Analog VLSI Implementation of Feed Forward Neural Network for Signal Processing

With the emergence of VLSI Technology in electronic industry, the numerous applications of integrated circuits in high-performance computing, consumer electronics, and telecommunications has been rising steadily, and at a very fast pace. Artificial intelligence is integral part of a neural network is based on mathematical equations and artificial neurons. The focus here is the implementation of the Neural Network Architecture (NNA) with on chip learning in analog VLSI for generic signal processing applications. The artificial neural network comprises of analog components like multipliers and adders along with the tan-sigmoid function generating circuit. The given architecture uses components such as Gilbert cell mixer (GCM), neuron activation function (NAF) to implement the functions an artificial neural network. With the balanced operation of the Gilbert cell clearer output is obtained by eliminating unwanted signals. The architecture is designed using 180nm CMOS/VLSI technology with Cadence virtuoso tool. DOI: 10.17762/ijritcc2321-8169.150517

Intelligent Integrated Management for Telecommunication Networks

As the size of communication networks keeps on growing, faster connections, cooperating technologies and the divergence of equipment and data communications, the management of the resulting networks gets additional important and time-critical. More advanced tools are needed to support this activity. In this article we describe the design and implementation of a management platform using Artificial Intelligent reasoning technique. For this goal we make use of an expert system. This study focuses on an intelligent framework and a language for formalizing knowledge management descriptions and combining them with existing OSI management model. We propose a new paradigm where the intelligent network management is integrated into the conceptual repository of management information called Managed Information Base (MIB). This paper outlines the development of an expert system prototype based in our propose GDMO+ standard and describes the most important facets, advantages and drawbacks that were found after prototyping our proposal

Factors shaping the evolution of electronic documentation systems

The main goal is to prepare the space station technical and managerial structure for likely changes in the creation, capture, transfer, and utilization of knowledge. By anticipating advances, the design of Space Station Project (SSP) information systems can be tailored to facilitate a progression of increasingly sophisticated strategies as the space station evolves. Future generations of advanced information systems will use increases in power to deliver environmentally meaningful, contextually targeted, interconnected data (knowledge). The concept of a Knowledge Base Management System is emerging when the problem is focused on how information systems can perform such a conversion of raw data. Such a system would include traditional management functions for large space databases. Added artificial intelligence features might encompass co-existing knowledge representation schemes; effective control structures for deductive, plausible, and inductive reasoning; means for knowledge acquisition, refinement, and validation; explanation facilities; and dynamic human intervention. The major areas covered include: alternative knowledge representation approaches; advanced user interface capabilities; computer-supported cooperative work; the evolution of information system hardware; standardization, compatibility, and connectivity; and organizational impacts of information intensive environments