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adaptive algorithm in the Application of Visual Measurement System

AASRI Procedia 2012年 3卷 113-117页

作者： Jing Zhou ShiJun Li DongYan Huang Hong Wang YeChi Zhang Wei Wang College of Information Technology Jilin Agricultural University Changchun 130118 China Electronic Commerce Department China United Network Communication Co.LTD.of Changchun City Branch Changchun 130021 China Department of Public Customer China Telecom Corporation Limited Jilin Branch Changchun 130033 China Special Market Sales Center China Telecom Corporation Limited Changchun Branch Changchun 130033 China

Focus on the problem that noise is existing in the input signals and output signals of visual measurement system, if calculate via the classic least mean square algorithm or recursive least square, it would generate the larger errors; Or calculate directly, the calculation work loading is too complex . So the solution of weight vector could be as the limited best optimization solution of Rayleigh Quotient of augmentation input vector self correlation matrix, take iteration estimation to the augmentation input vector and set up the function relationship between step factor and error; The simulation analysis experiment results indicate the standard tolerance of proposed adaptive total least squares algorithm is 0.0375mm; but the one of normal total least squares algorithm is only 0.0598mm . Obviously, the proposed algorithm has more high precision than normal total least squares algorithm, and its structure is simple, the calculation speed is faster .

关键词： adaptive algorithm Visual Measurement Total Least Squares

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English Translation System Design Based on adaptive algorithm 3

English Translation System Design Based on Adaptive Algorith...

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3rd IEEE International Conference on Electrical Engineering, Big Data and algorithms, EEBDA 2024

作者： Shen, Qian Xi'an Eurasia University Shaanxi Xi'an China

ISBN: (纸本)9798350380989

This paper studies how to construct the conversion unit effectively in the process of binary conversion in English translation. A hardware-based cross-language conversion module construction method based on ATUC is proposed and monitored in real time. The corresponding decoding is carried out, and the corresponding mathematical model is established. According to the characteristics of software operation, dynamic adaptive adjustment of each conversion component is carried out to improve the success rate of compilation operation and maximize the efficiency of compilation operation. A hardware-based persistent commit address cache is proposed to help binary converter monitor program performance. The validity of the proposed method is verified by SPEC2000 simulation. In the translation program, the software translation part is generally completed by the conversion module, because the conversion module is the basis of the entire program, so the performance of the conversion module directly affects the speed and efficiency of the entire software. This paper proposes a hardware-based approach for building cross-language translation modules. In binary stream translation, persistent commit address cache is used to reduce network transmission and improve translation performance. The experimental results show that the proposed method has good performance. © 2024 IEEE.

关键词： adaptive algorithm contour information English translation instruction trace translation unit construction

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Study of a Modified Fast adaptive algorithm for Digital Beamforming

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Journal of Systems Engineering and Electronics 1998年第4期9卷 75-80页

作者： Wang Zhong(Dept. of Electronic Tech., Chengdu Climate College, 610054, P. R. China)Huang Shunji(Department of Electronic Engineering, University of Electronic Science and Technology of China,Cbengdu 610054, P. R. China) Dept. of Electronic Tech. Chengdu Climate College 610054. P. R. China Department of Electronic Engineering University of Electronic Science and Technology of China Chengdu 610054 P. R. China

This paper provides a modified fast adaptive algorithm for digital beamforming. It is analgorithm with strict constraint minimum power sampling matrix gradient (CSMG). It has merits ofboth traditional sampling mains gradient (SMG) and strictly constrained minimum power adaptivealgorithm. 16-element uniform circular array is selected. Some results of computer simulation aregiven. The results indicate that the beam direction will change with constraint angle and can beadaptable to adjust zero very well. The algorithm is fast convergent.

关键词： Beam steering adaptive algorithm Gradient Convergeuce

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adaptive algorithm for the multishot matched filtering multiuser detector in a multipath Rayleigh fading environment

Adaptive algorithm for the multishot matched filtering multi...

