• Journal of the Korean earth science society
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• v.25 no.8
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• pp.656-662
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• 2004

The purposes of this study was to analyze the knowledge sources and of high school students' responses on tasks in scientific context and tasks in everyday context, and was to investigate the relationship between the consistency of responses and cognitive style. One hundred fifteen students participated in study. The students were asked to solve ten paris of problems about several concepts of circulation of atmosphere and water. Each pair of the problems consisted of two questions which were about the same concept but were about different context. That is to say, one questions related to scientific context and the other related to everyday context. Every questions included one subquestion in other to investigate the students' sources of knowledge. The students' responses on two questions in each problem were analyzed in order to compare the sources of knowledge and examine the influence of task context. The results of the study can be summarized as follows: First, students' knowledge sources varied by task contexts. That is to say, the students selected 'Science activities in school' as main source in questions related scientific context and chose 'Experience in daily life' as main source in questions related to everyday context. Second, inconsistency score on all paris of problem was significantly higher than consistency score (p<.01). This result indicated students' responses were much dependent on context. third, field-dependent students were more dependent on context, considering higher inconsistency score than field-dependent ones.

• Education of Primary School Mathematics
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• v.27 no.1
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• pp.91-110
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• 2024

The purpose of this study is to explore visual models for deriving the fractional division algorithm, to see how students understand this integrated model, the rectangular partition model, when taught in elementary school classrooms, and how they structure relationships between fractional division situations. The conclusions obtained through this study are as follows. First, in order to remind the reason for multiplying the reciprocal of the divisor or the meaning of the reciprocal, it is necessary to explain the calculation process by interpreting the fraction division formula as the context of a measurement division or the context of the determination of a unit rate. Second, the rectangular partition model can complement the detour or inappropriate parts that appear in the existing model when interpreting the fraction division formula as the context of a measurement division, and can be said to be an appropriate model for deriving the standard algorithm from the problem of the context of the inverse of a Cartesian product. Third, in the context the inverse of a Cartesian product, the rectangular partition model can naturally reveal the calculation process in the context of a measurement division and the context of the determination of a unit rate, and can show why one division formula can have two interpretations, so it can be used as an integrated model.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.299-304
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• 2006

기존에 개발된 사용자 선호 정보를 이용한 TV 추천 시스템은 대부분 사용자의 명시적인 요구에 따라 방송 프로그램을 추천하는 데 중점을 두고 개발되었다. 하지만, 유비쿼터스 환경이 도래함에 따라서 사용자의 요구에 따라 반응하는 수동적인 서비스 보다는 상황정보(Context)를 활용하여 능동적인 서비스를 지원할 수 있는 기술이 필요하다. 따라서 본 논문에서는 CAMUS(Context-Aware Middleware for URC Systems) 상황인식 미들웨어를 이용하여 사용자 위치 상황정보에 따라 능동적으로 추천할 수 있는 TV 추천 서비스 에이전트를 제안한다. 제안된 시스템은 CAMUS 기반 서비스 에이전트와 태스크를 구현함으로써, 상황정보에 따라 능동적으로 다채널에서 방송되는 프로그램 및 사용자의 선호도 정보를 분석하여 사용자가 원하는 프로그램을 추천한다.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06a
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• pp.55-59
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• 2008

In the field of software reuse, several methods for storage and retrieval of assets abound. However, these methods often find their limits; they fail to turn up the suitable reusable assets that satisfy the needs of a particular software system under development. Two problems are the root cause of this situation. One is the lack of accurate semantics for describing software assets. The other is the ignorance of the user query context. In such a context, this paper presents an XML-based asset representation model for describing all kinds of software asset that can be reused within software development process. The proposed model provides semantic metadata for describing assets oriented user context in order to build the foundation for semantic reasoning in the retrieval process.

• Journal of Korea Multimedia Society
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• v.19 no.7
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• pp.1166-1178
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• 2016

In Internet of Things (IoT) environments, billions of interconnected devices and multimedia sensors generate a huge amount of multimedia traffic. Since the environment are in general deployed as a server-centric architecture wireless sensor networks could be bottlenecks between IoT gateways and IoT devices. The bottleneck causes high power consumption of the device and triggers very heavy network overload by transmission of sensing data. The deterioration could decrease the quality of multimedia streaming service due to delay, loss, and waste of device power. Thus, in this paper, we propose a context-based adaptive multimedia streaming scheme to support enhanced QoS and low power consumption in IoT environments. The goal of the scheme is to increase quality score per voltage of the streaming service, given an adaptation algorithm with context that are classified network and hardware such as throughput, RTT, and CPU usage. From the both context, the quality score per voltage is used in the comparison of a only network context-based adaptive multimedia streaming scheme, a fixed multimedia streaming and our scheme. As a result, we achieves a high improvement that means the quality score per voltage is increased up to about 4, especially in case of resolution change.

