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Conventional/Phase Shift Dual Drive Mach-Zehnder Modulation Measured Type Based Radio over Fiber Systems

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Journal of Optical Communications 2024年第s1期45卷 s123-s131页

作者： Amiri, I.S. Rashed, Ahmed Nabih Zaki Rahman, Ziaur Paul, Bikash Kumar Ahmed, Kawsar Computational Optics Research Group Advanced Institute of Materials Science Ton Duc Thang University Ho Chi Minh City Viet Nam Faculty of Applied Sciences Ton Duc Thang University Ho Chi Minh City Viet Nam Electronics and Electrical Communications Engineering Department Faculty of Electronic Engineering Menoufia University Menouf32951 Egypt School of Computer Science and Software Engineering RMIT University 414-418 Swanston Street MelbourneVIC3000 Australia Department of Information and Communication Technology Mawlana Bhashani Science and Technology University Santosh Tangail1902 Bangladesh Group of Bio-photomatiχ Mawlana Bhashani Science and Technology University Santosh Tangail1902 Bangladesh Department of Software Engineering Daffodil International University Sukrabad Dhanmondi Dhaka1207 Bangladesh

This work clarified the conventional/phase shift dual Mach-Zehnder modulation measured technique for upgrading radio over fiber (ROF) systems. Four levels of pulse amplitude modulation and non-return to zero code scheme are employed in different previous studies for upgrading ROF systems. The possible transmission distance is extended to 150 km and a bit rate of 40 Gb/s for achieved acceptable max. Q factor of 13.7498 and minimum bit error rates of 1.82×10-43. The total optical received power is measured at fiber cable length for maximum distance. Also, in the same way, the signal power levels are measured after fiber optic cable and avalanche photo detector optical receiver. The proposed model has presented the enhancement percentage ratio of 13.654% over the previous models in signal quality enhancement. © 2020 Walter de Gruyter GmbH, Berlin/Boston.

关键词： Q factor measurement

Adaptive Stochastic Gradient Descent for Fast and Communication-Efficient Distributed Learning

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arXiv 2022年

作者： Hanna, Serge Kas Bitar, Rawad Parag, Parimal Dasari, Venkat El Rouayheb, Salim Institute for Communications Engineering Technical University of Munich Germany Department of Electrical Communication Engineering Indian Institute of Science KA Bengaluru India US Army Research Laboratory Aberdeen Proving Ground MD United States Department of Electrical and Computer Engineering Rutgers University PiscatawayNJ United States

We consider the setting where a master wants to run a distributed stochastic gradient descent (SGD) algorithm on n workers, each having a subset of the data. Distributed SGD may suffer from the effect of stragglers, i.e., slow or unresponsive workers who cause delays. One solution studied in the literature is to wait at each iteration for the responses of the fastest k Copyright © 2022, The Authors. All rights reserved.

关键词： Errors

Compendious review on 3D-printed gels for effluent treatment

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Hybrid Advances

Hybrid Advances 2024年 6卷

作者： Panchapakesan, Apsara Dalave, Priyanka Anil Kandasubramanian, Balasubramanian Ismail, Sikiru O. Additive Manufacturing Laboratory Defence Institute of Advanced Technology (DU) Girinagar Maharashtra Pune 411025 India Department of Metallurgy and Material Science COEP Technological University Pune Pune 411005 India Centre for Engineering Research School of Physics Engineering and Computer Science University of Hertfordshire England Hatfield AL10 9AB United Kingdom

Direct ink writing (DIW) has emerged as an innovative and efficient method for gel synthesis, presenting numerous advantages over conventional techniques. Leveraging a diverse array of raw materials, DIW offers precise control over gel construction, facilitating the fabrication of materials with larger pore sizes. This capability contrasts with traditional methods like ionic gelation, which typically produce a maximum pore size of 130 μm. The increasing demand for materials with exceptional adsorption properties, especially for effluent treatment, has driven extensive research in this domain. While traditional gel preparation methods remain valuable, they exhibit inherent limitations. Thus, there is a pressing need for more efficient and scalable approaches to gel synthesis. DIW serves as a superior alternative, providing enhanced control over printing parameters and enabling the customization of materials to meet specific requirements. This paper not only addresses the limitations of traditional methods but also highlights the benefits of utilizing DIW for gel formulation. Additionally, it offers an overview of commonly employed adsorption isotherm and kinetic models and explores the applications of DIW-printed gels in effluent treatment. Given the expanding body of research in this area, this critical and comprehensive review underscores the potential of DIW in the adsorption of pollutants from wastewater. © 2024 The Authors

关键词： 3D printing Adsorption Direct ink writing Effluent treatment Gels

Implementation of an Intelligent Animal Monitoring System Using Wireless Sensor Network and IoT Platform

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Implementation of an Intelligent Animal Monitoring System Us...

