检索结果-内蒙古大学图书馆

International Conference on Control, Automation and Systems ( ICCAS)

作者： Matee Vadrukchid Manukid Parnichkun Mechatronics Program School of Engineering and Technology Asian Institute of Technology Bangkok Thailand

A prototype of a stick robot with three reaction wheels is developed. Its balancing control is proposed in this paper. The stick robot is an inverted pendulum system using three reaction wheels as actuators. The robot can maintain itself at the upright position by applying appropriate motions of the three reaction wheels. A mechanical design, electrical circuit design, and control algorithm design are all required to build and balance the stick robot. The Linear Quadratic Regulator (LQR) is proposed to balance the robot. This control method attempts to minimize the cost related to the robot's states and control energy. This paper illustrates the dynamic model of the stick robot that has coupling effects between axes and can be used to describe the robot's behavior in terms of dynamics equation. From both simulations and experiments, the stick robot is able to stand on its own at the upright position. The angle in the x-direction has an error band of 0.1343 degree. It has a 0.2-second settling time. It also has 0.0011 degrees and 0.0335 degrees for mean square error and root mean squared error. The angle in the y-direction has an error band of 0.1186 degree. It has 0.14 second settle time and a mean square error of 0.0008 degree. It also has a root mean squared error equal to 0.0278 degrees. The results show an effective control performance of the proposed LQR.

关键词： Couplings Uniform resource locators Robust control Wheels Mean square error methods Mathematical models Robustness

来源：评论

学校读者我要写书评

暂无评论

Pneumonia Detection in Lung Ultrasound Images with Texture Analysis and Machine Learning

Pneumonia Detection in Lung Ultrasound Images with Texture A...

引用

Colombian Caribbean Conference (C3), IEEE

作者： Laura C. Valdes-Burgos Sara L. Contreras-Ojeda Sonia H. Contreras-Ortiz Biomedical Engineering Program Universidad Tecnológica de Bolívar Cartagena de Indias Colombia Mechatronics Engineering Program Universidad Tecnolóigica de Bolívar Cartagena de Indias Colombia

Ultrasound imaging has been used to evaluate lung conditions such as pleura effusion and bacterial and viral pneumonia. The lesions caused by pneumonia show different intensity and texture than healthy lung tissue in ultrasound. However, due to the low signal-to-noise ratio and artifacts of the images, tissue lesions can be challenging to identify or be confounded with other pathologies. This paper proposes an approach for tissue classification in ultrasound images. We used the 2D wavelet transform to decompose lung ultrasound images. Then, we used texture features that include first-order statistics and gray-level co-occurrence features, among others, to characterize the images of healthy tissue and pneumonia. We evaluated feature selection and supervised learning techniques for classification. The best results were obtained with the gradient boosting classifier, with 83.3% accuracy in cross-validation and 90% in testing. This study suggests lung ultrasound could be an effective diagnostic technique for pneumonia caused by COVID-19 and other pathogens without exposing the patients to ionizing radiation.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Self-loop Laplacian Formation Control for Linear Systems

Self-loop Laplacian Formation Control for Linear Systems

引用

Computer Sciences, engineering, and Technology Innovation (ICoCSETI), International Conference on

作者： Ashton Bradley Hendrawan Djati Wibowo Djamari Ignatius Pulung Nurprasetio Harry Septanto Mechanical Engineering Study Program Sampoerna University Jakarta Indonesia Faculty of Mechanical and Aerospace Engineering Institut Teknologi Bandung Bandung Indonesia Research Center for Smart Mechatronics National Agency for Research and Innovation (BRIN) Bogor Indonesia

ISBN: (数字)9798331508616

ISBN: (纸本)9798331508623

This study works on scalable formation control of general linear system agents which based on self-loop Laplacian method. Self-loop Laplacian method for scalable formation is used when it is desired that the initial states of agents and communication topology of agents affects the formation size directly. Proof is provided demonstrating that the self-loop Laplacian matrix shares spectral properties with the standard Laplacian matrix, and the two can be related through a transformation matrix. Existing works on scalable formation mostly focused on single and double integrator agents, particularly where the control input algorithm uses self-loop Laplacian matrix. Extending the work on self-loop Laplacian matrix, this study proposes a control input algorithm for agents in linear system dynamics. The algorithm uses both self-loop Laplacian formulation and general linear system consensus methods, and the stability of the whole system is proven using Lyapunov direct method. Two numerical examples with 4 and 5 agents are shown to verify the result.

