• Journal of Korean Society for Quality Management
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• v.20 no.1
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• pp.91-100
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• 1992

A diagnosis system for naphtha reforming process has been designed and implemented using expert system building technique. The system is composed of knowledge base, inference engine, user interface, database and database interface. The concept and the method of this system may be applied to development of other systems for the reforming process.

• Journal of the Korean housing association
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• v.26 no.6
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• pp.169-180
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• 2015

This study was carried out to offer direction to the Housing Management Support Center in terms of its key features and specific operational tasks. The research involved the property management office (n=35) and Resident Representatives of the apartment blocks (n=52). Advisory Services conducted a consumer survey, as well as a survey of expert interviews (n=15). Survey results were as follows: (1) the Managing Director and secretary residents were satisfied with the Diagnosis and Advisory services; (2) the administrative support services need to address housing issues, including a long-term repair plan and advice on using long-term repair reserves and "conflict resolution associated with public housing management"; and (3) there was a greater need for a "basic, common-sense Housing Management Information Base to provide services to the Resident Representatives of the apartment blocks". Based on the survey results, the main roles of the Housing Management Support Center are to act as a House of Commons Administrator to handle complaints with counseling, diagnosis and advice; to support the Resident Committees; to provide professional training, research, and investigation; to support community revitalization; to manage the business of guidance and inspection; to coordinate conflicts and disputes; to build a comprehensive source of information; and to build networks.

• Korean Journal of Acupuncture
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• v.40 no.2
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• pp.44-53
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• 2023

Objectives : This study was conducted to reveal the relationship between multiple factors of traditional Korean Medicine diagnosis and consider the further probabilities of treating people with physical and mental problems not defined as diseases, which is called 'Mibyeong' in traditional Korean Medicine. Methods : 40 healthy participants were included in the observational clinical trial. The participants were asked to complete health questionnaires (e.g. State-Trait Anxiety Inventory, Pittsburgh Sleep Quality Index, Stress Response Inventory) and they went through a traditional diagnosis process, including four stages of diagnosis (looking, listening/smelling, inquiring, and pulse taking), by a Korean Medicine doctor. Both the Korean Medicine doctor and an artery tonometry device performed the pulse diagnosis. Results : Although all participants were healthy people with no history of disease, more than half of participants had a problem related with severe level of fatigue (n=19), sleep disturbance (n=26) and stress (n=27) status according to the related questionnaires. Participants diagnosed with phlegm syndrome by the Korean Medicine doctor showed significantly greater score in phlegm pattern questionnaires than participants who were not. However, there was little agreement between the doctor's pulse diagnosis and radial artery tonometry results. Conclusions : We conducted a pulse diagnosis and measured health-related information along with the traditional Korean Medicine diagnose procedure, including four stages of diagnosis, and we found a linkage between diagnosis of phlegm and the phlegm pattern questionnaire score. The results suggest that a number of healthy participants, with no disease diagnosed, have Mibyoung symptoms which need further clinical management. Thus, we suggest that Mibyoung management programs based on qualified diagnosis tools and traditional Korean medicine diagnosis procedures be developed, and that future research using various diagnostic tools be carried out on a large population.

• Journal of the Korea Society of Computer and Information
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• v.27 no.12
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• pp.189-195
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• 2022

The Korean government has made it a major national task to contribute to the revitalization of the creative economy, such as creating new industries and jobs, by encouraging the private opening and utilization of public data. The Korean government is promoting public data quality improvement through activities such as conducting public data quality management level evaluation for high-quality public data retention. However, there is a difference in diagnosis results depending on the understanding and data expertise of users of the public data quality diagnosis tool. Therefore, it is difficult to ensure the accuracy of the diagnosis results. This paper proposes a public data quality management level evaluation domain rule mapping model applicable to validation diagnosis among the data quality diagnosis standards. This increases the stability and accuracy of public data quality diagnosis.

• Journal of the Korea Safety Management & Science
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• v.2 no.4
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• pp.59-70
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• 2000

To keep enterprise's competitiveness on condition of the automatic manufacturing system such as FA, FMS and CIM, all the maintenance problems should be considered seriously in not only production and maintenance but also related industrial safety. As we analyze in the surveys for the maintenance management of domestic enterprises and the causes of Industrial accident, there will be necessity of drawing up countermeasures for prevention of industrial accidents and for ensuring expertise maintenance technologies. Based on these analyses, this study studied the safety information system, maintenance management information system, and the machinery condition diagnosis technique by using of the knowledge-based system under the internet environment. This web based knowledge-based diagnosis system can easily provide not only the knowledge of expert about deterioration phenomenon of industrial robot, but also the knowledge of relating safety and facility on everywhere, everytime. Therefore, when we use this system, it is expected to improve the efficiency of business processes in the production and safety.

