2014 IEEE Symposium on Intelligent Embedded Systems (IES)最新文献

Self-aware and self-expressive driven fault tolerance for embedded systems 嵌入式系统的自我意识和自我表达驱动容错

2014 IEEE Symposium on Intelligent Embedded Systems (IES) Pub Date : 2014-12-01 DOI: 10.1109/INTELES.2014.7008982

Tatiana Djaba Nya, S. Stilkerich, Christian Siemers

引用次数: 4

Directional enhancements for emergency navigation 增强了紧急导航的方向性

2014 IEEE Symposium on Intelligent Embedded Systems (IES) Pub Date : 2014-12-01 DOI: 10.1109/INTELES.2014.7008980

András Kokuti, E. Gelenbe

{"title":"Directional enhancements for emergency navigation","authors":"András Kokuti, E. Gelenbe","doi":"10.1109/INTELES.2014.7008980","DOIUrl":"https://doi.org/10.1109/INTELES.2014.7008980","url":null,"abstract":"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 integrated into an autonomous Emergency Support System (ESS) to guide evacuees in a built environment. The ESS that we propose, that includes the directional algorithm and the Oppcomms, are evaluated using simulation experiments with the DBES (Distributed Building Evacuation Simulator) tool by simulating a shopping centre where fire is spreading. The results show that the directional path finding algorithm can offer significant improvements for the evacuees. In particular, we see that the improved and more reliable communications offered by Oppcomms, especially when the number of evacuees is larger, can help to compensate for the effects of congestion and improve the overall success of the evacuation scheme. Throughout the simulations we observe improvements of a few percent, which can translate into a valuable number of more people that are safely evacuated when human lives and safety are at risk.","PeriodicalId":345619,"journal":{"name":"2014 IEEE Symposium on Intelligent Embedded Systems (IES)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114934448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Novelty detection in images by sparse representations 基于稀疏表示的图像新颖性检测

2014 IEEE Symposium on Intelligent Embedded Systems (IES) Pub Date : 2014-12-01 DOI: 10.1109/INTELES.2014.7008985

G. Boracchi, Diego Carrera, B. Wohlberg

引用次数: 34

Fuzzy algorithm for intelligent wireless sensors with solar harvesting 太阳能采集智能无线传感器的模糊算法

2014 IEEE Symposium on Intelligent Embedded Systems (IES) Pub Date : 2014-12-01 DOI: 10.1109/INTELES.2014.7008978

Michal Prauzek, P. Musílek, A. G. Watts

{"title":"Fuzzy algorithm for intelligent wireless sensors with solar harvesting","authors":"Michal Prauzek, P. Musílek, A. G. Watts","doi":"10.1109/INTELES.2014.7008978","DOIUrl":"https://doi.org/10.1109/INTELES.2014.7008978","url":null,"abstract":"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 energy extracted from the environment, e.g. through solar harvesting. Their design is a challenging problem with several conflicting goals and a number of design and implementation possibilities. For obvious reasons, these devices must be designed in an energy efficient way. As a result, they usually have low computational performance and cannot implement complicated control algorithms. At the same time, due to the requirements for autonomy and dependability, they must be endowed with certain degree of adaptability and fault tolerance - properties typically found in intelligent systems. In this contribution, we describe the design flow of an intelligent embedded control system for management of energy use in wireless monitoring systems. The paper also provides a simulation-based analysis of the control system performance.","PeriodicalId":345619,"journal":{"name":"2014 IEEE Symposium on Intelligent Embedded Systems (IES)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116362427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15

Learning causal dependencies to detect and diagnose faults in sensor networks 基于因果关系学习的传感器网络故障检测与诊断

2014 IEEE Symposium on Intelligent Embedded Systems (IES) Pub Date : 2014-12-01 DOI: 10.1109/INTELES.2014.7008983

C. Alippi, M. Roveri, F. Trovò

引用次数: 6

Location-specific optimization of energy harvesting environmental monitoring systems 能源收集环境监测系统的定点优化

