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IEEE International Conference on Smart Energy Grid engineering (SEGE)

作者： Mahmoud M. Kiasari Hamed H. Aly Electrical and Computer Engineering Department Smart Grid and Green Power Research Laboratory Dalhousie University

ISBN: (数字)9798350377378

ISBN: (纸本)9798350377385

As the world moves toward sustainable energy solutions, wind power emerges as a pivotal renewable energy (RE) source due to its accessibility and zero carbon emission. However, its unpredictable nature poses significant forecasting challenges, that impact energy management efficiency. This study tackles this vital challenge by integrating solar power data into advanced machine learning models to enhance the forecast accuracy and quantifying uncertainty of wind power. The MERRA-2 dataset – a comprehensive atmospheric reanalysis from NASA – spanning 2017 to 2019 across three locations of Canadian provinces, British Colombia, Manitoba, and Nova Scotia has been considered for this work. A novel hybrid machine learning framework that combines the strengths of Artificial Neural Networks (ANN), Long Short-Term Memory Networks (LSTM), and Support Vector Machines (SVM), has been used. Utilizing this framework excels in pattern recognition, temporal data processing, and regression analysis, effectively will improve the precision of wind power forecasts. Besides, it provides a robust framework for quantifying forecast uncertainty and enhancing decision-making in renewable energy management. The superiority of this model is demonstrated through comparative evaluations against conventional methods using various metrics to establish its efficacy and applicability in real-world scenarios.

关键词： Support vector machines Renewable energy sources Accuracy Atmospheric modeling Machine learning Wind power generation Predictive models Smart grids Wind forecasting Long short term memory

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A 1.65 to 1.84 GHz Filtering SPDT Switch With Fully Tunable Insertion Phase Using NRN and Mixed Electromagnetic Coupling Techniques

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IEEE Transactions on Circuits and Systems II: Express Briefs 2023年第9期70卷 3353-3357页

作者： Wei, Zhihua Chi, Pei-Ling Xu, Ruimin Yang, Tao School of Electronic Science and Engineering University of Electronic Science and Technology of China Chengdu Sichuan611731 China Department of Electrical and Computer Engineering National Chiao Tung University Hsinchu300 Taiwan Research Center of Advanced RF Chips and Systems Nanhu Laboratory Jiaxing Zhejiang314000 China

This brief presents a novel filtering single-pole-double-throw (SPDT) switch with continuously tunable center frequency and insertion phase. It is comprised of six varactor-loaded microstrip resonators and three tunable non-resonating nodes (NRNs) at source and loads. The controllable mixed electromagnetic couplings are introduced on the two main paths of each channel of the switch. At ON-state, the designed filtering switch can generate a 4th-order bandpass filtering performance with high selectivity, and the insertion phase can be continuously tuned with a full 360° tuning range by changing the reactances of NRNs and switching the dominated modes of the mixed couplings. At OFF-state, the mixed electromagnetic couplings are set to zero, and hence high isolation can be realized. To validate the proposed technique, a circuit prototype is designed and fabricated. The measured results suggest that the designed filtering SPDT switch can operate with a tunable center frequency ranging from 1.65 GHz to 1.84 GHz, and its insertion phase at ON-state channel can be continuously tuned from -180° to 180°. During the whole tuning process, the measured in-band isolation for OFF-state channel keeps better than 40 dB. © 2023 IEEE.

关键词： Bandpass filters

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Work-in-Progress: A Hybrid Collaborative Multi Agent Decision Making Algorithm With Factored-Value Max-Plus

Work-in-Progress: A Hybrid Collaborative Multi Agent Decisio...

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2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023

作者： Cotae, Paul Reindorf, Nii Emil Alexander Kang, Myong Velazquez, Alexander The University of the District of Columbia Department of Electrical and Computer Engineering WashingtonDC United States Center for High Assurance Computer Systems U. S. Naval Research Laboratory WashingtonDC United States

ISBN: (纸本)9798350337822

We focus on a real-time multi agent decision-making algorithm that combines a centralized algorithm and a distributed algorithm. A network segmentation is unavoidable in a dynamic environment. In such cases, it is necessary for each agent to continually make the most urgent real-time decisions in both centralized and decentralized ways. In this paper, we present a Hybrid Factored-Value Max-Plus algorithm with cost which has online, anytime, and scalable properties despite network segmentation. We also study the performance of centralized and distributed algorithms to understand the performance characteristics of a hybrid algorithm. © 2023 IEEE.

