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2024 Frontiers in Optics, FiO 2024

作者： Gül, Gamze On, Mehmet Berkay Tan, Shannon G. Proietti, Roberto Kanter, Gregory S. Yoo, S.J. Ben Kumar, Prem Graduate Program in Applied Physics Northwestern University 2145 Sheridan Road EvanstonIL60208 United States Department of Electrical and Computer Engineering University of California Davis DavisCA95616 United States Center for Photonic Communication and Computing Dept. of Electrical and Computer Eng. Northwestern University EvanstonIL60208 United States Department of Electronics and Telecommunications Engineering Politecnico di Torino Italy

We study the impact in time and frequency domains of classical headers on quantum payloads in quantum wrapper networking. We identify and characterize in-fiber scattering processes that produce noise photons degrading...

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Trends, Opportunities, and Challenges in Detecting Depressive Disorders Through Mobile Devices: A Review 2

Trends, Opportunities, and Challenges in Detecting Depressiv...

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2nd International Conference on computer System, Information Technology, and electrical engineering, COSITE 2023

作者： Elwirehardja, Gregorius Natanael Isnan, Mahmud Perbangsa, Anzaludin Samsinga Muchtar, Kahlil Pardamean, Bens Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Mahmud Isnan Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Information System Department School of Information Systems Bina Nusantara University Jakarta11480 Indonesia Department of Electrical and Computer Engineering Universitas Syiah Kuala Banda Aceh23111 Indonesia Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9798350343069

Depressive Disorders (DD) is one of the most prevalent mental disorders in the world that may lead to suicide cases. To prevent the latter, ubiquitous early detection systems may be effective. Recent studies have since researched the development of such systems by exploiting several forms of data, including video, audio, Ecological Momentary Assessments (EMA), and passive sensing data using sensors embedded in mobile devices. To summarize the trends, opportunities, and existing challenges in this field, this study reviewed 15 papers to answer four research questions. EMA was the most popular data to be used in this task, but other approaches, such as using video, audio, and typing behaviors, may be considered due to the subjectivity of EMA. These data were typically recorded using smartphones and analyzed using Machine Learning (ML). However, most of the developed systems had yet to be implemented. Overall, it was concluded that further studies may need to explore usages of more objective data in multimodal approaches as well as consider using Mobile Cloud Computing (MCC) to deploy these systems to provide more effective and efficient diagnoses. Future studies must also take into account the existing challenges of the data and infrastructures, such as the weaknesses of several data types, limitations of mobile devices, as well as the challenges of diagnosis approaches. © 2023 IEEE.

关键词： Machine learning

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General Type-2 Fuzzy Inference Systems: Analysis, Design and Computational Aspects

General Type-2 Fuzzy Inference Systems: Analysis, Design and...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Luis Alberto Lucas Tania Mezzadri Centeno Myriam Regattieri Delgado Graduate School of Electrical Engineering and Applied Computer Science Federal University of Technology of Paraná (UTFPR) Curitiba Pernambuco Brazil

The aim of this work is to handle non-interval type-2 fuzzy logic systems (NIT2 FLS) in a simple manner. We retrieve an alternative representation of Type-2 fuzzy sets (T2 FS) that we call general footprint of uncertainty. Such representation, not only lets us easily visualize T2 FS in two-dimensions but also makes the understanding of basic operations and the inference procedure easier. We introduce the concept of supremum of a T2 FS and translation and cylindric extension for vertical slices to support the adopted inference mechanism, based on the scaled inference mechanism of Type-1 FIS. Finally, we propose a new defuzzification method, the vertical slice centroid type reduction, which requires low computational effort. Some calculations are presented to illustrate that the theory and simplifications proposed in this paper make NIT2 FLS, referred here as general type-2 fuzzy inference systems, much more accessible to FIS designers.

关键词： Fuzzy systems Fuzzy sets Fuzzy logic Uncertainty Inference mechanisms Equations Fuzzy set theory Visualization computer science Plasma welding

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A high-order log barrier-based mesh generation and warping method

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Procedia engineering 2017年 203卷 180-192页

作者： Mike Stees Suzanne M. Shontz Department of Electrical Engineering and Computer Science Information and Telecommunication Technology Center The University of Kansas Lawrence KS 66045 USA Department of Electrical Engineering and Computer Science Bioengineering Graduate Program Information and Telecommunication Technology Center The University of Kansas Lawrence KS 66045 USA

The ability to generate high-order meshes that conform to the boundary of curved geometries is a hurdle in the adoption of high-order computational methods for the numerical solution of partial differential equations. In this paper, we propose a method for generating and warping second-order Lagrange triangular and tetrahedral meshes based on a log barrier method. In the case of generation, the approach consists of modifying an initial linear mesh by first, adding nodes at the midpoint of each edge; second, displacing the newly added boundary midpoints to the curved boundary, and third, solving for the final positions of the interior nodes based on the boundary deformation. By allowing all of the boundary nodes to move, the approach can also be used to warp second-order triangular and tetrahedral meshes. We present several numerical examples in both two and three dimensions which demonstrate the capabilities of our method in generating and warping second-order curvilinear meshes.

