The frequency weighting for assessing hand-transmitted vibration exposure is critical to obtaining a true dose-response relationship. Any valid weighting must have a solid theoretical foundation. The objectives of this study are to examine the biodynamic foundation for assessing the vibration exposure and to develop a set of biodynamic methods to formulate the frequency weightings for different...

a r t i c l e i n f o a b s t r a c t The method based on Bag-of-visual-Words (BoW) deriving from local keypoints has recently appeared promising for video annotation. Visual word weighting scheme has critical impact to the performance of BoW method. In this paper, we propose a new visual word weighting scheme which is referred as emerging patterns weighting (EP-weighting). The EP-weighting sch...

Text Categorization is the process of automatically assigning predefined categories to free text documents. Feature weighting, which calculates feature (term) values in documents, is one of important preprocessing techniques in text categorization. This paper is a comparative study of feature weighting methods in statistical learning of Thai Document Categorization Framework. Six methods were e...

Conventional approaches to the modeling of autonomous agents and agent communication rely heavily on the ascription of mental properties like beliefs and intentions to the individual agents. These “mentalistic” approaches are, when applicable, very powerful, but become problematic in open environments like the Semantic Web, Peer2Peer systems and open multiagent systems populated by truly autono...

in this paper, a formal model for antivirus update agent system is presented based on mobile agent technology and predicate/transition petri nets. the mobile agent system contains two mobile agents called dca and una. it sends out agents to update antivirus on client computers in a network. each agent takes on a specified responsibility. first, dca roams through the network and check the last d...

In this paper, a novel distributed agent-based dynamical system estimation strategy is proposed. Each agent has a local observation space and is interested in a specific set of system state elements. The agents have the ability of two-way communication with its neighbors (i.e., agents who share at least one state element). At a particular time instant, each agent predicts its state and makes in...

Optimizing weighting factors for a linear combination of terms in a scoring function is a crucial step for success in developing a threading algorithm. Usually weighting factors are optimized to yield the highest success rate on a training dataset, and the determined constant values for the weighting factors are used for any target sequence. Here we explore completely different approaches to ha...

This paper deals with robust synchronization of directed and undirected multi-agent networks with uncertain agent dynamics. Given a network with identical nominal dynamics, we allow uncertainty in the form of coprime factor perturbations of the transfer matrix of the agent dynamics. These perturbations are assumed to be stable and have H∞norm that is bounded by an a priori given desired toleran...

Weighting is the term most frequently used to describe magnetic resonance pulse sequences and the concept most commonly used to relate image contrast to differences in magnetic resonance tissue properties. It is generally used in a qualitative sense with the single tissue property thought to be most responsible for the contrast used to describe the weighting of the image as a whole. This articl...

One of the surprising findings from the study of CNF satisfiability in the 1990’s has been the success of iterative repair techniques, and in particular of weighted iterative repair. However, attempts to improve weighted iterative repair have either produced marginal benefits or rely on domain specific heuristics. This paper introduces a new extension of constraint weighting called Arc Weightin...