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Using bi-clustering algorithm for analyzing online users activity in a virtual campus

Using bi-clustering algorithm for analyzing online users act...

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2nd International Conference on Intelligent Networking and Collaborative Systems, INCOS 2010

作者： Xhafa, Fatos Caballé, Santi Barolli, Leonard Molina, Alberto Miho, Rozeta Dept. of Languages and Informatics Systems Technical University of Catalonia Spain Dept. of Computer Sci. Multimedia and Telecommunication Open University of Catalonia Spain Dept. of Information and Communication Engineering Fukuoka Institute of Technology Fukuoka Japan Faculty of Information Technologies Technical University of Tirana Albania

ISBN: (纸本)9780769542782

Data mining algorithms have been proved to be useful for the processing of large data sets in order to extract relevant information and knowledge. Such algorithms are also important for analyzing data collected from the users' activity users. One family of such data analysis is that of mining of log files of online applications that register the actions of online users during long periods of time. A relevant objective in this case is to study the behavior of online users and feedback the design processes of online applications to provide better usability and adaption to users' preferences. The context of this work is that of a virtual campus in which thousands of students and tutors carry out the learning and teaching activity using online applications. The information stored in log files of virtual campuses tend to be large, complex and heterogeneous in nature. Hence, their mining requires both efficient and intelligent processing and analysis of user interaction data during long-term learning activities. In this paper, we present a bi-clustering algorithm for processing large log data sets from the online daily activity of students in a real virtual campus. Our approach is useful to extract relevant knowledge about user activity such as navigation patterns, activities performed as well as to study time parameters related to such activities. The extracted information can be useful not only to students and tutors to stimulate and improve their experience when interacting with the system but also to the designers and developers of the virtual campus in order to better support the online teaching and learning. © 2010 IEEE.

关键词： Clustering algorithms

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A fuzzy inference system to determine the number of clones in the clonal selection algorithm

A fuzzy inference system to determine the number of clones i...

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World Congress on Nature & Biologically Inspired Computing (NaBIC)

作者： Luiz Antonio Carraro Leandro Nunes de Castro Angelita Maria de Ré Computer and Informatics Faculty & Graduate Program in Electrical Engineering Mackenzie University São Paulo Brazil Computer Science Department State University of West-Center Parana Guarapuava Brazil

Artificial Immune Systems (AISs) are composed of techniques inspired by immunology. The clonal selection principle ensures the organism adaptation to fight invading antigens by an immune response activated by the binding of antigens and antibodies. As an immune response can be elicited even when the binding between an antigen and an antibody is not perfect, an approximate binding might suffice, and a Fuzzy Logic mechanism might be the most appropriate mechanism to control such process. This paper presents a novel hybrid model based on concepts of Immune and Fuzzy Systems with applications to pattern recognition problems. The preliminary results obtained here suggest the proposed model is a promising pattern recognition tool.

关键词： Variable speed drives Animals

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Nonlinear photonic pre-processing Bi-spectrum optical receivers for long haul optically amplified transmission systems

Nonlinear photonic pre-processing Bi-spectrum optical receiv...

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12th IEEE International Conference on Communication Systems 2010, ICCS 2010

作者： Binh, Le Nguyen Nguyen, Nhan D. Firus, Martin Mutabazi, Steve Van Liet, Dang Department of Electrical and Computer Systems Engineering Monash University P.O. Box 35 Clayton VIC 3800 Australia Ausanda Communications Pty. Ltd. 55 Collins Street Melbourne VIC 3000 Australia Department of Physics and Informatics Faculty of Physics and Engineering Physics University of Science Ho Chi Minh City Viet Nam

ISBN: (纸本)9781424470068

The high order spectrum (HOS) technique is proposed as a non linear (NL) signal processing technique for digital optical receiver system for long haul optically amplified fiber transmission systems. The optical receivers employing higher order spectral photonic pre-processor and VLSI electronic system for the electronic decoding and evaluation of the bit error rate of the transmission system. A photonic signal pre-processing system is developed to generate the triple correlation via the third harmonic conversion in a NL optical waveguide is employed as the photonic pre-processor to generate the essential part of a triple correlator. The performance of an optical receiver incorporating the HOS processor is given for long haul phase modulated fiber transmission. © 2010 IEEE.

关键词： Light transmission

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Analysis of signal propagation in 1-D CNNs with the antisymmetric template

Analysis of signal propagation in 1-D CNNs with the antisymm...

