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2023 International Conference on Recent Advances in science and engineering Technology, ICRASET 2023

作者： Varshitha, D.N. Shreya, B.S. Nidhi Shree, S.P. Vinutha, D.C. Gourav, R. Chetan, P. Mysuru India Vidyavardhaka College of Engineering Computer Science Engineering Department Mysuru India Vidyavardhaka College of Engineering Mechanical Engineering Department Mysuru India

ISBN: (纸本)9798350306927

The necessity for students to carry heavy backpacks, laden with books and study materials, is prevalent in numerous educational institutions worldwide, particularly in remote areas where walking long distances is common. However, this practice poses significant health risks, leading to issues like improper posture, neck, shoulder, and back strain, and potentially severe spinal damage. To address these concerns, our study proposes an IoT-based solution. Utilizing components such as Arduino 101 processing board, a Bluetooth module, accelerometers, force-sensitive resistors, backpacks, and a mobile application, our solution aims to alert students when their backpack weight exceeds a predetermined threshold. This paper discusses the methodology, results, and relevant literature associated with our proposed solution. © 2023 IEEE.

关键词： Accelerometers

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A Simple Dynamic Controller for Emulating Human Balance Control 12th

A Simple Dynamic Controller for Emulating Human Balance Cont...

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Proceedings of the 12th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2023

作者： McNeal, J. Stu Hunt, Alexander Department of Mechanical and Materials Engineering Maseeh College of Engineering and Computer Science Portland State University PortlandOR97201 United States

ISBN: (纸本)9783031395031

This paper presents a biologically inspired control system developed for maintaining balance in a simulated human atop an oscillating platform. This work advances our previous research by adapting a human balance controller to an inverted pendulum and controlled by linear-Hill muscle models. To expedite neuron/synapse parameter value selection, we employ a novel two-stage process that pairs a previously developed analytic method with particle swarm optimization. Using the parameter values found analytically as inputs for particle swarm optimization (PSO), we take advantage of the benefits of each method while avoiding their pitfalls. Our results show that PSO optimization allowed improved balance control from modest ( © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Inverted pendulum

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Optimizing Parachute Payload Delivery through Wind Gust Analysis

Optimizing Parachute Payload Delivery through Wind Gust Anal...

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AIAA science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Ho, Franklin D.-K. Lomax, John C. Mueller, Mark W. Department of Mechanical Engineering University of California BerkeleyCA94720 United States Department of Electrical Engineering and Computer Science University of California BerkeleyCA94720 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

Precision payload delivery methods currently involve a winch to lower a payload attached to a cable or an actuated parachute with a closed-loop control system to adjust the trajectory of the payload. We propose a novel, entirely passive parachute-deployed payload delivery system that overcomes the challenges of wind gusts blowing payloads off-course. Preliminary testing indicates that parachutes are capable of landing two meters from a target, while numerical simulations of ideal conditions show a one-meter precision level. In this paper, we propose statistical analysis and time series analysis of wind behavior to account for the stochastic, gusty nature of wind. We also present methods to study the aerodynamic properties of the parachute-payload system and a kinematic analysis of how the parachute moves horizontally and vertically. We also show the theoretical implementation of in-situ wind velocity measurements by extrapolating drone disturbances during flight. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Stochastic systems

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Smart Agri Guide

Smart Agri Guide

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2023 Intelligent Computing and Control for engineering and Business Systems, ICCEBS 2023

作者： Kavitha, D. Desigan, M. Subanandham, E.R. Madhan, H. Latha, K. Hemavathi, S. Sri Sairam Engineering College Department of Computer Science and Engineering Chennai India Sri Sairam Engineering College Department of Mechanical Engineering Chennai India

ISBN: (纸本)9798350394580

Access to accurate and current information is essential given how quickly the agriculture industry is changing. For farmers, researchers, students, and hobbyists, the suggested solution offers a wealth of information about diverse crops, cultivation methods, and the worldwide agricultural scene. Our website offers a user-friendly platform with detailed articles, pictures, and information about a variety of crops, from common ones like wheat, rice, and maize to uncommon variants and specialty crops. View in-depth profiles that cover the history, geography, growing requirements, and harvesting techniques of various crops. The website goes beyond the fundamentals, exploring modern advancements in agricultural technology, pest and disease management, and sustainable farming methods. The program serves as the entrance to a growing online market for agricultural crops that connects farmers, suppliers, and customers. The application gives a ground-breaking platform that alters how agricultural products are purchased and sold. Farmers and producers may easily advertise their produce, get in touch with new customers, and broaden their market. By offering capabilities for inventory management, price tactics, and logistical assistance, the program streamlines the selling process. © 2023 IEEE.

关键词： agriculture disease management sustainable farming website

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Individualizable Risk Assessment Map for Planning Automated Vehicle Behaviors Respecting Perceived Safety 27

Individualizable Risk Assessment Map for Planning Automated ...

