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2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio science Meeting, AP-S/URSI 2023

作者： Hu, JianJia Chi, Pei-Ling Yang, Tao School of Electronic Science and Engineering University of Electronic Science and Technology of China Chengdu China National Yang Ming Chiao Tung University Department of Electrical and Computer Engineering Hsinchu Taiwan

ISBN: (纸本)9781665442282

A novel phase optimization method for sidelobe-level suppression of 1-blt reconfigurable reflectarrays (RRAs) is proposed. Simply by switching/reversing the binary phase states of unit cells, the sidelobe level suppression can be attained. Furthermore, to enhance the effectiveness without significantly increasing optimization complexity, the hybrid optimization algorithm, incorporating EM simulated and theoretically calculated results, is used to determine optimal phase distribution over reflectarray aperture. To validate the feasibility, a 15× 15 patch reflectarray, which is composed of only two physical lengths to represent two phase states, was experimentally developed and tested, where the sidelobe level is improved from 11.1 dB to 14.3 dB with small peak gain variation from 21.4 dBi to 20.8 dBi. © 2023 IEEE.

关键词： Antenna arrays

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Enhanced Redundant Scheme Based on Weighted Cluster-Head Selection for Critical 6G Infrastructures

Enhanced Redundant Scheme Based on Weighted Cluster-Head Sel...

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2022 IEEE GLOBECOM Workshops, GC Wkshps 2022

作者： Khayat, Grace Mavromoustakis, Constandinos X Pitsillides, Andreas Batalla, Jordi Mongay Markakis, Evangelos K. Andreou, Andreas Department of Computer Science Nicosia Cyprus University of Cyprus Department of Computer Science Cyprus University of Johannesburg Department of Electrical and Electronic Engineering Science South Africa Warsaw University of Technology Warsaw Poland Hellenic Mediteranean University Department of Electrical and Computer Engineering Estavromenos Heraklion Greece University of Nicosia Research Foundation Department of Computer Science Nicosia Cyprus

ISBN: (纸本)9781665459754

Flying Ad hoc Network (FANET) consists of a group of unmanned aerial vehicles (UAVs) that fulfill a certain mission in various applications. The UAV targets uploading data to the 6G networks through communication to other UAVs or to the base station. UAVs collaborate for a purpose to achieve a certain mission in a faster and more reliable way compared to a single UAV. In critical cases such as flooding or earthquakes, one or more UAVs can be non-functional thus emerging a disconnected network. One of the most reliable routing schemes is clustering which splits the network into clusters. Every cluster incorporates a cluster-head and cluster-members. The selection of the cluster-head possesses a high influence on the routing scheme's performance as it is responsible for all intra-cluster communication. A new clustered weighted scheme with a redundant cluster-head is proposed to ensure end-to-end communication in critical 6G infrastructures. The parameters of the weighted formula used for cluster establishment and primary cluster-head selection are the distance, the performance index, the speed, and the energy. A secondary cluster-head that automatically replaces the primary cluster-head whenever it is non-functional is selected based on the link reliability. The promising results obtained from MATLAB simulation are discussed in section IV. © 2022 IEEE.

关键词： MATLAB

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Spatiotemporal optical vortex wavepackets with phase singularities embedded in multiple domains[Invited]

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Chinese Optics Letters 2023年第8期21卷 6-11页

作者：顾亮亮曹前詹其文 School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghai 200093China Zhangjiang Laboratory Shanghai 201204China

Spatiotemporal optical vortex(STOV)wavepacket carrying transverse photonic orbital angular momentum(OAM)has been extensively studied in the past few *** this Letter,we propose and study a novel STOV wavepacket with multiple phase singularities embedded in different space–time domains using analytical and numerical *** tuning different parameters used for designing the wavepacket,it is possible to engineer both the magnitude and orientation of the photonic OAM in space–*** vectorially controllable OAM will pave new avenues and facilitate applications such as novel optical communication,studying complicated quantum systems,and spin-and-OAM interactions.

