Bibliografie tematiche / Distributed recycling

Letteratura scientifica selezionata sul tema "Distributed recycling"

Autore: Grafiati

Pubblicato: 8 giugno 2024

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Articoli di riviste sul tema "Distributed recycling":

Kreiger, M., G. C. Anzalone, M. L. Mulder, A. Glover e 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.

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ABSTRACTAlthough the environmental benefits of recycling plastics are well established and most geographic locations within the U.S. offer some plastic recycling, recycling rates are often low. Low recycling rates are often observed in conventional centralized recycling plants due to the challenge of collection and transportation for high-volume low-weight polymers. The recycling rates decline further when low population density, rural and relatively isolated communities are investigated because of the distance to recycling centers makes recycling difficult and both economically and energetically inefficient. The recent development of a class of open source hardware tools (e.g. RecycleBots) able to convert post-consumer plastic waste to polymer filament for 3-D printing offer a means to increase recycling rates by enabling distributed recycling. In addition, to reducing the amount of plastic disposed of in landfills, distributed recycling may also provide low-income families a means to supplement their income with domestic production of small plastic goods. This study investigates the environmental impacts of polymer recycling. A life-cycle analysis (LCA) for centralized plastic recycling is compared to the implementation of distributed recycling in rural areas. Environmental impact of both recycling scenarios is quantified in terms of energy use per unit mass of recycled plastic. A sensitivity analysis is used to determine the environmental impacts of both systems as a function of distance to recycling centers. The results of this LCA study indicate that distributed recycling of HDPE for rural regions is energetically favorable to either using virgin resin or conventional recycling processes. This study indicates that the technical progress in solar photovoltaic devices, open-source 3-D printing and polymer filament extrusion have made distributed polymer recycling and upcycling technically viable.

Xiao, Y., e M. A. Reuter. "Recycling of distributed aluminium turning scrap". Minerals Engineering 15, n. 11 (novembre 2002): 963–70. http://dx.doi.org/10.1016/s0892-6875(02)00137-1.

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Ng‐Molina, Francisco Y., Teresa M. Martín‐Guerrero e Carlos Camacho‐Peñalosa. "Power recycling concept applied to distributed amplification". IET Microwaves, Antennas & Propagation 7, n. 15 (dicembre 2013): 1207–14. http://dx.doi.org/10.1049/iet-map.2013.0160.

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Kassab, Ali, Dawood Al Nabhani, Pravansu Mohanty, Christopher Pannier e Georges Y. Ayoub. "Advancing Plastic Recycling: Challenges and Opportunities in the Integration of 3D Printing and Distributed Recycling for a Circular Economy". Polymers 15, n. 19 (25 settembre 2023): 3881. http://dx.doi.org/10.3390/polym15193881.

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The concept of the circular economy has emerged as a promising solution to address the mounting concerns surrounding plastic waste and the urgent need for sustainable resource management. While conventional centralized recycling remains a common practice for plastic waste, centralized facilities may prove inadequate in handling the ever-increasing volumes of plastic waste generated globally. Consequently, exploring alternative recycling methods, such as distributed recycling by additive manufacturing, becomes paramount. This innovative approach encompasses actively involving communities in recycling practices and promotes a circular economy. This comprehensive review paper aims to explore the critical aspects necessary to realize the potential of distributed recycling by additive manufacturing. In this paper, our focus lies on proposing schemes that leverage existing literature to harness the potential of distributed recycling by additive manufacturing as an effective approach to plastic waste management. We explore the intricacies of the recycling process, optimize 3D printing parameters, address potential challenges, and evaluate the mechanical properties of recycled materials. Our investigation draws heavily from the literature of the last five years, as we conduct a thorough critical assessment of DRAM implementation and its influence on the properties of 3D printing structures. Through comprehensive analysis, we reveal the potential of recycled materials in delivering functional components, with insights into their performance, strengths, and weaknesses. This review serves as a comprehensive guide for those interested in embracing distributed recycling by additive manufacturing as a transformative approach to plastic recycling. By fostering community engagement, optimizing 3D printing processes, and incorporating suitable additives, it is possible to collectively contribute to a more sustainable future while combatting the plastic waste crisis. As progress is made, it becomes essential to further delve into the complexities of material behavior, recycling techniques, and the long-term durability of recycled 3D printed components. By addressing these challenges head-on, it is feasible to refine and advance distributed recycling by additive manufacturing as a viable pathway to minimize plastic waste, fostering a circular economy and cultivating a cleaner planet for generations to come.

