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24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023

作者： Su, Junshen Wang, Xijun Chen, Xiang Cheng, Ray-Guang Sun Yat-Sen University School of Electronics and Information Technology Guangzhou China The Chinese University of HongKong Guangdong Provincial Key Laboratory of Big Data Computing Shenzhen China National Taiwan University of Science and Technology Department of Electronic and Computer Engineering Taipei Taiwan

ISBN: (纸本)9781665496261

Communication efficiency is one of the key bottlenecks in Federated Learning (FL). Compression techniques, such as sparsification and quantization, are used to reduce communication overhead. However, joint designs of these techniques under communication constraints are not well-explored. This paper investigates the joint uplink compression problem in communication-constrained FL systems. We propose a Block-TopK sparsification scheme to reduce the proportion of bits used for locating entries of a sparsified vector. Considering the communication constraints, an optimization formulation is proposed to minimize the compression error. By solving the optimization problem, our joint compression method provides a better trade-off between sparsity budget and bit width. Numerical results demonstrate that our approach achieves 99.96% of baseline accuracy with only 1.56% of the baseline communication overhead when training ResNet-18 on CIFAR-10. © 2023 IEEE.

关键词： Budget control

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Roles of concentration-dependent Cu doping behaviors on the thermoelectric properties of n-type Mg_(3)Sb_(1.5)Bi_(0.5)

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Journal of Materiomics 2024年第1期10卷 154-162页

作者： Xinxin Yang Heng Ni Xiaotong Yu Biao Cao Juanjuan Xing Qiyong Chen Lili Xi Jiandang Liu Jiye Zhang Kai Guo Jing-Tai Zhao School of Materials Science and Engineering Shanghai University99 Shangda RoadShanghai200444China Materials Genome Institute Shanghai University99 Shangda RoadShanghai200444China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of ChinaHefeiAnhui230026China School of Physics and Materials Science Guangzhou UniversityGuangzhou510006China Research Center for Advanced Information Materials(CAIM) Huangpu Research&Graduate School of Guangzhou UniversitySino-Singapore Guangzhou Knowledge CityHuangpu DistrictGuangzhou510555China Key Lab of Si-based Information Materials&Devices and Integrated Circuits Design Department of Education of Guangdong ProvinceChina School of Materials Science and Engineering Guilin University of Electronic TechnologyGuilin541004China Guangxi Key Laboratory of Information Materials Guilin University of Electronic TechnologyGuilin541004China

Large Seebeck coefficients induced by high degeneracy of conduction band minimum,and low intrinsic lattice thermal conductivity originated from large lattice vibrational anharmonicity render Mg_(3)Sb_(2)as a promising n-type thermoelectric ***,we demonstrated unique concentration-dependent occupation behaviors of Cu in Mg_(3.4)Sb_(1.5)Bi_(0.49)Te_(0.01)matrix,evidenced by structural characterization and transport property *** is found that Cu atoms prefer to enter the interstitial lattice sites in Mg_(3)Sb_(2)host with low doping level(Mg_(3.4)Sb_(1.5)Bi_(0.49)Te_(0.01)+x%Cu,x<0.3%),acting as donors for providing additional electrons without deteriorating the carrier *** x is larger than 0.3%,the excessive Cu atoms are inclined to substitute Mg atoms,yielding acceptors to decrease the electron *** a result,the electrical conductivity of the Mg_(3.4)Sb_(1.5)Bi_(0.49)Te_(0.01)+0.3%Cu sample reaches 2.3×10^(4)S/m at 300 K,increasing by 300%compared with that of the pristine *** figure of merit zT values in the whole measured temperature range are significantly improved by the synergetic improvement of power factor and reduction of thermal *** average zT∼1.07 from 323 K to 773 K has been achieved for the Mg_(3.4)Sb_(1.5)Bi_(0.49)Te_(0.01)+0.3%Cu sample,which is about 30%higher than that of the Mg_(3.4)Sb_(1.5)Bi_(0.49)Te_(0.01) sample.

