• Title, Summary, Keyword: power consumption

Search Result 5,432, Processing Time 0.051 seconds

A Study on Prediction of Power Consumption Rate of Middle School Building in Changwon City by Regression Analysis (회귀분석을 통한 창원시 중학교 전력소비량 예측에 관한 연구)

  • Cho, Hyeong-Kyu;Park, Hyo-Seok;Choi, Jeong-Min;Cho, Sung-Woo
    • The Journal of Sustainable Design and Educational Environment Research
    • /
    • v.12 no.2
    • /
    • pp.61-70
    • /
    • 2013
  • As the existing school building power consumption is expressed by total power consumption, in the view of energy saving is disadvantage. The the power consumption of school building is divided as cooling, heating, lighting and others. The cooling power consumption, heating power consumption, lighting power consumption can be calculated using real total power consumption that gained from Korea Electric Power Corporation(KEPCO). The power consumption for cooling and heating can be calculated using heat transmittance, wall area and floor area, and for lighting is calculated by artificial lighting calculation. but this calculation methods is difficult for laymen. This study was carried out in order to establish the regression equation for cooling power consumption, heating power consumption, lighting power consumption and other power consumption in school building. In order to verify the validity of the regression equation, it is compared regression equation results and calculation results based on real power consumption. As the results, difference between regression result and calculation results for cooling and heating power consumption showed 0.6% and 3.6%.

A Study on the Low Power Algorithm consider the Battery and the Task (배터리와 태스크를 고려한 저전력 알고리듬 연구)

  • Youn, Choong-Mo;Kim, Jae-Jin
    • Journal of Digital Contents Society
    • /
    • v.15 no.3
    • /
    • pp.433-438
    • /
    • 2014
  • In this paper, we proposed the low power algorithm consider the battery and the task. The proposed algorithm setting the power consumption of unit time consider the capacity of the battery and the target time. Calculate the power consumption of all tasks. Calculate the average power consumption by the task have maximum power consumption and the task have minimum power consumption. Recalculate average power consumption consider the unit time of task. Compare calculated average power consumption and average power consumption of task. Compared results, low power algorithm processing the average power consumption less than or equal calculated power consumption of task. Low-power algorithm is greater than the average power consumption of the task to perform targeted tasks. Low-power processors and the task by dividing the power consumption of the device in large part for the low-power consumption is performed. Experiments [6] were compared with the results of the power consumption. The experimental results [6] is reduced power consumption than the efficiency of the algorithm has been demonstrated.

A Study on Prediction of Power Consumption Rate for Heating and Cooling load of School Building in Changwon City (창원시 학교 건축물의 냉난방부하에 대한 전력 소비량 추정에 관한 연구)

  • Park, Hyo-Seok;Choi, Jeong-Min;Cho, Sung-Woo
    • The Journal of Sustainable Design and Educational Environment Research
    • /
    • v.11 no.2
    • /
    • pp.19-27
    • /
    • 2012
  • This study was carried out in order to establish the estimation equation for school power consumption using regression analysis based on collected power consumption for two years of weather data and schools are located in Central Changwon and Masan district in Changwon city. (1) The power consumption estimation equation for Heating and cooling is calculated using power consumption per unit volume, the difference between actual power consumption and results of estimation equations is 4.1%. (2) The power consumption estimation equation for heating load is showed 2.6% difference compared to actual power consumption in Central Changwon and is expressed 2.9% difference compared to that in Masan district. Therefore, the power consumption prediction for each school using the power consumption estimation equation is possible. (3) The power consumption estimation equation for cooling load is showed 8.0% difference compared to actual power consumption in Central Changwon and is expressed 2.9% compared to that in Masan district. As the power consumption estimation equation for cooling load is expressed difference compared to heating load, it needs to investigate influence for cooling load.

Improved Side Channel Analysis Using Power Consumption Table (소비 전력 테이블 생성을 통한 부채널 분석의 성능 향상)

  • Ko, Gayeong;Jin, Sunghyun;Kim, Hanbit;Kim, HeeSeok;Hong, Seokhie
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • v.27 no.4
    • /
    • pp.961-970
    • /
    • 2017
  • The differential power analysis calculates the intermediate value related to sensitive information and substitute into the power model to obtain (hypothesized) power consumption. After analyzing the calculated power consumption and measuring power consumption, the secret information value can be obtained. Hamming weight and hamming distance models are most commonly used power consumption model, and the power consumption model is obtained through the modeling technique. If the power consumption model assumed by the actual equipment differs from the power consumption of the actual equipment, the side channel analysis performance is declined. In this paper, we propose a method that records measured power consumption and exploits as power consumption model. The proposed method uses the power consumption at the time when the information (plain text, cipher text, etc.) available in the encryption process. The proposed method does not need template in advance and uses the power consumption measured by the actual equipment, so it accurately reflects the power consumption model of the equipment.. Simulation and experiments show that by using our proposed method, side channel analysis is improved on the existing power modeling method.

