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Day 1 28/08/2020
Room #1

## Keynote Speaker: Prof. Yuan-Li Cai 09:20 - 09:50

Limitation of the Air-bearing Hardware-in-the-Loop Simulation

## Session 1 10:00 - 12:00 ↓↑

10:00 - 10:00
A Simulation-based Optimization Framework for Online Adaptation of Networks

Today's data centers face a rapid change of deployed services, growing complexity, and increasing performance requirements. Customers expect not only round-the-clock availability of the hosted services but also high responsiveness. Besides optimizing software architectures and deployments, networks have to be adapted to handle the changing and volatile demands. Approaches from self-adaptive systems can be used for optimizing data center networks to continuously meet Service Level Agreements (SLAs) between data center operators and customers. However, existing approaches focus only on specific objectives like topology design, power optimization, or traffic engineering. In this paper, we present an extensible framework that analyzes networks using different types of simulation and adapts them subject to multiple objectives using various adaptation techniques. Analyzing each suggested adaptation ensures that performance requirements and SLAs are continuously met. We evaluate our framework w.r.t. (i) general requirements and assessments of languages and frameworks for adaptation models, (ii) finding Pareto-optimal solutions considering a multi-dimensional cost model, and (iii) scalability. The evaluation shows that our approach detects the bottlenecks and the violated SLAs correctly, outputs valid and cost-optimal adaptations, and keeps the runtime for the adaptation process constant even with increasing network size and an increasing number of alternative configurations.
Authors: Stefan Herrnleben (University of Wuerzburg), Johannes Grohmann (University of Wuerzburg), Piotr Rygielski (D4L data4life gGmbH), Veronika Lesch (University of Wuerzburg), Christian Krupitzer (University of Wuerzburg), Samuel Kounev (University of Wuerzburg),
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10:00 - 10:00
An IoT Network Emulator for Analyzing the Influence of Varying Network Quality

IoT devices often communicate over wireless or cellular networks with varying connection quality. These fluctuations are caused, among others, by the free-space path loss (FSPL), buildings, topological obstacles, weather, and mobility of the receiver. Varying signal quality affects bandwidth, transmission delays, packet loss, and jitter. Mobile IoT applications exposed to varying connection characteristics have to handle such variations and take them into account during development and testing. However, tests in real mobile networks are complex and challenging to reproduce. Therefore, network emulators can be used to simulate the behavior of real-world networks by adding artificial disturbance. However, existing network emulators often require a lot of technical knowledge and complex setup. Integrating such emulators into automated software testing pipelines could be a challenging task. In this paper, we propose a framework for emulating IoT networks with varying quality characteristics. An existing base emulator is used and integrated into our framework enabling the user to utilize it without extensive network expertise and configuration effort. The evaluation proves that our framework can simulate a variety of different network quality characteristics as well as emulating real-world network traces.
Authors: Stefan Herrnleben (University of Wuerzburg), Rudy Ailabouni (Bosch Engineering GmbH), Johannes Grohmann (University of Wuerzburg), Thomas Prantl (University of Wuerzburg), Christian Krupitzer (University of Wuerzburg), Samuel Kounev (University of Wuerzburg),
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10:00 - 10:00
Attention Aware Deep Learning Object Detection and Simulation

Dish recognition has certain difficulties in specific applications. Because food occupy most of the dishes, when using empty dishes or training some food in the dishes, this will also treat food as a feature of dishes. But misidentification occurs when new food are loaded. At the same time, because there are many types of food, if we collect all the dishes, the initial workload is huge. Based on the above ideas, this paper analyzes the model through three visualization methods, improves Faster R-CNN, and proposes a Cross Faster R-CNN model. This model consists of Faster R-CNN and Cross Layer, which can fuse the low-level features and high-level features of dishes. During training, the model can focus the feature extraction on the edges of the dishes, reducing the interference of dishes on dish recognition. This method improves the detection accuracy without significantly increasing the detection time. The experimental results show that compared with Faster R-CNN, the accuracy and recall of Cross Faster R-CNN have increased to a certain extent, and the detection speed has basically not changed significantly.
Authors: Jiping Xiong (College of Physics and Electronic Information Engineering,Zhejiang Normal University), Lingyun Zhu (College of Physics and Electronic Information Engineering,Zhejiang Normal University), Lingfeng Ye (College of Physics and Electronic Information Engineering,Zhejiang Normal University), Jinhong Li (College of Physics and Electronic Information Engineering,Zhejiang Normal University),
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10:00 - 10:00
Impact of Performance Estimation on Fast Processor Simulators

Hardware simulation is always a compromise between the speed of the simulator and the accuracy of the estimated runtime on the real hardware. Instrumenting fast simulation frameworks to estimate the times always results in tremendous slow-downs. In this paper, a quantization is done regarding the minimal overhead that can be expected when adding architectural models to a fast JIT enhanced emulation. Previous work only focused on new approaches and improving available methods, but not on the unavoidable overhead that is introduced with any kind of instrumentation. Thus, the additional simulation time of calling an empty stub function instead of a fully implemented architectural model is investigated. We show relative runtimes for calling a function after executing each instruction and after executing a block of instructions. Also, a comparison against fully implemented models is done. On the test platforms, an academic and a commercial processor simulator were evaluated. The resulting average relative runtimes of the minimal introduced overhead are determined to be between 2.24 and 8.09 meaning that an emulation takes twice to eight times as long with instrumentation enabled.
Authors: Sebastian Rachuj (Friedrich-Alexander-Universität Erlangen-Nürnberg), Dietmar Fey (Friedrich-Alexander-Universität Erlangen-Nürnberg), Marc Reichenbach (Friedrich-Alexander-Universität Erlangen-Nürnberg),
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10:00 - 10:00
Investigation of Containerized-IoT Implementation based on Microservices

Due to a rapid increase in potential scales of Internet of Things (IoT) systems, enterprises have started facing difficulties deploying, patching and upgrading the applications. Breaking these applications down into small and independent microservices and isolating them by using container engines leads to faster development, deployment and integration as compared to the traditional monolithic development approach. This paper introduces one such experimental implementation of simulated generic IoT services deployed separately as Docker containers on different machines using an open-source container orchestration platform Docker Swarm. Such a distributed implementation enables easier deployment and expansion of the system by adding and modifying only a few services in need unlike the redesigning of the entire application taking place in a monolithic approach. The objective of the approach is to conduct rapid prototyping of container-based simulated IoT microservices and investigate the management of multiple containers using opensource Docker Swarm. We validate the concept of developing and integrating containerized IoT microservices, and evaluate the effectiveness of the concept. The experimental result show that container-based IoT applications can be efficiently developed as microservices and multiple IoT containers can be effectively managed with a orchestrator. The experience can be applied to real IoT applications using actual IoT sensors and devices.
Authors: Jayanshu Gundaniya (Carleton University), Chung-Horng Lung (Carleton University),
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10:00 - 10:00
Effective Handover Process for Reliable Video Streaming over Software-Defined Wireless Networking

Handover process plays a crucial role in a Wireless Local Area Network (WLAN) with multiple Access Points (APs). To meet Quality of Service (QoS) or Quality of Experience (QoE) requirements for end-users, especially during video transmissions, such as real-time multimedia streaming or VoIP, the time required for handovers from one AP to another AP should be highly efficient; otherwise, end users may likely experience packet losses or longer delay, which leads to loss of significant information and degraded QoS/QoE. This paper discusses handover mechanisms using Software Defined Networking (SDN) for AP selection in a WLAN. The proposed approach enhances the existing handover process by considering both the received signal strength and load balancing of APs in order to provide better QoS/QoS during video transmissions over a Software-defined WLAN with multiple APs. A number of experiments have been performed using the Mininet-WiFi environment and the Ryu SDN controller. The results show that the proposed method improves QoS/QoE with lower delay, higher transmitted bytes, and visually higher quality video images.
Authors: Kavyashree Puttaswami (University of Ottawa), Chung-Horng Lung (Carleton University),
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10:00 - 10:00
Multi-Radio Relay Frequency Hopping Based on USRP Platforms

The wireless relay communication system can realize space diversity, expand the communication range, and increase capacity. The technology of frequency hopping communication helps the relay system randomly hop on multiple channels, which can improve system reliability. At present, most of the research related to relay communication and frequency hopping is based on theoretical analysis and numerical simulations, which can not precisely simulate the channel characteristics of the actual wireless communication environment. According to the decoding and forwarding (DF) relay transmission technology, this paper designs and implement the wireless multi-radio relay frequency hopping transmission system based on the software radio hardware platform USRP. The results show that the system realizes multimedia wireless data communication with a low packet loss rate through relay frequency hopping transmission.
Authors: Luying Huang (College of Communications Engineering, Army Engineering University of PLA), Yitao Xu (College of Communications Engineering, Army Engineering University of PLA), Xueqiang Chen (College of Communications Engineering, Army Engineering University of PLA), Dianxiong Liu (College of Communications Engineering, Army Engineering University of PLA), Ximing Wang (College of Communications Engineering, Army Engineering University of PLA),
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## Session 2 12:30 - 14:30 ↓↑

12:30 - 12:30
Fault diagnosis of vertical pumping unit based on characteristic recalibration residual convolutional neural network

The rod pumping unit is the main equipment of oil exploitation. The automatic, intelligent control and operation of pumping units is an important goal of building a smart oil field. The development of network and deep learning technology provides support for the realization of intelligent pumping unit systems. It is an important part of the new generation vertical pumping unit system to use the real-time collected operation data for condition monitoring and intelligent analysis and decision-making. Based on the operation data such as the collected dynamometer diagram, using the deep learning technology, the intelligent working condition analysis and diagnosis model of the new generation vertical pumping unit are established. The training time of the model is reduced while the accuracy of identification and classification is high, which meets the practical application requirements well.
Authors: you xiang duan (China University of Petroleum (East China)), cheng chang (China University of Petroleum (East China)), qi feng sun (China University of Petroleum (East China)), cheng ze du (China University of Petroleum (East China)), zheng yang li (Tianjin University),
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12:30 - 12:30
The Influence of Employees' Financial Equity Perception on Organizational Effectiveness in NPOs

Through a questionnaire survey of employees of some NPOs, the structural equation analysis shows that the NPO employee job satisfaction is mainly positively affected by distributive equity and procedural equity; the degree of being approved of the staff is mainly positively influenced by the financial information fairness and financial result fairness; staff satisfaction affects organizational citizenship behavior and organizational commitment; organizational commitment has some negative effect on organizational failure behavior; normative commitment and continuance commitment have positive influence on organizational identity perception, while affective commitment has not obvious positive impact on organizational identification perception.
Authors: Xia Li (Accounting College of Anhui University of Finance and Economics), Xiao xia Xie (Southwestern University of Finance and Economics),
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12:30 - 12:30
A novel Luby Transform code with Improved Ripple Size

Degree distribution of the encoded symbols is a critical factor that affects the performance of LT codes. Inspired by the SF-LT and the decreasing ripple size LT codes, we propose an SF-DRS degree distribution to construct LT codes, i.e., SF-DRS LT codes. Theoretical analysis proofs that our proposed LT codes possess the property that the ripple size decreases as the decoding process continues. Moreover, with an overhead factor of slighter larger than one, the ripple size of SF-DRS LT codes remains larger than one in the entire decoding process. The performance of our proposed LT codes is compared to SF-LT codes and decreasing ripple size over a perfect channel. Simulation results reveal that the proposed SF-DRS LT codes outperform the decreasing ripple size LT codes with respect to the probability of successful decoding, the average overhead factor with a relatively large number of input symbols, and the average degree of the encoded symbols. Moreover, in contrast to the SF-LT codes, the SF-DRS LT codes achieve a better probability of successful decoding.
Authors: Weina Dai (College of Medicine and Biological Information Engineering, Northeastern University, China), Yuli Zhao (Software College, Northeastern University, China),
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12:30 - 12:30
Image Denoising Method Based on Curvelet Transform in Telemedicine

To resolve the problems that the traditional image denoising methods are easy to lose details such as edges and textures, a new method of image de-noising was proposed. It based on the Curvelet denoising algorithm, using polynomial interpolation threshold method, combining with Wrapping and Cycle spinning techniques to determine the adaptive threshold of each Curvelet coefficient for denoising the medical images. Simulation experi-ments confirm that the new method reduces the pseudo Gibbs phenomenon, retains the details and texture of the image better, and obtains better visual effects and higher PSNR values.
Authors: Yang YU (Xuzhou University of Technology), DAN LI (Xuzhou university of technology), Yuan An (Xuzhou University of Technology), likai wang (Traffic police detachment of Xuzhou Public Security Bureau), weiwei liu (Traffic police detachment of Xuzhou Public Security Bureau), Kailiang Zhang (Xuzhou University of Technology),
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12:30 - 12:30
Research on Image Segmentation of Complex Environment Based on Variational Level Set

An improved image segmentation model was established to achieve accurate detection of target contours under high noise, low resolution, and uneven il-lumination environments. The new model is based on the variational level set algorithm, which improves the C-V (Chan and Vese) model, fuses the con-tour and area models to segment the image information, and solves the prob-lem of optimal solution of the energy model by finding the steady-state solu-tion of the partial differential equation. It can improve the calculation accu-racy, topological structure adaptability, anti-noise ability, and reduce the light sensitivity effectively. Experiment shows that the new model has good ro-bustness, high real-time performance, and it can effectively improve detec-tion accuracy.
Authors: Hang LI (Xuzhou University of Technology), DAN LI (Xuzhou institute of technology), Kailiang ZHANG (Xuzhou University of Technology), Chuangeng TIAN (Xuzhou University of Technology),
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12:30 - 12:30
A Biomechanical Model and Simulation of Vertebral Support and Lumbar Spinal Discs in Student Backpacks

