• Journal of Oral Medicine and Pain
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• 제24권2호
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• pp.181-187
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• 1999

The most important progress in diagnostic sciences is the increased sensitivity and specificity in diagnostic procedures due to the development of newer micromethodologies and increasing availability of immunological and molecular biological reagents. The outcome of researches in this field has already provided DNA probes and antibodies which can be used for diagnosing various kinds of diseases including inherited ones. This development can be also applied to diagnose diseases in oral and maxillofacial regions. Technological advances have yielded highly sensitive test methodologies so that low analyte concentration and small sample volume are no longer limiting factors. Therefore, saliva can be useful test fluid for an array of analytes. Salivary constituents of diagnostic significance include steroid hormones, antibodies, drugs, and tumor markers. Of the proteins present in saliva, viral-specific immunoglobulins are of the greatest diagnostic interest. The development of conjugates and antigens by recombinant DNA technique and peptide synthesis is necessary for clinical application. Several kits developed for the purpose of blood testing should be modified to permit their application to saliva. The final practical outcome of researches in diagnostic sciences will be various diagnostic agents which can be used for detection of bacteria and viruses, screening and diagnosis of diseases, genetic screening for forensic individual identification. For these purposes, collaboration researches and development between institutions and companies are essential.

• International Journal of Aeronautical and Space Sciences
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• 제10권2호
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• pp.34-42
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• 2009

Gas turbine performance diagnostics is a method for detecting, isolating and quantifying faults in gas turbine gas path components. On-line precise fault diagnosis can promote greatly reliability and availability of gas turbine in real time operation. This work proposes a GUI-type on-line diagnostic program using SIMULINK and Fuzzy-Neuro algorithms for a helicopter turboshaft engine. During development of the diagnostic program, a look-up table type base performance module are used for reducing computer calculating time and a signal generation module for simulating real time performance data. This program is composed of the on-line condition monitoring program to monitor on-line measuring performance condition, the fuzzy inference system to isolate the faults from measuring data and the neural network to quantify the isolated faults. Evaluation of the proposed on-line diagnostic program is performed through application to the helicopter engine health monitoring.

• 한국임상수의학회지
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• 제32권1호
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• pp.73-77
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• 2015

There has been increasing attention on sample size requirements in peer reviewed medical literatures. Accordingly, a statistically-valid sample size determination has been described for a variety of medical situations including diagnostic test accuracy studies. If the sample is too small, the estimate is too inaccurate to be useful. On the other hand, a very large sample size would yield the estimate with more accurate than required but may be costly and inefficient. Choosing the optimal sample size depends on statistical considerations, such as the desired precision, statistical power, confidence level and prevalence of disease, and non-statistical considerations, such as resources, cost and sample availability. In a previous paper (J Vet Clin 2012; 29: 68-77) we briefly described the statistical theory behind sample size calculations and provided practical methods of calculating sample size in different situations for different research purposes. This review describes how to calculate sample sizes when assessing diagnostic test performance such as sensitivity and specificity alone. Also included in this paper are tables and formulae to help researchers for designing diagnostic test studies and calculating sample size in studies evaluating test performance. For complex studies clinicians are encouraged to consult a statistician to help in the design and analysis for an accurate determination of the sample size.

• Transactions on Electrical and Electronic Materials
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• 제7권2호
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• pp.90-95
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• 2006

An on-line diagnostic test has been studied and performed for the pumped storage generator/motor. This study aims at reducing the diagnostic cost, minimizing the technical dependency on third party manufactures. Further design of on-line diagnostic system such as shorted-turn of rotor winding, partial discharge (PD) of stator winding and air-gap between stator and rotor for pumped storage generator/motor has been verified. In addition, it needs to be validated on site performance of the developed continuous on-line monitoring system for corresponding tasks for the improvement of the availability & reliability during operation.

