• Proceedings of the KIEE Conference
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• 2006.07d
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• pp.2136-2137
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• 2006

RFID(Radio Frequency IDentification)는 전파신호를 이용하여 사물의 정보를 주고받을 수 있는 기술로서, 기존 바코드의 느린 인식속도, 인식률, 저장능력의 한계를 극복하여 사물의 정보화를 촉진함으로서 물류 유통분야에 혁신적인 변화를 가져올 기술로 주목받고 있으며, 유비쿼터스 환경에서 핵심기술로 활용될 것이다.[1] 2004년부터 파급효과가 큰 국방, 조달, 환경 등 12개 분야에서 시범사업이 추진되고 있으며, 최근 한국전산원을 중심으로 USN(Ubiquitous Sensor Network) 응용 서비스 모델을 발굴하기 위하여 총 8개 과제를 추진하는 등 차세대 국가 기간 기술의 요소 기술로서 공급기반을 확충하고 수요활성화 기반을 구축함으로서 세계적 수준의 RFID/USN 인프라를 조기에 구축하기 위한 노력을 경주하고 있다.[2] 본 연구에서는 전력설비관리를 대상으로 RFID/USN의 적용가능 대상을 분석하고, 테스트베드를 구축하여 RFID/USN의 적용 가능성을 판단하고자 한다.

• Journal of Internet Computing and Services
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• v.2 no.1
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• pp.77-85
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• 2001

CORBA is a middleware which enables distributed objects to cooperate regardless of specific platforms and techniques. But the ordinary CORBA communication model does not support multi-cast, and needs delay time, because it synchronously connects the distributed objects between client and server. To solve these problems, OMG suggests CORBA Event Service which can provide multi-cast among application objects. This paper presents a new technique for improving reliability, and supporting two-way communication by laying two interface objects on each consumers and suppliers that are registered in event channel. Also, to integrate objects efficiently, we, group distributed event channels and management it as view, A coordinator selected from channel group controls group and view.

• Journal of Digital Convergence
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• v.8 no.4
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• pp.73-82
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• 2010

Auto-industry is very difficult to standardize item code generation rule, because it has more than 20,000 parts in this industry. As finished good companies have already used the ERP system such as SAP, they have a good Master Data Management(MDM) system. However, since many supplier companies have poor MDM system, they have a lot of barriers on system implementation like ERP, MES. PDM systems. This study surveys various benchmarking sites and investigates the standardization of item code of the auto-parts manufacturing companies. Finally, this study proposes the implementation guide (IMG) of auto-industry MDM standardization.

• Journal of Intelligence and Information Systems
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• v.6 no.2
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• pp.99-110
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• 2000

오늘날의 기업은 상품을 판매하는 것 뿐만 아니라 기업의 신용과 이미지를 위해 그 상품에 대한 사후처리(After Service) 업무에 많은 투자를 하고 있다. 이러한 양질의 사후서비스를 고객에게 공급하기 위해서는 많은 인력을 합리적으로 관리해야 하며 요청되는 고장수리 서비스 업무의 신속한 해결을 위해 업무를 인력에게 합리적으로 배정을 해야 한다. 그러므로, 회사의 비용을 최소화하면서 정해진 시간에 요청된 작업을 처리하기 위해서는 인력들에게 작업을 배정하고 스케줄링하는 문제가 발생된다. 본 논문에서는 이러한 문제를 해결하기 위해서 화학계기의 A/S작업을 인력에게 합리적으로 배정 하는 스케줄링 시스템에 관한 연구이다. 먼저 스케줄링 모델을 HP사의 화학분석 및 시스템을 판매, 유지보수 해주는 Y사의 작업 스케줄을 분석하여 필요한 도메인과 고객서비스전략과 인력관리전략에서 제약조건을 추출하였고 여기에 스케줄링 문제를 해결하기 위한 방법으로 제약만족문제(CSP) 해결기법인 도메인 여과기법을 적용하였다. 도메인 여과기법은 제약조건에 의해 변수가 갖는 도메인의 불필요한 부분을 여과하는 것으로 제약조건과 관련되어 있는 변수의 도매인 크기가 축소되는 것이다. 또한, 스케줄링을 하는데에 있어서 비용적인 측면에서의 스케줄링방법과 고객만족도에서의 스케줄링 방법을 비교하여 가장 이상적인 해를 찾는데 트래이드오프(Trade-off)를 이용하여 최적의 해를 구했으며 실험을 통해 인력에게 더욱 효율적으로 작업들을 배정 할 수 있었고 또한, 정해진 시간에 많은 작업을 처리 할 수 있었으며 작업을 처리하는데 있어 소요되는 비용을 감소하는 결과를 얻을 수 있었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.457-460
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• 2004

