Добірка наукової літератури з теми "Distributed recycling"
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Статті в журналах з теми "Distributed recycling":
Kreiger, M., G. C. Anzalone, M. L. Mulder, A. Glover, and J. M. Pearce. "Distributed Recycling of Post-Consumer Plastic Waste in Rural Areas." MRS Proceedings 1492 (2013): 91–96. http://dx.doi.org/10.1557/opl.2013.258.
Xiao, Y., and M. A. Reuter. "Recycling of distributed aluminium turning scrap." Minerals Engineering 15, no. 11 (November 2002): 963–70. http://dx.doi.org/10.1016/s0892-6875(02)00137-1.
Ng‐Molina, Francisco Y., Teresa M. Martín‐Guerrero, and Carlos Camacho‐Peñalosa. "Power recycling concept applied to distributed amplification." IET Microwaves, Antennas & Propagation 7, no. 15 (December 2013): 1207–14. http://dx.doi.org/10.1049/iet-map.2013.0160.
Kassab, Ali, Dawood Al Nabhani, Pravansu Mohanty, Christopher Pannier, and Georges Y. Ayoub. "Advancing Plastic Recycling: Challenges and Opportunities in the Integration of 3D Printing and Distributed Recycling for a Circular Economy." Polymers 15, no. 19 (September 25, 2023): 3881. http://dx.doi.org/10.3390/polym15193881.
Baechler, Christian, Matthew DeVuono, and Joshua M. Pearce. "Distributed recycling of waste polymer into RepRap feedstock." Rapid Prototyping Journal 19, no. 2 (March 1, 2013): 118–25. http://dx.doi.org/10.1108/13552541311302978.
Ziouzios, Dimitris, Dimitris Tsiktsiris, Nikolaos Baras, and Minas Dasygenis. "A Distributed Architecture for Smart Recycling Using Machine Learning." Future Internet 12, no. 9 (August 24, 2020): 141. http://dx.doi.org/10.3390/fi12090141.
Huang, You Heng, and Qi Hong Wei. "Distribution Mode of Urban Renewable Resources Recycling Based on the Internet." Advanced Materials Research 616-618 (December 2012): 1636–39. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.1636.
Dertinger, Samantha C., Nicole Gallup, Nagendra G. Tanikella, Marzio Grasso, Samireh Vahid, Peter J. S. Foot, and Joshua M. Pearce. "Technical pathways for distributed recycling of polymer composites for distributed manufacturing: Windshield wiper blades." Resources, Conservation and Recycling 157 (June 2020): 104810. http://dx.doi.org/10.1016/j.resconrec.2020.104810.
Little, Helen A., Nagendra G. Tanikella, Matthew J. Reich, Matthew J. Fiedler, Samantha L. Snabes, and Joshua M. Pearce. "Towards Distributed Recycling with Additive Manufacturing of PET Flake Feedstocks." Materials 13, no. 19 (September 25, 2020): 4273. http://dx.doi.org/10.3390/ma13194273.
Sadowski, Przemysław. "Quantum distance-based classifier with distributed knowledge and state recycling." International Journal of Quantum Information 16, no. 08 (December 2018): 1840013. http://dx.doi.org/10.1142/s0219749918400130.
Дисертації з теми "Distributed recycling":
Junges, Rodrigo Santos. "Automação de reator de hidrogênio para alimentação de motogerador em geração distribuida /." Ilha Solteira, 2019. http://hdl.handle.net/11449/183430.
Santander, Tapia Pavlo Javier Alejandro. "Valorisation en circuit court de déchets thermoplastiques pour la conception par impression 3D de structures composites." Electronic Thesis or Diss., Université de Lorraine, 2020. http://www.theses.fr/2020LORR0229.
