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Multi-color solitons and frequency combs in microresonators

Optics Express 2025年第10期33卷 21824-21835页

作者： Menyuk, Curtis R. Shandilya, Pradyoth Courtright, Logan Moille, Grégory Srinivasan, Kartik Computer Science and Electrical Engineering Department University of Maryland Baltimore County BaltimoreMD21250 United States Joint Quantum Institute NIST University of Maryland College ParkMD20742 United States Microsystems and Nanotechnology Division National Institute of Standards and Technology GaithersburgMD20899 United States

Multi-color solitons that are parametrically created in dual-pumped microresonators generate interleaved frequency combs that can be used to obtain combs at new frequencies and, when synchronized, can be used for low-noise microwave generation and potentially as an element in a chip-scale clockwork. Here, we first derive three-wave equations that describe multi-color solitons that appear in microresonators with a nearly quartic dispersion profile. These solitons are characterized by a single angular group velocity and different angular phase velocities. We then use these equations to explain the interleaved frequency combs that are observed at the output of the microresonator. Finally, we used these equations to describe the experimentally-observed soliton-OPO effect. In this effect, the pump frequency color interacts nonlinearly with a signal frequency color to create an idler frequency color in a new frequency range, somewhat analogous to an optical parametric oscillation (OPO) process, but in which the Kerr nonlinearity plays a role in matching the angular group velocity, analogous to soliton formation. These three colors then create an interleaved frequency comb in the output waveguide. We determine the conditions under which we expect this effect to occur. We anticipate that the three-wave equations and their extensions will be of use in designing new frequency comb systems and determining their stability and noise performance. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Solitons

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Encoder-Decoder Calibration for Multimodal Machine Translation

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第8期5卷 3965-3973页

作者： Tayir, Turghun Li, Lin Li, Bei Liu, Jianquan Lee, Kong Aik Wuhan University of Technology School of Computer Science and Artificial Intelligence Wuhan430070 China Northeastern University School of Computer Science and Engineering Shenyang110004 China NEC Corporation Video Insights Discovery Research Group Visual Intelligence Research Laboratories Tokyo999001 Japan The Hong Kong Polytechnic University Department of Electrical and Electronic Engineering Kowloon999077 Hong Kong

The main purpose of multimodal machine translation (MMT) is to improve the quality of translation results by taking the corresponding visual context as an additional input. Recently many studies in neural machine translation have attempted to obtain high-quality multimodal representation of encoder or decoder via attention mechanism. However, attention mechanism does not always accurately identify the decisive input for each prediction, which leads to an unsatisfactory multimodal information fusion. To this end, we propose an encoder-decoder (Enc-Dec) calibration method which can automatically calibrate the image and text fusion representation in the encoder, and find the decisive input to the translation in the decoder. We validate our model on the MMT dataset Multi30K. Experimental results show that our method significantly outperforms several recent baselines for both English-German and English-French translation tasks in terms of BLEU and METEOR. © 2020 IEEE.

关键词： Calibration

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A Comparative Analysis of SiC MOSFET Performance in a Traction Inverter 20

A Comparative Analysis of SiC MOSFET Performance in a Tracti...

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20th IEEE Asia Pacific Conference on Circuits and Systems and IEEE Asia Pacific Conference on Postgraduate Research in Microelectronics Electronics, APCCAS and PrimeAsia 2024

作者： Wu, Chih-Chiang Rout, Uma Sankar Wang, Yu-Long Lin, Yi-Ling Hu, Jwu-Sheng National Yang Ming Chiao Tung University Department of Electrical Engineering & Computer Science Taiwan Industrial Technology Research Institute Mechanical and Mechatronics Systems Research Laboratories Hsinchu Taiwan

ISBN: (纸本)9798350378771

This study rigorously tests and verifies silicon carbide (SiC) power modules within a developed 800 V electric vehicle traction inverter. SiC traction inverters offer high efficiency, power density, and compact size. The developed SiCbased traction inverter is thoroughly evaluated on the established platform with various switching frequency, achieving a peak drive efficiency exceeding 98% at 6 kHz and a power density of 50 kW/L. © 2024 IEEE.

关键词： Power MOSFET

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Applying t-Distributed Stochastic Neighbor Embedding for Improving Fingerprinting-Based Localization System

IEEE Sensors Letters

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IEEE Sensors Letters 2023年第9期7卷 1页

作者： Tarekegn, Getaneh Berie Tai, Li-Chia Lin, Hsin-Piao Tesfaw, Belayneh Abebe Juang, Rong-Terng Hsu, Huan-Chia Huang, Kai-Lun Singh, Kanishk National Yang Ming Chiao Tung University Department of Electrical and Computer Engineering Hsinchu30010 Taiwan National Yang Ming Chiao Tung University Institute of Electrical and Control Engineering Hsinchu30010 Taiwan National Taipei University of Technology Department of Electronic Engineering Taipei10608 Taiwan National Taipei University of Technology Department of Electrical Engineering and Computer Science Taipei10608 Taiwan Feng Chia University Department of Electronic Engineering Taichung40724 Taiwan Industrial Technology Research Institute Information and Communications Research Laboratories Hsinchu310401 Taiwan

