Relevant bibliographies by topics / Hybrid multiregional input-output analysis

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Hybrid multiregional input-output analysis'

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Published: 28 June 2021
Last updated: 18 February 2022

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Journal articles on the topic "Hybrid multiregional input-output analysis"

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Weinzettel, Jan, Kjartan Steen-Olsen, Edgar G. Hertwich, Michael Borucke, and Alessandro Galli. "Ecological footprint of nations: Comparison of process analysis, and standard and hybrid multiregional input–output analysis." Ecological Economics 101 (May 2014): 115–26. http://dx.doi.org/10.1016/j.ecolecon.2014.02.020.

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Weinzettel, Jan, Kjartan Steen-Olsen, Edgar G. Hertwich, Michael Borucke, and Alessandro Galli. "Corrigendum to “Ecological footprint of nations: Comparison of process analysis, and standard and hybrid multiregional input–output analysis” [Ecol. Econ. 101 (2014); 115–126]." Ecological Economics 105 (September 2014): 350. http://dx.doi.org/10.1016/j.ecolecon.2014.08.001.

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Fleischer, Aliza, and Daniel Freeman. "Multiregional input-output analysis." Annals of Tourism Research 24, no. 4 (October 1997): 998–1001. http://dx.doi.org/10.1016/s0160-7383(97)00039-x.

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Sonis, Michael, and Geoffrey J. D. Hewings. "Economic complexity as network complication: Multiregional input-output structural path analysis." Annals of Regional Science 32, no. 3 (August 3, 1998): 407–36. http://dx.doi.org/10.1007/s001680050081.

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Liu, Qiaoling, and Qi Wang. "Reexamine SO2 emissions embodied in China's exports using multiregional input–output analysis." Ecological Economics 113 (May 2015): 39–50. http://dx.doi.org/10.1016/j.ecolecon.2015.02.026.

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Liu, Yating, Saige Wang, and Bin Chen. "Regional water–energy–food nexus in China based on multiregional input–output analysis." Energy Procedia 142 (December 2017): 3108–14. http://dx.doi.org/10.1016/j.egypro.2017.12.452.

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Wu, Leying, Zhangqi Zhong, Changxin Liu, and Zheng Wang. "Examining PM2.5 Emissions Embodied in China’s Supply Chain Using a Multiregional Input-Output Analysis." Sustainability 9, no. 5 (May 3, 2017): 727. http://dx.doi.org/10.3390/su9050727.

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Wakiyama, Takako, Manfred Lenzen, Arne Geschke, Ryosuke Bamba, and Keisuke Nansai. "A flexible multiregional input–output database for city-level sustainability footprint analysis in Japan." Resources, Conservation and Recycling 154 (March 2020): 104588. http://dx.doi.org/10.1016/j.resconrec.2019.104588.

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Shepard, Jun U., and Lincoln F. Pratson. "Hybrid input-output analysis of embodied energy security." Applied Energy 279 (December 2020): 115806. http://dx.doi.org/10.1016/j.apenergy.2020.115806.

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Towa, Edgar, Vanessa Zeller, and Wouter M. J. Achten. "Circular economy scenario modelling using a multiregional hybrid input-output model: The case of Belgium and its regions." Sustainable Production and Consumption 27 (July 2021): 889–904. http://dx.doi.org/10.1016/j.spc.2021.02.012.

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Dissertations / Theses on the topic "Hybrid multiregional input-output analysis"

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Gangemi, Michael Andrew, and michael gangemi@rmit edu au. "Modeling The Economic Impact of A Farming Innovation Group On A Regional Economy - A Top-Down Versus Hybrid Input-Output Approach." RMIT University. Economics, Finance And Marketing, 2008. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080828.163749.

