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UR: A User-Based Collaborative Filtering Recommendation System Based on Trust Mechanism and Time Weighting

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UR: A User-Based Collaborative Filtering Recommendation Syst...

International Conference on Parallel and Distributed Systems (ICPADS)

作者： Lei Zhang Zhijun Zhang Jufang He Zhenyu Zhang College of Intelligence and Computing Tianjin Key Laboratory of Advanced Network Technology and Application Tianjin China Key Laboratory of Grain Information Processing and Control Henan University of Technology Tianjin China

ISBN: (纸本)9781728125848

The technology of personalized recommendation is aimed at studying the behaviors of users, analyzing what they may be interested in and recommending suitable items to them. In other words, the personalized recommendation is to better solve the contradiction between the requirements of users and the explosive information on the Internet. The user-based collaborative filtering recommendation is one of the most successful technology for recommendation system. The most significant step of user-based collaborative filtering recommendation is comprehensive user similarity calculation. However, most recommendation systems ignore the indispensability of trust mechanism of the users and the time weighted users rating attributes in user similarity calculation, which leads to the inaccurate recommendation. Based on these issues, this paper proposes an optimized user-based collaborative filtering recommendation system called UR. UR not only validates the necessity of the trust mechanism of the users and the time weighted users rating in the comprehensive user similarity calculation, but also improves the recommendation accuracy.

关键词： User-based collaborative filtering recommendation Time weighted user rating User similarity calculation Recommender systems Consumers collaborative filtering User needs Nonprofit Organizations Trust trust

Energy-Efficient Cell-Free Massive MIMO Through Sparse Large-Scale Fading processing

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arXiv 2022年

作者： Chen, Shuaifei Zhang, Jiayi Björnson, Emil Demir, Özlem Tuğfe Ai, Bo The School of Electronic and Information Engineering The Frontiers Science Center for Smart Highspeed Railway System Beijing Jiaotong University Beijing100044 China Purple Mountain Laboratories Nanjing211111 China The Department of Computer Science KTH Royal Institute of Technology Kista164 40 Sweden The Department of Electrical and Electronics Engineering TOBB University of Economics and Technology Ankara Turkey The State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China The Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou University Zhengzhou450001 China

Cell-free massive multiple-input multiple-output (CF mMIMO) systems serve the user equipments (UEs) by geographically distributed access points (APs) by means of joint transmission and reception. To limit the power consumption due to fronthaul signaling and processing, each UE should only be served by a subset of the APs, but it is hard to identify that subset. Previous works have tackled this combinatorial problem heuristically. In this paper, we propose a sparse distributed processing design for CF mMIMO, where the AP-UE association and long-term signal processing coefficients are jointly optimized. We formulate two sparsity-inducing mean-squared error (MSE) minimization problems and solve them by using efficient proximal approaches with block-coordinate descent. For the downlink, more specifically, we develop a virtually optimized large-scale fading precoding (V-LSFP) scheme using uplink-downlink duality. The numerical results show that the proposed sparse processing schemes work well in both uplink and downlink. In particular, they achieve almost the same spectral efficiency as if all APs would serve all UEs, while the energy efficiency is 2-4 times higher thanks to the reduced processing and signaling. Copyright © 2022, The Authors. All rights reserved.

关键词： Energy efficiency

Multiple residual dense networks for reconfigurable intelligent surfaces cascaded channel estimation

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arXiv 2021年

作者： Jin, Yu Zhang, Jiayi Huang, Chongwen Yang, Liang Xiao, Huahua Ai, Bo Wang, Zhiqin The School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China The Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University Beijing100044 China Zhejiang Provincial Key Lab of Information Processing Communication and Networking Zhejiang University Hangzhou310007 China College of Computer Science and Electronic Engineering Hunan University Changsha410082 China ZTE Corporation State Key Laboratory of Mobile Network Mobile Multimedia Technology Shenzhen518057 China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou University Zhengzhou450001 China Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen518055 China China Academy of Information and Communications Technology Beijing100191 China

Reconfigurable intelligent surface (RIS) constitutes an essential and promising paradigm that relies programmable wireless environment and provides capability for space-intensive communications, due to the use of low-cost massive reflecting elements over the entire surfaces of man-made structures. However, accurate channel estimation is a fundamental technical prerequisite to achieve the huge performance gains from RIS. By leveraging the low rank structure of RIS channels, three practical residual neural networks, named convolutional blind denoising network, convolutional denoising generative adversarial networks and multiple residual dense network, are proposed to obtain accurate channel state information, which can reflect the impact of different methods on the estimation performance. Simulation results reveal the evolution direction of these three methods and reveal their superior performance compared with existing benchmark schemes. Copyright © 2021, The Authors. All rights reserved.

