• Proceedings of the KSR Conference
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• 2007.11a
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• pp.172-178
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• 2007

The purpose of Railroad Vehicles License Management in accordance with the Railroad Safety Law is to improve the quality of railroad safety. And the train simulators come into use for training of train operation and testing to issue Railroad Vehicles License. So, It is very important that the simulators for the Railroad Vehicles License Test require to work correctly, to measure driver's operation quality in numerical system and to ensure the justice of license test. In fact, nobody can guarantee that the simulators are feasible performance to use in license test. The simulator for train driver license test can be used effectively for studying of needed performance and quality to test new driver's skill. This study hopefully provides the base for improving the quality of the simulator for train driver's license test and contributes furthermore to improve the simulator development technology and railroad safety.

• Journal of Information Processing Systems
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• v.12 no.4
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• pp.661-680
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• 2016

The vehicle license plate recognition (VLPR) system analyzes and monitors the speed of vehicles, theft of vehicles, the violation of traffic rules, illegal parking, etc., on the motorway. The VLPR consists of three major parts: license plate detection (LPD), license plate character segmentation (LPCS), and license plate character recognition (LPCR). This paper presents an efficient method for the LPCS and LPCR of Korean vehicle license plates (LPs). LP tilt adjustment is a very important process in LPCS. Radon transformation is used to correct the tilt adjustment of LP. The global threshold segmentation method is used for segmented LP characters from two different types of Korean LPs, which are a single row LP (SRLP) and double row LP (DRLP). The cross-correlation matching method is used for LPCR. Our experimental results show that the proposed methods for LPCS and LPCR can be easily implemented, and they achieved 99.35% and 99.85% segmentation and recognition accuracy rates, respectively for Korean LPs.

• Korean Security Journal
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• no.7
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• pp.191-212
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• 2004

According to current record of private security in Korea, more than 107,963 private security guards are employed by 2,051 security guard association. However, it is obvious that there is lack of any kinds of professional license. To ensure the profession of Private Security industry and at the same time to improve the quality of private guard duty, it is necessary to introduce professional license system which is specialized and developed. The kinds of license anticipated are security guards services, armored car services, alarm services, proprietary security services, special guards services, terror, security consultants services, and private investigators. To settle those license system, there should be not only exertion of academic society but also administrative support of government and research of legal office th arrange legal and official structure.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.4
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• pp.19-28
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• 2020

Vehicle license plate recognition system is not generalized in Malaysia due to the loose character layout rule and the varying number of characters as well as the mixed capital English characters and italic English words. Because the italic English word is hard to segmentation, a separate method is required to recognize in Malaysian license plate. In this paper, we propose a mixed character level and word level English license plate recognition algorithm using deep learning neural networks. The difference of Gaussian method is used to segment character and word by generating a black and white image with emphasized character strokes and separated touching characters. The proposed deep learning neural networks are implemented on the LPR system at the gate of a building in Kuala-Lumpur for the collection of database and the evaluation of algorithm performance. The evaluation results show that the proposed Malaysian English LPR can be used in commercial market with 98.01% accuracy.

• Korean Management Science Review
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• v.13 no.2
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• pp.1-11
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• 1996

Two different methods to extract the license plate area of a vehicle have been used for automatic recognition purposes. One method is with a color vision system and the other is with an edge detecting operator. The system with color vision has some problems if the colors of license plate and vehicle's body are similar. The various plate colors in Korea also drops the system performance. The edge detecting operator also has a problem for a real time processing since it performs on all pixels of the scene. In this paper a possible method using gray level vision system and available pre-known information of license plates is suggested. The suggested procedure searches the lower boundary of the plate by counting high contrast points between one and near pixel from the bottom line of the scene. It finds the upper boundary from the bottom line by adding number plate height after finding the lower boundary. The left and right boundaries are found by similar processes.

