Abstract One of the most critical engineering problems that occur in foundations machines resting on soil is problem transmission vibration from machine to foundation and then soil. This leads increased stresses layers settlement as well. In this article, an experimental model a rotary located gypseous sandy (36% gypsum content) has been studied. The weight with was 26 kPa subjected 10 Hz frequ...

In order to effectively predict the dynamic displacement and disaster, according analysis of influencing parameters affecting deformation a subway foundation pit supported by piles (walls), rough set attribute reduction method (RSARM) average influence value algorithm (AIVA) are used simplify factors deformation. Those simplified taken as input ELM, with output being pit. Finally, IPM derived f...

Computer Assisted Language Learning Systems have gained a lot of attention in recent decades. Mispronunciation detection is probably the most important feature of these systems. It helps user to find out their pronunciation mistakes and provide useful feedback related to that mistake. Mispronunciation detection systems can be categorized in two classes; Posterior Probability based and Classifie...

Machine foundations are subjected to significant dynamic impacts. These impacts could spread the surrounding regions, affecting workers, sensitive equipment in same institution, or nearby areas. This study analyzes response of machine-supporting harmonic and explosive loads under operational conditions provides closed-form solutions for predicting responses terms displacement, velocity, acceler...

This paper describes an approach using wearables to demonstrate the viability of measuring physiometric arousal indicators such as heart rate in assessing how urban built environments can induce physiometric arousal indicators in a subject. In addition, a machine learning methodology is developed to classify sensor inputs based on annotated arousal output as a target. The results are then used ...

ÐThis paper examines and proposes an approach to writing software specifications, based on research in systems theory, cognitive psychology, and human-machine interaction. The goal is to provide specifications that support human problem solving and the tasks that humans must perform in software development and evolution. A type of specification, called intent specifications, is constructed upon...

Automatic Text categorization using machine learning methods like Support Vector Machines (SVM) have tremendous potential for effectively organizing electronic resources. Human categorization is very costly and time-consuming, thus limiting its application for large or rapidly changing collections. SVM is a comparatively new technique with a very solid mathematical foundation for solving a vari...

This paper describes the sixteen Duluth entries in the Senseval-2 comparative exercise among word sense disambiguation systems. There were eight pairs of Duluth systems entered in the Spanish and English lexical sample tasks. These are all based on standard machine learning algorithms that induce classifiers from sense-tagged training text where the context in which ambiguous words occur are re...

This paper describes the sixteen Duluth entries in the SENSEVAL-2 comparative exercise among word sense disambiguation systems. There were eight pairs of Duluth systems entered in the Spanish and English lexical sample tasks. These are all based on standard machine learning algorithms that induce classifiers from sense-tagged training text where the context in which ambiguous words occur are re...