2012 Conference on Technologies and Applications of Artificial Intelligence最新文献_第2页

Hybrid Approach of Using Visual and Tag Information for Situation-Oriented Clustering of Sightseeing Spot Images 基于视觉和标签信息的景点图像情境聚类混合方法

2012 Conference on Technologies and Applications of Artificial Intelligence Pub Date : 2012-11-16 DOI: 10.1109/TAAI.2012.32

Chia-Huang Chen, Y. Takama

{"title":"Hybrid Approach of Using Visual and Tag Information for Situation-Oriented Clustering of Sightseeing Spot Images","authors":"Chia-Huang Chen, Y. Takama","doi":"10.1109/TAAI.2012.32","DOIUrl":"https://doi.org/10.1109/TAAI.2012.32","url":null,"abstract":"Recent trend on the web is to share their traveling experience via uploading photos to web albums. Shared photos of sightseeing spots are important resources for those who are going to visit there. As sightseeing spot scenes vary with different situations, such as weather and season, automatic classification of photos into different situations is expected to be beneficial for tourists to plan when to visit there. This paper proposes a hybrid approach of combining content-based image clustering with filtering based on tag information of image. By using geotag information when retrieving images from web albums, collected images can be limited to a reasonable boundary to eliminate outliers. Content-based image clustering groups collected images into night, sunrise/sunset, cloudy, and shine situations. Moreover, by using the timestamp of images, the four situation categories are further verified to increase the accuracy. Experimental results show that the hybrid approach of content-based image clustering and tag-based filtering is effective for obtaining clusters with high precision and recall.","PeriodicalId":385063,"journal":{"name":"2012 Conference on Technologies and Applications of Artificial Intelligence","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124600555","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}

引用次数: 4

A Novel Methodology for Stock Investment Using Episode Mining and Technical Indicators 一种基于情节挖掘和技术指标的股票投资新方法

2012 Conference on Technologies and Applications of Artificial Intelligence Pub Date : 2012-11-16 DOI: 10.1109/TAAI.2012.26

Yu-Feng Lin, Chien-Feng Huang, V. Tseng

引用次数: 6

Applying User Model as the Basis for Daily Exercise Support Application 应用用户模型作为日常运动支持应用的基础

2012 Conference on Technologies and Applications of Artificial Intelligence Pub Date : 2012-11-16 DOI: 10.1109/TAAI.2012.27

Yihsin Ho, Kouhei Tanaka, Shin Ishiguro, E. Sato-Shimokawara, Toru Yamaguchi

{"title":"Applying User Model as the Basis for Daily Exercise Support Application","authors":"Yihsin Ho, Kouhei Tanaka, Shin Ishiguro, E. Sato-Shimokawara, Toru Yamaguchi","doi":"10.1109/TAAI.2012.27","DOIUrl":"https://doi.org/10.1109/TAAI.2012.27","url":null,"abstract":"Nowadays people's life become more rich and convenient than before, but the obesity also become a problem with people. One cause of obesity is lack of exercise. Although the reason is known by people and the method of keeping health is self maintenance, but it is hard for most people, especially the elderly people. Because of this, we design a daily exercise support application, which is based on the user model, to provide health maintain support. In this research, we focus on applying user model to help people. Because a person's health situation relates to his everyday activities, the users' data of daily life can be the data to build the user model. Thus we choose to use sensors to recode the amount of exercise and users' motion data to build the user model. We obtained the user's motion data and the amount of exercise from sensors firstly, and use fuzzy inference and fuzzy membership function to recognize the motion data. And then, the user model can be constructed by mining motion data and the amount of exercise. Finally, the daily exercise support application can offer service to the user by applying the user model. Furthermore, we will show two kind of exercise support service of the application.","PeriodicalId":385063,"journal":{"name":"2012 Conference on Technologies and Applications of Artificial Intelligence","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123024610","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}

引用次数: 6

Framework to Build an Intelligent RFID System for Use in the Healthcare Industry 构建医疗保健行业使用的智能RFID系统的框架

2012 Conference on Technologies and Applications of Artificial Intelligence Pub Date : 2012-11-16 DOI: 10.1109/TAAI.2012.58

