• Journal of Environmental Science International
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• v.25 no.12
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• pp.1643-1651
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• 2016

It is important to understand consumer attitudes associated with their eco-friendly behavior on account of not only environmental reasons, but also corporate aspects. In this study, we examine the relations between variables influencing eco-friendly attitudes and eco-friendly behavioral intentions, namely, recycling, reusing, and reducing (3R). We first, performed a theoretical consideration through reviews of literature on ethical identity, ethical obligation, altruism, and eco-friendly attitudes, and behavioral intentions. Based on the literature review, we designed a study model and drew hypotheses. Further, we collected data using a survey and processed them statistically in order to verify the hypotheses. A total of 265 samples were collected and the data were analyzed using a structural equation model (-LISREL 8.70). The results suggest that ethical identity and altruism significantly influence environmental attitudes. However, the effects of ethical obligations on eco-friendly attitudes are insignificant. The environmental attitudes have a significant effects on the consumer behavioral intention for recycling, reusing, and reducing. Although this study has some limitations, it is expected that it will positively trigger follow-up research.

• Journal of Korean Society of Water and Wastewater
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• v.38 no.1
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• pp.1-15
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• 2024

Occurrence of process environment changes, such as influent load variances and process condition changes, can reduce treatment efficiency, increasing effluent water quality. In order to prevent exceeding effluent standards, it is necessary to manage effluent water quality based on process operation data including influent and process condition before exceeding occur. Accordingly, the development of the effluent water quality prediction system and the application of technology to wastewater treatment processes are getting attention. Therefore, in this study, through the multi-channel measuring instruments in the bio-reactor and smart multi-item water quality sensors (location in bio-reactor influent/effluent) were installed in The Seonam water recycling center #2 treatment plant series 3, it was collected water quality data centering around COD, T-N. Using the collected data, the artificial intelligence-based effluent quality prediction model was developed, and relative errors were compared with effluent TMS measurement data. Through relative error comparison, the applicability of the artificial intelligence-based effluent water quality prediction model in wastewater treatment process was reviewed.

• Proceedings of the KSME Conference
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• 2001.06c
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• pp.229-234
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• 2001

In order to care about preserving the environment for future generations, each country has been required to make the laws of the environment. So car manufacturers must design, manufacture and sell cars and trucks that meet customer's need and must do this while meeting the needs of the environment. In this research we have developed product structure and configuration management system that treats electronic catalogs for recycling of automobile parts. This research focused on two system. One is XML-based electronic catalog that give the information about recycling of automobile parts. The other is product structure and configuration management system based on electronic catalog.

• Resources Recycling
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• v.26 no.3
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• pp.3-16
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• 2017

Chemical catalyst products are applied to various fields such as petrochemical process, air pollution prevention facility and automobile exhaust gas purifier. The domestic and overseas chemical catalyst market is increasing every year, and the amount of waste catalyst generated thereby is also increasing. Most of the used chemical catalyst products, such as desulfurized waste catalysts and automobile waste catalysts containing valuable metals are important recyclable resources from a substitute resource point of view. The recycling processes for recovering valuable metals have been commercialized through some urban mining companies, and SCR denitration catalysts have been recycled through some remanufacturing companies. In this paper, the amount of domestic production and recycling of major catalyst products have thus been investigated and analyzed so as to be used as basic data for establishing industrial support policy for recycling of used chemical catalyst products. Also tasks for promoting the recycling of used chemical catalyst products are suggested.

