The main objective of this paper is to develop a new technique of SAR image classification. This technique combines structural parameters, including the Sill, the slope, the fractal dimension and the range, with stati...
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The main objective of this paper is to develop a new technique of SAR image classification. This technique combines structural parameters, including the Sill, the slope, the fractal dimension and the range, with statistical methods in a supervised image classification. Thanks to the range parameter, we define the suitable size of the image window used in the proposed approach of supervised image classification. This approach is based on a new way of characterising different classes identified on the image. The first step consists in determining relevant area of interest. The second step consists in characterising each area identified, by a matrix. The last step consists in automating the process for image classification.
Usually ambiguous words contained in article appear several times. Almost all existing methods for unsupervised word sense disambiguation make use of information contained only in ambiguous sentence. This paper presen...
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Due to advancements in lighting technologies new opportunities for application emerge. In this paper an interdisciplinary study towards the development of adaptive lighting environments is presented. An implementation...
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Due to advancements in lighting technologies new opportunities for application emerge. In this paper an interdisciplinary study towards the development of adaptive lighting environments is presented. An implementation of an adaptive lighting environment is made in the domain of office work. For evaluation, experts from the domains of human-system interaction, activity and context recognition, and system architecture design are interviewed. Contributions are made with regard to the implementation of the adaptive lighting in office environments and an evaluation method that is in line with the interdisciplinary approach. From the evaluation method insights in the fields of human-computer interaction, activity and context recognition and system architecture and (wireless) networking and in topics that span across these fields are gained.
Lie symmetry reduction of some truly ＂variable coefficient＂ wave equations which are singled out from a class of （1 ＋ 1）-dimensional variable coefficient nonlinear wave equations with respect to one and two-dimen...
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Lie symmetry reduction of some truly ＂variable coefficient＂ wave equations which are singled out from a class of （1 ＋ 1）-dimensional variable coefficient nonlinear wave equations with respect to one and two-dimensional algebras is carried out. Some classes of exact solutions of the investigated equations are found by means of both the reductions and some modern techniques such as additional equivalent transformations and hidden symmetries and so on. Conditional symmetries are also discussed.
The finding of the target for conceptual metonymy is critical for natural language understanding. We make use of the character of concept metonymy: it often occurs on the objects of verbs under the mode of relevant ve...
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In this paper, on the basis of detecting human skin area, 8 typical sitting postures were recognized using PCA. Firstly, moving object was detected by background contrast attenuation method. Then, considering the clus...
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Mobile phones and devices are evolving steadily, adding increasingly advanced capabilities. Today's smart phones, for example, have PClike functionality with complete operating system software that provides a plat...
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This paper tries to fill the gap between Traditional Chinese Pulse Diagnosis (TCPD) and Doppler diagnosis by applying digital signal analysis and pattern classification techniques to wrist radial arterial Doppler bloo...
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Big tree is a hierarchical data model for efficiently managing large scale web resources. This paper presents a new type of hierarchical data model, which is inspired by resource space model. Also it could be thought ...
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Existing routing protocols for Wireless Mesh Networks (WMNs) are generally optimized with statistical link measures, while not addressing on the intrinsic uncertainty of wireless links. We show evidence that, with the...
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ISBN:
(纸本)9781424459889
Existing routing protocols for Wireless Mesh Networks (WMNs) are generally optimized with statistical link measures, while not addressing on the intrinsic uncertainty of wireless links. We show evidence that, with the transient link uncertainties at PHY and MAC layers, a pseudo-deterministic routing protocol that relies on average or historic statistics can hardly explore the full potentials of a multi-hop wireless mesh. We study optimal WMN routing using probing-based online anypath forwarding, with explicit consideration of transient link uncertainties. We show the underlying connection between WMN routing and the classic Canadian Traveller Problem (CTP) [1]. Inspired by a stochastic recoverable version of CTP (SRCTP), we develop a practical SRCTP-based online routing algorithm under link uncertainties. We study how dynamic next hop selection can be done with low cost, and derive a systematic selection order for minimizing transmission delay. We conduct simulation studies to verify the effectiveness of the SRCTP algorithms under diverse network configurations. In particular, compared to deterministic routing, reduction of end-to-end delay (51:15∼73:02%) and improvement on packet delivery ratio (99:76%) are observed.
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