检索结果-内蒙古大学图书馆

International Carpathian control Conference (ICCC)

作者： Stanislaw Flaga Maciej Majcher Department of Process Control Faculty of Mechanical Engineering and Robotics AGH University of Science and Technology Krakow Poland

When building digital twins of existing technical solutions, we need a large amount of data on the parameters of their operation under various conditions. The source of data on the values of process variables at the lowest level is control devices - most often PLCs. There are many ways to acquire the qualities of process variables available from the PLC level. Increasingly, OPC UA is replacing the OPC model, and the OPC UA server is increasingly a functionality of the PLC CPU. The Industrial Internet of Things IIoT is used in companies moving toward Factory 4.0. Data from controllers can be acquired using high-level languages such as C++, C# or Python. Libraries often made available under an open-source license are used for this. For example, you can find commercial libraries for communication between PLCs of selected manufacturers and MySQL servers. Siemens provides a library for communication between S7-1200/1500 controllers and MS SQL server. The author has yet to find an exhaustive analysis of such a solution. In the literature, there need to be more studies of experiments describing the performance of query generation and execution and the impact of the library on PLC performance. The article presents the results of an experimental study of this issue.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Ensuring Accuracy in Auto-Bounding Box Generation for the Autonomous Aerial Refueling Mission

Ensuring Accuracy in Auto-Bounding Box Generation for the Au...

引用

International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Charles J. Doherty Donald H. Costello Michael D. M. Kutzer Weapons Robotics and Control Engineering Department United States Naval Academy Annapolis Maryland United States

The United State Navy has a vested interest in developing methods for the certification of autonomous aerial refueling by uncrewed aircraft. For leadership to accept the risk of allowing an uncrewed platform to act as the receiver for autonomous aerial refueling there needs to be standards and methods of compliance for allowing an uncrewed platform to complete the task. The United States Naval Academy, with the support of the Office of Naval Research, has begun a line of research into developing certification evidence that will enable an uncrewed aircraft to complete the autonomous aerial refueling task. This line of research assumes the use of a deep neural network to properly identify the refueling drogue and coupler. As with most items revolving around training a neural network, they will only perform as well as the labeled data set that was used to train them. The United States Naval Academy has focused on generating large data sets for this line of research through auto-labeling techniques. This paper highlights the generation of one of those data sets and details a follow on effort for improving the technique.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Multiplier analysis of Lurye systems with power signals

arXiv

引用

arXiv 2024年

作者： Heath, William P. Carrasco, Joaquin Control Systems and Robotics Group Department of Electrical and Electronic Engineering Engineering Building A University of Manchester M13 9PL United Kingdom

Multipliers can be used to guarantee both the Lyapunov stability and input-output stability of Lurye systems with time-invariant memoryless slope-restricted nonlinearities. If a dynamic multiplier is used there is no guarantee the closed-loop system has finite incremental gain. It has been suggested in the literature that without this guarantee such a system may be critically sensitive to time-varying exogenous signals including noise. We show that multipliers guarantee the power gain of the system to be bounded and quantifiable. Furthermore power may be measured about an appropriate steady state bias term, provided the multiplier does not require the nonlinearity to be odd. Hence dynamic multipliers can be used to guarantee Lurye systems have low sensitivity to noise, provided other exogenous systems have constant steady state. We illustrate the analysis with an example where the exogenous signal is a power signal with non-zero mean. © 2024, CC BY.

关键词： Slope stability

来源：评论

学校读者我要写书评

暂无评论

Research study of image classification algorithms based on Convolutional Neural Networks

Research study of image classification algorithms based on C...

引用

International Carpathian control Conference (ICCC)

作者： Agata Nawrocka Marcin Nawrocki Andrzej Kot Department of Process Control Faculty of Mechanical Engineering and Robotics AGH University of Science and Technology Krakow Poland Department of Mechinery Engineering and Transport Faculty of Mechanical Engineering and Robotics AGH University of Science and Technology Krakow Poland

The beginning of the paper introduces the idea of neural networks by presenting the neuron models and artificial neural networks. Next, the flow of operations used in the development of convolutional neural networks is presented, as well as an overview of popular architectures used in model development. After introducing the theoretical issues, a project using the EfficientNet architecture to recognize medical images taken by MRI is presented. The project describes: the selection and parameters of the MRI image database representing different types of brain tumors, the process of implementation and appropriate modification of the EfficientNet architecture used to classify images, the presentation of the results of learning the convolutional neural network and the images that highlight on the basis of which area the convolutional neural network classifies images.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Fuzzy control system design for wheel slip prevention and tracking of desired speed profile in electric trains

引用

Asian Journal of control 2022年第1期24卷 388-400页

作者： Moaveni, Bijan Rashidi Fathabadi, Fatemeh Molavi, Ali Center of excellence for Modelling and Control of Complex Systems Faculty of Electrical Engineering K. N. Toosi University of Technology Tehran Iran Department of Electrical and Computer Engineering Western Michigan University MI United States Institute of Robotics and Industrial Informatics Polytechnical University of Catalonia Barcelona Spain

