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3rd international conference on Information Science, parallel and distributed Systems, ISPDS 2022

作者： Li, Fei School of Computer Science and Technology Shandong Technology and Business University Shandong Yantai264005 China

ISBN: (数字)9781665487474

ISBN: (纸本)9781665487474

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 text set, and then the word vector model and convolution neural network are combined to construct the review text vectorization feature extraction process to obtain the word feature vector, which is used as the input matrix of the balanced review set. Finally, the BiLSTM algorithm is used for sentiment classification to obtain product reviews of positive and negative sentiment categories. The results show that LDA sampling unbalance processing method is a high accuracy unbalanced text processing method. BiLSTM algorithm has better effect of sentiment classification than other deep learning algorithms. CNN-BiLSTM model based on LDA unbalance processing obtains the optimal model performance evaluation index value in the comparative experiment of different sentiment classification models, which verifies the advantages and effectiveness of the model and effectively realizes sentiment analysis on unbalanced review texts. © 2022 IEEE.

关键词： processing

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Mapping of finite-element grids onto parallel computers using neural networks 3

Mapping of finite-element grids onto parallel computers usin...

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3rd international conference on Algorithms and Architectures for parallel processing, ICA3PP 1997

作者： Tan, R.S. Lakshmi Narasimhan, V. Center for Reliable Computing Department of Electrical Engineering Stanford University StanfordCA94305 United States Defence Science and Technology Organisation PO Box 1500 SA5108 Australia Department of Electrical Engineering University of Queensland QLD4072 Australia Department of Computer Science University of South Australia SA5001 Australia

ISBN: (纸本)0780342291

In this paper, LSOM (Load-balancing Self-Organizing Map), a neural network based on Kohonen's self-organizing map is proposed for the problem of mapping finite-element method (FEM) grids to distributed-memory parallel computers with mesh interconnection networks. The rough global ordering produced by LSOM is then combined with the local refinement Kernighan-Lin algorithm (called LSOM-KL) to obtain the solution. LSOM-KL obtained a load imbalance of less than 0.1% and a low number of hops, comparable to results obtained with commonly used recursive bisection methods. © 1997 IEEE.

关键词： Self organizing maps

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SIMPil: An OE integrated SIMD architecture for focal plane processing applications

SIMPil: An OE integrated SIMD architecture for focal plane p...

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Proceedings of the 1996 3rd international conference on Massively parallel processing Using Optical Interconnections, MPPOI'96

作者： Cat, Huy H. Gentile, Antonio Eble, John C. Lee, Myunghee Vendier, Olivier Joo, Young Joong Wills, D.Scott Brooke, Martin Jokerst, Nan Marie Brown, April S. Georgia Inst of Technology Atlanta United States

Focal plane processing applications present a growing computing need for portable telecomputing and videoputing systems. This paper demonstrates the integration of digital processing, analog interface circuitry, and thin film OE devices into a compact computing package. The SIMPil architecture provides a programmable, silicon efficient SIMD processor for effective execution of early image processing applications such as edge detection, convolution, and compression. Results from a demonstration SIMPil node are presented including its microarchitecture, and performance on image processing applications.

关键词： parallel processing systems

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GPU-Based parallel Genetic Algorithm for Increasing the Coverage of WSNs 23

GPU-Based Parallel Genetic Algorithm for Increasing the Cove...

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23rd IEEE international conference on parallel and distributed Systems (ICPADS)

作者： Zorlu, Ozan Dilek, Selma Ozsoy, Adnan Turkish Natl Def Univ Comp Engn Dept Istanbul Turkey Hacettepe Univ Comp Engn Dept Ankara Turkey

ISBN: (纸本)9781538621295

Advances in wireless communication, digital systems and micro-electronic-mechanical system technologies led to the development of wireless sensor networks (WSNs) which are used in various critical real-world applications. The fact that WSNs are low cost and eliminate the need for infrastructure led to their replacing traditional networks in area/event monitoring and tracking applications. WSNs consist of small and resource-limited sensor nodes, due to which several problems arise in the WSN development process. One of these problems is coverage. Providing the best coverage with a minimum number of sensor nodes is an NP-hard problem known as the maximum coverage sensor deployment problem (MCSDP). Genetic Algorithms (GAs) have been proved effective in solving optimization problems in many different disciplines (increasing coverage in WSNs, image processing, route planning, etc.). In this study, a GPU-based parallel GA solution for increasing the coverage of a given homogeneous WSN topology in a 2-D Euclidean area is proposed which is the first time this technique is used and parallelized on GPUs to the best of our knowledge. Finally, performance results of the proposed algorithm are compared to the previous work with the emphasis on the achieved performance improvement.

