We consider a class of multi-agent optimal coverage problems in which the goal is to determine the optimal placement of a group of agents in a given mission space so that they maximize a coverage objective that repres...
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作者：
Nedaei, AmirEskandari, ArefPourshahbaz, NimaSalehpour, SherkoParvin, ParvizLivera, AndreasMakrides, GeorgeAghaei, Mohammadreza
Department of Electrical Engineering Tehran Iran
Department of Electrical Engineering Tehran Iran
Department of Physics and Energy Engineering Tehran Iran
PHAENTON Centre of Excellence for Intelligent Efficient and Sustainable Energy Solutions PV Technology Laboratory Department of Electrical and Computer Engineering Nicosia Cyprus
PHAETHON Centre of Excellence for Intelligent Efficient and Sustainable Energy Solutions PV Technology Laboratory Department of Electrical and Computer Engineering Nicosia Cyprus
Department of Ocean Operations and Civil Engineering Ålesund Norway
Freiburg Germany
Environmental and other stresses are constantly affecting photovoltaic (PV) components which can end in various faults. The anomalous condition can reduce the PV output power or even result in a calamitous fire hazard...
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This research-to-practice paper presents a novel pedagogical tool for hardware cybersecurity education and workforce development. The growing importance of hardware security has made it essential for individuals and o...
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This paper proposes a new cost-efficient,adaptive,and self-healing algorithm in real time that detects faults in a short period with high accuracy,even in the situations when it is difficult to *** than using traditio...
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This paper proposes a new cost-efficient,adaptive,and self-healing algorithm in real time that detects faults in a short period with high accuracy,even in the situations when it is difficult to *** than using traditional machine learning(ML)algorithms or hybrid signal processing techniques,a new framework based on an optimization enabled weighted ensemble method is developed that combines essential ML *** the proposed method,the system will select and compound appropriate ML algorithms based on Particle Swarm Optimization(PSO)*** this purpose,power system failures are simulated by using the PSCA D-Python *** of the salient features of this study is that the proposed solution works on real-time raw data without using any pre-computational techniques or pre-stored ***,the proposed technique will be able to work on different systems,topologies,or data *** proposed fault detection technique is validated by using PSCAD-Python co-simulation on a modified and standard IEEE-14 and standard IEEE-39 bus considering network faults which are difficult to detect.
We experimentally demonstrated supervised and unsupervised online learning for the "NCSUTD" letter recognition task in a deep photonic neural network using fiber optics and proposed a chip-scale crossbar mul...
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The IoT based Smart farmland using deep learning is a system for tracking animals on agricultural land combines surveillance cameras, drones, an Arduino controller, IR sensors, and an LCD display to detect and tally t...
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We explore the near-field coupling of surface plasmons in a pair of shifted-core coaxial cavities. By shifting the cores, the electromagnetic field becomes localized in nanoscale regions, leading to significant nanofo...
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Recently, there have been some attempts of Transformer in 3D point cloud classification. In order to reduce computations, most existing methods focus on local spatial attention,but ignore their content and fail to est...
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Recently, there have been some attempts of Transformer in 3D point cloud classification. In order to reduce computations, most existing methods focus on local spatial attention,but ignore their content and fail to establish relationships between distant but relevant points. To overcome the limitation of local spatial attention, we propose a point content-based Transformer architecture, called PointConT for short. It exploits the locality of points in the feature space(content-based), which clusters the sampled points with similar features into the same class and computes the self-attention within each class, thus enabling an effective trade-off between capturing long-range dependencies and computational complexity. We further introduce an inception feature aggregator for point cloud classification, which uses parallel structures to aggregate high-frequency and low-frequency information in each branch separately. Extensive experiments show that our PointConT model achieves a remarkable performance on point cloud shape classification. Especially, our method exhibits 90.3% Top-1 accuracy on the hardest setting of ScanObjectN N. Source code of this paper is available at https://***/yahuiliu99/PointC onT.
Software is a crucial component in the communication systems,and its security is of paramount ***,it is susceptible to different types of attacks due to potential ***,significant time and effort is required to fix suc...
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Software is a crucial component in the communication systems,and its security is of paramount ***,it is susceptible to different types of attacks due to potential ***,significant time and effort is required to fix such *** propose an automated program repair method based on controlled text generation ***,we utilize a fine-tuned language model for patch generation and introduce a discriminator to evaluate the generation process,selecting results that contribute most to vulnerability ***,we perform static syntax analysis to expedite the patch verification *** effectiveness of the proposed approach is validated using QuixBugs and Defects4J datasets,demonstrating significant improvements in generating correct patches compared to other existing methods.
We explore the near-field coupling of surface plasmons in a pair of shifted-core coaxial cavities. By shifting the cores, the electromagnetic field becomes localized in nanoscale regions, leading to significant nanofo...
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