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International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)

作者： Wei, Chenglong Wang, Gai-Ge Ocean Univ China Informat Sci & Engn Qingdao Peoples R China

In this paper, we optimized PSO by quantum behavior and optimized KH by simulated annealing, so a new hybrid algorithm, named Annealing Krill Quantum Particle Swarm optimization algorithm (AKQPSO), is proposed, and it is based on annealing krill herd algorithm (AKH) and quantum particle swarm optimization algorithm (QPSO). QPSO has better performance in exploitation and AKH has better performance in exploration, so AKQPSO proposed on this basis increases the diversity of population individuals, and shows better performance in both exploitation and exploration. In addition, the quantum behavior increased the diversity of the population, and the simulated annealing strategy made the algorithm avoid falling into the local optimal value, which made the algorithm obtain better performance. The test set used in this paper is a classic 100 -Digit Challenge problem, which is proposed at 2019 IEEE Congress on Evolutionary Computation (CEC 2019), and AKQPSO has achieved better performance on the benchmark problems.

关键词： Swarm intelligence annealing-behaved quantum-behaved algorithm optimization

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Energy Efficiency optimization in the Multiantenna Downlink with Linear Transceivers

Energy Efficiency Optimization in the Multiantenna Downlink ...

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IEEE 24th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Hellings, Christoph Utschick, Wolfgang Tech Univ Munich Associate Inst Signal Proc D-80290 Munich Germany

ISBN: (纸本)9781467362337

optimization of transmit strategies with linear transceivers in multiple-input multiple-output (MIMO) broadcast channels generally leads to nonconvex problems, which cannot be solved efficiently in a globally optimal manner. Instead, it is necessary to resort to suboptimal algorithms. In this paper, we evaluate the application of a gradient descent algorithm for the optimization of the energy efficiency in such a system. Since the quality of the obtained locally optimal solutions depends on the initialization, a successive stream allocation is introduced and combined with the gradient algorithm. Comparison with a globally optimal reference algorithm for the special case of single receive antennas shows that the obtained solutions are close to the global optimum. For the MIMO case, the energy per bit achievable with dirty paper coding, which is a lower bound for the case of linear transceivers, is used as benchmark, and good performance of the gradient-based methods is shown for MIMO systems as well.

关键词： multiple input multiple output systems Transceivers Energy efficiency algorithm optimization optimal solution global optimum Downlink

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Self-collision Detection optimization Method in the Arm Clothes Simulation 1

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Joint Conference of the 16th Asia Simulation Conference / SCS International Autumn Simulation Multi-Conference (AsiaSim/SCS AutumnSim)

作者： Bing, He Yue, Lv Mi, Jing Beihang Univ Sch Comp Sci & Engn Beijing Peoples R China

ISBN: (数字)9789811026669

ISBN: (纸本)9789811026669;9789811026652

This paper implements the self-collision detection optimization during the clothes simulation, including the high-level and low-level tailoring optimization. During the high-level tailoring stage, this paper firstly implements the basic high-level tailoring in combination with the hierarchical bounding box algorithm and continuous normal vector cone information. On this basis, this paper implements the high-level tailoring optimization based on the radiation angle. Finally, this paper implements the high-level tailoring optimization based on the isolated set. During the low-level tailoring stage, this paper firstly implements the low-level tailoring optimization based on the characteristic distribution. In addition, this paper also implements the low-level tailoring optimization based on the non-coplanar filter. Experiment result shows that the two level tailoring optimization method in this paper can effectively cut off the redundant and non-collision primitive pair and further improve the efficiency of self-collision detection.

关键词： Cloth simulation Low-level tailoring Self-collision detection High-level tailoring algorithm optimization

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optimization of Hardware-oblivious and Hardware-conscious Hash-join algorithms on KNL 4

Optimization of Hardware-oblivious and Hardware-conscious Ha...

