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检索条件"主题词=Algorithm optimization"

共 297 条记录，以下是181-190 订阅

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Fast and Low-Power Behavior Analysis on Vehicles Using Smartphones 6

Fast and Low-Power Behavior Analysis on Vehicles Using Smart...

引用

6th IEEE International Symposium on Next-Generation Electronics (ISNE)

作者： Xu, Xiaoqing Yin, Shouyi Ouyang, Peng Tsinghua Univ Inst Microelect Beijing Peoples R China

ISBN: (纸本)9781538630969

More and more deep learning methods are applied in unmanned or assisted driving, and have achieved very excellent performance. This paper describes long short-term memory recurrent neural networks used in assisted driving, which can capture the long temporal dependencies of multiple vehicles sensors' data, supporting drivers' behavior analysis on vehicles. Some optimization methods, such as model compression, weight quantization, adaptive window segmentation, are applied to make the deep network faster and less power. Therefore, it can be easily deployed on smart-phones and other embedded devices due to its moderate energy consumption and low latency. The architecture was trained in a sequence-to-sequence prediction manner, and it explicitly learns to predict the driving patterns given the temporal context. The experiment is executed on the smart-phone. Experimental results for different parameters are also presented in the paper. At last, we reduce the model size to 77 KB, the processing time to 4.27 ms, and the power overhead is 7.7 mW, the percentage of improved performance by our optimizations is over 60%.

关键词： deep learning drivers' behavior analysis algorithm optimization

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Camera and Lidar Cooperation for 3D Feature Extraction 16

Camera and Lidar Cooperation for 3D Feature Extraction

引用

16th International Conference on Informatics in Control, Automation and Robotics (ICINCO)

作者： Gabriel, Burtin Patrick, Bonnin Florent, Malartre 4D Virtualiz 10 Allee Evariste Galois Clermont Ferrand France Univ Versailles St Quentin LISV 10-12 Ave Europe Velizy Villacoublay France

ISBN: (纸本)9789897583803

The objective of this work is to use efficiently various sensors to create a SLAM system. This algorithm has to be fast (real-time), computationally light and efficient enough to allow the robot to navigate in the environment. Because other processes embedded require large amount of cpu-time, our objective was to use efficiently complementary sensors to obtain a fairly accurate localization with minimal computation. To reach this, we used a combination of two sensors: a 2D lidar and a camera, mounted above each other on the robot and oriented toward the same direction. The objective is to pinpoint and cross features in the camera and lidar FOV. Our optimized algorithms are based on segments detection. We decided to observe intersections between vertical lines seen with the camera and locate them in 3D with the ranges provided by the 2D lidar. First we implemented a RGB vertical line detector using RGB gradient and linking process, then a lidar data segmentation with accelerated computation and finally we used this feature detector in a Kalman filter. The final code is evaluated and validated using an advanced real-time robotic simulator and later confirmed with a real experiment.

关键词： Line Segment Detection algorithm optimization Camera-lidar Sensor Fusion Localization Extended Kalman Filter

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Design Guidelines using Selective Harmonic Elimination Advanced Method for DC-AC PWM with the Walsh Transform

Design Guidelines using Selective Harmonic Elimination Advan...

引用

7th International Conference-Workshop on Compatibility and Power Electronics (CPE)

作者： Vicente, Jesus Pindado, Rafael Martinez, Inmaculada Tech Univ Catalonia UPC Barcelona Spain

ISBN: (纸本)9781424488070

The use of the Walsh transform in DC-AC PWM waveform generation allows the calculation of the switching angles by means of linear equations which depend on the fundamental amplitude. However, when it is needed a wide regulation of the fundamental amplitude, conventional application of Walsh transform forces to switch among different equation sets, due to the range limitation of each one of them. In this paper it is described an advanced method to obtain the switching angles that permits full regulation of the fundamental amplitude, with only a switching interval vector, in single phase systems. The paper shows Matlab simulation results that proof the efficiency of the advanced method algorithm.

关键词： algorithm optimization PWM inverters Selective harmonic elimination DC-AC conversion Walsh transform

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Research on Scene Management Technology Based on Adaptive Binary Tree and Scene Graph

Research on Scene Management Technology Based on Adaptive Bi...

