• Title/Summary/Keyword: Collaborative Analysis

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Collaborative Print Journal Management in a Digital Age (디지털 시대의 인쇄본저널의 보존 방안)

  • Youn, Eunha;Chang, Yunkeum
    • Journal of Korean Library and Information Science Society
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    • v.44 no.2
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    • pp.267-291
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    • 2013
  • Academic research libraries are seeking a long-term preservation plan for journals for cost-effective stewardship. The emergence of shared print archives has given the library community the opportunity to resolve the problem of the lack of library storage and build a collaborative long-term archiving plan for the print journals. The purpose of this study is to examine Western Regional Storage Trust(WEST), the largest print journal archiving program in North America, and identify their strategies for building a distributed, retrospective print repository service for journals. Based on the analysis, this article will discuss the development of new trends of collaborative library management in a digital age.

Analysis of Elementary Pre-Service Teachers' Collaborative Problem Solving Competency Related to Science which Required in the Digital Age (디지털 시대에 요구되는 예비 초등교사의 과학 관련 협력적 문제해결역량 분석)

  • Na, Jiyeon;Yoon, Heojeong
    • Journal of Korean Elementary Science Education
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    • v.39 no.4
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    • pp.494-505
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    • 2020
  • In this study, we surveyed characteristics of the science related collaborative problem solving competency of pre-service elementary teachers, especially required in the digital age. The participants in online survey were 119 pre-service elementary teachers of National University of Education located in Gangwon province. The analyzed results of survey were as follows: First, pre-service teachers performed their task responsibly in collaborative problem solving context related to science. However, they lacked competencies in making rubrics for problem solving processes or outcomes, and setting up rules about team activities. Second, in using ICT technology, the competencies of utilizing tools such as app and software lacked compared with the competencies of searching data in online and using ppt. Third, there was no statistically significant difference among groups by their intensive major in university or selective subject in high school. Nevertheless, pre-service teachers majoring in natural science showed more persistence than those majoring in humanities in problem solving context. Finally, there was no significant gender difference except 'clear communication and accomplishment'. That is, female pre-service teachers performed more responsible in their task and showed more fluency in communication and presentation within their group than male counterparts. Based on these results, implications in the field of pre-service teacher education were discussed.

Design and Implementation of a Performance Evaluation Tool for Embedded Softwares on Collaborative Development Environment (협업 개발을 지원하는 임베디드 소프트웨어 성능분석도구 설계 및 구현)

  • Kim, Ik-Su;Cho, Yong-Yun
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.7
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    • pp.19-27
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    • 2008
  • A performance evaluation tool makes an important role in order to improve performance of an embedded software which has restricted computing resources. However, existing performance evaluation tools for embedded softwares cannot be used in collaborative development environment because they support only one developer with performance evaluation work under cross development environment. In this paper, we propose a performance evaluation tool for embedded softwares on collaborative development environment. A proposed tool is based on server and client model. It can have flexibility in offering and integrating the result information for the items. Through the suggested tool. developers can intuitively understand and analysis performance evaluation results each other.

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A Study on the Collection Use and Overlap of Regional Collaborative Library System in Public Libraries (공공도서관의 지역통합시스템 운영이 장서의 이용 및 중복에 미치는 영향에 관한 연구)

  • Park, Hyun-Kyung;Noh, Dong-Jo
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.29 no.4
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    • pp.251-267
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    • 2018
  • In this research, a sample was selected from a public library in Paju city, which operates a regional collaborative library system. They collected data on materials, usage, and acquisition. An analysis of book collection data and usage data was also conducted in order to evaluate the correlation between the usage and acquisition by comparing overlap of purchased materials. As a result, circulations and the interlibrary loan (ILL) borrowing requests were differentiated by topics according to targeted materials, and that these characteristics affect the overlap of purchased materials. The study suggested that public libraries in the region collaborative library system need to consider the paradigm of collection and access when purchasing books.

Predicting Co-Authorship based on Link analytics and learning (링크 분석 및 학습을 통한 공동연구성과 기반 공저자 관계 예측)

  • Jeon, HyeonJu;Kim, YunHu;Jung, Jason J.;Kim, Kono
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.83-86
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    • 2019
  • This study proposes a methodology for predicting co-authorship of contributors to a highly anticipated paper through link analysis and learning, taking into account the result of collaborative research. Previous studies predict the co-authorship with high accuracy, but this shows limitations in that the quality of the predicted relationship is not considered. Therefore, to solve the above problem, we propose three steps to predict the co-authorship that will help with the expected performance: (1) Construct a heterogeneous graph to measure results of collaborative research. (2) Analyze and learn links based on results of collaborative research. (3) Predict links that are anticipated to have high expectation. It is expected to be useful for increasing confidence in the predicted co-authorship.

