• 한국노년학
• /
• 제39권1호
• /
• pp.1-20
• /
• 2019

최근, 보건복지부가 커뮤니티케어 구축에의 필요성을 강조하면서 보건의료-요양-사회복지계의 뜨거운 관심이 이어지고 있다. 이에 본 연구에서는 향후 노인대상의 커뮤니티모델을 구축함에 있어서 노인장기요양보험이 어떠한 미래적 비전을 갖고 재검토되어야 하는지를 살펴보기 위해 국책사업으로 지역포괄케어시스템(aging in place) 구축을 추진하고 있는 일본의 정책추진사례를 심층적으로 분석해 보는 것은 그 의미가 있다고 볼 수 있으며 본 연구는 일본의 개호보험제도 개정과정을 문헌검토를 통해 심층적으로 분석하였다. 일본의 지역포괄 케어시스템 구축을 위한 개호보험제도 운영현황과 개정과정을 살펴본 결과, 향후 우리의 경우 1)커뮤니티케어시스템 구축의 기본적인 원리를 보다 명확히 할 필요가 있고 2)노인장기요양보험의 재가서비스 확충, 3)거주유형의 다양화 및 고도화 작업 추진, 4)케어매니지먼트체계 구축, 5)당사자와 가족지원 확대 등의 정책추진이 보다 적극적으로 이뤄져야 할 것으로 사료된다.

• JSTS:Journal of Semiconductor Technology and Science
• /
• 제16권5호
• /
• pp.657-663
• /
• 2016

In this work, a novel silicon (Si) based floating body synaptic transistor (SFST) is studied to mimic the transition from short-term memory to long-term one in the biological system. The structure of the proposed SFST is based on an n-type metal-oxide-semiconductor field-effect transistor (MOSFET) with floating body and charge storage layer which provide the functions of short- and long-term memories, respectively. It has very similar characteristics with those of the biological memory system in the sense that the transition between short- and long-term memories is performed by the repetitive learning. Spike timing-dependent plasticity (STDP) characteristics are closely investigated for the SFST device. It has been found from the simulation results that the connectivity between pre- and post-synaptic neurons has strong dependence on the relative spike timing among electrical signals. In addition, the neuromorphic system having direct connection between the SFST devices and neuron circuits are designed.

• 실천공학교육논문지
• /
• 제9권1호
• /
• pp.31-39
• /
• 2017

단기 현장실습 위주의 양적 성장과 대학 간 과다 경쟁으로 현장실습의 내실화가 요구되며 학생의 실무능력 향상과 현장실습을 통한 채용연계성을 높이기 위한 방안으로 장기현장실습 모형의 필요성이 높아지고 정부와 대학의 참여도 증가하는 추세이다. 금오공대와 3개 참여대학은 2015년부터 중소 중견기업의 R&D 인력 부족현상과 취업을 앞둔 대학생들의 고민을 해결하기 위한 방안으로 중소 중견기업 R&D 관련부서에서 6개월동안 장기현장실습을 통해 R&D 실무능력을 향상하고 취업역량을 강화하기 위해 R&D 장기현장실습 프로그램인 산업인턴을 실시하고 있다. 본 논문에서는 2015년과 2016년 산업인턴 운영사례에 대한 비교 분석을 통해 사전준비 단계부터 종료시점까지 장기현장실습을 통한 효과적인 연계취업 활성화 방안을 제안하였으며 취업률 비교와 만족도 조사 비교를 통해 그 결과를 확인하였다.

