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Statistical analysis of periodic MHD chemically radiative casson flow over an inclined cylinder with entropy optimization

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Heliyon 2024年第22期10卷 e40021页

作者： Yousuf Ali, Md. Rahman, Mizanur Multidisciplinary Action Research (MARS) Lab Department of Computer Science and Engineering Daffodil International University Dhaka Bangladesh

Statistical analysis (SA) stands as an indispensable tool in materials science and engineering, aiding in the understanding and optimization of heat and mass transport processes. This study delves into the interplay between periodic magneto-hydrodynamics (MHD) and chemical reactions concerning entropy generation over an inclined porous cylinder (IPC). We employ a statistical approach, amalgamating the robust 6th order Runge-Kutta (R-K) integration algorithm with the Nachtsheim-Swigert (N-S) shooting iteration method, subsequent to converting the governing equations into Ordinary Differential Equation (ODE) form. The primary objective of this study is to analyze the behavior of entropy generation, unveiling the intricate relationship between entropy dynamics, radiative periodic MHD on IPC, and chemical processes. The numerical findings encapsulate the dynamics of temperature, velocity, and entropy generation, visually portrayed across various dimensionless parameters. The primary findings of this investigation indicate that Casson fluid flow generates 18.99 % more entropy in comparison to Newtonian fluid flow. Furthermore, entropy is 9.87 % larger in an inclined cylinder than in a level cylinder. In contrast, entropy production falls by 3.34 % in the presence of periodic MHD as opposed to non-periodic MHD. Regression study reveals a genuine and significant interaction between variables inside the entropy-generating systems, as well, with a correlation value (R²) of 99.82 % at a 95 % confidence level. The correlation study shows that there is a significant 98.13 % relationship between entropy generation and chemical processes. Understanding the heightened entropy associated with Casson fluid flow benefits tissue engineering, drug delivery systems, and renewable energy. Increased entropy in inclined cylinders aids in optimizing drainage systems, pipeline design, and aerodynamic efficiency in aerospace engineering. © 2024 The Authors

关键词： Casson fluid Chemical reaction Entropy generation Periodic MHD Statistical analysis Thermal radiation

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Predicting Pre-Owned Bike Values with Machine Learning Techniques in Bangladesh

Predicting Pre-Owned Bike Values with Machine Learning Techn...

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Data science and Network Security (ICDSNS), International Conference on

作者： Kazi Hassanul Ferdous Md.Shohel Arman Kazi Rifat Ahmed Nusrat Tasnim Imran Mahmud P. Revathi Department of Software Engineering DIU Data Science Lab Daffodil International University Dhaka Bangladesh Department of Computer Science Holy Cross College Tiruchirapalli Tamilnadu India

ISBN: (数字)9798350373110

ISBN: (纸本)9798350373127

As the importance of sustainable practices in the automobile sector grows, it's critical to anticipate motorcycle prices and offerings. With so many variables to consider when buying a secondhand motorcycle-condition, mileage, brand reputation, model characteristics, etc.-accurate pricing prediction is essential for both customers looking for good values and sellers hoping to maximize profits. This study investigates the effectiveness of four machine learning techniques Decision Tree models, Support Vector Regression (SVR), K-Nearest Neighbors (KNN), and Stochastic Gradient Descent (SGD) Regressions-in predicting motorcycle prices using a dataset obtained from motorcycle merchants. It's noteworthy that these methods are used with a hybrid architecture to improve prediction accuracy. Different approaches are compared and contrasted to find the best fit for the given dataset, and the difficulties and roadblocks that come with them are also discussed. After extensive testing, the decision tree model's effectiveness is shown with an amazing 97% accuracy rate, providing accurate price estimates that are essential for encouraging sustainable habits in the ever-changing Internet of Things environment. With an impressive accuracy rate, this methodology provides precise pricing estimations, which are critical for supporting sustainable practices in the automotive industry.

关键词： Support vector machines Industries Accuracy Motorcycles Stochastic processes Pricing Predictive models Nearest neighbor methods Data models Regression tree analysis

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ASFM: Augmented Social Force Model for Legged Robot Social Navigation 23

ASFM: Augmented Social Force Model for Legged Robot Social N...

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23rd IEEE-RAS International Conference on Humanoid Robots, Humanoids 2024

作者： Ægidius, Sebastian Chacón-Quesada, Rodrigo Delfaki, Andromachi Maria Kanoulas, Dimitrios Demiris, Yiannis Imperial College London Personal Robotics Lab Department of Electrical and Electronic Engineering LondonSW7 2AZ United Kingdom University College London Robot Perception and Learning Lab Department of Computer Science Gower Street LondonWC1E 6BT United Kingdom Ai Centre Department of Computer Science Ucl United Kingdom Archimedes/Athena Rc Greece

ISBN: (纸本)9798350373578

Social navigation in robotics primarily involves guiding mobile robots through human-populated areas, with pedestrian comfort balanced with efficient path-finding. Although progress has been seen in this field, a solution for the seamless integration of robots into pedestrian settings remains elusive. In this paper, a social force model for legged robots is developed, utilizing visual perception for human localization. In particular, an augmented social force model is introduced, incorporating refined interpretations of repulsive forces and avoidance behaviors based on pedestrian actions, alongside a target following mechanism. Experimental evaluation on a quadruped robot, through various scenarios, including interactions with oncoming pedestrians, crowds, and obstructed paths, demonstrates that the proposed augmented model significantly improves upon previous baseline methods in terms of chosen path length, average velocity, and time-to-goal for effective and efficient social navigation. The code isopen-source, while video demonstrations can be found on the project's webpage: https://***/ASFM/ © 2024 IEEE.