• Journal of radiological science and technology
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• v.44 no.5
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• pp.555-563
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• 2021

The rapidly developing medical environment has required the expertise and social responsibility of radiologic technologists and needs to be enacted to support them. Therefore, the purpose of this study tried to present the basis for enacting advanced radiologic technologists act in Korea by studying the United State's license system to reflect the changes of the times. As a result, we were suggested the following conclusions. First, granting the legal status of advanced radiologic technologists is a global trend. Second, in order to legislate the advanced radiologic technologists license system, the formation of an industry-government-academic council should be preceded. Last, we could be improved public health and medical care and advance laws and systems by the legalization of radiologic technologist act.

• Korean Security Journal
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• no.16
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• pp.339-356
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• 2008

This study discusses some topics of Security License System and Security Training System in Japan. Especially, the Security License must be very influence that the growth of security industry. And it's true that a few enlightened approach to cooperation between police and private security has already begun to take place in some divisions. The most important thing of the License Test System in Japan is the method of test rule and test section. Then the training systems of the security agent have been very impressive rule and the system for security agent. Today, the market of the security industry in Korea have been going to develop and extend to the future industry. The assignments that are leaved to security industry in Korea must be that the improvement of the License & Training System of Security Agent in Korea should be made effort by the security industry and the public section that looks like the police.

• The Korean Journal of Food And Nutrition
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• v.26 no.2
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• pp.234-241
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• 2013

The purpose of this research was to suggest a category and level of national examination for dietitian's license and provide basic data for the development of national examination question by analyzing the current states on the curriculum of national examination for the dietitian's license and correlation with the current states on curriculum and national examination for the dietitian's license. The higher the current states on curriculum, the lower absentee rate and failing rate of the national examination for the dietitian's license. The higher the current states on curriculum, the higher pass rate of the national examination for the dietitian's license. Also, the current states on curriculum were positive relationship with correct answer rates. The higher the educational system, the higher the current states on curriculum. The educational system was negative relationship with the current states on curriculum of 'public health', 'advanced nutrition', 'food science', 'principles of culinary', and 'food sanitary law (p<0.05)'. The correct answers rates of 'institutional foodservice' were significantly positive relationship with the current states on curriculum of 'institutional foodservice (p<0.01)', 'foodservice organization (p<0.01)', 'food sanitation (p<0.05)', and 'practice in foodservice institutions (p<0.01)'. The pass rate was significantly positive relationship with the correct answer rates of 'institutional foodservice (p<0.01)', 'physiology (p<0.01)', 'biochemistry (p<0.01)', 'food sanitary law (p<0.01)', 'food science and preparation (p<0.05)', 'nutrition education (p<0.01)', 'nutrition (p<0.01)', and 'total score (p<0.05)'.

• Journal of KIISE:Computing Practices and Letters
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• v.7 no.1
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• pp.77-86
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• 2001

With the growth of the EC(Electronic Commerce), Buying and selling software through the internet are expanded. Among the ESD(Electronic Software Distribution) methods, Buy-first method and TrY-before-bu1 method can not solve the illegal copy problem. Recently developed EL(Electronic License) model solve the illegal copy problem by separating the software and license. But this method also can not support various ways for payment. In this paper we propose the software license management system that is a newly form like ESD model. This system proposes NL(New License) to support various payment methods and SC(Software Charge) to insure that a seller takes the software price. Agent of the proposed system offers scalability to other systems and illegal copy protection function bv managing NL and SC.

• Journal of the Korea Society of Computer and Information
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• v.27 no.4
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• pp.19-26
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• 2022

With the recent development of intelligent transportation systems, car license plate recognition systems are being used in various fields. Such systems need to guarantee real-time performance to recognize the license plate of a driving car. Also, they should keep a high recognition rate even in problematic situations such as small license plates in low-resolution and unclear image due to distortion. In this paper, we propose a real-time car license plate recognition system that improved processing speed using object detection algorithm based on anchor-free method and text recognition algorithm based on Convolutional Neural Network(CNN). In addition, we used Spatial Transformer Network to increase the recognition rate on the low resolution or distorted images. We confirm that the proposed system is faster than previously existing car license plate recognition systems and maintains a high recognition rate in a variety of environment and quality images because the proposed system's recognition rate is 93.769% and the processing speed per image is about 0.006 seconds.