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Energy Efficient Green Routing for UAVs Ad-Hoc Network

Intelligent Automation & Soft Computing 2023年第7期37卷 1111-1127页

作者： M.Muthukumar Rajasekar Rangasamy Irshad Hussain Salman A.AlQahtani Department of Computer Science and Engineering Sree Sowdambika College of EngineeringTamil NaduIndia Department of Computer Science and Engineering-AI&ML School of EngineeringMalla Reddy UniversityHyderabadIndia Faculty of Electrical and Computer Engineering University of Engineering and Technology Peshawar25000PeshawarPakistan Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Kingdom of Saudi Arabia

The purpose of this article is to propose Stability-based Energy-Efficient Link-State Hybrid Routing(S-ELHR),a low latency routing proto-col that aims to provide a stable mechanism for routing in unmanned aerial vehicles(UAV).The S-ELHR protocol selects a number of network nodes to create a Connected Dominating Set(CDS)using a parameter known as the Stability Metric(SM).The SM considers the node’s energy usage,connectivity time,and node’s *** the highest SM nodes are chosen to form *** node declares a Willingness to indicate that it is prepared to serve as a relay for its neighbors,by employing its own energy state.S-ELHR is a hybrid protocol that stores only partial topological information and routing tables on CDS *** of relying on the routing information at each intermediary node,it uses source routing,in which a route is generated on-demand,and data packets contain the addresses of the nodes the packet will transit.A route recovery technique is additionally utilized,which first locates a new route to the destination before forwarding packets along *** simulation for various network sizes and mobility speeds,the efficiency of S-ELHR is *** findings demonstrate that S-ELHR performs better than Optimized Link State Routing(OLSR)and Energy Enhanced OLSR(EE-OLSR)in terms of packet delivery ratio,end-to-end delay,and energy consumption.

关键词： Connected dominatingset hybridrouting UAVAdhocnetworks link state stability

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Temperature Sensor Based on a Plasmonic MIM Waveguide with a Grill-Shaped Cavity 6

Temperature Sensor Based on a Plasmonic MIM Waveguide with a...

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6th Iranian International Conference on Microelectronics, IICM 2024

作者： Ahadi, Mahsa Ghanavati, Mohammad Vahed, Hamid Karami, Mohammad Azim Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran School of Electrical Engineering Iran University of Science and Technology Tehran Iran

ISBN: (纸本)9798331511371

This paper presents the design and simulation of a plasmonic refractive index (RI) sensor and a temperature sensor. The suggested design comprises a MIM waveguide integrated with a grill-shaped rectangular cavity. Simulations were performed for two configurations: one with a solitary cavity and another with two cavities. The RI sensitivity was determined to be 1681.42 nm/RIU. In addition, temperature sensitivity was evaluated by employing two dielectric materials, namely ethanol and polydimethylsiloxane, which exhibited temperature sensitivities of 0.475 nm/°C and 0.67 nm/°C, respectively. The plasmonic sensor being suggested exhibits promising capabilities for utilization in nanosensing and industrial environments. © 2024 IEEE.

关键词： MIM devices

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Lung Cancer Prediction and Risk Assessment: A Machine Learning Approach Integrating Symptoms and Etiological Factors 3

Lung Cancer Prediction and Risk Assessment: A Machine Learni...

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3rd IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things, RAAICON 2024

作者： Hossain Sarkar, Md. Mosharrof Afrin, Sadiha Reza, Md Tuhin Bokshi, Md Abid Hasan Roni Mim, Sharmin Sultana Faridpur Engineering College Department of Computer Science and Engineering Faridpur Bangladesh Faridpur Engineering College Department of Electrical and Electronic Engineering Faridpur Bangladesh

