This paper explored the differences in university students' e-Sports patterns(e-Sports behaviors, its meaning and personalities) based on the types of game-lifestyle. The results of this study could be summarized as follows. First, game-lifestyle was categorized into 5 groups, that is, 'game with someone', 'game alone', 'addicted to game', 'novice for game' and 'flow in game'. Second, there were remarkable differences in e-Sports behaviors, its meaning and personalities(altruism, sociality and aggression) among these 5 groups. Specifically, The group of 'addicted to game' was similar to the group of 'flow in game' in the amount of time/money for game. Moreover they were highly likely to regard e-Sports game defeat as the reflection of their self-esteem and as the tool of gaining popularity/superiority to peers. Even though these similarities, the group of 'flow in game' was inclined not to permit deviant words/deeds and to keep the good manner in the cyber space as well as the real space, while the group of 'addicted to game' was permissible wrong and aggressive behaviors in the both cyber space and real space. Third, the group of 'novice for game' was less likely to participate in e-Sports activities(playing e-Sports game and watching TV) and to be less attracted to e-Sports than other groups. Moreover they had negative perspectives on e-Sports. In specific, they regarded it as a dangerous and addictive leisure activity hindering everyday life(study, relationship with peers/family etc) and health. These results would be used to develop game/e-Sports education program
HACCP is a preventative food safety management system whose application is highly encouraged worldwide. In this study, the workers' demands for the application of HACCP system at the meat retail shops were surveyed. According to a factor analysis on the demands of the application of HACCP system, the results could be classified into three factors: HACCP support, HACCP promotion and education, and generic livestock product safety management. Items on demands showed higher results for HACCP support (3.91 point) than for HACCP promotion and education (3.83 point) or generic livestock product safety management (3.72 point). The application of HACCP system was more demanded by HACCPcertified retailors with 4.11 point than the non-HACCP-certified ones (3.57 point). From the analysis of items on demands, 'governmental promotion of the general public livestock HACCP; (p<0.001) was the highest demand item by the HACCPcertified retailors and 'HACCP certification support for the government's investment' by the non-HACCP-certified ones (p<0.05). The strengthening of governmental support for the application of HACCP at meat retail shops as well as active HACCP promotion and education aiming at general public was demanded. With this, the establishment of HACCP system and the improvement of safety management level at the area of meat retail shops could be achieved, contributing to the increase of consumers' satisfaction.
Regional disparities between eastern and western regions is the most of serious problem for balanced regional development in Turkey. The Southeastern Anatolia Project (GAP) is being implemented to eliminate these regional development disparities. The work that was initially planned as predominantly for hydraulic energy production to utilize water resources of the Tigris and Euphrates rivers more effectively was later transformed into an integrated multi-sector regional development project. This study noted that this region had very limited cash crop production because of the constraints of semi-arid climate of the southeastern region, however, later, it has changed Turkey's major cotton producing region since Southeastern Anatolia Project carried out. Therefore, this study investigated background, process, and content of the Southeastern Anatolia Project with respect to high cotton productivity in this region and examined the dynamic changes of cotton productivity in this region. In addition, Sanliurfa prefecture is one of the main development axes of the Southeastern Anatolia Project, because government investments are concentrated on this prefecture. Therefore, this study examined the background and process of cotton farming growth in this prefecture. In 2011, Sanliurfa prefecture produced 37.6% of Turkey's total cotton production. This is mainly due to agricultural infrastructure expansion such as land consolidation, irrigation, roads and farm roads. Also, it is one of the main factor that subsidies paid to farmers for cotton cultivation. The introduction of irrigation has dramatically changed the direction of seasonal migration of this area. Prior to irrigation, this area had a serious social issue about out-migration for seasonal labor to other areas. However, the introduction of irrigation made this area that changed to in-migration and intramigration for cotton cultivation. Irrigation water is supplied to farmers through the WUAs (Water User Associations) that handed over irrigation water management, operation from DSI (General Directorate of State of Hydraulic Works). However, the WUAs are under the influence of Ashiret, a traditional feudal social structure. Because of this reason, it does not have an efficient management for farmers. Also, it is one of the reasons that this area does not have autonomous farmer organization.