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IEEE Conference on Vehicular Technology (VTC)

作者： N.J.M. Van Waes Y. Bar-Ness Center for Communications and Signal Processing Research ECE Department New Jersey Institute of Technology Newark NJ USA

CDMA proves to be an attractive method for multiuser communication due to its potential capacity increase and anti-multipath fading capability. However, its performance is limited by the existence of multiple access interference energy (MAI), which results in the so called near-far problem. To reduce the MAI effect, different decorrelating structures for multiuser detection have been proposed. For the asynchronous case, the "one-shot decorrelator" was proposed, based on inversion of the partial correlation matrix, which may however be singular. As an alternative, the so called "multishot decorrelator", which does not suffer from the aforementioned singularities, was also suggested. However, both detectors, based on inversion of some matrix, are not robust to errors in users' relative delays. The application of the adaptive "Bootstrap algorithm" with the one-shot structure proved to easily handle variation in delay estimates and outperform the decorrelating detector. We propose and compare a Bootstrap algorithm suitable for the multishot matched filtering, multiuser detector in a multipath environment, examine its performance, and compare it to that of other detectors. We also propose the extension of the multishot structure to a multistage receiver, by adding an appropriate canceler.

关键词： adaptive algorithm adaptive filters Matched filters Filtering Decorrelation Detectors Multiple access interference Delay estimation Multiaccess communication Fading

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adaptive algorithm to Vehicle Following Control in Intelligent Transportation System

Adaptive Algorithm to Vehicle Following Control in Intellige...

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International Symposiums on Information Processing (ISIP)

作者： Dianbo Ren Jiye Zhang State Key Laboratory of Traction Power Southwest Jiaotong University Chengdu Sichuan China

ISBN: (纸本)9781424430536;9780769531519

In this paper, the Lyapunov second method is used to derive adaptive control laws that can be used to control the spacing between vehicles in a platoon. The decentralized adaptive algorithm to compensate for parametric variations is investigated and the terminal sliding mode longitudinal control laws for each vehicle in the platoon are designed. From the simulation of the vehicle platoon, convergence rate of spacing errors of the vehicle platoon is fast.

关键词： Intelligent transportation systems adaptive algorithm Control systems Intelligent control Intelligent vehicles Sliding mode control Automated highways Design methodology Vehicle dynamics Aerodynamics

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High-order discretization of the Reynolds stress model with anε_(β)-adaptive algorithm

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Acta Mechanica Sinica 2022年第6期38卷 81-94,I0002页

作者： Xiang Fu Xiaogang Deng Shengye Wang Shichao Zheng Guangxue Wang College of Aerospace Science and Engineering National University of Defense TechnologyChangsha 410073China Chinese Academy of Military Science Beijing 100071China School of Physics Sun Yat-sen UniversityGuangzhou 510275China

The Reynolds stress model(RSM)outperforms the eddy viscosity model(EVM)when simulating complex flows and has increased demand for high-order ***,the complexity of the RSM equations results in poor numerical stability and weak convergence *** of the reasons is that the properties of Reynolds stresses are not fully considered in the design of the numerical *** response to this issue,this study develops an adaptive algorithm to adjustε_(β)values(an empirical parameter in nonlinear weights)according to the magnitude and smoothness of the Reynolds *** algorithm is introduced into the fifth-order weighted compact nonlinear scheme(WCNS)and is applied to the high-order discretization of the *** aeronautic test cases are simulated to investigate the performance of the *** numerical results show that,the adaptive algorithm can reduce the residual by up to 3 orders of magnitude and predict the correct weights for gradient *** results confirm that the application of theε_(β)-adaptive algorithm to the high-order discretization of the RSM is beneficial both for enhancing convergence and improving resolution.

关键词： WCNS Reynolds stress model adaptive algorithm Resolution

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δ-model adaptive algorithm based on plant-parameterization

δ-model adaptive algorithm based on plant-parameterization

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CES/IEEE 5th International Power Electronics and Motion Control Conference

作者： Zhao Feng Liu Weiguo Northwestern Polytech Univ Automat Dept Xian 710072 Peoples R China Northwestern Polytech Univ Xian 710072 Peoples R China

ISBN: (纸本)1424404487

Focusing on some adaptive control problems of nonlinear industrial processes under given conditions. This paper proposes a modified iterative scheme of the closed-loop identification and designs delta-model adaptive controller based on plant-parameterization. The modification enables to identify the whole plant using only one coefficient and without the necessity of reducing the order of a new plant model. Moreover, instead of using a least squares algorithm, only a simple formula for identification is used. In addition, introduction of delta-models helps to cope with numerical instabilities of discrete models occurring when a sampling interval is being shortened. Digital simulation demonstrates that the proposed algorithm brings about good control results.

