检索结果-内蒙古大学图书馆

World engineering Education Forum - Global engineering Deans Council (WEEF-GEDC)

作者： Ricardo A. Diogo André L.A.C. Venâncio Maria Angela M. Roveredo Santos Eduardo F.R. Loures Neri dos Santos Knowledge Engineering&Management Graduate Program Federal University of Santa Catarina Florianopolis Brazil Industrial&Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Brazil Control and Automation Engineering/Mechatronics Engineering Pontifical Catholic University of Parana Curitiba Brazil

ISBN: (纸本)9781665424899

This paper presents the context of the Ubiquitous Computing course carried out in an Industrial engineering undergraduate program throughout 2020 and the first semester of 2021. This course took advantage of the Institutional Modernization Program led by the control and automation engineering Undergraduate Program, which consists in the modernization of undergraduate engineering programs at the Pontifical Catholic University of Paraná. The course aimed to help develop competencies, i.e., a set of knowledge, skills, and attributes aligned with Student Outcomes suggested by ABET. Also, the course proposal brought the productive sector very close to the academic environment, proposing real engineering problems as challenges. However, what are the methods and assessment tools for practical learning in a course with modern elements? This paper proposed the flipped learning and the Challenge-Based Learning Framework with the support of the CDIO Framework as learning methodologies to answer such question. Additionally, quizzes, tests, presentations, rubrics, and peer evaluation were applied as assessment tools to measure the student's progress. Finally, students were listened to about their perceptions during the course. The results suggested that the learning methodologies and assessment tools are suitable for the course context, although some improvements are expected for the following course offers. Moreover, students approved the initiative to bring in real challenges proposed by companies, the mentoring hours, and the feedback about the projects.

关键词： automation Companies Industrial engineering Ubiquitous computing Proposals Mentoring engineering education

来源：评论

学校读者我要写书评

暂无评论

Evacuation control of Crowds of Pedestrians: Distributed or Decentralized? ⁎

引用

IFAC-PapersOnLine 2020年第5期53卷 318-323页

作者： Kecai Cao YangQuan Chen Chenglin Liu Nanjing Institute of Technology Nanjing 211167 China Mechatronics Embedded Systems and Automation Lab School of Engineering University of California Merced CA USA 95343 Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University Wuxi 214122 China

Evacuation of crowds in a corridor with only one exit has been considered in this paper where distributed controllers have been constructed to regulate the crowd’s evacuation speed so that stampede tragedy can be avoided. Macroscopic model for crowds of pedestrians has been firstly derived based on inspiration of LWR (Lighthill-Whitham and Richards) model and Greenshields model from traffic system where finite volume method has been introduced to simplify the obtained PDEs into finite ODEs. Distributed evacuation controllers have been constructed based on inspiration of multi-agent system and stability analysis of obtained closed-loop system has been simplified to linear system with the delicate controllers proposed. Comparisons between distributed evacuation controllers and previous evacuation controllers have also been presented to show the advantages and disadvantages of different controllers under different initial density of crowds so that tragedy of crowd stampede can be effectively avoided with appropriate selection of different controllers.

关键词： Distributed evacuation controller Decentralized evacuation controller Stampede

来源：评论

学校读者我要写书评

暂无评论

Generalized Predictive Analysis of Reactions in Paper Devices Via Graph Neural Networks

SSRN

引用

SSRN 2024年

作者： Sun, Hao Pan, Yihan Dong, Hui Liu, Canfeng Yang, Jintian Tao, Yihui Jia, Yuan School of Mechanical Engineering and Automation Fuzhou University Fuzhou China School of Mechatronics Engineering Harbin Institute of Technology Harbin China Fuzhou University China Department of Automation Control and System Engineering University of Sheffield Sheffield United Kingdom Sino-German College of Intelligent Manufacturing Shenzhen Technology University Shenzhen China

