检索结果-内蒙古大学图书馆

Modeling Aspects in Optical Metrology IX 2023

作者： Lehmann, Peter Pahl, Tobias Riebeling, Jörg Measurement Technology Faculty of Electrical Engineering and Computer Science University of Kassel Wilhelmshoeher Allee 71 Kassel34121 Germany

ISBN: (数字)9781510664487

ISBN: (纸本)9781510664470

Optical surface topography measurements sometimes suffer from systematic errors. In order to predict such deviations, modeling of optical profilers is a substantial part of the European project TracOptic (Traceable Optics). Within the framework of this project, we recently developed the UFO (Universal Fourier Optics) model, which simulates virtual CSI measurements of surface topographies that fulfill the requirements of the scalar Kirchhoff approximation. The model enables a fast computation of 'measured' surface topographies as it is based on discrete Fourier transforms. It treats the surface under investigation as a two-dimensional phase object assuming a linear dependence of the interference phase on surface height and axial spatial frequency. The scattered light field is transferred to the Fourier domain and multiplied by a partial two-dimensional transfer function (TF) representing a horizontal cross section of the three-dimensional TF at a certain axial spatial frequency or evaluation wavelength, respectively. The TF includes parameters of the interference microscope and the reference field distribution. Inverse Fourier transform enables the reconstruction of the phase object. The coherence peak position of an interference signal results from numerical differentiation with respect to the axial spatial frequency and is generally used to overcome the 2π ambiguity of the phase profile. Parameters affecting final results of reconstructed surface topographies are the central wavelength and the spectral bandwidth of the illuminating light as well as the numerical aperture of the objective lens and the chosen evaluation wavelength. We discuss results of the UFO model with respect to the prediction of systematic deviations of measured surface topographies. © 2023 SPIE.

关键词： Function evaluation

来源：评论

学校读者我要写书评

暂无评论

Hybrid distributed acoustic sensing and Kramers-Kronig communication system over a two-mode fiber

Hybrid distributed acoustic sensing and Kramers-Kronig commu...

引用

2023 Optical Fiber Communications Conference and Exhibition, OFC 2023

作者： Marin, Juan M. Briantcev, Dmitrii Kang, Chun Hong Alkhazragi, Omar Ng, Tien Khee Ashry, Islam Trichili, Abderrahmen Ooi, Boon S. King Abdullah University of Science and Technology Computer Electrical and Mathematical Sciences & Engineering Thuwal23955-6900 Saudi Arabia

We report on the co-propagation of distributed acoustic sensing (DAS) and Kramers-Kronig communication scheme over a two-mode fiber, achieving DAS with a signal-to-noise ratio larger than 2 dB and gross data rate of 2... 详细信息

ISBN: (纸本)9781957171180

关键词： Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

SMAKAP: Secure Mutual Authentication and Key Agreement Protocol for RFID Systems 17

SMAKAP: Secure Mutual Authentication and Key Agreement Proto...

引用

17th International Conference on Security of Information and Networks, SIN 2024

作者： Naziri, Shayesta Wang, Xu Yu, Guangsheng Xu, Jian Shrestha, Sudhir Liang, Christy Jie School of Electrical and Data Engineering University of Technology SydneyNSW2007 Australia School of Computer Science University of Technology SydneyNSW2007 Australia

ISBN: (纸本)9798331509736

Radio Frequency Identification (RFID) is a crucial technology in the Internet of Things (IoT), enabling seamless wireless communication and data exchange. However, these technologies can pose significant security chal-lenges if not implemented with proper attention to security protocols-especially in communication, where pre-shared keys are not used between active tags and readers for device authentication. Some recent authentication protocols rely solely on a hash function, nonce, and single public kay agreement, which can lead to failure to implement robust security and proper authentication or ineffective for high security application environments. To effectively address these challenges this paper proposes a secure Elliptic Curve Cryptography (ECC) based lightweight mutual authentication protocol utilizing a hybrid key agreement protocol between active tag and reader for secure communication in RFID-enabled devices in the IoT environments. The informal analysis demonstrates a secure communication environment for data privacy and flexibility through effective key management. This protocol is adaptable to various applications by addressing specific requirements and limitations. © 2024 IEEE.