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4th International Conference on Cloud Computing and Internet of Things (CCIOT)

作者： Tang, Deyou Zhang, Yazhuo Zeng, Qingmiao South China Univ Technol Sch Software Engn Guangzhou 510006 Peoples R China

ISBN: (纸本)9781728143972

Investigation of hash join algorithm on multicore and many-core platforms showed that carefully tuned hash join implementations could outperform simple hash joins on most multi-core servers. However, hardware-oblivious hash join has shown competitive performance on many-core platforms. Knights Landing (KNL) has received attention in the field of parallel computing for its massively data-parallel nature and high memory bandwidth, but both hardware-oblivious and hardware-conscious hash join algorithms have not been systematically discussed and evaluated for KNL's characteristics (high bandwidth, cluster mode, etc.). In this paper, we present the design and implementation of the state-of-the-art hardware-oblivious and hardware-conscious hash joins that are tuned to exploit various KNL hardware characteristics. Using a thorough evaluation, we show that:1) Memory allocation strategies based on KNL's architecture are effective for both hardware-oblivious and hardware-conscious hash join algorithms;2) In order to improve the efficiency of the hash join algorithms, hardware architecture features are still non-negligible factors.

关键词： hash join Knights Landing algorithm optimization parallel computing

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algorithmS FOR SOLVING UNCONSTRAINED optimization PROBLEMS 12

ALGORITHMS FOR SOLVING UNCONSTRAINED OPTIMIZATION PROBLEMS

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12th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)

作者： Kuang, Ping Zhao, Qin-Min Xie, Zhen-Yu Univ Elect Sci & Technol China Sch Informat & Software Engn Chengdu 611731 Peoples R China

ISBN: (纸本)9781467382663

The computational method of unconstrained optimization problem is an important research topic in the field of numerical computation. It is of great significance to solve the problem of unconstrained optimization. There are many ways that are applied to settle these questions, so we need to choose a method which owns much fast er and less complex trait. Furthermore, in order to solve this rubs, this paper presents a comparative study of the common algorithms and our approach which are used to handle some concrete unconstrained optimization problems.

关键词： Unconstrained optimization problem algorithm optimization optimization method

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optimization analysis of intelligent myoelectric control

Optimization analysis of intelligent myoelectric control

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2nd IEEE International Conference on Intelligent Systems

作者： Venkataramanan, S Kalpakam, NV Samant, A IITG Dept Elect & Commun Engn BTech Program Assam India

ISBN: (纸本)0780382781

Myoelectric control refers to the use of processed Electromyogram (EMG) signals in the operation of devices external to the human body. It finds numerous applications requiring good precision, quick response, design flexibility and ease in control. A variety of myoelectric controller algorithms exist, but there is immense scope for optimization. This paper proposes an intelligent system which is capable of optimizing the system speed and the number of actions that can be selected. Such an optimization involves rigorous mathematical analysis of the characteristics and the inter-dependence of these two parameters. The intelligent systems employ a technique to continuously monitor the actions that are performed. Accordingly, they allocate the least selection duration to those actions that are executed the most number of times. This process has been termed as self-preferential time allocation and is achieved by a combination of spatial and temporal coding. Here, the temporal priorities are reassigned preferentially to spatially coded signals. Such systems that employ self-preferential time allocation eliminate the need for constant re-programming and the design of individually programmed myoelectric controllers. The introduction of a scaling factor also induces intelligence to the system, resulting in fast, flexible and self-regulating myoelectric controllers.

关键词： algorithm optimization intelligent systems myoelectric control self-preferential time allocation

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Iterative optimization of Orbital Dynamics Based on Model Prediction 5

Iterative Optimization of Orbital Dynamics Based on Model Pr...

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5th International Conference on Fuzzy Systems and Data Mining (FSDM)

作者： Hu, Yuhao Li, Gang Hu, Aimin Harbin Inst Technol Sch Astronaut Harbin 150000 Peoples R China Univ Maryland Baltimore Cty Dept Mech Engn Baltimore MD 21250 USA Zhenjiang Epsion Elect Co Ltd Zhenjiang 212000 Jiangsu Peoples R China

ISBN: (纸本)9781643680194;9781643680187

Sliding door is an important part of commercial vehicle. Aiming at the problem of damage caused by the resonance of chuck and wheel in sliding guideway. The three-dimensional force and smoothness of sliding mechanism are studied. An improved guide rail system is designed in the grey model. In the non-linear optimization design [1], the trust domain multi-objective optimization algorithm is used to divide the model into a series of sub-regions. The model is solved iteratively in the trust region of the sub-region, and the design parameters satisfying the requirements of the smoothness of the guide rail are obtained. In ADAMS, the oblique vibration and force motion of components are simulated and analyzed when the track system is running normally. The results show that the force acting on each group of guide wheel mechanism can be effectively decomposed by using the multiwheel design with separated forces. The smoothness and reliability of the system are improved.

