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Advances in Computing, Communication and Applied Informatics (ACCAI), International Conference on

作者： Karthick S B. Anjanee Kumar Puneet Sethi Niraj Kr Singh Supriya Srivastava P Vishnu Prasanth Department of Computer Science and Engineering SRM Institute of Science and Technology Ghaziabad Department of Electronic and Communication Engineering Dadi Institute of Engineering and Technology Teerthanker Mahaveer University Moradabad Amity Institute of Applied Sciences Amity University Faculty of Management Sciences Shoolini University Solan Mohan Babu University Tirupati

A spic and span exhaustive disciplinesare logistics science. It is essential to the headway of the board and creation principles as well as the development of the public economy. To foster a powerful agricultural economy, the undertaking of developing new agricultural corporate substances is vital. The old techniques for agricultural item assembling and circulation are as of now not ready to fulfill the requirements of production network advancement and market informatization. To resolve the issues traditional strategies welcome, investigating new agricultural item creation and conveyance techniques is fundamental. By coordinating agricultural item store network assets, eliminating wasteful connections in the course of agricultural items, reducing expenses, accomplishing discernibility of agricultural items, and guaranteeing the quality and security of agricultural items, we make an advancement system for agricultural item supply chains, drove by enormous information specialist coops. Given this, this article proposes a model for a coordinated administration stage-based agricultural item store network, and it conducts broad research on the logistics activity rationale of the chain to give a hypothetical establishment and information support for the plan and improvement of the administration stage.

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Correction to: Advanced model based machine learning technique for early stage prediction of ankylosing spondylitis under timely analysis with featured textures

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Multimedia Tools and Applications 2024年第26期83卷 68415-68420页

作者： Ahammad, Shaik Hasane Jayaraj, R. Shibu, S. Sujatha, V. Prathima, Ch Leo, L. Megalan Prabu, R. Thandaiah Hossain, Md.Amzad Rashed, Ahmed Nabih Zaki Department of ECE Koneru Lakshmaiah Education Foundation Vaddeswaram India Department of Data Science and Buisness Systems School of Computing SRM Institute of Science and Technology Kattankulathur Chennai India Department of Electronics and Communication Engineering Panimalar Engineering College Chennai India Department of Master of Computer Applications S.A. Engineering College Chennai India Department of Data Science School of Computing Mohan Babu University Erstwhile Sree Vidyanikethan Engineering College) Tirupati India Deptartment of Electronics and Communication Engineering Sathyabama Institute of Science and Technology Chennai India Department of ECE Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences SIMATS Saveetha University Chennai India Department of Electrical and Electronic Engineering Jashore University of Science and Technology Jashore Bangladesh Electronics and Electrical Communications Engineering Department Faculty of Electronic Engineering Menoufia University Menouf Egypt

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CWDM communication system based inline erbium-doped fiber amplifiers with the linear geometrical polarization model

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Journal of Optical Communications 2024年第0期45卷 s431-s443页

作者： Eid, Mahmoud M. A. Sorathiya, Vishal Lavadiya, Sunil Parmar, Juveriya Patel, Shobhit K. Ali, Shaimaa Ahmed Rashed, Ahmed Nabih Zaki Department of Electrical Engineering College of Engineering Taif University Taif Saudi Arabia Department of Information and Communication Technology Marwadi University Rajkot India Department of Physics Marwadi University Rajkot360003 India Department of Electronics and Communication Engineering Marwadi University Rajkot360003 India Department of Computer Engineering Marwadi University Rajkot360003 India Electronics and Electrical Communications Engineering Department Faculty of Electronic Engineering Menoufia University Menouf32951 Egypt

Optical fiber coarse wavelength division multiplexing (CWDM) with erbium-doped fiber inline-amplifiers for the linear polarization geometrical model is studied in this paper for fiber system optimization by using the Optisystem simulation software. Signal gain (SG), noise figure (NF), and signal/noise are measured against CWDM optical fiber variations. The erbium-doped fiber amplifier (EDFA) is based on the Giles model which solves the steady-state rate equations for SG and signal absorption parameters with the cross-section area of the amplifier itself. The signal is optimized at EDFA length of 6 m, 10 Gb/s data rates (DRs) transmission and 10 km CWDM fiber optic length (FOL). Max. Q factor is degraded and min. BER is upgraded with both CWDM optical FLs and higher DRs transmission increase. © 2021 Walter de Gruyter GmbH, Berlin/Boston.

