检索结果-内蒙古大学图书馆

Fully integrated and broadband si-rich silicon nitride wavelength converter based on Bragg scattering intermodal four-wave mixing

引用

Photonics Research 2024年第S1期12卷 I0001-I0010页

作者： VALERiO VitALi tHALÍA DOMÍNGUEZ BUCiO HAO LiU JOsÉMANUEL LUQUE GONZÁLEZ FRANCisCO JURADO-ROMERO ALEJANDRO ORtEGA-MOÑUX GLENN CHURCHiLL JAMEs C.GAtEs JAMEs HiLLiER NiKOLAOs KALFAGiANNis DANiELE MELAti JENs H.sCHMiD iLARiA CRistiANi PAVEL CHEBEN J.GONZALO WANGÜEMERt-PÉREZ ÑiGO MOLiNA-FERNÁNDEZ FREDERiC GARDEs COsiMO LACAVA PERiKLis PEtROPOULOs Optoelectronics Research Centre University of SouthamptonSouthampton SO171BJUK Electrical Computer and Biomedical Engineering DepartmentUniversity of PaviaPavia 27100Italy Telecommunication Research Institute(TELMA) Universidad de MálagaCEI Andalucı´a TECHE.T.S.I.Telecomunicación29010 MálagaSpain School of Science and Technology Nottingham Trent UniversityNottingham NG118NSUK Department of Electrical Engineering Eindhoven University of TechnologyEindhoven 5600 MBThe Netherlands Department of Materials Science and Engineering University of IoanninaIoannina 45110Greece Centre de Nanosciences et de Nanotechnologies UniversitéParis-SaclayCNRS91120 PalaiseauFrance Advanced Electronics and Photonics Research Center National Research Council CanadaOttawaOntario K1A 0R6Canada

intermodal four-wave mixing(FWM)processes have recently attracted significant interest for all-optical signal processing applications thanks to the possibility to control the propagation properties of waves exciting distinct spatial modes of the same *** allows,in principle,to place signals in different spectral regions and satisfy the phase matching condition over considerably larger bandwi.t.s compared to intramodal ***,the demonstrations reported so far have shown a limited bandwidth and suffered from the lack of on-chip components designed for broadband manipulation of different *** demonstrate here a silicon-rich silicon nitride wavelength converter based on Bragg scattering intermodal FWM,which integrates mode conversion,multiplexing and de-multiplexing functionalities *** system enables wavelength conversion between pump waves and a signal located in different telecommunication bands(separated by 60 nm)with a 3 dB bandwidth exceeding 70 nm,which represents,to our knowledge,the widest bandwidth ever achieved in an intermodal FWM-based system.

关键词： scattering pump modal

来源：评论

学校读者我要写书评

暂无评论

smart Grid Using Power internet of things Architecture

Smart Grid Using Power Internet of Things Architecture

引用

international Conference on Contemporary Computing and informatics (iC3i)

作者： C.Balakrishna Moorthy B.V. sai thrinath Manikannan Palanivel K Pavani Pankaj Kumar Manikesh Kumar Jha Engineering Department University of Technology and Applied Sciences Salalah Oman Department of EEE Sree Vidyanikethan Engineering College Mohan Babu University Tirupati A.K.T Memoria College of Engineering and Teachnology Kallakurichi. Dept of ECE Aditya Engineering College Surampalem India Department Computer Science and Engineerin Institute Graphic Era deemed to be university Dehradun India St.Martin's Engineering College Kompally Secunderabad

the internet of things (iot) is an innovation that has acquired far reaching acknowledgment and is utilized to associate typical items to the internet to give usability and different functionalities. then again, the savvy Grid (sG) is characterized as the power grid incorporated with an enormous organization of data and correspondences innovation (iCt). the sG is the blend of billions of brilliant articles, like shrewd machines and savvy meters, among different kinds of brilliant items, like actuators and sensors. this article is a theoretical of a shrewd grid innovation that was applied to an environmentally friendly power source and depended on the internet of things. the ongoing system of modernizing how power is circulated includes various parts, one of the most significant of which is the brilliant grid, which incorporates computerized innovation and information the board techniques. sun based energy is being considered as a potential sustainable power source; subsequently a photovoltaic cell will be used. this framework is comprised of various huge subsystems, the most significant of which are power age and capacity, power observing and charging, and power control and the board through the usage of iot.