Microfluidic technology facilitates high-throughput generation of time series data for biological and medical studies. Deep learning enables accurate, predictive analysis and proactive decision-making based on autonomous recognition of intricate pattern hidden in series. In this work, we first devised a paper-based microfluidic system for portable nucleic acid amplification test with economic energy consumption. Then, we employed Graph Neural Network (GNN), distinguished by its non-Euclidean data structure tailored for deep learning, with spatio-temporal attention mechanism to perform near-sensor predictive analysis of the on-chip reaction. Our findings demonstrated that the novel GNN model can provide accurate predictions of positive outcomes at the early stages of the reaction using less than one-third of the total reaction time. Then, the deep learning model trained by on-chip data was subsequently applied to more than 900 clinical plots. Generalization of the GNN model was successfully validated across different detection methods, diverse types of datasets and time series with variable length. Accuracy, sensitivity and specificity of the predictive approach were 96.5%, 94.3% and 99.0% by utilizing the early half of reaction information. Finally, we compared the GNN model with various deep learning models. Despite differences in the prediction of negative samples among various models were minute, GNN obviously offered overall superior performance. This work ignites a cutting-edge application of deep learning in point-of-care and near-sensor tests. By harnessing the power of body area networks and edge/fog computing, our approach unlocks promising possibilities in diverse fields like healthcare and instrument science. © 2024, The Authors. All rights reserved.

关键词： Energy utilization

来源：评论

学校读者我要写书评

暂无评论

Friction feedforward compensation and position feedforward in CNC machines

Friction feedforward compensation and position feedforward i...

引用

International Conference on Electrical engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON

作者： Wijin Suteeratanapirom Rapeepong Rattanawaorahirankul Chutima Laosapan Peerayot Sanposh Nattapon Chayopitak Kanokvate Tungpimolrut Hiroaki Kunieda TAIST Tokyo Technology China Intelligent Mechatronics Automation Robotics and Control Laboratory Department of Electrical Engineering Kasetsart University Bangkok Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center Klong Luang Pathum Thani Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology Meguro Tokyo Japan

ISBN: (纸本)9781424456062;9789746724913

This research proposes a method to eliminate friction effect and reduced tracking error on CNC milling machines. A CNC milling machine has many connected mechanical components which have friction effects such as ball screws and rails. To control servo motors which are used to drive X-Y table in CNC milling machine, the conventional PID controller is widely used. In this research, Panasonic motor driver is set to the torque control mode. To compensate the friction effects, the friction feedforward compensation method is proposed. Moreover, to reduce the position tracking error, position feedforward controller is used. The simulation and implementation of position control in one axis of PID with Friction Feedforward Compensation and Position Feedforward controller (FFC-PFC) are presented.

关键词： Friction Computer numerical control Metalworking machines Servomotors Three-term control Fasteners Rails Servomechanisms Torque control Error correction

来源：评论

学校读者我要写书评

暂无评论

Utilizing the Natural Dynamics of Elastic Legged Robots for Periodic Jumping Motions

Utilizing the Natural Dynamics of Elastic Legged Robots for ...

引用

IEEE-RAS International Conference on Humanoid Robots

作者： Fabian Beck Maximilian Rehermann Johann Reger Christian Ott German Aerospace Center (DLR) Institute of Robotics and Mechatronics Wessling Germany Control Engineering Group Technische Universität Ilmenau Ilmenau Germany Automation and Control Institute Technische Universität Wien Vienna Austria

ISBN: (纸本)9798350309805

This work focuses on the energy efficient control of a planar bipedal robot by using elastic elements in the joints for short-term energy storage. The considered biped exhibits three degrees of freedom per leg and each joint is equipped with a series-elastic actuator (SEA). A controller is developed to enable point foot hopping based on the spring loaded inverted pendulum template. The control design was split into the high-level rigid-body and the elastic dynamics and is validated for hopping motions by numerical simulations. A high -level reference design is proposed, which enables that the elastic system can outperform the corresponding rigid counterpart with regard to energy efficiency in stance phase by more than 50 percent.

关键词： Legged locomotion Technological innovation Dynamics Torque control Humanoid robots Europe Energy efficiency

来源：评论

学校读者我要写书评

暂无评论

Ischemia Prediction via ECG using MLP and RBF predictors with ANFIS Classifiers

Ischemia Prediction via ECG using MLP and RBF predictors wit...