Baechler, Christian, Matthew DeVuono e Joshua M. Pearce. "Distributed recycling of waste polymer into RepRap feedstock". Rapid Prototyping Journal 19, n. 2 (1 marzo 2013): 118–25. http://dx.doi.org/10.1108/13552541311302978.

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PurposeA low‐cost, open source, self‐replicating rapid prototyper (RepRap) has been developed, which greatly expands the potential user base of rapid prototypers. The operating cost of the RepRap can be further reduced using waste polymers as feedstock. Centralized recycling of polymers is often uneconomic and energy intensive due to transportation embodied energy. The purpose of this paper is to provide a proof of concept for high‐value recycling of waste polymers at distributed creation sites.Design/methodology/approachPrevious designs of waste plastic extruders (also known as RecycleBots) were evaluated using a weighted evaluation matrix. An updated design was completed and the description and analysis of the design is presented including component summary, testing procedures, a basic life cycle analysis and extrusion results. The filament was tested for consistency of density and diameter while quantifying electricity consumption.FindingsFilament was successfully extruded at an average rate of 90 mm/min and used to print parts. The filament averaged 2.805 mm diameter with 87 per cent of samples between 2.540 mm and 3.081 mm. The average mass was 0.564 g/100 mm length. Energy use was 0.06 kWh/m.Practical implicationsThe success of the RecycleBot further reduces RepRap operating costs, which enables distributed in‐home, value added, plastic recycling. This has implications for municipal waste management programs, as in‐home recycling could reduce cost and greenhouse gas emissions associated with waste collection and transportation, as well as the environmental impact of manufacturing custom plastic parts.Originality/valueThis paper reports on the first technical evaluation of a feedstock filament for the RepRap from waste plastic material made in a distributed recycling device.

Ziouzios, Dimitris, Dimitris Tsiktsiris, Nikolaos Baras e Minas Dasygenis. "A Distributed Architecture for Smart Recycling Using Machine Learning". Future Internet 12, n. 9 (24 agosto 2020): 141. http://dx.doi.org/10.3390/fi12090141.

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Recycling is vital for a sustainable and clean environment. Developed and developing countries are both facing the problem of solid management waste and recycling issues. Waste classification is a good solution to separate the waste from the recycle materials. In this work, we propose a cloud based classification algorithm for automated machines in recycling factories using machine learning. We trained an efficient MobileNet model, able to classify five different types of waste. The inference can be performed in real-time on a cloud server. Various techniques are described and used in order to improve the classification accuracy, such as data augmentation and hyper-parameter tuning. Multiple industrial stations are supported and interconnected via custom data transmission protocols, along with security features. Experimental results indicated that our solution can achieve excellent performance with 96.57% accuracy utilizing a cloud server.

Huang, You Heng, e Qi Hong Wei. "Distribution Mode of Urban Renewable Resources Recycling Based on the Internet". Advanced Materials Research 616-618 (dicembre 2012): 1636–39. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.1636.

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The widely use of the Internet has greatly expanded the materials supply channels of the renewable resources. Online recycling has become an important way of the renewable resources in China. . The distribution mode of urban renewable resources recycling based on the Internet and also its associated conditions was put forward after comparing the distributed transaction mode of the renewable resources between the traditional recycling and online recycling.

Dertinger, Samantha C., Nicole Gallup, Nagendra G. Tanikella, Marzio Grasso, Samireh Vahid, Peter J. S. Foot e Joshua M. Pearce. "Technical pathways for distributed recycling of polymer composites for distributed manufacturing: Windshield wiper blades". Resources, Conservation and Recycling 157 (giugno 2020): 104810. http://dx.doi.org/10.1016/j.resconrec.2020.104810.

