In this paper, we present a visual tracking approach based on Dynamic Neural Fields (DNFs) in video images. To perform a task like tracking, a real time object detection application is applied first to identify the mo...
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ISBN:
(纸本)9781538605516
In this paper, we present a visual tracking approach based on Dynamic Neural Fields (DNFs) in video images. To perform a task like tracking, a real time object detection application is applied first to identify the most salient regions or objects in input visual scene by optimizing a visual bottom-up attention model. The output saliency map is then used as input for DNFs with its ability to track objects and object tracking results give only the most active peak position that represents the position of the tracked object. To allow this proposed approach to be applied on mobile robots and vehicles, we are motivated to present a new homogeneous multistage architecture that supports the proposed algorithm. More specifically, the parallel pipelined architecture is composed of several computational stages where each one connected in a hypercube topology through a communication links. Consequently, we especially designed and implemented SCM-SCComCM skeleton as an efficient parallel programming model for the proposed application. The experimental results show that the proposed parallel architecture allow us to implement large DNF architectures that can run in real time and be used in real world applications.
In order to improve the accuracy of sentiment classification of online product reviews, a model for sentiment analysis of unbalanced reviews is proposed. Firstly, the LDA model is used to balance the original review t...
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distributed query processing (DQP) has been widely used in data intensive applications where data of relevance to users are stored at multiple locations. This paper argues: (i) that DQP can be important in the Grid, a...
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distributed query processing (DQP) has been widely used in data intensive applications where data of relevance to users are stored at multiple locations. This paper argues: (i) that DQP can be important in the Grid, as a means of providing high-level, declarative languages for integrating data access and analysis;and (ii) that the Grid provides resource management facilities that are useful to developers of DQP systems. As well as discussing and illustrating how DQP technologies can be deployed within the Grid, the paper describes Polar*, a prototype implementation of a DQP system running over Globus. Polar* can handle complex data by adopting the ODMG object model and its query language OQL, which supports the invocation of user-defined operations. The Globus components are accessed through the MPICH-G interface rather than in a lower level way. A case study from bioinformatics is used throughout the paper, to show the benefits of the approach.
Knowledge that is needed during the design of a product is scattered among various systems containing diverse types of information. To integrate those information resources with the benefit of contextual augmentation ...
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ISBN:
(纸本)9781424450824
Knowledge that is needed during the design of a product is scattered among various systems containing diverse types of information. To integrate those information resources with the benefit of contextual augmentation and aggregation, meta-concepts are introduced that span across multiple information systems. A guiding instance is used to govern and validate the interactions between the information systems, which leads to virtualized information in a distributed environment. The necessary coverage of various implications for the content leads to a centralized module that controls the knowledge management across the distributed resources. Aspects as search and maintenance and the problem of outdated, contradicting and wrong information is addressed, while keeping the sovereignty of the individual systems intact. The presented approach relies on today's high performance computing environments that allows the alignment and strong comparison of multi parallel information resources.
Middleware products have emerged to provide interoperability for client/server system components via 'gateways,' which map the APIs, data manipulation languages and database wire protocols of these components....
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Middleware products have emerged to provide interoperability for client/server system components via 'gateways,' which map the APIs, data manipulation languages and database wire protocols of these components. The ease-of-use and performance characteristics of the middleware model have also begun to change, as well as its role. Middleware is being used for applications outside of its traditional regime of query-only, decision support. Customer requirements are extending its use into new areas of enterprise computing. These, and other middleware trends are discussed.
Data movement between memory subsystem and processor unit is a crippling performance and energy bottleneck for data-intensive applications. Near Memory processing (NMP) is a promising solution to alleviate the data mo...
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ISBN:
(纸本)9781665414555
Data movement between memory subsystem and processor unit is a crippling performance and energy bottleneck for data-intensive applications. Near Memory processing (NMP) is a promising solution to alleviate the data movement bottleneck. The introduction of 3D-stacked memories and more importantly hybrid memory systems enable the long-wished NMP capability. This work explores the feasibility and efficacy of having NMP on the hybrid memory system for a given set of applications. In this paper, we first redefine a set of NMP-centric performance metrics in order to analyze the efficacy of a given processing unit. Leveraging the proposed metrics, we characterize various sets of applications to assess the suitability of a processing unit in terms of performance. Specifically, in this work we motivate the efficiency of NMP subsystems to process memory-intensive applications when 3D-NVM technologies are employed.
Mutual exclusion is a fundamental problem in concurrent, parallel, and distributedprocessing systems. In this paper we present an efficient algorithm to solve mutual exclusion problem. The algorithm is a modification...
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ISBN:
(纸本)1932415262
Mutual exclusion is a fundamental problem in concurrent, parallel, and distributedprocessing systems. In this paper we present an efficient algorithm to solve mutual exclusion problem. The algorithm is a modification of a popular algorithm. Our modifications are simple and hence preserves the simplicity of the original algorithm almost intact.
Recent studies showed that single-machine graph processing systems can be as highly competitive as cluster-based approaches on large-scale problems. While several out-of-core graph processing systems and computation m...
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ISBN:
(纸本)9781538621295
Recent studies showed that single-machine graph processing systems can be as highly competitive as cluster-based approaches on large-scale problems. While several out-of-core graph processing systems and computation models have been proposed, the high disk I/O overhead could significantly reduce performance in many practical cases. In this paper, we propose GraphMP to tackle big graph analytics on a single machine. GraphMP achieves low disk I/O overhead with three techniques. First, we design a vertex-centric sliding window (VSW) computation model to avoid reading and writing vertices on disk. Second, we propose a selective scheduling method to skip loading and processing unnecessary edge shards on disk. Third, we use a compressed edge cache mechanism to fully utilize the available memory of a machine to reduce the amount of disk accesses for edges. Extensive evaluations have shown that GraphMP could outperform state-of-the-art systems such as GraphChi, X-Stream and GridGraph by 31.6x, 54.5x and 23.1x respectively, when running popular graph applications on a billion-vertex graph.
We have developed an automatic camera control system for distance education. The system can calculate the 3D position and orientation of a marker by using the ARToolkit library, which is a software library for buildin...
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ISBN:
(纸本)0780389328
We have developed an automatic camera control system for distance education. The system can calculate the 3D position and orientation of a marker by using the ARToolkit library, which is a software library for building augmented reality applications. It can track a target indicated by the visual marker. According to the 3D position and orientation of the marker that is recognized, the system controls a pan/tilt/zoom video camera to track a target indicated by the 3D position and orientation of the recognized marker. Our system has functions such as marker prioritization, 3D marker offsets, and automatic position reset. These functions can alleviate the workload of lecturers who conduct lectures independently. Our system is based on distributedprocessing through IP multicasting, and flexibly supports various hardware configurations.
In this work, we develop a target coverage-aware clustering algorithm for directional sensor networks, namely TRACE, that enhances the network lifetime. The TRACE nodes exploit single-hop neighborhood information only...
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ISBN:
(纸本)9781538637906
In this work, we develop a target coverage-aware clustering algorithm for directional sensor networks, namely TRACE, that enhances the network lifetime. The TRACE nodes exploit single-hop neighborhood information only to elect cluster heads (CHs) and gateways. Thus, the TRACE is a fully distributed and light-weight clustering algorithm. The TRACE CHs greedily maximize the number of targets covered by as minimum number of sensor nodes as possible. The performances of the proposed TRACE system are studied on Network Simulator version 3 (ns- 3), and the results show that, it outperforms a state-of-the-art- work.
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