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The propagation of Quasi-static region during granular impact

Particuology 2023年第12期83卷 1-7页

作者： Moyu Yang Ran Li Yingnan Xiu Qiang Zeng Xiaoyan Ye Hui Yang School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghai200093China Center for Particle-Laden Turbulence Key Laboratory of Mechanics on Disaster and Environment in Western China attached to the Ministry of Education of ChinaDepartment of Mechanics and Engineering ScienceSchool of Civil Engineering and MechanicsLanzhou UniversityLanzhou730000China

In this paper,through experiments and DEM simulations,it is found that there is a ring-shaped region named Quasi-static Region between the particles expanding outward and the particles collapsing inward during the impact ***-static Region is always generated from the impact point at the same time,and then spreads out at a uniform *** the propagation of Quasi-static Region,the velocity of the particles in the particle extend region varies linearly in space and *** the change rate is only related to the properties of the particle *** simulation results show that the particle flow in Quasi-static Region is elastic-inertial flow,while the particle flow expanding outward and collapsing inward is inertial flow.

关键词： Impact Quasi-staticregion Propagation Shearflow

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Photovoltaic Characterization based on Light Intensity Modulation Impedance Spectroscopy

Photovoltaic Characterization based on Light Intensity Modul...

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2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Simatupang, Desmon Biswan, Kallol Sifat, Iram Agrios, Alexander Ayers, John Park, Sung-Yeul University of Connecticut Electrical and Computer Engineering Storrs United States University of Connecticut Civil and Environmental Engineering Storrs United States

ISBN: (纸本)9798350316445

This paper presents the impedance characteristic of photovoltaic (PV) panels. The PV (Acopower HY010-12M 10 Watt) impedance is evaluated by a light intensity modulation method and a frequency response analyzer (FRA). The light intensity measurement uses cool white LEDs to deliver power to the PV. The light intensity is controlled by the synchronous buck converter to control the sinusoidal current and perturb light intensity. The voltage and current responses of PV were measured, and the impedance was calculated. The equivalent circuit parameters of the photovoltaic panel were compared to the FRA. The full wide-range frequency was tested to show the characteristic of photovoltaics. © 2023 IEEE.

关键词： impedance measurement light intensity modulation photovoltaic

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Optimizing NOMA Transmissions to Advance Federated Learning in Vehicular Networks

Optimizing NOMA Transmissions to Advance Federated Learning ...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Chen, Ziru Ni, Zhou Guan, Peiyuan Wang, Lu Cai, Lin X. Hashemi, Morteza Li, Zongzhi Illinois Institute of Technology Department of Electrical and Computer Engineering Chicago United States University of Kansas Department of Electrical Engineering and Computer Science Lawrence United States University of Oslo Department of Informatics Oslo Norway Illinois Institute of Technology Department of Civil Engineering Chicago United States

ISBN: (纸本)9798350351255

Diverse critical data, such as location information and driving patterns, can be collected by IoT devices in vehicular networks to improve driving experiences and road safety. However, drivers are often reluctant to share their data due to privacy concerns. The Federated Vehicular Network (FVN) is a promising technology that tackles these concerns by transmitting model parameters instead of raw data, thereby protecting the privacy of drivers. Nevertheless, the performance of Federated Learning (FL) in a vehicular network depends on the joining ratio, which is restricted by the limited available wireless resources. To address these challenges, this paper proposes to apply Non-Orthogonal Multiple Access (NOMA) to improve the joining ratio in a FVN. Specifically, a vehicle selection and transmission power control algorithm is developed to exploit the power domain differences in the received signal to ensure the maximum number of vehicles capable of joining the FVN. Our simulation results demonstrate that the proposed NOMA-based strategy increases the joining ratio and significantly enhances the performance of the FVN. Index Terms - Federated Vehicular Network, NOMA © 2024 IEEE.

关键词： Data privacy

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Optimizing Underwater IoT Routing with Multi-Criteria Decision Making and Uncertainty Weights 2

Optimizing Underwater IoT Routing with Multi-Criteria Decisi...

