{"title":"Model of Data Gathering and Processing on Tibetan and Uyghur Language","authors":"Yunfeng Weng, Hanxin Jia, Qing Ma","doi":"10.1109/ICINIS.2012.81","DOIUrl":"https://doi.org/10.1109/ICINIS.2012.81","url":null,"abstract":"A model of web data gathering and processing on Tibetan and Uyghur language is introduced in this paper, including page crawler, content extraction, word segmentation and frequency statistics and display. Firstly, It extracts the website's templates and use the template to extract the content and title of the web page, then the software transforms the HTML file to the XML file. The second step is to segment the content of XML file into words and to count the number of words, in order to store the statistics into database. Finally\", \"there is a web page to display the the result of the frequency statistics.","PeriodicalId":302503,"journal":{"name":"2012 Fifth International Conference on Intelligent Networks and Intelligent Systems","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130050487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Smart Home Based on the ZigBee Wireless","authors":"Liu Hua, Zhang Ji Xiang","doi":"10.1109/ICINIS.2012.48","DOIUrl":"https://doi.org/10.1109/ICINIS.2012.48","url":null,"abstract":"This article describes the smart home system bases on the ZigBee communication module\", \"which uses CC2430 chip as ZigBee wireless communication module. The host computer using the ARM embedded systems. Either through the network switches on the terminal node in the local intelligent control can also be a variety of electrical equipment via the Internet or mobile phone remote control, the operation more flexible and convenient. The system is divided into three parts: ZigBee wireless transceiver module, the remote control module and the host computer to control the processing module.","PeriodicalId":302503,"journal":{"name":"2012 Fifth International Conference on Intelligent Networks and Intelligent Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128694240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Hardware Design and Implementation of a Signal Reconstruction Algorithm Based on Compressed Sensing","authors":"Guoyan Li, Junhua Gu, Qingzeng Song, Yicai Lu, Bojun Zhou","doi":"10.1109/ICINIS.2012.9","DOIUrl":"https://doi.org/10.1109/ICINIS.2012.9","url":null,"abstract":"A fast and reliable signal reconstruction algorithm is the core part of the compressed sensing (CS) theory. As a reconstruction algorithm, interior point method has a high precision but it is time-consuming and needs large computation, so it is difficult to meet the actual needs. In view of the above problems, in this paper we propose a design for interior point method that is based on the Field Programmable Gate Array (FPGA )hardware platform, which is about the solution of linear equations that have the largest amount of computation. The array structure of the conjugate gradients (CG) coprocessor completes the main operations, and the parallel and pipeline coprocessor effectively take advantage of the inherent parallelism of the algorithm and the parallel structure of FPGA. Thus, it has greatly improved the processing speed.","PeriodicalId":302503,"journal":{"name":"2012 Fifth International Conference on Intelligent Networks and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121817814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Realization of Mutual Information Calculation on GPU for Semi-Global Stereo Matching","authors":"Bin Chen, He-ping Chen","doi":"10.1109/ICINIS.2012.14","DOIUrl":"https://doi.org/10.1109/ICINIS.2012.14","url":null,"abstract":"According to the Middlebury Stereo Database, Semi-Global Matching (SGM) is commonly regarded as the most efficient algorithm among the top-performing stereo algorithms. Recently, most effective real-time implementations of this algorithm are based on reconfigurable hardware (FPGA). However, with the development of General-Purpose computation on Graphics Processing Unit (GPGPU), an effective real-time implementation on general purpose PCs can be expected. As the major theoretical basis and the first step of Semi-Global matching algorithm, the efficiency of mutual information (MI) calculation is important for real-time application. In this paper, a realization of MI calculation on Graphics Processing Unit (GPU) is introduced. Some important optimizations according to Compute Unified Device Architecture (CUDA) are introduced in this paper.","PeriodicalId":302503,"journal":{"name":"2012 Fifth International Conference on Intelligent Networks and Intelligent Systems","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127601859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Improved Multi-objective Genetic Algorithm Based on Agent","authors":"Li Jia, Lianshuan Shi","doi":"10.1109/ICINIS.2012.50","DOIUrl":"https://doi.org/10.1109/ICINIS.2012.50","url":null,"abstract":"An improved multi-objective Genetic Algorithm based on agent is offered. In the improved algorithm, agents were co-evolution with different control parameters to increase the diversity of candidate solutions. Two kinds of crossover strategies of Arithmetic and Simulated binary (SBX) were introduced in order to complete the competition behavior of the agent, these strategies increased the choice range of the agent, and improved the search performance. To construct non-dominated set, Arena Principle (AP) was used in the process of self-learning behavior, and the clustering method was used to narrow the non-dominated set, so as to obtain the set of Pareto optimal front. The idea of the elitism retaining was used to quicken the convergence rate, and then formed the elitism of individuals, this performance was similarly to the local climbing for self-learning operation. Finally, we saved these individuals to the elitism population, several standard test functions are used to verify this improved algorithm. The results indicated that the improved Genetic Algorithm (GA) obtained good performance.","PeriodicalId":302503,"journal":{"name":"2012 