For random high density distribution in wireless sensor networks in this article have serious redundancy problems. In order to maximize the cost savings network resources for wireless sensor networks, extend the life network, this paper proposed a algorithm for the minimal k-covering set based on particle swarm optimizer. Firstly, the network monitoring area is divided into a number of grid poi...

Redundant manipulators have potential advantages of using their degree(s) of redundancy to satisfy additional task(s). To achieve desirable performance criteria, various optimization techniques can be applied to redundant manipulators. In the work presented, the redundancy resolution of planar wire-actuated parallel manipulators is investigated at the kinematic and dynamic levels in order to pe...

The resources especially energy in wireless sensor networks (WSN) are quite limited. Since sensor nodes are usually much dense, data sampled by sensor nodes have much redundancy, data aggregation becomes an effective method to eliminate redundancy, minimize the number of transmission, and then to save energy. Energy consumption is the most important factor to determine the life of a sensor netw...

Partial redundancy elimination can reduce the number of loads corresponding to field and array accesses in Java programs. The reuse of values loaded from memory at subsequent occurrences of load expressions must be done with care: Precise exceptions and the potential of side effects through method invocations and concurrent modifications in multi-threaded programs must be considered. This work ...

Dealing with the shear size and complexity of today’s massive data sets requires computational platforms that can analyze data in a parallelized and distributed fashion. A major bottleneck that arises in such modern distributed computing environments is that some of the worker nodes may run slow. These nodes a.k.a. stragglers can significantly slow down computation as the slowest node may dicta...

Mobile robots that consist of a mobile platform with one or many manipulators mounted on it are of great interest in a number of applications. Combination of platform and manipulator causes robot operates in extended work space. The analysis of these systems includes kinematics redundancy that makes more complicated problem. However, it gives more feasibility to robotic systems because of the e...

Introduction: Muscles crossing a joint usually outnumber its degrees of freedom, making it impossible to evaluate their forces unambiguously. This redundancy is typically handled by assuming that loads are shared between muscles according to an optimization law, which leads to constrained minimization of an objective function [3]. It is not clear, however, how to express such function in terms ...

Partial redundancy elimination (PRE) is a key technology for modern compilers. However traditional approaches are conservative and fail to exploit many opportunities for optimization. New PRE approaches which greatly increase the number of eliminated redundancies have been developed. However, they either cause the code size to explode or they cannot handle statements with side-effects. In this ...

Particle swarm optimization (PSO) and simplified (SSO) are two of the state-of-the-art intelligence technique that is widely utilized for purposes. This paper describes a particle-based (PSSO) procedure which combines update mechanisms (UMs) PSO SSO to determine optimal system reliability reliability-redundancy allocation problems (RRAPs) with cold-standby strategy while aimed at maximizing rel...