As the carrier of information assets, the importance of accounting information systems is increasing with the development of informatization. Meanwhile, information systems are facing more security threats. How to eff...
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With the continuous development of science and technology, the service industry presents a personalized and diversified development trend. Analyzing data from various industries can meet the needs of more users. Suppl...
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The proceedings contain 27 papers. The special focus in this conference is on Machine Learning, Cloud computing and intelligent Mining. The topics include: Decentralized Optimal Tracking control of MRMs Under Hea...
ISBN:
(纸本)9789819616978
The proceedings contain 27 papers. The special focus in this conference is on Machine Learning, Cloud computing and intelligent Mining. The topics include: Decentralized Optimal Tracking control of MRMs Under Health Indicator-Based Event-Triggered Mechanism;iterative Learning control for Nonlinear Switched Continuous-Time systems with Time-Varying Delay;Model Migration and Joint Communication and computing Resource Allocation in Native AI Wireless Networks;FTB-RRP control for 2-D Continuous-Discrete systems in Roesser Model;Optimal UAVs Placement for TDOA Localization Method Based On An Improved Grey Wolf Optimization Algorithm;A Bat-BP Optimization Algorithm Based System of Dry Ice Decontamination for UAV;Optimal Resource Allocation Algorithm for Multi-user AI Tasks in Native AI Networks;study on Non-intrusive Load Monitoring Method Based on K-means Clustering and Dual Convolutional Neural Networks;research and Application of Computer Vision and Predictive Maintenance in Health Management of Conveying Equipment;attitude Stabilization control for Unmanned Aerial Vehicle with Robotic Arm Based on Fixed-Time Observer Active Disturbance Rejection control;state Estimation and control of Switched Neural Networks with Mode-Dependent Hybrid Dwell Time;Distributed Consensus control Research of Unmanned Aerial Vehicle (UAV) Swarms Based on Lennard-Jones Potential;lifetime Prediction of Fuel Cell Composite Operating Conditions Based on Genetic Algorithm Optimized Elman Neural Network;a Tiered Native Digital Twin for Telco Networks;defender: The Possibility of Repairing Jailbreak Defects;research on Special Vision Recognition and Fault Alarm System for Vertical Roller;malicious Traffic Classification Algorithm Based on Multimodal Fusion;Enhanced Affine Formation control in Multi-agent systems with Disturbance Rejection Using RISE controller;model Predictive control for Contour control in Biaxial System.
In this paper, a novel method of writer-independent online signature verification is put forward, employing Siamese-architected recurrent neural networks (RNNs). A bidirectional strategy for accessing past and future ...
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The proceedings contain 27 papers. The special focus in this conference is on Machine Learning, Cloud computing and intelligent Mining. The topics include: Decentralized Optimal Tracking control of MRMs Under Hea...
ISBN:
(纸本)9789819624676
The proceedings contain 27 papers. The special focus in this conference is on Machine Learning, Cloud computing and intelligent Mining. The topics include: Decentralized Optimal Tracking control of MRMs Under Health Indicator-Based Event-Triggered Mechanism;iterative Learning control for Nonlinear Switched Continuous-Time systems with Time-Varying Delay;Model Migration and Joint Communication and computing Resource Allocation in Native AI Wireless Networks;FTB-RRP control for 2-D Continuous-Discrete systems in Roesser Model;Optimal UAVs Placement for TDOA Localization Method Based On An Improved Grey Wolf Optimization Algorithm;A Bat-BP Optimization Algorithm Based System of Dry Ice Decontamination for UAV;Optimal Resource Allocation Algorithm for Multi-user AI Tasks in Native AI Networks;study on Non-intrusive Load Monitoring Method Based on K-means Clustering and Dual Convolutional Neural Networks;research and Application of Computer Vision and Predictive Maintenance in Health Management of Conveying Equipment;attitude Stabilization control for Unmanned Aerial Vehicle with Robotic Arm Based on Fixed-Time Observer Active Disturbance Rejection control;state Estimation and control of Switched Neural Networks with Mode-Dependent Hybrid Dwell Time;Distributed Consensus control Research of Unmanned Aerial Vehicle (UAV) Swarms Based on Lennard-Jones Potential;lifetime Prediction of Fuel Cell Composite Operating Conditions Based on Genetic Algorithm Optimized Elman Neural Network;a Tiered Native Digital Twin for Telco Networks;defender: The Possibility of Repairing Jailbreak Defects;research on Special Vision Recognition and Fault Alarm System for Vertical Roller;malicious Traffic Classification Algorithm Based on Multimodal Fusion;Enhanced Affine Formation control in Multi-agent systems with Disturbance Rejection Using RISE controller;model Predictive control for Contour control in Biaxial System.