关键词： high-order mesh generation curvilinear high-order mesh high-order mesh warping numerical optimization

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Correcting refractive dilution of precision in wireless network geolocation estimates

Correcting refractive dilution of precision in wireless netw...

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International Conference on Signal Processing and Communication Systems, ICSPCS

作者： J. Q. McClintic M. Tummala J. McEachen Department of Electrical and Computer Engineering Graduate School of Engingeering and Applied Science Naval Postgraduate School Monterey CA USA

ISBN: (纸本)9781467323925

Obtaining precise geolocation estimates for mobile devices requires knowledge of the local propagation velocity of light. Under common atmospheric conditions, incorrect propagation velocity estimates introduce systemic dilution of precision using time difference of arrival techniques. Modeling local propagation velocity as a function of common local meteorological variables yields corrected velocity estimates directly applicable to existing algorithms. In a simulated wireless network, matching the refractivity assumed in computing estimated positions to the simulated environmental refractivity shows some evidence that gains in accuracy and precision are achievable.

关键词： conditions positions propagation propagation velocity Precision Wireless networks propagation Propagation Refractivity Geographical Locations Time difference of arrival Dilution Technique Mobile devices

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Comparative analysis of deep learning models for detecting face mask 7

Comparative analysis of deep learning models for detecting f...

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7th International Conference on computer science and Computational Intelligence, CSCI 2022

作者： Ramadhan, M. Vickya Muchtar, Kahlil Nurdin, Yudha Oktiana, Maulisa Fitria, Maya Maulina, Novi Elwirehardja, Gregorius Natanael Pardamean, Bens Department of Electrical and Computer Engineering Universitas Syiah Kuala Banda Aceh23111 Indonesia Universitas Syiah Kuala Banda Aceh23111 Indonesia Microbiology Department School of Medicine Universitas Syiah Kuala Banda Aceh23111 Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta 11480 Indonesia Computer Science Department BINUS Graduate Program-Master of Computer Science Program Bina Nusantara University Jakarta 11480 Indonesia

The spread of Corona Virus Disease 19 (COVID-19) in Indonesia is still relatively high and has not shown a significant decrease. One of the main reasons is due to the lack of supervision on the implementation of health protocols such as wearing masks in daily activities. Recently, state-of-The-Art algorithms were introduced to automate face mask detection. To be more specific, the researchers developed various kinds of architectures for the detection of masks based on computer vision methods. This paper aims to evaluate well-known architectures, namely the ResNet50, VGG11, InceptionV3, EfficientNetB4, and YOLO (You Only Look Once) to recommend the best approach in this specific field. By using the MaskedFace-Net dataset, the experimental results showed that the EfficientNetB4 architecture has better accuracy at 95.77% compared to the YOLOv4 architecture of 93.40%, InceptionV3 of 87.30%, YOLOv3 of 86.35%, ResNet50 of 84.41%, VGG11 of 84.38%, and YOLOv2 of 78.75%, respectively. It should be noted that particularly for YOLO, the model was trained using a collection of MaskedFace-Net images that had been pre-processed and labelled for the task. The model was initially able to train faster with pre-Trained weights from the COCO dataset thanks to transfer learning, resulting in a robust set of features expected for face mask detection and classification. © 2022 Elsevier B.V.. All rights reserved.

关键词： Face recognition

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Analysis of the resonant behavior of FSS using matryoshka geometry

Analysis of the resonant behavior of FSS using matryoshka ge...

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SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference, IMOC 2015

作者： Neto, Alfrêdo Gomes E Silva, Jefferson C. De Carvalho, Joabson Nogueira Cruz, Josiel Do Nascimento Ferreira, Hillner De Paiva Almeida Group of Telecom. and Applied Electromagnetism Federal Inst. of Educ. Science and Technology of Paraíba GTEMA IFPB João PessoaPB Brazil Post-Graduate Program in Electrical Engineering Federal University of Campina Grande Campina Grande Brazil

ISBN: (纸本)9781467394925

In this paper the resonant behavior of frequency selective surfaces, FSS, using matryoshka geometry is analyzed considering polarizations x and y. The basics of the FSS using matryoshka geometry are described for usual and open cases, including an expression to estimate the first resonant frequency. Initially, the FSS with two concentric square rings is considered and its resonant behavior analyzed. Then, the resonant behavior of FSS with two rings matryoshka geometry is examined. The analysis is based on the electric current distribution obtained using the commercial software ANSYS-Designer. With a better understanding of the resonance nature in matryoshka geometry the design parameters can be better adjusted and desired frequency responses properly achieved. © 2015 IEEE.