2014 IEEE Symposium on Intelligent Embedded Systems (IES) Pub Date : 2014-12-01 DOI: 10.1109/INTELES.2014.7008979

P. Musílek, P. Krömer, Michal Prauzek

{"title":"Location-specific optimization of energy harvesting environmental monitoring systems","authors":"P. Musílek, P. Krömer, Michal Prauzek","doi":"10.1109/INTELES.2014.7008979","DOIUrl":"https://doi.org/10.1109/INTELES.2014.7008979","url":null,"abstract":"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 autonomous operation and to minimize their maintenance costs, such systems are often powered using energy harvested from the environment itself. Due to the scarcity and intermittency of the environmental energy, operation of energy harvesting monitoring systems is not a trivial task. Their sensing, transmitting, and housekeeping activities must be carefully managed to extend their lifetime while providing desired quality of service. As the environmental conditions change with the region of deployment, the strategies for energy management must change accordingly to match the energy availability. In this work, we examine how geographic location affects the operations and quality of data collected by a solar-powered monitoring system. In particular, we use node/network simulation tools to follow the performance of energy-harvesting environmental monitoring sensor nodes at different latitudes, from equator to the pole. Static parameters of the simulated sensor nodes are determined for each latitude using an intelligent optimization method. The results show a clear dependence of the monitoring system performance on its deployment location. This encourages location-specific optimization of sensor node properties and parameters.","PeriodicalId":345619,"journal":{"name":"2014 IEEE Symposium on Intelligent Embedded Systems (IES)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124410963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A differential flatness theory approach to adaptive fuzzy control of chaotic dynamical systems 基于微分平坦度理论的混沌动力系统自适应模糊控制

2014 IEEE Symposium on Intelligent Embedded Systems (IES) Pub Date : 2014-12-01 DOI: 10.1109/INTELES.2014.7008988

G. Rigatos

{"title":"A differential flatness theory approach to adaptive fuzzy control of chaotic dynamical systems","authors":"G. Rigatos","doi":"10.1109/INTELES.2014.7008988","DOIUrl":"https://doi.org/10.1109/INTELES.2014.7008988","url":null,"abstract":"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 control inputs are shown to contain nonlinear elements which depend on the system's parameters. The nonlinear terms which appear in the control inputs of the transformed dynamical model are approximated with the use of neuro-fuzzy networks. It is proven that a suitable learning law can be defined for the aforementioned neuro-fuzzy approximators so as to preserve the closed-loop system stability. Moreover, with the use of Lyapunov stability analysis it is proven that the proposed adaptive fuzzy control scheme results in H∞ tracking performance, which means that the influence of the modeling errors and the external disturbances on the tracking error is attenuated to an arbitrary desirable level. Simulation experiments confirm the efficiency of the proposed adaptive fuzzy control method, using as a case study the model of the Lorenz chaotic oscillator.","PeriodicalId":345619,"journal":{"name":"2014 IEEE Symposium on Intelligent Embedded Systems (IES)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124918704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

WiFi localization on the International Space Station 国际空间站WiFi定位

2014 IEEE Symposium on Intelligent Embedded Systems (IES) Pub Date : 2014-12-01 DOI: 10.1109/INTELES.2014.7008981

Jongwoon Yoo, Taemin Kim, C. Provencher, T. Fong

引用次数: 5

An intelligent embedded system for real-time adaptive extreme learning machine 一种实时自适应极限学习机的智能嵌入式系统

2014 IEEE Symposium on Intelligent Embedded Systems (IES) Pub Date : 2014-12-01 DOI: 10.1109/INTELES.2014.7008987

Raul Finker, I. D. Campo, J. Echanobe, M. V. Martínez

{"title":"An intelligent embedded system for real-time adaptive extreme learning machine","authors":"Raul Finker, I. D. Campo, J. Echanobe, M. V. Martínez","doi":"10.1109/INTELES.2014.7008987","DOIUrl":"https://doi.org/10.1109/INTELES.2014.7008987","url":null,"abstract":"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 above methods. ELM is appropriate for the implementation of intelligent embedded systems with real-time learning capability. Moreover, a number of cutting-edge applications demanding a high performance solution could benefit from this approach. In this work, a scalable hardware/software architecture for ELM is presented, and the details of its implementation on a field programmable gate array (FPGA) are analyzed. The proposed solution provides high speed, small size, low power consumption, autonomy, and true capability for real-time adaptation (i.e. the learning stage is performed on-chip). The developed system is able to deal with highly demanding multiclass classification problems. Two real-world applications are presented, a benchmark problem of the Landsat images database, and a novel driver identification system for smart car applications. Experimental results that validate the proposal are provided.","PeriodicalId":345619,"journal":{"name":"2014 IEEE Symposium on Intelligent Embedded Systems (IES)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134344840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Salted hashes for message authentication - proof of concept on tiny embedded systems 用于消息认证的加盐哈希——微型嵌入式系统的概念证明

2014 IEEE Symposium on Intelligent Embedded Systems (IES) Pub Date : 2014-12-01 DOI: 10.1109/INTELES.2014.7008984

Rene Romann, R. Salomon

引用次数: 3