In this paper, we prove that the standard adaptive finite element method with a (modified) maximum marking strategy is instance optimal for the total error, being the square root of the squared energy error plus the squared oscillation. This result will be derived in the model setting of Poisson’s equation on a polygon, linear finite elements, and conforming triangulations created by newest ver...

In large vocabulary continuous speech recognition, huge search space results in vast computational cost. While most pruning search strategies can reduce the computation, but the recognition rate often decreases. This paper aims to reduce the computation time without any sacrifice of the recognition rate. By means of the adaptive control theory, a novel pruning method is presented. It can automa...

In this paper, we present a load-balancing strategy (Adaptive Load Balancing strategy) for data parallel applications to balance the work load effectively on a distributed system. We study its impact on computation-hungry matrix multiplication application. The ALB strategy enhances the performance with features such as intelligent node selection, pre-task assignment, adaptive task sizing and bu...

Multiple features fusion based tracking is one of the most active research in tracking literature, In this paper, a novel adaptive fusion strategy is proposed for multiple features fusion, based on two common used fusion rules: product rule and weighted sum rule. This strategy employs particle filtering technique, product rule and weighted sum rule are unified into an adaptive framework through...

We study evolutionary prisoner's dilemma game by considering adaptive strategy-selection time scale among individuals according to a "win-slower, lose-faster" rule: if an individual successfully resists the invasion of an opponent, she is prone to hold her strategy for longer time through decreasing her strategy-selection time scale; otherwise, she increases the time scale because of losing. We...

In this paper we run two important methods for solving some well-known problems and make a comparison on their performance and efficiency in solving nonlinear systems of equations‎. ‎One of these methods is a non-monotone adaptive trust region strategy and another one is a scaled trust region approach‎. ‎Each of methods showed fast convergence in special problems and slow convergence in other o...

This paper presents a hierarchical control strategy for heat and electric power control of a building integrating hybrid renewable power sources including photovoltaic, fuel cell and battery energy storage with Plug-in Electric Vehicles (PEV) in smart distribution systems. Because of the controllability of fuel cell power, this power sources plays the main role for providing heat and electric p...

In this paper, we investigated the effects of the friction condition on walking pattern and energy efficiency, and based on the results, we proposed two new “slip-adaptive” strategies for generating a slip-adaptive walk. The first strategy for a slip-adaptive walk uses a slip reflex via a Central Pattern Generator (CPG) to change the walking pattern. The second strategy for a walk uses a force ...

This paper investigates the advantages of adaptive waveform amplitude design for estimating parameters of an unknown channel/medium under average energy constraints. We present a statistical framework for sequential design (e.g., design of waveforms in adaptive sensing) of experiments that improves parameter estimation (e.g., unknown channel parameters) performance in terms of reduction in mean...

This paper describes a parallel adaptive strategy based on discontinuous hp-finite element approximations oflinear, scalar, hyperbolic conservation laws. The paper focuses on the development of an effective parallel adaptive strategy for such problems, Numerical experiments suggest that these techniques arc highly parallelizablc a.nd deliver super-linear rates of convergence, thereby yielding e...