• PNF and Movement
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• v.10 no.3
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• pp.53-66
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• 2012

Purpose : This research has been studied physical therapy curriculum according to the demands of the medical institution. Methods : The subjects of this study were 88 physical therapists. The subjects were divided by OS(n=41) and NS(n=47) group. The results of research were analyzed using independent t-test with average and standard deviations as the statistical methods for data analysis. Results : the results of the study were as follow : First, it was needed on the development planning for physical therapy curriculum according to the demands of the medical institution. Second, tests of independent t-test were a statistically significant difference between OS and NS group on the demands of the medical institution. Third, it was needed that time tables on physical therapy curriculum were partially regulated by the demands of the medical institution. Conclusion : We suggest to change the curriculum of physical therapy. It is more accurately reflected the rigor of the high-quality education preparation needed for current and future practice.

• International Journal of Control, Automation, and Systems
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• v.1 no.1
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• pp.68-75
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• 2003

This paper presents an effective trajectory planning algorithm for industrial robot manipulators. Given the end-effector trajectory in Cartesian space, together with the relevant constraints and task specifications, the proposed method is capable of planning the optimum end-effector trajectory. The proposed trajectory planning algorithm considers the joint acceleration limit, end-effector velocity limits, and trajectory allowance. A feedforward compensator is also incorporated in the proposed algorithm to counteract the delay in joint dynamics. The algorithm is carefully designed so that it can be directly adopted with the existing industrial manipulators. The proposed algorithm can be easily programmed for various tasks given the specifications and constraints. A three-dimensional test trajectory was planned with the proposed algorithm and tested with the Performer MK3s industrial manipulator. The results verified effective manipulator performance within the constraints.

• Journal of the Korean Institute of Rural Architecture
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• v.4 no.1
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• pp.37-44
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• 2002

There are some studies about user's participation to reflect their desire and value on the planning of house by this time. These were constitution of unit space focused on the apartments, which is mostly theoretical. However, till completion of a construction work, it goes through various processes of some steps such as, buying building site, site planning, architectural planning and construction. In architectural planning process, it takes time for continuous discussion and revision between architects and users. Also changes of plan must of necessity be so because of in or outside conditions. So, right user's participation has its meaning that they take part in each step and portion of process faithfully on whole architectural processes. In this case, tenants of single house were decided and they already buy building site and lay out rules jointly. With this circumstance I've researched a kind of test the reflection on various desires and its acceptance in each steps through completion of a construction work, which is based on their participation.

• KIEE International Transactions on Power Engineering
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• v.2A no.3
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• pp.121-128
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• 2002

This study proposes a new method for transmission system expansion planning using fuzzy integer programming. It presents stepwise cost characteristics analysis which is a practical condition of an actual system. A branch and bound method which includes the network flow method and the maximum flow - minimum cut set theorem has been used in order to carry out the stepwise cost characteristics analysis. Uncertainties of the permissibility of the construction cost and the lenient reserve rate and load forecasting of expansion planning have been included and also processed using the fuzzy set theory in this study. In order to carry out the latter analysis, the solving procedure is illustrated in detail by the branch and bound method which includes the network flow method and maximum flow-minimum cut set theorem. Finally, case studies on the 21- bus test system show that the algorithm proposed is efficiently applicable to the practical expansion planning of transmission systems in the future.

• Journal of the Korean Operations Research and Management Science Society
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• v.29 no.2
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• pp.77-95
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• 2004

This paper deals with the process planning of flexible manufacturing systems (FMS) with various flexibilities and multiple objectives. The consideration of the manufacturing flexibility is crucial for the efficient utilization of FMS. The machine, tool, sequence, and process flexibilities are considered In this research. The flexibilities cause to increase the Problem complexity. To solve the process planning problem, an this paper an evolutionary algorithm is used as a methodology. The algorithm is named multiobjective competitive evolutionary algorithm (MOCEA), which is developed in this research. The feature of MOCEA is the incorporation of competitive coevolution in the existing multiobjective evolutionary algorithm. In MOCEA competitive coevolution plays a role to encourage population diversity. This results in the improvement of solution quality and, that is, leads to find diverse and good solutions. Good solutions means near or true Pareto optimal solutions. To verify the Performance of MOCEA, the extensive experiments are performed with various test-bed problems that have distinct levels of variations in the four kinds of flexibilities. The experiments reveal that MOCEA is a promising approach to the multiobjective process planning of FMS.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.24 no.3
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• pp.284-291
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• 2017

