• Proceedings of the Korean Society of Computer Information Conference
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• 2015.07a
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• pp.41-44
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• 2015

본 논문에서는 안드로이드 기기를 활용하여 차량의 번호판을 인식하는 시스템을 제안한다. 이 시스템은 안드로이드 기기로 촬영한 차량의 이미지를 이용하여 번호판을 인식한다. 촬영한 이미지에서 번호판 영역을 추출한 후 번호판 영역 내에서 각각의 문자를 개별 추출한다. 추출된 각각의 문자에 대하여 세선화를 수행하고 세선화 후 얻은 이미지를 신경망의 입력으로 이용하여 최종적으로 개별의 문자를 인식하고 결과를 안드로이드 기기에 출력한다. 안드로이드 기기를 이용하여 바로 번호판을 인식할 수 있기 때문에 시, 공간에 대한 제약이 없으며 신경망을 사용하기 때문에 기존의 문자 인식 방법보다 우수한 인식률을 보인다.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.10 no.16
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• pp.121-127
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• 1987

In the surveying of small-medium companies, it is shown that understanding ＱC methods is onething and applying them is another. To the extent of ＱC activities in KS license companies and Non-KS license companies, there is considerable difference between them. As a result of surveying, some actions must be taken to make ＱC activities lively in small medium companies. At first ＱC education and training should be changed to workshop-like education. Also true positive assistance and practical help from large companies which have relations with then, it is needed to suggest directions which small medium companies promote ＱC activities of themselves.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.429-431
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• 2012

Vehicle-logo recognition technology is very important in vehicle automatic recognition technique. The intended application is automatic recognition of vehicle type for secure access and traffic monitoring applications, a problem not hitherto considered at such a level of accuracy. Vehicle-logo recognition can improve Vehicle type recognition accuracy. So in this paper, introduces how to vehicle-logo recognition. First introduces the region of the license plate by algorithm and roughly located the region of car emblem based on the relationship of license plate and car emblem. Then located the car emblem with precision by the distance of Hausdorff. On the base, processing the region by morphologic, edge detection, analysis of connectivity and pick up the PCA character by lowing the dimension of the image and unifying the PCA character. At last the logo can be recognized using the algorithm of support vector machine. Experimental results show the effectiveness of the proposed method.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.636-639
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• 2013

With the development and rapid growth of cloud computing, lots of application services based on cloud computing have been developed. In addition, cloud-based DRM systems have been developed to support those services' copyright and privacy protection. In this paper, we propose a new cloud-based user-friendly DRM system, which allows users to execute the same contents bought at most n times at any devices with license enforcement, which checks the validation of licenses before every execution, having no smart card, which has to carry a smart card reader that seems troublesome to a user, and providing the copyright and privacy protection.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.5
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• pp.29-39
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• 2020

Some drivers cannot meet the standards for a full driver's license and many countries allow them to drive a vehicle as long as they can satisfy certain conditions. Korea has mainly issued conditional driver's licenses to the disabled only after supplementary devices are attached either in the vehicle or in their bodies. However, it is becoming important to issue a conditional driver's license to other types of drivers, including the elderly as the population ages in the country. This study aims at improving the current practice of issuing conditional driver's licenses by benchmarking various types of conditional licenses in other countries. In particular, various conditions such as time, space, driving speed, road type, vehicle type, and specific individual conditions are compared. Issuing a conditional driver's license to various types of drivers should be beneficial, not only to elderly drivers but also to drivers who cannot live without a vehicle.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.797-800
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• 2003

In the current study, the authors propose a method for extracting license plate regions by means of a neural network trained to output the plates center of gravity. The method is shown to be effective. Since the learning pattern presentation positions are defined by random numbers, a different pattern is submitted to the neural network for learning each time, which enables it to form a neural network with high universality of coverage. The article discusses issues of the optimal learning surface for a license plate revered by the learning pattern, the effort of suppression learning of the number and headlight sections, as well as the effect of learning pattern enlargement/reduction and of concentration value conversion. Results of evaluation tests based on pictures of 595 vehicles taken at an underground parking garage demonstrated detection rates of 98.5%.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.668-671
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• 2014

Wiress high-speed internet network and Mobile devices such as smartphones and tablets are popular, production and consumption of information is changing from the PC environment to mobile environment. Thus, the development of related programs in the development of mobile applications than PC is dramatically increasing. In particular, A tool that is very easy to manufacture mobile app are emergence, Professionals, as well as increasing the public's interest. In this paper, when create a moblie apps, copyright and software license to be considered are examined.

• Journal of Broadcast Engineering
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• v.27 no.2
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• pp.185-197
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• 2022

Recently, deep learning networks with high performance for object recognition are emerging. In the case of object recognition using deep learning, it is important to build a training data set to improve performance. To build a data set, we need to collect and label the images. This process requires a lot of time and manpower. For this reason, open data sets are used. However, there are objects that do not have large open data sets. One of them is data required for license plate detection and recognition. Therefore, in this paper, we propose an artificial license plate generator system that can create large data sets by minimizing images. In addition, the detection rate according to the artificial license plate arrangement structure was analyzed. As a result of the analysis, the best layout structure was FVC_III and B, and the most suitable network was D2Det. Although the artificial data set performance was 2-3% lower than that of the actual data set, the time to build the artificial data was about 11 times faster than the time to build the actual data set, proving that it is a time-efficient data set building system.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.2
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• pp.219-227
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• 2022

In Korea, as the aging phenomenon accelerates, the problem of traffic accidents related to the elderly is continuously emerging. Efforts to improve this are being implemented, but unfortunately the results of these effects are not clear. Therefore, in this study, the effect of traffic characteristics and incentive policies on the return of driver's licenses of elderly drivers was reviewed. As a result of the analysis, it was confirmed that the intention to return the driver's license was low in the case of men, older people, those with low dependence on public transportation, those who undertook long driving hours, and those who took frequent trips. On the other hand, financial incentives were found to play a positive role with regard to the intention to return the driver's license. However, the effect is expected to be insignificant for those with a low intention to return the driver's license. As a result, under the current policy, it is predicted that there is a limit to improving the social problems caused by elderly drivers, meaning that it is necessary to review approaches that induce the return of their driver's licenses.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.26 no.4
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• pp.88-94
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• 2012

The government has pushed ahead with the establishment of a connection system among education-task-qualification with regards to the promotion of engineering industry, but there has been a lack of pertinent data. In this regard, this study investigated the ways of connecting universities' engineering education with Electrical Professional Engineer examination. The results show that the tendency of questions consists of 30[%] of transmission, 16[%] of basic theory, 14[%] of transformer, 14[%] of generation, 9[%] of new technology, 11[%] of other relevant fields. This study also presents a survey on the relationship between the engineer's license and college curriculum. The curriculum of Electrical Engineering Department of a leading National University in Seoul is investigated in relation to the Examination. Some learning materials for successful completion of the university curriculum and acquisition of the Professional Engineer license are also recommended.