• Journal of the Korean Society for Nondestructive Testing
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• v.36 no.4
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• pp.300-307
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• 2016

The faults in railway vehicle components may result in either the stoppage of the service and the derailment of the vehicle. Therefore, it is important to diagnose and monitor the main components of a railway vehicle. The use of temperature is one of the basic methods for the diagnosis of abnormal conditions in the rotational components of a railway vehicle, such as bearings, reduction gears, brake discs, wheels and traction motors. In the present study, the diagnose of the rotational components using infrared thermography and a pattern recognition technique was carried out and a field test was performed. The results show that this method of diagnosis using infrared thermography can be used to identify abnormal conditions in rotational components of a railway vehicle.

• The Korean Journal of Cytopathology
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• v.8 no.1
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• pp.1-10
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• 1997

The fine needle aspiration biopsy(FNAB) has become a popular method to diagnose mass lesions of the liver. Although many reports have listed FNAB criteria to be used to diagnose hepatocellular carcinoma(HCC), a diagnostic dilemma still exists at the extreme ends of the spectrum, particularly for well differentiated HCC. The authors reviewed a series of FNAB specimens of the liver to distinguish well differentiated HCC from nonneoplastic liver. Fifteen cytologic features were examined in this study: high cellularity, large sheet formation, trabecular pattern, acinar pattern, dispersed pattern, irregular arrangement, increased nuclear/cytoplasmic ratio, naked nuclei, irregular chromatin, irregular nuclear contour, multinucleation, uniform macronucleoli, multiple nuclei, uniform small cytoplasm and monotony of atypia. These features were examined in a series of 76 FNAB specimens. Fifty two specimens were from patients with HCC and 24 specimens were from patients with nonneoplastic lesion or tumors other than HCC containg adequate amount of nonneoplastic hepatocytes in smear. All specimens were coded as to the presence or absence of the above cytologic features. With the use of step-wise logistic regression analysis, three features were identified as the key cytologic features predictive of HCC: irregular chromatin, monotony of atypia and absence of large sheet formation. When these criteria were used, the sensitivity diagnosing HCC by FNAB was 94.2%, specificity 100%, positive predictive value 100% and negative predictive value was 88.9%.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.11 no.1
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• pp.61-71
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• 2007

Background: Bojungikgitang is one of the most common herbs in oriental medicine. Principally, this medicine heals illness from overwork and stress. Therefore, it is frequently used in the ancient community. Because of insufficiency in data, objective judgements are difficult in remedial effects by Bojungikgitang. In order to make objectivity diagnose data, this research is developed. Purpose: The aim of the research is to make questionnaire for the medicine and the objective is to sell to the public from the local clinic. Methods: The questionnaire which includes symptoms and signs for diagnose of Bojungikgitang is studied by the Delphi method and average value. Results: By the Delphi method and average value, 25 Items of questionnaires are choosen for the research. Conclusions: Further research is necessary for modification of questionnaire by statistics and certification by clinical trial. The statistics and verification by clinical trial is necessary with modification for further research.

• Transactions of the Korean Society of Mechanical Engineers
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• v.15 no.6
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• pp.2026-2036
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• 1991

An expert system is developed which can diagnose the causes and remedies of the failures of power transmission gears. The basic components of the expert system are knowledge base, inference engine, and working memory. The knowledges in knowledge base are classified into the knowledges for determining the failure types and for diagnosis of causes and remedies of the failures. The former is represented hierarchically into the main category of eleven groups by rules and the sub category of twenty four groups by facts, while the later is represented by facts according to the each group of knowledges. In the inference engine some considerations are implemented, i.e., the backward chaining method and depth first search to determine the category of the failures, the meta-knowledges to shorten the search space, the certainty factor to evaluate the reliability of result, and the unification strategy to diagnose the causes and remedies of the failures. The working memory is established to hold the results during inference temporarily. In addition, knowledge acquisition facility, explanation facility, and user interface are included for the usefulness of user. This expert system is written with the PROLOG programming language on IBM-PC compatible computer operated by MS-DOS and be executed alone.

• Journal of Internet Computing and Services
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• v.21 no.3
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• pp.103-111
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• 2020

Liver cancer is the most fatal cancer that occurs worldwide. In order to diagnose liver cancer, the patient's physical condition was checked by using a CT technique using radiation. Segmentation was needed to diagnose the liver on the patient's abdominal CT scan, which the radiologists had to do manually, which caused tremendous time and human mistakes. In order to automate, researchers attempted segmentation using image segmentation algorithms in computer vision field, but it was still time-consuming because of the interactive based and the setting value. To reduce time and to get more accurate segmentation, researchers have begun to attempt to segment the liver in CT images using CNNs, which show significant performance in various computer vision fields. The pixel value, or numerical value, of the CT image is called the Hounsfield Unit (HU) value, which is a relative representation of the transmittance of radiation, and usually ranges from about -2000 to 2000. In general, deep learning researchers reduce or limit this range and use it for training to remove noise and focus on the target organ. Here, we observed that the range of HU values was limited in many studies but different in various liver segmentation studies, and assumed that performance could vary depending on the HU range. In this paper, we propose the possibility of considering HU value range as a hyper parameter. U-Net and ResUNet were used to compare and experiment with different HU range limit preprocessing of CHAOS dataset under limited conditions. As a result, it was confirmed that the results are different depending on the HU range. This proves that the range limiting the HU value itself can be a hyper parameter, which means that there are HU ranges that can provide optimal performance for various models.

