• 제어로봇시스템학회:학술대회논문집
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• 1989.10a
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• pp.805-812
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• 1989

An efficient diagnostic approach for real-time operation aiding expert system in chemical process plants is discussed. The approach is based on the hybrid of the simplified symptom tree(SST) and the fault consequence digraph(FCD), representation of propagation patterns of fault states. The SST generates fault hypothesis efficiently and the FCD resolve the real fault accurately. Frame based knowledge representation and object-oriented programming make diagnostic system general and efficient. Truth maintenance system enables robust pattern matching and provides enhanced explain facilities. A prototype expert system for supports operation of naphtha furnaces process, called OASYS, has been built and tested to demonstrate this methodology. Utilization of diversified process symbolic data, produced using dynamic normal standards, overcomes the problem of qualitative Boolean reasoning and enhance the applicability.

• Nuclear Medicine and Molecular Imaging
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• v.42 no.sup1
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• pp.1-5
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• 2008

Primary brain tumor accounts for 1.4% of entire cancer. For males between the ages of 15 and 34 years, central nervous system tumors account for the leading cause of cancer death. $^{18}F-FDG$ PET has been reported that it can provide important diagnostic information relating to tumor grading and differentiation from non- tumorous condition. In addition, the degree of FDG metabolism carries prognostic significance. By mapping the metabolic pattern of heterogeneous tumors, $^{18}F-FDG$ PET can aid in targeting for stereotactic biopsy by selecting the subregions within the tumor that are most hypermetabolic and potentially have the highest grade. According to clinical research data, FOG PET is expected to be a helpful diagnostic tool in the management of brain tumors.

• Proceedings of the KIEE Conference
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• 1999.11d
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• pp.1019-1021
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• 1999

In this paper, we describe the design and appliance of the preventive diagnostic expert system of gas in oil for power transformer. This expert system is developed to use expert system development tool; Element Expert (NEURON DATA Inc.) Analysis is developed by four diagnose methods. In first, the standard of KEPCO is applied. It classifies the state of transformer by four level: Normal, warning, abnormal and danger. And the others are gas pattern methods, IEC code method, and Dornen & Roger Ratio method and applied later. These latter methods analyse the cause of result. Inference engine was designed with Element Expert. In last, we operate the system with sample data and we can obtain the correctly inferred result for the state of transformer.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.33 no.4
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• pp.360-369
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• 1997

We calculated the residual current forced by buoyancy, wind stress, and tidal stress in the Chinhae Bay using a three-dimensional diagnostic model. The calculated current was also compared with the observation. The flow directs outward from the central area of the Bay in the upper layer, and also forms eddy-shape stucture in the upper and middle layers. The flow of bottom layer shows an opposite pattern compared to those of top and middle layers. The maximum speed was 6.05 em/see (September) and 3.49 cm/sec (November) in the upper layer, and 4.39 cm/sec on both month in the middle layer. The Kinetic energy of November (8.39xlO' W) was larger than that of September (1.24xlO 'W), mainly resulting from larger buoyancy effect in September. In spite of the roughness of the grid size(1 km) and wind date, the calculated flow shows eorrelation(r=0.71) with the observation. We expect that the correlation be increased by increased by adopting the fine grid and the variable coefficients of diffusion and viscosity.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.4
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• pp.347-352
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• 2005

PD(Partial discharges) are small electrical sparks that occur within the electric insulation of cables, transformers and windings on motors. PD analysis is a proactive diagnostic approach that uses PD measurements to evaluate the integrity of this equipment. Recently, several diagnostic algorithms for classifying the type of PD and locating the defect position have been developed. In this work, a new PD recognition system is proposed, which utilizes approximate coefficients of wavelet transform as a feature vector, furthermore, introduces bank of Elman networks to recognize the various PD phenomena. In order to verify the performance of the proposed scheme, it is applied to the simulated PD data.

• Communications for Statistical Applications and Methods
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• v.23 no.3
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• pp.231-239
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• 2016

A graphical diagnostic method based on multiple case deletions in a regression context is introduced by using the sampling distribution of the difference between two least squares estimators with and without multiple cases. Principal components analysis plays a key role in deriving this diagnostic method. Multiple case deletions of test statistic are also considered when a new observation is fitted to a given regression model. The result is useful for detecting influential observations in econometric data analysis, for example in checking whether the consumption pattern at a later time is the same as the one found before or not, as well as for investigating the influence of cases in the usual regression model. An illustrative example is given.