The 9.11 demonstrated that terrorist attack could be more serious problem than the war in our modern life. No countries in the world have evaded being a target for terrorists today. As well as South Korea, the whole world must share attentions and responsibilities for fighting against the terrorism. Since the international terrorist groups have expanded their targets from Western countries to Koreans, civilian hostages are no longer other's affair; it became a serious threat to public. Increased Korean investment, trade, missionary, and travel overseas also expanded activity regions worldwide. It also result increased terrorist threats and possible abduction. The number of kidnapping crisis has increased since the terrorists use it as an effective method of sending a message. Piracy refers to a broad range of violent acts at sea, and has traditionally been regarded as common enemies. Piracy constitutes a great threat to the security of navigation as well as to the safety of vessels and crews. Lessons from hostage issues such as Korean hostage crisis in Somalia and Afghanistan show that it can cause criticism on moral issues if armed rescue missions fail or hostages are killed, so the governments and related corporations try to solve it by paying ransom. Terrorists and use these advantages in order to put a huge pressure on the governments. In this study we will look at essential characteristics and types of hostage abductions and recognition of national safety, lessons and solutions to previous Korean hostage cases in overseas. At the same time, it provides a guidelines of the direction in the fighting against terrorist groups and Piracy.
Machine learning is a field of artificial intelligence. It refers to an area of computer science related to providing machines the ability to perform their own data analysis, decision making and forecasting. For example, one of the representative machine learning models is artificial neural network, which is a statistical learning algorithm inspired by the neural network structure of biology. In addition, there are other machine learning models such as decision tree model, naive bayes model and SVM(support vector machine) model. Among the machine learning models, we use SVM model in this study because it is mainly used for classification and regression analysis that fits well to our study. The core principle of SVM is to find a reasonable hyperplane that distinguishes different group in the data space. Given information about the data in any two groups, the SVM model judges to which group the new data belongs based on the hyperplane obtained from the given data set. Thus, the more the amount of meaningful data, the better the machine learning ability. In recent years, many financial experts have focused on machine learning, seeing the possibility of combining with machine learning and the financial field where vast amounts of financial data exist. Machine learning techniques have been proved to be powerful in describing the non-stationary and chaotic stock price dynamics. A lot of researches have been successfully conducted on forecasting of stock prices using machine learning algorithms. Recently, financial companies have begun to provide Robo-Advisor service, a compound word of Robot and Advisor, which can perform various financial tasks through advanced algorithms using rapidly changing huge amount of data. Robo-Adviser's main task is to advise the investors about the investor's personal investment propensity and to provide the service to manage the portfolio automatically. In this study, we propose a method of forecasting the Korean volatility index, VKOSPI, using the SVM model, which is one of the machine learning methods, and applying it to real option trading to increase the trading performance. VKOSPI is a measure of the future volatility of the KOSPI 200 index based on KOSPI 200 index option prices. VKOSPI is similar to the VIX index, which is based on S&P 500 option price in the United States. The Korea Exchange(KRX) calculates and announce the real-time VKOSPI index. VKOSPI is the same as the usual volatility and affects the option prices. The direction of VKOSPI and option prices show positive relation regardless of the option type (call and put options with various striking prices). If the volatility increases, all of the call and put option premium increases because the probability of the option's exercise possibility increases. The investor can know the rising value of the option price with respect to the volatility rising value in real time through Vega, a Black-Scholes's measurement index of an option's sensitivity to changes in the volatility. Therefore, accurate forecasting of VKOSPI movements is one of the important factors that can generate profit in option trading. In this study, we verified through real option data that the accurate forecast of VKOSPI is able to make a big profit in real option trading. To the best of our knowledge, there have been no studies on the idea of predicting the direction of VKOSPI based on machine learning and introducing the idea of applying it to actual option trading. In this study predicted daily VKOSPI changes through SVM model and then made intraday option strangle position, which gives profit as option prices reduce, only when VKOSPI is expected to decline during daytime. We analyzed the results and tested whether it is applicable to real option trading based on SVM's prediction. The results showed the prediction accuracy of VKOSPI was 57.83% on average, and the number of position entry times was 43.2 times, which is less than half of the benchmark (100 times). A small number of trading is an indicator of trading efficiency. In addition, the experiment proved that the trading performance was significantly higher than the benchmark.
