• Journal of Drive and Control
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• v.16 no.3
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• pp.94-102
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• 2019

• Journal of radiological science and technology
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• v.32 no.1
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• pp.45-52
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• 2009

Digital Mammography is an efficient imaging technique for the detection and diagnosis of breast pathological disorders. Six mammographic criteria such as number of cluster, number, size, extent and morphologic shape of microcalcification, and presence of mass, were reviewed and correlation with pathologic diagnosis were evaluated. It is very important to find breast cancer early when treatment can reduce deaths from breast cancer and breast incision. In screening breast cancer, mammography is typically used to view the internal organization. Clusterig microcalcifications on mammography represent an important feature of breast mass, especially that of intraductal carcinoma. Because microcalcification has high correlation with breast cancer, a cluster of a microcalcification can be very helpful for the clinical doctor to predict breast cancer. For this study, three steps of quantitative evaluation are proposed : DoG filter, adaptive thresholding, Expectation maximization. Through the proposed algorithm, each cluster in the distribution of microcalcification was able to measure the number calcification and length of cluster also can be used to automatically diagnose breast cancer as indicators of the primary diagnosis.

• Journal of Internet Computing and Services
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• v.11 no.3
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• pp.65-74
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• 2010

In the ubiquitous healthcare, automated diagnosis is commonly achieved by an agent system to provide intelligent decision support and fast diagnosis result. Mobile agent technology is used for efficient load distribution by migrating processes to a less loaded node which is considered in our design of a ubiquitous healthcare system. This paper presents a framework for ubiquitous healthcare technologies which mainly focuses on mobile agents that serve the on-demand processes of an automated diagnosis support system. Considering the efficient utilization of resources, a balanced clustering for the load distribution of processes within nodes is proposed. The proposed algorithm selects overloaded nodes to migrate processes to near nodes until the load variance of the system is minimized. Our proposed balanced clustering efficiently distributes processes to all nodes considering message overheads by performing the migration to the near nodes.

• Journal of the Korean Society for Nondestructive Testing
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• v.29 no.2
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• pp.145-152
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• 2009

Currently almost all in-service-inspection techniques, applied in domestic nuclear power plants, are partial to field inspection technique. These kinds of techniques are related to managing nuclear power plants by the operation of foreign-produced inspection devices. There have been so many needsfor development of native in-service-inspection device because there is no native diagnosis device for nuclear power plant inspection yet in Korea. In this research, we developed several core techniques to make an automated ultrasonic pipe inspection system for nuclear power plants. A high performance multi-channel ultrasonic pulser/receiver module, an A/D converter module and a digital main CPU module were developed and the performance of the developed modules was verified. The S/N ratio, noise level and signal acquisition performance of the developed modules showed proper level as we designed in the beginning.

• The Journal of the Acoustical Society of Korea
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• v.28 no.8
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• pp.732-739
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• 2009

Flow phantom with stenosis was manufactured using an auto-injector to obtain angiostenotic flow information and quality assurance (QA) for ultrasound diagnostic instrumentation. Effectiveness of manufactured flow phantom with stenosis was investigated with power Doppler that was known to have diagnostic efficiency for angiostenosis. The flow phantom with stenosis was manufactured to 70% stenosis with 8 mm and 2.4 mm silicon tube, and silicone tube was covered with gelatin that has acoustic characteristics similar to soft tissue. When the linear transducer was used for measurement, the estimated diameter of normal vessel was measured lower than that of normal value, and the estimated diameter of stenosed vessel was measured higher than that of normal value. The measured parameters were not affected except for the radical conditions such as gain of 60%, PRF of 3000 Hz, use of maximal filter or angle. In addition, when the convex transducer was used for measurement, measurement parameters were affected by gain, PRF, filter, and angle. Therefore it is expected that flow phantom with stenosis manufactured with an auto-injector will be utilized effectively for QA of angiostenotic diagnosis.