• Journal of Digestive Cancer Research
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• v.10 no.2
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• pp.56-64
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• 2022

Narrow-band imaging (NBI) is the most widely used image-enhanced endoscopic technique. The superficial microanatomy of gastric mucosa can be visualized when used with a magnifying endoscopy with narrow-band imaging (ME-NBI). The diagnostic criteria for early gastric cancer (EGC), using the classification system for microvascular and microsurface pattern of ME-NBI, have been developed, and their usefulness has been proven in the differential diagnosis of small depressed cancer from focal gastritis and in lateral extent delineation of EGC. Some studies reported on the prediction of histologic differentiation and invasion depth of gastric cancer using ME-NBI; however, its application is limited in clinical practice, and further well-designed studies are necessary. Clinicians should understand the ME-NBI classification system and acquire appropriate diagnostic skills through various experiences and training to improve the quality of endoscopy for EGC diagnosis.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.32 no.4
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• pp.29-40
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• 2019

Objectives : Hwanglyeonhaedok-tang(黃連解毒湯) is a representative herbal formula with "clear heat(淸熱)" effects. The aim of this study was to evaluate the effects of Hwanglyeonhaedok-tang-based intranasal herbal ointment Biyeom-go based on the cold and heat pattern identification questionnaire(CHPIQ). Methods : We performed a subgroup analysis of the previously published prospective observational study. A total of 58 patients with rhinitis were administered Biyeom-go for 4 weeks, and its effects on the Total Nasal Symptom Score(TNSS), Mini Rhinoconjunctivitis Quality of Life Questionnaire(Mini-RQLQ) score, and nasal endoscopy index score were analyzed based on CHPIQ. Results : Among the 58 patients, the heat and non-heat patterns were shown by 39 and 19 patients, respectively, while the cold and non-cold patterns were shown by 46 and 12 patients, respectively. The change in TNSS from baseline negatively correlated with the heat pattern score(p=0.011). Improvement in TNSS was greater in the heat pattern group than in the non-heat pattern group, with a borderline significant difference(p=0.07). Mini-RQLQ and nasal endoscopy index scores tended to be lower in the heat pattern group than in the non-heat pattern group, but without a statistically significant difference. Conclusion : The findings indicate that CHPIQ is a useful tool for the diagnostic and prognostic evaluation of patients with rhinitis. This study provides fundamental evidence of the close association between the cold-heat pattern in patients with rhinitis and the treatment effects of Biyeom-go.

• Journal of Institute of Control, Robotics and Systems
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• v.3 no.5
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• pp.520-525
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• 1997

This paper presents a fault detection and diagnosis methodology based on weighted symptom model and pattern matching between the coming fault propagation trend and the simulated one. In the first step, backward chaining is used to find the possible cause candidates for the faults. The weighted symptom model is used to generate those candidates. The weight is determined from dynamic simulation. Using WSM, the methodology can generate the cause candidates and rank them according to the probability. Second, the fault propagation trends identified from the partial or complete sequence of measurements are compared with the standard fault propagation trends stored a priori. A pattern matching algorithm based on a number of triangular episodes is used to effectively match those trends. The standard trends have been generated using dynamic simulation and stored a priori. The proposed methodology has been illustrated using two case studies, and the results showed satisfactory diagnostic resolution.

• Journal of Oriental Neuropsychiatry
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• v.22 no.1
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• pp.25-35
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• 2011

Objectives : This case series was conducted to report the efficacy of traditional Korean medicine treatments for Hwa-Byung. Methods : Patients were diagnosed with Hwa-byung through Hwa-Byung diagnostic interview schedule(HBDIS). instrument of pattern identification for Hwa-Byung was applied to develop an individualized traditional Korean medicine treatment plan. SCL-90-R, STAI, STAXI, BDI, and instrument of oriental medical evaluation for Hwa-Byung were measured. After 2 weeks of tradiational Korean medicine treatments and K-MBSR practice, STAI, STAXI, BDI, and instrument of oriental medical evaluation for Hwa-Byung were re-assessed to determine the progress of Hwa-Byung. Results : After treatments, chief complaints have improved. STAI, STAXI, BDI and instrument of oriental medical evaluation for Hwa-Byung score have decreased. Conclusions : According to the study, traditional Korean medicine treatments using instrument of pattern identification for Hwa-Byung have shown positive results in managing Hwa-Byung symptoms evaluated by instrument of oriental medical evaluation for Hwa-Byung.