• 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.

• STI Policy Review
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• v.1 no.1
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• pp.23-42
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• 2010

The American Recovery and Reinvestment Act (ARRA), known widely as the "stimulus" bill, developed by the U.S. Congress and President-elect Obama in late 2008 and early 2009, is investing a significant portion of its $787 billion infusion of funds in future-oriented programs intended not only to "jump-start" the stalled American economy, but to promote the development of renewable energy sources and increase energy efficiency in appliances, buildings, transportation, and other sectors of the economy. These investments are expected both to create immediate employment in green industries and to build a more sustainable society in the long term. The Obama Administration's green energy initiatives are part of a larger emphasis on science and technology within its agenda. It has roots in the Obama campaign and is supported by an unusually strong science and technology team. Much of the activity is centered in the Department of Energy, which received a huge one-time increase in its fiscal year 2009 budget to support the new and expanded programs. Areas that have been neglected by the federal government R&D program for many years, including smart grid technology, solar, wind, and geothermal energy, received large boosts. Many of these programs - and, in fact, the broader concept of government involvement in commercial innovation - are politically controversial Previous attempts to expand research in these areas by liberal Democratic administrations and Congresses have been criticized and sometimes thwarted by conservatives. Whether President Obama's efforts will meet with more success, both politically and technologically, remains to be seen.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.553-555
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• 2015

In this paper, we proposed the blue-green algae monitoring system using the HSV(Hue Saturation Value) color model. The proposed system is to extract the image data from the camera of raspberry pie server by an wireless network, and it is analyzed through the HSV color model. We implemented a web server to provide the information of the XML data which was analyzed from the raspberry pie server. Also, the mobile app was developed to view the XML data on smart devices.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.482-485
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• 2013

With the advent of smart age, the concern on smart work has gradually increased in solving our social problems including low birth, aging, low productivity and green growth with low carbon as well as encouraging the balance between work and life. In addition, the competitiveness among companies and countries to preoccupy the advanced smart work technologies which lead the economic growth in the future have increased more than ever before. So have global standard competitiveness done under the situation of using international standardization as practical strategy for dominating market. It is essential to make standardization strategy and do systematic implementation for core technology which leads global market in order to fit such an environment and introduce smart work as soon as possible. Therefore, this paper suggests standardization items which lead global standard and implementation direction on standardization through analysing the current situation introducing smart work and technology/standardization trend.

• Progress in Superconductivity and Cryogenics
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• v.12 no.3
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• pp.34-38
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• 2010

Until now some countries including South Korea have made big progress and many efforts in the development of high temperature superconductor (HTS) power equipments. Especially, HTS Cable and superconducting fault current limiter (SFCL) are the strongest candidates among them from the viewpoint of applying to real grid. In South Korea, HTS cable and SFCL have been installed in test fields and tested successfully at Gochang PT Center of KEPCO. In order to meet practical requirements and be feasible in real grid, a demonstration project for HTS cable and SFCL systems, called GENI(green superconducting electric power network at Icheon substation) project, has been initiated to install 23kV HTS cable and SFCL systems in a utility network in South Korea since 2008. Namely, it says the first demonstration project for the application HTS system to real smart grid in South Korea. This paper presents the design and the application plan of the 22.9kV HTS cable and SFCL in 154kV Icheon substation in South Korea with the viewpoint of applying in Smat Grid.

• Journal of the Korea Convergence Society
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• v.2 no.4
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• pp.15-19
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• 2011

The transportation and logistics industries, the constructions of a green transport methods for logistics systems are presented. They aims the greenhouse gas emissions 37% savings compared to BAU(Business As Usual) for a green growth of national strategy by 2020. An eco-driving training for truck drivers is a typical way. However there are few studies such as the integrated data collection automatically and the diagnostic Assessments and monitoring methods of logistics network status to show the effects of the eco-driving. To solve this problem, this paper provides previous research on logistics network diagnostics assessments and monitoring service and eco-driving. Then this paper shows developments of the logistics network diagnostic assessments and monitoring service business flow to promote eco-driving behaviors for truck drivers based on a smart phone application. Also, it shows an efficiency through an application results in field test.