Nowadays, many students are having to carry excessive amounts of weight in their backpacks every single day. Thousands of children are treated for backpack-related injuries every year, and the continuous strain has been linked in many studies to chronic spinal injuries in later life. The purpose of this project was to develop and simulate a new potential backpack design utilizing a theoretical bio-mechanical model in order to analyze the efficiency of applying exterior support to alleviate strain on lumbar spinal discs L4/L5 and L5/S1. Using anthropometric data collected from CDC statistics of 16-year-old male and female high school students, a simulation was conducted based on the 10th, 50th, and 90th percen-tiles, using the 3DSSPP program. The compression and shear forces were com-pared between the new design and current backpack models, with results demon-strating a significant reduction of forces, (around 44-67% and 25-38% for com-pression and shear forces, respectively). Thus, it was concluded that the new de-sign was able to help to prevent the discomfort and pain on back, even at a very heavy backpack weight. Results were discussed and future research directions were given to improve the applicability of the new design.
Authors: Meryl Liu,
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12:30 - 12:30

In the HPC field, metadata server cluster is a critical aspect of a storage system performance and with object storage growth, systems must now be able to distribute metadata across servers thanks to distributed metadata servers. Storage systems reach better performances if the workload stay balanced over time. Indeed, an unbalanced distribution can lead to frequent requests to a subset of servers while other servers are completely idle. To avoid this issue, different metadata distribution methods exist and each one has its best use cases. Moreover, each system has different usages and different workloads, which means that one distribution method could fit to a specific kind of storage system and not to another one. To this end, we propose a tool to evaluate metadata distribution methods on different workloads. In this paper, we describe this tool and we use it to compare state-of-the-art methods and one method we developed. We also show how outputs generated by our tool enable us to deduce distribution weakness and chose the most adapted method.
Authors: Eloïse Billa (CEA, University of Versailles), Philippe Deniel (CEA), Soraya Zertal (University of Versailles),
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12:30 - 12:30
GTRS Based Joint Time Synchronization and Source Localization in Wireless Sensor Networks

In this paper, we investigate the joint time synchronization and localization in wireless sensor network. Specially, based on time-of-arrival, we consider a squared-range-based least squares formulation problem and propose a generalized trust region subproblem (GTRS) based joint time synchronization and localization algorithm, which can guarantee an optimal solution to the join time synchronization and localization problem. Sufficient experiments results show that the estimation accuracy of proposed algorithm outperforms the traditional unconstraint linear least squares (ULLS) and nearly coincides with Cramer-Rao lower bound (CRLB).
Authors: Wei Liu (Xidian University), Qiqi Zhang (Xidian University), Zhiqiang Dun (Xidian University),
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## Session 3 14:40 - 16:40 ↓↑

14:40 - 14:40
Simulation Design of Power Electronic Transformer with Dual-PWM

With the continuous development of new energy power generation and smart grid, Power Electronic Transformer (PET) has a good prospect for development because of its remarkable advantages. Based on the topology of AC/DC/AC, the modulation strategy with dual-PWM (Pulse Width Modulation) is adopted to control the operation of power electronic transformers in this paper. The PET structure is consisted of three units: input portion, isolation portion and output portion. Model building and analyzing both at the input and output terminals are achieved step by step. And the simulation of the whole PET system with dual-PWM is accomplished with MATLAB/ Simulink. The simulation results show the control system stability and output voltage regulation precision are improved with feed forward voltage decoupling vector control system. The correctness and effectiveness of the control strategy are demonstrated through the simulation. PETs play an important role in enhancing power supply reliability for Power Grid and promoting the new energy power generation development.
Authors: Jiuyang Mu (School of Information and Electrical Engineering, Xuzhou University of Technology), En FANG (School of Information and Electrical Engineering, Xuzhou University of Technology), Guanbao Zhang (School of Information and Electrical Engineering, Xuzhou University of Technology), Songhai Zhou (Scientific Research Management Department, Jiangsu Zongshen Automobile Industry Limited Company),
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14:40 - 14:40
Research on Recognition Method of Test Answer Sheet Based on Machine Vision

When using the cursor reading technology to mark the answer card, the cur-sor machine can only be used for special card, which is expensive and diffi-cult to popularize. A new method of answer sheet recognition based on ma-chine vision and image processing was proposed. Firstly, the improved curvelet algorithm was used to preprocess the image to solve the problem of low resolution and high noise caused by different acquisition methods. Sec-ondly, Hough transform was used to detect lines and correct deformation of binary image. Finally, the answer area was segmented, and the vertical and horizontal projections were used to detect the question and option interval, generate grid lines, mark the center of rectangle and judge the option results. Experiments show that this method is accurate, efficient and robust to low resolution, tilt and noise.
Authors: DAN LI (Xuzhou university of technology), ping cui (xuzhou university of technology), Kailiang Zhang (Xuzhou University of Technology), weiwei liu (Traffic police detachment of Xuzhou Public Security Bureau), likai wang (Traffic police detachment of Xuzhou Public Security Bureau),
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14:40 - 14:40
FLSim: An Extensible and Reusable Simulation Framework for Federated Learning

Federated Learning is designed for multiple mobile devices to collaboratively train an artificial intelligence model while preserving data privacy. Instead of collecting the raw training data from mobile devices to the central server, Federated Learning coordinates a group of devices to train a shared model in a distributed manner with their local data. However, prior to effectively deploying Federated Learning on resource-constrained mobile devices in large scale, different factors including the convergence rate, energy efficiency and model accuracy should be well studied. Thus, a flexible simulation framework that can be used to investigate a wide range of problems related to federated learning is urgently required. In this paper, we propose FLSim, a framework for efficiently building simulators for federated learning. Unlike ad hoc simulators, FLSim is envisioned as an open repository of building blocks for creating simulators. To this end, FLSim consists of a set of software components organized in a well-structured software architecture that provides the foundation for maximizing flexibility and extensibility. With FLSim, creating a simulator generally involves only putting the selected components together, thus allowing users to focus on the problems being studied. We describe the design of the framework in detail and use a few use cases to demonstrate the ease with which various simulators can be constructed with FLSim.
Authors: Li Li (ShenZhen Institutes of Advanced Technology, Chinese Academy of Sciences), Jun Wang (Futurewei Technology), ChengZhong Xu (University of Macau),
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14:40 - 14:40
Detecting Dark Spot Eggs based on CNN GoogLeNet Model

Aiming at the problems of high labor intensity and low efficiency in detect-ing dark spot eggs, a method of detecting dark spot eggs based on convolu-tion neural network GoogLeNet model is proposed. This method uses Incep-tion convolution module in GoogLeNet model to automatically extract the features of dark spot eggs and realize the detection. A device for collecting transparent images of eggs was set up in the experiment, and the sample col-lection experiments were designed to acquire samples. A total of 1200 dark spot eggs images and 8850 normal eggs images were obtained. Selecting 1200 samples of these two kinds for network modeling. The experimental results show that the detection accuracy of dark spotted eggs based on CNN GoogLeNet model is 98.19%. In order to further verify the GoogLeNet mod-el, this paper repeats the above experiments using the VGG16 and VGG19 models of CNN model, and compares the accuracy. The results show that these three CNN models have higher detection accuracy. The detection method of dark spot eggs based on CNN GoogLeNet model is feasible and has high detection accuracy, which provides a new method for egg quality detection.
Authors: Jiang Minlan (Zhejiang normal university), Wu Peilun (Zhejiang normal university), Li fei (Zhejiang normal university),
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14:40 - 14:40
Simulation of Software Reliability Growth Model Based on Fault Severity and Imperfect Debugging

The existing software reliability growth model (SRGMs) usually assumes that the detected faults can be eliminated well when considering different types of software faults, to simplify the problem. Therefore, given these existing defects, we propose a new non-homogeneous Poisson process (NHPP) SRGM based on considering different fault severity. According to the complexity of the fault, we define the software fault as three levels: Level I is a simple fault, Level II is a general fault, and Level III is a severe fault. In the process of fault detection, the model comprehensively considers the tester's ability to find problems and the number of remaining issues. In the process of debugging, the problems of imperfection and new fault introduction are considered. Two kinds of real data sets, fault classification and non-classification, were selected and we made simulation for the proposed model and other traditional SRGMs on the PyCharm platform. The experimental results show that the software reliability model considering fault severity has excellent performance of fault fitting and prediction on both types of data sets.
Authors: Xuejie Sun (Ocean University of China), Jiwei Li (Ocean University of China),
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14:40 - 14:40
Research on intelligent recommendation method of e-commerce hot information based on user interest recommendation

in order to improve the effect of information intelligent recommendation, this paper puts forward the optimization research of hot information intelligent recommendation method based on user interest recommendation. The quality of user interest modeling directly determines the quality of personalized recommendation by collecting user interest and making intelligent recommendation based on information classification model. The basic process, principle and algorithm of personalized recommendation system are studied. Based on the algorithm principle of user data collection, user model representation, user model learning and user model updating, this paper optimizes the recommendation methods, completes the design and implementation of the intelligent recommendation engine in the special system, and optimizes the intelligent recommendation methods for hot information in e-commerce. Finally, through the experiment, it is proved that the intelligent recommendation method of e-commerce hot spot information based on user interest recommendation has improved the customer satisfaction and the effectiveness of recommendation information in the practical application process, which fully meets the research requirements.
Authors: huang jingxian (Guizhou Minzu University),
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14:40 - 14:40
Research on the optimization of e-commerce logistics model with user interest tracking: a case study of Japan

the common e-commerce logistics mode is analyzed by SWOT analysis, including self built logistics system mode, sharing logistics system mode with traditional business, outsourcing to third-party logistics mode, and logistics alliance mode which appears relatively late. This paper mainly analyzes the advantages and disadvantages of these four modes, and briefly analyzes the opportunities and threats faced by each mode. Secondly, the evaluation index of logistics mode selection is studied. Based on the idea of balanced scoring method, this paper analyzes and judges the logistics infrastructure, logistics service ability and logistics operation ability from multiple perspectives, and determines the index of logistics mode selection. Finally, the index weight is determined by fuzzy evaluation method and AHP.
Authors: huang jingxian (Guizhou Minzu University),
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14:40 - 14:40
A Novel Multi-objective Squirrel Search Algorithm: MOSSA

This paper suggests a non-dominated sorting genetic algorithm II (NSGA-II) as a multi-objective framework to construct a multi-objective optimization algorithm and uses the squirrel search algorithm (SSA) as the core evolution strategy. And a multi-objective improved squirrel search algorithm (MOSSA) is proposed. MOSSA establishes an external archive of the population to maintain the elitists in the population. The probability density is applied to limit the size of the merged population to maintain population diversity, based on roulette wheel selection. Also, this paper designs a fitness mapping evaluation according to the individual fitness value of each object. Compared with the original SSA, the generational distance (GD) is introduced to make the seasonal condition suitable for multi-objective optimization, which could keep the solution from the local con-vergence. This paper simulates MOSSA and other algorithms on multi-objective test functions to analyze the convergence and diversity of PF. It is concluded that MOSSA has a good performance in solving multi-objective problems.
Authors: Xinyuan Wang (Northeastern University), Fanhao Zhang (Northeastern University), Zhuoran Liu (Northeastern University), Qidong Zhao (Northeastern University), Changsheng Zhang (Northeastern University), Bin Zhang (Northeastern University),
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## Session A 16:40 - 17:40 ↓↑

09:00 - 09:00
A modified Gauss-Seidel iteration method for solving absolute value equations

The Gauss-Seidel iteration method is an effective tool for solving absolute value equations. However, the method usually fail to solve the equations as the problem size has increased. In this paper, we present a modified Gauss-Seidel (MGS) iteration method for solving the absolute value equation (AVE), in which a diagonal matrix Ω is introduced in the matrix splitting of the methods. The convergence theory of the MGS method is discussed under suitable conditions. Some examples are given to verify the effectiveness of the proposed method, and the numerical results show that the proposed method is efficient.
Authors: Peng Guo (Anyang Normal University), Shi-Liang Wu (Yunnan Normal University),
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09:00 - 09:00
What Heterogeneous Impacts does Internet Finance Have on the Profits of Chinese Commercial Banks?

Since 2012, the Internet finance (ITFIN), as a rising star in the financial industry, has impacted the traditional finance with its unique operating model and market transmission path. Our work explores the role of ITFIN on the profit structure and profitability of commercial banks from a new perspective of market structure. Based on the research on the mechanism of action, we construct an econometric model and conduct an empirical analysis: our panel data model contains the main indicators disclosed by 16 representative commercial banks from 2010 to 2018, including the total asset profit rate and the three major business development data. Our work draws the following conclusions and implications: First, the development of ITFIN will promote the profitability of commercial banks, and it will promote the diversified development of commercial banks' profit structure. Second, the impacts of ITFIN on the profitability of different types of commercial banks are heterogeneous. It has a greater impact on state-owned commercial banks and joint-stock commercial banks, while it has less or no impact on municipal commercial banks. Therefore, when developing, the commercial banks should actively change their business philosophy, deepen the financial market, reasonably make market positioning and behavioural decisions based on their development, and improve the market competitiveness.
Authors: Wanping Bai (Guizhou University of Finance and Economic), Xinyuan Su (Guizhou University of Finance and Economic), Ge Bai (Guizhou University of Finance and Economic),
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09:00 - 09:00
Modified LPMHSS method for a class of complex symmetric linear systems

In this paper, a modified LPMHSS (MLPMHSS) method is presented to solve a class of complex symmetric linear systems with strong Hermitian parts. Theoretical analysis shows that the MLPMHSS method converges to the unique solution of the system of linear equations under proper conditions. Numerical experiments are reported to confirm the efficiency of the proposed method.
Authors: Shi-Liang Wu (Yunnan Normal University),
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09:00 - 09:00
Block-diagonal and anti-block-diagonal splitting iteration method for absolute value equation

In this paper, by reformulating equivalently the absolute value equation (AVE) as a two-by-two block nonlinear equation, based on the block-diagonal and anti-block-diagonal splitting (BAS) of the coefficient matrix, a block-diagonal and anti-block-diagonal splitting (BAS) iteration method for solving the AVE is presented. Theoretical analysis shows that the BAS method is convergent under certain conditions. Numerical experiments are reported to demonstrate the effectiveness of the proposed method.
Authors: Shi-Liang Wu (Yunnan Normal University),
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09:00 - 09:00
An Improved Incremental Extreme Learning Machine Based on Dynamic Adaptive Search Strategy

