• Title/Summary/Keyword: 쓰레기 수거 관리 시스템

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IoT based Garbage Collection Management System Through Volume Prediction (부피 예측을 통한 IoT기반 쓰레기 수거 관리 시스템)

  • Moon, Mikyeong
    • The Journal of Korean Institute of Next Generation Computing
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    • v.13 no.1
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    • pp.45-53
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    • 2017
  • The Internet of Things (IoT) technology allows devices connected to the Internet to exchange information without human intervention, and to provide useful services to people. Currently, garbage trucks are regularly dispatched to collect garbage. In such a case, garbage may be less than half of the garbage collection capacity in some area, and garbage may be exceeded in another area so that garbage trucks can not collect all at once. In this paper, we have studied the method of estimating the amount of garbage to be collected and describe the development contents of the product and management system. The prediction of garbage volume was made possible by using IoT technology to measure the volume of garbage in real time. In addition, the measurement values are visibly displayed through the dashboard, so that the amount of garbage generated can be predicted and managed. This will allow IoT technology to help keep street hygiene.

An Exploration on Food Waste Management of Local Governments (전국 지방자치단체의 음식물쓰레기 관리 분석)

  • Oh, Jeongik;Lee, Hyunjeong
    • Journal of Korean Society of Environmental Engineers
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    • v.38 no.3
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    • pp.101-109
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    • 2016
  • This research is to explore food waste management across local governments. In particular, pubic administration on food waste, food waste management (from generation to disposal) and civil complaints in jurisdiction are examined. In doing so, a self-administered questionnaire survey was conducted among civil officers in charge of food waste management, and all the collected responses were statistically analyzed. The main results were as follows: public spending on food waste management was a little larger in metropolises than in provincial cities, and the largest food waste source was identified as households (in housing). While regular collection of food waste by trucks was the most common transport method adopted by local governments, resource recovery for compost/fertilizer production was widely used. Also, most of the respondents agreed that the current approach to food waste handling practices are necessarily replaced with more advanced technology converting waste into energy or fuel. Further, it's found that the civil complaints on food waste management were largely categorized into 3 groups - food waste handling, civil service and food waste retrieval. Therefore, the findings indicate that the development and application of no-food waste or waste-to-resource systems are effective in housing estates where large amount of food waste is generated and eliminated.

An Explicit Free Method for the Garbage Objects in Java-based Embedded System (자바기반 내장형 시스템에서 쓰레기 객체의 명시적 자유화 방법)

  • Bae, Soo-kang;Lee, Sung-young
    • The KIPS Transactions:PartA
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    • v.9A no.4
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    • pp.441-450
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    • 2002
  • As the size of embedded system software increase bigger and bigger, and it's complexity is grower and grower, the usage of dynamic memory management scheme such collector also has been increased. Using the garbage collector, however, inherently lead us performance degradation. In order to resolve this kind of performance problem in the Java based embedded system. we introduce an explicit dynamic memory free method to the automated dynamic memory management environment. which can be performed by a programmer. In the worst case, the prosed scheme shows the same performance as the case of that only garbage collector is working, since the unclaimed garbage objects will eventually be collected later by the garbage collector. In the best case. our method is free from any runtime overhead because the applications can be implemented without any intervention of the garbage collector. Although the proposed method can be facilitated with all the existing garbage collection algorithms, it shows an outperform in the case of mark-and-sweep algorithm.

Food Waste Management and Public Dissemination of Zero-Food Waste System in Multifamily Housing Estates (공동주택단지의 음식물쓰레기 관리 실태 및 지방자치단체의 음식물쓰레기 무배출 시스템 도입 의향 분석)

  • Oh, Jeongik;Lee, Hyunjeong
    • Journal of Korean Society of Environmental Engineers
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    • v.38 no.5
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    • pp.219-227
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    • 2016
  • As the largest source of food waste is housing, and the food waste properties are good enough to recycle, the proactive approach to conventional food waste disposal is highly regarded. This research is to examine food waste management in the Seoul Metropolitan Area (SMA) and non-SMA and to analyze the public inclination to disseminate zero-food waste system (ZFWS) with fermentation and extinction technology in multifamily housing estates. The self-administered questionnaire survey was conducted and the collected data were statistically analyzed. The main findings are summarized as follows: food waste in multifamily housing estates were retrieved by refuse truck and largely recycled for compost and forage. Also, many local governments were in favor of ZFWS, and unwilling to invest in it due to financial constraint. It's found that logistics of ZFWS is likely to be influenced by important features such as a considerable amount of cost saving, effective energy recovery, and efficient operation/management.

