• Education of Primary School Mathematics
• /
• v.20 no.1
• /
• pp.85-99
• /
• 2017

In order to improve mathematical problem-solving ability, there has been a need for research on practical application of meta-affect which is found to play an important role in problem-solving procedure. In this study, we analyzed the characteristics of the sociodynamical aspects of the meta-affective factor of the successful problem-solving procedure of small groups in the context of collaboration, which is known that it overcomes difficulties in research methods for meta-affect and activates positive meta-affect, and works effectively in actual problem-solving activities. For this purpose, meta-functional type of meta-affect and transact elements of collaboration were identified as the criterion for analysis. This study grasps the characteristics about sociodynamical function of meta-affect that results in successful problem solving by observing and analyzing the case of the transact structure associated with the meta-functional type of meta-affect appearing in actual episode unit of the collaborative mathematical problem-solving activity of elementary school students. The results of this study suggest that it provides practical implications for the implementation of teaching and learning methods of successful mathematical problem solving in the aspect of affective-sociodynamics.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2016.10a
• /
• pp.693-694
• /
• 2016

최근 스마트폰과 같이 개인화 서비스가 가능한 스마트 디바이스들이 급격히 보급되며 추천가 시스템에 대한 관심이 증가하고 있다. 그러나 활용 방안이 광범위함에도 불구하고 마케팅 등의 특정 분야에 한정되어 있거나 기술이 저수준에 머물러 있어 국내의 추천가 시스템은 아직 도입단계에 불과하다. 추천가 시스템은 어떠한 정보를 사용하는지에 따라 크게 내용 기반 필터링과 협업 필터링 두 가지로 분류한다. 본 연구에서는 메뉴 추천 분야에서 유저의 메뉴 선택이 주변 상황에 큰 영향을 받는다는 것에 착안해, 인근 유저와의 메뉴 선택 정보를 반영하는 협업 필터링과 사용자 개인의 취향에 최적화된 메뉴를 제공하는 내용 기반 필터링을 결합하는 방식으로 두 가지 필터링 기법을 결합한 메뉴 추천 시스템인 UBCRS(User-Based Collaborative Recommend System)를 제안한다.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.9 no.2
• /
• pp.556-563
• /
• 2008

One of the most important issues of managing a supply chain is to determine the inventory level whenever shortage is permitted and vendor is responsible fur management of the both buyer and supplier's inventory. We present two vendor managed inventory models in the form of two-echelon supply chain models for: 1) one buyer-one supplier problem, and 2) two buyers- one supplier problem. We assume that shortage is permitted. The proposed methods of this paper provides a simple condition, which makes it easy to decide when and how vendor managed inventory model costs less than traditional one. The paper is supported with some numerical examples to show the implementation of the proposed methods.

• The Journal of the Korea Contents Association
• /
• v.13 no.10
• /
• pp.27-36
• /
• 2013

Recently, as researches on VANET have actively progressed, the convenient and reliable services can be provided to the vehicles. In this paper, we propose the collaborative RSU scheduling scheme using multiple RSUs which are connected through a wired backbone. The proposed scheme efficiently disseminates both unsafety data and safety data, and reduces the deadline miss rate and the average response time. When safety data is occurred, it is send to previous RSU in advance and is scheduled by deadline and reception rate. We provide the prevention technology for unsafety data when the workload is occurred in RSU because it is on-demand data processed by user requests. It is shown through performance evaluation that the proposed scheme outperforms the existing scheme in terms of the deadline miss rate and the average response time according to the number of vehicles and the velocities of vehicles.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.47 no.4
• /
• pp.11-17
• /
• 2010

In this paper, we propose a recommendation system for supporting self-directed programming language education. The system is a recommendation system using collaborative filtering based on learners' level and stage. In this study, we design a recommendation system which uses collaborative filtering based on learners' profile of their level and correlation profile between learning topics in order to increase self-directed learning effects when students plan their learning process in e-learning environment. This system provides a way for solving a difficult problem, that is providing programming problems based on problem solving ability, in the programming language education system. As a result, it will contribute to improve the quality of education by providing appropriate programming problems in learner"s level and e-learning environment based on teaching and learning method to encourage self-directed learning.

