• Title/Summary/Keyword: License system

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A Comparative Analysis of Practical Test Methods for National Technical Qualification and Course-based National Technical Qualification License for Esthetician (국가 기술자격 미용사(피부) 검정형과 과정평가형 실기시험 평가방법의 비교 분석)

  • Kim, Na-Young;Kim, Jung-Won
    • Journal of Convergence for Information Technology
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    • v.10 no.7
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    • pp.240-248
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    • 2020
  • This study compares and analyzes the tasks and evaluation methods of national technically qualified Skin Esthetic through systematic literature review of prior studies on qualification tests for Skin Esthetic qualification and process evaluation types that have been reorganized based on NCS. The national technical qualification is based on the ability to work through memorization-oriented theoretical tests and simple repetition of functions, and the Qualified qualification is relatively short in the period of test execution, and the reliability of its internal evaluation at the enforcement agency continues to be reduced. In the future, national technical qualification require innovation in the qualification system to reflect skilled demand at industrial sites, and course-based qualification for require supplementation and improvement of education and training courses so that they can learn skilled skills at the site.

A Study on Reinforcement and Development of Course Programs in Department of Food Science and Nutrition Related Studies 1st Report -Based on Survey of Dietitians and Professors - (영양사 배출 관련학과의 전공과목 강화 및 개발에 관한 연구 제1보 -영양사 및 대학 교수의 전공과목 강화에 대한 의견 조사)

  • 박명희;최봉순
    • Journal of the East Asian Society of Dietary Life
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    • v.6 no.1
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    • pp.1-16
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    • 1996
  • This study was conducted to obtain basic data for reinforcing and developing course programs in department of Food Science and Nutrition. For this purpose, data was collected from dietitians and professors who work at 2-and 4-year colleges. Results are as follows. 1. Many respondents (95.7%) support that It Is desirable to separate dietitian license into two types. Reasons are (1) specific knowledge required by job type is different(29.5%), and (2) to increse job performance (29.3%). 2. Most respondents(95.4%) agree that course programs are needed to be revised. Because (1) current programs are inadequate to provide specific knowledge required at field work (67.8%), and (2) the programs are not helpful to increase job performance of dietitians (54.1%). 3. Respondents of dietitians want to extend applied science area(37.7%) and reinforce lab training (63.1%), as principles of program revision. 4. Course titles which need to be reinforced are Internship(95.8%) and Lap training(67.8%). 5. Specialized areas which need to be reinforced are Food Service Managemant and Practical Training(90.9%), Nutrition Education and Guide(88.9%), Public Health Nutrition(79.0%), Basic Area for Clinics(85.6%), Basic area for Education and Counselling(87.1%), and Cooking Science(77.5%) 6. Courses which are needed to be reinforced by respondents(over 75% agree) are Computer Management for Food Service, Counselling, Nutrition and Disease, Diet Therapy, Quantity Cooking, Internship, Public Health (Health Care), Community Nutrition(Environment and Nutrition), Clinical Nutrition, Psychology, and Communication.

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Recognition System of Car License Plate using Fuzzy Neural Networks (퍼지 신경망을 이용한 자동차 번호판 인식 시스템)

  • Kim, Kwang-Baek;Cho, Jae-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.5
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    • pp.313-319
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    • 2007
  • In this paper, we propose a novel method to extract an area of car licence plate and codes of vehicle number from a photographed car image using features on vertical edges and a new Fuzzy neural network algorithm to recognize extracted codes. Prewitt mask is used in searching for vertical edges for detection of an area of vehicle number plate and feature information of vehicle number palate is used to eliminate image noises and extract the plate area and individual codes of vehicle number. Finally, for recognition of extracted codes, we use the proposed Fuzzy neural network algorithm, in which FCM is used as the learning structure between input and middle layers and Max_Min neural network is used as the learning structure within inhibition and output layers. Through a variety of experiments using real 150 images of vehicle, we showed that the proposed method is more efficient than others.

