• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.4
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• pp.11-21
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• 2015

In order to achieve success in ground operations, searching for moving targets is one of critical factors. Usually, the system of searching for adversary ground moving targets has complex properties which includes target's moving characteristics, camouflage level, terrain, weather, available search time window, distance between target and searcher, moving speed, target's tactics, etc. The purpose of this paper is to present a practical quantitative method for effectively searching for infiltrated moving targets considering aforementioned complex properties. Based upon search theories, this paper consists of two parts. One is infiltration route analysis, through terrain and mobility analysis. The other is building dynamic probability maps through Monte Carlo simulation to determine the prioritized searching area for moving targets. This study primarily considers ground moving targets' moving pattern. These move by foot and because terrain has a great effect on the target's movement, they generally travel along a constrained path. With the ideas based on the terrain's effect, this study deliberately performed terrain and mobility analysis and built a constrained path. In addition, dynamic probability maps taking terrain condition and a target's moving speed into consideration is proposed. This analysis is considerably distinct from other existing studies using supposed transition probability for searching moving targets. A case study is performed to validate the effectiveness and usefulness of our methodology. Also, this study suggests that the proposed approach can be used for searching for infiltrated ground moving target within critical time window. The proposed method could be used not only to assist a searcher's mission planning, but also to support the tactical commander's timely decision making ability and ensure the operations' success.

• Asian Journal for Public Opinion Research
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• v.9 no.4
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• pp.352-367
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• 2021

Purpose: This research aims to examine gender preferences for men and women advertising models in Saudi advertisements. Saudi Arabia is known as one of the most gender-segregated society in the world, and it has gender-specific roles, characteristics, and behaviors that are undesirable for the other gender. Methodology: The questionnaire was developed with the help of earlier studies on perceptions towards advertising models and validated by a jury of experts and focus groups. The gender preferences for ten product categories (including automobiles, baby care products, cigarettes, cosmetics for women, fashion, food & beverages, motorcycles, personal care for men, personal care for women, sporting goods) were examined for men and women models. Similarly, three personal preferences characteristics for both genders (face beauty, voice quality, and Islamic dress), two characteristics for women models (body shape, femininity), and two characteristics for men models (height-weight balance, masculinity) were examined for men and women models separately. Finally, a survey was conducted to solicit responses from respondents (N=412). Findings: Results indicated significant gender preferences for gender-specific product categories and typical gender stereotypes in advertising models. Men models were preferred in men-specific products, and women models were required in women-specific products. Some product categories (including personal care for men and sporting goods) were ranked higher for men advertising models, while for women advertising models, other product categories (including personal care for women and cosmetics for women) were ranked higher. Masculinity was ranked highest as the preferred personal characteristic for men advertising models, while voice quality was highest for women advertising models. Finally, there is a significant difference between the preferred personal characteristic for men and women advertising models for three characteristics, including face beauty, Islamic dress, and masculinity and femininity. Implications: Saudi Arabia is a unique society with predominantly unique cultural dominance. Consequently, local culture greatly influences advertisements. It has stereotyped gender roles even in advertisements. This study will establish a baseline for further research on the subject area.

• International Area Studies Review
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• v.14 no.3
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• pp.221-246
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• 2010

The paper is basically attempted to reveal a mechanism of exchange rate determination in global foreign exchange markets. For a theoretical framework, uncovered interest rate parity(UIRP), covered interest rate parity(CIRP), and real interest rate parity(RIRP) are tentatively adapted, and GARCH-M model is employed for an econometric methodology. Empirical evidence shows that the UIRP is superior to others, and the RIRP is better than the CIRP in explaining how exchange rates are determined in global exchange markets. All of them, however, is not fully supported by economic theories. Following Frankel(1989), country premium, volatility premium, and currency premium are evaluated to see if which premium is a crucial in disturbing the RIRP, and it is found that country and currency premiums are a major components in disturbing the RIRP. To this end, market-oriented and market-determined systems has to be built to avoid currency disputes which is undergoing hot issue in global foreign exchange market.