Cyber Resilience (ICCR), International Conference on

作者： Ateeq Ur Rehman Jehangir Arshad Muhammad Tariq Sadiq Abdul Rehman Munir Ahmad Mohammad Kamrul Hasan Hussam Al Hamadi Tauqeer Faiz Department of Electrical Engineering GC University Lahore Pakistan Department of Electrical & Computer Engineering Lahore Campus COMSATS University Islamabad Lahore Pakistan School of Architecture Technology and Engineering University of Brighton Brighton United Kingdome NCBAE School of Computer Science Lahore Pakistan Faculty of Information Science and Technology Center for Cyber Security Universiti Kebansaan Malaysia (UKM) Bangi Selangor Malaysia College of Engineering and IT University of Dubai School of IT Skyline University College Sharjah UAE Faculty of Engineering Computing and Science (FECS) - Swinburne University of Technology Australia

ISBN: (数字)9781665461221

ISBN: (纸本)9781665461238

Meat and dairy products are negatively impacted by a lack of technology in the livestock industry in developing countries. To cater for this challenge, the Internet of Things (IoT), Node-MCU, and intelligent wireless sensor nodes are deployed to create a new smart dairy monitoring system. A cow collar with a temperature sensor, a GPS module, and an environmental parameter regularization system are included. Data from modules is stored in a separate database using an innovative IoT -based front end. All the deployed WS nodes can determine whether the environment is stable or not at any given time. Sensors built inside cow collars can assess vital indications like temperature and pulse rate, as well as the animal's exact location. The design of the Cow collar also has a feature that automatically alerts the owner. The plug-and-play technology offered is designed to be easy to adapt. When a farm has many animals, automation decreases the need for human involvement and so lowers labor expenses. The exploitation of remote monitoring systems improves the health of the animals and hence yields a better amount of dairy. This study also includes a detailed comparison of the proposed implementation with current systems to demonstrate its originality. Other applications, such as smart monitoring of zoo animals and poultry, may be derived from the proposed technology.

关键词： Temperature sensors Wireless communication Temperature measurement Wireless sensor networks Animals Databases Cows

MULTI-HEAD FEATURE PYRAMID NETWORKS FOR BREAST MASS DETECTION

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arXiv 2023年

作者： Zhang, Hexiang Xu, Zhenghua Yao, Dan Zhang, Shuo Chen, Junyang Lukasiewicz, Thomas State Key Laboratory of Reliability and Intelligence of Electrical Equipment School of Health Sciences and Biomedical Engineering Hebei University of Technology China Shenzhen University Shenzhen China Institute of Logic and Computation TU Wien Vienna Austria Department of Computer Science University of Oxford United Kingdom

Analysis of X-ray images is one of the main tools to diagnose breast cancer. The ability to quickly and accurately detect the location of masses from the huge amount of image data is the key to reducing the morbidity and mortality of breast cancer. Currently, the main factor limiting the accuracy of breast mass detection is the unequal focus on the mass boxes, leading the network to focus too much on larger masses at the expense of smaller ones. In the paper, we propose the multi-head feature pyramid module (MHFPN) to solve the problem of unbalanced focus of target boxes during feature map fusion and design a multi-head breast mass detection network (MBMDnet). Experimental studies show that, comparing to the SOTA detection baselines, our method improves by 6.58% (in AP@50) and 5.4% (in TPR@50) on the commonly used INbreast dataset, while about 6-8% improvements (in AP@20) are also observed on the public MIAS and BCS-DBT datasets. Copyright © 2023, The Authors. All rights reserved.

关键词： Feature extraction

Direct Zernike Coefficient Prediction from Point Spread Functions and Extended Images using Deep Learning

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arXiv 2024年

作者： Kok, Yong En Bentley, Alexander Parkes, Andrew Wright, Amanda J. Somekh, Michael G. Pound, Michael School of Computer Science University of Nottingham NottinghamNG8 1BB United Kingdom Optics and Photonics Group Department of Electrical and Electronic Engineering University of Nottingham NottinghamNG7 2RD United Kingdom Research Center for Humanoid Sensing Zhejiang Laboratory Hangzhou3111100 China

Optical imaging quality can be severely degraded by system and sample induced aberrations. Existing adaptive optics systems typically rely on iterative search algorithm to correct for aberrations and improve images. This study demonstrates the application of convolutional neural networks to characterise the optical aberration by directly predicting the Zernike coefficients from two to three phase-diverse optical images. We evaluated our network on 600,000 simulated Point Spread Function (PSF) datasets randomly generated within the range of -1 to 1 radians using the first 25 Zernike coefficients. The results show that using only three phase-diverse images captured above, below and at the focal plane with an amplitude of 1 achieves a low RMSE of 0.10 radians on the simulated Point Spread Function (PSF) dataset. Furthermore, this approach directly predicts Zernike modes simulated extended 2D samples, while maintaining a comparable RMSE of 0.15 radians. We demonstrate that this approach is effective using only a single prediction step, or can be iterated a small number of times. This simple and straightforward technique provides rapid and accurate method for predicting the aberration correction using three or less phase-diverse images, paving the way for evaluation on real-world dataset. Copyright © 2024, The Authors. All rights reserved.

