• Proceedings of the IEEK Conference
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• 2002.06e
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• pp.269-272
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• 2002

In this study, we designed the expert system for the diagnosis of stroke. The causes of stroke in central nervous systems are very diverse, so a doctor who treats the patients with stroke must have the expert knowledge for the quick and correct diagnosis and for the adequate medical management. But the primary physician who engaged in the primary care of the patient with stroke does not have the export knowledge for the stroke. So, we need to develop the expert system for assisting the diagnosis of stroke. Also the diagnosis system can be used as simulator for the medical students who study the neurology. In this study, we developed the diagnosis expert system that offer a pathological name provided by artificial neural networks. And we designed the inference engine and interfaces. The artificial neural network is a system that provide a possible diagnosis of stroke. We implemented the system using Windows2000 Server, IIS5.0 and ASP.

• Journal of Korean Institute of Industrial Engineers
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• v.33 no.4
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• pp.480-486
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• 2007

A gait diagnosis supporting system is necessary to evaluate the characteristics of abnormal gait of a patient in a systematic and efficient manner. The present study developed a gait diagnosis supporting system which compares abnormal gait of a patient with a reference gait data and presents abnormal gait characteristics in an organized form. Three types of diagnosis modules were developed for the spatio-temporal, kinematic and kinetic gait parameters, and a gait data for Korean normal adults was used for the reference data of the system. The system was applied to evaluate the gait pattern of three arthritis patients and the abnormal gait characteristics of them could be easily identified with a systematic and graphical presentation.

• Research in Plant Disease
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• v.30 no.1
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• pp.99-102
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• 2024

Integrated pest management is essential for controlling plant diseases that reduce crop yields. Rapid diagnosis is crucial for effective management in the event of an outbreak to identify the cause and minimize damage. Diagnosis methods range from indirect visual observation, which can be subjective and inaccurate, to machine learning and deep learning predictions that may suffer from biased data. Direct molecular-based methods, while accurate, are complex and time-consuming. However, the development of large multimodal models, like GPT-4, combines image recognition with natural language processing for more accurate diagnostic information. This study introduces GPT-4-based system for diagnosing plant diseases utilizing a detailed knowledge base with 1,420 host plants, 2,462 pathogens, and 37,467 pesticide instances from the official plant disease and pesticide registries of Korea. The AI plant doctor offers interactive advice on diagnosis, control methods, and pesticide use for diseases in Korea and is accessible at https://pdoc.scnu.ac.kr/.

• Health Policy and Management
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• v.3 no.2
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• pp.100-129
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• 1993

This study is designed to find out some intra-clinic factors affecting the content of practice provided by primary care physicians in Korea, and proposed factors in this study are characteristcs of each private clinc --- physician-related variables(age, sex, specialty), bfed-related variables for inpatient care, laboratory-related variables for precise diagnosis. We have tried to estimate the difference of disease entities cared by each primary care physician according to above factors by analyzin gdisease data claimed during one month(April, 1992) to National Federation of Medical Insurance. The diagnosis codes by ICD-9 in the research disease data were reclassified to 'diagnosis clusters' by virtue of clinical similarities for effective analyses. We have converted frequent-tsing ICD-9 codes to 86 diagnosis clusters, which incorporated 97.4 percents of all ambulatory visits to private clinics. This result means proposed diagnosis-cluster method is effective tool for analysis of the content of ambulatory medical care carried out by primary care physicians. Comparisons and analyses of multiple diagnosis-clusters made on the basis of presented factors were done and the results were as follows; - Major factors affecting the difference between diagnosis-cluster pattern by each variables were phyusician's age, sex, specialty and bed counts of each private clinic for inpatient care and the size of laboratories of each clinic. - Middle aged(30th to 40th) group physicians are providing more comprehensive care than 20th or above 50th aged groups. Male physicians are more adequate for comprehensive care than female physicians, because woman-doctors are providing narrow-spectrum care. The content of practice of obstetricians and gynecologists shows much difference from primary medical practice, and they cannot be included in primary care physician, this study suggested. Pediatricians are also providing short-spectum acre, and nearly all visits to pediatricians were incorporated only 2-3 diagnosis-clusters. General surgeons' practices are very similar to general practioners' or family physicians' practices, the means they are providing primary care rather than special surgical care. And small number of beds(under 5 beds) and only basic(2-3 sorts of)diagnostic apparatuses are sufficient for primary physicians' clinic to carry out primary care. In conclusion, to reinforce primary care department in Korea, there must be support with health policy to expand office-based primary care practice-- with small number of beds for inpatient care and only basic laboratories-- provided by general practitioner of family physician.