关键词： Authentication Protocol

来源：评论

学校读者我要写书评

暂无评论

Optimal Utilization of Electric Vehicles in the Parking Lot of the Faculty Building to Increase Social Welfare 6

Optimal Utilization of Electric Vehicles in the Parking Lot ...

引用

6th IEEE International Conference and Workshop Obuda on electrical and Power engineering, CANDO-EPE 2023

作者： Misljenovic, Nemanja Fekete, Kresimir Knezevic, Goran Pleskalt, Martin Josip Juraj Strossmayer University of Osijek Computer Science and Information Technology Osijek Faculty of Electrical Engineering Osijek Croatia

ISBN: (纸本)9798350328752

This paper strives to investigate the impact of integrating charging stations in the parking lot of the faculty building with an installed photovoltaic power plant (PV) and battery energy storage system (BESS) to maximize social welfare. The integration of charging stations in the parking lot of business buildings would enable savings for owners of electric vehicles (EVs) who live in residential buildings and have to charge their EVs at public charging stations. On the other hand, by integrating charging stations into the parking lot, business buildings could reduce their electricity costs because they use EVs as BESS. Accordingly, the optimization model was developed in the GAMS environment by applying MILP formulation. The research was conducted according to the current market conditions and for a newly proposed market model for charging and discharging batteries of EVs in the parking lot of business buildings. The results show the need to find the optimal prices for charging and discharging batteries of EVs by applying multi-level optimization. © 2023 IEEE.

关键词： Energy management systems

来源：评论

学校读者我要写书评

暂无评论

Towards Real-Time Motion Planning for Industrial Robots in Collaborative Environments 49

Towards Real-Time Motion Planning for Industrial Robots in C...

引用

49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Bhuiyan, Teham Kutschank, Benno Pruter, Karim Flach, Huy Kastner, Linh Lambrecht, Jens Berlin Institute of Technology Chair Industry Grade Networks and Clouds Faculty of Electrical Engineering and Computer Science Berlin Germany

ISBN: (纸本)9798350331820

In collaborative environments, real-time motion planning is crucial for industrial robots to navigate safely and efficiently. Traditional planning algorithms, such as Rapidly-exploring Random Trees (RRT) or Probabilistic Roadmaps (PRM), often face challenges in coping with dynamic environments due to their inherent computational complexity. To address this issue, we propose an approach based on Deep Reinforcement Learning (DRL) for real-time motion planning of industrial robots. Our method leverages the power of machine learning and neural networks to enable robots to make intelligent decisions in real-time, ensuring prompt and adaptive navigation. However, applying DRL to industrial robots poses unique challenges, as vision-based training is difficult and distance sensors commonly used in mobile robots are unavailable. To overcome these challenges, we employ depth cameras to generate distance information and convert the obtained point cloud into voxels using the Open3D library. The obstacles are then loaded into the simulation environment in real-time, allowing the agent to perceive and react to the dynamic environment. To achieve a low simulation-to-real-gap, we propose a hardware-in-the-loop (HIL) approach, where the real robot mimics the movements of the simulated robot. We demonstrate the effectiveness of our system through real-world experiments. Our code is available on GitHub [1]. © 2023 IEEE.

关键词： Industrial robots

来源：评论

学校读者我要写书评

暂无评论

Automated Deep Learning Driven Crop Classification on Hyperspectral Remote Sensing Images

