Multi-physical Modeling and Adjusting for Ultrasonic Assisted Soft Abrasive Flow Processing

Neural Network Modeling of Abrasive Flow Machining

This paper discusses the preliminary development of a neural network-based process monitor and off-line controller for abrasive flow machining of automotive engine intake manifolds. The process is only observable indirectly, yet the time at which machining achieves the specified air flow rate must be estimated accurately. A neural network model is used to estimate when the process has achieved ...

Multi-Modal, Device-Assisted-Soft-Tissue- Mobilization in Physical Rehabilitation

Adaptive Nonlinear Modeling for Ultrasonic Signal Processing

The purpose of this presentation is to introduce to the NDE community an empirical modeling technique which has been under development during the past thirteen years and applied particularly to many problem areas in the last five. The application of interest to today's audience is that of classification of flaw geometry from ultrasonic signals. Disciplines Materials Science and Engineering | St...

tight frame approximation for multi-frames and super-frames

در این پایان نامه یک مولد برای چند قاب یا ابر قاب تولید شده تحت عمل نمایش یکانی تصویر برای گروه های شمارش پذیر گسسته بررسی خواهد شد. مثال هایی از این قاب ها چند قاب های گابور، ابرقاب های گابور و قاب هایی برای زیرفضاهای انتقال پایاست. نشان می دهیم که مولد چند قاب تنک نرمال شده (ابرقاب) یکتا وجود دارد به طوری که مینیمم فاصله را از ان دارد. همچنین مسایل مشابه برای قاب های دوگان مطرح شده و برخی ...

A Signal Pre-processing Algorithm Applied for Ultrasonic Flow-meter

In order to solve the problem of time difference ultrasonic flow meter’s low accuracy, against the basic characteristics of the sample data, a data-processing algorithm is proposed. First, we use shell sort do a data pre-processing to the samples, then remove the error of the sample space by complex digital filter, and use the error compensation algorithm to get the final sample results. Among ...