Pub Date : 2009-12-18DOI: 10.1109/ICDIM.2009.5356789
Dong Lin, Chen Wu-shan, Sun Jian, Zhang Cui-cui
This paper developed a real-time signal timing model which was to be integrated into multi-intersection in urban area, to some extent, relieving the traffic congestion. We firstly analyzed the current traffic flow by using release matrix at a single intersection and multi-intersection respectively. Integrated with the optimal Webster split algorithm, the optimal real-time signal timing model, which realized non-fixed cycle and non-fixed split signal control, was built to minimize total delay time of vehicles at the multi-intersection. Then, we simulate the model using on traffic flow based on Passion distribution. Results, which are compared with conventional model, manifest the promising properties of proposed model.
{"title":"Modeling of real-time signal timing for multi-intersection in urban traffic network","authors":"Dong Lin, Chen Wu-shan, Sun Jian, Zhang Cui-cui","doi":"10.1109/ICDIM.2009.5356789","DOIUrl":"https://doi.org/10.1109/ICDIM.2009.5356789","url":null,"abstract":"This paper developed a real-time signal timing model which was to be integrated into multi-intersection in urban area, to some extent, relieving the traffic congestion. We firstly analyzed the current traffic flow by using release matrix at a single intersection and multi-intersection respectively. Integrated with the optimal Webster split algorithm, the optimal real-time signal timing model, which realized non-fixed cycle and non-fixed split signal control, was built to minimize total delay time of vehicles at the multi-intersection. Then, we simulate the model using on traffic flow based on Passion distribution. Results, which are compared with conventional model, manifest the promising properties of proposed model.","PeriodicalId":300287,"journal":{"name":"2009 Fourth International Conference on Digital Information Management","volume":"27 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128228237","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}
Pub Date : 2009-12-18DOI: 10.1109/ICDIM.2009.5356775
Franclin S. Foping, I. Dokas, John Feehan, Saed Imran
This paper presents a new schema-sharing technique for multitenant applications. Our approach is built on top of the Extension table method and makes use of the native XML data support to store the additional data supplied by each tenant. Our proposed technique can be used to implement multitenancy on top of a standard relational database. This paper also describes an implementation of our approach using a real-world case study aiming at improving the communication channel of information related to drinking water quality parameters used by all stakeholders involved in the water treatment process in Ireland. These include the Environmental Protection Agency, the Health Service Executive, drinking water treatment plant staff, local authorities and everybody consuming water.
{"title":"A new hybrid schema-sharing technique for multitenant applications","authors":"Franclin S. Foping, I. Dokas, John Feehan, Saed Imran","doi":"10.1109/ICDIM.2009.5356775","DOIUrl":"https://doi.org/10.1109/ICDIM.2009.5356775","url":null,"abstract":"This paper presents a new schema-sharing technique for multitenant applications. Our approach is built on top of the Extension table method and makes use of the native XML data support to store the additional data supplied by each tenant. Our proposed technique can be used to implement multitenancy on top of a standard relational database. This paper also describes an implementation of our approach using a real-world case study aiming at improving the communication channel of information related to drinking water quality parameters used by all stakeholders involved in the water treatment process in Ireland. These include the Environmental Protection Agency, the Health Service Executive, drinking water treatment plant staff, local authorities and everybody consuming water.","PeriodicalId":300287,"journal":{"name":"2009 Fourth International Conference on Digital Information Management","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129453885","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}
Pub Date : 2009-12-18DOI: 10.1109/ICDIM.2009.5356785
C. Shih, Ting-Chun Peng, W. Lai
On-the-go consumers require dynamic information, particularly "word of mouth, " to make better purchase decisions. A popular genre of mobile map services is travel/cuisine, which is a popular topic for bloggers as well. This study attempts to generate local cuisine hotspot maps through blog content mining. The main obstacle in doing this involves recognizing and extracting restaurants and essential restaurant information (i.e., restaurant dishes) in unstructured content. In contrast to traditional Named Entity Recognition (NER) targets, dish name is a promising target that received little attention in previous studies. This study develops methods for recognizing and extracting restaurant names and dish names from Chinese blog posts and achieves satisfactory performance. The extraction results are arranged into hotspots and presented in map views. The extracted information can be fed back to POI (Point of Interest) databases, and thus a brand-new POI database comprising information extracted from User Generated Content (UGC) can be realized.
