• Journal of the Korean Home Economics Association
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• v.46 no.2
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• pp.39-50
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• 2008

The purpose of this study is to constitute the background theory and framework for developing the family-empowering program of Healthy Family-Support Center(HFSC). For this purpose, first, this study emphasizes that the development of integrated and differentiated program for HFSC is needed. Second, this study shows the theoretical background including ecological system theory, family system analysis theory, and family life coaching process. Third, assessment and evaluation system and subsystems are suggested as a basic frame for developing family life diagnosis tool. This system is based on the comparative analysis about the studies relating family life planning and case management. Fourth, the process of family empowering program is suggested to accomplish the family needs and goals. This process include the assessment, family life coaching for problem solving and/or family life planning, and following education and counselling. Last, this study shows how this program is related to other programs of HFSC. Family members can participate various programs of this center for preventing or solving the problem on the basis of evaluation results. Family-empowering program for making family healthy can be a representative and integrating program for this center.

• Journal of Applied Reliability
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• v.10 no.1
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• pp.39-56
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• 2010

Statistical process control (SPC) is a powerful technique for monitoring, managing, analysing and improving the process performance. However, its has limitations such as lack of engineering, statistical skill and training, and lesser importance of activity. To solve the problems, this study proposes an intelligent SPC system using specified agents which are derived through analysis and evaluation of the SPC activities. The activities investigated by the relevant researches are categorized as collection, process analysis, diagnosis, detection, cause analysis and rule generation. Also, the evaluation criteria are established as feasibility of automation, frequency, level and time. The requirements of the agent functions are derived by the evaluation, and the types of customized agents are as data collection, store, analysis, diagnosis, monitoring, alarm and reporting. A prototype SPC system represents that the functions of the proposed agents are successfully validated.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2006.11a
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• pp.411-416
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• 2006

Fault detection and diagnosis is the most important technology in condition-based maintenance(CBM) system that usually begins from collecting signatures of running machines using multiple sensors for subsequent accurate analysis. With the quick development in industry, there is an increasing requirement of selecting special sensors that are cheap, robust, and easy-installation. This paper experimentally investigated performances of four types of sensors used in induction motors faults diagnosis, which are vibration, current, voltage and flux. In addition, diagnostic effects of five popular classifiers also were evaluated. First, the raw signals from the four types of sensors are collected at the same time. Then the features are calculated from collected signals. Next, these features are classified through five classifiers using artificial intelligence techniques. Finally, conclusions are given based on the experiment results.

• Journal of the Korean Society for Railway
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• v.9 no.5 s.36
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• pp.612-617
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• 2006

As the on-board electric devices determine the performances of vehicles, production of reliable devices is important. To keep the reliability of devices constant, management of performance evaluation of the on-board devices is crucial. Because temperature has a serious effect on failures of the components of the devices, its measurement is the first step for good management. In this study, we described performance characteristics of domestic auxiliary block developed through G7 project. We measured the performances of auxiliary block during test running by the developed on-line measurement system. After we save the input real-time data from each signal of Korean High Speed Train through the network line, we can acquire necessary information through post-processing program. We verify the motor block characteristics of Korean High Speed Train by this system.

• 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 Sensor Science and Technology
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• v.16 no.3
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• pp.202-210
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• 2007

The aim of this study is to acquire useful information of lower urinary tract symptom (LUTS) diagnosis through urophonography signal as a noninvasive method. The hardware and software which could evaluate the function of compensatory hypertrophy with noninvasive and comfortable method was implemented to measure uroflow and urophonography signal during urination. The PSD (power spectrum density) and the log-log plot gradient analysis were accomplished in frequency domain. For evaluation of the system and analysis method, a model system for the lower urinary system of men was used. From the evaluation of the model system, the PDS and the log-log plot gradient were dependent on the occlusion degree significantly. In a pilot study on normal and abnormal male subjects, the PSD and the log-log plot gradient were highly correlated with the artificial urethral obstruction.

• Journal of Drive and Control
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• v.18 no.1
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• pp.24-30
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• 2021

There is an increasing interest in condition-based maintenance for the prevention of economic loss due to failure. Moreover, immense research is being carried out in related technologies in the field of construction machinery. In particular, data-based failure diagnosis methods that employ AI (machine & deep learning) algorithms are in the spotlight. In this study, we have focused on the failure diagnosis and mode classification of reduction gear of excavator's travel device by using the AI algorithm. In addition, a remote monitoring system has been developed that can monitor the status of the reduction gear by using the developed diagnosis algorithm. The failure diagnosis algorithm was performed in the process of data acquisition of normal and abnormal under various operating conditions, data processing and analysis by the wavelet transformation, and learning. The developed algorithm was verified based on three-evaluation conditions. Finally, we have built a system that can check the status of the reduction gear of travel devices on the web using the Edge platform, which is embedded with the failure diagnosis algorithm and cloud.

