• Research in Community and Public Health Nursing
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• v.21 no.4
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• pp.429-438
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• 2010

Purpose: This study was descriptive survey research to examine the factors affecting menopause, depression and menopausal symptoms, and the relations among these factors in South Korean midlife women. Methods: The subjects were 319 midlife women in Daegu City. Measures were Zung's Self-Report Depression Scale (1979) to check depression, and the Midlife Women's Symptom Index developed by Im (2006) to check menopausal symptoms. Data were collected from June 1 to July 31, 2010. Collected data were analyzed by mean, standard deviation, and Pearson's correlation coefficient through SPSS/WIN 18.0. Results: There was a statistically significant correlation between depression and menopausal symptoms (r=.692, p<.001). The factors affecting depression were age (r=.194, p<.001), income (r=-.307, p<.001), exercise (r=-.602, p<.001), and menopausal status (r=.224, p<.001). The factors affecting menopausal symptoms were exercise (r=-.158, p<.037), menstrual pain (r=-.171, p = .004) and menopausal status (r=.222, p<.001). Conclusion: Intervention programs for decreasing menopausal symptoms in midlife women should be focused on relieving menopausal pain and encouraging excise from youth. Further studies will be needed to examine the relations among other factors including living style, area and menopausal symptoms.

• The Korean Journal of Rehabilitation Nursing
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• v.14 no.1
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• pp.54-61
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• 2011

Purpose: The purpose of this study was to examine the effects of a day care rehabilitation program managed by nurses on physical and emotional function of patients with job-related injuries. Method: A one group pre-test and post-test quasi-experimental design was used. Thirty patients participated in a day care rehabilitation program and 9% of those were unable to complete the 16 weeks program due to absence. The physiotherapist, occupational therapist, and clinical psychologist offered the day care rehabilitation program, 5 times a week for 16 weeks. Outcome measures included physical and emotional function. Results: The program participants had significantly greater motor function (t=-2.85, p=.008) and activity of daily living (t=-5.34, p<.001), and lower depression (t=5.20, p<.001), state anxiety (t=4.71, p<.001), and trait anxiety (t=4.40, p<.001). Conclusion: The nurse managed day care rehabilitation program significantly improved physical and emotional function in patients with job-related injuries. The program should be further tested in a larger sample to validate the findings.

• Journal of Families and Better Life
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• v.20 no.2
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• pp.113-122
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• 2002

This study compared the financial status between the employed-elderly households and the unemployed-elderly households, focused on income adequacy, expenditure adequacy and net wealth adequacy. Using data from 1997 KHPS, the lower financial status of the unemployed elderly households were found. Nine measures of financial status were used : income, per capita income, income-to-needs ratio, expenditure, per capita expenditure, expenditure-to-needs ratio, net wealth, net wealth-to-income ratio and net wealth- to-expenditure ratio. The results of this study showed that unemployed elderly households had 68%~77% of income adequacy and 72%~83% of expenditure adequacy for employed elderly households. Holding for gender, age, education, earners in the household, living area and home ownership constant, although the gap was getting smaller, significant differences between the unemployed-elderly households and the employed-elderly households were persisted. The result of this study indicated that the unemployed-elderly households and the employed-elderly households can not be regarded ac homogeneous group when public policies are developed.

• Journal of Families and Better Life
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• v.22 no.2
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• pp.1-12
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• 2004

This study was designed to search for the direction to develop housing service which assists the older people to live independently in their community and provides the systematization of community care. The subjects of the research include 533 older people between the age of 60 to 79 residing in Seoul and 84 welfare officials at a dong(in)-office and 67 social workers working at comprehensive social welfare institutions. The results were as follows: Both demanders and deliverers recognized that housing service for older people was necessary for community care, and, in particular, the deliverers had higher degree of necessity as people charged in welfare service. The most needed service was community alarm service which currently is proceeded partially for low-income and living-alone olders. It needed to expand the scope of the people to be served. It appeared that the need for inside safety measures rather than for housing space or structural problems. It requires less effort and cost for those who need simple repair, such as safety grips or slippery protection, and safety checks. Among financial support services, the need for tax benefits appeared the most necessary service for the older people. It suggested that more 'direct' financial support service is needed for the elderly people.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.11
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• pp.2853-2873
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• 2013

Over the last few years, one of the most common purposes of smart homes is to provide human centric services in the domain of u-healthcare by analyzing inhabitants' daily living. Currently, the major challenges in activity recognition include the reliability of prediction of each classifier as they differ according to smart homes characteristics. Smart homes indicate variation in terms of performed activities, deployed sensors, environment settings, and inhabitants' characteristics. It is not possible that one classifier always performs better than all the other classifiers for every possible situation. This observation has motivated towards combining multiple classifiers to take advantage of their complementary performance for high accuracy. Therefore, in this paper, a method for activity recognition is proposed by optimizing the output of multiple classifiers with Genetic Algorithm (GA). Our proposed method combines the measurement level output of different classifiers for each activity class to make up the ensemble. For the evaluation of the proposed method, experiments are performed on three real datasets from CASAS smart home. The results show that our method systematically outperforms single classifier and traditional multiclass models. The significant improvement is achieved from 0.82 to 0.90 in the F-measures of recognized activities as compare to existing methods.

