IEEE Symposium on Intelligent Embedded Systems (IES)
2014 IEEE Symposium on Intelligent Embedded Systems (IES)
9-12 Dec. 2014
Showing 1-16 of 16
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
Intelligent Embedded Systems (IES), 2014 IEEE Symposium on
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Fuzzy algorithm for intelligent wireless sensors with solar harvesting
Publication Year: 2014,Page(s):1 - 7
Cited by: Papers (12)
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...Show More
Location-specific optimization of energy harvesting environmental monitoring systems
Publication Year: 2014,Page(s):8 - 13
Cited by: Papers (1)
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...Show More
Directional enhancements for emergency navigation
Publication Year: 2014,Page(s):14 - 20
Cited by: Papers (1)
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...Show More
WiFi localization on the International Space Station
Jongwoon Yoo;Taemin Kim;Christopher Provencher;Terrence Fong
Publication Year: 2014,Page(s):21 - 26
Cited by: Papers (4)
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...Show More
Self-aware and self-expressive driven fault tolerance for embedded systems
Publication Year: 2014,Page(s):27 - 33
Cited by: Papers (4)
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 ...Show More
Learning causal dependencies to detect and diagnose faults in sensor networks
Publication Year: 2014,Page(s):34 - 41
Cited by: Papers (3)
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...Show More
Salted hashes for message authentication - proof of concept on tiny embedded systems
Publication Year: 2014,Page(s):42 - 46
Cited by: Papers (2)
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...Show More
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 ...Show More
High precision FPGA implementation of neural network activation functions
Francisco Ortega-Zamorano;José M. Jerez;Gustavo Juárez;Jorge O. Pérez;Leonardo Franco
Publication Year: 2014,Page(s):55 - 60
Cited by: Papers (17)
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...Show More
An intelligent embedded system for real-time adaptive extreme learning machine
Raúl Finker;Inés del Campo;Javier Echanobe;Victoria Martínez
Publication Year: 2014,Page(s):61 - 69
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...Show More
A differential flatness theory approach to adaptive fuzzy control of chaotic dynamical systems
Publication Year: 2014,Page(s):70 - 75
Cited by: Papers (1)
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...Show More
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
Intelligent Embedded Systems (IES), 2014 IEEE Symposium on
- Print on DemandPurchase at Partner
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