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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： Norikazu Takahashi Tetsuo Nishi Hajime Hara Department of Informatics Kyushu University Fukuoka Japan Faculty of Science and Engineering Waseda University Tokyo Japan Department of Electronics and Computer Engineering Hiroshima Institute of Technology Hiroshima Japan

ISBN: (纸本)9781424466795;9781424466788

This paper studies some fundamental properties on signal propagation in one-dimensional cellular neural networks with the antisymmetric template under the assumption that the initial output has only one connected component. A new sufficient condition for the component to propagate without attenuation is derived through theoretical analysis. It is also proved that under the same condition the final output is a black-and-white image having only one black at the right-most pixel, which means that the network can perform connected component detection when the input image has only one connected component.

关键词： Signal analysis Cellular neural networks Pixel Charge coupled devices Sufficient conditions Application software Attenuation Cellular networks informatics computer networks

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dAUTObase: Mining gems on autoimmune diseases utilizing web visualization technologies

dAUTObase: Mining gems on autoimmune diseases utilizing web ...

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IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)

作者： Dimitris I. Antoniou Marianthi A. Georgitsi Vassiliki A. Gkantouna George P. Patrinos Konstantinos A. Poulas Athanasios K. Tsakalidis Giannis E. Tzimas Emmanouil S. Viennas Department of Computer Engineering and Informatics Faculty of Engineering University of Patras Patras Greece Department of Pharmacy School of Health Sciences University of Patras Patras Greece Department of Applied Informatics in Management & Finance Technological Educational Institute of Messolonghi Messolonghi Greece

An autoimmune disorder is a condition that occurs when the immune system mistakenly attacks and destroys healthy body parts. The epidemiology of these diseases is a matter of study and discussion, with many published results worldwide. We have critically collected more than 100 publications, analyzing autoimmune diseases' frequencies in various populations and ethnic groups. Simultaneously, we developed a web application in order to host the collected data. By utilizing Microsoft Silverlight technology, we have built a multimedia web frontend, in order to support a high level visualization of the data and the mining process. In parallel we continue the data mining process and the update of our database.

关键词： Diseases Optimization Visual databases HTML Biology Visualization

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A new watershed algorithm for protein spot detection in 2DGE images using the notion of fuzzy relations

A new watershed algorithm for protein spot detection in 2DGE...

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International Conference on computer Technology and Development (ICCTD)

作者： Shaheera Rashwan Talaat Faheem Amany Sarhan Bayumy A.B. Youssef Informatics Research Institute Mubarak City of Science and Technology Alexandria Egypt Computer Science and Automatic Control Department Faculty of Engineering Tanta University Tanta Egypt

An important issue in the analysis of two-dimensional electrophoresis images is the detection and quantification of protein spots. The main challenges in the segmentation of 2DGE images are to separate overlapping protein spots correctly and to find the abundance of weak protein spots. To enable comparison of protein patterns between different samples, it is necessary to match the patterns so that homologous spots are identified. In this paper we describe a new robust technique to segment and model the different spots present in the gels. The watershed segmentation algorithm is modified to handle the problem of over segmentation by initially partitioning the image to mosaic regions using the composition of fuzzy relations. The experimental results showed the effectiveness of the proposed algorithm to overcome the over segmentation problem associated with the available algorithms.

关键词： Image segmentation Zinc Databases Pixel

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Shift to Cyber-I: Reexamining Personalized Pervasive Learning

Shift to Cyber-I: Reexamining Personalized Pervasive Learnin...

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IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom) Green Computing and Communications (GreenCom)

作者： Neil Y. Yen Jianhua Ma Runhe Huang Qun Jin Timothy K. Shih Department of Human Informatics & Cognitive Sciences Waseda University Saitama Japan Faculty of Computer and Information Sciences Hosei University Tokyo Japan Department of Computer Science & Information Engineering National Central University Taoyuan Taiwan

Recently, there have been lots of researches on how to provide personalized services to different users according to their personal characters, needs, situations, contexts and so on. Such personalized services are often based on users' profiles provided by the users in the beginning, and users' records or experiences in using corresponding systems in certain periods. However, different systems or terminals collect user information independently and cannot share the user's personal information collected by these different systems/terminals. As a result, each system can only utilize the limited information collected by the system itself to provide services or recommendations, and it thus cannot meet what users' needs in varied situations across the different systems/terminals. Therefore, it is still an open issue on how to gather, share and utilize various kinds of personal information to effective personalized services in right time, right place and right means to users. In this paper, a case study for personalized pervasive learning is discussed as one typical application of the concept of Cyber-I, an individual's counterpart on the cyberspace. The Cyber-I aims to provide a better environment for users to obtain what they may really need on the Web, and it can be considered as an innovated possibility of web usage scenario in the near future. Our case study using pervasive devices (iPad, cell phone, and laptop) for learning issues can be regarded as the best practice to support the proposed Cyber-I.