• Proceedings of the Korea Contents Association Conference
• /
• 2010.05a
• /
• pp.420-422
• /
• 2010

최근 질병 분석 및 신약을 개발하기 위한 단백질에 대한 연구는 생명 공학의 큰 테마 중 하나이다. 질병 및 단백질 데이터를 분석하기 위한 연구는 대용량의 데이터 처리를 요구하기 때문에 과거 실험을 통해 접근하던 방식에서 벗어나 최근 IT 기술의 결합을 통해 다양한 실험 데이터를 공유하고, 연계함으로써 연구를 가속화하고 있다. 하지만 생명 공학 연구자에게 있어서 IT 지식을 기반을 둔 단백질 분석 도구를 다루는데 많은 어려움이 있다. 이러한 문제를 해결하고자, IT 연구자와 생명 공학 연구자의 협업을 통한 데이터 분석 도구를 개발이 폭넓게 시도되고 있지만, 연구자 간의 협업을 도울 수 있는 통합 인프라는 전무한 실정이다. 본 논문에서는 IT 연구자와 생명 공학 연구자의 협업을 위한 인프라로서 컴포넌트 기반의 질병 및 단백질 데이터 분석 시스템을 설계하고 구현한다.

• Journal of Digital Contents Society
• /
• v.13 no.3
• /
• pp.439-449
• /
• 2012

Recently, many interactive artworks produce through convergence of art and scientific technology. Artists or designers should cooperate with other areas for analysis in order to share database. According to these requirements, In this study, we analyze Kandinsky's works which are more emphasis on subject area than the emphasis to background area by using a number of colors, faces, and brightness levels. Due to this approach, it determines how to represent for stable screen composition attracting viewer's eyes. As a result, the subject area has more a number of colors, faces, and brightness levels than the background area. In addition, we produce the interactive artwork based on the analyzed data. According to the requirement of convergence and collaboration in the historical background, this study will be able to contribute to make the collaboration by sharing common information between artists and professionals in other areas. In addition, it is expected that other production makers who do not have the background of arts education will be able to configure the visual screen.

• Journal of Information Technology and Architecture
• /
• v.9 no.1
• /
• pp.57-66
• /
• 2012

Recently, with a rapidly growing of the mobile content market, a variety of mobile-based applications are being launched. But mobile devices, compared to the average computer, take a lot of effort and time to get the final contents you want to use due to the restrictions such as screen size and input methods. To solve this inconvenience, a recommender system is required, which provides customized information that users prefer by filtering and forecasting the information.In this study, an tailored multi-information recommendation system utilizing a Personalized information recommendation system on smartphone is proposed. Filtering of information is to predict and recommend the information the individual would prefer to by using the user-based collaborative filtering. At this time, the degree of similarity used for the user-based collaborative filtering process is Euclidean distance method using the Pearson's correlation coefficient as weight value.As a real applying case to evaluate the performance of the recommender system, the scenarios showing the usefulness of recommendation service for the actual restaurant is shown. Through the comparison experiment the augmented reality based multi-recommendation services to the existing single recommendation service, the usefulness of the recommendation services in this study is verified.

• Journal of Practical Engineering Education
• /
• v.14 no.1
• /
• pp.91-97
• /
• 2022

Recently, as per a representative education method to develop core capabilities (such as critical thinking, communication, collaboration, and creativity) problem based learning (PBL) has been widely adopted in universities. Two important features of PBL are 'collaboration between team members' and 'participation based self-directed learning'. These two features should be satisfied in online education, although it is difficult due to the limitation on space and time in the COVID-19 pandemic. This paper presents a new design of PBL class in Metaverse, based on improving the online PBL class operated in the previous semesters in the H university. In the proposed PBL class, students are able to display materials (e.g., image, pdf, video files) in 3D virtual space, that are related to problem solving. The 3D virtual space is called gallery in this paper. The concept of gallery allows for active participation of students. In addition, the gallery can be used as a tool for collaborative meeting or for final presentation. If possible, the new design of PBL class will be applied and its effectiveness will be analyzed.

• Industry Promotion Research
• /
• v.9 no.3
• /
• pp.87-100
• /
• 2024

This study approached the factors affecting companies's sustainable growth by overcoming the valley of death after starting a business from the perspective of technology, market, location, cluster, and INC model, and conducted a case study on success and failure companies in Daedeok Cluster to explore the adequacy and suitability of the main factors of previous studies. The results of this study suggest that location accessibility-based collaboration between innovators is important for the growth of companies in the cluster, and balanced growth such as innovative ideas, market needs, and capability to meet needs is necessary for companies' products and services to create innovative value in the market. This study is worth in that it presents factors for sustainable corporate growth through the analyses of success and failure cases for companies in the Daedeok Cluster. In addition, the research is successful in that it proposed a policy support plan based on collaboration among companies to foster companies in the cluster.