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A Cyber-Physical Information System for Smart Buildings with Collaborative Information Fusion

  • Liu, Qing;Li, Lanlan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.5
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    • pp.1516-1539
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    • 2022
  • This article shows a set of physical information fusion IoT systems that we designed for smart buildings. Its essence is a computer system that combines physical quantities in buildings with quantitative analysis and control. In the part of the Internet of Things, its mechanism is controlled by a monitoring system based on sensor networks and computer-based algorithms. Based on the design idea of the agent, we have realized human-machine interaction (HMI) and machine-machine interaction (MMI). Among them, HMI is realized through human-machine interaction, while MMI is realized through embedded computing, sensors, controllers, and execution. Device and wireless communication network. This article mainly focuses on the function of wireless sensor networks and MMI in environmental monitoring. This function plays a fundamental role in building security, environmental control, HVAC, and other smart building control systems. The article not only discusses various network applications and their implementation based on agent design but also demonstrates our collaborative information fusion strategy. This strategy can provide a stable incentive method for the system through collaborative information fusion when the sensor system is unstable in the physical measurements, thereby preventing system jitter and unstable response caused by uncertain disturbances and environmental factors. This article also gives the results of the system test. The results show that through the CPS interaction of HMI and MMI, the intelligent building IoT system can achieve comprehensive monitoring, thereby providing support and expansion for advanced automation management.

Robustness Analysis of a Novel Model-Based Recommendation Algorithms in Privacy Environment

  • Ihsan Gunes
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.5
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    • pp.1341-1368
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    • 2024
  • The concept of privacy-preserving collaborative filtering (PPCF) has been gaining significant attention. Due to the fact that model-based recommendation methods with privacy are more efficient online, privacy-preserving memory-based scheme should be avoided in favor of model-based recommendation methods with privacy. Several studies in the current literature have examined ant colony clustering algorithms that are based on non-privacy collaborative filtering schemes. Nevertheless, the literature does not contain any studies that consider privacy in the context of ant colony clustering-based CF schema. This study employed the ant colony clustering model-based PPCF scheme. Attacks like shilling or profile injection could potentially be successful against privacy-preserving model-based collaborative filtering techniques. Afterwards, the scheme's robustness was assessed by conducting a shilling attack using six different attack models. We utilize masked data-based profile injection attacks against a privacy-preserving ant colony clustering-based prediction algorithm. Subsequently, we conduct extensive experiments utilizing authentic data to assess its robustness against profile injection attacks. In addition, we evaluate the resilience of the ant colony clustering model-based PPCF against shilling attacks by comparing it to established PPCF memory and model-based prediction techniques. The empirical findings indicate that push attack models exerted a substantial influence on the predictions, whereas nuke attack models demonstrated limited efficacy.

An Analysis of the Interdependent structure among disciplines of University Researches (대학연구의 분야간 상호의존성에 관한 연구)

  • 송충한
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2000.05a
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    • pp.141-153
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    • 2000
  • Interdisciplinary research is one of the well-known key words represent the 21st century As in the developed countries, interdisciplinary research is a pervasive phenomenon in Korea. This paper intends to clear up the interdependent structure among disciplines of university researches. First, 39.9% of individual and 59.8% of collaborative research projects of university researches are interdisciplinary. Second, the interdependency among disciplines of collaborative research is more severe than that of individual research. Third, The interdependency among disciplines indicates tile importance of the balanced development in all science and engineering fields.

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Collaborative Filtering Model Analysis based on IPTV Viewing Log (IPTV 시청자의 시청이력에 기반한 협력필터링 모델 분석)

  • Jung, Ha-Yong;Kim, Moon-Sik
    • Proceedings of the Korean Information Science Society Conference
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    • 2010.06c
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    • pp.404-409
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    • 2010
  • 협력 필터링(Collaborative Filtering)은 상품추천, 영화추천 등에 사용되는 대표적인 방법으로서, 사용자들의 사용이력에 기반해서 유사도가 높은 항목들을 찾아낸다. 본 연구에서는 상용 IPTV 서비스에 협력 필터링을 적용했을 때 만들어지는 모델을 분석하여 어떤 요소들이 협력 필터링 모델의 생성에 영향을 끼치는지 분석했다. 이를 통해 IPTV 영역에 협력 필터링을 적용했을 때 영향을 끼치는 요소들과 다른 영역과는 다르게 고려해야 할 사항들을 알 수 있었다.

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