• Journal of the Korean Society of Earth Science Education
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• v.17 no.2
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• pp.137-152
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• 2024

The purpose of this study is to develop a project-based learning program utilizing Earth science data and to evaluate its effects on students' knowledge-information processing competency and communication and collaboration competency. To achieve this, the ADDIE instructional design model was employed to create the program, which was then implemented with 75 second-year middle school students. The program's effectiveness was assessed using paired sample t-tests on the results of tests measuring knowledge-information processing competency and communication and collaboration competency. Additionally, reflection journals were analyzed to identify students' interest in and difficulties with the program. The study's conclusions are as follows: first, the Earth science data-based project learning program comprises three themes: 'Journey through the Planets of the Solar System,' 'I am a Marine Expert,' and 'Planning a Tidal Flat Experience Program.' Second, following the program's implementation, there was a significant improvement in the overall students' knowledge-information processing competency. Third, the program also led to a significant enhancement in students' communication and collaboration competency. Based on these findings, the study suggests the need for specific and continuous teacher support to provide students with successful experiences through the program, overcoming challenges in program implementation through collaboration with the information subject, and conducting research that microscopically analyzes students' interactions.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.237-239
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• 2014

다수 사용자의 스마트폰 사용패턴을 협업적인 방법으로 분석할 경우 모바일 기기에 대한 선호도 분석, 과몰입 정도 판단 등 다양한 관련 연구에 활용될 수 있다. 본 연구는 스마트폰의 사용패턴 분석을 통한 사용자 맞춤형 서비스 개발을 위하여 로그데이터를 추출하여 서버에 저장하는 시스템을 설계하고 구현하는 것을 목표로 한다. 사용자의 스마트 폰 로그데이터를 수집하기 위하여 모바일앱을 개발하고 모바일앱을 통해서 추출된 로그데이터를 저장할 서버 DB 를 구축하고 유사성 분석을 위한 협업필터링 엔진을 개발하였다. 개발된 시스템의 성능 평가를 위하여 일부 사용자에 대한 사용패턴 데이터셋 구축 실험을 수행하였으며 후속 연구를 위한 실험 환경을 설계하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.07a
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• pp.26-27
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• 2020

본 논문에서는 서로 다른 특성을 갖기 때문에 표준화가 어려운 엣지 플랫폼에서 동일한 머신 러닝 모델로도 확장 가능한 분석 서비스를 하기 위해, 마이크로서비스 기반으로 협업 분석 하는 설계 방법을 소개한다. 이를 위해 실제 사용자 분석 결과 적응적인 컨텐츠 서비스 시나리오를 고려하였다. 서로 다른 성능을 갖는 엣지가 협업하기 위해서 클라우드에서 제공 받는 어플리케이션을 마이크로 서비스화 하고 다수의 엣지에 해당 서비스를 분산 분포하여 연결한다. 해당 방법은 전체 서비스를 상호 독립적인 최소 구성 요소로 분할하고 모든 요소가 독립적으로 연동되어 타스크를 수행하게 하며 유사한 프로세스는 공유함으로서 상대적으로 성능이 떨어지는 엣지들간 협력으로 효율적인 분석 서비스 제공이 가능하도록 할 것이다.

• Journal of KIISE:Computing Practices and Letters
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• v.9 no.2
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• pp.146-157
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• 2003

Our experience with Internet-based scientific collaboratories indicates that they need to be user-extensible, allow users to add tools and objects dynamically to workspaces, per mit users to move work dynamically between private and shared workspaces, and be easily accessible on the Internet. We present the software architecture of a development environment, called Collaboratory Builder's Environment(CBE), for building collaboratories to meet such needs. CBE provides user extensibility by allowing a collaboratory to be constructed as a collection of collaborative applets. To support dynamic reconfiguration of shared workspaces, CBE uses the metaphor of room that can contain applets, users, and arbitrary data objects. Rooms can be used not only for synchronous collaboration but also for asynchronous collaboration by supporting persistence. For the access over the Internet room participants are given different roles with appropriate access rights. A prototype of the model has been implemented in Java and can be run from a Java-enabled Web browser. The implemented system had been used by 95 users including 79 space scientists around the world in a scientific campaign that ran for 4 days. The usage evaluation of the campaign is also presented.

