• Journal of Electrical Engineering and Technology
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• 제13권5호
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• pp.2134-2143
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• 2018

This work introduces a fault diagnosis method for transformer based on self-powered radio frequency identification (RFID) sensor tag and improved Hilbert-Huang transform (HHT). Consisted by RFID tag chip, power management circuit, MCU and accelerometer, the developed RFID sensor tag is used to acquire and wirelessly transmit the vibration signal. A customized power management including solar panel, low dropout (LDO) voltage regulator, supercapacitor and corresponding charging circuit is presented to guarantee constant DC power for the sensor tag. An improved band restricted empirical mode decomposition (BREMD) which is optimized by quantum-behaved particle swarm optimization (QPSO) algorithm is proposed to deal with the raw vibration signal. Compared with traditional methods, this improved BREMD method shows great superiority in reducing mode aliasing. Then, a promising fault diagnosis approach on the basis of Hilbert marginal spectrum variations is brought up. The measured results show that the presented power management circuit can generate 2.5V DC voltage for the rest of the sensor tag. The developed sensor tag can achieve a reliable communication distance of 17.8m in the test environment. Furthermore, the measurement results indicate the promising performance of fault diagnosis for transformer.

• 품질경영학회지
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• 제51권2호
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• pp.223-245
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• 2023

Purpose: This study aim to identify the trends in AI-based PHM technology that can enhance reliability and minimize costs. Furthermore, this research provides valuable guidelines for future studies in various industries Methods: In this study, I collected and selected AI-based PHM studies, established classification criteria, and analyzed research trends based on classified fields and techniques. Results: Analysis of 125 domestic studies revealed a greater emphasis on machinery in both diagnosis and prognosis, with more papers dedicated to diagnosis. various algorithms were employed, including CNN for image diagnosis and frequency analysis for signal data. LSTM was commonly used in prognosis for predicting failures and remaining life. Different industries, data types, and objectives required diverse AI techniques, with GAN used for data augmentation and GA for feature extraction. Conclusion: As studies on AI-based PHM continue to grow, selecting appropriate algorithms for data types and analysis purposes is essential. Thus, analyzing research trends in AI-based PHM is crucial for its rapid development.

• 혜화의학회지
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• 제23권1호
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• pp.13-20
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• 2014

Objectives : Clinical data in traditional medicine, such as Korean medicine, traditional Chinese medicine have a long history of accumulating evidence and these rich data are recorded in classic literature. We have conducted a study of developing an algorithm that support clinical diagnosis with composing both users knowledge and data obtained from literature. In order to define necessary information and required steps in diagnosis procedure, we have established a clinical diagnostic procedure including a step of collecting patients symptoms, a step of determining candidates, a step of diagnostic decisions, a step of deciding of treatment and a step of adjusting medicinal treatment. Methods : Our study have been based on the following premises. 1. Using data obtained from literature contributes to accurate diagnosis 2. Displaying the data before users request contributes to accurate conclusion. Displaying before users request enable users to recognize their overlooking a fact on purpose or not. 3. Checking symptoms that are commonly accompanied with a group of diseases that accompany symptoms appealed by a patient contributes to accurate conclusion. These symptoms are worthy of checking. 4. Comparing more than two candidates contributes to accurate conclusion. Users can compare their accompanied symptoms with patients symptoms and this helps users to make a decision. Results : Based on the above premises, we have developed an literature based algorithm to provide various functions, such as recommending symptoms to check, comparing groups of symptoms, differential diagnosis, recommending medicinal materials to prescribe, and more. Conclusions : By the results of simulation with virtual diagnostic scenario, we concluded this algorithm is useful helping clinician in diagnosis procedure.

• 의료법학
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• 제22권3호
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• pp.97-124
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• 2021

의료기관에는 진단용 방사선 발생장치를 취급하는 방사선사, 의사, 치과의사, 치과위생사 등 방사선 관계 종사자가 있다. 그리고 간호사, 간호조무사 등 방사선진료를 보조하거나 방사선 검사실로 환자이송 등을 하는 업무 보조자들이 있다. 방사선 관계 종사자는「의료법」 등에 의해 방사선 피폭관리가 이루어지고 있으나 방사선 진료업무 보조자 등은 이에 대한 법적 근거가 없는 실정이다. 또한 진단용 방사선 피폭관리는 의료법령에 의해 규율되고 있고, 치료용 방사선과 핵의학검사에 의한 방사선 피폭관리는「원자력안전법」의 규율을 받고 있다. 이에 진단용 방사선에 의한 피폭관리를 개선하기 위하여「의료법」 상 진단용 방사선 피폭관리에 관한 규정과「원자력안전법」 상 관련 규정들을 비교·검토하여 보았다. 그 결과로 얻은 주요 내용은 다음과 같다. 첫째, 진단용 방사선에 의한 피폭관리 대상으로 방사선 관계 종사자 외에 방사선 피폭 우려가 있는 간호사, 간호조무사, 임상실습 학생 등을 포함시켜 입법적으로 해결할 필요가 있다. 둘째,「원자력안전법」에서처럼 진단용 방사선 관계 종사자가 임신이 확인된 경우에는 피폭선량 한도를 명문으로 규정해야 한다. 셋째,「진단용 방사선 발생장치의 안전관리에 관한 규칙」의 개인피폭선량계의 종류에 관한 규정을 현실에 맞게 개정할 필요가 있다. 넷째, 방사선 관계 종사자, 방사선작업종사자와 수시출입자에 대한 건강진단의 검사항목은 동일해야 할 것으로 보인다. 다섯째, 의료기관에서 진단용 방사선뿐만 아니라 치료용 방사선과 핵의학을 포함한 의료용 방사선 전체를 하나의 법체계에서 통일하여 규율하는 것이 필요하다고 본다.