关键词： spatiotemporal optical vortices photonic orbital angular momentum ultrafast optics

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General Optimal Trajectory Planning:Enabling Autonomous Vehicles with the Principle of Least Action

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engineering 2024年第2期33卷 63-76页

作者： Heye Huang Yicong Liu Jinxin Liu Qisong Yang Jianqiang Wang David Abbink Arkady Zgonnikov School of Vehicle and Mobility Tsinghua UniversityBeijing 100084China Department of Cognitive Robotics Faculty of MechanicalMaritime and Materials Engineering(3mE)Delft University of TechnologyDelft 2628Netherlands Department of Software Technology Faculty of Electrical EngineeringMathematics and Computer ScienceDelft University of TechnologyDelft 2628Netherlands Xi’an Institute of High-Technology Xi’an 710051China

This study presents a general optimal trajectory planning(GOTP)framework for autonomous vehicles(AVs)that can effectively avoid obstacles and guide AVs to complete driving tasks safely and ***,we employ the fifth-order Bezier curve to generate and smooth the reference path along the road *** coordinates are then transformed to achieve the curvature continuity of the generated *** the road constraints and vehicle dynamics,limited polynomial candidate trajectories are generated and smoothed in a curvilinear coordinate ***,in selecting the optimal trajectory,we develop a unified and auto-tune objective function based on the principle of least action by employing AVs to simulate drivers’behavior and summarizing their manipulation characteristics of“seeking benefits and avoiding losses.”Finally,by integrating the idea of receding-horizon optimization,the proposed framework is achieved by considering dynamic multi-performance objectives and selecting trajectories that satisfy feasibility,optimality,and *** simulations and experiments are performed,and the results demonstrate the framework’s feasibility and effectiveness,which avoids both dynamic and static obstacles and applies to various scenarios with multi-source interactive traffic ***,we prove that the proposed method can guarantee real-time planning and safety requirements compared to drivers’manipulation.

关键词： Autonomous vehicle Trajectory planning Multi-performance objectives Principle of least action

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An Intelligent Movies Recommendation System Based Facial Attributes Using Machine Learning 3

An Intelligent Movies Recommendation System Based Facial Att...

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3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023

作者： Balfaqih, Mohammed Altwaim, Abdullah Almohammedi, Akram A. Yusof, Mohammad Hafiz Mohd College of Computer Science and Engineering University of Jeddah Department of Computer and Network Engineering Jeddah23890 Saudi Arabia Karabük University Electrical & Electronic Engineering Department 78050 Turkey Universiti Teknologi Mara UiTM Faculty of Computer and Mathematical Sciences Tapah Malaysia

ISBN: (纸本)9798350305333

Movie theaters and platforms offer a wide selection of movies that require filtering to match the preferences of individual users. Recommender systems are an effective tool for this task. This study introduces a hybrid recommender system that combines collaborative filtering and content-based approaches to provide personalized movie recommendations. The proposed system considers age, gender, emotion, and genre attributes to ensure the suitability of the recommended movies. The proposed system targets the visitors of cinema theaters to try a new experience of choosing the next movie to watch by recognizing the visitor's face to determine his/her age, gender and emotion using camera. Therefore, our system is expected to achieve better results than traditional approaches. The system's performance is evaluated using standard metrics such as precision, recall, and F1-measure. The findings indicated that the proposed system outperforms the benchmark system in the most tested scenarios. However, the precision of the benchmark work is slightly higher in (8-14 and 15-24) age groups. © 2023 IEEE.

关键词： Face recognition

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Deep Learning-Based Approach for Arabic Visual Speech Recognition

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computers, Materials & Continua 2022年第4期71卷 85-108页

作者： Nadia H.Alsulami Amani T.Jamal Lamiaa A.Elrefaei Computer Science Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Electrical Engineering Department Faculty of Engineering at ShoubraBenha UniversityCairo11629Egypt

