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Device-free multiple people daily activity recognition using the channel state information of Wi-Fi signals

International Journal of Smart Home 2016年第9期10卷 103-112页

作者： Al-qaness, Mohammed Abdulaziz Aide Li, Fangmin Key Laboratory of Fiber Optical Sensing Technology and Information Processing Ministry of Education Hubei Key Laboratory of Broadband Wireless Communication and Sensor Network Wuhan University of Technology Wuhan430070 China

This paper demonstrates on the problem of device-free multiple people daily activity recognition, which is very crucial for human computer interaction. The main idea of this paper lies in that we introduce channel state information of Wi-Fi signals to recognize multiple people daily activity. Channel state information is used in the receiver end to analyze features of a communication channel to detect tampering through the transmitter. In order to alleviate the negative influence of radio frequency interference, we define window size to build up vectors of Channel state information. Afterwards, the proposed device-free multiple people daily activity recognition method is implemented by solving the sparse representation classification problem using minimization. To testify the effectiveness of the proposed method, we set the experiment setting with a bedroom and a living room;moreover, two persons and a cat are set in this experiment. Experiments results show that proposed device-free multiple people daily activity recognition method is able to promote activity recognition accuracy under different experiment settings.

关键词： Channel state information

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TA3C: Teaching-Oriented Adaptive Wi-Fi Authorized Access Control Based on CSI

TA3C: Teaching-Oriented Adaptive Wi-Fi Authorized Access Con...

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International Conference on Mobile Ad-hoc and sensor networks, MSN

作者： Fu Xiao Jing Chen Xiaohui Xie Lijuan Sun Ruchuan Wang Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education Jiangsu China College of Computer Nanjing University of Posts and Telecommunications Jiangsu China

ISBN: (纸本)9781509056972

Wi-Fi has been widely deployed with the rapid development of wireless communication technique. Wi-Fi hotspots are popular in campus, making convenient wireless network access possible. However, during class teaching, in order to avoid students browsing the web based on Wi-Fi hotspots and distracting, we hope Wi-Fi hotspots adaptively shield network access to students in the classroom, while grant access to users outside the classroom. In this work, we prototype TA3C system, a teaching-oriented adaptive Wi-Fi authorized access control scheme, using Channel State Information (CSI) to locate instead of coarse-grained and temporally unstable Received Signal Strength Indication (RSSI). CSI can distinguish multipath signals, stay stable in the same propagation environment, and show different characteristics in different propagation environments, based on which, we can distinguish outdoor and indoor environments, and identify user's location to decide whether to offer him wireless network access or not. Experiment results show that TA3C effectively achieve adaptive Wi-Fi authorized access control, which provides a guarantee for the quality of class teaching. Compared to traditional indoor localization techniques, TA3C does not need accurate location information but simply recognizes user's location indoors or outdoors, which means it does not need dedicated hardware, realizing the low-cost indoor localization technique.

关键词： wireless communication wireless fidelity wireless sensor networks Antennas Fingerprint recognition Correlation coefficient Correlation

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A New Fragmentation Strategy for Video of HTTP Live Streaming

A New Fragmentation Strategy for Video of HTTP Live Streamin...

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International Conference on Mobile Ad-hoc and sensor networks, MSN

作者： Xiaorui Li Lei Wang Jingwu Cui Baoyu Zheng National Mobile Communications Research Laboratory Southeast University Nanjing China Key Lab of Broadband Wireless Communication and Sensor Network Technology (NUPT) Nanjing China

ISBN: (纸本)9781509056972

To achieve the flexible and efficient transmission of files in the video on demand system, this paper proposed a three-tier fragmentation strategy which provided a unfiled method of fragmentation for video of HTTP Live Streaming and large file. In order to prove the rationality of the three-tier fragmentation strategy, we compared it with the two layers fragmentation strategy and the fragmentation strategy of equal time. And the comparisons proved the superiority of three-tier fragmentation strategy.