引用

computers, Materials & Continua 2023年第2期74卷 3167-3181页

作者： Mesfer Al Duhayyim Hadeel Alsolai Siwar Ben Haj Hassine Jaber SAlzahrani Ahmed SSalama Abdelwahed Motwakel Ishfaq Yaseen Abu Sarwar Zamani Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of Electrical Engineering Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11845Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Hyperspectral remote sensing/imaging spectroscopy is a novel approach to reaching a spectrum from all the places of a huge array of spatial places so that several spectral wavelengths are utilized for making coherent *** remote sensing contains acquisition of digital images from several narrow,contiguous spectral bands throughout the visible,Thermal Infrared(TIR),Near Infrared(NIR),and Mid-Infrared(MIR)regions of the electromagnetic *** order to the application of agricultural regions,remote sensing approaches are studied and executed to their benefit of continuous and ***,hyperspectral images(HSI)are considered the precise for agriculture as they can offer chemical and physical data on *** this motivation,this article presents a novel Hurricane Optimization Algorithm with Deep Transfer Learning Driven Crop Classification(HOADTL-CC)model onHyperspectralRemote Sensing *** presentedHOADTL-CC model focuses on the identification and categorization of crops on hyperspectral remote sensing *** accomplish this,the presentedHOADTL-CC model involves the design ofHOAwith capsule network(CapsNet)model for generating a set of useful feature ***,Elman neural network(ENN)model is applied to allot proper class labels into the input ***,glowworm swarm optimization(GSO)algorithm is exploited to fine tune the ENNparameters involved in this *** experimental result scrutiny of the HOADTL-CC method can be tested with the help of benchmark dataset and the results are assessed under distinct *** comparative studies stated the enhanced performance of the HOADTL-CC model over recent approaches with maximum accuracy of 99.51%.

关键词： Hyperspectral images remote sensing deep learning hurricane optimization algorithm crop classification parameter tuning

来源：评论

学校读者我要写书评

暂无评论

Identification and Classification of Electronic Devices Using Harmonic Radar 19

Identification and Classification of Electronic Devices Usin...

引用

19th Annual International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023

作者： Perez, Beatrice Pierson, Timothy J. Mazzaro, Gregory Kotz, David Dartmouth College Department of Computer Science HanoverNH United States The Citadel the Military College of South Carolina Department of Electrical and Computer Engineering CharlestonSC United States

ISBN: (纸本)9798350346497

Smart home electronic devices invisibly collect, process, and exchange information with each other and with remote services, often without a home occupants' knowledge or consent. These devices may be mobile or fixed and may have wireless or wired network connections. Detecting and identifying all devices present in a home is a necessary first step to control the flow of data, but there exists no universal mechanism to detect and identify all electronic devices in a space. In this paper we present ICED (Identification and Classification of Electronic Devices), a system that can (i) identify devices from a known set of devices, and (ii) detect the presence of previously unseen devices. ICED, based on harmonic radar technology, collects measurements at the first harmonic of the radar's transmit frequency. We find that the harmonic response contains enough information to infer the type of device. It works when the device has no wireless network interface, is powered off, or attempts to evade detection. We evaluate performance on a collection of 17 devices and find that by transmitting a range of frequencies we correctly identify known devices with 97.6% accuracy and identify previously unseen devices as 'unknown' with 69.0% balanced accuracy. © 2023 IEEE.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

Physical-Layer Security in AmBC-NOMA Networks With Random Eavesdroppers

引用

IEEE Internet of Things Journal 2025年第12期12卷 18628-18642页

作者： Pei, Xinyue Wang, Xingwei Huang, Min Chen, Yingyang Li, Xiaofan Tsiftsis, Theodoros A. Northeastern University School of Computer Science and Engineering Shenyang110819 China Northeastern University College of Information Science and Engineering Shenyang110819 China Jinan University College of Information Science and Technology Guangzhou510632 China Jinan University School of Intelligent Systems Science and Engineering Zhuhai519070 China University of Thessaly Department of Informatics Telecommunications Lamia35100 Greece University of Nottingham Ningbo China Department of Electrical and Electronic Engineering Ningbo315100 China

