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In this paper, we present a new, dynamic graph data structure, built to deliver high update rates while keeping a low memory footprint using autonomous memory management directly on the GPU. By transferring the memory management to the GPU, efficient updating of the graph structure and fast initialization times are enabled as no additional memory allocation calls or reallocation procedures are necessary...
The transition from the classical energy grid to a smart grid implies the introduction of information and communication technologies. In recent years, research and industry worked on enabling smart grids by developing solutions to connect and integrate distributed energy systems. Even though these efforts have made significant progress, a main issue relates to the costs of additional technical solutions...
The notion of Smart Grids entails the vision that energy grids handling one-way flows of energy evolve into Smart Grids dealing with multi-directional flows of energy and digital information. Numerous projects have already dealt with solving the resulting complexity and proposed several new, integrated approaches to delivering suitable information technology and operational technology solutions. However,...
In nowadays Smart Grids, economic optimizations performed by Virtual Power Plants (VPPs) may interfere with stable grid operation required by Distribution System Operators (DSOs). Since Smart Grids and VPPs are important building blocks of future energy systems, bridging the gap between economic optimization performed by VPPs and stable grid operation required by DSOs is an important task. In this...
Software-defined networking opens up new possibilities for architectures based on open source components, promising improved orchestration and agility, lower operational costs, and--most important--a wave of innovation. The Web extra at http://youtu.be/pdG2btcyyK8 is a video in which authors Christian Esteve Rothenberg, Roy Chua, and Thomas Nadeau present a slideshow and discuss how software-defined...
Unusual event detection, i.e., identifying unspecified rare/critical events, has become one of the major challenges in visual surveillance. The main solution for this problem is to describe local or global normalness and to report events that do not fit to the estimated models. The majority of existing approaches, however, is limited to a single description (e.g., either appearance or motion) and/or...
The lithium ion technology was introduced to the market in 1990/1991 and series production has been established in the mid 1990ies. Within only a few years, the lithium ion system has become the market leader in the rechargeable small format battery market. Lithium ion batteries are used world-wide in practically all modern portable consumer electronics, such as notebooks, mobile phones, camcorders...
Unusual event detection, i.e., identifying (previously unseen) rare/critical events, has become one of the major challenges in visual surveillance. The main solution for this problem is to describe local or global normalness and to report events that do not fit to the estimated models. The majority of existing approaches, however, is limited to a single description (e.g., appearance or motion) and/or...
This paper introduces an efficient method to substantially increase the recognition performance of a vocabulary tree based recognition system. We propose to enhance the hypothesis obtained by a standard inverse object voting algorithm with reliable descriptor co-occurrences. The algorithm operates on different layers of a standard k-means tree benefiting from the advantages of different levels of...
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