• Journal of KIISE:Software and Applications
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• v.32 no.6
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• pp.532-541
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• 2005

We examined the wave pattern of the spleen by using abdominal CT images of a patient with liver cirrhosis, and found that they are different from those of a person with a normal liver. In the abdominal CT image of the patient with liver cirrhosis, there is a deep wave part on the left side of the spleen. In the case of the normal liver, there are waves on the left side, but they aren't deep. Therefore, the total area of waving parts of the spleen with liver cirrhosis is found to be greater than that of the spleen with the normal liver. Moreover, when examining circularity by abstracting the waves of the spleen from the image with liver cirrhosis, we found they are more circular than those of the spleen accompanied by a normal liver. This paper suggests an automatic method to diagnose liver cirrhosis by using the wave pattern of the spleen in abdominal CT images on the basis of the two principles. It tells us that we can judge if the liver has liver cirrhosis automatically, without the manual test of the ratio of caudate lobe to right lobe, only with the spleen.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2006.06a
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• pp.183-192
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• 2006

간세포암은 우리나라에서 전체 암사망자 중 17.2%로 3번째의 흔한 사망원인이며, 간암에 의한 사망률은 인구 10만 명당 약 21명에 이른다. 본 논문에서는 간 내부에서 발생하는 간세포암을 CT 영상에서 자동으로 추출하는 방법을 제안하여 간세포암의 보조진단으로서의 유용성에 대해 알아보고자 한다. 간 내부의 종양을 추출하기 위해 흉부의 윗부분에서 시작하여 2.5mm의 간격으로 약 45-50장 정도를 촬영한 CT 영상들을 대상으로 먼저 간 영역을 추출한다. 간 영역 추출은 먼저 관심이 없는 외부 영역을 갈비뼈를 중심으로 제거한 후 영상의 밝기 정보를 이용하여 각 기관의 영역을 분할 한다. 분할된 영역들은 위 아래로 인접한 영상에서의 분할 영역들과 밝기 값을 비교하여 적절하게 병합하는 3차원적 접근방법을 사용한다. 간 영역은 여러개의 영역들 중에서 간 영역의 구조 및 위치 등의 정보를 활용하여 추출한다. 추출된 간 영역에서 종양 판별과 추출을 위해 종양이 가지는 특징을 분석하여 종양을 추출한다. 전형적인 간세포암은 과혈관성 종양이므로 조영증강 CT 영상에서 주위보다 밝은 색으로 나타나며, 팽창 형성장을 보일 경우에는 구형으로 나타나는 특징이 있다. 이에, 주위 보다 밝은 색을 가지고 둥근형태를 가지는 영역을 종양의 후보영역으로 선정한 후, 그 영상의 위와 아래로 연결되는 영상에서도 같은 위치에서 같은 특징을 보이는 영역이 있으면 간 내부의 종양으로 판별하여 추출한다. 제안된 간 영역 및 간 종양 추출 방법의 정확성을 판별하기 위하여 CT 영상을 대상으로 실험하여 영상의학 전문의가 판단한 결과와 비교하였다. 간 영역 추출은 정확히 모두 추출되었으며, 간 종양 추출 및 판별은 전문의의 보조 진단도구로 활용할 수 있는 가능성이 매우 높다는 것을 확인할 수 있었다.emantic Similarity Measure 등을 단계적으로 수행하여 자동화되고 정확한 규칙식별을 하고자 한다. 이러한 방법들의 조합으로 인하여 규칙구성요소 추출이 되지 않을 후보 단어들의 수를 줄여서 보다 더 정확하고, 지능적인 규칙구성요소 추출 방법론을 제시하고 구현하여 지식관리자의 규칙습득에 대한 부담을 줄여 주고자 한다. 도움을 받을 수 있게 되었다.을 거치도록 되어있다. 교통주제도는 국가의 교통정책결정과 관련분야의 기초자료로서 다양하게 활용되고 있으며, 특히 ITS 노드/링크 기본지도로 활용되는 등 교통 분야의 중요한 지리정보로서 구축되고 있다..20{\pm}0.37L$, 72시간에 $1.33{\pm}0.33L$로 유의한 차이를 보였으므로(F=6.153, P=0.004), 술 후 폐환기능 회복에 효과가 있다. 4) 실험군과 대조군의 수술 후 노력성 폐활량은 수술 후 72시간에서 실험군이 $1.90{\pm}0.61L$, 대조군이 $1.51{\pm}0.38L$로 유의한 차이를 보였다(t=2.620, P=0.013). 5) 실험군과 대조군의 수술 후 일초 노력성 호기량은 수술 후 24시간에서 $1.33{\pm}0.56L,\;1.00{\ge}0.28L$로 유의한 차이를 보였고(t=2.530, P=0.017), 술 후 72시간에서 $1.72{\pm}0.65L,\;1.33{\pm}0.3L$로 유의한 차이를 보였다(t=2.540, P=0.016). 6) 대상자의 술 후 폐환기능에 영향을 미치는 요인은 성별로 나타났다. 이에 따른 폐환기능의 차이를 보면, 실험군의 술 후 노력성 폐활량이 48시간에 남자($1.78{\pm}0.61L$)가 여자(

