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arXiv 2024年

作者： Musslick, Sebastian Bartlett, Laura K. Chandramouli, Suyog H. Dubova, Marina Gobet, Fernand Griffiths, Thomas L. Hullman, Jessica King, Ross D. Nathan Kutz, J. Lucas, Christopher G. Mahesh, Suhas Pestilli, Franco Sloman, Sabina J. Holmes, William R. Institute of Cognitive Science Osnabrück University Osnabrück49090 Germany Department of Cognitive Linguistic & Psychological Sciences Brown University ProvidenceRI02912 United States Centre for Philosophy of Natural and Social Science London School of Economics Lakatos Building Houghton Street LondonWC2A 2AE United Kingdom AaltoFI-00076 Finland Department of Computing Science University of Alberta 8900 114 St NW EdmontonABT6G 2S4 Canada Cognitive Science Program Indiana University 1101 E 10th St BloomingtonIN47405 United States School of Psychology University of Roehampton LondonSW15 4JD United Kingdom Departments of Psychology and Computer Science Princeton University PrincetonNJ United States Department of Computer Science Northwestern University IL United States Department of Chemical Engineering and Biotechnology University of Cambridge CambridgeCB3 0AS United Kingdom Department of Computer Science and Engineering Chalmers University of Technology Gothenburg412 96 Sweden Department of Applied Mathematics and Electrical and Computer Engineering University of Washington Seattle98195 United States School of Informatics University of Edinburgh 10 Crichton St. EH8 9AB United Kingdom Department of Materials Science and Engineering University of Toronto Canada Department of Psychology Department of Neuroscience The University of Texas AustinTX United States Department of Computer Science University of Manchester M13 9PL United Kingdom

Automation transformed various aspects of our human civilization, revolutionizing industries and streamlining processes. In the domain of scientific inquiry, automated approaches emerged as powerful tools, holding promise for accelerating discovery, enhancing reproducibility, and overcoming the traditional impediments to scientific progress. This article evaluates the scope of automation within scientific practice and assesses recent approaches. Furthermore, it discusses different perspectives to the following questions: Where do the greatest opportunities lie for automation in scientific practice?;What are the current bottlenecks of automating scientific practice?;and What are significant ethical and practical consequences of automating scientific practice? By discussing the motivations behind automated science, analyzing the hurdles encountered, and examining its implications, this article invites researchers, policymakers, and stakeholders to navigate the rapidly evolving frontier of automated scientific practice. © 2024, CC BY.

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Breaking down the silos: Innovations for multidisciplinary programs

Breaking down the silos: Innovations for multidisciplinary p...

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2020 ASEE Virtual Annual Conference, ASEE 2020

作者： Amoo, Michaela E. Bringardner, Jack Chen, Jen-Yeu Coyle, Edward J. Finnegan, Jillana Kim, Charles J. Koman, Patricia D. Lagoudas, Magdalini Z. Llewellyn, Donna C. Logan, Louise Sonnenberg-Klein, Julie Trent, Nadia Millis Strachan, Scott Munro Ward, Bennett C. Department of Electrical Engineering and Computer Science Howard University United States NYU's Tandon School of Engineering United States National Dong Haw University Taiwan Georgia Institute of Technology United States Boise State University United States University of Michigan College of Engineering Multidisciplinary Design Program United States Texas A&M University United States University of Strathclyde United Kingdom University of Pretoria South Africa Virginia Commonwealth University College of Engineering United States

Universities, colleges and academic departments acknowledge the need for more collaborative, multidisciplinary, entrepreneurial, and global education. Unfortunately, this is no trivial task. Centuries of tradition have produced institutional silos, reinforced by layers of policy and cultural differences between academic departments, between colleges, and between academic and non-academic units. Successful multidisciplinary programs require programmatic and administrative innovation that meet faculty, student and institutional needs and leverage available resources. The Vertically Integrated Project (VIP) model, in place at thirty-seven institutions, has achieved notable success in these areas. This paper profiles innovations from ten VIP programs in three areas: institutional organization, program organization, and faculty approaches. With these innovations, the programs have broken down silos and cultivated meaningful partnerships to meet the needs of multiple stakeholders. The featured institutions vary in size and mission and represent four countries. Each innovation is presented with a brief background to provide context on how the VIP program is situated within the larger institution. Together, these backgrounds, innovations, and lessons learned can benefit others seeking to develop and/or maintain cross-campus multidisciplinary programs. © American Society for engineering Education 2020.