• Journal of the Korean Society of Industry Convergence
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• v.23 no.5
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• pp.825-833
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• 2020

Currently, the K-Water uses various valves that can be remotely controlled for optimal water management. Valve system fault can be classified into rotor defects, stator defects, bearing defects, and gear defects of induction motors. If the valve cannot be operated due to a gear fault, the water management operation can be greatly affected. For effective water management, there is an urgent need for preemptive repairs to determine whether gear is damaged through failure prediction diagnosis.. Recently, deep learning algorithms are being applied for valve failure diagnosis. However, the method currently applied has a disadvantage of attaching a vibration sensor to the valve. In this paper, propose a new algorithm to determine whether a fault exists using a convolutional neural network (CNN) based on the voltage and current information of the valve without additional sensor mounting. In particular, a normalized Lisasjous diagram was used to maximize the fault classification performance in the CNN-based diagnostic system.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.1
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• pp.59-64
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• 2016

This paper aims at the prototype-making of the intelligent switchgear with arc fault diagnosis function required to prevent the electrical fire. The main control unit of the intelligent switchgear consists of a single-phase power management device and a arc fault diagnosis device. The prototype of the single-phase power management device and the prototype of the arc fault diagnosis device in this paper. In the device, the cooperation function with the arc fault diagnosis device is developed to transmit the cause of the electrical fire to the remote server system.

• Journal of the Korean Operations Research and Management Science Society
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• v.37 no.3
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• pp.23-37
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• 2012

As Customer Relationship Management (CRM) strategy is becoming a core competence more recently, many companies want a reliable CRM assessment system which enables measuring and diagnosing corporate customer strategies for building an optimized CRM strategy. However, there has been short of researches on developing the CRM diagnosis methodology that is directly applicable to real practices. Drawing upon the theoretical framework of CRM scorecard, we developed and suggested a corporate CRM diagnosis methodology that can systematically understand and assess the corporate CRM capability and performance, guiding their future directions. Companies can search the important but weak areas among various CRM strategy subjects through the proposed diagnostic procedures. This framework has a hierarchical structure that has four evaluative domains each of which has several evaluative subjects consisting of many evaluative themes: the score of upper factor is the weighted average of its subordinate factor scores. And the score of each evaluative theme is the weighted average of quantitative and qualitative evaluative indexes. Quantitative indexes are calculated by analyzing customer and sales data and qualitative ones are derived from survey data. Each evaluative index has more than one measure and its score can be derived from its own formula consisting of the measures. To prove the concept, we applied this framework to a real company and concluded that it might be appropriate to understand the corporate CRM strategy situation, find the pain points, and resolve them for better CRM implementation.

• Journal of the Korea Safety Management & Science
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• v.6 no.3
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• pp.237-247
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• 2004

The condition of the manufacturing process in a factory should be diagnosed and maintained efficiently because any unexpected disorder in the process will be reason to decrease the efficiency of the overall system. However, if an expert experienced in this system leaves, there will be a problem for the efficient process diagnosis and maintenance, because disorder diagnosis within the process is normally dependent on the expert's experience. This paper suggests a process diagnosis using data mining based on the collected data from the coil-spring manufacturing process. The rules are generated for the relations between the attributes of the process and the output class of the product using a decision tree after selecting the effective attributes. Using the generated rules from decision tree, the condition of the current process is diagnosed and the possible maintenance actions are identified to correct any abnormal condition. Then, the appropriate maintenance action is recommended using the decision network.

• 제어로봇시스템학회:학술대회논문집
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• 1990.10a
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• pp.286-291
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• 1990

We studied about the adopted system to POSCO facility which is very complexity and various as an example for studying a facility diagnosis and management system that is starting to be distinguished in the nowadays. At the first, explain what's the background why POSCO adopted the system, and it's goal, and it's promoting direction and ways. And there after studied it's results and effective analysis. Finally inquiry about the future improvement and development items through problems which become known during the project periods.

• Child Health Nursing Research
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• v.16 no.4
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• pp.304-313
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• 2010

Purpose: This study was done to develop an educational needs scale for the prevention of cell phone addiction and to investigate the educational needs for prevention of cell phone addiction in Korean adolescents. Methods: The participants were 609 adolescents in one middle school and two high schools. Data were collected through self-report questionnaires, and analyzed using the SPSS program. Results: Twenty items regarding the educational needs for prevention of cell phone addiction were selected for the final scale, and categorized into 3 factors (diagnosis and management, properties, and definition and actual condition) which explained 61.09% of the total variance. The educational needs for the prevention of cell phone addiction in adolescents were moderate, with items related to diagnosis and management ranked as most important. The educational needs for prevention of cell phone addiction varied by gender, grade, academic achievement, perception of health status, satisfaction with school, and text messaging participants. Conclusion: The findings indicate that educational needs for diagnosis and management of cell phone addiction ranked as most important in adolescents. Therefore, programs related to the prevention and management of cell phone addiction based on the educational needs of adolescents should be provided.