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A novel community detection algorithm based on clonal selection

Journal of Computational Information Systems 2013年第5期9卷 1899-1906页

作者： Li, Xianghua Gao, Chao College of Computer and Information Science Southwest University Chongqing 400715 China Chongqing Intelligent Software and Software Engineering Laboratory Chongqing 400715 China

According to the framework of artificial immune system (AIS), this paper constructs the mapping between community detection in a complex network and AIS. Then we propose a novel community detection algorithm based on the immune clonal selection principle to govern the system. In order to detect the community structure of a network that is considered as Ag data (antigen), there are three basic elements in our algorithm: Bm data (memory B cell), APC data (antigen presenting cell) and Bc data (B cell) that containing Ab data (antibody). The affinity between Ag data and Ab data is estimated by modularity Q. Through the clonal selection, Bm data keeps the optimal solution for a network. Some real-world networks are used to compare our algorithm with some typical community detection algorithms. Experimental results show that our algorithm can obtain more scalable and accurate solution with a lower computational cost. Copyright © 2013 Binary Information Press.

关键词： Complex networks

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Social sensing enhanced time estimation for bus service

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Concurrency and Computation: Practice and Experience 2015年第15期27卷

作者： Jin Liu Juan Li Xiaohui Cui Xiaoguang Niu Xiaoping Sun Jing Zhou State Key Lab. of Software Engineering Computer School Wuhan University Wuhan China Guangxi Key Laboratory of Trusted Software Guilin University of Electronic Technology Guilin China International School of Software Wuhan University Wuhan China Computer School Wuhan University Wuhan China Key Lab of Intelligent Information Processing Institute of Computing Technology CAS Beijing China School of Computer Science Communication University of China China

The precise prediction of bus routes or the arrival time of buses for a traveler can enhance the quality of bus service. However, many social factors influence people's preferences for taking buses. These social factors may include heavy traffic cost, traffic congestion, poor air quality and so forth. Existing prediction techniques rarely consider social sensing when predicting the bus arrival time. Accordingly, this paper proposes a social sensing enhanced service for predicting bus routes, which integrates sensing ability and social networks to understand and measure the influence between social events and vehicle velocity. We focus on the analysis of two different attributions: PT service quality attributions PEA s and road condition attributions PRCA s. Both of them synthesize the social sensing in their evaluation of bus routes. PEA represents individual preferences and PRCA represents physical factors that significantly influence vehicle velocity. Bus relevant social events were further categorized into PEA events or PRCA events. PEA s of buses were scored according to the tendency of bus conditions reflected in social events. Furthermore, an artificial neural network prediction model is established to estimate the bus travel time. Copyright © 2015 John Wiley & Sons, Ltd.

关键词： social sensing in-time bus service bus route arrival time estimation

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Positional translation language model for ad-hoc information retrieval

Positional translation language model for ad-hoc information...

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18th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2014

作者： Tu, Xinhui Luo, Jing Li, Bo He, Tingting Gu, Jinguang College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China Department of Computer Science Central China Normal University Wuhan China State Key Lab. of Software Engineering Wuhan University Wuhan China

ISBN: (纸本)9783319066042

Most existing language modeling approaches are based on the term independence hypothesis. To go beyond this assumption, two main directions were investigated. The first one considers the use of the proximity features that capture the degree to which search terms appear close to each other in a document. Another one considers the use of semantic relationships between words. Previous studies have proven that these two types of information, including term proximity features and semantic relationships between words, are both useful to improve retrieval performance. Intuitionally, we can use them in combination to further improve retrieval performance. Based on this idea, this paper propose a positional translation language model to explicitly incorporate both of these two types of information under language modeling framework in a unified way. In the first step, we present a proximity-based method to estimate word-word translation probabilities. Then, we define a translation document model for each position of a document and use these document models to score the document. Experimental results on standard TREC collections show that the proposed model achieves significant improvements over the state-of-the-art models, including positional language model, and translation language models. © 2014 Springer International Publishing.