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Little, Helen A., Nagendra G. Tanikella, Matthew J. Reich, Matthew J. Fiedler, Samantha L. Snabes e Joshua M. Pearce. "Towards Distributed Recycling with Additive Manufacturing of PET Flake Feedstocks". Materials 13, n. 19 (25 settembre 2020): 4273. http://dx.doi.org/10.3390/ma13194273.

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This study explores the potential to reach a circular economy for post-consumer Recycled Polyethylene Terephthalate (rPET) packaging and bottles by using it as a Distributed Recycling for Additive Manufacturing (DRAM) feedstock. Specifically, for the first time, rPET water bottle flake is processed using only an open source toolchain with Fused Particle Fabrication (FPF) or Fused Granular Fabrication (FGF) processing rather than first converting it to filament. In this study, first the impact of granulation, sifting, and heating (and their sequential combination) is quantified on the shape and size distribution of the rPET flakes. Then 3D printing tests were performed on the rPET flake with two different feed systems: an external feeder and feed tube augmented with a motorized auger screw, and an extruder-mounted hopper that enables direct 3D printing. Two Gigabot X machines were used, each with the different feed systems, and one without and the latter with extended part cooling. 3D print settings were optimized based on thermal characterization, and both systems were shown to 3D print rPET directly from shredded water bottles. Mechanical testing showed the importance of isolating rPET from moisture and that geometry was important for uniform extrusion. The mechanical strength of 3D-printed parts with FPF and inconsistent flow is lower than optimized fused filament, but adequate for a wide range of applications. Future work is needed to improve consistency and enable water bottles to be used as a widespread DRAM feedstock.

Sadowski, Przemysław. "Quantum distance-based classifier with distributed knowledge and state recycling". International Journal of Quantum Information 16, n. 08 (dicembre 2018): 1840013. http://dx.doi.org/10.1142/s0219749918400130.

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In this work, we examine a recently proposed distance-based classification method designed for near-term quantum processing units with limited resources. We study possibilities to reduce the quantum resources without any efficiency decrease. We show that only a part of the information undergoes coherent evolution and this fact allows us to introduce an algorithm with significantly reduced quantum system size requirements. Additionally, considering only partial information at a time, we propose a classification protocol with information distributed among a number of agents. Finally, we show that the information evolution during a measurement can lead to a better solution and that the accuracy of the algorithm can be improved by harnessing the state after the final measurement.

Più fonti

Tesi sul tema "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.

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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.

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La gestion des déchets plastiques est un problème majeur qui doit encore être résolu dans la perspective d'un développement plus durable des activités humaines. Parmi les solutions envisageables, le recyclage, est un moyen intéressant de revaloriser ses matières non renouvelables. Après des décennies de recyclage centralisé on observe aujourd’hui un intérêt grandissant pour les approches basées sur le recyclage distribué. Profitant de la démocratisation des technologies d'impression 3D open-source (OS) nous proposons de revaloriser localement les plastiques utilisables par ces technologies. Ce recyclage distribué peut être considéré comme une sorte de "réseau intelligent", composé de petites unités de recyclage coordonnées, qui fournissent des filaments de plastique recyclé à la communauté de l'impression 3D. La faisabilité technique de cette approche de recyclage du plastique a été prouvée dans la littérature. Cependant, sa faisabilité du point de vue de la chaîne d'approvisionnement et de la logistique doit encore être démontrée. Afin d'aborder cette question, cette thèse de recherche cherche à apporter des réponses à la question de recherche suivante : Dans quelles conditions est-il possible de déployer un réseau durable de recyclage local et distribué des plastiques en utilisant des technologies d'impression 3D open-source ? En tenant compte de ce qui précède, ce travail de recherche vise à proposer un cadre pour l'analyse et l'évaluation, du point de vue de la durabilité, de l'approche de recyclage distribué du plastique pour l'impression 3D. Le cadre d'évaluation proposé combine l'optimisation et la dynamique des systèmes dans l'évaluation de la durabilité de l'approche de recyclage. L'application du cadre d'évaluation à une étude de cas spécifique d'une université cherchant à mettre en œuvre un démonstrateur de recyclage distribué afin de récupérer les déchets d'impression 3D des collèges et lycées du nord-est de la France, a illustré la faisabilité du point de vue de la durabilité
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, e Munkh-Amgalan Ganbaatar. "Recycling Weight for Distributed Weighted Reference Counting Garbage Collection Algorithm". Thesis, 2014. http://ndltd.ncl.edu.tw/handle/mx86k3.

