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IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Jinhui Hu Yifan Zhu Huaqing Li Zheng Wang Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing China

ISBN: (数字)9781728124858

ISBN: (纸本)9781728124865

In this paper, we study distributed optimization problem over multi-agent networks where the goal is to find the global optimal of a sum of convex functions over strongly connected and directed graphs. A novel distributed algorithm is proposed where both row and column-stochastic matrices are utilized to bypass the limits of the implementation of doubly-stochastic matrices or eigenvector estimation in related work. Besides, it has an evident expression and accelerated convergence by introducing the momentum term. Combining the Generalized Small Gain Theorem with Linear Time Invariant (LTI) system inequality, the algorithm is proved to be able to linearly converge to the exact optimal solution. Furthermore, the ranges of stepsize and momentum paramater are characterized, respectively. Finally, simulation results illustrate effectiveness of the method and correctness of theoretical analysis.

关键词： Radio frequency Convergence Optimization Acceleration Eigenvalues and eigenfunctions Convex functions Linear matrix inequalities

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An ECG Monitoring System Based on Android

An ECG Monitoring System Based on Android

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International Conference on intelligent Human-Machine Systems and Cybernetics, IHMSC

作者： Ruiqi Zhang Zhengchun Hua Chen Chen Guangyuan Liu Wanhui Wen School of Electronic and Information Engineering Southwest University Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Chongqing China

ISBN: (数字)9781728165172

ISBN: (纸本)9781728165189

This study aims to design a real-time electrocardiogram (ECG) and heart rate monitoring system based on Android. The system connects Android device and a Shimmer3 ECG module, which is a wearable ECG device collecting ECG data with five electrodes. The ECG signal is amplified and filtered by internal circuit processing in Shimmer3 ECG module, and the ECG data is transmitted to an Android phone via Bluetooth. The baseline drift in ECG signal is removed through wavelet decomposition and reconstruction. Then, the processed ECG data are used to find the R wave peaks by an algorithm for automatic R peak locating and RR interval calculation. RR interval waveform is plotted and displayed on an Android phone in real time. Finally, ECG and RR intervals are saved for data playback and subsequent analysis.

关键词： Electrocardiography Bluetooth Real-time systems Smart phones Monitoring Heart rate

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Superconvergence and asymptotic expansion for semidiscrete bilinear finite volume element approximation of the parabolic problem

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Computers & Mathematics with Applications 2013年第1期66卷 91-104页

作者： Cunyun Nie Shi Shu Haiyuan Yu Yuyue Yang Department of Mathematics and Physics Hunan Institution of Engineering Hunan 411104 China Hunan Key Laboratory for Computation & Simulation in Science and Engineering Xiangtan University Hunan 411105 China Key Laboratory of Intelligent Computing & Information Processing of Ministry of Education Xiangtan University Hunan 411105 China

We first derive the asymptotic expansion of the bilinear finite volume element for the linear parabolic problem by employing the energy-embedded method on uniform grids, and then obtain a high accuracy combination pointwise formula of the derivatives for the finite volume element approximation based on the above asymptotic expansion. Furthermore, we prove that the approximate derivatives have the convergence rate of order two. Numerical experiments confirm the theoretical results.

关键词： Linear parabolic problem Bilinear finite volume element Error asymptotic expansion Superconvergence

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A Modified Soft-Decision Algorithm of V-BLAST Architecture

A Modified Soft-Decision Algorithm of V-BLAST Architecture

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International Conference on Wireless Communications, Networking and Mobile computing (WiCom)

作者： Dongfeng Zhao Daoben Li Key Laboratory of Information Processing and Intelligent Technology Information Engineering School BUPT Beijing University of Posts and Telecommunications Beijing China

A method based on modified sphere-decoding to compute the soft-information for the V-BLAST architecture is deduced in this paper. The system bit error ratio (BER) and computation complexity are simulated and compared with the classical methods. Simulation indicates that the new methods can reduce the decoding complexity with negligible performance degradation.