关键词： Erbium doped fiber amplifiers

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Sfamnet: A Scene Flow Attention-Based Micro-Expression Network

SSRN

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SSRN 2023年

作者： Liong, Gen-Bing Liong, Sze-Teng Chan, Chee Seng See, John CISiP Faculty of Computer Science and Information Technology Universiti Malaya Kuala Lumpur50603 Malaysia Department of Electronic Engineering Feng Chia University Taichung40724 Taiwan School of Mathematical and Computer Sciences Heriot-Watt University Malaysia Putrajaya Malaysia

Tremendous progress has been made in facial Micro-Expression (ME) spotting and recognition;however, most works have focused on either spotting or recognition tasks on the 2D videos. Until recently, the estimation of the 3D motion field (a.k.a scene flow) for the ME has only become possible after the release of the multi-modal ME dataset. In this paper, we propose the first Scene Flow Attention-based Micro-expression Network, namely SFAMNet. It takes the scene flow computed using the RGB-D flow algorithm as the input and predicts the spotting confidence score and emotion labels. Specifically, SFAMNet is an attention-based end-to-end multi-stream multi-task network devised to spot and recognize the ME. Besides that, we present a data augmentation strategy to alleviate the small sample size problem during network learning. Extensive experiments are performed on three tasks: (i) ME spotting;(ii) ME recognition;and (iii) ME analysis on the multi-modal CAS(ME)3 dataset. Empirical results indicate that depth is vital in capturing the ME information and the effectiveness of the proposed approach. Our source code is publicly available at https://***/genbing99/SFAMNet . © 2023, The Authors. All rights reserved.

关键词： Face recognition

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Lithium-ion Battery Aging Prediction with Electrochemical Models: P2D vs SPMe

Lithium-ion Battery Aging Prediction with Electrochemical Mo...

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IEEE Conference on Vehicle Power and Propulsion (VPPC)

作者： Iker Lopetegi Gregory L. Plett M. Scott Trimboli Josu Yeregui Laura Oca Clara Rojas Eduardo Miguel Unai Iraola Electronic and Computing Department Mondragon Unibertsitatea Faculty of Engineering Gipuzkoa Spain Department of Electrical and Computer Engineering University of Colorado Colorado Springs CO USA Electrical Energy Storage Ikerlan Technology Research Centre Basque Research and Technology Alliance (BRTA) Arrasate/Mondragon Spain

Battery aging models are essential tools when predicting how much a battery will age under certain working conditions, which is key when sizing a battery pack and controlling its operation. Nowadays, mostly empirical battery aging models are used, which require a high amount of long degradation experiments, and a lot of facilities are needed to perform these tests (cyclers, climate chambers … ). Due to the better predictability of physics-based models (PBMs), its use could reduce the costs of this process by decreasing the number of experiments. For that, an appropriate physics-based aging model must be selected. Hence, in this work we have compared two of the most used PBMs: the pseudo-two-dimensional (P2D) model and the single particle model with electrolyte dynamics (SPMe). We have analyzed their battery aging prediction accuracy as well as the computational cost. The results show that the SPMe can predict capacity fade with high accuracy compared to the P2D model, while the computational cost is reduced significantly. However, some gradients of internal mechanisms cannot be captured with the SPMe, which may generate differences when predicting internal aging variables.

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Model-Driven Sensing-Node Selection and Power Allocation for Tracking Maneuvering Targets in Perceptive Mobile Networks

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IEEE Transactions on Wireless Communications 2025年

作者： Xie, Lei He, Hengtao Song, Shenghui Eldar, Yonina C. Southeast University School of Cyber Science and Engineering Nanjing China Southeast University National Mobile Communications Research Laboratory School of Information Science and Engineering Nanjing China Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Hong Kong Weizmann Institute of Science Faculty of Mathematics and Computer Science Rehovot7610001 Israel

Maneuvering target tracking is an important service of future wireless networks to assist innovative applications such as intelligent transportation. However, tracking maneuvering targets by cellular networks faces many challenges. In particular, the dense network and high-speed targets make the selection of the sensing nodes (SNs) and the associated power allocation very challenging. Existing methods demonstrated engaging performance, but with high computational complexity. In this paper, we propose a model-driven deep learning (DL)-based approach for SN selection. To this end, we first propose an iterative SN selection method by jointly exploiting the majorization-minimization (MM) framework and the alternating direction method of multipliers (ADMM). Then, we unfold the iterative algorithm as a deep neural network and prove its convergence. The proposed method achieves lower computational complexity, as the number of layers is less than the number of iterations required by the original algorithm, and each layer only involves simple matrix-vector additions/multiplications. Finally, we propose an efficient power allocation method based on fixed point (FP) water filling and solve the joint SN selection and power allocation problem under the alternative optimization framework. Simulation results show that the proposed method achieves better performance than conventional optimization-based algorithms with much lower computational complexity. © 2002-2012 IEEE.

关键词： NP-hard

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FAS-RIS Communication: Model, Analysis, and Optimization

arXiv

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arXiv 2024年

作者： Yao, Junteng Zheng, Jianchao Wu, Tuo Jin, Ming Yuen, Chau Wong, Kai-Kit Adachi, Fumiyuki The Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo315211 China The School of Computer Science and Engineering Huizhou University Huizhou516000 China The School of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore The Department of Electronic and Electrical Engineering University College London LondonWC1E 6BT United Kingdom The Yonsei Frontier Laboratory The School of Integrated Technology Yonsei University Seoul03722 Korea Republic of Tohoku University Sendai Japan

This correspondence investigates the novel fluid antenna system (FAS) technology, combining with reconfigurable intelligent surface (RIS) for wireless communications, where a base station (BS) communicates with a FAS-enabled user with the assistance of a RIS. To analyze this technology, we derive the outage probability based on the block-diagonal matrix approximation (BDMA) model. With this, we obtain the upper bound, lower bound, and asymptotic approximation of the outage probability to gain more insights. Moreover, we design the phase shift matrix of the RIS in order to minimize the system outage probability. Simulation results confirm the accuracy of our approximations and that the proposed schemes outperform benchmarks significantly. © 2024, CC BY.