关键词： Linear systems Technological innovation Laplace equations Heuristic algorithms Formation control Topology Collision avoidance Standards Numerical stability Multi-agent systems

来源：评论

学校读者我要写书评

暂无评论

Kinematics Analysis of a 3DoF Hip Exoskeleton and Workspace Simulation

Kinematics Analysis of a 3DoF Hip Exoskeleton and Workspace ...

引用

2021 International Conference on Mechanical, Aerospace and Automotive engineering, CMAAE 2021

作者： Huamanchahua, Deyby Soto Conde, Nick Vasquez Frias, Jean Carlos Lopez Meza, Diego Alvarez-Rodríguez, Angel E. Department of Electrical and Mechatronics Engineering Universidad de Ingenieria y Tecnologia - Utec Lima Peru Mechatronics Engineering Program Universidad Nacional de Ingeniería Lima Peru Department of Mechatronics Engineering Universidad Peruana de Ciencias Aplicadas Lima Peru Department of Mechatronic Engineering Universidad Continental Huancayo Peru Mechatronic Engineering Universidad Tecnológica Del Perú Lima Peru

ISBN: (纸本)9781450385206

This paper deals with the direct kinematic analysis of a hip exoskeleton with 3 Degrees of Freedom (DoF), to assist users in walking. A methodology based on the Denavit Hartenberg (D-H) convention is presented, in the orientation Euler angles were used. For the calculation the open-source software Jupiter is used as a testing tool, the simulation is performed with Wolfram software. The results obtained will be used for dynamic analysis and mechanical design in subsequent studies. © 2021 ACM.

关键词： Denavit-Hartenberg convention Exoskeleton Hip Kinematic analysis

来源：评论

学校读者我要写书评

暂无评论

Self-Tuning Neural Network Controller Based on Fuzzy Logic for Multiple Positions Tracking of a Pneumatic Driven Soft Endoscope Actuator

Self-Tuning Neural Network Controller Based on Fuzzy Logic f...

引用

International Conference on Autonomous Robots and Agents, ICARA

作者： Renzo Acosta Julio Tafur Ruth Canahuire Enginnering Department Control and Automation Engineering Master Degree Program Pontificia Universidad Catolica del Peru Lima Peru Department of Electrical and Mechatronics Engineering Universidad de Ingenieria y Tecnologia - UTEC Lima Peru

ISBN: (数字)9798350394245

ISBN: (纸本)9798350394252

This paper presents the dynamic modelling and end effector position control of a soft endoscope. Soft endoscope system under study consists mainly of a pneumatic driven soft actuator (PDSA) with four independently chambers. Recurrent neural network (RNN) and dynamic back propagation (DBP) training algorithm are used to obtain PDSA dynamic model. PDSA position controller is based on a feedforward neural network (FNN) and it is trained using PDSA closed loop system (CLS) and DBP training algorithm. CLS stability analysis concludes that it is not possible control PDSA end effector position using one position controller for different end effector initial and desired positions. Fuzzy logic methodology is used to integrate several positions controllers in a one controller valid for all operation range. The controller implementation and close loop system simulation are performed in MATLAB for different end effector desired position to validate system performance in all range of operation.

