• Journal of the Korean Society of Industry Convergence
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• v.23 no.6_2
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• pp.1067-1074
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• 2020

Green houses provide a more conditioned and warmer environment than the outside environment due to insulation. Currently used insulation materials include soft film (PVC, PE, EVA), foamed PE sheet, non-woven fabric, reflective film, and multi-layer insulation curtain, but there are many disadvantages and to compensate for this, silica aerogel insulation material with excellent warmth, light weight, and small volume Research using is in progress. In this study, the temperature change of the quadruple-structure green house and the temperature change in the dual-structure green house of soft film and silica airgel were investigated. The daytime temperature change was highest in A and A2 (soft film) at 10 to 16:00 after sunrise, but showed the lowest temperature at 17 to 18:00, which is the sunset time, showing the greatest change. The airgels of D and D2 showed the smallest change in temperature after sunrise and right after sunset. That is, it can be said that the airgel is hardly affected by external temperature. The temperature change at night was highest in D and D2 (aerogel) for both quadruple and dual structures. The temperature at night was measured higher in the quadruple structure than in the double structure. As for the ratio of the internal temperature to the external temperature for the quadruple structure and the double structure, D (aerogel) was not affected by the external temperature during the day in the quadruple structure and the double structure. D (Aerogel) seems to be able to reduce the damage caused by high temperatures in summer due to the high thermal insulation effect of the airgel, as the temperature rises above 4℃ at night. And in winter, it helps to save heating costs due to less heat emitted to the outside.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.9
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• pp.1581-1586
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• 2010

Korea Power Exchange has successfully performed the Long-term Electricity Demand Forecasting. Recently there is a lot of change in electricity industry sector; the national master-plan for green gas emission reducing, rise of smart-grid, and new trend of electricity consumption, and it is becoming painful challenging for demand forecasting. In new circumstance the demand forecasting is required more flexible and more accurate.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.20 no.6
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• pp.111-125
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• 2010

There is a growing interest in "smart grid" technology, especially after the government recently announced "low-carbon green-growth industry" project. A smart grid uses "smart meters", which can be deployed in any power-consuming places like homes and factories. It has been shown that smart meters have several security weaknesses. There is, however, no protection profile available for smart meters, which means that safety with using them is not guaranteed at all. This paper analyzes vulnerabilities of smart meters and the relevant attack methods, thereby deriving the security functions and requirements for smart meters. Finally, we propose a protection profile based on Common Criterion v3.l for smart meters.

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.159-167
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• 2021

The increasingly severe environmental problems such as resource depletion and ecological damage, and consumers' concern for sustainable fashion, make the fashion industry chain develop towards green energy saving. The purpose of this study is to explore the attitude and consumption psychology of specific groups towards sustainable fashion consumption, as well as their specific views and attitudes towards recycled textiles or fabrics for re-manufacturing clothing. This paper attempts to understand how the characteristics of recycled clothing affect consumer. Based on the review of relevant literature, a series of determinants affecting consumer behavior is determined, and the characteristics of recycled products, such as expression value and social value, are determined. An online questionnaire was designed based on this conceptual framework, and 226 valid, complete answers were received. The results show that the emphasis on social value and environmental protection consciousness can effectively affect consumers' decision-making. These findings were helpful to the research of whole green environmental protection and ecological clothing recycling industry system, promote the sustainable development of the clothing industry.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.83-84
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• 2023

Wall structure smart modular is a building construction method where modules are manufactured in a factory and assembled on-site. This method is gaining popularity in the construction industry as it reduces construction time and mitigates risks such as material supply and labor costs. Wall structure smart modular is necessary as it provides comfortable temporary classroom space during renovation and remodeling of aging school buildings. The structure and characteristics of each type of temporary classroom modular were compared, and wall structure modular showed superior performance in terms of height and weight competitiveness compared to mixed structures. With these advantages, wall structure modular can ensure economic efficiency and recyclability as a temporary classroom. In the future, we aim to compare and analyze the standards such as inter-floor noise and heat transfer coefficient for wall structure and mixed structures.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.4
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• pp.47-55
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• 2011

In this paper, the management system for a bicycle station using 900 MHz RFID technology has been developed. Based on the several reasons such as environmental pollution, high oil prices, and the government's eco-friendly policies, a bicycle usage is increasing nowadays. Accordingly, a need for bicycle parking spaces has already been emerging and increasing around a bicycle station. But most of the bicycle parking system are operated by manually, and it causes somewhat inefficient. Therefore, this paper suggests an unmanned bicycle station using RFID technology. The proposed system is supported by the mobile applications that are operated in the smart phones, and which gives the real-time access to the information of bicycle station. The proposed system yields owners of bicycle owners the convenience and efficiency of the station management in order to maximize the function of the bicycle stations.