Fifth International Conference on Intelligent Networks and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132604841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Efficient Adaptive Finite Element Analysis of Heterogeneous Materials Based on Centroid Material","authors":"M. Guan, Z. Xuan","doi":"10.1109/ICINIS.2012.34","DOIUrl":"https://doi.org/10.1109/ICINIS.2012.34","url":null,"abstract":"One problem with the adaptive finite element analysis is that it needs more iterations, compared with the uniformly refined mesh method, to reach the desired accuracy of the solutions, although its convergence rate is higher than that of non adaptive computing. In order to improve the efficiency of the analysis and reduce the time for computing in each iteration, we develop a simple centroid material method instead of the integral on each element in forming the element stiffness matrix. There is no time needed for the integral on each element in linear finite element method, because the centroid material is used to approximate the material of the element, and then the finite element model is simplified as one consists of elements with homogeneous material. The efficiency of the method in both computing and implementation is shown as compared with the Gauss quadrature.","PeriodicalId":302503,"journal":{"name":"2012 Fifth International Conference on Intelligent Networks and Intelligent Systems","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132622846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hadoop Based Data Processing Method and Its Application on Braille Identification","authors":"N. Li, Li-Rong Wang, Meng Zhang, Huan Zhang","doi":"10.1109/ICINIS.2012.79","DOIUrl":"https://doi.org/10.1109/ICINIS.2012.79","url":null,"abstract":"It is not so efficient to store and manage massive data with traditional distributed database architecture. Hadoop, as an open source framework, is suitable for data distributed storage and management on a group of cheap machines. Based on the research of open source frameworks of Hadoop, a kind of massive data processing model based on Hadoop is provided in this paper, and its application on Braille identification is introduced. The paper also provides a test scheme for I/O performance of this data processing model under different numbers of data node and different copy coefficient and block size. The test results show that, the model provides high efficiency for large scale of data processing.","PeriodicalId":302503,"journal":{"name":"2012 Fifth International Conference on Intelligent Networks and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129001587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Graph Grammar Based License Plate Recognition","authors":"Yuqing Song, Jianqing Liu, Dianwei Li","doi":"10.1109/ICINIS.2012.54","DOIUrl":"https://doi.org/10.1109/ICINIS.2012.54","url":null,"abstract":"Automatic license plate recognition is still a challenging problem where severe imaging conditions must be handled. As compared with other formal tools, the graph grammar model is more suitable when dealing with the severe imaging conditions. In this paper we introduce a graph grammar based method of license plate recognition. In our approach, a level set based license location process is first employed to find candidate plate locations. Then a graph grammar is applied to each candidate location to recognize the plate. The grammar consists of 3 rules. The first two rules recognize individual characters. The third rule represents the license plate layout by a graph. The plate recognition is achieved by a graph matching process.","PeriodicalId":302503,"journal":{"name":"2012 Fifth International Conference on Intelligent Networks and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129162448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on English Teaching Model Supported by Multimedia Technology","authors":"Hongxing Wang","doi":"10.1109/ICINIS.2012.10","DOIUrl":"https://doi.org/10.1109/ICINIS.2012.10","url":null,"abstract":"With the information technology gradually getting into people's lives, the multimedia technology has brought the convenience of high speed and high efficiency for our life, study and work. This paper firstly expounds the concepts of multimedia technology, then, it puts forward the construction of the model, including putting forward the model, elements, functions, and so on, finally, synthesized and summarized the new model made. At present the multimedia technology has made the corresponding development in the English teaching in research and application, but it still has a long way to go from the real widely used in English subject.","PeriodicalId":302503,"journal":{"name":"2012 Fifth International Conference on Intelligent Networks and Intelligent Systems","volume":"47 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116015125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research of Feature Extraction Method for Stroke Patients' Surface Electromyography","authors":"Ren Liye, W. Xiaoli, Wang Xiao","doi":"10.1109/ICINIS.2012.78","DOIUrl":"https://doi.org/10.1109/ICINIS.2012.78","url":null,"abstract":"Surface electromyography is a one-dimensional time series signal of neuromuscular system recorded from skin surface. It can reflect the states of muscle activity and muscle function accurately. All the subjects had to perform dynamic contraction for stroke's knee flexion and extension in experiment. The surface electromyography were collected by surface electrodes and then processed by linear time and frequency-domain method. SEMG characteristics extraction has been done and an eigenvector space of mode recognition was built, and lies the theoretical and technical foundation for stroke patients' rehabilitation training.","PeriodicalId":302503,"journal":{"name":"2012 Fifth International Conference on Intelligent Networks and Intelligent Systems","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127041169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}