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3rd IEEE International Conference on Electrical Power and Energy systems, ICEPES 2024

作者： Antonius Alijoyo, Franciskus Vidhate, Deepak A. Kaur, Chamandeep Nivedan, V. Rani, V. Kanpur Balakumar, A. School of Business and Information Technology STMIK LIKMI Bandung Indonesia Dr. Vithalrao Vikhe Patil College of Engineering Department of Information Technology Maharashtra Ahmednagar India Jazan University Department of Computer Science Jazan Saudi Arabia Sri Ramakrishna College of Arts & Science Department of Electronics and Communication System Coimbatore India Hindustan Institute of Technology and Science Chennai India K.Ramakrishnan College of Engineering Department of ECE Trichy India

ISBN: (纸本)9798350390728

The incorporation of Internet of Things (IoT) cloud computing solutions with smart grids signifies a significant advancement in energy management. Traditional methods, though beneficial, often lack scalability and real-time capabilities, limiting their effectiveness in managing the complexity of modern energy systems. In this paper, a novel approach cloud-based IoT technologies to address these shortcomings and enhance smart grid functionalities. Existing energy management methods heavily rely on localized monitoring and control systems, constraining scalability and real-time responsiveness. Additionally, these methods struggle to handle the immense data generated by IoT devices dispersed throughout the grid. The proposed approach tackles these challenges by utilizing cloud computing to store, process, and analyze IoT sensor data in real-time. The novelty of this method lies in seamlessly integrating cloud-based platforms with IoT devices across the smart grid. Through utilising cloud resources, the limitations of traditional approaches are overcome, enabling scalable, real-time oversight and management of grid assets. The methodology involves deploying IoT sensors across the grid to compile information about energy usage, generation, and distribution, which is then transmitted to cloud servers for analysis and decision-making. Through simulations and real-world experiments, the effectiveness of this approach in optimizing grid performance, improving reliability, and facilitating demand-response programs is demonstrated. The results exhibit significant enhancements in grid efficiency and resilience, showcasing the potential of cloud-based IoT solutions to transform energy management in smart grids. Overall, this proposed method presents a promising pathway towards establishing more efficient, sustainable, and resilient energy infrastructure for the future. © 2024 IEEE.

关键词： Cloud platforms

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Fade-in Reverberation in Multi-room Environments Using the Common-Slope Model 5

Fade-in Reverberation in Multi-room Environments Using the C...

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5th AES International Conference on Audio for Virtual and Augmented Reality, AVAR 2024

作者： Lee, Kyung Yun Meyer-Kahlen, Nils Götz, Georg Peter Svensson, U. Schlecht, Sebastian J. Välimäki, Vesa Acoustics Lab Dpt. of Information and Communications Engineering Aalto University Finland Dpt. of Electronic Systems Norwegian University of Science and Technology Norway Germany

In multi-room environments, modelling the sound propagation is complex due to the coupling of rooms and diverse source-receiver positions. A common scenario is when the source and the receiver are in different rooms without a clear line of sight. For such source-receiver configurations, an initial increase in energy is observed, referred to as the "fade-in" of reverberation. Based on recent work of representing inhomogeneous and anisotropic reverberation with common decay times, this work proposes an extended parametric model that enables the modelling of the fade-in phenomenon. The method performs fitting on the envelopes, instead of energy decay functions, and allows negative amplitudes of decaying exponentials. We evaluate the method on simulated and measured multi-room environments, where we show that the proposed approach can now model the fade-ins that were unrealisable with the previous method. © 2024 Audio engineering Society. All rights reserved.

关键词： Reverberation

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Resource Allocation for IRS-Assisted Symbiotic Vehicular RSMA and Backscatter Communication 15

Resource Allocation for IRS-Assisted Symbiotic Vehicular RSM...

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15th International Conference on information and Communication technology Convergence, ICTC 2024

作者： Ofori-Amanfo, Kofi A. Asiedu, Derek K. P. Saoudi, Samir Yun, Ji-Hoon Seoul National University of Science and Technology Department of Electrical and Information Engineering Seoul01811 Korea Republic of IMT-Atlantique Lab-STICC Brest29238 France

ISBN: (纸本)9798350364637

We develop a symbiotic operation framework of primary downlink vehicular communication using rate-splitting multiple access (RSMA) and secondary backscatter communication of an intelligent reflecting surface (IRS). The framework employs alternating optimization for resource allocation, considering channel estimation errors caused by vehicular mobility. © 2024 IEEE.

关键词： Backscattering

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Fabry-Perot Cavity Assembled on Terfenol-D Slab for High-Resolution Magnetic Field Measurement

Fabry-Perot Cavity Assembled on Terfenol-D Slab for High-Res...

