• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2004.11a
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• pp.217-222
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• 2004

고도 정보화 사회의 진전으로 전기에너지의 소비는 급격히 증가하고 있다. 특히 업무용 빌딩과 같은 전력다소비 건물에서는 전력의 효율적 이용에 의한 에너지절감은 물론 설계 단계에서의 합리적인 전기설비 설계가 요청되고 있다. 현재 우리나라의 기후 특성과 전력소비 특성을 고려한 합리적인 전기설비 설계를 위한 기초 자료가 매우 미흡한 실정이다. 본 연구에서는 합리적인 수용률 기준을 설정하기 위하여 사무소용 빌딩의 전력 소비 특성을 조사 분석하였고, 아울러 전기설비설계사무소에서 적용하고 있는 수용률을 조사 분석하였다. 조사된 자료 전체의 특징과 중심적인 경향을 알아내기 위해서 평균값, 중앙값, 표준편차, 최대 값, 최소 값, 회귀모형식, 최소제곱 평균오차 등의 확률 통계적 파라미터들을 수용률 기준 설정을 위한 특징 파라미터로 선택하였다. 그리고, 데이터의 신뢰성을 비교 분석하기 위하여 선형적인 방법과 비선형적인 방법으로 그 경향을 추정하여 곡선으로 나타내었다. 이러한 방법에 의하여 얻어진 분석 자료를 이용하여 적정 변압기 용량 설정을 위하여 데이터베이스화하였고, 변전설비용량의 합리적인 설계를 위하여 수용률 기준 적용시에 필요한 자료로 활용할 수 있으리라 사료된다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.799-800
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• 2013

• Journal of Drive and Control
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• v.9 no.2
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• pp.15-20
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• 2012

Pneumatic cylinder meter-out driving apparatus is used widely because it is clean, lightweight, and can be easily serviced. In this study an estimation method of energy consumption for pneumatic cylinder meter-out driving apparatus is proposed. The proposed method is derived from state equation and energy equation of air, and, the equation of motion of a moving part of a pneumatic cylinder reflecting the characteristics of the meter-out driving. The effectiveness of the proposed method is proved by simulation study and it demonstrates that the proposed method can evaluate the energy consumption quickly and easily when the parameters of the driving apparatus are changed.

• Proceedings of the Korea Society for Simulation Conference
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• 2005.11a
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• pp.8-12
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• 2005

최근 마이크로 센서와 무선 통신 기술의 진보는 센서 네트워크의 발전을 가능하게 하였다. 이와 같은 사실은 무선 센서 네트워크를 위한 수많은 라우팅 프로토콜의 개발로 이어졌으며, 다양한 구조의 알고리즘들이 제안되었다. 특히, 디렉티드 디퓨젼(Directed Diffusion; DD)은 데이터 중심 기반의 라우팅 알고리즘으로 속성 칼 쌍을 이용하여 통신하는 센서 네트워크의 한 패러다임이라고 할 수 있다. 그러나 기존의 DD에서는 작업을 요청하는 질의 메시지(interest message)가 전체 센서 네트워크에 플러딩(flooding)되는데, 이러한 과정은 에너지 소비 측면에서 볼 때 매우 비효율적이라고 할 수 있다. 이와 같은 문제를 해결하기 위하여 본 논문에서는 센서 노드의 에너지와 밀도 정보를 고려한 임계값을 이용하여 데이터의 전송 지역을 제한함으로서, 네트워크의 에너지 소비를 줄일 수 있는 새로운 메시지 전달영역 제한기법(propagation limiting method; PLM)을 제안한다. 퍼지 규칙 기반 시스템은 센서 필드에 배치된 노드들의 에너지와 밀도 정보를 입력 파라미터로 사용하여 메시지 라우팅을 위한 임계값 결정에 사용된다 본 연구에서 제안된 기법을 사용하여 센서 네트워크의 에너지 소비를 실험한 결과 기존에 제안되었던 알고리즘들에 비해 상대적으로 높은 효율성을 나타내었으며, 전체적으로 네트워크의 수명도 연장할 수 있었다.

