Over the last decades, probabilistic graphical models have become the method of choice for representing uncertainty in machine learning. They are used in many research areas such as computer vision, speech processing, time-series and sequential data modelling, cognitive science, bioinformatics, probabilistic robotics, signal processing, communications and error-correcting coding theory, and in ...

One of the new clinical techniques to assess the lower body parameters is the wearable ultrasonic sensors. The device which can measure the static and dynamic balance abilities in sport and clinical setting by the traveled signals of ultrasonic transmitter and receiver between two feet was developed and validated. The new device consisted of a pressure gauge and a digital centimeter indicator a...

This paper describes a 3-D imaging technique developed as an internal research project at Southwest Research Institute. The technique is based on an extension of structured light methods in which a projected pattern of parallel lines is rotated over the surface to be measured. A sequence of images is captured and the surface elevation at any location can then be determined from measurements of ...

Hybrid electric vehicles (HEV) enable higher fuel-efficiency compared to conventional vehicles. The main potential for fuel efficiency lies in the choice of torque split between the internal combustion engine and the electric motor and the gear shifting strategy. In the framework of a predictive control strategy, the vehicle velocity can be considered as another degree of freedom. To achieve mi...

background:   hallux valgus deformity is a common chronic problem in middle age and elderly. different surgical procedures have been introduced so far with their proposed indications for each. this study aimed to compare three   current procedures namely chevron osteotomy, scarf osteotomy and mcbride technique.     methods:   in this study, 44 patients were included from 2010 to 2013. all patie...

This paper presents a comparative study of two machine learning techniques for recognizing handwritten Arabic words, where hidden Markov models (HMMs) and dynamic Bayesian networks (DBNs) were evaluated. The work proposed is divided into three stages, namely preprocessing, feature extraction and classification. Preprocessing includes baseline estimation and normalization as well as segmentation...

There is growing interest in run-time detection as parallel and distributed systems grow larger and more complex. The work targets run-time analysis of complex, interactive scientific applications for purposes of attaining scalability improvements with respect to the amount and complexity of the data transmitted, transformed, and shared among different application components. Such improvements ...

With the development of optical coherence tomography, the application optical coherence elastography (OCE) has gained more and more attention in biomechanics for its unique features including micron-scale resolution, real-time processing, and non-invasive imaging. In this review, one group of OCE techniques, namely dynamic OCE, are introduced and discussed including external dynamic OCE mapping...