• 문화기술의 융합
• /
• 제9권6호
• /
• pp.1159-1172
• /
• 2023

우리는 본 연구를 통해 요양병원 간호사를 대상으로 직무스트레스, 셀프리더십 및 사회적 지지가 간호헙무성과에 미치는 영향을 확인하여 간호업무성과를 향상시키기 위한 구체적인 방안을 마련하는데 도움이 되고자 한다. 자료수집은 B시와 G시에 소재한 요양병원에 근무하고 있는 간호사를 대상으로 2018년 2월 1일부터 2월 25일까지 구조화된 설문지를 이용하여 시행되었다. 자료 분석은 SPSS WIN 22.0 통계프로그램을 이용하여 t-test, ANOVA, Pearson's correlation coefficients, Multiple Regression Analysis로 분석하였다. 요양병원 간호사의 간호업무성과에 영향을 미치는 요인은 셀프리더십(𝛽=.415, p<.001), 연령(𝛽=.251, p=.001), 사회적 지지(𝛽=.206, p<.001), 직무스트레스(𝛽=-.159, p=.001), 직위(𝛽=.102, p=.047) 순으로 나타났다. 따라서 요양병원 간호사의 업무 특성이 반영된 간호업무성과 관련한 중재 프로그램 개발 및 관련 연구의 기초자료로 활용될 수 있음을 기대한다.

• 한국콘텐츠학회논문지
• /
• 제18권6호
• /
• pp.679-690
• /
• 2018

이 연구는 자활사업 참가자들의 취 창업 의지에 대한 영향요인 및 자활사업 참여기간에 따라 취 창업 의지의 차이를 분석하고자 하였다. 자활사업 참가자들의 자활근로 형태, 자활사업 참여기간, 주관적 건강 상태, 주변 지인 관계, 취 창업 의지 등을 확인하기 위하여 2013년 및 2016년 인천광역시 10개 지역자활센터 참가자 대상 설문조사 결과를 분석하였으며, 자활사업 참가자들을 2013년과 2016년 참여자는 장기참여자, 2016년 참여자는 단기 참여자로 구분하였다. 분석 결과 전체 자활사업 참가자의 취 창업 의지에 영향을 주는 요인은 성별, 학력, 취 창업 경험, 자활급여 수급여부, 센터 직원과의 친밀도, 일에 대한 태도, 자활사업의 참여기간이었다. 장기 참가자의 취 창업의지에 영향은 주는 요인은 장애여부, 학력, 취 창업 경험, 자활급여 수급여부 등인 반면에, 단기참여자의 경우는 학력, 취 창업 경험여부, 자활급여 수급여부, 가족친밀도, 지역자활센터 직원과의 친밀도가 취 창업의지에 영향을 주고 있는 것으로 확인할 수 있다.

• 한국환경과학회지
• /
• 제10권1호
• /
• pp.27-33
• /
• 2001

In order to study the long-term change of heavy metal concentrations in the Kumho river water, water analysis was conducted at 13sites surrounding the Kumho river system for 18times from September 1993 to August 1999. Analytical items for the study of water quality are Cu, Zn, Cd, Cr, Fe, Mn and Pb. The six year term studied in this work was divided into Part I and Part II, which covers the period from September 1993 to August 1996 and the period from September 1996 to August 1999, respectively. The mean concentrations of Cu, Zn, Cd, Cr, Fe, Mn and Pb in the unit of ppm for the Part I period showed 0.032, 0.025, 0.006, 0.050, 0.053 and 0.019, respectively. The mean concentrations of Cu, Zn, Cd, Cr, Fe, Mn and Pb in the unit of ppm for the Part II period showed 0.001, 0.001, 0.001, 0.004, 0.020, 0.002 and 0.002, respectively. The heavy metal concentrations in the Kumho river water for te second period were found to be decreased by 1/32, 1/25, 1/6, 1/1.5, 1/2.5, 1/26.5 and 1/9.5 for Cu, Zn, Cd, Cr, Fe, Mn and Pb, respectively. The present results clearly indicate that the water quality in the Kumho river is improving in terms of heavy metal contaminations.

• Computers and Concrete
• /
• 제15권4호
• /
• pp.687-707
• /
• 2015

A finite element computer code for short-term analysis of steel-concrete composite structures is extended to study long-term effects under service loads, in the present work. Long-term effects are important in engineering design because they influence stress and strain distribution of the structural system and therefore contribute to the increment of deflections in these structures. For creep analysis, a rheological model based on a Kelvin chain, with elements placed in series, was employed. The parameters of the Kelvin chain were obtained using Dirichlet series. Creep and shrinkage models, proposed by the CEB FIP 90, were used. The shear-lag phenomenon that takes place at the concrete slab is usually neglected or not properly taken into account in the formulation of beam-column finite elements. Therefore, in this work, a three-dimensional numerical model based on the assemblage of shell finite elements for representing the steel beam and the concrete slab is used. Stud shear connectors are represented for special beam-column elements to simulate the partial interaction at the slab-beam interface. The two-dimensional representation of the concrete slab permits to capture the non-uniform shear stress distribution in the horizontal plane of the slab due to shear-lag phenomenon. The model is validated with experimental results of two full-scale continuous composite beams previously studied by other authors. Results are given in terms of displacements, bending moments and cracking patterns in order to shown the influence of long-term effects in the structural response and also the potentiality of the present numerical code.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제17권1호
• /
• pp.216-238
• /
• 2023

