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Intelligent ontological multi-agent for healthy diet planning

Intelligent ontological multi-agent for healthy diet plannin...

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Mei-Hui Wang Chang-Shing Lee Kuang-Liang Hsieh Chin-Yuan Hsu Chong-Ching Chang Department of Computer Science and Information Engineering National University of Tainan Taiwan Graduate Institute of System Engineering National University of Tainan Taiwan Institute of Information Industry Innovative Digitech-Enabled Applications and Services Institute Taiwan

Good eating habits can make human beings to live in a healthy lifestyle. When a person constantly eats too much or too little, it will have a high risk of causing a disease for him. Therefore, developing healthy and balanced eating habits is important for most people to stay away from diseases. This study proposes an intelligent healthy diet planning multi-agent (IHDPMA), including a personal profile agent, a nutrition facts analysis agent, a knowledge analysis agent, a discovery agent, a fuzzy inference agent, and a semantic generation agent for healthy diet planning. The IHDPMA provides a semantic analysis of healthy diet status for people based on the pre-constructed ontology by domains experts and results of fuzzy inference. With the generated semantic analysis, people can get healthy information about what they eat and make it easier to eat a balanced and healthy diet. The experimental platform has been constructed to test the performance of the IHDPMA. The results indicate that the IHDPMA can effectively work for healthy diet planning.

关键词： Ontologies Intelligent agent Multiagent systems Diseases Web services Medical services Humans Information analysis Testing Food technology

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Multi-objective Pareto Genetic Algorithms Using Fast Elite Updating

Multi-objective Pareto Genetic Algorithms Using Fast Elite U...

引用

2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)

作者： Guanqi GUO Zhumei TAN Guanci YANG College of Information and Communication Engineering Hunan Institute of Science and TechnologyYueya College of Mechnism Engineering Hunan Institute of Science and TechnologyYueyang414006P.R.China Chengdu Institute of Computer Applications of Chinese Academy of Science Chengdu610041P.R.China

ISBN: (纸本)9781424447749

This paper investigates the multi-objective optimization Pareto genetic algorithms (MOPGA) for searching alternative non-dominated Pareto-optimal solutions. A kind of niching approach using clustering crowding and fast elite updating is designed to maintain population diversity and uniform distribution of non-dominated solutions. The time complexity analysis shows clustering crowding and fast elite updating is a cost-efficient niching method. The simulation optimization on various multi-objective 0/1 knapsack problems shows MOPGA is capable of approximating to Pareto front evenly and cost efficiently, and the convergence rate and the distribution uniformity are consistently superior to that of the strength Pareto evolutionary approach (SPEA).

关键词： elites knapsack problems Genetic Algorithm (GA) Uniform distribution Fasting Crowding Complexity Analysis Approximate

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A Framework for Personalized Health Trend Analysis

A Framework for Personalized Health Trend Analysis

引用

International Symposium on Parallel Architectures, Algorithms and Networks (ISPAN)

作者： Guo-Cheng Lan Chao-Hui Lee Jin-Shang Wu Huan-Chung Li Shing-Hua Ho Vincent S. Tseng Department of Computer Science and Information Engineering National Cheng Kung University Tainan County Taiwan Department of Family Medicine National Cheng Kung University Tainan County Taiwan Institute for Information Industry Innovative Digitech-Enabled Applications and Services Institute Taipei Taiwan Institute for Information Industry Innovative Digitech-Enabled Applications and Services Institute Kaohsiung Taiwan Institute of Computer Science and Information Engineering and Institute of Medical Informatics National Cheng Kung University Tainan County Taiwan

In recent years, with the development of the economy and the advancement of the national income, personal healthcare has been becoming an important issue. Since the health examination can help people understand their own health conditions clearly, many people make regularly health examinations to avoid missing the best treatment time. So the health examination is an important role for people's health statuses. However, people only get aware of the result of health examination report but they are not clear whether their health trends are high-risk or not. In this paper, we proposed a novel framework for discovering health risk patterns and the relationships between the patterns and a target disease by mining historic health examination data. Moreover, a prediction model for the target disease can be constructed effectively by the discovered information. Through the framework, the physicians can early provide health alerts and medical treatments for people to effectively increase the quality of disease prevention.

关键词： Cardiac disease Data mining Cardiovascular diseases Information analysis computer science Biomedical engineering Application software computer industry Medical services Predictive models

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Towards Text-based Emotion Detection A Survey and Possible Improvements

Towards Text-based Emotion Detection A Survey and Possible I...

