Aiming at the problem that a large amount of background information in the videos cause low judgment of actions, this paper proposed a graph model based on patterntheory for human complex action recognition. Firstly,...
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Climate change is causing a structural change in Arctic ecosystems, decreasing the effectiveness that the polar regions have in cooling water masses, with inevitable repercussions on the climate and with an impact on ...
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the brain-computer interface system provides a solution for the paralyzed patients with motor disability, while the traditional general spatial pattern (CSP) extracts the features of electroencephalogram (EEG) signals...
the brain-computer interface system provides a solution for the paralyzed patients with motor disability, while the traditional general spatial pattern (CSP) extracts the features of electroencephalogram (EEG) signals only to extract the spatial domain information between the channels, but elide the information features of the signal in time domain and frequency domain to improve the classification accuracy of motion imagination EEG in brain-computer interface system. In this paper, we propose a feature extraction algorithm for motion imagination signal based on wavelet packet decomposition and CSP algorithm. the motion imagination mu rhythm and ß rhythm are extracted by wavelet packet decomposition, and the interference signal is deleted to the maximum extent by using the limitation of time window. CSP algorithm is used to filter spatial domain to extract features. With wavelet packet decomposition and CSP algorithm, the frequency domain and spatial domain information of the signal are fully utilized. In this paper, we design a complete process of filtering, processing and analyzing motion imagination signals from signals. the recognition rate of two kinds of motion imagination signals can reach 88.86%.
An innovative abstraction technique to represent both mathematically and visually some geometric properties of the facing stones in a wall is presented. the technique has been developed within the W.A.L.(L) Project, a...
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Credit rating is an analysis of the credit risks associated with a corporation, which reflect the level of the riskiness and reliability in investing. there have emerged many studies that implement machine learning te...
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An efficient lace fabric image retrieval method based on DCNN learning features is proposed in this paper. Fine-tuning with Siamese Neural Network is used to learn effective feature of lace fabric image. During the pr...
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ISBN:
(纸本)9781665446006
An efficient lace fabric image retrieval method based on DCNN learning features is proposed in this paper. Fine-tuning with Siamese Neural Network is used to learn effective feature of lace fabric image. During the process of training the Siamese Neural Network, hard negative pairs are selective to achieve fast convergence and good performance. the DCNN learning features are combined withthe unique shape feature to enable accurate and efficient retrieval of massive image data. Experimental results demonstrate the effectiveness of retrieval performance of the proposed algorithm and possible practical application of the retrieval system in lace fabric industry to improve management efficiency.
the proceedings contain 142 papers. the special focus in this conference is on Artificial Intelligence and Security. the topics include: Detecting Bluetooth Attacks Against Smartphones by Device Status recognition;cov...
ISBN:
(纸本)9783030578831
the proceedings contain 142 papers. the special focus in this conference is on Artificial Intelligence and Security. the topics include: Detecting Bluetooth Attacks Against Smartphones by Device Status recognition;covered Face recognition Based on Deep Convolution Generative Adversarial Networks;an Efficient Method for Generating Matrices of Quantum Logic Circuits;a Mobile Device Multitasking Model with Multiple Mobile Edge Computing Servers;A Localization Algorithm Based on Emulating Large Bandwidth with Passive RFID Tags;an Efficient Approach for Selecting a Secure Relay Node in Fog Computing Social Ties Network;a Research for 2-m Temperature Prediction Based on Machine Learning;a New Scheme for Essential Proteins Identification in Dynamic Weighted Protein-Protein Interaction Networks;on Enterprises’ Total Budget Management Based on Big Data Analysis;computing Sentence Embedding by Merging Syntactic Parsing Tree and Word Embedding;ioT Device recognition Framework Based on Network Protocol Keyword Query;Application of ARIMA Model in Financial Time Series in Stocks;a Topological Control Algorithm Based on Energy Consumption Analysis and Locomotion of Nodes in Ad Hoc Network;A Simulation Platform for the Brain-Computer Interface (BCI) Based Smart Wheelchair;a Learning Resource Recommendation Model Based on Fusion of Sequential Information;A Convolutional Neural Network-Based Complexity Reduction Scheme in 3D-HEVC;air Quality Index Prediction Based on Deep Recurrent Neural Network;sparse Representation for Face recognition Based on Projective Dictionary Pair Learning;An Improved HF Channel Wideband Detection Method Based on Scattering Function;research on Quality Control of Marine Monitoring Data Based on Extreme Learning Machine;an Overview of Cross-Language Information Retrieval.
the proceedings contain 142 papers. the special focus in this conference is on Artificial Intelligence and Security. the topics include: Detecting Bluetooth Attacks Against Smartphones by Device Status recognition;cov...
ISBN:
(纸本)9783030578800
the proceedings contain 142 papers. the special focus in this conference is on Artificial Intelligence and Security. the topics include: Detecting Bluetooth Attacks Against Smartphones by Device Status recognition;covered Face recognition Based on Deep Convolution Generative Adversarial Networks;an Efficient Method for Generating Matrices of Quantum Logic Circuits;a Mobile Device Multitasking Model with Multiple Mobile Edge Computing Servers;A Localization Algorithm Based on Emulating Large Bandwidth with Passive RFID Tags;an Efficient Approach for Selecting a Secure Relay Node in Fog Computing Social Ties Network;a Research for 2-m Temperature Prediction Based on Machine Learning;a New Scheme for Essential Proteins Identification in Dynamic Weighted Protein-Protein Interaction Networks;on Enterprises’ Total Budget Management Based on Big Data Analysis;computing Sentence Embedding by Merging Syntactic Parsing Tree and Word Embedding;ioT Device recognition Framework Based on Network Protocol Keyword Query;Application of ARIMA Model in Financial Time Series in Stocks;a Topological Control Algorithm Based on Energy Consumption Analysis and Locomotion of Nodes in Ad Hoc Network;A Simulation Platform for the Brain-Computer Interface (BCI) Based Smart Wheelchair;a Learning Resource Recommendation Model Based on Fusion of Sequential Information;A Convolutional Neural Network-Based Complexity Reduction Scheme in 3D-HEVC;air Quality Index Prediction Based on Deep Recurrent Neural Network;sparse Representation for Face recognition Based on Projective Dictionary Pair Learning;An Improved HF Channel Wideband Detection Method Based on Scattering Function;research on Quality Control of Marine Monitoring Data Based on Extreme Learning Machine;an Overview of Cross-Language Information Retrieval.
the recognition of human activities captured by a wearable photo-camera is especially suited for understanding the behavior of a person. However, it has received comparatively little attention with respect to activity...
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At present, in the field of radar emitter classification, theoretical simulation is mostly used to carry out algorithm research. However, there are few schemes to study signal classification in real electromagnetic en...
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ISBN:
(纸本)9781665447300
At present, in the field of radar emitter classification, theoretical simulation is mostly used to carry out algorithm research. However, there are few schemes to study signal classification in real electromagnetic environment using actual hardware. therefore, this paper proposes a radar emitter classification scheme based on HackRF Software Defined Radio (SDR) and deep learning to solve the problem of weak engineering practice. Firstly, the GNU Radio development environment is used to realize the integration design of real space signal transceiver and time-frequency analysis algorithm application on HackRF hardware platform. then, a classification model with 11 layers network is constructed to automatically extract the deep features of intra-pulse signal time-frequency image. Finally, the classification performance of eight kinds of signals in real electromagnetic environment is tested. the total recognition accuracy of this scheme is more than 83% under 6dB low Signal-to-Noise Ratio (SNR), which proves the effectiveness of the scheme, and provides an important basis for practical engineering application in the future.
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