• Journal of the Korean Society of Costume
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• v.55 no.5 s.95
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• pp.120-130
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• 2005

The main feature of Buddhist sculpture Is said to lay in how it can materialize the divineness. Therefore lots of people used to pay attention to whether its religious features draw people's reverence or not. However, the robe of Buddhist sculptures has not won its proper attention. The Buddhist robe Is usually considered as a mere measure to make Buddha's supernatural feature more vivid. However, contrary to our expectation, the robe is the very real one which can be found in people's lift. The Gandhara Buddhist sculpture robe does not have sleeves, but several sheet of clothes covered the sculpture. Moreover, we can find same features in monk's robe which appeared in the Gandhara art. I can therefore conclude that this robe is not confined to Buddha, but is very popular one in that time in Gandhara. This article would survey the main feature and its relevant things about Gandhara Buddhist sculpture's robe, especially its change process while it had been transmitted to China.

• Journal of the Korean Institute of Educational Facilities
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• v.21 no.1
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• pp.33-42
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• 2014

The purpose of this study is to suggest a basis for exterior space improving in university campus in terms of upgrading the quality of university education environment by analysing user's cognition and physical feature about campus exterior space. For this, this study was survey six major university students in Busan city about perception of campus exterior space, and analyzes the user's cognition by using natural-language vocabulary analysis for qualitative approach. Next, this study analyzes the physical feature of campus exterior space by investigating user's intensive using spaces and preferred, non-preferred spaces in their universities, then propose the improved direction of campus exterior space by comparing the analyzed data of user's cognition and physical feature. A SPSS20 program is used for the data analysis and the sample sizes are 171 college students.

• Proceedings of the KOSOMBE Conference
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• v.1996 no.11
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• pp.95-98
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• 1996

In this paper, The vehicle's path construction method for motorized wheelchair's autonomous navigation in a building through analysis of a corridor image using vision system has been proposed and We detected lines of vertical axis through camera distortion parameter, which was measured by camera calibration in a corridor image. Then we got the feature points in the lines. We analyzed the distance of feature points and what is feature points. we reconstructed corridor image to vehicle's path.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2008.11a
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• pp.91-92
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• 2008

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2009.10a
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• pp.745-746
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• 2009

• Journal of Internet Computing and Services
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• v.8 no.6
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• pp.135-144
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• 2007

Feature models are widely used in domain engineering phase of software product lines development to model the common and variable concepts among products. From the feature model, the feature configurations are generated by selecting the features to be included in target product. The feature configuration represents the requirements for the specific product to be implemented. Although there are a lot of researches on how to build and use the feature models and feature configurations, the researches on the formal semantics and reasoning of them are rather inactive. This paper proposes the feature configuration verification approach based on JESS, java-based rule-base system. The Graph Product Line, a standard problem for evaluating the software product line technologies, is used throughout the paper to illustrate this approach. The approach in this paper has advantage of presenting the exact reason causing inconsistency in the feature configuration. In addition, this approach should be easily applied into other software product lines development environments because JESS system can be easily integrated with Java language.

• International journal of advanced smart convergence
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• v.11 no.2
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• pp.38-43
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• 2022

In this study, there are many difficulties in defining and judging creative people because there is no systematic analysis method using accurate standards or numerical values. Analyze and judge whether In the previous study, A study on the application of rule success cases through machine learning algorithm extraction, a case study was conducted to help verify or confirm the psychological personality test and aptitude test. We proposed a solution to a research problem in psychology using machine learning algorithms, Data Mining's Cross Industry Standard Process for Data Mining, and CRISP-DM, which were used in previous studies. After that, this study proposes a solution that helps to judge creative people by applying the feature selection algorithm. In this study, the accuracy was found by using seven feature selection algorithms, and by selecting the feature group classified by the feature selection algorithms, and the result of deriving the classification result with the highest feature obtained through the support vector machine algorithm was obtained.

• Journal of Institute of Control, Robotics and Systems
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• v.13 no.3
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• pp.235-241
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• 2007

This paper proposes a self-calibration method of robots those are used in industrial assembly lines. The proposed method is a position compensation using laser sensor and vision camera. Because the laser sensor is cross type laser sensor which can scan a horizontal and vertical line, it is efficient way to detect a feature of vehicle and winding shape of vehicle's body. For position compensation of 3-Dimensional axis, we applied block interpolation method. For selecting feature point, pattern matching method is used and 3-D position is selected by Euclidean distance mapping between 462 feature values and evaluated feature point. In order to evaluate the proposed algorithm, experiments are performed in real industrial vehicle assembly line. In results, robot's working point can be displayed 3-D points. These points are used to diagnosis error of position and reselecting working point.

• Proceedings of the KOSOMBE Conference
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• v.1996 no.05
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• pp.103-107
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• 1996

In this paper, We propose an algorithm for reconstitution of chromosome images to extract its morphological feature parameters. It is reconstituted from 460 chromosome images using the 32 direction line algorithm. We extract three morphological feature parameters such as centromeric index, relative length ratio, and relative area ratio. The experiment results show that our method is batter than that of other researchers comparing with the error of feature parameters.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.12
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• pp.5685-5700
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• 2018

Cyber intelligence, surveillance, and reconnaissance (ISR) has become more important than traditional military ISR. An agent used in cyber ISR resides in an enemy's networks and continually collects valuable information. Thus, this agent should be able to determine what is, and is not, useful in a short amount of time. Moreover, the agent should maintain a classification rate that is high enough to select useful data from the enemy's network. Traditional feature selection algorithms cannot comply with these requirements. Consequently, in this paper, we propose an effective hybrid feature selection method derived from the filter and wrapper methods. We illustrate the design of the proposed model and the experimental results of the performance comparison between the proposed model and the existing model.