• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.11
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• pp.3892-3912
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• 2021

The recent rapid growth of mobile network traffic places multi-access edge computing in an important position to reduce network load and improve network capacity and service quality. Contrasting with traditional mobile cloud computing, multi-access edge computing includes a base station cooperative cache layer and user cooperative cache layer. Selecting the most appropriate cache content according to actual needs and determining the most appropriate location to optimize the cache performance have emerged as serious issues in multi-access edge computing that must be solved urgently. For this reason, a cache placement algorithm based on comprehensive utility in big data multi-access edge computing (CPBCU) is proposed in this work. Firstly, the cache value generated by cache placement is calculated using the cache capacity, data popularity, and node replacement rate. Secondly, the cache placement problem is then modeled according to the cache value, data object acquisition, and replacement cost. The cache placement model is then transformed into a combinatorial optimization problem and the cache objects are placed on the appropriate data nodes using tabu search algorithm. Finally, to verify the feasibility and effectiveness of the algorithm, a multi-access edge computing experimental environment is built. Experimental results show that CPBCU provides a significant improvement in cache service rate, data response time, and replacement number compared with other cache placement algorithms.

• Proceedings of the KAIS Fall Conference
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• 2010.05a
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• pp.49-52
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• 2010

최근 국내시장에 판매되고 있는 막걸리의 종류는 매우 다양하며, 주류시장에서도 큰 수입원으로 부각되고 있다. 또한 국내뿐 만아니라 해외수출 비중도 높아지고 있으며, 주류관련 기업에서는 고급화 전략으로 마케팅을 하고 있다. 막걸리와 더불어 상품화 비중이 높아지고 있는 기능성 주류는 미용, 건강, 갈증해소 등 다양한 효능을 가지고 있으나, 일반적인 주류의 홍보에 비해 상대적으로 미비한 상태이다. 본 연구의 일부분으로 제작되는 막걸리는 피부미용, 면역력 강화, 뇌기능 개선 등의 효과를 갖는 감태를 주성분으로 하여 제조한 기능성 주류이다. 따라서, 본 연구에서는 감태를 이용한 기능성 막걸리의 제조과정과 막걸리의 특성을 파악한 효과적인 홍보 방안을 위한 콘텐츠 설계 및 개발에 대한 제안한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.5
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• pp.1814-1828
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• 2021

Low-light image enhancement is a key technique to overcome the quality degradation of photos taken under scotopic vision illumination conditions. The degradation includes low brightness, low contrast, and outstanding noise, which would seriously affect the vision of the human eye recognition ability and subsequent image processing. In this paper, we propose an approach based on deep learning and Retinex theory to enhance the low-light image, which includes image decomposition, illumination prediction, image reconstruction, and image optimization. The first three parts can reconstruct the enhanced image that suffers from low-resolution. To reduce the noise of the enhanced image and improve the image quality, a super-resolution algorithm based on the Laplacian pyramid network is introduced to optimize the image. The Laplacian pyramid network can improve the resolution of the enhanced image through multiple feature extraction and deconvolution operations. Furthermore, a combination loss function is explored in the network training stage to improve the efficiency of the algorithm. Extensive experiments and comprehensive evaluations demonstrate the strength of the proposed method, the result is closer to the real-world scene in lightness, color, and details. Besides, experiments also demonstrate that the proposed method with the single low-light image can achieve the same effect as multi-exposure image fusion algorithm and no ghost is introduced.

• Journal of the Korean Society of Industry Convergence
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• v.7 no.2
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• pp.207-213
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• 2004

This paper describes the development of Behind-Tape-Reader (BTR) type DNC system using CYBER 180-830 as a central computer and IBM PC-AT cell control computer and NC lathe with FANUC 5T NC controller. In this system, the connection between central computer and cell control computer is done via RS-232C serial interface board, and that between cell control computer and FANUC 5T controller is done via parallel interface board. The software consists of two module, central computer communication module for NC program downloading and status uploading, NC machine running module for NC operating.

