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February 30,2014
Volume 7,Issue 4
Pages -
Subject Area:Basic Subject of Information Science and System Science,Computer Applications,Computer Engineering,Computer Image Processing,Computing Neural Network

Title: IDEF0-C modeling method based on IDEF0

Authors: HUANG Yinqiang, YANG Mingyu
PP: 391-397
Abstract: At first, this paper briefly introduces the IDEF0 (integrated computer aided manufacturing definition 0) method, and then elaborates the IDEF0-C (IDEF0-cost) method which joins the cost information box and the IDEF0 method. According to the level of the detail, IDEF0-C can be divided into IDEF0-CⅠ, IDEF0-CⅡ, IDEF0-C Ⅲ. IDEF0-CⅠ module describes the total cost of module. Further, IDEF0-C Ⅱ decomposes the IDEF0-C Ⅰ modules into a single operation cost level. IDEF0-C Ⅲ is more perfect, and it also analysizes the information transmission cost. This research provides a theoretical foundation for modeling and analysis based on the cost of IDEF0, and develops the corresponding rules, which has great significance for the analysis and optimization of enterprise cost.
Keywords: system modeling; IDEF0; IDEF0-C; information; cost analysis; systems analysis

Title: Fusion identification method based on pixels and texture analysis of crowd density

Authors: DENG Lin, LIU Yinghao, JIA Peiyang, ZHANG Xuebo
PP: 383-390
Abstract: In view of the surveillance video of the middle and low density of population, the method based on pixels for people was used to get the foreground image after image analysis of the total image pixels and edge pixels. For high density crowd in surveillance video, we adopted the method of texture analysis from the perspective of statistics, and extracted the texture features based on the gray level co-occurrence matrix, then normalized the results. Then, we used the assessment method of fusion to determine low or high density based on foreground pixel proportion in the whole background pixels of the current frame image. Finally, because of the positive correlation among the foreground image pixels, edge pixels and population density, and the linear correlation between texture features and population density, we used the method of least squares respectively to get the crowd density curves in middle, low and high density of population, and realized the estimation for different population density with higher accuracy.
Keywords: basic subject of information science and system science; crowd monitoring; crowd density estimating; pixel method; gray level co-occurrence matrix; the least squares method

Title: Link budget analysis on GPS receiver radio frequency module

Authors: WU Zhongxiang, LIU Yu
PP: 375-382
Abstract: Based on Friis formula, and combining with the conception of noise figure and power gain of an amplifier or a filter, this paper gives a detailed discussion on the changes of signal and noise power in a GPS receiver radio frequency (RF) module. By illustrating the RF module link budget schematic, this article demonstrates the impact from the link budget on the overall performance of the GPS receiver. Furthermore, this article analyzes the various factors that affect the performance of RF module link budget, and discusses how to accommodate the proposed link budget algorithm according to the received satellite signal dynamic range. Finally, recommendations are given accordingly: when designing the satellite communication system, we should pay particular attention to the noise and amplification performance of the first stage of the RF module.
Keywords: basic subject of information science and system science; satellite communication receiver; radio frequency module; link budget

Title: An auxiliary platform for teaching communication based on GSM

Authors: LIU Rutong, WANG Guojuan, JIN Jidong
PP: 370-374
Abstract: For in the present ubiquitous communication difficulties between teachers and students, the short message service auxiliary platform for teaching communication based on global system for mobile communications (GSM) is proposed and the overall system design is completed. Through the collection of problems that may arise between teachers and students, the teaching auxiliary platform software is designed for communication between teachers and students. The software uses the network coverage of GSM and convenience of short message service communication to make the communication between teachers and students convenient. A number of experimental tests show that the system can achieve the desired objectives.
Keywords: computer application; global system for mobile communications module; serial port communication; exchange platform

Title: Motion retrieval method based on key features

Authors: HUANG Tianyu
PP: 363-369
Abstract: In order to obtain the rapid motion retrieval, a fast motion retrieval method based on key motion features is proposed. The method applies the spatio-temporal Isomap on effective aspects of motion data to yield a reduced low-dimension space, where the main characteristics of motion are kept. The lower complexity of the embedded motion curve allows a simple iterative method which locates the key-poses of the original motion. The paper presents a dynamic method of constructing a binary keyfeature splitting (BKS) tree with significant points to search for a given motion example. The experiment proves that, with proper dynamic algorithm and key-pose selection in terms of spatio-temporal variations, the method can consume a small amount of pre-processing time, and achieve precise and effective retrieval.
Keywords: computer application; multimedia retrieval; motion retrieval; key motion feature; binary keyfeature splitting tree

