• 전기전자학회논문지
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• 제23권4호
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• pp.1373-1380
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• 2019

에너지의 생산 효율성을 증가시키기 위해 최근 스마트그리드 기술 중 지능형 검침 시스템(AMI, advanced metering infrastructure)의 개발이 활발히 진행되고 있다. 전력 소비 데이터를 분석하고 소비 패턴을 예측하는 일은 AMI에서 핵심적인 부분이다. 본 논문에서는 수집된 전력 소비 데이터를 분석하고 발생할 수 있는 오류들을 정리하였으며 소비 패턴을 월별로 k-means 군집화 알고리즘을 사용하여 분석하였다. 또한 deep neural network를 이용하여 소비 패턴을 예측하였는데, 가구별 하루 전력 사용량 예측의 어려움을 극복하기 위하여 전력 사용량을 100개의 군집으로 분류하여 이 군집의 하루 평균으로 다음날 군집의 평균을 예측하였다. 실제 AMI에서의 전력 데이터를 사용하여 오류들을 분석하였으며 군집화 방법을 도입하여 성공적으로 전력 소비 예측이 가능하였다.

• 한국의류학회지
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• 제34권7호
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• pp.1149-1161
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• 2010

This study identifies the dimensions of cosmetics consumption values and the differences in cosmetics brand selection through a cosmetics consumption value group and by product type. The subjects of the study were females over age 20 living in Seoul and Gyeonggi Province between January and February 2008; 427 questionnaires were used for analysis. For data analysis the SPSS 17.0 statistical program was used, and principal component analysis, factor analysis using Varimax rotation, Cronbach's ${\alpha}$ reliability testing, cluster analysis, ANOVA test, and Duncan test were conducted. The results and conclusions of this study are as follows. The dimensions of cosmetics consumption values were found to be the pleasure value, the fashion value, the function value, the brand ostentation value, and the appearance ostentation value. Five types of groups by factor were identified: the group seeking function, the group seeking fashion and brand ostentation, the group seeking pleasure, the group seeking appearance and brand ostentation, and the indifferent group. Second, The group attaching importance to functionality was more likely to select high-priced brands while the group attaching importance to brand awareness were more likely to seek foreign brands, irrespective of product type. As far as base and color cosmetics are concerned, the group attaching importance to pleasure was more likely to select low, medium, and high priced foreign brands, as well as low and medium priced domestic brands. As for body products, the group attaching importance to fashion and brand awareness tended to select low, medium, and high priced domestic brands, as well as high priced foreign brands. By simultaneously purchasing high, medium, and low priced brands, these groups display an ambivalent consumption pattern. This study identified the differing dimensions around cosmetics consumption values and cosmetic brand selection. The research findings helps cosmetic companies set product prices and contributes to cosmetic marketing strategies.

• Asian Pacific Journal of Cancer Prevention
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• 제16권1호
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• pp.139-144
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• 2015

Background: The work force in industries are at risk of developing unduly high rates of health and behaviour related problems including abuse of alcohol, betel nut and cigarette (alcohol, betel nut and cigarette consumption). This study describes the relationships between alcohol, betel nut and cigarette consumption and health promoting behaviour among industrial workers. Materials and Methods: A cross sectional survey was conducted on workers in various industries of Ghaziabad city with concerned authority permission. A sample size of 732 workers was calculated based on pilot study. Through Simple random sampling 732 workers in 20 to 50 years age group with informed consent were interviewed through structured, pretested, validated questionnaire in vernacular language by one calibrated investigator. Data on socio demography, alcohol, betel nut and cigarette consumption pattern and health behaviour were collected. The association between health promoting behaviour and alcohol, betel nut and cigarette consumption was analysed by Logistic regression and Chi-square test through SPSS 16 at p<0.05 and 95%CI as significant. Results: Total prevalence of alcohol, betel nut and cigarette consumption in study population was 88%. The prevalence of individual alcohol, betel nut and cigarette consumption were 82%, 68% and 79% respectively. Combined alcohol, betel nut and cigarette prevalence in study population was 58%. Alcohol and cigarette users were significantly higher (p<0.001) in 30 to 40 years age group with lower level of education having poor attitude towards health promoting behaviour, poor oral hygiene practices and rare indulgence in regular physical exercise. Conclusions: This study stimulate further research on exploring methods to prevent initiation of health risk behaviour and promote healthy behaviour with cessation help for the current alcohol, betel nut and cigarette users.

