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检索条件"主题词=Software Algorithms"

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Automatic Parametrization of Edge Detection algorithms

Automatic Parametrization of Edge Detection Algorithms

引用

International Symposium on Intelligent Systems and Informatics (SISY)

作者： Laszlo Csink Szabolcs Sergyan Institute of Software Technology Budapest Tech Budapest Hungary

Selecting the right parameters is a vital issue in image processing algorithms. Normally this is done after experimenting with a limited number of pictures, and then one just hopes that the parameters will work adequately with all the other images. Experimenting with the parameters, however, consumes precious human time. In this paper we present a technique that aims at finding the right parametrization of edge detection algorithms by comparing several approaches and deciding on the optimal one automatically.

关键词： Image edge detection software algorithms Image processing Testing Image databases Intelligent systems Informatics Humans Optimization methods Information retrieval

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Hardware Accelerator for Object Detection using Tiny YOLO-v3

Hardware Accelerator for Object Detection using Tiny YOLO-v3

引用

IEEE India Conference (INDICON)

作者： Manan Sharma R Rahul S Madhusudan S.P. Deepu David S Sumam NITK Surathkal Mangalore Karnataka India

ISBN: (纸本)9781665441766

For applications that require object detection to be performed in real-time, this paper presents a custom hardware accelerator, implementing state of the art Tiny YOLO-v3 algorithm. The proposed architecture achieves a reasonable tradeoff between the speed of computation (measured in frames per second or FPS) and the hardware resources required. Each CNN layer is pipelined and parameterized to make the complete design re-configurable. The proposed hardware accelerator was synthesized using the SCL(Semi-Conductor Laboratory, India) 180 nm CMOS process and also using Vivado Xilinx software with Virtex Ultrascale+ FPGA as the target device. The pipelined architecture, along with other architectural novelties, provided a higher frame-rate of 32.1 FPS and a performance of 166.4 GOPS at 200 MHz clock frequency.

关键词： software algorithms Object detection Computer architecture Throughput software Real-time systems Convolutional neural networks

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An Improved Bounding Cube Algorithm in Wireless Sensor Network

An Improved Bounding Cube Algorithm in Wireless Sensor Netwo...

引用

International Conference on Computer and Management (CAMAN)

作者： Pengpeng Lin Zhidong Wu Tingting Wang Hui Cao Department School of Software Engineering Beijing Jiaotong University Beijing China

The Bounding Cube algorithm used in wireless sensor networks depends greatly on the known nodes. When the number of known nodes is limited, the communication range of the unknown node is only decided by the intersection range of known nodes, which will reduce the positioning precision. This paper presents an improved algorithm. After acquiring the communication range of unknown nodes, you can use it to update the communication range of the other unknown nodes. By constantly updating the range, the unknown nodes will be gradually reduced. Thus, with the limited number of known nodes, we can take advantage of the unknown nodes to reduce the estimated communication range of other unknown nodes and improve the location accuracy.

关键词： Wireless sensor networks Accuracy Algorithm design and analysis software algorithms Zigbee Wireless communication Equations

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Research on Deployment Methods of SDN Heterogeneous Controllers in Cloud-network Collaboration

Research on Deployment Methods of SDN Heterogeneous Controll...

引用

Information and Communication Engineering (JCICE), International Joint Conference on

作者： Jin Li Zhichao Lin Zhuangguan Yang Gang An Qi Sun Shenyang Aerospace University Shenyang China Liaoning Planning and Design Institute of Posts and Telecommunications Shenyang China State Grid Liaoning Electric Power Co. Ltd. Information and Communication Branch Shenyang China

ISBN: (数字)9798350388725

ISBN: (纸本)9798350388732

Aiming at the problem that the access network, backbone network and data center cloud heterogeneous controllers cannot communicate with each other in cloud network collaboration under the software Defined Network (SDN) architecture, this paper introduces a super controller into the control layer of the SDN architecture to communicate with each domain. Heterogeneous controllers are interconnected to control the access network, backbone network and data center cloud to achieve cloud-network collaboration. And by improving the clustering algorithm, the optimal position of each controller in the SDN architecture is obtained. First, by abstracting the network topology into an undirected graph, the multi-controller deployment problem in the network is abstracted into the shortest path problem of the undirected graph, and the cloud network collaboration and the location of the deployed switches are modeled, and the K-means algorithm is used to determine the domain. The initial location of the controller and the switch that the domain controller is responsible for connecting to. An appropriate fitness function is formulated, considering the minimization of latency, while the optimal placements of domain controllers and super controllers are determined through the utilization of the particle swarm optimization (PSO) algorithm.

关键词： Shortest path problem Data centers software algorithms Collaboration Clustering algorithms Computer architecture Delays software defined networking Particle swarm optimization Propagation delay

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Mars odyssey aerobraking: the first step towards autonomous aerobraking operations

Mars odyssey aerobraking: the first step towards autonomous ...

引用

IEEE Conference on Aerospace

作者： M.A. Johnson W.H. Willcockson Lockheed Martin Space Systems Company CO USA

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Testing of SLAM methods in the Matlab environment

Testing of SLAM methods in the Matlab environment

引用

International Symposium on Applied Machine Intelligence and Informatics (SAMI)

作者： Michal Mihálik Marián Hruboš Aleš Janota Faculty of Electrical Engineering and Information Technology University of Zilina Zilina Slovak Republic University of Faculty of Electrical Engineering and Information Technology Zilina Slovak Republic

ISBN: (数字)9781728180533

ISBN: (纸本)9781728180540

This work is focused on establishing TCP / IP connection between SICK LD-OEM 1000 laser scanner and PC. Space measurements will be made using this connection. Then we analyze the data and process it. The data is processed by the Monte Carlo Simultaneous localization and mapping algorithm, which will be used to compile a map of the scanned space. This work is based on MATLAB software environment.

