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International Journal of Multimedia and Ubiquitous engineering 2015年第11期10卷 253-264页

作者： Yin, Chunyong Ma, Luyu Feng, Lu Yin, Zhichao Wang, Jin School of Computer and Software Jiangsu Key Laboratory of Meteorological Observation and Information Processing Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China Nanjing No.1 Middle School Nanjing China

Feature selection algorithm plays a crucial role in intrusion detection, data mining and pattern recognition. According to some evaluation criteria, it gets optimal feature subset by deleting unrelated and redundant features of the original data set. Aiming at solving the problems about the low accuracy, the high false positive rate and the long detection time of the existing feature selection algorithm. In this paper, we come up with a feature selection algorithm towards efficient intrusion detection, this algorithm combines the correlation algorithm and redundancy algorithm to chooses the optimal feature subset. Experimental results show that the algorithm shows almost and even better than the traditional feature selection algorithm on the different classifiers. © 2015 SERSC.

关键词： Redundancy

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Semantic QoS Ontology and Semantic Service Ranking Approach for IoT services

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Journal of Harbin Institute of technology(New Series) 2014年第6期21卷 102-112页

作者： Nwe Nwe Htay Win Jian-Min Bao Gang Cui Purevsuren Dalaijargal School of Computer Science and Technology Harbin Institute of Technology Key Lab of Broadband Wireless Communication and Sensor Network Technolog Jiangsu Provincial Engineering Research Center of Telecommunications and Network TechnologyMinistry of Education

Due to a rapid increase in the number of functionally equivalent web services at open and dynamic Io T service environment,Qo S has become a major discrimination factor to reflect the user's expectation and experience of using a *** are different languages and models for expressing Qo S advertisements and requirements among service providers and ***,it leads to the issues of semantic interoperability of Qo S information and semantic similarity match between a semantic description of the service being requested by the service consumer,and a formal description of the service being offered by the service *** this paper,we propose a hierarchical two-layer semantic Qo S ontology to promote the description and declaration of Qo S-based service information in detail for any domain and ***,we develop a semantic matchmaking algorithm to compare the web services according to their Qo S information and adopt analytical hierarchy process( AHP) to make decision for the ranked services depending on the Qo S *** comparison study and experimental result show that our proposed system is superior to other service ranking approaches.

关键词： IoT service environment semantic QoS ontology semantic matchmaking algorithm QoS-based service information analytical hierarchy process

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A feature selection algorithm based on Hoeffding inequality and mutual information

International Journal of Signal Processing, Image Processing...

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International Journal of Signal Processing, Image Processing and Pattern Recognition 2015年第11期8卷 433-444页

作者： Yin, Chunyong Feng, Lu Ma, Luyu Yin, Zhichao Wang, Jin School of Computer and Software Jiangsu Key Laboratory of Meteorological Observation and Information Processing Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China Nanjing No.1 Middle School Nanjing China

With the rapid development of the Internet, the application of data mining in the Internet is becoming more and more extensive. However, the data source’s complex feature redundancy leads that data mining process becomes very inefficient and complex. So feature selection research is essential to make data mining more efficient and simple. In this paper, we propose a new way to measure the correlation degree of internal features of dataset which is a mutation of mutual information. Additionally we also introduce Hoeffding inequality as constraint of constructing algorithm. During the experiments, we use C4.5 classification algorithm as test algorithm and compare HSF with BIF(feature selection algorithm based on mutual information). Experiments results show that HSF performances better than BIF[1] in TP and FP rate, what’s more the feature subset obtained by HSF can significantly improve the TP, FP and memory usage of C4.5 classification algorithm. © 2015 SERSC.

关键词： Feature Selection

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A copyright protection method for wireless sensor networks based on digital watermarking

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International Journal of Hybrid Information technology 2015年第6期8卷 257-268页

作者： Wang, Baowei Su, Jianwei Zhang, Youdong Wang, Biqiang Shen, Jian Ding, Qun Sun, Xingming School of Computer and software Nanjing University of Information Science and Technology Nanjing210044 China Jiangsu Engineering Center of Network Monitoring Nanjing210044 China Department of Computer Engineering Huaiyin Institute of Technology Huaian223003 China Hubei Meteorological Service Center Wuhan430074 China

Wireless sensor networks are composed of numerous sensor nodes in the monitored area, which have been well applied in various practical areas. In these applications, data security from sensors has been threatened. Thereby in this paper, a digital watermarking based copyright protection method is proposed with regard to data security in wireless sensor networks. According to the particular characteristics of collecting data, the embedding capacity can be expanded using this method of manipulating both LSB and MSRB 4. bits of the data field. The data-related information is embedded as the digital watermarking into the data to be forwarded. When the base station receives the data, we use a lookup Table to improve the speed of data parsing. In order to achieve and verify the copyright protection on WSNs, both theoretical analysis and experimental results have demonstrated that the method can effectively detect the data reliability. In addition, we also generate two-dimensional code based on the test results, thereby facilitating the user's copyright authentication. © 2015 SERSC.

