bluuebunny/crossref_metadata_2025_split huggingface dataset:
Manipulations of Equivalent Preference in Parallel Allocation Mechanism
Authors: Huang Wei , Cai Dong , Huang Wen , Lu Yuge , Tang Qian , Huang Chong 
Published: September 2020

Abstract
The parallel distribution is a non-centralized mechanism for distributing indivisible items to agents, which can take into account computing efficiency, economic benefits and social equality. However, as most decentralized allocation mechanism, the parallel protocol is not strategy-proof. In this paper, supposed the manipulator has additive preferences with possible indifferences between single objects, we study the most basic manipulation problem under the parallel allocation mechanism. For any given set of items, we proved that the agent1 can determine whether all objects in the set can be guaranteed in polynomial time. In addition, we given an algorithm for finding pessimism and proved the correctness, completeness and time complexity of polynomial.
Intelligent Passenger-Flow-Control Scheme at Subway Stations in Smart City
Authors: Zhang Yuan , Li Congduan , Zhang Jinyang , Zhang Yiqian 
Published: September 2020

Abstract
With the rapid development of urbanization, more and more cities have built the subway systems. However, the super cities like Beijing, Shanghai and Guangzhou, have experienced problems such as overloading and insufficient capacity, especially during peak hours, due to the tremendous increase of passengers. A scientific and efficient optimization scheme is important to alleviate the passenger flow congestion problem and improve the transportation efficiency. This paper investigates the passenger-flow-control problem, aiming to shorten the average waiting time for passengers. An intelligent flow-control scheme is proposed to optimally alleviate the congestion problem in the subway system. Experiments show that the proposed flow-control scheme works well in alleviating the congestion and passengers’ waiting time at subway stations.
Interface Design Technology and Verification of Intelligent Manufacturing Oriented CNC System
Authors: Hui Shuangshuang , Yang Zhe 
Published: September 2020

Abstract
Objective With the proposal of German Industry 4.0, intelligent manufacturing has become the main direction of manufacturing technology development. In recent years, CNC technology industry for intelligent manufacturing has developed rapidly in China, and it has been widely used in various fields of manufacturing industry. Among them, the design of man-machine interface for system appearance is closely related to the operation mechanism of internal functions with high specialization and complexity, which has attracted more and more attention from the industry and designers. Therefore, the design method and key points of the human-machine interface of NC system will be discussed for intelligent manufacturing, and the technical verification will be made. Method The interface design requirements of intelligent manufacturing oriented CNC system were systematically analyzed, and the corresponding design techniques and key points were given. The specific design scheme and verification of Huazhong 9 interface design of Huazhong CNC were discussed based on a specific design case. Conclusion It is hoped that the design of man-machine interaction interface of intelligent manufacturing CNC system can be optimized and improved, and that a little contribution can be made to the CNC technology industry in China.
Computing the Subgame Perfect Nash Equilibriums in Parallel Allocation Indivisible Items
Authors: Huang Wei , Cai Dong , Lu Yuge , Huang Wen , Tang Qian , Li Youqiang 
Published: September 2020

Abstract
Multi-Agent resource allocation has also become a research hotspot in the field of artificial intelligence in recent years. A lot of related work aims to design a procedural resource allocation system with execution efficiency. This paper Studied a parallel allocation method for allocating indivisible items between agents in which every agent asks for an object among those that re-main in every round, and every reported item will be allocated randomly to an agent reporting it. In order to depicts the entire distribution process, the authors propose a method of constructing a game tree of parallel allocation. Study the corresponding relationship between the total number of branches of the game tree and items. In the last part, prof the parallel allocation mechanism is dynamic game and show that the subgame perfect Nash equilibrium (SPNE) can be found by backward introduction the game trees. Provides a method to compute the unique subgame perfect Nash equilibrium in linear time.
A Multi-hop Routing Mechanism Based on Local Competitive and Weighted Dijkstra Algorithm for Wireless Sensor Networks
Authors: Liu Qingwei , Liu Mandan 
Published: September 2020

Abstract
Extending the lifetime of the networks with limited energy has always been an important issue in the research of wireless sensor networks. Many researchers have contributed lots of routing techniques to improve energy efficiency and extend lifetime of the networks. In this paper, we proposed a Multi-hop Routing mechanism Based on local Competitive and Dijkstra algorithm (MRBCD). In MRBCD, CHs are elected by local competitive and CHs send data to the base station by their shortest energy cost path. By running local competitive mechanism, CHs in the network can be evenly distributed, which will balance energy consumption between sensor nodes. The inter-cluster routing mechanism can minimize the energy consumption in the inter-cluster communications. By combining the two mechanisms, MRBCD algorithm can balance energy consumption and improve energy efficiency, which will extend the lifetime of wireless sensor networks. Simulation results show that MRBCD algorithm extended the lifetime of the networks than LEACH and Multi-LEACH.
Performance Analysis of CSMA with Guard Channels in Heterogeneous Wireless Network
Authors: Jiang Jingyuan , Zhu Dongbi 
Published: September 2020