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碩士
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, e 韓世昌. "Construction and Implementation of a Distributed Non-Product Wafer Recycling Information System". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/a7f4gv.

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碩士
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, e 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.

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碩士
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.

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We consider the distributed access enforcement problem for Role-Based Access Control (RBAC) systems. Such enforcement has become important with RBAC’s increasing adoption, and the proliferation of data that needs to be protected. Our particular interest is in the evaluation of a new data structure that has recently been proposed for enforcement: the Cascade Bloom Filter. The Cascade Bloom Filter is an extension of the Bloom filter, and provides for time- and space-efficient encodings of sets. We compare the Cascade Bloom Filter to the Bloom Filter, and another approach called Authorization Recycling that has been proposed for distributed access enforcement in RBAC. One of the challenges we address is the lack of a benchmark: we propose and justify a benchmark for the assessment. Also, we adopt a statistically rigorous approach for empirical assessment from recent work. We present our results for time- and space-efficiency based on our benchmark. We demonstrate that, of the three data structures that we consider, the Cascade Bloom Filter scales the best with the number of RBAC sessions from the standpoints of time- and space-efficiency.

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.

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碩士
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.

Libri sul tema "Distributed recycling":

Jakob, Michael, Ottmar Edenhofer, Ulrike Kornek, Dominic Lenzi e 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.

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Climate change mitigation means restricting the use of the atmosphere as a disposal space for greenhouse gas emissions, which would create a novel scarcity rent. Appropriating this rent via fiscal policies, such as taxes, together with already existing scarcity rents of land and natural resources, could be an economically efficient source of public revenues to advance human development objectives. This chapter discusses how an international climate agreement would turn the atmosphere into a common property regime and describes equity principles that determine how the resulting climate rent is distributed. It then estimates how carbon pricing in combination with appropriate revenue recycling could advance human development goals. It also considers equity aspects of distributing land and natural resource rents as well as the potential of these rents to promote global justice. Finally, it assesses the political feasibility of combining rent taxation with targeted investment, drawing conclusions for the potential implementation of such an approach.

Capitoli di libri sul tema "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.

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Rosado, Oscar Guerrero, e 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.

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Goel, Tarun, Yingqi Gu, Francesco Pilla e 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.

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De Simone, Marilena, Daniel-Viorel Ungureanu e 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.

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AbstractWind energy is one of the most widely distributed renewable energy sources. Generally, wind turbines have an expected lifetime of 20–25 years after which decommissioning is expected. Life cycle assessments show that optimal recycling at the end of life is of economic and environmental interest and is in line with the principles of a circular economy. Despite these benefits, current recycling processes cannot guarantee high-end material quality, but the reuse of parts of wind turbines as construction elements in buildings and infrastructures has been demonstrated to be a suitable option. This study presents an overview of wind power installations in Europe, emphasizing the typology of farms, onshore and offshore, and trends of the wind industry that promote an increase in the size and power of wind turbines. The study aims to make it clear how the different types of materials used in wind turbines, such as steel, iron, aluminium, copper, polymers, glass and carbon fibres, change according to the development of the technology. Moreover, examples of reusing wind turbine components in cities and buildings are collected and illustrated to provide a panorama of the potential for the reuse of these components in the concept of a circular economy in the construction sector.

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.