关键词： Mg_(3)Sb_(2) Cu doping Concentration-dependent occupation Thermoelectric properties Average zT

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Efficient Common Items Extraction from Multiple Sorted Lists

Efficient Common Items Extraction from Multiple Sorted Lists

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International Asia-Pacific Web Conference (APWEB)

作者： Wei Lu Chuitian Rong Jinchuan Chen Xiaoyong Du Gabriel Pui Cheong Fung Xiaofang Zhou Ministry of Education Key Laboratories of Data Engineering and Knowledge Engineering China School of Information Renmin University of China China School of Computing Informatics Arizona State University USA School of ITEE University of Queensland Australia

Given a set of lists, where items of each list are sorted by the ascending order of their values, the objective of this paper is to figure out the common items that appear in all of the lists efficiently. This problem is sometimes known as common items extraction from sorted lists. To solve this problem, one common approach is to scan all items of all lists sequentially in parallel until one of the lists is exhausted. However, we observe that if the overlap of items across all lists is not high, such sequential access approach can be significantly improved. In this paper, we propose two algorithms, MergeSkip and MergeESkip, to solve this problem by taking the idea of skipping as many items of lists as possible. As a result, a large number of comparisons among items can be saved, and hence the efficiency can be improved. We conduct extensive analysis of our proposed algorithms on one real dataset and two synthetic datasets with different data distributions. We report all our findings in this paper.

关键词： data mining data engineering knowledge engineering Informatics Algorithm design and analysis Computer science Application software Information retrieval

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Effect of the Multiple Cylinders Scattering of an Electromagnetic Plane Wave on the Formation of Whispering Gallery Modes

Effect of the Multiple Cylinders Scattering of an Electromag...

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2016 International Conference on Advanced Materials and Science Technology(AMST 2016)

作者： Arnold ABRAMOV Lin LUAN Chun-lin JI Xue LI Alexander KOSTIKOV Kuang-Chi Institute of Advance Technology Shenzhen Key Laboratory of Optical and Terahertz Meta-RF Shenzhen Key Laboratory of Data Science and Modelling Donbass State Engineering Academy

We report on the effect of scattering by multiple cylinders of an electromagnetic plane wave on the formation of whispering gallery modes(WGM) in the *** was found that WGM can arise thanks to the presence of additional cylinder scatterers,and at their special location,while WGM in a single cylinder can be formed only for specially chosen values of the cylinder radius and(or) wave length,and the accuracy of these matching should be much more than required in our model for the location of the additional *** analysis of the general solution of considered scattering problem has shown that the effect can be explained by the interference of waves scattered by additional cylinders(i) and incident on the main cylinder(ii).

关键词： Cylinder Scattering Wave Field Whispering gallery modes

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A Group key Management Scheme Based on Random Transmission for VANET

A Group Key Management Scheme Based on Random Transmission f...

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2016 6th International Conference on Machinery,Materials,Environment,Biotechnology and Computer(MMEBC 2016)

作者： Liang PANG Da WEI Qi ZHAO Jianqi ZHU College of Computer Science and Technology Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Jilin University

ISBN: (纸本)9781510828087

Group key management plays an important role in ensuring the safety and reliability of the VANET(vehicular ad-hoc network) over the channelThrough considering the characteristics of VANET communication and topology, a VANET group key management scheme is proposed based on random transmission which is combined with the construction of polynomial and key updating by Hash chainThe scheme achieves the random transmission function of group key and the node revocation capabilityMoreover, it can ensure the forward and backward and other security attributes of the group keyThe results show that the proposed scheme has less communication complexity and better communication performance, also it can suitable for large scale VANET group.

