• Korean Journal of Veterinary Research
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• v.46 no.2
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• pp.159-164
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• 2006

A stochastic simulation model incorporated with Reed-Frost approach was derived for evaluating diagnostic performance of a test used for a screening program of an infectious disease. The Reed-Frost model was used to characterize the within-herd spread of the disease using a hypothetical example. Specifically, simulation model was aimed to estimate the number infected animals in an infected herd, in which imperfect serologic tests are performed on samples taken from herds and to illustrate better interpreting survey results at herd-level when uncertainty inevitably exists. From a risk analysis point of view, model output could be appropriate in developing economic impact assessment models requiring probabilistic estimates of herd-level performance in susceptible populations. The authors emphasize the importance of knowing the herd-level diagnostic performance, especially in performing emergency surveys in which immediate control measures should be taken following the survey. In this context this model could be used in evaluating efficacy of a survey program and monitoring infection status in the area concerned.

• Research in Community and Public Health Nursing
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• v.12 no.2
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• pp.338-343
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• 2001

Physical activity is one of important factors of the chronic disease. It was reported that Most of Korean workers didn't take exercise regularly. The purpose of this study is testing effects of exercise program, based on the Theory of Planned Behavior. 30 subjects participating in this study are workers in small enterprises and have not taken exercise regularly. Exercise program, which includes education, support, monitoring, and counseling, was conducted for 6 weeks. Effects of this program was evaluated by the change of exercise, attitude, subjective norm, perceived control. intention of exercise, perceived health states, and fatigue. The results of this study can be summarized as follows: 1. There was the significant difference between pre and post-test in the subjective norm, perceived control. and intention of exercise, but not the significant difference in the attitude of exercise. 2. 53.3% of the subject of this study had taken exercise regulary in the post-test. 3. There was not the significant difference in the perceived health states and fatigue, From the results, it can be concluded that the exercise program is effective, leading to the change of intention and exercise rate. On the other hand, it was not effective in Physiological aspects. It seems that these result was due to short term program. Thus, it can be recommended that studies are needed with longer term program and larger sample.

• The Journal of Korean Academic Society of Nursing Education
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• v.27 no.2
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• pp.95-106
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• 2021

Purpose: The purpose of this study was to examine the effects of a smart-care services program for breast cancer survivors on cognitive function and physical health. Methods: A quasi-experimental control group pretest posttest design was used. Subjects were recruited in D city, and data were collected from July 2017 to February 2018. The experimental group (n=24) participated in the smart-care services program, whereas the control group (n=26) received conventional management. The smart-care services program consisted of addressing cognitive function problems arising from chemotherapy, diet, exercise, head/neck massage and self-monitoring using smartphone applications and smart bands. All participants underwent assessments at baseline, at 6 weeks, and at 12 weeks. Data were analyzed using descriptive statistics (frequency, percentage, mean and standard deviation), a chi-squared test, t-test, and repeated measures ANOVA. Results: After the smart-care services program, significant differences were found between the groups in cognitive function (F=18.91, p<.001) and sleep time (F=9.25, p<.001). No significant differences were found between the groups in caloric consumption after the program. Conclusion: The smart-care services program significantly improved the level of cognitive function and sleep time for breast cancer survivors. The use of this smart-care services program for breast cancer survivors might be an effective nursing intervention tool for improving cognitive function and health behaviors.

• Journal of Korean Academy of Nursing
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• v.52 no.5
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• pp.535-549
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• 2022

Purpose: The study aimed to design and develop an automated personalized self-care (APSC) program for patients with type 2 diabetes mellitus. The secondary aim was to present a clinical protocol as a mixed-method research to test the program effects. Methods: The APSC program was developed in the order of analysis, design, implementation, and evaluation according to the software development life cycle, and was guided by the self-regulatory theory. The content validity, heuristics, and usability of the program were verified by experts and patients with type 2 diabetes mellitus. Results: The APSC program was developed based on goal setting, education, monitoring, and feedback components corresponding to the phases of forethought, performance/volitional control, and self-reflection of self-regulatory theory. Using the mobile application, the participants are able to learn from educational materials, monitor their health behaviors, receive weekly-automated personalized goals and feedback messages, and use an automated conversation system to solve the problems related to self-care. The ongoing two-year study utilizes a mixed method design, with 180 patients having type 2 diabetes mellitus randomized to receive either the intervention or usual care. The participants will be reviewed for self-care self-efficacy, health behaviors, and health outcomes at 6, 12, 18, and 24 months. Participants in the intervention group will be interviewed about their experiences. Conclusion: The APSC program can serve as an effective tool for facilitating diabetes health behaviors by improving patients' self-care self-efficacy and self-regulation for self-care. However, the clinical effectiveness of this program requires further investigation.

• Nuclear Engineering and Technology
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• v.21 no.4
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• pp.294-301
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• 1989

The Axial Power Distribution Monitoring System(APDMS) program was developed to calculate a detailed axial power distribution using two-level excore detector, cold leg temperature and control rod position signals. The unnormalized two-level excore detector signals were corrected for the rod shadowing factor determined by control rod position and for the temperature shadowing factor calculated based on cold leg temperature. A shape annealing matrix was then applied to the corrected excore detector response to yield peripheral power. After the core average power was obtained using linear relationship bet-ween core average and peripheral power, the boundary point power correction coefficient was applied to core average power in order to obtain boundary power for both upper and lower core axial boundaries. Then, the axial power distribution was synthesized by spline approximation. In spite of burnup, power level, control rod postion and axial offset changes, the comparisons of axial power distributions between BOXER simulation program and APDMS results showed good agreements within 5% root mean square error for Kori Unit 3 Cycle 4.