The management of plastic waste is a major problem that has yet to be resolved with a view to a more sustainable development of human activities. Among the possible solutions, recycling is an interesting way to recycle non-renewable materials. After decades of centralized recycling, there is now a growing interest in approaches based on distributed recycling. Taking advantage of the democratization of open-source 3D printing technologies (OS), we propose to revalorize locally the plastics that can be used by these technologies. This distributed recycling can be considered as a kind of "intelligent network", composed of small coordinated recycling units, which provide recycled plastic filaments to the 3D printing community. The technical feasibility of this plastic recycling approach has been proven in the literature. However, its feasibility from a supply chain and logistics perspective has yet to be demonstrated. In order to address this issue, this research thesis seeks to provide answers to the following research question: Under what conditions is it possible to deploy a sustainable network of local and distributed plastics recycling using open-source 3D printing technologies? Taking into account the above, this research work aims to propose a framework for the analysis and evaluation, from a sustainability perspective, of the distributed plastic recycling approach for 3D printing. The proposed evaluation framework combines optimization and system dynamics in the evaluation of the sustainability of the recycling approach. The application of the evaluation framework to a specific case study of a university seeking to implement a distributed recycling demonstrator to recover 3D printing waste from middle and high schools in northeastern France illustrated the feasibility from a sustainability perspective
Ganbaatar, Munkh-Amgalan, and Munkh-Amgalan Ganbaatar. "Recycling Weight for Distributed Weighted Reference Counting Garbage Collection Algorithm." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/mx86k3.
國立東華大學
資訊工程學系
102
In distributed systems, weighted reference counting algorithm (WRC) is more efficient than other reference counting or reference listing algorithms since each reference has to send a message to object only when it is deleted. WRC uses weight for each reference and the weight has to be halved when a reference is copied. Thus it eliminates synchronization in the case of reference duplication and reference deletion. In other words, there is no race condition for messages in WRC which the other algorithms have to consider. When a reference whose weight is equal to one has to be copied, the weight cannot be a whole number after copied, so another auxiliary object (named indirection cell) has to be created between the reference and the original object. The undirected reference has to send more messages and more time consuming to access the object. The weight-based reference counting algorithm (RWT) tries to figure out the undirected problem with much more extra space. It uses tables instead of a single cell, but the access to an object is always directly. In this thesis, we propose an algorithm of recycling weight for weighted reference counting. The recycling weight approach (RW) does not completely eliminate the undirected v reference drawback. It simply reduces the cases of indirection cell would be created. In our experiments, recycling weight approach reduces the required space up to 55% fromWRC and up to 88% from RWT. Average space efficiency of Recycling Weight approach is 32.60% and 55.94% over WRC and RWT respectively.
Han, Shih-Chang, and 韓世昌. "Construction and Implementation of a Distributed Non-Product Wafer Recycling Information System." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/a7f4gv.
國立交通大學
資訊學院資訊學程
105
Due to the high cost and high depreciation rate of fabrication equipment, improvements in efficiency have become a priority to wafer fabrication plans. The key to sustaining stable production is the utilization of control and dummy wafer, procuring a reliable environment and real-time monitoring production data for equipment, to minimize fraction defective. Cost control also plays an essential role in wafer utilization. A standard operating procedure is to retrieve used wafers, which are to be assigned, after cleaned and sorted, for demands of re-utilization, lest the cost shall rise for introducing new wafers. While automated production has become essential in semiconductor production, manufacturers have been developing wafer-retrieving devices according to the demands. The performance in practice is rather unsatisfactory though. A distributed wafer-recycling system is presented in this study, which is to aid the management in control wafer re-utilization. Results from experiments under practical production have shown promising improvements in wafer retrieval, replacing current wafer-retrieving devices, and also in distribution of wafers thereof.
Wang, Yi-Chin, and 王奕欽. "Photon-Recycling in Multi-Quantum-Well Solar Cells with Distributed Reflector &; Selective Filters." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/60448072933635294955.
