• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.5
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• pp.540-548
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• 2012

The Weapon Target Allocation(WTA) problem is the NP-Complete problem. The WTA problem is that the threatful air targets are assigned by weapon of allies for killing the targets. A good solution of NP-complete problem is heuristic algorithms. Genetic algorithms are commonly used heuristic for global optimization, and it is good solution on the diverse problem domain. But there has been very little research done on the generation of their initial population. The initialization of population is one of the GA step, and it decide to initial value of individuals. In this paper, we propose to the population initialization method to improve a Genetic Algorithm. When it initializes population, the proposed algorithm reflects the characteristics of the WTA problem domain, and inherits the dominant gene. In addition, the search space widely spread in the problem space to find efficiently the good quality solution. In this paper, the proposed algorithm to verify performance examine that an analysis of various properties and the experimental results by analyzing the performance compare to other algorithms. The proposed algorithm compared to the other initialization methods and a general genetic algorithm. As a result, the proposed algorithm showed better performance in WTA problem than the other algorithms. In particular, the proposed algorithm is a good way to apply to the variety of situation WTA problem domain, because the proposed algorithm can be applied flexibly to WTA problem by the adjustment of RMI.

• Journal of Korean Society of Forest Science
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• v.89 no.2
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• pp.145-160
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• 2000

This study is focused to the national park of Korean typical Sea Hally$\check{o}$ Haesang, and its visual resources and practiced inspect course by the way of suppositions and tests, to show the visual resource management objectively, and that of qualitative basic data. Accordingly by measuring the physical amount spatial structure with the visual amount originated from the Mesh Analyzing Method and the Visual Preference from the Scenic Beauty Estimation(S.B.E.) method and analyzed the valuation of the visual resource by Iverson method. Spatial image structure measured by Semantic Differential(S.D.) Scale was shown through the factor analysis algorithm for the analyzing psychological amount and examined the flowing out of decisive factor and the objective importance related to the mutual factors by appling the measurement of the visual quality. As a national Park, the visual factors that have natural landscape harmonized with forest, sky, surface of the water, curious stones and rocks, and temples should be escalated their values affirmatively so as to be the scenery of pointed direction and enjoyable, and it is of more needed for visual resource and its' controlling technique to make artificial structures more intentional planning and systemical setting. When we are viewing the improvement for the national park along with the visual resource management, reasonable level of development is needed, because when men interference surpass plantations and leasts will be damaged and the quality of natural landscape can be lowered, so it is needed to set up a management end, tangibly or clearly; and it is permitted limit coming and going ablably by accounting the suitable number for availing. But the controling end should be set in every level, positive management, very actively within the permissive varcability. It is the main business for the national park to prevent the damage from human for their gay life or to prevent the damage of a land carpet, and to restorate for the visual resource management.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.9
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• pp.1777-1787
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• 2017

Federated authentication (FA) is a multi-domain authentication and authorization infrastructure that enables users to access nationwide R&D resources with their home-organizational accounts. An FA-enabled user is redirected to his/her home organization, after selecting the home from an identity-provider (IdP) discovery service, to log in. The discovery service allows a user to search his/her home from all FA-enabled organizations. Users get troubles to find their home as federation size increases. Therefore, a discovery service has to provide an intuitive way to make a fast IdP selection. In this paper, we propose a discovery system which leverages geographical information. The proposed system calculates geographical proximity and text similarity between a user and organizations, which determines the order of organizations shown on the system. We also introduce a server redundancy and a status monitoring method for non-stop service provision and improved federation management. Finally, we deployed the proposed system in a real service environment and verified the feasibility of the system.

• Journal of Bio-Environment Control
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• v.25 no.3
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• pp.146-152
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• 2016

Due to complicate canopy structures of Irwin mangoes grown in greenhouses, it is difficult to determine their growth parameters accurately. Leaf area, leaf fresh weight, and leaf dry weight are widely used as indicators to diagnose the tree growth. Therefore, it is necessary to establish models that can non-destructively estimate these growth indicators. The objective of this study was to establish regression models to estimate leaf area, leaf fresh weight, and leaf dry weight of Irwin mangoes (Mangifera indica L. cv. Irwin) by using leaf length, leaf width, petiole length, and SPAD value. The input values of leaf length, leaf width, petiole length, and SPAD value of 6-year old Irwin mangoes were measured, and the corresponding output values of leaf area, leaf fresh weight, and leaf dry weight were also measured. After 14 models were selected among the existing models, coefficients of the models were estimated by regression analysis. Three models with higher $R^2$ and lower RMSE values selected. In validation the $R^2$ values for the selected models were 0.967, 0.743, and 0.567 in the leaf area, leaf fresh weight, and leaf dry weight models, respectively. It is concluded that this models will be helpful to conveniently diagnose the growth of the Irwin mango.

