We have developed a compact CMOS motiondetection circuit based on a direction-selective neuralnetwork architecture. The circuit consists of asynchronous current-mode digital subcircuits for edge detection and subthreshold analog subcircuits for motiondetection. SPICE and numerical simulations of the network show that the circuit can successfully extract edge lines from incident images and compu...

Several approaches for the diagnosis of faults in analog circuits have reasonably accuracy which comes at the cost of heavier processing requirements and lowered efficiencies. In this paper, we propose a time domain based technique for fault diagnosis using specifications extracted from the step response of a circuit. With the help of neural network we have to go for back propagation learning p...

This paper proposes a Hopfield-type spiking neural network with modulation of resting membrane potential, and reports retrieval data transition phenomena in its associative memory operation. Spiking neuron models express analog information by the timing of neuronal spike firing events. Since these models operate asynchronously, it is expected that the spiking network operates faster than the co...

Low-frequency double-resonance quartz crystal oscillator circuit was developed with active inductance aiming the quick start-up in the intermittent operation on the sensor circuit and DC isolation using a Q-MEMS sensing crystal HTS-206. Allan standard deviation indicated 5 × 10−12, showing short range stability of the sensor circuit sufficient for the ubiquitous environmental sensor network.

Connecting a passive electrical network to a structurally attached piezoelectric transducer is referred to as passive shunt damping. Current shunt circuit designs, e.g. a single mode L¡R network, typically require large inductance values of up to thousands of Henries. In practice, discrete inductors are limited in size to around 1 H: By placing an additional capacitance across the terminals of ...

Chua's circuit is a simple electronic network which exhibits a variety of bifurcation phenomena and attractors. The circuit consists of two capacitors, an inductor, a linear resistor, and a nonlinear resistor. This paper describes the design methodology for a robust practical op amp implementation of Chua's circuit. In addition, we present experimental results and SPICE simulations for a workin...

An X.25 virtual circuit is opened on demand when a datagram arrives at the network interface for transmission. A virtual circuit is closed after some period of inactivity (the length of the period depends on the cost associated with an open virtual circuit). A virtual circuit may also be closed if the interface runs out of virtual circuits. An algorithm for managing virtual circuits during peak...

Wave switching is a hybrid switching technique for high performance routers. It combines wormhole switching and circuit switching in the same router architecture. Wave switching achieves very high performance by exploiting communication locality. When two nodes are going to communicate frequently, a physical circuit is established between them. By combining circuit switching, pre-established ph...

-This paper describes a learning rule of neural networks via a simultaneous perturbation and an analog feedforward neural network circuit using the learning rule. The learning rule used here is a stochastic gradient-like algorithm via a simultaneous perturbation. The learning rule requires only forward operations o f the neural network. Therefore, it is suitable for hardware implementation. Fir...