关键词： Mobile robots

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Automatic Bengali Number Plate Detection and Authentication using YOLO-V4 and YOLO-V5

Automatic Bengali Number Plate Detection and Authentication ...

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International Conference on computer and Information Technology (ICCIT)

作者： Abu Sufiun Md. Hasan Imam Bijoy Narayan Ranjan Chakraborty Md Atik Asif Khan Akash Department of Computer Science and Engineering Multidisciplinary Action Research (MARS) Lab Daffodil International University (DIU) Dhaka Bangladesh

Object detection is a very sophisticated technology to work on nowadays. In this study, we specifically focused on solving the problem of license plate detection and license plate class identification for authentication. For both, we used the You Only Look Once (YOLO) algorithm to solve these problems. For the license plate detection model here we used YOLO-v4 and for the number plate, the class identification model used YOLO-v5. The Dataset used in license plate detection is Google’s Open Image Dataset to get YOLO formatted labeled images. And for the Automatic Number Plate Authentication (ANPA) model, we have created a dataset by labeling the images. This concatenation approach is used to solve the problem, first detecting the license plate and extracting the license plate region from the image and then passing this image to the number plate class detection model to extract the information from the license plate image. The concatenation method shows a very good output for both of the models. For the license plate detection model, the mean average precision is 88.57% and our YOLO-v5 model has an accuracy around (a mean average precision) of 95.41%.

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Integrating Function and Connection: Two Perspectives to Telepresence Robot Design for Classroom 25

Integrating Function and Connection: Two Perspectives to Tel...

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2025 ACM International Conference on Supporting Group Work, GROUP Companion 2025

作者： Berhane, Roda Akiode, Deo Adejoke Joshi, Swapna Elmimouni, Houda School of Informatics Computing and Engineering Indiana University BloomingtonIN United States Field Robotics Lab Northeastern University BostonMA United States Department of Computer Science University of Manitoba WinnipegMB Canada Information Systems and New Media University of Siegen Siegen Germany

ISBN: (纸本)9798400711879

This study explores robotic telepresence in classrooms, from the perspectives of both the remote students (operators) and their in-person classmates. Analyzing a subset of field study data from 35 participants (22 operators, 13 classmates), we identified differing priorities: operators of the robot emphasize the need for improved functional aspects like camera control, while co-present classmates value social presence, interaction and identification, advocating for features like personalization and effective communication channels. These insights underline the need for telepresence robots that balance functional efficacy with social integration to provide a holistic educational experience. This work, though incomplete, enriches Group and CSCW literature on telepresence robots to facilitate collaborative interactions by highlighting the distinct needs of remote and in-person students, proposing design recommendations for telepresence robots that are technically proficient and socially responsive. © 2025 Copyright held by the owner/author(s).

关键词： Students

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Explorative Study on Motor Interference During Synchronous Human and Robot Arm Movements Under Varied Presence of a Robot Head

Explorative Study on Motor Interference During Synchronous H...

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IEEE International Conference on robotics and Biomimetics

作者： Mertcan Kaya Kolja Kühnlenz Robotics Research Lab Department of Electrical Engineering and Computer Science Coburg University of Applied Sciences and Arts Coburg Germany

ISBN: (数字)9798331509644

ISBN: (纸本)9798331509651

This paper investigates the influence of a static robot head on deviations of human hand movements from task direction (motor interference) during simultaneous human and robot arm movements using a collaborative robot arm. Synchronous vertical and horizontal human and robot arm movements are conducted in all combinations (within-subjects factors direction and congruency). The presence of the head (head/ no head) is varied as a between-subjects factor. In this first step, only its motionless presence is deliberately focused at, in order to exclude contributions by eye- or head-movement behavior or facial expressions being difficult variables to generalize from. Participants' hands are tracked optically marker-based and deviations from task-related vertical, respectively, horizontal movements are evaluated. In contrast to expectations, results do not show a significant impact of the robot head on motor interference. Thus, there is evidence, that appearance might not be an activating factor for motor interference in HRI.

