• Korean Journal of Clinical Pharmacy
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• v.23 no.1
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• pp.71-76
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• 2013

Background (Purpose): The objective of this study was to investigate regulations on pharmacist and other healthcare professional license examination in Korea. Specific aim was focused on the implementation of new regulatory system governing pharmacist license examination particularly on naming of the subjects, method of the examination, and discrimination of pass or fail. Method: Laws and regulations of Korea on the examination system were retrieved from sources posted in Ministry of Government Legislation. Results: Two major regulatory differences were found between pharmacist and other healthcare professionals license examination systems. Firstly, the regulation on pharmacist license examination was ruled by the enforcement ordinance of parent law (Pharmacy Law) while it was ruled by enforcement regulation of parent law (Medical Law). Secondly, minimum grade requirement for pharmacist and other healthcare professionals was differently set up: 40% for each single subject in pharmacist and average of 40% for each group of several subjects in other healthcare professionals. Conclusion: Since pharmacist profession has drastically changed from drug-makers to drug-users during the recent decades, it is desirable to have the regulations on pharmacist license examination system amended in harmony with other laws and regulations of Korea and other major developed countries. Two-step examination for pharmacist license appears worthwhile to implement for balancing the two key functions of the pharmacist being drug-makers and drug-users.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.1
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• pp.182-192
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• 2022

Motorcycle accidents are increasing at an average annual rate of 10.01%, and fatalities are also increasing by 2.64%. Enforcement cameras are installed to enforce safe driving of more-than or equal-to four-wheeled vehicles on the road. Even though the main purpose of this enforcement camera is to disencourage the speed violation of all types of vehicle, one cannot expect complete enforcement by these cameras. In particular, enforcement of the motorcycle should rely on on-site activities through the input of on-site personnel. Recently, to discourage the illegal acts of motorcycling, the National Police Agency introduced the 'National Police Agency SMART National Report'. However, it is necessary to prepare an appropriate practical plan to maximize the effect of enforcement requiring continuous manpower management. This study proposed four types of rider certification IDs for delivery motorcycles. These IDs are institutional devices to manage delivery motorcycle riders. In addition, a experiment on enforcement was conducted using those license ID systems for delivery motorcycles. This experiment confirmed through the image-processing program (D-MESO) if one of the systems was possible to implement for enforcement on the delivery motorcycle rider's license.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.4
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• pp.127-136
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• 2023

Many research results on the traffic enforcement of illegal driving of twowheeled motor vehicles using license plate recognition are introduced. Deep learning convolutional neural networks can be used for character and word recognition of license plates because of better generalization capability compared to traditional Backpropagation neural networks. In the plates of twowheeled motor vehicles, the interdependent government and city words are included. If we implement the mutually independent word recognizers using error correction rules for two word recognition results, efficient license plate recognition results can be derived. The CPU based convolutional neural network without library under real time processing has an advantage of low cost real application compared to GPU based convolutional neural network with library. In this paper twowheeled motor vehicle license plate recognition algorithm is introduced using CPU based deep-learning convolutional neural network. The experimental results show that the proposed plate recognizer has 96.2% success rate for outdoor twowheeled motor vehicle images in real time.

• 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 KIPS Transactions:PartC
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• v.11C no.6 s.95
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• pp.739-746
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• 2004

License mechanisms are the key elements in almost all DRM(digital rights management) systems. The license mechanisms are designed for the clear identification and enforcement of contents, principals, and usage rules in DRM systems. But current license mechanisms are lacking in the flexibility for the secure and efficient sharing of the contents among the members of a group such as a family or a part of an enterprise. This paper suggests a new license mechanism for efficient and secure sharing of contents in DRM systems among the members of a group. We named it member/group license mechanism. The mechanism extends the current license mechanisms by introducing new concepts such as group licenses, member licenses, and derivation relationships between licenses.