• KIPS Transactions on Computer and Communication Systems
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• v.4 no.6
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• pp.185-196
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• 2015

Energy aware server clusters aim to reduce power consumption at maximum while keeping QoS(Quality of Service) compared to energy non-aware server clusters. They adjust the power mode of each server in a fixed or variable time interval to let only the minimum number of servers needed to handle current user requests ON. Previous studies on energy aware server cluster put efforts to reduce power consumption further or to keep QoS, but they do not consider energy efficiency well. In this paper, we propose an energy efficient cluster management based on autonomous learning for energy aware server clusters. Using parameters optimized through autonomous learning, our method adjusts server power mode to achieve maximum performance with respect to power consumption. Our method repeats the following procedure for adjusting the power modes of servers. Firstly, according to the current load and traffic pattern, it classifies current workload pattern type in a predetermined way. Secondly, it searches learning table to check whether learning has been performed for the classified workload pattern type in the past. If yes, it uses the already-stored parameters. Otherwise, it performs learning for the classified workload pattern type to find the best parameters in terms of energy efficiency and stores the optimized parameters. Thirdly, it adjusts server power mode with the parameters. We implemented the proposed method and performed experiments with a cluster of 16 servers using three different kinds of load patterns. Experimental results show that the proposed method is better than the existing methods in terms of energy efficiency: the numbers of good response per unit power consumed in the proposed method are 99.8%, 107.5% and 141.8% of those in the existing static method, 102.0%, 107.0% and 106.8% of those in the existing prediction method for banking load pattern, real load pattern, and virtual load pattern, respectively.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37A no.12
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• pp.1085-1092
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• 2012

Mobile communication systems define user state transition mechanisms in order to manage radio resources and battery power efficiently. In the state transition mechanism, a state with a higher energy consumption inherently offers a shorter access delay, so there is a tradeoff between the energy and delay performances. In this paper, we analyze the user state transition mechanism of UMTS by considering the bursty traffic attributes of mobile applications. We perform a numerical evaluation for both the energy consumption and the activation delay by Markov modeling of the state transition mechanism, and investigate their tradeoff relationship as functions of operational parameters. The resulting energy-delay tradeoff curves clearly show an achievable performance bound of the user state transition mechanism and also offer an optimal operation strategy to minimize the energy consumption while guaranteeing the delay requirement.

• Journal of Power System Engineering
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• v.16 no.2
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• pp.60-65
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• 2012

Pneumatic actuators are clean, lightweight, and can be easily serviced, whereas low energy efficiency has been considered as a critical shortcoming compared with corresponding hydraulic and electrical actuators. This study describes a new design method of pneumatic cylinder driving apparatus by lowering a supply pressure. The simulation study demonstrates that the designed system with the proposed method can operate at the smaller energy consumption state compare to the designed system with the conventional method for the specified working conditions.

• Journal of Korea Multimedia Society
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• v.10 no.1
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• pp.139-146
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• 2007

Many researches had been gone about method to track moving object using wireless sensor network. We examined tradeoffs that exist between quantity of energy and correctness of tracking, and we confirmed that can get more energy sayings through improved motion prediction method. The consumed energy in the tracking is used by sensor node for sensing the object, and tracking correctness is a differ once of actual object position from calculated value by sensing. Some tracking methods and controlling parameters causes a variation of tracking correctness and energy consuming, we can get best energy effectiveness by motion prediction algorithm. Furthermore, we get better tracking quality and energy effectiveness through using a motion prediction algorithm that consider acceleration. By the simulation, we know that if we use an accurate motion prediction algorithm, node activation range that is used for target's predicted position should be restricted to sensing range of sensor is better.

• Journal of Energy Engineering
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• v.28 no.4
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• pp.76-81
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• 2019

This paper is a review of the certification system required for various energy prosumer business models, including P2P energy trading and participation in small demand response programs, which are based on reliable production and consumption certification. One of the most important parameter in energy trading is ensuring the reliability of trading account balancing. Therefore, we studied to use big data pattern analysis based blockchain smart contract between trading partners to make its tradings are more reliable. For this purpose big data analysis system collected from the IoT AMI and a production authentication system using a private blockchain network linked with the AMI is discussed, using the blockchain smart contract are also suggested. Futhermore, energy trading system concept and business models are introduced.

• The KIPS Transactions:PartC
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• v.16C no.6
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• pp.791-800
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• 2009

Multicasting is fundamental to many ad hoc network applications requiring collaboration of multiple nodes in a group. A general approach is to construct an overlay tree and to deliver a multicast packet to multiple receivers over the tree. This paper proposes adaptive overlay trees (AOTs) on wireless ad hoc networks of static nodes for delay- and energy-efficient multicast. A tradeoff function is derived, and an algorithm for AOT construction is developed. Note here that the requirements of delay and energy consumption may vary with different classes of applications. By adjusting parameters in the tradeoff function, different AOTs can be adaptively chosen for different classes of applications. An AOT is constructed in O(ke) time where e is the number of wireless links in a network and k is the number of member nodes in a multicast group. The simulation study shows that AOT adaptively provides tradeoffs between the fastest multicast (which is the choice if delay is the most important factor) and the most energy efficient multicast (which is used when energy consumption is the primary concern). In other words, one of AOTs can be appropriately chosen in accordance with the operation requirement.