Recently, research F&E(Facilities and Equipment) have become very important as tools and means to lead the development of science and technology. The government has been continuously expanding investment budgets for R&D and research F&E, and the need for efficient operation and systematic management of research F&E built up nationwide has increased. In December 2010, The government developed and completed a standardized classification system for national research F&E. However, accuracy and trust of information classification are suspected because information is collected by a method in which a user(researcher) directly selects and registers a classification code in NTIS. Therefore, in the study, we analyzed linearly using linear discriminant analysis(LDA) and analysis of variance(ANOVA), to measure the classification accuracy for the standardized classification system(8 major-classes, 54 sub-classes, 410 small-classes) of the national research facilities and equipment established in 2010, and revised in 2015. For the analysis, we collected and used the information data(50,271 cases) cumulatively registered in NTIS(National Science and Technology Service) for the past 10 years. This is the first case of scientifically verifying the standardized classification system of the national research facilities and equipment, which is based on information of similar classification systems and a few expert reviews in the in-outside of the country. As a result of this study, the discriminant accuracy of major-classes organized hierarchically by sub-classes and small-classes was 92.2 %, which was very high. However, in post hoc verification through analysis of variance, the discrimination power of two classes out of eight major-classes was rather low. It is expected that the standardized classification system of the national research facilities and equipment will be improved through this study.
This study aims to determine the necessity, role, utilization, and operation and management plan in relation to the underwater space platform where humans can newly reside. It provides a comprehensive opinion on the need for creating undersea space and operation plans based on opinions of industry-university-affiliated organizations involved in the R&D project of the Ministry of Maritime Affairs and Fisheries for the utilization of undersea space and external experts participating in marine technology development. In this study, a survey was conducted on researchers participating in the construction of a Korean submarine space platform. FGI was conducted on marine technology development experts. Results were then derived. As a result of the analysis, the need for subsea space construction was found to be high. As for the role of subsea space, the most common opinion was to develop technology for utilizing subsea space and to secure marine science research functions. It was found that the creation of subsea space would have a positive impact on the domestic industry, especially the deep-sea development industry and the shipbuilding/offshore structure industry. In terms of utilization, after the end of the seabed space test bed, the response to utilization as a marine observation base and marine ecosystem research had the highest proportion. As for expected inconvenience, discomfort in the psychological environment was the highest. Experts suggest that securing a continuous budget is most important for stable operation in the future and that securing a manpower budget is essential for itemized budgets. In addition, it was judged that it would be appropriate to establish a prior agreement from the time of the prior agreement and prepare a countermeasure before proceeding with the project in order to ensure ownership issues, consignment management issues, and cost issues when using the project after the end of the project.
Journal of Agricultural Extension & Community Development
/
v.20
no.4
/
pp.1045-1078
/
2013
The purpose of the present study is to improve the effectiveness of Korea's ODA projects on agricultural technology transfer to Africa. This study investigates agricultural extension system of African countries and provides a direction of the systematic strategies of the Korean ODAs on agricultural technology. This study pays particular attention on Africanization of agricultural technology transfer of the Korean ODA strategies. Unlike the previous studies focusing mainly on micro level investigation on the ODA strategy development, the present study incorporates the agricultural technology dissemination system of Ethiopia and Uganda in a macro perspective to develop a desirable form of the ODA strategy. The findings illustrate that the technology dissemination systems of the case countries have different characteristics depending on the function and organization of extension agency. And their functional capability and role segmentation by the extension agency are differently configured, too. In case of Ethiopia, top-down structure for the agricultural extension system has been built. Farmers' group and field agent of the information delivery system has expanded their participation into the system. However, we also find that the system of Ethiopia still lacks effective use of its existing technology, since it puts more emphasis on management aspects than improvement of agricultural productivity for farmers. On the other hand, even though Uganda has established participatory extension system that encompasses the entire agencies of the extension system, government efforts to enhance the extension system are still concentrated on expanding research functions rather than technical dissemination. The results imply that promoting and strengthening localization of the ODA strategy has to be developed to make localization policy of the Korean ODA. The present study concludes with some specific policy implications for necessary conditions of the agricultural development in African countries.