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This thesis involves construction of input-output models measuring the economic impact of a farming innovation organisation (The Birchip Cropping Group) on the Victorian regional economy of Buloke Shire. The input-output modeling undertaken is of two forms; the first being a simple naïve top-down model, and the second a more sophisticated hybrid model. The naïve top-down model is based on input-output coefficients drawn from the Australian national input-output tables, and is regarded as naïve because these input-output coefficients are not adjusted to take account of local economic factors. The hybrid model uses the same national input-output coefficients as a base, and then modifies these coefficients to better reflect industrial conditions in the Shire using a location quotients-adjustment technique, as well as using original survey data collected from entities operating in Buloke Shire. One of the aims of the thesis is to determine whether the simpler naïve top-down approach produces results consistent with the theoretically more accurate hybrid methodology, and thus whether the naïve top-down approach represents a reliable method of conducting regional economic impact analysis. That is, can such studies be undertaken accurately using a naïve top down approach, or is it necessary to adopt the more resource intensive methodology of a hybrid model. The results of the analysis suggest construction of a hybrid model is advisable, as generally the naïve top-down approach produces over-estimates of the economic effects of the Birchip Cropping Group. That is, it appears the economic impact multipliers estimated with the naïve top-down model are too large, suggesting the time and effort involved in constructing the hybrid model was worthwhile. Using the hybrid model, the conclusion is that the Birchip Cropping Group has a significant affect on the regional economy of Buloke Shire, with the economic impact being estimated at close to $600,000 in additional output, $61,000 in additional income, and 3.5 additional jobs per year.
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Heiskala, Linnea. "Det bästa av två världar? : En utredning av praktisk tillämpning och användbarhet av hybrid-LCA för att inventera klimatpåverkan från konsumtion i kommuner och landsting." Thesis, KTH, Miljöstrategisk analys (fms), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189165.

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More and more local governments (municipalities and county councils) include the indirect climate impacts of consumption in their environmental work. Life Cycle Assessment (LCA) is an established tool for inventorying both direct and indirect impacts of a product or service, but when the climate impact of an entire organization's consumption of products and services is of interest, the inventory of data can easily become excessive. Through the years, various methods for enabling life cycle inventory on the organizational level have been developed. Hybrid-LCA is one of them where the term "hybrid" comes from that the method combines a so-called bottom up with a top down approach of the data inventory. The practical application of hybrid-LCA and the usefulness of the assessment results for local governments are not self-evident. This study aims to investigate the practical application of hybrid-LCA as a tool for inventorying climate impact for municipalities’ and county councils’ consumption. The purpose includes identifying the challenges associated with the practical procedure when conducting a hybrid-LCA and evaluating the inventory results’ usefulness in municipalities and county councils’ climate work. The results of the study are based on semi-structured interviews, a case study in which hybrid LCA is applied and a workshop where the case study is evaluated. The results show that the hybrid-LCA enables both a holistic approach to the climate impact and a level of detail for selected areas, making it possible to prioritize areas and identify measures to reduce the climate impact from consumption. The main challenges that arise in the practical procedure of the hybrid-LCA are associated with inventory and verification of foreground data and matching purchases of product groups to standardized classifications. To simplify the execution, increase transparency and facilitate monitoring, local governments are recommended to investigate the possibility of coordinating purchasing system and labeling product groups, in accordance with standardized classifications. It is also recommended to request information about a products weight and material content from suppliers. The uncertainties associated with the outcome of a hybrid-LCA are and remain large, therefore it is important that the results are communicated in terms of potential environmental impacts.
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Wood, Richard, Konstantin Stadler, Moana Simas, Tatyana Bulavskaya, Stefan Giljum, Franz Stephan Lutter, and Arnold Tukker. "Growth in Environmental Footprints and Environmental Impacts Embodied in Trade: Resource Efficiency Indicators from EXIOBASE3." Wiley, 2018. http://dx.doi.org/10.1111/jiec.12735.

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Most countries show a relative decoupling of economic growth from domestic resource use, implying increased resource efficiency. However, international trade facilitates the exchange of products between regions with disparate resource productivity. Hence, for an understanding of resource efficiency from a consumption perspective that takes into account the impacts in the upstream supply chains, there is a need to assess the environmental pressures embodied in trade. We use EXIOBASE3, a new multiregional input-output database, to examine the rate of increase in resource efficiency, and investigate the ways in which international trade contributes to the displacement of pressures on the environment from the consumption of a population. We look at the environmental pressures of energy use, greenhouse gas (GHG) emissions, material use, water use, and land use. Material use stands out as the only indicator growing in both absolute and relative terms to population and gross domestic product (GDP), while land use is the only indicator showing absolute decoupling from both references. Energy, GHG, and water use show relative decoupling. As a percentage of total global environmental pressure, we calculate the net impact displaced through trade rising from 23% to 32% for material use (1995¿2011), 23% to 26% for water use, 20% to 29% for energy use, 20% to 26% for land use, and 19% to 24% for GHG emissions. The results show a substantial disparity between trade-related impacts for Organization for Economic Cooperation and Development (OECD) and non-OECD countries. At the product group level, we observe the most rapid growth in environmental footprints in clothing and footwear. The analysis points to implications for future policies aiming to achieve environmental targets, while fully considering potential displacement effects through international trade.
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Giljum, Stefan, Hanspeter Wieland, Franz Stephan Lutter, Nina Eisenmenger, Heinz Schandl, and Anne Owen. "The impacts of data deviations between MRIO models on material footprints: A comparison of EXIOBASE, Eora, and ICIO." Wiley, 2019. http://dx.doi.org/10.1111/jiec.12833.