• Journal of Mechanical Science and Technology
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• v.14 no.10
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• pp.1089-1103
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• 2000

A Problem of relevant interest to some industries is that of obtaining optimum two-dimensional layout. To solve this provlem, one is given a number of rectangular sheets and an order for a specified number of each of certain types of two-dimensional regular and irregular shapes. The aim is to cut the the shapes out of the sheets in such a way as to minimize the amount of waste produced. A DCS (Distributed Control System) is an integrated system which applies the decentralization concept to a control system handling both sequential and analog control. A DCS performs many operations such as data gathering, data processing, data storing and monitoring the operatin conditions for the operator. IN this paper, we propose a genetic algorithm based on rotation parameters from which the best pattern of layout is found as well as a layout method for better performance time. A DCS for the plate cutting process system, which is performed by a virtual system, is also identified.

• Journal of Biosystems Engineering
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• v.31 no.5 s.118
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• pp.436-442
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• 2006

This research was conducted to design and develop a wired monitoring system for judging if sick or dead layers (SDL) exist in multi-tier layers battery (MLB) by machine vision, and to analyze its performance. In this study, 20 Brown Leghorn (Hi-Brown) layers aged 37 weeks old, were used as the experimental animals. The intensity of concern paid by layers on feed was over 90% during 5 minutes and 30 seconds after providing feed, and normal layers (NL) had been standing to take feed for that period. Therefore, in this study, the optimal judging time was set by this test result. The wired monitoring system developed was consisted of a driving device for carrying machine vision systems, a control program, a RS232 to RS485 convertor, an automatic positioning system, and an image capture system. An image processing algorithm was developed to find SDL in MLB by the processes of binary processing, erosion, expansion, labeling, and reckoning central coordinate of the captured images. The optimal velocity for driving unit was set up as 0.13 m/s by the test results for wired monitoring system, and the proximity switch was controlled not to be operated for 1.0 second after first image captured. The wired monitoring system developed was tested to evaluate the remote monitoring performance at lab-scale laying hen house. Results showed that its judgement success.ate on normal cage (without SDL) was 87% and that on abnormal cage (with SDL) was 90%, respectively. Therefore, it would be concluded that the wired monitoring system developed in this study was well suited to the purpose of this study.

• Korean Journal of Adult Nursing
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• v.19 no.1
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• pp.132-143
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• 2007

Purpose: The purpose of this study was to identify effects of a self-management program on symptom and functional status, health perception, and quality of life(QOL) of patients with CHF. Methods: Patients with CHF as defined through clinical judgment using the Framingham criteria and EF<50% were enrolled in the study (experimental: 21, control: 20). The symptom focused self-management program consisted of coping behaviors for symptoms including dyspnea, chest discomfort/pain, dizziness, ankle edema, and basic self-management including medications, diets, activity, lifestyle changes. Experimental group received an educational booklet after survey, and periodic telephone follow-up by a trained nurse. Data were collected the 3rd day after admission and at 1 month, 3 months, and 6 months after discharge using questionnaires. Results: Significant differences were found in the presence of symptoms, health perception, and QOL between groups during follow-up. Although no significant difference was found in functional status, the experimental group reported better functional status than the control group. Conclusion: By facilitating self-management of CHF using tailored interventions including education programs and telephone monitoring, it is expected that patients will be able to monitor their symptoms routinely, adhere to therapeutic regimen, and have a better QOL.

• Tribology and Lubricants
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• v.37 no.2
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• pp.41-47
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• 2021

An experimental device was developed for analysis of hydraulic oil characteristics with dielectric constant sensors. Online analysis is the most effective method of the three methods used for analyzing lubricant oils. This is because it can monitor the machine condition effectively using oil sensors in real time without requiring excellent analysis skill and eliminates human errors. Determining the oil quality usually requires complex laboratory equipment for measuring factors such as density, viscosity, base number, acid number, water content, additive, and wear debris. However, the electric constant is another indicator of oil quality that can be measured on-site. The electric constant is the ratio of the capacitance of a capacitor using that material as a dielectric, compared with a similar capacitor that has a vacuum as its dielectric. The electric constant affects the factors such as the base oil, additive, temperature, electric field frequency, water content, and contaminants. In this study, the tendency of the electric constant is investigated with a variation of temperature, water content, and dust weight. The experimental device can control working temperature and mix the contaminants with oil. A machine condition monitoring program developed to analyze hydraulic oil is described. This program provides graph and digital values with variation of time. Moreover, it includes an alarm system for when the oil condition is bad.

• Proceedings of the IEEK Conference
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• 2001.06c
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• pp.105-108
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• 2001

In this paper, "The PLC Controlling on Web Browser" is designed and implemented to remote control and to monitor FA system. Protocol bidirectional communication with PLC is written and sotted. Then Administration system sets Web server and JAVA Sevelet Program. The client system located at the monitoring Web browser are a JAVA Sevelet base system, and sends some commands to the server system which guards and controls the PLC system. The commands are delivered to the server system and the driver software exists in the server controls the PLC system directly.