检索结果-内蒙古大学图书馆

International conference on Graph algorithms, high performance Implementations and its Applications (ICGHIA)

作者： Sangeetha, M. Arumugam, C. Kumar, K. M. Senthil Shankar, S. Hari CIT Dept Comp Sci & Engn Coimbatore 641014 Tamil Nadu India CIT Dept Mech Engn Coimbatore 641014 Tamil Nadu India KCT Mech Engn Coimbatore 641035 Tamil Nadu India

software development life cycle involves requirement analysis, design, coding, testing and implementation. software Quality is the most important one, since the success of a software Engineer relies on the development of failure free software. One of the main quality factors is reliability. Reliability can improve through software Reliability Models, analyze of reliability data, proper utilization of debuggers, internal quality factors and evaluating the measurement results. Currently, there are several software reliability allocation techniques, but schedule planning and effective resource use are unavailable because they do not support multi-objective optimization. It is an effective software reliability allocation technique that supports multi objective optimization. This approach assists schedule planning as well as effective resources allocation. This paper can aid to increase the effectiveness of resource uses and to establish schedule planning. It will lead to improve software Reliability. (C) 2015 The Authors. Published by Elsevier B.V.

关键词： Reliability Fault Failure Rate Genetic Algorithm Multi-Objective function

来源：评论

学校读者我要写书评

暂无评论

high performance software-only H.261 video compression on PC

High performance software-only H.261 video compression on PC

引用

Digital Video Compression - algorithms and Technologies 1996 conference

作者： Kasperovich, L INST INFORMAT TECHNOL SINGAPORE 0511SINGAPORE

ISBN: (纸本)0819420425

This paper describes an implementation of a software H.261 codec for PC, that takes an advantage of the fast computational algorithms for DCT-based video compression, which have been presented by the author at the February's 1995 SPIE/IS&T meeting. The motivation for developing the H.261 prototype system is to demonstrate a feasibility of real time software- only videoconferencing solution to operate across a wide range of network bandwidth, frame rate, and resolution of the input video. As the bandwidths of current network technology will be increased, the higher frame rate and resolution of video to be transmitted is allowed, that requires, in turn, a software codec to be able to compress pictures of CIF (352 X 288) resolution at up to 30 frame/sec. Running on Pentium 133 MHz PC the codec presented is capable to compress video in CIF format at 21 - 23 frame/sec. This result is comparable to the known hardware-based H.261 solutions, but it doesn't require any specific hardware. The methods to achieve high performance, the program optimization technique for Pentium microprocessor along with the performance profile, showing the actual contribution of the different encoding/decoding stages to the overall computational process, are presented.

关键词： video compression real-time processing software-only solution H.261

来源：评论

学校读者我要写书评

暂无评论

optimization of Classification Results on Gene Expression Datasets Using Dimensionality Reduction 2

Optimization of Classification Results on Gene Expression Da...

引用

2022 2nd International conference on Artificial Intelligence, Big Data and algorithms, CAIBDA 2022

作者： Sun, Yichen Zhang, Fanyu College of Software Nankai University Tianjin China College of Artificial Intelligence and Data Science Hebei University of Technology Tianjin China

ISBN: (纸本)9783800760268

Datasets from Bioinformatics often have problems with high latitudes, small samples, and nonlinearity. For this reason, the datasets easy to create a dimensional curse. The goal of our project is to find a better dimensionality reduction algorithm for the classification of expression Bioinformatics datasets by comparing the different dimension reduction algorithms. We will use three kinds of datasets which are DLBCL, Colon, and Leukemia to demonstrate the performance of different dimensionality reduction algorithms in gene expression datasets. At first, we will preprocess the obtained data by a linear transformation. Secondly, we will visualize datasets. Then, using several dimensionality reduction algorithms to reduce the dimension and classify the datasets. In the linear algorithm part, we used PCA and MDS. And in the nonlinear algorithm part, we used ISOMAP and Laplacian Eigenmaps. We will introduce and compare these four algorithms and the SVM algorithm. SVM algorithm will be combined with these four algorithms to find the algorithm with the best classification performance. Finally, we will use several methods such as visual analysis and balanced accuracy to evaluate the classification performance. Our work will enable people to identify and screen the most appropriate data processing methods they use when they have the 'dimension curse' problem. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Bioinformatics

来源：评论

学校读者我要写书评

暂无评论

Model Predictive Control With Disturbance Observer for Marine Diesel Engine Speed Control

引用

IEEE ACCESS 2023年 11卷 49300-49318页

作者： Shu, Haoyu Li, Xuemin Liu, Yufei Wang, Runzhi Harbin Engn Univ Coll Power & Energy Engn Harbin 150001 Peoples R China Beijing Jingwei Hirain Technol GmbH Chaoyang 100020 Beijing Peoples R China Suqian Univ Sch Mech & Elect Engn Suqian 223800 Peoples R China