In this work, we investigate the physical-layer security (PLS) of ambient backscatter communication nonorthogonal multiple access (AmBC-NOMA) networks where noncolluding eavesdroppers (Eves) are randomly distributed. In the proposed system, a base station (BS) transmits a superimposed signal to a typical NOMA user pair, while a backscatter device (BD) simultaneously transmits its unique signal by reflecting and modulating the BS’s signal. Meanwhile, Eves passively attempt to wiretap the ongoing transmissions. Notably, the number and locations of Eves are unknown, posing a substantial security threat to the system. To address this challenge, the BS injects artificial noise (AN) to mislead the Eves, and a protected zone is employed to create an Eve-exclusion area around the BS. Theoretical expressions for outage probability (OP) and intercept probability (IP) are provided to evaluate the system’s reliability– security tradeoff. Asymptotic behavior at high signal-to-noise ratio (SNR) is further explored, including the derivation of diversity orders for the OP. Numerical results validate the analytical findings through extensive simulations, demonstrating that both the AN injection and protected zone can effectively enhance PLS. Furthermore, analysis and insights of different key parameters, including transmit SNR, reflection efficiency at the BD, power allocation coefficient, power fraction allocated to desired signal, Eve-exclusion area radius, Eve distribution density, and backscattered AN cancellation efficiency, on OP and IP are also provided. © 2014 IEEE.

关键词： Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

TriMoFaceNet: A Trimmed MobileFaceNet Architecture for Resource-constrained Environments 6

TriMoFaceNet: A Trimmed MobileFaceNet Architecture for Resou...

引用

6th International Conference on Image, Video Processing, and Artificial Intelligence, IVPAI 2024

作者： Prakash, Pritesh Singh, Prinsh Kumar Jerripothula, Koteswar Rao Central Research Lab Bharat Electronics Ltd. Ghaziabad India Department of Electrical Engineering IIT Kanpur India Department of Computer Science and Engineering IIIT-Delhi India

ISBN: (纸本)9781510681781

As one of the most popular vision applications, face verification systems can be needed in all kinds of scenarios, including resource-constrained environments. In this paper, we propose a trimmed variant of MobileFaceNet, which can perform as well as MobileFaceNet but with fewer memory and computational requirements. We essentially make two changes to the bottlenecks: reversing the expansion-projection process and adding one more depth-wise convolution layer. While the first one significantly reduces the number of parameters and calculations, the second one increases them. We try to strike a balance between the two to have a complex enough network architecture that can perform face verification as well as the original one. We could cut down the model size by almost a quarter in this manner, and we name the resultant network TriMoFaceNet. © 2024 SPIE.

关键词： Network architecture

来源：评论

学校读者我要写书评

暂无评论

A Simplified Technique Of Design For Double Density Wavelets With Enhanced Denoising APPLICATIONS 40

A Simplified Technique Of Design For Double Density Wavelets...

引用

40th National Radio science Conference, NRSC 2023

作者： Fahmy, Gamal Fahmy, Mamdouh F. Fahmy, Omar Galala University Faculty of Computer Science and Engineering Egypt Assiut University Electrical Engineering Dept. Assiut Egypt Badr University in Cairo Electrical Engineering Dept. Egypt

ISBN: (纸本)9798350311440

Denoising Images is a crucial step in noise removal in any data or image communication problem. Recently two image denoising techniques were presented that depends on bivariate analysis. These two techniques were called Double Density Discrete Wavelet Transform (DD DWT) and Double Density Dual Tree Complex Wavelet Transform (DD CWT). They relayed on the decomposition of noisy images with either DD CWT or DD DWT decompositions. This decomposition was after the bivariate based shrinkage technique was applied to exploit the wavelet parent and children correlation for better denoising performance. In this paper we present a novel filter design technique for a DD DWT structure for denoising applications. It composed of 3 dimensional cascaded orthogonal sections. This proposed 3-channel Double Density Wavelet decomposition structure is simple and is fast in terms of convergence. It overcomes most problems for other filter design techniques of being slowly iterative and relays on randomness in parameter optimization. The proposed filter design DD-DWT structure guarantees the Perfect Reconstruction PR and the Alias Cancellation AC conditions and is suitable for VLSI iterative designs. Illustrative examples for the usage of the proposed DD-DWT based design in different image denoising applications are shown in comparison with other denoising structures from recent literature. © 2023 IEEE.

关键词： Image denoising

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：