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Watermarking of Gray Logo & Color Image based on Human Visual System (인간시각 시스템 기반의 그레이로고 & 컬러 이미지의 워터마킹)

  • NOH Jin Soo;SHIN Kwang Gyu;RHEE Kang Hyeon
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.42 no.3 s.303
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    • pp.73-82
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    • 2005
  • Recently, The wide range of the Internet applications and the related technology developments enabled the ease use of the digital multimedia contents (fixed images, movies, digital audios). However, due to the replay ability which the contents may be easily duplicated and not only the duplicates are capable of providing the same original quality. There are mainly the encipher techniques and the watermarking techniques which are studied and used as solutions for the above problem in order to protect the license holders' rights. To the protection of the IP(Intellectual Property) rights of the owner, digital watermarking is the technique that authenticates the legal copyrighter. This paper proposed the watermarking algorithms to watermark the 256 gray logo image and the color image by applying the wavelet transformation to the color stand-still images. The proposed algorithms conducted the watermark insertion at the LH frequency region among the wavelet transformation regions (LL, LH, HL, HH). The interleaving algorithms which applied in data communication was applied to the watermark. the amount of watermark increased which consequently caused the PSNR to decrease but this might provide the perseverance against the external attacks such as extraction, filtering, and crop.

An efficient channel searching method based on channel list for independent type cognitive radio systems (독립형 무선 인지 시스템에서 채널 목록 기반의 효과적 채널 검색)

  • Lee, Young-Doo;Koo, In-Soo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.7
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    • pp.1422-1428
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    • 2009
  • In this paper, we consider an independent type cognitive radio system where secondary users can utilize empty channels that are not currently used by primary users having the license to these channels. In the previous works, secondary users search channels sequently or randomly to detect activities of primary user on channels. These channel searching methods however are not suitable to the characteristics of the wireless environment. Therefore, we propose a channel searching method based on the channel list for the purpose of reducing the channel searching time and improving the throughput of secondary users. In the proposed method, we firstly determine weighting value of each channel based on the history of channel activities of primary users and add the weighing value to current channel state buffer. And then, we search an empty channel from channel with smallest value to one with the biggest value. Finally, we compare the performances of the proposed method with those of the sequential channel searching and the random channel searching methods in terms of average channel searching time and average number of transmissions of secondary user.

Recognition of Car License Plates using Intensity Variation and Color Information (명암변화와 칼라정보를 이용한 차량 번호판 인식)

  • Kim, Pyeoung-Kee
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.12
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    • pp.3683-3693
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    • 1999
  • Most recognition methods of car licence plate have difficulties concerning plate recognition rates and system stability in that restricted car images are used and good image capture environment is required. To overcome these difficulties, I proposed a new recognition method of car licence plates, in which both intensity variation and color information are used. For a captured car image, multiple candidate plate-bands are extracted based on the number of intensity variation. To have an equal performance on abnormally dark and bright Images. plate lightness is calculated and adjusted based on the brightness of plate background. Candidate plate regions are extracted using contour following on plate color pixels in oath plate band. A candidate region is decided as a real plate region after extracting character regions and then recognizing them. I recognize characters using template matching since total number of possible characters is small and they art machine printed. To show the efficiency of the proposed method, I tested it on 200 car images and found that the method shows good performance.

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File Database and Search Algorithm for Efficient Search of Car Number (차량번호의 효율적 탐색을 위한 파일 데이터베이스와 탐색 알고리즘)

  • Sim, Chul Jun;Yoo, Sang Hyun;Kim, Won Il
    • KIPS Transactions on Software and Data Engineering
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    • v.8 no.10
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    • pp.391-396
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    • 2019
  • Researches for image processing have been actively progress due to the development of various hardware. For example, in order to prevent various types of crime by a vehicle, there is a method of detecting the location of a criminal vehicle using the existing CCTV in real time. However, certain types of systems and high-performance system requirements make it difficult to apply to existing equipment. In this paper proposes a search algorithm that construct a file database of Korean standard license plate information so that specific vehicles can be quickly searched using existing equipment. In order to evaluate the performance of the file database and the search algorithm proposed in this paper, we set up the search targets at various locations and the results showed that the search algorithm could always check the information by searching the vehicle within a certain time.