• Journal of information and communication convergence engineering
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• 제17권2호
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• pp.128-134
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• 2019

Based on the concept of Industry 4.0, various sensors are attached to facilities and equipment to collect data in real time and diagnose faults using analyzing techniques. Diagnostic technology continuously monitors faults or performance degradation of facilities and equipment in operation and diagnoses abnormal symptoms to ensure safety and availability through maintenance before failure occurs. In this paper, we propose a model to analyze the data and diagnose the state or failure using machine learning. The diagnosis model is based on a support vector machine (SVM)-based diagnosis model and a self-learning one-class SVM-based diagnostic model. In the future, it is expected that this model can be applied to facilities used in the entire industry by applying the actual data to the diagnostic model proposed in this paper, conducting the experiment, and verifying it through the model performance evaluation index.

• 대한세포병리학회지
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• 제10권1호
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• pp.7-11
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• 1999

We evaluated the availability of toluidine blue stain in body fluids, such as peritoneal and pleural fluid and urine. Nine hundreds specimens, i.e., 400 pleural and 400 peritoneal fluids and 100 urine samples, respectively, from Jan. 1995 to May 1996 were included. We obtained the result of high sensitivity and high specificity. In toluidine blue stained body fluid in comparison with Papanicolaou stained result. Additionally, we found the diagnostically important crystals in chylothorax and some urine samples, which can not be seen in routine Papanicolaou stain. We thought the toluidine blue stain in body fluid is one of very useful diagnostic methods.

• 전기학회논문지
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• 제59권8호
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• pp.1456-1463
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• 2010

The safety critical systems in nuclear power plants should be designed to have a high level of fault tolerant capability because those systems are used for protection or mitigation of the postulated accidents of nuclear reactor. Due to increasing of the system complexity of the digital based system in nuclear fields, the reliability of the digital based systems without an auto-test or a self-diagnostic feature is generally lower than those of analog system. To overcome this problem, additional redundant architectures in each redundant channel and self-diagnostic features are commonly integrated into the digital safety systems. The self diagnostic function is a key factor for increasing fault tolerant capabilities in the digital based safety system. This paper presents an availability and safety evaluation model to analyze the effect to the system's fault tolerant capabilities depending on self-diagnostic features when the loss or erroneous behaviors of self-diagnostic function are expected to occur. The analysis result of the proposed model on the several modules of a safety platform shows that the improvement effect on unavailability of each module has generally become smaller than the result of usage of conventional models and the unavailability itself has changed significantly depending on the characteristics of failures or errors of self-diagnostic function.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2000년도 춘계학술대회
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• pp.207-215
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• 2000

This study deals with the application of knowledge-engineering and a methodology for the assessment & measurement of reliability, availability, maintainability, and safety of industrial systems using fault-tree representation. A fuzzy methodology for fault-tree evaluation seems to be an alternative solution to overcome the drawbacks of the conventional approach(insufficient information concerning the relative frequences of hazard events). To improve the quality of results, the membership functions must be approximated based on heuristic considerations. The purpose of this Is to describe the knowlwdge engineering approach, directed to integrate the various sources of knowledge involved in a FTA.

• 대한치과의사협회지
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• 제54권9호
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• pp.729-733
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• 2016

Teleradiology is the electronic transmission of radiologic images from one location to another for the purpose of interpretation and/or consultation. Today, images can be easily transmitted to another location using the high-speed internet. In medical area, teleradiology has developed rapidly in recent 10 years due to the imbalance between the demand and availability of diagnostic services. However, teleradiology in dentistry is still inactive. I would like to overview the current teleradiology system, and discuss the necessity and the potentiality.

• 대한안전경영과학회지
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• 제2권2호
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• pp.1-10
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• 2000

This study deals with the application of knowledge engineering and a methodology for the assessment and measurement of reliability, availability, maintainability, and safety of industrial systems using fault-tree representation. A fuzzy methodology for fault-tree evaluation seems to be an alternative solution to overcome the drawbacks of the conventional approach (insufficient information concerning the relative frequence of hazard events). To improve the quality of results, the membership functions must be approximated based on heuristic considerations. The purpose of this study is to describe the knowledge engineering approach, directed to integrate the various sources of knowledge involved in a FTA.