关键词： Simultaneous localization and mapping Monte Carlo methods software algorithms Measurement by laser beam software Matlab Testing

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A Weight Method of Decoding the Binary BCH Code

A Weight Method of Decoding the Binary BCH Code

引用

International Conference on Intelligent Systems Design and Applications (ISDA)

作者： H. P. Lee H. C. Chang T. C. Lin T. K. Truong Department of Information Engineering I-Shou University Kaohsiung Taiwan

In this paper, a weight method with using a reduced lookup table is developed to decode the three possible errors in (15, 5, 7) and (31, 16, 7) BCH code. The data in the reduced lookup table consists of syndrome patterns and corresponding error patterns which only have one and two errors occurred in the message block of the received codeword. The proposed algorithm makes use of the properties of cyclic codes, weight of syndrome, and the reduced lookup table. It often results in a significant reduction in the memory requirements comparing to the traditional lookup table or other algebraic decoding methods. This weight decoding algorithm together with a reduced lookup table makes a fast and low complexity of the table lookup decoding algorithm. Moreover, a computer simulation shows that such a novel method is a much faster algorithm in software than the traditional full lookup table searching algorithm.

关键词： Decoding Table lookup Computer errors Error correction codes Polynomials Arithmetic Data communication Error probability Computer simulation software algorithms

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Back Propagation Neural Network for Short-term Electricity Load Forecasting with Weather Features

Back Propagation Neural Network for Short-term Electricity L...

引用

International Conference on Computational Intelligence and Natural Computing, CINC

作者： Yong Wang Dawu Gu Jianping Xu Jing Li Department of Computer Science and Technology Shanghai University of Electrical Power Shanghai China Department of computer Science and Engineering Shanghai Jiaotong University Shanghai China

In this paper, we expand previous work and present an accurate electricity load forecasting algorithm with back propagation neural networks. It contributes to short-term electricity load forecast methodology with neural network with weather feature such as max centigrade, min centigrade and weather types. The original electricity load is from shanghai district, which is composed of original every 5 minutes load records. Through the data transform the every hour data average 12 original records and weather feature become double value. After training and simulation, the prediction errors fit for the application needs. The algorithm besides other algorithms has been used in electricity load forecasting software. Many results confirm that the proposed method is capable of forecasting load efficiently.

关键词： Neural networks Load forecasting Weather forecasting Predictive models Artificial neural networks Computer science software algorithms Power system management Power generation Economic forecasting

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Evaluating DVFS Scheduling algorithms on Real Hardware

Evaluating DVFS Scheduling Algorithms on Real Hardware

引用

International Conference on Parallel Processing Workshops (ICPPW)

作者： Andrew Zaliwski Stefan Lankes Oliver Sinnen Department of Electrical and Computer Engineering University of Auckland Auckland New Zealand Institute of Automation of Complex Power Systems RWTH Aachen University Aachen Germany

ISBN: (纸本)9781509028269

In modern processors, energy savings are achieved using dynamic voltage and frequency scaling (DVFS). For task scheduling, where a task graph representing a program is allocated and ordered on multiple processors, DVFS has been employed to reduce the energy consumption of the generated schedules, hence running the processors at heterogeneous speeds A prominent class of energy-efficient scheduling algorithms is slack reclamation algorithms, which try to use idle times (slack) to slow down processor speed to save energy. Several algorithms have been proposed and under the assumed system model they can achieve considerable energy savings. However, the question arises, how realistic and accurate these algorithms and models are when implemented and executed on real hardware. Can one achieve the promised energy savings? This paper proposes a methodology to investigate these questions and performs a first experimental evaluation of selected slack reclamation algorithms. Using schedules created by three scheduling algorithms for a set of task graphs, we generate code and execute it on a small parallel system. We measure the power consumption and compare the results between the algorithms and relate them to the expected values.

关键词： Program processors Schedules Scheduling algorithms Hardware software algorithms Energy consumption Scheduling

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Fast implementation of a l∞- l/1 penalized sparse representations algorithm: applications in image denoising and coding

Fast implementation of a l∞- l/1 penalized sparse represent...

引用

Asilomar Conference on Signals, Systems & Computers

作者： Jean-Jacques Fuchs Christine Guillemot IRISA/INRIA-Université de Rennes 1 Rennes France

Sparse representation techniques have become an important tool in image processing in recent years, for coding, de-noising and in-painting purposes, for instance. They generally rely on an lscr 2 -lscr 1 penalized criterion and fast algorithms have been proposed to speed up the applications. We propose to replace the lscr 2 -part of the criterion, which has been chosen both for its easy implementation and its relation to the PSNR quality measure, by a lscr ∞ -part. We present a new fast way to minimize a lscr ∞ - lscr 1 penalized criterion and assess its potential benefits for image De-noising and coding.

关键词： Image coding Image reconstruction Signal processing algorithms Image denoising Matching pursuit algorithms Image processing PSNR Video coding software algorithms Pursuit algorithms

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