Micro unmanned aerial vehicles (MUAVs) have attracted much interest as flexible communication means for multiple applications due to their versatility. Most of the MUAV-based applications require a time-limited access...
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ISBN:
(纸本)9781467389990
Micro unmanned aerial vehicles (MUAVs) have attracted much interest as flexible communication means for multiple applications due to their versatility. Most of the MUAV-based applications require a time-limited access to the spectrum to complete datatransmissiondue to limited battery capacity of the flying units. These characteristics are the origin of two main challenges faced by MUAV-based communication: 1) efficient energy management, and 2) opportunistic spectrum access. This paper proposes an energy-efficient solution, considering the hover and communication energy, to address these issues by integrating cognitive radio (CR) technology with MUAVs. A non convex optimization problem exploiting the mobility of MUAVs is developed for the underlay CR technique. The objective is to determine an optimized three-dimension (3d) location, for a secondary MUAV, at which it can complete its data transfer with minimum energy consumption and without harming the data rate requirement of the primary spectrum owner. Two algorithms are proposed to solve these optimization problems: a meta-heuristic particle swarm optimization algorithm (PSO) and a deterministic algorithm based on Weber formulation. Selected numerical results show the behavior of the MUAV versus various system parameters and that the proposed solutions achieve very close results in spite of the different conceptional constructions.
In the field of non-destructive testing, Terahertz (THz) tomography is a modern imaging technique permitting 3d inspection of opaque objects. A tomographic procedure reconstructs a 3d volume of the acquired object by ...
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In the field of non-destructive testing, Terahertz (THz) tomography is a modern imaging technique permitting 3d inspection of opaque objects. A tomographic procedure reconstructs a 3d volume of the acquired object by intersecting the data contained on the projection set. This depth information is extracted from several projections acquired around the object at different viewing angles. This property has made THz tomography a complementary technique to X-Rays. Several reconstruction methods have been investigated for THz tomography [1] but they must be adapted to THz wave properties. For monochromatic source, Beer-Lambert law describes the attenuation encountered by THz waves through the sample and measured on the detector, when reflexion and refraction effects are neglected. Then, as their complements in X-Ray tomography, we investigate in this paper on a Maximum-Likelihood expectation-maximization for transmission tomography (ML-TR) compatible with THz radiations. This method, based on Poisson distribution model of measured radiations, takes into account the Gaussian propagation of THz beam [2] and allows introducing some a priori knowledge about the imaged object. Especially, we focus on the implementation denoted Ordered Subsets Convex (OSC) algorithm since it has an efficient convergence rate despite of the noise level and the sparsity of acquireddata [3]. We discuss how this new reconstruction is able to estimate physical properties of samples acquired with a 100GHz/300GHz scanner in addition to the 3d reconstruction. Moreover, we present an innovative data and image processing sequence to perform non-destructive inspection from 3d terahertz (THz) images. After a 3d tomographic reconstruction of a sample, a preset segmentation affords the different regions of interest (ROI) composing the inert part of sample. Then a 3dvisualization anddimensional measurements could be performed on these ROI, separately, in order to provide new informations of the studied sam
The great advances in the field of 3d scanning technologies have enabled the creation of meshes with hundred millions of polygons. Rendering data sets of that size is time consuming even with commodity graphics hardwa...
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An increasing number of mobile devices are equipped to acquire 3d range data along with color texture (e.g., iPhone X). As these devices are adopted, more people will have direct access to 3d imaging devices, bringing...
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Augmented Reality (AR) is a collaborative experience of a physical world environment along with 3d virtual objects. Augmented Reality allows the user to interact with the virtual objects created in the real world. A d...
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In the framework of new services in wireless networks beyond the third generation, asymmetric and flexible uplink transmission schemes are highly desirable. Hence, especially in "data only" networks, an effi...
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ISBN:
(纸本)0780382927
In the framework of new services in wireless networks beyond the third generation, asymmetric and flexible uplink transmission schemes are highly desirable. Hence, especially in "data only" networks, an efficient uplink scheduling must not be neglected in the network design. Although not yet well covered in the literature, this area appears to gain importance especially in the face of high speed uplink packet access (HSUPA) radio link design for future wireless systems. In this work we study an uplink scheduling scheme from the information theoretic and queueing theoretic point of view. The objective of the cross-layer [2] scheduling approach we present is the stability of bit-queues awaiting their transmission at every user node. With this approach is associated an optimization problem of maximizing the weighted sum of rates, where the weights express the intensity of packet-traffics at every user node. An important property characterizing our approach is considering only spatial channelization of users, i.e. allocating user signals within one succesive interference cancellation (SIC) order fixed over a certain time interval T. We show, that despite this neglection of time sharing technique, it is possible to achieve an overall optimal stability achieving scheduling for every set of user rate weights. Furthermore, we show that the choice of the SIC-order allowing for the optimal scheduling is independent of user channels and that the associated optimization problem over transmit covariance matrices is convex.
In case of an emergency event (e.g., earthquake, storm, flood) cultural heritage and archeological monuments must be particularly cared because of their inestimable value and the intrinsic greater fragility. Morpholog...
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ISBN:
(纸本)9781509052349
In case of an emergency event (e.g., earthquake, storm, flood) cultural heritage and archeological monuments must be particularly cared because of their inestimable value and the intrinsic greater fragility. Morphological surveys must be executed immediately for quick identification of damages so that the needed operations can be planned and performed in the shortest timeframe. The survey, to be accurate and useful to the aim, must use the most modern technologies (laser scanner, 4k video, high resolution pictures) but, considering the hostility of the environment, to process all the surveyeddata on site in real time is practically impossible. Thus, a very efficient telecommunication system based on multiple segments and QoS assurance must be set up to send the collecteddata in real time to a remote location, equipped with powerful processing capability and adequate staff to perform evaluations and to provide support to decisions. This paper describes a project idea that analyzes the survey methodology and the technical feasibility of the telecommunication network.
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