关键词： sensor nodes

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A new wideband LNA using a g_m-boosting technique

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Journal of Semiconductors 2014年第1期35卷 84-90页

作者：陈亮李智群曹佳吴晨健张萌 Institute of RF- & OE- ICs Southeast University RFIC and System Engineering Research Center of Ministry of Education of China Southeast University Jiangsu Provincial Key Laboratory of Sensor Network Technology

A new broadband low-noise amplifier （LNA） is proposed. The conventional common gate （CG） LNA exhibits a relatively high noise figure, so active gin-boosting technology is utilized to restrain the noise generated by the input transistors and reduce the noise figure. Theory, simulation and measurement are shown. An implemented prototype using 0.13 μm CMOS technology is evaluated using on-wafer probing. S11 and S22 are below -10 dB across 0.1-5 GHz. Measurements also show a gain of 18.3 dB with a 3 dB bandwidth from 100 MHz to 2.1 GHz and an ⅡP3 of-7 dBm at 2 GHz. The measured noise figure is better than 2.5 dB below 2.1 GHz, is better than 4.5 dB below 5 GHz, and at 500 MHz, it gets its minimum value 1.8 dB. The LNA consumes 9 mA from 1.5 V supply and occupies an area of 0.04 mm^2.

关键词： broadband LNA gm-boosting CMOS

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A fully integrated CMOS IF module for C-band RF transceiver

A fully integrated CMOS IF module for C-band RF transceiver

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IEEE International Wireless Symposium (IWS)

作者： Kai Zhang Zhiqun Li Zengqi Wang Yang Guo Tailun Sun Institute of RF- & OE-ICs Southeast University Nanjing China Jiangsu Provincial key Laboratory of Sensor Network Technology Wuxi China RFIC and System Engineering Research Center Ministry of Education of China Nanjing China

This paper presents a fully integrated IF module which can receive or transmit signal with only one port. The switching time between reception and transmission is less than 3μs. In the state of reception, the IF module can convert differential signal to single-ended signal. Simulation results show 3.2dB power gain and 11.65dBm OP1dB while drawing 45mA from a 3.3V supply. In the state of transmission, the IF module can convert single-ended signal to differential signal. Simulation results show 0~15dB programmable voltage gain and -3.5dBm IP1dB while drawing 16mA from a 3.3V supply. At working frequency of 1.3GHz~1.4GHz, VSWRs can attain high performance in two states, both are less than 1.5* 1. The chip is designed in 0.18μm CMOS technology, the die area is 1.5*1.5 mm2. All the components of the linearization scheme are designed on-chip enabling maintenance of a single chip transceiver solution.

关键词： Impedance matching Radio frequency CMOS integrated circuits Ports (Computers) Transceivers Power amplifiers Electronics packaging

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Design of ultralow power receiver front-ends for 2.4 GHz wireless sensor network applications

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Journal of Semiconductors 2014年第1期35卷 104-111页

作者：张萌李智群王曾祺吴晨健陈亮 Institute of RF- & OE-ICs Southeast University Engineering Research Center of RF-ICs & RF-Systems Ministry of Education Southeast University Jiangsu Provincial Key Laboratory of Sensor Network Technology

This paper presents the design of an ultralow power receiver front-end designed for a wireless sensor network （WSN） in a 0.18 μm CMOS process. The author designs two front-ends working in the saturation region and the subthreshold region respectively. The front-ends contain a two-stage cross-coupling cascaded common-gate （CG） LNA and a quadrature Gilbert IQ mixer. The measured conversion gain is variable with high gain at 24 dB and low gain at 7 dB for the saturation one, and high gain at 22 dB and low gain at 5 dB for the subthreshold one. The noise figure （NF） at high gain mode is 5.1 dB and 6.3 dB for each. The input 1 dB compression point （IPldB） at low gain mode is about -6 dBm and -3 dBm for each. The front-ends consume about 2.1 mA current from 1.8 V power supply for the saturation one and 1.3 mA current for the subthreshold one. The measured results show that, comparing with the power consumption saving, it is worth making sacrifices on the performance for using the subthreshold technology.

