In order to study to design a photoelectric intelligent platform based on multifunctional edge computing equipment by using photoelectric detection equipment TC505C, RK-Series Development Kits computing platform and N...
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ISBN:
(数字)9789887581581
ISBN:
(纸本)9798350366907
In order to study to design a photoelectric intelligent platform based on multifunctional edge computing equipment by using photoelectric detection equipment TC505C, RK-Series Development Kits computing platform and Nvidia Jetson *** photoelectric intelligent platform can be used to run multiple target detection algorithms after design and *** as *** of all, after the first stage of the photoelectric intelligent platform is completed, the host computer can establish communication with the photoelectric detection equipment, carry out automatic or manual servo control on the photoelectric detection equipment, switch its visible and infrared field of view and view it in real time through the monitor, and realize simple tracking function through the image processing ***, after the second stage of the photoelectric intelligent platform is built, under the premise of ensuring the normal availability of servo function, a variety of target detection algorithms can be debugged on multifunctional edge computing ***, this paper uses the modular design concept to design, debug and implement the system in stages. Pay attention to the synchronous debugging of hardware and software functions of each module to ensure the stability of each module. Finally completed the design goals of each stage.
Industrial Internet of Things(IoT)connecting society and industrial systems represents a tremendous and promising paradigm *** IoT,multimodal and heterogeneous data from industrial devices can be easily collected,and ...
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Industrial Internet of Things(IoT)connecting society and industrial systems represents a tremendous and promising paradigm *** IoT,multimodal and heterogeneous data from industrial devices can be easily collected,and further analyzed to discover device maintenance and health related potential knowledge *** data-based fault diagnosis for industrial devices is very helpful to the sustainability and applicability of an IoT *** how to efficiently use and fuse this multimodal heterogeneous data to realize intelligent fault diagnosis is still a *** this paper,a novel Deep Multimodal Learning and Fusion(DMLF)based fault diagnosis method is proposed for addressing heterogeneous data from IoT environments where industrial devices ***,a DMLF model is designed by combining a Convolution Neural Network(CNN)and Stacked Denoising Autoencoder(SDAE)together to capture more comprehensive fault knowledge and extract features from different modal ***,these multimodal features are seamlessly integrated at a fusion layer and the resulting fused features are further used to train a classifier for recognizing potential ***,a two-stage training algorithm is proposed by combining supervised pre-training and fine-tuning to simplify the training process for deep structure models.A series of experiments are conducted over multimodal heterogeneous data from a gear device to verify our proposed fault diagnosis *** experimental results show that our method outperforms the benchmarking ones in fault diagnosis accuracy.
Deep neural networks(DNNs) have achieved remarkable success in diverse ***,it has been demonstrated that DNNs are very vulnerable to adversarial examples even in black-box settings.A large number of black-box attack m...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
Deep neural networks(DNNs) have achieved remarkable success in diverse ***,it has been demonstrated that DNNs are very vulnerable to adversarial examples even in black-box settings.A large number of black-box attack methods have been proposed to in the ***,those methods usually suffer from low success rates and large query counts,which cannot fully satisfy practical *** this paper,we propose a hybrid attack method which trains meta adversarial perturbations(MAPs) on surrogate models and performs black-box attacks by estimating gradients of the *** method uses the meta adversarial perturbation as an initialization and subsequently trains any black-box attack method for several ***,the MAPs enjoy favorable transferability and universality,in the sense that they can be employed to boost performance of other black-box adversarial attack *** experiments demonstrate that our method can not only improve the attack success rates,but also reduces the number of queries compared to other methods.
作者：
Ji, YangSchool of Automation
Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex System Beijing100081 China
This paper mainly focuses on the problem of target tracking trajectory generation for quadrotors in static complex environments. In this paper, a trajectory planning framework is proposed that can be used to address t...
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Although different multipath error models of Delay lock loop (DLL) used in GPS receiver are established, they have never been put together for comparison. Furthermore, no universal simulation method is developed to ge...
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Although different multipath error models of Delay lock loop (DLL) used in GPS receiver are established, they have never been put together for comparison. Furthermore, no universal simulation method is developed to get a fair comparison among these models. A new model with implicate expression is hence proposed for the coherent DLL and the noncoherent Dot-product (DOT) power mode DLL. Meanwhile, a new simulation method based on the anonymous function in Matlab, which is especially suitable for models with implicit expression, is also proposed to compare the new model with the existing ones. The theoretical analysis and simulation results show that the existing models are the special case of the proposed one. The new simulation method can be used for the comparison of different multipath error models and the multipath error analysis of other DLLs for which only the implicit model is available.
The code tracking error model of coherent Code tracking loop (CTL) is modified since existing model cannot accurately describe the characteristic that the code tracking error is determined by multipath and correlator ...
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The code tracking error model of coherent Code tracking loop (CTL) is modified since existing model cannot accurately describe the characteristic that the code tracking error is determined by multipath and correlator spacing in multipath. The noncoherent DOT-product (DOT) power mode CTL is established as a comparison with different CTLs in multipath. Besides, the carrier tracking error model is modified based on the established code tracking error models, which indicates that the carrier tracking error is also determined by the multipath and the correlator spacing. The presented error models indicate that the correlation between the code tracking error and carrier tracking error can be decorrelated. Theoretical analysis shows that the noncoherent DOT power mode CTL is essentially coherent when the discriminator output of carrier tracking loop is zero. The influence of multipath and correlator spacing on CTL and carrier tracking loop is analyzed by simulations.
In this article, event-triggered model predictive control (EMPC) of continuous-time nonlinear systems with bounded disturbances is studied. Two novel event-triggered control schemes are proposed. In the first strategy...
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Magnetic soft microrobots have great potential to access narrow spaces and conduct multiple tasks in the biomedical *** now,drug delivery,microsurgery,disease diagnosis,and dredging the blocked blood vessel have been ...
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Magnetic soft microrobots have great potential to access narrow spaces and conduct multiple tasks in the biomedical *** now,drug delivery,microsurgery,disease diagnosis,and dredging the blocked blood vessel have been realized by magnetic soft microrobots in vivo or in ***,as the tasks become more and more complex,more functional units have been embedded in the body of the developed magnetic *** magnetic soft microrobots with complex designed geometries,mechanisms,and magnetic orientation are now greatly challenging the fabrication of the magnetic *** this paper,we propose a new method combining photopolymerization and assembly for the fabrication of magnetic soft *** the micro-hand assembly system,magnetic modules with different shapes and materials are firstly arrayed with precise position and orientation ***,the developed photopolymerization system is employed to fix and link these modules with soft *** on the proposed fabrication method,3 kinds of soft magnetic microrobots were fabricated,and the fundamental locomotion was *** believe that the presented fabrication strategy could help accelerate the clinical application of magnetic microrobots.
A multi-level feature weighted fusion based image classification method for silicon single crystal growth process has been proposed to address the issue of the long silicon single crystal pulling times at industrial s...
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In practical applications of multi-agent systems, agents are often heterogeneous, and each type of them typically has different task objectives. For heterogeneous multi-agent reinforcement learning (HMARL), the divers...
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