• Title/Summary/Keyword: 협업 분석

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Design on Security Protocols Reflecting Collaboration in Workflow Management Systems (협업 기반 워크플로우 관리시스템의 보안 프로토콜 설계)

  • Choi, Myeong-Gil;Lee, Dong-Ho;Hwang, Won-Joo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.9 no.5
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    • pp.1271-1278
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    • 2008
  • As the collaboration of WFMS(workflow management systems) in enterprises increases, security protocols could be considered a critical factor affecting secure operation of WMFS. The security protocol of WFMS could not reflect the nature of collaboration in WFMS, resulting to collaboration of WFMS on Internet causing the operation problems of WFMS. This study suggests collaboration based security protocols based on the collaboration of WFMS on Internet. To reflect the nature of collaboration in WFMS, this study analyzes security requirements for WFMS. Based on security requirements, this study suggests a security architecture and security protocols for WFMS using security agents.

A Comprehensive Performance Evaluation in Collaborative Filtering (협업필터링에서 포괄적 성능평가 모델)

  • Yu, Seok-Jong
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.4
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    • pp.83-90
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    • 2012
  • In e-commerce systems that deal with a large number of items, the function of personalized recommendation is essential. Collaborative filtering that is a successful recommendation algorithm, suffers from the sparsity, cold-start, and scalability restrictions. Additionally, this work raises a new flaw of the algorithm, inconsistent performance of recommendation. This is also not measurable by the current MAE-based evaluation that does not consider the deviation of prediction error, and furthermore is performed independently of precision and recall measurement. To evaluate the collaborative filtering comprehensively, this work proposes an extended evaluation model that includes the current criteria such as MAE, Precision, Recall, deviation, and applies it to cluster-based combined collaborative filtering.

The Effect of Scaffolding on Creative Collaborative Performance - Focusing on the Mediating Effects of Boundary Objects - (스캐폴딩이 창의적 협업 성과에 미치는 영향 - 바운더리 오브젝트의 매개효과를 중심으로 -)

  • Shin, Hyun-Sun;Kym, Hyo-gun;Na, Yun-Bin
    • The Journal of the Korea Contents Association
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    • v.20 no.1
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    • pp.1-15
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    • 2020
  • This study examined the factors that influence creative performance in corporate collaboration projects. Specifically to facilitate team collaboration, we identified that scaffolding, which is one of the important factors in organizational learning communication, and the Boundary Objects, which are collaboration tools & vehicle, influence performance. The survey was collected for 203 employees who experienced collaborative projects, and three-step mediated regression analysis was conducted after conducting exploratory factor analysis. In other words, we examined the median effect of boundary objects on the impact of scaffolding on creative collaborative performance. Analysis showed that while the effects of the boundary objects in relation to the impact of cognitive scaffolding on creative performance were not significant, emotional scaffolding had a full-scale effect on the creative performance and also had a full-scale effect on the efficacy performance. Given these results, it is necessary to share a vision and form personal relationships among team members in order to activate them, since scaffolding is useful in organizational learning and boundary objects also have some effect as a medium for promoting collaboration in projects.

Interdisciplinary Collaboration in the Experiences of Science and Technology Researchers: Focusing on the Perceptions, Difficulties, and Overcoming Strategies (과학기술 연구자들의 경험을 통해 살펴본 학제간 협업 -인식, 어려움 그리고 극복전략을 중심으로-)

  • Jun-Ki Lee;Hyojeong Hwang;Su-Bok Baek;Sein Shin
    • Journal of The Korean Association For Science Education
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    • v.43 no.2
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    • pp.151-166
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    • 2023
  • This study identified the perceptions of science and technology researchers about interdisciplinary collaboration and the difficulties experienced in the collaboration process and the types of strategies they set up to overcome them. For this study, a questionnaire was developed with five-point Likert-scale questions that confirm attitudes toward interdisciplinary collaboration and qualitative questions that describe difficulties and strategies to overcome difficulties experienced in the collaboration experience. A total of 79 domestic science and technology researchers responded to the survey, and the collected data were analyzed quantitatively and qualitatively. As a result of the study, it was confirmed that the recognition of the efficacy of collaboration had an important influence on the intention of collaboration, but the level of the recognition of the efficacy of collaboration was relatively low. In addition, there were four types of difficulties in the interdisciplinary collaboration process, and seven types of strategies were identified to overcome these. Based on these findings, it was suggested that convergence education should reflect the pluralistic nature of modern science and the features of various collaborations that occur within it.

Understanding Collaborative Working Processes within Construction Project Teams Using Agent-Based Modeling and Simulation (에이전트기반 시뮬레이션을 활용한 건설프로젝트 조직 내 협업과정의 이해)

  • Son, JeongWook;Shin, Seung-Woo;Yi, June-Seong
    • Korean Journal of Construction Engineering and Management
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    • v.15 no.1
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    • pp.70-77
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    • 2014
  • Collaborative processes among team members including communication, coordination, and information-handling processes either during pre-construction or project execution are required in order to accomplish the objectives of construction projects. However, current construction management practice does not explicitly take the effect of organizational aspects on project performance into account. This paper introduces a method to understand collaborative processes in an explicit and systematic fashion. An agent-based simulation of collaborative working processes within construction project teams was designed from game theory perspective and implemented. The simulation produced both individual behavior and network dynamics. Individuals represented as agents made efforts to improve performance by communication and coordinating with other members, and overall team network was emerged as a result of interactions among members. Interestingly, it was found that the tendency of forming cohesive subgroups increased when sustaining relations with between-group partners incurs higher cost. The primary contribution of this paper is that it presented an explicit approach to examining collaborative working processes in construction project teams and it extended existing computational organization and network studies by integrating individual behavior models and network models.