关键词： Sliding guide Multi-body dynamics algorithm optimization Trust Region

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optimization technology of 9/7 wavelet lifting scheme on DSP

Optimization technology of 9/7 wavelet lifting scheme on DSP

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Conference on Medical Imaging, Parallel Processing of Images, and optimization Techniques

作者： Chen, Zhengzhang Yang, Xiaoyuan Yang, Rui Beihang Univ Digital Media Lab Sch Comp Sci & Engn Beijing 100083 Peoples R China

ISBN: (纸本)9780819469533

Nowadays wavelet transform has been one of the most effective transform means in the realm of image processing, especially the biorthogonal 9/7 wavelet filters proposed by Daubechies, which have good performance in image compression. This paper deeply studied the implementation and optimization technologies of 9/7 wavelet lifting scheme based on the DSP platform, including carrying out the fixed-point wavelet lifting steps instead of time-consuming floating-point operation, adopting pipelining technique to improve the iteration procedure, reducing the times of multiplication calculation by simplifying the normalization operation of two-dimension wavelet transform, and improving the storage format and sequence of wavelet coefficients to reduce the memory consumption. Experiment results have shown that these implementation and optimization technologies can improve the wavelet lifting algorithm's efficiency more than 30 times, which establish a technique foundation for successfully developing real-time remote sensing image compression system in future.

关键词： wavelet transform lifting remote sensing image compression DSP algorithm optimization software pipeline

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Sdn Multi Network Element Routing optimization Strategy In 5g Scenario 6

Sdn Multi Network Element Routing Optimization Strategy In 5...

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6th IEEE Advanced Information Technology, Electronic and Automation Control Conference (IEEE IAEAC)

作者： Yan, Chungang Sheng, Shuo Tongji Univ Minist Educ Key Lab Embedded Syst & Serv Comp Shanghai Peoples R China

ISBN: (数字)9781665458641

ISBN: (纸本)9781665458641

With the introduction of many new features of 5g and the gradual promotion of 5g test and pre commercial plan, the 5g oriented bearer network architecture and technical solution have become the focus of the industry. Correspondingly, the management and control technology of the bearer network has also appeared many new features. 5g network involves wireless, core network and bearer network, and supports a variety of network application scenarios at the same time. It is the basic demand of 5g bearer network collaborative management and control to realize end-to-end network and business collaboration through SDN architecture and improve the automatic opening and deployment of services and intelligent operation and maintenance capabilities. This paper proposes a multi-path routing optimization algorithm based on 5g + Sdn. Compared with traditional algorithms, the optimization algorithm has obvious improvement in cost, energy consumption awareness and load balancing.

关键词： 5G SDN algorithm optimization Route optimization strategy

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A review of welding simulation methods for large components

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Progress in Natural Science:Materials International 2023年第5期33卷 551-568页

作者： Shuai Liu Zhiqiang Wu Wenhao Zhou Honggang Zhou Keke Zhang Danqing Yin Yongping Lei Yongfeng Qiu Engineering Research Center of Mining Development Technology and Equipment for Deep Sea and Earth Ministry of Education Hunan University of Science and Technology Hunan Valin Xiangtan Iron & Steel Group Co. Ltd Research Institute of Technology Jianglu Electromechanical Science & Technology Co. Ltd.Xiangtan School of Materials Science and Engineering Henan University of Science and Technology School of Materials Science and Engineering Beijing University of Technology Guiyang Aluminum Magnesium Design & Research Institute Co. Ltd

The challenges posed by cross-scale effects, large computational requirements, high nonlinearity, and complex interactions of multiple physical phenomena constitute major obstacles to the effectiveness and accuracy of welding simulations for large structural components. Therefore, achieving accurate welding simulation to predict and effectively control welding deformation of substantial engineering structural parts is essential to ensure welding quality and improve production efficiency. This paper reviews the current research status of welding numerical simulation of large engineering components, including the establishment of the finite element model,optimization of the heat source model, selection of appropriate finite element calculation method, and the control of welding deformation through optimization algorithm. In addition, the strategies to improve the precision and efficiency of welding numerical simulation and control welding deformation of engineering components are analyzed and discussed. The future development of welding numerical simulation will focus on balancing simulation accuracy and simulation efficiency and optimizing welding parameters to control welding deformation efficiently.

关键词： Large welded components algorithm optimization Welding deformation Simulation accuracy and efficiency

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