• Journal of the Korea Computer Industry Society
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• v.2 no.11
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• pp.1439-1444
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• 2001

Inspection of program products illegal reproduction is a significant field in deciding illegal recopy of program duplication, reproduction, plagiarization and electronic information by expertized programmer or specialist using computer science knowledge and technical methods. This is important for propelling the S/W industry in the high value creating industry. In particular, social demands are increasing the conflicts of the program products illegal recopy because of knowledge property problems. Therefore, legal and structural methods have been inspection of the program products illegal copy and usage. This article describes the existing problems of the inspecting of the program products illegal recopy and discusses the future directions and developing methods for propelling and setting the knowledge property industry field such as S/W industry.

• Journal of Digital Contents Society
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• v.17 no.1
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• pp.65-70
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• 2016

This paper suggests an environment of a CSCW(Computer Supported Cooperative Works) for industry safety service. A good example of industry safety service is gunpowder. This paper proposed a computer-based integrated multimedia for industry safety service running on shepherd and SIP(Session Initiation Protocol). But, conventional framework has not yet fully progressed a shepherd for computer-based integrated multimedia running on SIP(Session Initiation Protocol). Session management include function of session creation, session end, late comer process, and access control. Therefore, this paper described an environment of integrated multimedia based on a shepherd and SIP environment to maintain good session condition.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.23-30
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• 2021

An Automated Industry and Occupation Coding System assigns statistical classification code to the enormous amount of natural language data collected from people who write about their industry and occupation. Unlike previous studies that applied information retrieval, we propose a system that does not need an index database and gives proper code regardless of the level of classification. Also, we show our model, which utilized KoBERT that achieves high performance in natural language downstream tasks with deep learning, outperforms baseline. Our method achieves 95.65%, 91.51%, and 97.66% in Occupation/Industry Code Classification of Population and Housing Census, and Industry Code Classification of Census on Basic Characteristics of Establishments. Moreover, we also demonstrate future improvements through error analysis in the respect of data and modeling.

• Korean Journal of Construction Engineering and Management
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• v.6 no.1 s.23
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• pp.117-124
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• 2005

The development of computer and information technology in Korean construction industry is accelerating its speed while the education of Universities regarding to those technology is hardly catching up. Students graduated from schools are having difficulties in adapting themselves into the technology and as a result the industry is operating its own educational problem for the newcomers. This research develops the educational program of computer and information technology in school and therefore enhance the adaptability of the students for the industry. The program is open from 2002 up to 2004 liking two courses and including 10 modules and a project. The educational program consists of computer labs and lectures or seminars. The result of the educational program enables students to understand the computer and information technology used in the industry, an to improve the interest and skills of those, and additionally to motivate themselves into participating the continuous research and development of the technology.

• The International Journal of Costume Culture
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• v.4 no.2
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• pp.124-137
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• 2001

The digitalization of the fashion industry refers to 'the reception of the digital environment by the industry.'Re paper presented 3 conceptual categories of 'technological environment','information environment'and 'business environment'concerning the scope of digitalization, including from the introduction and use of new technical media to new ways of thinking following the paradigm changes. And it demonstratively analyzed digitalization factors and digitalization level of fashion businesses related to the factors by 7 fashion categories. The analytic result and its suggestions are as follows. First, the five digitalization factor of the fashion industry are defined : manufacturing Process automation, computer systemization, information networking, e-business, and small batch production. Second the digitalization degree of fashion firms decreases in the order of information networking, small batch Production, manufacturing Process automation, computer systemization, and e-business, with information networking on the top and e-business, recent focal point of interest, at the bottom. Third, as for the digitalization of each clothing category, men's formal dress and unisex display the highest level of the general digitalization.

• Journal of Korea Multimedia Society
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• v.18 no.6
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• pp.772-779
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• 2015

Advancing information technology have rapidly changed our service environment of life, culture, and industry. Computer information communication system is applied in medical, health, distribution, and business transaction. Smart is using new information by combining ability of computer and information. Although agriculture is labor intensive industry that requires a lot of hands, agriculture is becoming knowledge-based industry today. In agriculture field, computer communication system is applied on facilities farming and machinery Agricultural. In this paper, we designed and implemented application that provides personalized agriculture related information at the actual farming field. Also, this provides farmer a system that they can directly auction or sell their produced crops. We designed and implemented a system that parsing information of each seasonal, weather condition, market price, region based, crop, and disease and insects through individual setup on ubiquitous environment using location-based sensor network and processing data.