This study proposes an anti-slip control system for electric trains based on the fuzzy logic theory, which prevents the wheels from slipping during the acceleration and simultaneously tracks the desired speed profile. To improve the control performance, the train longitudinal velocity and the slip ratio are estimated. By using a field-oriented control (FOC), the angular speed of the traction motor is controlled. The fuzzy control system determines the desired angular speed of the traction motor as the reference input of FOC to obtain the desired slip ratio and track the desired speed profile. Simulation results show the effectiveness of the control system in various wheel–rail surface conditions based on the real parameters of ER24PC locomotive. © 2020 Chinese Automatic control Society and John Wiley & Sons Australia, Ltd

关键词： Traction motors

来源：评论

学校读者我要写书评

暂无评论

Confidence-Aware Safe and Stable control of control-Affine Systems

arXiv

引用

arXiv 2024年

作者： Wei, Shiqing Krishnamurthy, Prashanth Khorrami, Farshad Control/Robotics Research Laboratory Department of Electrical and Computer Engineering NYU Tandon School of Engineering 5 Metrotech Center BrooklynNY11201 United States

Designing control inputs that satisfy safety requirements is crucial in safety-critical nonlinear control, and this task becomes particularly challenging when full-state measurements are unavailable. In this work, we address the problem of synthesizing safe and stable control for control-affine systems via output feedback (using an observer) while reducing the estimation error of the observer. To achieve this, we adapt control Lyapunov function (CLF) and control barrier function (CBF) techniques to the output feedback setting. Building upon the existing CLF-CBF-QP (Quadratic Program) and CBF-QP frameworks, we formulate two confidence-aware optimization problems and establish the Lipschitz continuity of the obtained solutions. To validate our approach, we conduct simulation studies on two illustrative examples. The simulation studies indicate both improvements in the observer’s estimation accuracy and the fulfillment of safety and control requirements. © 2024, CC BY.

关键词： Lyapunov functions

来源：评论

学校读者我要写书评

暂无评论

Feature Extraction of Motor Imagination EEG Signals for a Collaborative Exoskeleton Robot Based on PSD Analysis 42

Feature Extraction of Motor Imagination EEG Signals for a Co...

引用

42nd Chinese control Conference, CCC 2023

作者： Wu, Yunfeng Li, Junze Ren, Zichen Lu, Bo Zhang, Changzhu Qi, Peng Tongji University Department of Control Science and Engineering No. 1239 Siping Road Shanghai200092 China Elmore Family School of Electrical and Computer Engineering Purdue University West LafayetteIN47906 United States School of Mechanicaland Electric Engineering Soochow University Robotics and Microsystems Center Suzhou215021 China

ISBN: (纸本)9789887581543

The integration of brain-machine interface and exoskeleton robot has been widespread application in gait correction, walking assistance, and numerous other scenarios. To effectively extract the electroencephalogram (EEG) signal features of motor imagery while wearing an exoskeleton, this study proposes a frequency band pre-determination method based on power spectral density (PSD) that enables common spatial patterns (CSP) to extract features from the frequency band with the highest energy in the EEG. The signal power spectral density of all channels is obtained at or near the average frequency of the maximum short interval frequency component energy. A second round of filtering is performed on the data, and the signal components are used as input for the subsequent feature extraction step. The CSP method extracts features from the spatial domain signal and generates feature maps. Finally, Support Vector Machines (SVM) are utilized to classify the EEG signals. Based on the pre-set gait of the exoskeleton robot and the motor imagery paradigm, feature extraction and classification of motor imagery EEG data during exoskeleton use were conducted, with an average accuracy rate of 77%. The experimental results demonstrate the effectiveness of this method in extracting the motor imagery EEG features during exoskeleton use. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

Facial Expression Recognition Model Depending on Optimized Support Vector Machine

引用

Computers, Materials & Continua 2023年第7期76卷 499-515页

作者： Amel Ali Alhussan Fatma M.Talaat El-Sayed M.El-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Doaa Sami Khafaga Mona Alnaggar Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Machine Learning&Information Retrieval Department Faculty of Artificial IntelligenceKafrelsheikh UniversityKafrelsheikh33516Egypt Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Robotics and Intelligent Machines Department Faculty of Artificial IntelligenceKafrelsheikh UniversityKafrelsheikh33516Egypt

