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检索条件"主题词=Software Algorithms"

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Multi-Core Parallel Computing of Equivalent Electron LS Coupling Atomic State Based on Matlab Simulation Algorithm

Multi-Core Parallel Computing of Equivalent Electron LS Coup...

引用

International Conference on Information Systems and Computer Aided Education (ICISCAE)

作者： Lingling Zhang Zhuhai College of Jilin University Zhuhai China

ISBN: (数字)9781728183046

ISBN: (纸本)9781728194608

In this paper, the equivalent electronic LS coupled atomic state is simulated by Matlab in parallel calculation, and a series of zero field-ultra low field atomic states of different LS coupled chemical molecular samples are obtained. Combined with the method, the analytical solution of the time optimal control of any single spin rotation of the two-spin system under zero field conditions is obtained, and the optimal control operation is achieved on the built experimental platform, with an average fidelity of 99 %. Compared with the previous single-core computing, the optimal control of multicore parallel computing can save 70-80% of the time. This work has a certain guiding role for Matlab parallel computing simulation.

关键词： Couplings Space vehicles Computational modeling software algorithms Optimal control Parallel processing Matlab

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Xcloner: An Interactive Multiplatform Parallel Image Processing Development Environment

Xcloner: An Interactive Multiplatform Parallel Image Process...

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Workshop on VLSI Signal Processing

作者： Chao-Chun Wang L.H. Jamieson School of Electrical Engineering Purdue University West Lafayette IN USA

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Interval Identification of Dynamic Model of Realization of Bakery Produce

Interval Identification of Dynamic Model of Realization of B...

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International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science

作者： Mykola Dyvak Iryna Kalishchuk Yevheniya Martsenyuk

A purpose of given paper is approbation one of the newest algorithms of interval models identification of discrete dynamic systems by the way of corresponding software development and its using for construction of int... 详细信息

关键词： Production systems Economic forecasting Equations Vectors software algorithms Programming Heuristic algorithms Stochastic processes Upper bound Data analysis

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Search Budget in Multi-Objective Refactoring optimization: a Model-Based Empirical Study

Search Budget in Multi-Objective Refactoring optimization: a...

引用

Euromicro Conference on software Engineering and Advanced Applications (SEAA)

作者： Daniele Di Pompeo Michele Tucci DISIM University of L’Aquila L’Aquila Italy D3S Charles University Prague Czech Republic

software model optimization is the task of automatically generate design alternatives, usually to improve quality aspects of software that are quantifiable, like performance and reliability. In this context, multi-objective optimization techniques have been applied to help the designer find suitable tradeoffs among several non-functional properties. In this process, design alternatives can be generated through automated model refactoring, and evaluated on non-functional models. Due to their complexity, this type of optimization tasks require considerable time and resources, often limiting their application in software engineering *** this paper, we investigate the effects of using a search budget, specifically a time limit, to the search for new solutions. We performed experiments to quantify the impact that a change in the search budget may have on the quality of solutions. Furthermore, we analyzed how different genetic algorithms (i.e., NSGh-II, SPEh2, and PESA2) perform when imposing different budgets. We experimented on two case studies of different size, complexity, and *** observed that imposing a search budget considerably deteriorates the quality of the generated solutions, but the specific algorithm we choose seems to play a crucial role. From our experiments, NSGh-II is the fastest algorithm, while PESA2 generates solutions with the highest quality. Differently, SPEh2 is the slowest algorithm, and produces the solutions with the lowest quality.

关键词： Process design Limiting software algorithms Reliability engineering software Complexity theory software reliability

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Multithreaded Linear Hashing with Disk Buffer

Multithreaded Linear Hashing with Disk Buffer

引用

International Workshop on Database Technology and Applications

作者： Hai-Hao Tang Hu Chen Jiang-Feng Peng School of Computer Science and Engineering South China University of Technology Guangzhou China School of Software Engineering South China University of Technology Guangzhou China

Multi-core computers have become increasingly popular, in order to improve the performance of index in database systems on multi-core computers, and this paper presents an alternative algorithm of linear hashing and multithreaded disk buffer on multi-core computers. In this algorithm, records can be inserted into hash table concurrently by different threads. The key of the parallel insertion is to make traditional insertion into batch insertion. Multithreaded disk buffer is developed for multithreaded linear hashing, making multithreads allocate and release memory simultaneously as much as possible. It is applied to maximize memory utilization and to minimize the number of disk accesses. Our experimental result shows that, compared to traditional serial linear hashing, multithread linear hashing achieves a higher performance on multi-core computers.

关键词： Database systems Computer science Data engineering Indexes Buffer storage Multicore processing Concurrent computing Application software software engineering software algorithms

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A floating-point solver for band structured linear equations

A floating-point solver for band structured linear equations

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IEEE International Conference on Field-Programmable Technology (FPT)

作者： Antonio Roldao Lopes George A. Constantinides Eric C. Kerrigan Electrical and Electronic Engineering Department Imperial College London Department of Aeronautics Imperial College London

Field programmable gate arrays (FPGAs) have gradually been increasing their capacities and started to incorporate optimized coarse-grained modules such as BlockRAMs, multipliers, and even processors. These developments have extended their field of applications and one field that has been gaining significant interest is the acceleration of floating-point scientific computing. In this field, a recurring subtask is the solution of systems of linear equations. One well studied method that has proven to be very efficient in software and robust at finding such solutions is the conjugate gradient (CG) algorithm. In this paper we present a hardware CG method which takes advantage of the banded structure present in many common problems. With the flexibility provided by FPGAs, this implementation employs wide-parallelization to convert the per iteration computation time for an order n matrix with band width w from Theta(nw) clock cycles for a software implementation to Theta(n) in hardware. It also explores deep-pipelining so that solutions to P problems are produced every Theta(n) cycles opposed to every Theta(Pnw) cycles in software. Results demonstrate that performances up to 32 GFLOPs are achievable on a Virtex5-330T FPGA and a software comparison reports significant speed-ups in relation to high-end CPUs.

