• Journal of Korean Society of Industrial and Systems Engineering
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• v.21 no.46
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• pp.197-206
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• 1998

In recent years there has been a tremendous upsurge of interest in Shop Floor Control System (SFCS) design and analysis. We reviewed current computer-aided shop floor control system. It is concluded that current methodologies support, in a very restricted sense, these planning, scheduling, and monitoring activities and that enhanced performance can be achieved via an integrated approach. In this paper we present an interdisciplinary approach to the development and installing of sophisticated shop floor control systems. Interdisciplinary design will form the basis of designing SFCS in new knowledge intensive era. Interdisciplinary design means more than just applying knowledge from other domains, such as psychology and organization science to design of SFCS. The interdisciplinary approach is verified by an illustrative case study.

• Proceedings of the KIEE Conference
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• 1996.07b
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• pp.692-694
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• 1996

Recently, rapid increase in electricity demand, tremendous financial need for new power plant construction, and environmental problem have led to search for more efficient energy production and energy conservation technologies. Due to the potential energy and cost savings to electric utilities, DSM plays an important role in the electric resource planning. However, implementation of cost-effective DSM program requires appropriate analysis methodologies and procedures. In this study, we present the cost-effectiveness analysis model for DSM program evaluation. We also present a case study to analyze DSM program.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.12
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• pp.3345-3363
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• 2023

Developers often use cross-platform frameworks to create mobile apps that can run on multiple platforms with minimal code changes. However, these frameworks may not suit all the needs of a specific app, so developers may also use native APIs to add platform-specific features. This method eventually dilutes the advantages of cross-platform development methodology that aims to reduce development costs and time, and often leads to a decision to return back to the original native mobile development methodology. In this study, we explore a different approach: combining different cross-platform tools to develop a storybook mobile app that meets various requirements. We have demonstrated that integrating two cross-platform solutions can be used reliably to develop complex mobile applications. However, we also report that this approach can introduce unforeseen issues such as sandbox redundancy, unexpected functional burdens, and redundant permission requests. Despite these challenges, we believe that combining two cross-platform solutions can be applied to a variety of functional and performance requirements, enabling the development of more sophisticated mobile applications at lower costs and with shorter development timelines than traditional mobile app development methodologies.

• Information Systems Review
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• v.8 no.3
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• pp.245-259
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• 2006

In order to utilize BSC as an operational tool for communicating strategies across the hierarchies of the organization, a growing number of companies have tried to link BSC processes with other PI tools. Company D has carried out the SEM project to identify the causal structure between innovation activities and performance management in 2005 and 2006. The company synthesizes BSC and 6 Sigma methodologies at the BU level, and the new process made it possible to manage performances and make decision more "realistic" on the basis of information technologies. We expect that this study provide organizations, which have difficulties streamlining the performance management processes at the strategic level and those of operational level, with implications for realizing more "execution-oriented" RTE.

• Journal of The Korean Society of Integrative Medicine
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• v.7 no.1
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• pp.99-112
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• 2019

Purpose : The purpose of this study was to analyze Korean qualitative research studies on cerebral palsy and provide a basis for future direction of research. Methods : Twenty-six articles were selected by searching 4 Korean databases (NDSL, DBpia, KISS, and RISS) and reviewing the list of additional references. All the articles were analyzed and assessed using the Consolidated criteria for Reporting Qualitative research (COREQ). Results : Seventeen qualitative studies and 9 mixed quantitative and qualitative studies were selected, and methodologies such as case study (42.3 %), constant comparative method (23.1 %) and phenomenology (23.1 %) were used. The studies investigated the effects of interventions (38.5 %), support programs (30.8 %), and life experiences (26.9 %). Among the participants, 50.0 % were persons with disabilities only, 19.2 % were parents only, and 30.8 % were combination of persons with disabilities, parents, teachers, and therapists. The number of participants in most studies was 2-9 (57.7 %). The COREQ evaluation of the selected articles revealed many shortcomings in the studies. Interview guidelines were used only in 26.9 % of the studies. In particular, many articles did not describe in detail the characteristics of researchers and the relationship between researchers and the participants. Conclusion : In future, various research methodologies and research checklists must be used to stimulate high-quality qualitative research with on cerebral palsy.

• Journal of Physiology & Pathology in Korean Medicine
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• v.28 no.5
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• pp.548-557
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• 2014

The purpose of this study was to understand how vegetarian diets in Taiwanese hospitals are well established and provide suggestion for successful implementation in Korea. Micro-ethnographic case study with in-depth interviews, field observations, and paper reviews were used for this study. Experiences of doctors and nutritionists from Taiwanese hospitals where deliver vegetarian hospital diets were analyzed. This research found out Taiwanese life respect culture has influence on introducing vegetarian diets in hospital, besides most Participants agreed to use vegetarian diets for the medical purpose according to their clinic experiences and research results. Meanwhile there is no restriction to compel patients to keep vegetarian diets. All participants answered food has a large effect on the human body and further study on vegetarian diets' efficacy is required. The hospital chief's decision making is crucial to introduce vegetarian diets in hospitals. For the bigger picture, social supports, organizational supports and national policy supports are all important factors for it. The implications and recommendations for Korean hospitals were discussed. The public awareness for vegetarian diet for medical purpose along with research on its efficacy would be needed. In order to make good use of a vegetarian diet for medical purposes, we first need to build a vegetarian-friendly environment, go deep into the study of a diet's effects using diverse methodologies, and combine the diet with traditional medicine theory. Based on the results of this primary study, more related studies should be carried out in the future.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1997.10a
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• pp.105-108
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• 1997

