• Journal of Korea Multimedia Society
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• v.22 no.3
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• pp.366-373
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• 2019

The development of monitoring and analysis systems to increase productivity while saving energy is needed as a method to reduce huge amount of energy consumed in the process of producing large forged products. In this paper, we propose a system to monitor and analyze energy usage in real-time collected from gas-meter, wattmeter, and thermometer based on IoT installed in forging factories. The system consists of a data collection server for collecting and processing data from IoT- based platform and existing SCADA equipment and ERP/MES system in forging factories, and an application server for providing services to users. To develop the system, the overall system structure is logically diagrammed, and the databases configuration and implementation modules to efficiently store and manage data are presented. In the future, the system will be utilized to reduce energy consumption by analyzing energy usage pattern and optimizing process works with real-time energy usage and production process data for each facility.

• The Journal of Industrial Distribution & Business
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• v.10 no.3
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• pp.25-33
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• 2019

Purpose - With the economic development in China, the lifestyle of Chinese customers has changed dramatically. Chinese customers are more likely to have coffee in a shop with the ability to make them happy than those with high quality coffee in a nice physical environment. Happiness becomes a critical driver of customers' intention to purchase a cup of coffee in a specific coffee shop again and again. As a result, happiness becomes an important factor for managers to make strategies for attracting customers. Although managers and scholars pay more attention to emphasize the importance of happiness in customers' consumption, little research has been conducted to investigate the relationship between happiness and coffee shop's continuous usage intention in the Chinese coffee industry. Research design, data, and methodology - A research model is made to explain the impact of happiness on customer's behavior. To understand the influence of happiness better, we consider two dimensions of happiness which are subjective well-being and psychological well-being. In order to confirm the relationships of the variables in the research model, the online survey is constructed in China. Customers who have experienced the services in a coffee shop are asked to do the questionnaire. With 453 reliable questionnaires, structural equation modeling is used to analyze the causal relationships of the coffee quality, physical environment, subjective well-being, psychological well-being, and continuous usage intention. Results - Results indicate that coffee quality and physical environment are not the direct factors that influence customers' continuous usage intention. However, good coffee quality and physical environment are the significant predictors of Chinese customers' happiness associated with subjective well-being and psychological well-being, which in turn affects customers' continuous usage intention. Conclusions - In this study, it is proposed that coffee quality and physical environment may be the key factors influencing customers' happiness. Happiness, including subjective well-being and psychological well-being matters in decision making process. More importantly, happiness increases the continuous usage intention when the coffee shop can serve customers with higher quality coffee at a good atmospheric place. Managers should consider happiness as an important factor in making marketing strategies to compete in this industry.

• Journal of the Korea Furniture Society
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• v.24 no.1
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• pp.51-59
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• 2013

In this study, a dwelling type of Korea and Japan was compared, and consumption rate of domestic timber and its usage was also investigated. In Korea, dwelling type of apartment which constructed by iron and steel-concrete is main shared, but a detached house which is shared at 60% of dwelling type of Japan is mainly constructed by timber. And the rate of the consumption of domestic wood in Japan is 73%. In Japan, there is an effort to substitute imported wood to domestic timber through the promotion of using of domestic timber. Whereas the needs on using of domestic timber gradually emerged. So, the legal about sustainable use of wood is approved by the National Assembly on May 2012. There is not active movement in the aspect of using of domestic timber yet. These causes to the geographical and environmental characteristics, but industry, policy, and the difference of recognize on domestic timber utilization is thought to do greater influence. Hence, it is recommended to make a portfolio of both balanced domestic timber usage and the change of awareness of people by referring to the example of Japan.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.34 no.10
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• pp.19-26
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• 2018

The purpose of this study was to analyze characteristics and to develop estimation model of IHG(Internal Heat Gain) from appliance in domestic apartment units. To do this, it was defined the source of IHG from appliance and the calculation method through the case study of international and domestic codes. And the equipment related datum such possession, usage or not, etc were collected through field survey in apartment units, and the appliances' electricity consumption were measured separately from overall electricity consumption. Annual electricity consumption value were calculated with field survey datum and appliances' electricity consumption measurement datum, and then IHG value was calculated by applying PHPP v9 method. And it was conducted correlation analysis between IHG value and the area for exclusive use, the number of occupants, and then the IHG from applianace estimation model was deducted with regression analysis. Finally, it was analyzed the present level and of the domestic code(The Building Energy Efficiency Rating System) comparing with the value of estimation model, and the various international codes(HERS, Building America, SAP).

