• The Korean Journal of Emergency Medical Services
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• v.1 no.1
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• pp.100-111
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• 1997

This is the first Korea study to evaluate the effects od the safety of ambulance driving and the occurrence of ambulance traffic accidents and to provide basic informaion for the description of various factors to reduce the ambulance traffic accidents. The major insturment of this study were Krean Self-Analysis Driver Opinionnaire. Questionnaire contains 8 items which measure driver's opinions or attitudes : driving courtesy, emotion, traffic law, speed, vehicle conditions, the use of drugs, high-risk behaviors, and human factors. To take the analysis of data, the total of 350 divers were investigated ambulance divers and others in Taejon City and others (6 City) from 1996. 1. July to 1996. 31. July. The data were analyzed by the descriptive statistics and the logistic regression - path analysis - with SPSS and SAS package program. The result are as follows : 1. There was desirable attitude group(16.2%) and undesirable attitude group(17.6%) on safety ambulance driving. 2. It have suggested that risk factors of ambulance traffic accidents much affected with emotion and speed control on safety ambulance driving < Y(Accdient) = -2.64 + 0.57 $X_1$ (Emotion Control) + 0.30 $X_2$(Seed control) + E > and motor traffic acident much affected with emotion control and high-risk behavior on safety driving < Y(Accident) = -1.11 + 0.33 $X_1$(Emotion Control) + 0.29 $X_2$(High-risk Behvior) + E > 4. The primary emphassis of ambulance drivers was make us realized that improthatnt factors on safety ambulance driving were 1)making way for emergent ambulance, 2)driver's career, 3)The ability of emergency medical technics, and the knowledge or under standing of ambulance way difficut(or easy) of accdess. 5. Almost 96.6% of respondents have agreed to necessity of emergency medical technics for ambulance drivers. 6. Almost 94.6% of respondents have consented to necessity of emergtency medical technicians for ambulance driving. 7. It have suggested that the proportion of traffic accident proportion by desitable attitude group(16.7%) was much less than that of undesirable attitude group(30.8%) on safety ambulance driving(P < 0.05)/Ps) Accidents are unplanned, unforesen incidents which can lead to harmful or unfortunate outcomes, Collisons are not accidents, since the basic cause of the majority of collisons invovles high-risk human behavior. Although there are many factors which contribute to accident causation, four basic factors seem to predominate in most traffic related situations. These four factors include: the human factor, the vehicle factor, the environmental factors and destination factor(Peto G. et al. 1995).

• The Korean Journal of Emergency Medical Services
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• v.12 no.1
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• pp.53-67
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• 2008

Purpose : This study is descriptive correlation research to provide basic materials for developing program which can give practical assistance in preventing and managing obesity through more comprehensive approaches of influential factors on obesity found in existing literatures. Methods : Data were collected from the 4th, 5th and 6th graders at 2 elementary schools in Gwangju Metropolitan City and 4 elementary schools in Jeollanamdo province using questionnaire and students' physical examination results from June 15 to July 27, 2006 and data obtained from 1,866 students were used for analysis. Data collected were analyzed with technical statistics and correlation analysis using SPSS/PC(version 12.0). Results : 1. Obesity level of elementary school students was examined as follows; 33.2% had low weight, 44.3% normal, 10.8% overweight and 11.7% obese. 14.8% of boys and 8.6% of girls, 13.5% of the 4th graders, 12.1% of the 5th graders and 9.2% of the 6th graders, and 13.7% of urban students and 9.6% of rural students were obese. 2. According to general characteristics and obesity of the subjects, there were significant differences by sex(${\chi}^2=29.55$, p= .000), grade(${\chi}^2=12.84$, p= .046), region(${\chi}^2=41.96$, p= .000) and pocket money(${\chi}^2=33.43$, p= .001). 3. As genetic factors, all variables including sibling's obesity r= .128(p= .000), mother's obesity r= .098(p= .000) and father's obesity r= .081(p= .001) had influence on children's obesity. 4. Concerning environmental factors, there was positive correlation between eating habits r=- .052(p= .02) and school record r=- .048(p= .04) and there was negative correlation between internet using time r= .050(p= .03) and conflict with parents r= .048(p= .04). 5. Self-respect as psychological factor had negative correlation as r=- .048(p= .04). Conclusion : Consequently, the influential factors on obesity of elementary school students were as follows. Obesity was higher in boys than in girls, in urban areas than in rural areas, in lower grade than in higher grade, in children with obese siblings, obese father and mother, irregular and wrong eating habits, frequent internet uses, parents in conflict and lower school record and self-respect. Therefore, since it was found that these variables were more exact causes to increase children's obesity, development of various obesity mediation programs considering these variables at home, school and society is urgently required.