• Smart Media Journal
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• v.9 no.4
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• pp.134-143
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• 2020

Vehicle License Plate Recognition is one of the approaches for transportation and traffic safety networks, such as traffic control, speed limit enforcement and runaway vehicle tracking. Although it has been studied for decades, it is attracting more and more attention due to the recent development of deep learning and improved performance. Also, it is largely divided into license plate detection and recognition. In this study, experiments were conducted to improve license plate detection performance by utilizing various object detection methods and WPOD-Net(Warped Planar Object Detection Network) model. The accuracy was improved by selecting the method of detecting the vehicle(s) and then detecting the license plate(s) instead of the conventional method of detecting the license plate using the object detection model. In particular, the final performance was improved through the process of removing noise existing in the image by using the Fast-SRGAN model, one of the Super-Resolution methods. As a result, this experiment showed the performance has improved an average of 4.34% from 92.38% to 96.72% compared to previous studies.

• Journal of Advanced Marine Engineering and Technology
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• v.38 no.4
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• pp.486-494
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• 2014

IMO adopted comprehensive revisions to the International Convention and Code on Standards of Training, Certification and Watchkeeping (STCW) at diplomatic conference in Manila, Philippine in June 2010. In Korea, the legal amendment of Korean Marine Officers Act has been proposed to apply revised STCW convention to The Korean Law. The Korean Marine Officers Enforcement Ordinance Act currently working on follow-up and this legislation was passed in Legislation and Judiciary Committee. This thesis would like to look into the current status of how to apply the Electro-Technical Officers standard and license system from the Korean Marine Officers Act to be revised. Also, This study aims to effectively improve for Korean Marine Officers Enforcement Ordinance of Electro-Technical Officers system and to provide the policy proposal.

• The Journal of the Korea Contents Association
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• v.11 no.3
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• pp.1-8
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• 2011

Automatic vehicle license plate recognition technology is widely used in gate control and parking control of vehicles, and police enforcement of illegal vehicles. However inherent geometric information of the license plate can be transformed in the vehicle images due to the slant and the sunlight or lighting environment. In this paper, a distortion invariant vehicle license plate extraction and recognition algorithm is proposed. First, a binary image reserving clean character strokes can be achieved by using a DoG filter. A plate area can be extracted by using the location of consecutive digit numbers that reserves distortion invariant characteristic. License plate is recognized by using neural networks after geometric distortion correction and image enhancement. The simulation results of the proposed algorithm show that the accuracy is 98.4% and the average speed is 0.05 seconds in the recognition of 6,200 vehicle images that are obtained by using commercial LPR system.

• ETRI Journal
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• v.25 no.6
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• pp.423-436
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• 2003

This paper describes our design of a contents distribution framework that supports transparent distribution of digital contents on the Internet as well as copyright protection of participants in the contents distribution value chain. Copyright protection must ensure that participants in the distribution channel get the royalties due to them and that purchasers use the contents according to usage rules. It must also prevent illegal draining of digital contents. To design a contents distribution framework satisfying the above requirements, we first present four digital contents distribution models. On the basis of the suggested distribution models, we designed a contract system for distribution of royalties among participants in the contents distribution channel, a license mechanism for enforcement of contents usage to purchasers, and both a packaging mechanism and a secure client system for prevention of illegal draining of digital contents.

• Proceedings of the KOR-KST Conference
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• 1998.10b
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• pp.150-150
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• 1998

본 연구는 최근에 대두되는 첨단 교통체계(Intelligent Transportation Systems : ITS)중 첨단교통 관리체계(Advanced Traffic Management Systems : ATMS)에서 자동단속체계(Automatic Traffic Enforcement Systems : ATES)에 사용되는 자동차량번호판인식시스템의 핵심기술인 자동차량 번호판 추출에 관한 연구이다. 일반적으로 번호판익식시스템(License Plate Recogition System : LPRS)가 번호판을 인식하는데 있어서 번호판 추출과 문자인식, 크게 2개의 Process로 구분되어 수행된다. 본 연구에서는 도로상에 설치된 영상 카메라에서 얻은 차량의 영상을 바탕으로 차량의 번호판을 추출하는 새로운 영상처리기법을 제시하고 있다. 본 연구에서 제시한 영상처리기법은 메쉬와핑으로 차량번호판영역의 특징을 이용하여 추출해내는 방법이다. 메쉬란 직교하는 선들로 이루어진 그물 모양의 제어선을 말하는데 이 제어선은 가로와 세로로 한번씩 이미지를 왜곡하여 최종 이미지를 만들어낸다. 이 메쉬와핑기법은 정교하면서도 빠른 속도로 이미지를 처리할 수 있기 때문에 실시간 처리하는데 사용할 수 있다.