As a promising learning algorithm for single-hidden layer feedforward networks (SLFNs), extreme learning machine (ELM) has been widely studied and used in various fields. However, how to automatically determine the suitable network architecture without reducing generalization performance is a crucial problem in the successfully application of ELM. To address this issue, this paper proposes an improved incremental extreme learning machine based on adaptive search strategy(AI-ELM). Different from the original incremental ELM (I-ELM), at each learning step of AI-ELM, the parameters of hidden nodes are not randomly chosen, but selected using the enhanced grey wolf optimization (GWO) algorithm. Experiment results over some benchmark applications show that the proposed approach can dramatically reduce the network size and obtains better generalization performance than other incremental ELM algorithms.
Authors: Zuozhi Liu (Guizhou University of Finance and Economics), Jianjun Jiao (Guizhou University of Finance and Economics), Quan Yuan (Finance Department, Guizhou University of Finance and Economics),
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09:00 - 09:00
Strategic Provision of Trade Credit in a Dual-Channel Supply Chain

This paper focuses on a dual-channel supply chain composed of a manufacturer and a capital-constrained bricks-and-mortar retailer, where a manufacturer can sell products through both direct online channel and traditional retail channel. The supplementary pricing strategy and competitive pricing strategy are presented in our model, and we find that the former one is the better choice for manufacture when the retailer has a capital constraint problem. In our analysis, the retailer’s capital constraint could mitigate the price competition between two channels, and it may be beneficial to the manufacturer under certain conditions. Our findings show that the manufacturer should provide trade credit to retailers strategically rather than provide it unconditionally. We present two trade-credit strategies (trade credit with positive interest rate and trade-credit with zero interest rate) and suggest manufacture choose appropriate trade-credit strategies according to the retailer’s initial capital. To guide the manufacturer when and how to provide trade credit, we further plot out the feasible region for each trade credit strategy based on corresponding conditions.
Authors: Qin wan (School of Economics and Management, Southwest Petroleum University), Yu Huang (School of Economics and Management, Southwest Petroleum University), Meili LU (Business Administration College, Shanxi University of Finance and Economics, Taiyuan 030006, China),
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09:00 - 09:00
Community management system based on SSM framework

In the 21st century, the internet has spread to every family and even everyone, making us know all kinds of new news through mobile phones and other tools every day.Widely and comprehensively publicize the community management system through the Internet, so that more communities and community management managers can understand and understand the advantages of the community management system. It can not only provide services to community users and know the community details anytime and anywhere, but also reduce a lot of working hours for community managers. For the community, if you have your own community management system, through the community management system, the community publicity and marketing will reach a new level and the community image will be improved at the same time.This paper mainly introduces the development process of the system from four parts: re-quirement analysis, overall design, detailed design and system test. The system uses B/S framework, SSM framework as the back-end development framework, Java programming language combined with jsp technology, and MySql data-base as the database. The main functions of this system are house management, household management, resident economic management, announcement man-agement, etc.
Authors: Desheng Zhang (Xuzhou University of Technology), Lei Chen (Xuzhou University of Technology),
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09:00 - 09:00
Design of and implementation of circuit performance test platform

In the electronics industry, how to quickly and effectively obtain circuit performance parameters is a key technology to improve product quality, service life and fault location. The system realizes the performance index of the detection circuit and designs the circuit performance detection platform, which can effectively obtain the basic performance parameters in the circuit, and can help the technician to quickly and quickly grasp the running state of the circuit and troubleshoot the fault. The circuit performance testing platform is a circuit testing platform with excellent performance, simple operation, economical and practical, which can improve work efficiency and make the testing work efficient, fast and accurate.The system realizes the detection of circuit voltage and current, performs spectrum analysis and harmonic analysis on voltage and current, which can calculates the effective power of the circuit, compares the harmonic analysis results of sinusoidal signals and periodic non-sinusoidal signals, and is jointly simulated by Labview and Multisim.
Authors: Desheng Zhang (Xuzhou University of Technology), Lei Chen (Xuzhou University of Technology),
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16:40 - 16:40
Engineering Semantic Composability Based on Ontological Metamodeling

The ontological metamodel as a whole which contains both of ontology and metamodel plays an increasingly important role to simultaneously describe and prescribe systems. Although this is satisfactory to improve semantic expres-siveness to some degree, not much has been addressed for simulation model development in an engineering way, neither is it said about how to systematical-ly guide this process. Hence, this study attempts to explore an ontological met-amodeling framework for semantic simulation model engineering. This frame-work starts with system descriptions by ontologies, refines and then transforms them toward system models until they reach an implementation. Along with this framework, we also identify that a set of composable modeling frameworks (CMF) is vital and employ ontologies into these CMFs to form the ontology-aware CMFs, namely ontoCMFs. As a proof of concept, we take the combat ef-fectiveness simulation systems (CESS) as a motivating case by designing its three-decomposition plus two-layer knowledge architecture, then defining a set of ontoCMFs.
Authors: zhi zhu (National University of Defense Technology), Ning Zhu (State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System), Yonglin Lei (National University of Defense Technology), Qun Li (National University of Defense Technology), Huabing Wang (State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System),
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16:40 - 16:40
Developing an Interactive Web-based Programming Platform for Learning Computer Networking Protocols

With the rapid development of network technology, researchers have increasingly demanded the scale and customization of the network. NS-3 simulator is a great tool which could cater the needs well. However, with the complicated installation steps and scattered learning resources, ns-3 has a high entry threshold to start with. Therefore, we have designed an online ns-3 learning platform with a front-end using vue framework, which provides users learning tutorial pages. The backend is set up by node.js and restify frameworks. The backend intergrates ns-3 engine by docker container cloud. Our platform is educational, programmable, interactive, and can support multi-user concurrency. Compared to the EasyHPC platform by Zou et al., our platform is characterized by the combination of learning tutorials and programmability. For our future work, we would implement the platform in the scalability of tutorial customization and graphic programming.
Authors: Dewei Zeng (School of Electronic Information and Communications, Huazhong University of Science and Technology), Zhiyu Zhang (School of Electronic Information and Communications, Huazhong University of Science and Technology), Jiye Chen (School of Electronic Information and Communications, Huazhong University of Science and Technology), Xiaojun Hei (School of Electronic Information and Communications, Huazhong University of Science and Technology),
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16:40 - 16:40
Accelerating Spectrum Sharing Algorithms for Cognitive Radio Transmitters in a Momentum Q-Learning Approach

The radio frequency spectrum is a scarce resource and cognitive radio has been under heavy research to improve the utilization of spectrum in the past thirty years. It is crucial to optimize the performance of cognitive radio for high values for practical applications while it has turned out to be very technically challenging. The conventional cognitive radio methods have strong pertinence and coupling because they are generally designed for a specific application environment. To address the problem of spectrum sharing with collision avoidance mechanisms in cognitive radio, in this paper we propose a new momentum-based Q-learning algorithm to accelerate reinforcement learning based spectrum sharing algorithms for cognitive radio transmitters. We conduct a performance evaluation study based on a simulation toolkit for the reinforcement learning research and the ns-3 network simulator “ns3-gym”. As a demonstrating case study, the proposed algorithm is able to capture the learnable patterns from a periodic channel occupation in a wireless environment and avoid channel collision effectively, finally improving channel efficiency and reducing the end-to-end time delay. The simulation results demonstrated that our proposed momentum Q-learning algorithm achieves a lower collision rate, faster convergence as well as stronger generalization capacity compared with two conventional algorithms including a greedy algorithm and a deep Q-learning network algorithm.
Authors: Lianghui Zhu (Huazhong University of Science and Technology), Zhanke Zhou (Huazhong University of Science and Technology), Zhaochuan Peng (Huazhong University of Science and Technology), Xiaojun Hei (Huazhong University of Science and Technology),
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16:40 - 16:40
A two-sweep iteration algorithm for non-Hermitian positive deﬁnite linear systems

Lately, Wang, Xiao and Zheng [Journal of Computational and Applied Mathematics, 346(2019): 471-482] presented the single-step iteration algorithm for the large sparse nonHermitian positive deﬁnite linear systems and gave the corresponding theoretical analysis and numerical experiments. In this paper, based on the single-step iteration algorithm, we construct a two-sweep iteration algorithm for the large sparse non-Hermitian positive definite linear systems and theoretically prove that the presented algorithm converges to the unique solution of the linear systems unconditionally.
Authors: litao zhang (Zhengzhou University of Aeronautics), hui bian (Henan foreign trade school),
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Day 2 29/08/2020
Room #1

## 9 AM - Session 4 09:00 - 10:45 ↓↑

09:00 - 09:00
Observation period length in channel selection

In wireless communication, transmitter often needs to select optimal channel from several available ones. Since the instantaneous channel rate is time-varying with unknown statistics, the channel selection is based on observation. As the packets arrive, controller need to observe channel state in observation period, and then transmit packets through optimal channel in transmission period. We investigate the trade-off between observation period and transmission period. Short observation period might lead to wrong decision while long observation period wastes time. The simulation results show that there is an optimal length of observation period. The total transmission time experience a sharp decreasing before the optimal point. The longer observation does not cause an obvious increasing of length. This implies that the observation could be set longer rather than shorter.
Authors: Yi Shi (Xuzhou University of Technology), Lei Chen (Xuzhou University of Technology), Kailiang Zhang (Xuzhou University of Technology), Yuan An (Xuzhou University of Technology), Ping Cui (Xuzhou University of Technology),
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09:00 - 09:00
Queue Regret Analysis under fixed arrival rate and fixed service rates

In wireless communication, transmitter often need choose one channel from several available ones. Since the instantaneous channel rate is time-varying with unknown statistics, the channel selection is based on observation. Evaluating the lost of scheduling based on observation is an important for design scheduling policy. By adopting the concept of queue regret fact, we carry out simulation under different arrival rate and channel service rate. As arrival rate is approaching the service rate of the best channel, the queue regret has a shape increase in our simulation. However, even if the arrival rate is higher than best service rate, the transmitter have still chance to find the best channel, and the queue regret will converge. The relationship between arrival rate, service rate, queue length and queue regret is analyzed in the simulation.
Authors: Ping Cui (Xuzhou university of Technology), Lei Chen (Xuzhou University of Technology), Yi Shi (Xuzhou University of Technology), Kailiang Zhang (Xuzhou University of Technology), Yuan An (Xuzhou University of Technology),
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09:00 - 09:00
Stability analysis of communication system under certain session arrival rate

The transmit rate of backbone network is much more fast than that of the edge network. In the edge wireless communication, transmitter often need select one channel from time-varying ones. Due to unknown statistics of time-varying channel, the channel, selection is based on observation. Evaluating the lost of scheduling based on observation is an important for design scheduling policy. By adopting the concept of queue regret fact, we can evaluate the effectiveness of scheduling policy. However, because the different arrival rates of backbone network and edge network in real commercial network, the traffic model affects the measurement in different way. In this paper, considering the difference between backbone networks transmit rate and edge network transmit rate, we adopt session arrival model to observe the relationship between arrival rate, channel service rate, queue length and queue regret is analyzed in the simulation.
Authors: Jiamin Cheng (Xuzhou University of Technology), Lei Chen (Xuzhou University of Technology), Ping Cui (Xuzhou University of Technology), Kailiang Zhang (Xuzhou University of Technology), Yuan An (Xuzhou University of Technology),
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09:00 - 09:00
The Influence of Enterprise Financing Structure in China on Business Performance ——Simulation analysis based on the system dynamics

Enterprise financing structure has an impact on the profitability and solvency of the enterprise to some extent, which is also called the influence on business performance. Enterprise managers and scholars have always focused on the influence of enterprise financing structure on business performance. This paper selects the data of the listed companies from 2010 to 2018, uses the method of the system dynamics, constructs the system dynamics model of enterprise financing structure, and simulates and analyzes the influence of equity financing and debt financing on enterprise business performance. The simulation shows: (1) Equity financing has an active impact on the rate of total assets and scale, while a negative impact on asset liability ratio. (2) Debt financing has an active impact on the rate of total assets, liability assets and scale. (3) Between the two external financing, the influence of equity financing on the business performance is better than the debt financing’s.
Authors: Cheng Li (Guizhou University of Finance and Economics), Jun Wan (Guizhou University of Finance and Economics),
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09:00 - 09:00
The Mechanism and Example Analysis of Restriction on the Diffusion Effect of “Development Pole” in Gelao Ethnic Group Areas in Northern Guizhou

In the context of Guizhou's rapid economic growth, the county’s economy of the whole province has shown an increasingly unbalanced economic development pattern. This phenomenon is more prominent in the province's minority autonomous counties, and has been in a "Two-Tiered Lag" development state for a long time. Based on this background, this article focuses on the Gelao ethnic’s settlements in northern Guizhou Province, and uses the theory of development poles to analyze its causes and formation mechanisms. The conclusion is that the essence of "two-tier lag" is that the diffusion effect of "development pole" has not been brought into full play effectively, which is due to the priority policy of lagging behind in transportation, less and later, and finally evolved into a vicious circle of low finance, insufficient transportation and weak economy. The article selects Wuchuan district 's economic and transportation data from 2003 to 2014, and uses factor analysis and comprehensive evaluation to quantify the matching degree of the economic and transportation development of Wuchuan district. The results are the average matching degree of economic and transportation development in Wuchuan district was poor,the development of transportation has been unable to keep up with the demands of economic growth,and development has entered a well-matched low-level development model, strengthening the vicious circle path.
Authors: hongyan zeng (guizhouminzuuniversity),
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09:00 - 09:00
Simulation study on Chinese stock market development based on system dynamics model

Utilizing the annual data from 2011 to 2018, this article selects the money supply, interest rate and GDP as the key variables affecting stock market, constructs the system dynamics simulation model. Through the numerical adjustment of the key variables, simulation analyzes the influence of the money supply, interest rate and gross domestic product (GDP) on the development of the stock market. The simulation results show that money supply and GDP have a positive effect on stock market value, while interest rate has a negative effect on stock market value.
Authors: Tao Lin (College of Big Data Application and Economics of Guizhou University of Finance and Economics), Chenggang Li (Guizhou University of Finance and Economics),
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09:00 - 09:00
Multi-stage Network Recovery to Maximize the Observability of Smart Grids