The application of model predictive control (MPC) algorithm in the fixed phase control of marine diesel engine speed is studied under the premise of considering model mismatch and external disturbance. Firstly, the steady-state error problem of conventional MPC controller is solved by changing nonlinear model to incremental form. Furthermore, discrete disturbance observer (DO) is introduced in the feedback correction, which can filter out the high-frequency disturbance and reduce the requirement of algorithm on the accuracy of model. Then, considering that nonlinear MPC based on DO (DONMPC) requires a large amount of online computation, the algorithm is simplified by preliminarily converting the nonlinear model to linear model. Through analysis, the controller performance of the two models is similar. Furthermore, considering that the speed of marine diesel engine is usually set to a few fixed reference values, a linear multi-model predictive controller based on DO (DOLMMPC) with less online calculation is proposed. Finally, the designed controllers are verified by experiments. The software simulations of the designed controllers and the PID controller are carried out on the cylinder-by-cylinder mean value engine model (MVEM). It is proved that the algorithm simplification method retains the control performance of the DONMPC algorithm, and the control performance of the designed two controllers is better than the PID controller. Moreover, the DOLMMPC controller and PID controller are tested on the semi-physical simulation platform. The results demonstrate that the DOLMMPC controller can meet the computational power limit of the microprocessor in practical engineering.

关键词： Diesel engines Computational modeling Prediction algorithms Predictive models Marine vehicles optimization Velocity control Disturbance observer marine diesel engine model predictive control mean value engine model speed control

来源：评论

学校读者我要写书评

暂无评论

Differential evolution versus particle swarm optimization for PID controller design

Differential evolution versus particle swarm optimization fo...

引用

5th International conference on Natural Computation, ICNC 2009

作者： Dong, Ruijun Department of Automation School of Mechanical and Electronic Engineering Xidian University Xi'an 710071 China

ISBN: (纸本)9780769537368

Differential evolution is a high-performance optimizer that is very easy to understand and implement. It is similar in some ways to genetic algorithms or evolutionary algorithms, but requires less computational bookkeeping and generally only a few lines of code. In this paper, a differential evolution optimizer is implemented and compared to a particle swarm optimization for control of a first-order process with a time delay, using fuzzy PID, and PID controller. The results show that the optimization scenarios are better suited to differential evolution versus the other. The differential evolution optimizer shares the ability of the genetic algorithm to handle arbitrary nonlinear cost functions, but with a much simpler implementation and a better performance it clearly demonstrates good possibilities for widespread use in controller optimization. © 2009 IEEE.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Receding horizon based greenhouse air temperature control using Grey wolf optimization algorithm

Receding horizon based greenhouse air temperature control us...

引用

IEEE-Uttar-Pradesh-Section International conference on Electrical, Computer, and Electronics Engineering (UPCON)

作者： Singhal, Rahul Kumar, Rajesh MNIT Jaipur Dept Elect Engn Jaipur 302017 Rajasthan India

ISBN: (纸本)9781509053841

This work describes the receding horizon control of an inside air temperature of greenhouse using the grey wolf optimization algorithms based on constraints on manipulative variables. Its performance being compared with that of Genetic algorithm and Particle swarm optimization. Classical control methods are difficult to implement for greenhouse air temperature control problem because of high nonlinear and complex nature of system. Meta-heuristic based algorithms are implemented because of their easy to understand, appropriate for different types of problems, stochastic nature helps in evading local extrema and derivative dependency. The results of GWO clearly shown better power saving & smoother control when compared with already implemented GA & PSO meta-heuristic algorithms for greenhouse air temperature control.

关键词： Grey Wolf optimization (GWO) Receding Horizon Control (RHC) Genetic algorithm (GA) Particle Swarm optimization (PSO) Greenhouse temperature control

来源：评论

学校读者我要写书评

暂无评论

Radar Clutter Covariance Estimation: A nonlinear Spectral Shrinkage Approach

引用

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS 2023年第6期59卷 7640-7653页

作者： Jain, Shashwat Krishnamurthy, Vikram Rangaswamy, Muralidhar Kang, Bosung Gogineni, Sandeep Cornell Univ Ithaca NY 14853 USA AF Res Lab Wright Patterson AFB OH 45433 USA Univ Dayton Res Inst Dayton OH 45469 USA Informat Syst Labs Inc Dayton OH 45458 USA