• Journal of the Korean Society of Physical Medicine
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• v.5 no.4
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• pp.569-576
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• 2010

Purpose : This study was aimed at determining the effects of community-based exercise program to improve leg muscle strength and balance for elderly women. Methods : This study was nonequivalent control group pre-post test design. Subjects were assigned to two different groups(exercise group=11, control group=7). Exercise group performed community-based exercise program for 8 weeks. Outcome measures included leg muscle strength, balance, walking velocity, activities of daily living(ADL), exercise self-efficacy and health-related quality of life(QoL). The collected data analyzed by independent t-test and paired t-test. Results : Leg muscle strength, walking velocity and mental component summary(QoL) were significantly improved in the exercise group. But balance and exercise self-efficacy were significantly worsened in the control group. There were no significant difference between groups after 8 weeks of community-based exercise. Conclusion : These results suggested that the community-based exercise program is effective for elderly women in improving leg muscle strength, walking velocity and mental component summary(QoL).

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.10a
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• pp.1003-1006
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• 2004

In this paper have developed a system for monitoring and processing the real time sensor data in remote site through network. For realizing this system, measurement equipment and protocol are used to transmit the measurement data to remote server and to process measurement data. In server part, the received data from remote site sensor is converted to text or graphic charts for user. The measurement device in sensor part receives the sensor data form sensor and store the received data to its internal memory for transmitting data to server part through Internet. Also the measurement device can receive data form server. The temperature sensor is connected to the measurement device located in laboratory and the measurement device measures temperature of laboratory which can be confirmed by user through Internet. We have developed a server programworking on the Linux to store measurement data from measurement device to server memory. The program is use for SNMP(Simple Network Management Protocol) to exchange data with measurement device. Also the program changes the measurement data into text and graphic charts for user display. The program is use apache PHP program for user display and inquiry. The real time temperature measurement system can be apply for many parts of industry and living.

• Journal of Korean Society for Quality Management
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• v.37 no.3
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• pp.65-73
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• 2009

This research analyzes results and efficiency to promote a government enterprise of A Korean public enterprise to use DEA. Especially, we were used analysis efficiency which are one is year-on-year, another is integrated, and the other is vertical analysis. As a results of integrated analysis show that Gyeonggi_2003 Gyeonggi_2004, Gangwon_2004, Chungcheon-Bukdo_2003, Chungcheon-Bukdo_2004, Cholla-Namdo_2005, and Kyongsang-Bukdo_2003 need to improve upon. Year-on-year analysis result that Gyeonggi, Gangwon, and Kyongsang-Bukdo need urgent improvement. Today, many advanced countries approach not only agricultural investment but also synthetic investment because they believe that agriculture contains living space including food control. Therefore, when the government make a strategic plan for the land and water development in the field of agriculture, they should prepare it well including the proper measures to cope with the internal and external environments.

• Research in Community and Public Health Nursing
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• v.14 no.4
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• pp.629-638
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• 2003

Purpose: This study investigated the effects of knowledge and health belief on osteoporosis preventive health behaviors. Methods: The subjects of this study were 266 middle-aged women. Data were collected using a self-reporting questionnaire with 101 questions. The period of data collection was from the 3rd of January to the 28th of February 2003. Data were analyzed using SPSS 10.0 PC+ program. Results: The results were summarized as follows: 1. The average score of knowledge about osteoporosis was 16.93 out of 27. Particularly, middle-aged women had knowledge more about osteoporosis prevention measures than about risk factors. 2. Knowledge, self efficacy and barriers were significantly correlated with osteoporosis preventive health behaviors. 3. As for the relationship between subjects' general characteristics and their health preventive behaviors, the size of living district, economic status, BMI. family history of osteoporosis and perception of health status were found to have significant effects on health preventive behaviors. Conclusions: According to the results presented above, preventive health behaviors may be promoted by increasing knowledge and perceived self-efficacy as well as decreasing individuals' perceived barriers through health education.

• Proceedings of the KIEE Conference
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• 2003.11b
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• pp.99-102
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• 2003

In this paper, we have developed a system for monitoring and processing the real time sensor data in remote site through Internet. For realizing this system, measurement equipment and protocol are used to transmit the measurement data to remote server and to process measurement data. In server part, the received data from remote site sensor is converted to text or graphic charts for user. The measurement device in sensor part receives the sensor data form sensor and store the received data to its internal memory for transmitting data to server part through Internet. Also the measurement device can receive data form server. The temperature sensor is corrected to the measurement device located in laboratory and the measurement device measures temperature of laboratory which can be confirmed by user through Internet. We have developed a server program working on the Linux to store measurement data from measurement device to server memory. The program is use for SNMP(Simple Network Management Protocol) to exchange data with measurement device. Also the program changes the measurement data into text and graphic charts for user display. The program is use apache PHP program for user display and inquiry. The real time temperature measurement system can be applly for many parts of industry and living.