关键词： Geometry

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Submicron Memtransistors Made from Monocrystalline Molybdenum Disulfide

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ACS Nano 2024年第9期18卷 6936-6945页

作者： Yang, Shu-Ting Yang, Tilo H. Liang, Bor-Wei Lo, Han-Chieh Chang, Wen-Hao Lin, Po-Yen Su, Ching-Yuan Lan, Yann-Wen Graduate Institute of Photonics and Optoelectronics National Taiwan University Taipei116 Taiwan Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States Taiwan Semiconductor Research Institute National Applied Research Laboratories Hsinchu300091 Taiwan Department of Physics National Taiwan Normal University Taipei116 Taiwan Institute of Cellular and Organismic Biology Academia Sinica Taipei115 Taiwan Graduate Institute of Energy Engineering National Central University Taoyuan320317 Taiwan

Multiterminal memtransistors made from two-dimensional (2D) materials have garnered increasing attention in the pursuit of low-power heterosynaptic neuromorphic circuits. However, existing 2D memtransistors tend to necessitate high set voltages (>1 V) or feature defective channels, posing concerns regarding material integrity and intrinsic properties. Herein, we present a monocrystalline monolayer MoS2 memtransistor designed for operation within submicron regimes. Under reverse drain bias sweeps, our experiments reveal memristive behavior within the device, further controllable through modulation of the gate terminal. This controllability facilitates the consistent manifestation of multistate memory effects. Notably, the memtransistor behavior becomes more significant as the channel length diminishes, particularly with channel lengths below 1.6 μm, showcasing an increase in the switching ratio alongside a decrease in the set voltage with the decreasing channel length. Our optimized memtransistor demonstrates the ability to exhibit individual resistance states spanning 5 orders of magnitude, with switching drain voltages of approximately 0.05 V. To elucidate these findings, we investigate hot carrier effects and their interplay with oxide traps within the HfO2 dielectric. This work highlights the importance of memtransisor behavior in highly scaled 2D transistors, particularly those featuring low contact resistances. This understanding holds the potential to tailor memory characteristics essential for the development of energy-efficient neuromorphic devices. © 2024 American Chemical Society.

关键词： Molybdenum disulfide

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Enhanced Light-Matter Interactions for a Single T Center in a Silicon Nanocavity

Enhanced Light-Matter Interactions for a Single T Center in ...

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

作者： Wong, Yu-En Johnston, Adam Felix-Rendon, Ulises Chen, Songtao Department of Electrical and Computer Engineering Rice University HoustonTX77005 United States Applied Physics Graduate Program Smalley-Curl Institute Rice University HoustonTX77005 United States Smalley-Curl Institute Rice University HoustonTX77005 United States

We investigate light-matter interactions for a single T center coupled to a silicon photonic crystal cavity. By solving Lindblad master equation, we extract the cavity-QED parameters for the coupled system. © Opt... 详细信息

ISBN: (纸本)9781957171395

关键词： Silicon photonics

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A 3D GAN Architecture for Volumetric Synthetic Aperture Sonar

A 3D GAN Architecture for Volumetric Synthetic Aperture Sona...

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OCEANS

作者： Greg D. Vetaw Albert Reed Daniel C. Brown Suren Jayasuriya School of Electrical Computer and Energy Engineering Arizona State University The Applied Research Laboratory Graduate Program in Acoustics Pennsylvania State University

ISBN: (纸本)9781665427883

Synthetic aperture sonar (SAS) is used extensively in underwater imaging for visualizing the seafloor and objects present on it. However, processing SAS images can be time-consuming and tedious, with machine learning techniques being ineffective due to the lack of available data. In particular, automated target recognition (ATR) with 3D SAS data for machine learning is challenging in many ways due to the complexity with working with 3D volumetric data. Recently, researchers have introduced generative adversarial networks (GANs) to help perform 2D SAS image generation for data augmentation. Following this line of work in this paper, we introduce a 3D-GAN architecture to generate photorealistic 3D SAS data which matches the fidelity of real data. In particular, we discuss novel latent space sampling and normalization to help 3D GANs overcome mode collapse for generating volumetric SAS information. Experimental results are shown on real 3D SAS data, showing the potential of using 3D GANs for dataset augmentation in the future.

关键词： Three-dimensional displays Target recognition Image synthesis Sea floor Imaging Data visualization Machine learning

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