In this article, we exploit the spiked covariance structure of the clutter plus noise covariance matrix for radar signal processing. Using state-of-the-art techniques high dimensional statistics, we propose a nonlinear shrinkage-based rotation invariant spiked covariance matrix estimator. We state the convergence of the estimated spiked eigenvalues. We use a dataset generated from the high-fidelity, site-specific physics-based radar simulation software RFView to compare the proposed algorithm against the existing rank constrained maximum likelihood (RCML)-expected likelihood (EL) covariance estimation algorithm. We demonstrate that the computation time for the estimation by the proposed algorithm is less than the RCML-EL algorithm with identical Signal to Clutter plus Noise (SCNR) performance. We show that the proposed algorithm and the RCML-EL-based algorithm share the same optimization problem in high dimensions. We use Low-Rank Adaptive Normalized Matched Filter (LR-ANMF) detector to compute the detection probabilities for different false alarm probabilities over a range of target signal-to-noise ratios (SNR). We present preliminary results which demonstrate the robustness of the detector against contaminating clutter discretes using the challenge dataset from RFView. Finally, we empirically show that the minimum variance distortionless beamformer error variance for the proposed algorithm is identical to the error variance resulting from the true covariance matrix.

关键词： Covariance matrices Clutter Estimation Eigenvalues and eigenfunctions Radar Signal processing algorithms Computational modeling Clutter plus noise covariance estimation high dimensional data low-rank adaptive normalized matched filter (LR-ANMF) nonlinear shrinkage RFView rotation invariant estimator spiked covariance model

来源：评论

学校读者我要写书评

暂无评论

A Particle Swarm optimization Approach for Optimum Design of PID Controller for nonlinear systems

A Particle Swarm Optimization Approach for Optimum Design of...

引用

1st International conference on Electrical Engineering and software Applications (ICEESA)

作者： Adel, Taeib Abdelkader, Chaari Research Unit on Control Monitoring and Safety of Systems (C3S) High School ESSTT|c|

ISBN: (纸本)9781467363020;9781467363006

In this paper, a novel design method for determining the optimal proportional-integral-derivative (PID) controller parameters for Takagi-Sugeno fuzzy model using the particle swarm optimization (PSO) algorithm is presented. In order to assist estimating the performance of the proposed PSO-PID controller, a new timedomain performance criterion function has been used. The proposed approach yields better solution in term of rise time, settling time, maximum overshoot and steady state error condition of the system. the proposed method was indeed more efficient and robust in improving the step response.

关键词： control system synthesis fuzzy control nonlinear control systems optimal control particle swarm optimisation step response three-term control

来源：评论

学校读者我要写书评

暂无评论

OpenGraphGym: A Parallel Reinforcement Learning Framework for Graph optimization Problems 20th

OpenGraphGym: A Parallel Reinforcement Learning Framework fo...

引用

20th Annual International conference on Computational Science (ICCS)

作者： Zheng, Weijian Wang, Dali Song, Fengguang Indiana Univ Purdue Univ Indianapolis IN 46202 USA Oak Ridge Natl Lab POB 2009 Oak Ridge TN 37831 USA

ISBN: (纸本)9783030867973;9783030504250

This paper presents an open-source, parallel AI environment (named OpenGraphGym) to facilitate the application of reinforcement learning (RL) algorithms to address combinatorial graph optimization problems. This environment incorporates a basic deep reinforcement learning method, and several graph embeddings to capture graph features, it also allows users to rapidly plug in and test new RL algorithms and graph embeddings for graph optimization problems. This new open-source RL framework is targeted at achieving both high performance and high quality of the computed graph solutions. This RL framework forms the foundation of several ongoing research directions, including 1) benchmark works on different RL algorithms and embedding methods for classic graph problems;2) advanced parallel strategies for extreme-scale graph computations, as well as 3) performance evaluation on real-world graph solutions.

关键词： Reinforcement learning Graph optimization problems Distributed GPU computing Open AI software environment

来源：评论

学校读者我要写书评

暂无评论

high performance Emulation of Quantum Circuits

High Performance Emulation of Quantum Circuits

引用

International conference on high performance Computing, Networking, Storage and Analysis (SC)

作者： Haner, Thomas Steiger, Damian S. Smelyanskiy, Mikhail Troyer, Matthias Swiss Fed Inst Technol Inst Theoret Phys CH-8093 Zurich Switzerland Intel Corp Parallel Comp Lab Hillsboro OR 97124 USA Microsoft Res Quantum Architectures & Computat Grp Redmond WA 98052 USA

ISBN: (纸本)9781467388153

As quantum computers of non-trivial size become available in the near future, it is imperative to develop tools to emulate small quantum computers. This allows for validation and debugging of algorithms as well as exploring hardware-software co-design to guide the development of quantum hardware and architectures. The simulation of quantum computers entails multiplications of sparse matrices with very large dense vectors of dimension 2(n), where n denotes the number of qubits, making this a memory-bound and network bandwidth-limited application. We introduce the concept of a quantum computer emulator as a component of a software framework for quantum computing, enabling a significant performance advantage over simulators by emulating quantum algorithms at a high level rather than simulating individual gate operations. We describe various optimization approaches and present benchmarking results, establishing the superiority of quantum computer emulators in terms of performance.

关键词： Quantum computers

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：