• The Korean Society of Law and Medicine
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• v.20 no.1
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• pp.47-82
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• 2019

Inter-Korean exchanges and cooperation, in the process, will inevitably lead to various legal disputes, one of which is the issue of compensation for personal injury. The purpose of this study is to present the standards of settlement of disputes between the residents of North and South Korea by examining the North Korean compensation law on the calculation of damages due to personal injury and comparing it with the South Korean compensation law. Understanding the North Korean compensation law is a critical and urgent task, as exchanges and cooperation between the two Koreas are expected to increase in the future. For the South Korean compensation law does not have specific provisions on the estimation of damages, the specific methods and standards for estimating damages are determined by court precedents. The South Korean courts categorize the damages caused by personal injury into active property damages, passive property damages and emotional distress damages and calculate the amount of each damages. On the other hand, the North Korean Compensation for Damage Act stipulates the categories of damage by dividing the cases of personal injury into 1) infringement of health(§41), 2) disability due to infringement of health(§42), and 3) death resulting from human infringement(§44). In addition, the North Korea Compensation for Damage Act specifies the calculation of compensation for damages(§43, §51). Furthermore, South Korea widely acknowledges emotional distress damages for personal injury, whereas North Korea does not recognize emotional distress damages in principle.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.7 no.2
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• pp.92-99
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• 2008

The rapid economic growth in Korea raised the increase of transportation demands about the passengers and the goods, and caused the concentration on cities. By the rise of a nation's income level, a automobile is necessary in our modern life. However, the traffic delays and traffic accidents that are raised by automobiles decrease the evaluation about a nation's economy and then the government practices the traffic safety improvement project. In this study, by performing the improvement project, we expect to achieve the following objectives. First, this study analyses the degree of effectiveness whether or not success in the improvement. Second, to supply the data on the effectiveness of the improvement and to inform the necessity of improvement. Third, to supply the information on the improvement project to the parties concerned. In this paper, through the study about identification of high accident locations, the effectiveness for the number of accidents and accident rates before-after the improvement is analyzed. Also, the B/C analysis about this locations is performed. This study shows that the number of accident and accident rates are decreased after the improvement, and there is economic validity about improvement of high accident locations.

• Land and Housing Review
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• v.5 no.3
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• pp.137-149
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• 2014

The authors derived rental housing policy measures that are appropriate for the current conditions of Korean housing supply and demand based on the confirmation of the issues of Korean rental housing system and reviewing implications from review of cases of foreign countries and these measures can be categorized into linkage with the urban regeneration and multi-functional development, acquisition of financial resources, operational management, policy and institutional aspects. For the expansion of supply of rental housing, it is essential to link the rental housing policy with urban regeneration. To pursue regeneration of underdeveloped areas and expansion of supply of rental housing in line with urban regeneration, more development sites should be added. Further, the rental home policy must be integrated into a new paradigm that includes securing commercial viability and providing various residential conveniences through multi-functional development. In addition, diversification of developers of real estates turning away from the existing framework of policy that has been focused only on the state-led housing supply so that local governments and private sector players can take part in. Next, new options for funding the supply of rental housing must be sought. First, raising financial resources sequentially through cyclical development approach could be considered. Or, various funding schemes including utilizing Tax-increment financing (TIF) based on the local tax revenues that will be accrued after the development projects and supply of rental housing. Or there should be various schemes to raise funds including utilization of TIFs that are based on the revenues that will be realized after the development projects and supply of rental housing, or utilizing REITs where funds can be provided through private sector investments. Also, getting out from the planning practice that focused only on physical expansion of supply of rental housing, continual operational management must be performed even after the development. These activities must be supported through establishment of control tower at the national level and continuous attention must be paid even after the development by developing specialized operational management companies that are led by private sector players. Finally, in addition to the hardware support that is focused on the public rental housing only, software support such as conditional provision of housing voucher or tax exemption for low-income classes should be provided, too. In other words, a shift from policies that are supplier-centric to ones that are customer-centric must take place.

