• Journal of IKEEE
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• v.19 no.4
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• pp.603-609
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• 2015

Thermal comfort is one of the fundamental aspects of indoor environmental quality and it is strongly related to occupant satisfaction and energy used in building. In this paper, we proposes smart comfort algorithm that save energy and provide a pleasant and comfortable environment for workers by the indoor comfort conditions(Predictive Mean Vote) detection and controlling the temperature and humidity, air flow. Simulation results, heating and cooling control of the thermal comfort control can be compared with the existing general air conditioners reduces the power of 0.5kW and indoor comfort can be maintained. Also, It showed a 49.2% improvement in the light by lighting control algorithm.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.10
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• pp.1233-1235
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• 2016

It is desirable to place virtual machines for minimizing the number of operational servers in order to save energy in high-density cloud computing environment. However, the compacted servers can incur heat islands. This paper firstly finds out the relationship between the server utilization by the virtual machine placement and the energy consumption of servers and heat from servers. Then, this paper proposes a virtual machine placement algorithm to save energy consumed and avoid heat islands.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10c
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• pp.109-111
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• 2003

최근 무선 네트워킹 장치들이 등장 하면서 제한된 배터리에 의존하는 무선 호스트들의 전력 절감은 중요한 이슈가 되었다. 특히 Ad­Hoc에서 배터리는 제한된 에너지를 제공하기 때문에 무선 호스트에 의해서 소모되어지는 에너지의 양을 감소시키기 위한 기술은 대단히 중요하다. 특히 MAC 과 라우팅 에서 전력 절감을 이루기 위한 논문들이 기존에 발표 되었다. 이 논문에서는 IEEE 802.11 표준의 DCF (Distributed Coordination Function) 에서의 전력 절감 메카니즘을 향상 시킨 논문 이다. DCF를 위한 IEEE 802.11 전력 절감 메카니즘에서는 비콘 간격 이라는 시간으로 나누어지며 또한 이러한 각각의 비콘 간격이 시작될 때 각각의 노드들은 ATIM 창 동안 깨어 있어야 한다. 물론 모든 노드는 같은 시간에 깨어 있기 위해서는 동기화 되는 것이 필요하다. ATIM 창 동안 노드들은 비콘 기간 동안 깨어 있는 상태로 있을 것인지를 결정하기 위해서 control packet을 교환 한다. 이러한 ATIM 창 크기는 각각의 노드들의 전력절감에 상당한 영향을 미친다. 따라서 이 논문은 ATIM 창 크기를 동적으로 증감시켜서 보다 에너지 효율을 발휘 하고자 하는 논문이다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.860-867
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• 2015

This paper presents a control method for energy cost saving in the water reuse pumping system. An optimize horizon switching strategy is proposed to implement an pump control. And Particle Swarm Optimization (PSO) algorithm is used to solve optimal problems in each time step. Energy costs are calculated for electricity on both TOU in the light, heavy, and maximum load time period and peak charges. The control method in water reuse pumping systems is determined to reduce the TOU cost. The simulation results show a energy cost saving for water reuse pumping systems.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.2B
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• pp.111-119
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• 2011

As Green-IT has attracted a lot of attention in recent years, many researches have been interested in reducing the energy consumption of network equipments. In this paper, we analyze the energy saving ratio and delay performance according to various traffic patterns and burst assemble algorithms in OBS network with sleeping mode. To do this, we design the traffic generators, which are based on exponential distribution and Pareto distribution, and the router model, which has the time based and length based burst assemble algorithms by using OPNET modeler. Through OPNET simulator, we evaluate the energy saving performance in terms of the sleeping time, the number of transitions and packet delay.

• Journal of Korea Multimedia Society
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• v.11 no.10
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• pp.1392-1402
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• 2008

Home gateway is always full-powered for ubiquitous home services, and consumes much energy yearly. Power-saving algorithm to conserve this energy must reduce the energy consumption and preserve always-on services. Our algorithm predicts current idle period using the history of the past idle period when the idle period starts, and then determines whether the power mode is changed to the saving mode or not. On the power saving mode, it processes the simple protocol data for network control using proxying with no wakeup. And it changes the power mode to active mode when user's traffic exists. As the results of the simulation using real traffic, our algorithm saves the energy consumption from 14% to 49% as compared with existing method.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.3
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• pp.1235-1242
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• 2013

This study deals with the BIM (Building Information Modeling)-based energy performance analysis implemented in EnergyPlus. The BIM model constructed at Revit is updated at Design Builder, adding HVAC models and converted compatibly with the EnergyPlus. We can obtain the input values about HVAC system and building environment such as HVAC system efficient, the number of air changes and energy consumption of equipment on applying GAs (Genetic algorithms). After modification about HVAC system, Optimization about HVAC system energy consumption can be analyzed. In order to maximize the building energy performance, a genetic algorithm (GA)-based optimization technique is applied to the modified HVAC models. Throughout the proposed building energy simulation, finally, the best optimized HVAC control schedule for the target building can be obtained in the form of "supply air temperature schedule". Throughout the supply air temperature schedule is applied to energy performance simulation, we obtained energy saving effect result on simulation.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10d
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• pp.421-425
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• 2006

본 논문에서는 TinyOS 기반의 센서 네트워크에 대한 리프로그래밍을 에너지 효율적으로 수행하기 위한 매커니즘을 제안한다. 베이스 스테이션에서 센서노드에게 프로그램 전체를 보내는 대신 이전 버전과의 차이인 델타를 생성해서 전송할 때 Multi-round Rsync 알고리즘을 적용해 델타 파일의 크기를 최대한 줄이는 기법과 업데이트가 불필요한 플래시메모리 페이지에 대한 업데이트를 방지하기 위한 페이지 맵 기법을 통해 Rsync만을 사용하는 기존 방식보다 최대 30% 이상 에너지를 절감할 수 있음을 확인하였다.

• Journal of Energy Engineering
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• v.25 no.2
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• pp.79-85
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• 2016

This paper presents an advanced energy demand management for buildings. It is important to aggregate a various demand side resource which is controllable on demand response environment. Previous demand side algorithm for building is mostly restricted on single building. In this paper, we suggest energy demand management algorithm for many buildings. And, this paper shows the procedure to apply suggested demand management algorithm.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.6
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• pp.17-23
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• 2012

In this paper, we were proposed a new LED light device lighting control algorithm for optimal energy saving. The propose lighting control algorithm be to the LED lights devices lighting control by measuring illuminance into multi sensors. And it be to lighting control by inverting of octagon pattern during set-up time. All the LED is lighting when detecting motion by the motion sensor. And, it was designed enable remote management control by communicate with central monitoring center using Zigbee wireless network to measured data from sensors at real time. In this paper, a proposed lighting control algorithm was measured power consumption about the lighting status of LED lighting device using the lighting control program for demonstrate of energy savings effect. The measured result, the lighting method applying proposed algorithm were proved energy savings effect of more 40% more compared to the existing lighting method.