• The Journal of Industrial Distribution & Business
• /
• v.11 no.7
• /
• pp.29-40
• /
• 2020

Purpose: In modern society, many urban problems are occurring, such as aging, hollowing out old city centers and polarization within cities. In this study, we intend to apply big data and machine learning methodologies to predict depression symptoms in the elderly population early on, thus contributing to solving the problem of elderly depression. Research design, data and methodology: Machine learning techniques used random forest and analyzed the correlation between CES-D10 and other variables, which are widely used worldwide, to estimate important variables. Dependent variables were set up as two variables that distinguish normal/depression from moderate/severe depression, and a total of 106 independent variables were included, including subjective health conditions, cognitive abilities, and daily life quality surveys, as well as the objective characteristics of the elderly as well as the subjective health, health, employment, household background, income, consumption, assets, subjective expectations, and quality of life surveys. Results: Studies have shown that satisfaction with residential areas and quality of life and cognitive ability scores have important effects in classifying elderly depression, satisfaction with living quality and economic conditions, and number of outpatient care in living areas and clinics have been important variables. In addition, the results of a random forest performance evaluation, the accuracy of classification model that classify whether elderly depression or not was 86.3%, the sensitivity 79.5%, and the specificity 93.3%. And the accuracy of classification model the degree of elderly depression was 86.1%, sensitivity 93.9% and specificity 74.7%. Conclusions: In this study, the important variables of the estimated predictive model were identified using the random forest technique and the study was conducted with a focus on the predictive performance itself. Although there are limitations in research, such as the lack of clear criteria for the classification of depression levels and the failure to reflect variables other than KLoSA data, it is expected that if additional variables are secured in the future and high-performance predictive models are estimated and utilized through various machine learning techniques, it will be able to consider ways to improve the quality of life of senior citizens through early detection of depression and thus help them make public policy decisions.

• The Journal of the Korea Contents Association
• /
• v.16 no.9
• /
• pp.491-501
• /
• 2016

As the population of silver generation is increased, there are emerged the aging society and the silver industry as social issues. Previous studies in the fields of library & information science, education, the industrial art science suggested the need for fairy tale books for the silver generation, and from the design perspective, the characteristics of fairy tale books for the silver generation were analyzed. A fairy tale book is not only a medium delivering some information, but also a platform that a writer provides services to readers. Therefore, the purpose of this study aimed to suggest the importance of sensual experience on the design of fairy book for the silver generation, and to analyze such kind of fairy book's format, grid, typography, type, edition structure, image, layout, cover, paper, printing and production on the basis of five senses. According to the findings of this study, it was found that fairy tale books for the silver generation had different characteristics(type, picture, color, paper, etc.) from those for children, and it would be desirable to make designs for fairy tale books for the silver generation under the silver generation's esthetics standards with considering the silver generation's physiological, psychological factors. It is expected that this study would become a good foundation for more intensive researches for fairy tale books for the silver generation in future and would also be theoretically helpful in developing fairy tale books for the silver generation in future.

• The Journal of the Korea Contents Association
• /
• v.16 no.9
• /
• pp.443-450
• /
• 2016

Korean biopharmaceutical industry is a high value-added industries of the country as a key business strategy of the country. The overseas market is accelerating rapidly due to drug demand according to population aging, new drug R&D investment performance visualization, changes in biopharmaceutical R&D center, strategic foreign technology exports, and the active support of government. Therefore, the domestic pharmaceutical companies also should enhance the competitiveness as global pharmaceutical companies and need to build the image of their own company that can be trusted by consumers. This study compared and analyzed visual characteristics shown in the CI symbol mark and age-specific preferences of domestic pharmaceutical companies recognizing the importance of CI as a marketing tool. As a result, preference for the symbol mark had been shown to be significantly higher preference of the old logotype as the age group is higher being proportional to awareness. In addition, the picture-type symbol mark was totally preferred rather than the word mark. Among the picture-type symbol mark, the form of the nature was strongly preferred rather than abstract form. The company also requires a sense of responsibility for recognizing changes in the mass to the globalization. It is hoped that this study will help to develop symbol mark direction as the basis for the identity strategies to improve the image of domestic pharmaceutical companies with global competitiveness.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.21 no.11
• /
• pp.2095-2102
• /
• 2017