• Journal of the Korea Convergence Society
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• v.10 no.12
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• pp.327-335
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• 2019

This study recognized the mutual collaborative characteristics among consultants as important factors in the performance of the government-supported consulting business, and wanted to look at the impact of the cooperative characteristics among consultants on the consulting performance. First, a research model was presented based on theoretical background, hypotheses were set up and surveyed, and hypotheses were verified by multi-circulation analysis. Among the collaboration characteristics among consultants, the most influential was mutual reliable followed by smooth communication, professional competence and role sharing. information sharing was rejected and was found to be relatively less affected than other variables. This can be seen as more important than the quantitative aspect of information sharing because of the collaborative nature of consultants who must work toward common goals. Collaboration among consultants has been positive when carrying out government-funded consulting projects, suggesting that quantitative characteristics should be considered based on the qualitative characteristics based on mutual reliable. In the future, we hope that this data will be useful for identifying collaborative characteristics among consultants when carrying out consulting projects.

• Journal of Internet Computing and Services
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• v.14 no.6
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• pp.95-105
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• 2013

Recently, SME's Collaboration activities have become one of a vital factor for sustaining competitive edge. This is because of the rapidly changing and competitive market environment, and also to leverage performance by overcoming obstacles of having limited internal resources. Discussing about the effects and relationships of the firm's collaboration activities and its outputs are not new. However, as ICT and various technologies have been diffused into the traditional industries, boundaries and practice capabilities within the industries are becoming ambiguous. Thus contents of the products/services and their development methods are also go and come over the industries. Although many researchers suggested the relations of SME's collaboration activities and innovation performances, most of the previous literatures are focusing on broad perspectives of firm's environmental factors rather than considering various SME's idiosyncrasy factors such as their major product and customer types at once. Therefore, the purpose of this paper is to analyze how SME(Small Medium Enterprise)'s external collaboration activities by their idiosyncrasy act as an input to types of innovation performance. In order to analyze collaboration effects in detail, we defined factors that can represent the SME's business environment - Perceived importance of using external resources, Perceived importance of external partnership, Collaboration and Collaboration levels of Major Product types, Customer types and lastly the Firm Sizes. We have also specifically divided the performance of innovation types as product innovation and process innovation based on existing research. In this study, the empirical analysis is based on Probit Regression Model to observe the correlations with the impact of each SME's business environment and their activities. For the empirical data, 497 samples were collected which, this sample data was extracted from the 'Korean Open Innovation Survey' performed by ETRI(Korean Electronics Telecommunications Research Institute) in 2010. As a result, empirical test results indicated that the impact of collaboration varies depend on the innovation types (Product and Process Innovation). The Impact of the collaboration level for the product innovation tend to be more effective when SMEs are developing for a final product, targeting on for individual customers (B2C). But on the other hand, the analysis result of the Process innovation tend to be higher than the product innovation, when SMEs are developing raw materials for their partners or to other firms targeting on for manufacturing industries(B2B). Also perceived importance of using external resources has effected to both product and process innovation performance. But Perceived importance of external partnership was statistically insignificant. Interesting finding was that the service product has negative effects on for the process innovation performance. And Relationship between size of the firms and their external collaboration activities with their performance of the innovations indicated that the bigger firms(over 100 of employees) tend to have better for both product and process innovations. Finally, implications of the results can be suggested as performance of innovation can be varied depends on firm's unique business idiosyncrasy as well as levels of external collaboration activities. The Implication of this research can be considered for firms in selecting an appropriate strategy as well as for policy makers.

