• Resources Recycling
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• v.16 no.1 s.75
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• pp.15-27
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• 2007

The Korean Auto industry has developed remarkably over the past 30 years. In 2005 alone, Korea produced 3.7 million vehicles, and the number of vehicles registered surpassed the 15 million marks. The rapid growth in registration, however, has given increasing problems to the traffic congestion and the environmental pollution. The system for handling of ELV in Korea is governed by the 'Motor management law'. The law places the responsibility for vehicle scrapping directly on the vehicle owners. The take-back rate of ELV reaches nearly 100% in Korea since 1987. To further entourage recycling, the government introduced the extended producer responsibility system(EPRS) starting January 1, 2003, which imposes waste recycling obligations on producers or importers. According to the system, producers must recycle home appliances and packaging materials. This system, however, did not involve the automobiles. In 2006, the automobiles recycling law is under preparing now by the government. This article is concerning current status for End-of-Life vehicle's recycling and the recycling system model for advanced ELV industries in Korea.

• Resources Recycling
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• v.20 no.2
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• pp.16-29
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• 2011

The Korea auto industry has developed remarkedly over the past 40 years and ranked up to 5th vehicles production nation in the world. In 2009 alone, Korea produced 3.5million vehicles and number of vehicles registered surpassed the seventeen million. On the other hand, 711 thousand ELV(End of Life Vehicles) were scrapped and used cars more than 265 thousand were exported. In the year 2009, 568 thousand tons of iron, 46 thousand tons of aluminum and 7 thousand tons of copper were recovered from ELV in Korea. Recycling ratio of ELV is approaching 95% by using ASR(Automobile Shredding Residue) as a fuel at cement kiln. Korea has enacted the automobile recycling law in 2007 and enforced it from January 2009, actually. However, the law has not been managed smoothly due to delays in the construction of infrastructure and the existence of a hostile monitoring system. In this regard, a revision and supplement program focused on recycling fee on the automobile recycling law is running under the ministry of environment now. Here, a recycling model for enhancing ELV recycling is suggested.

• KIEAE Journal
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• v.2 no.3
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• pp.25-32
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• 2002

The demand for water in a city area has enormously increased due to the concentration of population and improvement of the living quality. In this reason, the water shortage and the pollution by city sewage seem to be inevitable. For saving city water and meeting the demands from the city, the wastewater recycling system can be used, which makes used water reusable by a certain purification process. In Korea, the application of a wastewater recycling system to the buildings has continuously been adopted since its first appearance at the Lotte World Complex in 1989. However, the system has not been in fashion because of its high cost and users' negative attitude against recycled water. A research based on literature review and a case study for a recycling water system was carried out and an estimation and evaluation model was proposed. The results from the present study suggest that the optimal size of the recycling water system should be designed within 30-40% of total water demand in a building. Also, it was found that economic benefits could be expected within the payback period of 5.3 years by securing the operation rate over 70%.

• 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.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.848-851
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• 2003

In this paper, a separating system for used CRT recycling is presented. Depend on manufacturer CRTs has small differences in dimension for the same model, but the dimensions of the panel are nearly same. To simplifying configuration of the system, we developed CRT fixing pallets for every model of CRT. The height of cutting position for every model of CRT will be same. The cutting machine has two rotating arm and use metal-bond type diamond cutting wheel. Instead of water, two vortex tube type air-coolers are used for the cooling of cutter. Workers in recycling factory are generally old people. Therefore, control program should be easy to use and operate. Thus we developed GUI with very simple interface.

• Industrial Engineering and Management Systems
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• v.9 no.4
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• pp.303-311
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• 2010

In the last few years growing interest has been dedicated to supply chain management. Modeling complexity is added to supply chain coordination problem by accounting for reverse logistics activities. The objective of this paper is to extend inventory model of manufacturing factory with respect to the production of raw material of forward logistics and recycling material of reverse logistics. The proposed model is applied to a plastic recycling process plant located in Taiwan. The case study improvement scheme shows when the recycling rate of recycling material increases from 15% to 50%, the total inventory cost of manufacturing factory decreases by 12.82%, safety stock volume decreases by 41.19% and the reorder quantity is down by 50.96%. This paper finds whether the results of the model can reach the economic profit through quantitative analysis and encourages companies integrate reverse logistics into the supply chain system.

• Proceedings of the KIEE Conference
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• 1998.07a
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• pp.55-57
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• 1998

Molten carbonate fuel cell (MCFC) power plant is expected to be one of the most promising future power generation system for the electric utilities because of its high efficiency, environmental suitability and capability of using coal as fuel. To get such attractive performance, it is necessary to consider optimizing operation and gas recycling system. This paper describes the simulation results of 7 kW MCFC stack in KEPRI and the effects of the three possible gas recycling operations, i.e. cathode gas recycling, anode gas recycling, anode gas recycling with catalytic burner.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.683-685
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• 2022

By comparing the status quo of recycling of new energy vehicles and waste power batteries at home and abroad, analyze the central relationship between recycling of waste power batteries and the interaction between various factors in China, consider the characteristics of blockchain technology, organically integrate into the reverse recycling network, and quantify the relevant factors. Make use of the constructed model to simulate, forecast, and compare and analyze whether to adopt blockchain technology and, on this basis, analyze the intrinsic relationship between various variables. To explore the different effects brought by changing different countermeasures according to different subjects, and expand it to the factor analysis in the whole reverse recycling supply chain to help the government and operators and enterprises to make more objective and scientific decisions, to provide a particular reference for promoting the recycling of waste power batteries and the development of power battery manufacturing industry in China.

• Proceedings of the IEEK Conference
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• 2001.10a
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• pp.693-698
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• 2001

This paper establishes a coding method system including the liberation and size distribution of recycling materials in the shredder operation. Every particle in the shredded product becomes a code number using the liberation model and size distribution equation transforming of weight percentage into particles number percentage. One set of database can be obtained after all particles have been coded. This database is suitable for the size reduction operation in the process simulation of waste recycling. Coupling with the developed air classification, sizing and separating operations, the whole process simulation will be completely established for diversified application. A typical simulation for the rolling cutting shredder product of waste TV had been demonstrated under this coding system. The breakage size distribution of Gaudin and Schumann equation were selected for the shredding operation simulation. The Gaudin's liberation model was suitable fur the liberation simulation. Both of these equations were transformed weight percentage into particles distribution for the necessary of particle coding method. A better recycling operation for this shredded solid waste can be concluded from the comparison of simulation results with their sorted grade, recovery or economic of materials in different processes.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.382-384
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• 2021

In this study, we implement a system that automatically classifies types of plastics using YOLO (You Only Look Once), a real-time object recognition algorithm. The system consists of Nvidia jetson nano, a small computer for deep learning and computer vision, with model trained to recognize plastic separation emission marks using YOLO. Using a webcam, recycling marks of plastic waste were recognized as PET, HDPE, and PP, and motors were adjusted to be classified according to the type. By implementing this automatic classifier, it is convenient in that it can reduce the labor of separating and discharging plastic separation marks by humans and increase the efficiency of recycling through accurate recycling.