Title: Design of rapid develop ment platform for Web application basedon code generation

Authors: CHEN Zhongju, LUO Rongrong
PP: 357-362
Abstract: Rapid development platform for Web (WebRDP) application has been designed and implemented based on the code generation technology of data driven model, which has strong generality and expansibility. The platform can complete the Web-application code and the page code, just needs developers to define basic information and related data model of business. Furthermore, the generated code has the characteristics of low coupling, high scalability, and can support dynamic addition and deletion of business table fields.The platform can also provide audit and simple process definition mechanism. The test shows that the platform can help software developers to shorten the development cycle, improve the efficiency of research, and it has been applied to practical Web system development.
Keywords: computer application; code generatation; Web development; data model

Title: EEG difference analysis of the “rock-scissor-paper” game in winning or losing cases

Authors: WEI Mengran, LUO Cong, LIU Bin, HE Lianghua
PP: 351-356
Abstract: This paper adopts real rock-scissor-paper game paradigm and is based on the competition reaction from electroencephalogram (EEG) analysis under different condition (lose, win), and the game of the brain activity of EEG signal for every frequency domain and time domain is analysized. Frequency domain analysis results show that with the increase of frequency, the brain electrical signal on the energy of the whole presents a decreasing trend, the α and β band energy are relatively similar. θ, α and β band energy under the condition of the last round of lose is significantly higher than the previous situation of winning. The time domain analysis results show that the temporal region and district have strong correlation in the process of game. The prefrontal leading role is verified in the decision-making process, and the frequency domain analysis results show that the previous round participants who losed may have a bigger desire to win in the next round of in the game. The result provides references for the brain cognitive research.
Keywords: computer application; game; electroencephalogram; frequency domain analysis; time domain analysis

Title: A lightweight adaptive push model based on transmission for point of interest

Authors: ZHANG Jianfei, ZHANG Zhaohui, LI Bo
PP: 345-350
Abstract: According to the paper structure characters and the requirement of paper rapid sharing, this paper proposes a lightweight adaptive push model based on the transmission for points of interest. The model defines the user's point of interest tree to solve the problem of the migration of user interest by filling interest points and adding time factor into the tree. By mining the user reading behaviors, the model constantly revises user's point of interest tree. At the pushing stage, the hybrid filtering pushing algorithm is used to push mixed results. This model is applied to the demonstration platform of Chinese Science Paper Online on handheld terminal services. And by the comparison with the collaborative filtering model based on educational background, the experiments show that the model can effectively meet the needs of personalized paper rapid sharing.
Keywords: computer application; adaptive push; point of interest; lightweight model; hybrid push

Title: Research on real-time webpage classification model based on the theme

Authors: MA Jianhong, ZHANG Chenguang, QIU Jiying
PP: 339-344
Abstract: In this paper, the general classification model is studied, and the inadequacies of the general model for real-time classification of the webpage is analysized. On this basis, for more suitable for real-time classification, this paper presents a classification model based on the theme. Firstly, the theme of vertical search engine crawlers is constructed through Nutch, which can crawl the webpage in all the time , so it can ensure the real-time web. Secondly, part of the pages which has nothing to do with the classification are removed by processing the crawling results of Nutch through theme denoising. In the end, the crawled webpages are classfied. The experiments show that the speed and accuracy can be improved with this model. For the requirement of big data of the webpage classification on real-time, this model can effectively optimize the input sample and save computing time.
Keywords: computer application; theme; classification; real-time classification

Title: Information mining of product comment based on product feature cluster

Authors: SU Hongqi, NIE Jinhui
PP: 332-338
Abstract: Product features and emotional tendencies in product reviews reflect the value of things. According to the deficiency of Chinese information mining, we present a product feature cluster technology and fine-grained emotion analysis technology based on the vocabulary co-occurrence. In product comments, one feature may have various of means of expression, this paper classifies the features in product comments, presents a more fine-grained emotion analysis technology different from former emotion analysis that based on sentences. In addition, reasonable processing method is presented for the features without corresponding emotion tendency.
Keywords: computer application; cluster of product features; co-occurrence; fine-grained emotion analysis; non-polar viewpoint

