• Journal of Electrical Engineering and Technology
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• 제8권1호
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• pp.1-10
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• 2013

The power industry is currently facing many challenges, due to the new environment created by the introduction of smart grid technologies. In particular, the large-scale deployment of electric vehicles (EVs) may have a significant impact on demand for electricity and, thereby, influence generation and transmission system planning. However, it is difficult to deal with uncertainties in EV charging loads using deterministic planning methods. This paper presents a two-stage stochastic decomposition method with Latin-hyper rectangle sampling (LHRS) to solve the integrated generation and transmission planning problem incorporating EV deployment. The probabilistic distribution of EV charging loads is estimated by Latin-hyper rectangle sampling (LHRS) to enhance the computational performance of the proposed method. Numerical results are presented to show the effectiveness of the proposed method.

• 산업경영시스템학회지
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• 제18권35호
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• pp.79-88
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• 1995

The Quality Assurance System proposed in this study is based on the functional deployment of quality, which is an integration of the FAST(Functional Analysis System Techique) in VE(Value Engineering) and the Quality Development Method of TQC(Total Quality Control). The proposed Quality Function Deployment is proved to be an efficient tool for the consistent management of quality Assurance in every stages of product life cycle. The purpose of this study is therefore to develop practical and systematic methods for quality assurance activities, so as to satisfy the consumer's needs at the most economic level. To verify the feasibility of this approch, a case study is performed.

• 대한산업공학회지
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• 제38권2호
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• pp.144-156
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• 2012

In recent years, advanced countries in energy sector are emphasizing the importance of the development and deployment of renewable energy to cope with the global environmental crisis such as depletion of fossil energy, climate convention to control emissions of greenhouse gases. In this paper, we evaluate the economic value of the investment in new and renewable energy R&D in Korea and optimal deployment timing of new and renewable energy by using the real option approach. The real option model adopted in this paper assumes that a decision maker has a compound option to abandon, deployment, or continue the R&D. As a result by using empirical data of Korea, it is found that there exists a considerable amount of positive real option value (ROV) in the investment of new and renewable energy R&D while its net present value (NPV) calculated by traditional discounted cash flow (DCF) model shows negative value.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권3호
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• pp.1141-1163
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• 2019

In an effort to minimize operational expenses and supply users with more scalable services, distributed applications are actually going towards the Cloud. These applications, sent out over multiple environments and machines, are composed by inter-connecting independently developed services and components. The implementation of such programs on the Cloud is difficult and generally carried out either by hand or perhaps by composing personalized scripts. This is extremely error prone plus it has been found that misconfiguration may be the root of huge mistakes. We introduce AutoBot, a flexible platform for modeling, installing and (re)configuring complex distributed cloud-based applications which evolve dynamically in time. AutoBot includes three modules: A simple and new model describing the configuration properties and interdependencies of components; a dynamic protocol for the deployment and configuration ensuring appropriate resolution of these interdependencies; a runtime system that guarantee the proper configuration of the program on many virtual machines and, if necessary, the reconfiguration of the deployed system. This reduces the manual application deployment process that is monotonous and prone to errors. Some validation experiments were conducted on AutoBot in order to ensure that the proposed system works as expected. We also discuss the opportunity of reusing the platform in the transition of applications from Cloud to Fog computing.

• International Journal of Automotive Technology
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• 제7권2호
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• pp.179-185
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• 2006

Airbag deployment has been responsible for huge death, incidental injuries and broken bones due to low crash severity and wrong deployment decision. This misfortune has led the authorities and the industries to pursue uniquely designed airbags incorporating crash-sensing technologies. This paper provides a thorough discussion underlying crash sensing algorithm approaches for the subject matter. Unfortunately, most algorithms used for crash sensing still have some problems. They either deploy at low severity or fail to trigger the airbag on time. In this work, the crash-sensing algorithm is studied by analyzing the data obtained from the variables such as (i) change of velocity, (ii) speed of the vehicle and (iii) acceleration. The change of velocity is used to detect crash while speed of the vehicle provides relevant information for deployment decision. This paper also demonstrates crash severity with respect to the changing speed of the vehicle. Crash sensing simulations were carried out using Simulink, Stateflow, SimMechanics and Virtual Reality toolboxes. These toolboxes are also used to validate the results obtained from the simulated experiments of crash sensing, airbag deployment decision and its crash severity detection of the proposed system.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2007년도 하계종합학술대회 논문집
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• pp.169-170
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• 2007

In this paper, we analyze the effect of access point (AP) deployment on the accuracy of indoor localization. Two representative geometrical arrangements of AP deployment are selected. One is that a Tag is centered at the regular triangle composed of 3 AP's, and the other is that a Tag is set apart from the straight line composed of 3 AP's. As a result of simulation, the first case has a probability of 93% with distance errors within 1m, while the second case has a 32% of probability.

