The Experts below are selected from a list of 80292 Experts worldwide ranked by ideXlab platform
Juan Maximo Piston - One of the best experts on this subject based on the ideXlab platform.
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Value of irrigation water in guadalquivir basin spain by Residual Value method
Water Resources Management, 2011Co-Authors: Julio Berbel, Azahara M Mesajurado, Juan Maximo PistonAbstract:This paper presents an application of Residual Value techniques to the economic analysis of irrigation water at the basin level for the Guadalquivir River (Southern Spain). The methodology is simple; the results are robust and consistent with alternative method findings. The average Residual Value in the basin is 0.31 €/m 3 and according to the to Residual Value Method, the distribution of total Gross Value Added (GVA) of irrigated land is distributed between the different factors of production as follows: (i) water, 62% of GVA; (ii) land, 20% GVA (from rain-fed productivity), (iii) return to man-made capital, 5% GVA; and finally (iv) the pair ‘management + family-labour’ gets 13% of total irrigation GVA. The paper illustrates the use of this method for the whole basin and it shows that it may offer promise for supporting sustainable water management at the basin (or the local) scale. It may be used for the implementation of the Water Framework Directive. Copyright Springer Science+Business Media B.V. 2011
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Value of irrigation water in guadalquivir basin spain by Residual Value method
Water Resources Management, 2011Co-Authors: Julio Berbel, Azahara M Mesajurado, Juan Maximo PistonAbstract:This paper presents an application of Residual Value techniques to the economic analysis of irrigation water at the basin level for the Guadalquivir River (Southern Spain). The methodology is simple; the results are robust and consistent with alternative method findings. The average Residual Value in the basin is 0.31 €/m3 and according to the to Residual Value Method, the distribution of total Gross Value Added (GVA) of irrigated land is distributed between the different factors of production as follows: (i) water, 62% of GVA; (ii) land, 20% GVA (from rain-fed productivity), (iii) return to man-made capital, 5% GVA; and finally (iv) the pair ‘management + family-labour’ gets 13% of total irrigation GVA. The paper illustrates the use of this method for the whole basin and it shows that it may offer promise for supporting sustainable water management at the basin (or the local) scale. It may be used for the implementation of the Water Framework Directive.
Julio Berbel - One of the best experts on this subject based on the ideXlab platform.
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Value of irrigation water in guadalquivir basin spain by Residual Value method
Water Resources Management, 2011Co-Authors: Julio Berbel, Azahara M Mesajurado, Juan Maximo PistonAbstract:This paper presents an application of Residual Value techniques to the economic analysis of irrigation water at the basin level for the Guadalquivir River (Southern Spain). The methodology is simple; the results are robust and consistent with alternative method findings. The average Residual Value in the basin is 0.31 €/m 3 and according to the to Residual Value Method, the distribution of total Gross Value Added (GVA) of irrigated land is distributed between the different factors of production as follows: (i) water, 62% of GVA; (ii) land, 20% GVA (from rain-fed productivity), (iii) return to man-made capital, 5% GVA; and finally (iv) the pair ‘management + family-labour’ gets 13% of total irrigation GVA. The paper illustrates the use of this method for the whole basin and it shows that it may offer promise for supporting sustainable water management at the basin (or the local) scale. It may be used for the implementation of the Water Framework Directive. Copyright Springer Science+Business Media B.V. 2011
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Value of irrigation water in guadalquivir basin spain by Residual Value method
Water Resources Management, 2011Co-Authors: Julio Berbel, Azahara M Mesajurado, Juan Maximo PistonAbstract:This paper presents an application of Residual Value techniques to the economic analysis of irrigation water at the basin level for the Guadalquivir River (Southern Spain). The methodology is simple; the results are robust and consistent with alternative method findings. The average Residual Value in the basin is 0.31 €/m3 and according to the to Residual Value Method, the distribution of total Gross Value Added (GVA) of irrigated land is distributed between the different factors of production as follows: (i) water, 62% of GVA; (ii) land, 20% GVA (from rain-fed productivity), (iii) return to man-made capital, 5% GVA; and finally (iv) the pair ‘management + family-labour’ gets 13% of total irrigation GVA. The paper illustrates the use of this method for the whole basin and it shows that it may offer promise for supporting sustainable water management at the basin (or the local) scale. It may be used for the implementation of the Water Framework Directive.
Avesta Sasan - One of the best experts on this subject based on the ideXlab platform.
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nesta hamming weight compression based neural proc engineali mirzaeian
Asia and South Pacific Design Automation Conference, 2020Co-Authors: Ali Mirzaeian, Houman Homayoun, Avesta SasanAbstract:In this paper, we present NESTA, a specialized Neural engine that significantly accelerates the computation of convolution layers in a deep convolutional neural network, while reducing the computational energy. NESTA reformats Convolutions into 3 × 3 batches and uses a hierarchy of Hamming Weight Compressors to process each batch. Besides, when processing the convolution across multiple channels, NESTA, rather than computing the precise result of a convolution per channel, quickly computes an approximation of its partial sum, and a Residual Value such that if added to the approximate partial sum, generates the accurate output. Then, instead of immediately adding the Residual, it uses (consumes) the Residual when processing the next batch in the hamming weight compressors with available capacity. This mechanism shortens the critical path by avoiding the need to propagate carry signals during each round of computation and speeds up the convolution of each channel. In the last stage of computation, when the partial sum of the last channel is computed, NESTA terminates by adding the Residual bits to the approximate output to generate a correct result.
