Due to the explosive growth of electronically stored information, automatic methods must be developed to aid users in maintaining and using this abundance of information effectively. In particular, the sheer volume of redundancy present must be dealt with, leaving only the information-rich data to be processed. This paper presents an approach, based on an integrated use of fuzzy-rough sets and ...

Image Compression addresses the problem of reducing the amount of data required to represent the digital image. Compression is achieved by the removal of one or more of three basic data redundancies known as coding redundancy, Inter pixel redundancy and psycho visual redundancy. Recent research in transformbased image compression has focused on the wavelet transform due to its superior performa...

Optimizations performed at link time or directly applied to nal program executables have received increased attention in recent years. This paper discuss the discovery and elimination of redundant load operations in the context of a link time optimizer, an optimization that we call Load Redundancy Elimination (LRE). Our experiments show that between 50% and 75% of a program's memory references ...

This article presents redundancy resolution and disturbance rejection via torque optimization in hybrid cable-driven robots (HCDRs). To begin with, we present a redundant HCDR for nonlinear whole-body system modeling model reduction. Based on the reduced dynamic model, two new methods are proposed to solve problem: 1) joint-space actuated joints (TOAJ) 2) unactuated (TOAUJ), they can be extende...

For targeted motion control tasks of manipulators, it is frequently necessary to make use full levels joint actuation guarantee successful planning and path tracking. Such way may keep the in a non-sparse manner during process. In order improve sparsity for manipulator systems, novel scheme which can optimally sparsely adopt proposed this brief. The strategy formulated as constrained <inline-fo...

High-dimensional intrusion detection data concentration information redundancy results in lower processing velocity of intrusion detection algorithm. Accordingly, the current study proposes an intrusion feature selection algorithm based on particle swarm optimization (PSO). Analyzing the features of the relevance between network intrusion data allows the PSO algorithm to optimally search in a f...

The use of redundant computational nodes is a widely used design tactic to improve the reliability of complex embedded systems. However, this redundancy allocation has also an effect on other quality attributes, including energy consumption, as each of the redundant computational nodes requires additional energy. As a result, the two quality objectives are conflicting. The approach presented in...

Discovering association rules between items in a large database of sales transactions has been described as an important database mining problem. Relationships between data are called associations. Association rule mining reveals such interesting relationships. These association rules are presented in a compact form, eliminating redundancy. Elimination of redundancy in the association rule set ...