关键词： Education computing

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Scalable smartphone cluster for deep learning

arXiv

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arXiv 2021年

作者： Na, Byunggook Jang, Jaehee Park, Seongsik Kim, Seijoon Kim, Joonoo Jeong, Moon Sik Kim, Kwang Choon Heo, Seon Kim, Yoonsang Yoon, Sungroh Dept. of Electrical and Computer Engineering Seoul National University Seoul Korea Republic of Korea Institute of Science and Technology Seoul Korea Republic of Samsung Advanced Institute of Technology Samsung Electronics Suwon Korea Republic of Mobile Communications Business Samsung Electronics Suwon Korea Republic of ASRI INMC ISRC Interdisciplinary Program in AI Seoul National University Seoul Korea Republic of

Various deep learning applications on smartphones have been rapidly rising, but training deep neural networks (DNNs) has too large computational burden to be executed on a single smartphone. A portable cluster, which connects smartphones with a wireless network and supports parallel computation using them, can be a potential approach to resolve the issue. However, by our findings, the limitations of wireless communication restrict the cluster size to up to 30 smartphones. Such small-scale clusters have insufficient computational power to train DNNs from scratch. In this paper, we propose a scalable smartphone cluster enabling deep learning training by removing the portability to increase its computational efficiency. The cluster connects 138 Galaxy S10+ devices with a wired network using Ethernet. We implemented large-batch synchronous training of DNNs based on Caffe, a deep learning library. The smartphone cluster yielded 90% of the speed of a P100 when training ResNet-50, and approximately 43x speed-up of a V100 when training MobileNet-v1. © 2021, CC BY-NC-ND.

关键词： Smartphones

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TextAI 3.0 (Multimodal): multimodal sentiment analysis using attention-enabled ensemble-based deep learning in hyperbolic space

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International Journal of Information technology (Singapore) 2025年 1-16页

作者： Singh, Jaskaran Sanga, Prabhav Khanna, Narendra N. Laird, John R. Singh, Inder M. Kalra, Mannudeep K. Mantella, Laura E. Johri, Amer M. Faa, Gavino Tiwari, Ekta Singh, Rajesh Abbas, Mohamed Saba, Luca Suri, Jasjit S. Stroke Monitoring and Diagnostic Division AtheroPoint™ Roseville 95661 CA United States Bharati Vidyapeeth’s College of Engineering New Delhi India Department of Cardiology Indraprastha APOLLO Hospitals New Delhi 110001 India Department of Neurology and Stroke Program University of Maryland School of Medicine Baltimore United States Department of Radiology Harvard Medical School Boston 02115 MA United States Department of Biomedical and Molecular Sciences Queen’s University Kingston ON Canada Division of Cardiology Department of Medicine Queen’s University Kingston ON Canada Department of Pathology University of Cagliari Cagliari Italy Department of Computer Science Visvesvaraya National Institute of Technology (VNIT) Nagpur 440010 India Department of Research and Innovation Uttaranchal Institute of Technology Uttaranchal University Dehradun 248007 India Central Labs King Khalid University P.O. Box 960 AlQura’a Abha Saudi Arabia Electrical Engineering Department College of Engineering King Khalid University Abha 61421 Saudi Arabia Department of Neurology University of Cagliari Cagliari Italy Department of ECE Idaho State University Pocatello 83209 ID United States Department of CE Graphic Era Deemed to Be University Dehradun 248002 India University Center for Research and Development Chandigarh University Mohali India Symbiosis Institute of Technology Symbiosis International (Deemed University) Nagpur Campus Pune India Department of Innovation Global Biomedical Technologies Inc. Roseville 95661 CA United States

The rising prevalence of depression presents a significant global health challenge, underscoring the need for effective early detection through sentiment analysis. Traditional multimodal sentiment analysis methods, which rely on Euclidean space for data representation, often fail to capture the complex hierarchical relationships and non-linear structures inherent in multimodal data. To address this limitation, we propose a novel multimodal architecture that operates in hyperbolic space and incorporates attention-based ensemble learning to enhance feature representation and model performance. We developed and evaluated ten AI models—five utilizing Euclidean space and five leveraging hyperbolic space—on the Spoken Language Understanding Evaluation (SLUE) benchmark dataset. The models were assessed using cross-validation techniques to ensure robustness, and statistical analyses were conducted to validate the findings. Our results indicate that hyperbolic-based multimodal models achieve a 2.32% improvement in accuracy compared to their Euclidean counterparts, while the integration of self-attention mechanisms further contributes an average accuracy gain of 0.96%. Additionally, we observed a 3.76% decline in performance when reducing the training-to-test data ratio from 90:10 to 50:50, highlighting the importance of data distribution in model training. These findings confirm that attention-enhanced multimodal models in hyperbolic space offer superior representations for sentiment analysis. © Bharati Vidyapeeth's Institute of computer Applications and Management 2025.

