• 한국건설관리학회논문집
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• 제13권5호
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• pp.35-44
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• 2012

건축물 유지관리 단계에서의 안전점검 및 정밀안전진단은 1, 2종 시설물에만 국한되어 있으나 중소규모 건축물이 전체 건축물의 99.4%를 차지할 정도로 많다는 점을 고려할 때, 중소규모 건축물의 안전진단은 반드시 필요하다. 이 연구에서는 현행 안전점검 및 정밀안전진단 체계의 문제점을 고찰하고, 중소규모 건축물에 적용할 수 있는 안전진단 모델을 개발하였다. 현행 평가방식을 고찰하고 설문조사를 통해 기존 상태평가 항목을 중소규모 건축물에 적합하게 조정하였다. 안전진단 모델 개발에 퍼지이론이 적용되었으며, 평가를 용이하게 하기 위해 웹기반 프로그램을 개발하였다. 이 연구의 결과를 실무에 적용한다면 1, 2종 이외의 중소규모 건축물도 안전점검 및 정밀안전진단을 효율적으로 수행할 수 있을 것이다.

• 동의생리병리학회지
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• 제23권6호
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• pp.1460-1464
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• 2009

In spite of many studies on statistical model for pattern identifications (PIs), little attention has been paid to the complexity of pattern diagnosis processed by oriental physicians. The aim of this study is to develop a statistical diagnostic model which discriminates four PIs using multiple indicators in stroke. Clinical data were collected from 981 stroke patients and 516 data of which PIs were agreed by two independent physicians were included. Discriminant analysis was carried out using clinical indicators such as symptoms and signs which referred to pattern diagnosis, and applied to validation samples which contained all symptoms and signs manifested. Four Fischer's linear discriminant models were derived and their accuracy and prediction rates were 93.2% and 80.43%, respectively. It is important to consider the pattern diagnosis processed by oriental physicians in developing statistical model for PIs. The discriminant model developed in this study using multiple indicators is valid, and can be used in the clinical fields.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2012년 춘계학술대회
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• pp.547-559
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• 2012

This thesis introduced a model of diagnosing a company's quality management, and a process of achieving quality innovation based on the model. As for study methods, books and theses related to quality and process innovation were collected for investigation, a survey on internal employees to investigate major issues of quality and standard consciousness was conducted, and 5DP was discussed for balanced process analysis.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제6권10호
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• pp.493-498
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• 2017

캡슐내시경 검사는 일반적인 내시경의 접근이 어려운 소장을 관찰하는 데 특화되어 있다. 캡슐내시경 검사를 통한 진단 과정은 크게 적응증 판단, 내시경 검사, 진단의 세 단계로 이루어진다. 이 때, 진단을 위해 필요한 핵심 의료 정보로는 적응증, 병변, 질환 정보가 있다. 본 논문에서는 이와 같은 핵심 정보를 의미적 특징 정보, 이를 추출하는 과정을 의미 기반 분석이라 정의한다. 이와 같은 의미 기반 분석은 내시경 검사 전 과정에 걸쳐 수행된다. 먼저 캡슐내시경 검사에 앞서 환자의 증상을 확인하여 예상 질병 정보를 획득한다. 다음, 획득한 정보를 기반으로 캡슐내시경 검사를 실시한 후 발견된 병변의 위치와 진단을 위한 조직, 혈관, 산도와 같은 보조 정보들을 활용하여 최종 진단을 내린다. 이때, 예상 질병을 확인하기 위한 증상과 질병 간의 연관성이나 병변의 위치로부터 확인해야할 보조 정보 간의 해부학적 연관성이 고려되어야 한다. 그러나 기존의 내시경 관련 의료 정보 표준과 같은 지식 모델은 단순히 내시경 검사와 관련된 용어들이 나열된 형태로 의미적 연관성이 고려되지 않는다. 따라서 본 논문에서는 캡슐내시경 검사의 진단 보조를 위한 의미적 연관성 기반의 지식 모델을 제안한다. 제안하는 모델은 캡슐내시경 검사의 주요 대상 기관인 소장에 특화된 질병 모델과 해부학 모델로, 캡슐내시경 검사를 위한 효과적인 의료 정보 제공을 가능케 한다.

• 산업경영시스템학회지
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• 제42권4호
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• pp.126-134
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• 2019

Nowadays, since there are so many big data available everywhere, those big data can be used to find useful information to improve design and operation by using various analysis methods such as data mining. Especially if we have event log data that has execution history data of an organization such as case_id, event_time, event (activity), performer, etc., then we can apply process mining to discover the main process model in the organization. Once we can find the main process from process mining, we can utilize it to improve current working environment. In this paper we developed a new method to find a final diagnosis of a patient, who needs several procedures (medical test and examination) to diagnose disease of the patient by using process mining approach. Some patients can be diagnosed by only one procedure, but there are certainly some patients who are very difficult to diagnose and need to take several procedures to find exact disease name. We used 2 million procedure log data and there are 397 thousands patients who took 2 and more procedures to find a final disease. These multi-procedure patients are not frequent case, but it is very critical to prevent wrong diagnosis. From those multi-procedure taken patients, 4 procedures were discovered to be a main process model in the hospital. Using this main process model, we can understand the sequence of procedures in the hospital and furthermore the relationship between diagnosis and corresponding procedures.

