• 한국원자력학회:학술대회논문집
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• 한국원자력학회 2001년도 춘계학술발표회요약집
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• pp.376-376
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• 2001

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 1999년도 Japanese Journal of Medical Physics
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• pp.86-87
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• 1999

• 한국광과학회:학술대회논문집
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• 한국광과학회 2002년도 정기총회 및 제9회 광과학 학술심포지움 논문초록
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• pp.66-66
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• 2002

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1997년도 춘계학술대회 학술발표 논문집
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• pp.180-184
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• 1997

This paper presents the fuzzy neural network which utilizes a fuzzified Kohonen learning uses a fuzzy membership value, a function of the iteration, and a intra-membership value instead of a learning rate. The IRIS data set if used to test the fuzzy neural network. The test result shows the performance of the fuzzy neural network depends on k and the vigilance parameter T.

• 한국자동차공학회논문집
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• 제18권1호
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• pp.86-92
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• 2010

The fuel is not injected when the driver doesn't push acceleration pedal of a vehicle with engine speed higher than about 1,500rpm above mid vehicle speed range. This is called "fuel-cut function" and almost every modern vehicle is equipped with this function. This is activated on downhill part of a highway most often. Therefore the vehicle-exhausted $CO_2$ can be zero in this downhill part if the driver could recognize this part of highway. We compared the vehicle-exhausted $CO_2$ emission when using fuel-cut function with the $CO_2$ mass when without using this function in this study. We found that the $CO_2$ emission reduced with fuel-cut function and measured the reduction rate of vehicle-exhausted $CO_2$ mass with this test results. The exhausted $CO_2$ mass of a passenger car(2,000cc engine volume) is reduced by 4% with this function used. This $CO_2$ reduction effect can be achieved if the downhill part of a highway is painted with a specific color. And this road painting can be included in the highway road rehabilitation policy.

• 대한통합의학회지
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• 제5권2호
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• pp.33-42
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• 2017

Purpose: This study examined the effects of the fumanet exercise program on the cognitive function and fall down-related physical fitness factor in elderly people. Method: The study period was May 2-June 24, 2016. The participants included 20 elderly persons (control group 10, experimental group 10) who registered at the day-care Center in G. City. Descriptive statistics were used for the analysis of the control and experimental groups' general characteristics. The chi-square and Mann-Whitney U tests were conducted to identify the two groups' general characteristics' and dependent variables' homogeneity. The Wilcoxon signed-rank test was used to compare the pre-and post-intervention cognitive function and fall down-related physical fitness factor, and a Mann-Whitney U test was used to analyze the rate of cognitive function and fall down-related physical fitness factor changes between the groups after the intervention. Result: The participants' fall down-related physical fitness factors (balance, gait, leg strength) increased and memory in the cognitive function sub-area improved in the participants who participated in the fumanet exercise program. The amount of change in gait was significantly different between the control and experimental groups. Conclusion: The fumanet exercise program included gait training using the learn, remember and repeat phased steps. Therefore, this study proposes using the fumanet exercise program to improve the elderly's cognitive function and physical fitness factor.

• Safety and Health at Work
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• 제3권4호
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• pp.278-286
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• 2012

Objectives: Authors investigated the pattern of the rate of occupational injuries and illnesses (ROII) at the level of enterprises in order to build a network for exchange of experience and knowledge, which would contribute to workers' safety and health through safety climate of workplace. Methods: Occupational accidents were analyzed at the manufacturing work site unit. A two step clustering process for the past patterns regarding the ROII from 2001 to 2009 was investigated. The ROII patterns were categorized based on regression analysis and the patterns were further divided according to the subtle changes with Mahalanobis distance and Ward's linkage. Results: The first clustering of ROII through regression analysis showed 5 different functions; 29 work sites of the linear function, 50 sites of the quadratic function, 95 sites of the logarithm function, 62 sites of the exponential function, and 54 sites of the sine function. Fourteen clusters were created in the second clustering. There were 3 clusters in each function categorized in the first clustering except for sine function. Each cluster consisted of the work sites with similar ROII patterns, which had unique characteristics. Conclusion: The five different patterns of ROII suggest that tailored management activities should be applied to every work site. Based on these differences, the authors selected exemplary work sites and built a network to help the work sites to share information on safety climate and accident prevention measures. The causes of different patterns of ROII, building network and evaluation of this management model should be evaluated as future researches.

