• The Journal of Korean Association of Computer Education
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• v.22 no.1
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• pp.63-78
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• 2019

This study aims to improve User eXperience (UX) of the diagnostic-supplement learning system for Basic academic skills which has been utilized by teachers nationwide since 2015 in order to provide a consistent and systematic support on students' basic academic skills in K-12 school contexts. To achieve the research objective, usability evaluations such as basic questionnaire about UX/UI of the system according to user types, user testing, in-depth interview, expert heuristics were conducted. In addition, user-centered system was suggested through developing and iteratively evaluating the prototypes based on the user requirements drawn from the findings of such quantitative and qualitative usability evaluations. This study has an implication in suggesting the user-friendly design through the UX/UI improvements of the diagnostic-supplement learning system for Basic academic skills.

• Nuclear Engineering and Technology
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• v.52 no.6
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• pp.1188-1200
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• 2020

In this paper, we consider a SDMS (Self-Diagnostic Monitoring System) for a reciprocating pump for the purpose of not only diagnosis but also prognosis. We have replaced a multi class estimator that selects only the most probable one with a multi label estimator such that we are able to see the state of each of the components. We have introduced a measure called certainty so that we are able to represent the symptom and its state. We have built a flow loop for a reciprocating pump system and presented some results. With these changes, we are not only able to detect both the dominant symptom as well as others but also to monitor how the degree of severity of each component changes. About the dominant ones, we found that the overall recognition rate of our algorithm is about 99.7% which is slightly better than that of the former SDMS. Also, we are able to see the trend and to make a base to find prognostics to estimate the remaining useful life. With this we hope that we have gone one step closer to the final goal of prognosis of SDMS.

• The Journal of Internal Korean Medicine
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• v.33 no.1
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• pp.1-13
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• 2012

Background : In oriental medicine, the status of the tongue is an important indicator to diagnose the condition of one's health, such as physiological and the clinicopathological changes of internal organs. A tongue diagnosis is not only convenient but also non-invasive, and therefore widely used in Oriental medicine. However, the tongue diagnosis is greatly affected by examination circumstances, patient's posture, and doctor's diagnosis criteria. Objectives : This study was designed to assure the necessity for standardization of tongue diagnosis based on diagnostic criteria of tongue coating thickness (TCT). Methods : Thirty tongue photographs were acquired and analyzed by digital tongue diagnosis system (DTDS) which measured the percentage of TCT on the tongue surface. Fifteen oriental medical doctors evaluated TCT in 30 photographs. Afterward, the 15 assessors were trained for diagnostic criteria of TCT and evaluated the photographs again. The intraclass correlation coefficient (ICC) was used to obtain the agreement rate among the 15 assessors and the agreement rate between assessors' TCT scores and DTDS values. Results : The agreement rate among the 15 assessors after training was higher than before training. The agreement rate between assessors' TCT scores and DTDS values after training was also higher than before training. Furthermore, the difference of the agreement rate between before and after training was significant (p<0.05). Conclusions : The standardization of diagnostic criteria of TCT increased the agreement rate among the assessors and the agreement rate between assessors' TCT scores and DTDS values. Therefore, the standardization of diagnostic criteria is expected to contribute to the objectification and quantification of the tongue diagnosis system.

• The Journal of Internal Korean Medicine
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• v.35 no.2
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• pp.157-174
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• 2014

Objectives : The aims of this study were to evaluate the diagnostic values of tongue coating thickness and sterno-costal angle as the quantitative diagnostic indicators in functional dyspepsia. Methods : We surveyed 60 functional dyspepsia patients recruited by the clinical trial, 'Clinical Trial for Evaluation on Availability of tongue diagnosis system (CTS-1000) : a Pilot study'. The patients were classified into three groups according to Rome III criteria for functional dyspepsia, and categorized into five groups according to Instrument of pattern identification for functional dyspepsia. Nepean dyspepsia index-Korean version (NDI-K) score, tongue coating thickness (percentage of tongue coating by tongue diagnosis system (CTS-1000), and weight of tongue coating by microbalance), sterno-costal angle, duration of illness and body mass index (BMI) were investigated. Results : Among the 5 types by instrument of pattern identification for functional dyspepsia, a significant difference of percentage of tongue coating was found. Percentage of tongue coating and weight of tongue coating showed significant correlation with total NDI-K score. Sterno-costal angle showed strong positive correlation with BMI and also showed significant difference between the non-overweight (BMI<23, n=32) and overweight ($BMI{\geq}23$, n=28) groups. Conclusions : Tongue coating thickness showed its potential as a new quantitative diagnostic indicator of functional dyspepsia. Further studies on the sterno-costal angle are anticipated to evaluate its potential as a new quantitative diagnostic indicator.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.773-775
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• 2010

Diagnostic X-ray high voltage generator needs high voltage input power when operated, if electric power conditions are not suitable, could not use diagnostic X-ray high voltage generator or could not use normally by abnormal working. If diagnostic X-ray system operated with abnormally by electric power conditions, it cause of difficulty of patient diagnosis. And we used auxiliary power with battery to operate diagnostic X-ray high voltage generator without using normal electric power. We made one device after designing of new electric circuit and we compared normal power X-ray system with battery powered X-ray system by described method in this thesis. And then we found characteristic and efficiency of diagnostic X-ray high voltage generator by different input power condition.

