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IEEE Asia Pacific Conference on Wireless and Mobile

作者： Prasan Kumar Sahoo Cheng-Cheng Chien Ming-Jer Chiang Shih-Lin Wu Dept. of Computer Science and Information Engineering Chang Gung University Kwei-Shan Taiwan ROC Dept. of Electrical Engineering Chang Gung University Kwei-Shan Taiwan ROC

In vehicular ad hoc networks (VANET), accidents or traffic congestion occurs due to driver behavior and change of lanes. Besides, people in the car may like to share some data such as games, music, and other information when they drive through the highways. Network services and road safety for the vehicles can be provided by the VANET. In IEEE 1609.4 standard, the channel application is divided into control and service channels, which is static. Due to static nature of the channel interval, transmission of safety and non-safety data cannot be handled efficiently. Though road accidents are normal, it may not occur more frequently and therefore the control channel used for broadcasting the safety message cannot be use efficiently. It will cause the wastage of channel due to fixed control channel and services channel intervals. In this paper, our goal is to increase the driving safety, prevention of accidents and efficient utilization of channels by adjusting the control and service channel intervals dynamically. Hence, we propose here a dynamic channel adjustment protocol based on IEEE 1609.4 standard that can adjust the control and service channel to transmit the message efficiently. Simulation results of our protocol shows that it can outperform the standard in terms of number of dropped packets and idle time for different number of nodes within the communication range.

关键词： Vehicles Safety Standards Protocols Vehicular ad hoc networks Vehicle dynamics Synchronization

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Data driven mobile commerce intelligence: With real-time advanced inexpensive network computing

Data driven mobile commerce intelligence: With real-time adv...

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International Conference on Data science & engineering (ICDSE)

作者： K. Rajasekhar Niraj Upadhayaya Dept of Electronics and Information Technology GoI Hyderabad India Dept. Computer Science and Engineering J.B Institute of Engineering & Technology Hyderabad India

The present data driven business intelligent systems and associated technologies and protocols are not suitable for agri-business. Distribution of data, poor infrastructure, lower e-readiness and complexity of agribusiness problems pose special challenges for creating and managing data driven agri-business intelligence. A Novel RAIN computing based framework to provide data driven mobile commerce intelligence for agri-businessmen along with a case study was presented in this article.

关键词： Mobile communication Rain Business Agriculture Databases Mobile handsets Real-time systems

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A Network Performance Based Data Placement Policy in Distributed Data-Intensive Applications

A Network Performance Based Data Placement Policy in Distrib...

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International Conference on computer and information Technology (CIT)

作者： Dawei Xu Xianglin Miao Peng Hu Zhongzhi Luan Dept. of Computer Science and Information Management Xi’ an Jiaotong University City College Xi'an China Sch. of Computer Science and Engineering Beihang University Beijing China

ISBN: (纸本)9781479962402

Data Placement Policy is a key factor to the performance of distributed data-intensive applications. Usually placing massive data sets efficiently can improve user experience of data-intensive scientific applications under large scale distributed environments. In distributed file systems and distributed storage systems, it focused on the number of redundant data to keep data available all the time. In this paper, we improve the performance of applications by making the correlation of pure network performance measurements with the end-to-end data placement performance. By modeling massive data and adjusting network measurement system, a network performance based data placement policy is introduced. Under this policy, we can make the massive data not only more available, but also efficient.

关键词： Distributed databases Probes Data models File systems Internet Educational institutions Monitoring

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A hybrid tracking system for ZigBee WSNs

A hybrid tracking system for ZigBee WSNs

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International Conference on computer science and information Technology (CSIT)

作者： Tareq Alhmiedat Firas Omar Anas Abu Taleb Dept. of Information Technology Tabuk University Tabuk Saudi Arabia Dept. of Software Engineering Zarqa University Zarqa Jordan Dept. of Computer Science Isra University Amman Jordan

Target localization and tracking problems in Wireless Sensor Networks (WSNs) have received considerable attention recently, driven by the need to achieve high localization accuracy, with the minimum cost possible. A wide range of proposed approaches regarding the localization area have emerged, however most of them suffer from either requiring an extra sensor, high power consumption, inaccessible indoors, or offer high localization error. This paper presents a research and development of a hybrid WSN tracking system using the Received Signal Strength Indicator (RSSI) and the inertial system. The proposed system is an efficient indoors, where it offers reasonable localization accuracy (0.1 - 0.7) meters, and achieves low power consumption. A number of real experiments have been conducted to test the efficiency of the proposed system using XBee modules.

