• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.2
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• pp.113-122
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• 2021

Urban expansion, particularly converting sub-urban areas to residential and commercial land use in metropolitan areas, has been considered as a significant signal of regional economic development. However, this results in urban climate change. One of the key impacts of rapid urbanization on the environment is the effect of UHI (Urban Heat Island). Understanding the effects of urban land cover change on UHI is crucial for improving the ecology and sustainability of cities. This research reports an application of remote sensing data, GIS (Geographic Information Systems) for assessing effects of urban land cover change on the LST (Land Surface Temperature) and heat budget components in Ho Chi Minh City, where is one of the fastest urbanizing region of Vietnam. The change of urban land cover component and LST in the city was derived by using multi-temporal Landsat data for the period of 1998 - 2020. The analysis showed that, from 1998 to 2020 the city had been drastically urbanized into multiple directions, with the urban areas increasing from approximately 125.281 km² in 1998 to 162.6 km² in 2007, and 267.2 km² in 2020, respectively. The results of retrieved LST revealed the radiant temperature for 1998 ranging from 20.2℃ to 31.2℃, while that for 2020 remarkably higher ranging from 22.1℃ to 42.3℃. The results also revealed that given the same percentage of urban land cover components, vegetation area is more effective to reduce the value of LST, meanwhile the impervious surface is the most effective factor to increase the value of the LST.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.2
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• pp.1145-1152
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• 2015

This study examined the serum lipid levels according to the obesity indices, and obtained the relationship between obesity indices and serum lipid levels among adults who underwent a health checkup in a university hospital. The subjects for this study were 4,112 adults aged 18 to 77 years who underwent medical examinations at the health center of a university hospital in Daejeon city from Jan 2012 to Dec 2013. The serum lipid levels (TC, HDL-C, LDL-C, TG, AI) and obesity indices (height, weight, waist circumference, body fat rate, BMI, WHR WSR) of the study subjects were surveyed from self-recorded questionnaires and medical examination charts of the hospital. As a result, the serum lipid levels (TC, HDL-C, LDL-C, TG, AI) of the study subjects were increased significantly with higher level of obesity indices (WC, body fat rate, BMI, WHR WSR) in both sexes. The TC, LDL-C, TG, and AI showed that positive correlated with the WC, body fat rate, BMI, and WSR in both sexes, but HDL-C was negatively correlated with the WC, body fat rate, BMI, and WSR in both sexes. The above results suggest that the obesity indices and the serum lipid levels are closely related, i.e., the serum lipid levels increase with increasing obesity indices.

• Architectural research
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• v.24 no.1
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• pp.1-11
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• 2022

As the occurrence of a crime is dependent on different factors, their correlations are beyond the ordinary cognitive range. Owing to this limitation, systems face difficulty in correlating various factors, thereby requiring the assistance of artificial intelligence (AI) to overcome such limitations. Therefore, AI has become indispensable for crime prediction. Crimes can cause severe and irrevocable damage to a society. Recently, big data has been introduced for developing highly accurate models for crime prediction. Prediction of night crimes should be given significant consideration, because crimes primarily occur during nights, when the spatiotemporal characteristics become vulnerable to crimes. Many environmental factors that influence crime rate are applied for crime prediction, and their influence on crime rate may differ based on temporal characteristics and the nature of crime. This study aims to identify the environmental factors that influence sex and theft crimes occurring at night and proposes an artificial neural network (ANN) model to predict sex and theft crimes at night in random areas. The crime data of A district in Seoul for 12 years (2004-2015) was used, and environmental factors that influence sex and theft crimes were derived through multiple regression analysis. Two types of crime prediction models were developed: Type A using all environmental factors as input data; Type B with only the significant factors (obtained from regression analysis) as input data. The Type B model exhibited a greater accuracy than Type A, by 3.26 and 9.47 % higher for theft and sex crimes, respectively.

