Search results for "input"

Calculating the regional economic impact of the olympic games

2004

This study introduces a methodological concept to combine the cost‐benefit analysis and input‐output models to create a new method to regionalize Olympic costs and benefits in order to define the economic impact at the regional level. This new form of analysis is used to calculate the regional economic impact of the Frankfurt Rhein/Main region, which bid to stage the 2012 Olympics. A generalised view of the Frankfurt case study shows patterns that are valid for all impact studies of major sport events. Finally a sensitivity analysis is used to determine critical variables.

Towards efficient inductive synthesis from input/output examples

1994

Global sensitivity analysis for urban water quality modelling: comparison of different methods

2012

Sensitivity analysis represents an important step in improving the understanding and use of environmental models. Indeed, by means of global sensitivity analysis (GSA), modellers may identify both important (factor prioritization) and non-influential (factor fixing) model input factors. However, despite the potentialities of GSA methods, only few applications have been published in the field of urban drainage modelling. In order to fill this gap this paper presents a comparison among three GSA methods (SRC, Extended-FAST and Morris screening) on an urban drainage storm-water model. In particular, an exhaustive discussion on their peculiarities, applicability, and reliability is presented. S…

A non-parametric Scale-based Corner Detector

2008

This paper introduces a new Harris-affine corner detector algorithm, that does not need parameters to locate corners in images, given an observation scale. Standard detectors require to fine tune the values of parameters which strictly depend on the particular input image. A quantitative comparison between our implementation and a standard Harris-affine implementation provides good results, showing that the proposed methodology is robust and accurate. The benchmark consists of public images used in literature for feature detection.

Neural networks as effective techniques in clinical management of patients: some case studies

2004

In this paper, we present four examples of effective implementation of neural systems in the daily clinical practice. There are two main goals in this work; the first one is to show that neural networks are especially well-suited tools for solving different kind of medical/pharmaceutical problems, given the complex input output relationships and the few a priori knowledge about data distribution and variable relations. The second goal is to develop specific software applications, which enclose complex mathematical models, to clinicians; thus, the use of such models as decision support systems is facilitated. Four important pharmaceutical problems are considered in this study: identificatio…

The Regionalization of National Input–Output Tables: A Review of the Performance of Two Key Non-survey Methods

2018

This chapter reviews the available empirical evidence on the performance of Flegg’s location quotient (FLQ) and Kronenberg’s Cross-Hauling Adjusted Regionalization Method (CHARM), a relatively new non-survey technique that accounts explicitly for cross-hauling when constructing regional input–output tables. The performance of the FLQ and related formulae is evaluated using official data for 20 Finnish and 16 South Korean regions. The results confirm previous findings that the FLQ can produce far more accurate estimates of regional output multipliers than can simpler LQ-based formulae such as the SLQ and CILQ. We also explore possible ways of determining suitable values for the unknown param…

Multiple Objective Analysis of Input-Output Models for Emergency Management

1990

This paper shows how a visual, interactive, dynamic multiple objective linear programming decision support system can effectively be used for analyzing input-output models. We have applied our approach to studying the quantitative effects of economic or political crises to the Finnish economy. Examples of such crises are nuclear power plant accidents, trade embargoes, and international conflicts. An input-output model of the Finnish economy with 17 industries (sectors) is employed. Our system has been implemented on a microcomputer and is being used by the National Board of Economic Defense. Several typical case situations are discussed.

Aggregation in Input–Output Tables: How to Select the Best Cluster Linkage

1991

In this paper we try to give a solution to the aggregation problem on working with Input–Output tables. First of all we verify the degree of similarity among the production functions of the industries which aggregate in each sector. Secondly, once we have established the aggregation by using different cluster analysis, we set a number of conditions required to choose the proper linkage method that allows us to characterize the process of aggregation (weighted or unweighted) of the input–output table.

Correction to: A new approach to modelling the input–output structure of regional economies using non‑survey methods

2021

Input-output feedback linearizing control of linear induction motor taking into consideration the end-effects. Part I: Theoretical analysis

2015

Abstract This first part of a paper, divided into two parts, deals with the theoretical formulation of the input–output feedback linearization (FL) control technique as to be applied to linear induction motors (LIMs). Linear induction motors, differently from rotating induction motors (RIMs), present other strong non-linearities caused by the so-called dynamic end effects, leading to a space-vector model with time-varying inductance and resistance terms and an additional braking force term. This paper, starting from a dynamic model of the LIM taking into consideration its dynamic end effects, previously developed by the same authors, defines a feedback linearization (FL) technique suited fo…