• Journal of Korea Port Economic Association
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• v.25 no.4
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• pp.203-224
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• 2009

The purpose of this paper is to analyze the relationship between the budget allocation of Busan-Gwangyang port and political variables such as general election, presidential election, local election and political regimes. To do this, this study did correlation analyses using budget data of all ports in Korea, Busan, and Gwangyang during 1985-2007. The main results of the correlation analyses are as follow: First, there was a positive correlation between budget of Busan and local election. Also, there was a positive correlation between budget of Gwangyang and presidential election. This results suggest that public choice model and political business cycle model seem to apply to the port development policy. Second, there was no correlation between the regionalism of the political regime and budget of Busan-Gwangyang ports. Third, it can be inferred that the national agenda of the hub strategy can be positively related to the implementation of port development budget. Further studies are needed to analyse the relationship between the political variables and establishment of port plan, decision making about port development and ground-breaking of port construction.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.30 no.2
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• pp.197-200
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• 2004

Sensor and optical properties have become critical features in powder foundation. The flaky barium sulfate powder shows good smooth texture, adhesion and natural looking characteristics. However, it has limitations abilities in UV shielding, hiding and blooming effect. Thus we adopt TiO$_2$ that has excellent hiding power and blooming effect as well as UV shielding ability, but TiO$_2$ has still intrinsic problems in dispersion and texture. To overcome this disadvantages, the barium sulfate/TiO$_2$/dimethicone composite powder was prepared. The flaky barium sulfate powder was coated with TiO$_2$ in nanoscale and followed by coated with dimethicone. When this surface-modified powder was applied for make-up cosmetics, especially in powder foundation, the powder gave powder foundation more good characteristics than the original flaky barium sulfate, Ti02 powder, dimethicone in abovementioned optical and sensory properties. To characterize the distinctive features of this surface-modified powder, we measured its characteristics with UV in vitro tester, hiding powder test method, goniophotometer, consumer panel test and so on.

• Journal of Digital Convergence
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• v.11 no.9
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• pp.55-65
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• 2013

The purpose of this study was to investigate correlations between entrepreneurial intention and entrepreneurship and entrepreneurial success. For that purpose, the study carried out a survey among the students of Graduate School of Business & Entrepreneurship, the students of small business start-up education, and general people and reviewed the previous studies and literature with a focus on the characteristics and capabilities of entrepreneurial intention. The investigator identified the characteristic factors of entrepreneurial intention including entrepreneurial intention, entrepreneurship, entrepreneurial success, education, and mentor, set a research model and hypothesis for their relations with entrepreneurial success, and empirically analyzed and tested them. The empirical analysis results were summarized as follows: first, entrepreneurial methods and abilities of the variables of entrepreneurial intention turned out to have significant impacts on entrepreneurial success. Second, corporation determination, external factor, and internal factor of the variables of entrepreneurship turned out to have significant effects on entrepreneurial success. Third, re-education after success turned out to be the most influential entrepreneurial education factor on entrepreneurial success, which points to a need for constant education after setting up a business. Fourth, practical entrepreneurial mentors had the greatest influences on entrepreneurial success, being followed by successful entrepreneurial mentors and socially successful mentors in the order. One can have a vision to see a further future of his or her business and promote its growth by forming relationships with those who have more knowledge about the line of business and richer experiences in the field. The subjects overwhelmingly had a positive personality, which suggests that those who try to start a business tend to be positive and considerate of others.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.48 no.4
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• pp.63-70
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• 2011

In this paper, we proposed a method for estimating energy expenditure using the unfixed axis of the accelerometer. Most studies adopted waist-placement because of the fact that the waist is close to the center of mass of a whole human body. But we adopted pocket-placement, which is capable of using unfixed axis of sensor, that is more convenient than conventional methods. To evaluate the proposed method, 28 male subjects performed walking and running on a motor driven treadmill. All of subject put on the indirect calorimeter and fixed accelerometer, then data were simultaneously measured during exercise. The regression analysis was performed using the test group(n=20) and the regression equation was applied to the control group(n=8). A strong linear relationship between energy expenditure and unfixed accelerometer signal was found. Futhermore, the coefficient of determination was significantly reliable($R^2$=0.98) and showed zero of p-value. The error of energy expenditure estimation between indirect calorimeter and two types of accelerometer was 15.0%(fixed) and 17.0%(unfixed) respectively. These results show the possibilities that the unfixed accelerometer can be used in estimating the energy expenditure during exercise.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.26 no.1
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• pp.9-17
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• 2013

In this study, an efficient analytical model for the dynamic analysis of tall buildings with a shear wall-frame structural system has been proposed. A shear wall-frame structural system usually consists of a core wall showing flexural behavior and a frame presenting shear behavior. Therefore, the deformed shape of the shear wall-frame structural system is shown by the combination of flexural mode and shear mode. These characteristics should be considered when an efficient analytical model is developed. To this end, the effect of shear wall and frame on the dynamic behavior of a tall building with a dual system has been separately investigated. In this study, the structural characteristics of a separated individual shear wall model and the frame model without shear wall has been evaluated. In order to consider the effect of the shear wall in the frame model without shear wall, a rigid body was used instead of the shear wall. Each equivalent model for the separated shear wall part and frame part has been independently developed and two equivalent models were then combined to create an efficient analytical model for tall buildings with a shear wall-frame structural system. In order to verify the efficiency and accuracy of the proposed method, time history analyses of tall buildings with a shear wall-frame system were performed. Based on analytical results, it has been confirmed that the proposed method can provide accurate results, requiring significantly reduced computational time and memory.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.27 no.2
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• pp.289-297
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• 2009

In the paper, we propose the methodology to extract training dataset automatically for supervised classification of road networks. For the preprocessing, we co-register the airborne photos, LIDAR data and large-scale digital maps and then, create orthophotos and intensity images. By overlaying the large-scale digital maps onto generated images, we can extract the initial training dataset for the supervised classification of road networks. However, the initial training information is distorted because there are errors propagated from registration process and, also, there are generally various objects in the road networks such as asphalt, road marks, vegetation, cars and so on. As such, to generate the training information only for the road surface, we apply the Expectation Maximization technique and finally, extract the training dataset of the road surface. For the accuracy test, we compare the training dataset with manually extracted ones. Through the statistical tests, we can identify that the developed method is valid.