• Reproductive and Developmental Biology
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• v.37 no.1
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• pp.23-27
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• 2013

This study was carried out to investigate the influence of artificial insemination (AI) failure in 1,619 Korean native cows at Gangwon East area, Korea. The average AI failure rate was 37.02% in the cows and the highest rate was 40.85% in Yangyang-city. Based on the parity in the cows, the AI failure rate was 49.14% and 29.91% in the first and fifth parity cows, respectively. Whereas cows until fifth parity were decreased in AI failure, cows with sixth or more parity showed an upturning AI failure trends with the increasing of parity number. AI failure rate incidence according to the rump fat thickness measured by ultrasound was 28.9% and 33.4% at 5 mm to 10 mm and over than 15 mm, respectively. There was a positive correlation (0.2186) between AI failure rate of mother and that of their offspring cows. That is, offspring of dams with high AI failure rate showed also higher AI failure than those of dams having lower AI failure rate. In conclusion, these results indicate that the AI failure rate was closely related to the rump fat thickness, parity number, and conception rate of mother cows. In addition, these results might strengthen the basis to improve the reproductive performance in Korean native cows.

• Journal of the Korean Society of Food Culture
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• v.18 no.2
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• pp.123-133
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• 2003

The purpose of this study is to compare the correlation of clinical characteristics and patterns of disease. Subjects of the study were the adults(207) living in Geoje City, the diabetes mellitus and the hypertension patients(166) and the normal people(41). In the diabetes mellitus group and the hypertension group, blood pressure, blood glucose, total cholestero LDL-cholesterol and atherogenic index(AI) were significantly high. As the obesity index was getting higher, the blood pressure of the diabetes mellitus group was high, and the HDL-cholesterol of the hypertension group was low, but AI of it was significantly high. The AI was significantly high as serum lipid index were getting higher in both groups. The rate of the prevalence was very high in the diabetes mellitus group(74.3%) and the hypertension group(73.7%). The pattern in the diabetes mellitus group was in order of the hypertension, the hyperlipidemia, and the obesity but, in the hypertension group was the hyperlipidemia, and the obesity. The obesity index and serum lipid index of complex patient group were higher than single patient group.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.274-283
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• 2022

Korea is facing a number difficulties arising from rising housing prices. As 'housing' takes the lion's share in personal assets, many difficulties are expected to arise from fluctuating housing prices. The purpose of this study is creating housing price prediction model to prevent such risks and induce reasonable real estate purchases. This study made many attempts for understanding real estate instability and creating appropriate housing price prediction model. This study predicted and validated housing prices by using the LSTM technique - a type of Artificial Intelligence deep learning technology. LSTM is a network in which cell state and hidden state are recursively calculated in a structure which added cell state, which is conveyor belt role, to the existing RNN's hidden state. The real sale prices of apartments in autonomous districts ranging from January 2006 to December 2019 were collected through the Ministry of Land, Infrastructure, and Transport's real sale price open system and basic apartment and commercial district information were collected through the Public Data Portal and the Seoul Metropolitan City Data. The collected real sale price data were scaled based on monthly average sale price and a total of 168 data were organized by preprocessing respective data based on address. In order to predict prices, the LSTM implementation process was conducted by setting training period as 29 months (April 2015 to August 2017), validation period as 13 months (September 2017 to September 2018), and test period as 13 months (December 2018 to December 2019) according to time series data set. As a result of this study for predicting 'prices', there have been the following results. Firstly, this study obtained 76 percent of prediction similarity. We tried to design a prediction model of real estate transaction price with the LSTM Model based on AI and Bigdata. The final prediction model was created by collecting time series data, which identified the fact that 76 percent model can be made. This validated that predicting rate of return through the LSTM method can gain reliability.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.2
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• pp.23-34
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• 2012

As the quality of life grows, the role of cultural facilities in urban areas is becoming more important. However, due to various reasons, the location of these facilities shows the geographical imbalance between urban regions. Even though provision of road network can improve this kind of urban problem, in many countries, the provision of urban infrastructure plays a role which is magnifies the cultural gap between regions and socio-economic classes. The findings of this study are as follows. First of all, the inequality of accessibility to cultural facilities is shown over the period. Cross-sectional data shows that the higher the income of a region, the higher the accessibility index(AI) of the zone to cultural facilities at any time. Next, the provision of road network contributes the improvement of AI of high income region. Finally the provision of new facilities has a tendency that these kind of facilities are located to make AI of high income zone better. It means that the decision making by city government intensifies the geographical inequality. This result would be very useful in the decision making process for determining the number and the location of cultural facilities and other similar urban infrastructure as well. Also it will be helpful for the selection of optimal location which considered not only physical distances but also social equalities.

