• Title/Summary/Keyword: Data Recycling

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Plastic recycling in South Korea: problems, challenges, and policy recommendations in the endemic era

  • Uhram Song;Hun Park
    • Journal of Ecology and Environment
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    • v.48 no.1
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    • pp.74-84
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    • 2024
  • Background: Despite many environmental problems, plastic waste emissions have been a significant surge during last few decades in the Republic of Korea. Furthermore, the emergence of the coronavirus disease 2019 (COVID-19) pandemic has lead to an increased use and disposal of plastic waste worldwide. This paper tried to present summarized data related to the production and disposal of plastics especially before and after the COVID-19 pandemic with environmental impacts of plastics. Also, review of plastic waste reduction policies and feasible policies to promote an act for a safe, sustainable environment are presented. Results: Plastics cause many environmental problems due to their non-degrading properties and have a huge direct and indirect impact on Ecosystems and Public Health. Microplastics need a lot of attention because their environmental effects are not yet fully identified. Despite plastic's significant impact on climate change, the impact is not yet widely known to the public. Since the COVID-19 pandemic, the use of plastic has surged and recycling has decreased due to the increase in delivery food and online shopping. Korea is introducing very active plastic and waste management policies, but it is necessary to implement more active policies by referring to the cases of other countries. Conclusions: In this article, we have scrutinized the evolution of plastic waste generation in the aftermath of the COVID-19 pandemic and delved into policy frameworks adopted by other nations, which South Korea can draw valuable lessons from. The formidable challenges posed by plastic waste, the remarkable shifts witnessed during the COVID-19 era, and the multifaceted response strategies elucidated in this paper all play a pivotal role in steering South Korea toward a sustainable future.

Characterization of Leaching of Heavy Metal and Formation of Acid Mine Drainage from Coal Mine Tailings (석탄폐석(石炭廢石)으로부터 산성광산배수(酸性鑛山排水)의 생성과 중금속(重金屬)의 용출(溶出) 특성(特性))

  • Lee, Gye-Seung;Song, Young-Jun
    • Resources Recycling
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    • v.19 no.2
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    • pp.54-62
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    • 2010
  • In order to obtain the basic data for recycling of coal mine tailings, the characteristics of coal mine tailings, the formation of AMD from the tailings and the leaching of heavy metal from the tailings were studied. The samples were characterized in terms of chemical composition, mineral composition and content of heavy metal of the tailings were investigated. The effects of time, temperature, content of pyrite, sulfide minerals on the formation of AMD were also investigated. For the leaching tests, the KS method, TCLP method and column test were used. From the investigated data, we can see that the coal mine tailings can be used as aggregate for filling used gallery. We can also see that the formation of AMD from coal mine tailings can be prevented by mixing 4% or more limestone with it.

Modeling of Recycling Oxic and Anoxic Treatment System for Swine Wastewater Using Neural Networks

  • Park, Jung-Hye;Sohn, Jun-Il;Yang, Hyun-Sook;Chung, Young-Ryun;Lee, Minho;Koh, Sung-Cheol
    • Biotechnology and Bioprocess Engineering:BBE
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    • v.5 no.5
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    • pp.355-361
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    • 2000
  • A recycling reactor system operated under sequential anoxic and oxic conditions for the treatment of swine wastewater has been developed, in which piggery slurry is fermentatively and aerobically treated and then part of the effluent is recycled to the pigsty. This system significantly removes offensive smells (at both the pigsty and the treatment plant), BOD and others, and may be cost effective for small-scale farms. The most dominant heterotrophic were, in order, Alcaligenes faecalis, Brevundimonas diminuta and Streptococcus sp., while lactic acid bacteria were dominantly observed in the anoxic tank. We propose a novel monitoring system for a recycling piggery slurry treatment system through the use of neural networks. In this study, we tried to model the treatment process for each tank in the system (influent, fermentation, aeration, first sedimentation and fourth sedimentation tanks) based upon the population densities of the heterotrophic and lactic acid bacteria. Principal component analysis(PCA) was first applied to identify a relationship between input and output. The input would be microbial densities and the treatment parameters, such as population densities of heterotrophic and lactic acid bacteria, suspended solids(SS), COD, NH$_4$(sup)+-N, ortho-phosphorus (o-P), and total-phosphorus (T-P). then multi-layer neural networks were employed to model the treatment process for each tank. PCA filtration of the input data as microbial densities was found to facilitate the modeling procedure for the system monitoring even with a relatively lower number of imput. Neural network independently trained for each treatment tank and their subsequent combined data analysis allowed a successful prediction of the treatment system for at least two days.

