In this paper, analysis, design and implementation of non-isolated soft-switching bidirectional DCDC converter with an active switch are described. The proposed topology gives the output voltage as twice as the input voltage and enhances the efficiency up to 94.5% and 92.9% for boost and buck mode operation by proper selection of the duty cycle. Soft switching can be achieved at both steps up a...

This paper presents a single-stage ZVT full-bridge AC/DC converter for aerospace applications. The detailed operating principle and design consideration of this soft-switched converter are analyzed and described. The proposed circuit topology and control scheme are proposed to exhibit optimum performances (i.e. high power factor, high efficiency, ring-free and low EMI features). A laboratory pr...

In this work, a novel hybrid cutting method combining non-progressive cutting with progressive cutting is proposed, where progressive cutting is applied on the outer hull while non-progressive cutting is applied in the inner core. Therefore it keeps the visual reality while significantly increases the efficiency and stability for consequent soft-tissue simulation. In addition, we combined the n...

Ranking interval-valued fuzzy soft sets is an increasingly important research issue in decision making, and provides support for makers order to select the optimal alternative under uncertain environment. Currently, there are three set-based decision-making algorithms literature. However, these not able overcome of comparable alternatives and, fact, might be ignored due lack a comprehensive pri...

In this paper, we study soft sets of the first and second Baire categories. The category are examined to be small from point view topology, while large. family in a topological space forms σ-ideal. This contributes development theory ideal topology. main properties these classes discussed. concepts points where or introduced. These types subclasses non-cluster cluster sets. Then, various result...

Mass-spring systems are of special interest for soft tissue modeling in surgical simulation due to their ease of implementation and real-time behavior. However, the parameter identification (masses, spring constants, mesh topology) still remains a challenge. In previous work, we proposed an approach based on the training of mass-spring systems according to known reference models. Our initial fo...

In surgical simulations, the two most popular approaches to model soft tissues are Finite Element Method (FEM) and Mass-Spring System (MSS). Main advantages of FEM are accuracy and realism. Furthermore, the model allows the direct integration of experimentally obtained biomechanical tissue parameters. However, computation times remain high, limiting real-time application of the method. In contr...

We investigate in this paper reverse engineering of gene regulatory networks from time-series microarray data. We apply dynamic Bayesian networks (DBNs) for modeling cell cycle regulations. In developing a network inference algorithm, we focus on soft solutions that can provide a posteriori probability (APP) of network topology. In particular, we propose a variational Bayesian structural expect...

The non-trivial topology of magnetic structures such as vortices and skyrmions is considered a key concept to explain the stability those structures. stability, dictated by topology, provides great potential for device applications. Although it very critical scientific technological issue, elusive experimentally study topology-dependent owing difficulties in establishing stably formed with diff...