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In various international policy processes such as the UN Sustainable Development Goals, an urgent demand for robust consumption-based indicators of material flows, or material footprints (MFs), has emerged over the past years. Yet, MFs for national economies diverge when calculated with different Global Multiregional Input-Output (GMRIO) databases, constituting a significant barrier to a broad policy uptake of these indicators. The objective of this paper is to quantify the impact of data deviations between GMRIO databases on the resulting MF. We use two methods, structural decomposition analysis and structural production layer decomposition, and apply them for a pairwise assessment of three GMRIO databases, EXIOBASE, Eora, and the OECD Inter-Country Input-Output (ICIO) database, using an identical set of material extensions. Although all three GMRIO databases accord for the directionality of footprint results, that is, whether a countries' final demand depends on net imports of raw materials from abroad or is a net exporter, they sometimes show significant differences in level and composition of material flows. Decomposing the effects from the Leontief matrices (economic structures), we observe that a few sectors at the very first stages of the supply chain, that is, raw material extraction and basic processing, explain 60% of the total deviations stemming from the technology matrices. We conclude that further development of methods to align results from GMRIOs, in particular for material-intensive sectors and supply chains, should be an important research priority. This will be vital to strengthen the uptake of demand-based material flow indicators in the resource policy context.
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Bruckner, Martin, Tiina Häyhä, Stefan Giljum, Victor Maus, Günther Fischer, Sylvia Tramberend, and Jan Boerner. "Quantifying the global cropland footprint of the European Union's non-food bioeconomy." IOP Publishing, 2019. http://dx.doi.org/10.1088/1748-9326/ab07f5.

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A rapidly growing share of global agricultural areas is devoted to the production of biomass for non-food purposes. The expanding non-food bioeconomy can have far-reaching social and ecological implications; yet, the non-food sector has attained little attention in land footprint studies. This paper provides the first assessment of the global cropland footprint of non-food products of the European Union (EU), a globally important region regarding its expanding bio-based economy. We apply a novel hybrid land flow accounting model, combining the biophysical trade model LANDFLOW with the multi-regional input-output model EXIOBASE. The developed hybrid approach improves the level of product and country detail, while comprehensively covering all global supply chains from agricultural production to final consumption, including highly-processed products, such as many non-food products. The results highlight the EU's role as a major processing and the biggest consuming region of cropland-based non-food products while at the same time relying heavily on imports. Two thirds of the cropland required to satisfy the EU's non-food biomass consumption are located in other world regions, particularly in China, the US and Indonesia, giving rise to potential impacts on distant ecosystems. With almost 39% in 2010, oilseeds used to produce for example biofuels, detergents and polymers represented the dominant share of the EU's non-food cropland demand. Traditional non-food biomass uses, such as fibre crops for textiles and animal hides and skins for leather products, also contributed notably (22%). Our findings suggest that if the EU Bioeconomy Strategy is to support global sustainable development, a detailed monitoring of land use displacement and spillover effects is decisive for targeted and effective EU policy making.
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Chu, Thi My Chinh. "On the Performance Assessment of Advanced Cognitive Radio Networks." Doctoral thesis, Blekinge Tekniska Högskola [bth.se], Faculty of Computing - Department of Communication Systems, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00611.

