• Journal of computational fluids engineering
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• v.7 no.2
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• pp.33-42
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• 2002

Numerical estimation for concentration of mono-carbon oxygen (CO) gas inside an underground parking lot with auxiliary jet fans for enhancement of ventilation is carried out by using a commercial program. Main interest lies on the diagnosis of the present ventilation system including position and selection of auxiliarly fans in addition to main suppliers and exhausts. Details of both flows and concentration of CO gas that is most important component among car exhaust gases are illustrated in this investigation and those are presented for engineering construction of an underground parking pool. Prediction data of computational work is also validated by real measurements of concentration of CO gas.

• Journal of Veterinary Clinics
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• v.11 no.1
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• pp.383-387
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• 1994

The purpose of this report is to describe the radiographic patterns of canine gastric dilatation-volvulus syndrome derived from a case. Radiographs showed the presence of a large amount of gas, fluid and ingesta within the stomach. The gas-filled pyloric antrum was present in the left cranial abdomen in the ventrodorsal view, and located dorsal and slightly cranial to the gas-filled fundus of the stomach in the right lateral recumbent and standing lateral view. On the right lateral recumbent view, the gas-filled stomach was compartmentalized by a soft-tissue dense band caused by the pyloric antral wall folding back and contacting the fundic wall. It was thought that the gastric volvulus in this case occurred In a clock. wise direction by radiographic findings.

• Transactions of the Korean Society of Automotive Engineers
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• v.9 no.6
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• pp.112-118
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• 2001

In this study the leakage current measurement method based on a porous ceramic is applied to check the conductive substance caused by the ionized particles. By using engine and chassis dynamometer and an experiment vehicle, in which the hydrocarbon sensor (HC sensor) was exposed to the exhaust gas to create the electrical signal, the HC sensor in the exhaust line checked the conductive ions in emission gas. Generally the output electrical signal of HC sensor is followed with amount of hydrocarbon in the experiments in cold start and operation. By combining the electrical signal, a measure of conductivity of exhaust gas with hydrocarbon can be provided by OBD (On Board Diagnosis) II and EMS (Engine Management System).

• Journal of information and communication convergence engineering
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• v.20 no.3
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• pp.153-159
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• 2022

Plain radiographic analysis is the initial imaging modality for suspected small bowel obstruction. Among the many features that affect the diagnosis of small bowel obstruction (SBO), the presence of gas-filled or fluid-filled small bowel loops is the most salient feature that can be automatized by computer vision algorithms. In this study, we compare three frequently applied pixel-clustering algorithms for extracting gas-filled areas without human intervention. In a comparison involving 40 suspected SBO cases, the Possibilistic C-Means and Fuzzy C-Means algorithms exhibited initialization-sensitivity problems and difficulties coping with low intensity contrast, achieving low 72.5% and 85% success rates in extraction. The Adaptive Resonance Theory 2 algorithm is the most suitable algorithm for gas-filled region detection, achieving a 100% success rate on 40 tested images, largely owing to its dynamic control of the number of clusters.

• Journal of Sensor Science and Technology
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• v.32 no.1
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• pp.55-61
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• 2023

The objective of this study is to determine the concentrations of mixed gases by establishing a diagnosis method of a transformer using tunable-wavelength optical infrared sensors. Absorption of infrared light by methane, acetylene, and ethylene gases injected is measured from the outputs of the infrared sensors. Regression analysis equations of the gas concentrations are acquired from their respective measured absorption. The obtained concentrations are as follows: -3-9 % errors above 600 ppm(methane), 3 % errors above 1200 ppm(acetylene), and 10 % errors above 500 ppm(ethylene). The concentration inference equations obtained using the individual gases are applicable when the absorption wavelength bands do not overlap. The results of the fault analysis of a transformer using the Duval triangle method and the tunable infrared gas sensors are as follows: temperature faults with -1-1% errors and energy faults with -7-7 % errors.

• Pediatric Infection and Vaccine
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• v.12 no.2
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• pp.213-217
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• 2005

Group A Streptococcus(GAS) is one of the most common cause of pediatric infection. Although known invasive GAS infections such as, meningitis, pneumonia and osteomyelitis are rare, there has been an increasing incidence of invasive GAS infections recently. Invasive GAS infections, including GAS meningitis can be easily treated if diagnosed early. However, delayed diagnosis and treatment may be fatal. We experienced one case of GAS meningitis. Although a few cases of GAS meningitis have been reported worldwide, it seems to be the first report from Korea.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.21 no.7
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• pp.75-83
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• 2007

IEC code based decision nile have been widely applied to detect incipient faults in power transformers. However, this method has a drawback to achieve the diagnosis with accuracy without experienced experts. In order to resolve this problem, we propose an artificial diagnosis algorithm to detect faults of power transformers using Self-Organizing Feature Map(SOM). The proposed method has two stages such as model construction and diagnostic procedure. First, faulty model is constructed by feature maps obtained by unsupervised learning for training data. And then, diagnosis is performed by compare feature map with it obtained for test data. Also the proposed method usぉms the possibility and degree of aging as well as the fault occurred in transformer by clustering and distance measure schemes. To demonstrate the validity of proposed method, various experiments are unformed and their results are presented.

• Journal of The Korean Society of Inherited Metabolic disease
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• v.6 no.1
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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.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2007.11a
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• pp.350-353
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• 2007

In this study, the genetic algorithm has been used for the real-time defect diagnosis on the operation of the aircraft gas-turbine engine. The component elements of the gas-turbine engine for consideriation of the performance deterioration is consist of the compressor, the gas generation turbine and the power turbine, repectively. Compared to the on-design point on the sea-level condition, the learning data has been increased 200 times in case of the off-design conditions for the altitude, the flight mach number and the fuel consumption. Therefore, enormous learning time has been required for the satisfied convergence. The optimum division has been proposed to decrease learning time as well as to obtain high accuracy. As results, the RMS errors of the defect diagnosis using the genetic algorithm have been estimated under 5 %.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.8
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• pp.4829-4834
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• 2013

Background: Breast self examination (BSE), performed regularly every month, is one of the most important methods in the early diagnosis of breast cancer. This study was performed with the aim of establishing the knowledge, attitudes, and behavior of women working in government hospitals within the province of Samsun regarding BSE. Materials and Methods: This cross-sectional study was conducted between January-March 2012, on a total of 550 women (500 health personnel, and 50 general administration services (GAS) workers) from 7 government hospitals and the Cancer Early Diagnosis, Screening, and Education Centre (CEDSEC). Percentages were used for the descriptive statistics, and the chi-square test for the evaluation of statistical importance. Values of p<0.05 were accepted as significant. Results: The mean age of the participants was $36.2{\pm}15.3$, and 42.5% were in the 30-39 year old age group, 78.0% being married. Seventy-eight point four percent (78.4%) of the health personnel and 76.0% of the GAS workers performed BSE. However, the rates of performing BSE regularly every month were only 25.6% and 5.0%. Within the health personnel, 1.4% stated that they did not perform BSE because they found it unnecessary as they had no history of breast cancer in their family, 3.6% did not do so due to fear and stress, 13.2% because they forgot, and 14.6% because they had no complaints. Some 22.2% of the health personnel and 52.0% of the GAS workers had undergone mammographic evaluation, the difference being significant (p<0.05), 84.1% of the health personnel and 61.9% of the GAS workers knowing symptoms of breast cancer. Conclusions: Women in society should be brought to a certain level of awareness and knowledge regarding BSE. It is of the utmost importance that health personnel, who carry the responsibility for counseling and enlightening society, should interiorize the necessary knowledge, attitudes and behavior.