ISBN: (纸本)9798331534400

Lung cancer requires accurate risk assessment and early detection due to its high prevalence and fatality rate. The simultaneous analysis of clinical symptoms and etiological factors using Machine Learning revolutionizes our understanding of lung cancer and patient outcomes. Machine Learning models are built on comprehensive patient data, including lifestyle, symptoms, and 12 variables. We used ten models for precise lung cancer diagnosis, including Decision Tree (DT), K-nearest neighbors (KNN), Support Vector Machine (SVM), Random Forest (RF), Logistic Regression (LR), Naive Bayes (NB), XGBoost, Gradient Boost, CatBoost and AdaBoost. At the National Institute of Cancer Research & Hospital (NICRH) in Mohakhali, TB Gate Road, Dhaka, Bangladesh, we collected 346 data directly from patients using questionnaires, with permission from the director. For every model, we performed parameter tuning to determine the ideal ratio of complexity to accuracy. Notably, with the best accuracy of 98.43% and an excellent area under the curve (AUC) of 0.983, the Decision Tree (DT) performed better than any other classifier. The motivation behind this research is to predict the risk assignment of lung cancer using various machine learning models. © 2024 IEEE.

关键词： Lung cancer

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Aerodynamics-Based Collision-Free Control of Connected Drones in Complex Urban Low-Altitude Airspace Using Distributional Reinforcement Learning

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IEEE Transactions on Vehicular Technology 2024年第7期73卷 9763-9775页

作者： Liao, Bing-Hao Lee, Chao-Yang Wang, Li-Chun National Yang Ming Chiao Tung University Department of Electrical and Computer Engineering Hsinchu City30010 Taiwan National Yunlin University of Science and Technology Department of Computer Science and Information Engineering Yunlin County64002 Taiwan

Recent growth in the number of drones has made traffic management unworkable, particularly in urban areas. The safe operation and optimized navigation of drone swarms are now growing concerns. In this article, we use distributional reinforcement learning to prevent drone collisions via aerodynamic acceleration and deceleration. Although the instantaneous acceleration or deceleration of drones during an encounter influences drone kinematics, we note that drone kinematics itself can prevent collisions via instantaneous acceleration or deceleration. This article's central question, then, is how to take drone kinematics into account to improve air traffic intersection flow performance. First, the intercommunication between drone swarms is established via an Internet of drones to send and receive the current state of each drone in the swarm and detect potential collisions. In the presence of obstacles, we first use distributional reinforcement learning to find the inevitable change in kinematic height and guide descents and ascents through air traffic intersections. Here, the drone's energy consumption during instantaneous acceleration or deceleration cannot be ignored. A properly designed speed control is crucial to the power management of the drone. Distributional reinforcement learning is used to control drone acceleration and deceleration to avoid collision risk while minimizing energy consumption according to the reference energy recorded by each drone. We flew drones to gather energy consumption data and, to validate our approach, we subsequently conducted simulations in which travel time and energy consumption were measured. We demonstrate that the proposed kinematics-based drone collision avoidance method exhibits excellent performance in terms of travel time and power management. © 1967-2012 IEEE.

关键词： Kinematics

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Recovery Strategy of Wind Turbine for Frequency Regulation Considering Wind Condition 3

Recovery Strategy of Wind Turbine for Frequency Regulation C...

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3rd International Conference on Energy, Power and electrical Technology, ICEPET 2024

作者： Xin, Zhipeng Zhang, Feng Sun, Kexu Cornélusse, Bertrand Shandong University School of Electrical Engineering Jinan China University of Liege Department of Electrical Engineering and Computer Science Liège Belgium

ISBN: (纸本)9798350352658

The traditional recovery strategy of wind turbines after frequency regulation generally sets the wind speed unchanged during the frequency recovery period, during which while the wind speed has random volatility and has an impact on the overall wind power. For this reason, a staged frequency recovery strategy for wind turbines adapted to the random change of wind speed is proposed. Specifically, a high level of power support is provided by the wind power at the early stage to inhibit the rapid fall of frequency, and the wind speed is regarded as constant due to the relatively short control time. At the middle stage, wind power carries out continuous frequency support, continuously feeding back random wind speed information and iteratively updating control parameters, and then cooperates with synchronous machine frequency response for smooth action. The last stage is the wind turbine speed recovery phase, divided into several time intervals, and the speed recovery parameters are adjusted to adapt to the random wind speed changes, and weaken the frequency secondary drop caused by the wind power withdrawal. Finally, the effectiveness of the proposed strategy is verified in simulation part. © 2024 IEEE.

