• Title/Summary/Keyword: Household cleaner

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Numerical Study on the Internal Flow in the Cyclone Vacuum Cleaner (사이클론 청소기 내부 유동에 관한 수치해석적 연구)

  • Lee, Chanhyun;Chang, Hyuksang
    • Clean Technology
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    • v.20 no.3
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    • pp.283-289
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    • 2014
  • General household vacuum cleaners consist of dust collector, pre filter, motor and exhaust filter, and the filtered clean air is discharged to the atmosphere. By using the CFD methods, we estimated the internal flow in two types of commercial cyclone vacuum cleaners to evaluate the dust collection performance. From the analysis, it was known that the number of revolution had higher values in cyclone cone region. CFD analysis in a specific showed non-uniform velocity distribution at outlet, which results in the deterioration of particle collection performance. In order to improve flow condition, the installation of baffle was proposed and the values of velocity RMS were estimated.

Correlation among Ownership of Home Appliances Using Multivariate Probit Model (다변량 프로빗 모형을 이용한 가전제품 구매의 상관관계 분석)

  • Kim, Chang-Seob;Shin, Jung-Woo;Lee, Mi-Suk;Lee, Jong-Su
    • Journal of Global Scholars of Marketing Science
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    • v.19 no.2
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    • pp.17-26
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    • 2009
  • As the lifestyle of consumers changes and the need for various products increases, new products are being developed in the market. Each household owns various home appliances which are purchased through the choice of a decision maker. These appliances include not only large-sized products such as TV, refrigerator, and washing machine, but also small-sized products such as microwave oven and air cleaner. There exists latent correlation among possession of home appliances, even though they are purchased independently. The purpose of this research is to analyze the effect of demographic factors on the purchase and possession of each home appliances, and to derive some relationships among various appliances. To achieve this purpose, the present status on the possession of each home appliances are investigated through consumer survey data on the electric and energy product. And a multivariate probit(MVP) model is applied for the empirical analysis. From the estimation results, some appliances show a substitutive or complementary pattern as expected, while others which look apparently unrelated have correlation by co-incidence. This research has several advantages compared to previous literatures on home appliances. First, this research focuses on the various products which are purchased by each household, while previous researches such as Matsukawa and Ito(1998) and Yoon(2007) focus just on a particular product. Second, the methodology of this research can consider a choice process of each product and correlation among products simultaneously. Lastly, this research can analyze not only a substitutive or complementary relationship in the same category, but also the correlation among products in the different categories. As the data on the possession of home appliances in each household has a characteristic of multiple choice, not a single choice, a MVP model are used for the empirical analysis. A MVP model is derived from a random utility model, and has an advantage compared to a multinomial logit model in that correlation among error terms can be derive(Manchanda et al., 1999; Edwards and Allenby, 2003). It is assumed that the error term has a normal distribution with zero mean and variance-covariance matrix ${\Omega}$. Hence, the sign and value of correlation coefficients means the relationship between two alternatives(Manchanda et al., 1999). This research uses the data of 'TEMEP Household ICT/Energy Survey (THIES) 2008' which is conducted by Technology Management, Economics and Policy Program in Seoul National University. The empirical analysis of this research is accomplished in two steps. First, a MVP model with demographic variables is estimated to analyze the effect of the characteristics of household on the purchase of each home appliances. In this research, some variables such as education level, region, size of family, average income, type of house are considered. Second, a MVP model excluding demographic variables is estimated to analyze the correlation among each home appliances. According to the estimation results of variance-covariance matrix, each households tend to own some appliances such as washing machine-refrigerator-cleaner-microwave oven, and air conditioner-dish washer-washing machine and so on. On the other hand, several products such as analog braun tube TV-digital braun tube TV and desktop PC-portable PC show a substitutive pattern. Lastly, the correlation map of home appliances are derived using multi-dimensional scaling(MDS) method based on the result of variance-covariance matrix. This research can provide significant implications for the firm's marketing strategies such as bundling, pricing, display and so on. In addition, this research can provide significant information for the development of convergence products and related technologies. A convergence product can decrease its market uncertainty, if two products which consumers tend to purchase together are integrated into it. The results of this research are more meaningful because it is based on the possession status of each household through the survey data.

