• Tuberculosis and Respiratory Diseases
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• v.55 no.3
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• pp.239-249
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• 2003

Multi-detector row CT (MDCT) provides faster speed, longer coverage in conjunction with thin slices, improved spatial resolution, and ability to produce high quality muliplanar and three-dimensional (3D) images. MDCT has revolutionized the non-invasive evaluation of the central airways. Simultaneous display of axial, multiplanar, and 3D images raises precision and accuracy of the radiologic diagnosis of central airway disease. This article introduces central airway imaging with MDCT emphasizing on the emerging role of multiplanar and 3D reconstruction.

• Journal of radiological science and technology
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• v.12 no.1
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• pp.17-23
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• 1989

We have developed of the exposure technique for the chest radiography to get different contrast in left and right lung fields simultaneously for the effective diagnosis, I.E., get high contrast to detect tuberculosis, dispersal shadow or exudative lesions of early tuberculosis and get better sharpness and wider latitude to detect growing lesions of lung cancer or lesions overlapped with bones. As a result, by using an additional filter Cu 1.2mm with BX-III screen side and sheet of yellow cellophane on BF-III screen side at the conventional KV ($80KV{\sim}100KV$) for the chest X-ray, we can get similar densities in both left and right lung fields and, thus, this method is considered to be very effective for the quality diagnosis for the routine chest radiography.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.1160-1161
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• 2015

In order to analyze and diagnosis on Location of partial discharge in underground distribution cable, partial discharges were measured using eletromagnetic sensors, oscilloscope, PDMS system at on-site underground multi-circuit switches. Throughout the analysis using 3-phase simultaneous pulse analysis and pulse polarity comparison of circuits, it is possible to separate noises and PD pulses and to find out the location of the pulses.

• Journal of ILASS-Korea
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• v.7 no.3
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• pp.31-37
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• 2002

In previous study, diesel-methanol stratified injection system is manufactured and applied to a D.I. diesel engine in order to realize combustion improvement using methanol, which is oxygenated fuel with large latent heat. We know that NOx and soot is reduced by stratified injection of diesel fuel-methanol. Therefore, in the present study, combustion diagnosis using optical measurement is tried to make clear effect of methanol on simultaneous reduction of NOx and soot. Two-color method is used to measure flame temperature and KL value, which is approximately proportional to the soot consentration along the optical path. Laser induced scattering method was used to measure distribution of soot at two dimensional area. Also, it is compared exhaust characteristics of NOx and soot with results of optical measurement.

• Ceramist
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• v.22 no.1
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• pp.70-81
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• 2019

Breath analysis is rapidly evolving as a non-invasive disease recognition and diagnosis method. Metal oxide gas sensors are one of the most ideal platforms for realizing portable, hand-held breath analysis devices in the near future. This paper reviewed the recent developments in metal oxide gas sensors detecting exhaled biomarker gases such as nitric oxides, acetone, ammonia, hydrogen sulfide, and hydrocarbons. Emphasis was placed on strategies to tailor sensing materials/films capable of highly selective and sensitive detection of biomarker gases with negligible cross-response to ethanol, the major interfering breath gas. Specific examples were given to highlight the validity of the strategies, which include optimization of sensing temperature, doping additives, utilizing acid-base interaction, loading catalysts, and controlling gas reforming reaction. In addition, we briefly discussed the design and optimization method of gas sensor arrays for implementing the simultaneous assessment of multiple diseases. Breath analysis using high-performance metal oxide gas sensors/arrays will open new roads for point-of-care diagnosis of diseases such as asthma, diabetes, kidney dysfunction, halitosis, and lung cancer.

• Brain Tumor Research and Treatment
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• v.6 no.2
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• pp.73-77
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• 2018

Germinoma is the most common type of intracranial germ cell tumors (GCTs). Pineal gland and suprasellar region are the most frequent sites of central nervous system (CNS) involvement. Intracranial masses caused by Langerhans cell histiocytosis (LCH) mimics features of CNS GCTs. LCH frequently involve spine and is the most common cause of vertebra plana in children. A 15-year-old boy presented with progressing symptoms of polydipsia, polyuria, general headache, nausea and severe back pain. Brain MRI showed brain tumor with simultaneous involvement of suprasellar region and pineal gland. An excisional biopsy of suprasellar mass was done. The pathologic assessment confirmed the diagnosis of germinoma. Patient's treatment continued accordingly. A spine MRI, done due to persistent backache, showed a vertebra plana. We reevaluated the primary diagnosis suspecting LCH. Germinoma of CNS was confirmed and a biopsy of vertebral lesion resulted in hemangioma. Thus we report a case of CNS germinoma with co-occurrence of vertebra plana. We emphasized the importance of histopathologic diagnosis of pineal/suprasellar masses and primary investigation of other CNS regions including spine for possible metastasis or comorbidities.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.58 no.2
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• pp.142-148
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• 2013