关键词： Attention-enabled Deep learning Euclidean space Hyperbolic space Multimodal Sentiment analysis

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Topological Surface State Evolution in Bi2Se3 via Surface Etching

arXiv

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arXiv 2024年

作者： Yue, Ziqin Huang, Jianwei Wang, Ruohan Li, Jia-Wan Rong, Hongtao Guo, Yucheng Wu, Han Zhang, Yichen Kono, Junichiro Zhou, Xingjiang Hou, Yusheng Wu, Ruqian Yi, Ming Department of Physics and Astronomy Rice University HoustonTX77005 United States Applied Physics Graduate Program Smalley-Curl Institute Rice University HoustonTX77005 United States Guangdong Provincial Key Laboratory of Magnetoelectric Physics and Devices Center for Neutron Science and Technology School of Physics Sun Yat-Sen University Guangzhou510275 China Institute of Physics Chinese Academy of Sciences Beijing100190 China Department of Electrical and Computer Engineering Rice University HoustonTX77005 United States Department of Materials Science and NanoEngineering Rice University HoustonTX77005 United States Department of Physics and Astronomy University of California Irvine IrvineCA92697 United States

Topological insulators are materials with an insulating bulk interior while maintaining gapless boundary states against back scattering. Bi2Se3 is a prototypical topological insulator with a Dirac-cone surface state around Γ. Here, we present a controlled methodology to gradually remove Se atoms from the surface Se-Bi-Se-Bi-Se quintuple layers, eventually forming bilayer-Bi on top of the quintuple bulk. Our method allows us to track the topological surface state and confirm its robustness throughout the surface modification. Importantly, we report a relocation of the topological Dirac cone in both real space and momentum space, as the top surface layer transitions from quintuple Se-Bi-Se-Bi-Se to bilayer-Bi. Additionally, charge transfer among different surface layers is identified. Our study provides a precise method to manipulate surface configurations, allowing for the fine-tuning of the topological surface states in Bi2Se3, which represents a significant advancement towards nano-engineering of topological states. Copyright © 2024, The Authors. All rights reserved.

关键词： Topological insulators

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Bio-inspired Butterfly-shaped Patch Antenna Array for 2.4 GHz WLAN Applications

Bio-inspired Butterfly-shaped Patch Antenna Array for 2.4 GH...

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Antennas and Propagation Society International Symposium

作者： M. A. Oliveira S. M. A. Morais J. I. L. Araujo G. K. F. Serres A. J. R. Serres P. F. Silva P. H. F. Silva A. G. D'Assunção Graduation Program in Electrical Engineering Federal University of Campina Grande Campina Grande Brazil Graduation Program in Computer Engineering and Systems State University of Maranhão São Luís Brazil Graduation Program in Electrical Engineering Federal Institute of Education Science and Technology of Paraíba João Pessoa Brazil Federal University of Rio Grande do Norte Natal Brazil

ISBN: (数字)9781728166704

ISBN: (纸本)9781728166711

The design of a bio-inspired butterfly-shaped patch antenna array, generated by polar transformations, covering the wireless local area network (WLAN) band at 2.4 GHz (2.400-2.483 GHz), with similar and dissimilar elements is presented in this paper. The dissimilar bio-inspired antenna presented a bandwidth of 96MHz covering the IEEE802.11b, g band, maximum gain of 8.64dBi, concentrated half power beamwidth of 52 degrees and front-to-back ratio of 15.21dB.

