• 동의생리병리학회지
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• 제33권3호
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• pp.163-168
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• 2019

In order to enhance the 8 principle pattern diagnosis rate comparing with diagnostic method by self-report questionnaire on cold/heat pattern in the clinical practice, a new diagnostic method using form-color-pulse-symptom (FCPS) system is proposed. FCPS system is composed of outputs of cold/heat pattern through the calculation process of contribution degree to the cold, heat pattern and qi, blood, yin, yang deficiency patterns, based on analysis of 16 mechanisms of disease calculated by diagnostic system of oriental medicine (DSOM) first. And second component is an output of differentiated 8 principle patterns in detail through binding and calculating process with digital informations of pulse, color, form, constitution obtained by computerized measurement system. Putting together above two processes consecutively, cold-heat complex or true/false cold/heat patterns and personalized characters of cold/heat patterns of each patient can be subdivided through a computation method of determining each pattern. In conclusion, 8 principle pattern identification can be performed more accurately using FCPS system than existent self report questionnaire method. These hypothetic proposal is needed to be proven by clinical trial for the future and then the accurate numbers used in each calculational function should be revised properly.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.186-188
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• 2021

본 아키텍처(IDPS)는 현 해군 수상함 전투체계의 함정별 소프트웨어 진단 도구를 통합하여 진단 방식의 일관성과 효율성, 진단 소요 시간의 감소를 달성하기 위한 웹기반의 플랫폼을 구축하는 구조적 방법이다. 함형 별 구분된 독립적인 진단 방식으로 인하여 수명주기지원(LTS) 시 인력 운용 측면의 비효율성과 진단자의 숙련도 등에 따른 진단 품질의 차이가 발생하기 때문에, 함정 SW 상태를 진단하는 방식을 함형에 구분없이 일원화하고 진단자에 따른 진단 결과의 편향과 오차가 발생하지 않도록 진단데이터를 플랫폼에 내재된 상태결정알고리즘(SDA)에 의해 판정하도록 지능화하였다. 장기적으로 수상함 전투체계 소프트웨어의 진단에 있어 진단 품질의 하락없는 사람 개입이 최소화된 지능화된 시스템 구축을 추구하며, 이를 통해 진단 소요 시간을 단축하고 진단 결과의 활용에 더 많은 자원을 투입할 수 있을 것으로 기대된다.

• 한국생산제조학회지
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• 제9권4호
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• pp.108-116
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• 2000

Undesired trouble such as chatter vibration and burning on the ground surface appears frequently in the cylindrical plunge grinding process. Establishment of a credible fault diagnostic system for the grinding process is the major purpose of this study. Power signals generated during the grinding operation were sampled and analyzed to determine the relationship between grinding troubles and behavior of signal changes. In addition, a neural network was optimized with a momentum coefficient a learning rate, and a structure of the hidden layer through the iterative learning process. Based on the established system, success rates of the trouble recognition were verified.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1137-1140
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• 2005

Automatic welding has been used frequently on pipeline projects. The productivity and reliability are most essential features of the automatic welding system. The mechanized GMAW process is the most widely used welding process and the carriage and band system is most effective welding system for pipeline laying. This application-oriented paper introduces new automatic welding equipment for pipeline construction. It is based on cutting-edge design and practical welding physics to minimize downtime. This paper also describes the control system which was designed and implemented for new automatic welding equipment. The system has the self diagnostic function which facilitates maintenance and repairs, and also has the network function via which the welding task data can be transmitted and the welding process data can be monitored. The laser vision sensor was designed for narrow welding groove in order to implement higher accuracy of seam tracking and fully automatic operation.

• 농촌계획
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• 제16권3호
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• pp.27-41
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• 2010

This study developed a settlement environment diagnostic indices (SEDI) of rural villages which can apply to analyze variable conditions of villages having development projects. The index consists of 5 diagnostic areas (first level) with 13 items (second level), including detail indices of 40 criteria (third level) defined by specialists' brainstorming process. In order to develop the index system, object-oriented approach was used to extract the 5 diagnostic areas (infra-basic settlement facility, life condition & environmental resources, industry & economic infrastructure, community, and residents) from rural villages. For the 40 criteria, it was introduced a quantification method that all villages have absolute values in national level, not relative value between villages within an unit area. The diagnostic diagram and table were developed to evaluate the villages compositively. The developed SEDI was applied to study areas, 56 villages in 2 subdivision areas of county, located on county of Keumsan. Applicability of the index system, database system should be developed with the surveying method of data in village level.