Li-Shiang Tsay, A. Williamson, Seunghyun Im

{"title":"Framework to Build an Intelligent RFID System for Use in the Healthcare Industry","authors":"Li-Shiang Tsay, A. Williamson, Seunghyun Im","doi":"10.1109/TAAI.2012.58","DOIUrl":"https://doi.org/10.1109/TAAI.2012.58","url":null,"abstract":"Information and Communication Technology (ICT) has been considered an important avenue for ensuring patients' good health, full social participation, and independent living as long as possible through their entire life span. In the last decade, various ICT solutions were developed to facilitate medical organizations in sharing critical information about patients, to enable patients to monitor their health, and to prevent errors in medications. Currently, there is increasing interest in using the Radio Frequency Identification (RFID) technology to save lives, to prevent errors, and to reduce costs. Medical organizations have adopted RFID tags to track and manage medical assets to improve their utilization and to reduce the need for future expenditures on duplicating equipment. To improve patient safety and medical service, some are using RFID for tracking and tracing patients while they are in a hospital environment, for integrating with medical monitoring equipment for emergency alerts and for ensuring the removal of tagged items of surgical equipment during an operation. As product and patient safety are global concerns, tracking and tracing legitimate drugs using RFID tags are being mandated by government agencies around the world. Although using RFID can provide trustworthy benefits in the healthcare industry, it is not being widely used due to the lack of security on the RFID tags and limited space for data storage. To tackle such concerns, we propose an integrated framework to build a RFID card system by embedding smart tags in insurance cards, medical charts, and medical bracelets to store medical information. It will simplify the maintenance and transfer of patient data in a secure, feasible and cost effective way.","PeriodicalId":385063,"journal":{"name":"2012 Conference on Technologies and Applications of Artificial Intelligence","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116901804","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}

引用次数: 12

A Neural-Based Scheme for Simultaneously Determining Membership and Class of String Identifiers 一种同时确定字符串标识符的隶属关系和类别的神经算法

2012 Conference on Technologies and Applications of Artificial Intelligence Pub Date : 2012-11-16 DOI: 10.1109/TAAI.2012.43

H. Ma, Ying-Chih Tseng

引用次数: 0

Context-Oriented Data Acquisition and Integration Platform for Internet of Things 面向情境的物联网数据采集与集成平台

2012 Conference on Technologies and Applications of Artificial Intelligence Pub Date : 2012-11-16 DOI: 10.1109/TAAI.2012.64

Yeong-Sheng Chen, Yu-Ren Chen

{"title":"Context-Oriented Data Acquisition and Integration Platform for Internet of Things","authors":"Yeong-Sheng Chen, Yu-Ren Chen","doi":"10.1109/TAAI.2012.64","DOIUrl":"https://doi.org/10.1109/TAAI.2012.64","url":null,"abstract":"In this paper, a data acquisition and integration platform for internet of things is proposed. The platform is developed under a cloud computing environment using context-oriented approaches. It collects sensor data from different types of sensor devices, including such as RFID, ZigBee sensors, GPS devices, temperature sensors, humidity sensors, luminance sensors, etc. First we are devoted to the study of deployment, management, and control of different types of sensors for automatic acquisition of sensor data and its related ambient information, both of which will be stored in the IoT repository in a cloud environment. Then, context-oriented mechanisms are developed to produce context data. With the devised context broker, the data retrieved from the IoT repository can be used to produce the contextual portfolio, which is annotated with semantic description. The contextual portfolio will then be stored into a cloud database as the User Portfolio. Finally, services for accessing the User Portfolio in the cloud are developed on a middleware platform, which is compliant with the OSGi standard. With the proposed platform, the acquired data is integrated into semantic contexts, which can be easily shared and reused among different mobile applications. Also, the context information can enhance mobile applications' usability by adapting to conditions that directly affect their operations.","PeriodicalId":385063,"journal":{"name":"2012 Conference on Technologies and Applications of Artificial Intelligence","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115205300","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}

引用次数: 28

Link Prediction in a Bipartite Network Using Wikipedia Revision Information 基于维基百科修订信息的二部网络链接预测

2012 Conference on Technologies and Applications of Artificial Intelligence Pub Date : 2012-11-16 DOI: 10.1109/TAAI.2012.49

Yang-Jui Chang, Hung-Yu kao

引用次数: 18

Extracting Important Patterns for Building State-Action Evaluation Function in Othello 在《奥赛罗》中提取状态-行为评价函数的重要模式

2012 Conference on Technologies and Applications of Artificial Intelligence Pub Date : 2012-11-16 DOI: 10.1109/TAAI.2012.11

Huy Nguyen, Kokolo Ikeda, H. Le

引用次数: 2

AppNow: Predicting Usages of Mobile Applications on Smart Phones AppNow:预测智能手机上移动应用的使用情况

2012 Conference on Technologies and Applications of Artificial Intelligence Pub Date : 2012-11-16 DOI: 10.1109/TAAI.2012.18

Zhung-Xun Liao, Po-Ruey Lei, Tsu-Jou Shen, Shou-Chung Li, Wen-Chih Peng

引用次数: 6

On the Robustness of a New Boundary-Based Corner Detection Algorithm 一种新的基于边界的角点检测算法的鲁棒性

2012 Conference on Technologies and Applications of Artificial Intelligence Pub Date : 2012-11-16 DOI: 10.1109/TAAI.2012.45

Wen-Bing Horng, Chun-Wen Chen, Cheng Chen

引用次数: 0