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Due to the rapid development of wireless communications together with the inflexibility of the current spectrum allocation policy, radio spectrum becomes more and more exhausted. One of the critical challenges of wireless communication systems is to efficiently utilize the limited frequency resources to be able to support the growing demand of high data rate wireless services. As a promising solution, cognitive radios have been suggested to deal with the scarcity and under-utilization of radio spectrum. The basic idea behind cognitive radios is to allow unlicensed users, also called secondary users (SUs), to access the licensed spectrum of primary users (PUs) which improves spectrum utilization. In order to not degrade the performance of the primary networks, SUs have to deploy interference control, interference mitigating, or interference avoidance techniques to minimize the interference incurred at the PUs. Cognitive radio networks (CRNs) have stimulated a variety of studies on improving spectrum utilization. In this context, this thesis has two main objectives. Firstly, it investigates the performance of single hop CRNs with spectrum sharing and opportunistic spectrum access. Secondly, the thesis analyzes the performance improvements of two hop cognitive radio networks when incorporating advanced radio transmission techniques. The thesis is divided into three parts consisting of an introduction part and two research parts based on peer-reviewed publications. Fundamental background on radio propagation channels, cognitive radios, and advanced radio transmission techniques are discussed in the introduction. In the first research part, the performance of single hop CRNs is analyzed. Specifically, underlay spectrum access using M/G/1/K queueing approaches is presented in Part I-A while dynamic spectrum access with prioritized traffics is studied in Part I-B. In the second research part, the performance benefits of integrating advanced radio transmission techniques into cognitive cooperative radio networks (CCRNs) are investigated. In particular, opportunistic spectrum access for amplify-and-forward CCRNs is presented in Part II-A where collaborative spectrum sensing is deployed among the SUs to enhance the accuracy of spectrum sensing. In Part II-B, the effect of channel estimation error and feedback delay on the outage probability and symbol error rate (SER) of multiple-input multiple-output CCRNs is investigated. In Part II-C, adaptive modulation and coding is employed for decode-and-forward CCRNs to improve the spectrum efficiency and to avoid buffer overflow at the relay. Finally, a hybrid interweave-underlay spectrum access scheme for a CCRN is proposed in Part II-D. In this work, the dynamic spectrum access of the PUs and SUs is modeled as a Markov chain which then is utilized to evaluate the outage probability, SER, and outage capacity of the CCRN.
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Mach, Radomír. "Dopad spotřeby domácností na životní prostředí." Doctoral thesis, 2021. http://www.nusl.cz/ntk/nusl-446401.

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The main goal of this dissertation thesis is to quantify the environmental burden associated with household consumption in the Czech Republic. Emissions of three groups of gases were selected to express the burden on the environment, namely emissions causing climate change, acidification and the formation of photosmog. These emissions arise from the consumption of fuels in households, and they are usually referred to as direct household emissions. Or they arise in the production and distribution of goods and services, and they are usually referred to as indirect household emissions. Although indirect emissions come from combustion in energy production and other industrial processes and agricultural activities, not from households, they are a consequence of household demand for final products. Therefore, such emissions are considered to be a consequence of household consumption. The resulting emission values are given for the average household and households divided into expenditure deciles. Emissions increase with expenditure per household member in total consumption and in individual consumption groups across all deciles. In the case of climate change-related emissions, more than half come from heating (41%) and electricity (21%). For acidification, heating (31%) and food (24%) are the dominant...
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Fan, Chen-chi, and 范振基. "The improvement of Ecological Footprint method－the application of sustainable productivity and hybrid input-output analysis." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/19726434550075779537.

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碩士
國立臺北大學
資源管理研究所
90
The “Ecological Footprint” which was proposed by Wackernagel and Rees in 1996 is viewed as an index of sustainability and it means the area of land and water required for resource provision and environmental assimilation in order to support the final consumption of a defined human population. The ecological footprint (EF) provides an evaluation regarding the dependence of humanity on the ecosystem and then justifies whether the human population survives within the carrying capacity of a defined territory. This research attempted to release one of the assumptions in the EF calculation- the current harvest practices are sustainable. Using agricultural footprint as an example, this research obtained the picture of sustainable yield of paddy rice based on statistics and relevant literature. With regard to the EF calculation, this research adopted hybrid input-output analysis in order to take into account the raw material embodied in the imported and exported manufactured products. The contribution of this research is to make the EF calculation more reasonable such that the results can reveal the extent to which the human consumption depends on ecological systems from the perspective of sustainable yield. The results show that the area of farmland required by the Taiwan residents is larger when the assumption of current sustainable yield is released. This justifies the necessity and importance of examining whether the current harvest is sustainable in the EF calculation.
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(11272506), Miriam Chrisandra Stevens. "A framework for domestic supply chain analysis of critical materials in the United States: an economic input-output-based approach." Thesis, 2021.

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The increasing demand for mineral-based resources that face supply risks calls for managing the supply chains for these resources at the regional level. Cobalt is a widely used cathode material in lithium-ion batteries, which form the major portion of batteries used for renewable energy storage - a necessary technology for electrifying mobility and overcoming the challenge of intermittency, thus making renewable energy more reliable and energy generation more sustainable. This necessitates understanding cobalt's supply risks and for the Untied States, identifying sources of cobalt available for future use via recycling or mining. These needs are addressed in this work using single and multiregional input-output (MRIO) analysis in combination with graph theory. An MRIO-based approach is developed to obtain the trade network of cobalt and offer a more expedient way to identify potential critical material sources embodied in commodities made domestically. Commodities containing cobalt were disaggregated from two input-output (IO) models and the trade structure of cobalt at the national and state level was observed and compared. The significance of identified key sectors is measured according to several criteria and differences in sectors highlighted in the national versus subnational networks suggests that analysis at the two regional aggregation levels provides alternative insights. Results from mining the IO networks for cobalt highlight the geographical distribution of its use and industries to further investigate as potential sources for secondary feedstock.
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Yen-ChiChen and 陳彥錡. "Hybrid Input-Output Analysis on Business Water Footprint of Taiwanese Industry—A Case Study on Crystalline Silicon Solar Cells Manufacturer." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/25444177894795064024.

