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International Conference on Computing and Networking Technology (ICCNT)

作者： Agus Pratondo Astri Novianty Budi Laksono Putro Siska Komala Sari Department of Multimedia Engineering School of Applied Sciences Telkom University Bandung Indonesia Department of Computer Engineering School of Electrical Engineering Telkom University Bandung Indonesia Department of Computer Science Education Indonesia University of Education Bandung Indonesia Diploma Program of Information System School of Applied System Telkom University Bandung Indonesia

The COVID-19 epidemic has had a huge impact on the educational landscape, prompting the adoption of online and remote learning as viable alternatives to conventional in-person instruction. In order to create effective educational methods as institutions prepare for the post-pandemic period, it is essential to understand students' preferences for various learning modes. With the aid of machine learning techniques, this study seeks to forecast preferences for learning styles in post-pandemic higher education. The study made use of a dataset compiled from a wide range of college students, which included information on the institution type (public or private), program type (bachelor's or diploma), academic discipline (science or humanities), gender, year of study, internet use, communication costs, comorbidity status, vaccination history, gadget and laptop ownership, and preferred learning mode (online, in-person, or both). For the aim of prediction, a Support Vector Machine (SVM) was used. Its kernel functions included linear, polynomial, radial basis function (RBF), and sigmoid. Performance criteria like accuracy, precision, recall, and F1 score were used to assess the models after the dataset was randomly partitioned into training and testing sets. The findings showed that for identifying the preferred mode of learning, SVM with the RBF kernel had the highest prediction accuracy (91.67%). Further proving the RBF kernel's efficacy, the confusion matrix analysis showed that high values in the diagonal represented accurate predictions for each of the three classes (both online and onsite). The results imply that machine learning approaches, in particular SVM with the RBF kernel, may accurately forecast students' preferences for learning modes in the post-pandemic situation. In a post-pandemic society, the findings provide insightful information that may be used to build adaptable and inclusive learning models and put them into practice.

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Active Twistoptics: On-Chip Multidimensional Dynamic Control for Data Hypercube Reconstruction

Active Twistoptics: On-Chip Multidimensional Dynamic Control...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Haoning Tang Beicheng Lou Fan Du Guangqi Gao Mingjie Zhang Xueqi Ni Amir Yacoby Yuan Cao Shanhui Fan Eric Mazur School of Engineering and Applied Sciences Harvard University Cambridge MA USA Department of Electrical Engineering and Computer Science University of California at Berkeley Berkeley CA USA National Institute for Materials Science Tsukuba Ibaraki Japan Department of Applied Physics Ginzton Laboratory Stanford University Stanford CA USA

Our MEMS-integrated twistoptics device enables precise control of interlayer gaps and twist angles in photonic crystals, achieving high-accuracy, multidimensional light manipulation with significant potential in recon... 详细信息

ISBN: (纸本)9798350369311

关键词： Nanophotonics Electric potential Photonic crystals Lasers and electrooptics Hypercubes System-on-chip Electro-optical waveguides

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All-Dielectric Huygens’ Metawaveguides for Nonlinear Integrated Photonics

All-Dielectric Huygens’ Metawaveguides for Nonlinear Integr...

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2024 Nonlinear Photonics, NP 2024

作者： Flizikowski, G.A.S. Oner, O.W. dos Santos, L.F. Bin-Alam, M.S. Pertsch, T. Staude, I. Schmid, J.H. Cheben, P. Dolgaleva, K. School of Electrical Engineering and Computer Science University of Ottawa OttawaONK1N 6N5 Canada Department of Physics University of Ottawa OttawaONK1N 6N5 Canada National Research Council of Canada OttawaONK1A 0R6 Canada Institute of Applied Physics Abbe Center of Photonics Friedrich-Schiller-Universität Jena Jena07745 Germany

We have experimentally demonstrated the compensation of nonlinear optical effects by a silicon-on-insulator nanophotonic metawaveguide comprising a chain of resonantly forward-scattering nanoparticles, exhibiting soli... 详细信息

关键词： Forward scattering

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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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Amplified Cooling of Light via Emergent Onsager Irreversible Thermodynamics

Amplified Cooling of Light via Emergent Onsager Irreversible...