Purpose: The purpose of this study was to examine the impact of ego-resilience, career planning on turnover intention of career-focused nurses working in general hospitals. Methods: The subjects were 673 nurses with clinical experience with more than 1 year working in general hospitals in Seoul and Gyeonggi-do, from February1 to June 30, 2016. The collected data were analyzed with t-test, ANOVA, Pearson's correlation and multiple regression anaby using SAS (9.4ver). Results: The factors affecting the turnover intention of career nurses were identified by age, current hopes of moving to the workimg department, and career planning. These variables accounted for 18% of career nurses' turnover intentions. Conclusions: The results of this study suggest that the higher the degree of career planning of career nurses, the lower the turnover intention. However, ego-resilience did not show the influence of turnover intention. There is a need to develop a career management program that enhances ego-resilience and systematic career planning to reduce turnover intentions.

• KIEAE Journal
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• v.11 no.5
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• pp.107-117
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• 2011

This paper aims to analyze architectural planning factors that could contribute to reductions in electricity consumption in the household of apartments, to apply energy saving methods at the design phase. These six architectural planning factors were orientation, building type (flat, tower block), standard floor access type (corridor access type, stair case type, EV hall access type), household location (floor), household opening type (one side opening, right angle opening, two sides opening or three sides opening), and bay on the facade (one bay, two bays, three bays, four bays), and these were derived from literature review. Household electricity consumption data were gathered from 2168 households with a total area of 135~150$m^2$ of 6 apartment complexes over 1000 households in Seoul. The annual characteristics of electricity consumption according to architectural planning factors were analyzed. And, variances between groups with respect to the mean of summer, winter, and annual electricity consumption according to each architectural planning factors were analyzed using ANOVA and t-test. The results showed that an annual electric energy saving of over 1000kWh was facilitated by these planning factors. In addition, high energy efficiency architectural planning factors based on the analysis were as follows: southwest orientation, flat type, corridor access type and staircase type, household loation below the 20th floor, two sides opening and three sides opening, and 2 bays and 3 bays.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.8
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• pp.1483-1490
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• 2009

This parer is presented multiple path-planning of unmanned autonomous forklift using modified genetic algorithm and fuzzy inference system. There are a task-level feedback method and a method that path is dynamically replaned in realtime while the autonomous vehicles are moving by means of an optimal algorithm for existing multiple path-planning. However, such methods cause malfunctions and inefficiency in the sense of time and energy, and path-planning should be dynamically replanned in realtime. To solve these problems, we propose multiple path-planning using modified genetic algorithm and fuzzy inference system and show the performance with autonomous vehicles. For experiment, we designed and built two autonomous mobile vehicles that equipped with the same driving control part used in actual autonomous forklift, and test the proposed multiple path-planning algorithm. Experimental result that actual autonomous mobile vehicle, we verified that fast optimized path-planning and efficient collision avoidance are possible.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.41 no.4
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• pp.346-354
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• 1992

In the power-system, the active and reactive power levels of load bus randomly vary over days, months, and years which are stochastic in nature. This paper presents an algorithm for optimal Var planning considering the uncertainties of loads. The optimization problem is solved by a stochastic linear programming technique which can handle stochastic constraints to evaluate optimal Var requirement at load bus to maintain the voltage profile which results in probabilistic density function by stochastic Load Flow analysis within admissible range. The effectiveness of the proposed algorithm has been verified by the test on the IEEE-30 bus system.

• Journal of the Korean Home Economics Association
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• v.30 no.4
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• pp.279-292
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• 1992

The purpose of this study was to test system model for family resource management. The data were collected by means of a questionnaire distributed to the sample of 650 wives living in Seoul and Daejeon. The data were analyzed using mean, multiple regression. The result were shown as follows: 1) There were significant differences in three measure of satisfaction ―economic concern, financial satisfaction, general life satisfaction― according to contextual variables, perceived resource adequacy, planning style. 2) Planning style measures provided a unique contribution to the explanation of wives' satisfaction when contextual variables and perceived resource adequacy were controlled, but the degree of contribution was weak.