We discuss the annular electron confinement on the liquid helium surface induced by a submerged tubular electrode. For a shallow liquid layer the resulting potential has a minimum off the symmetry axis of the electrod...
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We discuss the annular electron confinement on the liquid helium surface induced by a submerged tubular electrode. For a shallow liquid layer the resulting potential has a minimum off the symmetry axis of the electrode. The ground-state angular momentum transitions that are driven by the external magnetic field can be resolved when the confinement radii in the first and second Rydberg subbands of the vertical quantization are different, e.g., for submersion depth of the tube comparable to its radius. Then, discontinuities in the main microwave absorption line appear with the period that corresponds to the subsequent magnetic flux quanta passing across the area within the ground-state confinement radius.
Power-quality standards provide limited guidance on frequency quality for short time scales, such as less than one hour. Capturing frequency variations and events requires high time resolutions, e.g., 0.1 seconds or l...
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ISBN:
(数字)9798350390421
ISBN:
(纸本)9798350390438
Power-quality standards provide limited guidance on frequency quality for short time scales, such as less than one hour. Capturing frequency variations and events requires high time resolutions, e.g., 0.1 seconds or less, resulting in significant data storage requirements. However, power-quality monitors typically report averaged values at intervals of 10 minutes, 15 minutes, or one hour, depending on the disturbance type. To address these challenges, we propose calculating statistic indices from high-resolution data within a 15-minute or one-hour window length, thus avoiding storing high-resolution data. We apply the basic statistic indices to frequency data measured in Finland for a single day in June 2023, demonstrating their effectiveness in capturing frequency variations and two significant events during that day.
In a recent work [R. Shojaei et al., Phys. Rev. E 100, 022303 (2019)] the authors calculate numerically the critical temperature Tc of the balanced-imbalanced phase transition in a fully connected graph. According to ...
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In a recent work [R. Shojaei et al., Phys. Rev. E 100, 022303 (2019)] the authors calculate numerically the critical temperature Tc of the balanced-imbalanced phase transition in a fully connected graph. According to their findings, Tc decreases with the number of nodes N. Here we calculate the same critical temperature using the heat-bath algorithm. We show that Tc increases with N as Nγ, with γ close to 0.5 or 1.0. This value depends on the initial fraction of positive bonds.
The MUTLIAGENT PATH FINDING (MAPF) problem consists of identifying the trajectories that a set of agents should follow inside a given network in order to reach their desired destinations as soon as possible, but witho...
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We study a simple deterministic map that leads a fully connected network to the Heider balance. The map is realized by an algorithm that updates all links synchronously in a way depending on the state of the entire ne...
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We study a simple deterministic map that leads a fully connected network to the Heider balance. The map is realized by an algorithm that updates all links synchronously in a way depending on the state of the entire network. We observe that the probability of reaching a balanced state increases with the system size N. Jammed states become less frequent for larger N. The algorithm generates also limit cycles, mostly of length 2, but also of length 3, 4, 6, 12, or 14. We give a simple argument to estimate the mean size of basins of attraction of balanced states, and we discuss the symmetries of the system including the automorphism group as well as gauge invariance of triad configurations. We argue that both symmetries play an essential role in the occurrence of cycles observed in the synchronous dynamics realized by the algorithm.
SummaryIn the paper we discuss the frequency error occurring when synchronizing two semiconductor lasers under the conditions when the optical power of the reference laser is relatively weak (usually below minus thirt...
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ISBN:
(数字)9781665497183
ISBN:
(纸本)9781665497190
SummaryIn the paper we discuss the frequency error occurring when synchronizing two semiconductor lasers under the conditions when the optical power of the reference laser is relatively weak (usually below minus thirty some dBm). This synchronization approach is intended to be used in ultra-accurate long-distance fiber optic time transfer links, which require accurate and stable frequency offset between the lasers used to convey the timing information between the terminals of the transfer system. We identified that the problem is caused by the noise (and resulting insufficient signal to noise ratio) at the input of a high-frequency prescaler forming a part of the signal processing chain. To understand undergoing processes we developed a Simulink/Matlab simulation model, supported by a theoretical approach that can help designing the laser frequency synchronization circuits for the fiber optic time transfer systems.
The paper presents the system based on the layered hierarchical graphs for game plot description implemented in Godot Engine using the JSON format. The aim of the presented research is to create a tool that both suppo...
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This paper explores the applicability of generative AI (genAI), specifically Large Language Models (LLMs), for the automatic generation and configuration of metaheuristic algorithms to address a real-world engineering...
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Over the last decade, convolutional neural networks have been a core element in the recent remarkable advances in machine learning, computer vision, and robotics. Vision transformers have recently demonstrated great s...
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ISBN:
(纸本)9781665476881
Over the last decade, convolutional neural networks have been a core element in the recent remarkable advances in machine learning, computer vision, and robotics. Vision transformers have recently demonstrated great success in various computer vision tasks, motivating a tremendously increased interest in their deployment into many real-world vision applications. However, until now, the number of successful applications of transformers in robotics is somewhat limited. This work presents an approach to visual place recognition using a vision transformer (ViT). ViT trained from scratch, and two pretrained ViTs in base and large versions have been finetuned on a target dataset. The features extracted by transformers have then been used in place recognition using a k-NN. Finally, contrastive learning has been performed to embed the features and improve recognition performance. The algorithm has been evaluated in a dataset for indoor place recognition comprising images with 6-DOF viewpoint variations. Experimental results demonstrate that considerable gain in recognition accuracy can be obtained by finetuned transformers in comparison to results achieved by CNNs.
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