关键词： technological innovation Photovoltaic cells Power control Organizations sensor phenomena and characterization smart grids internet of things

来源：评论

学校读者我要写书评

暂无评论

Broadband Wavelength Conversion in integrated Waveguides Based on intermodal Four-Wave Mixing

Broadband Wavelength Conversion in Integrated Waveguides Bas...

引用

2024 Photonics North, PN 2024

作者： Vitali, Valerio Bucio, thalía Domínguez Liu, Hao González, José Manuel Luque Jurado-Romero, Francisco Ortega-Moñux, Alejandro Churchill, Glenn Gates, James C. Hillier, James Kalfagiannis, Nikolaos Melati, Daniele schmid, Jens H. Cheben, Pavel Wangüemert-Pérez, J. Gonzalo Molina-Fernández, Íñigo Gardes, Frederic Cristiani, ilaria Petropoulos, Periklis Lacava, Cosimo Electrical Computer and Biomedical Engineering Department University of Pavia Pavia27100 Italy Optoelectronics Research Centre University of Southampton SouthamptonSO17 1BJ United Kingdom Telecommunication Research Institute Universidad de Málaga CEI Andalucía TECH E.T.S.I. Telecomunicación Málaga29010 Spain School of Science and Technology Nottingham Trent University NottinghamNG11 8NS United Kingdom Department of Electrical Engineering Eindhoven University of Technology Eindhoven5600 MB Netherlands Department of Materials Science and Engineering University of Ioannina Ioannina45110 Greece Centre de Nanosciences et de Nanotechnologies Université Paris-Saclay CNRS Palaiseau91120 France Advanced Electronics and Photonics Research Center National Research Council Canada 1200 Montreal Road OttawaONK1A 0R6 Canada

ISBN: (纸本)9798350366365

the realization of broadband all-optical wavelength converters and frequency synthesizers represents a key element for the development of next-generation optical communications systems. in this regard, the use of intermodal nonlinear processes in integrated waveguides has recently attracted significant interest for all-optical processing applications. Here, we present our recent results on the development of integrated and broadband wavelength converters based on the use of the Bragg scattering intermodal four-wave mixing effect in a silicon-rich silicon nitride platform. © 2024 iEEE.

关键词： Four wave mixing

来源：评论

学校读者我要写书评

暂无评论

Efficient Detection Framework Adaptation for Edge Computing: A Plug-and-play Neural Network toolbox Enabling Edge Deployment

arXiv

引用

arXiv 2024年

作者： Wu, Jiaqi Zhang, shihao Chen, simin Wang, Lixu Wang, Zehua Chen, Wei He, Fangyuan tian, Zijian Yu, F. Richard Leung, Victor C.M. Beijing100083 China Department of Electrical and Computer Engineering University of British Columbia Vancouver 2332 Main Mall VancouverBCV6T 1Z4 Canada University of Texas at dallas 800 W Campbell Rd RichardsonTX75080 United States Northwestern University 633 Clark St EvanstonIL60208 United States School of Computer Science and Technology China University of Mining and Technology Jiangsu province Xuzhou221116 China Department of Electrical and Computer Engineering The University of British Columbia Vancouver 2332 Main Mall VancouverBCV6T 1Z4 Canada Department of Systems and Computer Engineering Carleton University OttawaONK1S 5B6 Canada Artificial Intelligence Research Institute Shenzhen MSU-BIT University Shenzhen518172 China College of Computer Science and Software Engineering Shenzhen University Shenzhen528060 China Department of Electrical and Computer Engineering The University of British Columbia VancouverBCV6T 1Z4 Canada College of Applied Science and Technology Beijing Union University Beijing100012 China