关键词： Information retrieval

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Simultaneous measurement of refractive index, temperature and strain based on core diameter mismatch and polarization-maintaining FBG

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Optoelectronics Letters 2013年第3期9卷 238-240页

作者：童峥嵘王洁玉张卫华曹晔 Key Laboratory of Film Electronics and Communication Devices and Key Laboratory of Intelligent Computing and Novel Software Technology School of Computer and Communication Engineering Tianjin University of Technology

A kind of fiber-optic sensor for simultaneous measurement of refractive index of surrounding medium, temperature and strain is described. Based on core diameter mismatch, a multimode-single mode-multimode (MSM) structure is presented. It is demonstrated that the three parameters can be measured respectively by the interference of the core mode and cladding modes excited in the single mode fiber (SMF). Then combined with a polarization-maintaining fiber Bragg grating (PMFBG) which has different sensing properties from MSM structure, three parameters are measured simultaneously. The experimental results show that PMFBG is insensitive to the refractive index and the refractive index sensitivity of the MSM structure is 96.04 nm·RIU^(-1); the temperature sensitivities of the characteristic wavelength for MSM structure and the center wavelengths of fast and slow axes for PMFBG are 0.0911 nm °C^(-1), 0.00976 nm °C^(-1) and 0.0105 nm °C^(-1), respectively; the strain sensitivities of those are -0.013 nm με^(-1), 0.012 nm με^(-1) and 0.012 nm με^(-1), respectively.

关键词：温度敏感性应变灵敏度同时测量折射率不匹配光纤光栅直径 MSM结构

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Highly birefringent photonic crystal fibers with flattened dispersion and low confinement loss

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Optoelectronics Letters 2013年第1期9卷 45-48页

作者：曹晔李荣敏童峥嵘 Key Laboratory of Film Electronics and Communication Devices Key Laboratory of Intelligent Computing and Novel Software Technology School of Computer and Communication Engineering Tianjin University of Technology

A highly birefringent index-guiding photonic crystal fiber (PCF) with flattened dispersion and low confinement loss is proposed by introducing two small air holes with the same diameter in the core area. The fundamental mode field, birefringence, confinement loss, effective mode area and dispersion characteristic of the fibers are studied by the full-vector finite element method (FEM). Simulation results show that a high birefringence with the order of 10 -3 and a low confinement loss of 0.001 dB/km are obtained at 1550 nm. Furthermore, flattened chromatic dispersion from 1450 nm to 1590 nm is obtained.

关键词：光子晶体光纤平坦色散高双折射损耗矢量有限元法气孔直径折射指数色散特性

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WEB TOPIC DETECTION USING A RANKED CLUSTERING-LIKE PATTERN ACROSS SIMILARITY CASCADES

WEB TOPIC DETECTION USING A RANKED CLUSTERING-LIKE PATTERN A...

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IEEE International Conference on Multimedia and Expo

作者： Fei Jia Junbiao Pang Weigang Zhang Guorong Li Chunjie Zhang Qingming Huang Yugui Liu School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing Key Laboratory of Multimedia and Intelligent Software Technology College of Metropolitan Transportation Beijing University of Technology School of Computer Science and Technology Harbin Institute of Technology

ISBN: (纸本)9781479947607

In multi-media and social media communities, web topic detection poses two main difficulties that conventional approaches can barely handle: 1) there are large inter-topic variations among web topics;2) supervised information is rare to identify the real topics. In this paper, we address these problems from the similarity diffusion perspective among objects on web, and present a clustering-like pattern across similarity cascades (SCs). SCs are a series of subgraphs generated by truncating a weighted graph with a set of thresholds, and then maximal cliques are used to describe the topic candidates. Poisson deconvolution is adopted to efficiently identify the real topics from these topic candidates. Experiments demonstrate that our approach outperforms the state-of-the-arts on two datasets. In addition, we report accuracy v.s. false positives per topic (FPPT) curves for performance evaluation. To our knowledge, this is the first complete evaluation of web topic detection at the topic-wise level, and it establishes a new benchmark for this problem.

关键词： Web Topic detection Maximal cliques Unsupervised ranking Poisson process Similarity cascade

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Stage diagnosis for Chronic Kidney Disease based on ultrasonography

Stage diagnosis for Chronic Kidney Disease based on ultrason...