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碩士
國立成功大學
環境工程學系碩博士班
99
Rapid industrialization and population growth have increased the rate of depletion of various scarce natural resources, such as freshwater, forest, and oil. The depletion of natural freshwater is an issue of particular importance because freshwater is indispensable both for human well-being and for ecological systems. The development of water use (WU) inventories for many human activities has thus received increasing attention. For example, the International Organization for Standardization (ISO) is working on the establishment of a standard for the assessment of a water footprint of a product. And, compared to other environmental impact categories such as greenhouse gas emissions, freshwater consumption is relatively new and no consistent standard. Therefore, it is difficult for industries to conduct a water footprint study on their products in a consistent and comprehensive manner. In this study, a comprehensive business water footprint (BWF) framework for companies is developed. Using this framework, companies can combine their financial data and direct water used with the national economic input-output (IO) table to construct environmentally extended IO table to evaluate their BWF. A Taiwanese crystalline silicon solar cells company is taken as a case study to verify this framework. The results show that the company had a BWF of 26.4 billion L for its production of crystalline silicon solar cells in 2006. The indirect (upstream supply chain) BWF associated with the silicon materials, such as ingots and wafers, had the largest contribution. The IO table is compiled every five years (ex. the most recent update is made for 2006); therefore, there is no input-output table available in other years (such as 2008). Using the methodology described in the framework, the BWFs for companies were calculated. Under the proposed framework, product water footprints (PWFs) can also be estimated from the BWF for company. The framework provides a simple yet comprehensive means of calculating BWFs in a company, especially where related data are not widely available or accessible for a process-based product-specific water footprint.
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Books on the topic "Hybrid multiregional input-output analysis"

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Norimichi, Toyomane. Multiregional input-output models in long-run simulation. Dordrecht, The Netherlands: Kluwer Academic Publishers, 1988.

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Costa, Paolo. The economic impact of tourism in Italy: A multiregional multisectoral analysis for 1988 : [presented at the]tenth International Conference on Input-Output Techniques, Sevilla, March 29-April 3, 1993. Venezia: CISET, 1993.

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Book chapters on the topic "Hybrid multiregional input-output analysis"

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Owen, Anne. "Erratum to: Techniques for Evaluating the Differences in Multiregional Input-Output Databases." In Developments in Input-Output Analysis, E3. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51556-4_9.

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Ishikawa, Yoshifumi. "Economic Impact Analysis of Installing Renewable Energy: A Multiregional Input–Output Model for a Small Region and the Rest of the Country." In A Broad View of Regional Science, 371–87. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4098-5_19.

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Cooper, Russel J. "An Extension of the Block Spatial Path Approach to Analysis of the Influence of Intra and Interregional Trade on Multiplier Effects in General Multiregional Input-Output Models." In Advances in Spatial Science, 303–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59787-9_15.

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Diedrich, Alexander, Kaja Balzereit, and Oliver Niggemann. "First Approaches to Automatically Diagnose and Reconfigure Hybrid Cyber-Physical Systems." In Machine Learning for Cyber Physical Systems, 113–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-62746-4_12.

