Software-defined radar has been an active research field for more than ten years. However, the low performance and low scalability of the traditional processing techniques of SDR make it hard to deal with complex rada...
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This paper proposes a distributed processing communication scheme for a real-time network application that provides interactive services for multiple users. In the proposed scheme, the application is processed on a da...
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This paper proposes a distributed processing communication scheme for a real-time network application that provides interactive services for multiple users. In the proposed scheme, the application is processed on a data processing function in the distributed servers. The distributed servers are selected to maximize the number of in-service users as the first priority and to minimize the delay time at in-service users as the second priority. In this scenario such as interactive services, the application must work under the condition that an event occurrence order at the actual time is guaranteed. This leads to delay time on users' communication at wide-area networks. In the proposed scheme, an event occurrence order at the actual time is reproduced in the virtual time defined at each server. We formulate an optimization problem to select a suitable server having the data processing function as an integer linear programming (ILP) problem. The ILP minimizes the number of excluded users because of violation of admissible delay as the first priority and minimizes the delay time for determining the virtual time as the second priority. The numerical results show that the delay time of the proposed scheme is reduced up to 50 percent than that of the conventional scheme.
A new secret-sharing-based e-auction scheme is proposed. distributed bid opening is employed to protect bid privacy. It can achieve all the desired properties for sealed-bid auctions at a reasonable cost. Moreover, at...
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The computational cost in medical image reconstruction and processing is high, so performance improvement is required. We implemented a distributed system based on replicated worker pattern. The JINI technology was us...
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The computational cost in medical image reconstruction and processing is high, so performance improvement is required. We implemented a distributed system based on replicated worker pattern. The JINI technology was used to support a set of distributed services. The system was design and implemented to enable each replicated worker (compute server) to solve any task described by JavaSpaces Entry interface. Each worker can be configured to start as a standalone process or as a screen saver utility. The SaverBeans API was used to automatically build the screen saver code for Windows and Linux platforms. The distributed system was successfully applied to process data for medical image synthesis purposes. The achieved results proved the computational performance increase with limited modification of the original image reconstruction source code.
The Budget-based Neighboring Object Group Query (BR-NOGQ) is a novel type of location-based query that considers both the spatial relationships between objects and the user's budget constraints on experiencing the...
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ISBN:
(数字)9798350394191
ISBN:
(纸本)9798350394207
The Budget-based Neighboring Object Group Query (BR-NOGQ) is a novel type of location-based query that considers both the spatial relationships between objects and the user's budget constraints on experiencing these objects. However, processing a large number of BR-NOGQs concurrently can overload a centralized system, leading to poor performance. To address this issue, this paper focuses on developing a distributed processing technique for answering multiple BR-NOGQs using the MapReduce platform. The proposed approach involves designing a grid structure to manage information about different types of objects and developing a MapReduce-based algorithm for efficient distributed processing of multiple BR-NOGQs. Experimental results using a synthetic dataset demonstrate the scalability and efficiency of the proposed algorithm.
This thesis describes the design and implementation of a distributed processing network of IBM PC compatible computers capable of performing parallel processing tasks. The network is a star cluster local area network,...
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This thesis describes the design and implementation of a distributed processing network of IBM PC compatible computers capable of performing parallel processing tasks. The network is a star cluster local area network, with the central computer controlling the operations of the satellite computers on a sequential basis. The local area network software operates over the computer's standard RS-232C communications ports, and is currently implemented to allow the central computer to operate two satellite computers. processing tasks are dispatched to the satellite computers as programs which run to completion on the satellite computers. Utility programs within the software include file and message transfer to start the programs on the satellite computers and to obtain the output of the remotely executed program, configuration utilities to set the communications port parameters, and windowing utilities for display of information normally presented on the remote computer's display. The program is implemented in Turbo Pascal 4.0 under the MS-DOS operating system, version 3.21.
In this paper, the major advantages of a distributed processing methodology developed in the context of biomedical sensor networks (BSN) are compared to the most usual wireless communication topology architectures dev...
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In this paper, the major advantages of a distributed processing methodology developed in the context of biomedical sensor networks (BSN) are compared to the most usual wireless communication topology architectures developed in the literature. These advantages are highlighted in the context of a distributed fall detection system developed by the authors in terms of more facilities for system personalization to the end user and multimodal functionality in order to extend the biomedical application domain of the system. As the main result, a lower power consumption of the devices pertaining to the system is shown.
Recently the GEMINI Holographic Particle Image Velocimetry (HPIV) system developed in the Laser Flow Diagnostics (LFD) lab at Kansas State University has been successfully applied in volumetric 3D flow velocity measur...
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Recently the GEMINI Holographic Particle Image Velocimetry (HPIV) system developed in the Laser Flow Diagnostics (LFD) lab at Kansas State University has been successfully applied in volumetric 3D flow velocity measurement. Due to the 3D nature of this application, very large computation and communication requirements are imposed. An innovation algorithm, the Concise Cross Correlation (CCC), is employed in the system to extract velocity field from the hologram of the test flows. With CCC we achieved a compression ratio of 10/sup 4/ and a processing speed 1000 times faster than with traditional 3D FFT-based correlation. To further accelerate the processing speed for fully time- and space-resolved measurement, parallel processing is necessary. We present our design for a distributed system supporting this previously unparallelized application, and comment on our experiences implementing a master-slave distributed version of CCC utilizing MPI. Brief experimental results on Gigabit Ethernet and multiprocessor Pentium Xeon systems are given.
This paper introduces a set of rules and guidelines for the implementation of a distributed processing network (DPN) as the basis for a dynamic reconfigurable architecture targeted at improving the performance of micr...
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This paper introduces a set of rules and guidelines for the implementation of a distributed processing network (DPN) as the basis for a dynamic reconfigurable architecture targeted at improving the performance of microprocessor (muP) based systems in computationally intensive application domains. In order to provide the computation gains needed to improve upon the performance of the muP, the DPN architecture offers: 1) A low reconfiguration overhead, 2) A simple control interface, 3) Dynamic resource allocation, 4) Concurrent execution with dynamic reconfiguration, 5) Lower power dissipation than a muP executing the same computation kernel and, 6) Scalability to tackle tasks of varying resource requirements. DPN is currently targeted at realtime computationally intensive application domains such as compression, and signal transformations
As a manufacturer of complex electronic telephone switching systems, we at GTE Automatic Electric have faced a number of problems in manufacturing, particularly in the area of data control and data *** is typical of m...
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As a manufacturer of complex electronic telephone switching systems, we at GTE Automatic Electric have faced a number of problems in manufacturing, particularly in the area of data control and data *** is typical of most electronic products, our products are highly complex and therefore, subject to frequent and often severe circuit changes. Although the number of unique product lines is small, each is relatively large and commonly has subassemblies which are custom engineered. The more general characteristics of our products are:1) Integrated computer for stored program control2) Heavy reliance on logic circuits3) High reliability designed into the product (double, triple redundancy on circuits),4) Analog circuitry on the front-end of the system5) Wired backplane technology and6) Printed Wiring Card technologyWe found that we could better utilize our resources if we could collect highly detailed information on each assembly as it was manufactured. This information would then give the process engineer, design engineer, and quality control engineer the tools to make better decisions concerning our resources. Therefore, the topics of this paper will focus on the technology that we are currently using, highlighting:1) Control System Organization2) IBM System 370 and CAM Data Base3) Manufacturing Data Generation4) On-line Machine Control System5) On-line Data Distribution System6) Interfacing to N/C Machines7) Interfacing to Commercial CNC Systems8) Data Preparation Using TSO
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