• 정보처리학회논문지D
• /
• 제19D권4호
• /
• pp.281-292
• /
• 2012

스마트 폰과 같은 모바일 기기에서 동작하는 응용 소프트웨어는 제한된 배터리 용량으로 인하여 안정적인 서비스를 지속적으로 제공하는데 어려움을 갖는다. 과거에는 배터리의 수명을 연장 시키거나 소모전력이 적은 하드웨어 장치들을 개발하는 것으로 모바일 기기의 소모전력을 관리하였다. 그러나 시스템에 탑재되는 소프트웨어가 복잡해짐에 따라 소프트웨어에 대한 소모전력 분석 연구도 관심을 갖게 되었다. 이러한 연구들 중에서 모델 기반의 소모전력 분석은 코드가 개발되기 이전에 미리 소모전력을 분석하고, 분석 결과를 기반으로 소프트웨어를 개발한다는 측면에서 소모전력 감소를 위한 하나의 중요한 전략으로 인식되어 오고 있다. 따라서 본 논문에서는 소프트웨어의 행위 모델인 UML의 상태기계(State Machine) 다이어그램을 이용하는 소모전력 분석 기법을 제안한다. 제안하는 분석기법은 상태기계 다이어그램을 페트리 넷으로 변환하고, 이의 시뮬레이션을 통해 소모전력을 예측하게 된다.

• 한국인터넷방송통신학회논문지
• /
• 제23권4호
• /
• pp.23-28
• /
• 2023

무선 스마트 유틸리티 네트워크 통신시스템에서는 비동기 저전력 MAC이 IEEE 802.15.4e에 의해 표준화되어 사용되고 있다. RIT(Receiver Initiated Transmission)라고 불리는 비동기 방식 MAC은 체크인터벌(RIT period)에 따라 지연시간과 전력소모가 크게 영향을 받는 특성이 있다. 체크인터벌 마다 수면에서 깨어나 자신이 수신할 데이터가 있는지 확인함으로써, 수신단 전력 소모는 획기적으로 줄일 수 있지만 송신단에서는 과도한 웨이크업 시퀀스(wakeup sequence)로 전력소모가 발생하는 단점을 가진다. 체크 인터벌을 짧게하여 과도한 웨이크업 시퀀스를 줄이면 너무 빈번한 웨이크업으로 수신단 전력 소모가 많아지게 된다. RIT 비동기식 MAC 기법에서 트래픽 부하와 체크인터벌의 운용에 따른 전력소모 성능을 분석하여 Wi-SUN 구축시 적용코자 한다.

• 조명전기설비학회논문지
• /
• 제28권9호
• /
• pp.20-27
• /
• 2014

The power consumption pattern of high-speed railway has rarely during night time. But, during service time, the power is consumed irregularly related to train operation. Especially certain unusual about 1-2 days of service time interval to indicate the power consumption is rapidly growing phenomenon, which causes the capacity of the power contract is the annual electricity bill to rise rapidly as the cause. Normally, amount of peak power consumption bill rate at railway substation is over 20% of total electrical bill. Therefore, high-speed railway substation is expected to be considerably larger savings by reducing the peak power of the default charge(demand power).

• 한국철도학회:학술대회논문집
• /
• 한국철도학회 2007년도 춘계학술대회 논문집
• /
• pp.893-898
• /
• 2007

At present, one of the big characteristics in electric power market in korea is unique seller but in the near future competitions are expected in the market. so additional service for the electric power are expected. Also with development of IT technology, remote inspection for power usage are possible so as consumption pattern analysis. KORAIL is one of the biggest consumer in electric power market so it is necessary to investigate power consumption pattern. This paper presents electric load consumption pattern for representative substation like urban subway, high-speed train, industrial line and simulation program for electric power rate definition program based on billing system database. Base on the substation annual power usage DB data, the characteristic of the substation power consumption are investigated and effective electrical billing system are compared each other. Through this program it is verified that we can save more then several hundred million won for a year.

• 한국통신학회논문지
• /
• 제35권9B호
• /
• pp.1322-1329
• /
• 2010

As body sensor network (BSN) research becomes mature, the need for managing power consumption of sensor nodes has become evident since most of the applications are designed for continuous monitoring. Real time Electrocardiograph (ECG) analysis on sensor nodes is proposed as an optimal choice for saving power consumption by reducing data transmission overhead. Smart sensor nodes with the ability to categorize lately detected ECG cycles communicate with base station only when ECG cycles are classified as abnormal. In this paper, ECG classification algorithms are described, which categorize detected ECG cycles as normal or abnormal, or even more specific cardiac diseases. Our Euclidean distance (ED) based classification method is validated to be most power efficient and very accurate in determining normal or abnormal ECG cycles. A close comparison of power efficiency and classification accuracy between our ED classification algorithm and generalized linear model (GLM) based classification algorithm is provided. Through experiments we show that, CPU cycle power consumption of ED based classification algorithm can be reduced by 31.21% and overall power consumption can be reduced by 13.63% at most when compared with GLM based method. The accuracy of detecting NSR, APC, PVC, SVT, VT, and VF using GLM based method range from 55% to 99% meanwhile, we show that the accuracy of detecting normal and abnormal ECG cycles using our ED based method is higher than 86%.