• Journal of Distribution Science
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• v.12 no.12
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• pp.65-73
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• 2014

Purpose - Distribution of agricultural products is collapsing due to recent changes in the environment balance between retailers and producers. Further, the increase in the imports of agricultural products due to free trade has caused revenue problems for producers. Agricultural producers are faced with increasing difficulties, and the organized producing center's importance is growing each day. Korean organized producing centers' policies have been conducted since 2000, and have thus been sustained for more than 10 years. Organizing a producing center's business is focused on agricultural cooperative and farming association corporation this has already have been carried out. In addition, it has achieved significant results through these organizations, but it still has many problems. Research design, data, and methodology - Organized producing centers were classified for each type. The survey covered 90 organizations, based on factor analysis, analysis of balance, and logistic regression analysis. The results of the conducted factor analysis are as follows. Production, marketing, human resources management, organizational skills, post management, safety, and scale were classified as the seven kinds of factors. These are the factors that affect the organized producing centers through the variance analysis and logistic regression analysis. The purpose of such research and analysis is to suggest the direction for the future organized producing centers' policies. Result - Results of the analysis of the variance are listed below. Items by type, production, marketing, human resource management, and organizational skills are shown to depict differences between the factors. Organization form results show that production and marketing showed a difference between the factors. The size of the organization, production, and marketing showed the difference between the factors. The factors affect organized producing centers differently depending on the type shown, as seen from the results. In contrast, the logistic regression results of the analysis are as follows. Considering the results by the type of item, and the horticulture type of marketing, human resource management has a (+) influence. Grain type and production showed a (+) influence. New types of income affecting organizational skills have a (+) influence. Considering the results for each type of organization, the agricultural cooperative type of marketing and human resource management have (+) influence. Farming association corporation type of production has a (+) influence. As a result, the size of the organization is as follows. Large organizations are production, expressed in marketing with a (+) impact. Medium-size organizations are expressed with their size factor having a (+) impact. Small organizations are expressed with a safety factor having a (+) impact. Conclusions - The types of factors display different effects. One factor is that the type of a (+) represents the influence of other factors (-) as per factor symptomatology. Therefore, the type of measures to organize a strategy to maximize the benefits of your organization should be pursued. In addition, based on the support for small organizations, improving the quality of the producer organization should be considered.

• Journal of Mushroom
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• v.17 no.4
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• pp.218-223
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• 2019

Flammulina velutipes, known as winter mushroom or Enokitake, is an important edible mushroom in Korea. In 2017, approximately 28,000 tons of this mushroom were produced in Korea, putting its output at the third place, behind the oyster and king oyster mushrooms. Despite its high production, F. velutipes has the lowest distribution rate of domestic cultivars, estimated to be about 28 percent. To increase the income of farms and provide more options to consumers, we developed a new golden domestic cultivar 'Auram'. 'Auram' was bred by mating two monokaryotic strains isolated from ASI 4103 and ASI 4111. Auram has bright golden, hemispheric shaped caps, and light brown stipes, making it strikingly different from the control. The optimum mycelial growth temperature was 25℃, but Auram mostly displayed higher mycelial growth than the control in a wide range of temperatures. The yield of Auram (257.4 ± 13.5 g) was high, and the period of fruit body growth was also a couple of days ahead in bottle cultivation, compared with the control. Auram received a more favorable evaluation from farms and distributors than the control for its appearance, because the fruit body of Auram had an attractive golden color, and the spotted cap often seen in the control was not observed.

• Journal of the Korean Geographical Society
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• v.48 no.2
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• pp.239-258
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• 2013

This study aims to examine that Jeollabuk-do 14 cities and counties's job creation policy would lead to a virtuous circle of the local economy through measuring the ratio of spatial mismatch. We suppose that the higher proportion of spatial mismatch in a city or county is, the lower multiplier effect contributes the local economy, especially in the income of residents and the influx of population. For the analysis, this study uses Korean Regional Employment Survey Micro-data and calculates the labor demand self-sufficiency(LDSS) rate of every local labor market for measuring the degree of spatial mismatch. Also we calculate the LDSS rate of employment status, industry, job classification and wage for testing the independency of local labor market. After analyzing, just Jeonju, Gunsan, Iksan, and Namwon could be regarded as independent local labor market where LDSS rates are above 75% in most criteria. But other local labor markets depend on outer labor supplies. For the development of regional economy, it is necessary to consider the creation of 'good jobs' that can induce the labor in parallel with the quantitative increase of employment.