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.6
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• pp.1935-1952
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• 2022

Consumer innovativeness plays a vital role in explaining consumer dynamics, such as adoption, usage, and behavioral intention, in the new world of disruptive online media. This empirical study aimed to examine the importance of consumer innovativeness and digital literacy in the adoption and expansion of new technology-based media services, focusing on OTT services. Extending the theory of adoption of new technologies by innovators to new media environment centered on OTT services, it examines the influence of the four dimensions of motivated consumer innovativeness on OTT service usage. The Korea Media Panel Data of 2019, where overall ICT usage and media consumption of a broad panel of respondents was collected, was used for the analysis. From the data of 10,864 respondents, 4,031 (37.1%) were found to have experience in using OTT services. To clarify the mediating effect of digital literacy on the correlations between cognitive innovativeness of consumers and their use of OTT services, Process Macro Model 4 was used. The bootstrap method was applied to reveal that all four dimensions of consumer innovativeness have a significant indirect effect on new media usage through digital literacy, thus indicating how digital literacy plays an important role in the spread of new digital services in addition to consumer innovativeness. The findings are important in that they can help in the efforts to introduce new technologies to the public and educate them to improve their digital literacy so that they can enjoy the complete experience of using these new digital products.

• Smart Media Journal
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• v.13 no.1
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• pp.18-23
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• 2024

Power efficiency management in smart farms is important due to its link to climate change. As climate change negatively impacts agriculture, future agriculture is expected to utilize smart farms to minimize climate impacts, but smart farms' power consumption may exacerbate the climate crisis due to the current electricity production system. Therefore, it is essential to efficiently manage and optimize the power usage of smart farms. In this study, we propose a system that monitors the power usage of smart farm equipment in real time and predicts the power usage one hour later using GRU. CT sensors are installed to collect power usage data, which are analyzed to detect and prevent abnormal patterns, and combined with IoT technology to efficiently manage and monitor the overall power usage. This helps to optimize power usage, improve energy efficiency, and reduce carbon emissions. The system is expected to improve not only the energy management of smart farms, but also the overall efficiency of energy use.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.26 no.8
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• pp.394-400
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• 2014

Several models and methods have been developed to verify the improvement of energy performance in retrofit buildings. The verification is important to confirm the effectiveness of new technologies or retrofits. Inverse model toolkit proposed by ASHRAE evaluates the changes of the energy performance of retrofit buildings by using actual energy consumption data. In this study, the inverse model toolkit was used to analyze heating and cooling energy performance of an office building. Analyzed coefficients of correlation of actual energy consumption with estimated energy consumption was above 0.92 and well fitted. It was confirmed that energy consumption of natural gas decreased by 43.4% and also that electricity decreased by 13.8%, after the retrofit of the case building. For the energy usage, cooling energy was increased by 7.4%, heating energy was decreased by 42.3%, hot water and cooking were increased by 3.4%, lighting and electronics were decreased by 19.3%, and the total energy was decreased by 18.9%.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.23 no.10
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• pp.656-661
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• 2011

The amount of water resources that can be used tend to be decreased gradually. In contrast, the rapidly increasing water consumption is a problem that need to be addressed. Renovation and equipment replacement to improve energy efficiency and to reduce expenditure for building usage is required. But the excessive initial investment cost and the prolonged of pay back period may be uneconomical choice. Water usage for cleaning the toilet bowl accounts for 27%of the total water usage. Water-saving valve that can select the amount of water for cleaning toilet bowl can be reduced expenditure. After installing water-saving valve, analysed the economic effects. Water-saving valves compared with flush valves, and researched the amount of water usage. Then analyzed for the economic effects. Water-saving valve was used 5.6 ${\ell}$/time for cleaning toilet bowl. In contrast, flush valve was consumed 8.4 ${\ell}$/time. Water-saving valve's water-saving rate was 33.3%. The initial payback period for Water-saving valve was 459.5 days. By a small investment in water saving valve, the economic benefits can be obtained.

• Journal of the Korean Society of Costume
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• v.65 no.8
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• pp.35-49
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• 2015

When parents and their children wear matching clothes, ranging from one item to the entire wardrobe, we call this the "family look." The purpose of this study was to identify the factors that influence family look clothes consumption. It was proposed that mothers' familism tendencies, playfulness, and demographic characteristics were the main factors that decided the extent of the purchase and usage of family look clothes. A survey was conducted between September 23 and 29, 2013 with mothers who have purchased and wore family look clothes. The age of the women ranged from 20s to 40s. The results showed that the number of family look items is influenced by mothers' familism tendencies and playfulness. Also the favorite family look style depended on the familism tendency, playfulness, and the age of the child(ren). The results of this study are expected to provide implications to apparel companies that produce family looks.

• Electronics and Telecommunications Trends
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• v.35 no.2
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• pp.69-78
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• 2020

Small portable devices such as mobile phones and laptops currently display a trend of high power consumption owing to their characteristics of high speed and multifunctionality. Low-power SoC design is one of the important factors that must be considered to increase portable time at limited battery capacities. Popular low power SoC design techniques include clock gating, multi-threshold voltage, power gating, and multi-voltage design. With a decreasing semiconductor process technology size, leakage power can surpass dynamic power in total power consumption; therefore, appropriate low-power SoC design techniques must be combined to reduce power consumption to meet the power specifications. This study examines several low-power SoC design trends that reduce semiconductor SoC dynamic and static power using EDA tools. Low-power SoC design technology can be a competitive advantage, especially in the IoT and AI edge environments, where power usage is typically limited.