A Management System for Marine Deposited Debris based on Internet of Things (사물인터넷 기반 해양 침적 쓰레기 관리 시스템)

  • Hye-Jeong Kim;Hye-Yeon Yang;Jitea Kim;Huisu-Han;Jahoon Koo;Young-Gab Kim
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.05a
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    • pp.86-87
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    • 2023
  • 기존에 존재하는 해양쓰레기 처리 기술은 처리할 수 있는 쓰레기의 종류와 양이 한정되어있거나, 장치를 설치하는 데 많은 시간을 소비하는 문제점이 존재한다. 본 연구에서는 효율적으로 해양 침적쓰레기를 수거하기 위한 관리 시스템과 시나리오를 제안한다. 특히, 시나리오는 센서 배치, 감지, 분류, 처리와 같이 4단계로 구성되며, 각 단계에서 기존 문제점 해결을 위한 방안을 제시한다.

Automatic Dynamic Memory Management Techniques for Memory Scarce Java system (메모리가 적은 자바 시스템을 위한 자동 동적 메모리 관리 기법)

  • Choi, Hyung-Kyu;Moon, Soo-Mook
    • Journal of KIISE:Computer Systems and Theory
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    • v.35 no.8
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    • pp.378-384
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    • 2008
  • Many embedded systems are supporting Java as their software platform via Java virtual machine. Java virtual machine manages memory automatically by providing automatic memory management, i.e. garbage collector. Because only scarce memory is available to embedded system, Java virtual machine should use small memory and manage it efficiently. This paper introduces two memory management techniques to exploit small memory in Java virtual machine which can execute multiple Java applications concurrently. First, compaction based garbage collection is introduced to overcome external fragmentation problem in presence of immovable memory area. Then garbage collector driven class unloading is introduced to reduce memory use of unnecessary loaded classes. We implemented these techniques in working embedded system and observed that they are very efficient, since more Java applications are able to be executed concurrently and memory use is also reduced with these techniques.

A Study on Floating Waste Trace in Flood Control Dam Using the EFDC Model (EFDC 모델을 활용한 홍수조절용 댐의 부유쓰레기 유동 모의)

  • JANG, Suk-Hwan;OH, Kyung-Doo;OH, JiHwan;HAN, SuHee
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.336-336
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    • 2015
  • 일반적인 다목적댐은 홍수 발생 시 본댐으로 유입되는 부유쓰레기 및 잡목 등을 차단하기 위하여 댐 상류에 차단망을 설치하여 1차적으로 사전 방지하고, 홍수기 이후 선박으로 부유물을 수거하여 재활용, 소각 등으로 처리하는 시스템이다. 그러나 본 연구의 대상인 한탄강댐은 홍수조절용 댐으로서 수위 변화 폭이 매우 크고 정상 조건(비 홍수기)시는 대규모 홍수터가 드러나기 때문에 댐 유지관리 방법이 상이하며 한탄강 본류 구간은 하폭과 수심 등 하도의 불규칙성과 만곡부에서 유수의 흐름이 한쪽으로 쏠리는 편기 현상이 발생하는 등 복잡한 수리현상으로 인하여 부유쓰레기의 분포를 판단하기 어려운 지역이다. 따라서 본 연구에서는 부유쓰레기의 유동을 모의하기 위하여 HEC-HMS 모형과 $Vflo^{TM}$ 모형을 활용하여 본류와 지류의 빈도별 홍수량 분석을 실시하고, EFDC 3차원 동수역학 모형을 적용하여 홍수조절용지 내 부유쓰레기의 유입 경로 및 정체 구역을 분석하여 효과적인 쓰레기 처리 방안을 제시하고자 하였다. 분석 결과, 소규모 빈도 홍수(2년, 5년)의 경우 중 상류 지류의 부유쓰레기는 거의 유동하지 못하고 하도의 만곡의 영향을 받아 부분적으로 높은 밀도로 고착될 것으로 모의되며, 특히 본류와의 합류점 부근에 도달한 부유쓰레기는 유로 폭이 급확대되어 유속이 거의 없는 사수역 구간으로 변함에 따라 본류 배수위 영향으로 불규칙하게 맴돌다가 고착되는 것으로 모의되었다. 중규모 홍수(25년, 50년)의 경우, 상류부의 부유쓰레기의 분포는 소규모 홍수 시와 유사한 패턴을 보였으나 중류부에서 홍수파가 본류 하도를 월류하여 홍수터로 넓게 범람하는 지역에서는 소규모 홍수 시 본류 하도 양안에 분포하던 부유쓰레기가 홍수터 쪽으로 밀려가서 고착되는 경향을 보였다. 대규모 홍수(100년, 200년)의 경우, 댐과 인접한 분석 구간 하류부는 댐 배수위의 영향을 가장 크게 받으며 수심이 깊어 흐름이 가장 정체되는 구간으로 본류와 지류 모두 다량의 부유쓰레기가 분포할 것으로 분석되었다. 분석 구간 중류부는 홍수 규모가 증가함에 따라 넓은 홍수터로 침수범위가 급격하게 증가하며 이에 따라 부유쓰레기가 분포할 수 있는 면적이 크게 증가할 것으로 분석되었다. 또한 분석 구간 상류부는 협곡을 이루고 있어 홍수규모가 증가하더라도 침수범위와 부유쓰레기의 분포면적에 큰 변화가 없을 것으로 분석되었다. 본 연구 결과를 바탕으로 댐의 치수 문제가 발생하지 않도록 효과적으로 수거 처리 할 수 있는 부유쓰레기 적치장 및 차단 시설의 적정 설치 위치를 파악하였다.