忙碌的消费者需要动态信息，尤其是“口口相传”，以做出更好的购买决定。一种流行的手机地图服务类型是旅游/美食，这也是博客的热门话题。本研究尝试通过博客内容挖掘生成地方美食热点地图。这样做的主要障碍涉及在非结构化内容中识别和提取餐馆和基本餐馆信息(即餐馆菜肴)。与传统的命名实体识别(NER)目标相比，菜肴名称是一个很有前途的目标，但在以往的研究中很少受到关注。本研究开发了从中文博客文章中识别和提取餐厅名称和菜名的方法，取得了令人满意的效果。提取结果按热点排列，在地图视图中呈现。提取的信息可以反馈到POI (Point of Interest)数据库，从而实现一个全新的POI数据库，其中包含从用户生成内容(UGC)中提取的信息。
{"title":"Mining the blogosphere to generate local cuisine hotspots for mobile map service","authors":"C. Shih, Ting-Chun Peng, W. Lai","doi":"10.1109/ICDIM.2009.5356785","DOIUrl":"https://doi.org/10.1109/ICDIM.2009.5356785","url":null,"abstract":"On-the-go consumers require dynamic information, particularly \"word of mouth, \" to make better purchase decisions. A popular genre of mobile map services is travel/cuisine, which is a popular topic for bloggers as well. This study attempts to generate local cuisine hotspot maps through blog content mining. The main obstacle in doing this involves recognizing and extracting restaurants and essential restaurant information (i.e., restaurant dishes) in unstructured content. In contrast to traditional Named Entity Recognition (NER) targets, dish name is a promising target that received little attention in previous studies. This study develops methods for recognizing and extracting restaurant names and dish names from Chinese blog posts and achieves satisfactory performance. The extraction results are arranged into hotspots and presented in map views. The extracted information can be fed back to POI (Point of Interest) databases, and thus a brand-new POI database comprising information extracted from User Generated Content (UGC) can be realized.","PeriodicalId":300287,"journal":{"name":"2009 Fourth International Conference on Digital Information Management","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131497226","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}
Pub Date : 2009-12-18DOI: 10.1109/ICDIM.2009.5356788
Jaejoon Kim, Taeho Kim, Daegyu Lee, Youngback Kim
Providing high quality panoramic video over Internet, mobile and broadcasting areas, requires a suitable video codec that satisfies both highcompression efficiency and random access functionality. On the user side, high compression efficiency is necessary to enable video streaming of high-volume panoramic data; the random access functions allow the user to move the viewpoint and direction freely. In this research, we introduce the cell concept for compression efficiency and random access functionality and propose a high-speed algorithm for the encoder and decoder of wide screen panoramic images.
{"title":"On realization of modified encoding/decoding for high capacity panoramic video","authors":"Jaejoon Kim, Taeho Kim, Daegyu Lee, Youngback Kim","doi":"10.1109/ICDIM.2009.5356788","DOIUrl":"https://doi.org/10.1109/ICDIM.2009.5356788","url":null,"abstract":"Providing high quality panoramic video over Internet, mobile and broadcasting areas, requires a suitable video codec that satisfies both highcompression efficiency and random access functionality. On the user side, high compression efficiency is necessary to enable video streaming of high-volume panoramic data; the random access functions allow the user to move the viewpoint and direction freely. In this research, we introduce the cell concept for compression efficiency and random access functionality and propose a high-speed algorithm for the encoder and decoder of wide screen panoramic images.","PeriodicalId":300287,"journal":{"name":"2009 Fourth International Conference on Digital Information Management","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133178663","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}
Pub Date : 2009-12-18DOI: 10.1109/ICDIM.2009.5356787
Esther Meng-Yoke Tan, S. Foo, D. Goh, Y. Theng
Mobile information retrieval is characterized by the need to provide the right amount of relevant information for the right context so as to maximize the effectiveness of the limited screen size and processing capability of hand held devices. Context would typically include user profiles, user preferences, location, time of day, and others. To design better mobile information retrieval systems that typically draw information from various sources there is a need for a better understanding of these contextual properties that have an impact of design and delivery of such information. In this paper, we derive a set of 42 context properties and classify them using a model known as TILES (Temporal, Identity, Location, Environmental and Social). These properties were derived from literature in context-related studies, context-aware applications from the mobile tourism industry and augmented with focus group study findings. The TILES model, while having the highest applicability in the mobile tourism industry, can be adapted to other domains and serve as a framework to better aid the design and development of context-aware information retrieval systems in these domains.