关键词： Wireless LAN Protocols Shape Patch antennas Meetings Bandwidth Antenna arrays

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Ultrafast circuit protection for unmanned systems

Ultrafast circuit protection for unmanned systems

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2019 International Conference on Communications, Information System, and computer engineering, CISCE 2019

作者： Kao, Chih-Hong Huang, Sy-Ruen He, Bo-Rong Lin, Hsiung-Cheng School of Computer Science Minnan Normal University Lab of Granular Computing ZhangZhou Fujjan China Department of Electrical Engineering Feng Chia University Taichung Taiwan Ph.D. Program of Electrical and Communications Engineering Feng Chia University Taichung Taiwan Department of Electrical Engineering Chin-Yi University of Technology Taichung Taiwan

ISBN: (纸本)9781728136813

With increasing dependence on precision electronic equipment, self-protection is becoming essential. The protection circuits commonly used before were fuses and circuit breakers which, however, they are not enough for the current need of high-speed protection circuits and automated engineering logic. In this paper, we develop a new ultrahigh-speed protection circuit, which is over exceeded 20 times faster than traditional circuits and has the ability to self-recover when any failure occurs. With the new circuit developed, it is not necessary to do manual restart and will meet the future needs of protection for electronic precision equipment. This design provides greater convenience and reliability for the unmanned equipment for the future. © 2019 IEEE.

关键词： Timing circuits

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Reply to “Comment on ‘Scattering Cancellation-Based Cloaking for the Maxwell-Cattaneo Heat Waves’”

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Physical Review Applied 2021年第5期15卷 058002-058002页

作者： M. Farhat S. Guenneau P.-Y. Chen A. Alù K.N. Salama Computer Electrical and Mathematical Science and Engineering (CEMSE) Division King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia UMI 2004 Abraham de Moivre-CNRS Imperial College London London SW7 2AZ United Kingdom Department of Electrical and Computer Engineering University of Illinois at Chicago Chicago Illinois 60607 USA Photonics Initiative Advanced Science Research Center City University of New York New York New York 10031 USA Physics Program Graduate Center City University of New York New York New York 10016 USA

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Energy Efficiency Project with Actions to Encourage the Rational and Sustainable Use of Electric Energy 19

Energy Efficiency Project with Actions to Encourage the Rati...

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19th IEEE International Conference on Environment and electrical engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019

作者： Lemos, G.C. Faria, A.F. Viajante, G.P. Domingues, E.G. Domingos, J.L. Silva, S.B. Souto, O.C.N. Velloso, E.J.F. Franca, J.L. Graduate Program in Sustainable Process Technology IFG Goiânia-GO Brazil Graduate Program in Electrical and Computer Eng. UFG Goiânia-GO Brazil Graduate Program in Sustainable Process Technology IFG Itumbiara-GO Brazil Anima Projects Engineering Commerce Goiânia-GO Brazil

ISBN: (纸本)9781728106526

This work is the critical analysis of an Energy Efficiency Project (EEP) developed in an educational institution. The case-study is based on several fronts that synthesize the perspective of sustainability in a Solar Tree, an equipment to compose the landscape furniture with the capacity to generate electricity from a renewable source, symbolizing the project and acting as motivating agent in maintenance, and also contributing to the design of new actions with this bias. In the other fronts, the work includes the quantification of the level of energy efficiency of a building, besides promoting the retrofit of the lighting system and the installation of a photovoltaic generation system, all focusing on the rational use of electric energy, whose results show that the energy saved and the reduction in the peak of demand, as well as the installation of the photovoltaic plant, will bring the installation closer to the concept of energy selfsufficiency. © 2019 IEEE.

关键词： Sustainable development

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Optical Thouless pumping transport and nonlinear switching in a topological low-dimensional discrete nematic liquid crystal array

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Physical Review A 2022年第1期105卷 013513-013513页

作者： Pawel S. Jung Midya Parto Georgios G. Pyrialakos Hadiseh Nasari Katarzyna Rutkowska Marek Trippenbach Mercedeh Khajavikhan Wieslaw Krolikowski Demetrios N. Christodoulides CREOL The College of Optics and Photonics University of Central Florida Orlando Florida 32816 USA Faculty of Physics Warsaw University of Technology Warsaw Poland Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los Angeles California 90089 USA Faculty of Physics University of Warsaw Warsaw Poland Department of Physics & Astronomy Dornsife College of Letters Arts & Sciences University of Southern California Los Angeles California 90089 USA Laser Physics Centre Research School of Physics Australian National University Canberra ACT 0200 Australia Science Program Texas A&M University at Qatar Doha Qatar

We theoretically investigate a Thouless pumping scheme in the one-dimensional topological Su-Schrieffer-Heeger (SSH) model for single and multiple band-gap systems when implemented in a discrete nematic liquid crystal arrangement. For an electrically controlled SSH waveguide array, we numerically demonstrate edge-to-edge light transport at low power levels. On the other hand, at higher powers, the transport is frustrated by light-induced nonlinear defect states, giving rise to robust all-optical switching.

关键词： Optical solitons Topological insulators Liquid crystals Topological materials

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