• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2008년도 추계학술대회 논문집
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• pp.372-374
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• 2008

Korea classified into a development country when UNFCCC was concluded in 1995. So Korea doesn't have a GHG reduction duty until 2012. As the UNFCCC is strengthened, recently there is a growing interest in renewable energy and energy usage efficiency improvement for reducing GHG emission. It is associated with CES and renewable energy. CES is a total energy (heat, cooling and power)supplier in aggregated demand zone like a hotel, building, hospital and redevelopment district using CHP and it improves energy usage efficiency. At present, renewable energy is needed for GHG reduction duty but renewable energy doesn't have economic feasibility. So renewable energy is needed various support system to popularize which is a FIT and RPS. Especially RPS is carrying out instead of FIT in many advanced country and it will be inroduced in Korea. RPS is a duty which electricity service provider must guarantee renewable energy as much as specific ratio of total capacity. Therefore this study conducts an economic feasibility estimation of CES considering renewable energy when RPS will introduced in the future.

• Journal of Electrical Engineering and Technology
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• 제10권1호
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• pp.64-74
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• 2015

Because of the burgeoning demand of the energy, the countries are finding sustainable solutions for these emerging challenges. Demand Side Management is playing a significant role in managing the demand with an aim to support the electrical grid during the peak hours. However, advancement in controls and communication technologies, the aggregators are appearing as a third party entity in implementing demand response program. In this paper, a detailed mathematical framework is discussed in which the aggregator acts as an energy service provider between the utility and the consumers, and facilitate the consumers to actively participate in demand side management by introducing the new concept of demand reduction bidding (DRB) under constrained direct load control. Paper also presented an algorithm for the proposed framework and demonstrated the efficacy of the algorithm by considering few case studies and concluded with simulation results and discussions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권1호
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• pp.97-115
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• 2022

Smart power grid is a user friendly system that transforms the traditional electric grid to the one that operates in a co-operative and reliable manner. Demand Response (DR) is one of the important components of the smart grid. The DR programs enable the end user participation by which they can communicate with the electricity service provider and shape their daily energy consumption patterns and reduce their consumption costs. The increasing demands of electricity owing to growing population stresses the need for optimal usage of electricity and also to look out alternative and cheap renewable sources of electricity. The solar and wind energy are the promising sources of alternative energy at present because of renewable nature and low cost implementation. The proposed work models a smart home with renewable energy units. The random nature of the renewable sources like wind and solar energy brings an uncertainty to the model developed. A stochastic dual descent optimization method is used to bring optimality to the developed model. The proposed work is validated using the simulation results. From the results it is concluded that proposed work brings a balanced usage of the grid power and the renewable energy units. The work also optimizes the daily consumption pattern thereby reducing the consumption cost for the end users of electricity.

• Journal of applied mathematics & informatics
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• 제41권1호
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• pp.95-105
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• 2023

To make the network energy efficient and to protect the network from malignant user's energy efficient grid based secret key sharing scheme is proposed. The cost function is evaluated to select the optimal nodes for carrying out the data transaction process. The network is split into equal number of grids and each grid is placed with certain number of nodes. The node cost function is estimated for all the nodes present in the network. Once the optimal energy proficient nodes are selected then the data transaction process is carried out in a secured way using malicious nodes filtration process. Therefore, the message is transmitted in a secret sharing method to the end user and this process makes the network more efficient. The proposed work is evaluated in network simulated and the performance of the work are analysed in terms of energy, delay, packet delivery ratio, and false detection ratio. From the result, we observed that the work outperforms the other works and achieves better energy and reduced packet rate.

• 한국통신학회논문지
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• 제40권5호
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• pp.826-832
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• 2015

무선 네트워크에서 서비스 공급자 및 고객을 동시에 만족시키기 위해서는 전력 효율성과 수신기 공평성 보장이 중요하다. 본 논문에서는, 최적화 기법에 기반하여 무선 네트워크의 전력 효율성과 수신기 공평성을 동시에 향상시키는 자원 할당 방안을 제안한다. 제안 방안에서는 채널 상황, 사용되는 전력량, 수신기 별 데이터 전송률을 동시에 고려하여 전력 효율성과 수신기 공평성을 높이는 방향으로 반복적으로 서브채널 및 파워를 할당한다. 시뮬레이션을 통하여 전력 효율성과 수신기 공평성 관점에서 제안하는 기법의 효율성 및 우수성을 증명한다.

• 한국지능시스템학회:학술대회논문집
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• 한국지능시스템학회 2007년도 추계학술대회 학술발표 논문집
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• pp.71-74
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• 2007

오늘날 자연재해 발생 빈도수가 증가하고 있어 ESP(Energy Service Provider)와 대수용가에 서는 예기치 못한 정전 및 에너지 중단과 같은 이벤트가 발생하면 재산상의 손실과 같은 피해가 커지고 있다. 이에 에너지 포털 시스템에서 발생활 수 있는 다양한 이벤트들을 실시간으로 처리할 수 있는 효율적인 이벤트 모델링 개발이 필요하다. 그러나 현재 이러한 이벤트 처리를 위한 이벤트 모델링 개발은 거의 이루어지고 있지 않다. 이에 본 논문에서는 에너지 포털 시스템에서 발생하는 정전과 같은 이벤트와 원격 검침 둥과 같은 부가 서비스를 제공함에 따라 발생하는 이벤트들을 지능을 가진 실시간 에이전트를 사용하여 웹 환경에서 W3C 이벤트 처리 권고안인 DOM 모델을 기반으로 esXML(energy system eXtensible Markup Language)을 사용하여 효율적으로 처리할 수 있는 모델링을 개발하였다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2007년도 춘계학술발표대회
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• pp.544-546
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• 2007