引用

2011 Seventh International Conference on Natural Computation(第七届自然计算国际会议 ICNC 2011)

作者： Hoda Tonekabonipour Ali Emam Mohamad Teshnelab Mehdi Aliyari Shoorehdeli Mechatronics Department Qazvin Islamic Azad University Qazvin Iran Electrical Engineering K.N.Toosi University of Technology Tehran Iran Advanced Process Automation and Control (APAC)

In this paper, a new algorithm is presented in using Multi Layer Perceptron (MLP) and Radial Base Function (RBF) to predict Ischemia diseases by Electrocardiogram (ECG) signals. The process would be very difficult due to non-stationary and nonlinear characteristics of ECG signals. MLP and RBF algorithms are well known in predicting the problems. However, they have not been used for real time prediction through signals, especially bio signals such as ECG. Pre-processing is necessary for ECG signal in order to detect QRS complex. Regarding the extract influential features in Ischemia disease, the baseline wandering and noise suppression are done. MLP and RBF, the predictors, are employed to foresee the further next beats in ECG signals. The validity of predictor accuracy is evaluated by Root Mean Square Error (RMSE) criterion. After the prediction stage, The predicted beats are classified by Adaptive Neuro-Fuzzy network (ANFIS) classifier as ischemic and normal. MLP and RBF are tested for their abilities in order to predict Ischemic Heart Disease (IHD) upon ECG signals. The performances of classified beats are evaluated based on computed Sensitivity (Se) and Specificity (Sp). In this study several ECG signals recorded by European Society of Cardiology for ST-T database are used. By applying prediction methods (Direct and Recursive Predictions) 48 steps can be predicted ahead in ECG signal. Then the predicted beats are classified as Ischemic or normal beats. Therefore, the ischemic beats can be predicted in 48 steps ahead. By comparing the results obtained in this study, the MLP and RBF networks are evaluated for their capabilities in predicting Ischemia. According to this comparison, MLP shows better results and the results of ANFIS as a classifier has been satisfactory enough in classification of Ischemic beats. Therefore, these results can be used for early diagnosis of Ischemic Heart Disease (IHD).

关键词： RBF MLP ANFIS Neuro-Fuzzy ECG Prediction Classification.

来源：评论

学校读者我要写书评

暂无评论

Fabrication grammars: bridging design and robotics to control emergent material expressions

引用

Construction Robotics 2021年第1期5卷 35-48页

作者： Iremnur Tokac Johan Philips Herman Bruyninckx Andrew Vande Moere Design Department of Architecture KU Leuven Leuven Belgium Robotics Automation and Mechatronics Department of Mechanical Engineering KU Leuven Leuven Belgium Flanders Make@KU Leuven Core Lab ROB Heverlee Belgium Control Systems Technology Department of Mechanical Engineering Technical University Eindhoven Eindhoven Netherlands

Designers physically engage with a material to experience how certain characteristics allow the fabrication of unique expressions. In digital fabrication, however, this improvisational negotiation is typically replaced by a virtual simulation that predicts how a material expression can be fabricated, limiting the resulting design language to algorithmic forms. In contrast, we believe that digital fabrication can also produce ‘emergent’ material expressions that are so confounded that they appear slightly differently even when being produced by identical operations. This paper argues that such expressions can be executed by a domain-driven feedback paradigm, which integrates a human-in-the-loop to encode the tacit fabrication knowledge that is generated by reviewing intermediate outcomes. We encode this tacit knowledge by fabrication grammars, rule-based descriptions that causally relate fabrication parameters to qualitative descriptions of material expressions. By documenting a set of Single Point Incremental Forming experiments, this paper demonstrates how emergent material expressions can be controlled by semantically meaningful fabrication grammars, which even can be combined towards purposeful design goals. We believe our findings might allow the digital fabrication of material expressions that appear to have been produced manually or naturally; and support the future sharing of tacit fabrication knowledge.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Identification of linear parameter varying systems with missing output data using generalized expectation-maximization algorithm 19

Identification of linear parameter varying systems with miss...

