Nowadays Wireless Sensor Networks have attracted worldwide research and industrial interest, because they can be applied in various areas. Geographic routing protocols are very suitable to wireless sensor networks bec...
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Nowadays Wireless Sensor Networks have attracted worldwide research and industrial interest, because they can be applied in various areas. Geographic routing protocols are very suitable to wireless sensor networks because they use location information when they need to route packets. Obviously, location information is maintained by Location-Based Services provided by network nodes in a distributed way. The location based services can be classified into two classes: Flooding-Based and Rendezvous-based location *** this paper we choose to compare two hierarchical rendezvous location based-services, GLS (Grid Location Service) and HLS (Hierarchical Location Service) coupled to the GPSR routing protocol (Greedy Perimeter Stateless Routing).The simulations were performed using NS2 simulator for wireless sensor networks to evaluate the performance and power of the two services in term of location overhead, the request travel time (RTT) and the query Success ratio (QSR).This work presents also the scalability performance study of both GLS and HLS, specifically, what happens if the number of nodes N increases. The study will focus on three qualitative metrics: The location maintenance cost,the location query cost and the storage cost.
The proceedings contain 79 papers. The special focus in this conference is on Robot Navigation, Tracking and Scientific visualization. The topics include: computer vision meets computergraphics;autonomous mobile robo...
ISBN:
(纸本)9783540606970
The proceedings contain 79 papers. The special focus in this conference is on Robot Navigation, Tracking and Scientific visualization. The topics include: computer vision meets computergraphics;autonomous mobile robot navigation using fish-eye lenses;high-performance tracking system;a 3D predictive visual tracker for tracking multiple moving objects with a stereo vision system;vision guided circumnavigating autonomous robots;force-driven optimization for correspondence establishmen;a visualization technique for 3D velocity vector field;interactive particle tracing algorithm for unstructured grids;fast resampling using vector quasltization;a B-spline surface interpolation technique for reconstructing 3D objects from serial arbitrary shaped planar contours;two methods for a reliable comer detection in 2D images;on the deletability of points in 3D thinning;real-time textured object recognition on distributed systems;off-line signature verification without requiring random forgeries for training;noisy subsequence recognition using constrained swing editing involving substitutions, insertions, deletions and generalized transpositions;a geometrical editor for fold formation;simplification of polygonal surface with attributes;reducing polygonal data by structural grouping algorithm;an object-oriented architecture for chinese character composition;recognizing the courtesy amount;an automatic extraction approach of road information on the basis of recognition of character regions;a logic-based, object-oriented approach;on-line chinese character recognition with attributed relational graph matching;on-line handwritten alphanmneric character recognition using feature sequences;an adaptive supersampling method;dynamic memory mapping for window based display system and convert non-convex meshes to convex meshes for depth sorting in volume rendering.
In this paper we propose improvements to the 3D radial layouts that make it possible to visualize centrality measures of the nodes in a graph. Our improvements mainly relate edge drawing and the evaluation of the 3D r...
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Visual analysis of knowledge domain is an emerging field of study as science is highly dynamic and constantly evolving. Behind the scene, a knowledge domain is formed and contributed by enormous researchers' publi...
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Visual analysis of knowledge domain is an emerging field of study as science is highly dynamic and constantly evolving. Behind the scene, a knowledge domain is formed and contributed by enormous researchers' publications that describe the common subject of the domain. There is large number of significant activities have been carried out to visualize and identify the knowledge domains of research projects, groups and communities. However, the research on visualizing the knowledge structure at individual level is relative inactive. It is difficult to track down the individual's contribution to the subject and the degree of the knowledge they possess. In this paper, we are attempting to visualize the individual's knowledge structure by analyzing the citation and co-authorship relational structures. We try to analyze and map author's documents to the knowledge domains. By mapping the documents to knowledge domain, we obtain the skeleton of knowledge structure of an individual. Then, we apply the visualization technique to present the result.
We develop a three-dimensional (3-D) microwave imaging technique, which is extended from the forward-backward time-stepping (FBTS) algorithm and the Tikhonov's regularization approach, to determine the sizes and p...
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Content based image retrieval is an essential task in many image processing applications, among which, color based methods have been receiving constant attentions in past years, because color information is a discrimi...
