• Proceedings of the KIEE Conference
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• 2003.10a
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• pp.25-28
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• 2003

Fractal mathematics is being highlighted as a research method for classification of image. But the application of Fractal dimension(FB) has been required the complicated calculation method because of its complex repetition progressing. In this paper, it has been developed the new approach method to express the Fractal Dimension(FB) for aging level calculation and estimation system of outside insulator using special image processing algorithm. As a result after FD testing, the recognized aging estimation of FD has a very characteristics compared to the conventional visual inspection.

• International Journal of Contents
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• v.6 no.4
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• pp.1-7
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• 2010

Natural images often contain useful information about the scene such as text or company logos placed on a rectangular shaped plane. The 2D images captured from such objects by a camera are often distorted, because of the effects of the perspective projection camera model. This distortion makes the acquisition of the text information difficult. In this study, we detect the rectangular object on which the text is written, then the image is restored by removing the perspective distortion. The Hough transform is used to detect the boundary lines of the rectangular object and a bilinear transformation is applied to restore the original image.

• Journal of information and communication convergence engineering
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• v.7 no.4
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• pp.442-448
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• 2009

This paper proposes a fingerprint image processing algorithm to accurately extract minutiae in the process of fingerprint recognition. We improved the matching accuracy of low quality fingerprint images by using effective ridge vector and ridge probability. The proposed algorithm improves the clarity of ridge structures and reduces undesired noise. We collected thumb print images from 10 individuals 5 separate times each, in total using 50 thumbprints. We registered one of the five thumbprint images from each individual to match the registered one with the other four thumbprint images, and alternated the registered thumbprint image. We matched thumbprints 20 times for each individual. In total, we conducted 200 matches for the thumbprints from the 10 individuals. We improved the verification accuracy and reliability compared to conventional methods.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.3034-3036
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• 2000

Recently the use of Laser Projector is ascending world-widely to make the best effiencies out of the various events & commercials. To produce fixed image through Laser projector, at least 24 times/sec of iteration is required. In this view, its performance is much influenced by coordinates extraction method for high-speed controlling. This paper basically introduces the way of inputting coordinates by extraction directly from outline rather than indicating size and directions of image's outline coordinates which used by renowned US company 'L' and etc.

• Journal of Platform Technology
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• v.6 no.4
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• pp.3-10
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• 2018

A projection-based active information display system was proposed. The proposed system is based on Intelligent Space and a steerable projector mounted mobile robot which is called Ubiquitous Display (UD). In order to transfer visual information for a human in the Intelligent Space, the UD projects a certain shape of an image with a fixed size. Due to redundancy of degree of freedom (DOF), there are lots of situations to project a same shape and size of the image on a surface. In this paper, we describe a method to determine a goal posture of the UD. Here, the goal posture is the most efficient position and orientation of the UD so as to project visual information and it is determined by the Intelligent Space. To verify the proposed method, simulation and demonstration are carried out.

• Journal of Platform Technology
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• v.6 no.4
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• pp.18-25
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• 2018

This paper describes a real-time human and robot tracking method in Intelligent Space with multi-camera networks. The proposed method detects candidates for humans and robots by using the histogram of oriented gradients (HOG) feature in an image. To classify humans and robots from the candidates in real time, we apply cascaded structure to constructing a strong classifier which consists of many weak classifiers as follows: a linear support vector machine (SVM) and a radial-basis function (RBF) SVM. By using the multiple view geometry, the method estimates the 3D position of humans and robots from their 2D coordinates on image coordinate system, and tracks their positions by using stochastic approach. To test the performance of the method, humans and robots are asked to move according to given rectangular and circular paths. Experimental results show that the proposed method is able to reduce the localization error and be good for a practical application of human-centered services in the Intelligent Space.

• Korea Trade Review
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• v.44 no.1
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• pp.221-235
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• 2019

SMEs are experiencing difficulties in doing sales promotion due to the low awareness of the image of the company and the products produced by them in the global market. Therefore, the Government should seek ways to raise awareness of SMEs' image and products. SMEs have to carry out global innovation activities needed to develop new products or new technologies, but they are exposed to limitations of these innovative activities due to the limit of their available resources. Therefore, as a national project, the Ministry of SMEs and Startups and the Small and Medium Business Corporation are doing project for fostering and constructing global shopping mall (independent mall) so that SMEs can strengthen their global innovation activities. The purpose of this paper is to contribute to succeeding in the project for fostering and constructing global shopping mall (independent mall) by studying the case of Zungle Incorporation which operates a global shopping mall and greatly increases exports by participating in this project, and identifying success factors of Zungle Incorporation in doing this project.

• Journal of Navigation and Port Research
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• v.39 no.5
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• pp.401-408
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• 2015

This research seeks to improve the understanding of corporate social responsibility (CSR) and its advantages in the shipping sector. Recently, an improved emphasis on CSR, which incorporates environmental and social concerns into economic considerations of firms, can be found in business management and marketing literature. This is mainly because of people's increased awareness in regards to the negative consequences of corporate activities such as increased environmental pollution and gaps between the rich and the poor. According to the previous literature, it has been revealed that responsible actions by companies can generate positive outcomes in terms of financial and time aspects, but more importantly, intangible equity of the company, including improved corporate reputation, image as well as brand. As the regulation is intensifying in regards to environmental and social responsibility in the shipping sector, shipping companies are trying to engage in CSR to gain competitive advantages. While the reputation and image of shipping companies play essential roles for developing sustainable maritime transport, few studies have been conducted for how the CSR of shipping companies influence the shipping companies' reputation and image relative to other industries. In this regard, this study aims to investigate the effect of the corporate social responsibility on corporate reputation and image of shipping companies on the basis of an exploratory study in the Republic of Korea. This research would be beneficial to both academics and practitioners for developing useful CSR strategies which could promote the public's recognition of the shipping sector.

• Proceedings of the Korean Association for Survey Research Conference
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• 2000.06a
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• pp.59-87
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• 2000

The hypothesis of this study is that change acceptance and work adaptation of change agents are influenced by positive self-image and risk tolerance. In order to examine the hypothesis, this study was performed with 305 change agents from six branches of a conglomerate company. Specifically, self-image was measured by locus of control, self-efficacy, self-esteem, and positive affectivity; risk tolerance was measured by tolerance for ambiguity, risk aversion, and openness to experience. The result of this study indicated that self-image and risk tolerance significantly predicted change acceptance and work adaptation. Especially, the results of structural model revealed that change acceptance mediated the relationship between characteristic variables (such as self image and risk tolerance in this study) and work adaptation. Based on the results, we suggest that change agents keep developing positive self-image and risk tolerance in order to play the key role in leading organizational change.

• Survey Research
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• v.1 no.2
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• pp.59-87
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• 2000

The hypothesis of this study is that change acceptance and work adaptation of change agents are influenced by positive self-image and risk tolerance. In order to examine the hypothesis, this study was performed with 305 change agents from six branches of a conglomerate company. Specifically, self-image was measured by locus of control, self-efficacy, self-esteem, and positive affectivity; risk tolerance was measured by tolerance for ambiguity, risk aversion, and openness to experience. The result of this study indicated that self-image and risk tolerance significantly predicted change acceptance and work adaptation. Especially, the results of structural model revealed that change acceptance mediated the relationship between characteristic variables (such as self image and risk tolerance in this study) and work adaptation. Based on the results, we suggest that change agents keep developing positive self-image and risk tolerance in order to play the key role in leading organizational change.