Search results

The paper presents a new technique for the transient analysis and simulation of lossy coupled interconnects. The approach is based on identifying natural modes of oscillation unlike many other transmission‐line models which are based on travelling waves. The approach follows directly from that previously presented by the author (Wilcox and Condon 1997) for the simulation of a single‐phase coaxial power cable. The technique is readily applicable to modelling coupled interconnects and avoids the time‐consuming convolution of many existing transmission‐line modelling approaches.

The purpose of this paper is to apply a novel technique for the simulation of nonlinear systems subject to modulated chirp signals.

The simulation technique is first described and its salient features are presented. Two examples are given to confirm the merits of the method.

The results indicate that the method is appropriate for simulating nonlinear systems subject to modulated chirp signals. In particular, the efficiency and accuracy of the method is seen to improve as the chirp frequency increases. In addition, error bounds are given for the method.

Chirp signals are employed in several important applications such as representing biological signals and in spread spectrum communications. Analysis of systems involving such signals requires accurate, appropriate and effective simulation techniques.

The aim of this research is to develop greige (raw/non-bleached) cotton-containing nonwoven fabrics that likely would be competitive in quality, cost and performance to existing products that presently and predominantly use man-made fibers and some bleached cotton for wipes and other similar end-use nonwoven products. Since the whiteness and absorbency of these end-use products generally are the most desired and perhaps even critical attributes, the research was mainly focused on attaining these attributes by exploring various choices and optimum use of a variety of cost-effective cotton fibers and the blends thereof with other fibers. Nonwoven fabrics were produced, via a modern hydroentanglement system, with possible choices of using several types of cotton fibers, including the greige cotton lint and certain of its co-products such as gin motes and comber noils, and their various blends with polyester and nylon staple fibers. Bleached cotton was also used to produce an equivalent fabric for comparison. The research has shown that although the desired and perhaps critical properties of whiteness and absorbency of the selected fibers vary considerably among the various fabrics produced, the blends of greige cotton lint with man-made fibers can provide the fabric whiteness and absorbency comparable to those of say, a, bleached cotton fabric. The research results suggest that the greige cotton lint and/or its co-products in blend with polyester fiber may be sensible approaches to the development of functionally acceptable nonwoven wiping products that are also environment friendly.

Poverty is a powerful context that affects billions of consumers around the world. An appreciation of this context and the ways it shapes thoughts, feelings, and behaviors is essential to understanding the vulnerabilities of low socioeconomic status (SES) consumers. We synthesize research on consumption in poverty by reviewing some of the social vulnerabilities and frequent neglect, discrimination, and stigmatization encountered by low-SES consumers, as well as the cognitive challenges emerging from the experience of financial scarcity. These social, cognitive, and societal vulnerabilities highlight the importance of behaviorally informed programs and policies to address consumer vulnerability in contexts of poverty.

The paper proposes an efficient and insightful approach for solving neutral delay differential equations (NDDE) with high-frequency inputs. This paper aims to overcome the need to use a very small time step when high frequencies are present. High-frequency signals abound in communication circuits when modulated signals are involved.

The method involves an asymptotic expansion of the solution and each term in the expansion can be determined either from NDDE without oscillatory inputs or recursive equations. Such an approach leads to an efficient algorithm with a performance that improves as the input frequency increases.

An example shall indicate the salient features of the method. Its improved performance shall be shown when the input frequency increases. The example is chosen as it is similar to that in literature concerned with partial element equivalent circuit (PEEC) circuits (Bellen et al., 1999). Its structure shall also be shown to enable insights into the behaviour of the system governed by the differential equation.

The method is novel in its application to NDDE as arises in engineering applications such as those involving PEEC circuits. In addition, the focus of the method is on a technique suitable for high-frequency signals.

This paper aims to explore a new approach for time-domain modelling of interconnects with highly oscillatory modulated sources.

The paper uses an asymptotic method in conjunction with the Green’s function of the telegrapher’s equations. The Green’s function is expressed as a series of rational functions in the Laplace domain and are converted to pole-residue form, thereby enabling time-domain implementation.

The results indicate that the method is accurate for modelling interconnects when wide-varying frequencies are present in the sources.

The technique is important in circuit design for assessing signal integrity and in electromagnetic compatibility testing.

The paper is aimed at the development of novel model reduction techniques for nonlinear systems.

The analysis is based on the bilinear and polynomial representation of nonlinear systems and the exact solution of the bilinear system in terms of Volterra series. Two sets of Krylov subspaces are identified which capture the most essential part of the input‐output behaviour of the system.

The paper proposes two novel model‐reduction strategies for nonlinear systems. The first involves the development, in a novel manner compared with previous approaches, of a reduced‐order model from a bilinear representation of the system, while the second involves reducing a polynomial approximation using Krylov subspaces derived from a related bilinear representation. Both techniques are shown to be effective through the evidence of a standard test example.

The proposed methodology is applicable to so‐called weakly nonlinear systems, where both the bilinear and polynomial representations are valid.

The suggested methods lead to an improvement in the accuracy of nonlinear model reduction, which is of paramount importance for the efficient simulation of state‐of‐the‐art dynamical systems arising in all aspects of engineering.

The proposed novel approaches for model reduction are particularly beneficial for the design of controllers for nonlinear systems and for the design and analysis of radio‐frequency integrated circuits.

The purpose of this paper is to analyse a novel technique for an efficient numerical approximation of systems of highly oscillatory ordinary differential equations (ODEs) that arise in electronic systems subject to modulated signals.

The paper combines a Filon‐type method with waveform relaxation techniques for nonlinear systems of ODEs.

The analysis includes numerical examples to compare with traditional methods such as the trapezoidal rule and Runge‐Kutta methods. This comparison shows that the proposed approach can be very effective when dealing with systems of highly oscillatory differential equations.

The present paper constitutes a preliminary study of Filon‐type methods applied to highly oscillatory ODEs in the context of electronic systems, and it is a starting point for future research that will address more general cases.

The proposed method makes use of novel and recent techniques in the area of highly oscillatory problems, and it proves to be particularly useful in cases where standard methods become expensive to implement.

Literature and textbooks about intercultural communication and management often feature cultural differences rather than similarities. Japanese culture is frequently distinguished in business and management contexts from Western culture. This process arguably leads to an overemphasis of the uniqueness of Japanese culture. A review of relevant literature, however, reveals that the tendency to overemphasise the uniqueness of Japanese culture is one shared by both Western and Japanese scholars. This paper discusses how the discourse has emerged in business and intercultural literature by tracing the influence of historical and economic factors. It also explores the implications of describing Japanese business culture in relation to practices in the West for both managers and students internationally. International students of business, who are grappling with intercultural communication literature as it pertains to Japan and the West, need to engage in critical ways with the discourse adopted in the literature. The intention therefore of the paper is to illuminate how a “differences‐focused” approach in texts could promote a stereotypical and potentially facile view of Japanese culture rather than one that encourages a more meaningful and informed understanding that appreciates the context in which the uniqueness of Japanese culture has hitherto been presented.

The paper aims to propose several new approaches for the discrete‐time integration of stiff non‐linear differential equations.

The proposed approaches build on a method developed by the authors involving Padé approximates about each function sample. Both single‐ and multi‐step methods are suggested. The use of Richardson extrapolation is recommended for increasing efficiency.

The efficacy of the methods is shown using two examples and results are compared to a standard integration technique.

The paper shows that the methods are suitable for application in any field of science requiring efficient and accurate numerical solution of stiff differential equations.