• Nuclear Engineering and Technology
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• v.54 no.10
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• pp.3620-3630
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• 2022

The diagnosis of abnormalities in a nuclear power plant is essential to maintain power plant safety. When an abnormal event occurs, the operator diagnoses the event and selects the appropriate abnormal operating procedures and sub-procedures to implement the necessary measures. To support this, abnormality diagnosis systems using data-driven methods such as artificial neural networks and convolutional neural networks have been developed. However, data-driven models cannot always guarantee an accurate diagnosis because they cannot simulate all possible abnormal events. Therefore, abnormality diagnosis systems should be able to detect their own potential misdiagnosis. This paper proposes a rulebased diagnostic validation algorithm using a previously developed two-stage diagnosis model in abnormal situations. We analyzed the diagnostic results of the sub-procedure stage when the first diagnostic results were inaccurate and derived a rule to filter the inconsistent sub-procedure diagnostic results, which may be inaccurate diagnoses. In a case study, two abnormality diagnosis models were built using gated recurrent units and long short-term memory cells, and consistency checks on the diagnostic results from both models were performed to detect any inconsistencies. Based on this, a re-diagnosis was performed to select the label of the second-best value in the first diagnosis, after which the diagnosis accuracy increased. That is, the model proposed in this study made it possible to detect diagnostic failures by the developed consistency check of the sub-procedure diagnostic results. The consistency check process has the advantage that the operator can review the results and increase the diagnosis success rate by performing additional re-diagnoses. The developed model is expected to have increased applicability as an operator support system in terms of selecting the appropriate AOPs and sub-procedures with re-diagnosis, thereby further increasing abnormal event diagnostic accuracy.

• Parasites, Hosts and Diseases
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• v.51 no.6
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• pp.763-766
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• 2013

A synthetic peptide was prepared based on the antigenic region of Paragonimus westermani pre-procathepsin L, and its applicability for immunodiagnosis for human paragonimiasis (due to Paragonimus heterotremus) was tested using an ELISA to detect IgG4 antibodies in the sera of patients. Sera from other helminthiases, tuberculosis, and healthy volunteers were used as the references. This peptide-based assay system gave sensitivity, specificity, accuracy, and positive and negative predictive values of 100%, 94.6%, 96.2%, 100%, and 88.9%, respectively. Cross reactivity was frequently seen against the sera of fascioliasis (75%) and hookworm infections (50%). Since differential diagnosis between paragonimiasis and fascioliasis can be easily done by clinical presentation and fascioliasis serology, this cross reaction is not a serious problem. Sera from patients with other parasitoses (0-25%) rarely responded to this synthetic antigen. This synthetic peptide antigen seems to be useful for development of a standardized diagnostic system for paragonimiasis.

• The KIPS Transactions:PartB
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• v.9B no.4
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• pp.407-414
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• 2002

Being recently increased interests of our healthcare, a host of symptoms-diagnostic sites has been introduced on the World Wide Web. But conventional healthcare sites provide users with only a very restricted functions. In this paper, we propose the use of Artificial Neural Networks (ANNs) as a flexible symptoms-diagnostic tool that enables learning effects of ANNs (not expert's knowledge) to be incorporated into the diagnostic process. We develop a novel algorithm for predicting patient\`s disease that satisfy user (or expert)-specified symptoms on WWW. Our algorithm provides two important benefits : 1) enables users (patients) to be taken early diagnostic, and 2) enables experts to perform confidently diagnostic by referencing the predicted diseases-list with its respective possibility.

• Journal of KSNVE
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• v.5 no.3
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• pp.353-360
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• 1995

A new automatic diagnostic system for predicting multiple defects in rolling element bearings is developed by taking probbability into account. A database is constructed from the frequency characteristics of tested bearings with various types of defects. The proposed algorithms for the automatic diagnosis of bearing defects are shown to be satisfactory through the experiments. This method can be effectively used for quality control of the rolling bearing in plants.

• 제어로봇시스템학회:학술대회논문집
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• 1987.10b
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• pp.674-679
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• 1987

Process failures can occur at any time during operation, so a continuous effort of fault detection, diagsis, and correction is required. Expert system paridigm has been regarded as a promising approach to real time process supervisory control especially to fault diagnosis. The most important aspects of fault diagnostic expert systems(FDES) are the problem-solving inference strategy and knowledge organizations. The necessity of FDES, the nature of diagnostic knowledge, the representation of knowledge, and the inference mechanism of FDES, et al. are described, which are announced by previous researchers. And the existing FDES are categorized and critically reviewed in this work.