Florida Atlantic University

About: Florida Atlantic University is a education organization based out in Boca Raton, Florida, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 7788 authors who have published 19830 publications receiving 535694 citations. The organization is also known as: FAU & Florida Atlantic.

Workspace evaluation of Stewart platforms

Abstract: The workspace and the dexterity of a Stewart platform are affected by the choice of its major dimensions, actuator stroke and the kinematic constraints of its joints An investigation of the effects of these parameters on workspace volume of the platform is presented The obtained results were normalized so that they could be used as a design tool for the selection of dimensions, joints and actuators

Phase Transitions and Critical Fluctuations in Rhythmic Coordination of Ipsilateral Hand and Foot.

Abstract: Four subjects performed rhythmic movements of the ankle and the wrist in time with an auditory metronome, in two modes of coordination, antiphase and in-phase. The forearm was placed in either a prone or a supine position. When movements were prepared in the antiphase mode, spontaneous transitions to the in-phase mode, or to phase wandering were observed as metronome frequency was increased. When prepared in the in-phase mode, transitions between in-phase modes or to phase wandering were occasionally observed. Predicted signature features of nonequilbrium phase transitions were noted, including loss of stability and critical fluctuations. The stability of the movement patterns was determined by spatial (dependent upon the direction of movement) rather than anatomical (dependent on the coupling of specific muscle groups) constraints. The position of the forearm had no consistent bearing upon the variability of the phase relations between the limbs, the frequency of phase transitions, or the time of onset of transitions. These results are discussed with reference to the coordination dynamics (e.g., multistability, loss of stability) of multijoint movements.

Tree-based software quality estimation models for fault prediction

Abstract: Complex high-assurance software systems depend highly on reliability of their underlying software applications. Early identification of high-risk modules can assist in directing quality enhancement efforts to modules that are likely to have a high number of faults. Regression tree models are simple and effective as software quality prediction models, and timely predictions from such models can be used to achieve high software reliability. This paper presents a case study from our comprehensive evaluation (with several large case studies) of currently available regression tree algorithms for software fault prediction. These are, CART-LS (least squares), S-PLUS, and CART-LAD (least absolute deviation). The case study presented comprises of software design metrics collected from a large network telecommunications system consisting of almost 13 million lines of code. Tree models using design metrics are built to predict the number of faults in modules. The algorithms are also compared based on the structure and complexity of their tree models. Performance metrics, average absolute and average relative errors are used to evaluate fault prediction accuracy.