In this paper we investigate SET devices from the logic design perspective, using the SET tunnel junction’s ability to control the transport of individual electrons. We introduce a modified turnstile circuit with clock and enable control signals, which has built-in memory and reset functionality. Using the modified turnstile circuit as a building block, we propose a scheme for an n-input digita...

The 1-D Teager algorithm can be used to perform mean weighted highpass filtering with relatively few operations. We propose a generalization of the Teager algorithm. The modified algorithm allows us to adjust the dependence of the highpass output on the local mean. The derivation and interpretation of the modified algorithm is presented. Finally, the response of several implementations to a tes...

in this paper, a new smooth second order sliding mode control is proposed. this algorithm is a modified form of super twisting algorithm. the super twisting guarantees the asymptotic stability, but the finite time stability of proposed method is proved with introducing a new particular lyapunov function. the proposed algorithm which is able to control nonlinear systems with matched structured u...

The paper investigates a new type of truly critical echo state networks where individual transfer functions for every neuron can be modified to anticipate the expected next input. Deviations from expected input are only forgotten very slowly in power law fashion. The paper outlines the theory, numerically analyzes a one neuron model network and finally discusses technical and also biological im...

This paperpnsenb a radical-partitioned neural network system using a modified Sigmoid fvnction and a weight-dotted radical selector f o r large-volume Chinese characters recognition VLSI. Wiih a modified Sigmoid function and the weight-dotted radical selector, the recognition rate of 1000 radical-partitioned Chinese characters can be enhanced to 90% from 70% for the input samples with 15% rando...

An effective neural network algorithm of the perceptron type is proposed. The algorithm allows us to identify strongly distorted input vector reliably. It is shown that its reliability and processing speed are orders of magnitude higher than that of full connected neural networks. The processing speed of our algorithm exceeds the one of the stack fast-access retrieval algorithm that is modified...

and brought together over 450 scientists, policy makers, research managers, indigenous peoples, and others interested in and concerned about the future of arctic research. Through plenary sessions, breakout sessions and informal discussions, conference participants addressed long-term research planning challenges documented in twelve draft research plans. Following the conference drafting group...

Received Sep 25, 2016 Revised Dec 01, 2016 Accepted Dec 11, 2016 Power electronic interface has reached a new level in the area of hybrid energy integration nowadays. The existence for the concept of hybrid energy integration is truly questionable without a proper power electronic interface. In this paper, a modified dual input DC-DC converter which is capable of incorporating two distinct V-I ...

This work introduces a modified Grid Based Fuzzy System architecture, which is especially suited for the problem of time series prediction. This new architecture overcomes the problem inherent to all grid-based fuzzy systems when dealing with high dimensional input data. This new architecture together with the proposed algorithm allows the possibility of incorporating a higher number of input v...

State estimation problems for linear time-invariant systems with noisy inputs and outputs are considered. An efficient recursive algorithm for the smoothing problem is presented. The equivalence between the optimal filter and an appropriately modified Kalman filter is established. The optimal estimate of the input signal is derived from the optimal state estimate. The result shows that the nois...