In computer vision,emotion recognition using facial expression images is considered an important research *** learning advances in recent years have aided in attaining improved results in this *** to recent studies,multiple facial expressions may be included in facial photographs representing a particular type of *** is feasible and useful to convert face photos into collections of visual words and carry out global expression *** main contribution of this paper is to propose a facial expression recognitionmodel(FERM)depending on an optimized Support Vector Machine(SVM).To test the performance of the proposed model(FERM),AffectNet is *** uses 1250 emotion-related keywords in six different languages to search three major search engines and get over 1,000,000 facial photos *** FERM is composed of three main phases:(i)the Data preparation phase,(ii)Applying grid search for optimization,and(iii)the categorization *** discriminant analysis(LDA)is used to categorize the data into eight labels(neutral,happy,sad,surprised,fear,disgust,angry,and contempt).Due to using LDA,the performance of categorization via SVM has been obviously *** search is used to find the optimal values for hyperparameters of SVM(C and gamma).The proposed optimized SVM algorithm has achieved an accuracy of 99%and a 98%F1 score.

关键词： Facial expression recognition machine learning linear dis-criminant analysis(LDA) support vector machine(SVM) grid search

来源：评论

学校读者我要写书评

暂无评论

Experimental Testing of a Prototype of an Active Elbow Orthosis Based on in vivo Investigation of Elbow Flexion/Extension of Healthy Subjects

引用

International Journal Bioautomation 2022年第2期26卷 161-174页

作者： Angelova, Silvija Petrov, Emil Raykov, Plamen Raikova, Rositsa Department of Motor Control Institute of Biophysics and Biomedical Engineering Bulgarian Academy of Sciences Acad G. Bonchev Str. Bl. 105 Sofia Bulgaria Department of Mechatronic and Bio/Technological Systems Institute of Robotics Bulgarian Academy of Sciences Acad. G. Bonchev Str.Bl. 2 Sofia Bulgaria Department of Robotics and Mechatronic Intelligent Systems Institute of Robotics Bulgarian Academy of Sciences Acad G. Bonchev Str.Bl. 2 Sofia Bulgaria

Many people have problems with elbow joint driving because of different diseases, sport trauma, road traffic injuries, etc. A good way for restoring elbow motions is a selfrehabilitation using an active orthosis. It has to be light, convenient for daily use, active, easy to control by patients, and safe. The paper presents a prototype of an active elbow orthosis. The plastic details were designed using a CAD system and were 3D printed. The joint was driven by a Dynamixel actuator. To increase the joint moment, a reduction gear-belt drive was constructed and applied. Experiments with six healthy subjects were performed using a Noraxon measuring system, aiming to investigate elbow joint angles in natural movements with four different velocities of elbow flexion and extension without and with a load of 0.5 kg in the hand. The four velocities (from very slow to very fast) were controlled by a specialized PC application. In order to achieve similar motions of the orthosis, the angle profiles were approximated so that the motion was between 10° and 120° because of electro/mechanical and software safety stoppers. Experiments were performed with the orthosis following the given angle profile without load and with a load of 0.5 kg. The results show that the orthosis’ forearm performs the given angle and angular speed profiles with enough precision © 2022. International Journal *** Rights Reserved

关键词： Computer aided design

来源：评论

学校读者我要写书评

暂无评论

SIT-Net: Surgical Image Translation Network Using a Generative Adversarial Method with Visual Feature Disentanglement

SIT-Net: Surgical Image Translation Network Using a Generati...

引用

2023 IEEE International Conference on Real-Time Computing and robotics, RCAR 2023

作者： Guo, Yuhao Zhou, Tiancheng Chi, Wenzheng Zhou, Feng Qi, Peng Li, Ling Sun, Lining Lu, Bo Soochow University Robotics and Microsystems Center School of Mechanical and Electric Engineering Suzhou215021 China Soochow University First Affiliated Hospital Department of Orthopedics Suzhou215021 China Tongji University Department of Control Science and Engineering Shanghai China Suzhou Ultimage Health Technology Co. Ltd. China

ISBN: (纸本)9798350327182

With flourishing advancements of surgical robots and learning-driven algorithms, surgical automation that enables robots with autonomous functions for certain subtasks by learning experts' skills is attracting tremendous attention. To facilitate its development, introducing a high-quality surgical image translation method from current scenes to desired domains can not only augment the data for model training but also alleviate the problems that may frequently encounter using traditional approaches, like visual blurs or incomplete instrument generations. To this end, we propose a new surgical image generation method called Surgical Image Translation Network (SIT-Net). Considering complex features entangled within surgical images, a novel generator that leverages tool masks to disentangle the foreground and background characteristics is proposed. Besides, to retain the completeness of instruments, a novel loss function that can preserve tools' features is introduced to further supervise the model training process. We extensively evaluated our method in terms of the visual appearance of translated images and adopted an evaluation indicator Fréchet Inception Distance (FID) to verify whether the generated images are close to the target domain or not. Both the qualitative and quantitative outcomes demonstrate that our SIT-Net is superior to the traditional approach regarding surgical image translation and generation in desired scenes. © 2023 IEEE.

关键词： Robotic surgery

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：