Title: Behavior-based identification of spammers in Sina weibo

Authors: LIN Chengfeng, CHEN Kai, ZHOU Yi, ZHOU Qu
PP: 322-331
Abstract: This paper proposed a method to identify spammers in Sina weibo based on their behavior features. We collected spammer samples using different methods such as using honeypot, using crawler and buying from online merchants. We divided spammers into three categories according to their behavior pattern: aggressive advertising, repeated duplicate reposting and aggressive following. We analyzed behavior and compared them with the legitimate users to extract features that could tell spammers from legitimate users. We built identification system with the help of machine learning toolkits. The evaluation result showed the effectiveness and accuracy of the identification system.
Keywords: computer engineering; Sina weibo; spamming behavior; spammer detection; machine learning

Title: Carotid artery intima-media thickness extraction based on Snake

Authors: WU Huihui, WU Qiong, XU Hongwei, LIU Yang, WANG Xidian, YANG Xin, DING Mingyue
PP: 314-321
Abstract: This paper proposed an automated layer extraction based on Snake (ALES) to extract ultrasound carotid intima-media thickness. After selecting the region of interest (ROI) and initializing the contour, ultrasound carotid intima was extracted by Snake while adventitia by gradient vector flow (GVF)-Snake which used gradient vector flow as its external force. Thus, the final intima and adventitia were obtained. Then, it was validated by comparing it with an improved active model approach which used a new external energy function. The validation experiment was based on ultrasound carotid images with known ground truth. The segmentation results of the two approaches were compared by calculating relative errors between ground truth and intima-media thickness (IMT) extracted by improved active model approach and ALES. It was demonstrated that the ALES approach could obtain better results to extract ultrasound carotid IMT due to its smaller relative errors.
Keywords: computer image processing; image segmentation; automated layer extraction based on Snake; carotid intima-media thickness

Title: Visual attention based on Gabor decomposition and 2D entropy

Authors: LÜ Qi, WANG Bin, ZHANG Liming
PP: 306-313
Abstract: Based on both capabilities and defects of existing models, the paper proposes a computational saliency-oriented model from the perspective of frequency domain. This model employs the mechanism of receptive field and the saliency is computed in spatial domain. A saliency map can be generated by two main steps: firstly, Gabor wavelet decomposition of the input image at different levels and orientations is used to produce the feature components, and then these components are selected and fused in the sense of 2D entropy to generate the final saliency map. It is proved that the proposed algorithm outperforms most of state-of-the-art algorithms at human fixation prediction for both psychological patterns and natural images including salient objects with arbitrary sizes. Besides, biological plausibility of Gabor filter makes our approach more reliable and adaptive to various stimuli.
Keywords: computation neural net; visual attention; extended classical receptive field; Gabor decomposition; 2D entropy

Title: Face recognition using relative gradient patterns of oriented edge magnitudes

Authors: YANG Liping, YE Hongwei
PP: 300-305
Abstract: When illumination condition changes drastically, it is difficult for pattern of oriented edge magnitude (POEM) method to acquire enough feature description information. To alleviate the issue, a relative gradient pattern of oriented edge magnitudes (RGPOEM) method is proposed in this paper. The method decomposes the relative gradient magnitude image into several sub images according to the orientations of gradient. Each of these sub images is then filtered and encoded using local binary patterns. Finally, all the encoded local binary patterns (LBP) histogram features are connected by lexicographic ordering and reduced to a low-dimensional subspace using locality preserving projections (LPP) to form a low-dimensional RGPOEM feature. Experimental results on Yale and PIE subsets indicate that RGPOEM, which inherits the superior characteristics of POEM, exhibits much robustness to illumination variance.
Keywords: pattern recognition; face recognition; feature description; relative gradient; locality preserving projections

Title: Construction of the binary affective commonsense knowledgebase and its application in text affective analysis

Authors: REN Juwei, YANG Yuan, WANG Hao, LIN Hongfei
PP: 291-299
Abstract: This paper optimized the structure of existing affective commonsense knowledgebase and expanded its scale, constructed a novel affective commonsense knowledgebase. Each common sense was expressed as a dual structure, which contained verb-object construction, subject-verb construction, affective collocation, combination of product feature and opinion word, and they were finally tagged with affective classification artificially. At last, affective analysis experiment and opinion analysis experiment were done on emotion corpus and public corpus, and the experiment results showed that the affective commonsense knowledgebase was helpful to affective analysis and opinion analysis.
Keywords: natural language processing; affective analysis; binary affective commonsense knowledgebase; affective commonsense knowledge; opinion analysis

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