• Convergence Security Journal
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• v.23 no.5
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• pp.135-142
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• 2023

In addressing the prominent issues of climate change, resource scarcity, and environmental pollution associated with household waste, extensive research has been conducted on intelligent waste classification methods. These efforts range from traditional classification algorithms to machine learning and neural networks. However, challenges persist in effectively classifying waste in diverse environments and conditions due to insufficient datasets, increased complexity in neural network architectures, and performance limitations for real-world applications. Therefore, this paper proposes i-YOLOX as a solution for rapid classification and improved accuracy. The proposed model is evaluated based on network parameters, detection speed, and accuracy. To achieve this, a dataset comprising 10,000 samples of household waste, spanning 17 waste categories, is created. The i-YOLOX architecture is constructed by introducing the Involution channel convolution operator and the Convolution Branch Attention Module (CBAM) into the YOLOX structure. A comparative analysis is conducted with the performance of the existing YOLO architecture. Experimental results demonstrate that i-YOLOX enhances the detection speed and accuracy of waste objects in complex scenes compared to conventional neural networks. This confirms the effectiveness of the proposed i-YOLOX architecture in the detection and classification of multiple household waste objects.

• Environmental engineer
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• s.105
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• pp.4-5
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• 1995

• Journal of the KSME
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• v.34 no.8
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• pp.617-625
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• 1994

최근에 매립에 의한 도시 쓰레기 처리방법이 한계에 도달해감에 따라 이를 좀더 감량화하고 안 정적으로 처리할 수 있는 소각처리기술의 중요성이 더욱 부각되고 있다. 정부에서도 2001년까지 국내 생활쓰레기의 25%를 소각 처리하는 것을 목표로 투자 계획을 세워놓고 있으며 이를 달 성하기 위해서는 무엇보다도 소각기술 및 소각 플랜트 기술의 자립이 급선무이다. 현재 우리나 라의 소각로 기술은 초보적인 단계에 머물러 있으며, 그 동안 대부분의 소각로를 외국 기업으 로부터의 기술 도입을 통하여 건설하여 왔다. 이와 같은 방법은 기술적으로나 경제적으로 많은 불이익이 있으며 특히 소각로 설계 기술의 자립과 국산화라는 근본적인 목표 달성이 지연되는 문제가 있다. 이러한 기술상의 한계성을 극복하기 위해서는 무었보다도 선진 원본기술에 대한 심도있는 분석 연구와 정부 및 산.학.연간의 협조에 의한 연구 개발노력과 투자가 지속되어야 한다. 또한 소각로의 안전성과 신뢰성향상을 위한 꾸준한 기술개발이 이루어져야 하며 지역 주 민들에 대한 적극적인 홍보를 통하여 현재 문제가 되고 있는 소각로 기피현상을 조속히 타개해야 할 것이다.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2000.04a
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• pp.267-268
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• 2000

최근 인구증가와 더불어 도시화, 산업화 및 생활수준의 향상으로 인해 가정 및 사업장 등에서 배출되는 음식물쓰레기의 발생량이 급속하게 증가함으로써 쓰레기처리에 따른 비용절감과 효율적인 폐기물 처리방법들이 중요시되어지고 있다. 현재 우리 나라에서 쓰레기처리법으로 가장 많이 활용되고 있는 기술은 매립이다. 그러나 매립처리는 유기물이나 유해물질의 유출 및 악취발생 등 매립장 인근에 환경을 오염시키고 있다. (중략)

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2005.04a
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• pp.433-436
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• 2005

국내 A군에서 운영중인 한 쓰레기 매립지에서 배출되는 침출수와 주변 지하수를 채취하여 화학분석과 동위원소 분석을 실시하였다. 그리고 생활 쓰레기가 분해되는 과정에서 생성되는 가스들을 채집하여 동위원소 분석을 실시하였다. 유기물 분해로 생성된 이산화탄소는 일차적으로 침출수의 알칼리도를 높이고 이차적으로 일어나는 이산화탄소의 환원작용에 의하여 메탄가스가 형성되었다. 이러한 과정에서 침출수내의 용존무기탄소(DIC)의 탄소 동위원소 조성이 부화되었으며, 아울러 생성된 메탄과의 수소 동위원소 교환반응에 의하여 침출수의 수소 동위원소 조성이 크게 부화되는 특징이 관찰 되었다. 쓰레기장에서 발생되는 혼합가스에서 이산화탄소를 분리하여 탄소 동위원소 조성을 분석해 본 결과 새로운 매립지 보다 오래된 매립지에서 배출되는 이산화탄소의 탄소 동위원소 조성이 부화되는 특징이 관찰되었다.

• The Journal of the Korea Contents Association
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• v.14 no.9
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• pp.110-119
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• 2014

Product design should reflect environment and experience of use in consideration of product's role as well as roles in life. In doing so, it is expected to realize interaction between product's role and users. Therefore, design of a recycling bin should also consider not only colors, shape, or materials but also process and experience of use. This study was conducted targeting public recycling bins in Beijing. As for the study method, first concept of a recycling bin was defined while specifying significance of recycling in Beijing City. Also, advanced research on recycling related policies that are currently being promoted was carried out. Second, current status of recycling in Beijing and problems of recycling bins were analyzed through on-campus survey. Lastly, users' psychological demand on a recycling bin was assessed and analyzed to suggest developmental direction of recycling bin design in the future.

• Journal of Korean Society of Environmental Engineers
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• v.32 no.10
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• pp.905-915
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• 2010

With rising food waste, the management activities have gained growing attention, and the disposal options, particularly utilization of food waste for energy recovery, become central. This research examines the factors affecting food waste generation and the tendency to resource food waste. The self-administered questionnaire survey was conducted in newly built multifamily housing estates to collect data, and 300 responses were analyzed. The statistical analysis showed that most of the respondents purchased food materials in largely franchised grocery stores and discarded food that had been too long refrigerated to edible. The lifecycle of food consumption was divided into three states - food purchase plan, cooking and food waste collection. Regression analysis was employed to find out the relationships between three stages and food waste generation or tendency to resource food waste. The results described that food waste generation being affected by the stage of food purchase plan (food waste removal conditions) was statistically significant while it's statistically significant that the stage of cooking (prepurchase considerations) influenced the attitude toward food waste resource. The research findings indicated that food is overconsumed, and further many viewed food waste resources as a proactive and integrative mode in the global wave of sustainability.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.314-316
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• 2022

코로나 19로 인해 일회용품 사용량이 증가함에 따라 쓰레기에 대한 환경문제가 발생하고 있다. 이러한 문제점을 개선하기 위해 집에서도 간편하게 쓰레기 배출 정보를 확인할 수 있는 연구를 진행했다. 스마트 관리 기계 사용을 통해 쓰레기가 환경에 미치는 악영향이 최소화되기를 기대한다.

• 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.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.11
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• pp.2143-2148
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• 2016

Recently due to development of IT technology, ideas and technology that blend with environment have evolved. This technology can help people's living environment and in the future it is an essential component of the connected society. In this paper, we propose WiT(WiFI Trashcan) which takes advantage of the IT technology fusion and environmental factors at the same time to create a more pleasant environment. WiT provides a free WiFi when trash is disposed in the trash can. WiT detects whether a user disposes trash, determines the volume of the trash and provides free WiFi. To detect trash we use ultrasonic sensor and trash weight is measured by using weight sensor. Also by using Phython programming the measured sensor value is transmitted to Raspberry Pie and WiFi delivery time is determined. We used Arduino and Raspberry Pi to design and implement WiT.