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Content based image retrieval is an essential task in many image processing applications, among which, color based methods have been receiving constant attentions in past years, because color information is a discriminative descriptor for image retrieval, especially in case of large database. A limitation of previous color based methods is their unsuitability for retrieving similar scenes under varying lighting conditions as color is sensitive to illuminations. Besides image descriptors of some existing methods are with large dimensionality and thus computational expensive. As betterment, an adaptive method is proposed in this paper, which integrates the color invariant with some spatial information of images. Different from previous work, the number of states during the quantization of the color space is not manually determined. Instead, it depends on the context of the image itself, using an adaptive clustering technique: Firstly, feature map consisting of color invariants is established for images. Secondly, the Markov chain model is employed to capture the image both color and spatial information. Thirdly, an image descriptor is computed for each image, not under the frame of the entire fixed color space. To practice our method, similar images are retrieved with a similarity measure based on a two-stage weighted distance. Experiments show that, this method has improved simplicity and compactness without the lost of efficiency and robustness.
Technology based driver training is still in its infancy. There is a strong need for improved and integrated computer-based screening tools in order to facilitate objective and reliable driver training assessments. Th...
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Technology based driver training is still in its infancy. There is a strong need for improved and integrated computer-based screening tools in order to facilitate objective and reliable driver training assessments. This paper describes a system that analyses videos of driving sessions collected by on-board Web-cameras. The system detects and tracks lane markings in order to estimate the relative position of the vehicle with respect to its lane. The system is computationally efficient as it exploits fully the off-line nature of the data. The analysis of the video recording is performed in reverse temporal order. The benefits of this approach compared to the forward analysis traditionally used are an improved robustness and a lower computational cost
Compression and decompression of volume data is gaining increasing importance, especially with wide use of volume visualization techniques in distributed environments, Hitherto researchers have used direct extensions ...
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ISBN:
(纸本)081942434X
Compression and decompression of volume data is gaining increasing importance, especially with wide use of volume visualization techniques in distributed environments, Hitherto researchers have used direct extensions of still-image and video compression techniques to volume data, but these are associated with limitations of scalar quantization, We present an Orientation Band (ORE) technique for volume compression that exploits orientation information, and consequently preserves structure within the data. The ORB scheme uses a hybrid of lossless (pyramidal) and lossy (vector quantized) techniques to compress within user-specified space and error bounds. The resulting compressed volumes are suited for progressive network transmission and for fast volume rendering.
The proceedings contain 174 papers. The topics discussed include: modeling of stereoscopic images in 3D environmental art design;a path planning method for unmanned surface vehicles based on Riemannian geometry;latera...
ISBN:
(纸本)9781510663350
The proceedings contain 174 papers. The topics discussed include: modeling of stereoscopic images in 3D environmental art design;a path planning method for unmanned surface vehicles based on Riemannian geometry;lateral stability analysis and equivalent circuit simulation of double-axis bogie;fine-grained insulator defect detection method based on vision-transformer;the optimal path of new media city image communication strategy based on data mining technology;research on target grid investment optimization technology of medium- and low-voltage distribution network based on improved genetic algorithm;construction of multi-variety combination trading model for electricity market;prediction of highway pavement performance based on combined model;research on denoising of skinned point cloud based on multi-feature point parameter weight optimization;electricity retail market package decision model based on electricity consumption characteristics;and implementation and visualization of weighted A-star algorithm and bidirectional weighted A-star algorithm under large-scale road network.
Comparing to traditional text/table ground information representation and graphics workstation, the 3D visualization of Airport Ground Information System (AGI-VR system) is PC-based and exploits the advent of modern P...
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ISBN:
(纸本)1565552687
Comparing to traditional text/table ground information representation and graphics workstation, the 3D visualization of Airport Ground Information System (AGI-VR system) is PC-based and exploits the advent of modern PC-based 3D real-time computer image generation (CIG) technology. It converts dynamic and complex airport ground information, including aircraft type, airline, arrival/departure time, flight number, source/destination, berthing bay and all kinds of building such as tower, meteorological observatory, runway, light, etc., into real-time, realistic visual representation. This can give the ground staff intuitive information about airport ground state and these states are updated via real-time database. This method makes the ground information under a real-time supervision, management and scheduling. More than 1 year no-error running in the part of ground information in Beijing Capital international Airport (BCIA) proves that applying VR technology into airport ground information management is a more efficient, more effective and more economic (3E) strategy than traditional text-based database query system and should extend to all around airport system as well as ground information.
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