Recently, edge computing has emerged as a prevailing paradigm in applying deep learning-based object detection models, offering a promising solution for time-sensitive tasks. However, existing edge object detection faces several challenges: 1) these methods struggle to balance detection precision and model lightweightness. 2) Existing generalized edge-deployment designs offer limited adaptability for object detection. 3) Current works lack real-world evaluation and validation. to address these challenges, we propose the Edge Detection toolbox (ED-tOOLBOX), which leverages generalizable plug-and-play components to enable edge-site adaptation of object detection models. specifically, we propose a lightweight Reparameterized Dynamic Convolutional Network (Rep-DConvNet) that employs a weighted multi-shape convolutional branch structure to enhance detection performance. Furthermore, ED-tOOLBOX includes a sparse Cross-Attention (sC-A) network that adopts a localized-mapping-assisted self-attention mechanism to facilitate a well-crafted Joint Module in adaptively transferring features for further performance improvement. in real-world implementation and evaluation, we incorporate an Efficient Head into the popular You-Only-Look-Once (YOLO) approach to achieve faster edge model optimization. Moreover, we identify that helmet detection—one of the most representative edge object detection tasks—overlooks band fastening, which introduces potential safety hazards. to address this, we build a Helmet Band Detection Dataset (HBDD) and apply an edge object detection model optimized by the ED-tOOLBOX to tackle this real-world task. Extensive experiments validate the effectiveness of components in ED-tOOLBOX. in visual surveillance simulations, ED-tOOLBOX-assisted edge detection models outperform six state-of-the-art methods, enabling real-time and accurate detection. these results demonstrate that our approach offers a superior solution for edge object detection. Copyright © 2024, t

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Efficient DNA sequence identification: A Classification Approach integrating Gaussian RBM

Efficient DNA Sequence Identification: A Classification Appr...

引用

Electronics, Computing, Communication and Control technology (iCECCC), international Conference on

作者： Chahat Gulati Biswajit Barman Govind Hanmantrao Balde Arul Mary Rexy V Meena sachdeva Harshal Patil Department of Electronics and Communication Birla Institute of Technology and Science BITS Pilani Rajasthan India Department of Biotechnology Asian International University Imphal West Manipur India Department of Zoology N.T.V.S'S G.T.Patil Arts Commerce and Science College Nandurbar India Department of Commerce Saveetha College of Liberal Arts and Sciences SIMATS Chennai India Department of Computer Science JIMS Engineering Management and Technical Campus Greater Noida India Department of Data Science Balaji Institute of Technology & Management (BITM) Sri Balaji University Pune Maharashtra India

ISBN: (数字)9798350371802

ISBN: (纸本)9798350371819

Using machine learning techniques, this article examines cancer patients' DNA sequences. Cancer is certainly one of the most common and devastating diseases in the contemporary era, with a large number of new cases and deaths every year. Many people lose their lives each year to this terrible illness. Methods to combat this illness are the focus of intense investigation by scientists from a wide range of fields. Recently, machine learning has improved the analysis of cancer patients' DNA sequences. sequencing is crucial for preprocessing, feature extraction, and model training. Among the preprocessing stages is cleaning up the sequence, which entails eliminating PCR repetitions, impurities, and vectors. Feature extraction has been carried out on each DNA sequence in order to retrieve statistical characteristics. it is of utmost importance to regulate features accurately when training a Gaussian RBM. A grade of 96.44% demonstrated a considerable improvement in accuracy, according to the results.

关键词： training sequential analysis Accuracy sequences Reviews DNA Machine learning

来源：评论

学校读者我要写书评

暂无评论

Blockchain for iot enabled supply chain management - A systematic review 4

Blockchain for IoT enabled supply chain management - A syste...