LoRa LPWAN Sensor Network for Real-Time Monitoring and It's Control Method (실시간 모니터링을 위한 LoRa LPWAN 기반의 센서네트워크 시스템과 그 제어방법)

  • Kim, Jong-Hoon;Park, Won-Joo;Park, Jin-Oh;Park, Sang-Hyun
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.31 no.6
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    • pp.359-366
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    • 2018
  • Social infrastructure facilities that have been under construction since the country's high-growth period are undergoing rapid aging, and safety assessments of large structures such as bridge tunnels, which can be directly linked to large-scale casualties in the event of an accident, are necessary. Wireless smart sensor networks that improve SHM(Structural Health Monitoring) based on existing wire sensors are difficult to construct economical and efficient system due to short signal reach. The LPWAN, Low Power Wide Area Network, is becoming popular with the Internet of Things and it is possible to construct economical and efficient SHM by applying it to structural health monitoring. This study examines the applicability of LoRa LPWAN to structural health monitoring and proposes a channel usage pre-planning based LoRa network operation method that can efficiently utilize bandwidth while resolving conflicts between channels caused by using license - exempt communication band.

A Comparative Study on the Structure and Implementation of Unity and Unreal Engine 4 (유니티와 언리얼 엔진 4의 구조와 구현 방식 비교 연구)

  • Lee, HanSeong;Ryoo, SeungTaek;Seo, SangHyun
    • Journal of the Korea Computer Graphics Society
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    • v.25 no.4
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    • pp.17-24
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    • 2019
  • In the game industry, traditional game development way was to develop a game engine in advance before developing game content. This has the disadvantage is the high cost of developing the game engine. Further, there is a problem that the game content are not developed unless the game engine is prepared in advance. In order to solve these problems, the game industry has recently selected a method of purchasing a license for a commercial engine, which is a method for improving the game content development productivity, rather than concentrating on game engine development. In this paper, we describe a game object and the structure in Unity and Unreal Engine 4. We compared the editor interface and the supported development languages in the two game engines. We also implemented a First-Person Shooter game to compare how the player's configuration and event handling differ from the two game engines.

Monitoring of the mortalities in oliver flounder (Paralichthys olivaceus) farms of Korea (한국 양식 넙치 폐사피해 모니터링)

  • Shim, Jae-Dong;Hwang, Seong-Don;Jang, Soo-Young;Kim, Tae-Wan;Jeong, Ji-Min
    • Journal of fish pathology
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    • v.32 no.1
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    • pp.29-35
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    • 2019
  • A monitoring was performed to survey the mortalities that had occurred in the aquaculture farms of olive flounder (Paralichthys olivaceus) in South Korea from 2015 to 2017. The indirect inquiry for entire farms and the sample survey for selected farms were carried out. The aquatic organism disease inspectors, who have a national license for the diagnosis and prevention of aquatic organism diseases and a have close relationship with the farms, investigated the rates and causes of mortalities according to the standard manual. The mortality rate by sample survey of farms in 2015, 2016, and 2017 were 24.78% (Chunnam: 17.86%, Jeju: 28.69), 30.19% (Chunnam: 24.45%, Jeju: 32.65), and 21.59% (Chunnam: 10.57%, Jeju: 26.00%), respectively. The major cause of mortality was scuticociliatosis, and the mortality caused by viral hemorrhagic septicemia and emaciation disease (Jeju) were also high. Our results can contribute to effective establishment prevention of epidemics system and acquired status as a disease-cleansing country.