关键词： Decision making

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Experimental validation of multiferroic antennas in GHz frequency range

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Applied Physics Letters 2023年第16期123卷 1-6页

作者： Xu, Rui-Fu Ippet-Letembet, Louis-Charles Tiwari, Sidhant Yao, Zhi [Jackie] Huang, Shih-Ming Candler, Rob N. Chen, Shih-Yuan Graduate Institute of Communication Engineering National Taiwan University Taipei10617 Taiwan Department of Electrical and Computer Engineering University of California Los AngelesCA90095 United States Applied Mathematics and Computational Research Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States California NanoSystems Institute Los AngelesCA90095 United States Department of Electrical Engineering National Taiwan University Taipei10617 Taiwan

Various mechanical antennas have emerged to overcome the inherently narrower bandwidth and degraded efficiency in electrically small antennas. Among them, multiferroic antennas are expected to realize high-frequency applications and maintain their performance, even with significantly reduced sizes. However, experimental proof of such radiation from multiferroic or magnetoelectric coupling in the GHz range deserves further examination. This paper designs and fabricates a series of multiferroic antenna samples with mechanical resonances at around 3.5 and 6 GHz, and their radiation transmissions are tested at these resonances. Nickel, a magnetoelastic material, consistently exhibits magnetically induced radiation at both resonances. However, magnetic material consisting of Permalloy (Ni78Fe22), known for its much weaker magnetoelastic effects, still shows similar transmission behaviors at 3.67 GHz and enhanced power absorption at 6.42 GHz. Our results indicate that the dynamic response of magnetoelastic materials in the GHz band should differ from their response at the MHz and below bands. This evidence calls for further investigations of the source of magnetoelectric radiation. © 2023 Author(s).

关键词： Iron alloys

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Highly Sensitive Refractive Index Sensing Based on Microwave-Photonic Hybrid Optical Fiber Interferometers

Highly Sensitive Refractive Index Sensing Based on Microwave...

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Frontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023

作者： Zhu, Chen Huang, Jie Research Center for Optical Fiber Sensing Zhejiang Laboratory Hangzhou311100 China Department of Electrical and Computer Engineering Missouri University of Science and Technology RollaMO65409 United States

A simple yet new sensing method for measurements of refractive index based on microwave-photonic hybrid optical fiber interferometers (optically coherent and incoherent) is proposed and experimentally demonstrated. &#... 详细信息

ISBN: (纸本)9781957171296

关键词： Fabry Perot interferometers Fiber optic couplers Index measurements Long period fiber gratings Optical fibers Tilted fiber Bragg gratings

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Employing the Vernier Effect for Sensitivity Enhancement in a Distributed Optical Fiber Sensor

Employing the Vernier Effect for Sensitivity Enhancement in ...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

Distributed optical fiber sensing based on microwave photonics with significantly improved and tunable sensitivity enabled by the distributed Vernier effect is demonstrated. © Optica Publishing Group 2023.

ISBN: (纸本)9781957171258

关键词： Optical fibers

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Optical Fiber Curvature Sensor With High Sensitivity and a Broad Dynamic Range Enabled by Machine Learning

Optical Fiber Curvature Sensor With High Sensitivity and a B...