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CLEO: science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Yao, Yucheng Zhao, Zhiyong Han, Jun-Bo Liu, Jing Chen, Shuyan Liu, Zhuyixiao Tang, Ming National Engineering Laboratory for Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China Wuhan National High Magnetic Field Center Department of Physics Huazhong University of Science and Technology Wuhan430074 China

By utilizing a microwave photonics-interrogated Fabry-Perot interferometer fabricated on a Terfenol-D slab, an ultra-high resolution magnetic field sensor is achieved with a maximum sensitivity of 4.6 MHz/mT, and a re... 详细信息

关键词： Fabry-Perot interferometers

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Mode-division Multiplexing Signals through Both Wired and Wireless Optical Channels

Mode-division Multiplexing Signals through Both Wired and Wi...

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2024 Photonics and Electromagnetics Research Symposium, PIERS 2024

作者： Zong, Shiyu Wen, Feng Zhao, Tianfeng Qiu, Kun University of Electronic Science and Technology of China Key Lab of Optical Fiber Sensing and Communications Ministry of Education School of Information and Communication Engineering Chengdu611731 China

ISBN: (纸本)9798350375909

Radio-over-fiber (RoF) technology allows RF signals to be transmitted through optical fiber, greatly improving the anti-interference and long-distance transmission capabilities of RF signals. The combination of mode-division multiplexing (MDM) and analog radio over fiber (A-RoF) technologies could provide the higher capacity for the forward transmission in the scenarios of 6G and beyond, as well as the physical layer for the massive multi-input multi-output (M-MIMO), beamforming and other technologies. However, the crosstalk nature happened between optical modes also leads to the extra distortion on the RF signals when they are propagating through the MDM channels. In this paper, we propose an optical mode-related single-sideband (M-SSB) modulation scheme, which could reduce the impact of crosstalk between modes and avoiding the problem of periodic power fading in the dispersive fiber channel. Moreover, we also perform the joint compensation of the optical mode-related crosstalk in the few-mode fiber (FMF) channel and the Doppler shift effect in the wireless channel. According to the simulation investigation, the signal-to-noise ratio (SNR) of compensated signals could be up to 26.21dB, confirming the availability of the proposed MDM scheme through both wired and wireless channels. © 2024 IEEE.

关键词： Signal to noise ratio

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Tomographic SAR imaging with large elevation aperture: a P-band small UAV demonstration

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science China(information sciences) 2022年第3期65卷 211-224页

作者： Tao ZENG Minkun LIU Yan WANG Zegang DING Linghao LI Zhen WANG Yangkai WEI Jianping WANG Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing Institute of Technology Chongqing Innovation Center Yangtze Delta Region Academy of Beijing Institute of Technology Faculty of Electrical Engineering Mathematics and Computer Science (EEMCS) Delft University of Technology

Elevation resolution is an important indicator in tomographic SAR imaging as it represents the ability to discriminate closed targets in elevation. In general, the elevation resolution is proportional to the length of the elevation aperture. However, as the elevation aperture increases, the geometric consistency of the image will undesirably deteriorate and hence fails the image coregistration approach required by the traditional super-resolution tomographic imaging. In this paper, a new super-resolution tomographic imaging method is proposed to overcome the inconsistency problem caused by the large elevation aperture. The core strategy is to get rid of two-dimensional image coregistration by applying a three-dimensional(3 D) back projection like imaging manner: the 3 D space is firstly divided into a 3 D imaging grid, each of which is individually imaged via compressive sensing for super-resolution. The effectiveness of the proposed approach is evaluated by both computer simulations and real P-band UAV SAR data.

关键词： UAV SAR tomography large elevation aperture super-resolution P-band

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Semiconductor Optical Amplifier based on Optical Reservoir (SOA-OR) for Mode-division Multiplexing Signal Compensation

Semiconductor Optical Amplifier based on Optical Reservoir (...

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2024 Photonics and Electromagnetics Research Symposium, PIERS 2024

作者： Luo, Huiwen Liu, Xiyong Zhao, Tianfeng Qiu, Kun Wen, Feng University of Electronic Science and Technology of China Key Lab of Optical Fiber Sensing and Communications Ministry of Education School of Information and Communication Engineering Chengdu611731 China

ISBN: (纸本)9798350375909

The mode-division multiplexing (MDM) technology is a promising candidate to significantly increase the system capacity of the optical fiber communication networks. However, the more complex distortions, such as the mode-related crosstalk is also introduced when the MDM is applied. In this paper, we propose a semiconductor optical amplifier based optical reservoir (SOA-OR) to perform the signal compensation function in the MDM system. We set up the experimental platform to measure the input-to-output power transferring curve, which was used as the activation function. Moreover, a three-mode (LP01, LP11a and LP11b) point-to-point link with a 12 km few-mode fiber (FMF) was tested. The signal compensation against the mode-related crosstalk was performed by using the proposed SOA-OR scheme. According to the experimental results, a clear signal-quality gain over 8.2 dB was achieved by SOA-OR, which proves the availability of the optical reservoir in MDM transmission systems. © 2024 IEEE.

