217,612 research outputs found

    Special Issue on Recent Advance on Mobile Sensor Systems

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    Shu, L.; Vasilakos, AV.; Lloret, J.; Pathan, AK. (2011). Special Issue on Recent Advance on Mobile Sensor Systems. Telecommunication Systems. doi:10.1007/s11235-011-9560-y

    Smart Antennas and Intelligent Sensors Based Systems: Enabling Technologies and Applications

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    open access articleThe growing communication and computing capabilities in the devices enlarge the connected world and improve the human life comfort level. The evolution of intelligent sensor networks and smart antennas has led to the development of smart devices and systems for real-time monitoring of various environments. The demand of smart antennas and intelligent sensors significantly increases when dealing with multiuser communication system that needs to be adaptive, especially in unknown adverse environment [1–3]. The smart antennas based arrays are capable of steering the main beam in any desired direction while placing nulls in the unwanted directions. Intelligent sensor networks integration with smart antennas will provide algorithms and interesting application to collect various data of environment to make intelligent decisions [4, 5]. The aim of this special issue is to provide an inclusive vision on the current research in the area of intelligent sensors and smart antenna based systems for enabling various applications and technologies. We cordially invite some researchers to contribute papers that discuss the issues arising in intelligent sensors and smart antenna based system. Hence, this special issue offers the state-of-the-art research in this field

    Modeling a Sensor to Improve its Efficacy

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    Robots rely on sensors to provide them with information about their surroundings. However, high-quality sensors can be extremely expensive and cost-prohibitive. Thus many robotic systems must make due with lower-quality sensors. Here we demonstrate via a case study how modeling a sensor can improve its efficacy when employed within a Bayesian inferential framework. As a test bed we employ a robotic arm that is designed to autonomously take its own measurements using an inexpensive LEGO light sensor to estimate the position and radius of a white circle on a black field. The light sensor integrates the light arriving from a spatially distributed region within its field of view weighted by its Spatial Sensitivity Function (SSF). We demonstrate that by incorporating an accurate model of the light sensor SSF into the likelihood function of a Bayesian inference engine, an autonomous system can make improved inferences about its surroundings. The method presented here is data-based, fairly general, and made with plug-and play in mind so that it could be implemented in similar problems.Comment: 18 pages, 8 figures, submitted to the special issue of "Sensors for Robotics

    Sky and ground - wave high frequency (HF) radars: challenges in modelling, simulation and application preface

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    Radar systems operating at high frequency (HF) are able to exploit a variety of propagation mechanisms to achieve line-of-sight (LOS) illumination as well as over-the-horizon coverage, thereby providing many opportunities for long range, wide area multi-sensor surveillance. The purpose of this special issue is to bring together latest research results on physical understanding, mathematical modelling, numerical simulation, and novel application challenges (e.g., tsunami detection) in the field of sky- and ground-wave HF radars. The challenges include understanding complex radar echo, environmental noise, sea/land/ionospheric clutter, sky- and ground-wave propagation; mechanisms, radar cross-section (RCS) in the resonance regime, frequency monitoring in highly crowded spectrum, antenna design and beam-forming, beam-steering, detection, tracking, classification, and identification algorithm development, dataand sensor-fusion, etc. This special issue is devoted to these topics

    Sensor Technologies for Caring People with Disabilities

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    Today, the population uses technology for every daily activity involving business, education, communication, entertainment, etc. Technologymay also help us to take care of peoplewho suffer some kind of disability. Complex technological ecosystems with pervasive and intelligent capabilities get along with us, facilitating the vigilance of those who need special attention or assisted living cares due to their health limitations. The advances in sensor research have enriched the powerful of these ecosystems to achieve more sophisticated monitoring and alarm systems, also taking into account the balance between the level of assistance and the people’s privacy. The Special Issue on “Sensor Technologies for Caring People with Disabilities” aims to present recent developments on sensor technologies for caring people with disabilities, focusing on the different configurations that can be used and novel applications in the field

    Editorial

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    After the Special Issue on Emerging Web Technologies and Applications, which started Vol. 23, the second issue of CIT. Journal of Computing and Information Technology publishes a number of papers from its regular section along with another one originating from the 16th International Conference on Human-Computer Interaction – HCI International 2014. The research areas tackled by these papers encompass those of wireless sensor networks, data warehousing, software project management, as well as logistics and facial recognition. The issue ends with a paper on eye tracking based interaction in e-learning systems

    Lifetime Improvement in Wireless Sensor Networks via Collaborative Beamforming and Cooperative Transmission

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    Collaborative beamforming (CB) and cooperative transmission (CT) have recently emerged as communication techniques that can make effective use of collaborative/cooperative nodes to create a virtual multiple-input/multiple-output (MIMO) system. Extending the lifetime of networks composed of battery-operated nodes is a key issue in the design and operation of wireless sensor networks. This paper considers the effects on network lifetime of allowing closely located nodes to use CB/CT to reduce the load or even to avoid packet-forwarding requests to nodes that have critical battery life. First, the effectiveness of CB/CT in improving the signal strength at a faraway destination using energy in nearby nodes is studied. Then, the performance improvement obtained by this technique is analyzed for a special 2D disk case. Further, for general networks in which information-generation rates are fixed, a new routing problem is formulated as a linear programming problem, while for other general networks, the cost for routing is dynamically adjusted according to the amount of energy remaining and the effectiveness of CB/CT. From the analysis and the simulation results, it is seen that the proposed method can reduce the payloads of energy-depleting nodes by about 90% in the special case network considered and improve the lifetimes of general networks by about 10%, compared with existing techniques.Comment: Invited paper to appear in the IEE Proceedings: Microwaves, Antennas and Propagation, Special Issue on Antenna Systems and Propagation for Future Wireless Communication
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