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A Study on the Distributional Characteristics to Properties of Marine Submerged Wastes in the West Sea of Korea (서해 해양 침적폐기물의 성상별 분포 특성 연구)

  • Min-Jeong Kim;Hong-Joo Yoon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.1
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    • pp.219-230
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    • 2023
  • Marine waste is classified according to its location into coastal waste, floating waste, and submerged waste. As awareness of environmental issues increases, research on marine submerged waste in addition to visible trash is needed. In Korea, which is surrounded by the sea on three sides, this is a study on the distribution of marine sedimentary waste by type in the West Sea of Korea. Through the study, waste synthetic resin, scrap metal, waste tires, and others appeared in the order of large amounts. As a result showing the seriousness of waste synthetic resin among sediments deposited in the West Sea, it is expected to have a huge impact not only on the marine ecosystem but also on our lives in the near future. Through this study, it is judged that it will be helpful for future collection activities by recognizing marine submerged waste that was not known because it was invisible.

Implementation of Monitoring System of the Living Waste based on Artificial Intelligence and IoT (AI 및 IoT 기반의 생활 폐기물 모니터링 시스템 구현)

  • Kim, Sang-Hyun;Kang, Young-Hoon;Yoon, Dal-Hwan
    • Journal of IKEEE
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    • v.24 no.1
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    • pp.302-310
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    • 2020
  • In this paper, we have implemented the living waste analysis system based on IoT and AI(Artificial Intelligence), and proposed effective waste process and management method. The Jeju location have the strong point to devise a stratagem and estimate waste quantization, rather than others. Especially, we can recognized the amount variation of waste to the residence people compare to the sightseer number, and the good example a specific waste duty. Thus this paper have developed the IoT device for interconnecting the existed CCTV camera, and use the AI algorithm to analysis the waste image. By using these decision of image analysis, we can inform their deal commend and a decided information to the map of the waste cars. In order to evaluate the performance of IoT, we have experimented the electromagnetic compatibility under a national official authorization KN-32, KN61000-4-2~6, and obtained the stable experimental results. In the further experimental results, we can applicable for an data structure for precise definition command by using the simulated several waste image with artificial intelligence algorithm.

Experimental Study for Establishment of Long-term Monitoring System using Fiber Optical Sensor for Pipeline System for Waste Transportation (광섬유센서를 이용한 쓰레기 이송관로의 장기 계측시스템 구축을 위한 실험적 연구)

  • Kim, Haeng-Bae;Song, Jae-Ho
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.20 no.4
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    • pp.35-43
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    • 2016
  • Recently, the pipeline system for waste transportation has been increasingly constructed as new solution for the waste collection and disposal system by constantly increasing domestic waste which issued as social problem. The pipeline system is constructed through long distance, so proper long-term monitoring system is necessary which available to detect the damage location for the effective maintenance. In this paper, the experimental study is carried out to evaluate the applicability of optical strain gauge sensor based on FBG for the long-term monitoring system. Three test parameters such as pressure leaking, blockage and deformation are considered as typical damages for real-scale pipeline test specimen. In order to measure flexural and volumetric strain and temperature, three FBG sensors are installed at each monitoring sections. From the test results, this study suggested effective methods of sensor installation and arrangement. Also the sensor spacing for the design of monitoring system using FBG sensor is derived by the correlation of distances from deformation between sensor responses.