Kim, Chang-Ho;Yoon, Jong-Dae;Jung, Chul-Kyu;Lee, Bong-Keun
Korean Security Journal
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no.36
/
pp.111-137
/
2013
The purpose of this study is to examine the effects of electronic security service quality satisfaction and customer satisfaction on switching barrier and customer loyalty. Survey questionnaires were distributed to business owners in Seoul that are using electronic security system and the total of 500 copies were used as research data except 60 copies with insufficient responses. The results are as follow. First, as for the effects of electronic security service quality satisfaction on electronic security customer satisfaction, it indicates that the higher electronic security service quality satisfaction achieves, the more it has positive effects on electronic security customer satisfaction. Second, as for the effects of electronic security service quality satisfaction on switching cost, it indicates that the higher electronic security service quality satisfaction achieves, the more it has positive effects on switching cost. As for the effects of electronic security service quality satisfaction on human relations, it indicates that the higher electronic security service quality satisfaction achieves, the more it has positive effects on human relations. It indicates that the effects of electronic security service quality satisfaction on alternative attraction was not meaningful. Third, as for the effects of electronic security customer satisfaction on switching cost, it indicates that the higher electronic security customer satisfaction achieves, the more it has positive effects on switching cost. As for the effects of electronic security customer satisfaction on human relations, it indicates that the higher electronic security customer satisfaction achieves, the more it has positive effects on human relations. But, it indicates that the effects of electronic security customer satisfaction on alternative attraction was not meaningful. Fourth, As for the effects of electronic security service quality satisfaction and electronic security customer satisfaction on customer loyalty, it indicates that the higher electronic security service quality satisfaction achieves, the more it has positive effects on customer loyalty. As for the effects of switching cost on customer loyalty, it indicates that the higher switching cost achieves, the more it has positive effects on customer loyalty. As for the effects of alternative attraction on customer loyalty, it indicates that there is no meaningful relation between alternative attraction and customer loyalty. But, effects of human relations on customer loyalty, it indicates that there is no meaningful relation between human relations and customer loyalty. Based on the above results, it is noticeable that in the effects of electronic security service quality satisfaction and electronic security customer satisfaction on switching barrier, all of them had meaningful effects except for alternative attractiveness. This signifies that switching barrier factor can increase when the service quality of electronic security and customer satisfaction increase. In other words, it can be said that increased awareness of electronic security service quality satisfaction and electronic security customer satisfaction by electronic security users can lead to high customer loyalty by establishing switching barrier through such increased awareness.
The study aimed to evaluate cancer damage cost due to risk from benzene inhalation. We performed health risk assessment based on US EPA guideline to estimate annual population risk in Ulsan metropolitan city. Also, we estimated a willingness-to-pay amount for reducing a cancer mortality rate to evaluate a value of statistical life. We combined the annual population risk and the value of statistical life to calculate the cancer damage cost. In the health risk assessment, we applied the benzene unit risk ($2.2{\times}10^{-6}{\sim}7.8{\times}10^{-6}$) in the US EPA'S Integrated Risk Information System to assess the annual population risk. Average concentration of benzene in ambient air is $7.88{\mu}g/m^3$(min: 1.16~max: $23.32{\mu}g/m^3$). We targeted an exposure population of 516,641 persons who aged over 30 years old. Using a Monte-Carlo simulation for uncertainty analysis, we evaluated that the population risk of benzene during ten years in Ulsan city is 2.90 persons (5 percentile: 0.32~95 percentile: 9.11persons). And the monthly average WTP for 5/1,000 cancer mortality reduction during ten years is 14,852 Won(95% C.I: 13,135~16,794 Won) and the implied VSL is 36 million Won(95% C.I: 30~40 million Won). Cancer damage cost due to risk from benzene inhalation during 10 years in Ulsan city is about 104 million Won(5 percentile: 13~95 percentile: 328 million Won). Health benefit cost to reduce a cancer mortality risk of benzene is about 50 million Won is Ulsan metropolitann city. But, it is very important that this cost is not for all health damage cost of cancer mortality in some area. We just recommended a model for evaluating a cancer risk reduction, so we must re-evaluate an integrated application of total VOCs damage cost including benzene.
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