In order to solve the problems caused by large dataset, such as the network scale and the training time, a new method of analog circuit fault diagnosis based on distributed neural network is presented in this paper. The model of distributed neural network is simply introduced. The arithmetic mechanism is depicted in detail and the arithmetic description is given. Simulation results show that th...

We propose a novel dynamic hierarchical optical path network architecture that achieves efficient optical fast circuit switching. In order to complete wavelength path setup/teardown efficiently, the proposed network adaptively manages waveband paths and bundles of optical paths, which provide virtual mesh connectivity between node pairs for wavelength paths. Numerical experiments show that oper...

A Radial Basis Function Network (RBFN) classifier for hard fault location in CMOS analogue circuit is presented. The network is trained by means of a fault dictionary containing the faulty circuit response, which is obtained by simulating the supply current dynamic response.

We built and evaluated a hybrid electrical-packet/optical-circuit network for datacenters using a 10 μs optical circuit switch using wavelength-selective switches based on binary MEMs. This network has the potential to support large-scale, dynamic datacenter workloads. © 2013 Optical Society of America OCIS codes: 060.4250, 060.4253,060.6718.

We extend a static mixed integer disjunctive (MID) transmission expansion planning model so as to deal with circuit contingency criterion. The model simultaneously represents the network constraints for base case and each selected circuit contingency. The MID approach allows a commercial optimization solver to achieve and prove solution optimality. The proposed approach is applied to a regional...

This paper presents functional tests results of CMOS VLSI ASIC integrated circuit, which implements a network of synchronised oscillators. The network chip architecture was briefly described. This circuit was designed for segmentation of binary images, which is an important issue in biomedical image analysis. The hardware realisation of oscillator network provides much faster image segmentation...

A prototype network-centric circuit design tool and design knowledge repository has been developed. It allows a designer with network access to interactively explore a circuit design space of pre-characterized circuit topologies using a convenient graphical user interface. Any user can extend the system to include new or custom circuit topologies without a lot of programming effort by writing t...

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 Artificial Neural Network Architecture (ANN) with on chip learning in analog VLSI for pattern recognition. It is a maximum likelohood classifier which can be implemented using VLSI. Modified Hamming neural network architecture is pre...

This article presents a novel current-mode universal biquadratic network providing both standard transfer functions. The principal element of proposed network is CCCCTAs. The feature of this network is that the pole frequency quality factor can be orthogonally adjusted via input bias currents. Besides performing as a universal filter, with an appropriate condition, the proposed network can func...

The Tor network is probably one of the most popular online anonymity systems in the world. It has been built based on the volunteer relays from all around the world. It has a strong scientific basis which is structured very well to work in low latency mode that makes it suitable for tasks such as web browsing. Despite the advantages, the low latency also makes Tor insecure against timing and tr...