Article history: Available online 6 November 2009

Thread-based concurrent languages currently do not provide much support to (a) avoid deadlocks, (b) treat competing threads in a fair way, and (c) allow branching depending on lock availability. This makes parallel programming di cult and error prone and thus reduces the programmer's productivity. In this paper we present a lock statement for fair atomic locking of several locks that supports (...

Classifications of several gesture types are very helpful in several applications. This paper tries to address fast classifications of hand gestures using DTW over multi-core simple processors. We presented a methodology to distribute templates over multi-cores and then allow parallel execution of the classification. The results were presented to voting algorithm in which the majority vote was ...

The deep metric learning (DML) objective is to learn a neural network that maps into an embedding space where similar data are near and dissimilar far. However, conventional proxy-based losses for DML have two problems: gradient problem application of the real-world dataset with multiple local centers. Additionally, performance metrics also some issues stability flexibility. This paper proposes...

The presented method describes reflection and transmission of electromagnetic waves at multiple closely stacked metal grids using multimodal S-parameter propagation. For that, the periodic surface admittance curve every layer was determined through a novel semianalytic approach that uses simple Fourier transformations instead solving an integral equation. modal components this were used to expr...

Background We aimed to identify the hierarchy of rates of decline in 16 physical functioning measures in U.S. and English samples, using a systematic and integrative coordinated data analysis approach. Methods The U.S. sample consisted of 13,612 Health and Retirement Study participants, and the English sample consisted of 5,301 English Longitudinal Study of Ageing participants. Functional los...