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IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)

作者： Chin-Chih Chang Chi-Hung Wei Chen-Sheng Chen Jian-An Chen Shih-Hsien Yeh Sean Hsiao Department of Computer Science and Information Engineering Chung Hua University Hsinchu Taiwan Ph.D. Program in Engineering Science Chung Hua University Hsinchu Taiwan Department of Computer Science and Information Engineering Chang Gung University Taoyuan Taiwan Bachelor Program in Applied Foreign Language and Smart Commerce Chung Hua University Hsinchu Taiwan

In this article, we present an innovative approach to enhance the online shoe shopping experience. The convolutional neural network (CNN) image recognition technology was used to enhance shoe classification and recommendations. By training the CNN model on an extensive dataset, unique shoe features and styles were learned. Integrated into a user-friendly online platform, the system offers real-time image recognition, allowing users to snap a photo of a desired shoe for instant identification, including brand, price, and availability details. Moreover, the CNN-based recommendation engine provides personalized suggestions based on style, color, and customer preferences, enriching the shopping experience. Evaluation results confirmed the system's feasibility, and user feedback highlighted its effectiveness in simplifying the shopping process and enhancing satisfaction. This innovative system presents a significant leap in merging AI and e-commerce and shows the potential of image recognition to transform online marketplaces, benefiting consumers, offering valuable insights for retailers, and ultimately reshaping the future of online shoe shopping.

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Low-loss, nonvolatile tuning of Bragg structures with Sb2Se3

Low-loss, nonvolatile tuning of Bragg structures with Sb2Se3

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Nobile, Nicholas A. Lian, Chuanyu Sun, Hongyi Huang, Yi-Siou Mills, Brian Popescu, Cosmin Constantin Callahan, Dennis Hu, Juejun Ríos Ocampo, Carlos A. Youngblood, Nathan Electrical & Computer Engineering Department University of Pittsburgh PittsburghPA15213 United States Department of Materials Science & Engineering University of Maryland College ParkMD20742 United States Institute for Research in Electronics and Applied Physics University of Maryland College ParkMD20742 United States Department of Materials Science & Engineering Massachusetts Institute of Technology CambridgeMA02139 United States Draper Scholar Program The Charles Stark Draper Laboratory Inc CambridgeMA02139 United States The Charles Stark Draper Laboratory Inc CambridgeMA02139 United States

Sb2Se3 is used to switch between broadband transparency and enhanced index contrast in two device types leveraging Bragg gratings for tunable stop- and pass-band functionalities. Experimental results highlight fabrica... 详细信息

ISBN: (纸本)9781957171395

关键词： Fabry-Perot interferometers

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Analytical Validation of a Webcam-Based Assessment of Speech Kinematics: Digital Biomarker Evaluation following the V3 Framework

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Digital Biomarkers 2023年第1期7卷 7-17页

作者： Simmatis, Leif Alavi Naeini, Saeid Jafari, Deniz Xie, Michael Kai Yue Tanchip, Chelsea Taati, Niyousha McKinlay, Scotia Sran, Rupinder Truong, Justin Guarin, Diego L Taati, Babak Yunusova, Yana University Health Network Toronto Rehabilitation Institute TorontoON Canada Department of Speech-Language Pathology Rehabilitation Sciences Institute Temerty Faculty of Medicine University of Toronto TorontoON Canada Hurvitz Brain Sciences Program Sunnybrook Research Institute TorontoON Canada Department of Computer Science University of Toronto TorontoON Canada Clinical Integrative Biology Sunnybrook Research Institute TorontoON Canada Department of Applied Physiology and Kinesiology University of Florida GainesvilleFL United States

Introduction: Kinematic analyses have recently revealed a strong potential to contribute to the assessment of neurological diseases. However, the validation of home-based kinematic assessments using consumer-grade video technology has yet to be performed. In line with best practices for digital biomarker development, we sought to validate webcam-based kinematic assessment against established, laboratory-based recording gold standards. We hypothesized that webcam-based kinematics would possess psychometric properties comparable to those obtained using the laboratory-based gold standards. Methods: We collected data from 21 healthy participants who repeated the phrase "buy Bobby a puppy"(BBP) at four different combinations of speaking rate and volume: Slow, Normal, Loud, and Fast. We recorded these samples twice back-to-back, simultaneously using (1) an electromagnetic articulography ("EMA";NDI Wave) system, (2) a 3D camera (Intel RealSense), and (3) a 2D webcam for video recording via an in-house developed app. We focused on the extraction of kinematic features in this study, given their demonstrated value in detecting neurological impairments. We specifically extracted measures of speed/acceleration, range of motion (ROM), variability, and symmetry using the movements of the center of the lower lip during these tasks. Using these kinematic features, we derived measures of (1) agreement between recording methods, (2) test-retest reliability of each method, and (3) the validity of webcam recordings to capture expected changes in kinematics as a result of different speech conditions. Results: Kinematics measured using the webcam demonstrated good agreement with both the RealSense and EMA (ICC-A values often ≥0.70). Test-retest reliability, measured using the absolute agreement (2,1) formulation of the intraclass correlation coefficient (i.e., ICC-A), was often "moderate"to "strong"(i.e., ≥0.70) and similar between the webcam and EMA-based kinematic features. Finally, th