• Journal of the Korean Society for Nondestructive Testing
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• v.17 no.2
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• pp.114-121
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• 1997

가압경수로 원자로 압력용기 비파괴검사를 위해 지금까지 계속 사용하여 온 기존의 고정식 매니플레이터 방식의 원자로 자동초음파검사장비는 최근 급속도로 발전한 전자산업 및 컴퓨터 등으로 인해 기본 설계 개념부터 달리하는 소형.경량화된 수중 이동형 원자로 검사 장비 형태로 바뀌어 가고 있다. 따라서, 본 해설에서는 현재까지 국내외 알려진 각종 소형 원자로 압력용기 자동초음파검사장비 및 고정식 매니플레이터 방식의 원자로 압력용기 자동초음파검사장비를 분석하여 기술하였으며, 현재 국내 원자로 압력용기 용접부검사를 위해 개발중인 RYSIS 장비 및 검사 기술 수준을 진단해보고 앞으로의 방향을 제시하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.11
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• pp.2425-2431
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• 1997

The increased usage of Magnetic Resonance Image (MRI) required the method for automatic segmentation of medical image that is more useful so as to diagnose the dissecitive information of a atient quickly and effectively through MR scans.The use of neural networks may give much hep to solving the complex problems concerned the matter. This paper proposes the new method for automatic segmentation of magnetic resonance (MR) images of the brain by using neural networks brained by back-propagation algorithm. The trained neural networks by the segmenting MR images of a patient produce an output that networks can segment MR images of the other patients automatically, too and show a clear image of the brain.

• Journal of Biomedical Engineering Research
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• v.20 no.6
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• pp.561-571
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• 1999

심실세동은 환자의 생명을 위협하는 가장 치명적인 부정맥으로서, 심실세동의 발견즉시 특별한 조치를 취하지 못할 경우 환자는 급사한다. 심실세동을 정지시키는 유일한 방법은 전기적 제세동이며 이는 환자의 심장 부위에 전기적 에너지를 가해 정상 심장 리듬을 되찾도록 하는 방법이다. 심실세동의 발생은 예측할 수 없고, 이를 진단하기 위한 심전도 교육을 모든 의료인에게 할 수 없으므로 심전도를 자동 분석하여 심실세동을 조기에 검출하는 자동 분석장치의 개발은 심실세동에 의한 급사를 줄이는데 매우 중요하다. 본 연구에서는 교차간섭성분의 제거 능력이 뛰어나며 쉽게 구사할 수 있는 Choi-Williams distriguteion (CWD) 방법을 이용하여 급사를 초래할 수 있는 심실세동을 자동 검출하는 알고리즘을 개발하였다. 그리고 개발된 알고리즘의 성능을 검증하기 위하여 본 논문에서는 두 그룹의 심실세동 데이터를 사용하였다. 검출 알고리즘은 심실세동의 시간 및 주파수 특성을 일곱가지 조건들에 대한 만족 여부를 이용하여 심실세동을 판정하였고, 실험의 민감도와 선택도는 각각 92.1%, 97 .2% 이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.04a
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• pp.902-906
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• 2000

망막 혈관 구조의 분석은 망막에 관련된 환자의 진단 및 치료에 중요한 정보를 제공하기 때문에 다양한 연구가 진행되어 왔다. 본 연구에서는 ICG(IndoCyanine Green) 기술을 이용한 망막 영상의 혈관 구조를 분석하기 위해 원의 방정식으로 묘사된 혈관 영역 에너지 함수와 분기점 추정 템플릿을 사용하여 혈관의 특징점들을 추정한 후 혈관의 형체(body)를 자동으로 추적하는 동시에 분기점을 추출하는 방법을 제안한다. 전체 혈관의 자동추적과 분기점 추출을 가능하게 하는 특징점 추정 방법과 혈관 형체의 자동추적 알고리즘 및 분기점 추출 방법을 ICG 망막 영상에 적용하여 실험한 결과 만족할 만한 성능을 보였다.

• Proceedings of the IEEK Conference
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• 2000.09a
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• pp.935-938
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• 2000

본 논문에서는 음성 인식을 이용하여 전화를 교환해주는 자동 교환 시스템을 구현하고, 성능을 평가하였다. 구현된 시스템에는 필수적인 음성인식 이외에도 DSP 진단 기능, 인식 대상 어휘의 추가 및 변경기능, 음성 수집 기능 등이 구현 되었다. SCHMM (Semi-Continuous Hidden Markov Model)을 이용한 전화망에서의 화자 독립 고립 단어 가변 어휘 인식을 대상으로 하였으며, 실시간 구현을 위하여 Texas Instrument 사의 TMS320C32를 사용하였다〔6〕. 인식 어휘는 부서명 및 인명이고 1300여 단어일 때, 인식 성능은 91.5%이다.