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2nd IEEE International Conference on Contemporary Computing and Communications, InC4 2024

作者： Karkehabadi, Ali Bakhshi, Mitra Razavian, Seyed Behnam University of California Davis Electrical and Computer Engineering Davis United States Sapienza University of Rome Department of Civil Engineering Rome Italy Arya Institute Istanbul Turkey

ISBN: (纸本)9798350383652

Effective data routing is vital in the Internet of Things (IoT) paradigm, especially in underwater mobile sensor networks where inefficiency can lead to significant resource consumption. This article presents an innovative method designed to enhance network performance and reduce resource usage, while also accurately determining component weights in these networks, ensuring quality service. Building upon previous re-search on multi-criteria decision-making systems in coastal RPL networks, our method involves key adaptations for underwater environments. It integrates comprehensive network features to identify the optimal parent node for each sensor, employing the fuzzy SWARA decision-making approach under uncertain conditions. This method takes into account various factors including hops, energy, ARSSI rate, delay, ETX, link delivery rate, and depth to determine the most effective parent node assignment. Through simulation, our approach demonstrates marked improvements in network performance compared to existing solutions. These advancements are significant, offering a new direction in enhancing underwater IoT communications and suggesting wider applications for IoT systems facing similar challenges. © 2024 IEEE.

关键词： Quality of service

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A hybrid attention deep learning network for refined segmentation of cracks from shield tunnel lining images

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Journal of Rock Mechanics and Geotechnical engineering 2023年第12期15卷 3105-3117页

作者： Shuai Zhao Guokai Zhang Dongming Zhang Daoyuan Tan Hongwei Huang Department of Civil and Environmental Engineering The Hong Kong Polytechnic University999077Hong KongChina School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghai200093China Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education Tongji UniversityShanghai200092China

This research developed a hybrid position-channel network (named PCNet) through incorporating newly designed channel and position attention modules into U-Net to alleviate the crack discontinuity problem in channel and spatial dimensions. In PCNet, the U-Net is used as a baseline to extract informative spatial and channel-wise features from shield tunnel lining crack images. A channel and a position attention module are designed and embedded after each convolution layer of U-Net to model the feature interdependencies in channel and spatial dimensions. These attention modules can make the U-Net adaptively integrate local crack features with their global dependencies. Experiments were conducted utilizing the dataset based on the images from Shanghai metro shield tunnels. The results validate the effectiveness of the designed channel and position attention modules, since they can individually increase balanced accuracy (BA) by 11.25% and 12.95%, intersection over union (IoU) by 10.79% and 11.83%, and F1 score by 9.96% and 10.63%, respectively. In comparison with the state-of-the-art models (i.e. LinkNet, PSPNet, U-Net, PANet, and Mask R–CNN) on the testing dataset, the proposed PCNet outperforms others with an improvement of BA, IoU, and F1 score owing to the implementation of the channel and position attention modules. These evaluation metrics indicate that the proposed PCNet presents refined crack segmentation with improved performance and is a practicable approach to segment shield tunnel lining cracks in field practice.

关键词： Crack segmentation Crack disjoint problem U-net Channel attention Position attention

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Revolutionizing Medical Diagnosis with Novel Teaching-Learning-Based Optimization 6

Revolutionizing Medical Diagnosis with Novel Teaching-Learni...

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6th IEEE International Conference on Emerging Smart Computing and Informatics, ESCI 2024

作者： Bakhshi, Mitra Karkehabadi, Ali Razavian, Seyed Behnam Sapienza University of Rome Department of Civil Engineering Rome Italy University of California Davis Electrical and Computer Engineering Davis United States Arya Institute Istanbul Turkey

ISBN: (纸本)9798350306613

In medical diagnosis, the precise and prompt identification of diseases is crucial for effective treatment and optimal patient care. As medical data grows increasingly complex, there's an urgent need for efficient diagnostic tools. Researchers are turning to innovative optimization techniques to enhance the accuracy and speed of these diagnoses. This paper applied a novel Teaching-Learning-Based Optimization (TLBO) technique and its potential implications in medical diagnosis. Diagnoses require the interpretation of each data point and its categorization to a specific pathology. Tools such as computer-aided diagnostics and artificial neural networks exemplify the AI technologies that aim to refine diagnostic processes and minimize human error. These algorithms have the versatility to process a broad spectrum of medical data. Our investigation delves into the theory and potential of using artificial neural networks in medical diagnosis. Results indicate that while various methods are effective in predicting medical diagnostics, the TLBOMLP and ER-WCAMLP methods outperform with accuracy rates of AUC=0.971, compared to CART-MLP's AUC=0.961 and 0.962. © 2024 IEEE.

关键词： artificial intelligence artificial neural networks cancer ER-WCA medical diagnosis TLBO

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An Intelligent Condition Monitoring Scheme For Photovoltaic Systems using Programmable Logic Controller 3

An Intelligent Condition Monitoring Scheme For Photovoltaic ...