关键词： Channel estimation

Method for pests detecting in stored grain based on spectral residual saliency edge detection

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grain & Oil Science and technology 2019年第2期2卷 33-38页

作者： Yao Qin Yanli Wu Qifu Wang Suping Yu College of Information Science and Engineering Henan University of TechnologyZhengzhou 450001China Key Laboratory of Grain Information Processing and Control Henan University of TechnologyMinistry of EducationZhengzhou 450001China Henan Academy of Science Applied Physics Institute Co.LtdZhengzhou 450001China Luoyang Institute of Science and Technology Department of Computer and Information EngineeringLuoyang 471000China

Pests detecting is an important research subject in grain storage *** the past decades,many edge detection methods have been applied to the edge detection of stored grain *** some of them can realize the stored grain pests detecting,precision and robustness are not good *** residual(SR)saliency edge detection defines the logarithmic spectrumof image as novelty part of the image *** remaining spectrumis converted to the airspace to obtain edge detection *** algorithm is completely based on frequency domain *** not only can effectively simplify the target detection algorithm,but also can improve the effectiveness of target *** experimental results show that the edge results of stored grain pests detected by SR method are effective and stable.

关键词： Stored grain pests Saliency detection Spectral residual (SR) Edge detection

Research on Encryption Algorithm Based on Python

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Research on Encryption Algorithm Based on Python

2018 International Computers, Signals and Systems Conference, ICOMSSC 2018

作者： Xin, Zhang Dexian, Zhang University of Technology College of Information Science and Engineering Henan Zhengzhou 450001 China Grain Information Processing and Control Key Laboratory of Ministry of Education Zhengzhou 450001 China

ISBN: (纸本)9781538667514

With the rise of Python language in these years, more and more developers start to use Python language to do researches. Python language has its own advantage on Encryption algorithm. This paper discusses the principles of Caesar Cipher, Simple Substitution Cipher and Vigenere Cipher and their operating process based on Python, then concludes the characteristics and disadvantages of these Encryption algorithms from security and efficiency. It points out their applicable range, and in the end, forecasts the future of the Encryption algorithm based on Python. © 2018 IEEE.

关键词： Cryptography

Local Partial Zero-Forcing Combining for Cell-Free Massive MIMO Systems

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arXiv 2022年

作者： Zhang, Jiayi Zhang, Jing Björnson, Emil Ai, Bo The School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China The Frontiers Science Center for Smart High-Speed Railway System Beijing Jiaotong University Beijing100044 China The Department of Electrical Engineering Linköping University Linköping Sweden The Department of Computer Science KTH Royal Institute of Technology Kista Sweden The State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China The Frontiers Science Center for Smart High-Speed Railway System Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou University Zhengzhou450001 China Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen China

Cell-free massive multiple-input multiple-output (MIMO) provides more uniform spectral efficiency (SE) for users (UEs) than cellular technology. The main challenge to achieve the benefits of cell-free massive MIMO is to realize signal processing in a scalable way. In this paper, we consider scalable full-pilot zero-forcing (FZF), partial FZF (PFZF), protective weak PFZF (PWPFZF), and local regularized ZF (LRZF) combining by exploiting channel statistics. We derive closed-form expressions of the uplink SE for FZF, PFZF, and PWPFZF combining with large-scale fading decoding over independent Rayleigh fading channels, taking channel estimation errors and pilot contamination into account. Moreover, we investigate the impact of the number of pilot sequences, antennas per AP, and APs on the performance. Numerical results show that LRZF provides the highest SE. However, PWPFZF is preferable when the number of pilot sequences is large and the number of antennas per AP is small. The reason is that PWPFZF has lower computational complexity and the SE expression can be computed in closed-form. Furthermore, we investigate the performance of PWPFZF combining with fractional power control and the numerical results show that it improves the performance of weak UEs and realizes uniformly good service for all UEs in a scalable fashion. Copyright © 2022, The Authors. All rights reserved.

