Fujita, Krugman and Venables (FKV) develop a model in which international wage differentials encourage industrial mobility because the advantages provided by strong inputoutput linkages within high cost countries are offset by the benefits of locating in low wage economies. In this paper we argue that globalization has another important dimension. Shocks may originate in a single country but, w...

A signal processing system was designed to simulate hearing impairment for normal hearing listeners. Typical consequences of sensorineural hearing loss are an elevated threshold in quiet, abnormal growth of loudness ('recruitment') and reduced spectral and temporal resolution. However, the just noticable difference (jnd) in intensity is unaffected. Based on an aurally adequate time-frequency re...

It is well-known that the input-output behaviour of a neural network can be recast in terms of a set of propositional rules, and under certain weak preconditions this is also always possible with positive (or definite) rules. Furthermore, in this case there is in fact a unique minimal (technically, reduced) set of such rules which perfectly captures the inputoutput mapping. In this paper, we in...

In recent years there has been rising interest in the use of programming-by-example techniques to assist users in data manipulation tasks. Such techniques rely on an explicit inputoutput examples specification from the user to automatically synthesize programs. However, in a wide range of data extraction tasks it is easy for a human observer to predict the desired extraction by just observing t...

This paper describes an efficiency optimization control method for high performance interior permanent magnet synchronous motor drives with online estimation of motor parameters. The control system is based on an inputoutput feedback linearization method which provides high performance control and simultaneously ensures the minimization of the motor losses. The controllable electrical loss can ...

Reliable process models are extremely important in different fields of computer integrated manufacturing. They are required e.g. for selecting optimal parameters during process planning, for designing and implementing adaptive control systems or model based monitoring algorithms. Because of their model free estimation, uncertainty handling and learning abilities, artificial neural networks (ANN...

Artificial neural networks have been used to model developmental deficits in cognitive and language development, most often by including sub-optimal inputoutput representations or computational parameters in these learning systems. The next step is to simulate intervention to alleviate developmental impairments, to inform the mechanistic basis of remediation. Here we used a sample model of atyp...

W. Senn1;2, M. Jakob2, K. Wyler2, J. Kleinle2, H.-R. L uscher3, H. Mey2, L. M uller2 Abstract | Methods of fuzzy logic are commonly used to model a complex system by a set of rules provided by experts. But fuzzy methods can also be applied to the reverse problem: given the inputoutput behavior of a system, what are the rules which are governing that behavior. We introduce this reengineering m...

The complexity of a Boolean function can be expressed in terms of computational work. We present experimental data in support of the entropy definition of computational work based upon the Inputoutput description of a Boolean function. Our data show a linear relationship between the computational work and the average number of literals in a multi-level implementation. The Investigation includes...

HIS article presents preliminary revised estimates of the major aggregates and components of gross domestic product (GDP) within the national income and product accounts (NIPA’s) for 1997. These estimates reflect the newly available benchmark inputoutput (I-O) accounts for 1997, which were published in the December 2002 SURVEY OF CURRENT BUSINESS.1 This article also identifies some of the propo...