Showing 1,101 - 1,120 results of 2,658 for search 'system aiming module', query time: 0.15s Refine Results
  1. 1101
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    Differential Cortical Responses of Functional and Sensory Electrical Stimulation in Closed-Loop Tremor Suppression for Parkinson’s Disease by Xiaoqi Zhao, Tinglan Huang, Mengyue Jin, Hongbo Zhao, Yu Shi, Yanlin Wang, Xiao Shen, Zhen Li, Qingqing Shi, Xiaodong Zhu, Lin Meng

    Published 2025-01-01
    “…This study investigated the differential cortical effects of FES and SES during closed-loop tremor suppression in PD patient, aiming to identify neurophysiological biomarkers for guiding personalized neuro modulation strategies. …”
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    Article
  4. 1104
  5. 1105

    TREE: Bridging the gap between reconfigurable computing and secure execution by Sérgio Pereira, Tiago Gomes, Jorge Cabral, Sandro Pinto

    Published 2025-06-01
    “…With modern computing systems shifting to heterogeneous architectures, integrating TEE support into these systems is paramount. …”
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    Article
  6. 1106
  7. 1107

    Modelling and Testing the Dynamic Properties of a Launcher with Unguided Missiles by Zbigniew J. DZIOPA, Maciej NYCKOWSKI

    Published 2022-12-01
    “…The work analyses the operation of the ZSMU-70 weapon module. The results allowed for the development of several guidelines, aiming to shape the dynamic properties of the WW-4 launcher in order to improve the effectiveness of the ZSMU-70 module. …”
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    Article
  8. 1108

    Design and Implementation of Intelligent Control Garbage Bin by Li-Fen Tu, Qi Peng, Rongpan Deng

    Published 2022-01-01
    “…The design was based on the STM32 minimum system implementation. The speech recognition module was used to receive the key words and identify which type of garbage the item belongs to. …”
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    Article
  9. 1109

    Deep learning-based prediction of multi-level just noticeable distortion by Haifeng XU, Hongkui WANG, Haibing YIN, Chuqiao CHEN

    Published 2024-01-01
    “…Visual just noticeable distortion (JND) directly reflects the sensitivity of the human visual system to visual signal noise, and is widely used in image and video processing.Aiming at the multilevel prediction problem of video JND threshold, it was transformed into the prediction problem of satisfied user ratio (SUR) curve, and a feature fusion-based SUR curve prediction model was proposed.The model was mainly divided into key frame extraction module, feature extraction and fusion module, and SUR score regression module.In the key frame extraction module, according to the visual perception mechanism, the spatial-temporal domain perception complexity was proposed and used as the video key frame judgment index.In the feature extraction and fusion module, a multi-scale dense residual network was proposed based on dense residual block (RDB) to realize image feature extraction and multi-scale fusion.The experimental results show that the proposed SUR curve prediction model is overall better than the existing models in terms of JND prediction accuracy and reduces the time cost by 8.1% on average in terms of operational efficiency.Meanwhile, the model can also be used to predict other layers of JND thresholds, which can be directly applied to video multilevel perceptual coding optimization.…”
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  10. 1110

    Modeling and implementation of a real-time digital twin for the Stewart platform with real-time trajectory computation by Xiurui Ding, Jinsheng Xing

    Published 2025-05-01
    “…This work focuses on constructing the virtual component of the digital twin using MATLAB/Simulink and subsequently integrating this virtual model with its physical counterpart to establish a comprehensive digital twin system. Unlike other models, this system includes a motion trajectory computation module. …”
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  11. 1111

    Research on Active Steering Intelligent Control Platform for Independent Wheel by ZHANG Zhen, ZHOU Wenxiang, WEN Yongxiang

    Published 2018-01-01
    “…Aiming at the application of modern tram, a new method of active steering control and its mechanical structure model were given, and the construction of supporting intelligent control system was analyzed, while a control system based on Android platform was provided. …”
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    Research on data transmission based on DDPG algorithm by Yan Danting, Jiao Xinquan

