• Journal of Fisheries and Marine Sciences Education
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• v.27 no.6
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• pp.1812-1821
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• 2015

In this study, we evaluate the eco-efficiency for recycling processes of Busan Resources Recycling Center for each year from 2010-2012. It analyze the impact of global warming on the power consumption by Life Cycle Assessment. Also calculate the economic value by net profit components those are sales amount and electric charge in accordance with the process operation. On the basis of these results, each of the eco-efficiency Factor analysis and dynamics analysis of 2011 and 2012 as the base year to 2010 are performed. As a result, the impact of global warming in all the recycling processes is increased by increasing power consumption 2010-2012. But net profit is decreased. In addition, the eco-efficiency of all the recycling processes is decreased and analysis result of the eco-efficiency trends is located on the Fully non Eco-efficiency (--) level. Therefore, all the recycling processes are necessary improvement for power consumption reducing and net profit increasing to further the environmental and economically sustainable direction.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2001.04a
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• pp.226-229
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• 2001

For volume reduction of the wastewater generated on washing the soil contaminated with cobalt, recycling and reuse experiments of the wastewater were executed. Also. the soil remediation efficiency by repetitive washing with fresh citric acid was analyzed. The soil around TRIGA was sampled for the experiment. Results of recycling experiment by replacement-precipitation method were as follows. The remediation efficiency of 1st recycling wastewater was 97% and that of 2nd recycling wastewater was 94%. Also, To obtain remediation efficiency over than 90%, the 5th repetitive washing with fresh citric acid was needed.

• Resources Recycling
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• v.22 no.4
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• pp.55-61
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• 2013

In this study, eco efficiency analysis is performed to analyze Neodymium (Nd) containing permanent magnet recycling process. Life cycle assessment (LCA) and life cycle costing (LCC) are used to apply eco efficiency analysis. In the environmental aspects, global warming potential (GWP) of 1kg permanent magnet is 1.25E + 00 kg $CO_2$ eq. and abiotic resource depletion potential (ADP) is 1.10E - 02 Sb eq. This recycling process costs about 2130 KWR. Environmental efficiency of GWP is at 6.43 and ADP is at 5.32 when compared with vigin metal. Economic efficiency is at 6.74. This study confirms that Nd containing permanent magnet recycling process is sustainable system because of environmental and economical improvement.

• Journal of environmental and Sanitary engineering
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• v.12 no.2
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• pp.23-28
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• 1997

This study was conducted to know the possibility of reducing lime dosage by recycling sludge from bleaching wastewater lime coagulation settlement treatment at pulp mill process. In case of bleaching wastewater at the pulp mill process, when the lime dosage was increased, the removal efficiency of TSS(Total Suspended Solids) was increased, proportionally, but the organic removal efficiency was increased very slowly. It was concluded that sludge recycling at the lime coagulation settlement process was effective method to reduce the requirement of lime dosage. At the lime coagulation settlement process with sludge recycling, when the recycling number was increased, the organic removal efficiency was decreased, sharply. It was evaluated that the pH could be the basic standard for lime supplement by sludge recycling.

• Resources Recycling
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• v.22 no.3
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• pp.3-17
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• 2013

Recently, the importance of efficient resource management has been highlighted due to the uncertainty of its security. Korea has thus made an effort to improve the resource productivity in various fields such as the increase of recycling rate and the establishment of methodical resource management system. It is still necessary to draw the innovative improvement measure of national resource efficiency. This study derives major issues of recycling potential in the domestic industry by analyzing the current status of generation, treatment and recycling of industrial wastes in Korea. Futhermore, main tasks for promoting the improvement of national resource efficiency through the recycling of industrial wastes in Korea have been proposed based on the results of this study with the comparison of Japan's situation.

