• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.499-502
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• 2011

The advances in Information Technology have made examining the condition of vehicles possible with using various functions of a Smart Phone. Users have not realized the necessity of auto diagnosis system, for previous system required professional knowledge about vehicles. Because of this inconvenience, special system which is easy to use and quick to grasp its condition by smart phone is asked for users. In this research, auto diagnosis system is designed in Windows Phone. The replacement cycles for auto consumables, examining vehicle problems, and information of eco driving indicator are delivered in real time for auto drivers by using OBD-II information which is through wifi module in OBD-II protocol adaptor connector.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10b
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• pp.232-234
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• 2003

본 논문은 인터넷 기반의 유료 원격진료시스템에서 가족간의 유전성에 관련된 내용을 추출하여 관리하는 알고리즘을 제시하여 가족간 정보공유를 통한 효율적인 진단을 위한 병력기록관리에 대한 논문으로서, 환자의 일시적인 상황만 보고서 진단을 행하고 기본적인 검사와 치료를 행함으로서 오진의 확률이 빈번하며. 치료시간과 진료비 청구가 막대하게 지출될 수 가 있었으며, 급기야는 환자의 위급한 상황에 이르러 생명까지 앗아가는 경우가 발생할 것이다. 즉, 이러한 문제점을 최대한 줄이기 위한 방법이 바로 가족 구성간의 진료자료를 공유하여, 가족간의 체질과 환경을 이해하고 가족 중 비슷한 병을 앓았을 경우는 그 치료효과를 빠르게 가져올 수 있으며, 본 논문에서는 이런 문제해결을 위한 병력기록관리 데이터베이스에서의 알고리즘과 가족간 진료자료 공유 시뮬레이션 테이블을 통해서 해결점을 제시하고 있다.

• The Journal of the Korea Contents Association
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• v.12 no.4
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• pp.358-366
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• 2012

Cirrhosis is a consequence of chronic liver disease characterized by replacement of liver tissue by fibrosis, scar tissue and regenerative nodules leading to loss of liver function. Liver Cirrhosis is most commonly caused by alcoholism, hepatitis B and C, and fatty liver disease, but has many other possible causes. Some cases are idiopathic disease from unknown cause. Abdomen of liver Computed tomography(CT) is one of the primary imaging procedures for evaluating liver disease such as liver cirrhosis, Alcoholic liver disease(ALD), cancer, and interval changes because it is economical and easy to use. The purpose of this study is to detect technique for computer-aided diagnosis(CAD) to identify liver cirrhosis in abdomen CT. We experimented on the principal components analysis(PCA) algorithm in the other method and suggested texture information analysis(TIA). Forty clinical cases involving a total of 634 CT sectional images were used in this study. Liver cirrhosis was detected by PCA method(detection rate of 35%), and by TIA methods(detection rate of 100%-AGI, TM, MU, EN). Our present results show that our method can be regarded as a technique for CAD systems to detect liver cirrhosis in CT liver images.

• Journal of Oral Medicine and Pain
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• v.24 no.4
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• pp.387-396
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• 1999

구취를 주소로 내원한 환자 중 구취의 치료 후 객관적인 구취의 감소가 인정되는 데도 불구하고, 계속해서 구취를 호소하며 만족해 하지 못하는 환자들의 심리적 특성을 알아보고자 하였다. 구취를 주소로 서울대학교 치과병원 구강진단과 구취클리닉에 내원하여 검사 및 치료를 시행한 환자 중, 치료 전 객관적 구취의 소견을 보였으나, 치료 후 할리미터 수치의 객관적인 감소를 보이는 40명의 구취 환자를 대상으로 하였다. 치료 전, 모든 환자들은 자신의 주관적 구취 심도 및 그로 인한 불편감 정도를 표시하였고, 간이정신진단검사 (SCL-90-R)를 시행하였으며 할리미터를 이용하여 구강내 휘발성황화합물의 농도를 측정하였다. 치료 후, 구강내 휘발성황화합물의 농도, 주관적 구취 심도 및 불편감 정도를 재측정하였다. 주관적 구취 심도의 감소 정도에 따라 환자들을 두 군으로 분류하여 할리미터 수치와 불편감 정도 및 간이정신진단검사항목을 비교, 분석하였다; A군-주관적 구취 심도가 평균값 이상으로 감소한 환자군; B군-주관적 구취 심도가 평균값 이하로 감소한 환자군. 1. 치료 전후 모두에서 주관적 구취 심도와 휘발성황화합물 농도 사이에는 유의한 상관관계가 없었으며 주관적 구취 심도의 감소 정도 또한 휘발성황화합물의 감소 정도와 상관관계가 없었다. 2. 치료 전 휘발성황화합물의 농도는 치료 후 휘발성황화합물의 감소치와 유의한 상관관계를 보였다 (p < 0.01). 3.구취로 인한 불편감 정도는 주관적 구취 심도와 유의한 상관관계를 보였으며 (p < 0.01), 치료 후 A군에서는 유의하게 감소 (p < 0.01) 하였으나, B군에서는 유의한 감소를 보이지 않았다. 4. B군은 A군에 비하여 간이정신진단검사 항목 중 대인예민성과 우울증의 항목에서 유의하게 높은 수치를 보였다 (p < 0.05).