关键词： Humans Uninterruptible power systems Context Internet Cellular phones Mirrors Portable computers

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Design of visual based-FPGA Ping-pang Game with Multi-Models

Design of visual based-FPGA Ping-pang Game with Multi-Models

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2010 2nd Pacific-Asia Conference on Circuits, Communications and System, PACCS 2010

作者： Zhang, Guoping Xie, Mande Faculty of Informatics and Electronics Zhejiang Sci-Tech University Hangzhou Zhejiang 310018 China College of Computer and Information Engineering Zhejiang Gongshang University Hangzhou Zhejiang 310018 China

ISBN: (纸本)9781424479689

With the continuous development of micro-electronic industry, FPGA is playing a more and more important role in the modern digital circuit design. From the simple interface circuit to the complex state machines, even the SOC, the importance of FPGA chips has not be ignored. This paper designs and implements a based-FPG A Ping-Pang game system with the Top-Down design method and EDA technologies. The game simulates the daily life ping-pang game and its rules. It uses the PS/2 keyboard to operate the game, uses the VGA monitor to display, and uses speakers as the audio output. It has two game modes: "Robot Mode" and "Double Mode" After the design and implement of system hardware and software are introduced in detail, some run examples are shown. These examples show our system can correctly run in "Robot Mode" and "Double Mode". © 2010 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Evaluating credibility of web information 10

Evaluating credibility of web information

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4th International Conference on Uniquitous Information Management and Communication, ICUIMC'10

作者： Tanaka, Katsumi Ohshima, Hiroaki Jatowt, Adam Nakamura, Satoshi Yamamoto, Yusuke Sumiya, Kazutoshi Lee, Ryong Kitayama, Daisuke Yumoto, Takayuki Kawai, Yukiko Zhang, Jianwei Nakajima, Shinsuke Inagaki, Yoichi Graduate School of Informatics Kyoto University Yoshida Honmachi Sakyo Kyoto 606-8501 Japan School of Human Science and Environment University of Hyogo Honmachi Shinzaike Himeji 670-0092 Japan Faculty of Engineering University of Hyogo Shosha 2167 Himeji 671-2280 Japan Faculty of Computer Science and Engineering Kyoto Sangyo University Motoyama Kamigamo Kita-KuKyoto-City 603-8555 Japan Kizasi Company Inc. Hakozaki Nihon-bashi Chuo-ku Tokyo 103-0015 Japan

ISBN: (纸本)9781605588933

We describe a new concept and method for evaluating the Web information credibility. The quality control of information (text, image, video etc.) on the Web is generally insufficient due to low publishing barriers. As a result, there is a large amount of mistaken and unreliable information on the Web that can have detrimental effects on users. This calls for technology that facilitates the judging of the credibility (expertise and trustworthiness) of Web content and the accuracy of the information that users encounter on the Web. Such technology should be able to handle a wide range of tasks: extracting several credibility-related features from the target Web content, extracting reputation-related information for the target Web content, such as hyperlinks and social bookmarks and evaluating its distribution, and evaluating features of the target content authors. We propose and describe methodologies of analyzing information credibility of Web information: (1) content analysis, (2) social support analysis and (3) author analysis. We overview our recent research activities on Web information credibility evaluation based on this methodologies. © 2010 ACM.

关键词： Quality control

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Chattering Analysis of Time-Delayed Second-Order Sliding Mode Control Systems Using Poincare Map

Chattering Analysis of Time-Delayed Second-Order Sliding Mod...

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2010 49th IEEE Conference on Decision and Control

作者： Xiangjun Li Xinghuo Yu Qinglong Han School of Electrical and Computer Engineering RMIT University Melbourne VIC 3001 Australia Faculty of Arts Business Informatics and Education Central Queensland University Rockhampton QLD 4702 Australia

ISBN: (纸本)9781424477456

In this paper, chattering in a time-delayed second order sliding mode control (2-SMC) system is analyzed using the Poincare map method. Convergence of the system under arbitrary time-delay is proved. The switching patterns are explored. The existence and uniqueness of the periodic orbit are shown. Simulations are done to support the theoretical results.

关键词： CHATTER Variable structure systems PERIODIC ORBITS uniqueness maps simulating

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