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检索条件"任意字段=Proceedings of the 6th International Conference on Algorithms, Computing and Systems"

共 6596 条记录，以下是1351-1360 订阅

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proceedings of DLfM 2019: the 6th international conference on Digital Libraries for Musicology, a Satellite Event of ISMIR 2019

Proceedings of DLfM 2019: The 6th International Conference o...

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6th international conference on Digital Libraries for Musicology, DLfM 2019, a Satellite Event of ISMIR 2019

ISBN: (纸本)9781450372084

the proceedings contain 13 papers. the topics discussed include: musicological observations during rehearsal and performance: a linked data digital library for annotations;on the adoption of standard encoding formats to ensure interoperability of music digital archives: the IEEE 1599 format;don't hide in the frames: note- and pattern-based evaluation of automated melody extraction algorithms;key-finding based on a hidden Markov model and key profiles;transposition and time-warp invariant algorithm for detecting repeated patterns in polyphonic music;and a trend analysis on concreteness of popular song lyrics.

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Optimizing Transmission Line Insulator Defect Detection: Lightweight Edge AI on UAVs

Optimizing Transmission Line Insulator Defect Detection: Lig...

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international Image Processing, Applications and systems conference (IPAS)

作者： Zhifan Song Yuan Zhang Xinrui Liao Abd Al Rahman M. Abu Ebayyeh LIP6 Laboratory CNRS UMR 7606 Sorbonne University Paris France University of California Berkeley CA United States Department of Civil and Environmental Engineering Imperial College London London UK Department of Electrical and Electronic Engineering Imperial College London London UK

ISBN: (数字)9798331506520

ISBN: (纸本)9798331506537

Effective transmission line insulator defect detection is crucial for maintaining power grid reliability and safety. Traditional methods, which often rely on ground-based inspections or cloud-based computing, can be slow and inefficient. this paper introduces EdgeIDD, a lightweight solution for real-time UAV-based insulator defect detection leveraging edge computing. By enabling on-site data processing, EdgeIDD reduces the reliance on high-bandwidth communication with central servers and addresses connectivity challenges in remote areas where most power transmission towers are constructed. Built upon YOLOv10, the latest state-of-the-art model with faster speed compared to precedent iterations by removing the post-processing step, EdgeIDD integrates minimalist design principles, replacing the complete backbone with lightweight vanilla blocks and incorporating our novel C2fP block and utilized distribution shifting convolution for accelerated feature fusion. Our model achieves a remarkable 45.2% reduction in total parameters compared to YOLOv10n while maintaining a high mean average precision (mAP) of 97.5% with minimal accuracy loss. With hardware acceleration, EdgeIDD reaches 23.3 FPS on a Raspberry Pi 5 with 7.3x speedup. this advancement in edge computing ensures rapid, reliable insulator defect detection directly from the UAV, even in areas with limited connectivity.

关键词： Power transmission lines Image edge detection Inspection Insulators Real-time systems Power grids Safety Reliability Servers Defect detection

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6th international conference on Advanced Composite Materials and Manufacturing Engineering - 1. Composed Materials and Biomaterials

6th International Conference on Advanced Composite Materials...

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2019 6th international conference on Advanced Composite Materials and Manufacturing Engineering, ACMME 2019

the proceedings contain 485 papers. the topics discussed include: evaluating comprehensive development quality of a regional power grid by using an integrated multi-criteria decision-making methodology;impact of wind power grid connection and interline short circuit faults on power grid;research on intrusion detection method base on cloud computing;analysis and comparison of Monte Carlo tree search versus ACO algorithms in distribution of resources and environment;research on Ordos model based on sustainable development perspective;application study of self-made standard dust in atmospheric particulate monitor calibration device;advances in application of alginate lyase and its enzymatic hydrolysate;crop analysis based on MATLAB image enhancement technology;mathematical modeling and optimal operation condition analysis of heat pump two-effect direct contact membrane distillation system;and simulation analysis of the vibration isolation performance of elastic mounting bracket for hydraulic pipeline.

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Analysis of a 8-Year Field-Tested PV Module Deployed in a Subtropical Environment

Analysis of a 8-Year Field-Tested PV Module Deployed in a Su...

