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检索条件"机构=Tianjin Key LABORATORY for Advanced Mechatronic System Design and Intelligent Control"

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Research on vision detection technology based on photometric calibration

Research on vision detection technology based on photometric...

引用

2021 IEEE International Conference on Computer Science, Electronic Information Engineering and intelligent control Technology, CEI 2021

作者： Sun, Guoqing Zhou, Haibo Li, Chenming Zhao, Yijiao Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin300384 China

ISBN: (纸本)9780738146492

The camera is affected by illumination changes and vignetting effect during the shooting process, resulting in the lack of brightness information, which affects the accuracy of target detection. In order to reduce the impact of illumination changes and vignetting effect on image quality, obtain images closer to the real scene, and improve the accuracy of target detection, this paper conducts photometric calibration on the image from two aspects: the calibration of CRF (Camera Response Function) and the compensation function of vignetting effect. This paper first uses the N-degree polynomial model to construct the camera response function, proposes a functional model of vignetting compensation based on the position of the pixel point, and finally combines the first two experimental results and conducts experimental verification on the data set before and after the photometric calibration on different algorithms of target detection. The experimental results show that the application of photometric calibration in the field of machine vision can improve the adaptability of machine vision to illumination changes and vignetting effect to a certain extent. The self-made data set is trained and tested, when IoU is 0.7, the mAP calculated by the test set after photometric calibration is improved by 2.3% compared with the original data set. © 2021 IEEE.

关键词： Computer vision

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Exploration and Practice of Blended Teaching in the Course of Engineering Drawing Empowered by Knowledge Graph

Exploration and Practice of Blended Teaching in the Course o...

引用

International Conference on Educational and Information Technology (ICEIT)

作者： Yahong Xue Haozhi Mu Lijun Xue Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechatronical System National Demonstration Center for Experimental Mechanical and Electrical Engineering Education (Tianjin University of Technology) Tianjin University of Technology Tianjin China

ISBN: (数字)9798350372663

ISBN: (纸本)9798350372670

Under the current blended learning mode, students' ability to process, organize, and integrate knowledge is insufficient, and the ability to construct a complete knowledge system for autonomous learning is slightly weak. Taking the national first-class undergraduate course “Engineering Drawing” at tianjin University of Technology as an example, this study explores and practices the teaching of online and offline hybrid courses based on knowledge graphs, and conducts a comprehensive effectiveness analysis. Practice has proven that the hybrid teaching empowered by knowledge graphs enables visualization of knowledge points and analysis of learning situations, allows for planned learning paths, intelligent resource recommendations, and can achieve targeted integration of data and teaching of key and difficult issues. It has reference significance for the construction of an open, personalized, and precise intelligent education system.

关键词： Federated learning Engineering drawings Education Knowledge based systems Data visualization Knowledge graphs Hybrid learning

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Anomaly Detection of Logistics Packages Based on CNN and Image Recognition Technology

Anomaly Detection of Logistics Packages Based on CNN and Ima...

引用

Data Science and Computer Application (ICDSCA), IEEE International Conference on

作者： Kun Liang Hang Zhang School of Management Tianjin University of Technology Tianjin China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin China

ISBN: (数字)9798350368239

ISBN: (纸本)9798350368246

To address abnormal situations such as packaging damage, liquid leakage, and item displacement during logistics package transportation, this paper introduces Convolutional Neural Network (CNN) and image recognition technology to achieve real-time anomaly detection and alarm, improving the response speed and accuracy of the logistics system. First, by designing multiple layers of convolution and pooling layers, adding Batch Normalization layers and Dropout layers to prevent overfitting, a CNN deep learning model suitable for logistics package anomaly detection is constructed. key features are extracted through image preprocessing methods such as normalization and data enhancement to ensure that the model has high recognition adaptability to various abnormal situations such as damage and leakage. Secondly, through data enhancement methods such as rotation, scaling, brightness adjustment, and transfer learning using pre-trained models, the model's adaptability in different lighting, angles, and occlusion conditions is improved. Finally, the model is applied to actual monitoring, and real-time alarms are issued for abnormalities such as damage and leakage, which are then fed back to the system closed-loop management. This method is significantly better than traditional methods in terms of detection accuracy and response speed. Under natural light environment, the model detection accuracy is as high as 98.4%, reducing false positives and false negatives. Combining CNN's anomaly detection technology effectively improves the accuracy and efficiency of logistics monitoring and provides technical support for intelligent logistics management.