引用

International Conference on Information Management and engineering, ICIME

作者： Edward Chao-Chun Kao Chun-Chieh Liu Ting-Hao Yang Chang-Tai Hsieh Von-Wun Soo Institute of Information Systems and Applications National Tsing Hua University Hsinchu Taiwan Department of Computer Science National Tsing Hua University Hsinchu Taiwan Institute for Information Industry Taipei Taiwan Department of Computer Science and Information Engineering National University of Kaohsiung Kaohsiung Taiwan

This paper presents an overview of the emerging field of emotion detection from text and describes the current generation of detection methods that are usually divided into the following three main categories: keyword-based, learning-based, and hybrid recommendation approaches. Limitations of current detection methods are examined, and possible solutions are suggested to improve emotion detection capabilities in practical systems, which emphasize on human-computer interactions. These solutions include extracting keywords with semantic analysis, and ontology design with emotion theory of appraisal. Furthermore, a case-based reasoning architecture is proposed to combine these solutions.

关键词： Biology computing computer science Psychology Blogs Application software Ontologies computer architecture Information management Chaos Management information systems

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Design and Implementation of an Efficient Two-level Scheduler for Cloud Computing Environment

Design and Implementation of an Efficient Two-level Schedule...

引用

International Conference on Advances in Recent Technologies in Communication and Computing, ARTCom

作者： Jayarani R. Vasanth Ram R. Sudha Sadhasivam Nagaveni N. Dept of Computer Science and Engineering PSG College of Technology Coimbatore India Dept of Mathematics Coimbatore Institute of Technology Coimbatore India Dept of Computer Technology & Applications Coimbatore Institute of Technology Coimbatore India Dept of Electronics and Communication Engineering PSG College of Technology Coimbatore India

Cloud computing focuses on delivery of reliable, fault-tolerant and scalable infrastructure for hosting Internet based application services. This paper presents the implementation of an efficient Quality of Service (QoS) based Meta-Scheduler and Backfill strategy based light weight Virtual Machine Scheduler for dispatching jobs. The user centric meta-scheduler deals with selection of proper resources to execute high level jobs. The system centric Virtual Machine (VM) scheduler optimally dispatches the jobs to processors for better resource utilization. We also present our thoughts on scheduling heuristics that can be incorporated at data center level for selecting ideal host for VM creation. The implementation can be further extended at the host level, using Inter VM scheduler for adaptive load balancing in cloud environment.

关键词： Processor scheduling Cloud computing Virtual manufacturing Quality of service Virtual machining Fault tolerance Web and internet services Dispatching Resource management Adaptive scheduling

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Hand posture recognition using Hidden Conditional Random Fields

Hand posture recognition using Hidden Conditional Random Fie...

引用

IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Te-Cheng Liu Ko-Chih Wang Augustine Tsai Chieh-Chih Wang Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan Graduate Institute of Networking and Multimedia National Taiwan University Taipei Taiwan Institute for Information Industry Innovative Digitech-Enabled Applications and Services Institute Taipei Taiwan Department of Computer Science and Information Engineering and the Graduate Institute of Networking and Multimedia National Taiwan University Taipei Taiwan

Body-language understanding is essential to human robot interaction, and hand posture recognition is one of the most important components in a body-language recognition system. The existing hand posture recognition approaches based on robust local features such as SIFT can be invariant to background noise and in-plane rotation. However the ignorance of the relationships among local features is a fundamental issue. The part-based models argue that objects of the same category share the same part-structure which consists of parts and relationships among parts. In this paper, a discriminative part-based model, hidden conditional random fields (HCRFs), is used to recognize hand postures. Although the existing global locations of features have been used to consider large scale dependency among parts in the HCRFs framework, the results are not invariant to in-plane rotation. New features by the distance to the image center are proposed to encode the global relationship as well as to perform in-plane rotation-invariant recognition. The experimental results demonstrate that the proposed approach is in-plane rotation-invariant and outperforms the approach using AdaBoost with SIFT.

关键词： Face detection Detectors Human robot interaction Face recognition Background noise Image recognition Cameras Noise robustness Large-scale systems Skin

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SARIDS: A Self-Adaptive Resource Index and Discovery System

SARIDS: A Self-Adaptive Resource Index and Discovery System

引用

International Symposium on Parallel Architectures, Algorithms and Networks (ISPAN)

作者： Yi-Hsiang Lin Wu-Chun Chung Kuan-Chou Lai Kuan-Ching Li Yeh-Ching Chung Institute of Information Systems and Applications National Tsing Hua University Hsinchu Taiwan Department of Computer Science National Tsing Hua University Hsinchu Taiwan Department of Computer and Information Science National Taichung University Taichung Taiwan Department of Computer Science and Information Engineering Providence University Taichung Taiwan

Recently, the resource sharing systems apply the P2P technique to provide scalable multi-attribute range queries. However, due to the heterogeneity of resources and the variation of sharing policies in different providers, current P2P-based resource discovery systems may suffer the load imbalance problem in a large scale distributed system. In this paper, we propose a self-adaptive resource index and discovery system (SARIDS) to achieve load balancing. SARIDS adopts a two-tier architecture based on the structured P2P overlay. The intra-overlay is constructed by normal peers with the same attribute via the locality preserving hash function; and, the inter-overlay is constructed by super-peers with classified attributes in different intra-overlays. SARIDS supports not only the multi-attribute range queries but also the self-adaptive mechanisms for load balancing in the intra-overlay and among the intra-overlays. The simulation results show that SARIDS is scalable and efficient for load balancing even in the non-uniform peer range environment.

