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Coverage Enhancement Strategy Based on Novel Perception and Co-Evolution for Multimedia Sensor Networks

Chinese Journal of Electronics 2023年第1期22卷 135-140页

作者： Fu Xiao Jing Wang Lijuan Sun Ruchuan Wang Jian Guo College of Computer Nanjing University of Posts and Telecommunications Nanjing China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing China

Coverage enhancement is one of the hot research topics in wireless multimedia sensor networks. A novel Coverage-enhancing algorithm based on three-dimensional Directional perception and co-evolution (DPCCA) is proposed in multimedia sensor networks on the basis of the model whose pitch angle and deviation angle can be adjusted. Based on the proposed elliptical cone sensing model, we can derive the coverage area of the node and calculate the optimal pitch angle according the information of monitoring area and the nodes, and then the deviation angle is optimized based on co-evolution algorithm, which eliminate the overlapped and blind sensing area effectively. A set of simulations demonstrate the effectiveness of our algorithm in coverage ratio.

关键词： Wireless communication Industries Solid modeling Wireless sensor networks Three-dimensional displays Medical services Sensors

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Positive-Unlab.led Learning for Sentiment Analysis with Adversarial Training 15th

Positive-Unlabeled Learning for Sentiment Analysis with Adve...

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15th EAI International Conference on Collab.rative Computing: Networking, Applications and Worksharing, Collab.rateCom 2019

作者： Xu, Yueshen Li, Lei Huang, Jianbin Yin, Yuyu Shao, Wei Mai, Zhida Hei, Lei School of Computer Science and Technology Xidian University Xi’an710071 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University SuzhouJiangsu215006 China School of Computer Hangzhou Dianzi University Hangzhou310018 China School of Science RMIT University MelbourneVIC3001 Australia Xanten Guangdong Development Co. Ltd. Foshan528200 China Center of Journal Publication Xidian University Xi’anShaanxi710071 China

ISBN: (纸本)9783030301453

Sentiment classification is a critical task in sentiment analysis and other text mining applications. As a sub-problem of sentiment classification, positive and unlab.led learning or positive-unlab.led learning (PU learning) problem widely exists in real-world cases, but it has not been given enough attention. In this paper, we aim to solve PU learning problem under the framework of adversarial training and neural network. We propose a novel model for PU learning problem, which is based on adversarial training and attention-based long short-term memory (LSTM) network. In our model, we design a new adversarial training technique. We conducted extensive experiments on two real-world datasets. The experimental results demonstrate that our proposed model outperforms the compared methods, including the well-known traditional methods and state-of-the-art methods. We also report the training time, and discuss the sensitivity of our model to parameters. © 2019, ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Long short-term memory

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An optimized band selection scheme for hyperspectral imagery analysis 5

An optimized band selection scheme for hyperspectral imagery...

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5th Workshop on Hyperspectral Image and Signal processing: Evolution in Remote Sensing, WHISPERS 2013

作者： Su, Hongjun Du, Qian Du, Peijun School of Earth Sciences and Engineering Hohai University China Department of Electrical and Computer Engineering Mississippi State University United States Department of Geographical Information Science Nanjing University China Jiangsu Key Lab. of Spectral Imaging and Intelligent Sense Nanjing University of Science and Technology China

ISBN: (纸本)9781509011193

A particle swarm optimization (PSO)-based automatic system to determine the number of optimal band sets and corresponding bands is proposed. A simple searching criterion function, called minimum estimated abundance covariance (MEAC), requiring class signatures only, is used in this method. The experimental results show that the PSO-based algorithm outperforms the popular sequential forward selection (SFS) method. The two PSOs can achieve the balance between the two objectives, and it may provide even better accuracy than a single-objective PSO. © 2013 IEEE.

关键词： Hyperspectral imaging

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An Adaptive Stable Link Selection Algorithm for Mobile Ad Hoc Networks

An Adaptive Stable Link Selection Algorithm for Mobile Ad Ho...

