• Journal of the Korean Operations Research and Management Science Society
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• v.35 no.1
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• pp.19-45
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• 2010

Virtual Communities, which are formed on the Internet, are expected to serve the needs of members for e-collaboration, e-communication, information and knowledge sharing. The executives of organizations should consider virtual community as a new innovation or knowledge pool since members share knowledge. However, many virtual community have failed due to members' low willingness to engage and furthermore to share knowledge with other members. Thus, there is a need to understand and foster the determinants of members' sense of belonging behavior in virtual community. This study develops an integrated model designed to investigate and explain the relationships between contextual factors, personal perceptions of virtual community, usability, trust and sense of belonging in using a certain virtual community. Empirical data was collected from 201 and tested using structural equation modeling (SEM) to verify the fit of the hypothetical model. The results show that the perceived usability and community trust of members significantly influences sense of belonging in using the virtual community, and information quality, system quality, familiarity on the virtual community are significantly influence the usability but not reputation. And I confirmed that perceived shared vision and responsiveness play the role of determinants in making the member's trust, perceived risk influence the making community trust in directly. The results of the study can be used to identify the motivation underlying members' sense of belonging in a certain virtual community by investigating the impacts of contextual factors and personal perceptions on virtual community, the integrated model better explains behavior than other proposed models. This study might help executives of virtual communities and organizations to manage and promote these determinants of sense of belonging to stimulate members' willingness to engage the community and futhermore enhance their virtual community loyalty.

• Journal of Digital Convergence
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• v.15 no.9
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• pp.155-165
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• 2017

The purpose of this study is to identify the direct effects of PSM on job satisfaction (JS) and perceived job performance (PJP) in public institutions and to identify indirect effects of the mediator. In particular, we define the person-organization fit (POF) used as the mediator as the fitness of the personnel system and identify the influence of POF in the relationship between PSM, JS, and PJP. The questionnaires used in this study were conducted for the members of Changwon Public Health Center and empirical analysis using structural equation modeling was conducted and the following results were obtained. First, PSM in the integrated public service organization has a positive effect on JS and PJP. Second, PSM shows that JS and PJP of organization members are improved through mediating effect of POF. It can be concluded that PSM can improve JS and PJP through institutional fit between members and organizations.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.278-278
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• 2018

현재 우리나라에서는 행정안전부의 풍수해저감종합계획, 사전재해영향성검토협의, 재해위험지구개선사업 등에 해외에서 개발된 상용프로그램이 사용돼 접근성 저하로 인해 지자체 방재담당자의 실무나 대학에서 연구용으로 다루기에는 한계가 있다. 이에 본 연구에서는 내수침수, 외수침수, 2차원 침수해석으로 구성하여 GUI 기능을 강화한 통합침수재해지도 작성시스템(i-FIM, Integrated Flood Inundation Modeling system)을 개발하여 입력자료의 구성 및 매개변수의 수정이 용이하게 함으로써 하수관망 등에 부분적인 설계 변경이 있는 경우 지자체 방재담당자가 간단한 작업을 통해 침수영향 변화를 쉽게 파악할 수 있도록 하였다. 또한, 상세한 지형의 반영이 필요한 도시지역의 2차원 침수해석의 경우 계산격자 망의 크기가 작아질수록 소요되는 계산시간이 기하급수적으로 증가하는 한계가 있어 i-FIM에서는 계산격자를 $2{\times}2$, $3{\times}3$, $5{\times}5$ Subgrid 형태의 격자를 적용하고, 병렬프로그래밍과 계산시간조정 기능을 추가하여 2차원 침수해석 모형의 계산 속도를 향상시켰다. 이를 실무에 적용하기 앞서 2006년 집중호우로 인해 안성시에서 발생한 제방 붕괴사상, 2016년 태풍 차바로 인해 울산시에서 발생한 제방 월류 사상을 통해 침수흔적도와 비교하여 검증을 실시하였다. i-FIM에서 최종적인 2차원 침수해석 결과는 2017년에 개정된 '재해지도 작성 기준 등에 관한 지침'의 침수심 등급 구분의 색채 설정에 따라 각 격자별 침수심을 표출함으로써 표준화된 재해지도 작성이 가능하도록 하였다. 또한, 포털사이트의 지도 및 위성지도에 표출함으로써 침수 위험이 발생할 수 있는 지역의 현재 이용 용도를 파악하여 침수재해에 대한 상세한 대책을 마련할 수 있을 것으로 판단된다.

• Journal of Environmental Science International
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• v.31 no.7
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• pp.637-652
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• 2022

In this study, the contributions of emissions (foreign and domestic) and atmospheric physical and chemical processes to PM_2.5 concentrations were evaluated during a high PM_2.5 episode (March 24-26, 2018) observed on the Jeju Island in the spring of 2018. These analyses were performed using the community multi-scale air quality (CMAQ) modeling system using the brute-force method and integrated process rate (IPR) analysis, respectively. The contributions of domestic emissions from South Korea (41-45%) to PM_2.5 on the Jeju Island were lower than those (81-89%) of long-range transport (LRT) from China. The substantial contribution of LRT was also confirmed in conjunction with the air mass trajectory analysis, indicating that the frequency of airflow from China (58-62% of all trajectories) was higher than from other regions (28-32%) (e.g., South Korea). These results imply that compared to domestic emissions, emissions from China have a stronger impact than domestic emissions on the high PM_2.5 concentrations in the study area. From the IPR analysis, horizontal transport contributed substantially to PM_2.5 concentrations were dominant in most of the areas of the Jeju Island during the high PM_2.5 episode, while the aerosol process and vertical transport in the southern areas largely contributed to higher PM_2.5 concentrations.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.732-737
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• 2009