• Economic and Environmental Geology
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• v.34 no.1
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• pp.89-104
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• 2001

The Chonju and Samchun streams are passing though Chonju city and several contamination sources are located along these streams. The Samchun stream joins the Chonju stream in the Gosapyeong waste disposal site and the Chonju stream finally joins to the Mankyeong River. The objectives of this study are to determine the state and sources of contamination for heavy metals and anions in the Chonju and Samchun streams and to evaluate the effect of these streams on the contamination of the Mankyeong River. In order to select sampling locations, a stratified random sampling method was used. These streams was divided into several parts according to the expected contamination state, and samples were selected randomly from these parts. Generally, the water qualities of these streams were generally below the Drinking Water Level at the time of sampling in various heavy metals and anions. However, the levels of AI, Fe, $NH_{3}-N,Cl^{-}$, Cl- in these streams could be higher during dry season due to continuous inputs from various contamination sources. This study identified several contamination sources for these streams; two waste disposal sites along these streams for Fe, Mn, AI, Zn and $Cl^{-}$, the Chonju Waste Water Treatment Plant for Zn, Mn, $Cl^{-}$, $SO_{4}S$, $NO_{2}N$, and $NH_{3}-N$ and the untreated sewages for AI, Zn, Mn, $Cl^{-}$, $SO_{4}S$, $NH_{3}-N$ and $PO_{4}^{2-}$. This study also revealed that the Chonju stream itself is an important contamination source for Fe, Mn, $Cl^{-}$ and $SO_{4}S$ in the Mankyung River.

• Journal of East-West Nursing Research
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• v.13 no.2
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• pp.170-178
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• 2007

Purpose: This study was to examine the effects of the Danjeon Breathing Exercise Program on physical fitness, levels of serum lipid and physical symptom of people using public health center at Yangju city. Method: One group pretest-posttest design was utilized for this study. This study has been done from July 6 to September 28, 2005 and the subjects of the study were 28 persons. Danjeon breathing exercise was carried out for 60 minutes a day, 3 times a week for 12 weeks. Physical fitness was measured using the Health Management System developed by the Korea Physical Science Institution. Serum lipid level was measured in public health center at Yangju city. Questions of physical symptom (35 items) were chosen from Cornell Medical Index. The collected data were processed by using the SPSS PC program and analyzed by using Wilcoxon Signed Rank Test. Result: 1. The scores of back strength, flexibility and balance of post-test were more increased after Danjeon breathing exercise than those of pre-test. But the score of muscular endurance of post-test was not significantly increased. 2. The degrees of total cholesterol, LDL-cholesterol and triglyceride of post-test were more decreased after Danjeon breathing exercise than those of pre-test. But the degree of HDL-cholesterol of post-test was not significantly increased in statistics. 3. The score of physical symptoms of post-test was not significantly decreased in statistics after Danjeon breathing exercise than that of pre-test. Conclusion: It is concluded that the Danjeon Breathing Exercise Program could increase the physical fitness and decrease levels of serum lipid. So Danjeon breathing exercise could be utilized to promote physical fittness and to decrease level of serun lipids.

• Journal of the Korean Society of Food Science and Nutrition
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• v.28 no.5
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• pp.1164-1171
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• 1999

In this study, we investigated the effects of obesity index on the risk factors of chronic diseases in obese children. The subjects were male and female children aged 9 to 12. The average obesity index was 147.7$\pm$13.8% in boys and 147.6$\pm$16.5% in girls. The average percentages of body fat was significantly higher in boys(33.9$\pm$5.7%) than in girls(30.7$\pm$4.4%). It was found that 26% of subjects had abnormal serum GOT and GPT values. Percentages of subjects at risk of cardiovascular disease(CVD) based on corresponding criteria of TG, T chol, HDL chol, and LDL chol were 28.6%, 28.6%, 45.5% and 42.7%, respectively. The risk of CVD was increased with the degree of obesity, which was not significant. The AI(atherogenic index) was higher in boys(4.6$\pm$2.3) than in girls(3.6$\pm$1.2). The serum T chol and LDL chol levels of subjects whose mother are in thirties were significantly higher than those of subjects whose mother are in fourties. The T chol levels of subjects who had mother with job were significantly higher compaired to those of subjects who had housewife mother. The results indicated the urgent need of nu tritional management for the obese children to prevent further devel opment of childhood obesity and hyperlipidemia. Based upon this study, devising method and media for the mother nutritional education as well as for the children nutritional education is required for better growth and health promotion of primary school children.