• 가정과삶의질연구
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• 제23권3호
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• pp.63-76
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• 2005

Using the data from the Family Income & Expenditure Survey, this study investigated (1)the factors determining the level of burden of the private educational expenditure in households; (2) the influences of the level of the burden of private educational expenditure on the other household expenditures. For the analysis of data Chi-square, GLM, Multinomial legit, and Seemingly Unrelated Regression were applied. The major findings were: (1) The factors associated with the burden of private educational expenditure were the number of students by each of the school levels, housing tenure, location of residence, educational attainment of householder; (2) Households with the lower level of burden of the private educational expenditure adjusted the allocation of the expenditure shares of food, utility, and transportation and did not reduce the levels of consumption. Households with the higher level of burden of the private educational expenditure adjusted the extensive ranges of the household expenditure shares and reduced the levels of consumption.

• International Journal of Computer Science & Network Security
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• 제23권6호
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• pp.49-58
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• 2023

Renewable energy is not a new terminology. One of the fastest growing renewable energies is solar energy. The implementation of solar energy provides several advantages including the reduction of some of the environmental risks of fossil fuel consumption. This research elaborated the importance of the adaption of solar energy by developing a spatial decision support system (SDSS), while the Residential Solar Energy Adoption (RSEA) is an instantiation artifact in the form of an SDSS. As a GIS web-based application, RSEA allows stakeholders (e.g., utility companies, policymakers, service providers homeowners, and researchers) to navigate through locations on a map interactively. The maps highlight locations with high and low solar energy adoption potential that enables decision-makers (e.g., policymakers, solar firms, utility companies, and nonprofit organizations) to make decisions. A combined qualitative and quantitative methodological approach was used to evaluate the application's usability and user experience, and results affirmed the ability of the factors of utility, usefulness, and a positive user experience of the residential solar energy adoption of spatial decision support system (RSEA-SDSS). RSEA-SDSS in improving the decision-making process for potential various stakeholders, in utility, solar installations, policy making, and non-profit renewable energy domains.

• 한국생활과학회지
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• 제20권3호
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• pp.677-689
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• 2011

The principal objective of this study was to evaluate the consumption behavior and perceptions of environmentally-friendly agricultural products (EAPs) according to the lifestyles of housewives in the Jeonbuk area, Korea. Self-administered questionnaires were collected from 267 housewives. Frequency analysis, chi-square, one-way ANOVA, factor analysis, and cluster analysis were used to analyze the data. Three clusters were obtained from the cluster analysis of LOHAS and wellbeing-related lifestyle: Cluster 1 "LOHAS-pursuit group", Cluster 2 "wellbeing-progress group", Cluster 3 "Utility-pursuit group". Of the housewives who were of LOHAS-pursuit group, about 50% were over 40 years old and had a professional job with a high household income. They had a high level of understanding about EAPs and purchased the highest percentage of EAPs among the groups. The housewives who were of the wellbeing-progress group, over 83% were between the ages of 30 and 40. Their consumption behaviors were very similar with that of the LOHAS-pursuit group, but the household income was lower. Of the housewives who were of the utility-pursuit group, about 63% under 30 years old. Their household income and level of understanding about EAPs were the lowest among the groups. They less interest in EAPs in comparison with other groups. For housewives' to choose EAPs properly, information and consumer education on these products, according to their lifestyles is necessary.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권7호
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• pp.2631-2649
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• 2021

Device-to-Device (D2D) communication is one of the enabling technologies for 5G networks that support proximity-based service (ProSe) for wireless network communications. This paper proposes a power control algorithm based on the Nash equilibrium and game theory to eliminate the interference between the cellular user device and D2D links. This leadsto reliable connectivity with minimal power consumption in wireless communication. The power control in D2D is modeled as a non-cooperative game. Each device is allowed to independently select and transmit its power to maximize (or minimize) user utility. The aim is to guide user devices to converge with the Nash equilibrium by establishing connectivity with network resources. The proposed algorithm with pricing factors is used for power consumption and reduces overall interference of D2Ds communication. The proposed algorithm is evaluated in terms of the energy efficiency of the average power consumption, the number of D2D communication, and the number of iterations. Besides, the algorithm has a relatively fast convergence with the Nash Equilibrium rate. It guarantees that the user devices can achieve their required Quality of Service (QoS) by adjusting the residual cost coefficient and residual energy factor. Simulation results show that the power control shows a significant reduction in power consumption that has been achieved by approximately 20% compared with algorithms in [11].

• 한국인터넷방송통신학회논문지
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• 제22권1호
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• pp.59-63
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• 2022

근래에 와서 유틸리티들을 무선으로 원격제어 하는 스마트 팩토리 무선 이동 통신 기술에 대한 연구가 활발히 진행되고 있다. Wi-SUN(Wireless Smart Utility Network) 얼라이언스에서는 EEE802.15.4g/e에 기반한 새로운 무선통신 표준화 규격으로 스마트팩토리와 같은 플랫폼 구축에 적합한 Wi-SUN 프로토콜 구조를 제시하였다. IEEE802.15.4e의 CSL(Coordinated Sampled Listening) 모드 MAC(Media Access Control)의 전력소모 측면의 성능을 분석하고 효율적 운용을 위한 고려 사항을 살펴본다. CSL-MAC은 비동기 방식으로 수신단에서 전력소모를 획기적으로 줄일 수는 있지만 송신단에서는 과도한 웨이크업시퀀스로 전력소모가 발생하는 단점을 가지는 것을 알 수 있었다.

