• Journal of Information Technology Applications and Management
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• v.14 no.2
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• pp.11-26
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• 2007

In this paper we suggest a context-driven configuration model of virtual businesses to form a business network model consisting of role-based, interaction-centered business partners. The model makes use of the subcontext concept which explicitly represents actors and interactions in virtual business (VB) context. We separate actors who have capacities on tasks in a specific kind of role and actor subcontext which models requirements in specific interaction subcontext. Three kinds of actors are defined in virtual service chains, service user, service provider, and external service supporter. Interaction subcontext models a service exchange process between two actor subcontexts with consideration of context dependencies like task and quality dependencies. Each subcontext may be modeled in the form of a situation network which consists of a finite set of situation nodes and transitions. A specific situation is given in a corresponding context network of actors and interactions. It is illustrated with a simple example.

• Journal of Educational Research in Mathematics
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• v.22 no.2
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• pp.137-162
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• 2012

Learning graphical representations for statistical data requires understanding of the context related to measurement in statistical investigation since the choice of representation and the features of the selected graph to represent the data are determined by the purpose and context of data collection and the types of the data collected. This study investigated whether middle school students can think critically about measurement and scales integrating contextual knowledge and statistical knowledge. According to our results, the students lacked critical thinking related to measurement process of data and scales of graphical representations. In particular, the students had a tendency not to question upon information provided from data and graphs. They also lacked competence to critique data and graphs and to make a flexible judgement in light of context including statistical purpose.

• Fashion & Textile Research Journal
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• v.25 no.1
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• pp.41-51
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• 2023

This study attempted to analyze the context characteristics and consumer characteristics that affect fashion curation shopping. The data used for this study were 223 questionnaires targeting male and female college students in their 20s in Busan and South Gyeongsang Province who had had the curated shopping experience in the latest three months. The SPSS program was used for the data analysis, and a reliability measurement, factor analysis, multiple regression analysis, T-test, and one-way ANOVA were conducted. The results were as follows. First, fashion curation shopping exhibited three factors: product subscription, marketing use, and product recommendation shopping. Furthermore, the context characteristics had sub concepts of five factors: selection, sharing, experience, discovery, and storage. Second, the context characteristics (selection, sharing, experience, discovery, and storage) had a significant influence on product subscription, marketing use, and product recommendation, which belong to the curation shopping category. Third, the fashion consumers' price sensitivity, trend sensitivity, and product knowledge had a deep impact on the marketing use and product recommendation. Fourth, there was no difference in the fashion curation shopping by male and female consumers and the average monthly fashion shopping frequency, and there were differences in shopping cost and time. This study can analyze the context and consumer characteristics that affect fashion curation shopping to establish an efficient fashion curation shopping system in practical terms. Additionally, academically, it can be proposed as basic data on the development of measurement tools for analyzing consumer behavior that prefers fashion curation shopping.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2007.11a
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• pp.353-356
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• 2007

로봇 시스템에서 지적 활동의 중심적 자료구조가 될 공유 메모리를 이용하여 로봇을 이루는 여러 Component Agent가 수집한 Context들과 산출된 Data들을 모아 Mental State를 구축한다. 로봇 Agent를 이루는 모든 컴포넌트들 간의 Data 교류는 Mental State를 통하여 일어나고, Reactive Layer와 Deliberative Layer로 구분 된 로봇을 구성하는 Agent들은 상황에 다라 변화된 context와 data값을 실시간으로 Mental State에 기록, 갱신한다. 이를 통하여 실시간 미션 수행 로봇이 효과적으로 목표를 수행할 수 있는 시스템 구조를 제시하고자 한다. 또한, 이러한 구조를 적용한 자가위치탐지 자율주행 로봇의 구현을 통해 본고에서 제시한 시스템 구조의 실현 가능성을 보이고자 한다.