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Chi-Jim Chen Tun-Wen Pai Hamido Fujita Chien-Hung Lee Yang-Ting Chen Kuo-Su Chen Yung-Chih Chen Department of Computer Science and Engineering National Taiwan Ocean University Keelung Taiwan Intelligent Software Systems Laboratory Iwate Prefectural University Iwate Japan Department of Nephrology Department of General Intern Chang-Gung Memorial Hospital Keelung Taiwan

ISBN: (纸本)9781479951499

A large portion of people suffer from Chronic Kidney Disease (CKD) in the world. Unfortunately, some of them don't know they have been contracted CKD until they need dialysis treatment at the end stage. Diagnosis through non-invasive ultrasonic imaging techniques become important clinical approaches for detecting CKD, and high potential or at-risk CKD patients could avoid being infected via blood test and/or reduce chances of abrupt deterioration in renal function by taking iodinated contrast medium. This research established a detection system based on computer vision and machine learning techniques for facilitating diagnosis of CKD and different stages of CKD. Novel features and support vector machine were applied for rapid detection. In this study, several evaluations on different clustered groups were performed and compared according to estimated glomerular filtration rates (GFR). In addition, the proposed system required 0.016 seconds in average for feature extraction and classification for each testing case. The results showed that the system could produce consistent diagnosis based on noninvasive ultrasonographic approaches and which could be considered as the most proper clinical diagnosis and medical treatment for CKD patients.

关键词： Kidney Acoustics Feature extraction Brightness Standards Medical services Support vector machines

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A semantic technology supported precision agriculture system: A case study for citrus fertilizing

A semantic technology supported precision agriculture system...

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6th International Conference on Knowledge Science, engineering and Management, KSEM 2013

作者： Yuan, Ye Zeng, Wei Zhang, Zili Key Laboratory of Intelligent Software and Software Engineering Southwest University Chongqing 400715 China School of Information Technology Deakin University VIC 3217 Australia

ISBN: (纸本)9783642397868

Recently Semantic Technology (ST) has been widely applied in many fields such as health care, energy, environmental science, life sciences, national intelligence, and so on. ST can represent the meaning of information explicitly, which helps machines to process and integrate existing information automatically. In this paper, we discuss how to apply ST in precision agriculture. Citrus fertilizing is chosen as an example to show how to build the related semantic knowledge base as well as the citrus disease query system. With the help of ST, the precision agriculture system can play a greater role in increasing yield of citrus and avoiding plant diseases. A general framework of decision-making support system for citrus production is also provided. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Decision making

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Mobile robot path planning based on adaptive bacterial foraging algorithm

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Journal of Central South University 2013年第12期20卷 3391-3400页

作者：梁晓丹李亮玉武继刚陈瀚宁 School of Computer Science and Software Tianjin Polytechnic University School of Mechanical and Engineering Tianjin Polytechnic University Laboratory of Information Service and Intelligent Control Shenyang Institute of AutomationChinese Academy of Sciences

The utilization of biomimicry of bacterial foraging strategy was considered to develop an adaptive control strategy for mobile robot, and a bacterial foraging approach was proposed for robot path planning. In the proposed model, robot that mimics the behavior of bacteria is able to determine an optimal collision-free path between a start and a target point in the environment surrounded by obstacles. In the simulation, two test scenarios of static environment with different number obstacles were adopted to evaluate the performance of the proposed method. Simulation results show that the robot which reflects the bacterial foraging behavior can adapt to complex environments in the planned trajectories with both satisfactory accuracy and stability.

关键词： robot path planning bacterial foraging behaviors swarm intelligence adaptation

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Study on the Structural Model of Human Pose

Study on the Structural Model of Human Pose

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2013 International Conference on intelligent Materials and Mechatronics(IMM 2013)

作者： Weihua Wang School of Software Engineering Chongqing University of Arts and Sciences Key Laboratory of Machine Vision and Intelligent Information System Chongqing University of Arts and Sciences

ISBN: (纸本)9783037859353

The analysis and understand of human behavior is broad application in the computer vision domain, modeling the human pose is one of the key technology. In order to simplify the model of the human pose and expediently describe the human pose, a lot of condition was appended to confine the process of human pose modeling or the application environments in the current research. In this paper, a new method for modeling the human pose was proposed. The human pose was modeled by the structural relation according to the physiological structural, the advantages of the model are the independent of move, the independent of scale of the human image and the dependent of view angle, it can be used to modeling the human behavior in video.

关键词： Human pose model Computer vision Structural Human behavior

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