关键词： Industries Adaptation models Accuracy Image recognition Data models Real-time systems Convolutional neural networks Anomaly detection Monitoring Logistics

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Mechanism design and Motion Simulation of Mobile Robot with Compound Motion Mode

Mechanism Design and Motion Simulation of Mobile Robot with ...

引用

2021 IEEE International Conference on Electrical Engineering and mechatronics Technology, ICEEMT 2021

作者： Shi, Yanan Yang, Yuwei Liu, Zhenzhong Zhang, Haiming Tianjin University of Technology National Demonstration Center For Experimental Mechanical and Electrical Engineering Education Tianjin Key Laboratory For Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin China

ISBN: (纸本)9781665441285

Aiming at the problem of poor trafficability and difficulty in dealing with complex environment of traditional mobile robot, we proposed a climbing and hopping hybrid mobile robot. In this paper, we took the spring four-bar linkage mechanism as the hopping mechanism and the C-shaped wheel foot mechanism as the walking mechanism. Completed the structure design of the robot. Realized the assembly and disassembly of the virtual prototype, and completed the motion simulation and analysis. The results show that the robot is stable in the aspects of structure design and its jumping height can reach 988mm, and has a great potential in reconnaissance, monitoring, survey etc. © 2021 IEEE.

关键词： Mobile robots

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UWB Non-Line-of-Sight Recognition and Suppression Methodology

UWB Non-Line-of-Sight Recognition and Suppression Methodolog...

引用

International Conference on Communication Software and Networks, ICCSN

作者： Zhengshuai Ni Haibo Zhou Guozheng Zhang Wangbei Xu National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University Tianjin China

Ultra-Wide Band (UWB) positioning system has become the main research object in indoor positioning field due to its superior positioning performance. Accuracy at the scale of centimeters is achievable in an ideal positioning scenario. Nonetheless, the intricate and changeable indoor surroundings may cause UWB signals to propagate beyond the line-of-sight (LOS) and weaken in signal strength, resulting in a considerable reduction in the precision of positioning. In this paper, methods for identifying non-line-of-sight (NLOS) errors, alleviating NLOS errors, and integrating multi-sensor information are analyzed and studied to provide reference for improving the NLOS positioning accuracy of UWB.

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design and Practice of Blended Teaching Model of Engineering Professional Courses based on Outcome-based Education

Design and Practice of Blended Teaching Model of Engineering...

引用

Educational Technology (ICET), IEEE International Conference on

作者： Jinyou Xu Lei Zhang Chengjie Rui Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology National Demonstration Center for Experimental Mechanical and Electrical Engineering Education (Tianjin University of Technology) Tianjin China

In the context of engineering education, to improve the practical engineering skills of engineering students, the teaching ideas and implementation methods of the curriculum are designed based on Outcome-based Education. A blended teaching approach was used to design the implementation process to achieve the curriculum objectives. In this paper, we explain the process of blended teaching from the two aspects of basic knowledge and competency training. Active learning of basic knowledge is implemented based on a three-step blended teaching model before, after, and during classes. It adopts the project-driven learning approach of the flipped classroom model and cultivates students' ability to solve complex engineering problems through collaborative group and intra-group mutual assessment. Based on the original objective assessment of the curriculum and under the current teaching model, we design a diversified evaluation approach to comprehensively assess the effectiveness of student competence achievement. Practice has shown that project-based inquiry-based teaching methods based on the flipped classroom model can promote learning outcomes for students and increase their interest in learning. It avoids the blind and aimless theoretical learning process of the student and improves the practical ability of the student. The methods and means of instruction of teachers have been further extended, and the ability of students to learn independently has been improved.

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Optimization of Robot Hopping Mechanism Based on Parametric Model Method

Optimization of Robot Hopping Mechanism Based on Parametric ...

引用

2021 IEEE International Conference on Electrical Engineering and mechatronics Technology, ICEEMT 2021

作者： Shi, Yanan Yang, Yuwei Liu, Zhenzhong Zhang, Haiming Tianjin University of Technology National Demonstration Center For Experimental Mechanical and Electrical Engineering Education School of Mechanical Engineering Tianjin Key Laboratory For Advanced Mechatronic System Design and Intelligent Control Tianjin China

ISBN: (纸本)9781665441285

In order to solve the problem of hopping mechanism design of robot, we proposed a method of optimization of transmission mechanism based on parametric model. In this paper, the optimization of energy transfer efficiency of robot jump mechanism is completed by parametric model method through the mechanism simplification, parametric modeling and parameter optimization. The results show that the method can greatly optimize the energy transfer efficiency and reduce the driving torque required by 74.6%. It provides a feasible optimization method for the design of the robot hopping structure. © 2021 IEEE.

