• Journal of Korean Institute of Industrial Engineers
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• v.35 no.1
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• pp.51-57
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• 2009

There are a variety of users and devices in a context-aware computing environment. In this environment, the service provided to a user may be the composition of diverse services rather than one independent service. Before user's devices provide the composite service to the user, they should perceive user's needs by gathering related information segments from other surrounding devices and/or sensors. We consider a context-aware computing environment providing composite and adapted service to users and propose an information processing model that characterizes the device where the collected data should be processed through services and/or applications. Based on this model, we provide an analytical tool to obtain some performance measures of the context-aware computing environment.

• Journal of The Korean Association For Science Education
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• v.17 no.3
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• pp.273-288
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• 1997

The purpose of this study was to review the studies related to the problem of context in science education. Firstly, studies on context and context effects in science education (and also those related in cognitive psychology) were summarized according to the topics concerning science learning, such as deductive reasoning and probabilistic judgement, controlling variables, scientific inquiry skills, memory and consistency of misconceptions, selecting cognitive strategies and problem solving, achievement and momentum effect, and interest, religion and culture. Secondly, the common problems appeared from the analysis of the studies were discussed, such as (1) how to define contexts?, (2) how to classify contexts?, (3) how to characterize the effects of contexts? and (4) how to explain the context effects? Finally, the implications of the analysis of the studies on the problem of context were discussed in terms of recent development of science education, such as misconception studies, STS science education and the application of the history of science to science teaching.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.10
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• pp.1079-1085
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• 2014

The analysis of the variable continuous big data stram should reach the destination context awareness. This study presented a novel way of context inference of the variable data stream from sensor motes. For assessment of the sensor data, we calculated the difference of each measured value at the time window and determined the belief value of each focal element. It was beneficial that calculate and assessment of factor of situation for context inference with the Dempster-Shfer evidence theory.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.3
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• pp.77-86
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• 2009

This paper proposes an ontology-based context-aware home healthcare platform employing environmental factors obtained from home. The proposed platform manages the health of home residents, and notifies relatives or a medical team of critical condition through context-awareness based on home ontology by using information sensed from various sensors. The ontology definition of context-awareness from the sensed information provides technically more precise decision for us. Therefore the platform can be aware of the health state of residents and environment by reasoning exactly from data gathered from various sensors and heterogeneous devices. The platform also can individually provide the customized service for users by setting priority for critical status that can be occurred in the health state of residents.

• The Mathematical Education
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• v.41 no.3
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• pp.329-339
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• 2002

This study analyzes the epistemological meaning of‘social construction’in mathematical instruction. The perspective that consider the cognition of mathematical concept as a social construction is explained by a cyclic scheme of an academic context and a school context. Both of the contexts require a public procedure, social conversation. However, there is a considerable difference that in the academic context it is Lakatos' ‘logic of mathematical discovery’In the school context, it is Vygotsky's‘instructional and learning interaction’. In the situation of mathematics education, the‘society’which has an influence on learner's cognition does not only mean‘collective members’, but‘form of life’which is constituted by the activity with purposes, language, discourse, etc. Teachers have to play a central role that guide and coordinate the educational process involving interactions with learners in this context. We can get useful suggestions to mathematics education through this consideration of the social contexts and levels to form didactical situations of mathematics.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2007.05a
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• pp.98-100
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• 2007

네덜란드의 TU Delft에서는 컨텍스트 매핑 연구(Context mapping study)를 통해 사용자의 경험을 자연스럽게 얻어 낼 수 있는 방법을 제안해 왔다. 그러나 이 방법은 서양권에 있는 사용자들을 중심으로 연구 결과가 발표되었으며, 한국인이 대상이 된 논문에서는 일반인을 대상으로 한 실험 참여의 적극성 부족이라는 한계를 드러내었다. 본 사례 연구는 컨텍스트 매핑(Context mapping)을 한국 사용자들에게 실험설계를 하며, 이 전 연구들에게서 발견되었던 소극적 자기 표현 특성을 어떻게 개진할 수 있는지 연구하였다. 특히 컨텍스트 매핑(Context mapping)의 센시타이징(sensitizing) 단계에서 한국 사용자들에게서 발견되었던 사용자 조사 방법의 한계점을 다소 극복할수 있는 하나의 방안으로 제시할 수 있는 가능성이 발견되었다.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1510-1515
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• 2005

This paper is concerned with a Logic-based Fuzzy Neural Networks (LFNN) with the aid of fuzzy granulation. As the underlying design tool guiding the development of the proposed LFNN, we concentrate on the context-based fuzzy clustering which builds information granules in the form of linguistic contexts as well as OR fuzzy neuron which is logic-driven processing unit realizing the composition operations of T-norm and S-norm. The design process comprises several main phases such as (a) defining context fuzzy sets in the output space, (b) completing context-based fuzzy clustering in each context, (c) aggregating OR fuzzy neuron into linguistic models, and (c) optimizing connections linking information granules and fuzzy neurons in the input and output spaces. The experimental examples are tested through two-dimensional nonlinear function. The obtained results reveal that the proposed model yields better performance in comparison with conventional linguistic model and other approaches.

• Asia pacific journal of information systems
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• v.16 no.1
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• pp.45-69
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• 2006

Technology Acceptance Model (TAM) has been widely used to predict user's behavior to accept the technology. Prior researches have been mainly focused on innovation constructs such as perceived usefulness and perceived ease of use. However, very little research has been conducted to understand individual mental beliefs in technology acceptance and imitation influence. This study integrates Technology Acceptance Model (TAM), Flow Theory (FT) and Diffusion of Innovation Theory (DIT). This paper indicates that imitation context, cognitive absorption (CA) based Flow theory and innovation context are the three important factors influencing user acceptance of information technologies. The proposed model has been tested among 232 users of MP3 players. Results showed that innovation context and cognitive absorption have positive influences on intention to use technology. Not all factors of the imitation context have direct effect on intention to use. However, we found that imitation context has positive influence on intention to use technology through cognitive absorption.

• Journal of IKEEE
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• v.11 no.4
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• pp.279-282
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• 2007

In this paper, we introduce the general way for producing context information to support context-aware applications. It can fetch raw data from the service environments, translate it to reasonable context information, and provide to multiple applications. It is designed originally for the ubiquitous computing middleware and based on the ontology processing model. Automated service applications can use this system as the form of libraries or of web services for deciding its semantic cause of action.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.1
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• pp.113-118
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• 2014

Recently, a few studies on context information have been focused to collect phenomena data like a temperature and a humidity in indoor environments. The importance of the former is increasingly recognized with changing environments and increase of heat stress in building. In this paper we present an indoor comfort index framework based on GIS for supporting context information instead of phenomena data in environments. We also present method for supporting comfort index and context information based on GIS in outdoor environments.