引用

IEEE International Conference on Information and Automation (ICIA)

作者： Su, Mo Guo, Ruifeng Wang, Hongliang Wang, Shuai Univ Chinese Acad Sci Beijing Peoples R China Chinese Acad Sci Shenyang Inst Comp Technol Shenyang Liaoning Peoples R China Shandong Acad Sci Informat Res Inst Jinan Shandong Peoples R China

ISBN: (纸本)9781538631546

Scene management technology is one of the key technologies of virtual reality and visualization. In this paper, we propose a new method based on adaptive binary tree (ABT) and scene graph, which is used to improve the real-time rendering of indoor and outdoor objects and enhance the organization efficiency of scenes structure. The generation algorithm of adaptive binary tree, the scoring standard of the splitting plane, the algorithm of search effective segmentation of plane and related algorithms are described in detail. Due to the characteristics of high accuracy of adaptive binary tree space subdivision and strong adaptability of scene graph, the paper proposes the new management model that combines adaptive binary tree space subdivision algorithm to scene graph, forming the strategy of scene management. It not only expands the range of application of scene organization, but also can help to improve the subsequent rendering efficiency. The experimental results have demonstrated that our method greatly shortens the three-dimensional scene organization time, and accelerates real-time rendering speed of complex scene.

关键词： adaptive binary tree scene graph scene management spatial subdivision algorithm optimization

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Streamline Density Peak Clustering for Practical Adoptions 19

Streamline Density Peak Clustering for Practical Adoptions

引用

28th ACM International Conference on Information and Knowledge Management (CIKM)

作者： Yang, Shuai Shen, Xipeng Chi, Min North Carolina State Univ Raleigh NC 27695 USA

ISBN: (纸本)9781450369763

Since Density Peak Clustering (DPC) algorithm was proposed in 2014, it has drawn lots of interest in various domains. As a clustering method, DPC features superior generality, robustness, lexibility and simplicity. There are however two main roadblocks for its practical adoptions, both centered around the selection of cutof distance, the single critical hyperparameter of DPC. This work proposes an improved algorithm named Streamlined Density Peak Clustering (SDPC). SDPC speeds up DPC executions on a sequence of cutof distances by 2.2-8.8X while at the same time reducing memory usage by a magnitude. As an algorithm preserving the original semantic of DPC, SDPC ofers an eicient and scalable drop-in replacement of DPC for data clustering.

关键词： density clustering algorithm optimization hyperparameter tuning

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Face Recognition Technology for Ubiquitous Computing Environment

引用

5th International Conference on Universal Access in Human-Computer Interaction held at the HCI International 2009

作者： Jeong, Kanghun Hong, Seongrok Joo, Ilyang Lee, Jaehoon Moon, Hyeonjoon Sejong Univ Sch Comp Engn Seoul South Korea

ISBN: (纸本)9783642027093

In this paper, we explore face detection and face recognition algorithms for ubiquitous computing environment. We develop algorithms for application programming interface (API) suitable for embedded system. The basic requirements include appropriate data format and collection of feature data to achieve efficiency of algorithm. Our experiment presents a face detection and face recognition algorithm for handheld devices. The essential part for proposed system includes;integer representation from floating point calculation. optimization of memory management scheme and efficient face detection performance on complex background scene.

关键词： ubiquitous computing environment face recognition face detection application programming interface algorithm optimization

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Financial Data Forecasting Using Optimized Echo State Network 1

引用

25th International Conference on Neural Information Processing (ICONIP)

作者： Liu, Junxiu Sun, Tiening Luo, Yuling Fu, Qiang Cao, Yi Zhai, Jia Ding, Xuemei Guangxi Normal Univ Fac Elect Engn Guilin 541004 Peoples R China Univ Surrey Surrey Business Sch Dept Business Transformat & Sustainable Enterpris Guildford GU2 7XH Surrey England Univ Salford Salford Business Sch 43 Crescent Salford M5 4WT Lancs England Fujian Normal Univ Coll Math & Informat Fuzhou 350108 Peoples R China Ulster Univ Sch Comp Engn & Intelligent Syst Coleraine BT48 7JL Londonderry North Ireland

ISBN: (数字)9783030042219

ISBN: (纸本)9783030042219;9783030042202

The echo state network (ESN) is a dynamic neural network, which simplifies the training process in the conventional neural network. Due to its powerful non-linear computing ability, it has been applied to predict the time series. However, the parameters of the ESN need to be set experimentally, which can lead to instable performance and there is space to further improve its performance. In order to address this challenge, an improved fruit fly optimization algorithm (IFOA) is proposed in this work to optimize four key parameters of the ESN. Compared to the original fruit fly optimization algorithm (FOA), the proposed IFOA improves the optimization efficiency, where two novel particles are proposed in the fruit flies swarm, and the search process of the swarm is transformed from two-dimensional to three-dimensional space. The proposed approach is applied to financial data sets. Experimental results show that the proposed FOA-ESN and IFOA-ESN models are more effective (similar to 50% improvement) than others, and the IFOA-ESN can obtain the best prediction accuracy.