• International Area Studies Review
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• v.14 no.3
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• pp.267-289
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• 2010

The purpose of this paper is to compare the different characteristics of Korean and Japanese Overseas Direct Investment(ODI) in Asia. An empirical test consists of two parts, the determinants of ODI and the micro characteristics of subsidiaries in Asia between Korea and Japan. Multiple regression and logistic regression model are used in empirical tests as methodology. The coefficient of GDP is significant and positive sign to sole venture in both countries. The coefficient of CPA in Korea is significant and positive sign to joint venture but insignificant in Japan. The coefficient of WAGE in Korea is significant and positive sign to joint venture but is significant and negative sign to joint venture in Japan. The coefficient of LBIT is significant and positive sign to joint venture in Japan. The coefficient of HOME is significant and positive sign to sole venture in both countries.

• Journal of Climate Change Research
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• v.1 no.1
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• pp.51-57
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• 2010

Recently the number of motorcycles has increased in urban area, and it is believed that motorcycle is one of the air pollution and greenhouse gas emission sources. But the greenhouse gas emission from motorcycle has been high uncertainty due investigation of a lack of activity data and emission factors in Korea. So in this study, the greenhouse gas emission from motorcycle is estimated by considering the population of moped and VKT(vehicle kilometers travelled) of motorcycle by recent other studies. And the emissions by IPCC Tier 2 and Tier 3 methodology are calculated and compared. As the results, the nationwide $CO_2$ equivalent emissions from motorcycles by Tier 2 and Tier 3 method are calculated as 2,758 kton/yr and 2,739 kton/yr in 2008. The contribution ratio of this emission is estimated as 2.7% in on-road transport sector.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.11
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• pp.1489-1494
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• 2018

Recently, culture technology (CT), which combines cultural contents and IT technology, is being watched as a new growth engine, and IT technology is actively utilized in preserving, inheriting and utilizing cultural heritage. For this, new areas of convergence of IT technology and cultural heritage are attracting attention. In particular, virtual reality is a representative area of IT convergence in the era of the fourth industrial revolution. Although some studies have been conducted to utilize virtual reality technology to preserve and inform cultural heritage, it is mainly limited to tangible cultural properties. In this study, we propose a methodology to develop contents of intangible cultural heritage using virtual reality technology in intangible cultural properties. To do this, we classify the types of intangible cultural properties to apply the technology to each type of intangible cultural property. Next, virtual reality, augmented reality, and $360^{\circ}VR$ video technology are applied to the intangible cultural properties classified.

• International Area Studies Review
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• v.21 no.4
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• pp.65-83
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• 2017

As Global value chain(GVC) is deepening, the importance of intermediated good trade is growing in international trade issues. Such facts lead to much discussions about the relation between Global Outsourcing and pollution. This study analyzed the effect of Global outsourcing on Environment using the data including 21 industries for 2004-14. $CO_2$ intensity is used as a proxy for the environment variable and to measure Global outsourcing and I employed the method suggested by Feenstra and Hanson(1999), Amiti and Wei(2006). To examine the effect Global outsourcing on the Environment more precisely, this paper controlled the factors that can affect the environment level on the basis of the theory suggested by Copeland and Taylor(1994). In the methodology, System GMM is employed to solve endogenous problem. The results show that for overall industries, Global outsourcing effect cannot be identified and for polluting industries, the result is identical. However, Global outsourcing has a negative effect on the pollution level for China and developing countries. In other words, as Global outsourcing is increasing, the national pollution level is decreasing.