关键词： Crosstalk

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Non-thermal obliteration of critically ranked carbapenem-resistant Acinetobacter baumannii and its resistance gene in a batch atmospheric plasma reactor

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Environmental science and Pollution Research 2024年第37期31卷 49811-49822页

作者： Mosaka, Thabang B. M. Unuofin, John O. Daramola, Michael O. Tizaoui, Chedly Iwarere, Samuel A. Sustainable Energy and Environment Research Group Department of Chemical Engineering Faculty of Engineering Built Environment and Information Technology University of Pretoria Pretoria Hatfield0002 South Africa Water and Resources Recovery Research Lab Department of Chemical Engineering Faculty of Science and Engineering Swansea University SwanseaSA1 8EN United Kingdom

Wastewater treatment plants (WWTPs) have been implicated as direct key reservoir of both antibiotic-resistant bacteria (ARB) and antibiotic-resistant genes (ARGs) associated with human infection, as high concentrations of ARBs and ARGs have been detected in recycled hospital wastewater. Among the ARBs, the carbapenem-resistant Acinetobacter baumannii has been ranked as priority 1 (critical) pathogen by the World Health Organization (WHO), due to its overwhelming burden on public health. Therefore, this study is aimed at investigating non-thermal plasma (NTP) technology as an alternative disinfection step to inactivate this bacterium and its ARGs. Culture-based method and PCR were employed in confirming the carbapenem resistance gene blaNDM-1 in A. baumannii (BAA 1605). Suspension of carbapenem-resistant A. baumannii (24 h culture) was prepared from the confirmed isolate and subjected to plasma treatment at varying time intervals (3 min, 6 min, 9 min, 12 min, and 15 min) in triplicates. The plasma-treated samples were evaluated for re-growth and the presence of the resistance gene. The treatment resulted in a 1.13 log reduction after 3 min and the highest log reduction of ≥ 8 after 15 min, and the results also showed that NTP was able to inactivate the blaNDM-1 gene. The log reduction and gel image results suggest that plasma disinfection has a great potential to be an efficient tertiary treatment step for WWTPs. © The Author(s) 2024.

关键词： Bacteria

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Multi-Scale Feature Fusion and Advanced Representation Learning for Multi label Image Classification

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Computers, Materials & Continua 2025年第3期82卷 5285-5306页

作者： Naikang Zhong Xiao Lin Wen Du Jin Shi Institute of Artificial Intelligence on Education Research College of InformationMechanical and Electrical EngineeringShanghai Normal UniversityShanghai200234China Lab for Educational Big Data and Policymaking Ministry of EducationShanghai Normal UniversityShanghai200234China Shanghai Intelligent Education Big Data Engineering Technology Research Center Shanghai Normal UniversityShanghai200234China Shanghai Online Education Research Base for Primary and Secondary Schools Shanghai200234China DS Information Technology Co. Ltd.Shanghai200032China Faculty of Innovation Engineering Macao university of Science and TechnologyMacao999078China

Multi-label image classification is a challenging task due to the diverse sizes and complex backgrounds of objects in *** class-specific precise representations at different scales is a key aspect of feature ***,existing methods often rely on the single-scale deep feature,neglecting shallow and deeper layer features,which poses challenges when predicting objects of varying scales within the same *** some studies have explored multi-scale features,they rarely address the flow of information between scales or efficiently obtain class-specific precise representations for features at different *** address these issues,we propose a two-stage,three-branch Transformer-based *** first stage incorporates multi-scale image feature extraction and hierarchical scale *** design enables the model to consider objects at various scales while enhancing the flow of information across different feature scales,improving the model’s generalization to diverse object *** second stage includes a global feature enhancement module and a region selection *** global feature enhancement module strengthens interconnections between different image regions,mitigating the issue of incomplete represen-tations,while the region selection module models the cross-modal relationships between image features and ***,these components enable the efficient acquisition of class-specific precise feature *** experiments on public datasets,including COCO2014,VOC2007,and VOC2012,demonstrate the effectiveness of our proposed *** approach achieves consistent performance gains of 0.3%,0.4%,and 0.2%over state-of-the-art methods on the three datasets,*** results validate the reliability and superiority of our approach for multi-label image classification.

关键词： Image classification multi-label multi scale attention mechanisms feature fusion

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Fabry-Perot Cavity Assembled on Terfenol-D Slab for High-Resolution Magnetic Field Measurement

Fabry-Perot Cavity Assembled on Terfenol-D Slab for High-Res...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

ISBN: (纸本)9781957171395

关键词： Fabry-Perot interferometers

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