• Journal of the Korean Society of Radiology
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• v.16 no.7
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• pp.943-952
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• 2022

As a test for diagnosing fatty liver, recently, ultrasound and blood exam are being performed simultaneously. In particular, in the case of high-sensitivity C-reactive protein in blood exam, it is used as an index indicating the level of inflammation in various parts of the body as well as cardiovascular diseases. Thus, this study was conducted to analyze the association between metabolic syndrome components, liver function, and high-sensitivity C-reactive protein levels according to the degree of nonalcoholic fatty liver, and use it as a clinical indicator for fatty liver diagnosis. Metabolic syndrome components, liver function and high-sensitivity C-reactive protein blood test values analyzed from 1,139 men and women over 20 years of age with nonalcoholic fatty liver in abdominal ultrasonography from March 2021 to August 2021 at the Korea Association of Health Promotion, Gwangju-Jeonnam Branch. Analyzed for all men and women, the blood test values for subjects with mild fatty liver were AST 30 U/L, ALT 32.1 U/L, γ-GTP 41.2 IU/L, and hs-CRP 0.14 mg/dL. These values were lower than the blood test values of subjects with moderate fatty liver (AST 38 U/L, ALT 47.6 U/L, γ-GTP 54.9 IU/L, hs-CRP 0.22 mg/dL) and was statistically significant (p<0.001). In this case of high-sensitivity C-reactive protein test, it is statistically significant, showing higher values in Subjects with moderate fatty liver than Subjects with mild fatty liver. thus, it is considered that hs-CRP can be used as clinical data for the prevention and management of fatty liver.

• Journal of Intelligence and Information Systems
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• v.11 no.1
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• pp.65-93
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• 2005

Expert system implementation of human expert's diagnosis in art psychotherapy requires extensive knowledge on: (1) characteristics in a drawing; (2) psychological symptoms in a client; (3) relationships between the characteristics and the symptoms; (4) decision process; (5) knowledge elicitation and aquisition methods. Experts from many different fields provide such knowledge, ranging from art therapists who is on the spot, psychiatrists, psychologists, artists to knowledge engineers who know how to implement the decision system to a computer. The problems that make the implementation difficult are the expert's complex decision process and the ambiguity, the inconsistency and even the contradiction in the huge volume of the knowledge. Modeling the expert's decision process, we develope a framework of the system and then analyze and classify the knowledge. With the proposed classification, we present a suitable method of knowledge elicitation and aquisition. Then, we describe the subsets of knowledge in a unified structure using the ontology concept and Protege 2000 as a tool. Finally, we apply the system to a real case to show its usability and suitability.

• Communications for Statistical Applications and Methods
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• v.18 no.1
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• pp.57-69
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• 2011

Researchers are continuously trying to find innovative diagnostic tests and published articles are accumulating at an enormous rate in many medical fields. Meta-analysis enables previously published study results to be reviewed and summarized; therefore, an objective assessment of diagnostic tests can be done with a meta-analysis of sensitivities and specificities. Data obtained by applying two diagnostic tests to a well-defined group of diseased patients produce a pair of sensitivity and by applying the same medical tests to a group of non-diseased subjects produce a pair of specificity. The statistical tests in the meta-analysis need to consider the correlatedness of the results from two diagnostic tests applied to the same diseased and non-diseased subjects. The associations between two diagnostic test results are often found to be unequal for the diseased and non-diseased subjects. In this paper, multivariate meta-analytic methods are studied by taking into account the different associations between correlated variables. On the basis of Monte Carlo simulations, we evaluate the performance of the multivariate meta-analysis methods proposed in this paper.

