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2021 American Control Conference, ACC 2021

作者： Jain, R. Praveen De Sousa, Joao Borges Aguiar, A. Pedro Norwegian University of Science and Technology Department of Engineering Cybernetics Trondheim7491 Norway University of Porto Faculty of Engineering Department of Electrical and Computer Engineering Porto4200-465 Portugal

ISBN: (纸本)9781665441971

This paper addresses the problem of steering a robotic vehicle along a geometric path specified with respect to a reference frame moving in three dimensions, termed the Moving Path Following (MPF) motion control problem. The MPF problem is solved for a large class of robotic vehicles that require a minimum positive forward speed to operate. This restriction poses additional challenges with respect to the control design, and is developed using geometric concepts, wherein the attitude control problem is formulated on the Special Orthogonal group SO(3). To this end, a MPF error model formulation is first derived that allows to exclude the conservative constraints on the initial position of the vehicle with respect to the reference path by enabling the explicit control of the progression of a virtual point moving along the reference path. The task of the MPF control law is then to steer the vehicle towards the moving path and to converge to the virtual point. Stability and convergence guarantees of the resulting closed-loop system are provided using the Input-to-State Stability concept. In particular, we show that the proposed controller is robust to imperfect tracking errors by the autopilot and wind gusts. Simulation results are presented to illustrate the efficacy of the proposed MPF control law. © 2021 American Automatic Control Council.

关键词： Attitude control

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Coddora: CO2-Based Occupancy Detection Model Trained via Domain Randomization

Coddora: CO2-Based Occupancy Detection Model Trained via Dom...

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International Joint Conference on Neural Networks (IJCNN)

作者： Manuel Weber Farzan Banihashemi Davor Stjelja Peter Mandl Ruben Mayer Hans-Arno Jacobsen Department of Computer Science and Mathematics Munich University of Applied Sciences (HM) Munich Germany Chair of Energy Efficient and Sustainable Design and Building Technical University of Munich Germany Department of Mechanical Engineering Aalto University Espoo Finland Faculty of Mathematics Physics and Computer Science University of Bayreuth Germany Department of Electrical and Computer Engineering University of Toronto Canada

ISBN: (数字)9798350359312

ISBN: (纸本)9798350359329

Information about human presence in indoor spaces is crucial for building energy optimization. While there has been a considerable amount of research on using neural networks to automatically detect occupancy from CO2 sensors, their application in practice is limited due to the scarcity of labeled training data. In this paper, we propose Coddora, an off-the-shelf deep learning model pretrained on data from randomized room simulations. Coddora enables quick adaptation to real-world rooms, requiring only minimal data collection. Our contribution includes two model variants for application via fine-tuning or zero-shot classifying, as well as the synthetic dataset providing data from simulations with 100,000 room models.

关键词： Training Adaptation models Accuracy Buildings Neural networks Transfer learning Training data

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Heterogeneity induced localization of traffic congestion on networks

arXiv

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arXiv 2023年

作者： He, Zhidong Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Netherlands DS Information Technology Co. Ltd. Shanghai China

The emergence of congestion is a critical phenomenon in transport systems. Transport is organized along pathways abstracted by links, which connect different nodes as regions to form the network. The modeling of traffic has so far mainly been based on one-dimensional lattices or networked queuing systems, which restricts mechanistic insights and analytical tractability for traffic dynamics on general networks. An interpretable kinetics model is necessary for understanding the impact of the network structure on traffic congestion in large-scale networks. Considering a generalized flow-density relation within each node, we propose and investigate a general traffic model on networks with external injections and exits. We observe various phases in terms of node density that exhibit distinct behaviors under different injection rates. The onset of congestion along with the coexistence of free nodes and congested nodes, manifested by the spatial localization of traffic congestion, is induced by the asymmetry of the flow transitions between neighbors in the network. The proposed congestion centrality allows us to determine the congestion threshold, identify congested nodes and predict congestion propagation. Our model and results are shown to cover a broad spectrum of implications for transport dynamics on networks as well as offer a practical prospect for traffic optimizations such as congestion alleviation and targeted diffusion. Copyright © 2023, The Authors. All rights reserved.