关键词： Maximum likelihood decoding Computer architecture Receiving antennas Telecommunication computing Computational modeling Random variables Laboratories information processing Computer errors Bit error rate

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A Novel Approach Combining Decoupling Training with Prototype-based Contrastive Learning for Tracking Long-Tailed Recording in Optical Aerial Imagery

A Novel Approach Combining Decoupling Training with Prototyp...

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Signal, information and Data processing (ICSIDP), IEEE International Conference on

作者： Jianlin Xie Guanqun Wang Tong Zhang Shilong Fan Yin Zhuang He Chen National Key Laboratory of Science & Technology on Space-Born Intelligent Information Processing (SBIIP) Beijing Institute of Technology Beijing China National Key Laboratory for Multimedia Information Processing Peking University Beijing China

ISBN: (数字)9798331515669

ISBN: (纸本)9798331515676

Scene classification is a classical task in optical aerial imagery. In practical applications, it is difficult to obtain a balanced training samples supporting model training. Therefore, the dataset usually follow the Long-Tailed distribution, which is challenge for classification task, especially for multi-categories scene classification. It would make model intend to learn the representation of head classes with majority samples, which lead to under-represent middle and tail classes with minority samples and affect a better classifier construction for long-tailed classification. In this article, a novel Prototypical Supervised Contrastive Learning Based on Decoupling Framework called PSCL-DF is proposed for Long-Tailed Classification in Optical Remote Sensing Imagery to make a better feature learning and better classifier leaning. Finally, extensive tests are performed on the two artificially generated long-tailed datasets, demonstrating the robustness and effectiveness of the proposed methods. Our results show that decoupling feature extraction and classification achieve significant performance gains.

关键词： Training Integrated optics Scene classification Heavily-tailed distribution Optical recording Contrastive learning Optical imaging Feature extraction Optical sensors Remote sensing

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Parallel knowledge acquisition algorithm for big data using MapReduce

Parallel knowledge acquisition algorithm for big data using ...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Jin Qian Min Xia Ping Lv Jiangsu Key Laboratory of Big Data Analysis Technology/B-DAT Nanjing University of Information Science & Technology Nanjing China Key Laboratory of Cloud Computing and Intelligent Information Processing of Changzhou City Jiangsu University of Technology Changzhou China

ISBN: (纸本)9781467372220

With the rapid growth of data volume, knowledge acquisition for big data has become a new challenge. To address this issue, the hierarchical decision table is defined and implemented in this work. The properties of different hierarchical decision tables are discussed under the different granularity of conditional attributes. A novel knowledge acquisition algorithm for big data using MapReduce is proposed. Experimental results demonstrate that the proposed algorithm is able to deal with big data and mine hierarchical decision rules under the different granularity.

关键词： Big Data Hierarchical Rough Set Knowledge Acquisition MapReduce big data information Extraction Decision tables

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A Two-Stage Overlapping Community Detection Based on Structure and Node Attributes in Online Social Networks 1st

A Two-Stage Overlapping Community Detection Based on Structu...

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1st International Workshop on Human Brain and Artificial Intelligence, HBAI 2019, held in conjunction with the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019

作者： Zhang, Xinmeng Li, Xinguang Jiang, Shengyi Li, Xia Xie, Bolin Laboratory of Language Engineering and Computing Guangdong University of Foreign Studies GuangzhouGuangdong510006 China Non-universal Language Intelligent Processing Laboratory Guangdong University of Foreign Studies GuangzhouGuangdong510006 China School of Information Science and Technology Guangdong University of Foreign Studies GuangzhouGuangdong510006 China

ISBN: (纸本)9789811513978

Traditional community detection algorithms are mainly based on network structure, while ignoring a large number of node attributes. In this paper, we propose a two-stage overlapping community detection method which combines structure and attributes(tsocd-SA). First, a set of non-overlapping communities are identified by using existing community detection methods, and community attribute summaries which represents high degree homogeneous attribute value of a community are constructed according to the attributes of the special nodes in the community. Then, we propose a similarity measure between node and community based on network structure and community attribute summary. For connector nodes which connect more than one communities, each node is divided into one or more communities based on the similarity and a specific threshold r. Experimental results in online social network datasets show that our proposed method is more effective than solely focus on structural information. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Social networking (online)

