• The Journal of Korean Institute of Communications and Information Sciences
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• v.21 no.9
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• pp.2373-2384
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• 1996

Connection caching technique is widely used to reduce the overhead incurred by frequency connection establishment in distributed computing environment using connection oriented protocol. We present an efficient connection caching scheme where we divide the system into several host groups and connection between the hosts in the same group is kept prior to others. In other words it makes the connection kept longer by sharing the connection use information between hosts in the same group. Every host group consists of hosts which have heavy intercommunication. And we present performance evaluation of the effect of host grouping upon connection caching and performance comparison of various grouping in several aspects includingmeanservice request interarrival time, mean service time, group size, grouping and type of group. Simulation results show that host grouping is effective in evrey performance criterion and proper grouping of hosts enhances the performance. We also present analysis results for Markov process model of our scheme which are consistent with the simulation results.

• Journal of the Korea Society for Simulation
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• v.12 no.1
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• pp.73-83
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• 2003

This paper presents armed vehicle BAttle Group Simulation model(called BAGSim) which is an object-oriented simulation system for representing battle group engagement consisting of tanks and helicopters. BAGSim is designed in the evolutionary software life cycle approach with the Unified Software Development Process, and implemented with C++ language. BAGSim consists of a preprocessor for engagement scenario definition and simulation data set up, a main processor for triggering engagement event and advancing simulation clock, and a post processor to record simulation histories. Application scenario covers several type of engagement among command tanks, fight tanks, scout helicopters, attack helicopters, anti-tank guided missiles, and decoys. Thus, BAGSim can be effectively used as an analytic tool to examine some operational concepts and tactics, further experimentally fine tune tank design options.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.325-327
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• 2005

컴포넌트는 컴포넌트 기반 개발(Component Based Development, CBD)기술에서 재사용되는 기본 단위로서 OOP(Object Oriented Programming, OOP)의 객체보다 상대적으로 큰 단위의 기능성을 제공하며 재사용성이 뛰어나다. 모델 기반 아키텍처(Model Driven Architecture, MDA)는 모델들 간의 다양한 변환(Transformation)을 활용하여 어플리케이션 개발을 자동화하는 새로운 패러다임으로서 소프트웨어의 생산성을 향상시킨다. 그러나 MDA 는 컴포넌트와 같은 어플리케이션들 간의 공통성과 가변성을 활용한 재사용성을 직접적으로 지원하지는 않는다. 본 논문에서는 CBD 와 MDA 의 장점과 한계점을 알아보고 서로의 단점을 보완할 수 있도록 컴포넌트 PIM 과 컴포넌트 기반의 MDA 공학 프로세스를 제안한다. 제안된 컴포넌트 PIM 과 프로세스를 이용하면 어플리케이션들 간의 공통성과 가변성을 이용한 뛰어난 재사용성과 자동화를 통한 생산성의 ,향상 및 높은 유지보수성을 가질 수 있다.

• Journal of Agricultural Extension & Community Development
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• v.26 no.2
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• pp.57-68
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• 2019

This paper was done as an exploratory study aiming to identify the relationship between small group characteristic factors and perceived performance in the Village Development Committee (VDC) in Saemaul Undong project in Laos. The data were gathered from 166 members in 17 VDCs in Vientian province, however 135 questionnaires were used in analysis. Structure Equation Model was applied in the analysis with Amos 21. The major finding of this study were as follows; firstly decision making was more influenced by task cohesion than social cohesion, secondly organizational citizen behavior was influenced by both task cohesion and social cohesion. However, social cohesion had more influence than task cohesion, thirdly the VDC members learned their technical knowledge from decision-making process, and influenced to their perceived performance level and to VDC sustainablity, and fourthly in overall, committee members implemented their jobs based on task-oriented.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.1256-1263
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• 2022

With the advent of the Fourth Industrial Revolution, the amount of energy used in buildings has been increasing due to changes in the energy use structure caused by the massive spread of information-oriented equipment, climate change and greenhouse gas emissions. For the efficient use of energy, it is necessary to have a plan that can predict and reduce the amount of energy use according to the type of energy source and the use of buildings. To address such issues, this study presents a model embedded in a digital twin that predicts energy use in buildings. The digital twin is a system that can support a solution of urban problems through the process of simulations and analyses based on the data collected via sensors in real-time. To develop the energy use prediction model, energy-related data such as actual room use, power use and gas use were collected. Factors that significantly affect energy use were identified through a correlation analysis and multiple regression analysis based on the collected data. The proof-of-concept prototype was developed with an exhibition facility for performance evaluation and validation. The test results confirm that the error rate of the energy consumption prediction model decreases, and the prediction performance improves as the data is accumulated by comparing the error rates of the model. The energy use prediction model thus predicts future energy use and supports formulating a systematic energy management plan in consideration of characteristics of building spaces such as the purpose and the occupancy time of each room. It is suggested to collect and analyze data from other facilities in the future to develop a general-purpose energy use prediction model.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.2
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• pp.138-149
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• 2016

