• Journal of the military operations research society of Korea
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• v.32 no.2
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• pp.78-91
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• 2006

Recently mass customization has become a new paradigm in the global market to satisfy both the diversified demands of customers but also the efficiency of the mass production system. In this paper, mass customization is embodied by a new product development method with which various product families are produced from standard "product platform" developed from historical data. The product platform, the key concept of this proposed method, is significantly efficient as a solution to the customer demand of high variety and small quantity products. The proposed method is applied to build the platform family of naval ships, utilizing the concept of "Group Technology". In addition, cost effectiveness of the proposed method is analyzed and the applicable range of requirement conditions are presented. In conclusion, some remarkable effects such as reduction in production cost and development time are expected by employing this method to the procurement process of the naval ships.

• The KIPS Transactions:PartC
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• v.15C no.6
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• pp.507-512
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• 2008

At a recent, enterprises based on online-service are established because of rapid growth of information network. These enterprises collect personal information and do customer management. If customers use a paid service, company send billing information to customer and customer pay it. Such circulation and management of information is big issue but most companies don't care of information security. Actually, personal information that was managed by largest internal open-market was exposed. For safe customer information management, this paper proposes the method that decrease load of RSA cryptography algorithm that is commonly used for preventing from illegal attack or hacking. The method for decreasing load was designed by Binary NAF Method and it can operates modular Exponentiation rapidly. We implemented modular Exponentiation algorithm using existing Binary Method and Windows Method and compared and evaluated it.

• Journal of the Korea Society of Computer and Information
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• v.11 no.2 s.40
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• pp.295-301
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• 2006

An operational strategy for inventory control on finished goods in the distribution system has been given attention to many enterprises and many studies regarding this field have been done and is also on-going currently. It handling large scale of smallness type are so the requisition of customer which is various that over it continues more full scale merit. therefore, It is a tendency that many of enterprise is handling small scale of smallness type for environment change confrontation. but It is not easy for the enterprise to In customer demand diversification suiting because too need many cost. In addition, at enterprise charge extra weight because remainder inventory is causes of defective stock for a inefficient problem solution. this paper is rationalization of stock cost decrease for comparison evaluation of small scale quantify handling of singleness type and small scale quantity handling of largeness type.

• Journal of the Korea Society of Computer and Information
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• v.17 no.2
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• pp.197-206
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• 2012

A exisiting recommedation system using association rules has the problem, such as delay of processing speed from a cause of frequent scanning a large data, scalability and accuracy as well. In this paper, using a Implicit method which is not used user's profile for rating, we propose the personalized recommendation system which is a new method using the FP-tree mining based on RFM. It is necessary for us to keep the analysis of RFM method and FP-tree mining to be able to reflect attributes of customers and items based on the whole customers' data and purchased data in order to find the items with high purchasability. The proposed makes frequent items and creates association rule by using the FP-tree mining based on RFM without occurrence of candidate set. We can recommend the items with efficiency, are used to generate the recommendable item according to the basic threshold for association rules with support, confidence and lift. To estimate the performance, the proposed system is compared with existing system. As a result, it can be improved and evaluated according to the criteria of logicality through the experiment with dataset, collected in a cosmetic internet shopping mall.

• Journal of the Korean Society for information Management
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• v.23 no.2
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• pp.167-183
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• 2006

This paper describes a metadata extraction technique based on natural language processing (NLP) which extracts personalized information from email communications between financial analysts and their clients. Personalized means connecting users with content in a personally meaningful way to create, grow, and retain online relationships. Personalization often results in the creation of user profiles that store individuals' preferences regarding goods or services offered by various e-commerce merchants. We developed an automatic metadata extraction system designed to process textual data such as emails, discussion group postings, or chat group transcriptions. The focus of this paper is the recognition of emotional contents such as mood and urgency, which are embedded in the business communications, as metadata.

• Information and Communications Magazine
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• v.26 no.1
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• pp.31-37
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• 2009

우리나라는 세계 최고 수준의 IT 인프라를 기반으로 네트워크 및 서비스 융합, RFID 등 u-IT 서비스 확산 등을 통해 유비쿼터스 사회로 빠르게 진입하고 있다. 향후 디지털 융합이 가속화됨에 따라 시간과 공간의 제약 없이 원하는 정보의 획득 활용이 증가하고, u-Health, u-learning 등 IT가 타산업과 융합되면서 높은 부가가치를 창출할 것으로 전망 된다. 그러나 정보화의 급속한 진전에 따른 사회 전반의 편의성과 효율성이 향상하였으나, 해킹 바이러스, 개인정보 유출사고, 스팸 등 역기능으로 인한 피해도 확산되고 있다. 최근에는 네트워크 방어체계를 무력화시키는 지능화된 해킹, 대량의 고객정보 유출, 사회공학 기법을 활용한 피싱 등 이용자의 자산과 프라이버시를 침해하는 사이버범죄 증가 등으로 이용자자산과 권리 보호관점에서의 정보보호의 중요성이 부각되고 있다. 향후 시간과 장소에 상관없이 지식정보를 활용하여 편리하고 쾌적한 생활을 누리게 하는 지식정보사회는 예측 불가능한 위험이 곳곳에 산재한 정보위험사회로의 진입을 의미 할 수도 있다. 그러므로 미래사회에서 예상되는 위협을 예측하여 효과적으로 사전에 예방할 수 있는 체계를 마련하는 것은 안전하고 신뢰할 수 있는 지식정보사회를 향유하기 위한 전제조건으로 작용한다. 이에 본고에서는 미래 지식정보사회에 대비한 정보보호 전략으로 안전한 u-사회 청사진 설계 및 환경조성 선도와 국제화, 사이버위협 예방 및 대응체계의 입체적 조화와 융합, 정보보호 기술 제품 산업간 선순환 촉진과 성장 등 3대 전략을 설정하고 실행방안을 제시한다.

