Estimation of Dynamic Errors in Laser Optoelectronic Dimension Gauges for Geometric Measurement of Details

The article reviews the capabilities and particularities of the approach to the improvement of metrological characteristics of fiber-optic pressure sensors (FOPS) based on estimation estimation of dynamic errors in laser optoelectronic dimension gauges for geometric measurement of details. It is shown that the proposed criteria render new methods for conjugation of optoelectronic converters in the dimension gauge for geometric measurements in order to reduce the speed and volume requirements for the Random Access Memory (RAM) of the video controller which process the signal. It is found that the lower relative error, the higher the interrogetion speed of the CCD array. It is shown that thus, the maximum achievable dynamic accuracy characteristics of the optoelectronic gauge are determined by the following conditions: the parameter stability of the electronic circuits in the CCD array and the microprocessor calculator; linearity of characteristics; error dynamics and noise in all electronic circuits of the CCD array and microprocessor calculator.

The semiotic abstraction

When we press the “A” key on our computer keyboard, an “a” appears on our screen almost simultaneously. In between those two points there are a number of layers of computer program which communicate with each other: the keyboard controller sends a message to the operating system which is interpreted by a word processor, which then returns a message to the operating system, which communicates with the video controller and the video board sends a message that it needs an “a” and this is mapped as a group of pixels which light up on the screen. Except that none of this actually happens. At the level of physical reality, all that happens is the shifting of magnetic fields and the passing of electrons. The electrons orbiting atoms slide from one atom to the next along wires, among silicon and metal. Entities like computer programs and operating systems are

A Cognitive Engineering Design of a Smart Phone Information Appliance with Improved Usability

This paper focuses on a cognitive engineering design for a smart phone application with improved usability at a software-level update of an information appliance (digital video remote controller). The design process is based on the Norman's cognitive engineering framework that can be used to detect human-interface problems with the existing controller through a usability assessment. The process includes considering a menu structure and error location in a more detailed-level analysis, and proposes an improved design for the smart phone application that emulates a video controller. The resultant system is tested to show how much the usability has been enhanced. The proposed method indicates that smart-phone applications can be regarded as useful alternatives to improve the information appliances, yielding a typical case study toward the next generation cognitive computing systems.