关键词： receiver front-end wireless sensor network （WSN） VG-LNA IQ-mixer low power subthresholdbiased

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A parallel HEVC encoder scheme based on Multi-core platform

A parallel HEVC encoder scheme based on Multi-core platform

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2015 4th National Conference on Electrical,Electronics and Computer engineering(NCEECE 2015)

作者： Shu Jun Hu Dong Education Ministry’s Key Lab of Broadband Wireless Communication and Sensor Network Technology Education Ministry’s Engineering Research Center of Ubiquitous Network and Health Service System Jiangsu Province’s Key Lab of Image Procession and Image Communications Nanjing University of Post and Telecommunications

ISBN: (纸本)9781510819085

In this paper, we propose a parallel HEVC encoder scheme based on multi-core platform, which provides maximized parallel scalability by exploiting two-level parallelism, namely, the frame level parallelism and the CTB level parallelism. Inspired by the intra-CTB row level parallelism of WPP in HEVC, we investigate the inter-frame CTB prediction dependency to its reference CTBs, and find the inter-CTB correlation. Using this inter-correlation, we divide a frame into CTB units and create CTB-row level coding threads when their corresponding reference CTBs are available. Each thread is bonded to a processing core, therefore, both intra- and inter-CTB rows can be encoded in parallel. Moreover, we introduce a priority scheduling mechanism to control the coding threads. Experiments on Tilera-Gx36 multi-core platform show that, compared with serial execution, the proposed method achieves 3.6 and 4.3 times speedup for 1080 P and 720 P video sequences, respectively.

关键词： HEVC multi-core platform parallel processing frame-level CTB-level

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Improved locality-sensitive hashing method for the approximate nearest neighbor problem

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Chinese Physics B 2014年第8期23卷 217-225页

作者：陆颖华马廷淮钟水明曹杰王新 Abdullah Al-Dhelaane Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology School of Computer & Software Nanjing University of Information Science & Technology School of Economic & Management Nanjing University of Information Science & Technology Huafeng Meteorological Media Group Computer Science Department College of Computer and Information Science King Saud University

In recent years, the nearest neighbor search （NNS） problem has been widely used in various interesting applications. Locality-sensitive hashing （LSH）, a popular algorithm for the approximate nearest neighbor problem, is proved to be an efficient method to solve the NNS problem in the high-dimensional and large-scale databases. Based on the scheme of p-stable LSH, this paper introduces a novel improvement algorithm called randomness-based locality-sensitive hashing （RLSH） based on p-stable LSH. Our proposed algorithm modifies the query strategy that it randomly selects a certain hash table to project the query point instead of mapping the query point into all hash tables in the period of the nearest neighbor query and reconstructs the candidate points for finding the nearest neighbors. This improvement strategy ensures that RLSH spends less time searching for the nearest neighbors than the p-stable LSH algorithm to keep a high recall. Besides, this strategy is proved to promote the diversity of the candidate points even with fewer hash tables. Experiments are executed on the synthetic dataset and open dataset. The results show that our method can cost less time consumption and less space requirements than the p-stable LSH while balancing the same recall.

关键词： approximate nearest neighbor problem locality-sensitive hashing

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MRG-DBSCAN: An improved DBSCAN clustering method based on map reduce and grid

International Journal of Database Theory and Application

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International Journal of Database Theory and Application 2015年第2期8卷 119-128页

作者： Ma, Li Gu, Lei Li, Bo Qiao, Shouyi Wang, Jin Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China School of Computer and Software Nanjing University of Information Science and Technology Nanjing China Key Laboratory of Meteorological Disaster Ministry of Education Nanjing University of Information Science and Technology Nanjing China CMA Research Centre for Strategic Development Beijing China

DBSCAN is a density-based clustering algorithm. This algorithm clusters data of high density. The traditional DBSCAN clustering algorithm in finding the core object, will use this object as the center core, extends outwards continuously. At this point, the core objects growing, unprocessed objects are retained in memory, which will occupy a lot of memory and I/O overhead, algorithm efficiency is not high. In order to ensure the high efficiency of DBSCAN clustering algorithm, and reduce its memory footprint. In this paper, the original DBSCAN algorithm was improved, and the G-DBSCAN algorithm is proposed. G-DBSCAN algorithm reduces the number of query object as a starting point. Put the data into the grid, with the center point of the data in the grid to replace all the grid points as the algorithm input. The query object will be drastically reduced, thus improving the efficiency of the algorithm, reduces the memory footprint. In order to make the G-DBSCAN algorithm can adapt to large data processing, we will parallelize the G-DBSCAN algorithm, and combining it with Map Reduce framework. The results prove that G-DBSCAN and MRG-DBSCAN algorithm are feasible and effective. © 2015 SERSC.

关键词： Cluster analysis

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