Large-scale location estimation is crucial for many artificial intelligence Internet of Things (IoT) applications in the era of smart cities. This letter proposes a deep learning-based outdoor positioning scheme for large-scale wireless settings using fingerprinting techniques. We first developed a feature extraction technique using t-distributed stochastic neighbor embedding (t-SNE) to extract dominant and distinguishable features while eliminating noises from the radio fingerprints. Afterward, we developed a deep learning-based coarse-fine localization framework to improve positioning performance significantly. Based on our numerical analysis, the proposed scheme reduces computation time by 64.41%, and the average positioning error is 38 cm. Therefore, the proposed approach significantly improved positioning accuracy and reduced computation time. © 2017 IEEE.

关键词： Feature extraction

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A SiC-Based 243 kW 60 kW/L Electric Vehicle Traction Inverter

A SiC-Based 243 kW 60 kW/L Electric Vehicle Traction Inverte...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Wu, Chih-Chiang Rout, Uma Sankar Chou, Hsin-Ping Hu, Jwu-Sheng Industrial Technology Research Institute Mechanical and Mechatronics Systems Research Laboratories Hsinchu Taiwan National Yang Ming Chiao Tung University Department of Electrical Engineering & Computer Science Hsinchu Taiwan

ISBN: (纸本)9798350376067

This paper investigates the evolving landscape of EV traction inverters, addressing key technical goals outlined by US Drive and analyzing parameters such as voltage, power density, and efficiency. Through innovative methodologies, a high-efficiency SiC-based traction inverter is developed to overcome challenges like spatial constraints. Leveraging international benchmarks, a cutting-edge SiC-based 800V 243 kW traction inverter with a power density of 60 kW/L is presented, poised to surpass US Drive's 2025 targets. This study emphasizes SiC technology's role in advancing EV propulsion systems towards sustainable and efficient transportation solutions. © 2024 IEEE.

关键词： power density silicon carbide high-efficiency sustainable transportation traction inverter

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Monolithically 3D-Printed, Self-Heating Microfluidics

Monolithically 3D-Printed, Self-Heating Microfluidics

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Micro and Nanotechnology for Power Generation and Energy Conversion Applications (PowerMEMS)

作者： Jorge Cañada Luis F. Velásquez-García Electrical Engineering and Computer Science Massachusetts Institute of Technology USA Microsystems Technology Laboratories Massachusetts Institute of Technology USA

This paper reports the proof-of-concept demonstration of novel, single-step-fabricated, low-cost, and low-waste microfluidic devices with monolithically integrated heaters. Monolithic fabrication of microfluidic features and electric resistors is achieved via multi-material extrusion using pure and copper microparticle-doped polylactic acid, respectively. Homogeneous and spatially varying heating profiles are demonstrated through the implementation of custom resistor geometries. Thermal sensitivity of the copper-doped material used for electric resistor fabrication suggests the possibility of implementing closed-loop temperature regulation within the monolithic fabrication process. This work is of great interest for the low-cost, low-waste, and fast manufacture of custom microfluidics with temperature regulation capability.

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Experimental Demonstration of a Data Collection System and an Effective Relaying Model in a UAV Network 1

Experimental Demonstration of a Data Collection System and a...

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1st Asian Conference on Communication and Networks, ASIANComNet 2024

作者： Abdulsattar, Nejood F. Ward, Zahraa Hassan Shrivastava, Neeraj Ghafour, Rizgar Rahman Abbas, Fatima Hashim Habelalmateen, Mohammed I. Department of Computer Technical Engineering Al-Diwaniyah Iraq Mazaya University College Department of Computer Techniques Engineering DhiQar Iraq Medicaps University Department of Electrical Engineering MP Indore India National University of Science and Technology Dhi Qar Iraq Al-Mustaqbal University Medical Laboratories Techniques Department Hillah Iraq The Islamic University College of Technical Engineering Department of Computer Technical Engineering Najaf Iraq

ISBN: (纸本)9798350367003

In recent times, unmanned aerial vehicles (UAVs) are constructed in the vehicular network. Through this technology the communication becomes more flexible and efficient but still it consists of certain drawbacks in terms of device deployment and data collection. For that purpose, in this article an efficient data collection system and effective relaying model (DCERM-UAV) is constructed in the aerial vehicles to improve the network stability. The core concentrations of these models are providing effective data aggregation, relaying among the vehicles and improving deployment of it. Through this process the stability of the vehicles is increased and that leads to high quality communication among them. The parameters which are used to analyses the performance of the network model are energy efficiency, energy consumption, network throughput, routing overhead and data delivery ratio. From the final results it gets proven that the DCERM-UAV achieves maximum efficiency when compared with the earlier research works. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Fully 3D-Printed, Semiconductor-Free, Transistor-Like Logic Devices

Fully 3D-Printed, Semiconductor-Free, Transistor-Like Logic ...