In intelligent transportation systems, traffic management is an important task. The accurate forecasting of traffic characteristics like flow, congestion, and density is still active research because of the non-linear nature and uncertainty of the spatiotemporal data. Inclement weather, such as rain and snow, and other special events such as holidays, accidents, and road closures have a significant impact on driving and the average speed of vehicles on the road, which lowers traffic capacity and causes congestion in a widespread manner. This work designs a model for multivariate short-term traffic congestion prediction using SLSTM_AE-BiLSTM. The proposed design consists of a Bidirectional Long Short Term Memory(BiLSTM) network to predict traffic flow value and a Convolutional Neural network (CNN) model for detecting the congestion status. This model uses spatial static temporal dynamic data. The stacked Long Short Term Memory Autoencoder (SLSTM AE) is used to encode the weather features into a reduced and more informative feature space. BiLSTM model is used to capture the features from the past and present traffic data simultaneously and also to identify the long-term dependencies. It uses the traffic data and encoded weather data to perform the traffic flow prediction. The CNN model is used to predict the recurring congestion status based on the predicted traffic flow value at a particular urban traffic network. In this work, a publicly available Caltrans PEMS dataset with traffic parameters is used. The proposed model generates the congestion prediction with an accuracy rate of 92.74% which is slightly better when compared with other deep learning models for congestion prediction.

• 대한인간공학회지
• /
• 제30권2호
• /
• pp.349-356
• /
• 2011

Objective: The purpose of this study was to analyze the risk factors of the musculoskeletal workload of mid-old-age female caregivers by identifying work postures and subjective symptoms. Method: This study was carried out on a total of 206 subjects 206 mid-old-age caregivers(45~65 years old) from November 2009 to April 2010: 206 mid-old-age caregivers (45~65 years old) at the long-term hospital. A questionnaires survey on general factors and subjective symptoms of subjects was conducted. The risk factors of the musculoskeletal workload evaluation method is based on OWAS, RULA, REBA according to occupation properties. Results: The analysis of the rates of the subjective symptoms showed that 78.6% subjects experience low back pain. The analysis of the work type showed that transfer is the highest rate(36.3%) and position change is the second(18.2%). The analysis of the work postures showed that the thrusted back with twisting position over $20^{\circ}$ is highest rate(37.4%), the bended back forward with twisting position is the second(27.5%). Conclusion: This study suggested that the need of preventive education for caregivers and workload improve. It is hoped that subsequent study on the difference of subjective symptoms between educated caregivers and non educated caregivers will be conducted.

• Safety and Health at Work
• /
• 제13권2호
• /
• pp.201-206
• /
• 2022

Background: The present objective was to verify whether burnout (emotional exhaustion [EE], depersonalization [DP] and low professional efficacy [PE]) is a risk factor for long-term sickness absence (LTSA; 30 consecutive days) from the teaching role. Methods: This was a prospective cohort study with two years of follow-up that investigated 509 elementary and high-school teachers. Burnout was identified by Maslach Burnout Inventory. Poisson regression with robust variance was used to adjust for possible confounders. Results: The incidence of LTSA was 9.4%. High EE levels were associated with LTSA in the crude analysis, but the association lost statistical significance after adjustments (for sex, age, perception of work-life balance, general self-rated health, chronic pain and depression). High DP levels were associated with this outcome, even after all adjustments (relative risk = 1.80; 95% confidence interval: 1.05-3.09). Low PE levels were not related to LTSA. Conclusion: The results reinforce the need to improve teachers' work conditions to reduce burnout, particularly DP, and its consequences.