현재 무한경쟁의 시장환경 속에서 기업자체만으로 어려움을 감내하기란 많은 문제를 갖고있다. 그래서 기업은 물류활동을 전문적으로 담당하는 훌륭한 파트너를 통하여 이 문제를 해결하고 있으며 이전의 수직적 업무관행을 넘어선 동반자적인 파트너로써의 제 3 자 물류(TPL : Third Part Logistics : 이후 TPL로 표기함)를 활용하고 있다. 파트너관계는 이전에도 중요한 기업 전략이었으나 인터넷과 수많은 정보기술의 보급을 통한 전자상거래의 도래로 기업은 신속하고 정확하게 시장과 고객의 요구와 니즈를 만족시킬 수 있는 선도기술개발과 서비스제공능력이 기업의 핵심역량으로써 중요하게 되었다. 그래서 이러한 역량과 유연성을 갖춘 파트너와의 전략적관계형성과 관리를 할 수 있는 체계적인 파트너관계업무프로세스가 필요하게 되었다. 따라서 본 논문에서는 TPL 기업에서 유연한 공급사슬파트너관계구축과 관리를 가능하게 하고 고객요구를 대처할 수 있을 뿐만 아니라 미래의 고객요구를 예측가능 할 수 있는 방안으로 e-PRM 모델을 제시하고자 한다.

• Korean Journal of Construction Engineering and Management
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• v.7 no.6
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• pp.175-184
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• 2006

This study focused on developing Life Cycle Cost(LCC) analysis model for selecting sludge collectors in wastewater treatment system and applying the model to a case study. Cost items are examined through literature review and historical data of a facility. Analysis period, discount rate, energy cost escalation ratio are assumed to reasonable level. Monetary evaluation is performed using historical data and estimations from vendors. Sensitive analysis is executed using Monte Carlo Simulation for assumed factors. Interviews with operators, vendors, constructors, managers are conducted to define factors which indicates ease of maintenance, ease of delivery, technical performance, efficiency, environmental friendship. Factors are representing technical and social factors. Results from LCC analysis and qualitative analysis are evaluate together with Weighted Matrix Evaluation Methods for optimum alternative of sludge collectors.

• Journal of Korean Society of Environmental Engineers
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• v.39 no.12
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• pp.723-732
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• 2017

As the development of ICT technology, in order to solve the problem of scattered water information's availability, WINS(Water management Information Networking System) by the Ministry of Land, Infrastructure and Transport was established and has been operated since 2004. However, there has been a disadvantage of providing specialized and limited information to the water resources sector mainly and a lack of active sharing of information because of no compulsory provision of information sharing between participants. In order to solve these problems, this paper carried out system development study, to do this, the status of domestic water information was surveyed and domestic and overseas related systems were compared and analyzed. The latest ICT technology was used to realize the contents as screen, and the user interface definition was created to present a role model of integrated water management through maximizing visualization by combining GIS and realtime data and providing space-time integrated information. These prior studies reached to actual construction of the ICT-based integrated management system for water information by K-water. This system is in service to the public installed in the water information portal, "MyWater".

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.10a
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• pp.279-282
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• 2015

Fisheries development of the basic law pursuant to article 15 (marine safety management, etc.) one of maritime safety and maritime traffic facilities nationwide network of DGPS in accordance with the building maximize infrastructure utilization and country. Source technology has been improving steadily raised for the benefit daegukmin. In particular, look at the type of product for the marine supply medium-wave receiver Performance products that satisfy most of the IMO Advisory. The antenna and receiver are separate structural supply for some integrated model with a very high Rather it is used as a portable receivers for marine positioning cheap integrated model development is needed. Correction of satellite navigation receivers for the current Marine GPS module, medium-wave modules can be developed one low cost Integrated in independent operating environments do not support the model development done look at what the problem is 285kHz ~ 315kHz in DGPS Beacon receiver structure using a medium wave or Beacon The medium-wave antenna and a GPS receiver signal to noise ratio was studied GPS signal attenuation on the DGPS performance looked at each GPS manufacturer medium-wave signal-to-noise ratio and normalized impact by GPS manufacturers noise power ratio per bandwidth for medium-wave GPS signals affect it was implemented to improve performance.

• Journal of Digital Convergence
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• v.15 no.9
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• pp.167-178
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• 2017

Big Data is a key asset for the company and a key factor in boosting its competitiveness in the logistics sector. However, there is still a lack of research on how to collect, analyze and utilize Big Data in logistics. In this context, this study has developed a value model applicable to logistics companies based on the results of analysis and application of Big Data in the logistics of previous studies and DHL. The purpose of this study is to improve the operational efficiency and customer experience maximization level of logistics companies through utilization of big data analysis in logistics, to improve competitiveness of big data utilization and to develop new business opportunities. This study has a significance to newly create a value model for utilization of big data analysis in logistics sector and can provide implications for other industries as well as logistics sector in the future.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.5
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• pp.153-160
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• 2020

Energy Consumption Predictions for Industries has a prominent role to play in the energy management and control system as dynamic and seasonal changes are occurring in energy demand and supply. This paper introduces and explores the steel industry's predictive models of energy consumption. The data used includes lagging and leading reactive power lagging and leading current variable, emission of carbon dioxide (tCO2) and load type. Four statistical models are trained and tested in the test set: (a) Linear Regression (LR), (b) Radial Kernel Support Vector Machine (SVM RBF), (c) Gradient Boosting Machine (GBM), and (d) Random Forest (RF). Root Mean Squared Error (RMSE), Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE) are used for calculating regression model predictive performance. When using all the predictors, the best model RF can provide RMSE value 7.33 in the test set.