关键词： adaptive algorithm Youla-Kucera parameter parameter identification and least squares algorithm iterative methods

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adaptive algorithm for providing flow protection in the Internet

Adaptive algorithm for providing flow protection in the Inte...

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International Conference on Telecommunications (ICT)

作者： D. Srinivasa Rao K.C. Reddy E.C.E. Dept College of Engineering Anantapur Andhra Pradesh India Computer Science Department University of Hyderabad Hyderabad Andhra Pradesh India

The main goal of this paper is to provide flow protection and, hence, to provide better than best effort service on the Internet, in particular, to protect adaptive TCP flows in the presence of non-adaptive UDP flows. The solution of choice to achieve flow protection is to have routers implement fair bandwidth allocation. To achieve this goal, an adaptive fair queue management algorithm (modified version of FRED) is proposed. AFQ is made adaptive by dynamically varying the number of packets of flow that could be allowed into the buffer with average queue size and buffer size. The drop or accept decision for a packet is based on the buffer occupancy of the flow. Routers maintain per flow accounting for providing flow protection. Implementation complexity of AFQ is comparable to the existing fair queue management schemes such as FRED. The performance of the proposed scheme is better than FRED.

关键词： adaptive algorithm Protection Feedback Channel allocation Web and internet services Traffic control Educational institutions Computer science Transport protocols Internet telephony

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adaptive algorithm for multi-agent learning optimal cooperative pursuit strategy based on Markov game

Adaptive algorithm for multi-agent learning optimal cooperat...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Yue-Hai Wang Chi Xu College of Information North-China University of Technology Beijing China

ISBN: (纸本)0780384032

There are two problems in the process of learning optimal cooperative pursuit strategy for multiple agents in MAS (multi-agent system). One is there is usual circulation among the actions chosen by agents which make the learning process not converging, the other is there are many conflicts among the actions chosen by agents which make the learned pursuit strategy not optimal. In this paper, the procedure of learning optimal pursuit strategy for multi-agent is regard as a Markov game, and the best equilibrium of the game is regard as the converging, stable state of cooperative pursuit learning. An adaptive algorithm for multiple agents to select and attain an optimal, consistent equilibrium is proposed based on fictitious play. The simulation verifies the effectiveness of the algorithm.

关键词： adaptive algorithm Pursuit algorithms Multiagent systems Learning systems Machine learning Convergence Educational institutions Autonomous agents algorithm design and analysis Costs

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adaptive algorithm selection method (AASM) for dynamic software tuning

Adaptive algorithm selection method (AASM) for dynamic softw...

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IEEE Annual International Computer Software and Applications Conference (COMPSAC)

作者： K. Suzaki T. Kurita H. Tanuma S. Hirano Electro Technical Laboratory Tsukuba Ibaraki Japan

This paper presents a new approach to dynamic software tuning called the adaptive algorithm selection method (AASM). The AASM is built into the calling sequence of a library. When the library is called, the AASM is activated. The AASM selects and executes the optimum algorithm from registered algorithms in a library, based on data and machine type. As a result, the software is automatically tuned and the execution time is shortened. The relation between the data and the best algorithm for a given machine is learned by a neural network from the results of performance tests of the registered algorithms. We experimented on a multi-strings search problem with the AASM on the following machines: the CRAY X-MP/216, FACOM M 1800/30, and SUN Sparc Station 2. From these experiments we demonstrated that the AASM is able to minimize the execution time.< >

关键词： adaptive algorithm Software libraries Neural networks Testing Laboratories Search problems Sun algorithm design and analysis Artificial intelligence Operating systems

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