• 동의생리병리학회지
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• 제17권5호
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• pp.1151-1156
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• 2003

To obtain both of the fast and complete data entry and the acquisition of reusable data in a Computer-based Patient Record system (CPR), we are building the ontology that is used by the entry supporting agents. Our application domain is Traditional Chinese Medicine. As the tool for the implementation, we used protege 2000 which is ontology building tool and provides frame knowledge representation language. In this paper, the construction methodology of our ontology is reported.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.29.1-29
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• 2001

Neuro-fuzzy systems are multi-layered connectionist networks that realize the elements and functions of traditional fuzzy logic control/decision systems. A trained neuro-fuzzy system is isomorphic to a fuzzy logic system, and fuzzy IF-THEN rule knowledge can be explicitly extracted from the network. This talk presents a brief introduction to self-adaptive neuro-fuzzy systems and addresses some recent research results and applications. Most of the existing neuro-fuzzy systems exhibit several major drawbacks that lead to performance degradation. These drawbacks are the curse of dimensionality (i.e., fuzzy rule explosion), inability to re-structure their internal nodes in a changing environment, and their lack of ability to extract knowledge from a given set of training data. This talk focuses on our investigation of network architectures, self-adaptation algorithms, and efficient learning algorithms that will enable existing neuro-fuzzy systems to self-adapt themselves in an unstructured and uncertain environment.

• 수산해양교육연구
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• 제28권1호
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• pp.289-299
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• 2016

The purpose of the study was to develop evaluation methods which would measure student achievement and progress without traditional paper-pencil tests such as mid-term and final examinations. More specifically, the main research focus were to establish general directions of student assessment during free semester, to build evaluation models supporting student's participation and learning, and to report and record various student evaluation results. As research results, we found that student evaluation of free semester should be organized to improve a) experience learning activity, self-regulatory and collaboratory study, b) high-order thinking ability and character-building, and c) teacher-student-parent cooperation. Since traditional paper-pencil tests were restricted in free semester, student achievement should be provided by a way of performance descriptions on transcripts rather than quantitative grade points. Student performance descriptions had to show not only subject knowledge but also students efforts, motivation, and participation. These multiple and educationally meaningful information would be collected by teacher-student-parent communication and collaboration.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제6권4호
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• pp.193-202
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• 2017

인공지능 기반 지능형 시스템의 개발에는 일반적으로 신뢰성 높은 대규모 지식처리, 지식의 통합과 인간 수준의 이해, 지식기반 인간-기계협업, 전문가 수준의 지능 서비스 등의 효과적 통합이 요구된다. 특히 빅데이터 이해 기반 자가학습형 지식베이스 및 추론 기술 개발을 목표로 하고 있는 과제의 일환으로 개발 중인 WiseKB 통합 플랫폼은 대용량 지식을 저장하여 추론과정을 통한 질의 및 응답이 가능한 대규모 지식 베이스 역할을 수행하며 이를 위하여 지식표현, 자원통합, 지식저장소, 지식베이스, 복합추론, 지식학습 등의 요소기술들의 효과적 통합이 필수적이다. 통합 플랫폼의 효율적 통합을 위해서는 정확한 요구사항 분석이 중요하며, 이는 시스템의 특성을 고려한 적절한 요구사항 분석 방법론의 적용이 필요하다. 대표적인 요구사항 분석 방법인 순차적 방법론과 순환-점진적 방법론은 WiseKB와 같은 시스템의 대규모 복합적 개발 특성을 고려할 때 다양한 요구사항을 체계적으로 파악하기에 한계가 있다. 본 논문에서는 이러한 한계를 개선하고자 순차적 방법과 순환-점진적 방법론을 결합해 각 단점을 보완하고 대규모 복합적 특성을 갖는 시스템의 요구사항 분석을 효율적으로 진행할 수 있는 통합 방법론을 제시하고, 실제 적용을 통해 그 효과를 보인다.

• 한국정보시스템학회지:정보시스템연구
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• 제18권4호
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• pp.59-86
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• 2009

Data modeling can be regarded as a series of processes to abstract real-world business concerns. The conceptual modeling phase is often regarded as the most difficult stage in the entire modeling process, because quite different conceptual models may be produced even for similar business domains based on users' varying requirements and the data modelers' diverse perceptions of the requirements. This implies that an object considered as an entity in one domain may be considered as an attribute in another, and vice versa. However, many traditional knowledge-based automated database design systems unfortunately fail to construct appropriate Entity-Relationship Diagrams(ERDs) for a given set of requirements due to the rigid assumption that an object should be classified as an entity if it has been classified as an entity in previous applications. In this paper, we propose an alternative automation system which can generate ERDs from business descriptions using association rule mining technique. Our system can be differentiated from the traditional ones in that our system can perform data modeling only based on business description written by domain workers, rather than relying on any kind of knowledge base. Since the proposed system can produce various versions of ERDs from the same business descriptions simultaneously, users can have the opportunity to choose one of the ERDs as being the most appropriate, based on their business environment and requirements. We performed a case study for personnel management in a university to evaluate the practicability of the proposed system This paper summarizes the result of it in the experiment section.

• 4차산업연구
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• 제4권1호
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• pp.1-9
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• 2024

Purpose: Education is the part of a fundamental human right across the world. In recent years, the trend of virtual education has increased tremendously. The paper aims to find the impact of adoption, accessibility, interactions, knowledge, and satisfaction on the success of transformation towards virtual education. Research design, data and methodology: Primary data has been gathered through the use of responses from students taking admission in virtual higher education to standardized questionnaires. Of the 250, only 122 were considered complete and have been used in further studies. Convinced random sampling method has been used. The results were evaluated using the Likert Five-Point Scale. For applying these statistical tools software SmartPLS and SPSS 19 have been used. The fitness of the model has been re-checked through an Artificial Neural Network (ANN). Result: Results derived that adoption, accessibility, and interactions have a significant impact on knowledge, knowledge influences satisfaction level and satisfaction have a meaningful impact on the success of transformation towards virtual education. Conclusion: It can be concluded that virtual education has the potential to change the future of the education system and its potential in India. The highest importance is due to satisfaction (100%), adoption (98.7%), knowledge (91.4%), accessibility (62%), and interaction (29.2%).

