• 한국인터넷방송통신학회논문지
• /
• 제21권3호
• /
• pp.175-181
• /
• 2021

본 논문은 단기 에너지 사용량 예측을 위해 인공지능 기반의 접근법에 대해 분석한다. 본 논문에서는 단기 에너지 사용량 예측 기술에 자주 활용되는 지도학습 알고리즘의 한계를 개선하기 위해 강화학습 알고리즘을 활용한다. 지도학습 알고리즘 기반의 접근법은 충분한 성능을 위해 에너지 사용량 데이터뿐만 아니라 contextual information이 필요하여 높은 복잡성을 가진다. 데이터와 학습모델의 복잡성을 개선하기 위해 다중 에이전트 기반의 심층 강화학습 알고리즘을 제안하여 에너지 사용량 데이터로만 에너지 사용량을 예측한다. 공개된 에너지 사용량 데이터를 통해 시뮬레이션을 진행하여 제안한 에너지 사용량 예측 기법의 성능을 확인한다. 제안한 기법은 이상점의 특징을 가지는 데이터를 제외하고 실제값과 유사한 값을 예측하는 것을 보여준다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제7권9호
• /
• pp.2173-2193
• /
• 2013

In order to reduce the distribution cost of sensor nodes, a mobile sensor deployment has been proposed. The mobile sensor deployment can be solved by finding the optimal layout and planning the movement of sensor nodes with minimum energy consumption. However, previous studies have not sufficiently addressed these issues with an efficient way. Therefore, we propose a new deployment approach satisfying these features, namely a tree-based approach. In the tree-based approach, we propose three matching schemes. These matching schemes match each sensor node to a vertex in a rake tree, which can be trivially transformed to the target layout. In our experiments, the tree-based approach successfully deploys the sensor nodes in the optimal layout and consumes less energy than previous works.

• IEIE Transactions on Smart Processing and Computing
• /
• 제5권4호
• /
• pp.274-282
• /
• 2016

This paper proposes code optimization techniques to reduce energy consumption of complex multimedia applications in a hybrid memory system with volatile dynamic random access memory (DRAM) and non-volatile spin-transfer torque magnetoresistive RAM (STT-MRAM). The proposed approach analyzes read/write operations for variables in an application. Based on the profile, variables with a high read operation are allocated to STT-MRAM, and variables with a high write operation are allocated to DRAM to reduce energy consumption. In this paper, to optimize code for real-life complicated applications, we develop a profiler, a code modifier, and compiler/link scripts. The proposed techniques are applied to a Fast Forward Motion Picture Experts Group (FFmpeg) application. The experiment reduces energy consumption by up to 22%.

• Asian Journal of Atmospheric Environment
• /
• 제8권1호
• /
• pp.48-58
• /
• 2014

Energy efficiency is vital to improve energy security, environmental and social sustainability, and economic performance. Improved energy efficiency also mitigates climate change by lowering greenhouse gas (GHG) emissions. Buildings are the single largest industrial consumer of energy and are therefore key to understanding and analyzing energy consumption patterns and the opportunities for saving energy at the district level in urban environments. This study focused on two representative boroughs in the major metropolitan area of Seoul, South Korea as a case study: Gandong-gu, a typical residential district, and Jung-gu, a typical commercial district. The sources of the energy supplied to the boroughs were determined and consumption patterns in different industry sectors in Seoul used to identify current patterns of energy consumption. The study analyzed the energy consumption patterns for five different building categories and four different sectors in the building using a bottom-up energy modeling approach. Electricity and gas consumption patterns were recorded for different building categories and monthly ambient temperatures in the two boroughs. Finally, a logarithmic equation was developed to describe the correlation between commercial activity and cooling energy intensity in Jung-gu, the commercial district. Based on these results, recommendations are made regarding the current energy consumption patterns at the district level and government energy policies are suggested to reduce energy consumption and, hence, greenhouse gas emissions, in both commercial and residential buildings.

• 산업경영시스템학회지
• /
• 제27권3호
• /
• pp.90-96
• /
• 2004

The objective of this study was to develop a model for safe work load based on a physiological model of metabolic energy of manual material handling tasks. Fifteen male subjects voluntarily participated in this study. Lifting activities with four different weights, 0, 8, 16, 24kg, and four different working frequencies (2, 5, 8, 11 lifts/min) for a lifting range from floor to the knuckle height of 76cm were considered. Oxygen consumption rates and heart rates were measured during the performance of sixteen different lifting activities. Simplified predictive equations for estimating the oxygen consumption rate and the heart rate were developed. The oxygen consumption rate and the heart rate could be expressed as a function of task variables; frequency and the weight of the load, and a personal variable, body weight, and their interactions. The coefficients of determination ($r^2$) of the model were 0.9777 and 0.9784, respectively, for the oxygen consumption rate and the heart rate. The model of oxygen consumption rate was modified to estimate the work load for the given oxygen consumption rate. The overall absolute percent errors of the validation of this equation for work load with the original data set was 39.03%. The overall absolute percent errors were much larger than this for the two models based on the US population. The models for the oxygen consumption rate and for the work load developed in this study work better than the two models based on the US population. However, without considering the biomechanical approach, the developed model for the work load and the two US models are not recommended to estimate the work loads for low frequent lifting activities.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제7권8호
• /
• pp.1825-1842
• /
• 2013

