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The universal sensor interface chip (USIC) represents a complete signal processing capability for data acquisition systems designed to support a wide range of sensor applications. Offers high performance with flexibility and requires only a small number of external components for many applications.

To provide an overview of self‐validating sensor technology for researchers and engineers which can help them understand the concept and recent developments of this research area.

The concept of self‐validating (SEVA) sensors, including definition, output parameters and requirement of SEVA sensors are introduced. The differences between SEVA sensors and traditional sensors are given from which we can see many advantages of SEVA sensors. The principium of SEVA sensors is presented by the functional architecture. The research development of SEVA sensors is introduced in two aspects: research development of sensor fault diagnosis and signal reconstruction and research development of SEVA sensor hardware.

Summarizes the methods for sensor fault diagnosis and signal reconstruction in the research of SEVA sensors, and the development steps of SEVA sensor hardware. Indicates the shortages and problems of current research and gives our research and ideas to solve these problems.

This paper provides a detailed description and research information of self‐validating sensor technology for those who want to know and research on this area.

At every period of time marked by years, the seasons by turns and twists in history, among country folk especially, the years of great storms and hard winters; in law enforcement, the passing of some far‐reaching, profound statutory measure, there is this almost universal tendency to look back—over your shoulder‐assessing changes, progressive or otherwise, discerning trends and assaying prospects. We are about to emerge from the seventies—battered but unbowed!—into the new decade of the eighties, perhaps with a feeling that things can only get better.

Presents research into the improvement of flow‐line assembly systems. Aims to understand and improve the design and control of manually intensive flow‐line assembly in the clothing industry. A simulation model of the progressive bundle system has been constructed, incorporating operator performance variations and learning effects, machine failure and repair, operator absenteeism, quality failure and supervisory control. While the operator performance data and the stochastic variables are handled satisfactorily within the simulation, the problems of control are not handled well by conventional discrete event modelling techniques. Adopts a knowledge‐based approach to control in which an online computerized supervisor exercises control over the execution of the simulation run. Complex system models are not easy to validate and a four‐stage approach is used to demonstrate conformance with real‐world systems: qualification; face validity; modular validation; and time‐series system behaviour. Discusses applications of the model and the results of experiments with a line starting work on a new style.

The Albert R. Mann Library at Cornell University has created a working electronic library and has made significant changes in services and staff responsibilities to address users' evolving needs. This article presents an overview of these changes, after discussing the development of electronic libraries at Mann and elsewhere. The increased usage that Mann's collections have received as the electronic library has been developed is also described.

April 17, 1973 Industrial Relations — “Industrial dispute” — New definition not covering dispute between workmen and workmen — Lighterman deliberately allowing trade union membership to lapse — Union endorsing fellow workers' refusal to work with lapsed member — Employers warned of withdrawal of all labour if non‐unionist kept in employment — Employers acquiescing in union policy by sending non‐unionist off work on full pay — Whether warnings to employers “in contemplation or furtherance of an industrial dispute” where no dispute between employers and workers — Whether employers entitled to bring proceedings in tort in High Court if no industrial dispute giving immunity to alleged unlawful threats by union — Whether interlocutory injunction before trial of action appropriate on balance of convenience — Industrial Relations Act, 1971 (c.72), ss. 5(2), 33(3), 132(1), 167(1).

The paper discusses the design, implementation and validation of FLEAS, a flowline environment for automated supervision of clothing manufacturing systems. The paper argues for a mixed initiative approach to system control which incorporates both a scheduling component, based on local search, and a simulation component which dynamically tests the validity of the supervisory decisions made by the scheduler.

The brief announcement that the Government had accepted that there should be regulations on open date marking of food, to come into effect in 1975, will come as no surprise. It is a timely reminder of what public pressure can achieve these days; how sustained advocacy and publicity by interested sectors of society—magistrates, local authorities, public health workers, consumer groups—can secure legislative changes which, in this case, run counter to trade opinions and the recommendation originally made by the Food Standards Committee that such a proposal was not practical and the existing law was an adequate protection. This was stated in the FSC Report on Food Labelling of 1964, although there was no indication of the evidence reviewed or that the subject had been considered very deeply; it was, after all, only a small fraction of the problem of food labelling control. It was also stated in this Report that in certain cases, date‐stamping of food could give to purchasers a false sense of security, “not justified by the conditions under which the food has been kept since manufacture”.

Explains that the improvement of flowline assembly systems provides the context for this research: to understand and improve the design and control of manually‐intensive flowline assembly in the clothing industry. Constructs a simulation model of the progressive bundle system, incorporating operator performance variations and learning effects, machine failure and repair, operator absenteeism, quality failure and supervisory control. Notes that, while the operator performance data and the stochastic variables are handled satisfactorily within the simulation, the problems of control are not handled well by conventional discrete event modelling techniques. Adopts a knowledge‐based approach to control, in which an online computerized supervisor exercises control over the execution of the simulation run. As complex system models are not easy to validate, uses a four‐stage approach to demonstrate conformance with real‐world systems: qualification, face validity, modular validation and time‐series system behaviour. Discusses applications of the model and the results of experiments with a line starting work on a new style.

A three‐dimensional, two‐phase computational model for simulating boiling‐enhanced mixed convection in free‐surface flows is presented. The associated constitutive models for the thermophysical and transport properties are described. A computational model incorporating the discrete‐element analysis was used to simulate the multi‐dimensional, two‐phase flow around a heated chip in a test tank filled with Freon‐(R113). Two and three‐dimensional simulations of both natural convection and nucleate boiling heat transfer regimes are presented. The velocity field, the temperature distribution, and the vapour concentration profiles are evaluated and discussed. The simulated heat fluxes are compared with the available experimental data. While the heat fluxes from the two‐dimensional simulation agree with the fluxes calculated for the three‐dimensional case, the flow in the tank is essentially three‐dimensional. The results show that there are secondary flows which cannot be captured by a two‐dimensional model. The heat flux in the boiling heat transfer regime is only about ten times larger than that in the natural convection regime due to the small vapour concentration in tank.