• Korean Journal of Remote Sensing
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• v.11 no.3
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• pp.101-116
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• 1995

The fact that the demands on traffic data collection are imposed by economic and safety considerations raisese the question of the potential for complementing existing traffic data collection programs with satellite data. Evaluating and monitoring traffic characteristics is becoming increasingly important as worsening congestion, declining economic situations, and increasing environmental sensitivies are forcing the government and municipalities to make better use of existing roadway capacities. The present system of using automatic counters at selected points on highways works well from a temporal point of view (i.e., during a specific period of time at one location). However, the present system does not cover the spatial aspects of the entire road system (i.e., for every location during specific periods of time); the counters are employed only at points and only on selected highways. This lack of spatial coverage is due, in part, to the cost of the automatic counters systems (fixed procurement and maintenance costs) and of the personal required to deploy them. The current procedure is believed to work fairly well in the aggregate mode, at the macro level. However, at micro level, the numbers are more suspect. In addition, the statistics only work when assuming a certain homogenity among characteristics of highways in the same class, an assumption that is impossible to test whn little or no data is gathered on many of the highways for a given class. In this paper, a remote sensing system as complement of the existing system is considered and implemented. Since satellite imagery with high resolution is not available, digitized panchromatic imagery acquired from an aircraft platform is utilized for initial test of the feasibility and performance capability of remote sensing data. Different levels of imagery resolutions are evaluated in an attempt to determine what vehicle types could be classified and counted against a background of pavement types, which might be expected in panchromatic satellite imagery. The results of a systematic study with three different levels of resolutions (1m, 2m and 4m) show that the panchromat ic reflectances of vehicles and pavements would be distributed so similarly that it would be difficult to classify systematically and analytically remotely sensing vehicles on pavement within panchromatic range. Anaysis of the aerial photographs show that the shadows of the vehicles could be a cue for vehicle detection.

• Korean Journal of Human Ecology
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• v.9 no.4
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• pp.83-93
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• 2006

This study was done for finding out if eating habits, eating behaviors were different between non-obese and obese elementary school students in Jeonju Area. Total 2568 students of 1364 male and 1204 female of the 4th, 5th, and 6th year in 5 elementary schools were surveyed and the statistics of the result was analyzed by SPSS program. The results are summarized as follows: 1. Obesity was defined as Body Mass Index(BMI) that exceeded 85th and Obesity Index(OI) that exceeded 110. First, subjects were divided into 4 groups : lean, normal, overweight and obese. Second subjects were reclassified into non-obese(lean and normal) and obese(overweight and obese) groups. Average height of male and female students were 142.5cm, 143.1cm and weight of those were 36.4kg and 37.9kg respectively. 2. As results of obesity computation, obese male students were 19.6%(overweight 11.3%, obese 8.3%) in BMI and obese male students were 25.0%(overweight 12.5.%, obese 12.5%) in OI. Especially Obesity percent rate of male student were significantly higher on that of female student in OI method. 3. Examining obesity between male and female, there were statistically different between male students and female students in OI, but there were not statistically different in BMI. With regard to grade level(4th, 5th, 6th), there were statistically different among grade levels. 4. Examining correlation between eating habits(eating behaviors) and obesity, there were statistically significant in some cases. For example, there were statistically significant correlation between fast eating habit and obesity. And the relation analysis of general environments and obesity showed that there were statistically significant in some cases. These results suggest that the number of overweight students can be increased due to the amount and kinds of food children have as well as the general causes of overweight such as genetic, environmental and psychological reason. Surveying about children's eating habits, eating behaviors this study methodically. Working with parents is necessary and comparison of eating habits, eating behaviors and nutrition knowledge between the past and their presents are also needed in a future.

