• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.551-554
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• 2003

Aggregate operator which belongs to query operations are important in specialized systems such as geographic information system(GIS) and spatial database system. Most of data describing objects in the real world are characterized by space and time attributes. Till now, however, works on aggregate operations have only dealt with spatial or temporal aspect of object. The current demand of aggregate operations relates to spatiotemporal data which are contained both spatial and temporal data concurrently. Therefore, work on spatiotemporal operations is focused on database area. In this paper, we propose spatiotemporal aggregate functions that operate on spatiotemporal data. Above all, we support spatiotemporal aggregate functions on the basis of three dimensional spatiotemporal models that are defined with the linear one dimensional temporal domain. The proposed algorithms are evaluated through some implementation results. We are sure that the achievement of our work is useful and efficient.

• 한국디지털정책학회:학술대회논문집
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• 2004.05a
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• pp.343-354
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• 2004

A Project planning is one of the most important processes that determines success and failure of the project. Scope management for project planning is also essential job in system integration project. However project planning is very difficult because lots of factor and their relationships should be considered. Therefore project planning of SI project has been done by project manager s own knowledge and experiences. It is necessary to develop an algorithm of WBS(Work Breakdown Structure) identification & document selection along to project's specificity in project management system using AI technique. This study also present method (ODW model) to cope with the limitations of the existing study that has uniformly customizing the methodology by only project complexity. We propose PPSM(Project planning support module) that apply Rule for determination of route map and document level, and CBR for WBS identification.

• Knowledge Management Research
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• v.23 no.4
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• pp.43-67
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• 2022

One of the dark sides of the development of information and communication technology is the significant increase in cybercrime. In particular, investigators in charge of cyber sexual crime are repeatedly exposed to video data of illegal sexual violence; hence, they are at high risk of post-traumatic stress disorder (PTSD) and experiencing vicarious trauma. Notwithstanding, few studies have focused on these investigators' PTSD, and, to the best of our knowledge, no study has been conducted on the vicarious trauma of cyber sexual crime investigators. Therefore, this study identifies investigators' mental health status (trauma-related, especially) and examines their perception of the currently operating psychological support programs. Further, by reviewing the psychological support system of overseas institutions, we would suggest psychological support and policies necessary for domestic cyber sexual crime units to manage investigators' work stress and prevent mental illness under domestic circumstances.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.575-578
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• 2002

원자력 중장기 연구개발 일환으로 수행중인 액체금속로 설계기술개발 프로젝트는 개념 설계분야와 기반기술구축 분야로 구성되어 있는 상호 긴밀한 연계가 강조되기 프로젝트이다. 대과제를 중심으로 각 세부과제 및 분야 내에서 시스템별 인터페이스 등이 종합적으로 관리되어야 할 필요성이 있는 프로젝트이다. 액체금속로 설계기술개발 프로젝트의 연구생산성 향상을 위해 공정계획을 수립하고, 프로젝트 수행 중에 산출되는 연구결과물을 검증하여, 검증된 자료를 프로젝트 수행원들에게 공유할 수 있게 Web WorkFlow를 이용한 자료 검증/공유시스템을 개발하여 운영하고 있으며, 최종적으로 검증된 자료는 데이터베이스를 구축하여 활용하고 있다. 이렇게 함으로써 한국원자력연구소에서 개발증인 액체금속로 설계 기술개발 프로젝트를 최적화된 계획 및 관리를 통하여 연구개발을 수행할 수 있을 것으로 예상된다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.4
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• pp.849-858
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• 2010

This paper presents a UML CASE tool for collaboration work between remote place. It configured functions to support collaboration work and it applied framework concept to increase extension and reusability. It also constructed UML CASE tool based on framework. It result in not only reflecting various stakeholder's opinions but it also contributing to integrated and consistent modeling.

• Proceedings of the CALSEC Conference
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• 1999.07a
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• pp.95-108
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• 1999

The purpose of this study is to find the diversification of the methodology of KM (knowledge management) Benchmarking which has been developed rapidly as a new managing paradigm all over the world for the 21th century. In particular, at the point of that it has been going to be inevitable for domestic companies to adopt and utilize a knowledge management system as the pending assignment for surviving in the 21th century, this study thus can enable them to support an adoption of KM and suggest directions for companies. Therefore, the successful cases of KM adoption all through the world have been analyzed by this study with the classifications of the industrial fields, work-flows from the view point of learning organizations and information technologies. As a result, the KM type bearing the specific of the respective industry has not been unrolled, and the common element in the analysis of work-flows has been found. Based on the result, it is desirable for the companies to adapt KM, extracting necessary work field for KM. Consequently speaking, they need to benchmark and adopt the KM methodology based on the extracted results.

