• Journal of the Korean Operations Research and Management Science Society
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• v.19 no.2
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• pp.199-215
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• 1994

Many business forecasting problems are characterized by infrequent occurrences, a large number of variables, presence of error, and great complexity. Because no forecasting models and tools are effective in handing these problems, managers often use the outcomes of past analogous cases to predict the outcome of the current one. They (1) observe significant attributes in describing a case, (2) identify the past cases similar in these attributes to the current case, and (3) predict the outcome of the current case based on those of the analogous cases identified through some mental simulation and adjustment. This process of forecasting can be termed forecasting-by-analogy. In spite of fairly frequent use of this forecasting process in practice, however, it has not been recognized as a primary forecasting tool, nor applied on a regular basis. In this paper, by automatizing this process using computer models, we develop a case-based forecasting system (CBFS), which identifies relevant cases and applies their coutcomes to generate a forecast. We demonstrate the effectiveness of the CBFS in terms of its accuracy in predicting the outcome of the current problem based on the similar cases identified. We compare the forecasting accuracy of the CBFS with that of regression models developed by stepwise procedure under varied simulated problem conditions. The CBFS outperforms regression models in most comparisons. The CBFS could be used as an effective forecasting tool.

• 대한상한금궤의학회지
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• v.5 no.1
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• pp.1-17
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• 2013

Objective : The purpose of this study is to help korean medical doctors write case reports based on Shanghanlun six clinical patterns and provisions accurately and effectively. Methods : To achieve the purpose of this study, we reviewed Shanghanlun six clinical patterns and provisions. After this, we formed a case report form according to the importance of Korean medical terms in Shanghanlun. Results : Through this study, we got the consistency and unity of case reports based on Shanghanlun six clinical patterns and provisions. Conclusions : This case report form is designed for gathering clinical data which are organized clearly according to the diagnostic system based on Shanghanlun six clinical patterns and provisions.

• 대한상한금궤의학회지
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• v.10 no.1
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• pp.133-142
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• 2018

Objective : The purpose of this paper is to report the improvement of patient with hyperhidrosis treated by herb medication based on Shanghanlun disease pattern identification diagnostic system. Methods : According to 'Disease Pattern Identification Diagnostic System based on Shanghanlun Provisions', the patient was diagnosed with Taeyang-byung Kyeolhyung number 156 provision, and took Oryeong-san herb medication 15days. The result of administration was evaluated by Hyperhidrosis Disease Severity Scale (HDSS) and Visual Analog Scale (VAS). Results : After administration of Oryeong-san 15days, based on 156 provision of Oryeong-san seclected according to Shanghanlun provisions, Hyperhidrosis Disease Severity Scale (HDSS) was decreased from 4 to 2 and Visual Analog Scale (VAS) was decreased from 10 to 2. Conclusions : The patient's hyperhidrosis improved. This case report suggests that the word '遂' on the 153-156 provisions of Shanghanlun be a direct emotional cause of hyperhidrosis in this case.

• 대한상한금궤의학회지
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• v.12 no.1
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• pp.199-209
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• 2020

Objective: The purpose of this paper is to report the improvement in a patient with benign paroxysmal positional vertigo (BPPV) treated with herbal medication based on the Shanghanlun disease pattern identification diagnostic system. Methods: According to the 'Disease Pattern Identification Diagnostic System based on Shanghanlun Provisions,'the patient was diagnosed with Guorem-byung number 350 provision, and took Baekho-tang herbal medication for 15 days. The result of administration was evaluated using the Dizziness Handicap Inventory (DHI) and the Visual Analog Scale (VAS). Results: After administration of Baekho-tang for 15 days, based on the 350 provision of Baekho-tang diagnosed according to the Shanghanlun provisions, the DHI score decreased from 74 to 16 and the VAS score decreased from 10 to 1. Conclusions: The patient recovered from symptoms of BPPV. This case report suggests that the words '滑,''厥,''裏'on the 350 provision of Shanghanlun mean physical and psychological causes of BPPV in this case.