Lip-reading technologies are rapidly progressing following the breakthrough of deep *** plays a vital role in its many applications,such as:human-machine communication practices or security *** this paper,we propose to develop an effective lip-reading recognition model for Arabic visual speech recognition by implementing deep learning *** Arabic visual datasets that have been collected contains 2400 records of Arabic digits and 960 records of Arabic phrases from 24 native *** primary purpose is to provide a high-performance model in terms of enhancing the preprocessing ***,we extract keyframes from our ***,we produce a Concatenated Frame Images(CFIs)that represent the utterance sequence in one single ***,the VGG-19 is employed for visual features extraction in our proposed *** have examined different keyframes:10,15,and 20 for comparing two types of approaches in the proposed model:(1)the VGG-19 base model and(2)VGG-19 base model with batch *** results show that the second approach achieves greater accuracy:94%for digit recognition,97%for phrase recognition,and 93%for digits and phrases recognition in the test ***,our proposed model is superior to models based on CFIs input.

关键词： Convolutional neural network deep learning lip reading transfer learning visual speech recognition

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Remote Health Monitoring Using IoT-Based Smart Wireless Body Area Network

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computers, Materials & Continua 2021年第8期68卷 2499-2513页

作者： Farhan Aadil Bilal Mehmood Najam Ul Hasan Sangsoon Lim Sadia Ejaz Noor Zaman Computer Science Department COMSATS University IslamabadAttock Campus43600Pakistan Department of Electrical and Computer Engineering Dhofar UniversitySalalahOman Department of Computer Engineering Sungkyul UniversityAnyang430010Korea School of Computer Science and Engineering(SCE) Taylor’s UniversityMalaysia

A wireless body area network(WBAN)consists of tiny healthmonitoring sensors implanted in or placed on the human *** sensors are used to collect and communicate human medical and physiological data and represent a subset of the Internet of Things(IoT)*** are connected to medical servers that monitor patients’*** type of network can protect critical patients’lives due to the ability to monitor patients’health continuously and *** inter-WBAN communication provides a dynamic environment for patients allowing them to move ***,during patient movement,the WBAN patient nodes may become out of range of a remote base ***,to handle this problem,an efficient method for inter-WBAN communication is *** this study,a method using a cluster-based routing technique is *** the proposed method,a cluster head(CH)acts as a gateway between the cluster members and the external network,which helps to reduce the network’s *** clustering,the cluster’s lifetime is a vital parameter for network ***,to optimize the CH’s selection process,three evolutionary algorithms are employed,namely,the ant colony optimization(ACO),multi-objective particle swarm optimization(MOPSO),and the comprehensive learning particle swarm optimization(CLPSO).The performance of the proposed method is verified by extensive experiments by varying values of different parameters,including the transmission range,node number,node mobility,and grid size.A comprehensive comparative analysis of the three algorithms is conducted by extensive *** results show that,compared with the other methods,the proposed ACO-based method can form clusters more efficiently and increase network lifetime,thus achieving remarkable network and energy *** proposed ACO-based technique can also be used in other types of ad-hoc networks as well.

关键词： Wireless body area network clustering internet of things evolutionary algorithm ant colony optimization

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Communication-Efficient and Privacy-Preserving Edge-Cloud Framework For Smart Healthcare

Communication-Efficient and Privacy-Preserving Edge-Cloud Fr...

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2023 IEEE Globecom Workshops, GC Wkshps 2023

作者： Mpembele, Armando B. Rogers, Tamara Ghosh, Uttam Shetty, Sachin Tennessee State University Department of Computer Science NashvilleTN37209 United States Meharry Medical College Department of Computer Science and Data Science NashvilleTN37203 United States Old Dominion University Electrical Engineering Department NorfolkVA23529 United States

ISBN: (纸本)9798350370218

The healthcare industry has experienced a re-markable digital transformation through the adoption of IoT technologies, resulting in a significant increase in the volume and variety of medical data generated. Challenges in processing, analyzing, and sharing healthcare data persist. Traditional cloud computing approaches, while useful for processing healthcare data, have drawbacks, including delays in data transfer, data privacy concerns, and the risk of data unavailability. In this paper, we propose a software-defined 5G and AI-enabled distributed edge-cloud collaboration platform to classify healthcare data at the edge devices, facilitate realtime service delivery, and create AI/ML-based models for identifying patients' potential medical conditions. In our architecture, we have incorporated a federated learning scheme based on homomorphic encryption to provide privacy in data sharing and processing. The proposed framework ensures secure and efficient data communication and processing, ultimately fostering effective collaboration among healthcare institutions. The models will be validated by performing a comparative time analysis, and the interplay between edge and cloud computing will be investigated to support realtime healthcare applications. © 2023 IEEE.