• Journal of the Institute of Electronics Engineers of Korea TE
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• v.37 no.2
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• pp.41-53
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• 2000

In this paper, the Maekjin and the Yangdorak Diagnosis algorithm by using a neuro-fuzzy method is proposed and it is implemented on the DSP-based system. Maekjin is measured by 3-channels of the Maekjin board through Maekjin probe which is attached on Chon, Kwan and Chuk of patient's wrist. First, we experiment Chon, Kwan and Chuk, 3-parts simultaneously and second perform one part of Chon, Kwan and Chuk respectively, The experimental results show that the Maekjin signal is measured precisely with any Maekjin probe. In Yangdorak diagnosis, the pulse generated by electric stimulator stimulates a portion of body and the response signal is measured through electrodes which is attached on representative points of 12 kyungmaks. The experimental methods are (1) 1 channel-measure, (2) 2 channels-measure, (3) 6 channels-measure and (4) 24 channels-measure. A fuzzy diagnosis is performed and neural networks is learned using fuzzy values as inputs, and we show that neuro-fuzzy diagnosis method is performed well.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.41 no.10
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• pp.931-940
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• 2017

This paper describes a predictive fault diagnosis algorithm for autonomous vehicles based on a kinematic model that uses a sliding mode observer. To ensure the safety of autonomous vehicles, reliable information about the environment and vehicle dynamic states is required. A predictive algorithm that can interactively diagnose longitudinal environment and vehicle acceleration information is proposed in this paper to evaluate the reliability of sensors. To design the diagnosis algorithm, a longitudinal kinematic model is used based on a sliding mode observer. The reliability of the fault diagnosis algorithm can be ensured because the sliding mode observer utilized can reconstruct the relative acceleration despite faulty signals in the longitudinal environment information. Actual data based performance evaluations are conducted with various fault conditions for a reasonable performance evaluation of the predictive fault diagnosis algorithm presented in this paper. The evaluation results show that the proposed diagnosis algorithm can reasonably diagnose the faults in the longitudinal environment and acceleration information for all fault conditions.

• Journal of Advanced Marine Engineering and Technology
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• v.38 no.6
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• pp.744-750
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• 2014

The monitoring and abnormality warning of marine diesel engine are important to take appropriate responses for safety navigation. If maintenance engineers do not take appropriate response because of diagnosis mistakes, it will occur a nasty accident. Therefore, we need integrated monitoring and diagnosis system for supporting a diagnosis objectively. In this paper, we analyze time-series data which measured by real-time, monitor the changing of conditions and trends of the analyzed data. Furthermore, we design and implement a monitoring and diagnosis system for objective supporting of real-time diagnosis. When the integrated monitoring and diagnosis system is adopted, it can help to improve stability of marine diesel engine by providing abnormality warning alarm with appropriate responses.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.37 no.12
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• pp.1238-1244
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• 2009

This work proposes a GUI-type on-line diagnostic program using SIMULINK and Fuzzy-Neuro algorithms for a helicopter turboshaft engine. During development of the diagnostic program, a look-up table type base performance module for reducing computer calculating time and a signal generation module for simulating real time performance data are used. This program is composed of the on-line condition monitoring program to monitor on-line measuring performance condition, the fuzzy inference system to isolate the faults from measuring data and the neural network to quantify the isolated faults. The reliability and capability of the proposed on-line diagnostic program were confirmed through application to the helicopter engine health monitoring.

• Research in Plant Disease
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• v.13 no.2
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• pp.82-87
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• 2007

The genetic diagnostic method of virion capture (VC)/RT-PCR was developed for the simultaneous detection of three rod shaped viruses of Cucumber green mottle mosaic virus (CGMMV), Kyuri green mottle mosaic virus(KGMMV) and Zucchini green mottle mosaic virus (ZGMMV) transmitted by seed in Cucurbit. Out of 12 primer combinations for the three tobamoviruses, a primer set of CGMMV-C724, KGMMV-K513 and ZGMMV-Z407A was useful for mono and triplex VC/RT-PCR. The triplex VC/RT-PCR for the three tobamovirus in Cucurbit could detect specifically without interference among primers and/or plant species of watermelon, gourd, cucumber, melon, pumpkin, squash and Nicotiana benthamiana.