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CLEO: Fundamental Science, CLEO:FS 2024 - Part of Conference on Lasers and Electro-Optics, CLEO 2024

作者： Xiong, Zhongfei Wu, Fan O. Liu, Yang Jiang, Jian-Hua Christodoulides, Demetrios N. Chen, Yuntian School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China School of Applied and Engineering Physics Cornell University IthacaNY14853 United States Ming Hsieh Department of Electrical and Computer School of Physical Science and Technology Soochow University Suzhou215006 China Suzhou Institute for Advanced Research University of Science and Technology of China Suzhou215123 China Department of Electrical Engineering University of Southern California Los AngelesCA90089 United States Wuhan National Laboratory of Optoelectronics Huazhong University of Science and Technology Wuhan430074 China

While conventional cooling schemes solely depend on temperature differences, here we demonstrate that in photonics configurations, amplified cooling can be achieved by judiciously manipulating Onsager coefficients thr... 详细信息

ISBN: (纸本)9781957171395

关键词： Photonics

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Enhanced Imaging of Electronic Hot Spots Using Quantum Squeezed Light

arXiv

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arXiv 2024年

作者： An, Haechan Amiri, Ali Najjar Goronzy, Dominic P. Garcia Wetten, David A. Bedzyk, Michael J. Shakouri, Ali Hersam, Mark C. Hosseini, Mahdi Elmore Family School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States Department of Electrical and Computer Engineering and Applied Physics Northwestern University EvanstonIL60208 United States Department of Materials Science and Engineering Northwestern University EvanstonIL60208 United States Department of Physics and Astronomy Northwestern University EvanstonIL60208 United States Department of Chemistry Northwestern University EvanstonIL60208 United States

Detecting electronic hot spots is important for understanding the heat dissipation and thermal management of electronic and semiconductor devices. Optical thermoreflective imaging is being used to perform precise temporal and spatial imaging of heat on wires and semiconductor materials. We apply quantum squeezed light to perform thermoreflective imaging on micro-wires, surpassing the shot-noise limit of classical approaches. We obtain a far-field temperature sensing accuracy of 42 mK after 50 ms of averaging and show that a 256×256 pixel image can be constructed with such sensitivity in 10 minutes. We can further obtain single-shot temperature sensing of 1.6 K after only 10 µs of averaging enabling dynamical study of heat dissipation. Not only do the quantum images provide accurate spatio-temporal information about heat distribution, but the measure of quantum correlation provides additional information, inaccessible by classical techniques, that can lead to a better understanding of the dynamics. We apply the technique to both Al and Nb microwires and discuss the applications of the technique in studying electron dynamics at low temperatures. © 2024, CC BY.

关键词： Shot noise

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On-Chip Injection Locked Nonlinear Wavelength Conversion

On-Chip Injection Locked Nonlinear Wavelength Conversion

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CLEO: Science and Innovations, S and I 2022

作者： Staffa, Jeremy Ling, Jingwei Shen, Boqiang Wang, Heming Chang, Lin Javid, Usman A. Yuan, Zhiquan Wu, Lue Vahala, Kerry J. Bowers, John E. Lin, Qiang Institute of Optics University of Rochester RochesterNY14627 United States Department of Electrical and Computer Engineering University of Rochester RochesterNY14627 United States T. J. Watson Laboratory of Applied Physics California Institute of Technology PasadenaCA91125 United States Department of Electrical and Computer Engineering University of California Santa Barbara Santa BarbaraCA93106 United States

We demonstrate narrow linewidth, second-harmonic generation using a semiconductor DFB laser self-injection locked with a high-Q lithium niobate microresonator. A second-harmonic linewidth of 31kHz is achieved from 36d... 详细信息

ISBN: (纸本)9781557528209

关键词： Niobium compounds

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Ultra-low energy programmable non-volatile silicon photonics based on graphene heaters

Ultra-low energy programmable non-volatile silicon photonics...

