• Journal of Physiology & Pathology in Korean Medicine
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• v.24 no.6
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• pp.1111-1116
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• 2010

We in this paper design and implement a traditional korean medicine diagnosis system based on basic ontology. If doctors put the symptoms or tongues or pulses of a patient in the diagnosis system, they can be recommended for the diagnosis results. To support the doctors decision, the diagnosis system make the inference based on the basic ontology and compute the similarity between symptoms of patient and those of ontology. The diagnosis systems also provide the learning mechanism about diagnosis results which save the results in the ontology and reuse them in the next diagnosis. Thus, doctors can share their knowledge for the diagnosis by exchanging their ontology each other. In future, we will expand the knowledge of the basic ontology continuously so that doctors can get the more accurate diagnosis results. We also implement the prescription function and integrate it to the diagnosis system.

• Journal of Physiology & Pathology in Korean Medicine
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• v.20 no.3
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• pp.740-747
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• 2006

This study was undertaken to clinically inspect the accuracy of DSOM-diagnosis System of Oriental Medicine, which were used for the object diagnosis of oriental medicine in the dept. of oriental OB&GY, oriental medical hospital of Dong-Eui University- about uterus myoma patients. We analyzed the prescription and consequence of diagnosis about 16 patients -who had uterus myoma, were treated more than one month, were improved in myoma size, dysmenorrhea, menorrhagia- in the oriental medical hospital of Dong-Eui University from January to December 2004. The calculation consequence of disease mechanism was as follows. The stagnation of Ki(氣滯), liver(肝), heart.(心) was 10 patients 71.4%, some deficiency(虛證), wet syndrome(濕), cold syndrome(寒) was 9 patients 64.3%, blood stasis(血奈) was 8 patients 57.1%. The agreement of consequence about DSOM and diagnosis was 13 patients, 92.9%.

• Nuclear Engineering and Technology
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• v.50 no.8
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• pp.1306-1313
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• 2018

The randomness and incipient nature of certain faults in reactor systems warrant a robust and dynamic detection mechanism. Existing models and methods for fault diagnosis using different mathematical/statistical inferences lack incipient and novel faults detection capability. To this end, we propose a fault diagnosis method that utilizes the flexibility of data-driven Support Vector Machine (SVM) for component-level fault diagnosis. The technique integrates separately-built, separately-trained, specialized SVM modules capable of component-level fault diagnosis into a coherent intelligent system, with each SVM module monitoring sub-units of the reactor coolant system. To evaluate the model, marginal faults selected from the failure mode and effect analysis (FMEA) are simulated in the steam generator and pressure boundary of the Chinese CNP300 PWR (Qinshan I NPP) reactor coolant system, using a best-estimate thermal-hydraulic code, RELAP5/SCDAP Mod4.0. Multiclass SVM model is trained with component level parameters that represent the steady state and selected faults in the components. For optimization purposes, we considered and compared the performances of different multiclass models in MATLAB, using different coding matrices, as well as different kernel functions on the representative data derived from the simulation of Qinshan I NPP. An optimum predictive model - the Error Correcting Output Code (ECOC) with TenaryComplete coding matrix - was obtained from experiments, and utilized to diagnose the incipient faults. Some of the important diagnostic results and heuristic model evaluation methods are presented in this paper.

• Journal of Trauma and Injury
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• v.22 no.2
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• pp.212-217
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• 2009

Purpose: To analyze delayed diagnosis, we collected date on pediatric and adolescent patients who had been admitted to the Emergency Department with injuries due to minor trauma Methods: We retrospectively analyzed the age distribution, trauma mechanism, time interval for each affected body region at delayed diagnosis, hospital stay, and outcome for 161 pediatric and adolescent patients who had been admitted to the Emergent Department of Gachon University Gil Hospital from January 2006 to September 2008. Results: The incidence of delayed diagnosis in pediatric and adolescent trauma was 11.8% in our retrospective review of 161 pediatric and adolescent patients. Lengths of hospitalization were longer in patients with delayed diagnosis (p<0.05). Patients with delayed diagnosis were more often transferred to other hospitals than patients with non-delayed diagnosis (p<0.05). The time intervals for each different affected body regions at delayed diagnosis were significantly different, but the hospital stays were not. There were no statistical significance to age on affected body region. Conclusion: From this study, we found that admission result and hospital stay were statistically significant differences between the delayed-diagnosis patient group and the non-delayed-diagnosis patient group. Finally, we must follow up pediatric and adolescent patients with minor trauma, closely considering missed injuries.

• Proceedings of the Korean Society For Composite Materials Conference
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• 2003.04a
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• pp.27-30
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• 2003

In order to apply fracture detection we fabricated the CP-FRP using carbon-powder and analyzed conductive mechanism of it. The composites showed lower initial resistance as the carbon powder and amount of glass fiber(TEX) was used much more. When those are compared with each other that before and after bending test, the more cracks observed in matrix after bending test. We become to know that the conductivity of the composites depends on percolation structure of carbon powder.

