• Journal of the Korea Society of Computer and Information
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• v.23 no.12
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• pp.131-136
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• 2018

This paper proposes a computer-aided diagnostic algorithm in a non-invasive way. Currently, clinical diagnosis of jaundice is performed through blood sampling. Unlike the old methods, the non-invasive method will enable parents to measure newborns' jaundice by only using their mobile phones. The proposed algorithm enables high accuracy and quick diagnosis through machine learning. In here, we used the SVM model of machine learning that learned the feature extracted through image preprocessing and we used the international jaundice research data as the test data set. As a result of applying our developed algorithm, it took about 5 seconds to diagnose jaundice and it showed a 93.4% prediction accuracy. The software is real-time diagnosed and it minimizes the infant's pain by non-invasive method and parents can easily and temporarily diagnose newborns' jaundice. In the future, we aim to use the jaundice photograph of the newborn babies' data as our test data set for more accurate results.

• Journal of the Korean neurological association
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• v.36 no.4
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• pp.273-279
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• 2018

Multiple sclerosis (MS) is a diagnosis of exclusion and the lesions or objective findings should disseminate in space and time to diagnose MS. The diagnostic criteria of MS have continuously evolved overtime. The McDonald criteria were originally proposed in 2001, and the revised 2010 McDonald criteria have been used widely. Scientific advances in the past 7 years since 2010 induced the revised 2017 McDonald criteria. All revisions relied entirely on the available evidences, and not expert opinion. In this review, we will provide an overview of the way to diagnose MS and the 2017 McDonald criteria.

• Journal of Electrodiagnosis and Neuromuscular Diseases
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• v.20 no.2
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• pp.77-83
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• 2018

Small fiber neuropathy (SFN) mainly affects thinly myelinated $A{\delta}$-fibers and unmyelinated C-fibers presented with neuropathic pain like burning feet or numbness. Many conditions are known as a causes of SFN, metabolic derangement, especially glucose intolerance, is the most frequent cause of SFN. It has been hard to diagnose SFN because there has been lack of specialized test for small nerve fiber. Quantification of intraepidermal nerve fiber density using skin biopsy is promising method to diagnose SFN. A skin biopsy also could give helps to research pathophysiology of SFN by specialized stain method.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.165-170
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• 2021

Discrete event systems interact with the external environment to decide which action plan is adequate. Some of these interactions are not predictable in the modelling phase and require consequently an adaptation of the system to the metamorphosed behavior of the environment. One of the challenging issues is to guarantee safety behavior when failures tend to derive the system from normal status. In this paper we propose a framework to combine diagnose technique with adaptive control to avoid unsafe sate an maintain the normal behavior as long as possible.

• Journal of the Ergonomics Society of Korea
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• v.6 no.1
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• pp.9-24
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• 1987

The design and philosophy are presented for an intelligent aid for a hyman operator who must diagnose a novel fault in a physical system. A novel fault is defined as one that the operator has not experienced in either real system operation or training. When the operator must diagnose a novel fault, deep reasoning about the behavior of the system components is required. To aid the human operator in this situation, four aiding approaches which provide useful information are proposed. The aiding information is generated by a qualitative, component-level model of the physical system. Both the aid and the human are able to reason causally about the system in a cooperative search for a diagnosis. The aiding features were designed to help the hyman's use of his/her mental model in predicting the normal system behavior, integrating the observations into the actual system behavior, or finding discrepancies between the two. The aid can also have direct access to the operator's hypotheses and run a hypothetical system model. The different aiding approaches will be evaluated by a series of experiments.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2020.06a
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• pp.167-168
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• 2020

In this study, we attempted to present a method for diagnosing the depth of the early frost damage concrete using organic pigments under the cold weather. As a result, it is considered that the organic pigment did not penetrate into the voids of the concrete that had been damaged by the early frost damage and only the surface was adhered. Therefore, when fine particles that can be melted in water and pass through voids are used, it is analyzed that it can penetrate damaged part of the concrete.

• Journal of Sasang Constitutional Medicine
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• v.13 no.3
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• pp.151-154
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• 2001

Mangeum-disease is important syndrome in soyangin's pathology taking urgent diarrhea. In this case study, we diagnose one patient as mangeum-disease. She had a cold before and took a medical treatment with antibiotics. During the treatment she had a diarrhea, palpitation, arrhythmia and edema. We diagnose it as mangeum-disease. So we dose her with hyungbangjihwangtang and we had a good result-all symptoms are disappeared in two months.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.539-541
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• 2023

COVID-19 is a viral pandemic disease that spreads widely all around the world. The only way to identify COVID-19 patients at an early stage is to stop the spread of the virus. Different approaches are used to diagnose, such as RT-PCR, Chest X-rays, and CT images. However, these are time-consuming and require a specialized lab. Therefore, there is a need to develop a time-efficient diagnosis method to detect COVID-19 patients. The proposed machine learning (ML) approach predicts the presence of coronavirus based on clinical symptoms. The clinical dataset is collected from the Israeli Ministry of Health. We used different ML classifiers (i.e., XGB, DT, RF, and NB) to diagnose COVID-19. Later, classifiers are optimized with the Bayesian hyperparameter optimization approach to improve the performance. The optimized RF outperformed the others and achieved an accuracy of 97.62% on the testing data that help the early diagnosis of COVID-19 patients.

• Structural Engineering and Mechanics
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• v.88 no.6
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• pp.569-581
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• 2023

This paper introduces a system to detect and diagnose anomalies in pumped storage hydropower plants. We collect data from various types of sensors, including those monitoring temperature, vibration, and power. The data are classified according to the operation modes (pump and turbine operation modes) and normalized to remove the influence of the external environment. To detect anomalies and diagnose their types, we adopt a multivariate normal distribution analysis by learning the distribution of the normal data. The feasibility of the proposed system is evaluated using actual monitoring data of a pumped storage hydropower plant. The proposed system can be used to implement condition monitoring systems for other plants through modifications.

• Journal of Radiation Industry
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• v.17 no.4
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• pp.405-409
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• 2023

The magnetic resonance imaging method is a technology that can diagnose patients using local magnetic field through local magnetic field through local magnetic field through local magnetic field and STEAM method using local magnetic field Currently, many diseases can diagnose many diseases using self-resonance methods. The purpose of this study is to provide optimal information about using magnetic resonance imaging method according to patients.In many studies, self-resonance imaging showed that self-resonance methods can effectively inspect brain cancer and liver diseases. mong them, this study, brain tumor tests, cervical cancer tests based on literature, there were effective parts of these four diseases, but it was clearly found that they should not use in clinical trials, but it is clearly found to improve and improve and improve. Therefore, it is believed that it will be based on the future studies.