引用

4th international Conference on iot in social, Mobile, Analytics and Cloud, isMAC 2020

作者： sangeetha, A.s. shunmugan, s. Murugan, G. Manonmaniam Sundaranar University Department of Computer Application Tirunelveli India S.T.Hindu College Department of Computer Science Nagercoil India Rohini College of Engineering and Technology Department of Electrical and Electronics Engineering Kanniyakumari India

ISBN: (纸本)9781728154640

Blockchain will increase supply chains' productivity and accountability, and have a positive effect on anything from warehousing to distribution to payment. to bridge the supply chain visibility gap, blockchain is being deployed because of its security features like immutability, tamper-resistant and hash proof. Blockchain integration with iot increases the traceability and verifiability of the supply chain management and drastically eradicates the fraudulent activities including bribery, money laundering, forged checks, sanction violations, misrepresentation of goods and services. Blockchain can help to cross-check the verification, identification and authenticity of iot devices to reduce the frequency and ramifications of fraud in supply chain management. the epidemic outbreak of sARs-CoV-2 has disrupted many global supply chains. the Geneva-based World Economic Forum declared that sARs-CoV-2 exposed supply chain failures can be tackled by blockchain technology. this paper explores the modern methodologies of supply chain management with integration of blockchain and iot. © 2020 iEEE.

关键词： smart contract

来源：评论

学校读者我要写书评

暂无评论

sCMM: Calibrating Cross-modal Representations for text-Based Person search

arXiv

引用

arXiv 2023年

作者： Liu, Jing Wei, Donglai Liu, Yang Zhang, sipeng Yang, tong Leung, Victor C.M. School of Information Science and Technology Fudan University Shanghai200433 China Department of Electrical and Computer Engineering The University of British Columbia VancouverBCV6T 1Z4 Canada Academy for Engineering & Technology Fudan University Shanghai200433 China Department of Computer Science University of Toronto TorontoONM5S 1A1 Canada MEGVII Technology Beijing100096 China Academy of Artificial Intelligence SMBU Guangdong Shenzhen518115 China College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China

text-Based Person search (tBPs) is a crucial task in the internet of things (iot) domain that enables accurate retrieval of target individuals from large-scale galleries with only given textual caption. For cross-modal tBPs tasks, it is critical to obtain well-distributed representation in the common embedding space to reduce the inter-modal gap. Furthermore, learning detailed image-text correspondences is essential to discriminate similar targets and enable fine-grained search. to address these challenges, we present a simple yet effective method named sew Calibration and Masked Modeling (sCMM) that calibrates cross-modal representations by learning compact and well-aligned embeddings. sCMM introduces two novel losses for fine-grained cross-modal representations: sew calibration loss that aligns image and text features based on textual caption quality, and Masked Caption Modeling (MCM) loss that establishes detailed relationships between textual and visual parts. this dual-pronged strategy enhances feature alignment and cross-modal correspondences, enabling accurate distinction of similar individuals while maintaining a streamlined dual-encoder architecture for real-time inference, which is essential for resource-limited sensors and i.t.systems. Extensive experiments on three popular tBPs benchmarks demonstrate the superiority of sCMM, achieving 73.81%, 64.25%, and 57.35% Rank-1 accuracy on CUHK-PEDEs, iCFG-PEDEs, and RstPReiD, respectively. Copyright © 2023, the Authors. All rights reserved.

关键词： Calibration

来源：评论

学校读者我要写书评

暂无评论

Martensite decomposition kinetics in additively manufactured ti-6Al-4V alloy: in-situ characterisation and phase-field modelling

arXiv

引用

arXiv 2024年

作者： Boccardo, A.D. Zou, Z. simonelli, M. tong, M. segurado, J. Leen, s.B. tourret, Damien Mechanical Engineering School of Engineering College of Science and Engineering University of Galway University Road GalwayH91 HX31 Ireland I-Form Advanced Manufacturing Research Centre University of Galway University Road GalwayH91 HX31 Ireland IMDEA Materials Institute C/ Eric Kandel 2 Getafe Madrid28906 Spain Centre for Additive Manufacturing Faculty of Engineering University of Nottingham Advanced Manufacturing Building Jubilee Campus United Kingdom Universidad Politécnica de Madrid Department of Materials Science E.T.S.I. Caminos C/ Profesor Aranguren 3 Madrid28040 Spain

