• 대한의용생체공학회:의공학회지
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• 제24권4호
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• pp.247-257
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• 2003

This paper proposes a three-dimensional (3D) segmentation algorithm for extracting a diagnostic object from ultrasound images by using a LoG operator In the proposed algorithm, 2D cutting planes are first obtained by the equiangular revolution of a cross sectional Plane on a reference axis for a 3D volume data. In each 2D ultrasound image. a region of interest (ROI) box that is included tightly in a diagnostic object of interest is set. Inside the ROI box, a LoG operator, where the value of $\sigma$ is adaptively selected by the distance between reference points and the variance of the 2D image, extracts edges in the 2D image. In Post processing. regions of the edge image are found out by region filling, small regions in the region filled image are removed. and the contour image of the object is obtained by morphological opening finally. a 3D volume of the diagnostic object is rendered from the set of contour images obtained by post-processing. Experimental results for a tumor and gall bladder volume data show that the proposed method yields on average two times reduction in error rate over Krivanek's method when the results obtained manually are used as a reference data.

• 대한의용생체공학회:의공학회지
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• 제40권3호
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• pp.97-104
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• 2019

To examine different types of influenza diagnostic test kits automatically, automated rapid influenza diagnostic test method based on image recognition is proposed in this paper. First, the proposed methods classify a variety of the rapid influenza diagnostic test kit based on support vector machine that analyzes the kits' feature point. Then, to improve the accuracy of test, the proposed methods match the histogram of both the target image of influenza kit and the input image of influenza kit for minimizing the effect of environment factors, such as lighting and exposure variations. And, to minimize the effect from composition of the hand-helds devices, the proposed methods extract the feature point and match point-by-point between target image of influenza kit and input image of influenza kit. Experimental results of 124 experimental group show that the proposed methods significantly have effectiveness, which shows 90% accuracy in moderate antigen, for the preliminary examination of influenza, and provides the opportunity for taking action against influenza.

• 농촌계획
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• 제27권2호
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• pp.91-104
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• 2021

The purpose of this study is to develop the diagnostic indices system that can be applied to the evaluation of rural village level, because the indicators developed in many existing studies were mostly consisted of statistical data in higher level than rural villages as well as those were difficult to apply to rural village level empirically. In order to develop the empirical diagnostic indices system, which has 52 indices with 7 categories, this study not only classified the kind of rural village facility and the regional development project of government, but also surveyed the specialist opinion with Delphi method. Especially, this study standardized the all diagnostic indices with positive value to remove the indices with negative values. Finally, the results that the study applied the empirical diagnostic indices to the 15 sample villages of Jinan-gun and Cheongyang-gun showed that there was the applicability of the indices system in the village level.

• 대한한의학원전학회지
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• 제29권3호
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• pp.113-132
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• 2016

Objectives : In this study, the Abdominal Diagnostic Method of Kitao Shunpo(北尾春圃) about Movement Qi between kidneys in Sanghauidam(桑韓醫談) and Jeonggisinron(精氣神論) are investigated for the purpose of understanding the definite technique of the method and the position in the context of abdominal diagnosis in Japan. Methods : The materials related to the abdominal diagnosis to Movement Qi between kidneys were selected from Sanghauidam and Jeonggisinron written by Kitao Shunpo, and analyzed to know the characteristics of the method. Results : Kitao Shunpo suggested the theoretical background of the Abdominal Diagnostic Method that Original Qi(元氣) is made from Original Essence(元精) when a person is born, and mentality(神) and body essence(精), qi(氣) and blood(血) are formed from those. Movement Qi between kidneys(腎間動氣), that is to say innate Original Qi can be diagnosed in abdominal region by the method in Japanese Medicine. Kitao Shunpo decided deficiency and excess of Original Qi and prognosis in clinical treatment by the method, and suggested the standard pulse condition of the Movement Qi between kidneys. Conclusions : After the theory about Movement Qi between kidneys appeared in Nanjing(難經), many doctors have not made attention to diagnose that for a long time, until Kitao Shunpo with other Japanese doctors established the theoretical background of the Abdominal Diagnostic Method, and applied the theory to clinical treatment.

• Journal of Acupuncture Research
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• 제18권4호
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• pp.161-177
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• 2001

Objective : We have studied the part, definition, diagnostic generaliztion and pathological viewpoint of Qi mouth and Renying by refering literatures Methods : I refered to records from anciant to modern. The results are followings : 1. Qi mouth and Renying is ancient diagnostic method and the origin of diagnostic method through the pulsation of radial artery. And Qi mouth is recognized as the right and left Qi mouth and Renying is located on pulsation points of both common carotid arteries. 2. The yin of five viscera, nutritional blood and viscous liquid are diagnosed by Qi mouth which is inclued lung meridian. And the yang of six organs, guarding Qi and the rise and fall of stomach energy are diagnosed by Renying which is inclued stomach meridian. 3. It is possible that the position, process and transformational condition of disease are decided by comparing and examining Qi mouth and Renying.