Abstract
We propose a CSMA scheme with guard channels in heterogeneous wireless network. In this system, there are two different networks B and A. Original users of A network (called network A users) can use the wireless resources of network A and B. Original users of B network (called network B users) can only use the wireless resources of network B. There are Ng
guard channels in network B, in order to guarantee the service quality of B network users. We model the system by three dimensional continuous time Markov chain and solve the steady state probability. We also obtain the system performance measures such as the total throughput, the loss probability of network A and network B users. Numerical results show that number of guard channels and the arrival rate of different network users give an important impact on the system performance, and the performance of our proposed CSMA scheme with guard channels is better than that of without guard channels.
Study on the Integrative Practice of University Teaching Space and Information Platform——Taking Xi’an Eurasia University as an Example
Authors: He Minjuan , Wu Lijuan , Sun Yu , Xu Yang 
Published: September 2020

Abstract
With the advancement of teaching reform in colleges and universities, the application of information technology in the teaching design and teaching process has become increasingly widespread. In addition to the applications of various software platforms and resources in the teaching process, more and more hardware-based smart classrooms and smart space are also being applied in the new round of teaching space transformation. What this thesis mainly studies is how to realize the integration of the universities’ teaching space and the teaching information platform, so as to further promote the reform and development of teaching mode. Based on the practical case of Xi’an Eurasia University, the study finds that in the process of teaching space transformation, informatization has enabled the connection between physical space and system platform, improving the efficiency and learning experience.
Evaluating Aspects of WeChat Use for Information Sharing During a Campus Attack Event Using Agent-Based Simulation
Authors: Beattie Steven , Xi Jing Yang (Sunny) , Chan Wai Kin (Victor) 
Published: September 2020

Abstract
Information sharing during emergency events often takes place through popular social messaging apps. An emergency response area of increasing concern in recent times is that of mass attacks on school campuses yet work studying information sharing systems in these situations is scarce. In this exploratory work, we used data from various sources to construct an agent-based simulation of a hypothetical knife attack on a university campus in southern China. We model the information sharing system after WeChat and evaluate the impact of group and individual messages on attack response and outcome. Evaluation metrics such as how students become alerted to the attack, the maintenance of accurate information, and casualty levels, are tracked. Results suggest that group messages may be most helpful despite being perceived as less trustworthy, and that the presence and structure of information sharing systems has a significant effect on response to campus attack events. Future work in the area is suggested.
DOA Estimation of Near-Field Broadband Signals Using Uniform Circular Arrays
Authors: Meng Zijian , Chen Haihua 
Published: September 2020

Abstract
This paper proposes a new approach of obtaining the direction-of-arrival (DOA) of near-field broadband signals using uniform circular array (UCA). Since the broadband signal source is located in the near field of the array, the signal received by the UCA can be modeled as a spherical wave. Take discrete Fourier Transform (DFT) of the received signal, we can get the frequency response of the received data. The frequency bins are then transformed to phase-mode signals by taking inverse discrete Fourier Transform (IDFT) of the signal in the spatial domain, which is used to estimate the DOAs of the received signals using multiple signal Classificaton (MUSIC). The covariance matrix of the received signal in phase-mode can be obtained by taking the average of the frequency bins. Furthermore, the proposed method has a characteristic of electronic steerability. Simulation results prove that the proposed near-field broadband DOA estimation algorithm not only has a better performance over the traditional methods, but also reduces the computational complexity effectively.
Research on Jamming to RF Screening Radar Based on Signal Reconstruction
Authors: Zhu Yuanjiang 
Published: September 2020

Abstract
Aiming at the problem that the jamming effect to RF screening radar by active jammer is not satisfactory, this paper provides one jamming method based on signal reconstruction. That jamming method conducts signal reconstruction based on estimation to radar signal parameters, which can achieve effective jamming to RF screening radar. The method at first, establishes jamming theory model based on signal reconstruction, and conducts simulation research accordingly. This paper makes simulation to that method. The results indicate that the relative intensity of main peak after pulse compression decreases with increase of frequency deviation or relative FM slope deviation, the decrease distribution caused by positive/negative deviation is symmetric, if frequency or FM slope of reconstructed jamming signal is closer to radar signal, the gain is higher after pulse compression. So overall consideration should be conducted during jamming design to select proper frequency deviation and FM slope according to jamming power. The method provided in this paper has important reference value for engineering research.
Cannon: A Pocket Laboratory for the Experiment of Short-Range Wireless Communication Course
Authors: Yang Kai , Li Jiayan 
Published: September 2020