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CLEO: Science and Innovations, S and I 2022

作者： Fang, Zhuoran Chen, Rui Zheng, Jiajiu Khan, Asir Intisar Neilson, Kathryn M. Saxena, Abhi Chen, Michelle Rios, Carlos Hu, Juejun Pop, Eric Majumdar, Arka Department of Electrical and Computer Engineering University of Washington SeattleWA98195 United States Department of Physics University of Washington SeattleWA98195 United States Department of Electrical Engineering Stanford University StanfordCA94305 United States Department of Materials Science and Engineering University of Maryland College ParkMD20742 United States Institute for Research in Electronics & Applied Physics University of Maryland College ParkMD20742 United States Department of Materials Science and Engineering Massachusetts Institute of Technology MA02139 United States

We demonstrate a nonvolatile electrically programmable phase-change silicon photonic switch and phase shifter leveraging a monolayer graphene heater with record-high programming energy efficiency (8.7±1.4 aJ/nm3)... 详细信息

ISBN: (纸本)9781557528209

关键词： Silicon photonics

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Upper limit to quantum interaction strength between free electrons and electromagnetic single modes

Upper limit to quantum interaction strength between free ele...

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CLEO: Fundamental Science, CLEO:FS 2024 - Part of Conference on Lasers and Electro-Optics, CLEO 2024

作者： Xie, Zetao Chen, Zeling Li, Hao Yan, Qinghui Chen, Hongsheng Lin, Xiao Kaminer, Ido Miller, Owen D. Yang, Yi Department of Physics HK Institute of Quantum Science and Technology The University of Hong Kong Pokfulam Hong Kong Department of Applied Physics Energy Sciences Institute Yale University New HavenCT06520 United States Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation ZJU-Hangzhou Global Science and Technology Innovation Center College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China Solid State Institute Faculty of Electrical and Computer Engineering Technion - Israel Institute of Technology Haifa32000 Israel

ISBN: (纸本)9781957171395

Free-electron quantum optics facilitates electron-photon entanglement for quantum information processing. The challenge is finding specialized photonic-structures optimizing electron-photon interactions. We present a first-principle upper limit on the interaction strength, guiding the design of future structures. © Optica Publishing Group 2024, © 2024 The Author(s)

关键词： Quantum optics

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Ultrafast All-Optical Measurement of Squeezed Vacuum in a Lithium Niobate Nanophotonic Circuit

arXiv

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arXiv 2025年

作者： Williams, James Sendonaris, Elina Nehra, Rajveer Gray, Robert M. Sekine, Ryoto Ledezma, Luis Marandi, Alireza Department of Electrical Engineering California Institute of Technology PasadenaCA91125 United States Department of Applied Physics California Institute of Technology PasadenaCA91125 United States Department of Electrical and Computer Engineering University of Massachusetts Amherst AmherstMA01003 United States Department of Physics University of Massachusetts Amherst AmherstMA01003 United States College of Information and Computer Science University of Massachusetts Amherst AmherstMA01003 United States

Squeezed vacuum, a fundamental resource for continuous-variable quantum information processing, has been used to demonstrate quantum advantages in sensing, communication, and computation. While most experiments use homodyne detection to characterize squeezing and are therefore limited to electronic bandwidths, recent experiments have shown optical parametric amplification (OPA) to be a viable measurement strategy. Here, we realize OPA-based quantum state tomography in integrated photonics and demonstrate the generation and all-optical Wigner tomography of squeezed vacuum in a nanophotonic circuit. We employ dispersion engineering to enable the distortion-free propagation of femtosecond pulses and achieve ultrabroad operation bandwidths, effectively lifting the speed restrictions imposed by traditional electronics on quantum measurements with a theoretical maximum clock speed of 6.5 THz. We implement our circuit on thin-film lithium niobate, a platform compatible with a wide variety of active and passive photonic components. Our results chart a course for realizing all-optical ultrafast quantum information processing in an integrated room-temperature platform. © 2025, CC BY-NC-ND.

关键词： Parametric amplifiers

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