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27th IEEE International Conference on Intelligent Transportation Systems, ITSC 2024

作者： Park, Ji Hwan Zhang, Yanze Luo, Wenhao Wang, Junmin The University of Texas at Austin Department of Mechanical Engineering United States University of North Carolina at Charlotte Department of Computer Science United States

ISBN: (纸本)9798331505929

With the continual introduction of various vehicle automation functions and algorithms, the heterogeneity of human, human-machine, and machine autonomy associated with the vehicles on the roads elevates as well. Ensuring vehicles of heterogeneous autonomy to safely and harmoniously share the roads is important for the interests of driving safety, traffic throughput, and human acceptance of autonomy. Particularly due to the wide range of variations in human perceived safety and risk in driving, empowering the vehicle intelligence to accurately understand the perceived risk by other surrounding vehicles is a critical step towards harmonious road sharing. In this paper, we present an individualizable risk assessment model (IRAM) that can empower vehicles to compute the risk maps that individual drivers perceive from the driving behaviors of other surrounding vehicles on a shared road. The IRAM offers a realistic risk assessment map around a vehicle by integrating the relative motions between pertinent vehicles and drivers' perceived safety preferences. A naturalistic human driving dataset, NGSIM, was utilized to evaluate the risk map generation by the proposed IRAM. The IRAM can be used for planning vehicle behaviors, such as its path and motion, that respect the different perceived safety of its surrounding vehicles' human/machine drivers. © 2024 IEEE.

关键词： Vehicle safety

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Auxiliary-Variable Adaptive Control Lyapunov Barrier Functions for Spatio-Temporally Constrained Safety-Critical Applications 63

Auxiliary-Variable Adaptive Control Lyapunov Barrier Functio...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Liu, Shuo Xiao, Wei Belta, Calin A. Boston University Department of Mechanical Engineering BrooklineMA United States Massachusetts Institute of Technology Computer Science and Artificial Intelligence Lab CambridgeMA United States University of Maryland College Park Department of Electrical and Computer Engineering and the Department of Computer Science MD United States

ISBN: (纸本)9798350316339

Recent work has shown that stabilizing an affine control system while optimizing a quadratic cost subject to state and control constraints can be mapped to a sequence of Quadratic Programs (QPs) using Control Barrier Functions (CBFs) and Control Lyapunov Functions (CLFs). One of the main challenges in this method is that the QPs could easily become infeasible under safety and spatio-temporal constraints with tight control bounds. In our own recent work, we defined Auxiliary-Variable Adaptive CBFs (AVCBFs) to improve the feasibility of the CBF-based QP, while avoiding extensive parameter tuning. In this paper, we consider spatio-temporal constraints as finite-time reachability requirements. In order to satisfy these requirements, we generalize AVCBFs to AuxiliaryVariable Adaptive Control Lyapunov Barrier Functions (AVCLBFs) that work for systems and constraints with arbitrary relative degrees. We show that our method has fewer conflicts with safety and input constraints, and outperforms the state of the art in term of adaptivity and feasibility in solving the QP. We illustrate our approach on an optimal control problem for a unicycle. © 2024 IEEE.

关键词： Lyapunov functions

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Change of Electrical and Transport Properties of Nickel Oxide by Carrier Concentration and Temperature through First‑Principle Calculations

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Nanomanufacturing and Metrology 2023年第4期6卷 109-118页

作者： Nayem Md.Reza Shah Chang‑Dong Yeo Minyeong Choi Yang‑Ki Hong Jeong H.You Department of Mechanical Engineering Texas Tech UniversityLubbockTX 79409USA Department of Electrical and Computer Engineering and Material Science Ph.D.Program The University of AlabamaTuscaloosaAL 35487USA Department of Mechanical Engineering School of EngineeringUniversity of St.ThomasSt.PaulMN 55105USA

Nickel is typically used as one of the main components in electrical contact devices or *** oxide(NiO)is usually formed on the surfaces of electrodes and can negatively impact system performance by introducing electrical contact *** thermal,electrical,and transport properties of NiO,as a Mott insulator or a p-type semiconductor,can be altered by operating and environmental conditions such as temperature and stress/strain by *** this study,we inves-tigate the fundamental material properties of NiO through the first-principle ***,we obtain and compare the lattice parameter,magnetic moment,and electronic structure for NiO via the WIEN2K simulations with four different poten-tials(i.e.,GGA,GGA+U,LSDA,and LSDA+U).Then,using the WIEN2K simulation results with LSDA+U potential that produces a highly accurate bandgap for NiO,we calculate the electrical conductivity and electrical part of the thermal conductivity of nickel and NiO as a function of temperature and carrier concentration through the BoltzTraP *** simulation results revealed that the electrical conductivity relative to the relaxation time for NiO increases with the carrier concentration,while it shows a slightly decreasing trend with temperature under a fixed carrier *** contrast,the electrical part of the thermal conductivity shows an increasing trend considering carrier concentration and temperature.

关键词： Nickel oxide Magnetic moments Density of states Seebeck coefcient Electrical conductivity

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Research on the Application of YOLOv8 Model Based on ODConv and SAHI Optimization in Dense Small Target Crowd Detection 2

Research on the Application of YOLOv8 Model Based on ODConv ...