关键词： Equations Field programmable gate arrays Character generation Hardware Application software Acceleration Scientific computing Robustness software algorithms Matrix converters

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A Symbolic Computational Method for Dynamic Simulation of Multibody Systems

A Symbolic Computational Method for Dynamic Simulation of Mu...

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International Conference on Innovative Computing, Information and Control (ICICIC)

作者： V. Filip A. Neagu Valahia University of Targoviste Romania

This paper proposes a computational method for solving the dynamic equations of motion of manipulator-robots, using the integration methods. The proposed algorithm is conceived using Mathematica software, which allows the integration of differential system equations by his functions, assuring in this way the result correctness and a high computational speed. The software may be used for the 2D or 3D robots-manipulators, which contain an open kinematics chain with rotation and translation joints. The software allows also for the calculation of the time-variation curves of the degrees of freedom, having as initial data the values of joints generalized forces, the mass and inertia of the robot links, the inertia of the actuators and the initial conditions for joints coordinates and speeds

关键词： Computational modeling Manipulator dynamics Robot kinematics Differential equations software algorithms Actuators Mathematics Algorithm design and analysis Partitioning algorithms Distributed control

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Performance Prediction of WS-CDL Based Service Composition

Performance Prediction of WS-CDL Based Service Composition

引用

International Conference on Quality software

作者： Yunni Xia Hongchao Xue Xiuwu Wang School of computer science Chongqing University Chongqing China

ISBN: (纸本)9781424480784

In this paper, we propose a translation-based approach for performance prediction of composite service built on WS-CDL. To translate a composite service into a state-transition model for quantitative analysis, we first give a set of translation rules to map WS-CDL elements into general-stochastic-petri-nets (GSPN). Based on the GSPN representation, we introduce the prediction algorithm to calculate the expected-process-normal-completion-time of WS-CDL processes. We also validate the accuracy of the approach in the experimental study by showing 95% confidence intervals obtained from experimental performance results cover corresponding theoretical prediction values.

关键词： Delay Prediction algorithms Analytical models software algorithms Markov processes Silicon compounds software systems

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Air Data Sensor Fault Detection and Diagnosis Using Robust Unscented Kalman Filter

Air Data Sensor Fault Detection and Diagnosis Using Robust U...

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Artificial Intelligence and Signal Processing (AISP), INDIA, International Conference on

作者： Anitha G Jayaram Murugan Saravanan Elanchezhian Dept. of Aerospace engineering Anna university MIT Campus Chennai india

ISBN: (数字)9798350350654

ISBN: (纸本)9798350350661

The air data system measures and provides vital information like an aircraft's speed, altitude, and other safety parameters essential for flight. Errors in such critical system components result in loss of control of the aircraft, leading to aircraft crashes. Thus, redundancy for this critical component is highly important. The proposed work introduces a new method for identifying problems with the air data sensor in an airplane. Current techniques involve a complicated voting system that requires multiple sensors to function properly. However, this new approach uses analytic redundancy to monitor the sensor's performance continuously, which is more desirable than relying on air data probe measurements. The method involves using a mathematical model that considers only the inertial measurement unit and navigation system data to estimate air data and detect faults in the sensors. The robust three-stage unscented Kalman filter is used to provide an accurate estimation. By comparing the estimated data with the physical measurements, the algorithm can track the performance of each sensor and identify any faults. The algorithm is tested in X-Plane software and validated using real-time data from a Cessna Citation II transport aircraft. A sensor stuck fault was introduced twice in the 60-second run time. The UKF outperformed the novel EKF in most of the cases and showed its robustness during various fault conditions with a 1–2 % deviation in RMSE values. The results obtained showed that the estimated data can be used as a replacement for a redundant sensor, reducing the complexity and cost of these sensors.

关键词： Accuracy software algorithms Redundancy Signal processing algorithms Signal processing Data systems Stability analysis software Kalman filters Aerospace control

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Class a Narrowband Radio Noise Simulation

Class a Narrowband Radio Noise Simulation

引用

8th International Zurich Symposium and Technical Exhibition on Electromagnetic Compatibility

作者： A. G. Brusentsov A. N. Volkov Bonch Bruevich Leningrad Electrical Communication Institute Leningrad USSR

ISBN: (纸本)9781509031931

Two algorithms of narrowband random processes stimulation described by D. Middleton canonical models of class A natural and man-made interferences are offered. One of the algorithms is based on identity with Ya. Likhter atmospheric interferences model extended to the case of overlapping pulses of D. Middleton class A interference model. Another algorithm represents class A interference component as a stationary narrowband Gaussian process modulated by birth and death process. It is shown that the use of Gaussian and Poisson random processes is sufficient for the algorithms realization. Comparison of algorithms is made and simulation error due to truncation of class A interference one dimensional distribution is estimated.

关键词： Atmospheric modeling Narrowband Interference Noise Mathematical models Autocorrelation software algorithms software Real-time systems Hafnium

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