國立交通大學
顯示科技研究所
103
In recent years, scientists have noted that the theoretical efficiency limit of solar cells can be largely affected by internal photon coupling and recycling effects. Therefore, light management has become an important issue for III-V and other solar cells made of direct bandgap materials. In this work, we employ multiple quantum well (MQW) solar cells with a high spontaneous emission rate to study the impact of photon recycling on the photovoltaic characteristics via the incorporation of Bragg mirrors and frontal selective filters. First, before the deposition of selective filters, the MQW solar cell with a Bragg mirror exhibits a lower open-circuit voltage (Voc) and fill factor (FF) than that without the mirror under one-sun illumination. However, the Voc is increased by 7.3 mV under 200 suns, compared to the reference, which is ascribed to the photon recycling effect via the back reflector. However, the fill factor is decreased significantly due to an increased series resistance, which arises from charge transport across the reflector composed of 10 dielectric pairs. Next, in order to suppress the spontaneous radiation losses toward the front surface, we deposit selective filters made of alternative titanium dioxide (TiO2) and silicon dioxide (SiO2) dielectric stacks, designed at cutoff wavelengths of 880nm, 910nm, and 930nm.The electroluminescence measurement confirms that light emission from the cell is inhibited by the filter, which in turn can lead to internal photon recycling. After incorporated with the selectivity filters, the MQW solar cells, with or without a back reflector, show enhanced Voc and FF compared to the reference counterpart without the filters, offering solid proof that suppress of spontaneous emission to increase photon recycling can effectively boost the photovoltaic characteristics. Moreover, the MQW solar cell with a Bragg reflector and selective filter at the 910nm cutoff wavelength exhibits a maximal Voc enhancement ~ 11mV. However, the FF enhancement is relatively small compared to other cutoff devices. We think that although photon recycling can improve the FF by reducing the probability of non-radiative recombination to increase carrier lifetime, the high carrier concentrations inside the cell is accompanied by the large series resistance; thus limit the FF improvement. Finally, although the FF is deteriorated by the increase of illumination concentration, the incorporation of selective filters can slow down the degradation due to photon recycling. This effect is particularly manifested for the MQW solar cells with both a Bragg reflector and selective filter.
Zitouni, Toufik. "A Statistically Rigorous Evaluation of the Cascade Bloom Filter for Distributed Access Enforcement in Role-Based Access Control (RBAC) Systems." Thesis, 2010. http://hdl.handle.net/10012/5747.
張志傑. "The robust distribute strategies of regeneration materials under the business model which combine with manufacturer and recycling business." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/75481262734120127748.
國立政治大學
資訊管理研究所
100
In recent year, enterprises consider reverse logistic in their processing because of cost, corporate image and government policy. But there are lots of uncertainty factors in the reverse logistic, in order to focus on enterprise’s professional skills, more and more enterprises outsource their reverse logistics. Both enterprise and professional reverse logistic processor have to spend more costs to keep their cooperation in recent outsourcing model. Thus, this thesis builds a model which combine enterprise's business model and professional reverse logistic processor's business model. In this model, assumes that profit should be share between both of them, and apply Robust optimization methods to solve uncertainty factors in reverse logistic. The thesis finds out the best distribution ratio of regeneration materials in each period.
Книги з теми "Distributed recycling":
Jakob, Michael, Ottmar Edenhofer, Ulrike Kornek, Dominic Lenzi, and Jan Minx. Governing the Commons to Promote Global Justice: Climate Change Mitigation and Rent Taxation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198813248.003.0003.
Частини книг з теми "Distributed recycling":
Pérez-Delgado, María Luisa. "Artificial Ants and Packaging Waste Recycling." In Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living, 596–603. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02481-8_87.
Rosado, Oscar Guerrero, and Paul F. M. J. Verschure. "Distributed Adaptive Control: An Ideal Cognitive Architecture Candidate for Managing a Robotic Recycling Plant." In Biomimetic and Biohybrid Systems, 153–64. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64313-3_16.
Goel, Tarun, Yingqi Gu, Francesco Pilla, and Robert Shorten. "A Distributed Ledger Based Cyber-Physical Architecture to Enforce Social Contracts: Paper Cup Recycling." In Advances in Intelligent Systems and Computing, 959–67. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32523-7_72.
De Simone, Marilena, Daniel-Viorel Ungureanu, and Daniele Campagna. "Circular Economy of Wind Turbines Waste in Constructions and Cities." In Lecture Notes in Civil Engineering, 592–602. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57800-7_55.
Küfeoğlu, Sinan. "Emerging Technologies." In Emerging Technologies, 41–190. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07127-0_2.
Taito-Matamua, Lionel, Simon Fraser, and Jeongbin Ok. "Chapter 11 Renewing Materials: Implementing 3D Printing and Distributed Recycling in Samoa." In Unmaking Waste in Production and Consumption: Towards the Circular Economy, 191–212. Emerald Publishing Limited, 2018. http://dx.doi.org/10.1108/978-1-78714-619-820181016.
