Semi-supervised learning and active learning are important techniques to solve the shortage of labeled examples. In this paper, a novel active learning algorithm combining semi-supervised Learning with Local and Global Consistency (LLGC) is proposed. It selects the example that can minimize the estimated expected classification risk for labeling. Then, a better classifier can be trained with la...

This article presents a virtual prototyping study of a semi-active lower limb prosthesis to improve the functionality of an amputee during prosthesis-environment interaction for level ground walking. Articulated ankle-foot prosthesis and a single-axis semi-active prosthetic knee with active and passive operating modes were considered. Data for level ground walking were collected using a photogr...

The paper treats the semi active isolation of a single equipment, acceleration sensitive, by means of a variable elastic control device. A numerical study on a single degree of freedom (SDOF) structural model equipped with a continuously variable elastic device subjected to harmonic input is presented. The utilized control algorithm is derived by the Lyapunov method and specialized in order to ...

Application of Magneto-Rheological (MR) dampers in semi-active vibration dynamics control of a multi-cart system is studied. The dynamics and vibration behaviour of a two cart system is investigated mathematically and an experimental test-rig is employed to verify the model, experimentally. The Bouc-Wen model is utilized to represent the mathematical behaviour of MR damper. Different types of s...

In this paper, we describe active and semi-supervised learning methods for reducing the labeling effort for spoken language understanding. In a goal-oriented call routing system, understanding the intent of the user can be framed as a classification problem. State of the art statistical classification systems are trained using a large number of human-labeled utterances, preparation of which is ...