Quality function deployment (QFD) is a widely adopted customer-oriented product development methodology by translating customer requirements (CRs) into technical attributes (TAs), and subsequently into parts characteristics, process plans, and manufacturing operations. A main activity in QFD planning process is the determination of the target levels of TAs of a product so as to achieve a high level of customer satisfaction using the data or information included in the houses of quality (HoQ). Gathering the information or data for a HoQ may involve various inputs in the form of linguistic data which are inherently vague, or human perception, judgement and evaluation for the information and data. This research focuses on how to deal with this kind of impreciseness in QFD optimization. In this paper, it is assumed as more realistic situation that the values of TAs are taken as discrete, which means each TA has a few alternatives, as well as the customer satisfaction level acquired by each alternative of TAs and related cost are determined based on subjective or imprecise information and/or data. To handle these imprecise information and/or data, an approach using some basic definitions of fuzzy sets and the signed distance method for ranking fuzzy numbers is proposed. An example of a washing machine under two-segment market is provided for illustrating the proposed approach, and in this example, the difference between the optimal solution from the fuzzy model and that from the crisp model is compared as well as the advantage of using the fuzzy model is drawn.

• Journal of Korean Library and Information Science Society
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• v.49 no.2
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• pp.267-300
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• 2018

The purpose of this study is to develop conceptualization models of reading, information, ICT, and digital literacy through conceptual differences of these literacy by reviewing and defining the concepts of literacy as well as reading, information, ICT, and digital literacy. Computer literacy has emerged as a concept that explains the phenomenon of contemporary social, cultural, and information technology development, and since then, computer literacy has since changed to IT, ICT literacy, and digital literacy. As a result of the study, a conceptualization model of the reading, information, ICT, and digital literacy was developed. In this model, these literacy whose terms have changed according to the technological development of media, have been classified as medium-centered literacy. And reading and information literacy that focuses on the cognitive process of understanding, utilizing, and evaluating texts and information is categorized as process-oriented literacy. In the digital environment, reading and information literacy is a core competence to critically think and evaluate the texts that are on media, and further research is needed to reduce the reading and the information gap among readers.

• Journal of the Korea Society for Simulation
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• v.26 no.1
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• pp.55-67
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• 2017

The requirement planning system of Korea military has used top down planning approach after introducing Joint Combat Development System since 2007. But this new system has not been propelled harmoniously because it does not have any connection with the current planning system. Due to current time-exhaustive analysis and assessment process in requirement planning system, it not only delays proper decision making, but also hinders understanding on the problem in a whole perspectiveand finding a reasonable solution to our problem. In this study, we present a methodology which can analyze and assess capability utilizing the weapon score of JICM(Joint Integrated Contingency Model). The process identifies capability gap from a mission-oriented perspective in the requirement planning phase and suggests an appropriate solution to our problem. A Quick Look tool which has been developed using Python Script to implement the methodology is also introduced in this study.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.39-39
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• 2012

Data assimilation techniques have received growing attention due to their capability to improve prediction in various areas. Despite of their potentials, applicable software frameworks to probabilistic approaches and data assimilation are still limited because the most of hydrologic modelling software are based on a deterministic approach. In this study, we developed a hydrological modelling framework for sequential data assimilation, namely MPI-OHyMoS. MPI-OHyMoS allows user to develop his/her own element models and to easily build a total simulation system model for hydrological simulations. Unlike process-based modelling framework, this software framework benefits from its object-oriented feature to flexibly represent hydrological processes without any change of the main library. In this software framework, sequential data assimilation based on the particle filters is available for any hydrologic models considering various sources of uncertainty originated from input forcing, parameters and observations. The particle filters are a Bayesian learning process in which the propagation of all uncertainties is carried out by a suitable selection of randomly generated particles without any assumptions about the nature of the distributions. In MPI-OHyMoS, ensemble simulations are parallelized, which can take advantage of high performance computing (HPC) system. We applied this software framework for several catchments in Japan using a distributed hydrologic model. Uncertainty of model parameters and radar rainfall estimates is assessed simultaneously in sequential data assimilation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.436-438
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• 2022

National Research Data Commons aims to build a system that can be used jointly by arranging analysis resources such as computing infrastructure, software, toolkit, API, and services used for data analysis together with research data to maximize the use of research data. do. The sharing and utilization system for publications and research data in the R&D process is well known. However, the environment in which data and tightly coupled software and computing infrastructure can be shared and utilized is insignificant and there is no management system. In this study, a data model is designed to systematically manage information on digital research resources required in the data-oriented R&D research process. This will be used to register and manage digital research resource information in the National Research Data Commons Service.