The Effects of Factors of Partnership between Suppliers and Buyers toward on Collaboration and Supply Chain Performance (공급사-구매사간 파트너십 요인이 협업과 공급사슬 성과에 미치는 영향)

  • Jung, Chul-Ho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.7
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    • pp.2921-2929
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    • 2012
  • This study aims to empirically analyze the structural effects of partnership characteristics between buyers and suppliers on the performance in supply chains. To this end, an in-depth literature review was performed in advance and four partnership characteristics involving information sharing, participativeness, interdependence, solidarity were identified, and a research model was validated by incorporating collaboration, trust, satisfaction. To analyze data collected from 124 companies, structural equation modeling was employed to test hypotheses proposed in this study and the findings are shown as follow. First, the partnership between buyers and suppliers was confirmed to have a positive effect on collaboration, trust and satisfaction. Second, both of trust and satisfaction were found to positively influence collaboration. Third, our findings also validated that collaboration and trust between buyers and suppliers had significant influences on supply chain performance, however, we found no evidence of a statistically significant relationship between satisfaction and performance. Based on these findings, discussions on the implications of this study and suggestions for further research were given finally.

A Study on SoC Platform Design Supporting Dynamic Cooperation between Hardware and Software Modules (하드웨어 및 소프트웨어 모듈간의 동적 협업을 지원하는 SoC 플랫폼 설계에 관한 연구)

  • Lee, Dong-Geon;Kim, Young-Mann;Tak, Sung-Woo
    • Journal of Korea Multimedia Society
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    • v.10 no.11
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    • pp.1446-1459
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    • 2007
  • This paper presents and analyzes a novel technique that makes it possible to improve the performance of low-end embedded systems through SoC(System-on-a-Chip) platform supporting dynamic cooperation between hardware and software modules. Traditional embedded systems with limited hardware resources have the poor capability of carrying out multi-tasking jobs including complex calculations. The proposed SoC platform, which provides dynamic cooperation between hardware and software modules, decomposes a single specific system into tasks for given system requirements. Additionally, we also propose a technique for efficient communication and synchronization between hardware and software tasks in cooperation with each other. Several experiments are conducted to illustrate the application and efficiency of the proposed SoC platform. They show that the proposed SoC platform outperforms the traditional embedded system, where only software tasks run, as the number of memory access is increased and the system become more complex.

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An Analysis Study on Collaborative AI for the Jewelry Business (주얼리 비즈니스를 위한 협업형 AI의 분석 연구)

  • Hye-Rim Kang
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.4
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    • pp.305-310
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    • 2024
  • With the emergence of generative AI, a new era of coexistence with humanity has begun. The vast data-driven learning capabilities of AI are being utilized in various industries to achieve a level of productivity distinct from human learning. However, AI also manifests societal phenomena such as technophobia. This study aims to analyze collaborative AI models based on an understanding of AI and identify areas within the jewelry industry where these models can be applied. The utilization of collaborative AI models can lead to the acceleration of idea development, enhancement of design capabilities, increased productivity, and the internalization of multimodal functions. Ultimately, AI should be used as a collaborative tool from a utilitarian perspective, which requires a proactive, human-centric mindset. This research proposes collaborative AI strategies for the jewelry business, hoping to enhance the industry's competitiveness.

Collaborative Maintenance Simulation System Using Virtual Mockup (가상목업을 활용한 협업 정비 시뮬레이션 시스템)

  • Lee, Jun-Kyu
    • Journal of Korea Multimedia Society
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    • v.15 no.1
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    • pp.148-165
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    • 2012
  • Applying maintenance simulation using virtual mockup in product design phase enables maintainability test before prototyping physical products, and it is expected to reduce product development costs. The simulation results can be reused as contents of service manuals and RAM (Reliability, Availability, Maintainability) analysis data. Maintenance simulation should provide realistic representation of physical property of virtual product, assembly relation between parts and manipulation process to verify feasibility of product design. The simulation system should be extended to collaborative virtual environment to perform collaborative maintenance procedures. In this paper, the three layered system architecture and the physics based collaborative interaction technique are proposed to extend current maintenance simulation into collaborative virtual environment. The proposed system was implemented as ViMMS (Virtual Mockup Maintenance Simulation system), and compared with case study results of VADE (Virtual Assembly Design Environment). As a result, the ViMMS encompassed broader range of maintenance tasks by using physics based collaborative interaction technique.

A Decision Support Model for Sustainable Collaboration Level on Supply Chain Management using Support Vector Machines (Support Vector Machines을 이용한 공급사슬관리의 지속적 협업 수준에 대한 의사결정모델)

  • Lim, Se-Hun
    • Journal of Distribution Research
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    • v.10 no.3
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    • pp.1-14
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    • 2005
  • It is important to control performance and a Sustainable Collaboration (SC) for the successful Supply Chain Management (SCM). This research developed a control model which analyzed SCM performances based on a Balanced Scorecard (ESC) and an SC using Support Vector Machine (SVM). 108 specialists of an SCM completed the questionnaires. We analyzed experimental data set using SVM. This research compared the forecasting accuracy of an SCMSC through four types of SVM kernels: (1) linear, (2) polynomial (3) Radial Basis Function (REF), and (4) sigmoid kernel (linear > RBF > Sigmoid > Polynomial). Then, this study compares the prediction performance of SVM linear kernel with Artificial Neural Network. (ANN). The research findings show that using SVM linear kernel to forecast an SCMSC is the most outstanding. Thus SVM linear kernel provides a promising alternative to an SC control level. A company which pursues an SCM can use the information of an SC in the SVM model.

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