• 한국식품영양학회지
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• 제29권2호
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• pp.275-282
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• 2016

Recently, increased caffeine intake has led to an increase in caffeine addiction and withdrawal symptoms. Coffee is surreptitiously consumed in as an additive to milk and caramel. There are few studies on how coffee affects the health of modern people. The purpose of this study is to determine the efficacy and side effects of coffee by awareness of coffee consumption patterns among college students, who are the principal consumers. A survey was conducted from May 11 to 17, 2015 and 302 questionnaires were analyzed. The respondents were 140 men (46.4%) and 162 women (53.6%). In terms of coffee additives, 151 (50.0%) respondents chose 'americano' and 111 (36.8%) 'variation'. The frequency of coffee intake and sleep time for college students was negatively correlated, with the correlation coefficient of -0.145 and significance probability of 0.019. The group that was 'positively' aware of the principal ingredients of coffee had a higher level of academic training than those with 'negative' awareness (p=0.000). Women recognized a larger number of side effects than men: 1.99 and 1.36, respectively, on average (p=0.001). 'Time for consumption' had statistically significant effects on the side effects of coffee consumption: consumption before/after lunch, before/after supper and before going to bed led to 0.4 times (p=0.048) and 0.3 times (p=0.023) more side effects, respectively, than consuming coffee after getting up and before/ after breakfast. Excessive caffeine intake through coffee led to limited sleep time and poorer learning concentration. The guidelines for proper coffee consumption should be created to help students consume coffee properly so that it will not affect sleep, learning concentration or adversely affect health.

• Advances in Computational Design
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• 제7권2호
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• pp.113-128
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• 2022

Water consumption is strongly affected by numerous factors, such as population, climatic, geographic, and socio-economic factors. Therefore, the implementation of a reliable predictive model of water consumption pattern is challenging task. This study investigates the performance of predictive models based on multi-layer perceptron (MLP), multiple linear regression (MLR), and support vector regression (SVR). To understand the significant factors affecting water consumption, the stepwise regression (SW) procedure is used in MLR to obtain suitable variables. Then, this study also implements three predictive models based on these significant variables (e.g., SWMLR, SWMLP, and SWSVR). Annual data of water consumption in Thailand during 2006 - 2015 were compiled and categorized by provinces and distributors. By comparing the predictive performance of models with all variables, the results demonstrate that the MLP models outperformed the MLR and SVR models. As compared to the models with selected variables, the predictive capability of SWMLP was superior to SWMLR and SWSVR. Therefore, the SWMLP still provided satisfactory results with the minimum number of explanatory variables which in turn reduced the computation time and other resources required while performing the predictive task. It can be concluded that the MLP exhibited the best result and can be utilized as a reliable water demand predictive model for both of all variables and selected variables cases. These findings support important implications and serve as a feasible water consumption predictive model and can be used for water resources management to produce sufficient tap water to meet the demand in each province of Thailand.

• 한국생활과학회지
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• 제8권1호
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• pp.219-226
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• 1999

The survey was conducted to investigate the consumption aspects of commercial kimchi and the future pattern of kimchi consumption. The college students(473) were randomly selected from six universities in Taejon. Ninety seven percent of students had taken the commercial kimchi. They chose kimchi manufactured by the famous company(62.4%), merchant in market(16.9%), and agricultural corporation(14.4%). In purchasing the commercial kimchi, qualty(76.0%) was considered as the most important factor and then price(13.1%), brand name(5.1%). The main reason for disliking commercial kimchi was indicated as 'different taste from home-made' by the male and 'additives added in kimchi' by the female(p<0.01). The maintenance of aging condition was believed the most essential factor to increase the consumption of commercial kimchi. Two thirds of the subjects anticipated to take home-made kimchi after marriage. Half of them replied to want to take kimchi made by traditional method, even though to buy the sauce for kimchi-making sold in market. More female students were willing to purcase the sauce for kimchi-making than the male(p<0.01).