• 동의신경정신과학회지
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• 제20권4호
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• pp.103-113
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• 2009

Objectives : The purpose of this study is to review the auricular acupuncture treatment of insomnia in current traditional medicine. Methods : We reviewed the 18 studies about auricular acupuncture of insomnia which were published from 2005 through 2009. We selected those studies from PubMed, ScienceDirect, CNKI, KMbase, Korean studies Information Service System, and Korean traditional knowledge portal. Results : Selected 18 studies were divided into 8 case reports and 10 control studies. Auricular acupuncture points frequently used were Sinmun(神門), Heart(心) and acupuncture points frequently used were Baekhoe(百會, GV20), Sinmun(神門, HT7). According to specific parts of symptom, some points were added. Most of studies reported that Auricular acupuncture treatment of insomnia were very effective. Conclusions : There have been many auricular acupuncture treatment of insomnia in traditional medicine, and we believe that these studies could be applied to the clinical practices in Korea.

• 혜화의학회지
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• 제22권1호
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• pp.91-104
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• 2013

Objective : This study was designed to analyze the clinical studies on Tic disorder in traditional Korean medicine and traditional Chinese medicine. Methods : To figure out the Tic disorder, Korean medical studies from Oriental Medicine Advanced Searching Integrated System (OASIS) and Chinese Medical Journals from Wangfang data and China National Knowledge Infrastructure (CNKI) which published in 2008 to 2012 were analyzed. Results & Conclusions : 1. DSM-IV(7 studies), CCMD(3 studies) were frequently used in the diagnosis of tic disorder. 2. The herbs used for the treatment of tic disorder are Uncariae ramulus et Uncus(釣鉤藤), Paeoniae Radix Alba(白芍藥), Poria(白茯苓), Buthus martensi Karsch(全蝎) etc. 3. Acupuncture points frequently used were Paek'oe(GV20), Pungji(GB20), Naegwan(PC6), Sasinchong(EX-HN1), T'aech'ung(LR3), Joksamni(ST36), Hapgok(LI4) and so on. 4. The cause of Tic disorder is connected with liver, heart, spleen, kidney, gall bladder among the internal organs and Fire(火), Wind(風), Dampness(濕) of external causes.

• Asian Pacific Journal of Cancer Prevention
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• 제16권1호
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• pp.145-152
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• 2015

Barriers to health seeking constitute a challenging issue in the treatment of breast cancer. The current meta-synthesis aimed to explore common barriers to health seeking among Malaysian breast cancer patients. From the systematic search, nine studies were found meeting the inclusion criteria. Data extraction revealed that health behavior towards breast cancer among Malaysia women was influenced by knowledge, psychological, sociocultural and medical system factors. In terms of knowledge, most of the Malaysian patients were observed to have cursory information and the reliance on the information provided by media was limiting. Among psychological factors, stress and sense of denial were some of the common factors leading to delay in treatment seeking. Family member's advice, cultural beliefs towards traditional care were some of the common sociocultural factors hindering immediate access to advanced medical diagnosis and care. Lastly, the delay in referral was one of the most common health system-related problems highlighted in most of the studies. In conclusion, there is an immediate need to improve the knowledge and understanding of Malaysian women towards breast cancer. Mass media should liaise with the cancer specialists to disseminate accurate and up-to-date information for the readers and audience, helping in modification of cultural beliefs that hinder timing health seeking. However, such intervention will not improve or rectify the health system related barriers to treatment seeking. Therefore, there is an immediate need for resource adjustment and training programs among health professional to improve their competency and professionalism required to develop an efficient health system.

• 한국정보시스템학회지:정보시스템연구
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• 제26권4호
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• pp.63-85
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• 2017

Purpose Recently, much attention in building smart factory has dramatically increased with an emergence of the Industry 4.0. As we noted a connectivity gap between main concerns of MIS and the automated manufacturing systems such as POP and MES, it is recommended that CPS (Cyber-Physical System) can be an important building block for the smart factory and enrich the depth of MIS knowledge. Therefore, first, this study attempted to identify the connectivity gap between the traditional field of MIS (ERP, SCM, CRM, etc.) and the automated manufacturing systems, and then recommended CPS as a technical bridge to fill the gap. Secondly, we studied concepts and research trend of CPS that is believed to be a virtual mechanism to manage manufacturing systems in an integrated manner. Finally, we suggested research and educational opportunities in MIS based on the CPS perspectives. Design/methodology/approach Since this paper introduced relatively new idea of CPS originally discussed in the field of engineering, traditional MIS research method such as survey and experiment may not fit well. Therefore this research collected technical cases through literature survey in engineering fields, video clips from Youtube, and field references from various ICT Exhibitions and Conventions. Then we analyzed and reorganized them to highlight the necessity of CPS and draw some insight to share with MIS academia. Findings This paper introduced CPS to bridge the connectivity gap between the traditional MIS and automated manufacturing system (smart factory), a concern far away from the MIS academia. Further, this paper suggested future research subjects of MIS such as developing software to share big production data and systems to support manufacturing decisions, and innovating MIS curricula including smart and intelligent manufacturing technology within the context of traditional enterprise systems.