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nesta hamming weight compression based neural proc engine
arXiv: Learning, 2019Co-Authors: Ali Mirzaeian, Houman Homayoun, Avesta SasanAbstract:In this paper, we present NESTA, a specialized Neural engine that significantly accelerates the computation of convolution layers in a deep convolutional neural network, while reducing the computational energy. NESTA reformats Convolutions into $3 \times 3$ batches and uses a hierarchy of Hamming Weight Compressors to process each batch. Besides, when processing the convolution across multiple channels, NESTA, rather than computing the precise result of a convolution per channel, quickly computes an approximation of its partial sum, and a Residual Value such that if added to the approximate partial sum, generates the accurate output. Then, instead of immediately adding the Residual, it uses (consumes) the Residual when processing the next batch in the hamming weight compressors with available capacity. This mechanism shortens the critical path by avoiding the need to propagate carry signals during each round of computation and speeds up the convolution of each channel. In the last stage of computation, when the partial sum of the last channel is computed, NESTA terminates by adding the Residual bits to the approximate output to generate a correct result.
Azahara M Mesajurado - One of the best experts on this subject based on the ideXlab platform.
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Value of irrigation water in guadalquivir basin spain by Residual Value method
Water Resources Management, 2011Co-Authors: Julio Berbel, Azahara M Mesajurado, Juan Maximo PistonAbstract:This paper presents an application of Residual Value techniques to the economic analysis of irrigation water at the basin level for the Guadalquivir River (Southern Spain). The methodology is simple; the results are robust and consistent with alternative method findings. The average Residual Value in the basin is 0.31 €/m 3 and according to the to Residual Value Method, the distribution of total Gross Value Added (GVA) of irrigated land is distributed between the different factors of production as follows: (i) water, 62% of GVA; (ii) land, 20% GVA (from rain-fed productivity), (iii) return to man-made capital, 5% GVA; and finally (iv) the pair ‘management + family-labour’ gets 13% of total irrigation GVA. The paper illustrates the use of this method for the whole basin and it shows that it may offer promise for supporting sustainable water management at the basin (or the local) scale. It may be used for the implementation of the Water Framework Directive. Copyright Springer Science+Business Media B.V. 2011
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Value of irrigation water in guadalquivir basin spain by Residual Value method
Water Resources Management, 2011Co-Authors: Julio Berbel, Azahara M Mesajurado, Juan Maximo PistonAbstract:This paper presents an application of Residual Value techniques to the economic analysis of irrigation water at the basin level for the Guadalquivir River (Southern Spain). The methodology is simple; the results are robust and consistent with alternative method findings. The average Residual Value in the basin is 0.31 €/m3 and according to the to Residual Value Method, the distribution of total Gross Value Added (GVA) of irrigated land is distributed between the different factors of production as follows: (i) water, 62% of GVA; (ii) land, 20% GVA (from rain-fed productivity), (iii) return to man-made capital, 5% GVA; and finally (iv) the pair ‘management + family-labour’ gets 13% of total irrigation GVA. The paper illustrates the use of this method for the whole basin and it shows that it may offer promise for supporting sustainable water management at the basin (or the local) scale. It may be used for the implementation of the Water Framework Directive.
Miroslaw J Skibniewski - One of the best experts on this subject based on the ideXlab platform.
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modelling Residual Value risk through ontology to address vulnerability of ppp project system
Advanced Engineering Informatics, 2018Co-Authors: Jingfeng Yuan, Miroslaw J Skibniewski, Kaiwen ChenAbstract:Abstract For facilitating the management of Residual Value Risk (RVR) in Public Private Partnership (PPP) projects, an ontology-based model is established to describe the generation process and complex relationships of RVR. An ontology-based approach is proposed to analyze the RVR in PPPs, which is a framework addressing the vulnerability and a knowledge-based modeling for RVR management. The RVR ontology model is composed of class of Project, Risk, and Vulnerability, as well as taxonomy of risk factors for risk sources (RS), risk events (RE), risk consequences (RC), exposure (V1), resilience (V2) and sensitivity (V3). Meanwhile, different relationships among taxonomies, classes and individuals are expressed in model. Moreover, the object properties for class project and the object properties of inherited/non-inherited relationships are defined. Meanwhile, project-based, risk-based, and vulnerability-based datatype property are further described. Then a real individual is established by using the ontology editing software Protege. The proposed RVR ontology model can be used to visualize and manipulate various representations in RVR management as well as to implement the work of risk reasoning and analyzing. The proposed RVR ontology framework provides a useful framework to systematize different knowledge of RVRs in PPP projects, in which the related knowledge can be described clearly and effectively. Moreover, the proposed framework can enhance data process function and improve the analysis of RVR probability and vulnerability in PPP projects through sharedness and transferability of RVR knowledge provided by ontology-based RVR model for different stakeholders in PPP projects.
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perception of Residual Value risk in public private partnership projects critical review
Journal of Management in Engineering, 2015Co-Authors: Jingfeng Yuan, Albert P C Chan, Wei Xiong, Miroslaw J SkibniewskiAbstract:AbstractGiven the increased demand for public facilities and the lack of funds and skills to maintain, repair, and replenish the existing facilities, public private partnerships (PPPs) have been widely adopted and have significantly contributed to the development of new infrastructure built throughout the world. However, because many PPP projects will be transferred back to the host governments upon expiry of the concession period, problems related to the subsequent management of PPP projects have not yet been thoroughly studied. Residual Value risk (RVR) is a critical concern when the projects revert back to the public sector. Through an extensive literature review and an open-ended questionnaire survey, the perception of RVR in PPP projects is elaborated in this paper, which aims to present a precise definition and meaning of RVR in PPP projects. The survey results indicate that RVR is viewed as an important concern by professionals and academics. The definition of RVR can be phrased as the risk that on...