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A New Free-Standing Aqueous Zinc-Ion Capacitor Based on MnO2–CNTs Cathode and MXene Anode

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Nano-Micro Letters 2019年第4期11卷 227-238页

作者： Siliang Wang Qiang Wang Wei Zeng Min Wang Limin Ruan Yanan Ma Key Laboratory of Intelligent Computing and Signal Processing Ministry of EducationAnhui UniversityNo.3 Feixi RoadHefei 230039Anhui ProvincePeople’s Republic of China National Engineering Research Center for Agro-Ecological Big Data Analysis and Application School of Electronics and Information EngineeringAnhui UniversityNo.111 Jiulong RoadHefei 230601Anhui ProvincePeople’s Republic of China School of Sciences Hubei University of Automotive TechnologyNo.167 Checheng West RoadShiyan 442002Hubei ProvincePeople’s Republic of China

Restricted by their energy storage mechanism,current energy storage devices have certain drawbacks,such as low power density for batteries and low energy density for ***,the nearest ion capacitors,such as lithium-ion and sodium-ion capacitors containing battery-type and capacitor-type electrodes,may allow achieving both high energy and power *** the inspiration,a new zinc-ion capacitor(ZIC)has been designed and realized by assembling the free-standing manganese dioxide-carbon nanotubes(MnO2-CNTs)battery-type cathode and MXene(Ti3C2Tx)capacitortype anode in an aqueous *** ZIC can avoid the insecurity issues that frequently occurred in lithium-ion and sodium-ion capacitors in organic *** expected,the ZIC in an aqueous liquid electrolyte exhibits excellent electrochemical performance(based on the total weight of cathode and anode),such as a high specific capacitance of 115.1 F g?1(1 mV s?1),high energy density of 98.6 Wh kg?1(77.5 W kg?1),high power density of 2480.6 W kg?1(29.7 Wh kg?1),and high capacitance retention of^83.6%of its initial capacitance(15,000 cycles).Even in an aqueous gel electrolyte,the ZIC also exhibits excellent *** work provides an essential strategy for designing next-generation high-performance energy storage devices.

关键词： Energy storage Zinc-ion capacitor Battery-type and capacitor-type electrodes MXene Electrochemical performance

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Two Types of LDPC Decoding Methods for Coded Cooperation

Two Types of LDPC Decoding Methods for Coded Cooperation

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The 4th International Conference on Wireless Communications, Networking and Mobile computing(第四届IEEE无线通信、网络技术及移动计算国际会议)

作者： Dongfeng Zhao Daoben Li Key Laboratory of Information Processing and Intelligent Technology Information Engineering School BUPT (Beijing University of Posts and Telecommunications) Beijing China

In this paper, two decoding methods are proposed for coded cooperation using LDPC codes. A simple upper bound based on the union bound is introduced and the performance of these two methods is evaluated and compared b... 详细信息

关键词： Low Density Parity-Check Codes Coded Cooperation

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Two protocols for computing the sub-polygon's areas divided by a line

Two protocols for computing the sub-polygon's areas divided ...

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International Conference on Advanced Computer Theory and Engineering, ICACTE

作者： Hong Zhong Hongsheng Huang Runhua Shi Key Laboratory of Intelligent Computing & Signal Processing Anhui University Ministry of Education Hefei China 230039 Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Hefei Anhui PR China School of Computer Science and Technology Anhui University Hefei Anhui PR China

Secure Multi-party Computation (SMC) plays an important role in information security under the circumstance of cooperation calculation, so SMC on privacy-preservation is of great interest. In this paper we discuss an issue which is a special SMC problem. Based on Scalar Product Protocol, Monte Carlo Method and Oblivious Transfer, we give two solutions to the problem about how to decide the areas. That is, a polygon is divided into two parts by a line: S 1 and S 2 . Furthermore, we analyze the security and computational complexity, as well as the comparison of these two protocols. The results of analysis show that the proposed protocols are secure and efficient. We believe the two protocols will be useful in other geometric and combinatorial problems.

关键词： Computers Geometry

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