Learn More
The relevant literature on machining operations selection in Computer-Aided Process Planning (CAPP) by decision trees, expert systems and neural networks has been reviewed, highlighting their contributions and shortcomings. This paper aims at contributing to the applicability of back-propagation neural network method for the selection of all possible(More)
The research work reported in this paper is aimed at developing an integrated and intelligent CAPP methodology for machined rotationally symmetrical parts. Two important aspects of process planning, namely the machining operations selection and the setup planning have been automated by this methodology. In addition, a methodology has been developed to(More)
Computation of load flows is the most fundamental power system operation and planning problem. In large power system, nodal voltage method of network solution using admittance matrix is preferred. In order to study its parallel algorithms, which improve operation efficiency, enhancement of real-time control and timely decision support, an improved load flow(More)
With growing demands to minimize the requirement for manual intervention and improve the productivity and ensure high product quality, automated inspection has become indispensable to manufacturing facilities. The methodology described in this paper is an attempt for automating inspection in manufacturing by use of machine vision system. This is achieved by(More)
  • S. Deb
  • 2012
This paper proposes the design of a novel comparator which uses a Time Division De-multiplexing (TDD) unit for binary comparison. The function of the TDD unit is to generate clock pulses in such a pattern that they can be used to trigger one of the two D flip-flops in the proposed comparator architecture, depending on - which of the two numbers being(More)
  • 1