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A Basic Study on Sorting of Black Plastics of Waste Electrical and Electronic Equipment (WEEE) (폐가전의 검정색 플라스틱 재질선별에 관한 기초 연구)

  • Park, Eun Kyu;Jung, Bam Bit;Choi, Woo Zin;Oh, Sung Kwun
    • Resources Recycling
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    • v.26 no.1
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    • pp.69-77
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    • 2017
  • Used small household appliances(small e-waste) consists of a variety of complex materials and components. The small e-waste is mainly composed of plastics and an important potential source of waste plastic. The black plastics, particularly are very difficult to separate by resin type and therefore these are mainly recycled in the form of a mixtures. In the present study, the sorting technologies such as gravity and electro static separation, near-infrared ray(NIR) and IR/Raman optical sorting separation on mixture of black plastics were analyzed and their limitations on sorting process were also investigated. The Laser Induced Breakdown Spectroscopy(LIBS) spectrum of each black plastics was used for identification of black plastics by resin type, and after analyzing the normalization operation, Principal Component Analysis(PCA) was carried out. The spectrum data was optimized through PCA process. In order to improve the identification accuracy and sorting efficiency of black plastics, it is necessary to design a classifier with high efficiency and to improve the performance and reliability of the classifier by applying the field of intelligent algorithms.

Study on Thermodynamic Properties of Sulfidization for Uranium and Rare Earth Oxides (우라늄 및 희토류(稀土流) 산화물(酸化物)의 황화반응(黃化反應)에 대한 열역학적(熱力學的) 고찰(考察))

  • Lee, Jung-Won;Lee, Jae-Won;Kang, Kweon-Ho;Park, Geun-Il
    • Resources Recycling
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    • v.21 no.1
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    • pp.66-74
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    • 2012
  • In order to evaluate the feasibility of selective sulfidization of uranium and rare-earth(RE) oxides, an analysis on thermodynamic data, such as $M-O_2-S_2$ phase stability diagram and changes of Gibbs free energy for sulfidization of uranium and rare-earth oxides were carried out. Comparing $RE-O_2-S_2$ with $U-O_2-S_2$ phase stability diagram at wide range of sulfur potential, $UO_2$ remains unreacted, while RE oxides are sulfidized. The Gibbs free energy change(${\Delta}G^{\circ}$) of sulfidization of RE oxides is lower than that of uranium oxides. Thus, the selective formation of RE sulfides is possible during sulfidization of RE and uranium oxides at lower temperature. $CS_2$ was selected as a sulfidizing agent, because it is a stronger sulfidizing agent than other agents and reacts at lower temperature.

Improvement of LMS Algorithm Convergence Speed with Updating Adaptive Weight in Data-Recycling Scheme (데이터-재순환 구조에서 적응 가중치 갱신을 통한 LMS 알고리즘 수렴 속 도 개선)

  • Kim, Gwang-Jun;Jang, Hyok;Suk, Kyung-Hyu;Na, Sang-Dong
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.9 no.4
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    • pp.11-22
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    • 1999
  • Least-mean-square(LMS) adaptive filters have proven to be extremely useful in a number of signal processing tasks. However LMS adaptive filter suffer from a slow rate of convergence for a given steady-state mean square error as compared to the behavior of recursive least squares adaptive filter. In this paper an efficient signal interference control technique is introduced to improve the convergence speed of LMS algorithm with tap weighted vectors updating which were controled by reusing data which was abandoned data in the Adaptive transversal filter in the scheme with data recycling buffers. The computer simulation show that the character of convergence and the value of MSE of proposed algorithm are faster and lower than the existing LMS according to increasing the step-size parameter $\mu$ in the experimentally computed. learning curve. Also we find that convergence speed of proposed algorithm is increased by (B+1) time proportional to B which B is the number of recycled data buffer without complexity of computation. Adaptive transversal filter with proposed data recycling buffer algorithm could efficiently reject ISI of channel and increase speed of convergence in avoidance burden of computational complexity in reality when it was experimented having the same condition of LMS algorithm.

