A fully soft-switched extended-period quasi-resonantpower-factor-correction circuit

This paper presents the design criteria, procedure, and implementation of a soft-switched power-factor-correction (PFC) circuit based on the extended-period quasi-resonant (EPQR) principles. All power electronic devices including switches and diodes in the circuit are fully soft switched. The design method is demonstrated in a prototype circuit. The operating principles are confirmed with computer simulation and experimental results. A comparison of the EP-QR operation and zero-voltage-transition (ZVT) pulse-width modulation (PWM) method     

Mixed Analog Digital Simulation of Integrated Circuits with BRASIL

In this paper the approach of BRASIL in modelling digitalintegrated circuits is presented. BRASIL consists of a timingsimulator for digital MOS circuits coupled with an algorithmfor circuit simulation. The timing simulation is based upon afast macromodelling approach and the calculation of time-variantRC networks. The circuit simulator takes advantage of structuringthe system of nodal equations. With BRASIL a fast and accuratesimulation of digital circuits, with special regard to the analogbehaviour of highly integrated systems is possible.     

The strategy of edge wear prediction in CIM concept

A monitoring of tool wear in different cutting operations has been studied for many years. Special techniques have been used to detect a wear status basing upon cutting forces, acoustic emission, temperature, torque and power, vibration, noise and acceleration sensors. The adapting of a proper prediction method allows to solve problems of an automatic supervision in Computer Integrated Manufacturing systems. A task of the abrasive edge wear index prediction can be formulated as follows: disposing by the data collection of the edge wear status in a time period preceding the concerning the wear status in the successive time period embraced by the prediction method.     

Σ-ΔA/D转换技术及仿真

Σ－ΔＡ／Ｄ转换技术近年来颇受重视，因为基于该技术的Ａ／Ｄ转换器能达到很高的分辨率（１６ｂｉｔ以上），并另具一系列优点。本文对Σ－ΔＡ／Ｄ转换器的基本原理，包括过采样（Ｏｖｅｒｓａｍｐｌｉｎｇ），噪声成形（ＮｏｉｓｅＳｈａｐｉｎｇ），以及数字抽取滤波（ＤｉｇｉｔａｌＤｅｃｉｍａｔｉｏｎＦｉｌｔｅｒｉｎｇ）等内容，均作了叙述。作者还对一个２０ｂｉｔΣ－Δ转换器的算法进行了计算机仿真。该转换器采用了高阶ＭＡＳＨ噪声成形技术，而其数字抽取滤波部分则由梳状滤波器与级联的半带滤波器构成。文章中给出了仿真结果。     

A closed form theory for calibrating a dual six-port networkanalyzer

The application of a general self-calibration procedure, the so-called TNA (through, network, attenuator) method, to a dual six-port network analyzer is presented for the first time. This innovation results from strictly separating the establishment of the complex measurement ability and the determination of the analyzers system error parameters. As will be seen, the well-known TRL (through, reflect, line) method is a special case of the general TNA technique     

Evaluation of the tensile and fatigue behaviourof a powder metallurgy beryllium/aluminium alloy

The tensile and fatigue behaviour of a powder metallurgy beryllium/aluminium alloy produced by Brush Wellman (Albemet 562) is determined as a function of temperature. The material is shown to have very high stiffness/density compared with common structural materials and moderate strength up to 232°C. The mechanical properties of the material do not vary significantly as a function of orientation for the extruded plate evaluated in this study. The stiffness of the material can be readily explained using standard composite theory, where the material is treated as a beryllium particle-reinforced aluminium matrix composite. To explain the observed strength levels, a combination of microstructural-based dislocation strengthening mechanisms is proposed to act in combination with continuum mechanics strengthening based on load transfer. Failure analysis reveals that the aluminium regions of the material fail in a ductile dimple fashion, while the beryllium regions exhibit a more brittle cleavage type failure. Fatigue failure was found to initiate at inclusions present in the material, but is still very high relative to conventional aluminium alloys. This revised version was published online in November 2006 with corrections to the Cover Date.     

Application of neural networks and machine learning in networkdesign

Communication network design is becoming increasingly complex, involving making networks more usable, affordable, and reliable. To help with this, we have proposed an expert network designer (END) for configuring, modeling, simulating, and evaluating large structured computer networks, employing artificial intelligence, knowledge representation, and network simulation tools. We present a neural network/knowledge acquisition machine-learning approach to improve the END's efficiency in solving the network design problem and to extend its scope to acquire new networking technologies, learn new network design techniques, and update the specifications of existing technologies     

Densification involved in the UV-based photosensitivity of silicaglasses and optical fibers

A comprehensive survey of photosensitivity in silica glasses and optical fiber is reviewed. Recent work on understanding the mechanisms contributing to germanium or aluminum doped fiber photosensitivity is discussed within the framework of photoelastic densification models