Pervasive sensor based systems are transforming Information Technology systems from being transactional in nature to being observational in nature. Observational systems are inherently distributed and capture informat...
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ISBN:
(纸本)1424407281
Pervasive sensor based systems are transforming Information Technology systems from being transactional in nature to being observational in nature. Observational systems are inherently distributed and capture information at a much finer grain of space and time. Enabling and building such systems also poses many technology challenges, extracting information from sensor signals, indexing and searching sensor meta-data, data mining and scalability. In this paper we use S3: The IBM Smart Surveillance System as an example of an observational system to explore several of these issues through real world deployment examples.
A study about cache performance in LEON2 spaceborne processor is presented. This study has been carried out in collaboration with EADS Astrium Toulouse and its purpose is to analyse the impact of the cache of LEON2 mi...
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ISBN:
(纸本)9781424408290
A study about cache performance in LEON2 spaceborne processor is presented. This study has been carried out in collaboration with EADS Astrium Toulouse and its purpose is to analyse the impact of the cache of LEON2 microprocessor in tide WCET determination. In order to reach this objective, a cache characterization has been performed through a battery of low and high level test benches.
A multiple-target tracking system aimed at analyzing crossroad traffic systematically is proposed in this paper. The proposed mechanism is based on Kalman filtering and modified probabilistic data association. Unlike ...
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ISBN:
(纸本)9781424407286
A multiple-target tracking system aimed at analyzing crossroad traffic systematically is proposed in this paper. The proposed mechanism is based on Kalman filtering and modified probabilistic data association. Unlike traditional Kalman filtering tracking, the proposed mechanism constructs candidate measurement lists by matching the sizes of the measurements and the targets first. When the sizes do not match, object matching within a limited area is performed. Also, we modify the classical Probabilistic Data Association method to enhance its performance and make it more suitable for vision-based systems. The proposed mechanism, which can serve as the foundation for automatic traffic event detection, can solve the occlusion problems effectively without incurring too much computational complexity.
A signalprocessing algorithm is applied to optical spectral analyzer measurements in order to reconstruct phase response of FBGs from easy-to-obtain module data, so avoiding the use of costly and complex equipment fo...
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ISBN:
(纸本)9781424408290
A signalprocessing algorithm is applied to optical spectral analyzer measurements in order to reconstruct phase response of FBGs from easy-to-obtain module data, so avoiding the use of costly and complex equipment for direct measurement of frequency response. In order to prove validity, reconstructed phase, both in transmission and reflection, is then compared to measures from three different techniques (interferometric, modulation phase-shift, and single-sideband modulation).
Successful design of a flat-profile multiplexed optical imaging system requires the use of adaptive techniques to make intelligent resource allocation based on the information content in the imaging system's field...
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ISBN:
(纸本)1424407281
Successful design of a flat-profile multiplexed optical imaging system requires the use of adaptive techniques to make intelligent resource allocation based on the information content in the imaging system's field-of-view. This paper explores techniques for finding regions of interest in aerial images using local entropy as a descriptor. A novel method for identifying regions-of-interest in images is developed using the 2D normalized power spectral density within Gilles' saliency map estimator. Application of the method to candidate aerial images shows its ability to identify consistent regions of interest for such data for varying block sizes and under additive noise.
Traffic is a major concern for most of the metropolitan cities of the world. Efficient traffic management can have a major impact on the country's economy. This paper proposes a new digital-logic based system whic...
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ISBN:
(纸本)9781424412358
Traffic is a major concern for most of the metropolitan cities of the world. Efficient traffic management can have a major impact on the country's economy. This paper proposes a new digital-logic based system which is more efficient than currently used traffic control systems. The intelligent Traffic Control System (ITSC) is based on a simple principle;the principle being that "a car can only move ahead if there is space for it" and "the signal remains green until the present cars have passed". By placing sensors at every entry and exit of a junction and monitoring the number of cars present at the junction, it is possible to make traffic very efficient, which is a good application of Digital signalprocessing. However, absolute advantage of such a system will only be felt if every junction in a city is controlled by this system.
Condition monitoring and diagnosis of industrial systems avoids unexpected failures and greatly improves system reliability and maintainability. Advances in wireless communication, microelectronics, digital electronic...
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ISBN:
(纸本)9781424408290
Condition monitoring and diagnosis of industrial systems avoids unexpected failures and greatly improves system reliability and maintainability. Advances in wireless communication, microelectronics, digital electronics and highly integrated electronics in addition to the increasingly need for more efficient controlled electric systems, makes the development of monitoring and supervisory control tools object of study of many researchers. This paper proposes a digital system for energy usage evaluation, condition monitoring, diagnosis and supervisory control for electric systems applying wireless sensor networks (WSNs) connected to a wired infrastructure. The system is based on two hardware topologies responsible for the signal acquisition, processing and transmission: intelligent Sensors Modules (ISMs) and Remote Data Acquisition Units (RDAUs). The gateway function of the wired network is carried out by Remote Servers (RSs) based on the AMD-Soekris NET4521 architecture, responsible for receiving the data collected and transmitting it to the Supervisory Controller (SCs) based on a PC Pentium IV architecture. The basic characteristics of the presented system are: (a) easy implementation. (b) low, cost implementation, (c) easy implementation of redundant routines (security), and (d) portability/versatility.
In the recent years, there has been considerable interest in developing active catheters instrumented with Shape Memory Alloy (SMA) actuators to perform Angioplasty. The problem, however, with SMA actuators is the ext...
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This paper reports preliminary work with an RFID based local positioning system (LPS) designed for location and guidance of people and autonomous vehicles in indoor environments. The system consists of an RF reader ca...
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ISBN:
(纸本)9781424408290
This paper reports preliminary work with an RFID based local positioning system (LPS) designed for location and guidance of people and autonomous vehicles in indoor environments. The system consists of an RF reader carried by the mobile user, and a number of active RFID tags, disseminated at known positions in the displacement region, which regularly emit RF signals with an identification code. Upon reception of a signal, the range of the user to the corresponding tag is estimated indirectly from the received signal strength (RSSI), using a previously obtained statistical model. A computationally efficient Bayesian localization method (particle filter) is used to process the measurements and produce an estimation of the user's position. The RFID-LPS is tested empirically in a displacement region comprised of three adjacent rooms. with a total area of 250 m(2), in which there are placed 21 tags. Our first results show a typical mean positioning error of 3.25 m, which compares favorably with other systems reported in the literature.
Several works deal with 3D data in SLAM problem. Data come from a 3D laser sweeping unit or a stereo camera, both providing a huge amount of data. In this paper, we detail an efficient method to extract planar patches...
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