Due to various project delivery methods and the complexity of construction projects in the construction industry, developing the framework of construction management for critical, highly complex projects in the construction industry has become problematic. Currently, a set of construction manuals play a pivotal role in planning and managing construction projects as subcontractors try to complete their scope of work according to the instructions of a general contractor. It is challenging for general contractors to write a construction management procedure manual to cover various types of project delivery methods and construction projects. In construction, the construction procedure manuals describe specific actions to be taken through the project. In reality a few contactors own such manuals and their construction schedules include more construction operation activities. Thus, it is hard to estimate the workload and productivity of construction managers because the manual and the schedule do not present the amount of management efforts required to complete a project. This paper proposes a framework to present construction management tasks according to project delivery methods which can be applied to various construction projects. Actions for management tasks were mapped and were integrated with construction activities throughout the project life cycle. The framework can then be used to give specific instructions to project participants, collect management actions, and replicate management actions throughout the project life cycle. The framework can also be can used to visualize complete construction project to analyze and manage construction management activities in each phase of a project in order to enhance productivity and efficiency. The studies of existing construction manuals were carried out to identify construction managers' responsibilities. An artificial intelligence program, CLIPS (C-Language Integrated Production System) was used to search for appropriate actions for impending tasks from a set of predefined actions to be performed for a given situation. The framework would significantly help construction managers to understand interrelations among management tasks or actions within a project. Furthermore, the framework can be embedded into Building Information Modeling (BIM) or Facility Management Systems (FMS) so that designers and constructors would execute constructability review before construction begins.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.9
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• pp.444-453
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• 2017

This paper proposes an operational algorithm for a Photovoltaic Power-Hardware-In-Loop Simulator that is designed to improve the control algorithm and reliability of the PV Inverter. There was an instability problem in the PV PHILS with the conventional algorithm when it was connected tothe PV inverter. Initially, a real-time based computing unit with mathematical modeling of the PV array is implemented and a DC amplifier and an isolated device for DC power measurement are integrated. Several experiments were performed based on theabove concept undercertain conditions, which showed that the proposed algorithm is more effective for the PV characteristic test and grid evaluation test than the conventional method.

• The Journal of Society for e-Business Studies
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• v.9 no.3
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• pp.207-226
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• 2004

SCM is one of the important key issues in Internet-based business environment. Most of companies related to B2B electronic commerce are making their efforts to innovate their existing business process into new integrated supply chain process. SCM system using XML/EDI provides competitive advantage to them by reshaping the relationship between traditional trading partners. This study intends to suggest a prototype of SCM system using XML/EDI. To implement SCM system, we analyze and design the supply chain process by using Unified Modeling Language, with a firm engaged in Korean automobile industry, which is a first vendor to produce a set of LAMP. The implementation of SCM system using UML shows excellent performance in software reuse, extensibility, and the interoperability with corporate internal information systems.

• Journal of Ocean Engineering and Technology
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• v.31 no.4
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• pp.315-323
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• 2017

This paper presents an integrated navigation system that combines ultra-short baseline (USBL), Doppler velocity log (DVL), and heading measurements for a deep-sea remotely operated vehicle, Hemire. A navigation model is introduced based on the kinematic relation of the position and velocity. The system states are predicted using the navigation model and corrected with the USBL, DVL, and heading measurements using the Kalman filter. The performance of the navigation system was confirmed through re-navigation simulations with the measured data at the Southern Mariana Arc submarine volcanoes. Based on the characteristics of the measurements, the design process for the parameters of the system modeling error covariance, measurement error covariance, and initial error covariance are presented. This paper reviews the influence of the outliers and blackout of the USBL and DVL measurements, and proposes an outlier rejection algorithm that is robust to USBL blackout. The effectiveness of the method is demonstrated with re-navigation for the data that includes USBL blackouts.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.1
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• pp.1-7
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• 2020

Directivity control technology of sound system is a key technology for improving sound quality. Providing a line source rather than a point source in an acoustic system can reduce the effects of attenuation interference at long distances, thereby providing high quality sound. In particular, A line-array speaker system can be used to provide coherent, high-quality sound over long distances. However, high frequencies have shorter wavelengths, so the distance between the speakers of a line array system must be shorter, but there are physical limitations. In this paper, we designed a wave guide and installed it in the speaker's compression driver to solve this problem. We measured and tested various acoustic characteristics to verify the performance of the speaker. As a result, when the line array sound system is constructed using the developed speakers, it is possible to provide a line source in all areas including the treble range, thereby achieving the same effect as a single extended source and providing high quality sound up to far distances.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.6
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• pp.83-89
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• 2022

Internet of Things technology is rapidly developing due to the recent development of information and communication technology. IoT technology utilizes various sensors to generate unique data from each sensor, enabling diagnosis of system status. However, the equipment management system currently in effect is a post-preservation concept in which administrators must deal with the problem after the problem occurs, which could mean system reliability and availability problems due to system errors, and could result in economic losses due to negative productivity disruptions. Therefore, this study confirmed that edge controller control decision algorithms for more efficient operation of rectifiers in the factory by applying intelligent IoT (AIoT) technology and domain knowledge-based modeling for each sensor data collected based on this, outputting appropriate status messages for each scenario.