• Title/Summary/Keyword: Context-based

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Ontology based Context-Aware Recommendation System using Concept Hierarchy (개념 계층 모델을 이용한 온톨로지 기반 상황 인식 추천 시스템)

  • Ahn, Myoung-Hwan;Kwon, Joon-Hee
    • Journal of Internet Computing and Services
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    • v.8 no.5
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    • pp.81-89
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    • 2007
  • In this thesis, we propose ontology based context-aware recommendation system using concept hierarchy(OCARCH), Context-aware recommendation services are useful to provide an user with relevant information and/or services bared on his current context, However several approaches to context-aware recommendation system have been already proposed, each of them provide information without considering level of information concept bared on his current context, For this reason, we propose OCARCH as system capable of helping people to find their way quickly and easily through large amounts of information by determining level of information concept based on his current context, We are also using prefetching algorithm to store recommendation information that the user is likely to need in the near future based on current predictions, Therefore the OCARCH enables users to obtain relevant information efficiently, Several experiments are performed and the experimental results show that the proposed system provides more effective than conventional context-aware recommendation system.

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Real-Time Rule-Based System Architecture for Context-Aware Computing (실시간 상황 인식을 위한 하드웨어 룰-베이스 시스템의 구조)

  • Lee, Seung-Wook;Kim, Jong-Tae;Sohn, Bong-Ki;Lee, Keon-Myung;Cho, Jun-Dong;Lee, Jee-Hyung;Jeon, Jae-Wook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.5
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    • pp.587-592
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    • 2004
  • Context-aware computing systems require real-time context reasoning process for context awareness. Context reasoning can be done by comparing input information from sensors with knowledge-base within system. This method is identical with it of rule-based systems. In this paper, we propose hardware rule-based system architecture which can process context reasoning in real-time. Compared to previous architecture, hardware rule-based system architecture can reduce the number of constraints on rule representations and combinations of condition terms in rules. The modified content addressable memory, crossbar switch network and pre-processing module are used for reducing constraints. Using SystemC for description can provide easy modification of system configuration later.

Context-based Service Reasoning Model Based on User Environment Information (사용자환경정보 기반 Context-based Service 추론모델)

  • Ko, Kwang-Eun;Jang, In-Hun;Sim, Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.7
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    • pp.907-912
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    • 2007
  • The present level of ubiquitous computing technology have developed to the point where Home-server provides services that user require directly for user in the intelligent space. But it will need intelligent system to provides more active services for user in the near future. In this paper, we define the environment information about situation that user is in as Context, and collect the Context that stereotype as 4W1H form for construct the system that can decision service will be provide from information about a situation that user is in, without user's involvement. Additionally we collect information about user's emotional state, use these informations as nodes of Bayesian network for probabilistic reasoning. From that, we materialize Context Awareness system about it that what kind of situation user is in. And, we propose the Context-based Service reasoning model using Bayesian Network from the result of Context Awareness.

Context-Awareness Healthcare for Disease Reasoning Based on Fuzzy Logic

  • Lee, Byung-Kwan;Jeong, Eun-Hee;Lee, Sang-Sik
    • Journal of Electrical Engineering and Technology
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    • v.11 no.1
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    • pp.247-256
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    • 2016
  • This paper proposes Context-Awareness Healthcare for Disease Reasoning based on Fuzzy Logic. It consists of a Fuzzy-based Context-Awareness Module (FCAM) and a Fuzzy-based Disease Reasoning Module (FDRM). The FCAM computes a Correlation coefficient and Support between a Condition attribute and a Decision attribute and generates Fuzzy rules by using just the Condition attribute whose Correlation coefficient and Support are high. According to the result of accuracy experiment using a SIPINA mining tool, those generated by Fuzzy Rule based on Correlation coefficient and Support (FRCS) and Improved C4.5 are 0.84 and 0.81 each average. That is, compared to the Improved C4.5, the FRCS reduces the number of generated rules, and improves the accuracy of rules. In addition, the FDRM can not only reason a patient’s disease accurately by using the generated Fuzzy Rules and the patient disease information but also prevent a patient’s disease beforehand.

Location Tracking based on MS-Based/Assisted Location Trigger Model with Context-Awareness

  • Park, Sung-Suk;Lee, Yon-Sik
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.6
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    • pp.63-69
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    • 2016
  • In this paper, we proposed the location tracking system based on MS-Based/Assisted(Mobile Station-Based and Assisted) location trigger service model with context-awareness for the intelligent location tracking of moving objects. It provides the proper resulting value that matches the context of users through the analysis about the situation of the user, physical environment, computing resource and the existing information on user input. In order to provide real-time data, we proposed the location tracking system which realizes the intelligent information such as the expecting arrival time and passing the specific area of the moving object by adopting the location trigger. So, it derives to minimize the costs of communication for the mobile object tracking applications. The proposed location tracking system based on context-awareness can be used for realtime monitoring, intelligent alarm/action, setting up of the optimized moving path, dynamic adjustment of strategies and policies. So it has the advantage to develop the application system which is aimed at optimization of the object tracking and movement.