• 한국농공학회논문집
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• 제63권1호
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• pp.103-116
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• 2021

Analysis of runoff is substantial for effective water management in the watershed. Runoff occurs by reaction of a watershed to the rainfall and has non-linearity and uncertainty due to the complex relation of weather and watershed factors. ANN (Artificial Neural Network), which learns from the data, is one of the machine learning technique known as a proper model to interpret non-linear data. The performance of ANN is affected by the ANN's structure, the number of hidden layer nodes, learning rate, and activation function. Especially, the activation function has a role to deliver the information entered and decides the way of making output. Therefore, It is important to apply appropriate activation functions according to the problem to solve. In this paper, ANN models were constructed to estimate runoff with different activation functions and each model was compared and evaluated. Sigmoid, Hyperbolic tangent, ReLU (Rectified Linear Unit), ELU (Exponential Linear Unit) functions were applied to the hidden layer, and Identity, ReLU, Softplus functions applied to the output layer. The statistical parameters including coefficient of determination, NSE (Nash and Sutcliffe Efficiency), NSEln (modified NSE), and PBIAS (Percent BIAS) were utilized to evaluate the ANN models. From the result, applications of Hyperbolic tangent function and ELU function to the hidden layer and Identity function to the output layer show competent performance rather than other functions which demonstrated the function selection in the ANN structure can affect the performance of ANN.

• 한국학교ㆍ지역보건교육학회지
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• 제22권3호
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• pp.83-96
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• 2021

Background & objectives: Cognitive function decline is a main factor influencing the overall life of the elderly and places a burden of society. The aime of this study was to investigate the risk factors of cognitive function decline of elderly living alone and living with a spouse. Methods: This study used the Korean Longitudinal Study of Ageing from 2014 to 2018. 243 older adults who lived alone and 1,155 lived with a spouse with the Korean version of Mini Mental State Examination scores in normal range at the time of 2014 were included in the analysis. Logistic regression analysis was conducted to determine the difference of risk factors affecting cognitive function decline between in elderly living alone and elderly living with a spouse. Results: Cognitive function decline incidence rate of elderly living alone was 30.5% and the elderly living with a spouse showed 23.0%. According to the results of logistic regression analysis, the risk factors of cognitive function decline in the elderly living alone was age and residential area, while in the elderly living with a spouse were age, education level, social networks, and depression. Conclusions: The factors that affect the cognitive function decline of the elderly living alone and the elderly living with a spouse were different. Accordingly, other measures to prevent cognitive decline are necessary.

• 대한물리치료과학회지
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• 제28권3호
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• pp.11-29
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• 2021

Background: The purpose of this study is to investigate the effects of virtual reality on gait, balance, and upper extremity functions compared to other independent variables or no variables. Additionally, the possibility of virtual reality for stroke patients was discussed. Design: Meta-analysis. Methods: The search for this study was a search term that combined stroke, virtual reality, and training, and the electronic search was conducted through EMBASE, MEDLINE, and Cochrane Library. As a result of the search, 21 studies satisfying the selection criteria of the target study were confirmed as the final analysis target. This study consisted of 21 randomized experimental studies and 21 randomized controlled trials, and the total number of participants was 642. [Experimental group (n=314), control group (n=328); total 642]. As a result of the study, upper extremity function was assessed using a box and block test, a modified Ashworth scale, and a scale including range of motion. The balance was evaluated by the berg balance scale. Gait was a Timed Up and Go test (TUG), stride length, and gait function. Scales including a walking rate scale were evaluated. The effect size for the intervention of the analytical study was meta-analyzed with the RevMan 5.3.3 program of the Cochrane library. Results: The results of the study showed that the function of walking was statistically significant. Balance showed statistically significant results. The upper extremity function showed no statistically significant results. Conclusion: Through this rehabilitation treatment by applying virtual reality environment to the rehabilitation of stroke patients in the future can be proposed as an effective intervention method for the balance and gait function of stroke patients.