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ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD)

作者： Hui Zhang Yu-ning Dong State Key Laboratory for Novel Software Technology Nanjing University Nanjing China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University Suzhou China College of Communication and Information Engineering Nanjing University of Posts and Telecommunications Nanjing China

An adaptive strategy based stable link selection algorithm is proposed in this paper, in which the stable neighbor metric and local movement metric are defined. On the basis, the stability probability of each link is computed adoptively to find the most stable link or route in a route discovery. The simulation results show that our algorithm can effectively adapt to the network conditions, and outperforms the longevity factor based algorithm as well as the residual lifetime based algorithm in selecting stable links.

关键词： Mobile ad hoc networks Stability Clustering algorithms Data compression Global Positioning System Distributed computing Software algorithms computer networks information processing Educational technology

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Design and realization of evaluation environment in the performance analysis of intrusion detection system

Design and realization of evaluation environment in the perf...

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26th Chinese Control Conference, CCC 2007

作者： Liao, Guiping Yu, Fei Shen, Yue Zhang, Linfeng Xu, Cheng School of Computer and Information Engineering Hunan Agricultural University Changsha 410128 China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University Suzhou 2150063 China Guangdong Province Key Lab of Electronic Commerce Market Application Technology Guangdong University of Business Studies Guangzhou510320 China

ISBN: (纸本)7900719229

With the deeply research on intrusion detection techniques and the widely use of intrusion detection products, the study of evaluation techniques of intrusion detection systems became important. In the paper, relative works of the evaluation of intrusion detection systems was introduced. The primary aspects of intrusion detection systems in an evaluation were discussed. An evaluation system for intrusion detection systems was proposed. In the system, a supervisor module controls the whole system. The supervisor module schedules the traffic control module and the attack emulation module. The data in the evaluation environment are recorded and input to the evaluation module. The functions such as emulation of network traffic and host usage, emulation of attacks and evaluation report generation are implemented.

关键词： Control system analysis

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Data Distribution Algorithm of High-Speed Intrusion Detection system Based on Network Processor

Data Distribution Algorithm of High-Speed Intrusion Detectio...

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International Conference on Semantics, Knowledge and Grid (SKG)

作者： Cheng Xu Cheng Xu Fei Yu Fei Yu Zhenghui Dai Zhenghui Dai Guangxue Yue Guangxue Yue Renfa Li Renfa Li Provincial Key Laboratory of Computer Information Processing Technology Suzhou Jiangsu China State Key Laboratory of Information Security Graduate School of Chinese Academy of Sciences Beijing China School of Computer & Communication Hunan University Changsha China College of Informationg Engineering JiaXing University China

Because the processing speed of intrusion detection system can hardly keep pace with the high-speed development of network, improving the speed of intrusion detection has been the problem starved for solve. By adopting the network processor, a distribution algorithm based on protocol analysis has been realized. By delivering the captured data package to each detect node according to protocol types and then accomplishing the detection for data package through the collab.ration of the detect nodes, the processing efficiency of the intrusion detection system has been improved as a whole.

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A hybrid NSGA-II for matching biomedical ontology 14th

A hybrid NSGA-II for matching biomedical ontology

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14th International Conference on Intelligent information Hiding and Multimedia Signal processing, IIH-MSP 2018

作者： Xue, Xingsi Chen, Jie Chen, Junfeng Chen, Dongxu College of Information Science and Engineering Fujian University of Technology FuzhouFujian350118 China Intelligent Information Processing Research Center Fujian University of Technology FuzhouFujian350118 China Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology FuzhouFujian350118 China Fujian Key Lab for Automotive Electronics and Electric Drive Fujian University of Technology FuzhouFujian350118 China College of IOT Engineering Hohai University ChangzhouJiangsu China Fujian Medical University Union Hospital FuzhouFujian350001 China

ISBN: (纸本)9783030037444

Over the recent years, ontologies are widely used in the biomedical domains. However, biomedical ontology heterogeneity problem hamper the cooperation between intelligent applications based on biomedical ontologies. It is crucial to establish correspondences between the heterogeneous biomedical concepts in different ontologies, which is so-called biomedical ontology matching. Approaches based on Multi-Objective Evolutionary Algorithm (MOEA), such as NSGA-II, are emerging as a new methodology to solve the ontology matching problem. In this paper, to further improve the quality of biomedical ontology alignments, a hybrid NSGA-II is proposed, which modifies the knee solutions in the Pareto front by using a local search method. Experiment utilizes two biomedical ontology matching tracks provided by Ontology Alignment Evaluation Initiative (OAEI 2017). The experimental results show that our approach outperforms the participants of OAEI 2017 and NSGA-II based ontology matching technique. © Springer Nature Switzerland AG 2019.