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Smart Power & Internet Energy systems (SPIES), international conference on

作者： Sukanta Roy Alexander Stevenson Milad Behnamfar Shanzeh Batool Arif Sarwat Department of Electrical and Computer Engineering Florida International University Miami FL USA School of Computing Science Vellore Institute of Technology Bhopal India

ISBN: (数字)9798350368864

ISBN: (纸本)9798350368871

Distributed Energy Resource (DER) deployments continue to accelerate as the electric grid experiences the transformative shift to a decentralized renewable generation and distribution-based network. Photovoltaics (PV) systems in particular are an extremely attractive option for many residential and commercial owners towards electricity generation in densely populated urban areas. However, harsh environmental conditions can often accelerate the degradation of PV components which may lead to electrical issues, hazardous conditions for people and equipment, and decreases in their economic effectiveness. In this work, the failure modes and effects of PV modules are discussed as well as the inference of their effects on system reliability. Furthermore, a visual inspection and temperature analysis of a 315W solar PV module from a 8-year PV system deployed in the harsh subtropical environment of Miami, FL are performed. From these analyses, several insights on PV design are drawn at both the module and system level, and recommendations for future PV installations are provided.

关键词： Photovoltaic systems Visualization Renewable energy sources Energy Electricity Urban areas Inspection Distributed power generation Internet Reliability

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Optimization of Helicopters Aircraft Engine Working Process Using Neural Networks Technologies 6

Optimization of Helicopters Aircraft Engine Working Process ...

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6th international conference on Computational Linguistics and Intelligent systems, COLINS 2022 - Volume I: Main

作者： Vladov, Serhii Shmelov, Yurii Yakovliev, Ruslan Kremenchuk Flight College of Kharkiv National University of Internal Affairs vul. Peremohy 17/6 Kremenchuk Poltavska Oblast 39605 Ukraine

In this work, the multicriteria optimization method according to the NSGA-II algorithm was further developed on the basis of approximate models of the object under study – helicopters turboshaft engine, which made it possible to optimize the parameters of its working process in the helicopter flight mode. An approximate model of the helicopter turboshaft engine is developed on the basis of a radial basis neural network (RBF networks), the parameters of which are determined using an evolutionary algorithm. the practical significance of the obtained results of the work lies in the use of a neural network unit for optimizing the parameters of the working process of helicopter turboshaft engine as part of the on-board system for monitoring its operational status. © 2022 Copyright for this paper by its authors.

关键词： Multiobjective optimization

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Differentiated QoS DDPG-based Slicing and Drone Positioning for Next Generation Networks

Differentiated QoS DDPG-based Slicing and Drone Positioning ...

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international conference on Distributed computing in Sensor systems (DCOSS)

作者： Ghoshana Bista Abbas Bradai Emmanuel Moulay XLIM UMR CNRS 7252 Université de Poitiers Poitiers France LEAT UMR CNRS 7248 Université Côte d’Azur Nice France

ISBN: (数字)9798350369441

ISBN: (纸本)9798350369458

In the imminent era of 6G, Unmanned Aerial Vehicles (UAVs) emerge as indispensable connectors, seamlessly integrating ground and space networks with unparalleled flexibility and dynamic mobility. this article focuses on enhancing Quality of Service (QoS) by categorizing users into Premium, Silver, and Bronze tiers, akin to 5G slicing. Leveraging Deep Deterministic Policy Gradient (DDPG), the study unfolds in two phases. In the first phase, UAVs are strategically deployed using DDPG to optimize network coverage in areas of higher user density. this intelligent deployment adapts to user distribution patterns. In the second phase, dynamic repositioning using DDPG meets QoS requirements by prioritizing users based on categories. this two-phase approach showcases UAV adaptability in optimizing wireless communication systems in the evolving landscape of 6G networks. the proposed solution, driven by DDPG, ensures optimal coverage and responsiveness to diverse user needs.

关键词： 6G mobile communication Wireless communication Adaptation models Heuristic algorithms Quality of service Autonomous aerial vehicles throughput

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2019 6th international conference on Internet of things: systems, Management and Security, IOTSMS 2019

2019 6th International Conference on Internet of Things: Sys...

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6th international conference on Internet of things: systems, Management and Security, IOTSMS 2019

ISBN: (纸本)9781728129495

the proceedings contain 91 papers. the topics discussed include: kata containers: an emerging architecture for enabling MEC services in fast and secure way;a novel mobile node's identi?er for beyond 5G SDN-based networks;improving link quality estimation accuracy in 6TiSCH networks;cybersecurity and driverless cars: in search for a normative way of safety;knowledge graph-enhanced blockchains by integrating a graph-data service-layer;prototyping approach of networking road users for cooperative collision avoidance using smartphones;and retrofitting security and privacy measures to smart home devices.

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Parallel Non-Conforming Finite Element Technique for Mathematical Simulation of Fluid Flow in Multiscale Porous Media 12th

Parallel Non-Conforming Finite Element Technique for Mathema...