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AbstractMaintaining modern production machinery requires a significant amount of time and money. Still, plants suffer from expensive production stops and downtime due to faults within individual components. Often, plants are too complex and generate too much data to make manual analysis and diagnosis feasible. Instead, faults often occur unnoticed, resulting in a production stop. It is then the task of highly-skilled engineers to recognise and analyse symptoms and devise a diagnosis. Modern algorithms are more effective and help to detect and isolate faults faster and more precise, thus leading to increased plant availability and lower operating costs.In this paper we attempt to solve some of the described challenges. We describe a concept for an automated framework for hybrid cyberphysical production systems performing two distinct tasks: 1) fault diagnosis and 2) reconfiguration. For diagnosis, the inputs are connection and behaviour models of the components contained within the system and a model describing their causal dependencies. From this information the framework is able to automatically derive a diagnosis provided a set of known symptoms. Taking the output of the diagnosis as a foundation, the reconfiguration part generates a new configuration, which, if applicable, automatically recovers the plant from its faulty state and resumes production. The described concept is based on predicate logic, specifically Satisfiability-Modulo-Theory. The input models are transformed into logical predicates. These predicates are the input to an implementation of Reiter’s diagnosis algorithm, which identifies the minimum-cardinality diagnosis. Taking this diagnosis, a reconfiguration algorithm determines a possible, alternative control, if existing. Therefore the current system structure described by the connection and component models is analysed and alternative production plans are searched. If such an alternative plan exists, it is transmitted to the control of the system. Otherwise, an error that the system is not reconfigurable is returned.
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Hewings, Geoffrey J. D., and Rodney C. Jensen. "Chapter 8 Regional, interregional and multiregional input-output analysis." In Handbook of Regional and Urban Economics, 295–355. Elsevier, 1987. http://dx.doi.org/10.1016/s1574-0080(00)80011-5.

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Beletskii, Yuriy. "Global Multiregional Input-Output Tables: Use For National Economy Analysis." In Scientific Articles – Institute of Economic Forecasting Russian Academy of Sciences, 97–118. LLC MAKS Press, 2019. http://dx.doi.org/10.29003/m813.sp_ief_ras2019/97-118.

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Bon, Ranko. "Comparative Stability Analysis of Multiregional Input-Output Models: Column, Row and Leontief-Strout Gravity Coefficient Models*." In Economic Structure and Maturity, 57–80. Routledge, 2018. http://dx.doi.org/10.4324/9781315205274-4.

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Serkani, Elahe Shariatmadari. "Evaluation of Faculties by DEA-ANP Hybrid Algorithm of Chapter." In Data Envelopment Analysis and Effective Performance Assessment, 138–83. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0596-9.ch004.

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One of the fundamental issues facing universities, research centers and institutes of higher education is the absence of an integrated system for performance evaluation. Data Envelopment Analysis (DEA) is a mathematical and management technique for evaluation of Decision Making Units (DMUs) with multiple input and output. The original DEA does not perform full-ranking; instead, it merely provides classification into two groups: efficient and inefficient. Among the available multi-attribute decision-making methods only Analytic Network Process (ANP) can be used to evaluate performance systematically due to the dependencies and feedbacks caused by the mutual effects of the criteria. The DEA-ANP hybrid algorithm, is designed to eliminate the disadvantage of full-ranking in the DEA method, as well as the disadvantage of subjective evaluation in the ANP method. The goal of this chapter is measuring educational and research performance of seventeen faculties, for the academic year 2009-2010, by using the DEA-ANP hybrid algorithm.
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Picasso, Bruno, and Antonio Bicchi. "Practical Stabilization of Discrete Time Linear SISO Systems Under Assigned Input and Output Quantization11This work was supported by European Commission through the IST-2004-004536 (IP) “RUNES - Reconfigurable Ubiquitous Networked Embedded Systems” and the IST-2004-511368 (NoE) “HYCON - HYbrid CONtrol: Taming Heterogeneity and Complexity of Networked Embedded Systems”." In Analysis and Design of Hybrid Systems 2006, 353–58. Elsevier, 2006. http://dx.doi.org/10.1016/b978-008044613-4.50064-1.

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Arora, Pranav. "The Heart and Brain of SDN." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 100–126. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3640-6.ch005.

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The chapter explores the various types and functionalities of controllers present in the field of software-defined networking. It is responsible for providing a bridge between various application interfaces. It enables smart networking and is solely responsible for having an authority over the network. It takes input from one API, processes it, and returns output for the high-level interface or API. They instruct the switch as to what functions to perform and can be of two types: either pure or hybrid. The controller at the central layer performs all the functions of the “evergreen” existing switches. The data plane of the router is solely the foreground for the switch to apply all its powers, while in hybrid switch software-defined networking and existing technologies work hand in hand. An administrator can build up the SDN tools to manage the traffic, whereas the existing network protocols progressively move the various incoming packets onto the network. This engenders hybrid network. Here the existing and SDN technologies or switches, work under the similar conditions.
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Conference papers on the topic "Hybrid multiregional input-output analysis"

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Fabusuyi, Tayo, and Juergen Pfeffer. "Applying an hybrid Input-Output Model and Network Analysis to Regional Economies." In 2018 IEEE International Smart Cities Conference (ISC2). IEEE, 2018. http://dx.doi.org/10.1109/isc2.2018.8656698.