关键词： Benchmarking

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Blockchain based Secure System for the Internet of Drones (IoD)

Blockchain based Secure System for the Internet of Drones (I...

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International conference of electronics, Communication and Aerospace technology (ICECA)

作者： Sudhanshu Maurya M. M. S. Rauthan Rohan Verma R Badlishah Ahmad Department of Computer Science & Engineering Hemvati Nandan Bahuguna Garhwal University Srinagar Uttarakhand India Faculty of Electronic Engineering and Technology Universiti Malaysia Perlis Perlis Malaysia

ISBN: (纸本)9781665482721

At present, drones are being used at a higher rate than ever. Frequently, they have been often used in military services. Therefore, it is the need of the hour to increase the smartness, privacy, and security of drones as they provide confidentiality and validity in the transmission of data. This research study has suggested and implemented a blockchain-based secure system for the internet of drones. It provides seamless authentication and registration for drones with better data storage security. The proposed method is evaluated on dummy drones to check the security and confidentiality of the system.

关键词： Industries Privacy Data privacy Authentication Internet Registers Blockchains

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Incorporating Extended Reality technology for Delivering computer Aided Design and Visualisation Modules

Incorporating Extended Reality Technology for Delivering Com...

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International Conference on Software, Knowledge Information, Industrial Management and Applications (SKIMA)

作者： Parag Vichare Michele Cano Keshav Dahal Tomasz Siewierski Marco Gilardi School of Computing Engineering and Physical Sciences (CEPS) University of the West of Scotland Paisley Faculty of Electrical Electronic Computer and Control Engineering Lodz University of Technology Lodz Poland

ISBN: (纸本)9781665493352

The basic requirement in curriculum design is to review and constructively align programme modules with state-of-the art and trends in the subject area. Extended reality (XR), an umbrella term for emerging technologies such as augmented reality (AR), mixed reality (MR) and virtual reality (VR), is becoming a prominent aspect of design and visualization for architecture, engineering, and construction (AEC) industry. engineering programmes are primary feeders for the AEC industry, delivery of CAD and visualisation modules provide wider opportunities for adapting such emerging technologies in the subject area, as well as use of these technologies for developing novel pedagogical practices. This paper provides a rational behind revising traditional CAD and visualisation modules designed for engineering undergraduate programmes, and constructively incorporate XR within programme modules. A critical literature review is provided on XR subject area as well as XR based pedagogical practices. This review identifies elements of XR as a subject area that can be incorporated in AEC programmes. It also highlights academic and operational considerations in adapting XR technology for delivering CAD and visualisation modules. Similar approach is extended to evaluate integration of XR technologies for Electrical and Power engineering Programmes.

关键词： Industries Visualization Power engineering Three-dimensional displays Extended reality Education Mixed reality

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Third-Order Sum-Difference Expansion: An Array Extension Strategy based on Third-Order Cumulants

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IEEE Transactions on Signal Processing 2025年

作者： Guo, Haodong Chen, Hua Liu, Wei Yang, Songjie Yuen, Chau So, Hing Cheung Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo315211 China Department of Electrical and Electronic Engineering Hong Kong University of Electronic Science and Technology of China National Key Laboratory of Wireless Communications Chengdu610054 China Nanyang Technological University School of Electrical and Electronics Engineering 639798 Singapore City University of Hong Kong Department of Electrical Engineering Hong Kong

Recently, numerous design schemes for high-order sparse linear arrays (SLAs) have been introduced for underdetermined direction-of-arrival (DOA) estimation based on high-order cumulants, which utilize both difference co-array (DCA) and sum co-array (SCA) of the generator arrays to construct a large consecutive virtual co-array, achieving a significant increase in the number of uniform degrees-of-freedom (uDOFs). However, this processing places high demands on the generator arrays, which require both long consecutive DCA and SCA. In addition, the robustness of the derived array is prone to deterioration, due to reduced redundancy between DCA and SCA. To that end, in this paper, an alternative design scheme for third-order SLAs termed third-order sum-difference expansion (TO-SDE) is proposed, which no longer separates DCA and SCA by a shift factor, but considers them as a unified whole. In so doing, most desirable characteristics of the generator array are preserved, such as the size of consecutive virtual co-array, resistance to mutual coupling, and robustness against sensor failures, while the mapping from the sum-difference co-array based second-order SLAs to the third-order is achieved. By selecting the appropriate generator array, excellent DOA estimation performance can be attained in various scenarios. © 1991-2012 IEEE.

关键词： Direction of arrival

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