the proceedings contain 27 papers. the topics discussed include: an ocean time series prediction framework based on improved PSO with multiscale learning;hierarchical multi-scale synergistic fusion network for patholo...
ISBN:
(纸本)9798400711848
the proceedings contain 27 papers. the topics discussed include: an ocean time series prediction framework based on improved PSO with multiscale learning;hierarchical multi-scale synergistic fusion network for pathological myopia ATN classification;comparison of the effectiveness of extended Kalman filter and machine learning algorithms in sensor fusion;image dehazing algorithm based on dark channel sky region segmentation;visual analysis of yarn tension research;research on multi-task parallel PLC control based on data flow clustering algorithm;semi-supervised object detection based on dense information mining from teacher model;and traffic flow prediction based on convolutional neural network and long and short-term memory network.
the proceedings contain 83 papers. the topics discussed include: application of nonnegative matrix factorization in intelligent patrol inspection of substations;deep learning-enhanced fingerprint generation and securi...
ISBN:
(纸本)9798350343618
the proceedings contain 83 papers. the topics discussed include: application of nonnegative matrix factorization in intelligent patrol inspection of substations;deep learning-enhanced fingerprint generation and security verification in the context of Siamese network matching models;a study on scratch defect detection of ceramic blades based on improved YOLOv5;feature-aligned feature pyramid network and center-assisted anchor matching for small face detection;identification of user-transformer relationship based on dynamic time warping algorithm and two-stage clustering algorithm;degradation adaption based heterogeneous face hallucination;lightweight IOT-based authentication scheme in 5G circumstance;and research and improvement of secure hash algorithm based on MD5.
the proceedings contain 128 papers. the topics discussed include: visual SLAM with 3D gaussian primitives and depth priors enabling novel view synthesis;Tibetan medicine intelligent consultation system based on graph ...
ISBN:
(纸本)9798350378542
the proceedings contain 128 papers. the topics discussed include: visual SLAM with 3D gaussian primitives and depth priors enabling novel view synthesis;Tibetan medicine intelligent consultation system based on graph database;emo-care: emotional interaction system based on multimodal fusion and edge intelligence for emotional care;an enhanced graph infomax model combined with convolutional neural network for acupoint compatibility representation learning;research on dynamic music emotion recognition method for sound and light fusion emotion regulation;multimodal depression recognition based on self-supervised learning;the iterative query knowledge graph completion strategy;and design and implementation of parallel deterministic network system.
the proceedings contain 135 papers. the topics discussed include: the quality of e-banking services and their role in achieving customer loyalty: a case study;comprehensive review and applications of power electronic ...
ISBN:
(纸本)9798350372632
the proceedings contain 135 papers. the topics discussed include: the quality of e-banking services and their role in achieving customer loyalty: a case study;comprehensive review and applications of power electronic transformer for optimal power integration;assessing the readiness of implementing strategic information systems in Libyan universities;imaging histopathology of breast cancer for detection;airline scheduling model using genetic algorithm;nonlinear control design for quadrotor system;domain adaptation generative model for segmenting 3D MRI pediatric brain;adaptive wavelet techniques for pattern analysis;comprehensive review and applications of solid-state transformer for optimal energy integration;and flexible wideband microwave absorbers with frequency selective surface based on mechanically treated foiled polymer film.
the proceedings contain 112 papers. the topics discussed include: multi-cycle deep recurrent learning for power consumption time series prediction;research on compressed sensing and transmission methods of video resou...
ISBN:
(纸本)9798350308877
the proceedings contain 112 papers. the topics discussed include: multi-cycle deep recurrent learning for power consumption time series prediction;research on compressed sensing and transmission methods of video resources based on virtual reality;IoTAEG: automatic exploit generation of IoT devices;couple-group consensus for leader-following nonlinear multi-agent systems under network attacks and decay;research on improving the deep learning model of differential privacy using normalization method;target vessel motion model in an intelligent collision avoidance simulation system;automatic deflection detection of bridge and gantry cranes based on PLC control technology;construction of multi-scale target detection model for security signage recognition;an improved target detection algorithm applied to domestic edge computing module;and detection of traffic signs in complex weather conditions based on YOLOv5.
this paper proposes a recovery method for missing multi-variate time-varying data in Fog Computing-based Industrial internet of things. Withthe rapid development of internet, handling high-dimensional non-Euclidean d...
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ISBN:
(纸本)9798400711848
this paper proposes a recovery method for missing multi-variate time-varying data in Fog Computing-based Industrial internet of things. Withthe rapid development of internet, handling high-dimensional non-Euclidean data has become a significant challenge. To address this issue, this paper employs Graph Convolutional Networks (GCN) to capture the underlying structure of the data and analyzes the relationships between datasets through convolutional networks. this method is capable of estimating true signals from partially missing or corrupted observations, effectively restoring missing sensor data. through simulation experiments, the effectiveness of this method has been demonstrated in restoring missing data that follows Pearson correlation coefficients, identical distributions, and linear coefficients.
the present study presents the design and implementation of a PLC and WinCC based automatic production line control system for parts sorting and adjustment. Four Siemens S7-1200 PLCs are utilized as the primary contro...
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ISBN:
(纸本)9798400711848
the present study presents the design and implementation of a PLC and WinCC based automatic production line control system for parts sorting and adjustment. Four Siemens S7-1200 PLCs are utilized as the primary controllers, while a computer equipped with WinCC software serves as the supervisory control unit for system monitoring and operation. the system consists of four stations: Appearance defect detection station, height and weight detection station, direction adjustment station, and parts sorting station;each controlled by an individual PLC. It successfully incorporates features such as automatic/manual mode switching, emergency stop functionality, status display capabilities, and efficient human-machine interaction. Upon thorough verification testing, the system exhibits remarkable stability, user-friendly operation interface, and robust real-time performance.
Withthe continuous development and application of internet of things technology, smart agriculture will become the trend of future agricultural development. Based on the current development needs of smart agriculture...
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ISBN:
(纸本)9798400711848
Withthe continuous development and application of internet of things technology, smart agriculture will become the trend of future agricultural development. Based on the current development needs of smart agriculture, a remote control system for smart agriculture data collection has been designed. the system adopts an open system architecture of wireless sensor networks and wireless networks, utilizing sensors from each node to collect environmental parameters, and then communicating withthe cloud platform through wireless networks to complete remote data transmission and intelligent control. the experimental results show that the system can stably and reliably achieve data collection and transmission, providing an effective solution for the collection and control of agricultural production environment parameters.
Multi-task parallel data has more categories and huge data streams, which leads to its poor control ability and increases the IoT access burden and communication overhead. In order to improve the stability of data flo...
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ISBN:
(纸本)9798400711848
Multi-task parallel data has more categories and huge data streams, which leads to its poor control ability and increases the IoT access burden and communication overhead. In order to improve the stability of data flow and standardize the data flow access process, a multi-task parallel data control method based on data flow clustering algorithm is proposed. Firstly, the data acquisition and monitoring system is used to obtain the IoT data streams from three aspects: identification, acquisition and verification;then the Euclidean distance between the dynamic trends of each data stream is calculated, so that the data stream similarity measure is unified;the optimized data streams are substituted into the clustering algorithm, which reasonably corresponds to the task request according to the data stream timestamps;and finally, the PLC controller is used to realize the multi-task parallel data control. the experimental results show that the proposed method has high scalability and high acceleration ratio.
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