A Study on the Low Power Algorithm for a Task (태스크에 따른 저전력 알고리즘에 관한 연구)

  • Kim, Jae-Jin
    • Journal of Digital Contents Society
    • /
    • v.14 no.1
    • /
    • pp.59-64
    • /
    • 2013
  • In this paper, we proposed low power algorithm for a task. The task means the inside of a necessary processor and external resources to work accomplishment of a system. Each task analyzes a life time and a number of called for implement a low power circuit. First of all, reduce power consumption of a task have maximum power consumption for low power circuit implementation. Therefore, first selecting a task had maximum power consumption. The task had a maximum power consumption ranking consider a life time and a number of called for each task. While a life time of task is long, top priority ranking to decrease power consumption to the task that the number of call generates the power consumption how a disguise is large in case of a lot of task becomes. Frequency decision to have minimum power consumption, and decrease power consumption all the circuit by a change of frequency of the task which the minimum task that a wasting past record is the maximum becomes. Also, keep continuously minimum power consumption, with every effort task until last life time in opening life time, and decrease gets total power consumption. Experiments results show reduction in the power consumption by 5.43% comparing with that [7] algorithm.

A Low-Power Design and Implementation of the Portable Device for Measuring Temperature and Humidity Based On Power Consumption Modeling (소비 전력 모델링에 입각한 휴대용 온습도 측정기의 저전력 설계 및 구현)

  • Lee, Chul-Ho;Hong, Youn-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.15 no.2
    • /
    • pp.1027-1035
    • /
    • 2014
  • The most important design factor for portable devices is power consumption. In this paper, in the early design stage of a mobile device which measures temperature and humidity a power consumption model will be proposed and then the overall power consumption will be estimated based on this model. We will verify previously the correctness of such estimated power consumption before implementation of the real device. That is our proposed design methodology based on power consumption model. An improved design method for efficiently reducing the current consumption in the idle mode is also presented. By implementing a real prototype of the mobile device for measuring temperature and humidity, the correctness of our proposed design methodology based on power consumption modeling will be verified.

A design of a low power mobile multimedia system architecture (저전력 모바일 멀티미디어 시스템 구조 설계에 관한 연구)

  • Lee, Eun-Seo;Lee, Jae-Sik;Kim, Byung-Il;Chang, Tae-Gyu
    • Proceedings of the KIEE Conference
    • /
    • /
    • pp.231-233
    • /
    • 2005
  • For the low-power design of the mobile multimedia system architecture, this paper modeling the mobile multimedia system and analysis the power consumption profile about the whole communication environment. The mobile system model consist of air interface, RIP front-end, base-band processing module and human interface. For the result of power consumption profile analysis, the power consumption of multimedia processing is above 60% compare to the whole power consumption in mobile multimedia system. To minimize the power consumption in processing module which consumes the large power, this paper proposed the Microscopic DVS technique which applies the optimum voltage for the each multimedia frame. For the simulation result, proposed power minimization technique reduce the power consumption about 30%.

  • PDF

Survey on the Residential Standby Power Consumption in Korea (한국의 가정용 대기전력 소모현황 조사연구)

  • 김남균;서길수;김상철;김은동
    • The Transactions of the Korean Institute of Electrical Engineers A
    • /
    • v.53 no.8
    • /
    • pp.472-476
    • /
    • 2004
  • Standby power is the electricity consumed in an electrical equipment when it is switched-off or not performing its main function. Due to the acceleration of digital electronics and home networking, standby power use tends to increase rapidly year by year. In this paper, standby power consumption in residential sector in Korea has been surveyed and reported for the first time. Totally 825 pieces of electrical equipments that consume standby power in 53 households were investigated. The average standby power per equipment and total standby power per household were 3.66W and 57.0W, respectively. Annual standby power consumption per household was estimated 306kWh; which means the standby power consumption in residential sector in Korea can be estimated 4.6TWh a year representing 1.67 percent of total electrical consumption (274TWh).

An Effective Viewport Resolution Scaling Technique to Reduce the Power Consumption in Mobile GPUs

  • Hwang, Imjae;Kwon, Hyuck-Joo;Chang, Ji-Hye;Lim, Yeongkyu;Kim, Cheong Ghil;Park, Woo-Chan
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.11 no.8
    • /
    • pp.3918-3934
    • /
    • 2017
  • This paper presents a viewport resolution scaling technique to reduce power consumption in mobile graphic processing units (GPUs). This technique controls the rendering resolution of applications in proportion to the resolution factor. In the mobile environment, it is essential to find an effective resolution factor to achieve low power consumption because both the resolution and power consumption of a GPU are in mutual trade-off. This paper presents a resolution factor that can minimize image quality degradation and gain power reduction. For this purpose, software and hardware viewport resolution scaling techniques are applied in the Android environment. Then, the correlation between image quality and power consumption is analyzed according to the resolution factor by conducting a benchmark analysis in the real commercial environment. Experimental results show that the power consumption decreased by 36.96% on average by the hardware viewport resolution scaling technique.

Flexible Prime-Field Genus 2 Hyperelliptic Curve Cryptography Processor with Low Power Consumption and Uniform Power Draw

  • Ahmadi, Hamid-Reza;Afzali-Kusha, Ali;Pedram, Massoud;Mosaffa, Mahdi
    • ETRI Journal
    • /
    • v.37 no.1
    • /
    • pp.107-117
    • /
    • 2015
  • This paper presents an energy-efficient (low power) prime-field hyperelliptic curve cryptography (HECC) processor with uniform power draw. The HECC processor performs divisor scalar multiplication on the Jacobian of genus 2 hyperelliptic curves defined over prime fields for arbitrary field and curve parameters. It supports the most frequent case of divisor doubling and addition. The optimized implementation, which is synthesized in a $0.13{\mu}m$ standard CMOS technology, performs an 81-bit divisor multiplication in 503 ms consuming only $6.55{\mu}J$ of energy (average power consumption is $12.76{\mu}W$). In addition, we present a technique to make the power consumption of the HECC processor more uniform and lower the peaks of its power consumption.