• 전기전자학회논문지
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• 제13권4호
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• pp.75-81
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• 2009

차세대 셀룰러 시스템은 중계기를 이용한 다중 홉 전송을 사용함으로써 신호의 전달 거리가 감소하고 이를 통한 전송률을 증대시킨다. 그러나 다중 홉 전송을 이용한 전달 거리 감소는 외부 셀 입장에서 간섭량의 증가를 의미하기 때문에 중계기의 위치는 셀룰러 시스템 성능에 영향을 줄 수 있다. 본 논문에서는 중계기의 전송 전력과 위치에 따른 간섭량의 변화를 고려하여 최대의 전송률을 내기 위한 중계기 위치를 결정한다. 중계기 위치 결정을 위한 조건은 수학적인 모델로 분석되었고 모의실험 결과를 통해서 그 성능을 검증하였다. 본 논문의 분석에 따르면 하나의 셀의 평균 오수신 확률을 최소화 시킬 수 있는 중계기 설치 지점과 중계기 전송 전력이 존재하며, 주파수 재사용에 따른 셀들 간 간섭이 심각하지 않은 상황에서 중계기는 평균 오수신 확률을 감소시켜줌으로써 셀 용량 증대에 기여하였다. 반면 셀간 간섭이 심각한 경우 중계기의 사용은 오히려 해당 셀의 오수신 확률을 증가시키므로 지양해야 한다는 결론에 도달하였다.

• 항공우주시스템공학회지
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• 제13권5호
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• pp.94-101
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• 2019

복합재료 반사판 안테나의 전개 특성을 해석 모델을 통하여 살펴보고 실험을 통하여 검증하고자 한다. 두 개의 회전 자유도를 가지며 스프링의 탄성 에너지에 의해 작동되는, 전개 메커니즘을 기반으로 반사판 안테나의 동역학적 해석 모델을 수립하였다. 유연 다물체 동역학 해석 프로그램인 ADAMS를 이용하여 패널의 전개 속도, 구조 변형 그리고 충격력을 분석하였다. 중력보상 장치를 이용하여 탄소섬유 강화 플라스틱(CFRP)으로 제작된 안테나 패널의 전개거동 특성을 실험적으로 검증/분석하였다. 안테나 패널이 전개되는 동안 발생하는 충격 응답 및 진동 문제를 확인하고, 댐퍼를 이용하여 안정적으로 전개가 됨을 확인하였다.

• 대한안전경영과학회지
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• 제8권1호
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• pp.113-130
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• 2006

As environmental damage increase by a highly developed material civilization of today, many companies take a growing immensely interest in the influence of environment for beginning a new paradigm year by year. The previous assessments dose not run the gamut of industry but is confined within a certain facility or an area. Industrial processes and operations can not be accomplished independently but are connected with each others through suppliers and customer, and these ideas are fundamental notions of Life Cycle Assessment(LCA). This paper will introduce Life Cycle Assessment(LCA) in environment which is rising, and would like to build environmental management system using approach of Quality Function Deployment(QFD) and Safety Function Deployment(SFD) belonging to the assessment method.

• International Journal of Computer Science & Network Security
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• 제23권2호
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• pp.210-226
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• 2023

It is difficult to transform a blockchain initiative from the feasibility stage to the fully commercialized the technology's products or services, especially considering the significant investment required and the lack of studies on the benefits and barriers from deployment perspective. Whereas some organizations have come up with their own solutions to moving beyond the feasibility stage, commercial applications do not yet exist and few organizations are willing to invest beyond the prototype phase and fill in the gap between the expected and actual business value of these types of projects. This study aims to develop a blockchain model using a survey to gather qualitative data on experts' opinions on the deployment of blockchain technology. Our model will measure how business professionals could take advantage of blockchain's disruptive technology to develop business opportunities. This study's contribution is to show blockchain technology's potential strategic business value. The findings from this exploration include the prospective for delivering comprehensions to businesses for different creating investment choices on the embracing of the blockchain technology.