关键词： Traffic congestion

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A highly integrated flexible array non-contact ECG sensing electrode based on FPC

A highly integrated flexible array non-contact ECG sensing e...

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6th International Conference on Intelligent Computing and Signal Processing (ICSP)

作者： Gang Wu Kaikai Wang Baoliang Feng Binjun Shi Zhen Liu Guokun Zuo Changcheng Shi Faculty of Electrical Engineering & Computer Science Ningbo University Ningbo China Ningbo Institute of Materials Technology & Engineering CAS Ningbo China Ningbo Cixi Institute of Biomedical Engineering Ningbo China

The existing array non-contact ECG sensing technology mostly uses rigid electrode or conductive fabric electrode, in which the rigid electrode is too hard to make the electrode difficult to close to the human body well, and the conductive fabric electrode is too soft to cause the electrodes to be wrinkled, both of which will lead to poor ECG signal quality. In order to overcome the problem that it is difficult to obtain high-quality ECG signals due to electrode materials, this study combined the manufacturing process of Flexible Printed Circuit (FPC) with the surface treatment process of Electroless Nickel/Immersion (ENIG) and adopted polyimide (PI) and rolled copper as electrode materials, which makes the array electrode electrodes extremely flexible, tough, and flat. At the same time, in terms of electrode design, the test and verification of the electrode unit also ensured the rationality of the array electrode. Subsequently, the electrode was verified by electrode test and human experiment, and the results showed that the electrode could receive ECG signals well, and compared with the ECG signals obtained by the traditional Ag/AgCl electrodes, the signal-to-noise ratio (SNR) of the signals obtained by the two types of electrodes reached above 38 dB and the waveform characteristics were highly consistent.

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2D Ge₂Se₂P₄ Monolayer: A Versatile Photocatalyst for Sustainable Water Splitting

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Journal of Physical Chemistry C 2024年第10期128卷 4245-4257页

作者： Vu, Tuan V. Hieu, Nguyen N. Vo, Dat D. Kartamyshev, A.I. Tong, Hien D. Trinh, Thuat T. Khuong Dien, Vo Haman, Zakaryae Dey, Poulumi Khossossi, Nabil Laboratory for Computational Physics Institute for Computational Science and Artificial Intelligence Van Lang University Ho Chi Minh City 70000 Viet Nam Faculty of Mechanical─Electrical and Computer Engineering School of Technology Van Lang University Ho Chi Minh City 70000 Viet Nam Institute of Research and Development Duy Tan University Da Nang 550000 Viet Nam Faculty of Natural Sciences Duy Tan University Da Nang 550000 Viet Nam Faculty of Engineering Vietnamese-German University Binh Duong 820000 Viet Nam Porelab Department of Chemistry Norwegian University of Science and Technology Høgskoleringen 5 Trondheim 7491 Norway Department of Physics National Cheng Kung University 1 University Road Tainan 70101 Taiwan Laboratoire de Physique des Matèriaux et Modélisations des Systèmes LP2MS Faculty of Sciences Department of Physics Moulay Ismail University Meknes 50050 Morocco Department of Materials Science and Engineering Faculty of Mechanical Engineering Delft University of Technology Mekelweg 2 Delft 2628 CD Netherlands

This study aims to identify photo-/electrocatalysts that can enhance the oxygen evolution reaction (OER), hydrogen evolution reaction (HER), and oxygen reduction reaction (ORR), which are of utmost importance in electro-/photochemical energy systems, such as solar energy, fuel cells, water electrolyzers, or metal-air batteries. Our study focused on investigating the 2D Ge₂Se₂P₄ monolayer and found that it exhibits a bifunctional photocatalyst with a very high solar-to-hydrogen efficiency. The two-dimensional (2D) Ge₂Se₂P₄ monolayer has superior HER activity compared to that of most 2D materials, and it also outperforms the reference catalysts IrO₂(110) and Pt(111) in terms of low overpotential values for ORR and OER mechanisms. Such superior catalytic performance in the 2D Ge₂Se₂P₄ monolayer can be attributed to its electron states, charge transfer process, and suitable band alignments referring to normal hydrogen electrodes. Overall, the study suggests that the Ge₂Se₂P₄ monolayer could be an excellent bifunctional catalyst for advancing photo-/electrochemical energy systems. © 2024 American Chemical Society.