• The Journal of the Korea Contents Association
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• v.7 no.4
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• pp.74-82
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• 2007

Context awareness using intelligent system is emphasized in order to provide automatic services in home automatic system. In this paper, we propose the intelligent context-aware system for home automation. To implement home automation, we first collect various events occuring in user's home, which are saved as a case form. We use the saved data as a training data of a neural network algorithm and then apply to intelligent context aware system for home automation. This system provide "right situations do right things" for user. Also this system has intelligent ability.

• The Journal of the Korea institute of electronic communication sciences
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• v.4 no.2
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• pp.101-107
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• 2009

Modern society encounters various accidents due to industrialization and numbers of studies are going on to minimize damage from accidents. For prevention of accidents, it is necessary to design a system that helps making accurate judgment in emergency cases and is able to instantly manage each contingency. Various studies are currently going on contingency information system under ubiquitous environment. However, there have not been sufficient studies on the system that is able to monitor and process multiple contingencies and thus we still have difficulties in coping with multiple contingencies promptly. This study designs a RFID/USN middleware system for multiple contingencies control that receives data from various kinds of sensors and saves data after time marking thus is able to provide conjectured context when requested.

• International Journal of Internet, Broadcasting and Communication
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• v.9 no.4
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• pp.44-50
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• 2017

To understand whether Falling, which is one of the causes of injuries, occurs, various behavior recognition research is proceeding. However, in most research recognize only the fact that Falling has occurred and provide the service. As well as the occurrence of the Falling, the risk varies greatly based on the type of Falling and the situation before and after the Falling. Therefore, when Falling occurs, it is necessary to infer the user's current situation and provide appropriate services. In this paper, we propose to base on Fog Computing and Cloud Computing to design Context-aware System using analysis of behavior data and process sensor data in real-time. This system solved the problem of increase latency and server overload due to large capacity sensor data.

• Journal of Korea Multimedia Society
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• v.20 no.2
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• pp.371-381
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• 2017

The performance of the statistical context-sensitive spelling error correction depends on the quality and quantity of the data for statistical language model. In general, the size and quality of data in a statistical language model are proportional. However, as the amount of data increases, the processing speed becomes slower and storage space also takes up a lot. We suggest the improved statistical language model to solve this problem. And we propose an effective spelling error candidate generation method based on a new statistical language model. The proposed statistical model and the correction method based on it improve the performance of the spelling error correction and processing speed.

• Journal of Korean Academy of Nursing
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• v.34 no.5
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• pp.881-890
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• 2004

Purpose: The purpose of this study was to explore women caregivers' lived experiences in caring at home for a family member with dementia and to identify conditions that oppress women in the context of family caregiving. Method: This study was conducted within the feminist perspectives using qualitative secondary data. Ten secondary data conveying self reflective contents were selected from the 25 original data obtained in 1999 to 2000. Result: Six themes that emerged from the qualitative thematic content analysis were; androcentric view of family caregiving, undervalued family caregiving by the family members, Self rationalization in the context of family caregiving, family-centric care mechanism, exemplary caring within the family context, and inter-familial relationships among women. Conclusion: The main focus of feminist research is to provide empowerment for the women, research participants and to bring about social change of oppressive constraint through some actions. On the basis of the research findings, therefore, action strategies from feminist perspectives were suggested in some aspects of health care delivery sectors, nursing education and research sectors, and administrative sectors.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.3
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• pp.465-470
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• 2013

Dempster-Shafer Evidence Theory is available for multi-sensor data fusion. Basic Probability Assignment is essential for multi-sensor data fusion using Dempster-Shafer Theory. In this paper, we proposed a novel method of BPA calculation with signal assessment. We took notice of the signal that reported from the sensor mote at the time slot. We assessed the variation rate of the reported signal from the terminal. The trend of variation implies significant component of the context. We calculated the variation rate of signal for reveal the relation of the variation and the context. We could reach context inference with BPA that calculated with the variation rate of signal.