关键词： Windmill

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Adversarial Geometric Attacks for 3D Point Cloud Object Tracking

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IEEE Transactions on Multimedia 2025年 27卷 3144-3157页

作者： Yao, Rui Zhang, Anqi Zhou, Yong Zhao, Jiaqi Liu, Bing El Saddik, Abdulmotaleb China University of Mining and Technology School of Computer Science and Technology Mine Digitization Engineering Research Center of the Ministry of Education Xuzhou221116 China University of Ottawa School of Electrical Engineering and Computer Science OttawaONK1N 6N5 Canada

3D point cloud object tracking (3D PCOT) plays a vital role in applications such as autonomous driving and robotics. Adversarial attacks offer a promising approach to enhance the robustness and security of tracking models. However, existing adversarial attack methods for 3D PCOT seldom leverage the geometric structure of point clouds and often overlook the transferability of attack strategies. To address these limitations, this paper proposes an adversarial geometric attack method tailored for 3D PCOT, which includes a point perturbation attack module (non-isometric transformation) and a rotation attack module (isometric transformation). First, we introduce a curvature-aware point perturbation attack module that enhances local transformations by applying normal perturbations to critical points identified through geometric features such as curvature and entropy. Second, we design a Thompson sampling-based rotation attack module that applies subtle global rotations to the point cloud, introducing tracking errors while maintaining imperceptibility. Additionally, we design a fused loss function to iteratively optimize the point cloud within the search region, generating adversarially perturbed samples. The proposed method is evaluated on multiple 3D PCOT models and validated through black-box tracking experiments on benchmarks. For P2B, white-box attacks on KITTI reduce the success rate from 53.3% to 29.6% and precision from 68.4% to 37.1%. On NuScenes, the success rate drops from 39.0% to 27.6%, and precision from 39.9 to 26.8%. Black-box attacks show a transferability, with BAT showing a maximum 47.0% drop in success rate and 47.2% in precision on KITTI, and a maximum 22.5% and 27.0% on NuScenes. © 1999-2012 IEEE.

关键词： Iterative methods

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An Optimal Speed Control Stratergy for Brushless DC Motor Drive in EV Applications 18

An Optimal Speed Control Stratergy for Brushless DC Motor Dr...

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18th INDIAcom;11th International Conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Devi Vighneshwari, B. Raichel Ruby, M. Sumitha, T.L. Resna, S.R. Jayakumar, N. Kumar, Saravana The Oxford College Engineering Department of Electrical and Electronics Engineering Bengaluru India The Oxford College Engineering Department of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9789380544519

Because of their high torque, high power density, and appropriate speed range, brushless DC (BLDC) motors are the top choice for lightweight electric vehicles. The application's goal is to use a Hall position sensor to build a speed-closed loop BLDC driver. The Enhanced Exploration of Aquila optimized control for speed in brushless DC motor is presented in this study as a new conceptual upgrade of Aquila optimization. In this study we employ and optimization - driven methodology to fine tune both the PI speed and voltage controllers, where the objective function is centered on minimizing errors. We evaluate the performance of our approach in contrast to a system utilizing AO optimization. When compared to the existing optimization of the PI controller, MATLAB simulation results reveal that the suggested optimized controller is more effective in the time domain performance. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： Aquila Optimization(AO) Brushless DC motor Electric Vehicle Enhanced Exploration of Aquilla Optimization (EEAO) PI controller Speed controller Voltage controller

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Visual Question Answering with Cascade of Self- and Co-Attention Blocks 27th

Visual Question Answering with Cascade of Self- and Co-At...