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.3
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• pp.541-548
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• 2007

The workflow, one of core features for modern business operation, models common elements and their relationships in business processes. The research is focused on how to adapt the workflow model to the healthcare examination which becomes popular these days. Especially, we intend to have fully automated process for healthcare examination by providing customers with PDA with RFTD chip. In order to realize this goal, this paper proposes the design of software architectures the class structures, and the definition of messages used for the system interactions. In other word, the paper shows the analysis of healthcare application in terms of service scenario and the design of workflow engine ant ubiquitous healthcare application under the Object-Oriented programming environment. the The result of the study may also enable the unmanned healthcare examination as well as ubiquitous based healcare examination sooner or later.

• Laboratory Medicine Online
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• v.1 no.1
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• pp.26-34
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• 2011

Background: Laboratory diagnosis of new influenza A (H1N1) is crucial for managing patients and establishing control and prevention measures. We compared the diagnostic accuracies of the real time RT-PCR (rRT-PCR) test recommended for the confirmation of the new flu and the viral culture method used conventionally for viral disease with that of the rapid antigen test (RAT). Methods: We performed RAT, R-mix culture, and real-time PCR by using 861 respiratory samples collected from December 2009 to January 2010 and evaluated the abilities of these methods to detect new influenza A. The relationship among the positive rates of RAT, grades of culture, and the cycle threshold (Ct) values of rRT-PCR was also evaluated. Results: Of the 861 patients, 308 (35.8%) were diagnosed with new influenza A. The sensitivities, specificities, positive predictive values, and negative predictive values of the tests were respectively as follows: 59.7%, 99.5%, 98.4%, and 81.6% for RAT; 93.2%, 100%, 100%, and 96.3% for R-mix culture; and 95.8%, 100%, 100%, and 97.7% for rRT-PCR. Samples with weak positive grade in culture and those with Ct values of 30-37 in rRT-PCR showed positivities as low as 25.3% and 2.3% in RAT, respectively. The hospitalization rate and death rate of the confirmed patients were 3.2% and 0.3%, respectively, and gastrointestinal symptoms were observed in 7.2% of the patients. Conclusions: R-mix culture and rRT-PCR tests showed excellent reliability in the diagnosis of new influenza A and could be very useful, especially for samples with low viral load.

• Magazine of the Korea Institute for Structural Maintenance and Inspection
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• v.18 no.4
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• pp.63-67
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• 2014

• The Monthly Diabetes
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• s.220
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• pp.5-6
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• 2008

이번 특집에서는 최근에 관심이 높아지면서 그 발병률이 증가하고 있는 비알코올성 지방간 질환의 발병 원인과 기전을 알아보고, 당뇨병환자에서의 지방간질환의 임상증상, 진단 등에 대해 살펴보고, 현재 응용되고 있는 치료방향에 대해서 알아보고자 한다.

• Journal of Korea Water Resources Association
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• v.55 no.spc1
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• pp.1177-1185
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• 2022

The water and sewage system is an infrastructure that provides safe and clean water to people. In particular, since the water and sewage pipelines are buried underground, it is very difficult to detect system defects. For this reason, the diagnosis of pipelines is limited to post-defect detection, such as system diagnosis based on the images taken after taking pictures and videos with cameras and drones inside the pipelines. Therefore, real-time detection technology of pipelines is required. Recently, pipeline diagnosis technology using advanced equipment and artificial intelligence techniques is being developed, but AI-based defect detection technology requires a variety of learning data because the types and numbers of defect data affect the detection performance. Therefore, in this study, various defect scenarios are implemented using 3D printing model to improve the detection performance when detecting defects in pipelines. Afterwards, the collected images are performed to pre-processing such as classification according to the degree of risk and labeling of objects, and real-time defect detection is performed. The proposed technique can provide real-time feedback in the pipeline defect detection process, and it would be minimizing the possibility of missing diagnoses and improve the existing water and sewerage pipe diagnosis processing capability.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.10
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• pp.285-290
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• 2021

In the medical field, disease diagnosis and prediction research using artificial intelligence technology is being actively conducted. It is being released as a variety of products for disease diagnosis and prediction, which are most widely used in the application of artificial intelligence technology based on medical images. Artificial intelligence is being applied to diagnose diseases, to classify diseases into benign and malignant, and to separate disease regions for use in identification or reading according to the risk of disease. Recently, in connection with cloud technology, its utility as a service product is increasing. Among the diseases dealt with in this paper, liver disease is a disease with very high risk because it is difficult to diagnose early due to the lack of pain. Artificial intelligence technology was introduced based on medical images as a non-invasive diagnostic method for diagnosing these diseases. We describe the development of a web service to help the most meaningful clinical reading of liver cirrhosis patients. Then, it shows the web service process and shows the operation screen of each process and the final result screen. It is expected that the proposed service will be able to diagnose liver cirrhosis at an early stage and help patients recover through rapid treatment.