• International Journal of Contents
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• 제11권2호
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• pp.63-68
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• 2015

A citation analysis utilizes the relations among citations and is the most popular bibliometric method. This analysis is based on 1) the evaluation by paper, journal and researcher of the research output, 2) the identification of emerging research topics, 3) the production of a map of the intellectual structure of the research domain and 4) various services for academic information. However, this approach has a limitation in that a citation is treated in a very simple manner, even though the purpose of citation can vary greatly. To address this problem, new approaches have been studied that take into account the citation context. This research separates the citations according to the citation functions and tries to conduct an analysis according to the newly classified citations. Furthermore, research on the citation summarization and visualization based on both the citation context and the citation function of the citations was also attempted. However, since there are very few studies related to citation context in South Korea, more research and development is needed in this area. This study analyzes the status of the research in terms of the citation context. For this, we utilized social network analysis methods.

• International journal of advanced smart convergence
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• 제10권2호
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• pp.21-30
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• 2021

With the rapid development of artificial intelligence and big data, a lot of medical data is effectively used, and the diagnosis and analysis of diseases has entered the era of intelligence. With the increasing public health awareness, ordinary citizens have also put forward new demands for panic disorder health services. Specifically, people hope to predict the risk of panic disorder as soon as possible and grasp their own condition without leaving home. Against this backdrop, the smart health industry comes into being. In the Internet age, a lot of panic disorder health data has been accumulated, such as diagnostic records, medical record information and electronic files. At the same time, various health monitoring devices emerge one after another, enabling the collection and storage of personal daily health information at any time. How to use the above data to provide people with convenient panic disorder self-assessment services and reduce the incidence of panic disorder in China has become an urgent problem to be solved. In order to solve this problem, this research applies the context awareness to the automatic diagnosis of human diseases. While helping patients find diseases early and get treatment timely, it can effectively assist doctors in making correct diagnosis of diseases and reduce the probability of misdiagnosis and missed diagnosis.

• International Journal of Advanced Culture Technology
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• 제9권4호
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• pp.417-423
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• 2021

Recently, in the Game industries, they are increasing to use of game engines to reduce the development cost of 3D content and software. In particular, Unreal Engine provides a blueprint visual scripting function that enables software production without programming (coding). Although High-end video content can be produced, the problem is that content development is complicated and requires advanced manpower. To solve this problem, we propose an optimized VR game context process. This is because 1) a Blueprint visual script is used, 2) VR games with various interactions can be produced, 3) Non-majors in the software field (or groups) can develop advanced content. In various related industries such as defense, medical care, manufacturing, and construction, we may easily develop any game content without programming with our refined VR rhythm action game development process. We expect to reduce the development cost with the process advantages in the game industries.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제11권2호
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• pp.127-141
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• 2007

This paper compares and analyzes mathematics teachers' understanding of students' mathematical comprehension after experiences with the Cognitively Guided Instruction (CGI) or the Development of Mathematical Ideas (DMI) teaching strategies. This report sheds light on current issues confronted by the educational system in the context of mathematics teaching and learning. In particular, the declining rate of mathematical literacy among adolescents is discussed. Moreover, examples of CGI and DMI teaching strategies are presented to focus on the impact of these teaching styles on student-centered instruction, teachers' belief, and students' mathematical achievement, conceptual understanding and word problem solving skills. Hence, with a gradual enhancement of reformed ways of teaching mathematics in schools and the reported increase in student achievement as a result of professional development with new teaching strategies, teacher professional development programs that emphasize teachers' understanding of students' mathematical comprehension is needed rather than the currently dominant traditional pedagogy of direct instruction with a focus on teaching problem solving strategies.

• Journal of Communications and Networks
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• 제13권2호
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• pp.95-101
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• 2011

Extended life expectancy and a decrease in fertility rates are dramatically increasing the number of seniors who will eventually need professional care assistance. Although there is no clear technical solution to this problem, recent advances in ubiquitous computing offer opportunities to assist elders in their residence, thus reducing the need for professional assistance in special facilities. There have been several studies, but current solutions tend to address specific issues and cannot be easily extended, updated, and customized to meet the complex and evolving requirements of eldercare assistance. This study aims to bridge this gap, and this paper presents a context-management framework, called awareness for pervasive environments (APE), that provides easily customizable support for the development of ubiquitous eldercare services and applications.

