575 research outputs found
Solid image extraction from LIDAR point clouds
In laser scanner architectural surveying it is necessary to extract orthogonal projections from the tridimensional model, plans, elevations and cross sections. The paper presents the workflow of architectural drawings production from laser scans, focusing on the orthogonal projection of the point cloud on solid images, in order to avoid the time consuming surface modeling, when it is not strictly necessary. The proposed procedures have been implemented in fortran90 and included in the VELOCE software package, then tested and applied to the case study of the San Pietro church in Porto Venere (SP), integrating the architectural surveying with an existing bathymetric and coastal surveyin
Informed Network Coding for Minimum Decoding Delay
Network coding is a highly efficient data dissemination mechanism for
wireless networks. Since network coded information can only be recovered after
delivering a sufficient number of coded packets, the resulting decoding delay
can become problematic for delay-sensitive applications such as real-time media
streaming. Motivated by this observation, we consider several algorithms that
minimize the decoding delay and analyze their performance by means of
simulation. The algorithms differ both in the required information about the
state of the neighbors' buffers and in the way this knowledge is used to decide
which packets to combine through coding operations. Our results show that a
greedy algorithm, whose encodings maximize the number of nodes at which a coded
packet is immediately decodable significantly outperforms existing network
coding protocols.Comment: Proc. of the IEEE International Conference on Mobile Ad-hoc and
Sensor Systems (IEEE MASS 2008), Atlanta, USA, September 200
Effective Delay Control in Online Network Coding
Motivated by streaming applications with stringent delay constraints, we
consider the design of online network coding algorithms with timely delivery
guarantees. Assuming that the sender is providing the same data to multiple
receivers over independent packet erasure channels, we focus on the case of
perfect feedback and heterogeneous erasure probabilities. Based on a general
analytical framework for evaluating the decoding delay, we show that existing
ARQ schemes fail to ensure that receivers with weak channels are able to
recover from packet losses within reasonable time. To overcome this problem, we
re-define the encoding rules in order to break the chains of linear
combinations that cannot be decoded after one of the packets is lost. Our
results show that sending uncoded packets at key times ensures that all the
receivers are able to meet specific delay requirements with very high
probability.Comment: 9 pages, IEEE Infocom 200
Multi-physics phenomena influencing the performance of the car horn
Usually cars are equipped with disk horns. In these devices electromagnetic energy is converted into mechanical energy
of two nuclei that vibrate and impact each other \u2013 the impacts excite the disk that radiates sound. This paper aims at
understanding the results of acoustic tests carried out on horns with different excitation voltages and different mounting
brackets. Since many non-linear phenomena are inherent in the vibrations of the nuclei, a detailed model of the
electromechanical system is developed. Results show the dependence of operating frequency on the input voltage
and the role played by the various mechanical and electrical parameters on the dynamics of the horn. Particular nonlinear
effects, like sub-harmonic excitation, are presented and discussed. A general agreement between experimental
results and numerical simulations is found
Adaptive comanagement in the Venice lagoon? An analysis of current water and environmental management practices and prospects for change
Adaptive comanagement (ACM) is often suggested as a way of handling the modern challenges of environmental governance, which include uncertainty and complexity. ACM is a novel combination of the learning dimension of adaptive management and the linkage dimension of comanagement. As has been suggested, there is a need for more insight on enabling policy environments for ACM success and failure. Picking up on this agenda we provide a case study of the world famous Venice lagoon in Italy. We address the following questions: first, to what extent are four institutional prescriptions typically associated with ACM currently practiced in the Venice system? Second, to what extent is learning taking place in the Venice system? Third, how is learning related to the implementation or nonimplementation of the prescriptions of ACM in the Venice system? Our analysis is based on interviews with stakeholders, participatory observation, and archive data. This paper demonstrates that the prescriptions of ACM are hardly followed in the Venice lagoon, but some levels of cognitive learning do take place, albeit very much within established management paradigms. Normative and relational learning are much rarer and when they do occur, they seem to have a relatively opportunistic reason. We propose that in particular the low levels of collaboration, because the governance system was deliberately set up in a hierarchical and mono-centric way, and the limited possibilities for stakeholder participation are implicated in this finding because they cause low levels of social capital and an incapacity to handle disagreements and uncertainty very well. © 2012 by the author(s)
Energy efficiency of some non-cooperative, cooperative and hybrid communication schemes in multi-relay WSNs
In this paper we analyze the energy efficiency of single-hop, multi-hop, cooperative selective decode-and-forward, cooperative incremental decode-and-forward, and even the combination of cooperative and non-cooperative schemes, in wireless sensor networks composed of several nodes. We assume that, as the sensor nodes can experience either non line-of-sight or some line-of-sight conditions, the Nakagami-m fading distribution is used to model the wireless environment. The energy efficiency analysis is constrained by a target outage probability and an end-to-end throughput. Our results show that in most scenarios cooperative incremental schemes are more energy efficient than the other methods
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