关键词： VANET Group Random Transmission Polynomial Hash Chain

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Energy-Efficient Multi-Trip Routing for Municipal Solid Waste Collection by Contribution-Based Adaptive Particle Swarm Optimization

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Complex System Modeling and Simulation 2023年第3期3卷 202-219页

作者： Xiaoning Shen Hongli Pan Zhongpei Ge Wenyan Chen Liyan Song Shuo Wang Collaborative Innovation Center of Atmospheric Environment and Equipment Technology and also with the Jiangsu Key Laboratory of Big Data Analysis TechnologySchool of AutomationNanjing University of Information Science and TechnologyNanjing 210044China School of Automation Nanjing University of Information Science and TechnologyNanjing 210044China Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation the Department of Computer Science and EngineeringSouthern University of Science and TechnologyShenzhen 518055China School of Computer Science University of BirminghamBirminghamB152TTUK

Waste collection is an important part of waste management *** costs and carbon emissions can be greatly reduced by proper vehicle ***,each vehicle can work again after achieving its capacity limit and unloading the *** this,an energy-efficient multi-trip vehicle routing model is established for municipal solid waste collection,which incorporates practical factors like the limited capacity,maximum working hours,and multiple trips of each *** both economy and environment,fixed costs,fuel costs,and carbon emission costs are minimized *** solve the formulated model effectively,contribution-based adaptive particle swarm optimization is *** strategies named greedy learning,multi-operator learning,exploring learning,and exploiting learning are specifically designed with their own searching *** assessing the contribution of each learning strategy during the process of evolution,an appropriate one is selected and assigned to each individual adaptively to improve the searching efficiency of the ***,an improved local search operator is performed on the trips with the largest number of waste sites so that both the exploiting ability and the convergence accuracy of the algorithm are *** of the proposed algorithm is tested on ten waste collection instances,which include one real-world case derived from the Green Ring Company of Jiangbei New District,Nanjing,China,and nine synthetic instances with increasing scales generated from the commonly-used capacitated vehicle routing problem benchmark *** with five state-of-the-art algorithms show that the proposed algorithm can obtain a solution with a higher accuracy for the constructed model.

关键词： municipal solid waste collection energy conservation multi-trip contribution particle swarm optimization

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Scavenger: Better Space-Time Trade-Offs for key-Value Separated LSM-trees 40

Scavenger: Better Space-Time Trade-Offs for Key-Value Separa...

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40th IEEE International Conference on data engineering, ICDE 2024

作者： Zhang, Jianshun Wang, Fang Qiu, Sheng Wang, Yi Ou, Jiaxin Huang, Junxun Li, Baoquan Fang, Peng Feng, Dan School of Computer Science and Technology Huazhong University of Science and Technology Wuhan National Laboratory for Optoelectronics Key Laboratory of Information Storage System Engineering Research Center of Data Storage Systems and Technology Ministry of Education of China China Shenzhen Huazhong University of Science and Technology Research Institute China Bytefrance Inc.

ISBN: (纸本)9798350317152

key-Value Stores (KVS) implemented with log-structured merge-tree (LSM-tree) have gained widespread ac-ceptance in storage systems. Nonetheless, a significant challenge arises in the form of high write amplification due to the compaction process. While KV-separated LSM-trees successfully tackle this issue, they also bring about substantial space am-plification problems, a concern that cannot be overlooked in cost-sensitive scenarios. Garbage collection (GC) holds significant promise for space amplification reduction, yet existing GC strategies often fall short in optimization performance, lacking thorough consideration of workload characteristics. Additionally, current KV-separated LSM-trees also ignore the adverse effect of the space amplification in the index LSM-tree. In this paper, we systematically analyze the sources of space amplification of KV-separated LSM-trees and introduce Scavenger, which achieves a better trade-off between performance and space amplification. Scavenger initially proposes an I/O-efficient garbage collection scheme to reduce I/O overhead and incorporates a space-aware compaction strategy based on compensated size to minimize the space amplification of index LSM-trees. Extensive experiments show that Scavenger significantly improves write performance and achieves lower space amplification than other KV-separated LSM-trees (including BlobDB, Titan, and TerarkDB). © 2024 IEEE.