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27th International Conference on Pattern Recognition, ICPR 2024

作者： Mishra, Aakansha Anand, Ashish Guha, Prithwijit Department of Computer Science and Engineering IIT Guwahati Guwahati India Department of Electrical Engineering IIT Guwahati Guwahati India

ISBN: (纸本)9783031784941

Recent advancements in Visual Question Answering (VQA) have been driven by the integration of complex attention mechanisms. This work introduces a novel approach aimed at enhancing multi-modal representations through dense interactions between visual and textual inputs in an alternating fashion. The proposed model features an attention framework that incorporates both self-attention and co-attention mechanisms, strategically applied to image and text modalities. Self-attention modules capture contextual dependencies among objects in images and words in questions, crucial for accurate inference of answers. Meanwhile, co-attention mechanisms facilitate effective cross-modal interactions between images and text. To extract fine-grained information from both modalities, we introduce a Cascade of Self- and Co-Attention blocks (CSCA). This architecture is evaluated extensively on prominent benchmarks including VQA2.0, TDIUC, and GQA datasets. Experimental results, including comprehensive ablation studies, highlight the effectiveness of the model’s key components and the cascading nature of attention mechanisms in enhancing performance across diverse VQA tasks. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Question answering

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Enhanced photoluminescence of monolayer MoS_(2)on stepped gold structure

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Chinese Physics B 2022年第8期31卷 639-644页

作者： Yu-Chun Liu Xin Tan Tian-Ci Shen Fu-Xing Gu School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghai 200093China

Different Mo S_(2)/Au heterostructures can play an important role in tuning the photoluminescence(PL)and optoelectrical properties of monolayer Mo S_(2).Previous studies of PL of Mo S_(2)/Au heterostructures were mainly limited to the PL enhancement by using different Au nanostructures and PL quenching of monolayer Mo S_(2)on flat Au ***,we demonstrate the enhanced excitonic PL emissions of monolayer Mo S_(2)/Au heterostructures on Si/Si O_(2)*** transferring the continuous monolayer Mo S_(2)onto a stepped Au structure consisting of 60-nm and 100-nm Au films,the Mo S_(2)/Au-60 and Mo S_(2)/Au-100 heterostructures exhibit enhanced PL emissions,each with a blue-shifted PL peak in comparison with the Mo S_(2)/Si O_(2).Furthermore,the PL intensity of Mo S_(2)/Au-60 is about twice larger than that of Mo S_(2)/*** different enhanced excitonic PL emissions in Mo S_(2)/Au heterostructures can be attributed to the different charge transfer effects modified by the stepped Au *** work may provide an insight into the excitonic PL and charge transfer effect of Mo S_(2)on Au film and yield novel phenomena in Mo S_(2)/Au heterostructures for further study of PL tuning and optoelectrical properties.

关键词： MoS_(2) stepped gold heterostructures enhanced photoluminescence

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Intelligent Channel Impulse Response Feature Prediction in Underwater Acoustic Networks 15

Intelligent Channel Impulse Response Feature Prediction in U...

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15th International Conference on Information and Communication Technology Convergence, ICTC 2024

作者： Yun, Sinwoong Lee, Jemin Department of Electrical Engineering and Computer Science Daegu Korea Republic of School of Electrical and Electronic Engineering Yonsei University Seoul Korea Republic of

ISBN: (纸本)9798350364637

In this paper, we develop an intelligent channel im-pulse response (CIR) feature prediction algorithm in underwater networks. To this end, we first extract the major features, i.e., CIR values and tap distances, from raw CIR. Then, we implement a feature prediction module by adopting the time-series forecasting learning algorithm. Through the simulation results, we verify the prediction accuracy of the proposed algorithm with the normalized mean square error (NMSE) loss curve. © 2024 IEEE.

关键词： Prediction models

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