• Journal of the Korean Society for Railway
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• v.11 no.5
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• pp.455-464
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• 2008

This paper examines the situation and tasks of competitive systems of EU transport market focusing on railways. Recently, the EU transport market has changed radically, thanks to an increasingly competitive rail market. The European Commission has stimulated the creation of a competitive environment that will enhance the position of rail. Some scholars have insisted that the rail market is more monopolistic than competitive. However, the case of UK rail privatization suggests this is not the case. Moreover, some countries have a rail market that is more competitive. We draw on a wide range of sources including statistics and analyses of recent phenomena. These demonstrate the emergence of competitive markets in EU rail and the difficulty of developing a competitive market. With regard to the adoption of the competitive market, we examine three things. First, we observe recent cases and trends in competitive markets. Second, we compare the result of competitive markets and non-competitive markets within EU nations. Third, we demonstrate factors of formation of competitive markets and the possible expansion. We identified differences within open market policies amongst EU nations. Although a competitive EU rail market may have some difficulties, it will steadily begin to overcome technological differences and a lack of funds, because EU countries have a common goal, which is to develop the railways, solving, wherever possible both environmental and energy problems. Through this analysis, we found that the free market in EU rail will be extended to deliver efficiency and quality service.

• Journal of The Korean Society of Agricultural Engineers
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• v.63 no.6
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• pp.77-88
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• 2021

Duck industry had a rapid growth in recent years. Nevertheless, researches to improve duck house environment are still not sufficient enough. Moisture generation of duck house litter is an important factor because it may cause severe illness and low productivity. However, the measuring process is difficult because it could be disturbed with animal excrements and other factors. Therefore, it has to be calculated according to the environmental data around the duck house litter. To cut through all these procedures, we built several machine learning regression model forecasting moisture generation of litter by measured environment data (air temperature, relative humidity, wind velocity and water contents). 5 models (Multi Linear Regression, k-Nearest Neighbors, Support Vector Regression, Random Forest and Deep Neural Network). have been selected for regression. By using R-Square, RMSE and MAE as evaluation metrics, the best accurate model was estimated according to the variables for each machine learning model. In addition, to address the small amount of data acquired through lab experiments, bootstrapping method, a technique utilized in statistics, was used. As a result, the most accurate model selected was Random Forest, with parameters of n-estimator 200 by bootstrapping the original data nine times.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.167-177
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• 2021

The scientific paper studies the impact of tourism and traveling on the economic level of development of countries at the macro level and its relationship with other sectors of the economy. Tourism is one of the budget-forming factors of every economy. This work describes the main trends in the development of tourism. It is determined that about one third of tourism revenues are generated by the food sector, i.e., the culinary niche of tourism. Culinary tourism is a new direction of tourism, but it is developing quite dynamically in the EU. Culinary is an important part of rural tourism in the EU and culinary tourism is actively promoted at fairs and festivals. In recent years rural tourism has been developing both at the international level and in Ukraine, primarily due to its features, which include the implementation of the principles of sustainable community development, preservation of local traditions and cultural values, gastronomic events to promote them. The aim of the article is to study the theoretical aspects of the development of gastronomic tourism in the world, to analyze the actual condition of gastronomic tourism in the EU and Ukraine, identifying prospects and ways to develop regional gastronomic tourism. The methodological and informational basis of the work is analytical reports and researches related to the development of event tourism and statistics. Systematic and logistical approaches to the studied problems were used to achieve this goal. Various general scientific and special research methods were also used. Based on PESTLE analysis, key aspects of the external environment of gastronomic tourism in Ukraine are identified. We took into account the principles of sustainable development: political, economic, social, technological, legal and environmental. The main trends in the development of gastronomic tourism in the world are studied and it is found that the greatest development in the coming years will be the trend of combining gastronomic and event tourism on the basis of sustainable development. The main preconditions and possibilities of introduction of this holistic approach to the strategy of development of the tourist branch of Ukraine are determined. A model of sustainable value chain of gastronomic tourism in the region is formed and the main advantages of its implementation are identified: formation of a regional brand, preservation of culinary traditions, development of green farming, minimization of negative impact on the environment, sustainable development of communities.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.203-215
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• 2019