关键词： Economic and social effects

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A Combined Method Based on Extension Rule and Resolution

A Combined Method Based on Extension Rule and Resolution

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International Conference on Artificial Intelligence and Computational Intelligence (AICI)

作者： Xia Wu Haihong Yu Ying Li College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Changchun China

Theorem proving based on the extension rule is a new reasoning method. It is, in a sense, potentially a complementary method to resolution based method. HRIER is a very fast extension rule algorithm with reduction rules and heuristic function. DR is a fast ordering-based restricted resolution method in proposition logic. In order to make best use of the respective characteristic of the extension rule method and resolution method, this paper proposes a combined algorithm CDE based on HRIER and DR. And then the soundness and completeness of it are proved. The experiment results show CDE is a fast SAT solver.

关键词： Erbium Logic Artificial intelligence Computer science Mathematics Computational intelligence Educational institutions Educational technology Laboratories knowledge engineering

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Research on 3D skeletal model extraction algorithm of branch based on SR4000 4

Research on 3D skeletal model extraction algorithm of branch...

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2019 4th International Conference on Intelligent Computing and Signal Processing, ICSP 2019

作者： Liu, Shiyang Yao, Jiaojiao Li, Hui Qiu, Changpeng Liu, Ruijun College of Information and Electrical Engineering China Agricultural University Beijing100083 China College of Horticulture China Agricultural University Beijing100083 China Beijing Key Laboratory of Big Data Technology for Food Safety Beijing Technology and Business University Beijing100048 China

A branch 3D Skeleton extraction method based on SR4000 is proposed, which can be used for pruning robot visual recognition. In this method a 3D Skeleton model of the branches of apple trees in the initial fruit stage was successfully constructed. According to the experimental results, the average computational efficiency of the 2AHC(2-level Aggregation Hierarchy Clustering) is increased by 369%, the detection rate is 84.69%, and the error rate is 5.03%. The average detection rate of depth analytic hierarchy process was 64%;The overall 3D Skeleton restoration effect is better. Therefore, the algorithm can better reflect the qualitative relationship between branches, improve the computational efficiency, and provide algorithm support for automatic pruning robot visual recognition. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Computational efficiency

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An Asymmetric Modeling for Action Assessment 1

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16th European Conference on Computer Vision, ECCV 2020

作者： Gao, Jibin Zheng, Wei-Shi Pan, Jia-Hui Gao, Chengying Wang, Yaowei Zeng, Wei Lai, Jianhuang School of Data and Computer Science Sun Yat-sen University Guangzhou China Peng Cheng Laboratory Shenzhen518005 China School of Electronics Engineering and Computer Science Peking University Beijing China Pazhou Lab Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangzhou China

ISBN: (数字)9783030585778

ISBN: (纸本)9783030585761

Action assessment is a task of assessing the performance of an action. It is widely applicable to many real-world scenarios such as medical treatment and sporting events. However, existing methods for action assessment are mostly limited to individual actions, especially lacking modeling of the asymmetric relations among agents (e.g., between persons and objects);and this limitation undermines their ability to assess actions containingasymmetrically interactive motion patterns, since there always exists subordination between agents in many interactive actions. In this work, we model the asymmetric interactions among agents for action assessment. In particular, we propose an asymmetric interaction module (AIM), to explicitly model asymmetric interactions between intelligent agents within an action, where we group these agents into a primary one (e.g., human) and secondary ones (e.g., objects). We perform experiments on JIGSAWS dataset containing surgical actions, and additionally collect a new dataset, TASD-2, for interactive sporting actions. The experimental results on two interactive action datasets show the effectiveness of our model, and our method achieves state-of-the-art performance. The extended experiment on AQA-7 dataset also demonstrates the generalization capability of our framework to conventional action assessment. © 2020, Springer Nature Switzerland AG.

关键词： Intelligent agents

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