본 연구에서는 전력부가서비스 시스템으로 개발한 전력에너지 컨설팅 시스템의 주요 기능과 운영방을 소개한다. 본 시스템의 주요 기능은 전력소비 데이터 분석, 전력사용량 분석, 전력요금 분석, 전력요금 컨설팅 보고서 제공 등 4가지로 구분할 수 있다. 원격검침을 시행중인 고압고객 중 계약전력이 100kW 이상인 대수용가로부터 특히, 전력요금 절감을 필요로 하지만 별도의 설비나 인력을 보유하지 않은 10,000kW 이하 고객을 적용대상으로 하고 있다. 본 시스템은 수용가에게는 전력요금 절감을 전력회사 및 Energy Service Provider에게는 간접적 부하/수요관리 효과를 목표로 개발하였으며, 향후 대수용가를 대상으로 전력부가서비스 적용 사업화 분야에 활용될 수 있을 것이다.

• 융합보안논문지
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• 제11권4호
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• pp.11-17
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• 2011

본 논문에서는 IDC를 기반으로 한 FLV 동영상 솔루션을 Mini IPTV에 적용한 시스템 설계 및 구현을 제안한다. IDC의 에너지를 최소화하고, 자원 활용을 극대화시키는 Green Data Center로 설계하며, Mini IPTV의 다양한 콘텐츠를 서비스 공급자 및 네트워크 공급자가 네트워크를 통해 Mini IPTV 가입자에게 제공한다. 이때 FLV 솔루션 파일 포맷과 압축 기술을 이용해 동영상의 화질과 압축률을 개선하도록 구현함으로써, 트래픽 비용의 절감 및 보안 문제를 해결하고, 특히 웹에서 급속히 팽창하고 있는 e-Learning 분야에 활용하고자 한다.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2001년도 추계학술대회 논문집
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• pp.7-10
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• 2001

The development of information communication technology leads the growth of logistic industry including delivery service as well as electronic commerce. The researchers predict that it will be still improving for the next several years. The logistic information system of railroad courier has been growing for a long time with small-package delivery transportation which is similar to the land-road delivery system. Despite of the long-time growth, it is recently in pain of the great loss since the 1990's, due to the failure to satisfy the customer's need for door-to-door delivery service. But the logistic information system of railroad still has the great potential. There are so many benefits such as timeliness, Punctuality, speed, multi-node storage base, transportation efficiency, energy frugality, environmental sociability, and so on. If the railroad logistic system plays a role of a portion of the nation-wide logistic with other logistic system, the synergy through the balancing logistic will also get much of international competitive advantages. So the objective of this research is to design the model and prototype of the web-based logistic system from which railroad service provider(Korean National Railroad), delivery service providers, and the customers can share the best effective delivery information.

• International Journal of Computer Science & Network Security
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• 제21권11호
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• pp.345-353
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• 2021

Cloud computing represent a new era of computing that's forms through the combination of service-oriented architecture (SOA), Internet and grid computing with virtualization technology. Virtualization is a concept through which every cloud is enable to provide on-demand services to the users. Most IT service provider adopt cloud based services for their users to meet the high demand of computation, as it is most flexible, reliable and scalable technology. Energy based performance tradeoff become the main challenge in cloud computing, as its acceptance and popularity increases day by day. Cloud data centers required a huge amount of power supply to the virtualization of servers for maintain on- demand high computing. High power demand increase the energy cost of service providers as well as it also harm the environment through the emission of CO₂. An optimization of cloud computing based on energy-performance tradeoff is required to obtain the balance between energy saving and QoS (quality of services) policies of cloud. A study about power usage of resources in cloud data centers based on workload assign to them, says that an idle server consume near about 50% of its peak utilization power [1]. Therefore, more number of underutilized servers in any cloud data center is responsible to reduce the energy performance tradeoff. To handle this issue, a lots of research proposed as energy efficient algorithms for minimize the consumption of energy and also maintain the SLA (service level agreement) at a satisfactory level. VM (virtual machine) consolidation is one such technique that ensured about the balance of energy based SLA. In the scope of this paper, we explore reinforcement with fuzzy logic (RFL) for VM consolidation to achieve energy based SLA. In this proposed RFL based active VM consolidation, the primary objective is to manage physical server (PS) nodes in order to avoid over-utilized and under-utilized, and to optimize the placement of VMs. A dynamic threshold (based on RFL) is proposed for over-utilized PS detection. For over-utilized PS, a VM selection policy based on fuzzy logic is proposed, which selects VM for migration to maintain the balance of SLA. Additionally, it incorporate VM placement policy through categorization of non-overutilized servers as- balanced, under-utilized and critical. CloudSim toolkit is used to simulate the proposed work on real-world work load traces of CoMon Project define by PlanetLab. Simulation results shows that the proposed policies is most energy efficient compared to others in terms of reduction in both electricity usage and SLA violation.