• Korean Journal of Clinical Laboratory Science
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• 제49권2호
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• pp.108-113
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• 2017

A sudden cardiac death (SCD) is defined as an unnatural sudden death caused by heart disease. To determine the cause of death, observation of the microscopic change in cardiac muscle tissue is suggested, rather than visual postmortem examination. However, this suggestion is time consuming to be applied in the field, is cost-ineffective, and is inconvenient. Therefore, the purpose of this study is to understand whether temporary inspection used to examine the cardiac marker (Myoglobin, CK-MB, cTn I) in postmortem blood via rapid cardiac triple test kit (which is used by clinics to diagnose patients with acute myocardial infarction) can effectively be utilized for the paragnosis of sudden, unnatural cardiac death. The results of postmortem examination and temporary investigation found that 23 groups (76.7%), among the 30 experimental groups, were assumed to be non-traumatic sudden cardiac deaths, which indicated a positive response (according to comparison with forensic autopsy); 4 groups, among the 10 control groups, were assumed to be cerebrovascular disease, which indicated a negative response; 1 group was assumed to be alcoholic and drug poisoning, indicating a positive response; and 1 group was assumed to be oxygen deficiency due to suffocation, indicating a positive response. Hence, it was found that the level of sensitivity and specificity of cardiac marker's temporary inspection showed significant result, 76.7% and 80% respectively. Given this, temporary inspection can be effectively used for the paragnosis of sudden cardiac death when the medical history, situation of the site, and postmortem interval are considered together. With the result of precedent research on time of first revelation and extinction in blood, and difference in concentration over time progress according to the characteristic of cardiac marker's (myoglobin, CK-MB, cTn I) individual material, further research on concentration of cardiac marker per each post time needs to be conducted in order to estimate time science death (which is required to identify the cause of death and investigation).

• The Journal of Korean Institute of Communications and Information Sciences
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• 제38B권11호
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• pp.870-878
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• 2013

The objective of this paper is to develop mobile-based PACS(Picture Archiving Communication System: mPACS) for diagnostic medical image service available via Android-based mobile smartphone. The proposed mPACS provides an integrated platform for mobile application of diagnostic medical images stored in hospital PACS, and allows the smartphone to store, retrieve, manipulate and transfer the diagnostic medical images. Then, the mPACS platform includes the following features for use in the Android framework (i. e., diagnostic medical image processing) : transfer protocols between PACS, mPACS and smartphone, image format converter, JPEG and JPEG2000 coders, text and avatar search, and etc. This mPACS is shown to be useful and effective in providing a solution for mobile-based diagnostic medical image service.

• The Transactions of the Korean Institute of Power Electronics
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• 제16권2호
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• pp.191-198
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• 2011

In this paper, the fault diagnosis scheme for PMSM drives has been proposed to maintain control performance under a switch open-phase fault of inverter. When the open-phase fault occurs, the stator resistances of PMSM are estimated by Extended Kalman Filter (EKF) in real time and can appear differently according to the location of fault occurrence to check the fault detection and identification. The control algorithm is configured without the additional device and low cost by adding the existing control program. Also, by using motor parameter the estimated stator resistance value improves the control performance of the controller affected by parameter variation. The feasibility of the proposed fault diagnosis algorithm is validated in simulation and experiment.

• Proceedings of the KIEE Conference
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• 대한전기학회 2009년도 제40회 하계학술대회
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• pp.740_741
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• 2009