关键词： Wireless sensor networks Zigbee Target tracking Mobile communication Accuracy Inertial navigation Robot sensing systems

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Spectral-Based Contractible Parallel Coordinates

Spectral-Based Contractible Parallel Coordinates

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International Conference on information Visualisation (IV)

作者： Koto Nohno Hsiang-Yun Wu Kazuho Watanabe Shigeo Takahashi Issei Fujishiro Graduate School of Frontier Sciences The University of Tokyo Chiba Japan Graduate School of Information Science and Technology The University of Tokyo Tokyo Japan Dept. of Computer Science and Engineering Toyohashi University of Technology Aichi Japan Dept. of Information and Computer Science Keio University Kanagawa Japan

Parallel coordinates is well-known as a popular tool for visualizing the underlying relationships among variables in high-dimension datasets. However, this representation still suffers from visual clutter arising from intersections among poly line plots especially when the number of data samples and their associated dimension become high. This paper presents a method of alleviating such visual clutter by contracting multiple axes through the analysis of correlation between every pair of variables. In this method, we first construct a graph by connecting axis nodes with an edge weighted by data correlation between the corresponding pair of dimensions, and then reorder the multiple axes by projecting the nodes onto the primary axis obtained through the spectral graph analysis. This allows us to compose a dendrogram tree by recursively merging a pair of the closest axes one by one. Our visualization platform helps the visual interpretation of such axis contraction by plotting the principal component of each data sample along the composite axis. Smooth animation of the associated axis contraction and expansion has also been implemented to enhance the visual readability of behavior inherent in the given high-dimensional datasets.

关键词： Correlation Visualization Pairwise error probability Clutter Data visualization Merging Educational institutions

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Web information mining and decision support platform for the modern service industry 52

Web information mining and decision support platform for the...

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52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014

作者： Li, Binyang Zhou, Lanjun Wei, Zhongyu Wong, Kam-Fai Xu, Ruifeng Xia, Yunqing Dept. of Information Science and Technology University of International Relations China Dept. of Systems Engineering and Engineering Management The Chinese University of Hong Kong N.T. Shatin Hong Kong MoE Key Laboratory of High Confidence Software Technologies China Shenzhen Research Institute The Chinese University of Hong Kong Harbin Institute of Technology Shenzhen Graduate School Shenzhen China Department of Computer Science and Technology TNList Tsinghua University China

ISBN: (纸本)9781941643006

This demonstration presents an intelligent information platform MODEST. MODEST will provide enterprises with the services of retrieving news from websites, extracting commercial information, exploring customers' opinions, and analyzing collaborative/competitive social networks. In this way, enterprises can improve the competitive abilities and facilitate potential collaboration activities. At the meanwhile, MODEST can also help governments to acquire information about one single company or the entire board timely, and make prompt strategies for better support. Currently, MODEST is applied to the pillar industries of Hong Kong, including innovative finance, modem logistics, information technology, etc. © 2014 Association for Computational Linguistics.

关键词： Decision support systems

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Guided dept. Upsampling via a Cosparse Analysis Model

Guided Depth Upsampling via a Cosparse Analysis Model

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IEEE computer Society Conference on computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Xiaojin Gong Jianqiang Ren Baisheng Lai Chaohua Yan Hui Qian Dept. of Information Science and Electronic Engineering Zhejiang University Hangzhou Zhejiang China College of Computer Science Zhejiang University Hangzhou Zhejiang China

This paper proposes a new approach to upsample dept. maps when aligned high-resolution color images are given. Such a task is referred to as guided dept. upsampling in our work. We formulate this problem based on the recently developed sparse representation analysis models. More specifically, we exploit the cosparsity of analytic analysis operators performed on a dept. map, together with data fidelity and color guided smoothness constraints for upsampling. The formulated problem is solved by the greedy analysis pursuit algorithm. Since our approach relies on the analytic operators such as the Wavelet transforms and the finite difference operators, it does not require any training data but a single dept.-color image pair. A variety of experiments have been conducted on both synthetic and real data. Experimental results demonstrate that our approach outperforms the specialized state-of-the-art algorithms.