关键词： Training Fuzzy logic Backpropagation Recurrent neural networks Endoscopes Heuristic algorithms Artificial neural networks

来源：评论

学校读者我要写书评

暂无评论

Smart Shopping and Cart Billing System Using Deep Learning

Smart Shopping and Cart Billing System Using Deep Learning

引用

Intelligent Cyber Physical Systems and Internet of Things (ICoICI), International Conference on

作者： Ramkumar S Saravanan R Kanagaraj Venusamy Rani Jabbar N. Jeevitha Department of Robotics and Automation Rajalakshmi Engineering College Thandalam Chennai India Department of Mechatronics Engineering Rajalakshmi Engineering College Chennai India EDICT Department Electrical Engineering Program Bahrain polytechnic Isa town Kingdom of Bahrain Department of Electrical and Electronics Engineering Roever Engineering College Perambalur India

ISBN: (数字)9798331540661

ISBN: (纸本)9798331540678

There are many problems faced by people who stand for hours at billing counter after shopping, even though crowds are avoided everywhere, shopping mall billing queue isn't reducing since ages. Since the world relies on automation today, everyone has to automate processes which consumes time, money and efforts wherever possible. The technique related with the use of Raspberry Pi, LCD display and Webcam helps the people to bill the groceries within the shopping cart. It reduces consumption of time and their energy can be conserved which can't happen when they stand in a queue for billing process. User have to scan the object in front of webcam and LCD display allows them to add purchased items along with their price and quantity. They can also remove the product fromthe cart and it will be automatically removed. At the end of process, payment can be made online using a QR code or UPI. The Bill will be generated to their respective mail or it will be sent as SMS. User have to register or Log in when they start shopping. Automatic detection is possible without any inspection behind. The model is much portable and does not face any problem in its operation. When compared with the existing methods the processor, display along with its webcam accuracy is much better, it does not require complete continuous guidance and maintenance upon its usage. The need to push the cart has been eliminated as the cart can move along/follow the user autonomously.

关键词： Deep learning Webcams QR codes Inspection Liquid crystal displays Registers Maintenance Internet of Things Faces Postal services

来源：评论

学校读者我要写书评

暂无评论

Motion Detection Method of Electrostatic MEMS Resonators Operating in Aqueous Media

Motion Detection Method of Electrostatic MEMS Resonators Ope...

引用

International Youth Conference on Radio Electronics, Electrical and Power engineering (REEPE)

作者： Mohamed Hemid Basil Alattar Mehdi Ghommem Alaaeldin Ahmed Eihab Abdel-Rahman Rana Sabouni Mechatronics Graduate Program American University of Sharjah Sharjah UAE Mechanical Engineering Department American University of Sharjah Sharjah UAE Systems Design Engineering University of Waterloo Ontario Canada Chemical Engineering Department American University of Sharjah Sharjah UAE

This paper introduces an experimental method to detect the motion of an electrostatic Micro-Electro-Mechanical Systems (MEMS) resonator in aqueous media. The resonator comprises a micro cantilever beam subject to electrostatic actuation through a side electrode. A Finite Element Method (FEM) model of the resonator is developed to determine the in-plane mode shapes and their natural frequencies in order to facilitate the experimental study. The motion of the resonator lead to variations in its capacitance and induce a current. The developed experiments demonstrate that motion-induced current can be measured and analyzed to detect the motion of the resonator's higher-order modes and can be used in chemical sensing.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Applying CNN Models with Stereo Camera for Object Detection and Distance Estimation in Automatic Micro Electric Vehicle (MEVi)

Applying CNN Models with Stereo Camera for Object Detection ...

引用

Smart mechatronics (ICSMech), IEEE International Conference on

作者： Farrell Putra Harimanto Nurul Hasanah Muhammad Khristamto Aditya Pradana Muhammad Nurul Puji Computer Engineering Department Automotive & Robotics Program BINUS ASO School of Engineering Bina Nusantara University Jakarta Indonesia Research Center for Smart Mechatronics National Research and Innovation Agency KST Samaun Samadikun Bandung Indonesia

