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2017 in Application-Specific Systems, Architectures, and Processors
Arman Pouraghily1
Estimated H-index: 1
(University of Massachusetts Amherst),
Tilman Wolf27
Estimated H-index: 27
(University of Massachusetts Amherst),
Russell Tessier29
Estimated H-index: 29
(University of Massachusetts Amherst)
Internet-connected embedded systems have limited capabilities to defend themselves against remote hacking attacks. The potential effects of such attacks, however, can have a significant impact in the context of the Internet of Things, industrial control systems, smart health systems, etc. Embedded systems cannot effectively utilize existing software-based protection mechanisms due to limited processing capabilities and energy resources. We propose a nove...
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2016 in International Conference on Image Processing
Zhaoqiang Xia6
Estimated H-index: 6
(Northwestern Polytechnical University),
Wenhao Zhang (Northwestern Polytechnical University)+ 2 AuthorsAbdenour Hadid29
Estimated H-index: 29
(Northwestern Polytechnical University)
Eye localization is a vital procedure in many applications, such as face recognition and gaze tracking, and can further facilitate related procedures. Although many works have been devoted to localizing eyes in frontal facial images, most approaches cannot work effectively and efficiently in smart embedded systems (e.g., the vehicle system). In this paper, we propose an accurate eye localization approach for smart embedded systems. An illumination normalization...
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2012 in Computer Vision and Pattern Recognition
Eduardo Gudis1
Estimated H-index: 1
(SRI International),
Gooitzen S. van der Wal3
Estimated H-index: 3
(SRI International)
+ 4 AuthorsVlad Branzoi4
Estimated H-index: 4
(SRI International)
Stereo Vision processing is a critical component of Augmented Reality systems that rely on the precise depth map of a scene to properly place computer generated objects with real life video. Important aspects of the stereo processing are the creation of a dense depth map, high boundary precision, low latency and low power. We present an embedded system for Stereo Vision Processing based on a custom GigE vision board with an Altera Stratix IV FPGA and the Acadia® II System...
1 Citations Source Cite
Philip Axer8
Estimated H-index: 8
(Braunschweig University of Technology),
Rolf Ernst36
Estimated H-index: 36
(Braunschweig University of Technology)
+ 11 AuthorsWang Yi47
Estimated H-index: 47
(Uppsala University)
A large class of embedded systems is distinguished from general-purpose computing systems by the need to satisfy strict requirements on timing, often under constraints on available resources. Predictable system design is concerned with the challenge of building systems for which timing requirements can be guaranteed a priori . Perhaps paradoxically, this problem has become more difficult by the introduction of performance-enhancing architectural elements, such ...
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2014 in Pacific Rim International Conference on Artificial Intelligence
Wanli Xue (University of Tasmania), Hyunsuk Chung3
Estimated H-index: 3
(University of Tasmania)
+ 2 AuthorsByeong Ho Kang16
Estimated H-index: 16
(University of Tasmania)
An embedded system combines many hardware and software components. The more hardware and software components are used in an embedded system, the more complicated relationships occur. In order to understand the embedded system appropriately, it is necessary to have high-level expertise in both hardware and software components. However, not all the developers are expert in these two components. This research aims to resolve hardware and software components...
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Nikil D. Dutt8
Estimated H-index: 8
(University of California, Irvine),
Axel Jantsch33
Estimated H-index: 33
(Vienna University of Technology),
Santanu Sarma8
Estimated H-index: 8
(University of California, Irvine)
Embedded systems must address a multitude of potentially conflicting design constraints such as resiliency, energy, heat, cost, performance, security, etc., all in the face of highly dynamic operational behaviors and environmental conditions. By incorporating elements of intelligence, the hope is that the resulting “smart” embedded systems will function correctly and within desired constraints in spite of highly dynamic changes in the applications and the environment,...
17 Citations Source Cite
2014 in International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing
Hermann Kopetz36
Estimated H-index: 36
(Vienna University of Technology)
Summary form only given, as follows. Most of today?s machines, e.g., automotive engines, production machinery or even consumer devices, such as a washing machine, are controlled by an embedded computer system. It is assumed that the widespread integration of these existing embedded computer systems and data bases into systems-ofsystems (e.g., the Internet of Things, IoT) will provide new synergistic services, make better use of the available information, lead t...
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2008 in International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing
Hermann Kopetz36
Estimated H-index: 36
The ever-increasing functionality and the nonfunctional constraints that must be satisfied by embedded systems lead to an enormous growth in the complexity at the system level In this paper we investigate the notion of cognitive complexity and argue that it is not the embedded system, but the models of the embedded system that must be simple and understandable. The introduction of appropriate levels of abstraction in modeling and the associated co...
62 Citations Source Cite
2010 in International Conference on Communications
Stefan Schürmans5
Estimated H-index: 5
(RWTH Aachen University),
Elias Weingärtner7
Estimated H-index: 7
(RWTH Aachen University)
+ 3 AuthorsRainer Leupers35
Estimated H-index: 35
(RWTH Aachen University)
Nowadays, the development of embedded system hardware and related system software is mostly carried out using virtual platform environments. The high level of modeling detail (hardware elements are partially modeled in a cycle-accurate fashion) is required for many core design tasks. At the same time, the high computational complexity of virtual platforms caused by the detailed level of simulation hinders their application for modeling large networks of embedded sy...
1 Citations Source Cite
2013 in International Conference on Advanced Learning Technologies
Minzhe Guo5
Estimated H-index: 5
(University of Cincinnati),
Kai Qian11
Estimated H-index: 11
+ 4 AuthorsLi Yang9
Estimated H-index: 9
(University of Tennessee at Chattanooga)
To overcome shortcomings in existing embedded system education, this paper presents an ongoing work on developing a novel Android-based Mobile Sensory System Lab ware that is portable, affordable, and easily adoptable. The proposed lab ware can facilitate authentic and creative learning of embedded systems and provide extensive hands-on experience using mobile embedded platforms. Preliminary feedback from students is positive and encouraging.
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