"Chapter 7 The dynamic and distributed nature of the recycling rate of the car—a fundamental description of recycling systems." In Developments in Mineral Processing, 209–47. Elsevier, 2005. http://dx.doi.org/10.1016/s0167-4528(05)80021-3.
Tateno, T., and S. Kondoh. "PROPOSAL OF UBIQUITOUS DISASSEMBLY SYSTEM FOR REALIZING REUSE AND RECYCLING IN COOPERATIVE DISTRIBUTED FACILITIES." In Mechatronics for Safety, Security and Dependability in a New Era, 133–38. Elsevier, 2007. http://dx.doi.org/10.1016/b978-008044963-0/50028-x.
Kumar, K. Dinesh, Dipalee Divakar Rane, Appalaraju Muralidhar, Sam Goundar, and P. Viswanatha Reddy. "E-Waste Management." In Sustainable Solutions for E-Waste and Development, 56–73. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1018-2.ch005.
Joseph D., Robson. "Dispersoid Precipitation in Aluminum Alloys." In Encyclopedia of Aluminum and Its Alloys. Boca Raton: CRC Press, 2019. http://dx.doi.org/10.1201/9781351045636-140000252.
Тези доповідей конференцій з теми "Distributed recycling":
Zhang, Jing, and Jingya Li. "Selection of Computer Recycling Technology and Construction of a Regular Recycling System." In 2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM). IEEE, 2011. http://dx.doi.org/10.1109/cdciem.2011.188.
Liang, Wanlin, Tianheng Li, and Xiaofan He. "Information Recycling Assisted Collaborative Edge Computing for Distributed Learning." In IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, 2023. http://dx.doi.org/10.1109/infocomwkshps57453.2023.10226033.
Zeng, Hao, Man Li, Helei Cui, Yuefeng Du, Zhiwen Yu, and Bin Guo. "Poster: Task Difficulty Adjustment in the Energy-Recycling Consensus Mechanism." In 2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS). IEEE, 2023. http://dx.doi.org/10.1109/icdcs57875.2023.00130.
Yong, Chen, Chen Jun, and He Wei. "Development and Application of Recycling Utilization for Vanadium Recovery Converter Sludge." In 2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM). IEEE, 2011. http://dx.doi.org/10.1109/cdciem.2011.149.
Ding, Xiao, and Hongyuan Li. "Environmental Benefit from Blast Furnace Gas Recycling in the Integrated Steelworks." In 2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM). IEEE, 2011. http://dx.doi.org/10.1109/cdciem.2011.427.
Rongkun, Pan, Yu Minggao, Lu Chang, and Dong Yanjun. "Research on the Harmful of Coal Solid Waste and Its Recycling Technology." In 2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM). IEEE, 2011. http://dx.doi.org/10.1109/cdciem.2011.49.
Peng, Pin, Yarui Zhang, and Gui Pang. "The Optimal Design Model of Logistics Network for Scrap Copper Recycling." In 2011 Tenth International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES). IEEE, 2011. http://dx.doi.org/10.1109/dcabes.2011.92.
Dong, Yanjie, Haijun Zhang, Md Jahangir Hossain, Julian Cheng, and Victor C. M. Leung. "Energy Efficient Resource Allocation for OFDMA Full Duplex Distributed Antenna Systems with Energy Recycling." In GLOBECOM 2015 - 2015 IEEE Global Communications Conference. IEEE, 2014. http://dx.doi.org/10.1109/glocom.2014.7417780.
Dong, Yanjie, Haijun Zhang, Md Jahangir Hossain, Julian Cheng, and Victor C. M. Leung. "Energy Efficient Resource Allocation for OFDMA Full Duplex Distributed Antenna Systems with Energy Recycling." In GLOBECOM 2015 - 2015 IEEE Global Communications Conference. IEEE, 2015. http://dx.doi.org/10.1109/glocom.2015.7417780.
Wang, Xi Vincent, Brenda N. Lopez N., Lihui Wang, Jinhui Li, and Winifred Ijomah. "A Smart Cloud-Based System for the WEEE Recovery/Recycling." In ASME 2014 International Manufacturing Science and Engineering Conference collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/msec2014-4109.