In this paper, we implemented the elderly home training contents provide individual exercise prescription according to the user's athletic ability and provide personalized program to the elderly individual. Health promotion is essential for overcoming the low health longevity of senior citizens preparing for aging population. Therefore, the lower body strengthening exercise to prevent falls is crucial to prevent a fall in the number of deaths of senior citizens. In this game model, the elderly are aiming at home training contents that can be found to feel that the elderly are going out of walk and exercising in the natural environment. To achieve this, Kinect extracts a specific bone model provide by the Kinect Sensor to generate the feature vectors and recognizes the movements and motion of the user. The recognition test using the Kinect sensor showed a recognition rate of about 80 to 97%.

• Journal of rehabilitation welfare engineering & assistive technology
• /
• v.5 no.1
• /
• pp.17-25
• /
• 2011

This paper aims to find the optimal control gain for enhancing the convenience of electric walking frames and design a control algorithm. With the recent advances in medical technology, there has been a rapid increase in the aging population and a variety of mobile walking frames have been developed for improvement of the quality of life. However, the manual walking frames of such mobile aids don't have any electric motor which helps facilitate elderly users' walking and thus are not efficient enough for the old people of weak strength to use especially when moving on uneven surfaces such as slopes or thresholds. The types of electric walking frames have been developed to overcome such inefficiency. Electric walking frames require users' control operations for motor driving unlike manual frames. Therefore, when they are not properly handled, it causes considerable inconvenience to their users. The present study compared the electric walking frames with manual ones in terms of operational convenience and attempted to improve the user convenience of walking frames varying the control value for user convenience based on certain standards. This paper presented a haptic sensor designed to recognize the will to walk and measure the degree of convenience and proposed a control algorithm for improvement of convenience. For user convenience, this paper evaluated the relative convenience of walking frames in view of changing differences between the center of vehicle (COV) and the center of position (COP). With the employment of an electric walking frame and a new measuring method, all the processes were experimentally tested and validated.

• Journal of radiological science and technology
• /
• v.39 no.2
• /
• pp.263-271
• /
• 2016

The market size of the bone absorptiometric X-ray system and the number of its approval by Ministry of Food and Drug Safety (MFDS) has annually increased, with a trend of increasing aging population and osteoporosis patients. For approval of manufactured or imported medical devices in Republic of Korea, it is required to submit its technical document. Therefore, it is need to develop the technical document guideline for the bone absorptiometric X-ray system for manufacturers, importers and reviewers. First of all, the technical documents which were already approved were examined and analyzed through MFDS approval administration system. Second, safety and performance test standards and methods that match international standards were drawn after conducting survey of the market status and the technology development trend for it, with examination and analysis of applicable domestic and overseas standards. Third, by operating industry-research-government cooperation, the guideline draft on writing technical document for the bone absorptiometric X-ray system was discussed, collecting their opinion. As a result, it is suitable to international and domestic condition, includes test evaluation methods and offer various information with appropriate examples to civil petitioner, when they write the technical documents.

• Journal of Cadastre & Land InformatiX
• /
• v.48 no.1
• /
• pp.169-186
• /
• 2018

