• Health Policy and Management
• /
• v.22 no.4
• /
• pp.522-537
• /
• 2012

The purpose of this study was to analyze the level of the cognitive function and activities of daily living of the beneficiary older adults at home based on Korean Long-term Care Insurance System. A cross-sectional descriptive survey was conducted from November 2010 to May 2011, the final respondents were 1,026 beneficiary older adults taking home visit care covered in Korean long-term care insurance system. The questionnaire included general characteristics of subjects, cognitive function, ADL(Activity of daily living). The data was analyzed using the SPSS 20.0 version. There was significant difference in cognitive function and ADL between 1st Grade, 2nd Grade and 3rd Grade of long-term care classification. The correlated factors of cognitive function were ADL, long-term care grade, disability of arm and leg, limitation of joint, bed sore and tube feeding. The correlated factors of ADL were cognitive function, long-term care grade, disability of arm and leg, bed sore and tube feeding. This study suggests that cognitive functions have to be mainly considered in long-term care grade. It is necessary to make an effort to develop long-term care grade in Korean long-term care insurance system an cognitive function improvement program for the beneficiary older adults. Above all things government will be seriously contemplating of revise contents for long-term care grade to provide quality of care for the older adults.

• The Journal of the Korea Contents Association
• /
• v.11 no.6
• /
• pp.1-7
• /
• 2011

The methodology of KOSPI forecast has been considered as one of the most difficult problem to develop accurately since short-term KOSPI is correlated with various factors including politics and economics. In this paper, we presents a methodology for forecasting short-term trends of stock price for five days using the feature selection method based on a neural network with weighted fuzzy membership functions (NEWFM). The distributed non-overlap area measurement method selects the minimized number of input features by removing the worst input features one by one. A technical indicator are selected for preprocessing KOSPI data in the first step. In the second step, thirty-nine numbers of input features are produced by wavelet transforms. Twelve numbers of input features are selected as the minimized numbers of input features from thirty-nine numbers of input features using the non-overlap area distribution measurement method. The proposed method shows that sensitivity, specificity, and accuracy rates are 72.79%, 74.76%, and 73.84%, respectively.

• Journal of Korean Society of Transportation
• /
• v.27 no.4
• /
• pp.127-135
• /
• 2009

Most traffic information that drivers receive while driving are stored in their short-term memory and disappear within a few seconds. Contemporary modeling approaches using a dummy variable can't fully explain this phenomenon. As such, this study proposes to use utility functions of real-time in-vehicle traffic safety information (IVTSI), analyzing its safety impacts based on empirical data from an on-site driving experiment at signalized intersection approach with a limited visibility. For this, a driving stability evaluation model is developed based on driver's driving speed choice, applying an ordered probit model. To estimate the specified utility functions, the model simultaneously accounts for various factors, such as traffic operation, geometry, road environment, and driver's characteristics. The results show three significant facts. First, a normal density function (exponential function) is appropriate to explain the utility of IVTSI proposed under study over time. Second, the IVTSI remains in driver's short-term memory for up to nearly 22 second after provision, decreasing over time. Three, IVTSI provision appears more important than the geometry factor but less than the traffic operation factor.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.10 no.2
• /
• pp.138-145
• /
• 2000

A identification algorithm that finds optimal fuzzy membership functions and rule base to fuzzy model isproposed and a fuzzy controller is designed to get more accurate position and velocity control of wheeled mobile robot. This procedure that is composed of three steps has its own unique process at each step. The elements of output term set are increased at first step and then the rule base is varied according to increase of the elements. The adjusted system is in competition with system which doesn't include any increased elements. The adjusted system will be removed if the system lost. Otherwise, the control system is replaced with the adjusted system. After finished regulation of output term set and rule base, searching for input membership functions is processed with constraints and fine tuning of output membership functions is done.

• The Journal of Information Technology
• /
• v.4 no.2
• /
• pp.117-127
• /
• 2001

A self-structured neural network algorithm that finds optimal fuzzy membership functions and nile base to fuzzy model is proposed and a fuzzy-neural network controller is designed to get more accurate position and velocity control of wheeled mobile robot. This procedure that is composed of three steps has its own unique process at each step. The elements of output term set are increased at first step and then the rule base Is varied according to increase of the elements. The adjusted controller is in competition with controller which doesn't include any increased elements. The adjusted controller will be removed if the control-law lost. Otherwise, the controller is replaced with the adjusted system. After finished regulation of output term set and rule base, searching for input membership functions is processed with constraints and fine tuning of output membership functions is done.