{"title":"Tiles — A model for classifying and using contextual information for context-aware applications","authors":"Esther Meng-Yoke Tan, S. Foo, D. Goh, Y. Theng","doi":"10.1109/ICDIM.2009.5356787","DOIUrl":"https://doi.org/10.1109/ICDIM.2009.5356787","url":null,"abstract":"Mobile information retrieval is characterized by the need to provide the right amount of relevant information for the right context so as to maximize the effectiveness of the limited screen size and processing capability of hand held devices. Context would typically include user profiles, user preferences, location, time of day, and others. To design better mobile information retrieval systems that typically draw information from various sources there is a need for a better understanding of these contextual properties that have an impact of design and delivery of such information. In this paper, we derive a set of 42 context properties and classify them using a model known as TILES (Temporal, Identity, Location, Environmental and Social). These properties were derived from literature in context-related studies, context-aware applications from the mobile tourism industry and augmented with focus group study findings. The TILES model, while having the highest applicability in the mobile tourism industry, can be adapted to other domains and serve as a framework to better aid the design and development of context-aware information retrieval systems in these domains.","PeriodicalId":300287,"journal":{"name":"2009 Fourth International Conference on Digital Information Management","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114601566","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}
Pub Date : 2009-12-18DOI: 10.1109/ICDIM.2009.5356793
R. Khosla, A. Arora, Mei-Tai Chu, K. G. Yamada, Tomoharu Yamaguchi, W. Grosky
This paper describes a method and system for monitoring and correlating digitized non-verbal data (like emotions and eye-gaze) with other kinds of data for decision support and information personalization. This is illustrated through two applications in this paper. The first one describes detection, monitoring and correlation of emotional state changes for behavior profiling of sales candidates. The second one outlines design of eye gaze tracking system using standard web camera (instead of more expensive infra-red camera) for holiday destination selection. The paper makes unique contributions in terms of modelling as well as correlation of non-verbal data in natural environments for improving digital information quality and decision making in business areas like recruitment and tourism.
{"title":"Fusion of facial expression and eye-gaze for behavior profiling and decision support","authors":"R. Khosla, A. Arora, Mei-Tai Chu, K. G. Yamada, Tomoharu Yamaguchi, W. Grosky","doi":"10.1109/ICDIM.2009.5356793","DOIUrl":"https://doi.org/10.1109/ICDIM.2009.5356793","url":null,"abstract":"This paper describes a method and system for monitoring and correlating digitized non-verbal data (like emotions and eye-gaze) with other kinds of data for decision support and information personalization. This is illustrated through two applications in this paper. The first one describes detection, monitoring and correlation of emotional state changes for behavior profiling of sales candidates. The second one outlines design of eye gaze tracking system using standard web camera (instead of more expensive infra-red camera) for holiday destination selection. The paper makes unique contributions in terms of modelling as well as correlation of non-verbal data in natural environments for improving digital information quality and decision making in business areas like recruitment and tourism.","PeriodicalId":300287,"journal":{"name":"2009 Fourth International Conference on Digital Information Management","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127230812","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}
Pub Date : 2009-12-18DOI: 10.1109/ICDIM.2009.5356772
E. Pontes, A. Guelfi
Common methods for Intrusion Detection Systems (IDS) lack in security as they are postmortem approaches: Unwanted Internet Traffic (UIT) is detected and/or blocked only after UIT has inflicted serious damage. Even though some forecasting techniques have been applied to improve IDS in the last few years, three major gaps lie in those techniques: sensors employment, the use of just one forecasting technique and forecasts' sharing. The aim of this paper is to show a collaborative architecture of IDS with prediction approaches, covering the gaps of the current forecasting techniques. A proof of concept of such architecture is presented, which allows concluding about the improvement in forecasts for IDS to cope with UIT.
{"title":"IFS — Intrusion forecasting system based on collaborative architecture","authors":"E. Pontes, A. Guelfi","doi":"10.1109/ICDIM.2009.5356772","DOIUrl":"https://doi.org/10.1109/ICDIM.2009.5356772","url":null,"abstract":"Common methods for Intrusion Detection Systems (IDS) lack in security as they are postmortem approaches: Unwanted Internet Traffic (UIT) is detected and/or blocked only after UIT has inflicted serious damage. Even though some forecasting techniques have been applied to improve IDS in the last few years, three major gaps lie in those techniques: sensors employment, the use of just one forecasting technique and forecasts' sharing. The aim of this paper is to show a collaborative architecture of IDS with prediction approaches, covering the gaps of the current forecasting techniques. A proof of concept of such architecture is presented, which allows concluding about the improvement in forecasts for IDS to cope with UIT.","PeriodicalId":300287,"journal":{"name":"2009 Fourth International Conference on Digital Information Management","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132450767","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}
Pub Date : 2009-12-18DOI: 10.1109/ICDIM.2009.5356773
G. Ning, Jin Tian-guo, Liu Wen-jian
For the purpose of simplifying the procedure of part task distribution and improve the quality of scheduling, a new manufacturing resources organization model based virtual manufacturing cells (VMCs) is proposed, it is formularized as 4-tuple {machine, subsidiary tools, process capability, machine Status}. Then, the procedure of VMCs formation is divided into two phases: resource selection and resource cluster. Finally, to solve the resource selection problem, a multi-objective cooperative co-evolutionary algorithm (MOCCEA) is employed and a multi-objective optimization problem model is constructed, the model is aimed to maximize the sum of processing routes' similarity coefficient, minimize the total cost and time of transportation, and minimize the machine loading unbalance. A case has shown that the algorithm possessed good prospects of application in resource selection for VMCs formation.