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2009년도 추계학술대회 논문집
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• pp.279-283
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• 2009

Distributed generation(DG) of combined cooling, heat. and power(CCHP)has been gaining momentum in recent year as efficient, secure alternative for meeting increasing energy demands. This paper presents the energy performance of microturbine CCHP system equipped with an absorption chiller by modelling it in hospital building. The orders of study were as following. 1)The list and schedule of energy consumption equipment in hospital were examined such as heating and cooling machine, light etc. 2) Annual report of energy usage and monitoring data were examined as heating, cooling, DHW, lighting, etc. 3) The weather data in 2007 was used for simulation and was arranged by meteorological office data in Daejeon. 4) Reference simulation model was built by comparison of real energy consumption and simulation result by TRNSYS and ESP-r. The energy consumption pattern of building were analyzed by simulation model and energy reduction rate were calculated over the cogeneration. As a result of this study, power generation efficiency of turbine was about 30% after installing micro gas turbine and lighting energy as well as total electricity consumption can be reduced by 40%. If electricity energy and waste heat in turbine are used, 56% of heating energy and 67% of cooling energy can be reduced respectively, and total system efficiency can be increased up to 70%.

• 한국의류학회지
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• 제21권5호
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• pp.889-902
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• 1997

During the past three decades, there have been drastic changes in many fields in Korea. Social and economic changes which occurred meantime have influenced clothing expenditures of Korean consumers. The purpose of this study was to investigate the change of clothing expenditures and its determinants in Korea during the period of 1965 to 1993. In particular, the impacts of income and price on clothing expenditures were examined using data from the National Acccounts published by the Bank of Korea as well as Urban Household Economy Survey published by the Bureau of National Statistics. Per-person consumption expenditures for clothing and shoes (CSX) in permanent price generally increased in accordance with the increase of income since 1965. From 1978 to 1984, however, there was a slight decrease in clothing expenditures in spite of the continuous increase in income, due to the depression of national economy. The proportion of CSX in total consumer spendings has decreased continuously since 1978. In recent years, CSX take only 5% of national aggregate consumption expenditures, while consumption expenditures of urban consumers is 8%. The expenditures for traditional clothing and fabrics for home- sewing decreased most. The results of this study should provide a broader view of the pattern of clothing consumption by Korean consumers. Moreover, the findings can suggest how social and economic changes of a society affect consumers' clothing expenditures.

• JSTS:Journal of Semiconductor Technology and Science
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• 제13권5호
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• pp.443-450
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• 2013

This paper propose a new ROM data encoding method that takes into account of a sequential access pattern to reduce the power consumption in ROMs used in applications such as FIR filters that access the ROM sequentially. In the proposed encoding method, the number of 1's, of which the increment leads to the increase of the power consumption, is reduced by applying an exclusive-or (XOR) operation to a bit pair composed of two consecutive bits in a bit line. The encoded data can be decoded by using XOR gates and D flip-flops, which are usually used in digital systems for synchronization and glitch suppression. By applying the proposed encoding method to coefficient ROMs of FIR filters designed by using various design methods, we can achieve average reduction of 43.7% over the unencoded original data in the power consumption, which is larger reduction than those achieved by previous methods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권7호
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• pp.2302-2324
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• 2014

Cluster-based wireless sensor network (WSN) can significantly reduce the energy consumption by data aggregation and has been widely used in WSN applications. However, due to the intrinsic many-to-one traffic pattern in WSN, the network lifetime is generally deteriorated by the unbalanced energy consumption in a cluster-based WSN. Therefore, energy efficiency and network lifetime improvement are two crucial and challenging issues in cluster-based WSNs. In this paper, we propose a Non-Uniform Node Distribution (NUND) scheme to improve the energy efficiency and network lifetime in cluster-based WSNs. Specifically, we first propose an analytic model to analyze the energy consumption and the network lifetime of the cluster-based WSNs. Based on the analysis results, we propose a node distribution algorithm to maximize the network lifetime with a fixed number of sensor nodes in cluster-based WSNs. Extensive simulations demonstrate that the theoretical analysis results determined by the proposed analytic model are consistent with the simulation results, and the NUND can significantly improve the energy efficiency and network lifetime.