• 한국신재생에너지학회:학술대회논문집
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• 2007.06a
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• pp.800-803
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• 2007

Gasification has been regarded as a core technology in dealing with environmental pollutants and in obtaining higher efficiency for power generation. Among several ways in utilizing produced syngas from gasification, power generation would be the most prominent application. Syngas from coal was applied to the readily available LPG engine from automobiles. Main purpose was to identify the combustion characteristics in the modified gas engine when using syngas of low heating value and to test the modification optionsin the LPG gas engine. Gas engine rpm and the corresponding flue gas composition were measured for each syngas input condition. Results showed that even with syngas at the heating value of $1300{\sim}1800$ kcal/$Nm^3$ corresponding to the $6{\sim}7%$ of LPG heating value, gas engine operated successfully only with the problems of high CO and oxygen concentrations in the flue gas.

• Journal of Information Technology Services
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• v.23 no.2
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• pp.1-12
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• 2024

This study aims to find ways to increase the declining donation intention by using machine learning techniques. To this end, in order to predict factors that affect donations between the MZ generation and the senior generation, various machine learning algorithms, including logistic regression analysis, are applied to build a model to determine variables that affect donation intention, and provide statistical verification and evaluation indicators. In this study, differences in donation intention by generation were expected as a variable affecting donation intention, and the senior generation was expected to show a higher donation intention tendency than the younger generation. However, although the research results were not statistically significant, the younger generation showed a higher intention to donate, and these results are interpreted to mean that value consumption and ethical consumption, which are important to today's MZ generation, also influenced donations. However, there were differences between generations in the amount of donations, and higher donation amounts were confirmed among the senior generation (those in their 50s or older) than the younger generation. In addition, the results of the logistic regression analysis showed that previous donation experience had a positive effect on future donation intention, and the more motivation and importance of donation and various social participation activities online and offline, the more active one became in donating.

• Journal of the Semiconductor & Display Technology
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• v.10 no.3
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• pp.89-94
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• 2011

The image identification methodology associates an image with a unique identifiable representation. Whenever the methodology regenerates an identifier for the same image, moreover, the newly created identifier needs to be consistent in terms of representation value. In this paper, we discuss a methodology for image identifier generation utilizing luminance correlation. We furthermore propose a method for performance enhancement of the image identifier generation. We also demonstrate the experimental evaluations for uniqueness and similarity analysis and performance improvement that have shown favorable results.

• Proceedings of the KIEE Conference
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• 2003.11a
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• pp.202-204
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• 2003

This paper suggests an optimal parameter setting method by use of parametric protectability index, as the objective function. In this paper, a gradient based optimization method is used under the assumption that the initial values of a parameter is in a convex set including the optimal value, which is verified by a plenty of simulation studies. The proposed method is applied to a sample distribution network to shows its effectiveness.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.2
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• pp.566-575
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• 2015

The study aims to identify the generation and treatment of fishery by-products in Korea and suggests future directions and strategies for their eco-friendly utilization and industrialization. First, the study focuses on the identification of the generation and their treatment in Korea since merely few study were conducted and they did not provide enough information regarding the overall generation and treatment at the national level. According to the estimation, Korea generates 800 thousand to 1,200 thousand tones of fishery by-product every year. The fishery by-products generated at large seafood markets and processing facilities are used or processed as fish meal and feed, but those generated from households and small seafood restaurants are currently treated as food waste. In addition, inadequately treated fishery by-products cause various problems such as spoiling urban landscape, creating odor and incubating pest. After identifying the generation and treatment of fishery by-products, the study suggests directions for the formulation of infrastructure for transition into resource circulation society, minimization of dumped waste and their eco-friendly recycling as resources, diversification of recycled goods and development into a high-value added industry. Finally, the study suggests detailed strategies for the directions such as establishment of legal and institutional foundation, separation of fishery by-products from wastes, development of technology tailored for commercialization, introduction of pilot projects for industrialization and cultivation of social enterprises.

• KIEE International Transactions on Power Engineering
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• v.3A no.1
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• pp.35-41
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• 2003

To ensure resource adequacy in restructured electricity markets, policymakers have adopted installed capacity (ICAP) markets in some regions of the United States. These markets ensure that adequate generation exists to satisfy regional Loss of Load Probability(LOLP) criterion. Since the incentives created through ICAP mechanisms directly impact new generation and transmission investment decisions we examine one important factor that links ICAP markets with LOLP calculations;, determining the amount of ICAP credit assigned to particular generation units. First, we review and critique the literature on electric power systems' market failure resulting from demand exceeding supply. We then summarize the method of computing (the LOLP) as a means of assessing reliability and relate this method to ICAP markets. We find that only the expected value of available generation is used In current ICAP markets while ignoring the second and higher order moments, which tends to mis-state the ICAP value of a specific resource. We then consider a proposal whose purpose is to avoid this ICAP assignment issue by switching from ICAP obligations to options. We find that such a proposal may fail to not provide the benefits claimed and suffers from several practical difficulties. Finally, we conclude with some policy recommendations and areas for future research.