• Journal of Intelligence and Information Systems
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• v.17 no.3
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• pp.43-61
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• 2011

In this research, we propose a dynamic decision making using social context based on ontology. Dynamic adaptation is adopted for the high qualified decision making, which is defined as creation of proper information using contexts depending on decision maker's state of affairs in ubiquitous computing environment. Thereby, the context for the dynamic adaptation is classified as a static, dynamic and social context. Static context contains personal explicit information like demographic data. Dynamic context like weather or traffic information is provided by external information service provider. Finally, social context implies much more implicit knowledge such as social relationship than the other two-type context, but it is not easy to extract any implied tacit knowledge as well as generalized rules from the information. So, it was not easy for the social context to apply into dynamic adaptation. In this light, we tried the social context into the dynamic adaptation to generate context-appropriate personalized information. It is necessary to build modeling methodology to adopt dynamic adaptation using the context. The proposed context modeling used ontology and cases which are best to represent tacit and unstructured knowledge such as social context. Case-based reasoning and constraint satisfaction problem is applied into the dynamic decision making system for the dynamic adaption. Case-based reasoning is used case to represent the context including social, dynamic and static and to extract personalized knowledge from the personalized case-base. Constraint satisfaction problem is used when the selected case through the case-based reasoning needs dynamic adaptation, since it is usual to adapt the selected case because context can be changed timely according to environment status. The case-base reasoning adopts problem context for effective representation of static, dynamic and social context, which use a case structure with index and solution and problem ontology of decision maker. The case is stored in case-base as a repository of a decision maker's personal experience and knowledge. The constraint satisfaction problem use solution ontology which is extracted from collective intelligence which is generalized from solutions of decision makers. The solution ontology is retrieved to find proper solution depending on the decision maker's context when it is necessary. At the same time, dynamic adaptation is applied to adapt the selected case using solution ontology. The decision making process is comprised of following steps. First, whenever the system aware new context, the system converses the context into problem context ontology with case structure. Any context is defined by a case with a formal knowledge representation structure. Thereby, social context as implicit knowledge is also represented a formal form like a case. In addition, for the context modeling, ontology is also adopted. Second, we select a proper case as a decision making solution from decision maker's personal case-base. We convince that the selected case should be the best case depending on context related to decision maker's current status as well as decision maker's requirements. However, it is possible to change the environment and context around the decision maker and it is necessary to adapt the selected case. Third, if the selected case is not available or the decision maker doesn't satisfy according to the newly arrived context, then constraint satisfaction problem and solution ontology is applied to derive new solution for the decision maker. The constraint satisfaction problem uses to the previously selected case to adopt and solution ontology. The verification of the proposed methodology is processed by searching a meeting place according to the decision maker's requirements and context, the extracted solution shows the satisfaction depending on meeting purpose.

• English Language & Literature Teaching
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• v.12 no.1
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• pp.55-75
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• 2006

This paper attempts to discuss the complex nature of social contexts regarding English language education in Korean middle school and to demonstrate the affective factors that should be considered to find appropriate approaches within the context. To do this, a questionnaire survey was conducted among 85 middle school students regarding learners' motivation, and attitudes toward EFL learning. Additionally, teachers in secondary school were asked about the general circumstances of English language education. Findings indicate that in spite of the participants' high instrumental motivation, they rather show a negative attitude toward English learning. This paper intends to raise practitioners' attention to the fact that the effect of learners' affective variables on EFL learning seems distinctive depending on the host country's EFL contexts.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2006.06a
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• pp.133-140
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• 2006

유비쿼터스 컴퓨팅 기술이 발전함에 따라 상황인지는 유비쿼터스 환경을 구성하는 중요한 요소들 중의 하나로 안정되고 있다. 그러나 아직까지 모든 유비쿼터스 컴퓨팅 환경에 적용될만한 일반적인 상황모형 (generic context model)은 제시되지 못하고 있다. 따라서 본 논문의 목적은 혼합형 다단계(hybrid multi-level) 다이어그램을 이용해 보다 적합한 일반적 상황모형을 제안하는 것이다. 이를 위해 먼저 기존의 다양한 상황 모형들을 분석하고 이를 토대로 유비쿼터스 지능 공간에서의 컴퓨팅 시스템 환경에 적합한 일반적 상황모형을 제안하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.251-254
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• 2005

계층적 개념구조는 대상 도메인으로부터 지식을 표현하는데 있어서 간결하면서도 효과적으로 개념간의 구조를 설명하기 위해 사용되고, 데이터의 구조화와 요약을 제공하며 필요한 정보의 수월한 접근을 제공하기 위해 널리 적용되고 있다. 그러나, 대상도메인으로부터 계층적 개념구조를 구축하기 위해서는 많은 시간과 노력이 요구된다. 따라서 계층적 개념구조를 효율적으로 구축하기 위한 체계가 필요하다. 본 논문에서는 계층적 개념구조를 체계적으로 구축하기 위한 형식개념분석기법(FCA, Formal Concept Analysis)을 토대로, Many-valued context와 Scaling을 자동화하기 위한 도구로써 본 연구에서 개발된 FCA Wizard를 소개한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.97-99
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• 2013

Various display devices become widespread now. Endeavoring to provide high-quality user experience, sharing contents becomes a hot issue in recent years. In this paper, a Contents Sharing System based on Users Context is proposed, which can provide pervasive contents sharing services on multiple devices with disregard for the device differences. This system supporting automatical contents sharing according to users' context, and intelligent content-fault recovery to provide an intelligent platform for users sharing service seamlessly without additional manual operations. Also we points out the problems and considerations about this proposed system which will be improved in the later research.