• Educational Technology International
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• v.12 no.1
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• pp.1-20
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• 2011

The study described in this paper examined the effectiveness of a multimedia case-based learning environment to teach technology integration to Korean pre-service teachers. The structure and philosophy behind the use of embedded video in an online, multimedia system and the data collected from 103 pre-service teachers are presented and discussed. The overall finding shows that there was no significant difference from pre- to posttest among the lecture, the case-based, and the mixed environment groups. However, low prior knowledge students improved more when they learned about technology integration with the mixed method than with the case-based method alone. Discussion about this result and its educational implications conclude the paper.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.3
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• pp.932-951
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• 2021

The effectiveness of testing in Model-based Testing (MBT) for Software Product Line (SPL) can be achieved by considering fault detection in test case. The lack of fault consideration caused test case in test suite to be listed randomly. Test Case Prioritization (TCP) is one of regression techniques that is adaptively capable to detect faults as early as possible by reordering test cases based on fault detection rate. However, there is a lack of studies that measured faults in MBT for SPL. This paper proposes a Test Case Prioritization (TCP) approach based on dissimilarity and string based distance called Last Minimal for Local Maximal Distance (LM-LMD) with Dice-Jaro-Winkler Dissimilarity. LM-LMD with Dice-Jaro-Winkler Dissimilarity adopts Local Maximum Distance as the prioritization algorithm and Dice-Jaro-Winkler similarity measure to evaluate distance among test cases. This work is based on the test case generated from statechart in Software Product Line (SPL) domain context. Our results are promising as LM-LMD with Dice-Jaro-Winkler Dissimilarity outperformed the original Local Maximum Distance, Global Maximum Distance and Enhanced All-yes Configuration algorithm in terms of Average Fault Detection Rate (APFD) and average prioritization time.

• Journal of Korean Institute of Industrial Engineers
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• v.36 no.4
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• pp.230-242
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• 2010

In this paper, an environmental monitoring and diagnosis system based on ubiquitous computing technology, shortly u-Eco Monitoring System, is proposed. u-Eco Monitoring System is designed to: 1) Collect information from the manufacturing processes via ubiquitous computing technology, 2) Analyze the current status, 3) Identify the cause of problem if detected by rule-based and case-based reasoning, and 4) Provide the results to the operator for proper decision making. Based on functional modeling, a generic architecture is derived, followed by application to a manufacturing system in iron and steel making industry. Finally, to show the validity of the proposed method, a prototype is developed and tested. The developed methods can be used as a conceptual framework for designing environmental monitoring and diagnosis system for industrial practices by which monitoring accuracy and response time for abnormal status can be significantly enhanced, and relieving operator pressure from manual monitoring and error-prone decision making.

• Journal of information and communication convergence engineering
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• v.3 no.4
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• pp.209-212
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• 2005

This study proposes hybrid case-based reasoning and genetic algorithms model for customer classification. In this study, vertical and horizontal dimensions of the research data are reduced through integrated feature and instance selection process using genetic algorithms. We applied the proposed model to customer classification model which utilizes customers' demographic characteristics as inputs to predict their buying behavior for the specific product. Experimental results show that the proposed model may improve the classification accuracy and outperform various optimization models of typical CBR system.

• Journal of Korean Society on Water Environment
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• v.23 no.1
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• pp.103-110
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• 2007

An efficient operational strategy using expert system for metro water supply systems in case of emergency situations is developed in this study. The emergency situations of the water supply systems are classified into three categories : pipeline system accident, machinery and electric facility accident and water quality accident. A PC-based expert system is developed using CLIPS for Seoul metro water supply system, Phase 1 & 2 system and Phase 3 & 4 system. Broad professional knowledges and experiences from the experts in the water supply systems have been collected systematically to construct the knowledge base. Decision-making in case of an emergency is based upon the professional knowledge so that a rational and efficient operational management can be available even in the absence of experienced expert. Especially the expert model developed in this study also provides a guide for pumping operation in case of pipeline accident to confirm that the proper pressure to all nodes in the system is supplied. The pipe network simulator KYPIPE has been consecutively executed by trial and error fashion for each pipeline in the system. The results from KYPIPE were included in the knowledge base to supplement the knowledge of the field engineers.

• Journal of Information Technology Applications and Management
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• v.13 no.4
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• pp.57-70
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• 2006

Location Based Service (LBS) provides high-value added service to users and various works about IBS have been actively performed. The core technology or LBS is positioning of the users. In the field of positioning, outdoor positioning and indoor positioning are developed separately. We are proposing a design of an outdoor-indoor positioning system, implementing a prototype of the system, and verifying the usefulness of the system through experiments. Our experimental results shows that the average error of our system is 4.8 m in the case of out-door positioning and it is 3.3 m in the case of in-door positioning.