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AbstractThis chapter presents brief descriptions and working principles of 34 emerging technologies which have market diffusion and are commercially available. Emerging technologies are the ones whose development and application areas are still expanding fast, and their technical and value potential is still largely unrealised. In alphabetical order, the emerging technologies that we list in this chapter are 3D printing, 5G, advanced materials, artificial intelligence, autonomous things, big data, biometrics, bioplastics, biotech and biomanufacturing, blockchain, carbon capture and storage, cellular agriculture, cloud computing, crowdfunding, cybersecurity, datahubs, digital twins, distributed computing, drones, edge computing, energy storage, flexible electronics and wearables, healthcare analytics, hydrogen, Internet of Behaviours, Internet of Things, natural language processing, quantum computing, recycling, robotic process automation, robotics, soilless farming, spatial computing and wireless power transfer.

Taito-Matamua, Lionel, Simon Fraser e 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.

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"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.

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Tateno, T., e 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.

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Kumar, K. Dinesh, Dipalee Divakar Rane, Appalaraju Muralidhar, Sam Goundar e 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.

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Green computing can be described as efficient resource management in distributed computing environments such as cloud, fog, and edge computing environments. In green computing, green refers to the eco-friendly environment with environmental responsibility to efficiently manage the computing resources. Mainly, two significant reasons are associated with global warming issues from the distributed computing perspective. They are high power consumption of cloud datacenters and high CO2 emission rate. According to many survey reports, every year, cloud datacenters alone produce nearly 90 million metric tons of CO2 into the environment, and now, this high power consumption of datacenters has become one of the primary reasons for global warming issues. Also, it stated that this CO2 emission rate would increase by 8% every year if it did not identify proper control measurements. Therefore, it is crucial to enhance e-waste management by increasing the efficiency of computing resource usage and minimizing high power consumption, high CO2 emission rate, inefficient recycling policies, etc.

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.

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Dispersoid particles are critical to the control of recrystallization and grain growth behavior during thermomechanical processing of wrought aluminum alloys. The precipitation of dispersoids has some unique characteristics that must be considered to understand the microstructure and properties obtained in the final product. Dispersoids precipitate from a segregated cast structure and therefore are inhomogeneously distributed within a grain. They often precipitate from other phases that form during heating and then redissolve. Finally, their precipitation is often in competition with other microstructural processes, for example, a change in composition of the constituent phases. Understanding these factors is critical to control dispersoid precipitation. Furthermore, the increasing demand to replace primary aluminum with recycled material requires careful control of the dispersoid-forming elements, which tend to accumulate during recycling. Small changes in the amounts of these additions can have a large effect on recrystallization behavior and hence texture and properties.

Atti di convegni sul tema "Distributed recycling":

Zhang, Jing, e 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.

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Liang, Wanlin, Tianheng Li e 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.

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Zeng, Hao, Man Li, Helei Cui, Yuefeng Du, Zhiwen Yu e 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.

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Yong, Chen, Chen Jun e 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.

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Ding, Xiao, e 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.

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Rongkun, Pan, Yu Minggao, Lu Chang e 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.

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Peng, Pin, Yarui Zhang e 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.

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Dong, Yanjie, Haijun Zhang, Md Jahangir Hossain, Julian Cheng e 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.

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Wang, Xi Vincent, Brenda N. Lopez N., Lihui Wang, Jinhui Li e 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.

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Waste Electrical and Electronic Equipment (WEEE) is both valuable and harmful since it contains a large number of profitable and hazardous materials and elements at the same time. At component level, many parts of the discarded equipment are still functional and recoverable. Thus it is necessary to develop a distributed and intelligent system to support WEEE recovery and recycling. In recent years, the Cloud concept has gained increasing popularity since it provides a service-oriented architecture that integrates various resources over the network. Cloud Manufacturing systems are proposed world-wide to support operational manufacturing processes. In this research, Cloud Manufacturing is further extended to the WEEE recovery and recycling context. A Cloud-based WEEE Recovery system is developed to provide modularized recovery services on the Cloud. A data management system is developed as well, which maintains the knowledge throughout the product lifecycle. A product tracking mechanism is also proposed with the help of the Quick Respond code method.