• 한국BIM학회 논문집
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• 제11권3호
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• pp.34-44
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• 2021

This study quantitatively analyzes the work performance of the structural safety diagnosis team that diagnoses pipe racks. To this end, a method for evaluating the performance of the structural safety diagnosis team using the queuing model was proposed. For verification, the case of applying the existing method and the method of introducing a 3D laser scanner for one site was used. The period, number of people, and initial investment cost of each project were collected through interviews with case project experts. As a result of analyzing the performance of the structural safety diagnosis team using the queuing model, it was possible to confirm the probability of delay in the work of each project and the amount of delayed work. Through this, the cost (standby cost) when the project was delayed was analyzed. Finally, economic analysis was conducted in consideration of the waiting cost, labor cost, and initial investment cost. The results of this study can be used to decide whether to introduce 3D laser scanners.

• KEPCO Journal on Electric Power and Energy
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• 제4권2호
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• pp.89-99
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• 2018

Downtime and malfunction of industrial rotor machines represents a crucial cost burden and productivity loss. Fault diagnosis of this equipment has recently been carried out to detect their fault(s) and cause(s) by using fault classification methods. However, these methods are of limited use in detecting rotor faults because of their hypersensitivity to unexpected and different equipment conditions individually. These limitations tend to affect the accuracy of fault classification since fault-related features calculated from vibration signal are moved to other regions or changed. To improve the limited diagnosis accuracy of existing methods, we propose a new approach for fault diagnosis of rotor machines based on the model generated by supervised learning. Our work is based on feature residual values from vibration signals as fault indices. Our diagnostic model is a robust and flexible process that, once learned from historical data only one time, allows it to apply to different target systems without optimization of algorithms. The performance of the proposed method was evaluated by comparing its results with conventional methods for fault diagnosis of rotor machines. The experimental results show that the proposed method can be used to achieve better fault diagnosis, even when applied to systems with different normal-state signals, scales, and structures, without tuning or the use of a complementary algorithm. The effectiveness of the method was assessed by simulation using various rotor machine models.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제12권10호
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• pp.445-454
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• 2023

최근에는 협동 로봇의 데이터를 활용한 다양한 결함진단 연구가 수행되고 있다. 협동 로봇의 결함진단을 수행하는 기존 연구들은 기존 연구의 학습 데이터는 미리 정의된 기기의 동작을 가정하고 수집한 정적 데이터를 사용한다. 따라서 결함진단 모델은 학습한 데이터 패턴에 대한 의존성이 높아지는 한계가 있다. 또한 단일 모터를 사용한 실험으로 다관절이 동작하는 협동 로봇의 특성을 반영한 진단이 이루어지지 못했다는 한계가 있다. 본 논문에서는 앞서 언급한 두 가지 한계점을 해결할 수 있는 LSTM 진단 모델을 제안한다. 제안하는 방법은 단일 축 및 다중 축 작업 환경에서의 진동 및 전류 데이터의 상관분석을 사용하여 정상 대표 패턴을 선정하고, 정상 대표 패턴과의 차이를 통해 잔차 패턴을 생성한다. 생성된 잔차 패턴을 입력으로 축별 기어 마모 진단을 수행할 수 있는 LSTM 모델을 생성한다. 해당 결함진단 모델은 동작별 대표 패턴을 통해 모델의 학습 데이터 패턴에 대한 의존성을 낮출 수 있을 뿐 아니라 다중 축 동작 수행 시 발생하는 결함을 진단할 수 있다. 마지막으로, 내부 및 외부 데이터의 특성을 모두 반영하여 결함진단 성능을 개선한 결과 98.57%의 높은 진단 성능을 보였다.

• 전기학회논문지
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• 제56권4호
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• pp.724-729
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• 2007

In this paper, we propose a new diagnosis method of DC/DC converter aging. The method is based on variations of the parasitic resistor for the aging process. We apply an on-line diagnosis of the DC/DC converter because the observation is not a device, but a system. This study proposes a method of DC/DC converter diagnosis by analyzing the variations of model on the variations of parasitic resistor.

• The Journal of the Acoustical Society of Korea
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• 제29권2E호
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• pp.64-72
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• 2010

Osteoporosis is a skeletal disease characterized by two factors: reduced bone mass and microstructure disruption of bone tissue. These symptoms increase bone fragility and can contribute to eventual fracture. In recent years, quantitative ultrasound (QUS) technologies have played a growing role in the diagnosis of osteoporosis. Most of the commercial bone sonometers measure speed of sound and/or broadband ultrasound attenuation at peripheral skeletal sites. However, QUS parameters are purely empirical measures that have not yet been firmly linked to physical parameters, such as bone strength or porosity, and the underlying physics for their variations in cancellous bone is not well understood yet. This paper reviews the QUS technologies for the diagnosis of osteoporosis and also addresses several theoretical models, such as the Biot model, the scattering model, the stratified model, and the modified Biot-Attenborough model, for ultrasonic wave propagation in bone.