关键词： Kinematics

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Thermal Hall effect in insulating quantum materials

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The Innovation 2022年第5期3卷 3-4页

作者： Shucheng Guo Youming Xu Ran Cheng Jianshi Zhou Xi Chen Department of Electrical and Computer Engineering University of CaliforniaRiversideRiversideCA 92521USA Department of Physics and Astronomy University of CaliforniaRiversideRiversideCA 92521USA Materials Science and Engineering Program Department of Mechanical EngineeringUniversity of Texas at AustinAustinTX 78712USA

The emerging field of quantum materials involves an exciting new class of materials in which charge,spin,orbital,and lattice degrees of freedom are intertwined,exhibiting a plethora of exotic physical *** materials include,but are not limited to,superconductors,topological quantum matter,and systems with frustrated spins,which enable a wide range of potential applications in biomedicine,energy transport and conversion,quantum sensing,and quantum information processing。

关键词： properties. quantum topological

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Near field optical sensing of single cell activity with integrated micro-ring resonators

Near field optical sensing of single cell activity with inte...

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Optics and the Brain, BRAIN 2021 - Part of Biophotonics Congress: Optics in the Life sciences 2021

作者： Zhao, Xuan Fan, Bo Hassan, Sakib Veeraraghavan, Ashok Robinson, Jacob T. Applied Physics Program Rice University HoustonTX77005 United States Department of Electrical and Computer Engineering Rice University HoustonTX77005 United States

We propose a biohybrid sensor based on optical measurements of transmembrane proteins using micro-ring resonators. The scalability and sensitivity of this geometry could enable optical recording of many individual cel... 详细信息

ISBN: (纸本)9781557528209

关键词： Optical data processing

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Cross-system biological image quality enhancement based on the generative adversarial network as a foundation for establishing a multi-institute microscopy cooperative network

arXiv

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arXiv 2024年

作者： Panek, Dominik Rząca, Carina Szczypior, Maksymilian Sorysz, Joanna Misztal, Krzysztof Baster, Zbigniew Rajfur, Zenon Doctoral School of Exact and Natural Sciences Jagiellonian University ul. Lojasiewicza 11 Kraków30-348 Poland Department of Molecular and Interfacial Biophysics Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University ul. Lojasiewicza 11 Kraków30‑348 Poland Undergraduate Program in Biophysics Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University ul. Lojasiewicza 11 Kraków30‑348 Poland Undergraduate program in Biomedical Engineering Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering AGH University of Science and Technology Al. A. Mickiewicza 30 Building B-1 Kraków30-059 Poland Division of Computational Mathematics Faculty of Mathematics and Computer Science Jagiellonian University 6 Lojasiewicza St. Kraków Poland

High-quality fluorescence imaging of biological systems is limited by processes like photobleaching and phototoxicity, and also in many cases, by limited access to the latest generations of microscopes. Moreover, low temporal resolution can lead to a motion blur effect in living systems. Our work presents a deep learning (DL) generative-adversarial approach to the problem of obtaining high-quality (HQ) images based on their low-quality (LQ) equivalents. We propose a generative-adversarial network (GAN) for contrast transfer between two different separate microscopy systems: a confocal microscope (producing HQ images) and a wide-field fluorescence microscope (producing LQ images). Our model proves that such transfer is possible, allowing us to receive HQ-generated images characterized by low mean squared error (MSE) values, high structural similarity index (SSIM), and high peak signal-to-noise ratio (PSNR) values. For our best model in the case of comparing HQ-generated images and HQ-ground truth images, the median values of the metrics are 6·10-4, 0.9413, and 31.87, for MSE, SSIM, and PSNR, respectively. In contrast, in the case of comparison between LQ and HQ ground truth median values of the metrics are equal to 0.0071, 0.8304, and 21.48 for MSE, SSIM, and PSNR respectively. Therefore, we observe a significant increase ranging from 14% to 49% for SSIM and PSNR respectively. These results, together with other single-system cross-modality studies, provide proof of concept for further implementation of a cross-system biological image quality enhancement. © 2024, CC BY-SA.

