• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권11호
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• pp.5357-5381
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• 2018

Cloud computing offers a wide range of on-demand resources over the internet. Utility-based resource allocation in cloud data centers significantly increases the number of cloud users. Heavy usage of cloud data center encounters many problems such as sacrificing system performance, increasing operational cost and high-energy consumption. Therefore, the result of the system damages the environment extremely due to heavy carbon (CO2) emission. However, dynamic allocation of energy-efficient resources in cloud data centers overcomes these problems. In this paper, we have proposed Energy and Service Level Agreement (SLA) Aware Resource Allocation Heuristic Algorithms. These algorithms are essential for reducing power consumption and SLA violation without diminishing the performance and Quality-of-Service (QoS) in cloud data centers. Our proposed model is organized as follows: a) SLA violation detection model is used to prevent Virtual Machines (VMs) from overloaded and underloaded host usage; b) for reducing power consumption of VMs, we have introduced Enhanced minPower and maxUtilization (EMPMU) VM migration policy; and c) efficient utilization of cloud resources and VM placement are achieved using SLA-aware Modified Best Fit Decreasing (MBFD) algorithm. We have validated our test results using CloudSim toolkit 3.0.3. Finally, experimental results have shown better resource utilization, reduced energy consumption and SLA violation in heterogeneous dynamic cloud environment.

• 응용통계연구
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• 제34권6호
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• pp.969-977
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• 2021

본 연구에서는 Hierarchical K-means 군집화 알고리즘을 이용해 서울의 A아파트 가구들의 전력 사용량 패턴을 군집화 하였다. 차원을 축소해주면서 패턴을 파악할 수 있는 Hierarchical K-means 군집화 알고리즘은 기존 K-means 군집화 알고리즘의 단점을 보완하여 최근 대용량 전력 사용량 데이터에 적용되고 있는 방법론이다. 본 연구에서는 여름 저녁 피크 시간대의 시간당 전력소비량 자료에 대해 군집화 알고리즘을 적용하였으며, 다양한 군집 개수와 level에 따라 얻어진 결과를 비교하였다. 결과를 통해 사용량에 따라 패턴이 군집화 됨을 확인하였으며, 군집화 유효성 지수들을 통해 이를 비교하였다.

• 동아시아식생활학회지
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• 제6권3호
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• pp.403-410
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• 1996

This survey was carried out to investigate the usage of traditional fermented foods. Questionaries were answered by 283 female adults ranging from 20 to 60 ages in Daegu city and Kyungbuk province. 39.72% of total subjects answered that they made Meju and soybean paste by themselves. There were significant differences according to income, residential area, deucation level, and family size, In the results of the preference and consumption study on traditional soybean pastes, Kimchi and salted sea foods, preference of salted sea foods was the highest, whereas the consumption of salted sea foods was the lowest. The recognition of soybean pastes and traditional foods was remarkably low. However the consumption frequency of traditional fermented foods and the recognition of soybean pastes and traditional foods were significantly increased with age.

• 한국가정과교육학회지
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• 제24권2호
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• pp.87-99
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• 2012

본 연구는 청소년의 학교 소비자교육과 휴대전화 소비행동, 휴대전화 소비행동과 휴대전화 소비생활 만족도의 관계를 살펴보아 청소년들의 합리적인 소비생활을 유도할 수 있는 방안을 모색하고 학교 소비자교육의 개선을 위한 방안을 제시하고자 하였다. 설문지는 서울 및 수도권 소재 중학교에 재학 중인 중학교 2학년을 대상으로 실시하여 총 430부를 SPSS 18.0 프로그램을 이용하여 분석하였다. 본 연구의 결과는 다음과 같다. 첫째, 정보분석 및 구매의사결정에 대한 교육이 '합리적 구매와 능동적 문제해결' 행동에 영향을 미치고, 소비문화에 대한 교육이 '윤리적 사용, 능동적 문제해결' 행동에 영향을 미쳤다. '문제해결 및 권리와 책임'에 대한 교육은 소비행동에 어떠한 영향도 미치지 않았고, 인지수준도 상대적으로 가장 낮게 나타났다. 둘째, 휴대전화의 윤리적 사용행동은 '관계만족도'에 영향을 미치고, 합리적 구매행동과 능동적 문제해결행동은 '활용만족도'에 영향을 미치는 것으로 나타났다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2006년도 추계학술대회 논문집
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• pp.719-722
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• 2006

At present, In korea one of big characteristics in electricity power market is unique seller but in the near future competitions are expected in the market. Another big trend is development of IT technology. Through IT, remote inspection for power usage are possible. So huge power consumer like KORAIL it is necessary to investigate power consumption pattern. This paper presents load consumption pattern for representative substation and billing system database program. Base on the substation annual power usage data, the characteristic of the substation power consumption are investigated and effective electrical billing system are compared each other. The database program was properly designed to examine the billings.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 제38회 하계학술대회
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• pp.1163-1164
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• 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 power rate definition program based on billing system database and also basic power rate optimization method. 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.

• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제5권11호
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• pp.411-418
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• 2016

상황인지 어플리케이션은 다양한 센서를 이용하여 상황을 추론하므로 전력 소비가 크고 이에 대한 상세한 평가 결과를 제공하는 연구는 미비하였다. 또한 기존의 전력 소비에 대한 정보는 사용자의 사용 패턴을 고려하지 못하고 전체적인 소비량만을 제공하거나, 센서가 사용하는 전력에 대한 정보를 구분하여 제공하지 못하였다. 그렇기 때문에 개발자들이 전력 소비를 고려하여 어플리케이션을 개발하는 데 유의미한 정보가 제공되지 않았다는 문제점이 있다. 개발자들에게 상황인지 어플리케이션이 사용하는 모바일 디바이스의 컴포넌트가 소비하는 전력에 대한 상세한 평가 정보가 제공된다면, 전력 소비를 고려하여 상황인지 어플리케이션의 개발이 가능해 질 것이다. 본 논문에서는 사용자의 사용 패턴을 고려하여 상황인지 어플리케이션의 작동 시 사용되는 다양한 컴포넌트가 소비하는 전력을 평가할 수 있는 BMT(Bench Mark Test) 모델을 제안하고, 이를 통한 상세한 평가 결과를 개발자들에게 제공하고자 한다.

• 전기학회논문지
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• 제65권1호
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• pp.16-22
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• 2016

This paper addresses the load usage scheduling in the HEMS for residential power consumers. The HEMS would lead the residential users to change their power usage, so as to minimize the cost in response to external information such as a time-varying electricity price, the outside temperature. However, there may be a consumer's inconvenience in the change of the power usage. In order to improve this, it is required to understand the pattern of load usage according to the external information. Therefore, this paper suggests a methodology to model the load usage pattern, which classifies home appliances according to external information affecting the load usage and models the usage pattern for each appliance based on a copula function representing the correlation between variables. The modeled pattern would be reflected as a constraint condition for an optimal load usage scheduling problem in HEMS. To explain an application of the methodology, a case study is performed on an electrical water heater (EWH) and an optimal load usage scheduling for EHW is performed based on the branch-and-bound method. From the case study, it is shown that the load usage pattern can contribute to an efficient power consumption.

• 융합경영연구
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• 제9권5호
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• pp.39-50
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• 2021

Purpose: This study is to analyze the changes of consumption patterns to diagnose the economic impacts on consumers' market during COVID-19, and to suggest implications to overcome the new social and economic crisis of Jeju Island. Research design, data, and methodology: We collected a set of credit card transaction records issued by BC Card Company from merchants in Jeju Special Self-Governing Province for past 4 years from 2017 to 2020 from the Jeju Data Hub run by Jeju Special Self-Governing Province. The big data contains details of approved credit card transactions including the approval numbers, amount, locations and types of merchants, time and age of users, etc. The researchers summed up amount in monthly basis, transforming big data to small data to analyze the changes of consumption before and after COVID-19. Results: Sales fell sharply in transportation industries including airlines, and overall consumption by age group decreased while the decrease in consumption among the seniors was relatively small. The sales of Yeon-dong and Yongdam-dong in Jeju City also fell significantly compared to other regions. As a result of the paired t-test of all 73 samples in Jeju City, the p-value of the mean consumption of the credit card in 2019 and 2020 is significant, statistically proven that the total consumption amount in the two years is different. Conclusions: We found there are sensitive spots that can be strategically approached based on the changes in consumption patterns by industry, region, and age although most of companies and small businesses have been hit by COVID-19. It is necessary for local companies and for the government to be focusing their support on upgrading services, in order to prevent declining sales and job instability for their employees, creating strategies to retain jobs and prevent customer churn in the face of the crisis. As Jeju Province is highly dependent on the tertiary industry, including tourism, it is suggested to create various strategies to overcome the crisis of the pandemic by constantly monitoring the sales trends of local companies.

• 한국통신학회논문지
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• 제28권11B호
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• pp.1007-1015
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• 2003

In this Paper, we propose a method of determining the price for the elastic traffic in the current or future Internet services. First, we investigate the behavior in the consumption of bandwidth of elastic traffic in IP network. Next, we propose a new method to relate the bandwidth usage with the pricing for the elastic traffic, which is based partially or fully on the usage rate of the network bandwidth. Next, we propose an optimal charging function for elastic traffic, which is applicable to any Internet services. Finally, we will illustrate the implication of the work via simple numerical experiments.