In this paper, we propose a novel algorithm to enhance the noisy speech in the framework of dual-channel speech enhancement. The new method is a hybrid optimization algorithm, which employs the  combination of  the  conventional θ-PSO and the shuffled sub-swarms particle optimization (SSPSO) technique. It is known that the θ-PSO algorithm has better optimization performance than standard PSO al...

We consider a family of damped quasi-Newton methods for solving unconstrained optimization problems. This family resembles that of Broyden with line searches, except that the change in gradients is replaced by a certain hybrid vector before updating the current Hessian approximation. This damped technique modifies the Hessian approximations so that they are maintained sufficiently positive defi...

Time-State Control Form was proposed as one of the control method for nonholonomic systems. But this method needs input switching, so there is a drawback that the switching conditions may spoil the stability of the system. From the above backgrounds, this research considers the property of the control method based on Time-State Control Form from the viewpoint of hybrid systems. Then, we derive ...

Abstract—In this paper, a fast integral equation method is developed for extracting the inductances in RF ICs, RF MEMs, IC packages, and deep submicron ICs etc. This method combines a recently developed Multilevel Green’s Function Interpolation Method (MLGFIM) [1, 2] with the volume integral equation discretized using Volume Loop (VL) basis functions. In it, instead of using the filaments model...

We propose a proximal augmented Lagrangian method and a hybrid method, i.e., employing the proximal augmented Lagrangian method to generate a good initial point and then employing the Newton-CG augmented Lagrangian method to get a highly accurate solution, to solve large-scale nonlinear semidefinite programming problems whose objective functions are a sum of a convex quadratic function and a lo...

In this paper we define a many-valued semantics for hybrid logic and we give a sound and complete tableau system which is prooftheoretically well-behaved, in particular, it gives rise to a decision procedure for the logic. This shows that many-valued hybrid logics is a natural enterprise and opens up the way for future applications.

A Hybrid Monte Carlo method (HMC) method is proposed in this article for estimating the system reliability of a stochastic network without needing to know all of the minimal pathsets/cutsets (MPs/MCs) in advance. The analysis indicates that the proposed method is efficient when compared to the crude Monte Carlo method (CMC).