• Korean Chemical Engineering Research
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• v.58 no.4
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• pp.565-572
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• 2020

This study developed a software platform using machine learning of artificial intelligence to optimize the distillation column system. The distillation column is representative and core process in the petrochemical industry. Process stabilization is difficult due to various operating conditions and continuous process characteristics, and differences in process efficiency occur depending on operator skill. The process control based on the theoretical simulation was used to overcome this problem, but it has a limitation which it can't apply to complex processes and real-time systems. This study aims to develop an empirical simulation model based on machine learning and to suggest an optimal process operation method. The development of empirical simulations involves collecting big data from the actual process, feature extraction through data mining, and representative algorithm for the chemical process. Finally, the platform for the distillation column was developed with verification through a developed model and field tests. Through the developed platform, it is possible to predict the operating parameters and provided optimal operating conditions to achieve efficient process control. This study is the basic study applying the artificial intelligence machine learning technique for the chemical process. After application on a wide variety of processes and it can be utilized to the cornerstone of the smart factory of the industry 4.0.

• The Journal of Sustainable Design and Educational Environment Research
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• v.21 no.1
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• pp.11-23
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• 2022

The purpose of this study is to develop the Korean New Deal policy in the post-corona era, and furthermore, to provide basic data to discover and present a desirable future educational facility environment-related agenda that will help the successful realization of the policy. In order to achieve the above research purpose, we explored the new paradigm shift for the education new deal in the post-COVID-19 era and the future educational facility environment through Korean and overseas related policies, reports, and source books. And a Delphi survey was conducted on panels of experts in the front-line education field, academia, and industry. As a result, 5 areas were derived as key domains of the educational facility environment in the post-COVID-19 era, and a total of 33 agendas [8 in green, 9 in smart, 9 in spatial innovation, 4 in school facilities complexation, and 3 in others (safety)] were derived. The study findings confirmed that the demand for the smart area and spatial innovation area as the educational facility environment agenda in the post-COVID-19 era was relatively high compared to the green area or school facilities complexation area. Therefore, when establishing educational facility policies in the future, it is necessary to establish customized policies that reflect the demands and needs for the smart area and spatial innovation area, whereas it is necessary to focus more on establishing policies that improve awareness and interest about the green area and school facilities complexation area.

• The Korean Journal of Franchise Management
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• v.8 no.1
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• pp.19-30
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• 2017

Purpose - As environmental issues, along with the growth of companies, are accelerating, social interests in eco-friendly management that requires corporate social role and responsibility are increasing. The eco-friendly management activity reflects the changes in environmental awareness of consumers. Therefore, the eco-friendly images of companies influence consumers, and the establishing of eco-friendly management strategy has become a very important factor in the greenmarket. In this regard, this study examined the impacts of green leadership and environmental attractiveness on strategic environmental marketing, tactical environmental marketing, and environmental performance towards the employees of franchisee headquarters. Research design, data, and methodology - The survey was conducted towards the 800 headquarters among 2,600 brands that are registered with the Fair Trade Commission of Korea by mail. Among the total of 162 questionnaires collected, 7 respondents were excluded for their incompletion, and thus 155 responses were used in this study. The data were analyzed with SPSS 21.0 and SmartPLS 3.0. Frequency analysis was carried out to understand the general characteristics of the subjects, and confirmatory factor analysis to measure the reliability and validity of the measurement. Correlation analysis was conducted to identify the correlation between constructs, and structural equation modeling to examine the structural relationships among the constructs. Result and Conclusions - First, green leadership had a positive impact on strategic environmental marketing, tactical environmental marketing, and environmental performance. Second, environmental attractiveness had a positive effect on strategic environmental marketing, tactical environmental marketing, and environmental performance. Finally, strategic environmental marketing and tactical environmental marketing had positive impacts on environmental performance. This study can be recognized for proposing new perspectives on eco-friendly management strategy for firms to be able to win competitive superiority and performance by embedding awareness of the importance of environmental market and suggesting practical implications on understanding of environmental attractiveness, strategies and tactics of environmental management, and environmental performance in the franchise industry.

• Journal of the Korean Society of Industry Convergence
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• v.23 no.6_2
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• pp.949-956
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• 2020

It's important to measure fuel consumption of vehicles. It's possible to monitor green house gas from vehicles for various traffic conditions with the measured data. It's effective to eco-drive for drivers with fuel consumption data also. There's a display of fuel consumption in the modern vehicles, but it's not useful to get the data from the display. An estimating method for fuel consumption of a vehicle is suggested in the study. It's a simple but an effective method using GPS data. The GPS data(speed, acceleration, road slope) and vehicle data(weight, frontal area, model year, certified fuel economy) is necessary to estimate the fuel consumption for the method. It calculates driving resistance force to estimate engine power. Then it estimates the necessary fuel consumption to maintain the engine power with fuel-power conversion factor. The conversion factor is corrected with certified fuel economy, model year and rated power. The precision of the methods is checked with road test data. The test driving data was measured with GPS and OBD. The error of the estimated fuel consumption for the measured one is about 1.8%. But the error is large for the 1000 and 100 data number from the total data number of about 10,000. The error is from the larger change range of the GPS data than the one of the measured fuel consumption data. But the proposed estimating method is useful to percept the fuel consumption change for better fuel economy with simple gadget like smart phone or other GPS instruments.