Search results for "output"

A Small Forward-Looking Macroeconomic Model for EMU

2001

In this paper we estimate a small forward-looking macroeconomic model for EMU which allows us to analyze the transmission mechanism of the monetary policy implemented by the European Central Bank through an interest rate rule that stabilizes inflation and output. The estimation of this model, which comprises forward-looking versions of the IS and the Phillips curves as well as the interest rate rule, is conducted by GMM using quarterly data from 1986 to 2000. We find that this simple model matches the dynamic properties of the output gap, inflation and the interest rate in EMU quite accurately. We also perform several exercises that show the response of output, inflation and interest rates …

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…

Input-Output Feedback Linearizing Control of Linear Induction Motor Taking into Consideration the End-Effects. Part II: Simulation and Experimental R…

2015

This is the second part of a paper, divided in two parts, dealing with the application of the input–output feedback linearization (FL) control technique to linear induction motors (LIMs). The first part has treated the theoretical formulation of the input–output feedback linearization control technique as to be applied to linear induction motors. This second part describes the set of tests, both in numerical simulations and experiments, performed to assess the validity of the control technique. In particular, it addresses the issues of the sensitivity of the FL control versus the LIM electrical parameters’ variations and the improvements achievable by considering the LIM dynamic end effects…

Parameter identification of linear induction motor model in extended range of operation by means of input-output data

2012

This paper proposes a technique for the off-line estimation of the electrical parameters of the equivalent circuit of linear induction machines (LIM), taking into consideration the end effects, and focuses on the application of an algorithm based on the minimization of a suitable cost function involving the differences of measured and computed by simulation inductor current components. This method exploits an entire start-up transient of the LIM to estimate all the 4 electrical parameters of the machine (Rs, L s, σ Ls, Tr). It proposes also a set of tests to be made to estimate the variation of the magnetic parameters of the LIM versus the magnetizing current as well as the magnetizing curv…

Improving Collective I/O Performance Using Non-volatile Memory Devices

2016

Collective I/O is a parallel I/O technique designed to deliver high performance data access to scientific applications running on high-end computing clusters. In collective I/O, write performance is highly dependent upon the storage system response time and limited by the slowest writer. The storage system response time in conjunction with the need for global synchronisation, required during every round of data exchange and write, severely impacts collective I/O performance. Future Exascale systems will have an increasing number of processor cores, while the number of storage servers will remain relatively small. Therefore, the storage system concurrency level will further increase, worseni…