발전소에 설치된 대용량 변압기의 고장사례에 절연유 온도에 따른 가스발생 형태, 가연성가스 성분비를 이용한 Rogers Ratio 법, 발생가스별 고장형태 및 원인분석 방법을 적용하여 고장원인을 진단하고 실제 확인된 고장원인을 고찰하였다. 사례 1은 저압측 탭권선이 과열로 손상된 사례로 온도에 따른 가스발생 형태 및 발생 가스별 고장 형태를 이용한 진단결과는 $300^{\circ}C$이상에서 과열이 된 것으로 진단되어 거의 일치하나 Rogers Ratio 법을 적용하면 $150^{\circ}C$ 정도에서 저온과열된 것으로 진단되어 약간의 차이를 보였다. 사례 2는 변압기 철심의 Burr 발생, 철심간 단락으로 인한 과열 및 아크가 발생된 고장으로 가스발생 패턴이 절연유 온도에 따른 가스발생 형태 및 사례 1과는 차이가 있고 특히, 내부 아크에 의해 발생되는 아세틸렌($C_2H_2$)은 계속 증가하는 반면 "Hot Metal Gas"중의 하나인 에탄($C_2H_6$)은 미량으로 특이한 가스발생형태를 보였다. Rogers Ratio 법과 발생가스별 고장 형태 및 원인분석법에 의한 진단결과는 일치하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 한국정보통신학회 2012년도 추계학술대회
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• pp.369-373
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• 2012

최근 강화된 국내외의 배출가스 규제 조건을 충족시키기 위해, 사용자의 요구대로 연료의 분사시기와 분사량을 조절할 수 있는 CRDI ECU 제어 알고리즘의 개발이 필요하다. 따라서 본 논문에서는 산업용 CRDI 엔진 전용 ECU에 적용할 수 있는 노킹 판별 및 엔진 밸런스 보정이 가능한 노킹 분석 시뮬레이터를 개발하였다. 개발한 노킹 분석 시뮬레이터의 결과를 OBD-II 표준을 사용하여 차량 위주의 진단기를 개발하여 운전자가 직접 차량을 진단할 수 있는 운전자 중심의 진단 서비스를 제공하고자 한다. 이를 위해 자동차 고장진단 신호 및 센서 출력 신호를 유선시스템과 무선 시스템인 블루투스 모듈을 이용하여 실시간 통신이 제공 될 수 있는 OBD-II 진단기 S/W 설계 방안을 제안함으로써 차량의 연비를 향상시키고, 유해 배출가스의 발생을 최소화하여 엔진 효율성의 개선 방안을 제시하고자 한다.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 한국전기전자재료학회 2003년도 하계학술대회 논문집 Vol.4 No.2
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• pp.1131-1134
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• 2003

이 논문은 현재 국내에서 사용하고 있는 배전용 케이블 열화진단장치인 완화전류 측정장치의 진단기준 개선을 위한 것이다. 현재까지 사용되던 직류 고전압을 이용한 누설전류 측정법을 대체하기 위해 사용되는 완화전류 측정장치는 국내 배전선로에서 수년간 현장적용을 실시하여 많은 케이블을 교체하였다. 하지만 완화전류 측정을 통해 교체한 케이블의 상태에 대해서는 검증되지 않은 상태이므로 완화전류 측정을 통한 교체기준이 국내 케이블에 적절한지 확인할 필요가 있다. 이는 케이블 유지보수에 있어서 중요한 사항으로서 교체기준이 부적절할 경우 열화진단을 통한 고장방지 목적을 달성할 수 없거나 건전한 케이블을 교체하여 불필요한 예산을 낭비하는 원인이 된다. 본 논문에서는 현장운전중인 선로를 선택하고 열화된 케이블의 절연성능 향상을 위해 실리콘을 주입하였다. 그리고 실리콘 처리후 케이블의 운전시간에 따른 열화진단 결과와 케이블 절연파괴강도를 비교하여 진단장치의 신뢰성을 검증하고자 하였다. 이것은 1년 동안의 현장시험 결과를 정리한 것이다.