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T, Shibila Sherin P., and Ramesh Kumar P. "Analysis and Implementation of a Single Input Dual Output Boost Derived Hybrid Converter." In 2020 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR). IEEE, 2020. http://dx.doi.org/10.1109/icfcr50903.2020.9250001.

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Oe, Kazuichi, Takeshi Nanri, and Koji Okamura. "Analysis of Storage Workloads of Input-Output Access Locality and Designing of Hybrid Storage System." In 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI). IEEE, 2016. http://dx.doi.org/10.1109/iiai-aai.2016.54.

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Zhang, Lei, Bin Liu, Hong Xian Li, Chunlu Liu, Jie Du, and Jun Wang. "Carbon Dioxide Emission Linkage Analysis of Australian Construction Sector—Based on a Hybrid Multi-Regional Input-Output Model." In Construction Research Congress 2020. Reston, VA: American Society of Civil Engineers, 2020. http://dx.doi.org/10.1061/9780784482865.003.

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Tsai, Alex, Larry Banta, David Tucker, and Randall Gemmen. "RGA Analysis of a Solid Oxide Fuel Cell Gas Turbine Hybrid Plant." In ASME 2008 6th International Conference on Fuel Cell Science, Engineering and Technology. ASMEDC, 2008. http://dx.doi.org/10.1115/fuelcell2008-65070.

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This paper presents a Relative Gain Array (RGA) analysis of a simulated SOFC/Gas Turbine plant based on a multivariate empirical formulation of a 300kW hybrid system. The HyPer test facility at the National Energy Technology Laboratory, served as the test bed for deriving frequency response data and subsequent multivariable model of a direct fired, recuperated hybrid cycle plant. Through the modulation of various airflow bypass-valves, magnitude and phase data is used to formulate Transfer Function {TF} equations that describe input/output system interaction. A frequency dependent RGA calculation of the empirical Transfer Function matrix provides a means of quantifying the degree of coupling between system inputs and outputs for the configuration studied. Various input/output interaction time scales are obtained to identify frequencies where fully developed system coupling occur. Analysis of the RGA matrix leads to a better understanding of the inherent properties the hybrid configuration, and can serve as a validating tool to existing analytical RGA calculations of similar types of hybrids.
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Fazeli, Amir Mohammad, Ali Nabi, Farzad Rajaei Salmasi, and Meisam Amiri. "Development of Energy Management System for a Parallel Hybrid Electric Vehicle Using Fuzzy Logic." In ASME 8th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2006. http://dx.doi.org/10.1115/esda2006-95359.

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In this paper a fuzzy power controller for a parallel hybrid passenger car is developed in order to minimize its fuel consumption and optimize its components efficiencies. This is done by controlling the engine operating points in its optimal region and maintaining the SoC of batteries and electric motor operating point at the highest possible efficiency. Of course the designed control strategy must be able to obey the driver’s commands and achieve the PNGV regulations. The controller implemented in this paper is a Mamdani fuzzy logic controller which takes the batteries SoC, electric motor’s speed, ICE speed and the total demanded torque as its input variables and gives the ICE torque as its output. This controller has been simulated using the ADvanced VehIcle SimulatOR (ADVISOR) and its results have been compared to the default fuel mode fuzzy controller of ADVISOR. Simulation results show considerable improvement in the efficiency of the ICE and consequently, fuel consumption and acceleration performances.
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Zhou, Chunguo, Hongzhao Liu, and Yahui Cui. "Analysis of Power Distribution and Sensitivity for the Power Synthesizer of Hybrid Electric Vehicle." In ASME 2008 2nd International Conference on Energy Sustainability collocated with the Heat Transfer, Fluids Engineering, and 3rd Energy Nanotechnology Conferences. ASMEDC, 2008. http://dx.doi.org/10.1115/es2008-54076.

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The Power Synthesizer of Parallel Hybrid Electric Vehicle (PHEV) has been the research object. It is composed of the differential gear train, in which its power distribution and sensitivity has been analyzed as main problems. The transmission ratio, torque and power distribution have been analyzed about the gear train. Whatever its structure is, if only the value of structure parameter K is same, then the corresponding relative kinematics relation and mechanics relation of the basic components are same absolutely. The calculation of power distribution among basic components has been introduced. The sensitivity has direct influence to the mobile performance of vehicle, so the angular speed response for output components to input components has been analyzed, and the connecting mode between engine or motor and differential gear train has been bought forward. The analytical results can be helpful for the parameters’ design of kinematics and dynamics of the vehicle, and for the vehicle’s control.
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Ibrahim, Nasiru I., Fahad A. Al-Sulaiman, and Saidur Rahman. "Thermodynamic Analysis of a Mini Hybrid Solar Driven Cooling-Desalination System." In ASME 2016 10th International Conference on Energy Sustainability collocated with the ASME 2016 Power Conference and the ASME 2016 14th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/es2016-59524.