关键词： Energy Evolution reactions Free energy Hydrogen Monolayers

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Exploring Shifted Domain Problem within MNIST Dataset

Exploring Shifted Domain Problem within MNIST Dataset

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computer science, Information Technology and engineering (ICCoSITE), International Conference on

作者： Hidayaturrahman Yaya Heryadi Lukas Wayan Suparta Yulyani Arifin Computer Science Department BINUS Graduate Program – Computer Science Bina Nusatara University Jakarta Indonesia Cognitive Engineering Research Group (CERG) Faculty of Engineering Universitas Katolik Indonesia Atma Jaya Jakarta Indonesia Department of Electrical Engineering Faculty of Industrial Technology Institut Teknologi Nasional Yogyakarta Yogyakarta Indonesia

Domain data can be shifted in any direction so it will be shared in different distributions to its original domain. This could be a problem since the model was trained with different distributions. It is found that adversarial domain adaptation using domain adversarial neural networks (DANN) can help to solve this problem on some scale. DANN can minimize the discrepancy between source and target data so the model can work well in both domains. The experiment is done by utilizing MNIST dataset that shifted into some conditions. In a condition when the shifting of distribution is too far, DANN is struggling to maintain the knowledge extracted from source data which leads to underperformance in the source and target domain. In contrast, when the shifting is closer, DANN can easily fit the model so it can perform well in both domains. It proves DANN is one of the good approaches to performing domain adaptation in small discrepancies.

关键词： computer science Adaptation models Neural networks Feature extraction Data models Data mining Information technology

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Efficiently Reconfiguring a Connected Swarm of Labeled Robots

arXiv

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arXiv 2022年

作者： Fekete, Sándor P. Kramer, Peter Rieck, Christian Scheffer, Christian Schmidt, Arne Department of Computer Science TU Braunschweig Braunschweig Germany Faculty of Electrical Engineering and Computer Science Bochum University of Applied Sciences Bochum Germany

When considering motion planning for a swarm of n labeled robots, we need to rearrange a given start configuration into a desired target configuration via a sequence of parallel, collision-free robot motions. The objective is to reach the new configuration in a minimum amount of time;an important constraint is to keep the swarm connected at all times. Problems of this type have been considered before, with recent notable results achieving constant stretch for not necessarily connected reconfiguration: If mapping the start configuration to the target configuration requires a maximum Manhattan distance of d, the total duration of an overall schedule can be bounded to O(d), which is optimal up to constant factors. However, constant stretch could only be achieved if disconnected reconfiguration is allowed, or for scaled configurations (which arise by increasing all dimensions of a given object by the same multiplicative factor) of unlabeled robots. We resolve these major open problems by (1) establishing a lower bound of Ω(√n) for connected, labeled reconfiguration and, most importantly, by (2) proving that for scaled arrangements, constant stretch for connected reconfiguration can be achieved. In addition, we show that (3) it is NP-complete to decide whether a makespan of 2 can be achieved, while it is possible to check in polynomial time whether a makespan of 1 can be achieved. Copyright © 2022, The Authors. All rights reserved.

关键词： Motion planning

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Automated Invoice Processing System

Automated Invoice Processing System

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IEEE International Conference on Industrial engineering and engineering Management

作者： Lama Alkhaled Ng Yee Fei Department of Computer Science Electrical and Space Engineering Luleå University of Technology Luleå Sweden Faculty of Computing Asia Pacific University Kuala Lumpur Malaysia