Large-scale natural disaster or malicious attacks could cause serious damages to the communication network of smart grids. If the damaged network cannot be re-covered timely, greater threat will be brought to the secure and stable operation of smart grids. However, network recovery will take a lot of time, and the recovery process will involve multiple stages due to the limited recovery resources. In this paper, we addresses the problem of network recovery by selecting partial dam-aged links to be repaired in every stage so as to maximize the number of survival services. We formulate the problem as 0-1 programming, and then propose a heu-ristic algorithm to solve the problem. Extensive simulations are carried out by varying the topologies, the number of services, and the number of stages. The simulation results demonstrate that the heuristic algorithm is time-efficient and near-optimal.
Authors: Huibin Jia (North China Electric Power University, Baoding, China), Qi Qi (North China Electric Power University,Baoding,China), Min Wang (North China Electric Power University,Baoding,China), Min Jia (North China Electric Power University,Baoding,China), Yonghe Gai (North China Electric Power University, Baoding, China),
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## Session 5 11:00 - 13:00 ↓↑

11:00 - 11:00
Progressive iterative approximation of SOR for non-uniform cubic B-spline curve and surface interpolation

Progressive iterative approximation (PIA) is an efficient data fitting technique which makes the initial curve or surface approximate the data points to be processed by successive iterations. However, due to the relatively large spectral radius of the iterative matrix in traditional PIA, the iterative convergence rate is relatively slow, which results in poor efficiency of data fitting. In this paper, we developed a successive over-relaxation progressive iterative approximation (SOR-PIA) for non-uniform cubic B-splines to overcome the defect. Besides, we employed the equidistant search strategy to estimate the relaxation factor, which greatly accelerates the convergence speed of the iterative process. Experimental results show that SOR-PIA iterative interpolation can achieve a higher accuracy within the equivalent number of iterations compared with the standard PIA and weighted PIA (WPIA) iterative interpolation.
Authors: Liangchen Hu (Zhejiang University of Technology), Huahao Shou (Zhejiang University of Technology), Shiaofen Fang (Indiana University-Purdue University Indianapolis),
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11:00 - 11:00
Research and development of hydraulic controlled vibration damper with vibration energy absorption

Research on the core technology has obtained a patent for invention authorization of hydraulic controlled vibration damper with vibration energy absorption. The hydraulic cylinder structure is designed by the principle of liquid incompressibility. The hydraulic circuit increases and the gap distance changes due to the movement of balance plate under the pressure difference between the two chambers of the hydraulic cylinder. With the damping effect and pressure drop of liquid flow, the purpose of efficient vibration reduction is achieved by absorbing the vibration energy into heat. The invention patent of the self-tuning hydraulic vibration energy absorption is suitable for the situations with high speed, precision, light load and small and medium energy level. For example, the measurement accuracy is improved by vibration reduction with dynamic weighing in instrument. And the processing precision is achieved by vibration reduction for precision machine tools. The invention patent of high power hydraulic emergency energy absorption for multistory parking area is applicable to the conditions with high altitude fall, impact, collision and large-scale energy absorption, such as elevator emergency energy absorption safety devices, the bases of forging press machine tools, high-speed rail locomotive vehicle chassis, and so on.
Authors: En FANG (School of Information and Electrical Engineering, Xuzhou University of Technology), Renli Wang (Xuzhou University of Technology), Liwen WANG (Xuzhou University of Technology), Shuyun QIAO (Xuzhou University of Technology), Jianzhong XI (Xuzhou University of Technology),
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11:00 - 11:00
Design of a novel T-type Power Divider feed network

A novel type of T-type Power Divider feed network is designed for the difficulty of meeting the needs of both the broadband and miniaturized applications of the existing circularly polarized antenna. At the center frequency, the input signal is transmitted through the active shift phase feed network, and the four-way signal is equitized at its output port, with a phase lag of 90o in turn. It is worth noting that the T-type node does not have an isolation resistor, so the matching and iso-lation of the output port is not considered. The test results list the echo loss of the internal functional feed network Input port, the insertion loss of the circuit, and the phase difference between the output ports. The network theory is applied in the antenna feed network, which can improve the performance of the antenna and is suitable for long-distance highly directional reading and writing applications.
Authors: Lulu Bei (Xuzhou Institute of Technology), Ji Shen (Xuzhou Institute of Technology), Lei Chen (Xuzhou Institute of Technology), Kai Huang (JiangSu XCMG Information Technology Co., LTD.),
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11:00 - 11:00
Design of Circular Polarization Array Antenna Based on Uniform Rotating Feed Network

In order to improve the quality of the receiving and transmitting signals in the underground wireless communication system, the circular polarization antenna located at the front of the communication system is studied. A 16 array circularized reading and writing antenna with a center frequency of 2.4GHz is proposed for the formation of a center-shaped square-shaped circular-polarized patch radiation structure based on two-stage rotation. The structural composition and working principle of the microband antenna are introduced, and the function differential theory is applied to the feed antenna network. Finally, the simulation and experiments proved that the antenna has the advantage of having a high front-to-back ratio, and improved the performance of the antenna.
Authors: Lulu Bei (Xuzhou Institute of Technology), Qijia Zhou (Xuzhou Institute of Technology), Kai Huang (JiangSu XCMG Information Technology Co., LTD.), Lei Chen (Xuzhou Institute of Technology),
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11:00 - 11:00
Research on The Path to Brand-building of Characteristic Agricultural Products - An Empirical Analysis Based on Southwest China

The brands associated with characteristic agricultural products reflect the quality, advantages, and culture of regional products; these brands affirm the regional characteristics and advantages of specific agricultural products. Exploring the path forward to build the brands of characteristic agricultural products helps provide a reference for transforming the advantages of existing resources into competitive advantages for the southwest region.This can further enhance the level of brand development of characteristic agricultural products.This study investigated the factors influencing characteristic agricultural product brands, constructed a theoretical model for brand building for characteristic agricultural products, and conducted an empirical study on the mechanism forming characteristic agricultural product brands in southwestern China using a structural equation model (SEM). The empirical results show that in descending order of importance, the factors influencing the regional brand reputation are: geographical resource endowment, management, regional culture, and government support. The geographical resource endowment and regional culture factors influence regional brand reputation through management. The intermediary effect of management is significant in the corresponding path, and serves as the core driving force to advance the reputation of the regional brand. The intermediary effect of government support is not significant in the corresponding path.
Authors: Dayou Xu (Guizhou University of Finance and Economics), Yanping Lin (School of Business Management, Guizhou University of Finance and Economics), Chenggang Li (School of Big Data Application and Economics, Guizhou University of Finance and Economics), Tiantian Tong (School of Business Management, Guizhou University of Finance and Economics),
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11:00 - 11:00
Enhanced Shortest Path Routing Algorithm for Named Data Mobile Ad-hoc Network

Named Data Network (NDN) technology can efficiently mitigate the negative influence due to instable links and dynamic topology on MANET performance. Considering MANET nodes’ mobility, this paper enhances NDN's shortest path routing algorithm by storing the interest packets generated by the consumer in the pending interest tables (PITs) of the shortest path's neighboring nodes, aiming at building the backup paths for transmitting back the requested data packets, so as to mitigate the shortest path disruption problem caused by MANET topology dynamicity. This paper designs and implements a simulation platform based on NS3 / ndnSIM, and the experimental results indicate that, the enhanced shortest path plus backup (SPPB) algorithm can effectively decrease the average request response delay and improve successful request response ratio.
Authors: Junyu Lai (University of Electronic Science and Technology of China), Zhengyin Han (University of Electronic Science and Technology of China), Yingbing Sun (University of Electronic Science and Technology of China), Han Xiao (University of Electronic Science and Technology of China), Xiaohui Zheng (University of Electronic Science and Technology of China),
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11:00 - 11:00
Ecological Administration Contract Design for Enterprise and Local Government Based on Bottom-Line Thinking

Based on the perspective of ecological bottom-line thinking, government administration and corporate manufacturing and management are new type of cooperation instead of the relationship between cat and mouse. The corporate and the government are committed to sustainable economic development in the context of ecological and environmental protection. the ecological value preference parameters are introduced in the classic incentive contract model, and the improved incentive contract is constructed in the framework of ecological bottom-line and economic sustainable development thinking of government administration and corporate social responsibility, and the model equilibrium is analyzed. Finally, a numerical example is constructed to verify the correctness of the conclusion. The research results show that the introduction of ecological value preference parameters can effectively coordinate the interests of government and corporate, and control incentive costs; the ecological value preference of government and corporate, the marginal output of corporate and risk aversion will affect the change of incentive contracts.
Authors: Hongwei Lin (Hubei Industrial Polytechnic), Cheng gang Li (Guizhou University of Finance and Economics), Yihong Luo (Guizhou Academy of Social Sciences),
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## Session 6 13:30 - 15:30 ↓↑

13:30 - 13:30
Quality of Experience Test Cases and Key Parameters in Heterogeneous Vehicular Networks Scenarios

Based on above observations, this paper seeks to analyze the representative multimedia use cases over the heterogeneous wireless networks. The purpose is to identify and document the characteristics of emerging typical mobile multimedia applications including video services, audio services and burst data services. For each use case, the analysis of QoE and system requirements is provided. This in-depth analysis and the identified QoE requirements will offer the important guideline for design of the overall system architecture and definition of the system functional components for QoE test. Furthermore, the bottlenecks of existing wireless access technologies are discussed.
Authors: Yun Chen (Xuzhou University of Technology), Lei Chen (Xuzhou University of Technology), Ping Cui (Xuzhou University of Technology), Kailiang Zhang (Xuzhou University of Technology), Yuan An (Xuzhou University of Technology),
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13:30 - 13:30
How to deploy timer for retransmission

In some emerging mobile applications, the UDP has advantage for service latency. However, retransmission mechanism is essential to deal with losing packets while the service is based on UDP protocol. The timer for re-transmission could be deployed on sender side or receiver side. To compare these two approaches, we investigate the relationship between service latency and losing packet rate in simulation. The results show that deploying the timer on receiver side obtains higher performance than the traditional method does within unstable channel environment. A new retransmission algorithm is proposed to emerging mobile applications.
Authors: Jiamin Cheng (Xuzhou University of Technology), Lei Chen (Xuzhou University of Technology), Ping Cui (Xuzhou University of Technology), Yuan An (Xuzhou University of Technology), Kailiang Zhang (Xuzhou University of Technology),
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13:30 - 13:30
Remote Vehicular Control Network Test platform Design

In this paper, we propose a remote control network architecture is designed for low speed vehicle remote driving. By using 4G cellular network access to general cloud service platform, the control network is easy to deployed in common commercial networks. A control signal transmit experiment is exe-cuted in the commercial network crossing thousand miles; the performance show that the common 4G cellular and backbone networks can support the real-time signal transmit for low speed vehicle. Video latency is tested using different cameras, and the MOS is used to describe the difficulty to drive a remote vehicle under certain video latency.
Authors: Lei Chen (Xuzhou University of Technology), Ping Cui (Xuzhou University of Technology), Yun Chen (Xuzhou University of Technology), Kailiang Zhang (Xuzhou University of Technology), Yuan An (Xuzhou University of Technology),
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13:30 - 13:30
Learning parameter analysis for machine reading comprehension

Machine reading comprehension is the ability for computers to read, process and understand natural language texts, which is one of the core abilities of artificial intelligence. It has important value in the next generation search engine and intelligent customer service products. For example, in the past, due to the small scale of data sets, the traditional rule-based methods were often used, so the development of machine reading comprehension system was limited and could not meet the needs. Later, with the development of deep learning, scholars put forward the neural reading comprehension model, that is, using deep learning to complete the task of machine reading comprehension. Compared with the traditional machine reading comprehension, this kind of method is better at mining the context semantic information of text, and the effect of the model is significantly improved.
Authors: Xuekui Li (Xuzhou University of Technology), Lei Chen (Xuzhou University of Technology), Yi Shi (Xuzhou University of Technology), Ping Cui (Xuzhou University of Technology),
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13:30 - 13:30
Hyperparameter analysis of Temporal Graph Convolutional Network model applied to traffic prediction

The temporal graph convolution network (T-GCN) can provide a good solution for traffic prediction task, which is combined with the graph convolutional network (GCN) and the gated recurrent unit (GRU). In the new model of T-GCN, the optimal setting of important superparameters can obtain ideal prediction results. At the same time, the optimization of super parameters can improve work efficiency, reduce running time and save running resources. Therefore, the study and analysis of the relationship between relevant super parameters and performance effect is a very important part. This paper studied the T-GCN model to analyze the relationship between important hyperparameters such as learning rate, batch size and training epoch and the predicted effect. The results of this paper can provide the direction of thinking and reference for the optimization and selection of hyperparameters of T-GCN model.
Authors: Jing Huang (Xuzhou University of Technology), Lei Chen (Xuzhou University of Technology), Yuan An (Xuzhou University of Technology), Kailiang Zhang (Xuzhou University of Technology), Ping Cui (Xuzhou University of Technology),
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13:30 - 13:30
Research on user experience quality evaluation method of Internet of vehicles based on sEMG signal

Surface electromyograph, (sEMG) as the sum of the muscle movement potential, can reflect the load conditions within the human body muscle, assess muscle stress state, adapted to the fore leg muscle state environment evaluation of vehicle network users, and then get the current user psychological experience quality, technical parameters for improving vehicle network standards. In this paper, root mean square (RMS), the time-domain characteristic of sEMG signals, was used to represent the changing trend of physiological signals of users under different emotional states, as well as the relationship between their muscle states and psychological states. The results show that the RMS value of sEMG signal is low and the muscles are not easy to reach the fatigue state when users are in a relatively calm and pleasant state, which further proves that the characteristic value of sEMG signal can be used as a reference value to evaluate the quality of user experience.
Authors: jiamin cheng (xuzhou university of technology), yuan an (xuzhou university of technology), ping cui (xuzhou university of technology), Kailiang Zhang (Xuzhou University of Technology),
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13:30 - 13:30
Level set segmentation based on the prior shape of biological feature

