This paper proposes a Finite-Time Fractional-Order Sliding Mode Controller (FTFOSMC) for the three-dimensional trajectory tracking of an underactuated Autonomous Underwater Vehicle (AUV) using only three available con...
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This paper presents a cloud service scheme to predict tool wear. When lacking sufficient historical tool wear data for building a data-driven model, predicting tool life is challenging while under various cutting cond...
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Industrial standards define domain-specific languages that are frequently used for developing control software. For instance, IEC 61499 standardizes a graphical modeling language that includes a platform-independent a...
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ISBN:
(纸本)9781728129891
Industrial standards define domain-specific languages that are frequently used for developing control software. For instance, IEC 61499 standardizes a graphical modeling language that includes a platform-independent application model. The application is composed of Function Blocks. A runtime can execute the model by implementing the semantics that is described in the standard in natural language. By defining an interpreter for IEC 61499 models, we can directly execute them without prior code generation. This enables providing feedback directly on the model level. We present an interpreter for Basic Function Blocks, which encapsulate a state-based Execution Control Chart. An existing EMF meta-model for IEC 61499 was extended with an operational semantics implemented in Java and Xtend. The test cases are defined either in Java or as an interface model. Such a model is standardized in IEC 61499 as Service Sequences. We evaluate our interpreter by executing the Basic Function Blocks that are defined in the standard and compare our results to those of the open-source runtime 4diac FORTE. As a practical use case, we show how developers can use the interpreter for unit testing self-defined Basic Function Blocks.
This paper studies the convolutional neural network applied in medical image processing, and with glioma MRI figure as a specific research problem, the medical images using convolution neural network structure, change...
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This manuscript presents a method to program everyday manipulation tasks for a robot by human demonstration using primitive skills. The hand movement in the demonstrated task is recorded then segmented into sub-action...
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Clouds are the core of weather observation and forecasting. They help promote the water cycle and the entire climate system. Accurate and automatic recognition of cloud types is one of the important applied researches...
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Active knowledge aided system is described in the paper according to the Characteristics of previous knowledge aided system. The construction mechanism of active knowledge aided system is proposed by giving the exampl...
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This paper presents the development of a micro-scale positioning device based on two degrees of freedom (DOF) plane compliant parallel mechanism, which is featured by piezo-driven actuators and flexure joints, integra...
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Dynamic route guidance is an important part of the intelligent transportation system(ITS), first of all the characteristic of dynamic route guidance was analyzed. For the requirement of real-time guidance, a kind of n...
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In recent years,deep learning has been widely used in industrial remaining useful life(RUL) ***,most methods does not distinguish the importance of samples at different time *** order to solve this problem,this paper ...
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ISBN:
(纸本)9781665431293
In recent years,deep learning has been widely used in industrial remaining useful life(RUL) ***,most methods does not distinguish the importance of samples at different time *** order to solve this problem,this paper introduces an attention layer in neural network,and uses the multi-network collaborative training method to predict the remaining useful *** Neural Networks(CNN) are used to extract the data information under the spatial span,and Bidirectional Gated Recurrent Units(BGRU) are used to capture the time *** parameter sharing and loss feedback,the improved genetic algorithm learns the attention weights of different time *** proposed method is validated on turbofan engine data and the experimental results show that the method outperforms several state-of-the-art methods.
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