关键词： GPU-based parallel genetic algorithm wireless sensor networks maximum coverage sensor deployment problem

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An Architecture for a Knowledge Augmented Integral View across Multiple Information Resources

An Architecture for a Knowledge Augmented Integral View acro...

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3rd international conference on Advanced Engineering Computing and applications in Sciences

作者： Opletal, Sascha Roller, Dieter Zehtaban, Leila Univ Stuttgart Inst Comp Aided Prod Dev Syst Stuttgart Germany

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.

关键词： knowledge management parallel systems virtual information CAD

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2005 3rd IEEE international conference on Industrial Informatics (INDIN)

2005 3rd IEEE International Conference on Industrial Informa...

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2005 3rd IEEE international conference on Industrial Informatics, INDIN

ISBN: (纸本)0780390946

The proceedings contain 142 papers. The topics discussed include: real-time middleware for the requirements of distributed process control;mobile information processing incorporating location-based services;architecture for automation system development based on IEC61499 standard;function Block applications based on an object oriented middleware;the JAKOBI architecture - A distributed dynamic execution environment in Java;development of a data pre-processing scheme and pluggable application modules for an intelligent equipment prognostics system;integrative approach of Web services and universal plug and play within an AV scenario;ontology-based context management components for service oriented architectures on wearable devices;and automated runtime management of embedded service systems based on design-time modeling and model transformation.

关键词： Industrial management

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distributed query processing on the grid

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international JOURNAL OF HIGH PERFORMANCE COMPUTING applications 2003年第4期17卷 353-367页

作者： Smith, J Gounaris, A Watson, P Paton, NW Fernandes, AAA Sakellariou, R Newcastle Univ Dept Comp Sci EPSRC Project High Performance Query Proc Grid Newcastle Upon Tyne NE1 7RU Tyne & Wear England Univ Manchester Dept Comp Sci Manchester M13 9PL Lancs England

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.

关键词： grid computing distributed query processing parallel query processing user-defined operation globus MPI ODMG

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Efficient Lock-Free Work-stealing Iterators for Data-parallel Collections 23

Efficient Lock-Free Work-stealing Iterators for Data-Paralle...

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23rd Euromicro international conference on parallel, distributed, and Network-Based processing (PDP)

作者： Prokopec, Aleksandar Petrashko, Dmitry Odersky, Martin Ecole Polytech Fed Lausanne LAMP CH-1015 Lausanne Switzerland

ISBN: (纸本)9781479984909

High-level data-structures are an important foundation for most applications. With the rise of multicores, there is a trend of supporting data-parallel collection operations in general purpose programming languages. However, these operations often incur high-level abstraction and scheduling penalties. We present a generic data-parallel collections design based on work-stealing for shared-memory architectures that overcomes abstraction penalties through callsite specialization of data-parallel operation instances. Moreover, we introduce work-stealing iterators that allow more fine-grained and efficient work-stealing. By eliminating abstraction penalties and making work-stealing data-structure-aware we achieve several dozen times better performance compared to existing JVM-based approaches.

关键词： data parallelism work-stealing collections callsite specialization domain-specific work-stealing

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distributed automatic camera control system tracking markers for distance education

Distributed automatic camera control system tracking markers...

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3rd international conference on Information Technology - Research and Technology (ITRE 2005)

作者： Osawa, N Asai, K Natl Inst Multimedia Educ Res & Dev Chiba Japan

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 distributed processing through IP multicasting, and flexibly supports various hardware configurations.

关键词： distance education automatic tracking ARToolkit 3D position and orientation multicast communication

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A lightweight distributed processing computer system 3

A lightweight distributed processing computer system

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3rd IEEE international conference on Electronic Technology, Communication and Information, ICETCI 2023

作者： Xu, Zhenpeng Li, Weiwei Yin, Jinyong Automation Research Institute Department of Computer Jiangsu Lianyungang China

ISBN: (纸本)9798350398410

For the needs of real-time parallel processing of critical task and real-time state control in muti-node computing system, a lightweight distributed processing computer mechanism is designed for iterative computing type tasks based on theoretical techniques such as memory computing and distributed computing. Using the feature of distributed collaborative processing, the data is deployed to different nodes to reduce the burden of each node and. To support continuous computational iterations, temporary data for each computation is temporarily stored in memory to reduce the disk IO access time during the iteration. Before the start of the whole task, the transformation relationship between the saved data is defined by generating the run plan graph of this task. In addition to load balancing of processing nodes, a balanced scheduling mechanism of control nodes is introduced to monitor the operation status of each node in real time through load balancing and control the deployment of computation tasks. Tests show that the designed lightweight computing mechanism outperforms the traditional distributed computing mechanism. In addition, the performance outperforms the mainstream memory-based distributed computing mechanism when carrying multiple tasks. © 2023 IEEE.

关键词： Edge computing

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