In order to monitor dam safety condition better, a Dynamic Bayesian Networks (DBN) model is developed to overcome the shortcomings of the ordinary monitoring methods in this paper. Ordinary methods include comprehensive assessment methods and numerical simulation methods. Comprehensive assessment methods have shortcomings such as weight determination, scale difference, variables correlation, et...

This article describes the process of improving risk management practices in a foundry of the ALFET Company (Algeria). The proposed methodology is based on the decision matrix risk assessment technique. This technique allows making a risk assessment for each source of risk (machine, man, environment, and management), which leads to the determination of the overall risk rate during the activity ...

Two general approaches to the visual control of action have emerged in last few decades, known as the on-line and model-based approaches. The key difference between them is whether action is controlled by current visual information or on the basis of an internal world model. In this paper, we evaluate three hypotheses: strong on-line control, strong model-based control, and a hybrid solution th...

in that belief to god is a contract and heart condition that took safety for the believer and on top of all minor beliefs has been human and is happinees; there is no say; but providing characteristics of belief and comprehensive definition for that for a discussion of the most basic issues of islamic theology and christian theology is need. among christian with existentialist  paul tillich wit...

Most of the existing action recognition methods represent actions as bags of space-time interest points. Specifically, space-time interest points are detected from the video and described using appearancebased descriptors. Each descriptor is then classified as a video-word and a histogram of these videowords is used for recognition. These methods therefore rely solely on the discriminative powe...

This paper explores the feasibility of applying support vector regression (SVR) kernel-based supervised learning method to develop hot mix asphalt (HMA) dynamic modulus (|E*|) predictive models. SVR-based prediction models were developed using the latest comprehensive |E*| database that is available to the researchers. The SVR model predictions were compared with the existing regression-based p...