• 한국통신학회논문지
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• 제38C권4호
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• pp.335-343
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• 2013

SW 개발단계에서 사이버침해사고의 주요 원인인 SW 보안약점을 진단하여 제거하면 사이버침해사고를 효과적으로 예방할 수 있다. 국내의 경우, SW 개발보안 적용이 의무화되어 SW 보안약점을 제거하는 것이 필수사항이 되었다. 효과적으로 SW 보안약점을 진단하여 제거하기 위해서는 신뢰된 SW 보안약점 진단도구의 도움이 필요하다. 따라서, 본 논문은 국내환경에 적합한 진단도구 기능 요구사항과 진단도구의 신뢰성을 보증할 수 있는 평가방법론을 제안한다. 그리고, 제안된 평가체계의 효과를 분석하기 위한 시범 적용한 결과 및 절차를 제시한다.

• 대한치과교정학회지
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• 제22권4호
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• pp.755-778
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• 1992

It is prerequisite of orthodontists to diagnose malocclusion correctly and make treatment plans accurately for treating maloccluded patients efficiently and earning more stable and better results. Recently computers were introduced in orthodontic diagnosis steps, which enabled orthodontists to get more precise diagnosis, to make more accurate treatment planning and to provide better orthodontic cares for more patients. The authors studied on the diagnostic analysis methods which have been used frequently in Korea and made a diagnostic computer program including the horizontal and/or vertical measurement of length, degrees and proportions in lateral cephalometric radiographs, the analysis of the skeletal and soft-tissue features and the evaluation of the treatment results. We also made a scheduling program for arrangement and management of patients. 40 skeletal and 24 soft-tissue landmarks were selected in a lateral cephalometric radiographs. The available analysis methods in this program are Angular analysis, Linear analysis, Ricketts analysis, Profilogram , Steiner analysis, Tweed analysis, MacNamara analysis, Open bite analysis, Kim's diagnosis, Skeleto-dental cephalometric analysis and Height & weight analysis. We suggested that this diagnostic computer program make it possible for orthodontists to get more rapid and accurate diagnostic analysis and treatment planning and for patient to earn better and more efficient orthodontic service.

• 대한의생명과학회지
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• 제18권4호
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• pp.399-405
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• 2012

The brain is the body's most organized and controlled organ, and it governs various psychological and mental functions. A brain abnormality could greatly affect one's physical and mental abilities, and consequently one's social life. Brain disorders can be broadly categorized into three main afflictions: stroke, brain tumor, and dementia. Among these, stroke is a common disease that occurs owing to a disorder in blood flow, and it is accompanied by a sudden loss of consciousness and motor paralysis. The main types of strokes are infarction and hemorrhage. The exact diagnosis and early treatment of an infarction are very important for the patient's prognosis and for the determination of the treatment direction. In this study, texture features were analyzed in order to develop a prototype auto-diagnostic system for infarction using computer auto-diagnostic software. The analysis results indicate that of the six parameters measured, the average brightness, average contrast, flatness, and uniformity show a high cognition rate whereas the degree of skewness and entropy show a low cognition rate. On the basis of these results, it was suggested that a digital CT image obtained using the computer auto-diagnostic software can be used to provide valuable information for general CT image auto-detection and diagnosis for pre-reading. This system is highly advantageous because it can achieve early diagnosis of the disease and it can be used as supplementary data in image reading. Further, it is expected to enable accurate medical image detection and reduced diagnostic time in final-reading.

• 대한의용생체공학회:의공학회지
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• 제13권1호
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• pp.69-78
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• 1992

This Paper describes implementation of a remote ECG diagnostic system using telephone line. The overall system includes ECG data acquisition system, ECG terminal, system control software, automatic diagnosis system, and transmission system.'The proposed system provides various functions, which are ECG data acquisition, transmission, receiving, diagnosis and dialogue between patients and medical doctors. Thls system is very simple and convienient to use. We evaluate the performance of modem and the accuracy of automatic diagnosis algorithm. The obtained results suggest the Possibilities of a remote ECG diagnostic system using the only existed telephone line.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제9권4호
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• pp.301-308
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• 2009

In the modern life, machines are used for various areas in industries as the advance of science and industrial development has proceeded. In many machines, the rotating machines play an important role in many processes. Therefore, the development of fault diagnosis and monitoring system for rotating machines is required. An ubiquitous sensor network (USN) is a combination of the key computer science and engineering area technology including the wireless network, embedded system hardware and software, communication, real-time system, etc. It collects environmental information to realize a variety of functions. In this work, a data reduction algorithm for USN based remote fault diagnostic system which can be easily applied to previously built factories is proposed. To verify the feasibility of the proposed scheme, some simulations and experiments are executed.