关键词： Peer-to-peer computing IPTV Packet loss Video on demand Data communication

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Design of P2P Application Layer Protocol

Design of P2P Application Layer Protocol

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International Conference on Mobile Ad-hoc and sensor networks, MSN

作者： Yujie Ma Lei Wang Jingwu Cui Baoyu Zheng National Mobile Communications Research Laboratory Southeast University Nanjing China Network Technology (NUPT) Key Lab of Broadband Wireless Communication and Sensor Nanjing China

ISBN: (纸本)9781509056972

On the basis of studying the principle and application technology of P2P protocol, we design the private protocol of P2P application layer to meet the needs of P2P communication. This application layer protocol splits up video into three types of blocks in order to improve transmission efficiency. Besides, the protocol can be expanded when needed since there are some invalid bits in the state list.

关键词： Peer-to-peer computing Protocols Streaming media Authentication Servers Sockets Law

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A New BDI Forecasting Model based on Support Vector Machine

A New BDI Forecasting Model based on Support Vector Machine

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2016 IEEE Information technology,networking,Electronic and Automation Control Conference(ITNEC 2016)

作者： Jianmin Bao Lin Pan Yuanfa Xie Key Lab of Broadband Wireless Communication and Sensor Network Technology (Jiangsu Provincial Engineering Research Center of Telecommunications and Network Technology) Ministry of Education Baer Institute of Excellence Nanjing University of Posts and Telecommunications

ISBN: (纸本)9781467391955

BDI(Dry Baltic Index) is a barometer of the shipping market, which is very important and difficult to predict precisely. The traditional forecasting method is not enough to predict precisely for it with higher complexity. The support vector machine has strong nonlinear function approximation and strong generalization ability. In this paper, a new BDI forecasting model based on support vector machine combined with CFS(Correlation-based Feature Selection) is presented and we first introduce the macroeconomic fundamental indicators of BDI. Firstly, we studied and researched the main macroeconomic fundamental indicators of BDI, investigate the inherent law and external influence of freight index fluctuation, and then put forward the BDI forecasting model based on support vector machine and demonstrate the construction principle of the forecasting model. Finally, in order to evaluate the predictive power of support vector machines, we compare their performance with the neural network model. The results show that the SVM model has a better performance in both the trend and the forecast precision, which can provide a powerful tool for the shipping market operators and investors to grasp the market trend and avoid the price risk.

关键词： BDI support vector machine feature selection CFS modeling

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Sleeping-time Analysis for Cognitive OFDM-PON

Sleeping-time Analysis for Cognitive OFDM-PON

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International Conference on wireless communications and Signal Processing

作者： Qiang Yu Xiaoting Yu Xiao Wu Lei Wang Baoyu Zheng Global Energy Interconnection Research institute Key Lab of Broadband Wireless Communication and Sensor Network Technology (NUPT) National Mobile Communications Research Laboratory Southeast University

ISBN: (纸本)9781509028610

In this paper, we introduce the concept of OFDM-PON, and introduce the best method to choose the maximum sleep time based on link speed and queue buffer capacity. By analyzing the relationship between the longest sleep time and the queue buffer capacity, it is concluded that inducing cognition into OFDM-PON can be used as an effective method to improve the energy efficiency.

关键词： Cognition OFDM-PON Sleeping time Link speed Queue buffer capacity

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A relevance feedback algorithm for motion data retrieval

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Tien Tzu Hsueh Pao/Acta Electronica Sinica 2016年第4期44卷 868-872页

作者： Chen, Song-Le Sun, Zheng-Xing Zhang, Yan Li, Qian State Key Laboratory for Novel Software Technology Nanjing University NanjingJiangsu210046 China Key Laboratory of Ministry of Education of China for Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications NanjingJiangsu210003 China

A relevance feedback algorithm based on RankBoost for content-based motion data retrieval (CBMR) is presented and has two characteristics. First, KNN-DTW is employed as the weak ranker for RankBoost ensemble learning. While adapting to variable-length multivariate time series (VLMTS) data, by taking the advantage of the ensemble and efficiency of RankBoost, it can resolve the conflict between the real-time requirement of relevance feedback and the high computational complexity of VLMTS data. Second, minimizing ranking experience loss and generalization loss risk proposed in this paper are used as the learning objective for RankBoost ensemble learning, which can effectively solve the over-fitting problem caused by small-sample training in relevance feedback. Experimental results on CMU action library verify the effectiveness of the proposed algorithm. © 2016, Chinese Institute of Electronics. All right reserved.