• Journal of Digital Contents Society
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• v.18 no.8
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• pp.1593-1601
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• 2017

In a big data platform, association rule mining applications could bring some benefits. For instance, in a agricultural big data platform, the association rule mining application could recommend specific products for farmers to grow, which could increase income. The key process of the association rule mining is the frequent itemsets mining, which finds sets of products accompanying together frequently. Former researches about this issue, e.g. Apriori, are not satisfying enough because huge possible sets can cause memory to be overloaded. In order to deal with it, SON algorithm has been proposed, which divides the considered set into many smaller ones and handles them sequently. But in a single machine, SON algorithm cause heavy time consuming. In this paper, we present a method to find association rules in our Hadoop based big data platform, by parallelling SON algorithm. The entire process of association rule mining including pre-processing, SON algorithm based frequent itemset mining, and association rule finding is implemented on Hadoop based big data platform. Through the experiment with real dataset, it is conformed that the proposed method outperforms a brute force method.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.245-252
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• 2020

Recently, as the income level of consumers increases, interest in tourism products has increased, competition among tourist destinations has been fierce. Storytelling ads are drawing attracting attention as one of the ways to establish differentiated positioning for tourism products. This study investigates the role of the involvement of tourism activity in the storytelling ads effects, and examines the effects of the attitude toward storytelling ads on tourist destination commitments, visit intention and SNS WOM (word-of-mouth) intention. This study also empirically tests the role of mental simulation in the relationship between storytelling ads attitudes and visit intention. A total of 255 usable responses were obtained from a sample of 270 consumers aged 18 or older in South Korea. Following the two-stage approach of model validation, measurement validity of each construct appearing in the structural model and hypothesized structural paths were tested. The findings show that all hypotheses are supported except H3 that posits the impact of attitude toward the storytelling ads on visit intention and mental simulation showed a moderate effect on the relationship between ads attitude and visit intention in the case of rational appeal. This study suggests that the production of storytelling ads of tourist destinations can be effective strategy to improve regional competitiveness and increase visit and SNS WOM intention.

• Journal of the korean academy of Pediatric Dentistry
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• v.45 no.4
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• pp.407-417
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• 2018

To investigate knowledge and attitude of parents about early childhood caries and dental caries prevention, a questionnaire survey was conducted on 247 parents of children who had oral screening experience among 3 to 5 years old children in 3 kindergartens in Jeonju city. A total of 220 completed questionnaires were selected for final analysis. The overall perception of the parents about oral health of the children was 82.3 points (10.7 / 13) in terms of 100 points. There were statistically significant correlations between maternal age (p = 0.027), maternal education level (p = 0.002), household monthly income (p = 0.000) and maternal oral health knowledge level. The main source of oral health information was 'dentist and dental hygienist'(83.6%) followed by 'Web search'(22.3%). Compared with the previous studies, the level of knowledge of parents about oral health of the children was improved. However, in order to raise awareness of the parents about the poorly assessed items in this study, it is necessary to increase the participation rate by advertising the national dental screening program for infants and children and make efforts to improve the quality of oral health education in screening.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.4
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• pp.129-134
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• 2018

Recently, the artificial neural network (ANN) model is a promising technique in the prediction, numerical control, robot control and pattern recognition. We predicted the outside temperature of greenhouse using ANN and utilized the model in greenhouse control. The performance of ANN model was evaluated and compared with multiple regression model(MRM) and support vector machine (SVM) model. The 10-fold cross validation was used as the evaluation method. In order to improve the prediction performance, the data reduction was performed by correlation analysis and new factor were extracted from measured data to improve the reliability of training data. The backpropagation algorithm was used for constructing ANN, multiple regression model was constructed by M5 method. And SVM model was constructed by epsilon-SVM method. As the result showed that the RMSE (Root Mean Squared Error) value of ANN, MRM and SVM were 0.9256, 1.8503 and 7.5521 respectively. In addition, by applying the prediction model to greenhouse heating load calculation, it can increase the income by reducing the energy cost in the greenhouse. The heating load of the experimented greenhouse was 3326.4kcal/h and the fuel consumption was estimated to be 453.8L as the total heating time is $10000^{\circ}C/h$. Therefore, data mining technology of ANN can be applied to various agricultural fields such as precise greenhouse control, cultivation techniques, and harvest prediction, thereby contributing to the development of smart agriculture.