• 디지털융복합연구
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• 제18권1호
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• pp.103-109
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• 2020

본 연구는 공유경제서비스의 일환으로 O2O서비스에 대해 긍정적인 측면만 있는 것이 아니라 기존기업 및 노동시장에 야기되는 최근 갈등 상황에서, 소비자의 O2O서비스 만족도와 추천의도에 소비자의 윤리적 자아정체성과 중개플랫폼의 신뢰성, 서비스효용이 미치는 영향에 대해 살펴보고자 한다. 즉 타인이나 사회의 책임으로부터 능동적이며 협력을 기반으로 하는 공유경제서비스의 기본이념과 연결되는 소비관점으로, 이전 연구들과는 다르게 소비자의 윤리적 자아정체성을 살펴보는데 본 연구의 의의가 있겠다. 이를 위해 최근 이슈화가 되고 있는 공유경제서비스의 한 예인 카셰어링 서비스를 중심으로 149명을 대상으로 자료를 수집하고 분석하고 연구문제를 검증하기 위해 회귀분석을 실행하였다. 분석결과, 소비자의 윤리적 자아정체성과, 중개플랫폼의 신뢰성, 서비스효용 모두 서비스만족도에 영향을 미치며, 추천의도에서는 중개플랫폼의 신뢰성과 쾌락적 효용만이 긍정적인 영향을 미치는 것으로 나타났다. 본 연구는 공유경제서비스에 대한 윤리적 소비와 중개플랫폼의 신뢰성과 같은 소비자의 윤리적, 사회적 관점을 중점으로 각 요인들의 영향력을 살펴보았다.

• 패션비즈니스
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• 제18권4호
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• pp.97-113
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• 2014

This study investigates consumer's traits of market segmentation based on the apparel benefits. The subjects were 302 college students living in Yunnam, China. The mean, ANOVA, factor analysis, Duncan test, and K-means cluster analysis were used for statisticals analysis. The results of this study are as follows. The college students were classified, into six subdivisions, according to the apparel benefits by cluster analysis: indifference group, utility pursuit group, hedonic/brand pursuit group, individuality pursuit group, social recognition/fashion pursuit group, and pursuit benefits-minded group. In the factors of happiness-pursuing and life-centered of materialism, significant differences were found according to the groups of apparel benefits, and all factors of symbolic consumption and brand loyalty were found to have significant differences according to the groups of apparel benefits. The evaluation criteria of clothing were significantly different, depending on apparel benefits subdivision in criteria of aesthetic, socio-psychological, and utility. The use of information was shown to have significant differences, according to the groups of apparel benefits. The study results are highly expected to be utilized as useful sources in marketing plans for the midwest of China.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권5호
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• pp.2491-2508
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• 2019

This research investigates the media consumers' behavior with behavioral economics perspective, especially regarding TV content viewers' behavior; how do online communications influence TV viewers' decision when choosing a new TV content among options. We focus on quantity and attribute of comments or reactions on the online news articles. We analyze that online communications data, which were generated before the first broadcast, affect the TV content consumers' choice for a new TV series. Here we identify a predicted utility, experienced utility and distinction bias in TV media consumption to find the effectiveness of the first viewing choice on whole TV series' episodes. To avoid the crucial influence by exogenous factors, such as season and social issue, the test was done with specific conditions. This research found that the total number of reactions to the comments by itself positively affects the audiences' decision-making behavior for a new TV content choice. This influence was regardless of favor/ non-flavor reactions. This study contributes to the literature on media economics and management by exploring the media content users' consuming behavior and making a first step for finding an important influencer on the media content consumption.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.1330-1333
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• 2004

The methodology for modeling building energy consumption is well established for energy saving calculation in the temperate zone both for performance-based energy retrofitting contracts and measurement and verification (M&V) projects. Mostly, statistical regression models based on utility bills and outdoor dry-bulb temperature have been applied to baseline monthly and annual whole building energy use. This paper presents the application of neural networks (NN) to model landlord energy consumption of commercial buildings in Singapore. Firstly, a brief background information on NN and its application on the building energy research is provided. Secondly, five commercial buildings with various characteristics were selected for case studies. Monthly mean outdoor dry-bulb temperature ($T_0$), Relative Humidity (RH) and Global Solar Radiation (GSR) are used as network inputs and the landlord monthly energy consumption of the same period is the output. Up to three years monthly data are taken as training data. A forecast has been made for another year for all the five buildings. The performance of the NN analysis was evaluated using coefficient of variance (CV). The results show that NNs is powerful at predicting annual landlord energy consumption with high accuracy.

• 한국의류학회지
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• 제42권4호
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• pp.584-598
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• 2018

This study classified respondents by consumption value and analyzed differences in the purchase behavior of men's suits among consumption value groups. Frequency analysis, factor analysis, cluster analysis, and analysis of variance were conducted in order to analyze research problems. Factor analysis results showed that male consumption values included safety-oriented value, individuality-oriented value, others-oriented value, pleasure-oriented value, aesthetic-oriented value, low price-oriented value, community-oriented value, utility-oriented value, innovation-oriented value, and self-expression oriented value. The study divided respondents into personal satisfaction pursuit group, beauty & functionality pursuit group, individuality pursuit group, and others-oriented & low cost preference group according to consumption value. There were significant differences in selection criteria for men's suit (product image, physical properties of product, and brand name), selection reasons of brand (fashion & ostentation, individuality, and refinement), store attributes (store environment/salesperson service, reputation/additional service, and product assortment/shopping convenience).