This paper juxtaposes performance of the grammar-based classifier system (GCS) with tabular representation algorithm (TBL) on the task of inducing context-free grammars from partially structured examples. In both case...
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In order to test the safety of diving in shallow waters, this design uses a small submersible safety detection underwater robot based on STM32 microcontroller, which can be used as a small cable unmanned underwater ro...
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Least square method is widely applied in the field of self-adaptation control for it has well statistical property,such as consistency and *** we can improve the control effect of Second-order System by using least sq...
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In view of Chaos is such a complex nonlinear systems, we analyze the parameters of initial sensitivity and unpredictability, and use a universal adaptive controller based on adaptive control theory, combined with the ...
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In order to realize the visual detection and location search of shipwrecked at sea, a method for detecting shipwrecked at sea based on multi-beam local scene robust location is proposed. A visual image feature detecti...
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The plan to design hardware real-time operating system based on FPGA is presented and the harden of the μC/OS-II is done, in order to resolve the problem that the realtime operating system kernel takes a lot of syste...
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The Advanced Encryption Standard algorithm itself does not guarantee error free operation or detection of arising errors. Contemporary research has shown that even single bit errors strongly affect the output of the a...
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ISBN:
(纸本)8374810351
The Advanced Encryption Standard algorithm itself does not guarantee error free operation or detection of arising errors. Contemporary research has shown that even single bit errors strongly affect the output of the algorithm. Moreover an attacker may maliciously induct errors during the run of the AES in order to perform cryptanalysis and recover the encryption secret key. In this paper we propose an extension of error detection code for AES, known from an open literature. The implementation of our idea leads to the improvement of error detection ability and reduces of the probability of successful fault analysis below 2-7. Copyright 2006 IFAC.
With the rapid development of mechanical equipment,mechanical health monitoring field has entered the era of big *** learning has made a great achievement in the processing of large data of image and speech due to the...
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With the rapid development of mechanical equipment,mechanical health monitoring field has entered the era of big *** learning has made a great achievement in the processing of large data of image and speech due to the powerful modeling capabilities,this also brings influence to the mechanical fault diagnosis ***,according to the characteristics of motor vibration signals(nonstationary and difficult to deal with)and mechanical‘big data’,combined with deep learning,a motor fault diagnosis method based on stacked de-noising auto-encoder is *** frequency domain signals obtained by the Fourier transform are used as input to the *** method can extract features adaptively and unsupervised,and get rid of the dependence of traditional machine learning methods on human extraction features.A supervised fine tuning of the model is then carried out by *** Asynchronous motor in Drivetrain Dynamics Simulator system was taken as the research object,the effectiveness of the proposed method was verified by a large number of data,and research on visualization of network output,the results shown that the SDAE method is more efficient and more intelligent.
Wireless communication relies on resource allocation to realize data transmission. The complex communication environment challenges resource allocation under harsh conditions, so optimizing resource allocation in comm...
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The temperature control system has the characteristic of non-linearity, large inertia and time variability. It is difficulty to overcome the effects of these factors and get the satisfactory results with using the nor...
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