Previous studies in stock market predictions using artificial intelligence techniques such as artificial neural networks and case-based reasoning, have focused mainly on spot market prediction. Korea launched trading in index futures market (KOSPI 200) on May 3, 1996, then more people became attracted to this market. Thus, this research intends to predict the daily up/down fluctuant direction of the price for KOSPI 200 index futures to meet this recent surge of interest. The forecasting methodologies employed in this research are the integration of genetic algorithm and artificial neural network (GAANN) and the integration of genetic algorithm and case-based reasoning (GACBR). Genetic algorithm was mainly used to select relevant input variables. This study adopts the categorical data preprocessing based on expert's knowledge as well as traditional data preprocessing. The experimental results of each forecasting method with each data preprocessing method are compared and statistically tested. Artificial neural network and case-based reasoning methods with best performance are integrated. Out-of-the Model Integration and In-Model Integration are presented as the integration methodology. The research outcomes are as follows; First, genetic algorithms are useful and effective method to select input variables for Al techniques. Second, the results of the experiment with categorical data preprocessing significantly outperform that with traditional data preprocessing in forecasting up/down fluctuant direction of index futures price. Third, the integration of genetic algorithm and case-based reasoning (GACBR) outperforms the integration of genetic algorithm and artificial neural network (GAANN). Forth, the integration of genetic algorithm, case-based reasoning and artificial neural network (GAANN-GACBR, GACBRNN and GANNCBR) provide worse results than GACBR.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.228-234
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• 2021

Real estate market participants need to have a sense of predicting real estate prices in decision-making. Commonly used methodologies, such as regression analysis, ARIMA, and VAR, have limitations in predicting the value of an asset, which fluctuates due to unknown variables. Therefore, to mitigate the limitations, an artificial neural was is used to predict the price trend of apartments in Seoul, the hottest real estate market in South Korea. For artificial neural network learning, the learning model is designed with 12 variables, which are divided into macro and micro factors. The study was conducted in three ways: (Ed note: What is the difference between case 1 and 2? Is case 1 micro factors?)CASE1 with macro factors, CASE2 with macro factors, and CASE3 with the combination of both factors. As a result, CASE1 and CASE2 show 87.5% predictive accuracy during the two-year experiment, and CASE3 shows 95.8%. This study defines various factors affecting apartment prices in macro and microscopic terms. The study also proposes an artificial network technique in predicting the price trend of apartments and analyzes its effectiveness. Therefore, it is expected that the recently developed learning technique can be applied to the real estate industry, enabling more efficient decision-making by market participants.

• Korean Journal of Remote Sensing
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• v.15 no.2
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• pp.91-105
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• 1999

Spatial data integration using multiple geo-based data sets has been regarded as one of the primary GIS application issues. As for this issue, several integration schemes have been developed as the perspectives of mathematical geology or geo-mathematics. However, research-based approaches for statistical/quantitative assessments between integrated layer and input layers are not fully considered yet. Related to this niche point, in this study, spatial data integration using multiple geoscientific data sets by known integration algorithms was primarily performed. For spatial integration by using raster-based GIS functionality, geological, geochemical, geophysical data sets, DEM-driven data sets and remotely sensed imagery data sets from the Ogdong area were utilized for geological thematic mapping related by mineral potential mapping. In addition, statistical/quantitative information extraction with respective to relationships among used data sets and/or between each data set and integrated layer was carried out, with the scope of multiple data fusion and schematic statistical assessment methodology. As for the spatial integration scheme, certainty factor (CF) estimation and principal component analysis (PCA) were applied. However, this study was not aimed at direct comparison of both methodologies; whereas, for the statistical/quantitative assessment between integrated layer and input layers, some statistical methodologies based on contingency table were focused. Especially, for the bias reduction, jackknife technique was also applied in PCA-based spatial integration. Through the statistic analyses with respect to the integration information in this case study, new information for relationships of integrated layer and input layers was extracted. In addition, influence effects of input data sets with respect to integrated layer were assessed. This kind of approach provides a decision-making information in the viewpoint of GIS and is also exploratory data analysis in conjunction with GIS and geoscientific application, especially handing spatial integration or data fusion with complex variable data sets.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.490-497
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• 2011

When operating Express and Standard trains, which run with two different scheduled time, in a single line with limited number of side tracks for overtaking standard trains, it is required to have various modeling methodologies and simulations in order to calculate an optimum headway to maximize the capacity of the line with the best scheduled time. Especially it is inevitable that following trains have to slow down or stop in the middle of their operations due to the preceding trains, in case it is inappropriate controlled about either in which station an overtaking should be taken or how long it should be. This study is to analyze TPS data which have been produced with a simulation program which the team has invented to optimize Express and Standard mixed traffic plan and to introduce an algorism which shows detected conflict data, calculates appropriate dwell time after getting overtaken and helps to decide stations for overtaking.