Recommendation using Context Awareness based Information Filtering in Smart Home (스마트 홈에서 상황인식 기반의 정보 필터링을 이용한 추천)

  • Chung, Kyung-Yong
    • The Journal of the Korea Contents Association
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    • v.8 no.7
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    • pp.17-25
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    • 2008
  • The smart home environment focuses on recognizing the context and physical entities. And this is mainly focused on the personalized service supplied conversational interactions. In this paper, we proposed the recommendation using the context awareness based information filtering that dynamically applied by the context awareness as well as the meta data in the smart home. The proposed method defined the context information and recommended the profited service for the user’s taste using the context awareness based information filtering. Accordingly, the satisfaction of users and the quality of services will be improved the efficient recommendation by supporting the distributed processing as well as the mobility of services. Finally, to evaluate the performance of the proposed method, this study applies to MovieLens dataset in the OSGi framework, and it is compared with the performance of previous studies.

A Component-Based Application Framework for Context-Aware Smartphone Applications Based on Android (안드로이드에서 상황 인지 스마트폰 애플리케이션을 위한 컴포넌트 기반 애플리케이션 프레임워크)

  • Hwang, Seyoung;Lee, Hyunguk;Park, Sangwon
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.9
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    • pp.621-628
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    • 2013
  • This paper presents a framework for context-aware smart phone applications based on Android. The mobile context-aware system is composed of a low level context collection module, a high level context generation module and a service provision module. Existing android system cannot provide an appropriate application framework to integrate these independent modules. In this paper, we provide an application framework which make each module a component, and provide appropriate services to each component. This framework hides the Android platform, so that the complexity for organical combination can be minimized and the application developers can make the mobile context-aware applications easily.

A Study of Ontology-based Context Modeling in the Area of u-Convention (온톨로지 기반 상황인지 모델링 연구: u-Convention을 중심으로)

  • Kim, Sung-Hyuk
    • Journal of the Korean Society for information Management
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    • v.28 no.3
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    • pp.123-139
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    • 2011
  • Context-awareness as a key technology of ubiquitous computing needs a context model that understands and processes situational information coming from diverse sensors and devices, and can be applied diversely in various domains. Semantic web based ontologies use structured standard format and express meaning of information, so it is possible to recognize effectively context-awareness situations, allowing the system to share information and understand situation by inference. In this paper, we propose a layered ontology model to support generality and scaleability of the context-awareness system, and applied the model to u-Convention domain. In addition, we propose a effective reasoning method to handle compound situation by combining OWL-DL and SWRL rules.

Case Studies of Elderly-Friendly Context-Aware Smart Home System (고령친화 상황인지 스마트 홈 시스템에 관한 사례 연구)

  • Bae, Hong-Min;Kim, Byung-Seo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.3
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    • pp.85-90
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    • 2015
  • As the population in Korea is feastly aging, various issues for living environment for elderly people are reported. Context-aware-based smart home system is also considered as one of the issues and the needs of it increases. Even though many researches are recently reported about context-aware-based smart home system, it is hardly found for elderly-people-optimized system. Therefore, in this paper, we surveys in three categories: general context-aware system, system for smart home, and context-aware home system for elderly people. After analyzing the surveys, we address issues to be solved for elderly-people-optimized context-aware-based smart home system and proposed appropriate research directions for the system.

The Study of Pragmatic Functions of '-ketun(yo)' for Korean grammar teaching on a discourse level (담화 차원의 한국어 문법 교육을 위한 '-거든(요)'의 화용적 기능 분석 연구)

  • Han, Halim
    • Journal of Korean language education
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    • v.28 no.2
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    • pp.209-233
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    • 2017
  • The purpose of this study is to analyze the pragmatic functions of '-ketun(yo)' expressed in the discourse associating with the context of communication based on the actual conversations of Korean native speakers. As discourse is closely related to the context, contextual factors surrounding the discourse should be actively considered in order to reveal the function of grammar expressed in the discourse. Also, there is need to consider the grammatical functions in terms of the linguistic user which is the subject of interaction in the discourse. Based on this necessity, in this study, we analyzed the pragmatic functions of '-ketun(yo).' As a result, '-ketun(yo)-' had a great influence on the formation and expansion of the shared context in communication contexts. The shared context is expanded through generative mutual knowledge and priori mutual knowledge. As a result of the conversation analysis, '-ketun(yo)-' was used at a high frequency in the expansion of generative mutual knowledge formation. In addition, '-ketun(yo)-' appeared to have a discourse cohesion function that binds topics with other topics. In the case that '-ketun(yo)-' is formed through priori mutual knowledge, '-ketun(yo)-' could be used as a sign to lead the union of the speaker and the listener. This study has significance in that it examines the pragmatic functions of '-ketun(yo)-' in relation to the context of communication based on actual utterance.