• Journal of Korean Society of Rural Planning
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• v.27 no.2
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• pp.1-11
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• 2021

In this study, in order to induce landscape-friendly various development plans established at the district level, the contents of landscape plans appearing in domestic laws and systems and related previous studies are reviewed and comparative analysis is performed to advance the district-level landscape plan. The main focus was to explore the institutional methodology for this. The summary of the research results is as follows. First of all, as a result of analysis of the landscape plan content prescribed in the National Territory Planning Act and the enforcement decree of the same Act, the landscape plan content for natural elements and the landscape plan content for artifacts appeared mixed. Next, looking at the analysis results of the landscape plan contents in the Landscape Act, the Enforcement Decree of the same Act, and the landscape plan establishment guidelines, it is analyzed that the content mainly intended to improve the artificial landscape in terms of aesthetics, such as color, lighting, and buildings. Became. As a result of analysis of the landscape plan contents in the district unit plan establishment guidelines, it was found that the contents of the landscape plan for the skyline, night view, color, advertisements, and viewpoints were presented. As a result of the analysis of the landscape plan contents in the preceding study, the plan contents for ecological, recreational, and micro-visual aspects were revealed, and all three aspects aim to establish a landscape plan within the range of minimizing damage to nature. there was. Appeared to be. The results of this study are considered to be able to induce more landscape and nature-friendly district unit plans being conducted at the district level.

• The Korean Journal of Franchise Management
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• v.12 no.1
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• pp.45-55
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• 2021

Purpose: How to build the positive emotion of customer is very important, because it affects the positive attitude. Brand evidence has a significant impact on consumer behavior in terms of reinforcing consumers' perception of food service companies and differentiating them from competing brands. Thus, this study examines the effect of brand evidence on emotion (positive emotion and negative emotion), and attitude in restaurant industry. Research design, data, and methodology: This study examines the structural relationship among brand evidence, emotion, and attitude. Brand evidence divide into three sub-dimensions such as physical evidence, core service, and employee service. In order to test the purposes of this study, research model and hypotheses were developed. The questionnaire items were modified and used according to the content of this study based on previous studies. All constructs were measured by multiple items tested and developed in the previous research. The data were collected from 439 restaurant users from Seoul area were analyzed using SPSS 22.0 and SmartPLS 3.0 program. A total of 460 questionnaires were distributed and a survey was conducted for 4 weeks, and a total of 439 were used for analysis, excluding non-response data and 21 unusable response data among the collected questionnaires. Frequency analysis was conducted to identify the general characteristics of the survey subjects. To measure the reliability and validity of the measurement tools, confirmatory factor analysis was conducted. Structural model analysis was conducted to verify the research model. Result: The findings demonstrate that physical evidence, core service, employee service had positive effects on positive emotion. And core service and employee service had negative effects on negative emotion while physical evidence did not have. Also, positive emotion had positive effect on attitude and negative emotion had negative effect on attitude. Conclusions: The findings of this study provide guidelines on how to enhance competitiveness in restaurant industry through understanding brand evidence's effects on raising perceived consumer's emotion and attitude. Therefore, food service companies should establish a marketing strategy that can stimulate positive emotions through brand evidence, which is all factors related to service brands that influence consumers' evaluation of service products and purchase decision-making process.

• Korean Journal of Agricultural Science
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• v.49 no.3
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• pp.619-627
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• 2022

In Korea, apples and pears are among the most important agricultural products to farmers who seek to earn money as income. Generally, farmers make decisions at various stages to maximize their income but they do not always know exactly which option will be the best one. Many previous studies were conducted to solve this problem by predicting farmers' income structure, but researchers are still exploring better approaches. Currently, machine learning technology is gaining attention as one of the new approaches for farmers' income prediction. The machine learning technique is a methodology using an algorithm that can learn independently through data. As the level of computer science develops, the performance of machine learning techniques is also improving. The purpose of this study is to predict the income structure of apples and pears using the automatic machine learning solution H2O.AI and to present some implications for apple and pear farmers. The automatic machine learning solution H2O.AI can save time and effort compared to the conventional machine learning techniques such as scikit-learn, because it works automatically to find the best solution. As a result of this research, the following findings are obtained. First, apple farmers should increase their gross income to maximize their income, instead of reducing the cost of growing apples. In particular, apple farmers mainly have to increase production in order to obtain more gross income. As a second-best option, apple farmers should decrease labor and other costs. Second, pear farmers also should increase their gross income to maximize their income but they have to increase the price of pears rather than increasing the production of pears. As a second-best option, pear farmers can decrease labor and other costs.