关键词： Energy transfer

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Simulation Study on the Influence of Drilling Parameters on the Temperature of Skull Drilling

Simulation Study on the Influence of Drilling Parameters on ...

引用

2021 IEEE International Conference on Electrical Engineering and mechatronics Technology, ICEEMT 2021

作者： Jiang, Wenyu Liu, Zhenzhong Tianjin University of Technology National Demonstration Center For Experimental Mechanical and Electrical Engineering Education School of Mechanical Engineering Tianjin Key Laboratory For Advanced Mechatronic System Design and Intelligent Control Tianjin China

ISBN: (纸本)9781665441285

Skull drilling is an important and difficult process in neurosurgical craniotomy, which will inevitably produce a lot of heat. Correct understanding of the heat production law of skull drilling has important guiding significance for craniotomy robot. In this study, cortical bone and cancellous bone were layered to establish models according to the 3D reconstruction data of skull. The finite element method based on ABAQUS is used to establish the skull drilling model and realize the simulation of bone tissue surgical instrument interaction state for surgical robot. The results show that when the drill rotation speed and feed speed increase, the drilling temperature will also increase, but the drill rotation speed will have a more significant effect on bone drilling temperature, and when the drill rotation speed is low (300r/min, 600r/min), the drill bit diameter has little effect on the drilling temperature, but when the drill rotation speed is higher (900r/min, 1200r/min), the larger diameter drill bit(11mm) will produce more drilling heat. © 2021 IEEE.

关键词： Finite element method

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Teaching Innovation and Practice of Mind Mapping Applied to Engineering Drawing Course

Teaching Innovation and Practice of Mind Mapping Applied to ...

引用

International Conference on Educational and Information Technology (ICEIT)

作者： Yahong Xue Haozhi Mu Lijun Xue Xiaofei Wang Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin China

Engineering drawing is a compulsory technical foundation course for mechanical majors. Its main task is to cultivate students' ability to draw and read engineering drawings. The content of this course is complicated and abstract and not easy to understand, which makes it difficult for students to learn. Mind mapping is a visual thinking tool to systematize and organize abstract and complicated knowledge. Taking the application of mind mapping to various teaching processes of engineering drawing course, such as the construction of framework, the sorting out of fragmented knowledge, the solution of drawing geometry and sectional view, and the group project for important and difficult content as examples, we illustrate the importance of mind map in cultivating students' knowledge generalization ability, independent learning ability, enhancing students' logical thinking, creative thinking, divergent thinking, and stimulating students' interest in learning.

关键词： Knowledge engineering Geometry Visualization Technological innovation Engineering drawings Education Task analysis

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Construction and Application of the Teaching Cloud Platform for Engineering Drawing Course

Construction and Application of the Teaching Cloud Platform ...

引用

International Conference on Educational and Information Technology (ICEIT)

作者： Yahong Xue Haozhi Mu Lijun Xue Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin China

A cloud platform for engineering drawing course teaching was proposed based on cloud station. The cloud station can solve the common problems existed in engineering drawing course, such as the difficulty of teaching, the heavy work of tutorship, the poor teaching effect, the weak spatial imagination of students, as well as the current difficulty to develop the virtual model resource base and the interaction is not strong. The platform uses Solidworks software to build 3D model library, and combines with CADbro's powerful cloud service and 3D file viewing function to realize the interaction and sharing with cloud model by using web browser. At the same time, we choose bilibili, a popular cultural site for teenagers, to release the explanation videos of exercises, and make use of the convenient way to build the cloud station to integrate, release and manage the resources. The platform realizes self-study and self-test at anytime and anywhere on both PC and mobile devices, and fast jumps the corresponding explanation video and cloud virtual model according to the demand. The virtual model in the cloud can be rotated, cut, distance measured, exploded, parts hidden, moved, 2D viewed and so on by touch. The platform is innovative, extensible, interesting and practical, which can greatly enhance the students' enthusiasm for independent learning, and it can be used reference to the development of engineering drawing teaching resources.

关键词： Cloud computing Solid modeling Three-dimensional displays Engineering drawings Education Buildings Software

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