• Title/Summary/Keyword: residential development

Search Result 1,183, Processing Time 0.024 seconds

Comparative analysis of dietary behavior and nutrient intake of elderly in urban and rural areas for development of "Village Lunch Table" program: Based on 2014 Korea National Health and Nutrition Examination Survey data (농촌 노인의 마을 밥상 개선 프로그램 개발을 위한 도시와 농촌 노인의 식생활 행태 및 영양소 섭취 상태 비교분석 : 2014년 국민건강영양조사 자료를 이용하여)

  • Lee, Youngmi;Choi, Yourim;Park, Hae Ryun;Song, Kyung Hee;Lee, Kyung Eun;Yoo, Chang;Lim, Young Suk
    • Journal of Nutrition and Health
    • /
    • v.50 no.2
    • /
    • pp.171-179
    • /
    • 2017
  • Purpose: We conducted comparative analysis of dietary behavior and food and nutrient intakes of Korean elderly in urban and rural areas using the 2014 Korea National Health and Nutrition Examination Survey (KNHANES). Methods: This study was conducted on 1,239 participants (urban elderly: 867, rural elderly: 372) aged 65 years and over who participated in the health examination and nutrition survey in the 6th 2014 KNHANES. Dietary behaviors, including skipping meals, eating out frequencies, and food and nutrient intakes were analyzed using 24-hour recall data. Analysis of complex sample design data through SPSS 19.0 was used for the analysis. Results: The rate of skipping dinner was higher in urban (6.5%) than in rural elderly (3.6%) (p < 0.05), and the frequency of eating out per week of urban elderly (1.73) was higher than that of rural elderly (1.35) (p < 0.001). The rural elderly consumed a greater amount of grain compared to urban elderly, whereas consumption of water, seaweed food, and dairy products was lower in rural than in urban areas (p < 0.05). The rural elderly consumed significantly less highly unsaturated fatty acids, n-6 fatty acids, phosphorus, iron, vitamin A, carotene, niacin, and vitamin C in comparison with elderly in urban areas. Comparison of the percentages of Dietary Reference Intakes for Koreans (KDRIs) between the two groups showed that intakes of vitamin A and vitamin C were significantly lower in the rural elderly than in urban elderly. Conclusion: The elderly in rural areas showed unbalanced food and nutrient intakes compared to the elderly in urban areas. Therefore, customized nutrition education according to residential areas should be developed and provided to rural elderly to improve their health and nutritional status.

Bankruptcy Forecasting Model using AdaBoost: A Focus on Construction Companies (적응형 부스팅을 이용한 파산 예측 모형: 건설업을 중심으로)

  • Heo, Junyoung;Yang, Jin Yong
    • Journal of Intelligence and Information Systems
    • /
    • v.20 no.1
    • /
    • pp.35-48
    • /
    • 2014
  • According to the 2013 construction market outlook report, the liquidation of construction companies is expected to continue due to the ongoing residential construction recession. Bankruptcies of construction companies have a greater social impact compared to other industries. However, due to the different nature of the capital structure and debt-to-equity ratio, it is more difficult to forecast construction companies' bankruptcies than that of companies in other industries. The construction industry operates on greater leverage, with high debt-to-equity ratios, and project cash flow focused on the second half. The economic cycle greatly influences construction companies. Therefore, downturns tend to rapidly increase the bankruptcy rates of construction companies. High leverage, coupled with increased bankruptcy rates, could lead to greater burdens on banks providing loans to construction companies. Nevertheless, the bankruptcy prediction model concentrated mainly on financial institutions, with rare construction-specific studies. The bankruptcy prediction model based on corporate finance data has been studied for some time in various ways. However, the model is intended for all companies in general, and it may not be appropriate for forecasting bankruptcies of construction companies, who typically have high liquidity risks. The construction industry is capital-intensive, operates on long timelines with large-scale investment projects, and has comparatively longer payback periods than in other industries. With its unique capital structure, it can be difficult to apply a model used to judge the financial risk of companies in general to those in the construction industry. Diverse studies of bankruptcy forecasting models based on a company's financial statements have been conducted for many years. The subjects of the model, however, were general firms, and the models may not be proper for accurately forecasting companies with disproportionately large liquidity risks, such as construction companies. The construction industry is capital-intensive, requiring significant investments in long-term projects, therefore to realize returns from the investment. The unique capital structure means that the same criteria used for other industries cannot be applied to effectively evaluate financial risk for construction firms. Altman Z-score was first published in 1968, and is commonly used as a bankruptcy forecasting model. It forecasts the likelihood of a company going bankrupt by using a simple formula, classifying the results into three categories, and evaluating the corporate status as dangerous, moderate, or safe. When a company falls into the "dangerous" category, it has a high likelihood of bankruptcy within two years, while those in the "safe" category have a low likelihood of bankruptcy. For companies in the "moderate" category, it is difficult to forecast the risk. Many of the construction firm cases in this study fell in the "moderate" category, which made it difficult to forecast their risk. Along with the development of machine learning using computers, recent studies of corporate bankruptcy forecasting have used this technology. Pattern recognition, a representative application area in machine learning, is applied to forecasting corporate bankruptcy, with patterns analyzed based on a company's financial information, and then judged as to whether the pattern belongs to the bankruptcy risk group or the safe group. The representative machine learning models previously used in bankruptcy forecasting are Artificial Neural Networks, Adaptive Boosting (AdaBoost) and, the Support Vector Machine (SVM). There are also many hybrid studies combining these models. Existing studies using the traditional Z-Score technique or bankruptcy prediction using machine learning focus on companies in non-specific industries. Therefore, the industry-specific characteristics of companies are not considered. In this paper, we confirm that adaptive boosting (AdaBoost) is the most appropriate forecasting model for construction companies by based on company size. We classified construction companies into three groups - large, medium, and small based on the company's capital. We analyzed the predictive ability of AdaBoost for each group of companies. The experimental results showed that AdaBoost has more predictive ability than the other models, especially for the group of large companies with capital of more than 50 billion won.

