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정순돌 연세대학교 사회복지연구소 1997 연세사회복지연구 Vol.4 No.-
Network analysis is an excellent method to identify the relationship patterns among individuals, groups, and society. It helps us to better understand the social phenomenon. This paper reviews two theories concerning the network analysis, the stress buffering theory of social support and resource dependence theory. Also the type of data required and the analysis procedures for a real application are introduced. Rapid advances in computer software have made network analysis becoming more accessible and easier to carry out. In social work, network analysis can contribute to social work intervention, social work research, and social work curriculum.
경기도의 장기요양 보장체계에 관한 연구노인복지시설보호를 중심으로
정순돌 한국노인복지학회 2005 노인복지연구 Vol.0 No.29
The purposes of this study were to observe the long-term care system in Kyungi-Do and to find the implication for the construction of long-term care system. Literature analysis and survey research for the welfare facilities of the elderly in Kyungi-Do were performed to analyze the system. The results showed that elderly population in Kyungi-Do was slightly lower than national mean, but it is increasing continuously. The elderly people who were needing long-term care occupied large portion of entire population, but the problem is lack of number of facilities. In addition, the facility could not supply enough number of staff members due to the insufficient budget. Services of the facility were not specified according to the kinds of care. The policy implications are suggested in order to construct the long-term care system in Kyungi-Do. 본 연구는 경기도 노인장기보호체계의 한 부분인 시설중심의 보호체계에 대해 살펴보고, 이를 바탕으로 경기도장기요양보호체계 구축에 관한 정책적 함의를 찾기 위해 이루어졌다. 분석은 주로 문헌연구와 조사연구에 의해 수집된 자료를 통해 이루어졌다. 분석결과 경기도의 전체 노인인구는 우리 나라 전체 노인인구의 비율보다는 낮지만 꾸준히 증가하고 있었으며, 장기요양보호를 필요로 하는 노인의 수 역시 상당한 비율이지만, 이들을 보호할 시설의 수가 부족한 것으로 나타났다. 시설들 역시 예산의 부족으로 정원을 다 채울 수 없는 형편이며, 종사자도 법정기준을 충족시키지 못하는 실정이었다. 또한 서비스도 시설별로 특화되지 못하고 있는 것으로 나타났다. 이러한 결과를 바탕으로 경기도 장기요양보호체계구축을 위한 정책적 제언을 하였다.
정순돌(Chung Soon-Dool) 한국사회복지학회 2006 한국사회복지학 Vol.58 No.4
본 연구의 목적은 사회복지를 전공하고 있는 대학생 및 대학원생을 대상으로 이들의 조사연구에 관한 태도를 파악하고, 이러한 태도에 영향을 미치는 요인들은 무엇인지를 파악하기 위해 이루어졌다. 표본은 조사가 가능한 수도권 지역 대학의 학생들을 중심으로 추출되었으며, 최종 321명의 자료에 대한 분석을 실시하였다. 연구결과 사회복지 전공학생들의 조사연구에 대한 태도는 중요성과 유용성에서 모두 높은 수준으로 나타났지만, 선행연구에 비해 낮았다. 학부생과 대학원생간의 태도 조사연구태도 차이는 유용성에 대한 태도에서만 발견되었다. 조사연구수업에 대한 견해와 사회복지실무본질에 대한 견해가 조사연구태도인 중요성과 유용성 모두에 영향을 미치는 변수로 나타났다. 이와 같은 연구결과를 가지고 우리나라 사회복지교육과 조사연구에 대한 함의를 찾아보았다. The purposes of this study are to investigate the research attitude of social work students and to examine the factors associated with research attitude. The subjects of this study are social work students around capital city in Korea. The sampling methods used in this study is a purposive sampling strategy. Data were collected by answering the questionnaire in class. Data from 321 of social work students were finally analyzed by regression analysis. The results show that the level of research attitude by social work students in Korea is relatively lower than previous study. The variables affecting importance and usefulness of research are related to the attitude of research class and the attitude of nature for social work practice. The implications of social work research education are discussed.
소규모 농업용 저수지의 저류량-용수공급능력 결정에 관한 연구
안승섭,정순돌,이증석,윤경덕,장인수 한국환경과학회 2002 한국환경과학회지 Vol.11 No.12
This study aims at the effective estimation of water supply capacity of small scale reservoir and the proposal of the data which is necessary to establish the water resources management plan of down stream area of the reservoir in the future by comparison and examination about reservoir operation technique for the security of agricultural water in small scale reservoir. The result of flow calculation by Tank model is used for the input data as the inflow data which is needed for the analysis of water supply capacity. Stochastic method, simulation method, and optimization method are used to examine the water supply capacity, and water security amount is compared with each method. From the analyses of water supply capacities by each method, slightly different results are shown in spite of the effort to compare them equally using input data such as inflow data under equal conditions, and the comparison of water supply capacities by each method are follows; linear planning method, and transition probability matrix method in the order of amount from the largest. It is thought that the simulation method in which comparatively reasonable application of the inflow data is possible and is simulated in successive time series dam operation of the three methods used in this study thus, simulation model is proper to estimate the water supply capacity of agricultural small scale reservoir. And it is judged that the heightening of efficiency of water resources utilization according to the development of downstream area of dam may be possible using the upward readjusted water supply amount of 55.18×10^6ton at 95% and 90% supply reliability respectively which are above the planning water supply amount of 50.0×10^6ton when the simulation method is introduced as the standard.
안승섭,신성일,정순돌 한국환경과학회 2004 한국환경과학회지 Vol.13 No.7
The Neural Network Models which mathematically interpret human thought processes were applied to resolve the uncertainty of model parameters and to increase the model's output for the streamflow forecast model. In order to test and verify the flood discharge forecast model eight flood events observed at Kumho station located on the midstream of Kumho river were chosen. Six events of them were used as test data and two events for verification. In order to make an analysis the Levengerg-Marquart method was used to estimate the best parameter for the Neural Network model. The structure of the model was composed of five types of models by varying the number of hidden layers and the number of nodes of hidden layers. Moreover, a logarithmic-sigmoid varying function was used in first and second hidden layers, and a linear function was used for the output. As a result of applying Neural Networks models for the five models, the N10-6model was considered suitable when there is one hidden layer, and the N10-9-5model when there are two hidden layers. In addition, when all the Neural Network models were reviewed, the N10-9-5model, which has two hidden layers, gave the most preferable results in an actual hydro-event.