{"title":"Research on the formation of a new manufacturing resource organization model","authors":"G. Ning, Jin Tian-guo, Liu Wen-jian","doi":"10.1109/ICDIM.2009.5356773","DOIUrl":"https://doi.org/10.1109/ICDIM.2009.5356773","url":null,"abstract":"For the purpose of simplifying the procedure of part task distribution and improve the quality of scheduling, a new manufacturing resources organization model based virtual manufacturing cells (VMCs) is proposed, it is formularized as 4-tuple {machine, subsidiary tools, process capability, machine Status}. Then, the procedure of VMCs formation is divided into two phases: resource selection and resource cluster. Finally, to solve the resource selection problem, a multi-objective cooperative co-evolutionary algorithm (MOCCEA) is employed and a multi-objective optimization problem model is constructed, the model is aimed to maximize the sum of processing routes' similarity coefficient, minimize the total cost and time of transportation, and minimize the machine loading unbalance. A case has shown that the algorithm possessed good prospects of application in resource selection for VMCs formation.","PeriodicalId":300287,"journal":{"name":"2009 Fourth International Conference on Digital Information Management","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122226013","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}
Pub Date : 2009-12-18DOI: 10.1109/ICDIM.2009.5356769
Joachim Kleb, R. Volz
Text is still the most important carrier of information. Names are essential anchor points in text, and they are essential to link pieces of information spread in the text. Unfortunately names are ambiguous, which makes it difficult for systems to understand whether syntactically identical names are actually semantically equivalent. Disambiguation is therefore an indispensable feature for the automatic processing of texts. We introduce a novel approach to dis-ambiguate names using ontologies, natural language text patterns and a customisable ranking algorithm. We evaluate our approach in the area of geographic names, and demonstrate the utility of our results with a geographic news reader.
{"title":"Ontology based entity disambiguation with natural language patterns","authors":"Joachim Kleb, R. Volz","doi":"10.1109/ICDIM.2009.5356769","DOIUrl":"https://doi.org/10.1109/ICDIM.2009.5356769","url":null,"abstract":"Text is still the most important carrier of information. Names are essential anchor points in text, and they are essential to link pieces of information spread in the text. Unfortunately names are ambiguous, which makes it difficult for systems to understand whether syntactically identical names are actually semantically equivalent. Disambiguation is therefore an indispensable feature for the automatic processing of texts. We introduce a novel approach to dis-ambiguate names using ontologies, natural language text patterns and a customisable ranking algorithm. We evaluate our approach in the area of geographic names, and demonstrate the utility of our results with a geographic news reader.","PeriodicalId":300287,"journal":{"name":"2009 Fourth International Conference on Digital Information Management","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114286021","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}
Pub Date : 2009-12-18DOI: 10.1109/ICDIM.2009.5356783
Bernd Stieger, M. Aleksy
Instant availability of up-to-date information is a vital pre-requisite in today's business for decision making and the execution of many job tasks. Especially, in service business, which is to a high degree human-based and knowledge-driven, service job experience and information about the customer as well as the installed equipment are critical success factors to deliver high quality services efficiently. Very often this information is stored in heterogeneous back-end systems and it needs to be aggregated and retrieved on demand. It needs to be provided to customer contact centers, which deal with the first customer contacts, as well as to field service engineers, who need to be well-prepared for the service job execution. In this paper, a case study is used to describe how knowledge management technologies can facilitate these service processes based on a process analysis- and knowledge requirement- driven approach.
{"title":"The role of knowledge management technologies in service business processes","authors":"Bernd Stieger, M. Aleksy","doi":"10.1109/ICDIM.2009.5356783","DOIUrl":"https://doi.org/10.1109/ICDIM.2009.5356783","url":null,"abstract":"Instant availability of up-to-date information is a vital pre-requisite in today's business for decision making and the execution of many job tasks. Especially, in service business, which is to a high degree human-based and knowledge-driven, service job experience and information about the customer as well as the installed equipment are critical success factors to deliver high quality services efficiently. Very often this information is stored in heterogeneous back-end systems and it needs to be aggregated and retrieved on demand. It needs to be provided to customer contact centers, which deal with the first customer contacts, as well as to field service engineers, who need to be well-prepared for the service job execution. In this paper, a case study is used to describe how knowledge management technologies can facilitate these service processes based on a process analysis- and knowledge requirement- driven approach.","PeriodicalId":300287,"journal":{"name":"2009 Fourth International Conference on Digital Information Management","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134010567","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}
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