• 한국수학교육학회지시리즈A:수학교육
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• 제53권3호
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• pp.357-381
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• 2014

This study analyzed the cases of three teacher communities participating in an innovative professional development program and clarified the characteristics and the process of lessons for mathematics-oriented convergence that were developed and applied during the program. Each of the teacher communities designed and implemented lessons according to the context of each community and the concept of lessons for mathematics-oriented convergence were developed and refined. The lessons developed by the three teacher communities were characterized as convergence problem posing lessons using technology, convergence of various subject content focused on mathematical concepts through team teaching, and convergence lessons according to students' achievement levels. The program contributed to teacher community activities by proving sustainable professional development in the area of convergence education, a connection between the content of their professional development and the context of the field, and opportunities for active participation in the process of developing and implementing the convergence lessons.

• 한국의류학회지
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• 제40권2호
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• pp.397-408
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• 2016

This study explores factors that influence the development of creative ideas among apparel design students. This research is to understand how past experience (especially in art and design), influences the development of creative ideas in apparel design. The interaction between two related elements of student experience and work process is explored. A design process model based on Wallas's (1926) creative problem-solving process and Koberg and Bagnall's (1974) design process was used in the context of a beginning-level apparel design course comprised of Korean and Chinese students at a university in Seoul, South Korea. The results show that students with past experience in art and/or design performed differently than inexperienced students when faced with the same stimulation. Significant differences were also observed between experienced and inexperienced students in the development of creative ideas.

• 한국생활과학회지
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• 제5권2호
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• pp.1-16
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• 1996

This study has examined multiple influences of several variables on parenting behavior by looking into illustrative studies. This study provides support to the view that various factors influence parenting and that parenting behavior is multiply determined. Characteristics of parents, children and the context in which parent-child relations occur cause different childrearing patterns among parents. This study can be summarized as follows: 1) Parental behavior is influenced to a large degree by what the parent brings to the situation. In other words, characteristics of the parent including personality characteristics, interpersonal skills, problem-solving skills, level of maturity, values and childrearing beliefs contribute to individual differences in parenting. 2) The parent's relationship history influences the personality characteristics that the parent brings to his or her adult roles. To understand who the parent is today, we have to look at who the parent was, and what the parent was doing in the years prior to parenthood. That is, we need to see the life course of the individual before parenthood. 3) Contextual variables including the immediate context and the larger context have proved to influence parental behaviors. Characteristics of the immediate context such as the quality of marital rationship can influence the parent's psychological well-being and his or her behavior toward the childen while characteristics of the larger context such as the economic situation and the neighborhood can influence the level of stress experienced by the parent and cosequently how the parent relates to his or her child. 4) In order to understand the development of the parent-child relationship we need to look at the characteristics of the child. Children may elicit positive behaviors from their parents, or they may possess characteristics that the parents find aversive thus leading to difficulties in the relationship. Therefore, much depends on the fit beween the characteristics of the parents and characteristics of the child. By examining multiple contemporaneous influences on parenting, this study could deepen the understanding of why parents have different childrearing patterns, why some parents fail to meet their children's demands and why parents act in certain ways. What we ultimately hope is that as we learn more about parenting and the development of parent-child relationships, we will be better able to provide parents with the supports they need to achieve their parenting goals.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권2호
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• pp.383-403
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• 2021

With the development of mobile edge computing (MEC), some late-model application technologies, such as self-driving, augmented reality (AR) and traffic perception, emerge as the times require. Nevertheless, the high-latency and low-reliability of the traditional cloud computing solutions are difficult to meet the requirement of growing smart cars (SCs) with computing-intensive applications. Hence, this paper studies an efficient offloading decision and resource allocation scheme in collaborative vehicular edge computing networks with multiple SCs and multiple MEC servers to reduce latency. To solve this problem with effect, we propose a context-aware offloading strategy based on differential evolution algorithm (DE) by considering vehicle mobility, roadside units (RSUs) coverage, vehicle priority. On this basis, an autoregressive integrated moving average (ARIMA) model is employed to predict idle computing resources according to the base station traffic in different periods. Simulation results demonstrate that the practical performance of the context-aware vehicular task offloading (CAVTO) optimization scheme could reduce the system delay significantly.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 춘계학술대회
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• pp.198-201
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• 2022

최근 신기술 대상 신종 사이버 위협이 증가하고 있으며, 해커의 공격 표적도 광범위해지고 지능화되고 있다. 이러한 공격에 대응하기 위해 주요 보안 기업들은 전통적인 EDR(Endpoint Detection and Response) 중심의 솔루션을 활용하고 있다. 하지만 종래 방식은 컨텍스트를 고려하지 않아서 지능형 공격에 대한 대응 정확도와 효율성에 한계가 있다. 이 문제를 개선하기 위해 최근 XDR(Extended Detection and Response) 중심의 보안 솔루션의 필요성이 대두되었다. 본 연구에서는 머신러닝 기반의 컨텍스트 분석을 활용한 XDR 동향과 발전 로드맵을 통해 변화하는 환경에 효율적인 위협탐지와 대응방안을 제시한다.