• Health Policy and Management
• /
• v.4 no.2
• /
• pp.27-57
• /
• 1994

The objective of running a long-term care institution is to provide services helpful for maintaining, supporting, and improving elderlies' optimum level of physical, mental, and psychosocial functioning. For the purpose of analyzing the current situations of institutional long term care facilities in Korea, 27 facilities were selected proportionately from each of the cities and provinces, out of the total 152 facilities. About 20% of those who were institutionalized during 25 August through 2 Qctober 1993, the 391 elderlies were chosen on a systematic random basis. The instrument of this study was developed by modifying the tools of CARE, MAI and PCTC. A multivariate approach of discriminant analysis and clustering technique were employed for this study. The Stiudy reveals that there is no clear differentiation of goals and functions among the longterm care institutions in Korea. Staffing patte군 of long-term care facilities shows a shortage of nurses, physical therapists, and dieticians. The linkage between acute care facilities and long-term care is weak, and administration of long-term care faciltiy is carried out by non-professionals. They are responsible for assessing health status before entering the facility, and evaluating elderlies' care. Therefore, it is not surprising to find that most of the facilities have accommodated agede regardless of their real needs and health status. Based upon findings of the analysis, this study has classified long-term care facilities into four types : Type I is to help elderlies maintain independence in daily living activities. Type II facilities have the objective of maintaining and improving the current level of elderlies' function. Type III is to maintain maximum independence of elderlies in activities of daily living. And Type IV is identified for the group of facilities designed to restore or improve functional abilities of elderlies. In conclusion, the following suggestions are made : the need for long-term care should be assessed by multidimensional measurement. Institutional long-term care facilities should be classified and developed in response to type of type of care and service need. Both acute and long-term care facilities should be linked together in order to support the evaluation of service operation and program development.

• Journal of Ginseng Research
• /
• v.35 no.4
• /
• pp.457-461
• /
• 2011

A 24-week randomized open-label study with Korean red ginseng (KRG) showed cognitive benefits in patients with Alzheimer's disease. To further determine long-term effect of KRG, the subjects were recruited to be followed up to 2 yr. Cognitive function was evaluated every 12 wk using the Alzheimer's Disease Assessment Scale (ADAS) and the Korean version of the Mini Mental Status Examination (K-MMSE) with the maintaining dose of 4.5 g or 9.0 g KRG per d. At 24 wk, there had been a significant improvement in KRG-treated groups. In the long-term evaluation of the efficacy of KRG after 24 wk, the improved MMSE score remained without significant decline at the 48th and 96th wk. ADAS-cog showed similar findings. Maximum improvement was found around week 24. In conclusion, the effect of KRG on cognitive functions was sustained for 2 yr follow-up, indicating feasible efficacies of long-term follow-up for Alzheimer's disease.

• The Journal of Korean Medicine
• /
• v.38 no.2
• /
• pp.31-40
• /
• 2017

Objectives: We investigated the effect of acupuncture on memory function in relation with neurogenesis in old rats. Methods: In this study, a step-down avoidance task for short-term memory and Y-maze task for spatial memory capability were conducted. Western blot analysis for brain-derived neurotorphic factor (BDNF) and tyrosine kinase B (TrkB), and immunohistochemistry for 5-bromo-2'-deoxyuridine (BrdU) were performed. Results: Short-term memory and spatial memories were decreased in the old-aged rats. Expressions of BDNF and TrkB in the hippocampus were significantly decreased in the old-aged rats. Neurogenesis in the hippocampal dentate gyrus was also decreased in the old-aged rats. However, acupuncture treatment alleviated impairment of short-term and spatial memories induced by ageing. Acupuncture also increased the expressions of BDNF and TrkB and enhanced neurogenesis in the hippocampus. The present study showed that acupuncture alleviated ageing-induced short-term and spatial memory loss by increasing of BDNF and neurogenesis. Acupuncture at ST41-acupoint showed most potent effect than at ST36-acupoint or non-acupoint. Conclusions: Acupuncture might be used as the effective therapeutic modality to ameliorate the age-related decrease of brain functions.

• Journal of Technology Innovation
• /
• v.5 no.1
• /
• pp.150-180
• /
• 1997

This article introduces the five functions of the national innovation system(NIS). As one of social systems in the national level, the five generic functions of open system - production, boundary spanning, maintenance, adaptation, management functions - are applied to the NIS. The production function is the primary process, which produces innovative products and services of the NIS. The boundary spanning function is the function of procuring input and disposing the innovation output or aiding in these processes. Experienced R&D human resources, R&D funds, technology etc. are some of the components of the input of the NIS. The maintenance function is responsible for maintaining smooth operation and upkeeping the system in terms of various conditions. The adaptation function is to help the system change and adapt, and scan the environment for problems, opportunites, and technological developments. It has outward orientation, from the long-term view for the survival of the system. The management function carries out planning and control of the overall activities for the other four functions in order to effectiving run the system as a whole. Finally, this article discusses implications of the diagnosis of the national innovation system and the decision making process of S&T policy.

• International Journal of Internet, Broadcasting and Communication
• /
• v.14 no.1
• /
• pp.136-141
• /
• 2022

A very complex task in deep learning such as image classification must be solved with the help of neural networks and activation functions. The backpropagation algorithm advances backward from the output layer towards the input layer, the gradients often get smaller and smaller and approach zero which eventually leaves the weights of the initial or lower layers nearly unchanged, as a result, the gradient descent never converges to the optimum. We propose a two-factor non-saturating activation functions known as Bea-Mish for machine learning applications in deep neural networks. Our method uses two factors, beta (𝛽) and alpha (𝛼), to normalize the area below the boundary in the Mish activation function and we regard these elements as Bea. Bea-Mish provide a clear understanding of the behaviors and conditions governing this regularization term can lead to a more principled approach for constructing better performing activation functions. We evaluate Bea-Mish results against Mish and Swish activation functions in various models and data sets. Empirical results show that our approach (Bea-Mish) outperforms native Mish using SqueezeNet backbone with an average precision (AP50val) of 2.51% in CIFAR-10 and top-1accuracy in ResNet-50 on ImageNet-1k. shows an improvement of 1.20%.