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检索条件"任意字段=Proceedings - 3rd International Conference on Distributed Computing Systems."

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3rd international conference on Autonomous Unmanned systems. ICAUS 2023

3rd International Conference on Autonomous Unmanned Systems,...

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3rd international conference on Autonomous Unmanned systems. ICAUS 2023

ISBN: (纸本)9789819710867

The proceedings contain 93 papers. The special focus in this conference is on Autonomous Unmanned systems. The topics include: Multi-UAV Collaborative Search Strategy Based on Improved Genetic Algorithm;Joint Beamforming and Power Allocation in a MIMO Radar Network with Per-antenna Power Control;intelligent Trajectory Planning Algorithm for Unmanned Aerial Vehicles Based on Track Deception Against Radar Networks;Maneuvering Multi-target Tracking Based on DLSTM and Dynamic Association Gate;A DNN-Based GLMB Algorithm for Multi-sensor Multi-target Tracking with Dense Group Clutter;efficient Multiple Extended Target Tracking Based on Minimum Spanning Tree;improved Adaptive Sliding Mode Cooperative Guidance Law with Multi-constraints;a Cooperative Guidance Law with Multi-constraints for Intercepting Maneuvering Target;alleviating Local Optima and Enhancing Path Planning: A Deep Reinforcement Learning Approach for Autonomous Exploration;Research on Target Tracking Algorithm Between UAVs in Unknown Environment;a Maneuver Detection-Range Parameterized Cubature Kalman Filter for Bearings-Only Maneuvering Target Tracking;improvement of Ensemble Kalman Filter for Hypersonic Target Tracking;anti-bias Target Association Method Based on Laplacian Spectrum and Kuhn-Munkres Algorithm;Fully Automated UAV Cluster Pollution Source Detection Algorithm;Status and Application of Artificial Intelligence-Based Cooperative Positioning and Navigation Technology for UAV Clusters;a Fusion Method with Information Gains for distributed Multi-sensor Network;space Targets Tracking Algorithm Based on Improved State Equation with Universal Variable Updating;Multi-UAV Target Localization Based on 3D Object Detection and Visual Fusion;Real-World Experiments on Acoustic Detection of Small UAVs;relative Localization of Vehicle-to-Drone Coordination Based on Lidar;P-LVIO: A Plane-Based Lidar Visual Inertial Odometry in Urban Environments;a New Threat Assessment Method for Airborne Targets Based on Dynami

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3rd international conference on Autonomous Unmanned systems. ICAUS 2023

3rd International Conference on Autonomous Unmanned Systems,...

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3rd international conference on Autonomous Unmanned systems. ICAUS 2023

ISBN: (纸本)9789819710829

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proceedings of 3rd international conference on AI-ML systems. AIMLsystems.2023

Proceedings of 3rd International Conference on AI-ML Systems...

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3rd international conference on AI-ML systems. AIMLsystems.2023

ISBN: (纸本)9798400716492

The proceedings contain 62 papers. The topics discussed include: design-space exploration of systolic array for edge inferencing applications;TinyML-driven on-device personalized human activity recognition and auto-deployment to smart bands;managed bidirectional charging of electric fleets with arbitrage;soil moisture prediction using deep learning on hyperspectral data;predicting depth of anesthesia using EEG signals and deep convolution network;predicting depth of anesthesia using EEG signals and deep convolution network;SecureFrameNet: a rich computing capable secure framework for deploying neural network models on edge protected system;unveiling user influence: an adaptive algorithm for socialness estimation through user-reply semantics;and YOLOv7-DocInstSeg: efficient instance segmentation framework for document analysis and recognition.

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3rd international conference on Autonomous Unmanned systems. ICAUS 2023

3rd International Conference on Autonomous Unmanned Systems,...

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3rd international conference on Autonomous Unmanned systems. ICAUS 2023

ISBN: (纸本)9789819710980

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3rd international conference on Autonomous Unmanned systems. ICAUS 2023

3rd International Conference on Autonomous Unmanned Systems,...

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3rd international conference on Autonomous Unmanned systems. ICAUS 2023

ISBN: (纸本)9789819710904

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3rd international conference on Autonomous Unmanned systems. ICAUS 2023

3rd International Conference on Autonomous Unmanned Systems,...

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3rd international conference on Autonomous Unmanned systems. ICAUS 2023

ISBN: (纸本)9789819711062

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proceedings - 2024 IEEE international conference on Intelligent systems. Smart and Green Technologies, ICISSGT 2024

Proceedings - 2024 IEEE International Conference on Intellig...

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3rd IEEE international conference on Intelligent systems. Smart and Green Technologies, ICISSGT 2024

ISBN: (纸本)9798350304329

The proceedings contain 30 papers. The topics discussed include: portable electric tiller and cutter machine;a short survey of truncated multipliers;multiport bidirectional converter with resonant and PWM modes for drives applications;data-driven urban mobility - comprehensive predictive modeling for traffic congestion;demand response based techno-socio-economic improvements with time-varying incentives at DN using cuckoo search algorithm;accomplishing power flow with UPQC in distributed generation system;a deep learning analysis on facial skin using CNN;smart ignition control and accident alert in two-wheelers;design of electric drive-train for switched reluctance motor based fuel cell electric vehicle;and similarity of depressive/anti-depressive tweets with happiness index parameters.