• Journal of Digital Convergence
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• 제16권7호
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• pp.223-229
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• 2018

Recently, the necessity of safety diagnosis of electrical devices has been increasing as the fire caused by electric devices has increased rapidly. This study is concerned with the safety diagnosis of electric equipment using intelligent Fuzzy technology. It is used as a diagnostic input for the multiple electrical safety factors such as the use current, cumulative use time, deterioration and arc characteristics inherent to the equipment. In order to extract these information in real time, a device composed of various sensor circuits, DSP signal processing, and communication circuit is implemented. The fuzzy logic algorithm using the Gaussian function for each information is designed and compiled to be implemented on a small DSP board. The fuzzy logic receives the four diagnostic information, deduces it by the fuzzy engine, and outputs the overall safety status of the device as a 100-step analog fuzzy value familiar to human sensibility. By experiments of a device that combines hardware and fuzzy algorithm implemented in this study, it is verified that it can be implemented in a small DSP board with human-friendly fuzzy value, diagnosing real-time safety conditions during operation of electric equipment. In the future, we expect to be able to study more intelligent diagnostic systems based on artificial intelligent with AI dedicated Micom.

• Journal of the Korean Society of Radiology
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• 제82권1호
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• pp.116-127
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• 2021

Purpose To evaluate the feasibility of texture analysis of gray-scale ultrasound (US) images for staging of hepatic fibrosis. Materials and Methods Altogether, 167 patients who had undergone routine US and laboratory tests for a fibrosis-4 (FIB-4) index were included. Texture parameters were measured using a dedicated in-house software. Regions of interest were placed in five different segments (3, 5, 6, 7, 8) for each patient. The FIB-4 index was used as the reference standard for hepatic fibrosis grade. Comparisons of the texture parameters between different fibrosis groups were performed with the Student's t-test or Mann-Whitney U-test. Diagnostic performance was evaluated by receiver operating curve analysis. Results The study population comprised of patients with no fibrosis (FIB-4 < 1.45, n = 50), mild fibrosis (1.45 ≤ FIB-4 ≤ 2.35, n = 37), moderate fibrosis (2.35 < FIB-4 ≤ 3.25, n = 27), and severe fibrosis (FIB-4 > 3.25, n = 53). Skewness in hepatic segment 5 showed a difference between patients with no fibrosis and mild fibrosis (0.2392 ± 0.3361, 0.4134 ± 0.3004, respectively, p = 0.0109). The area under the curve of skewness for discriminating patients with no fibrosis from those with mild fibrosis was 0.660 (95% confidence interval, 0.551-0.758), with an estimated accuracy, sensitivity, specificity of 64%, 87%, 48%, respectively. Conclusion A significant difference was observed regarding skewness in segment 5 between patients with no fibrosis and patients with mild fibrosis.

• Transactions of the Korean Society of Mechanical Engineers B
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• 제34권4호
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• pp.333-339
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• 2010

Identification of a steady state is the first step in developing a fault detection and diagnosis (FDD) system of a heat pump. In a complete FDD system, the steady-state detector will be included as a module in a self-learning algorithm, which enables the working system's reference model to "tune" itself to its particular installation. In this study, a steady-state detector of a residential air conditioner based on moving windows was designed. Seven representative measurements were selected as key features for steady-state detection. The optimized moving-window size and the feature thresholds were decided on the basis of a startup-transient test and no-fault steady-state test. Performance of the steady-state detector was verified during an indoor load-change test. In this study, a general methodology for designing a moving-window steady-state detector for applications involving vapor compression has been established.

• Journal of Convergence for Information Technology
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• 제11권11호
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• pp.277-287
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• 2021

The purpose of this study is to establish a model that can quantitatively diagnose personal color. Representative color systems for personal colors have limitations in that it oversimplify personal color diagnosis types or it is difficult to distinguish objective differences between diagnosis types. To develop a brand new color system that enhances this, a PCCS color system capable of logical color was introduced and reclassified based on the four main properties of color. Twenty diagnostic types, which are more diverse than the existing color system were proposed and a quantitative method was used to evaluate the degree of harmony with a subject to find an optimized type of subject. The experimenter's individual competency and subjective intervention were minimized by devising a matrix in which a type suitable for the subject is derived when the coded evaluation result is substituted. Finally a quantitative diagnosis model of personal color consisting of three stages: property diagnosis, coding, and seasonal diagnosis was constructed. It can be seen that this will give diversity, reliability, and accuracy to the existing diagnostic methods.