Additive manufacturing of ti-6Al-4V alloy via laser powder-bed fusion leads to non-equilibrium α′ martensitic microstructures, with high strength but poor ductility and toughness. these properties may be modified by heat treatments, whereby the α′ phase decomposes into equilibrium α + β structures, while possibly conserving microstructural features and length scales of the α′ lath structure. Here, we combine experimental and computational methods to explore the kinetics of martensite decomposition. Experiments rely on in-situ characterisation (electron microscopy and diffraction) during multi-step heat treatment from 400◦C up to the alloy β-transus temperature (995◦C). Computational simulations rely on an experimentally-informed computationally-efficient phase-field model. Experiments confirmed that as-built microstructures were fully composed of martensitic α′ laths. During martensite decomposition, nucleation of the β phase occurs primarily along α′ lath boundaries, with traces of β nucleation along crystalline defects. Phase-field results, using electron backscatter diffraction maps of as-built microstructures as initial conditions, are compared directly with in-situ characterisation data. Experiments and simulations confirmed that, while full decomposition into stable α+β phases may be complete at 650◦C provided sufficient annealing time, visible morphological evolution of the microstructure was only observed for t ≥700◦C, without modification of the prior-β grain structure. © 2024, CC BY.

关键词： Aluminum alloys

来源：评论

学校读者我要写书评

暂无评论

image diagnosis using CNN deep learning model

引用

AiP Conference Proceedings 2024年第1期2802卷

作者： N. subramanyam C. Vijaya Kumar A. Rajasekhar Reddy P. Chandrakanth Department of Computer Science Engineering ASCET Gudur Andhra Pradesh India Department of Computer Science Engineering N.B.K.R.I.S T Vidyanagar Andhra Pradesh India

Brain analysis method is a necessary clinical function; can be analyzed by many techniques. several diagnostic techniques are effective for brain scans, such as Ct, MRi, X-ray, and CtA. if medical goals are immediate and realistic, then the prediction method is simple; these can help the patient’s health. Purpose: in this project, a Ct-based intelligence analysis gadget is propagated using the CNN-GB method. A real and accurate talent prediction system offers a high quality treatment with an environmentally friendly success rate. Method: in this work, the talent failure is detected by computer devices and in-depth knowledge. this operation requires a database (Kaggle database) and real-time Ct scan images. CNN and GBML techniques are used in Ct intelligence images to detect interference. Results: this proposed method gains an accuracy of 0.992 and 0.993 tp this is a suitable result unlike the previous method. Conclusion: in this study, a Ct scan-based intelligence tool was developed. the structure is a combination of flexible filter, CNN’s in-depth mannequin information acquisition, and gradient learning that enhances portable computing. thanks to the combination of three algorithms they get the right results compared to pre-fashion.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Electric-Field Programmable spin Arrays for scalable Quantum Repeaters

Electric-Field Programmable Spin Arrays for Scalable Quantum...

引用

Conference on Lasers and Electro-Optics (CLEO)

作者： Hanfeng Wang Matthew E. trusheim Laura Kim Dirk Englund Research Laboratory of Electronics M.I.T. Cambridge Massachusetts USA Department of Electrical Engineering and Computer Science M.I.T. Cambridge Massachusetts USA U.S. Army Research Laboratory Sensors and Electron Devices Directorate Adelphi Maryland USA

We introduce an electric-field programmable spin array (FPsA) for scalable quantum repeaters. We analyze the FPsA scheme for arrays of nitrogen vacancy color centers in a slow-light diamond waveguide.

ISBN: (数字)9781957171050

ISBN: (纸本)9781665466660

关键词： Waveguide lasers Diamonds Color Lasers and electrooptics Repeaters solid lasers Nitrogen

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：