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Self-Optimizing distributed Cloud computing with Dynamic Neural Resource Allocation and Fault-Tolerant Multi-Agent systems 4

Self-Optimizing Distributed Cloud Computing with Dynamic Neu...

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4th international conference on Ubiquitous computing and Intelligent Information systems. ICUIS 2024

作者： Tripura, N. Divya, P. Chaganti, Koushik Reddy Rao, Kota Venkateswara Rajyalakshmi, P. Naresh, P. Vignan Institute of Technology And Science Dept of Mba Hyderabad India University of the Cumberlands Dept. of Computer and Information Systems KY United States Andhra Loyola Institute of Engineering and Technology Dept of Cse Vijayawada India Tkr College of Engineering and Technology Dept of Cse Hyderabad India Dayananda Sagar University Dept of Cse Bangalore India

ISBN: (纸本)9798331529635

The exponential growth of distributed cloud systems.necessitates an intelligent form of workload management that ensures optimum performance, scalability, and reliability. Traditional approaches based on static or heuristic resource allocation and fault-tolerance mechanisms cannot capture the dynamic nature of modern workloads and heterogeneous infrastructures. Drawing from this source of inspiration, this work develops a holistic framework integrating machine learning models that facilitate self-optimizing distributed cloud computing for dynamic workload management. Three components are significant in the proposed framework: (1) DNRA;this uses a hybrid GNN and RL architecture for real-time resource allocation, offering up to 25% improvement in resource utilization and a 30% reduction in task latency. (2) Workload-Aware Transfer Learning Scheduler (WATLS), leveraging transfer learning to predict workload dynamics across heterogeneous nodes, achieving 20% higher task throughput and 15% energy savings through proactive scheduling. (3) Multi-Agent Predictive Fault-Tolerant System (MAP-FTS), combining multi-agent systems.with predictive fault detection to preemptively redistribute tasks and schedule maintenance, reducing system downtime by 50% and enhancing fault detection accuracy to 90%. The framework integrates novel methodologies towards answering the main challenges of resource allocation, workload prediction, and fault tolerance. The amount of progress achieved through cumulative contributions includes improvement in system reliability and scalability up to 5x their nodes and respective scalable energy efficiency without any degradation of performance. This work paves the pathway for an adaptive and intelligent next generation of distributed cloud systems. © 2024 IEEE.

关键词： distributed cloud

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Leveraging Block chain for Secure and Decentralized Identity Management 3

Leveraging Block chain for Secure and Decentralized Identity...

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3rd IEEE international conference on Blockchain and distributed systems.Security, ICBDS 2024

作者： Tabbassum, Ayisha Chintale, Pradeep Akiri, Charankumar Bhasin, Nishit SEI United States Tennessee Tech University United States

ISBN: (纸本)9798350354348

It is impossible to overestimate the significance of effective and safe identity management in the current digital environment. Strong identity management systems.are now more important than ever due to the growth of online services and the growing digitalization of personal and corporate data. Identity theft, data breaches, and security lapses are commonplace with traditional centralized identity management techniques that depend on a single authoritative body for identity verification and authentication. Growing interest has been shown in using blockchain technology for identity management as a solution to these problems. Originally created as the foundational technology for cryptocurrencies like Bitcoin, blockchain provides a decentralized, impenetrable structure for organizing and preserving digital documents. Blockchain guarantees transparency, immutability, and integrity by spreading data over a network of nodes and securing transactions with cryptographic techniques. This makes it a perfect fit for identity management systems. The idea of using blockchain technology for safe, decentralized identity management is examined in this study. We seek to investigate the possible advantages, difficulties, and real-world uses of blockchain-based identity management systems.by an extensive analysis of the current literature, case studies, and real-world implementations. This study aims to give useful information for enterprises, governments, and researchers interested in deploying safe and decentralized identity management systems.in a quickly expanding digital environment by synthesizing ideas from diverse sources. © 2024 IEEE.

关键词： blockchain decentralized identity digital identity distributed ledger technology identity management self-sovereign identity

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Short-term Prediction Method of distributed Photovoltaic Power Generation Based on LSTM Network 3

Short-term Prediction Method of Distributed Photovoltaic Pow...

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3rd international conference on Intelligent Power and systems. ICIPS 2023

作者： Song, Huiyu Huang, Xiaoguang Li, Dayang Zhang, Junhua Deng, Chao Wei, Zhichu Jiangmen Power Dispatching Center Jiangmen Power Supply Bureau Jiangmen China Guangdong Key Laboratory of Clean Energy Technology South China University of Technology Guangzhou China

ISBN: (纸本)9798350328691

High-precision prediction of distributed photovoltaic power is crucial for the secure and stable operation of new power systems. The conventional prediction models based on forward neural networks or regression analyses lack historical memory, which result in low robustness and weak adaptive ability. Aiming at this issue, this paper proposes a short-term prediction method of distributed PV power generation based on the long short-term memory (LSTM) network. Firstly, this paper employs the quartile method to identify abnormal values in the dataset, and utilizes the Lagrangian interpolation method to supplement and modify them. Subsequently, a PV power prediction model based on LSTM network is developed and compared with the prediction results of random forest (RF) and multi-layer perceptron (MLP) regression models. The simulation results demonstrate that the LSTM network-based distributed PV power short-term power prediction model could effectively reflect the dynamic characteristics of the time-series data with a high level of accuracy. The prediction results provide promising data support to the power dispatch department. ©2023 IEEE.

关键词： Long short-term memory

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