The winners, as well the organizers and sponsors of IEEE Low-Power Computer Vision Challenge, share their insights into making computer vision (CV) more efficient for running on mobile or embedded systems. As CV (and generally, artificial intelligence) is deployed widely Internet Things, efficiency will become increasingly important.

Systems of computers and their application in the lives of modern human beings are vastly expanding. In any kind of computer application, failure in computer systems can lead to a range of financial and mortal losses. Indeed, the major origin of software failure can be located in designing or implementing software. With regard to these statistics, 30% of the software projects have been prospero...

at present, the tubular structural systems are mainly used in tall buildings to withstand earthquake loads. although it is possible to analyse the structure by finite element methods using standard three dimensional programs, the system is generally time-consuming and expensive in the primary design work. in this paper, for the analysis of framed-tube systems, a simple method was studied and de...

technology advancement improves the way we interact with computer systems. keyboard, mouse, and touchpad provide an easier and more natural way of interaction with a computer system. nowadays, by introducing low cost and high performance depth cameras like kinect and xtion, new opportunities are available for creating even more natural interfaces. in this paper, a new model was demonstrated for...

This article is a brief exposure of the process approach to a newly emerging area called "discrete event systems" in control theory and summarizes some of the recent developments in this area. Discrete event systems is an area of research that is developing within the interstices of computer, control and communication sciences. The basic direction of research addresses issues in the analysis an...

In this paper, we propose a nonlinear dynamics-based framework for modeling and analyzing computer systems. Working with this framework, we use a custom measurement infrastructure and delay-coordinate embedding to study the dynamics of these complex nonlinear systems. We find strong indications, from multiple corroborating methods, of low-dimensional dynamics in the performance of a simple prog...

Abstract— Data grids are an important branch of gird computing which provide mechanisms for the management of large volumes of distributed data. Energy efficiency has recently emerged as a hot topic in large distributed systems. The development of computing systems is traditionally focused on performance improvements driven by the demand of client's applications in scientific and business domai...