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Spectogram analysis of active power of appliances and LSTM-based Energy Disaggregation (다수 가전기기 유효전력의 스팩토그램 분석 및 LSTM기반의 전력 분해 알고리즘)

  • Kim, Imgyu;Kim, Hyuncheol;Kim, Seung Yun;Shin, Sangyong
    • Journal of the Korea Convergence Society
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    • v.12 no.2
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    • pp.21-28
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    • 2021
  • In this study, we propose a deep learning-based NILM technique using actual measured power data for 5 kinds of home appliances and verify its effectiveness. For about 3 weeks, the active power of the central power measuring device and five kinds of home appliances (refrigerator, induction, TV, washing machine, air cleaner) was individually measured. The preprocessing method of the measured data was introduced, and characteristics of each household appliance were analyzed through spectogram analysis. The characteristics of each household appliance are organized into a learning data set. All the power data measured by the central power measuring device and 5 kinds of home appliances were time-series mapping, and training was performed using a LSTM neural network, which is excellent for time series data prediction. An algorithm that can disaggregate five types of energies using only the power data of the main central power measuring device is proposed.

Content Analysis of advertised Eco-interior Materials and Products in Domestic Interior Magazines (국내 친환경 실내 마감재 및 제품의 전문잡지 광고지면 내용분석 연구)

  • Lee, Yeun-Sook;Lee, Soo-Jin;Kim, Kyu-Lee;Oh, So-Yeon;Kwon, Hyun-Joo
    • Korean Institute of Interior Design Journal
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    • v.15 no.5 s.58
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    • pp.298-305
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    • 2006
  • The purpose of this study is to figure out the profiles of eco-friendly finishing materials and intoner products through content analysis on the advertisements of three domestic interior design magazines, which have been published for 4 years since 2002. The amount of advertisements has been continuously increasing due to the public concerns on well-being. Finishing material types absolutely took the greatest proportion (92.8%), while products such as furniture and household equipments were only 7.2% among the advertisements. Charcoal, natural jade, yellow soil and nano-silver were the frequently mentioned health-related components in the finishing material. Only 35.7% of the finishing materials hold certification on indoor air quality. Among the interior products, phytonchid in air cleaner was the only advertised component related to health. In conclusion, controlling pollutants of indoor air quality, such as HCHO, VOC, seems to be the big issue in both materials and products due to the concern of Sick Building Syndrome. However, more scientific and objective guidelines are necessary for consumers to live in healthy interior environment.

Studies on the Energy Expenditure of the Use of the Electric Vacuum Cleaners (전기청소기 사용시의 에너지 소비량의 측정)

  • 신경주
    • Journal of the Korean Home Economics Association
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    • v.20 no.4
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    • pp.113-124
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    • 1982
  • We have investited on the efficiency of the electric vacuum cleaners for household use. On this experiment, we have used the Expired Gas Analyer IHO6(SAN-EI, K.K) to get energy expenditure of house cleaning. The testing items are, (1) The difference of energy expenditure of cleaning for the each types of the test floors: Which are P-tile, Tatami, and 4 kinds of carpets. (2) The energy expenditure of cleaning for the room with a given quantity of furnitures: The volumes of furnitures are 0, 3, 10, 20% of the room with 2 kinds of chair. The results of the experiments are as follows. 1. The energy expenditure of cleaning for the types of test floors: Setting the energy expenditure on the basis of P-tile, Tatami needs 20~24% energy expenditure than P-tile, and carpet needs 60~64% energy expenditure than P-tile. 2. Cleaning time: The more the room has many furnitures, the more it takes longer. The types of vacuum cleaners, the Shoulder-type cleaner needs 1.19 times of the Upright-type, and the Cylender-type needs 1.08 times of the Upright-type. 3. The energy expenditure of cleaning for a given quantity of furnitures: The more the rooms has many furnitures, the more the energy expenditure increase. A 10% (20%) increases in the volume of the furniture causes a 100% (200%) increases in the energy expenditure of vacuum cleaners.

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Regional Carbon Emissions Analysis in Settlement and Production Space for Local Government Polices - Focused on Gyeongsangnam Province - (지역의 탄소중립 전략을 위한 정주 및 생산공간에서의 탄소배출 특성 분석 -경상남도 지역을 대상으로-)

  • Lee, Jimin
    • Journal of The Korean Society of Agricultural Engineers
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    • v.65 no.3
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    • pp.1-13
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    • 2023
  • Local governments play a critical role in achieving carbon neutrality and reducing national carbon emissions. To manage carbon emissions effectively, it is essential for local governments to analyze regional carbon emissions. In this study, we developed a model for estimating carbon emissions based on land use and analyzed regional characteristics of carbon emissions to suggest policies for achieving carbon neutrality at the regional level. Our model for calculating carbon emissions is based on an analysis of the activities that contribute to carbon emissions for each land use, and we established the spatial scope of carbon emission calculation. We applied this model to the cities and counties in Gyeongsangnam province, calculating carbon emissions from settlement and agricultural production activities and comparing regional characteristics of carbon emissions. Our analysis showed that areas with larger populations generally produced higher emissions in all categories, but we observed different results in terms of unit emissions, emissions divided by area, population, and household. Based on these findings, we propose policies such as increasing the generation of new and renewable energy using public institutions, promoting the conversion to cleaner cooking and heating energy sources, and encouraging the adoption of eco-friendly automobiles on roads. We believe that our analysis of the spatial and regional characteristics of carbon emissions can help local governments establish effective policies for reducing carbon emissions in their regions.