The social influence of the elderly population will accelerate in a rapidly aging society. The purpose of this study is to establish a methodology for extracting vulnerable districts of the welfare of the aged through machine learning(ML), artificial neural network(ANN) and geospatial analysis. In order to establish the direction of analysis, this progressed after an interview with volunteers who over 65-year old people, public officer and the manager of the aged welfare facility. The indicators are the geographic distance capacity, elderly welfare enjoyment, officially assessed land price and mobile communication based on old people activities where 500 m vector areal unit within 15 minutes in Yongin-city, Gyeonggi-do. As a result, the prediction accuracy of 83.2% in the support vector machine(SVM) of ML using the RBF kernel algorithm was obtained in simulation. Furthermore, the correlation result(0.63) was derived from ANN using backpropagation algorithm. A geographically weighted regression(GWR) was also performed to analyze spatial autocorrelation within variables. As a result of this analysis, the coefficient of determination was 70.1%, which showed good explanatory power. Moran's I and Getis-Ord Gi coefficients are analyzed to investigate spatially outlier as well as distribution patterns. This study can be used to solve the welfare imbalance of the aged considering the local conditions of the government recently.

• Journal of dental hygiene science
• /
• v.10 no.2
• /
• pp.71-77
• /
• 2010

The purpose of this study was to examine the knowledge of dental hygienists about the elderly and their attitude toward them as dental hygienists played vital roles in oral health care for elderly patients. It's ultimately meant to help improve their right understanding of the elderly to provide quality oral health care service to the elderly population in preparation for an aging society. The subjects in this study were 241 dental hygienists, on whom a self-administered survey was implemented. After the collected data were analyzed, the following findings were given: They got a mean of $12.40{\pm}2.99$ out of possible 22 points on knowledge of the elderly. Their general characteristics and characteristics related to the elderly made no statistically significant differences to their knowledge. As for attitude toward the elderly, they got a mean of $3.13{\pm}0.28$. Concerning links between their general characteristics and attitude toward the elderly, the better-educated dental hygienists took a more favorable attitude to the elderly.

• Journal of the Economic Geographical Society of Korea
• /
• v.21 no.2
• /
• pp.156-172
• /
• 2018

Recently, Korea suffered serious social conflicts between generations due to population aging. Anxiety about depletion of the National Pension Fund is one of the social problem to young generation, because of the uncertainty that they will not able to receive the pension they paid. At the same time, due to the high housing rent in Seoul metropolitan area, the demand for housing welfare and supply of public rental housing for young generation was increased. There are some opinions about using National Pension Fund to supplying public rental houses in the society. In this research, we were concentrated on finding the suitable areas for the public rental house using National Pension Fund. First, verifying the validity of the investment using National Pension Fund for the public rental housing was done. And spatial statistical methods were applied to explore the suitable areas for the public rental housing in Seoul metro area. Finally, this study divided young people into three groups and analyzed ways to supply public rental housing for each group in proper areas by their demand. This research's ultimate goals are mitigating the conflicts between the generations and achieving both profitability and publicness of National Pension Fund.

• Journal of Acupuncture Research
• /
• v.37 no.2
• /
• pp.102-109
• /
• 2020

Background: Due to the aging population in Korea, knee osteoarthritis (KOA) has become an increasingly common condition. Many patients with KOA prefer analgesics, herbal medicines, acupuncture, or exercise, rather than arthroscopic surgery or a knee replacement. Gyebutang (GB) granules are a herbal extract widely used to treat KOA in traditional Korean medicine, but there is insufficient evidence of its efficacy and safety. Methods: A multicenter, randomized, assessor-blinded, 2-armed parallel, controlled clinical trial has been designed to investigate the efficacy and safety of GB combined with acupuncture for the treatment of KOA. There will be 100 patients with KOA enrolled in the study from 3 traditional Korean medicine hospitals. The participants will be randomly allocated to an experimental group (GB and acupuncture) or a control group (celecoxib and acupuncture) in a 1:1 ratio. Both groups will receive acupuncture treatment once a week for 6 weeks; one group will receive GB and the other will receive celecoxib for the same duration. Results: The primary outcome will be the change of knee osteoarthritic pain, based on scores on a 100 mm visual analog scale. The secondary outcomes will be scores on a numeric rating scale, the Western Ontario and McMaster Universities osteoarthritis index, patient global assessment, European quality of life 5-dimension 5-level scale, and adverse events. Conclusion: The results of this study will provide evidence of efficacy and safety of GB as a treatment for patients with KOA.