• Journal of Veterinary Clinics
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• v.27 no.2
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• pp.175-178
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• 2010

A 5-year-old male Cocker spaniel was presented with an abrupt seizure episode. The dog was moderately dehydrated, hypersalivation and loss of consciousness at the presentation. Tentative diagnosis was made through history taking, clinical signs, physical examination, neurologic examination, basic laboratory examinations, radiological examination and cytologic examination. In addition, serum alpha-fetoprotein (AFP) value was measured to diagnose in this case. The serum AFP concentration was marked elevated (1513.5 ng/ml). The patient was suspected as HCC and medical therapy was initiated to control hypoglycemic-associated seizure. However, the dog was euthanized because of the owner's request. It was diagnosed as hepatocellular carcinoma (HCC) based on the histopathologic examination. This case indicates that AFP measurement might be valuable to diagnose HCC in dogs.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.22 no.4
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• pp.139-146
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• 2008

Conductors in overhead transmission lines are exposed under various environmental conditions for a long period of time, so that they may be slowly degraded due to air pollutant or thermal history. Aged conductors may reduce power system reliability and public safety. Therefore, diagnosis of aged conductors in service becomes more important concerns with respect to keeping power delivery stable with a proper capability, replacing aged conductors, or constructing a new line. In this paper, we posed a new method to diagnose the refurbishment life and estimate the remaining life of aged conductors by measuring dips. As analyzing some relations of conductor temperature, conductor current, and tension load, it could be verified that dip exactly shows mechanical tension loss for aged conductor. Based on several simulation results, it was shown that the proposed method may be effectively used to diagnose the refurbishment life or remaining one of overhead conductors.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.9 no.1
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• pp.23-46
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• 2005

Background and purpose: Maek Kyoung(脈經) is a book written, compiled, and edited by Wang Hui circa 3 A.D. This book is the first technical book devoted to the diagnostics. These are very important data but never make a special study and translate. so I hope this treatise can be great help to understand diagnosis study. Methods: Maek Kyoung(脈經) consists of ten volumes, and the third volume consists of the five chapters, including inter-generation and inter-restriction of the five viscera and the six entrails and prognosis of diseases. This treatise is made up of principal, notes, study and conclusion, we tried to make a translation faithful to the original. Results and Conclusion: Chapter 3 refers to five things. The first is relation between spleen and stomach, the second is how to diagnose diseases by using intergneration and inter-restriction of five elements, the third is roles of spleen that has an influence on four viscera through four seasons, the forth is the fact that quantity of gastroqi decides prognosis of diseases, and the fifth is that climate change has influence on the seriousness of diseases. Chapter 4 refers to four things. The first is relation between lung and large intestines, the second is ordinary and extraordinary pulse condition of lung, the third is that pulse condition including its speed, and the forth is how to diagnose diseases by using intergneration and inter-restriction of five elements and climate change.

• Journal of the Korean Society of Radiology
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• v.12 no.3
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• pp.397-402
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• 2018

The study best image for diagnosis of fracture, dislocation and unilateral degenerative arthritis of the Sacroiliac joint, this study was performed to obtain the best image of the joint space of the hip joint by giving angle change to the pelvis phantom and the x-ray tube. I received evaluation. The results of the Receiver Operating Characteristic that in the case of simple photographs for the detection of joint arthritis and degenerative arthritis in the prone position, the photograph taken in the prone position raises the buttocks of the opposite side of the test by $25^{\circ}{\sim}30^{\circ}$ and the x-ray tube is perpendicular to the sagittal plane passing 2.5 cm inward from the thorny vertebra In the lying position, lift the Sacroiliac joint of the test side by $25^{\circ}{\sim}30^{\circ}$, and take a $5^{\circ}$ angle of the x-ray tube angle toward the foot toward the center of the upper bruch spine from it will be helpful to diagnose arthritis. the center of the upper bruch spine to the side of the ankle joints in the transverse direction And posterior direction, it will be helpful to diagnose arthritis.

• Journal of Biomedical Engineering Research
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• v.37 no.5
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• pp.153-160
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• 2016

This study proposes an algorithm for removal of CPR artifact in order that automated external defibrillator (AED) can effectively diagnose ECG rhythm during cardiopulmonary resuscitation (CPR). Current AED required to interrupt chest compression for reliable rhythm analysis to avoid the effect of artifacts produced by CPR. However even temporarily interruption of chest compression during CPR adversely affects the probability of restoration of spontaneous circulation (ROSC) and survival after the delivery of the shock. Therefore, we proposed a method for removal of CPR artifacts using least mean square (LMS) filter. The removal of the CPR artifacts would enable compressions to continue during AED rhythm analysis, thereby increasing the likelihood of resuscitation success. It was tested on 31 segments of shockable and 300 segments of non-shockable ECG signals recorded from three pigs during CPR. In the result, sensitivity (Se) and specificity (Sp) analysis on the test segments showed values of Se = 3.2%, Sp = 66.0% and Se = 96.8%, Sp = 98.7% in the case of unfiltered and filtered signals during CPR. In conclusion, it was shown that the proposed method can be a useful tool to exactly diagnose the ECG rhythm during the CPR.