Trace Element Analysis and Source Assessment of Household Dust in Daegu, Korea (대구지역 일반주택의 축적먼지 중 미량원소성분 분석과 오염원 평가)

  • Do, Hwa-Seok;Song, Hee-Bong;Jung, Yeoun-Wook;Yoon, Ho-Suk;Kwak, Jin-Hee;Han, Jeong-Uk;Kang, Hye-Jung;Phee, Young-Gyu
    • Journal of Korean Society of Environmental Engineers
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    • v.32 no.1
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    • pp.69-78
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    • 2010
  • In order to investigate the degree of household dust contamination, 48 samples of household dust (24 from urban area and 24 from rural area) in Daegu city were collected in vacuum cleaner during January to February 2009. Samples were sieved below 100 ${\mu}m$, and 14 elements (Al, Ca, Cd, Cr, Cu, Fe, K, Mg, Mn, Na, Ni, Pb, V, Zn) were analyzed using ICP after acid extraction. Results obtained from the source assessment of trace elements using enrichment factor showed that Ca, Fe, K, Mg, Mn, Na, and V were influenced by natural sources such as weathered rock and resuspended soil, while Cd, Cr, Cu, Ni, Pb and Zn were influenced by anthropogenic sources such as fuel combustion and waste incineration. Concentrations were remarkably higher in components from natural sources than in components from urban anthropogenic sources. Household dust in urban area was more affected by anthropogenic sources compared with that of rural area. Pollution index of heavy metals revealed that urban area was 1.8 times more contaminated with heavy metal components than rural area. The correlation analysis among trace elements indicated that components were correlated with natural sources-natural sources (Al-Mg, Al-Mn, Fe-Mn) and natural sources-anthropogenic sources (Al-V, Fe-Cr, V-Mn) in both urban area and rural area. Trace element components of rural area were more correlated than those of urban area. Houses that use oil for heating fuel had relatively higher contents of heavy metals rather than those using gas or electricity for heating fuel. Houses with children also had higher contents of heavy metals. In addition, the age of houses was found to influence the heavy metal levels in household dusts, with older houses (>10years) having higher concentrations than newer houses (<10years) and houses located near the major road (<10 m) were found to have relatively higher heavy metal levels in household dust.

The Public Choice Analysis of Korean Mobile Telecom Policy (이동통신정책의 공공선택 분석)

  • Shin, Jin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.3
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    • pp.493-499
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    • 2015
  • In Korea mobile phone subscribers exceeded 1 million people in 1995, and ten million people in 1998. Prevalence of the mobile phone increased dramatically over 110% compared to the population. Almost every family members including children uses more than one mobile terminal. Mobile phone is obviously more necessary good than washer, vacuum cleaner and passenger car. Our daily life are conveniently positioned with mobile communication, but communication related costs including the price of the device and service charges become a big burden on the household. But the government does not seem to do the right role at the right time to prevent the market failure to maximize consumer welfare and social welfare through supporting fair competition. This principal-agent problem issues of mobile communication policies will be understood in perspective of public choice against joint use of the mobile communication network, number portability, separation of phone distribution and phone service, network neutrality, mobile phone subsidy since the early 1990s when mobile phone service was introduced in Korea.

The Public Choice Analysis of Korean Mobile Telecom Policy (이동통신 정책의 공공 선택 분석)

  • Shin, Jin;Park, Dea-Woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.917-920
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    • 2014
  • In Korea mobile phone subscribers exceeded 1 million people in 1995, and ten million people in 1998. Prevalence of the mobile phone increased dramatically over 110% compared to the population. And all family members including children and students use one or two mobile terminal. Mobile phone is obviously necessary good more than washer, vacuum cleaner, passenger car. Our daily life with mobile communication are conveniently positioned, but communication related costs including the price of the device has become a big burden on the household. But the government does not seem to do the right role at the right time to prevent the failure of the market to further maximize consumer welfare and social welfare through fair competition. This principal-agent problems exist especially in perspective of joint use of the mobile communication network, number portability, separation of phone distribution and phone service and network neutrality among in mobile communication policies since the early 1990s up to now.

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