关键词： Echo state network Fruit fly algorithm Time series algorithm optimization

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BWC: A Ballast Water Curve algorithm for Optimizing Ship Fuel Consumption 23

BWC: A Ballast Water Curve Algorithm for Optimizing Ship Fue...

引用

23rd IEEE International Conference on Data Mining (IEEE ICDM)

作者： Yao, Yan Feng, Shanshan Hu, Hanwen Xu, Shenglin Qian, Shiyou Qu, Bin Zhai, Diankun Qufu Normal Univ Sch Comp Sci Rizhao Peoples R China Shanghai Jiao Tong Univ Dept Comp Engn & Sci Shanghai Peoples R China Shanghai Commun Water Transportat Desing & Res Co Shanghai Peoples R China CCCC Third Harbor Engn Co Ltd Engn Co Ltd Shanghai Peoples R China Shandong Normal Univ Sch Informat Sci & Engn Jinan Peoples R China

ISBN: (纸本)9798350381641

During navigation in inland waterways, ships must maintain a certain amount of ballast water to pass safely under bridges with different height limits. In this paper, we propose the Ballast Water Curve (BWC) algorithm, which can dynamically adjust the ballast water of ships during navigation according to the height limit of bridges. By using BWC, ships can pass under bridges safely and efficiently, significantly reducing their fuel consumption. Firstly, a theoretical model is established to quantify the relationship between fuel consumption and ship ballast water. Secondly, the concept of "invalid/inactive constraint bridges" is introduced which have no effect on the ships ballast water. Finally, the different distributions of bridges are classified, and the dynamic curve of ballast water is designed based on the greedy principle that the volume of ballast water should be as low as possible. To evaluate the effectiveness of our proposed algorithm, experiments are conducted using real bridge and ship data. The experimental results confirm that BWC can reduce the fuel consumption of ships by approximately 13%-14% compared to the static ballast water strategy. Additionally, the effect of the number of bridges, ship speed, ship ballast water volume, and flow velocity of loading/unloading water on the fuel consumption of ships is evaluated. Formulas are also devised to estimate route fuel consumption by fitting, and the effectiveness of the fitting formulas is verified.

关键词： Inland waterway transportation algorithm optimization fuel consumption optimization simulation

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Intelligent Prediction Platform of Lathe Machine Based on Back Propagation Neural Network

Intelligent Prediction Platform of Lathe Machine Based on Ba...

引用

IEEE International Conference on Advanced Manufacturing (IEEE ICAM)

作者： Chang, Wen-Yang Wu, Sheng-Jhih Lin, Bo-Shang Natl Formosa Univ Smart Machine & Intelligent Mfg Res Ctr Huwei Yunlin Taiwan Natl Formosa Univ Dept Mech & Comp Aided Engineer Huwei Yunlin Taiwan Natl Formosa Univ Dept Power Mech Engn Huwei Yunlin Taiwan Natl Formosa Univ Inst Mech & Comp Aided Engn Huwei Yunlin Taiwan

ISBN: (纸本)9781538656099

For the CNC machine tool, the processing parameters of cutting are a key factor to affect the manufacturing accuracy and tool wear. However, this study proposes a prediction system based on neural network algorithm to estimate the wear of turning tool. For neural network algorithm, the processing parameters, the cutting speed, feed rate and material removal rate are investigated as the input parameters of the BNN. The output parameters of the BNN are the wear of turning tool and the surface accuracy of workpiece. Experimental results showed that the turning cutting wear of prediction accuracy compared with the experiment is 93.44%. The max error of cutting wear between the prediction and the experiment is 15 mu m.

关键词： Backpropagation Neural Network algorithm optimization Turning Tool Wear Cutting prediction analysis

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A new efficient algorithm for DC-AC PWM waveform generation with full fundamental regulation on a single linear equation set

A new efficient algorithm for DC-AC PWM waveform generation ...

引用

29th Annual Conference of the IEEE Industrial-Electronics-Society

作者： Vicente, J Pindado, R Martinez, I Pou, J Tech Univ Catalonia Dept Elect Engn Manresa 08240 Catalonia Spain

ISBN: (纸本)0780379063

The use of the Walsh transform in DC-AC PWM waveform generation allows the calculation of the switching angles by means of linear equations dependent on the fundamental amplitude. Nevertheless, when it is needed a wide regulation of the fundamental amplitude, conventional application of Walsh transform oblige to switch among different equation sets, due to the range limitation of each one of them. In this paper it is described a new way of obtaining the switching angles that permits full regulation of the fundamental amplitude, with only a switching interval vector. Using Matlab, there have been obtained simulation results that proof the efficiency of the proposed algorithm.

关键词： algorithm optimization PWM inverters selective harmonic elimination DC-AC conversion Walsh transform

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