A Study on Maintainability Improvement for Underwater Weapon Training Vehicle (수중무기 훈련탄의 정비성 향상방안 연구)

  • Jeong, Jinseob
    • Journal of the Korea Institute of Military Science and Technology
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    • v.16 no.2
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    • pp.111-117
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    • 2013
  • In this paper, we have proposed novel technique to improve maintainability for training vehicle of underwater weapon system. In case of under water weapon, the fire procedure is related with operation of expulsion system in submarines. So the submarine crews should practice the complex fire procedure of weapon system by using training vehicle, which is safer and cheaper than operational weapon. After emitted from submarine, the training vehicle rise to the surface and should be withdrawn from the sea. The recovered training vehicle is transported to maintenance depot and pass through the recycling procedure including disassembling the vehicle, data acquisition & analysis, battery charge, replacing expandable components, testing the captive equipment, and assembling the vehicle. The disassembling & assembling of training vehicle which is composed of watertight section or airframe, is time-consuming work. So in this paper, we have studied the elements of recycling procedure and propose the method to exclude the assembling & disassembling work for maintainability improvement.

An Experimental Study on the Reuse of Recycling Water of Reacy Mixed Concrete such as Concrete Water (I) -A Case Study on the Mortar- (레미콘 회수수의 콘크리트 용수로써의 재활용에 관한 실험적 연구 (I) -모르터 적용실험을 중심으로-)

  • 김기철;윤기원;류현기;한천구;반호용
    • Proceedings of the Korea Concrete Institute Conference
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    • 1994.04a
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    • pp.191-196
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    • 1994
  • This study is designed for analyzing the mechanical properties of cement mortar with kind of water, sludge content for the water, mixing proportion and open time of recycling water. And this study is aimed for presenting the reference data in practical use. For the results of this study, the flow properties of fresh mortar and the strength of compresive of hardened mortar is increased until the sludge content 4.5~6.0, but is decreased after the sludge content of that.

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Research for Bill of Material of Train Tilting express development (틸팅 차량 설계를 위한 부품관리 체계 구축 연구)

  • Song, Yong-Su;Han, Seong-Ho;Jeong, Yu-Jin
    • 시스템엔지니어링워크숍
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    • s.4
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    • pp.159-162
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    • 2004
  • In order to care about preserving the environment for future generations, each country has been required to make the laws of the environment. So manufacturers must design, manufacture and sell goods 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 train parts. This research focused on two system. One is JAVA-based electronic catalog that give the information about recycling of train parts. The other is product structure and configuration management system based on electronic catalog and Bill of Materials(B.O.M)

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A Study on Environment-Friendly Family Resource Management Behaviors, Environmental Consciousness, Knowledge, and Education (환경친화적 가정자원 관리행동과 환경의식, 환경지식, 환경교육*)

  • 이상협
    • Journal of Families and Better Life
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    • v.21 no.1
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    • pp.91-102
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    • 2003
  • The main purpose of this research was to examine the variables that influence environment-friendly management behaviors of family resources. For this study, environment-friendly management behaviors were classified into four categories: buying, using, recycling and disposal. Another purpose of this study was to find out the levels of environmental education, environmental knowledge, and environmental consciousness among household managers. In order to determine the levels, a structured survey questionnaire was administered and data were collected from 391 housewives who live in Seoul and Jeonju. The results show that environmental consciousness and environmental knowledge affected buying and disposal behavior. There was a significant difference in using behavior by the degree of environmental consciousness. The variables that affected recycling behavior were environmental education and environmental consciousness. The level of environmental awareness was highest in ! environmental consciousness, second highest in environmental knowledge, and lowest in environmental education.