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.253-260
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• 1999

The recycling cell formation problem means that disposal products me classified into recycling part families using group technology in their end of life phase. Disposal products have the uncertainties of product status by usage influences during product use phase and recycling cells are formed design, process and usage attributes. In order to treat the uncertainties, fuzzy set theory and fuzzy logic-based neural network model are applied to recycling cell formation problem far disposal products. In this paper, a heuristic approach fuzzy ART neural network is suggested. The modified fuzzy ART neural network is shown that it has a great efficiency and give an extension for systematically generating alternative solutions in the recycling cell formation problem. We present the results of this approach applied to disposal refrigerators and the comparison of performances between other algorithms. This paper introduced a procedure which integrates economic and environmental factors into the disassembly of disposal products for recycling in recycling cells. A qualitative method of disassembly analysis is developed and its ai is to improve the efficiency of the disassembly and to generated an optimal disassembly which maximize profits and minimize environmental impact. Three criteria established to reduce the search space and facilitate recycling opportunities.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.03a
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• pp.253-260
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• 1999

The recycling cell formation problem means that disposal products are classified into recycling part families using group technology in their end of life phase. Disposal products have the uncertainties of product status by usage influences during product use phase and recycling cells are formed design, process and usage attributes. In order to treat the uncertainties, fuzzy set theory and fuzzy logic-based neural network model are applied to recycling cell formation problem for disposal products. In this paper, a heuristic approach for fuzzy ART neural network is suggested. The modified Fuzzy ART neural network is shown that it has a great efficiency and give an extension for systematically generating alternative solutions in the recycling cell formation problem. We present the results of this approach applied to disposal refrigerators and the comparison of performances between other algorithms. This paper introduced a procedure which integrates economic and environmental factors into the disassembly of disposal products for recycling in recycling cells. A qualitative method of disassembly analysis is developed and its aim is to improve the efficiency of the disassembly and to generated an optimal disassembly which maximize profits and minimize environmental impact. Three criteria established to reduce the search space and facilitate recycling opportunities.

• Journal of Korean Society for Quality Management
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• v.38 no.2
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• pp.212-224
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• 2010

After the introduction of Volume-based Waste Fee System for municipal wastes, the disposal of food wastes became an issue in society. As this reason, recycling food wastes facilities play an important role such as converting of food waste into animal feed or composting of food waste. Therefore, there is need of efficiency measurement of the facilities to reduce the inefficiency of factors. The purpose of this paper is to make a reasonable suggestion for the improvement of inefficient recycling food wastes facilities. This paper assesses the relative efficiency of recycling food wastes facilities by examining the relationship between inputs and outputs in 41 facilities using data envelopment analysis(DEA). The result shows that 4 facilities whose values of CCR efficiency are 1, and 10 facilities whose values of BCC efficiency are 1, RTS indicates IRS of 17 facilities and CRS of 6 facilities.

• Journal of Environmental Health Sciences
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• v.37 no.1
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• pp.64-72
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• 2011

This study was performed to assess the removal efficiency on nitrogen, phosphorus and organic carbon in wastewater by spatial separation and internal recycling in a modified oxidation ditch process (modified OD). The performances of the modified OD were evaluated via laboratory-scale experiments. The process was operated at hydraulic retention times of 6-48 hours and solid retention times of 17-38 days. We found that organic carbon removal efficiency increased after the modified OD operation period. T-N removal efficiency remained stable; average T-N concentration of effluent was 8.02 mg/l after modified OD operation. In contrast, T-P concentration of effluent was over 1 mg/l. Nitrogen and phosphorus removal efficiency of modified OD at HRT 12 hr were 83.1% and 74.1%, respectively. Also, maximum efficiency was found at SRTs from 20 to 30 days. T-N removal efficiency was 83.1% at a C/N ratio from 3.0 to 3.5. However, T-N removal efficiency decreased at C/N ratios over 3.5. Also, T-P removal efficiency increased with HRT at C/P ratios in the same condition. Maximum efficiency was 74.1% at a C/P ratio from 25 to 28. T-N removal efficiency was 79.2% and T-P removal efficiency was 65.3% after M4 mode operation (added to the internal recycle line connected to the anoxic reactor). The modified OD with spatial separation and internal recycling developed in this study is, therefore, believed to be an improvement for solving problems in the nutrient removal technologies.

• Journal of the Korean Applied Science and Technology
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• v.28 no.1
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• pp.6-9
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• 2011

Step feed process was analyzed stoichiometrically for the optimal operation conditions in this study. In case of optimal operation conditions, minimum R (sludge recycling) value, r (internal recycling ratio) value, and n (influent allocation ratio) value for the step feed process to acquire the maximum TN removal efficiency were identified by theoretical analysis. Maximum TN removal efficiency, based on stoichiometric reaction, can be obtained by controlling n value for the step feed process.