• 한국공간정보시스템학회:학술대회논문집
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• 2005.11a
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• pp.239-244
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• 2005

In North Korea, there has been the considerable loss of human lives every yew due to the deficiency of foods. Thus, in order to reduce such damages, a research project should be launched to provide various information for cooperation with North Korean government, and to develop proper agricultural management system. Furthermore, based on the water resources information map generated by KOWACO (Korea Water Resources Corporation) and the environmental information system developed by MOE (Ministry of Environment), an agricultural information infrastructure of North Korea and a management system need to be effectively performed. Therefore, this research is mainly to develop the Agricultural Information Management System of North Korea (NKAIMS), which can collect, manage and analyze agricultural information and water resources utilization status of North Korea, and further support to make relevant decisions and establish the agricultural land-use plans. This research has three phases. The major outcome of the first phase is collecting the agricultural and water resources utilization data such as soils, rivers, streams, collective farms, etc., designing and building database, and developing integrated management system considering the users' requirements. The main work of the second phase is improving and reinforcing database such as adding the information of dams, land-over data, bridges, tunnels, satellite images, etc., inspecting and renewing such as importing detail attribute information of reservoirs, and improving system for more conveniently using. The third phase will be to supplement more useful functions such as statistic analysis, continually inspecting and improving database, and developing web-based system. The product of this research supports collecting and analyzing relevant data to facilitate easier agricultural activities and support effective decision making for food production in the preparation of unification. Moreover, through designing database considering sharing information and system expendability, it can support systematic data usability of agricultural information and save cost for data management.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.12C
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• pp.1177-1183
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• 2009

In this paper, support vector machines (SVM) are applied to multi-user detector (MUD) for direct sequence (DS)-CDMA system. This work shows an analytical performance of SVM based multi-user detector with some of kernel functions, such as linear, sigmoid, and Gaussian. The basic idea in SVM based training is to select the proper number of support vectors by maximizing the margin between two different classes. In simulation studies, the performance of SVM based MUD with different kernel functions is compared in terms of the number of selected support vectors, their corresponding decision boundary, and finally the bit error rate. It was found that controlling parameter, in SVM training have an effect, in some degree, to SVM based MUD with both sigmoid and Gaussian kernel. It is shown that SVM based MUD with Gaussian kernels outperforms those with other kernels.

• Research in Community and Public Health Nursing
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• v.32 no.4
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• pp.529-539
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• 2021

Purpose: The purpose of this study was to understand the parenting stress and health promotion behavior of working women, and to investigate the mediating effect of supporting resources. Supporting resources were set as social support of spouse and community, and institutional support of the organization to which the subject belongs based on previous studies and an ecological system theory. Methods: The participants were composed of 214 female workers residing in 17 cities and provinces nationwide and having at least one child aged 1~12 years old. Data were collected online from February 19 to February 28, 2021. The collected data were analyzed using the SPSS 20.0 program to understand the level and correlation of the general characteristics and major variables, and to test the mediating effect, after controlling the variables significantly from univariate analysis, step regression analysis was performed. Results: Among the supporting resources, the mediating effect of social support of spouse and community was statistically significant. Conclusion: These findings suggest that it is necessary to seek ways to increase the social support of working women's spouses and people around them in order to increase the health promotion behavior of working women.

• Journal of The Korean Association For Science Education
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• v.29 no.5
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• pp.552-563
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• 2009

The purpose of this study is to investigate the students' perception of the learning support system of Korea Science Academy and to propose improvements to it. The impact of the science learning support system on 129 gifted students in Korea Science Academy (KSA) was estimated by using Likert-type items and the multiple-choice method approach for more comprehensive evaluation. The results of our investigation are as follows: First, the learning support system of KSA appears globally useful to the students. The list of educational usefulness to the students comprises, in the decreasing order of utility, classroom work, Internet, lab activities, reading rooms, library, research meetings and clubs, academic advisors (AA), SAF (Science Academy Fair), e-learning system, and finally colloquia by invited lecturers. Second, what the gifted students hope for in the realm of learning support from KSA are learning guides by subject teachers, presentation skill program, the constructions of on/off-line learning communities, etc. It seems that the results of this study would be helpful in improving the learning support system, and will provide useful information for planning the direction of future science-gifted education programs at the high-school level.