• The KIPS Transactions:PartD
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• v.15D no.3
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• pp.421-428
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• 2008

Collaborative filtering is a popular technique used for the recommendation system, but its performance, especially the accuracy of recommendation, depends on how to define the reference group. This paper proposes a new contents recommendation scheme based on collaborative filtering technique whose reference groups are created by consumer's affection and consumption type in order to improve the accuracy of recommendation. In this paper, joy, sadness, anger, happiness, and relax are considered as the consumer's affection. And, low-utility / low-pleasure, low-utility / high-pleasure, high-utility / low-pleasure, and high-utility / high-pleasure are considered as the consumer's shopping types. Experimental results show that the proposed scheme improves the accuracy of recommendation compared to the recommendation scheme considering neither consumer's affection nor consumption type.

• KIISE Transactions on Computing Practices
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• v.22 no.10
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• pp.504-512
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• 2016

In this paper, we propose a personalized event recommendation scheme using user's activity analysis and collaborative filtering in social network environments. The proposed scheme predicts un-evaluated attribute values through analysis of user activities, relationships, and collaborative filtering. The proposed scheme also incorporates a user's recent preferences by considering the recent history for the user or context-aware information to precisely grasp the user's preferences. As a result, the proposed scheme can recommend events to users with a high possibility to participate in new events, preventing indiscriminate recommendations. In order to show the superiority of the proposed scheme, we compare it with the existing scheme through performance evaluation.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.64-69
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• 2007

이 논문은 촉각 가상 환경(Haptic Virtual Environment)에서 촉각(haptic) 데이터를 촉각 데이터 특성에 맞추어 네트워크에 적응적이고 효율적으로 전송할 수 있는 전송 알고리즘을 제안한다. 촉감 상호작용 측정을 위해 네트워크 햅틱 협업 응용을 작성하였고 지연, 지터, 손실에 따른 변화를 분석하였다. 이를 바탕으로 네트워크 트래픽에 적응할 수 있는 알고리즘을 구성하였다. 손실되거나 지터의 영향을 받은 패킷에는 간단한 선형예측 방법을 사용하여 보상하여 손실과 지터로 인한 오차를 줄였다. 이는 심각한 손실이나 지터에 의해 떨림 현상이 나타나는 햅틱 장치의 문제점을 개선하게 되었다. 또한 네트워크 협업에서 지연이 발생할 때 나타나는 클라이언트들 사이의 비동시성을 해결하기 위하여 완충시간을 두었다. 지연이 큰 클라이언트는 버퍼를 사용하지 않고 실시간으로 처리하고, 지연이 적은 클라이언트는 버퍼를 사용하여 전송받은 좌표를 완충시킨 후에 처리하는 방법을 사용하여 클라이언트들 사이의 햅틱 렌더링을 동기화 하였다. 제안된 알고리즘은 다양한 네트워크 상황에서의 협업에서 개선된 결과를 보였다. 이를 바탕으로 향후 선형예측 방법을 다양하게 적용시키고 서버와 클라이언트 사이의 동기화를 구현하는 알고리즘을 작성할 것이다. 본 논문은 다양한 네트워크 상황 에서 햅틱 데이터를 전송하고 처리하는 연구의 기초자료가 될 수 있을 것이다.

• KIPS Transactions on Computer and Communication Systems
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• v.12 no.1
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• pp.25-40
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• 2023

Recommendation systems are frequently used by users to generate intelligent automatic decisions. In the study of movie recommendation system, the existing approach uses largely collaboration and content-based filtering techniques. Collaborative filtering considers user similarity, while content-based filtering focuses on the activity of a single user. Also, mixed filtering approaches that combine collaborative filtering and content-based filtering are being used to compensate for each other's limitations. Recently, several AI-based similarity techniques have been used to find similarities between users to provide better recommendation services. This paper aims to provide the prospective expansion by deriving possible solutions through the analysis of various existing movie recommendation systems and their challenges.