Rapid growth of the IT industry has led to significant energy consumption in the last decade. Data centers swallow an enormous amount of electrical energy and have high operating costs and carbon dioxide excretions. In response to this, the dynamic consolidation of virtual machines (VMs) allows for efficient resource management and reduces power consumption through the live migration of VMs in the hosts. Moreover, each client typically has a service level agreement (SLA), this leads to stipulations in dealing with energy-performance trade-offs, as aggressive consolidation may lead to performance degradation beyond the negotiation. In this paper we propose a heuristic based resource allocation of VM selection and a VM allocation approach that aims to minimize the total energy consumption and operating costs while meeting the client-level SLA. Our experiment results demonstrate significant enhancements in cloud providers' profit and energy savings while improving the SLA at a certain level.

• 정보처리학회논문지D
• /
• 제16D권6호
• /
• pp.871-880
• /
• 2009

임베디드 소프트웨어의 복잡성 및 대형화로 인하여 기능적 요구사항뿐만 아니라 소모전력 관리와 같은 비기능적 요구사항이 중요시되고 있다. 본 연구에서는 소스 코드 기반의 소모 전력을 분석하는 기존의 접근 방법과 달리 UML 2.0 기반의 모델을 중심으로 하는 임베디드 소프트웨어의 소모전력 분석 기법을 제시한다. 특히 소모 전력 분석을 위해 요구되는 에너지 컴포넌트에 대한 라이브러리 구축에 대하여 제시한다. 제시하는 라이브러리는 모델 기반의 소모전력 분석을 가능하도록 지원할 뿐만 아니라, 임베디드 응용의 변경에 따른 라이브러리 적용이 쉽게 이루어질 수 있다는 장점을 제공한다.

• 보건행정학회지
• /
• 제17권3호
• /
• pp.106-128
• /
• 2007

The Korean health care system is under great controversy. Over the last 30 years, main goal of health policies was to pursue equal access of health care services. However, another goal of health policies laid on efficiency and Quality of care, it had lower priorities. Superficially, controversy stems from priority setting among goals of health care system, equity, efficiency and quality. At a deeper level, arguments arise from disagreement and confusion about the values of Korean health care system. One of the value spectrums believes that health care is the basic right of human beings, therefore it should be produced and distributed on need approach, and needs are known to be decided by professionals. If we accept need approach, health care is a pubic good. Another value of spectrums considers that health care should be distributed on demand approach. Demand approach means that health care is a consumption good on the positive economics, while normative judgement believes that health care is a public good. In equity aspect, health care is considered as a public good. Over the last several years, some of scholars proposed health care reform based on the principle of competition which is based on demand approach. Others argue that the competition principle based on demand approach is not appropriate for the reform proposal, because health care has to be approached on need base. If we do not make explicit values we should adopt, consensus building for reform is nearly impossible. From this perspective, this article will review an ideology and reality in health policies in Korea.

• 한국의류학회지
• /
• 제33권7호
• /
• pp.1050-1060
• /
• 2009

This study develops a scale for consumer clothing satisfaction based on Lee et al. 's (2002) five stages of the consumer life cycle (acquisition, possession, consumption, maintenance, and disposal). Data were gathered by surveying college students using convenience sampling, and 419 questionnaires were used in the statistical analysis. In analyzing the data, an exploratory factor analysis and a confirmatory factor analysis using a structural equation modeling were conducted. The proposed scale, which identified various sources of satisfaction and dissatisfaction associated with the 5 consumption cycles of clothing, suggests some guidelines for marketers in enhancing consumer clothing satisfaction across consumption stages. The model test for the scale also identified that consumption satisfaction had the greatest effect on consumer clothing satisfaction showing the strongest loading and squared multiple correlation.

• 자원ㆍ환경경제연구
• /
• 제20권2호
• /
• pp.335-356
• /
• 2011

본 연구에서는 Markowitz (1952)의 평균-분산 모형과 지배원리에 입각하여 원유, 석탄, 천연가스로 대표되는 화석에너지원의 최적 소비조합을 구축하려 하였다. 이를 위해 1달러당 열량으로 정의된 화석에너지원들의 편익변동을 동태은닉공통인자 모형을 이용하여 동행부분과 개별 에너지원의 특이적 수급상황에 기초한 변동으로 분해한 후, 그 결과에 기초하여 최적 화석에너지원의 최적 소비조합을 구성하였다. 분석결과, 평균-분산 모형에서 최적 소비조합을 의미하는 효율적 프론티어 선상의 소비조합들에서는 사회적으로 도달 가능한 최저 수준의 원유소비 비중을 유지하면서 석탄보다는 천연가스의 소비비중을 높여야 하는 것으로 나타났다. 이와 같은 결과는 현재 우리나라에서 추구하고 있는 원유 및 석탄의 소비비중 축소전략과도 일치하는 결과라 할 수 있으며, 원유소비의 비중축소가 화석에너지원의 소비로부터 얻을 수 있는 편익향상과 함께 편익변동에 따르는 경제활동의 불안정성을 축소시킬 수 있는 방법임을 지적하는 것이라 할 수 있다.