• 대한유전성대사질환학회지
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• 제6권1호
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• pp.40-51
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• 2006

Purpose: A personal computer-based system was developed for automated metabolic profiling of organic aciduria and aminoacidopathy by gas chromatography-mass spectrometry and data interpretation for the diagnosis of metabolic disorders Methods: For automatic data profiling and interpretation, we compiled retention time, two target ions and their intensity ratio for 77 organic acids and 13 amino acids metabolites. Metabolites above the cut-off values were flagged as abnormal compounds. The data interpretation was a based on combination of flagged metabolites. Diagnostic or index metabolites were categorized into three groups, "and", "or" and "NO" compiled for each disorder to improve the specificity of the diagnosis. Groups "and" and "or" comprised essential and optional compounds, respectively, to reach a specific diagnosis. Group "NO" comprised metabolites that must be absent to make a definite diagnosis. We tested this system by analyzing patients with confirmed Propionic aciduria and others. Results: In all cases, the diagnostic metabolites were identified and correct diagnosis was founded to be made among the possible disease suggested by the system. Conclusion: The study showed that the developed method could be the method of choices in rapid, sensitive and simultaneous screening for organic aciduria and amino acidopathy with this simplified automated system.

• 한국통계학회:학술대회논문집
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• 한국통계학회 2000년도 추계학술발표회 논문집
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• pp.187-191
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• 2000

In the analysis of repeated measurements, multivariate regression models that account for the correlations among the observations from the same subject are widely used. Like the usual univariate regression models, these multivariate regression models also need some model diagnostic procedures. In this paper, we propose a simple graphical method to detect outliers and to investigate the goodness of model fit in repeated measures data. The graphical method is based on the quantile-quantile(Q-Q) plots of the $X^2$ distribution and the standard normal distribution. We also propose diagnostic measures to detect influential observations. The proposed method is illustrated using two examples.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.267-270
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• 2021

자동차 진단을 위해서는 자동차 전자 장치인 ECU(Electronic Control Unit)로 구성된 전자 장치를 통해 다양한 통신방식을 활용하여 ECU 내 또는 ECU 간 진단 데이터를 수집하고 진단데이터를 관리하여 이뤄지고 있다. 통신 방식으로는 LIN, CAN, FlexRay 등이 주로 사용되고 있다. 최근에는 Ethernet 기반으로 유선/무선 통신을 활용하고 있다. 자동차 진단을 수행하려면 ECU에서 발생되는 진단코드를 알고 있어야 하고, 진단통신을 이용하여 진단 데이터를 수집할 수 있어야 가능하다. 또한, 자동차 진단에 필요한 응용소프트웨어가 구성되어야 ECU로부터 진단데이터를 관리할 수 있다. 많은 자동차 제조사가 자동차 전장 표준인 AUTOSAR 표준을 기반으로 ECU를 제작하고 있으면, 소프트웨어 구조 또한 표준에 따라 적용될 수 있도록 구성되어 있다. 본 논문에서는 AUTUSAR 표준의 자동차 진단 통신 방식을 이해하고 진단 데이터 구성과 처리 방식에 대해서 연구하였으며, 소프트웨어 컴포넌트와 진단통신, 진단 이벤트 처리에 대한 내용에 대해서 연구하였다.

• Imaging Science in Dentistry
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• 제52권2호
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• pp.181-186
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• 2022

Purpose: This study aimed to investigate inter-observer reliability among observers with different levels of proficiency and the diagnostic imaging reliability of cone-beam computed tomography (CBCT) images of the retromolar canal. Materials and Methods: CBCT images of 307 patients were assessed for the presence of retromolar canals(RMCs) by 3 observers independently. Diagnoses were made twice by each observer at intervals of more than 3 weeks. Interobserver reliability was assessed using the kappa coefficient. One observer had no experience in diagnosis using CBCT images. Therefore, a specialist in diagnostic imaging explained the CBCT images for interpretation and practiced diagnostic imaging together with this observer, while the other observer interpreted the images independently. Thereafter, the observers re-evaluated the images. Results: The interobserver kappa coefficients (including bilateral RMCs) calculated at the first reading were low, ranging from 0.21 to 0.61. Their values ranged from 0.95 (right side) to 1.00 (left side) after one-on-one practice with a diagnostic imaging specialist, while the values ranged from 0.65 (right side) to 0.66 (left side) without one-on-one practice. Conclusion: Diagnostic accuracy was improved through diagnostic imaging practice. To improve the anatomical interpretation of images, it is important to practice diagnostic imaging with a specialist in diagnostic imaging. One-on-one instruction about diagnostic imaging was an effective method of training.

• 한국가스학회지
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• 제8권2호
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• pp.28-34
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• 2004

Enhanced methodologies for process diagnosis and abnormal situation management have been developed for the last two decades. However, there is no single method that always shows better performance over all kinds of diagnostic problems. In this paper, a framework of message-passing, cooperative, intelligent diagnostic agents is presented for improved on-line fault diagnosis through cooperative problem solving of different expertise. A group of diagnostic agents in charge of different process functional perform local diagnoses in parallel; exchange related information with other diagnostic agents; and cooperatively solve the global diagnostic problem of the whole process plant or business units just like human experts would do. For their better understanding, sharing and exchanging of process knowledge and information, we also suggest a way of remodeling processes and protocols, taking into account semantic abstracts of process information and data. The benefits of the suggested multi-agents-based approach are demonstrated by the implementations for solving the diagnostic problems of various chemical processes.