• Journal of the Institute of Convergence Signal Processing
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• v.24 no.4
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• pp.249-254
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• 2023

Recently, the distribution of drones is being activated by saving farmers' working time and protecting them from harmful human bodies from pesticides due to the mission of spraying pesticides using drones. It is possible to compensate for various shortcomings derived from the existing pesticide spraying method, wide-area control and helicopter control. Recently, the smart farm expansion policy has actively used it to generate profits for farmers by increasing harvests by monitoring growth information of various crops based on IoT in real time and collecting big data on key variables, and related drone industry technologies are also being developed. In this study, drones were applied to the work of shading greenhouses to secure diversity in agricultural application fields, and basic research on the greenhouse environment was conducted to materialize the technology related to shading. In order to provide high-quality light in consideration of the internal and external environment of the green house, basic research was conducted to enable light-shielding missions using drones through nozzle design for uniform spraying of nozzles of drones, light-transmitting rate analysis of green houses, and light-shielding agent application experiments.

• Journal of the Korean Institute of Landscape Architecture
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• v.50 no.3
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• pp.19-34
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• 2022

This study was conducted to provide basic data that can be used when establishing Net Zero policies and implementation plans for non-urban settlements by quantitatively analyzing the Net Zero contribution to green infrastructure in rural areas corresponding to non-urban settlements. The main purpose is to first, systematize green infrastructure in rural areas, secondly derive basic units for each element of green infrastructure, and thirdly quantify and present the impact on Net Zero in Korea using these. In this study, CVR(Content Validity Ration) analysis was performed to verify the adequacy of green infrastructure elements in rural areas derived through research and analysis of previous studies, is as follows. First, Hubs of Green infrastructure in rural area include village forests, wetlands, farm land, and smart farms with a CVR value of .500 or higher. And Links of Green infrastructure in rural area include streams, village green areas, and LID (rainwater recycling). Second, the basic unit for each green infrastructure element was presented by classifying it into minimum, maximum, and median values using the results of previous studies so that it could be used for spatial planning and design for Net Zero. Third, when Green infrastructure in rural areas is applied to non-urban settlements in Korea, it is analyzed that it has the effect of indirectly reducing CO₂ by at least 70.76 million tons and up to 141.16 million tons. This is 3.4 to 6.7 times the amount of CO₂ emission from the agricultural sector in 2019, and it can be seen that the contribution to Net Zero is very high. It is expected to greatly contribute to the transformation of the ecosystem. This study quantitatively presented the carbon-neutral contribution to settlements located in non-urban areas, and by deriving the carbon reduction unit for each element of green infrastructure in rural areas, it can be used in spatial planning and design for carbon-neutral at the village level. It has significance as a basic research. In particular, the basic unit of carbon reduction for each green infrastructure factors will be usable for Net Zero policy at the village level, presenting a quantitative target when establishing a plan, and checking whether or not it has been achieved. In addition, based on this, it will be possible to expand and apply Net Zero at regional and city units such as cities, counties, and districts.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.4
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• pp.73-83
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• 2004

With increasing numbers of vehicles on restricted roads, It happens that we have much wasted time and decreased average car speed. This paper proposes a new concept of coordinating green time which controls 10 traffic intersection systems. For instance, if we have a baseball game at 8 pm today, traffic volume toward the baseball game at 8 pm today, franc volume toward the baseball game will be increased 1 hour or 1 hour and 30 minutes before the baseball game. At that time we can not predict optimal green time Even though there have smart electro-sensitive traffic light system. Therefore, in this paper to improve average vehicle speed and reduce average vehicle waiting time, we created optimal green time using fuzzy rules md neural network as a preprocessing. Also, we developed an Intelligent PLC(Programmable Logic Controller) for real time traffic forecasting as a postprocesing about unexpectable conditions. Computer simulation results proved reducing average vehicle waiting time which proposed coordinating green time better than electro-sensitive franc light system does not consider coordinating green time.

• Journal of Software Engineering Society
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• v.24 no.3
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• pp.111-115
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• 2011

With the emergence of the smart grid era, the interest in green energy which reduce carbon emissions and environment-friendly smart grid which combines the advantages of power and IT technology is increasing around the world. To use the smart grid effectively heterogeneous systems such as EMS, MOS and WIS must be linked together. However, additional interface should be developed to link EMS and heterogeneous systems since IEC has only defines the interface for EMS. Especially, to link legacy system and new system, some software might need to be designed and developed because separate interfaces for connection can be developed depending on each system and environment. In this paper, we propose an integrated interface based on CIM for interconnection between systems. A proposed interface can integrate messages of heterogeneous system and will be able to reduce costs that could be incurred by the removal of the existing system and the addition of the new system.