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International Conference on Solid State Sensors and Actuators (TRANSDUCERS)

作者： Jorge Cañada Luis Fernando Velásquez-García Electrical Engineering and Computer Science Massachusetts Institute of Technology USA Microsystems Technology Laboratories Massachusetts Institute of Technology USA

We report the first proof-of-concept demonstration of fully 3D-printed, transistor-like, no-moving-parts switches capable of performing logic operations. The devices are monolithically made via material extrusion using copper nanoparticle-reinforced PLA and pure PLA. The enabling mechanism is a newly discovered, temperature-induced, reversible spike in resistivity that narrow, 3D-printed conductive traces experience when carrying current over a specific threshold. The operation of the proposed device is demonstrated through the successful implementation of the first fully 3D-printed logic gates, and through its use as a switch to actuate a DC motor. This work represents a major leap towards the monolithic fabrication of intelligent, semiconductor-free, integrated electromechanical devices by enabling the 3D printing of active electronics.

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Real-Time Data-Driven Maintenance Logistics: A Public-Private Collaboration

Real-Time Data-Driven Maintenance Logistics: A Public-Privat...

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2024 Commit2Data, C2D 2024

作者： van Jaarsveld, Willem Bliek, Laurens de Weerdt, Mathijs Kapodistria, Stella Pronk, Verus Verleijsdonk, Peter Voorberg, Simon Akçay, Alp da Costa, Paulo Eshuis, Rik Kaymak, Uzay van Houtum, Geert-Jan Verwer, Sicco Zhang, Yingqian Department of Industrial Engineering and Innovation Sciences Eindhoven University of Technology Netherlands Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Netherlands Department of Mathematics and Computer Science Eindhoven University of Technology Netherlands Philips Research Laboratories Eindhoven Netherlands Department of Information Systems Supply Chain Management and Decision Analysis NEOMA Business School Rouen France Etsy Inc. Dublin Ireland Jheronimus Academy of Data Science Eindhoven University of Technology Netherlands

ISBN: (纸本)9783959773515

The project "Real-time data-driven maintenance logistics" was initiated with the purpose of bringing innovations in data-driven decision making to maintenance logistics, by bringing problem owners in the form of three innovative companies together with researchers at two leading knowledge institutions. This paper reviews innovations in three related areas: How the innovations were inspired by practice, how they materialized, and how the results impact practice. © Willem van Jaarsveld, Alp Akçay, Laurens Bliek, Paulo da Costa, Mathijs de Weerdt, Rik Eshuis, Stella Kapodistria, Uzay Kaymak, Verus Pronk, Geert-Jan van Houtum, Peter Verleijsdonk, Sicco Verwer, Simon Voorberg, and Yingqian Zhang.

关键词： Scheduled maintenance

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Extrinsic and Temporal Calibration of Automotive Radar and 3-D LiDAR in Factory and On-Road Calibration Settings

IEEE Open Journal of Intelligent Transportation Systems

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IEEE Open Journal of Intelligent Transportation Systems 2023年 4卷 708-719页

作者： Lee, Chia-Le Hou, Chun-Yu Wang, Chieh-Chih Lin, Wen-Chieh Institute of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu300 Taiwan National Yang Ming Chiao Tung University Department of Electrical and Computer Engineering Hsinchu300 Taiwan Industrial Technology Research Institute Mechanical and Mechatronics Systems Research Laboratories Hsinchu31040 Taiwan National Yang Ming Chiao Tung University Department of Computer Science Hsinchu300 Taiwan

While automotive radars are widely used in ADAS and autonomous driving, extrinsic and temporal calibration of automotive radars with other sensors is still daunting due to the sparsity, uncertainty, and missing elevation angles of automotive radar measurements. We propose a target-based calibration approach of 3D automotive radar and 3D LiDAR that performs extrinsic and temporal calibration in both factory and on-road settings. In factory calibration settings, a map is built with precise target poses;target trajectories are estimated based on map-based target localization in which the accuracy of both nearby and faraway target pose estimates can be ensured. The spatial and temporal relationships between radar and LiDAR measurements are established with target trajectories to accomplish extrinsic and temporal calibration. The proposed data collection procedure provides sufficient motion for analyzing time delay between sensors and can significantly reduce the data collection effort and time. There is 52.3% distance error reduction after time delay compensation in the experiment, which shows the improvements of temporal calibration. In on-road calibration settings, the metal objects with semantic labels, such as traffic signs, are selected as calibration targets. Although there could be insufficient correspondences to infer the missing dimension of planar radar for six DoF extrinsic calibration as demonstrated in factory calibration settings, the three extrinsic parameters and the time delay are shown still to be accurate. We validated the proposed method using the nuScenes datasets, which provide sensor measurements, poses, and HD map. With twenty-two data logs, each has over 1000 correspondences, the result of extrinsic parameters reaches centimeter-level accuracy compared with the offered benchmark. The time delay compensation improves 1 meter error for radar tracking in a 20 m/s vehicle case and improves mapping quality in real world data. © 2020 IEEE.

关键词： Calibration

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