• Proceedings of the Safety Management and Science Conference
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• 2000.11a
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• pp.269-279
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• 2000

To keep enterprise's competitiveness on condition of the automatic manufacturing system such as FA, FMS and CIM, all the maintenance problems should be considered seriously in not only production and maintenance but also related Industrial safety. As we analyze in the surveys for the maintenance management of domestic enterprises and the causes of industrial accident, there will be necessity of drawing up countermeasures for prevention of industrial accidents and for ensuring expertise maintenance technologies. Based on these analyses, this study studied the safety information system, maintenance management information system, and the machinery condition diagnosis technique by using of the knowledge-based system under the internet environment. This web based knowledge-based diagnosis system can easily provide not only the knowledge of expert about deterioration phenomenon of industrial robot, but also the knowledge of relating safety and facility on everywhere, everytime. Therefore, when we use this system, it is expected to improve the efficiency of business processes in the production and safety.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.50 no.1
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• pp.3-12
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• 2024

Chyle leaks are uncommon complications after head and neck surgeries. Although uncommon, such a complication is noteworthy mention due to its perplexing diagnosis and management strategies. This scoping review aims to highlight and emphasize the diagnosis and management options proposed in the literature. A comprehensive search was performed in PubMed, Google Scholar, Cochrane Library, and Scopus databases and identified 617 articles that were reduced to 40 studies and reports after applying the eligibility criteria. Although numerous treatment options ranging from simple, conservative measures to invasive surgical procedures have been mentioned for low-output, high-output, and massive leaks, there is no concrete evidence on the best method. Thus, a combination of management options must be customized by case for optimum results.

• The Korean Journal of Health Service Management
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• v.11 no.3
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• pp.23-35
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• 2017

Objectives : This study analyzed the trends of patient costs in 7diagnosis-related groups(DRG) since July 2013 when the government made it mandatory for all hospitals and clinics. Methods : Data were collected from the 7DRG score chart published by the Ministry of Health and Welfare(MoHW) from July 2013 to January 2017. The average value of the weekday relative value scale was multiplied by unit price, referred to as'- "patient costs by disease group"-' and they were analyzed by time series. Results : Patient costs had increased among all patients with a comprehensive disease. Small and medium-sized hospitals (hospitals and clinics) showed a slight increase in patient costs. Conclusions : Enforcement of the Korean diagnosis-related groups has led to management crisis in small and medium-sized hospitals and deterioration medical service quality. To solve this problem, The weekday relative value scale of small and medium-sized hospitals should be increased significantly.

• Journal of Korean Society for Quality Management
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• v.47 no.4
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• pp.783-793
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• 2019

Purpose: The purpose of this study is to apply the machine and deep learning methodology on error terms which are continuously auto-generated on the sensors with specific time period and prove the improvement effects of power generator prediction diagnosis system by comparing detection ability. Methods: The SVM(Support Vector Machine) and MLP(Multi Layer Perception) learning procedures were applied for predicting the target values and sequentially producing the error terms for confirming the detection improvement effects of suggested application. For checking the effectiveness of suggested procedures, several detection methodologies such as Cusum and EWMA were used for the comparison. Results: The statistical analysis result shows that without noticing the sequential trivial changes on current diagnosis system, suggested approach based on the error term diagnosis is sensing the changes in the very early stages. Conclusion: Using pattern of error terms as a diagnosis tool for the safety control process with SVM and MLP learning procedure, unusual symptoms could be detected earlier than current prediction system. By combining the suggested error term management methodology with current process seems to be meaningful for sustainable safety condition by early detecting the symptoms.

• Journal of Electrical Engineering and Technology
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• v.1 no.1
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• pp.28-34
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• 2006

Recently, in accordance with the development of IT technology, it is prevalent for power quality monitors to be connected to each other via networks and share their data because such networks provide system-wide insights to customers concerning power quality. Those systems can alarm and display power quality events for the convenience of customers. However, if a power quality event occurs, it is difficult for customers to determine its cause and solution because the systems do not provide appropriate power quality diagnosis functions. The power quality management system presented in this paper has been developed to provide customers with various power quality diagnosis functions so that they can cope well with power quality problems with the right measure in the right place. This paper presents the structure and functions of the developed power quality management system and shows some results of the power diagnosis functions.