This study was conducted to identify the utilization of public health centers, as well as the individual characteristics and regional characteristics that affect their utilization based on data from the 2016 Community Health Survey, National Statistical Portal, and National Institute of Environmental Research. Independent samples t-tests, variance analysis, and multiple logistic regression analysis were used for analysis. Hierarchical multiple regression was used to analyze individual and regional characteristics. The results of hierarchical multiple regressions revealed that aged regions, women, older age individuals, respondents with lower education level and income level, walking practitioners, nutrition label readers, individuals experiencing depression, those who have received health checkups, those who are not covered by essential care, those who have spouses, and basic livelihood beneficiaries have increased use of public health centers. However, the use of public health centers decreased in stressors, and regions in which the population per 1,000, number of health care workers, health and welfare budget, fiscal independence, and unemployment rate were above the national average. As above, the central government and local governments need to analyze not only individual characteristics such as health behavior and psychological factors, but also regional characteristics, when establishing local health care policy.

• The Korean journal of helicobacter and upper gastrointestinal research
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• v.18 no.3
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• pp.186-197
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• 2018

Background/Aims: To investigate the predictive factors for improvement of atrophic gastritis (AG) and intestinal metaplasia (IM). Materials and Methods: A total of 778 subjects were prospectively enrolled and followed up for 10 years. Histological analysis of AG and IM was performed by using the updated Sydney system. To find the predictive factors for reversibility of AG and IM, 24 factors including genetic polymorphisms and bacterial and environmental factors were analyzed. Results: In all subjects, the predictive factor by multivariate analysis for improvement of both antral and corpus AG was successful eradication. The predictive factors for improvement of antral IM were age and successful eradication. The predictive factor for improvement of corpus IM was successful eradication. In patients with Helicobacter pylori infection, age and cagA were predictive factors for improvement of AG and IM. In patients with H. pylori eradication, monthly income and cagA were predictive factors for improvement of AG and IM. Conclusions: H. pylori eradication is an important predictive factor of regression of AG and IM and would be beneficial for the prevention of intestinal-type gastric cancer. Young age, high income, and cagA are additional predictive factors for improving AG and IM status. Thus, various factors affect the improvement of AG and IM.

• Korean Journal of Environment and Ecology
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• v.33 no.3
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• pp.333-340
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• 2019

As the number of students in the multicultural background grows, the interest in their education is also increasing. The purpose of this study is to investigate the effect of forest healing factors on the improvement of language ability and ego-resilience of students from multicultural families. We conducted an after-school forest healing program of ten male and ten female middle school students of a multicultural preparatory school located in ${\bigcirc}{\bigcirc}$-dong in Cheongju, Chungnam Province. The experiment consisted of a total of 12 weekly one-hour (60 minutes) programs from April 12, 2018 to June 26, 2018. The forest healing program is an activity that uses the various environmental factors that exist in the forest to increase the immunity of the human body and restore physical and mental health. To determine the difference in ego-resilience before and after the program, we conducted a paired t-test and analyzed with the SPSS 18.0 program. The results showed that the ego-resilience significantly improved in all sub-factors including the positive thinking ability, problem-solving ability, intimacy ability, emotional adjustment ability, and autonomic behavior ability (p<.001). The descriptive statistics of the language ability showed the improvement in writing errors, pronunciation errors, sentence errors, tense errors, and errors in research and connection. We expect the results of this study can be used as the basic data to improve ego-resilience and language acquisition ability of middle-entry children and students from multicultural families.