2014 IEEE Symposium on Intelligent Embedded Systems (IES)

9-12 Dec. 2014

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  • [Front cover]

    Publication Year: 2014, Page(s): c1
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  • [Copyright notice]

    Publication Year: 2014, Page(s): ii
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  • Table of contents

    Publication Year: 2014, Page(s):iii - iv
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  • [Front matter]

    Publication Year: 2014, Page(s):v - vii
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  • Fuzzy algorithm for intelligent wireless sensors with solar harvesting

    Publication Year: 2014, Page(s):1 - 7
    Cited by:  Papers (7)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1287 KB) | HTML iconHTML

    Wireless sensors are sophisticated embedded systems designed for collecting data on systems or processes of interest. In many cases, they are expected to operate in inaccessible locations, without user supervision. As a result, such monitoring systems need to operate autonomously and independently of external sources of energy. To achieve long-lived sustainability, monitoring systems often rely on... View full abstract»

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  • Location-specific optimization of energy harvesting environmental monitoring systems

    Publication Year: 2014, Page(s):8 - 13
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (723 KB) | HTML iconHTML

    Environmental sensing is necessary for air quality monitoring, assessment of ecosystem health, or climate change tracking. Environmental monitoring systems can take a form of standalone monitoring stations or networks of individual sensor nodes with wireless connectivity. The latter approach allows high resolution mapping of spatiotemporal characteristics of the environment. To allow their autonom... View full abstract»

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  • Directional enhancements for emergency navigation

    Publication Year: 2014, Page(s):14 - 20
    Cited by:  Papers (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (931 KB) | HTML iconHTML

    We present a novel direction based shortest path search algorithm to guide evacuees during an emergency. It uses opportunistic communications (oppcomms) with low-cost wearable mobile nodes that can exchange packets at close range of a few to some tens of meters without help of an infrastructure. The algorithm seeks the shortest path to exits which are safest with regard to a hazard, and is integra... View full abstract»

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  • WiFi localization on the International Space Station

    Publication Year: 2014, Page(s):21 - 26
    Cited by:  Papers (3)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (2320 KB) | HTML iconHTML

    This paper explores the possibility of using WiFi localization techniques for autonomous free-flying robots on the International Space Station (ISS). We have collected signal strength samples from the ISS, built the WiFi map using Gaussian processes, implemented a localizer based on particle filters, and evaluated the performance. Our results show the average error of 1.59 meters, which is accurat... View full abstract»

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  • Self-aware and self-expressive driven fault tolerance for embedded systems

    Publication Year: 2014, Page(s):27 - 33
    Cited by:  Papers (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (981 KB) | HTML iconHTML

    The growing complexity and size of computing systems as well as the unpredictability about changes in their deployment environment make their design increasingly challenging; especially for safety critical systems. Specifically the recognition of a fault within a system might be not only time consuming but also difficult in terms of reliability and completeness. This paper presents an approach to ... View full abstract»

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  • Learning causal dependencies to detect and diagnose faults in sensor networks

    Publication Year: 2014, Page(s):34 - 41
    Cited by:  Papers (2)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1301 KB) | HTML iconHTML

    Exploiting spatial and temporal relationships in acquired datastreams is a primary ability of Cognitive Fault Detection and Diagnosis Systems (FDDSs) for sensor networks. In fact, this novel generation of FDDSs relies on the ability to correctly characterize the existing relationships among acquired datastreams to provide prompt detections of faults (while reducing false positives) and guarantee a... View full abstract»

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  • Salted hashes for message authentication - proof of concept on tiny embedded systems

    Publication Year: 2014, Page(s):42 - 46
    Cited by:  Papers (2)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (797 KB) | HTML iconHTML

    Intelligent embedded systems become more and more widespread. Especially in the field of smart environments, such as smart homes, the systems are communicating with each other. If wireless communication is used, security becomes important. This paper explores to what extent salted hashes might be used on tiny embedded systems to provide message authentication. To this end, this paper uses two very... View full abstract»

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  • Novelty detection in images by sparse representations

    Publication Year: 2014, Page(s):47 - 54
    Cited by:  Papers (8)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (4055 KB) | HTML iconHTML

    We address the problem of automatically detecting anomalies in images, i.e., patterns that do not conform to those appearing in a reference training set. This is a very important feature for enabling an intelligent system to autonomously check the validity of acquired data, thus performing a preliminary, automatic, diagnosis. We approach this problem in a patch-wise manner, by learning a model to ... View full abstract»

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  • High precision FPGA implementation of neural network activation functions

    Publication Year: 2014, Page(s):55 - 60
    Cited by:  Papers (5)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1384 KB) | HTML iconHTML

    The efficient implementation of artificial neural networks in FPGA boards requires tackling several issues that strongly affect the final result. One of these issues is the computation of the neuron's activation function. In this work, a detailed analysis of the FPGA implementations of the Sigmoid and Exponential functions is carried out, in a approach combining a lookup table with a linear interp... View full abstract»

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  • An intelligent embedded system for real-time adaptive extreme learning machine

    Publication Year: 2014, Page(s):61 - 69
    Cited by:  Papers (4)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (891 KB) | HTML iconHTML

    Extreme learning machine (ELM) is an emerging approach that has attracted the attention of the research community because it outperforms conventional back-propagation feed-forward neural networks and support vector machines (SVM) in some aspects. ELM provides a robust learning algorithm, free of local minima, suitable for high speed computation, and less dependant on human intervention than the ab... View full abstract»

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  • A differential flatness theory approach to adaptive fuzzy control of chaotic dynamical systems

    Publication Year: 2014, Page(s):70 - 75
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (882 KB) | HTML iconHTML

    A solution to the problem of control of nonlinear chaotic dynamical systems, is proposed with the use of differential flatness theory and of adaptive fuzzy control theory. Considering that the dynamical model of chaotic systems is unknown, an adaptive fuzzy controller is designed. By applying differential flatness theory the chaotic system's model is written in a linear form, and the resulting con... View full abstract»

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  • Author index

    Publication Year: 2014, Page(s): 76
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