• Resources Recycling
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• v.14 no.2
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• pp.43-55
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• 2005

As world population increases and the world economy expalds, so does the demand for natural resources especially strategic metals such as cobalt. An accurate assesment of the nation's minerals must include not only the resources available in the ground but also those that become available through recycling. In this paper, data on domestic and international supply of cobalt and its applications by end-user were analyzed for stable security of cobalt resources and effective recycling of cobalt scraps. Also, an initial evaluation of the flow of cobalt-containing materials in the United States was prepared. In 2003, 8,000 metric tons of cobalt were consumed in the United States and an estimated 28% of U.S. cobalt supply was derived from scrap. The superalloy industry and catalyst industries have well-established recycling or cobalt recovery practices. Recycling rates of cobalt scraps from magnet alloy and cemented carbide were relatively low.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.1
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• pp.22-33
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• 2005

In this paper, an efficient signal interference control technique to improve the high convergence speed of LMS algorithms is introduced in the adaptive transversal filter of DS/SS. The convergence characteristics of the proposed algorithm, whose coefficients are multiply adapted in a symbol time period by recycling the received data, is analyzed to prove theoretically the improvement of high convergence speed. According as the step-size parameter ${\mu}$ is increased, the rate of convergence of the algorithm is controlled. Also, an increase in the stop-size parameter ${\mu}$ has the effect of reducing the variation in the experimentally computed learning curve. Increasing the eigenvalue spread has the effect of controlling which is downed the rate of convergence of the adaptive equalizer. Increasing the steady-state value of the average squared error, proposed algorithm also demonstrate the superiority of signal interference control to the filter algorithm increasing convergence speed by (B+1) times due to the data-recycling LMS technique.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.6 no.2
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• pp.88-94
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• 2013

In this paper, an efficient signal interference control technique to improve the convergence speed of LMS algorithm is introduced. The convergence characteristics of the proposed algorithm,whose coefficients are multiply adapted in a symbol time period by recycling the received data,are analyzed to prove theoretically the improvement of convergence speed. According as thestep-size parameter ${\mu}$ is increased, the rate of convergence of the algorithm is controlled. Increasing the eigenvalue spread has the effect of controlling down the rate of convergence of the adaptive equalizer and also increasing the steady-state value of the average squared error and also demonstrate the superiority of signal interference control to the filter algorithm increasing convergence speed by (B+1) times due to the data-recycling LMS technique.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.9A
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• pp.1329-1338
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• 1999

In this paper, an efficient signal interference control technique to improve the convergence speed of LMS algorithm is introduced. The convergence characteristics of the proposed algorithm, whose coefficients are multiply adapted in a symbol time period by recycling the received data, are analyzed to prove theoretically the improvement of convergence speed. According as the step-size parameter $\mu$ is increased, the rate of convergence of the algorithm is controlled. Also, a increase in the step-size parameter $\mu$ has the effect of reducing the variation in the experimentally computed learning curve. Increasing the eigenvalue spread has the effect of controlling down the rate of convergence of the adaptive equalizer and also increasing the steady-state value of the mean squared error and also demonstrate the superiority of signal interference control to the filter algorithm increasing convergence speed by (B+1) times due to the data-recycling LMS technique.

• Clean Technology
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• v.3 no.1
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• pp.88-95
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• 1997

Energy required, air emission, and solid waste generation are calculated with available foreign data ad domestic status using Life Cycle Analysis in order to compare the environmental impact of beverage containers such as PET bottle, aluminum can, glass bottle, and paper pack. Glass bottles are found to be the worst acceptability when considering only recycling rate of glass cullet, however it becomme the best when the refill(reuse) rate of glass bottles is accounted into. To assess tile current and future environmental impact of beverage containers, energy required, air emission, solid waste generation of current data and recycling goals are compared. As a result of the study, recycling of each containers and the reuse of glass bottles must be increased by governmental enforcement to reduce the environmental impacts by beverage containers. Further study on this subject using detailed LCA(life cycle assessment) data should be implemented for the exact environmental and economic assessment.

• Resources Recycling
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• v.20 no.5
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• pp.3-15
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• 2011

This study describes the national municipal solid waste stream of the United States based on data collected and published by EPA for 1960 through 2009. This paper characterizes the municipal solid waste stream of the nation as a whole, and can be useful for understanding the nationwide stream of America. Among the various materials contained in MSW, recycling status of the major materials of paper and paperboard, glass, metals, plastics, food scraps and yard trimmings are discussed somewhat more minutely.