• Proceedings of the Korea Concrete Institute Conference
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• 2003.05a
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• pp.261-266
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• 2003

This study is to investigate the heating value and noxious gases generation such as CO, NO and $SO_2$ known as dangerous gas for human from specimen made of cement and lightweight aggregate. The most quanity of CO gas is generated in EPS(Expanded Poly Styrene), core of commercial sandwich panel. Although specimens mainly composed of cement discharged the relatively less CO gas than organic core such as EPS, specimens which SBR was added discharged the very much amount of CO gas similar to EPS and especially, specimens including foaming agent, gas foaming agent or redipersible powder of VA/VeoVa showed the good properties in the generation of CO gas. From the standpoint of the generation of NO and $SO_2$ gas, both the core of commercial sandwich panel such as EPS, Glass wool and specimens made with polymer dispersion such as St/BA and SBR discharge the very much amount of NO and $SO_2$ gas in comparison of the other specimens. From this study, it was confirmed that organic materials such as core of commercial sandwich panel dischared much more noxious gas than specimens composed of cement and inorganic lightweight aggregate.

• Journal of Environmental Health Sciences
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• v.34 no.6
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• pp.414-422
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• 2008

Methane is a potent greenhouse gas and methane emissions from landfill sites have been linked to global warming. In this study, LandGEM (Landfill Gas Emission Model) was applied to predict landfill gas quantity over time, and then this result was compared with the data surveyed on the site, Cheongju Megalo Landfill. LandGEM allows the input of site-specific values for methane generation rate (k) and potential methane generation capacity $L_o$, but in this study, k value of 0.04/yr and $L_o$ value of $100\;m^3$/ton were considered to be most appropriate for reflecting non-arid temperate region conventional landfilling like Cheongju Megalo Landfill. Relatively high discrepancies between the surveyed data and the predicted data about landfill gas seems to be derived from insufficient compaction of daily soil-cover, inefficient recovery of landfill gas and banning of direct landfilling of food waste in 2005. This study can be used for dissemination of information and increasing awareness about the benefits of recovering and utilizing LFG (landfill gas) and mitigating greenhouse gas emissions.

• Transactions on Electrical and Electronic Materials
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• v.18 no.6
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• pp.350-358
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• 2017

Recently, owing to increased interest in low-carbon energy supplies, renewable energy sources such as photovoltaics and wind turbines in distribution networks have received considerable attention for generating clean and unlimited energy. The presence of energy storage systems (ESSs) in the promising field of active distribution networks (ADNs) would have direct impact on power system problems such as encountered in probabilistic distributed generation (DG) model studies. Hence, the optimal procedure is offered herein, in which the simultaneous placement of an ESS, photovoltaic-based DG, and wind turbine-based DG in an ADN is taken into account. The main goal of this paper is to maximize the net present value of the loss reduction benefit by considering the price of electricity for each load state. The proposed framework consists of a scenario tree method for covering the existing uncertainties in the distribution network's load demand as well as DG. The collected results verify the considerable effect of concurrent installation of probabilistic DG models and an ESS in defining the optimum site of DG and the ESS and they demonstrate that the optimum operation of an ESS in the ADN is consequently related to the highest value of the loss reduction benefit in long-term planning as well. The results obtained are encouraging.

• Korean Journal of Human Ecology
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• v.15 no.5
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• pp.835-847
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• 2006

The aim of this study is to examine the tween generation's (11 to 15 years-old) clothing purchase tendency. Based on the questionnaire, the data were collected from 187 elementary school students(11 to 12 years-old) and from 293 middle school students(13 to 15 years-old) in Jeonbuk. The data were analyzed with the factor analysis, Chi-square analysis, t-test, F-test. The research shows: the tween generation rarely if ever buy their clothing by themselves, and they usually accompany their mothers when they purchase their clothes. In the 'size fitness', girl tweenage group prefers a perfect fit to an easy one. But boy tweenage group shows a different tendency from them. In the 'fashion adaption', the tweenage group of 13 to 15 year-olds responds in a sensitive way. The 'style', 'design' and 'color' of clothing are the most decisive factors in their purchasing trend. Especially, the boy tweenage group prioritize the factors in the order of 'brand value', 'price' and 'trend'.