• 디지털융복합연구
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• 제3권1호
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• pp.183-194
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• 2005

This study is aimed at building up an Ontology to solve the discrepancy of terminologies between teachers and students by showing, through Ontology, the knowledge for diagnosis of underachieving students. Also this study makes it possible to infer the diagnosis based on information of these underachieving students. In addition, while a general Underachieving Students diagnosis system shows special diagnosis, this Ontology system helps users obtain correct concepts through this knowledge based system, and suggest building an Ontology to extend unclear conceptual knowledge to clearer ones.

• 동의생리병리학회지
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• 제20권1호
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• pp.245-256
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• 2006

This research sought to survey oriental medicine diagnosis methods currently practiced, analyze their advantages and disadvantages, and work out clinical establish direction for oriental medicine diagnosis methods. Oriental medicine diagnosis methods currently practiced in the related circles are categorized into traditional Korean diagnosis methods and holistic auxiliary diagnosis methods. The traditional Korean diagnosis method focuses on treating diseases of traditional Korean health management methods which are based on the bodily self-viability capabilities according to the Orient's viewpoint of health. Under the diagnosis method, based on the cognition of maximizing the state of the bodily self-viability capabilities together with the characteristics of diseases, symptoms, pulse, first face-to-face patient observation, physical constitution, and life principle are managed according to form, color, pulse and symptom which divide the bodily viability capacities into inherent and acquired elements amid both elements interacting.

• Clinical and Experimental Pediatrics
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• 제48권12호
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• pp.1283-1294
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• 2005

The American Academy of Pediatrics and American Academy of Family Physicians developed the clinical practice guideline on the management of acute otitis media. The American Academy of Pediatrics, American Academy of Family Physicians, and American Academy of Otolaryngology-Head and Neck Surgery developed the clinical practice guideline on the diagnosis and management of otitis media with effusion. These two guidelines provide evidence-based recommendations.

• Imaging Science in Dentistry
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• 제32권3호
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• pp.129-134
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• 2002

Purpose : To implement the database system of oral and maxillofacial radiological images using a commercial medical image management software with personally developed classification code. Materials and methods : The image database was built using a slightly modified commercial medical image management software, Dr. Image v.2.1 (Bit Computer Co., Korea). The function of wild card '*' was added to the search function of this program. Diagnosis classification codes were written as the number at the first three digits, and radiographic technique classification codes as the alphabet right after the diagnosis code. 449 radiological films of 218 cases from January, 2000 to December, 2000, which had been specially stored for the demonstration and education at Dept. of OMF Radiology of Dankook University Dental Hospital, were scanned with each patient information. Results: Cases could be efficiently accessed and analyzed by using the classification code. Search and statistics results were easily obtained according to sex, age, disease diagnosis and radiographic technique. Conclusion : Efficient image management was possible with this image database system. Application of this system to other departments or personal image management can be made possible by utilizing the appropriate classification code system.

• 지식경영연구
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• 제10권1호
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• pp.71-100
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• 2009

Recently, many of organizations build up their performance measurement system (PMS) to measure their knowledge management performance. However, the system that doesn't well reflect the organization's strategies as well as surroundings could obstruct their performance improvement, instead. Therefore, It is really important to establish the PMS to reflect organization's surroundings and strategies. The purpose of this study is to make a diagnosis of a performance measurement practice of a domestic university's knowledge management. To serve this research purpose, we examine the uptight performance index and PMS from existing references. And we diagnose the specific practices and maturity rates of measuring performances, and the recognition of the performance index at "D" university recently adopting balanced scorecard to performance evaluation through the survey on academic affairs committee members, performance evaluation committee members, and administration members. The method analyzing data from the survey is a gap analysis which includes alignment analysis, congruence analysis, consensus analysis, and confusion analysis. We make a diagnosis of performance measurement practices at "D" university, raise several points of this performance measurement system, and present the improvement plans from these problems.

• 한국구조물진단유지관리공학회 논문집
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• 제15권5호
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• pp.160-168
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• 2011

성수대교 삼풍백화점 붕괴사고 등을 계기로 유지관리 분야의 중요성이 대두되면서 1995년 시설물의안전관리에관한특별법이 제정되어 점검 진단이 실시되는 등 본격적인 유지관리체제가 시작됐다. 그러나 점검 진단의 역사가 일천한 관계로 점검 진단에 대한 기술수준이 낮았고 연구 성과 또한 미흡하여 부실 점검 진단에 대한 우려가 상존해 있었다. 이에 2002년 평가제도가 도입되면서 부실 점검 진단 비율이 지속적으로 낮아져 왔다. 그러나 최근 점검 진단 실시결과 평가실적에 따르면 향후 부실 점검 진단비율이 더 이상 낮아지기 힘든 경향을 보이고 있다. 이를 계기로 부실 점검 진단과 관련하여 관련기관의 설문조사와 메커니즘 측면에서 고찰하므로서, 부실 점검 진단이 초래되는 근원적인 문제점을 나열하였고, 이를 바탕으로 현행 평가제도의 개선방향을 제시 하고자 하였다.