关键词： Ontology

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On the Training of DNN-based Average Voice Model for Speech Synthesis

On the Training of DNN-based Average Voice Model for Speech ...

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Asia-Pacific Signal and information processing Association Annual Summit and Conference

作者： Shan Yang Zhizheng Wu Lei Xie Shaanxi Provincial Key Lab of Speech and Image Information Processing School of Computer Science Northwestern Polytechnical University Xi'an China The Centre for Speech Technology Research University of Edinburgh UK

ISBN: (纸本)9781509024018

Adaptability and controllab.lity are the major advantages of statistical parametric speech synthesis (SPSS) over unit-selection synthesis. Recently, deep neural networks (DNNs) have significantly improved the performance of SPSS. However, current studies are mainly focusing on the training of speaker-dependent DNNs, which generally requires a significant amount of data from a single speaker. In this work, we perform a systematic analysis of the training of multi-speaker average voice model (AVM), which is the foundation of adaptability and controllab.lity of a DNN-based speech synthesis system. Specifically, we employ the i-vector framework to factorise the speaker specific information, which allows a variety of speakers to share all the hidden layers. And the speaker identity vector is augmented with linguistic features in the DNN input. We systematically analyse the impact of the implementations of ivectors and speaker normalisation.

关键词： Training DNN-based Average Voice Model Speech Synthesis

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Dynamic layered-graph model for routing in cognitive radio network

Jiefangjun Ligong Daxue Xuebao/Journal of PLA University of ...

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Jiefangjun Ligong Daxue Xuebao/Journal of PLA University of Science and technology (Natural Science Edition) 2008年第6期9卷 586-590页

作者： Li, Yang Dong, Yu-Ning Zhao, Hai-Tao College of Communication and Information Engineering Nanjing University of Posts and Telecommunications Nanjing 210003 China Jiangsu Provincial Key Lab. of Computer Information Processing Technology Soochow University Suzhou 215006 China

To analyze routing protocol in cognitive radio(CR) networks effectively, a dynamic routing model is necessary. Dynamic layered graphic(DG) was proposed aiming at the characteristic of dynamic spectrum access in CR networks. In DG model, nodes were split into many sub-nodes, and each sub-node state could denote whether the related channel was availab.e or *** DG model, sub-node state was taken as a stochastic process and the model of cognitive radio network's dynamic topology was set up by analyzing the dynamic characteristic of sub-node state. Simulation results show that in the aspect of the adaptability to CR network's variable SOP and depiction of the topology, the DG model outperforms the layered graph(LG) model, and can adapt well to CR networks environment.

关键词： Cognitive radio

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3D FACE REPRESENTATION AND RECOGNITION BY INTRINSIC SHAPE DESCRIPTION MAPS

3D FACE REPRESENTATION AND RECOGNITION BY INTRINSIC SHAPE DE...

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IEEE International Conference on Acoustics, Speech, and Signal processing

作者： Zhe Guo Yanning Zhang Yong Xia Zenggang Lin Dagan Feng Shaanxi Provincial Key Lab of Speech & Image Information Processing (SAIIP) School of Computer Science Northwestern Polytechnical University Xi'an China Biomedical and Multimedia Information Technology (BMIT) Research Group School of Information Technologies University of Sydney Australia

ISBN: (纸本)9781424442959

We present a novel method for 3D face recognition, in which the 3D facial surface is first mapped into a 2D domain with specified resolution through a global optimization by constrained conformal geometric maps. The Intrinsic Shape Description Map (ISDM) is then constructed through a modeling technique capable to express geometric and appearance information of the 3D face. Hence the 3D surface matching problem can be simplified to a 2D image matching problem, which greatly reduces the computational complexity. Finally, the Intrinsic Shape Description Feature (ISDF) of ISDM and the discrimination analysis can be calculated. Experimental results implemented on GavabDB demonstrate that our proposed method significantly outperforms the existing methods with respect to pose variation.

关键词： Face recognition Conformal Geometric Maps Intrinsic Shape Description Map

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