• Environmental Engineering Research
• /
• 제21권4호
• /
• pp.409-419
• /
• 2016

As a major energy consumption province, the issue about the carbon emissions in Hebei Province, China has been concerned by the government. The carbon emissions can be effectively reduced due to a more rational energy consumption structure. Thus, in this paper the constraint of low carbon emissions is considered as a foundation and four energies--coal, petroleum, natural gas and electricity including wind power, nuclear power and hydro-power etc are selected as the main analysis objects of the adjustment of energy structure. This paper takes energy cost minimum and carbon trading cost minimum as the objective functions based on the economic growth, energy saving and emission reduction targets and constructs an optimization model of energy consumption structure. And empirical research about energy consumption structure optimization in 2015 and 2020 is carried out based on the energy consumption data in Hebei Province, China during the period 1995-2013, which indicates that the energy consumption in Hebei dominated by coal cannot be replaced in the next seven years, from 2014 to 2020, when the coal consumption proportion is still up to 85.93%. Finally, the corresponding policy suggestions are put forward, according to the results of the energy structure optimization in Hebei Province.

• 한국의상디자인학회지
• /
• 제19권2호
• /
• pp.101-115
• /
• 2017

This study classified social stratum variables of adults in their 20s to 50s by subjective and objective measurements and classified leisure activities into groups to examine the conspicuous consumption of leisure apparel. A total of 365 adults in their 20s to 50s living in Daegu and the Kyungbuk area were selected considering their jobs and residences. SPSS PC+ 20.0 was used to analyze the data with frequency analysis, factor analysis, reliability examination, cluster analysis, ANOVA, Duncan-test, Scheffe-test, and ${\chi}^2-test$. The results of this study are shown as follows. First, 'Jogging/Walking' was found to be the most favorable activity in the examination of leisure sports activities among the participants and showed a difference in gender. Second, leisure activities were pastime-culture activity, sports activities, static activity, volunteering, and relaxing, and these activities were grouped into non-participant, active and passive leisure activities. Conspicuous consumption of leisure apparel was classified into personality oriented, luxury goods-oriented, and other people-oriented. Third, there was a significant difference in the sub-factors of the conspicuous consumption of leisure apparel (personality oriented, luxury goods-oriented, other people-oriented) according to the sub-factors of subjective stratum(economic power, social position, level of consumption, cultural level and overall stratum consciousness). Fourth, there was significance in the objective social stratum variable by the types of leisure activities. Significant differences were found in personality orientation, luxury goods-oriented, and other people-oriented in conspicuous consumption of leisure apparel by the types of leisure activities. Finally, there were significant differences in economic power, level of consumption, cultural level of subjective social stratum by gender, sports activities and volunteering in leisure activities, as well as other people-oriented conspicuous consumption of leisure apparel. This study also found significant differences in economic power, level of consumption and cultural level of social stratum by age, as well as other people-oriented conspicuous consumption of leisure apparel.

• 스마트미디어저널
• /
• 제12권11호
• /
• pp.18-26
• /
• 2023

빌딩에너지관리시스템(BEMS: Building Energy Management System)은 생산 및 소비되는 에너지를 효율적으로 관리하는 시스템이다. 그러나 건물 내 전력소비는 물리적인 특성상으로 인해 생산 및 소비가 일정하지 않아 안정적인 전력 공급이 필수적이다. 이에 따라 건물의 안정적인 전력 공급을 위해서는 정확한 건물 내 전력 소비 예측이 중요하다. 최근에는 시계열분석, 통계분석, 인공지능 등 다양한 방법을 이용하여 전력소비예측에 관한 연구가 진행되고 있다. 본 논문은 Prophet 모델의 장점과 단점을 분석하여 장점인 growth, seasonality, holidays를 선택하였고, Prophet 모델의 단점인 데이터의 복잡성과 외부변수(기후 데이터)의 제한성을 해결하기 위하여 GRU을 조합하여 단기(2일) 및 중기(7일, 15일, 30일) 전력소비량 예측 알고리즘을 제안한다. 실험결과, 제안한 방법은 기존 GRU 및 Prophet 모델보다 성능이 우수하였다.

• 한국태양에너지학회 논문집
• /
• 제30권4호
• /
• pp.55-62
• /
• 2010

The purpose of this study is to present various analysis result of energy consumption that is a statistical analysis of high school facilities in Korea for setting the goal of energy saving. This study enforced analysis after it provided used energy consumption for the year 2008 and general in formation from 2202 high school facilities in 16 cities in South Korea by the relevant agency. Consequently, it represents that the average energy consumption of electric power was 428.7MWh(65.7%), gas consumption for heating was 129.5MWh(19.8%), oil consumption was 84.6MWh(13.0%), district energy was 10.0MWh(1.5%) in nation after changing as unit 'kWh' only for comparison with every energy source. This result describes that consumption of electric power was large greatly and it reflects the expectation that it will climb the demand regarding this energy in the future. In additionally, it analyzed average energy consumption with $98.3kWh/m^2$ by the unit area of air-conditioning and the district which has large energy consumption was Gyeonggi-do with $115.9kWh/m^2$. Furthermore, it described the average energy consumption of $60.8kWh/m^2$ by the unit area of floor area and the average energy consumption of a student analyzed with 1157.0kWh.

• 전기학회논문지
• /
• 제61권5호
• /
• pp.777-781
• /
• 2012

In this paper, an electrical power simulation program was developed to predict the energy consumption of the electrical railway propulsion system, which considered the actual operating conditions of the electric railway vehicles. The developed program was designed to predictable the energy consumption during a virtual driving in the actual route of the virtual railway vehicles equipped with a propulsion system consisting of power conversion equipments and traction motors. In addition, the accuracy verification of the electrical power simulation program for a propulsion system was performed by using a real power consumption data, which was measured during the driving of the railway vehicles in the Gyeongui Line. In conclusion, the electrical power simulation program for a propulsion system was validated throughout a comparative investigation between the simulated values and the experimental values and the energy consumption characteristics of electric railway vehicles on the existing route or the new route will be possible to predict throughout the virtual simulation considering the driving conditions of the electric railway vehicles.