The identification of user’s identity which is based on the analysis and measurement of the biological characteristics has become a research hotspot. The precise location and segmentation of the target is the basis for accurate biometric recognition. In view of the similarity of the external shape of human biological characteristics, the prior shape knowledge is introduced into active contour model based on level set. First, the training data of the shape function, which is expressed by the level set, are projected onto a lower dimensional subspace and achieved the primary attribute reduction on approximately Gaussian distribution of the training set using PCA method. Second, the further optimized properties are obtained by minimization class attribute interdependence minimization (CAIM) algorithm. Finally, under the constraints of the prior shape and object personality traits, level set curve based on the border and region can accurately evolve into the target boundary. Experiments demonstrate that our model can cope with image noise and clutter, as well as partial occlusions.
Authors: Ji Zhao (University of Science and Technology Liaoning), Dongxu Ji (University of Science and Technology Liaoning), Yuxiang Feng (University of Science and Technology Liaoning),
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13:30 - 13:30
Accelerating method of evolutionary ensemble learning based on Gaussian random field

In recent years, research on ensemble learning of neural networks is very popu-lar. As a research hotspot in the field of machine learning, ensemble learning methods can effectively improve the accuracy and generalization of deep net-work models, but not all neural networks are suitable for participating in the con-struction of ensemble model. Deep network ensemble learning requires a single neural network participating in the ensemble to have a high accuracy rate, and there is a large difference between the networks. In the initial stage of deep net-work ensemble learning, the generation process of the candidate deep network set is first required. In this article, a multi-objective evolutionary ensemble model is improved, and an evolutionary ensemble learning acceleration method based on Gauss random field is added before the evaluation of fitness function which can screen individuals with great potential for improvement in the evaluation of fitness function during the generation of candidate deep network sets, thereby effectively improving the quality of the solution and reduce the time spent train-ing neural networks. This pre-screening strategy is applied to the solution of the multi-objective differential evolution algorithm, which can conveniently obtain a large number of neural network models with high accuracy and large network differences. And this strategy speeds up the solution process of multi-target algorithm.
Authors: Guanghua Xu (Northeastern University), Zifeng Dai (Northeastern University), Zhihong Liu (Northeastern University), Chen Zhang (Northeastern University), Bin Zhang (Northeastern University), Changsheng Zhang (Northeastern University),
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## Session B 15:30 - 16:30 ↓↑

15:30 - 15:30
A Massive MIMO User Selection Algorithm based on Effective Capacity

To obtain maximum spectral efficiency (SE) in massive multiple-input multiple-output (MIMO) systems, researchers have investigated the optimal number of scheduled users for one time slot. The probability of delay violation is an important QoS index that depends on transmission stability over a long period rather than the instantaneous transmission rate. By adopting the ef-fective capacity (EC) theory of wireless channels, the relationship between the effective SE, the QoS constraint, and the number of scheduled users can be formulated as a continuous function. However, it is difficult to give the explicit solution for the optimal number of scheduled users. We present an algorithm to obtain the suboptimal number in this paper.
Authors: Jing Huang (Xuzhou University of Technology), Lei Chen (Xuzhou University of Technology), Ping Cui (Xuzhou University of Technology), Kailiang Zhang (Xuzhou University of Technology), Yuan An (Xuzhou University of Technology),
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15:30 - 15:30
Effective Capacity Analysis on Communication of Blockchain Synchronization Software-Defined Industrial Internet of Thing

In a blockchain network, the states of the accounts are stored and updated by the validator nodes, interconnected in a peer-to-peer fashion. In order to interact with the most recent state of accounts, a IoT device needs to be synchronized with the blockchain copy stored by the validator nodes. Prediction of QoS is important for software-defined IoT design. Based on the model of the traffic generated by the synchronization protocols, we adopt the effective capacity (EC) theory of wireless channels to analyze the relationship between QoS request and key parameters of synchronization protocols. The simulatin results show that QoS level is affected by the rate at which the new block is created.
Authors: Yun Chen (Xuzhou University of Technology), Lei Chen (Xuzhou University of Technology), Ping Cui (Xuzhou University of Technology), Kailiang Zhang (Xuzhou University of Technology), Yuan An (Xuzhou University of Technology),
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15:30 - 15:30
An Active Machine Learning Method Based on Quantum Classifier

Comprehending user demands through several human–computer interactions can effectively increase information-retrieval accuracy. Main active learning algorithms adopting uncertainty sampling strategy have high computation complex. To improve interactive information-retrieval efficiency and accuracy, an sampling strategy based on the error-correcting capacity of samples was proposed for active learning. This strategy evaluated the expected value of unlabeled samples by calculating their potential error-correcting capacity asso-ciated with the classifier. Based on this sampling strategy, a fast interactive in-formation-retrieval scheme adopting reinforcement learning and low-complexity classifier was designed in this study. To deal with bigger dataset, we adopt quantum classifier to redesign this active machine learning method.
Authors: Jiamin Cheng (xuzhou university of technology), Lei Chen (Xuzhou University of Technology), ping cui (xuzhou university of technology),
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15:30 - 15:30
Analysis on Relationship between fractional calculus fluid model and Effective Capacity of Bursty Data Service in Multi-hop Wireless Networks

A model fractional calculus fluid model can be used to explain the bursty data service traffic, which is long-range dependence and has a fractal-like feature of network data flow. The heavy-tailed delay distributions, the hyperbolically decay of the packet delay auto-covariance function and fractional differential equations are shown to be formally related. Effective capacity is a useful model to describe the wireless networks with QoS constraint. This paper builds a fluid model to describe the traffic of multi-hop wireless networks under QoS constraint.
Authors: Lei Chen (Xuzhou University of Technology), ping cui (xuzhou university of technology), Kailiang Zhang (Xuzhou University of Technology), Yuan An (Xuzhou University of Technology),
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15:30 - 15:30
Fast preconditioned scheme for the fractional complex Ginzburg-Landau equation

In this paper, we propose a fast preconditioned iteration method for solving the Toeplitz complex linear system arising from the space fractional Ginzburg-Landau equation, in which the coefficient matrix is equal to the sum of a complex scaled Toeplitz matrix and a symmetric tridiagonal matrix. The preconditioned iteration method enjoys computational advantage since the circulant preconditioner and fast Fourier transform (FFT) can be used for solving the involved linear subsystem. Numerical results are given to illustrate the effectiveness of the proposed method.
Authors: Lu Zhang (Xuzhou University of Technology), Lei Chen (Xuzhou University of Technology), Wenyu Zhou (Xuzhou University of Technology),
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15:30 - 15:30
Preconditioned linearized difference scheme for nonlinear fractional complex Ginzburg-Landau equation

In this work, we propose a new fast preconditioned iteration method for solving the Toeplitz-like complex linear system arising from the nonlinear fractional Ginzburg-Landau equation, in which the coefficient matrix is equal to the sum of a real Toeplitz matrix and a complex diagonal matrix. The proposed method enjoys computational advantage since the circulant preconditioner and fast Fourier transform (FFT) can be used for solving the involved linear subsystem. Numerical results are given to demonstrate the effectiveness of the preconditioned iteration method.
Authors: Lu Zhang (Xuzhou University of Technology), Lei Chen (Xuzhou University of Technology), Xiao Song Song (Xuzhou University of Technology),
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15:30 - 15:30
Rational Lanczos method for the symmetric positive semidefinite Toeplitz matrix function

The rational Lanczos method is exploited to approximate the symmetric positive semidefinite Toeplitz matrix functions. The complexity is lowered by the Gohberg– Semencul formula and the fast Fourier transform. Application to the numerical solution of an differential equation is studied. Numerical experiments are carried out to demonstrate the effectiveness of the proposed method.
Authors: Lei Chen (Xuzhou University of Technology), Lu Zhang (Xuzhou University of Technology), Mengjia Wu (Xuzhou University of Technology), Jianqiang Zhao (Xuzhou University of Technology),
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15:30 - 15:30
Information intelligent acquisition generated by matrix reasoning of inverse P-Set

More and more attention has been paid to the intelligent acquisition of information in the field of data mining in big data, Internet of things and so on. Unlike popular methods such as machine learning, this paper attempts to propose a matrix reasoning method for intelligent information acquisition from the perspective of set theory. The inverse packet set (P-set) is a new set model with dynamic features. In the inverse P-set, the attribute $\alpha_{i}$ of the element $x_{i}$ satisfies the expansion or contraction paradigm for attribute extraction. Based on the concept of inverse P-set, this paper presents some new concepts as $\alpha^{F}$-information equivalence class, $\alpha^{\overline{F}}$-information equivalence class, and $(\alpha^{F}, \alpha^{ \overline{F}})$-information equivalence class. Then, this paper gives some theorems as internal inverse P-augmented matrix inference, outer inverse P-augmented matrix inference, and inverse P-augmented matrix inference, which are generated by the above information equivalence class. At last, this paper gives the application of intelligent acquisition of information.
Authors: shouwei Li (Guizhou University of Finance and Economics), Zongjun You (Guizhou University of Finance and Economics),
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15:30 - 15:30
Debt Risk Research on PPP Model Based on VAR (Value at Risk) Model

the report of the 19th national congress points out that from now on to 2020 is the decisive period for building a moderately prosperous society in an all-round way, while PPP project investment involves 19 industries, such as transportation, comprehensive development of cities and towns, education, health care, pension, etc., providing more convenience and services for people's lives. At present, the amount of investment in PPP projects in China is relatively large, and the cumulative investment is more than 13 trillion yuan. China's PPP projects have formed the largest PPP market in the world. The promotion of PPP model is conducive to solving the problem of finance shortage of local governments, but the poor application of PPP model will lead to debt risk, even financial risk. This paper first analyzes the current situation of PPP model in China, then uses VAR model to quantify the debt risk loss caused by PPP projects, and local governments should prepare corresponding reserve funds to prevent the loss. Finally, in view of the debt risk, it puts forward some policy suggestions, such as the establishment of PPP project feasibility analysis, implementation process supervision, performance evaluation, and risk prevention mechanism.
Authors: GuangLi Yang (Xinhua College of Sun Yat-Sen University),
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15:30 - 15:30
A New Modeling and Analysis Approach of Overseas Tax Reform Requirements

Along with the explosive development of the Internet, the domestic consumer's consumption level unceasing enhancement, more and more to pursue high quality life, in order to meet the needs of their own and vanity and living out of a way of shopping - overseas procurement agent. Because of the explosive growth of overseas procurement agent, there are also many problems, so it is very important to standardize law and institutionalize the overseas procurement agent behaviors. Based on overseas procurement agent tax reform the necessity of the implementation of the new deal as the research subject, firstly describes the present situation of overseas procurement agent at home and abroad, mainly through the analysis of existing problems for overseas procurement agent behavior and overseas procurement agent tax reform the superiority of the new deal implementation and influence, clearly put forward the necessity of overseas procurement agent tax reform new deal implementation. Second, to overseas procurement agent problem which caused by the tax reform after implementation of the new deal to make further analysis, and cross-border electricity enterprise itself from the government management and so on different levels and overseas procurement agent tax reform new deal implementation problems encountered in the process of combining, puts forward his own suggestions and comments.
Authors: GuangLi Yang (Xinhua College of Sun Yat-Sen University),
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15:30 - 15:30
Minimizing Synchronizations in BiCGStab2 Algorithm for Distributed Parallel Computing

In this paper, an improved minimizing synchronizations BiCGStab2 method (IBiCGStab2 method, in brief) for solving large sparse linear systems with un- symmetric coefficient matrices is proposed for distributed supercomputers. The method reduces three global synchronization points to one by eliminating corre- sponding data dependency in the original BiCGStab2 method. Meanwhile, it can keep the number of vector updates and matrix-vector multiplications unchanged. Theoretical results show that the scalability can be improved by a factor greater than 3 and the improvement in parallel communication performance approaches 66.˙6%. Numerical experiments also show that the new IBiCGStab2 method and the original BiCGStab2 method have the same numerical stability and convergence behavior with or without preconditioning and the IBiCGStab2 method has better parallelism and scalability than the original BiCGStab2 method, which agree with the theoretical analysis results.
Authors: litao zhang (Zhengzhou University of Aeronautics), Xianyu Zuo (Henan University),
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15:30 - 15:30
Research on Influence Mechanism of e-WOM on Purchase of Followers in Virtual Community

With more abundant forms of e-WOM, the virtual community provides consumer with an important site for sharing the personal comprehension on products and exchanging the use experience. Electronic commerce blending into social communication has been a new development direction of electronic commerce. In social network perspective this paper analyzes the influence of the three related indicators upon the follower purchase, viz. the feature of e-WOM releaser, the interaction of e-WOM diffusion and the factor of commodity and builds a model of influence and tests it empirically by taking koubei.jumei.com as the object of research. The result of Logit regression demonstrates that there is a positive influence of the frequency of releaser’s being followed, the total amount of released e-WOM, the number of times of e-WOM being read over follower purchase; the influence of the frequency of releaser’s following, and the quantity of replies of e-WOM and usefulness on follower purchase is not significant. These conclusions have some direction effects on building the virtual community of electronic commerce and provide a new idea for the further study of the direct influence of e-WOM upon purchase behavior.
Authors: Meili LU (Business Administration College, Shanxi University of Finance and Economics, Taiyuan 030006, China), Yujia Gao (Business Administration College, Shanxi University of Finance and Economics), Qin Wan (School of Economics and Management, Southwest Petroleum University),
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15:30 - 15:30
Modeling Interactions among microservices communicating via FIFO and Bag buffers

Interactions among individual microservices communicating asynchronously via FIFO or bag buffers vary significantly even for the same buffers of differ-ent sizes. However, these interactions among microservice communicating asynchronously via FIFO and bag buffers are seldom distinguished. In this paper, we present new results for modeling interactions among microservices that communicate with each other via FIFO buffers and bag buffers. First, we propose a framework to uniformly define two asynchronous communica-tion models with FIFO buffers or bag buffers. Second, we model interaction behaviors among microservices as sequences of send and receive message ac-tions under the two asynchronous communication models. Finally, we com-pare the two asynchronous communication models using refinement check-ing to show their differences.
Authors: fei dai (Southwest Forestry University), Jinmei Yang (Southwest Forestry University), Qi Mo (Yunnan University), Hua Zhou (Southwest Forestry University), Lianyong Qi (Qufu Normal University),
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15:30 - 15:30
Approximation algorithms for the balanced optimization splicing problem in undirected graph

