21998790
NetTopo: Beyond Simulator and Visualizer for Wireless Sensor Networks
Deploying real WSN testbed provides a realistic testing environment, and allows users to get more accurate test results. However, deploying real testbed is highly constrained by the available budget when the test needs a large scale WSN environment. By leveraging the advantages of both simulators and real testbed, an approach that integrates simulation environment and testbed can effectively solve both scalability and accuracy issues. In this paper, we present NetTopo for providing both simulation and visualization functions to assist the investigation of algorithms in WSNs. Two case studies are described to prove the effectiveness of NetTopo.
17681650
Cross-Layer Optimized Data Gathering in Wireless Multimedia Sensor Networks
Using multimedia sensor nodes can enhance the capability of wireless sensor networks (WSNs) for event description. In some scenarios, e.g., an erupting volcano, the WSNs are not deployed to work for long time. Instead, the WSNs aim to deliver continuous and reliable multimedia data as much as possible within an expected lifetime. In this paper, we focus on the efficient multimedia data gathering in WSNs within an expected lifetime. A distributed transmission Radius and data generation Rate Adjustment (RRA) scheme is proposed based on a cross-layer design, considering the interaction among physical, network and transport layers. Simulation results show that the proposed RRA strategy can effectively enhance the data gathering performance in wireless multimedia sensor networks (WMSNs) by dynamically adjusting the transmission radius of sensor nodes and the data generation rate of source nodes.
18306747
Visualizing simulation and testbed of wireless sensor networks with NetTopo
In this paper, we present an integrated framework called NetTopo for providing both simulation and visualization functions to assist the investigation of algorithms in WSNs. NetTopo provides a common virtual WSN for the purpose of interaction between sensor devices and simulated virtual nodes. Two case studies are described to prove the effectiveness of NetTopo.
17047961
Image annotations by combining multiple evidence & wordNet
The development of technology generates huge amounts of non-textual information, such as images. An efficient image annotation and retrieval system is highly desired. Clustering algorithms make it possible to represent visual features of images with finite symbols. Based on this, many statistical models, which analyze correspondence between visual features and words and discover hidden semantics, have been published. These models improve the annotation and retrieval of large image databases. However, current state of the art including our previous work produces too many irrelevant keywords for images during annotation. In this paper, we propose a novel approach that augments the classical model with generic knowledge-based, WordNet. Our novel approach strives to prune irrelevant keywords by the usage of WordNet. To identify irrelevant keywords, we investigate various semantic similarity measures between keywords and finally fuse outcomes of all these measures together to make a final decision using Dempster-Shafer evidence combination. We have implemented various models to link visual tokens with keywords based on knowledge-based, WordNet and evaluated performance using precision, and recall using benchmark dataset. The results show that by augmenting knowledge-based with classical model we can improve annotation accuracy by removing irrelevant keywords.
42292334
An Initial Framework for Collaboration-Based Component Selection
15085849
A novel framework for SVM-based image retrieval on large databases
In this paper, a novel framework is proposed to deliver a fast, robust, and generally applicable SVM-based image retrieval for large databases. A quick test scheme is developed, and on-line kernel learning is employed to realize it after analyzing the relationship between them. Then an upper bound on maximum test scope is derived to speed up testing further. Also, the general applicability is well maintained because this framework does not need a kernel function and index structure to be pre-defined. Taking the advantages of this framework, more sophisticated SVM can be used to improve retrieval performance while keeping short response time. Experimental results on large image databases verify the effectiveness and efficiency of the proposed framework.
45698420
An Approximate Solution for Queuing Network Models of a Burst-Level Traffic Control Scheme in ATM WAN
Abstract This paper proposes a closed queuing network model for a burst-level traffic control scheme in ATM WAN environments, and explores solution techniques for this model. An approximate solution technique is developed to solve the closed queuing networks with multiple chains, chain-dependent service times, MSFIFO (multiple servers first-in first-out) queues, and simultaneous resource possession. Results of this study show that, with respect to the subnetwork algorithm of Souza e Silva and Muntz [Approximate solution for a class of non-product form queuing network models, Performance Evaluation (7) (1987) 221–242], our algorithm is advantageous, because (1) it is applicable to queuing network models with nested first-allocated/first-released passive resources; (2) it greatly reduces the complexity of the subnetwork algorithm by not decomposing the network and representing the complements; (3) it achieves higher accuracy and provides more reliable conservative estimates; and (4) it is easy to understand due to its straightforward interpretation.
18857320
Chinese Deterministic Dependency Parser Considering Prepositional Phrase
It's proved that Nivre’s algorithm causes some errors for determining the right-side dependents. In Chinese, only verbs and prepositions have right-side dependents. Jin proposed a two-phase parser to solve verbs' problems. In this paper, we present a method to solve prepositions 'problems. Experimental results show that our approach achieves higher accuracy than previous approach.