This paper provides an investigation of power distribution network (PDN) performance by a full-wave prediction tool and by experimental measurements. A set of six real boards characterized by increasing complexity is considered in order to establish a solid base for behaviour understanding of printed circuit boards. How the growing complexity impacts on the board performance is investigated by ...

With the growth in data traffic, modern MAN networks are moving away from traditional circuit-switched networking technologies towards high-speed packet-switched networking technologies, which support best data traffic, offering high flexibility, cost-effective and easy-installation solution. Circuit emulation service (CES) is introduced in packet-switched networks in order for them to support ...

Dynamic Circuit Networks [1] is used to create dynamic circuits of desired bandwidth between two end points. This virtual circuit can be created for a short duration from any start time to end time. This virtual circuit is more reliable and flexible interns of bandwidth specification between a source node and destination node in the network. Scientific applications such as Large Hadron Collider...

An analog MOS circuit is proposed for implementing a Lotka–Volterra (LV) competitive neural network which produces winners-shareall solutions. The solutions give multiple winners receiving large inputs and are particularly useful for selecting a set of inputs through ‘‘decision by majority’’. We show that the LV network can easily be implemented using subthreshold MOS transistors. Results of ex...

To extract the immunity model in an easy way and to complete the immunity simulation in a short time, it is preferred to consider only the disturbance propagation network in an integrated circuit system. However, through theoretical analyses, simulations and measurements, this paper shows that the on-chip transistor circuit has a nonuniform frequency response on its immunity against arrival dis...

implementations utilize a CMOS inverter to obtain a sigmoid response, making the output wave form process sensitive, i.e. making it unpredictable from one integrated circuit to another [5]. predictable output independent of process parameters and thermal effects . Other strengths in this design are its speed and the fact that each weight is fully programmable with up to eight bits of resolution...

A hybrid neural network implemented in VLSI hardware for real-life applications is presented. This is achieved by using the simple circuits in electronic industry. This network contains both RBF and MLP structures in one single network and it can be used in many application areas, such as pattern recognition, character recognition, classification problems, signal processing, medical diagnosis, ...

This work presents a Neuro-Fuzzy network implemented in 0.8μm CMOS analog technology. The architecture and the circuit configurations adopted are discussed. The circuit has been designed taking into account mismatch effects and Spectre simulations have been reported. An integrated circuit has been realized and is now under test. Key-Words: Neuro-Fuzzy, Analog, Mixed Signal, VLSI, Embedded Appli...