Abstract
The widespread use of short-range wireless communication technology in many areas requires students who major in electronic engineering to have a basic understanding of the technology. Therefore, there is a necessity to strengthen experimental teaching in short-range wireless communication course. This paper presents a pocket laboratory named Cannon for the above course, which will be taught at the second or third semester of the department of electronic engineering in Changzhou Institute of Information Technology. Cannon is used to introduce to students the basic application implementation methods of Bluetooth Low Energy (BLE) communication practically. Cannon not only contains a complete Bluetooth intelligent hardware system, but also has its own JUMA SDK, a BLE application development framework developed by JUMA Technology. The feedback from students shows that Cannon can make their learning process faster and encourage them to acquire the skills necessary to accomplish the BLE application.
Dilated Denoising U-Net Network Improving the Adversarial Robustness
Authors: Zhang Xianshan , Jia Fan 
Published: September 2020

Abstract
The adversarial attack generates adversarial samples by adding subtle perturbations to the image. Such perturbations are usually very small and undetectable, but the neural network will give completely different results from the real sample. Adversarial example completely fools the neural network. Therefore, it is very important to develop effective defending model. Convolutional neural networks have successfully achieved adversarial robustness by removing noise in adversarial samples. However, the convolutional neural network involves multiple layers, and the denoising model contains a large number of parameters. This paper proposes a dilated convolutional denoising U-Net network to remove adversarial sample noise. Compared with the previously proposed denoising U-Net, our model has fewer layers. Dilated convolution is used in the convolutional layer to expand the receptive field. Use zero padding to ensure that the output dimensions are consistent with the input dimensions We conducted experiments on the ImageNet dataset. The experiments show that the extended of the receptive field can enhance the ability of the U-Net network to capture detailed image information, enhance denoising performance, and effectively improve the robustness at a lower computing cost.
Prototype of Data Link Based on Random Modulation Hopping and Automatic Modulation Recognition
Authors: Wang Yiwen , Liu Chunhui 
Published: September 2020

Abstract
A model of data link system based on modulation hopping and Automatic Modulation Recognition (AMR) is proposed, and the prototype of the pro-posed system is developed with GNU radio platform and the universal software radio peripheral (USRP). At the transmitting end of the prototype, the random sequence is generated to control modulation hopping pattern. At the receiver part, an AMR Network module recognizes the modulation mode and sends the information to the demodulation module to obtain the data flow. In the experiment, the speed of modulation recognition and the tracking ability of the modulation hopping under typical working environments are verified and analysed. The experimental results and the analysis of the corresponding parameters verify the rationality and availability of the system design.
Research on Transmission Performance of Double Leakage Cable Based on LTE-M System under Tunnel Simulation Environment
Authors: Liu Bo 
Published: September 2020

Abstract
With the improvement and maturity of LTE technology, the vehicle-ground wireless communication system based on it has become a new technical direction of rail-vehicle-ground communication in recent years. Based on an LTE-M vehicle-to-ground wireless communication system covered by double leaky cables, load simulation service tests were carried out to test the transmission performance of leakage coaxial cables. This study found out that when two leakage cables are HV: one is horizontally polarized and another vertically polarized, the average transmission rate of the vehicle-ground communication system of the same polarization mode increased by about 50%. At the same time, there was no significant decrease with the system transmission rate when the space between them reduced from 1 m to 0.3 m. Thus, an optimized leakage cable deployment scheme was obtained. When the horizontally polarized and vertically polarized leakage cable was used and the space between the two leakage cables was 0.3 m, the optimum transmission rate has been achieved.
LRERNet: Low Resolution Expression Recognition Network
Authors: Ma Yipeng , Tong Feifei , Wang Yuehai 
Published: September 2020

Abstract
Facial expression recognition (FER) is a meaningful but challenging research direction. An important reason is that the image resolution used for FER is usually low. At present, there is no specially designed model for the challenge of low resolution FER. We propose a low resolution expression recognition network with front and back end structure using specially designed dilated convolution groups. In addition, for the need of pension agency, we establish a dataset for studying FER of the old in Asian countries and we named it AOPFE. We evaluate our method on three standard datasets (RAF, SFEW and CK+) and AOPFE. In our experiments, the method achieved good results in these datasets especially on RAF dataset.
A Dynamic Channel Selection Algorithm of Data Forwarding in Wireless Mesh Networks
Authors: Yang Jianjun , Shen Ju , Guo Ping 
Published: September 2020