引用

19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Yang, X. Xiong, W. Huang, B. Gao, H. Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin Heilongjiang150080 China Jiangnan University Wuxi Jiangsu214122 China Department of Chemical and Materials Engineering University of Alberta EdmontonABT6G 2G6 Canada Research Institute of Mechatronics and Automation Bohai University Jinzhou121013 China

ISBN: (纸本)9783902823625

This paper is concerned with the identification problems of linear parameter varying (LPV) systems with randomly missing output data. Since one local linearized model cannot capture the global dynamics of the nonlinear industrial process, the multiple-model LPV model in which the global model is constructed by smoothly weighted combination of multiple local models is considered here. The problem of missing output variables data is commonly encountered in practice. In order to handle the multiple-model identification problems of LPV systems with incomplete data, the local model is taken to have a finite impulse response (FIR) model structure and the generalized expectation-maximization (EM) algorithm is adopted to estimate the unknown parameters of the global LPV model. To avoid the problems of ill-conditioned matrices and high sensitivity of parameters to noise, the prior information on the coefficients of each local FIR model is employed to construct the prior probability of unknown parameters. Then the maximum a posteriori (MAP) estimates of the global model parameters are derived via the generalized EM algorithm. The numerical example is presented to demonstrate the effectiveness of the proposed method. © IFAC.

关键词： Parameter estimation

来源：评论

学校读者我要写书评

暂无评论

Identification, Prediction and Detection of the Process Fault in a Cement Rotary Kiln by Locally Linear Neuro-Fuzzy Technique

Identification, Prediction and Detection of the Process Faul...

引用

International Conference on Computer and Electrical engineering, ICCEE

作者： Masoud Sadeghian Alireza Fatehi Department of Mechatronics Engineering Sharif University of Technology International Campus Kish Island Iran Advanced Process Automation and Control (APAC) Research group Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Iran

In this paper, we use nonlinear system identification method to predict and detect process fault of a cement rotary kiln. After selecting proper inputs and output, an input-output model is identified for the plant. To identify the various operation points in the kiln, Locally Linear Neuro-Fuzzy (LLNF) model is used. This model is trained by LOLIMOT algorithm which is an incremental tree-structure algorithm. Then, by using this method, we obtained 3 distinct models for the normal and faulty situations in the kiln. One of the models is for normal condition of the kiln with 15 minutes prediction horizon. The other two models are for the two faulty situations in the kiln with 7 minutes prediction horizon are presented. At the end, we detect these faults in validation data. The data collected from White Saveh Cement Company is used for in this study.

关键词： Fault diagnosis Fault detection Kilns Production facilities Electrical fault detection Fuzzy systems Delay estimation Nonlinear systems Predictive models automation

来源：评论

学校读者我要写书评

暂无评论

Indoor 3D scene reconstruction for mobile robots using Microsoft kinect sensor

Indoor 3D scene reconstruction for mobile robots using Micro...

引用

Chinese control Conference (CCC)

作者： Jiang-Wei Li Ding-Fu Zheng Zhi-Hong Guan Chao-Yang Chen Xiao-Wei Jiang Xian-He Zhang College of Automation Huazhong University of Science and Technology Wuhan Hubei CN School of Information and Electrical Engineering Hunan University of Science and Technology Xiangtan Hunan CN College of Mechatronics and Control Engineering Hubei Normal University Huangshi CN

ISBN: (纸本)9781509009107

3D mapping for unknown environments is a crucial issue for mobile service robots, which has many important applications in navigation and path planning. In this paper, we use Microsoft kinect sensor mounted on a mobile robot to obtain 3D map. During the process, consistent frames of RGB-D data are captured and integrated. Iterative Closest Point (ICP) algorithm and incremental registration method are employed to perform the fine registration. Furthermore, we use OctoMap to store 3D map of octree representation, an efficient data structure. Finally, our results demonstrate the practical applicability and effectiveness of the proposed approach.

关键词： Three-dimensional displays Robot sensing systems Cameras Two dimensional displays Iterative closest point algorithm Mobile robots

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：