    Published 2025-01-01
    “…Aiming at the poor reliability and low transmission rate of the current data transmission system, a data transmission system is designed using FPGA and UDP protocol. …”
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  14. 1114

    Novel wobble-defended M-MULTOPS structure and its application in detecting network abnormal traffic by SUN Zhi-xin1, TANG Yi-wei1, GONG Jing1

    Published 2007-01-01
    “…A new detection method: wobble defended M-MULTOPS(modified-multi-level tree for online packet statistics) structure was presented.Aiming at the change of network traffic in core routers,ABF(adapted bloom filter) algorithm to assemble destination addresses to the IP packets was employed.And it put forward M-MULPOTS struc-ture to analyze results of the ABF algorithm,monitoring changes of network traffic and detecting network flow ab-normity in real time.For making use of the Wobble-defended M-MULTOPS structure,the method can work steadily and exactly,even when the traffic of network is wobbling terribly by the pulse attack.And because the M-MULTOPS inherits the MULTOPS ’s flexible attribution,it declined the spending of system resources at maximum.A detection system em-ploying this method has been run successfully in routers as an individual module.…”
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  15. 1115

    Design of MOM for heterogeneous platforms based on publish-subscribe mechanisms by Zhou Pu, Chai Xiaoli, Yu Zeren, Zuo Yan

    Published 2025-05-01
    “…Aiming at the interconnection demand between computing units in embedded heterogeneous computing systems, a message middleware working in publish-subscribe mode is designed for CPU and FPGA platforms. …”
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  16. 1116

    Research on Adaptive Model Predictive Control Algorithm for Remotely Operated Vehicle by ZHU Yinggu, ZHANG Dinghua, TU Shaoping, SONG Junhui

    Published 2023-12-01
    “…A mathematical simulation system including the nonlinear mathematical model of ROV, the parameter identification algorithm module and the MPC algorithm module were developed. …”
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    Article
  17. 1117

    Research on Book Recommendation Integrating Book Category Features and User Attribute Information by Yan Chen, Eric Blancaflor, Mideth Abisado

    Published 2025-01-01
    “…Aiming at the problem of poor recommendation effect caused by data sparsity in traditional collaborative filtering algorithm in book recommendation, this study proposes a personalized recommendation model (BCF-UAI) that combines book category features and user attribute information, aiming to improve the accuracy and generalization ability of the recommendation system. …”
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  18. 1118

    Multi-scale target intelligent detection method for coal, foreign object and early damage of conveyor belt surface under low illumination and dust fog by Hongwei FAN, Jinpeng LIU, Xiangang CAO, Chao ZHANG, Xuhui ZHANG, Man LI, Hongwei MA, Qinghua MAO

    Published 2024-12-01
    “…Then, aiming at the problem of insufficient feature extraction ability of backbone network, a new P_Res2Block multi-scale feature representation module is constructed by using Partial Conv and Res2Net, and it is used to replace the Bottleneck of C3 module in backbone network to obtain a new P_RC3 lightweight multi-scale feature extraction module, so as to increase the receptive field of the model and enhance the attention to small targets. …”
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  19. 1119

    Visual Place Recognition Based on Dynamic Difference and Dual-Path Feature Enhancement by Guogang Wang, Yizhen Lv, Lijie Zhao, Yunpeng Liu

    Published 2025-06-01
    “…Aiming at the problem of appearance drift and susceptibility to noise interference in visual place recognition (VPR), we propose DD–DPFE: a Dynamic Difference and Dual-Path Feature Enhancement method. …”
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    Gradient pooling distillation network for lightweight single image super-resolution reconstruction by Zhiyong Hong, GuanJie Liang, Liping Xiong

    Published 2025-02-01
    “…The single image super-resolution (SISR) is a classical problem in the field of computer vision, aiming to enhance high-resolution details from low-resolution images. …”
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