• Journal of Institute of Control, Robotics and Systems
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• v.4 no.2
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• pp.264-272
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• 1998

This paper proposes a fault detection and recovery mechanism for a fault-tolerant Mini-MAP system, and provides detailed techniques for its implementation. This paper considers the fault-tolerant Mini-MAP system which has dual layer structure from the LLC sublayer down to the physical layer to cope with the faults of those layers. For a good fault detection, a redundant and hierarchical fault supervision architecture is proposed and its implementation technique for a stable detection operation is provided. Information for the fault location is provided from data reported with a fault detection and obtained by an additional network diagnosis. The faults are recovered by the stand-by sparing method applied for a dual network composed of two equivalent networks. A network switch mechanism is proposed to achieve a reliable and stable network function. A fault-tolerant Mini-MAP system is implemented by applying the proposed fault detection and recovery mechanism.

• Journal of the Korea institute for structural maintenance and inspection
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• v.15 no.5
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• pp.160-168
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• 2011

As importance of the field of maintenance and management come to the fore because of collapses of the Seongsu bridge and the Sampoong department store, "Special Act for the Safety Control of Public Structures" was established in 1995 and the major maintenance and management system began taking effect "Detailed inspection and Precision safety diagnosis". However, a technical standard of "Detailed inspection and Precision safety diagnosis" was low because its history was not long, and also the results of research were not enough so anxiety for "Insufficient Detailed inspection and Precision safety diagnosis" was continuously left. While its evaluation system introduced in 2002, the ratio of "Insufficient Detailed inspection and Precision safety diagnosis" has been getting lower. However, according to the evaluation result after carrying out "Detailed inspection and Precision safety diagnosis" recently, it seems difficult to become lower for the ratio of "Insufficient Detailed inspection and Precision safety diagnosis" in future. Therefore, it is considered of questionary survey of the concerned organization and the mechanism side in connection with "Insufficient Detailed inspection and Precision safety diagnosis". So it is arranged the fundamental problems caused by an "Insufficient Detailed inspection and Precision safety diagnosis" that is to show the improving direction of the existing evaluation system in a based on this.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.17 no.2
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• pp.90-111
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• 2013

Objectives Migratory pathogenic factor(六淫) occupies an important position in the etiology of Korean Medicine. This paper shows how Dampness, one of Migratory pathogenic factor(六淫), is explained in Donguibogam(東醫寶鑑). And, based on this, we will figure out how to make a judgement of Dampness through diagnosis. Method 1. Collect parts of Dampness mentioned in Donguibogam(東醫寶鑑). 2. From the collection, extract contents about mechanism and symptom of Dampness, which is considered necessary for diagnosis. 3. Put all the extraction together, suggest the diagnosis element which can be criteria of judgement of Dampness through diagnosis. Result & Conclusions The occurrence of Dampness come from a wet climate and environment externally, and overeating of greasy food and digestive disorder internally. There are many different kinds of symptoms throughout the body cause of poor circulation. Dampness is classed as Cold-dampness, Damp-heat, and Dampness-phlegm depending on characteristic symptoms, and mainly shows musculoskeletal disease and digestive troubles. Typical symptoms are pitting edema, distention and fullness, moderate and thready pulse, volume of perspiration increase, loose feces, urine volume decrease, pain of joint and muscle, restriction of movement, etc.

• The Journal of Information Technology
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• v.2 no.2
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• pp.13-22
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• 1999

In this paper, we purpose automatic diagnosis in online, as the fundamental study to diagnose the partial discharge mechanism and to predict the lifetime by introduction a neural network. In the proposed method, we use AE(acoustic emission) sensing system and calculate a quantitative statistic parameter by pulse number and amplitude. Using statically parameters such as the center of gravity(G) and the gradient if the discharge distribute(C), we analyzed the early stage and the middle stage. the quantitative statistic parameters are learned by a neural network. The diagnosis of insulation degradation and a lifetime prediction by the early stage time are achieved. On the basis of revealed excellent diagnosis ability through the neural network learning for the patterns during degradation, it was proved that the neural network is appropriate for degradation diagnosis and lifetime prediction in partial discharge.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.32 no.3
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• pp.85-92
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• 2021

Attention-deficit/hyperactivity disorder (ADHD) leads to functional decline in academic performance, interpersonal relationships, and development in school-aged children. Early diagnosis and appropriate intervention can significantly reduce the functional decline caused by ADHD. Currently, there is no established biological marker for ADHD. Some studies have suggested that various indicators from the quantitative electroencephalogram (QEEG) may be useful biological markers for the diagnosis of ADHD. Until the 2010s, theta/beta ratio (TBR) was a biomarker candidate for ADHD that consistently showed high diagnostic value. However, limitations of TBR have recently been reported. Studies have demonstrated that phase-amplitude coupling, especially theta phase-gamma amplitude coupling, are related to cognitive dysfunction and may assist in the diagnosis of ADHD. As yet, the underlying mechanism is not clearly established, and the clinical efficacy of these biomarkers needs to be proven through well-controlled studies. Based on the heterogeneous characteristics of ADHD, subgrouping through QEEG plays a key role in diagnosis and treatment planning. Sophisticated, well-designed studies and meta-analyses are necessary to confirm these findings.