关键词： 5G SDN Cloud Computing Edge Computing Federated Learning Healthcare IoT Privacy

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IoT-Based Driving Pattern Analysis and Engine Sensor Damage Prediction Using Onboard Diagnostics 3rd

IoT-Based Driving Pattern Analysis and Engine Sensor Damage ...

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3rd International Conference on Mobile Radio Communications and 5G Networks, MRCN 2022

作者： Abhinand Krishna, K.K. Bavos, Abhinav Thomas, Ashak Achankunju Joseph, Jerin John, Siju Kumar, S.N. Department of Computer Science and Engineering Amal Jyothi College of Engineering Kerala Kottayam India Department of Electrical and Electronics Engineering Amal Jyothi College of Engineering Kerala Kottayam India

ISBN: (纸本)9789811979811

Car diagnostic tools use sophisticated software to quickly and accurately identify problem areas in a car’s engine or elsewhere. The adaptation from mechanical systems to electrical paved the way for much research in the area of vehicle monitoring through a server. Although many studies focus on the tracking of vehicles, fault detection has also gained considerable attention. From our background study, we noticed that most of the systems currently available display the data from OBD and do not perform any functions using that data. We propose a machine learning-based driving pattern analysis and sensor damage prediction system using the data collected from an Onboard Diagnostics (OBD) port. Our system consists of an ELM327 adapter to read data from an OBD port, a mobile application, and a cloud backend. Using the time series data collected, we perform driving pattern analysis and sensor damage detection from the backend server. The smartphone application makes the findings of these analyses visible. The findings can be accessed by the drivers directly via the smartphone app. Drivers are notified of alerts created in the backend as a result of unfavorable conditions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Damage detection

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MANUFACTURABILITY OF PROTEIN-REINFORCED FOODS WITH OVERHANG DESIGNS

MANUFACTURABILITY OF PROTEIN-REINFORCED FOODS WITH OVERHANG ...

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ASME 2024 International Design engineering Technical Conferences and computers and Information in engineering Conference, IDETC-CIE 2024

作者： Khalil, Md Ibrahim Maleky, Farnaz Pal, Ranadip Egan, Paul F. Department of Mechanical Engineering Texas Tech University United States Department of Food Science and Technology Ohio State University United States Department of Electrical & Computer Engineering Texas Tech University United States

ISBN: (纸本)9780791888391

Printing overhanging designs in additive manufacturing presents considerable challenges, particularly for soft materials printing applications such as food. The principal hurdles lie in designing a food ink that ensures extrudability while also maintaining its shape after printing. This study investigates the impact of overhanging angles on the shape fidelity of printed samples and how the properties of the food ink composition influence structural stability. The investigation focuses on overhanging designs at various angles (0°, 30°, and 60°). Different ratios of mashed potato and pea protein mixtures were studied including 100% mashed potato, a blend of 50% mashed potato and 50% pea protein, and 100% pea protein mixtures. The food ink mixtures were characterized by measuring pH, moisture content, and firmness. Results showed the potato-only mixture (86% moisture content, 0.55 N firmness) exhibited significant shape distortion at higher overhanging angles. However, the equal percentage mixture of mashed potato and pea protein mixtures (81% moisture, 1.46 N firmness) maintained fidelity even at 60° angles. The enhanced dimensional precision of the potato-pea mixture demonstrates how tailored compositional tuning, informed by moisture and texture analysis, can improve shape fidelity for 3D printed overhanging geometries through improved structural stability. Copyright © 2024 by ASME.

关键词： Proteins Texture (Materials) Inks Structural stability Shapes Printing Food products Additive manufacturing Design

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