In this paper, we study a new splicing problem of balanced optimization in undirected graph, where all edges needed in balanced spanning subgraphs structure are supposed to be shear from some pieces of a specific material with fixed length. Formally, we consider the problem defined as follows: given a simple connected wighted undirected graph $G=(V,E;w)$, a balanced spanning structure $\mathcal{A}$ and some pieces of specific material with length $\ell$, where $w:E\rightarrow Q^+$ (or $w:E\rightarrow Z^+$) is a non-negative length function, the length of these edges is either greater than $\ell$ or less than $\ell$. We need to splice a balanced subgraph $T$ from $G$, having the structure $\mathcal{A}$, so that each edge in the graph $T$ is spliced by a part of a piece (or some whole pieces)of a special material of length $\ell$, the objective is to minimize the number of necessary pieces of such a specific material to splice all edges needed in $T$. For this objective, we can obtain the following three main results:(1) we design an $\frac{3}{2}$-approximation algorithm and an asymptotic polynomial time approximation scheme($PTAS$) to solve the balanced spanning tree splicing problem; (2) we present an $\frac{3}{2}$-approximation algorithm to solve the minimal balanced spanning tree splicing problem with edge set restricted ; (2) we provide an asymptotic $\frac{3}{2}$-approximation algorithm to solve the constrained balanced trees plicing problem.
Authors: yongsong wen,
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15:30 - 15:30
Motion Simulation of Air Defense Missile based on Simulink

A system of air defense missiles intercepting enemy aircraft targets is modeled and simulated in Simulink platform of MATLAB, in order to reduce the workloads of designers in designing, analyzing, calculating and selecting the air defense missiles’ motion parameters. Based on the dynamic formula of air missiles strictly deduced in this study for intercepting targets, a three-degree free interception system simulation, combined with model simulation techniques, is established, and the proper missiles’ design parameters are studied according to the results of the simulation. First, this paper introduces the background and stresses the importance of air defense missiles in national defense, and then analyzes the problems with system modeling and analysis to be solved. After designing some sub-system simulation modules and integrating them into Simulink platform, this research sets up an interception simulation model. And finally, by executing the interception system simulation under the condition of different guidance ratio values, this research obtains corresponding simulation results and compares the influences of various guidance ratio values on the interception effects.
Authors: Pengcheng Li (Beijing Aerospace System Engineering Institute), Zhi Zhu (Department of Military Modeling and Simulation, College of System Engineering), Haidong Chen (China Academy of Launch Vehicle Technology), Shipeng Li (Beijing Aerospace System Engineering Institute),
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Day 3 30/08/2020
Room #1

## 9 AM - Session 7 09:00 - 10:45 ↓↑

09:00 - 09:00
On Pricing Decision of Monopoly Online Car-hailing Platform Considering Network Externality and Commission Rate

With the development of mobile internet，the online car-hailing services has been one of the alternative modes in urban transportation. The issues of online car-hailing services pricing decision as an new transportation management problems on generated. This paper analyzes the pricing and cooperation revenue sharing issues between platforms and group of driver by dynamic game theory and two-sided market theory. In order to reflect the characteristic of the practical situation of online car-hailing industry, the inter-group network externality and the commission rate of driver are considered in this model. The formula of the payment of user, the commission rate of driver, the registration fee of user, the scale of user and driver, the profit of platform at equilibrium state is obtained and the relationship between them and network externality are analyzed. The simulation results validates the correctness of our analytical results.
Authors: Xiao-Jun Yu,
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09:00 - 09:00
Ellipse Fitting Based On A Hybrid l1l2-Norm Algorithm

Introducing weight value, this paper proposes a new effiffifficient direct method noted the Hybrid l1l2-Norm Model for fifitting ellipse. The effiffifficient algorithm in the direct least square fifitting method to achieve outlier resistance, and develop a robust ellipse fifitting approach by using split Bregman iteration and shrink operator. According to experimental results, the proposed method not only works well with Gaussian Noise data but also with Laplacian Noise data and mixed noise. Experimental examples are presented to demonstrate the robustness of the proposed approach.
Authors: Linging Luo (School of Mathematics and Statistics, Guizhou University of Finance and Economics, Guizhou, 550025, China), Wenqing Yang (Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd.), Wei Ren (Guangzhou Power Supply Bureau of Guangdong Power Grid Co.), Xiaojun Yu (School of Mathematics and Statistics, Guizhou University of Finance and Economics, Guizhou, 550025, China),
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09:00 - 09:00
Exploring Users’ Temporal Characteristics of “Purchase and Comment” Behaviors based on Human Dynamics

This paper carried out an empirical study on the formation rules un-derlying online user comments. Using the human dynamics method, which is used for describing human behavior, this paper explored two typical consumer human behaviors related to “purchase-comment” behaviors within an electronic commerce environment. Using massive real data crawled by Python web crawl-er, this paper analyzes three types of temporal characteristics (time interval, burstiness index, and memory index) of post-purchase comments by users, ex-plores when consumers choose to disclose their shopping experiences on the In-ternet after purchase, and studies the formation rules of online user comments. The study also verified that the temporal characteristics of consumers’ “pur-chase-comment” behaviors in the e-commerce environment also conformed to power-law distribution principles, thus providing new empirical insights for the study of online human behavior dynamics.
Authors: Liangqiang Li (Sichuan Agricultural University), Bo Lv (Guizhou Normal University), Liang Wu (Guizhou Normal University), Hongwei Lin (Hubei University of Medicine),
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09:00 - 09:00
Research on Quantitative Models and Correlation of QoE Testing for Vehiclar Voice Cloud Services

Automobile manufacturers and communication equipment manufacturers have developed on-board voice cloud service related products, which can help drivers reduce their dependence on vehicle operation and improve driving safety. In the production and test process of vehicle voice cloud service related products, QoE related test system is proposed and used to provide strong objec-tive evaluation support for enterprise products and enhance core competitive-ness. In the related test of vehicle voice cloud service QoE, the research of quantitative model is an important part, especially the research and analysis of the correlation of quantitative indicators, which can effectively optimize and improve the test system and help product improvement. This paper studies the quantitative model and key index system construction of QoE test of vehicle voice cloud service, analyzes the correlation between key indexes (latency, recognition accuracy) and QoE results, and provides reference basis and re-search ideas for the model optimization and system improvement of vehicle voice cloud service QoE test.
Authors: Yuxin Li (Xuzhou University of Technology), Kailiang Zhang (Xuzhou University of Technology), Lei Chen (Xuzhou University of Technology), Yuan An (Xuzhou University of Technology), Ping Cui (Xuzhou University of Technology),
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09:00 - 09:00
An empirical Study on the Impact of Technology Innovation on New Urbanization： in case of Guangdong Province

Based on the data of new urbanization and technological innovation in Guangdong Province from 2006 to 2018, the regression model and typical correlation coefficient analysis method are used to study the impact of technological innovation level on new urbanization in Guangdong Province. The results show that the technological innovation level and the new urbanization level are fluctuating, and the technological innovation has a positive and significant impact on the new urbanization in Guangdong. When the technological innovation factor changes by 1%, the new urbanization rate changes by 0.919%. And technology innovation and population urbanization, economic urbanization and social urbanization related to a higher degree, but with infrastructure and resources environment urbanization slightly inadequate. Therefore, in the process of accelerating the construction of new urbanization in Guangdong Province, we need to change the development mode of "factor-driven" to "innovation-driven ".
Authors: ping hu (Guangdong University of Foreign Studies South China Business College), xie qun (Guangzhou College of Commerce), hu zhongping (Changde Municipal Party School of CPC),
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09:00 - 09:00
Analysis on the Current Situation of Network Media Literacy of the Post-90s University Students

At present, the post-90s undergraduates are the main group to use new media, and their network media literacy is highly concerned by academic circles. The paper analyzes the current situation of the undergraduates' network literacy from several universities in Guangzhou in three aspects including channel of network contact, media literacy awareness, and understanding and critical ability for information sources of the post-90s university students, and finds out that the post-90s university students have a certain judgement for the media resources, but they lack critical thinking and critical abilities for media resources from the multiple perspectives.
Authors: Wen Zhou (South China Business College of Guangdong University of Foreign Studies, Guangzhou), Xiannu Wei (Shaoyang University),
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09:00 - 09:00
A programmable routing system for  semi-physical simulation

The paper designs a programmable routing system, which can be used for semi-physical and network testing. The system adopts the low-cost multi-network card host as the router, and uses the operating system's own security policy to block the connection between the network card and the operating system, and prevents the operating system from automatically processing the data frames. Sharpcap is used to capture and send data frames to process network data frames. The transport protocol and routing algorithm are user-defined. During the transmission process, the platform records the changes of routing table and data frame, and comprehensively shows the transmission process of data frame to the user, so that the user can have a more comprehensive understanding of the principle of computer network, and better complete the test and simulation.
Authors: yuan an (xuzhou university of technology), Lei Chen (Xuzhou University of Technology), ping cui (xuzhou university of technology), Kailiang Zhang (Xuzhou University of Technology),
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## Session 8 11:00 - 12:30 ↓↑

11:00 - 11:00
A Many-objective Squirrel Hybrid Optimization Algorithm: MaSHOA

Many-objective optimization problems (MaOP) are important to the field of computing intelligence which leads to more requirement for the evolutionary many-objective Algorithms (EMaOA). Meanwhile, we consider that the evolution process also has some influence on the performance of results. And we present a many-objective squirrel hybrid optimization algorithm (MaSHOA) which takes an effective squirrel search algorithm (SSA) as the evolution framework and a reference-point-based many-objective evolutionary algorithm (NSGA-III) as the EMaOA framework. This paper applies the scalarizing evaluation to make sure the solution quality among the neighborhood and takes the reference point association achievement as the reference-point-based part. Taking iterations into account, we design a joint fitness function. For both the evolution and selection operations, a joint fitness function is applied to sort solutions to guide others and select them respectively. Besides, the distance penalization is introduced to prevent the local convergence. About useless reference points, this paper proposes an adjustable reference points strategy. The simulation experiment of the proposed algorithm is carried on different test problems with 3 to 15 objectives. Compared with other classic EMaOAs, the means, variances, box plots and parallel coordinate plots of the obtained results are utilized to analyze the convergence and diversity. And this proposed algorithm has good performance on solving MaOPs.
Authors: Zhuoran Liu (Northeastern University), Fanhao Zhang (Northeastern University), Xinyuan Wang (Northeastern University), Qidong Zhao (Northeastern University), Changsheng Zhang (Northeastern University), Bin Zhang (Northeastern University),
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11:00 - 11:00
A Simulation Environment for Autonomous Robot Swarms with Limited Communication Skills

We present a novel real-time simulation tool for modeling and analyzing a swarm of distributed autonomous mobile robots communicating over an unreliable and capacity restricted communication network. The robots are setup as ground vehicles and use C-PBP [8] as model predictive closed loop controller. This tool offers the ability to simulate rural as well as completely urban scenarios with static obstacles, dynamic obstacles with scripted movement, soil condition, noise floor, active jammers and static and dynamic obstacles for the links with adjustable damping. The goal of this simulation is the analysis of swarm behavior of robots for given missions such as terrain exploration, convoy escorting or creation of a mobile ad hoc network in disaster areas under realistic environmental conditions.
Authors: Alexander Puzicha (TU Dortmund), Peter Buchholz (TU Dortmund),
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11:00 - 11:00
Finding Good Mobile Sink Information Collection Paths with Quicker Search Time: A Single-Particle Multi-dimensional Search Algorithm-based Approach

Energy consumption is the first-class constraint for the battery-powered Internet of Things (IoT) devices and sensors. By moving around to gather data, a mobile sink (MS) can greatly save sensor energy for multi-hop communication. To unlock the potential of mobile sinks, we need to carefully plan the path a mobile sink moves within the network for collecting information without compromising its coverage and its battery life. This paper presents a new way to find the optimal information collection path for mobile sinks. We achieve this by formulating the optimization problem as a classical Traveling Salesman Problem with Neighborhoods (TSPN) and design a novel solver based on the particle multi-dimensional search algorithm to quickly locate a good path in the TSPN optimization space. As a significant departure from prior work which uses multiple particles to explore multiple potential solutions, our method uses only one particle for problem-solving. Doing so significantly reduces the complexity of the algorithm, allowing it to scale to a larger sensor network. To ensure the quality of the chosen solution, we have carefully designed the evolutionary process for problem-solving. We show that our approach finds a solution with similar quality as those given by a multi-particle-based search, but with signifi-cantly less time. Simulation results show that our approach can find a high-quality path compared to the state-of-the-arts algorithm in a large sensor network.
Authors: Pengyu Huang (School of Telecommunications Engineering, State Key Labs of ISN, Xidian University), Fuping Wu (School of Physics and Optoelectronic Engineering, Xidian University), Wei Wang (School of Information Science & Technology, Northwest University), Haiyan Liu (University of Leeds), Qin Liu (School of Telecommunications Engineering, State Key Labs of ISN, Xidian University),
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11:00 - 11:00
Algorithm for Double-Layer Structure Multi-Label Classification with Optimal Sequence Based on Attention Mechanism