关键词： Fluorescence imaging

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Implantable integrated photonic probe for light sheet brain imaging in vivo

Implantable integrated photonic probe for light sheet brain ...

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Optics and the Brain, BRAIN 2021 - Part of Biophotonics Congress: Optics in the Life sciences 2021

作者： Lin, Nathan C. Zhao, Xuan Hassan, Sakib Raghuram, Ankit Veeraraghavan, Ashok Robinson, Jacob T. Department of Electrical and Computer Engineering Rice University HoustonTX77005 United States Applied Physics Program Rice University HoustonTX77005 United States

We present implantable silicon photonic probes for selective plane illumination imaging in vivo. The small form factor of the probes minimizes tissue displacement and heat dissipation while providing planar illuminati... 详细信息

ISBN: (纸本)9781557528209

关键词： Probes

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In vivo Detection of NO using Photonic Microring Resonators

In vivo Detection of NO using Photonic Microring Resonators

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CLEO: science and Innovations, S and I 2022

作者： Hassan, Sakib Zhao, Xuan Schreib, Christian C. Duret, Guillaume Veiseh, Omid Robinson, Jacob T. Electrical & Computer Engineering Rice University HoustonTX77005 United States Applied Physics Graduate Program Smalley-Curl Institute Rice University HoustonTX77005 United States Department of Bioengineering Rice University HoustonTX77005 United States

Here we show how photonic microring resonators enable real-time detection of Nitric Oxide (NO) in vivo, which is critical for physiological monitoring particularly during the wound healing process. © Optica Publi... 详细信息

ISBN: (纸本)9781557528209

关键词： Nitric oxide

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An Ontological Analysis of Justice 16

An Ontological Analysis of Justice

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16th International Workshop on Value Modelling and Business Ontologies, VMBO 2022

作者： Johannesson, Paul Zhemchugova, Helena Hanger-Kopp, Susanne Department of Computer and Systems Sciences Stockholm University Borgarfjordsgatan 12 Kista Sweden Population and Just Societies Program International Institute for Applied Systems Analysis Laxenburg Austria Department for Environmental Systems Science ETH Zürich Zürich Switzerland

IT systems design and architecture have many similarities with the design of organisations and institutions. Both pay attention to social concepts such as rules, norms, and values. Justice is one of the key concepts that can be relevant for any institutional design from a systems perspective. This paper outlines an ontology of justice based on the Unified Foundational Ontology (UFO). We envisage that it can support designers in recognising and addressing the issues of justice during systems design and analysis, including elicitation of requirements, rules analysis, systems evaluation, and policy analysis. © 2022 Copyright for this paper by its authors.

关键词： Systems analysis

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Building Awareness of Computational Thinking Pathways across a Large School District 2024

Building Awareness of Computational Thinking Pathways across...

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55th ACM Technical Symposium on computer science Education, SIGCSE 2024

作者： Rangel, Alessandra Coenraad, Merijke Ruiz, Pati Dunbar, Kyle Milenkovic, Lisa Arriola, Sheryl Marousky, Annmargareth Learning Experience Design Digital Promise Global Redwood CityCA United States Learning Experience Design Digital Promise Global WashingtonDC United States Learning Sciences Research Digital Promise Global Redwood CityCA United States Applied Learning Department Stem and Computer Science Program Broward County Public Schools Fort LauderdaleFL United States

ISBN: (纸本)9798400704246

As states move to adopt computer science (CS) and computational thinking (CT) standards to prepare students for an increasingly technological world, school districts are integrating curriculum with CT skills and practices, building the capacity of their teachers and administrators through professional development, and increasing the knowledge infrastructure to support CT opportunities for students. One challenge that districts face when scaling new initiatives occurs when the work becomes siloed to one "champion"teacher or a singular motivated department. This poster presents Broward County Public Schools' use of an interactive infographic to build awareness of their CT initiative, including considerations for utilizing an infographic tool and the design decisions made to engage various stakeholders. The poster provides examples of methods to build knowledge of an emerging initiative and adds to the growing body of work in supporting districts as they scale their CS/CT initiatives. © 2024 Owner/Author.

关键词： Students

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