Support for video transmission is rapidly becoming a common requirement. Video coding schemes such as H.26L are combined with multilayer multicast protocols such as SPLIT to improve the quality of video received at th...
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ISBN:
(纸本)088986411X
Support for video transmission is rapidly becoming a common requirement. Video coding schemes such as H.26L are combined with multilayer multicast protocols such as SPLIT to improve the quality of video received at the receiver. In this paper, we built a simulation system using a modified version of JVT (Joint Video Team) encoding / decoding software package and Network Simulator NS-2, to evaluate H.26L video transmission over SPLIT. System performance was observed in terms of Loss Ratio, Video Jitter, throughput and PSNR for quality of the transmitted video.
Stock market prediction is a complex and tedious task that involves the processing of large amounts of data, that are stored in ever growing databases. The vacillating nature of the stock market requires the use of da...
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ISBN:
(纸本)088986375X
Stock market prediction is a complex and tedious task that involves the processing of large amounts of data, that are stored in ever growing databases. The vacillating nature of the stock market requires the use of data mining techniques like clustering for stock market analysis and prediction. Genetic algorithms and neural networks have the ability to handle complex data and are immune to noise in the input. In this paper, we propose an algorithm Evolutionary Approach to Self Organizing Map(EASOM) to cluster stock market data. Genetic algorithms are used to train the Kohonen network for better and effective prediction. Fuzzy logic is used to fix learning rate for faster convergence. The algorithm was tested on real stock market data of companies like Intel, General Motors, Infosys, Wipro, Microsoft, IBM, etc. The algorithm consistently outperformed regression model, backpropagation algorithm and Kohonen network in predicting the stock market values.
A number of recent applications have been built on distributed hash tables (DHTs) based overlay networks. Almost all DHT-based schemes employ a tight deterministic data placement and ID mapping schemes. This feature o...
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The paper addresses the dynamic scheduling of parallel jobs with quality-of-service demands (soft-deadlines) in multiclusters and grids. Three performance metrics (over-deadline, makespan and idle-time) are combined w...
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The paper addresses the dynamic scheduling of parallel jobs with quality-of-service demands (soft-deadlines) in multiclusters and grids. Three performance metrics (over-deadline, makespan and idle-time) are combined with variable weights to evaluate the scheduling performance. These three metrics are used to measure the extent to which jobs comply with their QoS demands, the resource throughput and the resource utilisation. Therefore, clusters situated in different administrative organisations can utilise different weight combinations to represent their different performance requirements. Two levels of performance optimisation are applied in the multicluster. At the multicluster level, a scheduler (which we call MUSCLE) allocates parallel jobs with high packing potential to the same cluster;MUSCLE also takes the jobs' QoS requirements into account and employs a heuristic to allocate suitable workloads to each cluster to balance the overall system performance. At the local cluster level, an existing workload manager, called TITAN, utilises a genetic algorithm to further improve the scheduling performance of the jobs sent by MUSCLE. Extensive experimental studies are conducted to verify the effectiveness of the scheduling mechanism in MUSCLE. The results show that, compared with traditional distributed workload allocation policies, the comprehensive scheduling performance (in terms of over-deadline, makespan and idle-time) of parallel jobs is significantly improved across the multicluster.
We investigate the implications of a unified spatio-chromatic basis for image compression and reconstruction. Different adaptive and general methods (PCA, ICA, and DCT) are applied to generate bases. While typically s...
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We investigate the implications of a unified spatio-chromatic basis for image compression and reconstruction. Different adaptive and general methods (PCA, ICA, and DCT) are applied to generate bases. While typically such bases with spatial extent are investigated in terms of their correspondence to human visual perception, we are interested in their applicability to multimedia encoding. The performance of the extracted spatio-chromatic spatial patch bases is evaluated in terms of quality of reconstruction with respect to their potential for data compression. The results discussed here are intended to provide another path towards perceptually-based encoding of visual data. This leads to a deeper understanding of the role played by chromatic features in data reduction.
In this paper, the practical application of some well recognised fuzzy methods and neural networks techniques to modelling marine diesel engine cylinder dynamics using real-time data and expert knowledge has been cons...
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In this paper we propose a communication relay scheme combining the NAT and a user-level proxy to support private IP clusters in Grid environments. Compared with the user-level two-proxy scheme used in PACX-MPI and Fi...
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ISBN:
(纸本)354022114X
In this paper we propose a communication relay scheme combining the NAT and a user-level proxy to support private IP clusters in Grid environments. Compared with the user-level two-proxy scheme used in PACX-MPI and Firewall-enabled MPICH-G, the proposed scheme shows performance improvement in terms of latency and bandwidth between the nodes located in two private IP clusters. Since the proposed scheme is portable and provides high performance, it can be easily applied to any private IP enabled solutions including the private IP enabled MPICH solution for Globus toolkit.
Coreference annotation is annotation of language corpora to indicate wlücti expressions tiave been used to co-specify ttie same discourse entity. Wlien annotations of the same data are collected from two or more ...
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ISBN:
(纸本)2951740816
Coreference annotation is annotation of language corpora to indicate wlücti expressions tiave been used to co-specify ttie same discourse entity. Wlien annotations of the same data are collected from two or more coders, the reliability of the data may need to be quantified. Two obstacles have stood in the way of applying reliability metrics: incommensurate units across annotations, and lack of a convenient representation of the coding values. Given N coders and M coding units, reliability is computed from an N-by-M matrix that records the value assigned to unit Mj by coder Nj,. The solution I present accommodates a wide range of coding choices for the annotator, while preserving the same units across codings. As a consequence, it permits a straightforward application of reliability measurement. In addition, in coreference annotation, disagreements can be complete or partial so I incorporate a distance metric to scale disagreements. This method has also been applied to a quite distinct coding task, namely semantic annotation of summaries.
The behaviours of reactive systems are characterized by events, conditions, actions, and information flows. Complex reactive systems further exhibit hierarchy and concurrency. Since there usually exist numerous behavi...
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Quantiles on response times, given by probability distribution functions, are a critical metric for quality of service in computer networks as well as many other logistical systems. We derive explicit expressions in t...
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