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Water desalination and air conditioning consumes huge amount of energy that mostly come from fossil fuels, which produces harmful emissions detrimental to the environment. This work is concerned with the use of a new hybrid cooling and water desalination system driven by solar thermal energy. The system primarily consists of an evacuated tube solar collector, LiBr absorption chiller, and a humidification-dehumidification (HDH) unit. Seawater is used to cool the condenser and absorber of the chiller as well as the condenser of the HDH unit. The heat rejected by the absorber is used to drive the HDH unit. Thermodynamic model of the system has been formulated and simulated using engineering equation solver (EES) software. The results show that the coefficient of performance (COP) of the chiller nearly remain constant with increase in seawater temperature at the absorber inlet. The average COP of the chiller is found to be 0.76. The hybrid system efficiency increases with increase in the seawater temperature mainly due the effect of latent heat of water condensation. The rate of fresh water production increases with increase in the seawater inlet temperature. This resulted in a higher outlet temperature at the absorber exit, leading to a higher energy input to the HDH unit. Gained output ratio (GOR) increases with increase in seawater temperature. This is due to the direct proportionality of the GOR to the amount of fresh water produced. The results also revealed that increasing the flow rate of seawater causes the decrease in the fresh water production due to the corresponding decrease in the temperature of the seawater.
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Dhingra, A. K., A. N. Almadi, and D. Kohli. "A Gröbner-Sylvester Hybrid Method for Closed-Form Displacement Analysis of Mechanisms." In ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/mech-5969.

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Abstract The displacement analysis problem for planar and spatial mechanisms can be written as a system of multivariate polynomial equations. Elimination theory based on resultants and polynomial continuation are some of the methods which have been used to solve this problem. This paper presents a new approach to displacement analysis using the reduced Gröbner basis form of a system of equations under degree lexicographic (dlex) term ordering of its monomials and Sylvester’s Dialytic elimination method. Using the Gröbner-Sylvester hybrid approach, a finitely solvable system of equations F is transformed into its reduced Gröbner basis G using dlex term ordering. Next, using the entire or a subset of the set of generators in G, the Sylvester’s matrix is assembled. The vanishing of the resultant, given as the determinant of Sylvester’s matrix, yields the necessary and sufficient condition for the polynomials in G (as well as F) to have a common factor. The proposed approach appears to provide a systematic and rational procedure to the problem discussed by Roth (1994) dealing with the generation of (additional) equations for constructing the Sylvester’s matrix. Three examples illustrating the applicability of the proposed approach to displacement analysis of planar and spatial mechanisms are presented. The first and second examples deal with forward displacement analysis of the general 6-6 Stewart mechanism and the 6-6 Stewart platform, whereas the third example deals with the determination of the input-output polynomial of a 8-link 1-DOF mechanism which does not contain any 4-link loops.
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Hoseyni, Seyed Mohsen, and Mohammad Pourgol-Mohammad. "A Systematic Approach for Severe Accident Uncertainty Analysis." In 2016 24th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/icone24-60217.

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Uncertainty exists in every modeling process especially in those areas with complexity of the calculations like severe accident (SA) code which cover a broad range of physical and chemical phenomena. A systematic framework is proposed here for effective uncertainty assessment of SA computations by efficient use of available data and information. Available methodologies are either input-based or output based. The proposed methodology takes the advantages of both approaches and introduces an integrated one which quantifies the uncertainty of code input parameters (parameter uncertainty), code internal structure (model uncertainty) and code outputs (output uncertainty). The proposed methodology is comprisd of a hybrid qualitative and quantitative approach for identification of uncertainty sources. Using a Bayesian ensemble of sensitivity measures, identified severe accident phenomena are ranked according to their effect on the figure of merit. The other feature of the proposed methodology is the consideration of the SA code structural uncertainties (generally known as model uncertainty) explicitly by treating internal sub-model uncertainties and by propagating such model uncertainties in the code calculations, including uncertainties about input parameters. The code output is further updated through additional Bayesian updating with available experimental data from the integrated test facilities. In this paper, the key elements are discussed for the uncertainty analysis methodology and its application is demonstrated on the LP-FP2 experiment of LOFT test facility.
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