ISBN: (数字)9798350368918

ISBN: (纸本)9798350368925

Technological advancements in the automotive industry are currently focused on autonomous driving systems or driver assistance systems. Depth estimation is also an important feature of the autonomous driving system as it can accurately estimate the distance to the detected objects. In current developments technologies such as stereo cameras are more popular for a more accurate depth estimation. The process for object detection consists of a combination of classification, localization, and segmentation. Deep convolutional neural networks are the basis of object detection. The methods for object detection are divided into two categories namely the Region Proposal-based method such as RCNN, and the Classification-based method which provides for methods such as YOLO and MobileNet. As a part of the research conducted by the National Research and Innovation Agency (BRIN) on Automatic Micro Electric Vehicles or MEVi, this paper analyzed and compared the performance of several CNN models for object detection as well as the performance of depth sensing using ZED stereo camera which was used for the autonomous system in MEVi. Among several models that had been compared, YOLO v8 model demonstrates high accuracy and moderate speed as indicated by its high mAP (0.50) and FPS (38.46). Based on depth sensing results, the accuracy of distance measurement also depended on brightness and environment with the average of accuracy achieved indoors was 98.2% and outdoors was 96.3%.

关键词： YOLO Accuracy Depth measurement Brightness Cameras Electric vehicles Distance measurement Sensors Convolutional neural networks Autonomous vehicles

来源：评论

学校读者我要写书评

暂无评论

Guest Editorial: Special Issue on Technology Trends in Control, Robotics and Systems - For the 30th Anniversary of the Institute of Control, Robotics and Systems -

引用

Journal of Institute of Control, Robotics and Systems 2024年第4期30卷 295-295页

作者： Ko, Nak Yong Kang, Taesam Song, Jin Woo Lim, Myo Taeg Jo, Kang-Hyun Department of Electronic Engineering Interdisciplinary Program in IT-Bio Convergence System Chosun University Korea Republic of Department of Mechanical and Aerospace Engineering Konkuk University Korea Republic of Department of Intelligent Mechatronics Engineering Sejong University Korea Republic of School of Electrical Engineering Korea University Korea Republic of Department of Electrical Electronic and Computer Engineering University of Ulsan Korea Republic of

来源：评论

学校读者我要写书评

暂无评论

Dynamic Numerical Studies of a Rotorcraft Entering and Exiting Rectangular Tunnel 19

Dynamic Numerical Studies of a Rotorcraft Entering and Exiti...

引用

19th IEEE International Conference on e-Business engineering, ICEBE 2023

作者： Hsu, Uzu-Kuei Chang, Hong-Bin Tsai, Yao-Yu Tai, Chang-Hsien National Pingtung University of Science and Technology Bachelor Program in Artificial Intelligence and Mechatronics Kaohsiung City Taiwan National Pingtung University of Science and Technology Scerdc General Research Service Center Kaohsiung City Taiwan National Pingtung University of Science and Technology Dept. of Vehicle Engineering Kaohsiung City Taiwan

ISBN: (纸本)9798350325553

In recent years, the utilization of multi-rotor drones has seen a steady rise. Unmanned aerial vehicles (UAV) have found diverse applications, including aerial photography, transportation, military operations, and agriculture. The advent of these compact flying machines offers humanity a range of convenient and versatile choices across various sectors. Although unmanned aerial vehicles hold significant practical value, their stable flight is contingent on favorable weather conditions. Consequently, it becomes crucial to investigate the influence of environmental airflow on aircraft stability. This is particularly important for small machines like rotary-wing aircraft operating in confined spaces, where understanding the aerodynamic effects of the flow field is crucial to avert potential crashes. This study delves into the variations in the flow field during the entry and exit of a single rotor into a tunnel. Utilizing dynamic simulations, it examines how tunnels impact the rotor's flow field and analyzes thrust curves to understand dynamic rotor behavior. The study also explores the effect of vortex generation on the rotor and employs a simple square tunnel to assess how tunnel size and flight speed influence the rotor's flow field during flight. The findings hold potential as reference points to enhance flight stability during tunnel flights. © 2023 IEEE.

关键词： Vortex flow

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：