Bacterial diseases in soybean are bacterial pustule by Xanthomonas axonopodis pv. glycines, wildfire by Pseudomonas syringae pv. tabaci, bacterial blight by Pseudomonas savastanoi pv. glycines and bacterial brown spot by Pseudomonas syringae pv. syringae in Korea. It is difficult to identify each disease by early symptoms in fields, because the initial symptoms of these diseases are very similar to each other. In this study, we developed multiplex PCR detection method for rapid and accurate diagnosis of bacterial diseases. The glycinecin A of X. axonopodis pv. glycines, the tabtoxin of P. syringae pv. tabaci, the coronatine of P. savastanoi pv. glycines and the syringopeptin of P. syringae pv. syringae have been reported previously. These bacteriocin or phytotoxin producing genes were targeted to design the specific diagnostic primers. The primer pairs for diagnosis of each bacterial diseases were selected without nonspecific reactions. The studies on simultaneous diagnosis method were also conducted with primarily selected 21 primers. As a result, we selected PCR primer sets for multiplex PCR. Sizes of the amplified PCR products using the multiplex PCR primer set consist of 280, 355, 563 and 815 bp, respectively. This multiplex PCR method provides a efficient, sensitive and rapid tool for the diagnosis of the bacterial diseases in soybean.

• Proceedings of the KIEE Conference
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• 2005.07a
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• pp.277-279
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• 2005

Recently, due to the increase of power conversion devices and nonlinear loads with the development of information, communication and control technologies, the instantaneous minute interruption factors such as voltage & current harmonics, surge occurring frequency, instantaneous voltage variation, voltage unbalance, flicker etc. have greatly threatened the power quality, and the deterioration of electric power facilities and the functional error of controllers are increasing. As such an instantaneous minute interruption appears to be small and local, accurate evaluation with measurement is difficult and total analysis system is required through a wide range of power quality effect analysis such as the simultaneous measurement on various power supply phenomena and the analysis on the interrelation with system loads. Most of conventional power quality diagnosis equipments have beer developed and applied, which were able to measure the stability rate of frequency, the stability rate of voltage, the electricity-failure duration etc, However, they were insufficient to analyze the system present situation, understand the cause of the failure occurred by the problem of power quality and analyze out the phenomena. Accordingly, this study will address the development of the system for a wide range of power quality diagnosis over the present level, the system for supporting the determination such as the analysis on risk factors, failure mode and impact, the system for harmonic evaluation based on international standards(IEC 61000 Series) and the total power quality diagnosis network & system with the extension and openness as a local and national-scale broadband power quality diagnosis system.

• Journal of Chest Surgery
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• v.43 no.6
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• pp.808-811
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• 2010

Simultaneous occurrence of the trachea, esophagus, and spinal cord injuries due to stabbing is rare. The incidence is decreasing, but early diagnosis and surgical treatment is important because it can be life-threatening. We present one case of simultaneous trachea, esophagus, and spinal cord injury caused by self-stabbing complicated with paraplegia.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.57-62
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• 2005

Microarray gene expression profiling technology is one of the most important research topics in clinical diagnosis of disease. Given thousands of genes, only a small number of them show strong correlation with a certain phenotype. To identify such an optimal subset from thousands of genes is intractable, which plays a crucial role when classify multiple-class genes express models from tumor samples. This paper proposes an efficient classifier design method to simultaneously select the most relevant genes using an intelligent genetic algorithm (IGA) and design an accurate classifier using Support Vector Machine (SVM). IGA with an intelligent crossover operation based on orthogonal experimental design can efficiently solve large-scale parameter optimization problems. Therefore, the parameters of SVM as well as the binary parameters for gene selection are all encoded in a chromosome to achieve simultaneous optimization of gene selection and the associated SVM for accurate tumor classification. The effectiveness of the proposed method IGA/SVM is evaluated using four benchmark datasets. It is shown by computer simulation that IGA/SVM performs better than the existing method in terms of classification accuracy.