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Frontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023

An optical fiber curvature sensor based on a no-core fiber (NCF) cascaded with a hollow-core fiber (HCF), realizing simultaneously high sensitivity and a broad dynamic range with the assistance of machine learning ana... 详细信息

ISBN: (纸本)9781957171296

关键词： Curvature sensors Fiber Bragg gratings Fiber optic sensors Long period fiber gratings Machine learning Optical fibers

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Generative Neural Net for Spatial Concept-To-Image

Generative Neural Net for Spatial Concept-To-Image

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2023 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2023

作者： Young, Brendan Anderson, Derek T. Keller, James M. Petry, Fred Michael, Chris J. University of Missouri Electrical Engineering and Computer Science Department ColumbiaMO United States Stennis Space Center MS U.S. Naval Research Laboratory United States

ISBN: (纸本)9798350359527

Numerous artificial intelligence (AI) approaches, such as generative AI (GAI), large language models (LLM) and text-To-image networks, necessitate spatial intelligence for effective operation. Yet, a prevailing ideology embedded in contemporary solutions is their inclination to strictly adhere to a data-driven approach when addressing spatial learning. This viewpoint leads to opaque solutions, aka "black boxes", and it presupposes that the intricacies of spatial reasoning will effortlessly surface as an inherent byproduct of extensive data exposure. This simplistic reliance on data overlooks the wealth of established psychology and mathematics governing spatial relations and their inherent uncertainties. In this article, we delve into neural networks and learning strategies for incorporating well-established spatial relations mathematics into an effective and explainable GAI. Specifically, we showcase how to translate abstract concepts, expressed as sets of spatial relations, into visual imagery. This resulting imagery can be immediately used or passed on as a spatial prior to a larger and more sophisticated GAI. We present two synthetic use cases wherein spatial concepts materialize as intricate arrangements of multi-part colored geometric primitives, undergoing a spectrum of diverse planar affine transformations. Our exploration is categorized into two dimensions: discerning spatial placements (aka the "where") and shape depiction (aka the "what"). Overall, we've noted a strength in our proposed neural networks in discerning spatial placements. However, while our nets also exhibit a competence in determining "what"to depict, we recognize the necessity for additional fine-Tuning to achieving visual imagery consistent with state-of-The-Art works like DALL-E and stable diffusion. © 2023 IEEE.

关键词： Abstracting

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Experimental Evaluation of the Impact of Using Oriented Steel in Proportion to Segmentation on Core Loss of AC Electric Machine Stator

Experimental Evaluation of the Impact of Using Oriented Stee...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Khoshoo, Bhuvan Aggarwal, Anmol Agapiou, John Foster, Shanelle N. Michigan State University Department of Electrical & Computer Engineering East LansingMI United States General Motors PontiacMI United States General Motors Manufacturing Systems Research Laboratory WarrenMI United States

ISBN: (纸本)9798350376067

The strategic incorporation of oriented steel in a segmented stator AC electric machine has the potential to enhance machine performance by reducing core losses compared to a machine designed with non-oriented steel. However, the introduction of cut-edges and the stress on individual segments resulting from segmented stator construction may have unintended consequences. Despite several attempts to assess the impact of cut-edges or oriented steel on core losses in segmented stators, the literature lacks an analysis of the loss separation between tooth and back-iron components using manufactured stators. This gap in understanding prevents a comprehensive assessment of the true impact of using oriented steel in segmented stator construction for core loss improvement. In this work, the loss of each tooth and back-iron segment is calculated by conducting experiments with three different electromagnetic devices, specifically H-shaped steel laminations. By comparing the results from three manufactured stators, we elucidate the influence of oriented steel in proportion to the segmented stator construction. © 2024 IEEE.

关键词： Stators

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AOM-Free Laser Stabilization using integrated Silicon Nitride Carrier-Tracking Stress-Optic Modulator and Reference Cavity

AOM-Free Laser Stabilization using integrated Silicon Nitrid...

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Optica Quantum 2.0 Conference and Exhibition, Quantum 2.0

作者： Wang, Jiawei Liu, Kaikai Rudy, Ryan Q. Blumenthal, Daniel J. Department of Electrical and Computer Engineering University of California Santa Barbara Santa BarbaraCA93016 United States DEVCOM Army Research Laboratory AdelphiMD20783 United States

A laser stabilization scheme is demonstrated with 40-dB noise reduction and sub-kHz ILW using an integrated carrier-tracking Si3N4 stress-optic modulator to replace the AOM and EOM for PDH locking to an integrated Si3... 详细信息

ISBN: (纸本)9781957171272

关键词： Fiber optic communications Frequency modulation Laser sources Phase modulation Silicon Tunable lasers

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