The rapid advancements in sectors such as Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), networking and cloud computing are opening the opportunity for integrating these techniques with...
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ISBN:
(纸本)9798350368130
The rapid advancements in sectors such as Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), networking and cloud computing are opening the opportunity for integrating these techniques with robots from the manufacturing field, with the promising perspective of improved performance at reduced costs, inspiring the new field of cloud robotics. In this paper, we propose an architecture for integrating industrial robots with Cloud AI object recognition services. For our proposed solution, we explore the results obtained by simulating a sorting task in RobotStudio, communicating with Microsoft Azure Custom Vision API by sending the web service calls from a computer running a Python script. We present the cycle time added by the communication with the cloud service and test the robustness of the system by comparing the results obtained with four sets of images: unaltered, altered with gaussian noise, barrel distortion and both.
Driving assistance and autonomous driving technology are key technologies for avoiding accidents in the future, and their technological development mainly relies on computing power and efficiency, big data in driving ...
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The proceedings contain 27 papers. The special focus in this conference is on Machine Learning, Cloud computing and intelligent Mining. The topics include: Decentralized Optimal Tracking control of MRMs Under Hea...
ISBN:
(纸本)9789819616930
The proceedings contain 27 papers. The special focus in this conference is on Machine Learning, Cloud computing and intelligent Mining. The topics include: Decentralized Optimal Tracking control of MRMs Under Health Indicator-Based Event-Triggered Mechanism;iterative Learning control for Nonlinear Switched Continuous-Time systems with Time-Varying Delay;Model Migration and Joint Communication and computing Resource Allocation in Native AI Wireless Networks;FTB-RRP control for 2-D Continuous-Discrete systems in Roesser Model;Optimal UAVs Placement for TDOA Localization Method Based On An Improved Grey Wolf Optimization Algorithm;A Bat-BP Optimization Algorithm Based System of Dry Ice Decontamination for UAV;Optimal Resource Allocation Algorithm for Multi-user AI Tasks in Native AI Networks;study on Non-intrusive Load Monitoring Method Based on K-means Clustering and Dual Convolutional Neural Networks;research and Application of Computer Vision and Predictive Maintenance in Health Management of Conveying Equipment;attitude Stabilization control for Unmanned Aerial Vehicle with Robotic Arm Based on Fixed-Time Observer Active Disturbance Rejection control;state Estimation and control of Switched Neural Networks with Mode-Dependent Hybrid Dwell Time;Distributed Consensus control Research of Unmanned Aerial Vehicle (UAV) Swarms Based on Lennard-Jones Potential;lifetime Prediction of Fuel Cell Composite Operating Conditions Based on Genetic Algorithm Optimized Elman Neural Network;a Tiered Native Digital Twin for Telco Networks;defender: The Possibility of Repairing Jailbreak Defects;research on Special Vision Recognition and Fault Alarm System for Vertical Roller;malicious Traffic Classification Algorithm Based on Multimodal Fusion;Enhanced Affine Formation control in Multi-agent systems with Disturbance Rejection Using RISE controller;model Predictive control for Contour control in Biaxial System.
This paper proposes a new control method to operate robots in conjunction with music. The robots are controlled with an algorithm that can automatically calculate the tempo of music progression and the current positio...
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ISBN:
(纸本)9781665499248
This paper proposes a new control method to operate robots in conjunction with music. The robots are controlled with an algorithm that can automatically calculate the tempo of music progression and the current position in music by utilizing standard MIDI data, a digital music format. We show an actual case where a robot motion following the music is achieved by a music input whose tempo is not known in advance.
Multi-path effect is an important issue for shipped radar tracking and measuring the target at low elevation angles in the sea. Due to the multi-path effect, the radar elevation angles error voltage trembles drastical...
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