关键词： Hands Tracking Neurons Humanoid robots Morphology Interference Motors Manipulators Mirrors Robots

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Embracing Safe Contacts with Contact-aware Planning and Control

arXiv

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arXiv 2023年

作者： Li, Zhaoting Zamora, Miguel Zheng, Hehui Coros, Stelian Computational Robotics Lab Computer Science Department ETH Zurich Switzerland Soft Robotics Lab Department of Mechanical and Process Engineering ETH Zurich Switzerland

Unlike human beings that can employ the entire surface of their limbs as a means to establish contact with their environment, robots are typically programmed to interact with their environments via their end-effectors, in a collision-free fashion, to avoid damaging their environment. In a departure from such a traditional approach, this work presents a contact-aware controller for reference tracking that maintains interaction forces on the surface of the robot below a safety threshold in the presence of both rigid and soft contacts. Furthermore, we leveraged the proposed controller to extend the BiTRRT sample-based planning method to be contact-aware, using a simplified contact model. The effectiveness of our framework is demonstrated in hardware experiments using a Franka robot in a setup inspired by the Amazon stowing task. A demo video of our results can be seen here: https://***/2WeYytauhNg. © 2023, CC BY.

关键词： End effectors

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Large Language Model Driven Interactive Learning for Real-Time Cognitive Load Prediction in Human-Swarm Systems

Large Language Model Driven Interactive Learning for Real-Ti...

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Wenshuo Zang Mengsha Hu Rui Liu Cognitive Robotics and AI Lab (CRAI) College of Aeronautics Engineering Department of Computer Science Kent State University OH USA

ISBN: (数字)9798350375022

ISBN: (纸本)9798350375039

The rapid advancements of drones have demonstrated the versatility and promising potential of human-swarm systems (HSS) across various domains. However, human performance within these systems may be impaired by factors such as limited domain knowledge and mental stress, often leading to cognitive overload and hindering the efficiency and effectiveness of human-swarm teaming. Consequently, the accurate monitoring of cognitive load levels is crucial for optimizing HSS performance. To address the challenges of existing measurement methods, which are often expensive, time-consuming, or lack real-time capabilities, we propose a Large Language Model driven cognitive load prediction framework. This framework integrates comprehensive task context, domain knowledge, and behavior analysis to provide fast and cost-effective predictions in complex scenarios. By leveraging the capabilities of Large Language Models and employing reinforcement learning to model the cognitive load generation, our framework aims to offer real-time insights into human-related factors causing high cognitive load and predict cognitive levels over time, ultimately enhancing the performance of HSS teaming.

关键词： Large language models Reinforcement learning Human factors Predictive models Cognitive load Real-time systems Robots Monitoring Load modeling Drones

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Sampling-Based Model Predictive Control for Dexterous Manipulation on a Biomimetic Tendon-Driven Hand

arXiv

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arXiv 2024年

作者： Hess, Adrian Kübler, Alexander M. Forrai, Benedek Dogar, Mehmet Katzschmann, Robert K. Robotics Lab Department of Mechanical and Process Engineering ETH Zurich Switzerland School of Computer Science University of Leeds United Kingdom

Biomimetic and compliant robotic hands offer the potential for human-like dexterity, but controlling them is challenging due to high dimensionality, complex contact interactions, and uncertainties in state estimation. Sampling-based model predictive control (MPC), using a physics simulator as the dynamics model, is a promising approach for generating contact-rich behavior. However, sampling-based MPC has yet to be evaluated on physical (non-simulated) robotic hands, particularly on compliant hands with state uncertainties. We present the first successful demonstration of in-hand manipulation on a physical biomimetic tendon-driven robot hand using sampling-based MPC. While sampling-based MPC does not require lengthy training cycles like reinforcement learning approaches, it still necessitates adapting the task-specific objective function to ensure robust behavior execution on physical hardware. To adapt the objective function, we integrate a visual language model (VLM) with a real-time optimizer (MuJoCo MPC). We provide the VLM with a high-level human language description of the task, and a video of the hand’s current behavior. The VLM gradually adapts the objective function, allowing for efficient behavior generation, with each iteration taking less than two minutes. In our experiments, the hand achieves an average ball rolling speed of 0.35 rad/s, successful ball flips, and catching with a 67% success rate. Our results demonstrate that sampling-based MPC is a promising approach for generating dexterous manipulation skills on biomimetic hands without extensive training cycles. © 2024, CC BY.

关键词： Visual languages

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Design and Implementation of an On-Board System for a Spider Robot 1st

Design and Implementation of an On-Board System for a Spider...

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1st International Conference on Computing and Emerging Technologies, ICCET 2023

作者： Nauman, Nasir Mustafa, Hirra Ashraf, Abrar Khalil, Hisham Department of Computer Science Superior University Lahore Pakistan Department of Computer Science Sharif College of Engineering and Technology Lahore Lahore Pakistan Embedded System and Robotics Lab Department of Technology The University of Lahore Lahore Pakistan

ISBN: (纸本)9783031776199

This paper presents the design of a system onboard spider robot for rescue services. The spider has the six-leg walking pattern that contains the total number of 18 servo motors. In order to reduce the payload, the abdomen of the spider is made with RF4 printed circuit board (PCB). Whereas, the abdomen is also used as the main structure of the robot to attach the rest of the system. Wherein, two pulse-width modulations (PWM) module are controlled by Arduino Nano, the Bluetooth module is used for communication link and bulk converter for the power supply. The spider robot is operated with an in-house developed Android application. It has been observed that the spider robot has a stable walking response along with the multiple excise performance. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Machine design

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