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3rd International Conference on Energy Transition in the Mediterranean Area, SyNERGY MED 2024

作者： Nedaei, Amir Eskandari, Aref Pourshahbaz, Nima Salehpour, Sherko Parvin, Parviz Livera, Andreas Makrides, George Aghaei, 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

ISBN: (纸本)9798350375923

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. Hence, PV systems must be monitored constantly in order to ensure their proper performance. This paper proposes an intelligent PV condition monitoring scheme based on Programmable Logic Controller (PLC). This scheme monitors the PV performance and detects different faults and failures on the DC-side of the array. It also takes advantage of Human-Machine Interface (HMI) which provides the operators with useful real-time data from the array. © 2024 IEEE.

关键词： Condition monitoring Fault detection Human-machine interface (HMI) Photovoltaic (PV) systems Programmable logic controller (PLC)

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Computationally efficient reductions between some statistical models

arXiv

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arXiv 2024年

作者： Lou, Mengqi Bresler, Guy Pananjady, Ashwin Schools of Industrial and Systems Engineering Georgia Tech United States Schools of Electrical and Computer Engineering Georgia Tech United States Department of Electrical Engineering and Computer Science MIT United States

We study the problem of approximately transforming a sample from a source statistical model to a sample from a target statistical model without knowing the parameters of the source model, and construct several computationally efficient such reductions between canonical statistical experiments. In particular, we provide computationally efficient procedures that approximately reduce uniform, Erlang, and Laplace location models to general target families. We illustrate our methodology by establishing nonasymptotic reductions between some canonical high-dimensional problems, spanning mixtures of experts, phase retrieval, and signal denoising. Notably, the reductions are structure-preserving and can accommodate missing data. We also point to a possible application in transforming one differentially private mechanism to another. Copyright © 2024, The Authors. All rights reserved.

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Lighting characterization of an Italian beginning twentieth-century school building

Renewable Energy and Power Quality Journal

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Renewable Energy and Power Quality Journal 2023年 21卷 381-387页

作者： Moschella, A. Amato, D. Gagliano, A. Department of Civil Engineering and Architecture University of Catania viale Andrea Doria 6 Catania95125 Italy Department of Electrical Electronic and Computer Engineering University of Catania viale Andrea Doria 6 Catania95125 Italy

Nowadays, visual comfort in classrooms is considered crucial for the quality of students' learning processes. In Italy (1888 and 1901), many educational buildings, which constitute a cluster of historic school buildings, were built following specific national regulations. These buildings are characterized by the careful design of the classrooms both in relation to the orientation and their size. Among the design criteria, educational buildings structures had taken into account the orientation of the facades, as well as the arrangement and size of windows and other light inputs The study presented in this paper is aimed at evaluating if these educational buildings, designed according to ancient rules, are able to meet today's standards of visual comfort. With this purpose, the assessment of lighting levels, luminance distribution, average daylight factor, and daylight autonomy (DA) was carried out for all classrooms for a case study, typologically representative of this school buildings' cluster. The daylight analysis showed that most classrooms were subject to glare and lack of uniformity of illumination, while in other environments low values of illuminance levels were found. However, it is believed that a lighting refurbishment, respectful of the cultural value of these historic school buildings, can be considered. © 2023, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.

关键词： School buildings

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PLC and Human Machine Interface based PV Condition Monitoring Structure Comprising an Innovative Fault Detection Scheme 3

PLC and Human Machine Interface based PV Condition Monitorin...

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3rd International Conference on Energy Transition in the Mediterranean Area, SyNERGY MED 2024

ISBN: (纸本)9798350375923

Photovoltaic (PV) systems operate outdoors and are inevitably exposed to various environmental stresses. These stresses may result in several faults and failures which can affect the PV proper performance in terms of reducing the output power and even in some catastrophic cases may end in fire hazards. Therefore, PV systems need to be constantly and carefully monitored to maintain their appropriate performance. In this paper, a condition monitoring (CM) scheme is proposed based on the Programmable Logic Controller (PLC). The scheme is capable to detect line-to-line (LL) and line-to-ground (LG) faults on the DC-side of the PV array and also enables the system to track the maximum power point (MPP) and provides the operator with the real-time PV information via Human-Machine Interface (HMI). © 2024 IEEE.

关键词： Fire hazards

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