• 정보처리학회논문지B
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• 제9B권4호
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• pp.407-414
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• 2002

최근 자신의 건강에 관한 관심이 고조됨에 따라 웹 상에서 많은 증상 진단 사이트들이 대두되고 있다. 그러나 기존의 건강정보 사이트들은 사용자에게 매우 제한된 기능만을 제공하고 있다. 본 논문에서는 신경망의 학습 효과를(전문가의 지식이 아니라) 진단 과정에 통합되도록 함으로써 유연한 증상-진단 도구를 제안한다. 즉 사용자(흑은 전문가)가 웹 상에서 단계별로 지정한 증상들을 바탕으로 하여 신경망 모델에 적용함으로써 보다 유연하게 사용자의 질병을 예측할 수 있는 새로운 알고리즘을 개발한다. 제안한 알고리즘은 두 가지 중요한 특징을 가진다 : 1) 일반 사용자들은 조기에 자신의 질병에 대한 진단을 받을 수 있고, 2) 전문가는 예상 질병 목록과 함께 각 질병의 가능성(확률)을 참조함으로써 진단의 정확성을 높일 수 있다는 점이다.

• Nuclear Engineering and Technology
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• 제47권5호
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• pp.624-632
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• 2015

A self-diagnostic monitoring system is a system that has the ability to measure various physical quantities such as temperature, pressure, or acceleration from sensors scattered over a mechanical system such as a power plant, in order to monitor its various states, and to make a decision about its health status. We have developed a self-diagnostic monitoring system for an air-operated valve system to be used in a nuclear power plant. In this study, we have tried to improve the self-diagnostic monitoring system to increase its reliability. We have implemented three different machine learning algorithms, i.e., logistic regression, an artificial neural network, and a support vector machine. After each algorithm performs the decision process independently, the decision-making module collects these individual decisions and makes a final decision using a majority vote scheme. With this, we performed some simulations and presented some of its results. The contribution of this study is that, by employing more robust and stable algorithms, each of the algorithms performs the recognition task more accurately. Moreover, by integrating these results and employing the majority vote scheme, we can make a definite decision, which makes the self-diagnostic monitoring system more reliable.

• 융합보안논문지
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• 제12권3호
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• pp.85-92
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• 2012

기존의 보안 관리 수준을 측정하기 위한 방법들이 다양하지만 IT 자산을 중심으로 한 평가만이 이루어지고 있는 관계로 조직 전반에 걸친 분석이 이루어지지 못했다. 따라서 본 논문에서는 보안 관리 수준 점검을 손쉽게 할 수 있도록 웹 기반 보안 관리 수준 분석 도구에 대해 제시한다. 본 도구의 경우는 전사적 정보 보호 관리 방법론인 ISO 27001의 보안통제 항목들을 기반으로 설문 내용을 구성하였다.

• 제어로봇시스템학회논문지
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• 제6권1호
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• pp.104-111
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• 2000

A fuzzy logic Run-by-Run(RbR) controller and an in -line wafer characteristics prediction scheme for the rapid thermal processing system have been developed for the study of process repeatability. The fuzzy logic RbR controller provides a framework for controlling a process which is subject to disturbances such as shifts and drifts as a normal part of its operation. The fuzzy logic RbR controller combines the advantages of both fuzzy logic and feedback control. It has two components : fuzzy logic diagnostic system and model modification system. At first, a neural network model is constructed with the I/O data collected during the designed experiments. The wafer state after each run is assessed by the fuzzy logic diagnostic system with featuring step. The model modification system updates the existing neural network process model in case of process shift or drift, and then select a new recipe based on the updated model using genetic algorithm. After this procedure, wafer characteristics are predicted from the in-line wafer characteristics prediction model with principal component analysis. The fuzzy logic RbR controller has been applied to the control of Titanium SALICIDE process. After completing all of the above, it follows that: 1) the fuzzy logic RbR controller can compensate the process draft, and 2) the in-line wafer characteristics prediction scheme can reduce the measurement cost and time.

• Journal of Advanced Marine Engineering and Technology
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• 제29권5호
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• pp.502-508
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• 2005

Fouling causes serious maintenance problems on heat exchanger tubes and process facilities. To avoid such fouling problems, numerous efforts have been tried. e.g., diagnosis of fouling, reducing and eliminating the fouling. etc.. The objective of the present study is to develop an innovative diagnostic system of fouling, which can detect the scaling attached to the wall non-homogeneously. The performance of the diagnostic system has been evaluated with a scaling simulator that generates scaling on tested tube wall. The measured values with the diagnostic system were compared with the amounts of the scaling generated by the simulator. In addition to, we showed the data that have been executed in field test for reliability verification.