• The Korean Nurse
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• v.29 no.1
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• pp.59-71
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• 1990

Although the usefulness and importance of clinical application of nursing diagnosis are well recognized by the academic circle, it is not yet generally practiced. In order to provide data for establishing a policy for clinical nursing diagnosis; a study was made at a seminar, sponsored by the Department of nursing, Severance Hospital, with participation of 190 nurses from 33 hospitals. The objective of the study was to find out; 1) if the nurses agree with the academic community in recognizing the benefits and problems of clinical application of nursing diagnosis; 2) how the nurses evaluate their ability to carry out nursing diagnosis; and 3) if educational programs would help enhance ability of nursing diagnosis among nurses. The summary of findings by the study is as follows; 1. While all nurses responded positively on the question of benefits improving science and quality of nursing, thus elevating credibility and position of nurses, some expressed concern on the practicality of the system in setting up nursing objectiveness, confirming the nursing problems and utilizing patient information. For the 20 questions and the scale of 1~5, the lowest average score was 3.223 and the highest 4.066. 2. The study attempted to find out the opinion of the nurses on the problems that 'would make difficult to adopt the nursing diagnosis in clinics. The result of the study indicates the nurses believe the major problems are the fact that the subject of nursing diagnosis are not well defined and that the form sheets do not match with the ones that are currently being used. However, comparing it with the result of the previous study on the same question (inadequate manpower and insufficienf time allocated for the job were two major problems pointed out then.), it can be said that the opinion of the nurses studied this time was much more positive and it suggests that they believe the system can be adopted without increasing manpower and only by giving additional training and by adjusting the format of nursing record sheets. It suggests that the future for adopting a clinical nursing diagnosis is very bright. 3. As the most urgent problem to be solved for adopting clinical nursing diagnosis, 38. 5% responded that it was "education of nurses, "and 34.2% responded that it was "staffing adequate number of nurses". 4. For the 10 questions asked for self-evaluation of ability to adopt the system, with the scale of 1~5, average score was lower than 3. This indicate that they evaluate their ability to adopt the system is low. 5. The results of study taken before and after the educational programs for clinical nursing diagnosis were compared with overall score in order to determine if such program would cause changes in the response to the effect of clinical application of nursing diagnosis, and it was found that there was statistically significant changes suggesting that the education contributed to positive change in the response. 6. The results of study taken before and after the educational programs for clinical nursing diagnosis were compared with overall score in order to determine how the proble~ ms for adopting nursing system would be effected by such educational programs, and it was found that those problems be not soived with a short course of training. 7. The results of study taken before and after the educational programs for clinical nursing diagnosis were compared with overall score in order to determine if such programs would bring changes in the self-evaluation of nurses on the ability of nursing diagno sis, and it was found that program improve score of self-evaluation their ability of the nursing diagnosis. As seen in the above reports, it was found that the nu'rses are very positive about the clinical nursing diagnosis, that educational program for the clinical nursing diagnosis helps nurses for positively changing their attitude for ,the nursing diagnosis, for their self-confidence on their ability to perform nursing diagnosis. With improved know-how and self"confictence of nurses gained through educational and .training programs, the future of clinical application of nursing diagnosis is very bright.diagnosis is very bright.

• Journal of Korean Academy of Nursing Administration
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• v.7 no.3
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• pp.571-588
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• 2001

Purpose : This study was to develop the nursing database for gastric cancer patients for clinical application. Method : Nursing data that development of this data base is comprehensive connected with gastric cancer patient nursing process frame to foundation as classification. Result : Each stage was processed based on the System Development Life Cycle. At the Strategy Planning stage, gastric cancer patient nursing process were analyzed. At the system Analysis Stage, database flowchart was drawn up based on frame of nursing process was drawn up. At the system Design Stage, a system was developed based on the flowchart and named the Nursing Database. The Nursing Database consisted of the patient's Basic Information, Patient's Nursing History, Discharge summary, Nursing Assessment, Nursing Diagnosis, Nursing Intervention/activity, Nursing Evaluation, Statics, Code Registration. Each element in flowchart was coded and made into a database. Nursing Assessment classified according to Gorden's Health Pattern Typology, and nursing diagnosis draws the standard 27 name of Hanguls and connected with nursing assessment. Nursing intervention and nursing activity draw 192 of thing that present in NIC, connected this with nursing assessment. Nursing evaluation is linked with nursing assessment, diagnosis and intervention by achievement availability of nursing goals. Conclusion : The biggest advantage of this database nursing process that can manage nursing information exactly and rapidly to foundation be.

• Hip & pelvis
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• v.34 no.1
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• pp.56-61
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• 2022

Purpose: Histopathologic analysis of femoral head specimens following total hip arthroplasty (THA) is a routine practice that represents a significant use of health care resources. However, it occasionally results in discovery of undiagnosed hematopoietic malignancy and other discrepant diagnoses such as avascular necrosis. The purpose of this study was to determine the rate of discordant and discrepant diagnoses discovered from routine histopathological evaluation of femoral heads following THA and perform a cost analysis of this practice. Materials and Methods: A review of patients undergoing primary THA between 2004-2017 was conducted. A comparison of the surgeon's preoperative and postoperative diagnosis, and the histopathologic diagnosis was performed. In cases where the clinical and histopathology differed, a review determined whether this resulted in a change in clinical management. Medicare reimbursement and previously published cost data corrected for inflation were utilized for cost calculations. Results: A review of 2,134 procedures was performed. The pathologic diagnosis matched the postoperative diagnosis in 96.0% of cases. Eighty-three cases (4.0%) had a discrepant diagnosis where treatment was not substantially altered. There was one case of discordant diagnosis where lymphoma was diagnosed and subsequently treated. The cost per discrepant diagnosis was $141,880 and per discordant diagnosis was $1,669 when using 100% Medicare reimbursement and Current Procedural Terminology (CPT) code combination 88304+88311. Conclusion: Histopathologic analysis of femoral head specimens in THAs showed an association with high costs given the rarity of discordant diagnoses. Routine use of the practice should be at the discretion of individual hospitals with consideration for cost and utility thresholds.