• Journal of information and communication convergence engineering
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• 제17권2호
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• pp.128-134
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• 2019

Based on the concept of Industry 4.0, various sensors are attached to facilities and equipment to collect data in real time and diagnose faults using analyzing techniques. Diagnostic technology continuously monitors faults or performance degradation of facilities and equipment in operation and diagnoses abnormal symptoms to ensure safety and availability through maintenance before failure occurs. In this paper, we propose a model to analyze the data and diagnose the state or failure using machine learning. The diagnosis model is based on a support vector machine (SVM)-based diagnosis model and a self-learning one-class SVM-based diagnostic model. In the future, it is expected that this model can be applied to facilities used in the entire industry by applying the actual data to the diagnostic model proposed in this paper, conducting the experiment, and verifying it through the model performance evaluation index.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제6권1호
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• pp.82-92
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• 2000

본 논문에서는 CC-NUMA 시스템을 위한 진단 소프트웨어에 대한 구현 방법 및 결과를 소개하였다. CC-NUMA 구조는 두 대 이상의 SMP 시스템들에 캐쉬 일관성을 유지하기 위한 하드웨어를 장착하고, 이들을 고속 연결망으로 연결함으로써 시스템의 성능 및 확장성을 향상시켜 준다. 그러나, CC-NUMA 시스템은 운용체제 측면에서는 단일 시스템 이미지로서 보여지는 반면, 하드웨어 구조와 밀접한 진단 소프트웨어에서는 이를 별개의 시스템으로 고려해야 한다. 이와 같은 구조 때문에 기존의 상용 관리 소프트웨어로는 CC-NUMA 시스템에 대한 진단 및 관리를 하기 어렵다. 또한, TCO(Total Cost of Ownership) 절감 측면에서 최근 대두되고 있는 원격 진단 및 관리의 필요성이 증가하고 있다. 본 논문에서는 이러한 요구사항에 따라 CC-NUMA 구조에 적합한 진단 소프트웨어 모듈을 설계하였으며, 원격 진단 및 관리가 용이한 클라이언트-서버 구조의 진단 메커니즘을 제시하였다. 또한, 관리자가 어느 시스템에서도 서버에 접근할 수 있는 접근성을 향상시키기 위하여 자바 기반 사용자 인터페이스를 채택하였다.

• 전자공학회논문지SC
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• 제41권2호
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• pp.53-60
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• 2004

본 논문은 국내 한의학의 체질 진단 방법 중의 하나인 맥진에 의한 체질 판별을 한의사의 수지와 지능에 의한 방법 대신에 환자의 팔목에 장착되는 압전 센서 모듈 및 디지털 신호 처리 하드웨어와 통계적 판별 알고리즘을 사용하여 자동으로 환자의 체질을 판별하는 자동 맥진 시스템에 관한 연구이다. 일반적인 한의사의 지식과 경험에 의하여 사상 체질을 판별하는 한의원의 정확도가 50∼66%인 반면 본 자동 진맥 시스템은 정확도가 65∼76%의 우수한 성능을 보여주고 있기 때문에 자동 맥진 시스템은 사상체질 판별을 위한 중요한 보조 의료 기구로 사용될 수 있다. 또한, 본 논문에서 맥파와 체질의 상관도를 분석함으로써 사상 체질의 자동 판별 알고리즘의 우수성을 논하였다.

• 한국철도학회논문집
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• 제3권3호
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• pp.147-153
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• 2000

The train control and monitoring system (TCMS) is an on board computer system in railway vehicles performing the control, supervisory and diagnostic functions of the complete train system. This system replaces a lot of hard-wired relays and minimizes the necessary vehicle wiring thus increasing the reliability of the train. It is also one of more important equipment on vehicle to implement much higher safety and reliability train system. We studied a software design technique of TCMS using a CASE tool that is a kind of safety critical software engineering tool (SCADE). This tool has mainly four functions such as the graphical editor, the document maker, tile automatically code generator, and the test simulator. The several functions of TCMS are implemented in this software easily programmed using a functional block diagram and a graphic programming language. We applied to automatically generated TCMS modules on the SCADE each functional block for the Standard type EMU in Korea. We performed the combination test using TCMS simulator and the running test in Seoul subway 7 Line. We proved that this technique is more useful for the software design of TCMS in urban transit

• Journal of Electrical Engineering and Technology
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• 제10권6호
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• pp.2277-2287
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• 2015

In recent times, multilevel inverters are given high priority in many large industrial drive applications. However, the reliability of multilevel inverters are mainly affected by the failure of power electronic switches. In this paper, open-switch and short-switch failure of multilevel inverters and its identification using a high performance diagnostic system is discussed. Experimental and simulation studies were carried out on five level cascaded H-Bridge multilevel inverter and its output voltage waveforms were analyzed at different switch fault cases and at different modulation index values. Salient frequency domain features of the output voltage signal were extracted using the discrete wavelet transform multi resolution signal decomposition technique. Real time application of the proposed fault diagnostic system was implemented through the LabVIEW software. Artificial neural network was trained offline using the Matlab software and the resultant network parameters were transferred to LabVIEW real time system. In the proposed system, it is possible to precisely identify the individual faulty switch (may be due to open-switch (or) short-switch failure) of multilevel inverters.