Many companies still rely on manual data entry methods for managing their invoices. Some of these companies deal with a high volume of invoices in various formats daily, resulting in time-consuming processes and resource wastage. To address this issue, a proposal is made to implement an efficient automated invoice processing system using deep learning. This system aims to reduce workload and enhance productivity for companies. In addition, a comprehensive review and comparison of existing techniques and similar systems have been conducted to identify the most suitable solution for this scenario. The proposed work utilizes advanced deep learning computer vision techniques, a simple Convolutional Neural Network (CNN) based on RPN, and LeNet-5 is used to detect and classify text objects on invoice documents. This paper utilized scanned invoices to assess the system's performance. A dataset consisting of 1000 scanned English invoices from the Scanned Receipts OCR and Information Extraction (SROIE) dataset. The system will predict and extract specific regions such as invoice number, date, payer information, and total amount from the invoices. However, it has been observed that low-resolution and unclear invoices can negatively impact the accuracy of OCR (Optical Character Recognition) pattern-matching methods. To mitigate this issue, an image pre-processing method has been incorporated, which reduces image noise and corrects page skew to achieve better performance.

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Parameter Fitting-Based Traveling Wave Fault Location Method for Multi-Terminal Dc Grids

SSRN

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SSRN 2024年

作者： Liu, Le Xie, Fan Kang, Xiaoning Hao, Zhiguo Lekić, Aleksandra Popov, Marjan School of Electrical Engineering Xi’an Jiaotong University Xi’an710049 China Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology DelftCD 2628 Netherlands Electric Power Research Institute of China Southern Power Grid Guangzhou510663 China

DC fault location technology is crucial for estimating the fault location and developing multi-terminal direct current (MTDC) systems. This article presents a novel fault location method using the parameter fitting approach. The propagation of traveling waves (TWs) in the decoupled line-mode fault network is first discussed, resulting in analytical expressions for the backward line-mode current TWs containing fault location information. Then, the adaptive multi-step Levenberg-Marquardt (AMLM) algorithm is applied for parameter fitting owing to its fast processing speed and precision. The exact fault location is estimated using the fitted coefficient. Different testing MTDC systems modeled in PSCAD/EMTDC and a real-time digital simulator (RTDS) validate the proposed fault location method. Based on numerous simulation tests, the AMLM-based parameter fitting and the proposed method are accurate, with errors smaller than 0.5%. Compared to the existing methods, the proposed method has desired performance under close-in faults, can withstand 35 dB noise interference, and obviates the need for an extremely high sampling frequency, estimation of tws velocity, and communication devices. © 2024, The Authors. All rights reserved.

关键词： Location

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The Dispersive Art Gallery Problem

arXiv

引用

arXiv 2022年

作者： Rieck, Christian Scheffer, Christian Department of Computer Science TU Braunschweig Braunschweig Germany Faculty of Electrical Engineering and Computer Science Bochum University of Applied Sciences Bochum Germany

We introduce a new variant of the art gallery problem that comes from safety issues. In this variant we are not interested in guard sets of smallest cardinality, but in guard sets with largest possible distances between these guards. To the best of our knowledge, this variant has not been considered before. We call it the Dispersive Art Gallery Problem. In particular, in the dispersive art gallery problem we are given a polygon P and a real number , and want to decide whether P has a guard set such that every pair of guards in this set is at least a distance of apart. In this paper, we study the vertex guard variant of this problem for the class of polyominoes. We consider rectangular visibility and distances as geodesics in the L1-metric. Our results are as follows. We give a (simple) thin polyomino such that every guard set has minimum pairwise distances of at most 3. On the positive side, we describe an algorithm that computes guard sets for simple polyominoes that match this upper bound, i.e., the algorithm constructs worst-case optimal solutions. We also study the computational complexity of computing guard sets that maximize the smallest distance between all pairs of guards within the guard sets. We prove that deciding whether there exists a guard set realizing a minimum pairwise distance for all pairs of guards of at least 5 in a given polyomino is NP-complete. We were also able to find an optimal dynamic programming approach that computes a guard set that maximizes the minimum pairwise distance between guards in tree-shaped polyominoes, i.e., computes optimal solutions. Because the shapes constructed in the NP-hardness reduction are thin as well (but have holes), this result completes the case for thin polyominoes. Copyright © 2022, The Authors. All rights reserved.

关键词： Visibility

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