关键词： Optical transfer function

Regarding the Maximal Qubit Violations of n-Locality in Star and Chain Networks

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arXiv 2022年

作者： Doolittle, Brian Chitambar, Eric Department of Physics University of Illinois at Urbana-Champaign UrbanaIL61801 United States Department of Electrical and Computer Engineering Coordinated Science Laboratory University of Illinois at Urbana-Champaign UrbanaIL61801 United States

The nonlocal correlations of noisy quantum systems are important for both understanding nature and developing quantum technology. We consider the correlations of star and chain quantum networks where noisy entanglement sources are measured by nonsignaling parties. When pairs of local dichotomic observables are considered on qubit systems, we derive maximal n-local violations that are larger and more robust to noise than the maximal n-local violations reported previously. To obtain these larger values, we consider observables overlooked in the previous studies. Thus, we gain new insights into self-testing measurements and entanglement sources in star and chain networks. Copyright © 2022, The Authors. All rights reserved.

关键词： Qubits

Label-free Imaging with Photonic Crystal Surface for Hematopoietic Stem Cell Differentiation

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Label-free Imaging with Photonic Crystal Surface for Hematop...

Microscopy Histopathology and Analytics, Microscopy 2024 - Part of Optica Biophotonics Congress: Biomedical Optics

作者： Zhuo, Yue Choi, Ji Sun Marin, Thibault Yu, Hojeong Harley, Brendan A. Cunningham, Brian T. Gordon Center for Medical Imaging Massachusetts General Hospital BostonMA02114 United States Center for Systems Biology Massachusetts General Hospital BostonMA02114 United States Department of Radiology Harvard Medical School BostonMA02114 United States Department of Bioengineering University of Illinois at Urbana-Champaign UrbanaIL61801 United States Department of Chemical and Biomolecular Engineering University of Illinois at Urbana-Champaign UrbanaIL61801 United States Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign UrbanaIL61801 United States Micro and Nanotechnology Laboratory University of Illinois at Urbana-Champaign UrbanaIL61801 United States Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign UrbanaIL61801 United States Carl R. Woese Institute for Genomic Biology University of Illinois at Urbana-Champaign UrbanaIL61801 United States

With the Photonic Resonator Outcoupler Microscopy (PROM), it is possible to detect and monitor weak-adhesive HSC adhesion without labeling. These findings indicate that PROM can be used to quantitatively and dynamical... 详细信息

ISBN: (纸本)9781957171340

关键词： Stem cells

NeRV-3D-DC: A Nonlinear Dimensionality Reduction Visualization Method for 3D Chromosome Structure Reconstruction with High Resolution Hi-C Data

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NeRV-3D-DC: A Nonlinear Dimensionality Reduction Visualizati...

2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

作者： Gong, Haiyan Yang, Yi Zhang, Xiaotong Ma, Fuqiang Li, Minghong Chen, Zhengyuan Zhang, Sichen Chen, Yang University of Science and Technology Beijing School of Computer and Communication Engineering Beijing Advanced Innovation Center for Materials Genome Engineering Beijing China Institute of Basic Medical Sciences School of Basic Medicine Chinese Academy of Medical Sciences Peking Union Medical College The State Key Laboratory of Medical Molecular Biology Department of Biochemistry and Molecular Biology Beijing100005 China University of Science and Technology Shunde Innovation School Foshan Beijing528399 China Electronic Information Industry Co. Ltd China

ISBN: (纸本)9781665468190

Chromosome structure plays an essential role in exploring the relationship between chromosome structure and gene transcription. In recent years, High-resolution Hi-C data allows us to explore the chromosome structures in 3D space. However, most of the existing chromosome structure reconstruction methods can not realize the 3D structure reconstruction at a high resolution (for example, 5 Kilobase (KB)). In this paper, we first proposed the NeRV-3D to reconstruct the 3D chromosome structure at a low resolution based on the nonlinear dimensionality reduction visualization algorithm. Then, we proposed the NeRV-3D-DC to reconstruct and visualize the 3D chromosome structure at a high resolution based on the divide-and-conquer method. Results show that NeRV-3D and NeRV-3DDC perform better than existing methods by comparing the 3D visualization effects and evaluation metrics on simulated and real Hi-C datasets. Implementation of NeRV-3D-DC is available on https://***/ghaiyan/NeRV-3D-DC © 2022 IEEE.

关键词： Visualization