关键词： Power control

Research on An Improved RFID Collision Algorithm 2

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Research on An Improved RFID Collision Algorithm

2nd International Conference on Electronic information technology and Computer Engineering, EITCE 2018

作者： Zhang, Qing-Hui Wang, Qi-Ming Qin, Shuying College of Information Science and Engineering Henan University of Technology Zhengzhou China Key Laboratory of Grain Information Processing and Control Henan University of Technology Ministry of Education Zhengzhou China Hebi Second TV Relay Station Hebi China

Radio Frequency Identification (RFID) is a kind of information that using radio Identification technology. Anti-collision algorithm has always been a research topic for researchers. The anti-collision algorithm of labels is mainly divided into two major categories: ALOHA-Based Anti-Collision Algorithms and Anti-collision algorithm based on binary search. Both algorithms have their own advantages and disadvantages, Anti-collision algorithm that based on ALOHA is simple and fast, but it will lose labels. Binary-based anti-collision algorithm can be searched for every tag, and it is not easy to lose tags, but it is relatively complicated and has poor security. Therefore, this paper proposes an Anti-collision algorithm which combines the dynamic frame slot Anti-collision algorithm with the return binary search algorithm. © The Authors, published by EDP Sciences, 2018.

关键词： Radio frequency identification (RFID)

Method to Detect Granary Storage Weight Based on the Janssen Model

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grain & Oil Science and technology 2018年第1期1卷 20-27页

作者： ZHANG Dexian ZHANG Miao ZHANG Qinghui ZHANG Yuan LYU Lei College of Information Science and Engineering Henan University of Technology Grain Information Processing and Control Key Laboratory of Ministry of Education

This study proposes a new model of granary storage weight detection based on the Janssen model to satisfy the strategic requirements of granary storage quantity detection in China. The model theoretically elucidates the relationship between granary storage weight and bottom/side pressure. A new layout of pressure sensors along the inner and outer rings is also proposed to obtain the pressure value. The experimental results indicate that the detection error of the proposed model is significantly lower than 1% with respect to the low-cost detection system, and this effectively satisfies the actual requirement for real-time monitoring of granary storage quantity.

关键词： Granary storage quantity detection Janssen model Pressure sensor Detection model Detection accuracy

Synthetic PT symmetry and nonreciprocal amplification in optomechanics

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arXiv 2021年

作者： Zhang, Jian-Qi Liu, Jing-Xin Zhang, Hui-Lai Gong, Zhi-Rui Zhang, Shuo Yan, Lei-Lei Su, Shi-Lei Jing, Hui Feng, Mang State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics Wuhan Institute of Physics and Mathematics Innovation Academy of Precision Measurement Science and Technology Chinese Academy of Sciences Wuhan430071 China School of Physics Zhengzhou University Zhengzhou450001 China National Laboratory of Solid State Microstructures School of Physics Nanjing University Nanjing210093 China Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Department of Physics and Synergetic Innovation Center for Quantum Effects and Applications Hunan Normal University Changsha410081 China The College of Physics and Energy Shenzhen University Shenzhen518060 China Henan Key Laboratory of Quantum Information and Cryptography Zhengzhou450001 China Research Center for Quantum Precision Measurement Institute of Industry Technology Guangzhou and Chinese Academy of Sciences Guangzhou511458 China

We propose how to achieve synthetic PT symmetry in optomechanics without using any active medium. We find that harnessing the Stokes process in such a system can lead to the emergence of exceptional point (EP), i.e., the coalescing of both the eigenvalues and the eigenvectors of the system. By encircling the EP, non-reciprocal optical amplification and chiral mode switching can be achieved. This provides a surprisingly simplified route to realize PT -symmetric optomechanics, indicating that a wide range of EP devices can be created and utilized for various applications such as topological optical engineering and nanomechanical processing or sensing. Copyright © 2021, The Authors. All rights reserved.

关键词： Eigenvalues and eigenfunctions