关键词： Analytical models Image color analysis Image resolution Color Algorithm design and analysis Image reconstruction Image edge detection

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Adaptive neurofuzzy system for brain tumor

Adaptive neurofuzzy system for brain tumor

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Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH), Innovative Applications of

作者： Shashank Bhardwaj Niraj Singhal Neeraj Gupta Dept. of Computer Science and Information Technology Shobhit University Meerut India Electrical & Electronics Engineering Krishna Institute of Engineering and Technology Ghaziabad India

This paper emphasizes on brain tumor detection and hereby minimizing the deviation of target value and actual value using back-propagation algorithm. In this paper, a structure of adaptive system is proposed with the help of Adaptive neurofuzzy inference system (ANFIS) for diagnosis of brain tumor. Investigation of brain tumor is performed based on predefined rules. Investigation of brain tumor by the proposed system is illustrated and good performance is achieved. In this paper, the prototype consisting of six symptoms of brain tumor and using different rules have been explained. The behavioral pattern of EEG with normal and abnormal activities has also been shown.

关键词： Tumors Fuzzy logic Brain modeling Diseases Testing Training Prototypes

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A Framework for Harmonizing Sensor Data to Support Embedded Health Assessment

A Framework for Harmonizing Sensor Data to Support Embedded ...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Marjorie Skubic Holly Jimison James Keller Mihail Popescu Marilyn Rantz Jeff Kaye Misha Pavel Electrical & Computer Engineering Dept. University of Missouri College of Computer & Information Science Northeastern University Health Management & Informatics Dept. University of Missouri Sinclair School of Nursing University of Missouri Oregon Health & Science University

ISBN: (纸本)9781424479276

The use of in-home and mobile sensing is likely to be a key component of future care and has recently been studied by many research groups world-wide. Researchers have shown that embedded sensors can be used for health assessment such as early illness detection and the management of chronic health conditions. However, research collaboration and data sharing have been hampered by disparate sets of sensors and data collection methods. To date, there have been no studies to investigate common measures that can be used across multiple sites with different types of sensors, which would facilitate large scale studies and reuse of existing datasets. In this paper, we propose a framework for harmonizing heterogeneous sensor data through an intermediate layer, the Conceptual Sensor, which maps physical measures to clinical space. Examples are included for sleep quality and ambulatory physical function.

关键词： Robot sensing systems Legged locomotion Uncertainty Radar Biomedical monitoring Standards

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Survey on video analysis of human walking motion

International Journal of Signal Processing, Image Processing...

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International Journal of Signal Processing, Image Processing and Pattern Recognition 2014年第3期7卷 99-122页

作者： Nissi Paul, S. Jayanta Singh, Y. Dept. Computer Science Engineering and information Technology Don Boco College of Engineering and Technology Assam Don Bosco University Guwahati Assam India

In computer vision related applications, video analysis of human walking motion is currently one of the most active research topics. The task of analyzing human walking can be divided into three distinct subtasks - human detection or segmentation, motion tracking and walking pose analysis. Typically, the analysis of the human walking starts with the extraction of motion information, detection of the presence of humans in the sequences of frames and then followed by analysis of events related to walking. This paper presents a survey of different methodologies used for human walking motion analysis, approaches used for human detection or segmentation, various tracking methods, approaches for pose estimation and pose analysis. The common data sets available for building robust, automatic and intelligent systems to understand "walking" motion are also included. Finally, uses of unsupervised techniques for analysing human walking are highlighted. Human walking motion is a subset of a broad topic of human motion analysis. © 2014 SERSC.

关键词： Surveys

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