关键词： Load management Resource management Large-scale systems Peer to peer computing computer science Indexing Publishing Information systems Application software Information science

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A Novel Approach to Watermark Text Documents Based on Eigen Values

A Novel Approach to Watermark Text Documents Based on Eigen ...

引用

International Conference on Network and Service Security, N2S

作者： Rethika TamilSelvan Ivy Prathap Anitha Ramalingam Serugudi Raghavan PSG College of Technology Coimbatore Tamil Nadu IN Dept. of Mathematics and Computer Applications PSG College of Technology Coimbatore India Dept. of Computer Science and Engineering Indian Institute of Technology Madras Chennai India

This paper provides a new secured, invisible approach to watermark text documents. For integrity verification of text documents, the watermark has to depend on a secret key and on the original document. It is important that the dependence on the key should be sensitive. In this paper, a novel watermarking technique is proposed for content authentication and integrity of text documents. The proposed method makes use of the concept of eigen values by constructing a Line-Document matrix for the whole text document to be watermarked. These eigen values are used to form a secret key for generating the watermark. Embedding is done in the bit plane of the document image which will be imperceptible. Comparison of embedded and extracted secret keys detects any small alterations done to the document. This technique is fragile and hence tamper detection is high.

关键词： Watermarking Robustness Authentication Data mining Protection Mathematics computer applications Educational institutions computer science Paper technology

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Cryptanalysis of a remote user authentication scheme based on bilinear pairing

Cryptanalysis of a remote user authentication scheme based o...

引用

International Conference on Apperceiving Computing and Intelligence Analysis, ICACIA

作者： Yue-Hao Yan De-Song Wang Jian-Ping Li Li-Gang Li Sichuan Top Vocational Institute of Information Technology of China Chengdu China School of Computer Science and Engineering University of Electronic Science and Technology Chengdu China International Centre for Wavelet Analysis and Its Applications Logistical Engineering University Chongqing China

Remote user authentication scheme is a mechanism which allows a server to authenticate a remote user over insecure channel. Recently, Goriparthi et al. made an enhancement based on Das et al.'s remote user authentication scheme using bilinear pairings. The scheme has the merits of no verification table, freely changing password and preventing the forgery attack and the replay attack. This paper, however, demonstrates that Goriparthi et al.'s improved scheme is vulnerable to the insider attack, the denial-of-service attack, and the server spooling attack.

关键词： Authentication Smart cards Forgery computer crime Information technology computer science Wavelet analysis Information analysis Application software Network servers

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Spigot: Fragment-Level File Sharing and Consistency on Grids

Spigot: Fragment-Level File Sharing and Consistency on Grids

引用

International Conference on Advanced Information Networking and applications (AINA)

作者： Po-Cheng Chen Jyh-Biau Chang Jia-Hao Yang Yi-Chang Zhuang Ce-Kuen Shieh Department of Electrical Engineering National Cheng Kung University Taiwan Department of Computer Science and Applications Leader University Taiwan Home Network Technology Center Industrial Technology Research Institute/South Taiwan

Conventional data grid systems require the application to access remote data through explicit APIs, consequently sacrificing user transparency. Thus, some systems enable the application to transparently access remote data by copying the entire file to a userpsilas local storage before executing the application, even when only a tiny file fragment is required. Such an approach consumes unnecessary transmission time and storage space, with the additional problem of maintaining replica synchronization. Traditionally, replica consistency treats shared files as read-only, consequently sacrificing guaranteed replica consistency. This paper presents a DSM-based fragment-level file sharing framework called ldquoSpigotrdquo. Spigot allows the users to design their applications with the POSIX I/O interface. Moreover, Spigot transfers only the necessary file fragments on user demand, thereby reducing transmission time, wasted network bandwidth and required storage space. Data waiting time is further reduced by overlapping data transmission and data analysis. The DSM concept maintains replica synchronization. Real experiments show reduced turnaround times in data-intensive applications.

关键词： Peer to peer computing Application software Grid computing Data communication Computational modeling File servers computer networks Home computing computer science Home automation

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