• The Journal of Korean Institute for Practical Engineering Education
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• v.3 no.2
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• pp.11-17
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• 2011

As a rapid rate of social change and competitive, paradigm of industry environment manufacturing products and services is shifted. Engineers design, develop, manufacture the products and services are strongly asked competency of different new creative practices. This means while industrial structure has been shifted from mass production to various allied production and social engineering based production, qualifications of engineers are required to individual creative competency as alternatives. In order to improve the competency, engineer become the creative people have ability to develop the professional knowledge competency and expand the competency to convergence the new product and services with sensing the life and social structure shift, human engineering, psychology, and emotion. For the competency, we develop the training program "improving convergence, creativity through Art." we intend that the program should be composed of creative engineering mechanism combined creative arts mechanism. It has been operated to the engineers for 17 weeks. we will discuss the program result and research direction and utilization in depth.

• Proceedings of the Korean Vacuum Society Conference
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• 2010.08a
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• pp.13-13
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• 2010

개요- 반도체 시장의 확대 및 소자의 고집적화와 장비의 초정밀화 등 고정도 생산성을 요구하는 현대 진공산업 시장에서는 정밀한 제품을 대량으로 생산할 수 있도록 지원할 수 있는 대용량 장비의 수요가 급증하고 있다. 서론- 하루가 다르게 발전하는 기술 경쟁 사회에서는 보다 성능이 좋은 제품을 다른 국가 또는 다른 업체와 차별화된 기술적 우위를 선점해야 한다. 본문-이에따라, 고신뢰도, 고생산성이 요구되는 진공산업 시장에 발맞추기 위한 일환으로 크라이오 펌프의 재생시간을 단축시켜 생산성 향상을 높이고, 기존의 제품에서 소비자가 느꼈던 진동을 최소로 줄일 수 있도록 저진동 제품의 설계를 통한 고객 만족의 제품을 개발함과 동시에, 맥동관 냉동기의 기술상업화를 꾀한 극저온기술 영역의 발전을 함께 도모하고자 한다. 현재까지는 국내의 일부 정부출연 연구소와 학교, 일부 특수산업 분야에서만 크라이오 펌프를 사용하고 있으나, 상업적인 설계 및 생산은 완전히 전무한 상태이다. 이는 진공시장의 잠재적인 성장을 고려할 때 국산화가 시급한 상황이다. 이러한, 상황을 고려하여 현재 기계연구원과 우성진공, 국민대학교가 맥동관 냉동기를 접목시킨 급속재생형 저진동 크라이오 펌프를 지난 2008년부터 산학연 협동으로 개발 진행 중에 있다. 크라이오 펌프의 핵심 기술은 냉동기의 효율에 있다고 볼 수 있으며, 이러한 냉동기의 효과를 높이기 위하여, 제작 공정에 진공 브레이징을 사용하여, 열교환기와 교환기 내의 충진재들과의 정확한 간극을 유지하면서 접합을 할 수 있는 환경요건을 지속적인 실험을 통해 지식을 습득하고 있다. 진공 브레이징은 외관을 아름답고 정교하게 접합할 수 있으므로, 추후 상품으로의 가치를 높일 수 있으며, 서로 다른 이종금속 간의 접합이 가능하여 열교환기의 무산소동과 스테인레스 튜브와의 접합을 가능하게 할 수 있었다. 진공브레이징에 쓰이는 모재는 여러가지가 있으며, 접합의 환경 또한 일반 용접보다 다양하므로 여러번의 실험을 통한다면, 성능은 우수하면서 외관으로 손색이 없는 개발품이 나올수 있겠다는 의견이 모아지고 있는 중이다. 본론- 아직까지는 미국의 CTI사나 일본의 ULVAC 등의 크라이오 펌프의 선진 기업에 비해 기술력이 많이 부족하기는 하지만, 아직 많은 부분이 미개발된 분야이고, 향후 후발국과의 차별을 두어 선진기술을 확보하기 위해서는 기존의 방식을 단순히 따라하는 것이 아닌 남들과 다른 원천기술의 확보가 더 필요하며, 이를 위해 부단한 노력과 시행착오를 거쳐 맥동관 냉동기형 크라이오 펌프라는 기술을 확보할 예정이다.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.289-295
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• 2016

Subway is a future-oriented means of transportation that can be safely and quickly mass transport many passengers than buses and taxis. Congestion growth due to the increase of the metro users is one of the factors that hinder citizens' rights to comfortably use the subway. Accordingly, congestion prediction in the subway is one of the ways to maximize the use of passenger convenience and comfort. In this paper, we monitor the level of congestion in real time via the existing congestion on the metro using multiple regression analysis and big data processing, as well as their departure station and arrival station information More information about the transfer stations offer a personalized congestion prediction system. The accuracy of the predicted congestion shows about 81% accuracy, which is compared to the real congestion. In this paper, the proposed prediction and recommendation application will be a help to prediction of subway congestion and user convenience.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.357-359
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• 2021

Railway system as a mass transportation is under progress to smart railway system beyond high speed and automation era. Communication network technology including 5G-R(5th Generation - Railway) mobile communication technology and information convergence technology of Big Data, Deep Learnig, AI(Artificial Intelliegnce) and Block Chain have to be used for implementation and operation of this smart railway system. In this paper, a communication network structure is suggested for this smart railway system. This suggested smart railway commnuication network structure is composed with layered structure of plane unit for safety operation of high speed railway, railway system management and customer services, and also have some complexed function of each plane. Results of this study can be used for smart railway communication network implementation, operation and managements, development of railway communication standards.