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12th international conference on High-Performance computing systems and Technologies in Scientific Research, Automation of Control and Production, HPCST 2022

作者： Markov, Sergey I. Kutishcheva, Anastasia Yu. Itkina, Natalya B. Trofimuk Institute of Petroleum Geology and Geophysics SB RAS 3 Koptug Ave. Novosibirsk630090 Russia Novosibirsk State Technical University 20 Karl Marx Ave. Novosibirsk630073 Russia Institute of Computational Technologies SB RAS 6 Academician M.A. Lavrentiev Ave. Novosibirsk630090 Russia

ISBN: (纸本)9783031237430

We consider the three-dimensional steady-state incompressible fluid flow problem in a heterogeneous porous medium using the framework of the Newtonian rheology. the Stokes-Darcy equations are applied as a mathematical model of the mentioned physical process with the Biver-Joseph-Suffman interface conjugation conditions. For spatial approximation of the mathematical model, computational schemes of non-conforming finite element methods based on the discontinuous Galerkin technique are chosen. this approach allows one to use inconsistent macroscale mesh partitions and to satisfy the "inf-sup"-conditions when the Stokes-Darcy problem is solved. We proposed to apply the domain decomposition method based on the modified Schwartz procedure, which allows realizing a parallel computational algorithm. the effectiveness of the developed algorithms is shown by solving the fluid flow problem in the channels and pores of a geological rock. A three-dimensional geometric model of the geological rock is built using the results of computer tomography of cores. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Porous materials

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Real-Time Reinforcement Learning for Vision-Based Robotics Utilizing Local and Remote Computers

Real-Time Reinforcement Learning for Vision-Based Robotics U...

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2023 IEEE international conference on Robotics and Automation, ICRA 2023

作者： Wang, Yan Vasan, Gautham Mahmood, A. Rupam University of Alberta Department of Computing Science EdmontonABT6G 2E8 Canada Cifar Ai Chair Canada

ISBN: (纸本)9798350323658

Real-time learning is crucial for robotic agents adapting to ever-changing, non-stationary environments. A common setup for a robotic agent is to have two different computers simultaneously: a resource-limited local computer tethered to the robot and a powerful remote computer connected wirelessly. Given such a setup, it is unclear to what extent the performance of a learning system can be affected by resource limitations and how to efficiently use the wirelessly connected powerful computer to compensate for any performance loss. In this paper, we implement a real-time learning system called the Remote-Local Distributed (ReLoD) system to distribute computations of two deep reinforcement learning (RL) algorithms, Soft Actor-Critic (SAC) and Proximal Policy Optimization (PPO), between a local and a remote computer. the performance of the system is evaluated on two vision-based control tasks developed using a robotic arm and a mobile robot. Our results show that SAC's performance degrades heavily on a resource-limited local computer. Strikingly, when all computations of the learning system are deployed on a remote workstation, SAC fails to compensate for the performance loss, indicating that, without careful consideration, using a powerful remote computer may not result in performance improvement. However, a carefully chosen distribution of computations of SAC consistently and substantially improves its performance on both tasks. On the other hand, the performance of PPO remains largely unaffected by the distribution of computations. In addition, when all computations happen solely on a powerful tethered computer, the performance of our system remains on par with an existing system that is well-tuned for using a single machine. ReLoD is the only publicly available system for real-time RL that applies to multiple robots for vision-based tasks. the source code can be found at https://***/rlai-lab/relod © 2023 IEEE.

关键词： Learning systems

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A distributed convergecast algorithm for dynamic mobile networks

A distributed convergecast algorithm for dynamic mobile netw...

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international conference on Parallel and Distributed systems (ICPADS)

作者： Aymeric Agon-Rambosson Jonathan Lejeune Julien Sopena Pierre Sens CNRS LIP6 DELYS Sorbonne Université Paris France

ISBN: (数字)9798331515966

ISBN: (纸本)9798331515973

Some applications, like round-based consensus algorithms, require all the nodes from a system to send a message to the same node (the leader) at the same time. In a Mobile Ad-Hoc Network (MANET), this situation is likely to cause collisions and the loss of the messages converging to the leader. the loss of messages is critical in such a situation, since the leader needs to receive a quorum of messages to make a decision. this pattern of communications, called convergecast, can be trivially implemented with a unicast primitive. However, we show that a popular MANET unicast algorithm like Optimized Link State Routing (OLSR) loses a lot of messages, even in the presence of MAC-level collision avoidance mechanisms like CSMA/CA. We propose a new convergecast algorithm that locally schedules answers to a query in a fully distributed manner, in order to avoid their colliding with each other, and that aggregates these answers in order to further decrease the probability of collisions. We show that our algorithm creates far fewer collisions and retries than OLSR, allowing applications like consensus algorithms to reach their quorum sooner.

关键词： Schedules Unicast Heuristic algorithms Aggregates Consensus algorithm Routing Collision avoidance Mobile computing Mobile ad hoc networks

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