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2nd IEEE International Conference on Control, Electronics and computer Technology, ICCECT 2024

作者： Guan, Xiaotao Guan, Zifan Zhu, Sicaiyu Chen, Bingcai School of Computer Science and Technology Dalian University of Technology Dalian China School of Mechanical Engineering Dalian University of Technology Dalian China

ISBN: (纸本)9798350380958

In view of the wide application of dense small target population detection technology in many fields such as traffic management, emergency response, and commercial applications, it is necessary to improve the accuracy and timeliness of relevant models. In order to solve this problem, this paper proposes a new lightweight and efficient dense small target population detection algorithm based on YOLOv8: ODConv2-YOLO-SAHI. The ODConv dynamic convolution module is embedded into the backbone network of YOLOv8, which enhances the adaptability of the model to the diversity of input data and reduces the computational cost of the model. The ODConv multi-dimensional attention mechanism was introduced to improve the model's ability to extract individual features of small targets by learning complementary attention in multiple dimensions along the kernel space. In the process of model inference, the slicing aided hyper inference mechanism (SAHI) was introduced to improve the small target detection capability of the model. Experimental results show that ODConv2-YOLO with only ODConv dynamic convolution module and ODConv multi-dimensional attention mechanism improves the detection accuracy by 2.1 % compared with YOLOv8n, while the parameter quantity and computational amount are only 2.8M and 7.3GFLOPs;After adding SAHI mechanism, the performance of the ODConv2-YOLO-SAHI model is improved by about 25% compared with YOLOV8n in the average number of detected small target individuals, which better meets the needs of high detection accuracy and low computing power for dense small target crowds in field scenarios. © 2024 IEEE.

关键词： Convolution

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Color Recognition in Challenging Lighting Environments: CNN Approach 9

Color Recognition in Challenging Lighting Environments: CNN ...

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9th IEEE International Conference for Convergence in Technology, I2CT 2024

作者： Maitlo, Nizamuddin Noonari, Nooruddin Ghanghro, Sajid Ahmed Duraisamy, Sathishkumar Ahmed, Fayaz Sukkur Iba University Department of Computer Science Sukkur Pakistan Iba Community College Department of Computer Science Naushahro Feroze Sindh Pakistan Saitama University Depeartment of Computer Science Japan S.A.LU Sindh Khairpur Pakistan Kathir College of Engineering Department of Mechanical Engineering Tamilnadu India S.A.LU Institute of Computer Science Sindh Khairpur Pakistan

ISBN: (纸本)9798350394474

Light plays a vital role in vision either human or machine vision, the perceived color is always based on the lighting conditions of the surroundings. Researchers are working to enhance the color detection techniques for the application of computer vision. They have implemented proposed several methods using different color detection approaches but still, there is a gap that can be *** address this issue, a color detection method, which is based on a Convolutional Neural Network (CNN), is proposed. Firstly, image segmentation is performed using the edge detection segmentation technique to specify the object and then the segmented object is fed to the Convolutional Neural Network trained to detect the color of an object in different lighting conditions. It is experimentally verified that our method can substantially enhance the robustness of color detection in different lighting conditions, and our method performed better results than existing methods. © 2024 IEEE.

关键词： Image segmentation

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Rough Set Theoretic Approach for Solving the Multi-Armed Bandit Problems 27th

Rough Set Theoretic Approach for Solving the Multi-Armed B...

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27th International Conference on Pattern Recognition, ICPR 2024

作者： Paidi, Avinash Jagravi, Istapriya Mitra, Pabitra Centre of Excellence in Artificial Intelligence IIT Kharagpur Kharagpur India Department of Mechanical Engineering IIT Kharagpur Kharagpur India Computer Science and Engineering IIT Kharagpur Kharagpur India

ISBN: (纸本)9783031781889

We propose a Rough set-theoretic approach for solving the stochastic Multi-Armed Bandit (MAB) problems. The proposed approach is a modification to the Epsilon-greedy (ϵ-greedy) algorithm used to solve the stochastic multi-armed bandit problems. In our proposed approach, initially, we randomly explore all the arms for some time steps to gather basic reward data for each arm. Using this collected basic reward data, rough estimates of the expected rewards of the arms are calculated. Based on the rough estimates of the expected rewards of all the arms, we partition the arms into three parts following the principles of rough set theory. In the subsequent time steps, different exploration rates are used for different partitions to guide arm selection, to balance between exploring new options and exploiting known performers. We periodically update each arm’s estimated mean reward and re-partition them into three parts following a defined process. We continuously monitor for stability in the reward structure of the problem and adaptively adjust the exploration-exploitation balance in response. As the algorithm progresses, the arms with the potential to become the best arm are identified and the exploration is narrowed, which leads to a concentration of effort on arms that consistently yield higher rewards, leaving out the other arms. This strategic selection of arms directs the exploration toward the most promising arms, enhancing the efficiency of the learning process, which is proved with the support of the experimental results. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Stochastic systems

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