Problem transformation considers label correlations by extending the attributes, but ignores the importance of each feature attribute for different classification targets, weakens the sensitivity of the classifier, and reduces the classification accuracy. Attention mechanism is a model that simulates the mechanism of human brain attention. It mainly emphasizes the influence of some crucial inputs on the output by calculating the attention probability distribution, which has a good optimization effect on the traditional model. Based on this, this paper proposes a two-layer chain structure multi-label classification (ATDCC-OS) algorithm, which incorporates the attention mechanism. This algorithm constructs a two-layer multi-label classification model in order to realize the correlation between labels through inter-layer and intra-layer interaction. At the same time, the attention mechanism is introduced to focus selectively on the sample features, identify more important information for the current task, and further improve the classification performance of the algorithm. Furthermore, an optimal sequence selection algorithm (OSS) is proposed, seeking to label the pecking order, solving the problem of reduced classification accuracy caused by randomly selecting the class label sequence to train the binary classifier by the chain classification model. Comparisons on seven benchmark data sets with related algorithms verify the effectiveness of ATDCC-OS.
Authors: Geqiao Liu (College of Engineering and Technology, Sichuan Radio and Television University, Chengdu, China；), Mingjie Tan (College of Engineering and Technology,Sichuan Radio and Television University, Chengdu, China；),
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11:00 - 11:00
Simulation analysis of the impact of the rural financial efficiency and external shocks on the rural economic fluctuations based on Dynamic Stochastic General Equilibrium model

This paper constructs a Dynamic Stochastic General Equilibrium model (DSGE) which includes external shocks such as technology shock, cost push shock and monetary policy shock. The static and dynamic parameters of DSGE model are estimated by using calibration method and Bayesian estimation respectively, and the financial efficiency of China's rural areas is measured. Using impulse response analysis and social welfare loss of rural residents, we studied the impact of external shocks on rural economy under the level of rural financial efficiency. The results showed that: the current rural financial efficiency is 0.64; in response to external shocks, when the rural financial efficiency is 0.85, it can most effectively iron the fluctuations of the external shocks on the rural economy and reduce the social welfare losses of rural residents. Therefore, China should continue to deepen the reform of the rural financial system, constantly improve the rural financial efficiency, and achieve the optimal rural financial efficiency.
Authors: Li Chenggang (13984858432), Jia Hongye (17798083001), Yang Bing (18633924122),
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## Session 9 13:00 - 14:45 ↓↑

13:00 - 13:00
Weights optimization method of differential evolution based on artificial bee colony algorithm

Differential evolution algorithm is a search and optimization strategy that simu-lates the process of biological evolution. In the initial stage of the algorithm, it is necessary to generate a series of deep neural networks with sufficient accuracy as the initial population of subsequent algorithms. In this article, an artificial bee colony search strategy is added to the cross-operation of the differential evolu-tion algorithm to optimize the weight value. The artificial bee colony algorithm search operator is introduced to guide the search of the population to avoid indi-viduals in the population from falling into a local optimal situation. The experi-ments in this article verify the validity of the method through the handwritten digit recognition data set. The final results show that in the process of obtaining the initial population ,using the differential evolution weight optimization meth-od of the artificial bee colony search strategy optimizes the process of the fitness calculation in the model. It significantly improves the accuracy of the first-generation population and speeds up the overall process of the algorithm.
Authors: Ying Wu (Shenyang Fire Science and Technology Research Institute of MEM), Zibo Qi (Shenyang Fire Science and Technology Research Institute of MEM), Ling Jiang (Shenyang Fire Science and Technology Research Institute of MEM), Zifeng Dai (Northeastern University), Chen Zhang (Northeastern University), Changsheng Zhang (Northeastern University), Jian Xu (Northeastern University),
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13:00 - 13:00
A Dynamic Acceleration Method for Remote Sensing Image Processing Based on CUDA

The incredible increase in the volume of remote sensing data has made the concept of Remote Sensing Big Data a reality with recent technological de-velopments. Remote sensing image processing is characterized with features of massive data processing and intensive computation, which makes the pro-cessing difficult and inefficient. To optimize the remote sensing image pro-cessing for GPU, compute unified device architecture (CUDA) is widely used to implement remote sensing algorithms. However, the usage of GPU in remote sensing image processing has been constrained by the complexity of its programming, and therefore how to fully take advantage of the parallel organization of GPU architecture is challenging. In this paper, a new dynam-ic adaptive acceleration (DAA) method is proposed to determine calculation parameters of GPU adaptively and process input images dynamically. By this method, we determine calculation parameters according to the hardware pa-rameters of GPU firstly. And secondly, input image pretreatment is per-formed based on the calculation parameters. Finally, the preprocessed imag-es are executed on GPU. The effectiveness and generality of proposed method in remote sensing algorithm with point operations were verified by experiments, and the experimental results indicated that the method can ob-tain better performance than traditional methods.
Authors: Xianyu Zuo (Henan University), Zhe Zhang (Henan University), Baojun Qiao (Henan University), Junfeng Tian (Henan University), Qiang Ge (Henan University),
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13:00 - 13:00
Research of Image Dehazing based on Image Gradient Distortion Prior

In view of the problem of image quality degradation caused by the scattering of outdoor atmospheric particles in dusty weather, this paper proposed a research of dehazing image based on gradient distribution prior. Firstly, the method is to obtain a prior model of the gradient distribution of images from a large number of high quality natural image data sets. Secondly, the gradient distribution of hazy image is changed to make the infinite approximation the learned prior model. Finally, the Poisson equation is used to solve the reconstructed image to obtain dehazing image. According to a large number of experimental data, it shows that this research can remove the haze of image effectively. Compared with the most advanced methods, the image processed by this algorithm not on-ly retains more details of the original image, but also improves the image defini-tion largely.
Authors: Chuangeng Tian (Xuzhou University of Technology), Jiamin Cheng (Xuzhou University of Technology), Lei Chen (Xuzhou University of Technology),
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13:00 - 13:00
Load-Balanced Delivery Strategy for Linear Wireless Sensor Networks

Linear Wireless Sensor Networks (LWSN) play an important role in bridge healthy monitoring, such as vibration, deformation, stress and so on. It is basi-cally based on the observation that energy balance and delivery rate directly de-termine the running time of the networks. So, we proposed an energy balance aggregate model. Specially, we first compute the energy consumption and data delivery of each node in the network according to LWSN network model. The calculation conditions of energy balancing and delivery rate are then obtained. Finally, we have tested the performance of the proposed model. Simulation ex-perimental results demonstrate that the proposed method can produce reliable performance, which is suitable for bridge healthy monitoring.
Authors: Xuecheng Liu (Xuzhou University of Technology), Chuangeng Tian, Lei Chen (Xuzhou University of Technology),
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13:00 - 13:00
Modeling & Simulation of Computation Offloading at LEO Satellite Constellation Network Edge

Similar to terrestrial networks where edge computing facilities have already been introduced to decrease the user request response delay and to reduce the backhaul bandwidth consumption, LEO satellite constellation network can also been benefited by adopting edge computing. The computation tasks generated by ground users can be offloaded to their access LEO satellites to enhance network QoS and user QoE. This paper focuses on modeling and simulating computation offloading at LEO satellite constellation network edge. A one-dimensional model for edge computing enabled LEO satellite constellation network is derived, and one that basis, an innovative Monte Carlo simulator is developed from scratch to evaluate system performance. As a case study, three different computation offloading schemes are elaborated and implemented on the simulator. Comparative evaluation experiments have been conducted and the results indicate that, in resource restricted scenarios, allowing computation offloading to the neighbors of the access satellites can considerably reduce the request blocking probability with only slightly increasing the average request response delay.
Authors: Junyu Lai (University of Electronic Science and Technology of China), Huidong Tan (University of Electronic Science and Technology of China), Meilin He (University of Electronic Science and Technology of China), Ying Qu (University of Electronic Science and Technology of China), Lei Zhong (University of Electronic Science and Technology of China),
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13:00 - 13:00
User experience quality analysis method based on frequency domain characteristics of physiological signal

Physiological signals can directly reflect the inner psychological state of human beings. In this paper, the frequency-domain characteristics of sEMG signal, a physiological signal of human body, are used to establish a correlation with users' psychological and emotional state, so as to represent the current real experience quality of users in the Internet of vehicles environment and achieve seamless man-machine connection. The data analysis shows that the muscle system is easy to enter the fatigue state when the user is in a state of great emotional fluctuation, while the muscle system is relatively relaxed when the user is in a relatively stable psychological and emotional state, so it is not easy to enter the fatigue state, and the user experience quality is relatively high. This study can be used as a reference data to change various technical parameters and judge the quality of user experience in the context of Internet of vehicles.
Authors: ke sun (xuzhou university of technology), yuan an (xuzhou university of technology), Kailiang Zhang (Xuzhou University of Technology), ping cui (xuzhou university of technology),
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## Session C 14:45 - 15:45 ↓↑

14:45 - 14:45
Simulation Study on the Development of Chinese Bank Industry Based on System Dynamics

There are many factors influencing the development of the bank industry, and scholars have paid much attention to the influence of these factors on the development of the bank industry. In order to better promoting the healthy and steady development of China's bank industry, studying the influence of the factors on the development of the bank industry, this paper uses Vensim PLE software to build a simulation model for the development of the bank industry. This paper simulates and analyzes the impact of the changes in money supply and supervision level on the profit level of the bank industry. The simulation results show that the profit level of the bank industry will increase when the money supply is reduced. Higher levels of regulation make banks less profitable. The simulation results also show that the change of money supply has no obvious effect on the nonperforming loan balance.
Authors: Cheng gang Li (Guizhou University of Finance and Economics), xin tong zuo (Guizhou University of Finance and Economics),
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14:45 - 14:45
Detection of Moving Infrared Small Target Based on Fusion of Multi-Gradient Filter and ViBe algorithm

Aiming at the problem that dim small targets are submerged to the background in infrared images, it is easy to generate ghosts and difficult to complete the extraction of weak and small moving targets. First, target areas are extracted and storage from every frame of video by using the ViBe algorithm, meanwhile local multi-gradient filter are used to detect prominent edge information, according to the detecting results of highlighted edge information, then The target areas extracted by using ViBe algorithm and the edge information by multi-gradient filter are fused to get more accurate results of detection for small targets. Finally, the fusion image are separated by setting suitable threshold. The experimental result shows that the proposed algorithm can quickly eliminate the ghosts in multiple frames and is effective for detecting small moving targets.
Authors: Guofeng Zhang (Xinjiang University), Askar Hamdulla (Xinjiang University),
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14:45 - 14:45
Handwritten Uyghur Character Recognition Using Convolutional Neural Networks

For alphabetical scripts, handwritten character recognition is essential to study word and sentence recognition. Handwritten Uyghur character recognition researches up-to-date have been based on traditional pattern recognition module that highly relies on handcrafted features and suffers restrictions to get good recognition result. This paper reports high recognition accuracy using deep learning techniques on 128 handwritten Uyghur characters forms. Preprocessed online handwritten character samples are normalized and converted to the centralized binary images and used as input to the network. Convolutional neural networks of 4, 5 and 8 convolutional layers on different image sizes are trained using dropout regularization. Preliminary experiments using 48*48 converted character images produced 94.65% average accuracy on test set of 10240 character samples.
Authors: Wujiahemaiti Simayi (Xinjiang University), Mayire Ibrayim (Xinjiang University of China), Askar Hamdulla (Xinjiang University),
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14:45 - 14:45

Since China launched the “The Belt and Road Initiative” (B&R) project in 2013, more than 70 countries have joined the project and signed a trade agreement with China. The rapid development of international trade between China and the countries along The Belt and Road Initiatives a great potential market, but at the macro-level, the development trend of the international economic and political situation is not ideal. The European Union and China have also broadened and deepened their relations under a complex architecture of now more than 60 political, economic, sector and people-to-people dialogue formats. The background of this paper comes from the status of trade and future development prospects.
Authors: Marja-Liisa Tenhunen (Shanghai University), Jun Chen (SILC Business school, Shanghai university), Shiyan Xu (SILC Business School, Shanghai university), Chenyang Zhao (SILC Business School, Shanghai university),
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14:45 - 14:45
Optical solitons and their numerical simulations of coupled nonlinear Schrodinger's equation in a cascaded system

This work focuses on the coupled nonlinear Schr\"{o}dinger's equation which appears in the cascaded three-level atomic system. By using the trial solution technique and the symbolic computation method, the exact bright-dark soliton, dark-bright soliton and singular soliton solutions are obtained. The propagation properties of the above solitons are simulated.
Authors: Dahe Feng,
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14:45 - 14:45
Moderating Effects of Agricultural Product Category Characteristics on Consumers' Online Shopping Intention

Based on the Technology Acceptance Model, this paper explores the relationship between consumers' online shopping perceived usefulness and online shopping intention, as well as the Tripartite for the five agricultural product characteristics including price perception, purchase frequency, familiarity, thinking time and involvement. Experiment with two scenarios of high and low online shopping perceived usefulness is designed to test the hypothesis. 960 sample subjects’ data are collected. The structural equation model is used to empirically test the variable regulation effect involving three groups of comparisons. The study finds that consumers' online shopping perceived usefulness has a positive effect on online shopping intention. Five agricultural product characteristics play a moderating effect in regulating this relationship. The Tripartite of agricultural product characteristics has statistically significant differences as a moderate variable.
Authors: Jiazhen Huo (School of Economics and Management, Tongji University), Xu Ying (School of Economics and Management, Tongji University), Jun Chen (SILC Business school, Shanghai university), Shiyan Xu (SILC Business school, Shanghai university), Chenyang Zhao (SILC Business school, Shanghai university),
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14:45 - 14:45
Cross boder Ecommerce strategy on the basis of products differentiation

With the development of international trade and information technology, cross-border e-commerce is booming globally. It involves the movement of goods between domestic and foreign markets, domestic warehouses and consumers. However, as cross-border e-commerce products often need long-distance transport, the commodities suitable for sale through cross-border e-commerce are limited. Therefore, merchants are increasingly facing fiercer competition. In this paper, a game model was built to analyze how differentiation of product affects the competitive strategy making in the cross-border dual-channel supply chain. The optimal pricing and service level under centralized and decentralized decision were formulated. The relationship between multiple variables and service levels and profits were interpreted in combination with spatial geography. The equilibrium solution revealed that a centralized supply chain can generate more profits. And merchants should increase the degree of product differentiation and strive to improve service levels.
Authors: Jun Chen (SILC Business school, Shanghai university), Shiyan Xu (SILC Business school, Shanghai university), Chenyang Zhao (SILC Business school, Shanghai university), Hui Chen (Hankel Company Ltd),
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14:45 - 14:45
Empirical Analysis of Supply Chain Finance Innovation Model Based on Blockchain Technology