Abstract
Wireless Mesh Networks (WMNs) is an emerging technology in networking, in which the devices (nodes) are configured with multi-radios, making the overall capacity improved significantly. Nodes avoid interference with each other by tuning to different channels of the spectrum space. When a node intends to communicate to other nodes, especially a node far away from it with multiple hops, it is critical to find the channel with largest bandwidth to forward the packet. A dynamic channel selection algorithm is presented in this article, by which each node is able to find its next hop based on the criteria of possible largest channel bandwidth to carry out the forwarding. The novel idea of our approach is that only three past numerical data are kept by each node, and then it is able to calculate the potential bandwidth capacity and continue the most efficient forwarding. Simulations experiments were conducted and the results demonstrated that our mechanism outperforms peer approaches in terms of bandwidth capabilities and delay in Wireless Mesh Networks.
A Deep Convolutional Learning Method for Blind Recognition of Channel Codes
Authors: Tian Feng , Wang Jiao , Li Jianqing 
Published: September 2020

Abstract
Blind identification of channel codes is a significant part in the field of non-cooperative signal processing. It plays a significant role in intelligent communication, information interception, information confrontation and so on. To solve issues of high dependence of manual extraction of expert features, low robustness, difficulty of deployment from traditional methods for blind recognition of channel codes, this paper presents a novel way for blind recognition of channel codes by integrating deep learning technology. For the extraction of features from signals, deep convolutional neural network containing 4 convolutional layers is designed. For model training, database of convolutional codes is generated. Experimental results show that this method can achieve 98%+ recognition accuracy with SNR not lower than 4 dB, which proves the effectiveness of the method.
A Power-Efficient and Secure Communication Scheme in Satellite Communication
Authors: Zhao Shengli , Lan Xianliang , Yu Zihan 
Published: September 2020

Abstract
Resource is very limited in satellite communications, thus issues on security and power-efficiency in satellite communications have aroused extensive attention in recent years. In this paper, we have proposed a transmission scheme in satellite communication systems, which is secure and power-efficient. The binary bit sequence is encrypted prior to the modulation step, thus achieving security. The security analysis is based upon the Wyner wiretap model. In the wiretap model, the transmitter attempts to send messages to the legitimate receiver, meanwhile the eavesdropper is passively wiretapping. The legitimate receiver is assumed to have a good knowledge of the secret keys, so he can recover the original signal. However, the eavesdropper experiences severe interference and cannot mitigate it. The secrecy performance is measured by the secrecy rate. The secrecy rate is the rate difference between the legitimate communication and the illegal communication. Security of the proposed scheme is demonstrated by the mathematical analysis and Monte-Carlo simulations. In addition, the key space and the time needed to crack the secret keys are also calculated. The analysis results illustrate that the proposed scheme can provide a substantial security enhancement to the satellite communication system, meanwhile achieves power-efficiency.
Remote Sensing Scene Classification Based on Improved GhostNet
Authors: Wei Biyun , Shen Xiaole , Yuan Yule 
Published: September 2020

Abstract
Nowadays, the design of convolutional neural network (CNN) models is getting deeper and wider. When traditional CNN is used to process limited data of remote sensing images, it will lead to overfitting. We will use lightweight and efficient models to classify remote sensing images. In order to improve the classification accuracy and reduce the intermediate parameters, we improved GhostNet and proposed a smaller CNN named Improved GhostNet. Meanwhile, we use image enhancement methods to enlarge the datasets and dropout, it will reduce the amount of parameters. We experimented on three datasets, such as AID, UC Merced, NWPU-RESISC45. Then, we used MobileNetV3-Small and GhostNet to compare with our CNN model. The classification accuracy of improved GhostNet achieves more than 91%, and the accuracy on the AID is improved by 2.05% compared to the original GhostNet. These results demonstrate the effectiveness and efficiency of improved GhostNet.
Research on Population Distribution Model Based on Communication Base Station—Take Shanxi Province as An Example
Authors: Yang Bin 
Published: September 2020

Abstract
The goal of earthquake prevention and disaster reduction is to scientifically manage the risk of earthquake disasters in order to reduce the impact of earthquake disasters on social economy. The main goal is to reduce casualties. Accurate information of population distribution is an important prerequisite to reduce the impact of natural disasters on population. At present, the population data in the provincial earthquake emergency database are mainly statistical data, which can be divided into population data based on administrative division and population data based on kilometer grid. The population gridded data is closer to the actual distribution of the population than the traditional census statistics, but it is also mainly based on static data. Neither can reflect the changes in the distribution of people during the day, nor can it reflect the impact of holidays on the flow of people, so it is very important to study the dynamic population distribution data. This paper analyzes the main methods of the existing population distribution model, compares the advantages and disadvantages of each model, and points out the limitations of the static population distribution model. At the same time, based on the communication base station and based on the population distribution model of the residential area, Shanxi Province’s work day/holiday population distribution model was established. And through data comparison and analysis, the feasibility of this method is verified.