A Study on the Landscape Philosophy of Hageohwon Garden (별업 하거원(何去園) 원림에 투영된 조영사상 연구)

  • Shin, Sang-Sup;Kim, Hyun-Wuk;Kang, Hyun-Min
    • Journal of the Korean Institute of Traditional Landscape Architecture
    • /
    • v.30 no.1
    • /
    • pp.46-56
    • /
    • 2012
  • The research results of tracing the Landscape Philosophy of Hageowon garden(何去園) in Musu-dong, Daejon of Youhwadang, Kwon, Iijin(權以鎭, 1668-1734) is as below. The ideological background of the protagonist reflected in Hageowon is the Hyoje Ideology(filial piety and brotherly love, 孝弟) of Sinjongchuwon(painstakingly caring for one's ancestors), Musil ideology(pursuing ethical diligence and truthful mind, 務實) based on sadistic tradition and ethical rationalism, Confucionist Eunil Ideology(ideology on seclusion, 隱逸) of Cheonghanjiyeon(quiet relaxation, 淸閒之燕), and the Pungryu ideology(appreciation for the arts, 風流) of Taoism in the Taoist style. Thus, by substituting these ideological values into a space called Hageowon, the Byulup gardens(別業) such as the Symbolic garden(象徵園), meaning gaeden(意園), and miniascape garden(縮景園) were able to be constructed. 2) The space organization system of Hageowon is generally classified into three phases considering the hierarchy. The first territory is the transitional space having residential features, which is an area to reach peach tree - road(Taoist world 桃經) from Youhwadang(有懷堂). The second territory is a monumental memorial space where the Yocheondae(繞千臺), Jangwoodam(丈藕潭), Hwagae(花階), and the ancestral graves take place, centering on the yards of Sumanheon(收漫軒), and the third territory is the secluded space in the eastern outer garden where the mountain stream flows from the north to south and which is the vein of the left-hand blue dragon(靑龍) of the guardian mountain of Hageowon. 3) Symbolically, the first phase has symbolized the space as a meaningful scenery by overlapping the Confucionist place of Youhwadang - Gosudae(孤秀臺) - Odeokdae(五德臺), and the mystic world of Jukcheondang(竹遷堂) - peach tree - road(桃徑). The second phase, which is the space of Sumanheon(收漫軒), Yocheondae, and Jangwoodam, the symbolical value of Sinjongchuwon(愼終追遠) and the remembrance and longing for one's parents are reflected. The third phase, which is the eastern outer garden of Hageowon and where the mountain stream flows from the north to south, is composed of the east valley(東溪) - Hwalsudam(活水潭) - Sumi Waterfall(修眉瀑布). More specifically, (1) Mongjeong symbolizes the life of gaining knowledge through studying to realize one's foolishness, (2) Hwalsudam symbolizes a transcending attitude in life refusing to pursue wealth and fame, and (3) Jangwoodam symbolizes the gateway to the fairyland to enter the world of mystic gods. 4) The rationale behind Hageowon is that the two algorithms of Confucionism and Taoist Theory appear repeatedly and in an overlapping way. The Napoji(納汚池) and Hwalsudam, which pertains to the prelude of space development, has symbolized Susimyangseong(修心養成, meditating one's mind and improving one's nature), which is based on ethical rationalism. Moreover, if the Monjeong sphere pertaining to the eastern outer garden of Hageowon takes the Confucionist value system as its theme, including moral training, studying, and researching, Jangwudam, Sumi Waterfalls, and Unwa can be understood as a taste of Cheokbyeon(滌煩, eliminating troubles) for the arts where the mystic world is substituted as a meaningful scenery. 5) The miniascape technique called artificial mountain was substituted to Hageowon to construct a mystic world like the 12 peaks of Mt. Mu(巫山). By borrowing the symbolic meaning expressed in old poems, it has been named 'Habang(1/何放), Hwabong(2, 3/和峯), Chulgun(4, 5, 6/出群), Sinwan(7/神浣), Chwhigyu(8, 9, 10/聚糾), Cheomyo(11/處杳), Giyung(12/氣融).' The representative poet reciting artificial mountain were Wangeui(汪醫), Nosamgang(魯三江), Dubo(杜甫), Hanyou(韓愈), Jeonheaseong(錢希聖), and Beomseokho(范石湖). They related themselves with literature by transcending time and space and attempted to sing about the richness of the mental world by putting the mystic world and culture of appreciating the arts they pursued in the vacation home called Hageowon.