The purpose of this article is to develop a conceptual framework for block-chain-driven supply chain financial solutions. This framework is designed to facilitate coordination of relationships between buyer and seller and elimi-nate inefficiencies in the implementation of discrete supply chain financial instruments such as reverse factoring and dynamic discounting. In addition, we also introduced the value drivers of blockchain technology to explain its unique characteristics in the application of supply chain finance. Although blockchain technology is considered one of the most disruptive promoters of financial technology, it has received little attention in the emerging supply chain finance. Therefore, the results of the research could contribute to the future development of supply chain financial solutions based on the latest technological innovations.
Authors: Jun Chen (SILC Business school, Shanghai university), Maoguo Wu (SILC Business school, Shanghai university), Shiyan Xu (SILC Business School, Shanghai university), Chenyang Zhao (SILC Business school, Shanghai university),
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14:45 - 14:45
An Action of the Picard Group on Generalized Euler Classes

In this paper, we construct an action of Picard group on the generalized Euler classes defined in Chow-Witt groups CH^d(X, L ) with twisted line bundle L, which is the generalization of the Euler classes defined in Chow groups. This result gives a new method to compare the generalized Euler classes with different twisted bundle.
Authors: bingjun li (Guizhou University of Finance and Economics Guizhou), Jianjun Jiao (Guizhou University of Finance and Economics), Dan Yang (Guizhou University of Finance and Economics),
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14:45 - 14:45
Multi-core parallel BRSMF method for 2D3T radiation diffusion equations

In this paper, we firstly present a block RSMF method (in brief, BRSMF) using block diagonalonal structure of three temperature matrix, and then we propose a multi-core parallelization of BRSMF (in brief, MBRSMF) method based on the current mainstream multicore architecture of parallel computer. MBRSMF method parallelizes the nested dissection ordering, symbolic decomposition and numerical decomposition of BRSMF method, which aim is to effectively solve three temperature linear systems on the multi-core computer. The multi-core parallelization of symbolic decomposition and numerical decomposition are based on the binary elimination tree. Theoretical analysis proves MBRSMF method has better load balancing capability. Numerical experiments show that the MBRSMF method is effective.
Authors: xianyu zuo (Henan Key Laboratory of Big Data Analysis and Processing),
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## Session D 15:45 - 16:45 ↓↑

15:45 - 15:45
Neural network algorithm of multi-team game and its application in parallel-link communication networks flow control

This paper investigates the neural network method to solve the noninferior Nash equilibrium of multi-team game. Combined with variational inequalities theory, Nash equilibrium theory, and projection equation, multi-team game with smooth payoff functions are transformed into a projection neural network. On the basis of Lyapunov stable theory, some stability results are given. As an application, a flow control model of parallel-link communication networks based on multi-team game and neural network algorithm is elaborated. In order to illustrate the effectiveness of the method established in this paper, a simulation result for two teams, two communication links, and two users in each team parallel-link communication network is also given.
Authors: Zixin Liu (School of Mathematics and Statistics, Guizhou University of Finance and Economics), Huawei Yang (School of Big Data Application and Economics, Guizhou University of Finance and Economics), Lianglin Xiong (School of Mathematics and Computer Science, Yunnan Minzu University),
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15:45 - 15:45
Empirical Analysis of Dynamic Relationship between Green Economy and Green Finance by VAR Model

With the development of China’s economy, some problems such as ecological imbalance, serious pollution of the environment, low utilization of natural resources and so on, are followed. The government pays more and more attention on green economy. Green finance can promote the development of green economy, and green economy also plays a pulling role in green finance. Based on the annual data of China's green economy and green finance from 2004 to 2017, this paper constructs a VAR model and empirically analyses the dynamic relationship between green economy and green finance. The empirical results show that increasing investment in green finance has a positive impact on the development of green economy, that is, green economy needs the support of green finance; at the same time, green economy also has a certain degree of impact on green finance, which has a restraining effect in the early stage, but with the growth of time, green economy also important to green finance.
Authors: Xiaolin Li (Sichuan Agricultural University), You Li (Sichuan Agricultural University), Jiali Cai (Sichuan Agricultural University), Yunzhong Cao (Sichuan Agricultural University), Liangqiang Li (Sichuan Agricultural University),
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15:45 - 15:45
Understanding the psychological mechanisms of impulse buying in live streaming: A shopping motivations perspective

Live streaming is an effective tool to increase products sales, which has become a new social commerce. However, few studies have explored the psychological mechanisms of individuals’ impulse buying, although live streaming has transformed behaviors of customers. In this study, ground on S-O-R paradigm and motivation theory, we developed a research model to explore how customers develop shopping motivations in live streaming shopping. The results from 318 actual customers in China showed that three situational factors: visibility, parasocial interaction, and social presence of others differently affect form utilitarian and hedonic motivation of consumers. The motivations of both utilitarian and hedonic drive customers’ impulse buying decisions. Specifically, utilitarian motivation plays a less significant role in driving customers’ purchase intention than hedonic motivation. In conclusion, these findings increase one’s comprehension of customers’ psychological mechanisms of impulse buying development in live streaming context and spread the range of motivation theory. The findings also supply perceptions to both sellers and platforms in developing strategies.
Authors: Xiaolin Li (Sichuan Agricultural University), You Li (Sichuan Agricultural University), Jiali Cai (Sichuan Agricultural University), Yunzhong Cao (Sichuan Agricultural University), Liangqiang Li (Sichuan Agricultural University),
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15:45 - 15:45
Robust Stability of Uncertain Replicator Population Dynamics with Time Delay

In this paper, we generalize the replicator dynamics with time delay of Tao\cite{Tao} to the time-delayed uncertain population replicator dynamics. Considering the uncertainties of payoff functions, we propose two perturbed models of the traditional time-delayed replicator dynamics. The stability of the evolutionary stable strategy (ESS) is then studied. We prove the ESS of traditional replicator dynamics is also asymptotically stable under some constrains on the time delay in our first model and the result of Tao\cite{Tao} is a special case of our first model. In our second model, we show the stability of the ESS is irrelevant to the stochastic parameter. Some numerical examples are illustrated.
Authors: Chongyi Zhong (School of Mathematics and Big data, Guizhou Education University), Nengfa Wang (School of Mathematics and Statistics, Guizhou University of Finance and Economics), Hui Yang (School of Mathematics and Statistics, Guizhou University), Wei Zhao (School of Mathematics and Statistics, Guizhou University),
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15:45 - 15:45
Dynamics of a single population model with non-transient/transient impulsive harvesting and birth pulse in a polluted environment

In this paper, we construct a single population model with non-transient /transient impulsive harvesting and birth pulse in a polluted environment. By theories of impulsive differential equations, we obtain the sufficient conditions for system population permanence. The results indicate that the transient impulsive harvesting amount and the non-transient impulsive harvesting interval play important roles for system permanence. Our results provide reliable tactic basis for the practical biological resource management.
Authors: Yumei Zhou (Guizhou University of Finance and Economics), Jianjun Jiao (Guizhou University of Finance and Economics),
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15:45 - 15:45
Dynamics of a predator and prey-hibernation model with genic mutation and impulsive effects

In this work, we consider a predator and prey-hibernation model with genic mutation and impulsive effects. The predator-extinction boundary periodic solution are proved to be globally asymptotically stable. The system is also proved to be permanent. Finally, numerical simulations are inserted to illustrate our results. Our results present that the genic mutational rate and prey population hibernation play important roles on the permanence of the investigated system. Our results also provide reliable tactic basis for the practical biological resource management.
Authors: Shaohong Cai (Guizhou University of Finance and Economics), Jianjun Jiao (Guizhou University of Finance and Economics),
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15:45 - 15:45
Dynamics of a population-hibernation model with genic mutation and impulsive effects in a polluted environment

In this work, we consider a single population-hibernation model with genic mutation, birth pulse and impulsive input toxin in a polluted environment. By the theories of discrete dynamical system and the methods of mathematical analysis, the population-extinction periodic solution $(0,0,c_{o}(t),c_{e}(t))$ of system $(2.1)$ are proved to be globally asymptotically stable. System $(2.1)$ are proved to be permanent. Our results indicate that the genic mutational rate and the amount of the impulsive inputting toxin play important roles on the permanence of system $(2.1)$. Our results also provide reliable tactic basis for the practical biological resource management.
Authors: Jianjun Jiao (Guizhou University of Finance and Economics),
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15:45 - 15:45
Dynamics of a chemostat-type model with impulsive effects in polluted karst environments

In this paper, we consider a chemostat-type model with impulsive effects in polluted karst environments. Using methods of mathematical analysis, we obtain that a microorganism-extinction periodic solution is globally asymptotically stable. The permanent condition of the investigated system is also analyzed by the theory on impulsive differential equation. The numerical analyses are employed to illustrate our results. Our results show that the control measures are effective and reliable.
Authors: Jianjun Jiao (Guizhou University of Finance and Economics),
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15:45 - 15:45
Exponential stability of a delayed general BAM neural networks via non-reduced order approach

In this paper, we study a class of inertial BAM neural networks with delays. Applying the non-reduced approach and Lyapunov functional methods, sufficient conditions ensuring the exponential stability of the considered network model are established, the obtained results are essentially new and complement previously known results. Moreover, we present a numerical example to support the theoretical results.
Authors: Bingnan Tang (Jiangsu University of Technology), Bingjun Li (Guizhou University of Finance and Economics), Jianjun Jiao (Guizhou University of Finance and Economics), Fengjun Di (Anhui University of Science and Technology),
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15:45 - 15:45
An Edge Server Placement Method with Cyber-Physical-Social Systems in 5G

Recently, cyber-physical-social systems (CPSS), as an advanced information system, have been introduced to promote the development of the smart society. It makes the control of machines in all walks of life more intelligent through efficient, convenient and stable way. Besides, with the development of edge computing, the task requests emitted by users in CPSS are tent to be transmitted edge servers for immediate processing. Nevertheless, some problems, i.e., high latency and low utilization, exists in current network placement. It leads to the problem that users in the CPSS are unable to enjoy instant and efficient processing. In view of these problems, this paper designs an edge server placement method (ESPM) to alleviate this situation. To be specific, a system model designed according to this scenario is presented firstly. Then, the multi-bjective evolutionary algorithm, i.e., improving the strength pareto evolutionary algorithm (SPEA2), is applied in this paper to optimize the access delay and load balance variance with the propose of enhancing the service experience of users. Besides, the normalization methods, i.e., technique for order preference by similarity to an ideal solution (TOPSIS) and multi-criteria decision-making (MCDM) are selected to produce the standard data and optimal strategy. Finally, the experimental results show the effectiveness of ESPM.
Authors: Xing Zhang (School of Computer and Software, Nanjing University of Information Science and Technology), Jielin Jiang (School of Computer and Software, Nanjing University of Information Science and Technology), Lianyong Qi (School of Information Science and Engineering, Qufu Normal University), Xiaolong Xu (School of Computer and Software, Nanjing University of Information Science and Technology),
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15:45 - 15:45
Dynamical Analysis of a Predator-prey Economic Model with Impulsive Control Strategy

In this work, a predator-prey economic model with impulsive stocking juvenile predator and impulsive harvesting adult predator is investigated. By the stroboscopic map of the discrete dynamical system, the prey-extinction periodic solution of the investigated system is proved to be globally asymptotically stable. By the theory of impulsive differential equation, the investigated system is also proved to be permanent. Finally, the numerical analysis is inserted to illustrate the results. Our conclusions provide reliable tactical basis for the practical biological economic management.
Authors: Airen Zhou (Guizhou University of Finance and Economics),
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15:45 - 15:45
Bayesian analysis for multivariate skew-normal simplex mixed-effects models with heterogeneous dispersion

Continuous proportional data frequently appears in many areas of research, where response are confined within in the open interval (0,1). Simplex mixed-effects model is a powerful tool for modeling longitudinal continuous proportional data; however, the normality assumption of random effects in classic simplex mixed-effects model is likely violated in many practical applications. In this paper, we relax the normality assumption of random effects by specifying the random-effect distribution with the multivariate skew-normal distribution in mixed-effect model and simultaneously model the dispersion parameter (heterogeneity) in mixed-effect model. A hybrid algorithm combining the block Gibbs sampler and the Metropolis-Hastings algorithm is presented for producing the joint Bayesian estimates of unknown parameters and random effects. The Deviance Information Criterion (DIC) for model comparison is employed to select better model. Several simulation studies and a real example are used to illustrate the proposed methodologies. The data example show that our proposed new approach performs better than the classic approach.
Authors: Xingde Duan (Guizhou University of Finance and Economics), Shi Zhang (Guizhou University of Finance and Economics), Wenzhuan Zhang (Guizhou Univeristy of Finance and Economics), Xinli Miao (Chuxiong Normal University),
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15:45 - 15:45
Research on the Impact of the US Exit from WTO and China's Strategic Choice—Analysis Based on GTAP Simulation

In this paper, the GTAP model is used to simulate the impact of the withdrawal of U.S. from the WTO on China and even the global economy.It is found that the withdrawal of the United States from WTO has both positive and negative effects on China's economy, and these effects expand with the rise of tariff level between the United States and WTO members. The positive influence comes from the fact that after the United States imposes tariffs on other WTO members, it will worsen the terms of trade between the United States and other WTO members, reduce import and export, and bring favorable effects to China. The negative effects are mainly due to the escalating trade war between China and the United States. The withdrawal of the United States from the WTO and the imposition of tariffs on China will lead to the deterioration of trade between China and the United States, which is not conducive to the export of Chinese products to the United States. Therefore, our country should do well in two aspects, the first is the response to the United States to “stay”. We should actively participate in the reform of the WTO and actively promote trade liberalization. The second is the response to the United States to"leave". It is necessary to strengthen the coordination with other major economies, actively promote the “Belt and Road” strategy, participate in and promote the construction of regional cooperative organizations, and ensure that WTO can continue to work effectively without U.S.
Authors: Zheng Kou (Yancheng Teachers University), Qun Gao (Yancheng Teachers University),
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