关键词：运动捕获数据相关反馈 RankBoost 排序损失

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Direction-of-arrival estimation based on Toeplitz covariance matrix reconstruction

Direction-of-arrival estimation based on Toeplitz covariance...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Xiaohuan Wu Wei-Ping Zhu Jun Yan Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China Department of Electrical and Computer Engineering Concordia University Montreal Canada

ISBN: (纸本)9781479999897

This paper addresses the issue of direction-of-arrival (DOA) estimation with an objective to eliminate the off-grid effect of the sparsity-based methods and enlarge the maximum number of distinguishable signals in the subspace-based methods. We first reconstruct the covariance matrix of the array output in the Toeplitz structure and then employ the reconstructed covariance matrix together with root-MUSIC to estimate the DOAs. The proposed covariance matrix reconstruction approach (CMRA) can be used for uniform and sparse linear arrays. It can also estimate the DOAs of multiple signals that are larger than the number of sensors by taking advantage of the array geometry. In contrast to the sparsity-based methods, CMRA is formulated in the continuous angle space rather than the discretized one, and hence it is immune to the off-grid effect. Simulations are carried out to verify the effectiveness of our method.

关键词： Covariance matrices Direction-of-arrival estimation Estimation sensor arrays Minimization Eigenvalues and eigenfunctions Geometry

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Interactive Evolutionary Multi-Objective Optimization Algorithm Using Cone Dominance

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Journal of Harbin Institute of technology(New Series) 2015年第6期22卷 76-84页

作者： Dalaijargal Purevsuren Saif ur Rehman Gang Cui Jianmin Bao Nwe Nwe Htay Win School of Computer Science and Technology Harbin Institute of Technology Key Lab of Broadband Wireless Communication and Sensor Network Technology (Jiangsu Provincial Engineering Research Center of Telecommunications and Network Technology) Ministry of Education

As the number of objectives increases,the performance of the Pareto dominance-based Evolutionary Multi-objective Optimization( EMO) algorithms such as NSGA-II,SPEA2 severely deteriorates due to the drastic increase in the Pareto-incomparable solutions. We propose a sorting method which classifies these incomparable solutions into several ordered classes by using the decision maker's( DM) preference *** is accomplished by designing an interactive evolutionary algorithm and constructing convex cones. This method allows the DMs to drive the search process toward a preferred region of the Pareto optimal front. The performance of the proposed algorithm is assessed for two,three,and four-objective knapsack problems. The results demonstrate the algorithm ' s ability to converge to the most preferred point. The evaluation and comparison of the results indicate that the proposed approach gives better solutions than that of NSGA-II. In addition,the approach is more efficient compared to NSGA-II in terms of the number of generations required to reach the preferred point.

关键词： multi-objective optimization evolutionary optimization preference information pareto dominance cone dominance

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Secure and Efficient Signature Scheme Based on NTRU for Mobile Payment

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Journal of Physics: Conference Series 2017年第1期910卷

作者： Yunhao Xia Lirong You Zhe Sun Zhixin Sun Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing P. R. China Zhongtian Technology Corporation Nantong P. R. China

Mobile payment becomes more and more popular, however the traditional public-key encryption algorithm has higher requirements for hardware which is not suitable for mobile terminals of limited computing resources. In addition, these public-key encryption algorithms do not have the ability of anti-quantum computing. This paper researches public-key encryption algorithm NTRU for quantum computation through analyzing the influence of parameter q and k on the probability of generating reasonable signature value. Two methods are proposed to improve the probability of generating reasonable signature value. Firstly, increase the value of parameter q. Secondly, add the authentication condition that meet the reasonable signature requirements during the signature phase. Experimental results show that the proposed signature scheme can realize the zero leakage of the private key information of the signature value, and increase the probability of generating the reasonable signature value. It also improve rate of the signature, and avoid the invalid signature propagation in the network, but the scheme for parameter selection has certain restrictions.

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