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检索条件"任意字段=Conference on Process Imaging for Automatic Control"

共 467 条记录，以下是41-50 订阅

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Analysis and Simulation of Dynamic Characteristics for Multi-Split Transmission Line Splicing Pipe Flaw Detection Robot 8

Analysis and Simulation of Dynamic Characteristics for Multi...

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8th International conference on Advances in Machinery, Materials Science and Engineering Application (MMSE)

作者： Zou, Dehua Jiang, Zhipeng Qiao, Minmin Liu, Lanlan Jiang, Wei Yi, Qianwei State Grid Hunan EHV Transmiss Co Hunan Prov Key Lab Intelligent Live Working Techn Changsha 410100 Hunan Peoples R China State Grid Hunan EHV Transmiss Co Live Inspect & Intelligent Operation Technol Changsha 410100 Hunan Peoples R China Wuhan Textile Univ Hubei Key Lab Digital Textile Equipment Wuhan 40200 Peoples R China Three Gorges Univ Coll Int Commun Yichang 443000 Peoples R China

ISBN: (纸本)9781643683225;9781643683232

The splicing pipe is an important hardware on multi-split transmission lines. The quality of its crimping and internal structure directly affects the normal and stable operation of the transmission line. The online flaw detection robot for the splicing pipe is an important means to realize the automatic flaw detection of the splicing pipe. This paper on the basis of proposing a robot mechanism configuration suitable for multi-split transmission line splicing pipe flaw detection, aiming at the matching relationship between the imaging plate movement and the mechanism joint driving torque during the splicing pipe flaw detection process, a flaw detection method is established by using the Lagrangian method. The dynamic model of the operation process of the imaging board is installed, and the relationship between the joint motion of each mechanism and the pose change of the imaging board in the area under the jurisdiction of the four-split wire is analyzed. The displacement and velocity curves of each joint motion of the robot can be obtained. From the simulation results, it can be known that the joint motion of the robot is continuous and stable, and the motion of the imaging plate is driven continuously and smoothly, which realizes the coordinated pose control between the imaging probe and the imaging plate. Coupling pipe flaw detection operation, the research in this paper has important theoretical significance and practical application value for the design of the transmission line joint pipe flaw detection robot system, especially the joint drive mechanism design.

关键词： Multi-split power transmission wire flaw detection robot imaging plate movement dynamic characteristics

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conference Program

Conference Program

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Sciences and Techniques of automatic control and Computer Engineering MI-STA, IEEE International Maghreb Meeting of the conference on

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A Framework for automatic Following Based on Visual Tracking for Quadruped Robots

A Framework for Automatic Following Based on Visual Tracking...

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Robotics, control and Automation (ICRCA), International conference on

作者： Guorong Chen Qihan Fan Xiaonan Hou Robotics Engineering Center Group Corporation The 21 Research Institute of China Electronics Technology Shanghai China

ISBN: (数字)9798350344721

ISBN: (纸本)9798350344738

This paper proposes a TOF camera-based auto-matic following framework for quadruped robots, enabling them to track multiple categories of targets and avoid obstacles. Our framework consists of a single target tracking module, a coordinate transformation module, and a navigation module. Specifically, Mixformer is used to obtain the pixel coordinates of the target in the image, and the principles of pinhole imaging are employed to convert these coordinates, along with the depth image, into 3D coordinates and an environmental point cloud. Based on the target's 3D coordinates and the environmental point cloud, the navigation module plans a real-time tracking path that avoids obstacles. Our framework can achieve real-time and stable tracking and obstacle avoidance without additional tags. Experimental validation has confirmed the effectiveness of our framework.

关键词： Point cloud compression Visualization Target tracking Three-dimensional displays Navigation Robot kinematics process control

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Image Enhancement Method for Arc Welding process Monitoring in the Present of Strong Arc Light Interference 7th

Image Enhancement Method for Arc Welding Process Monitoring ...

引用

7th International conference on Nanomanufacturing, nanoMan2021

作者： He, Xinxin Liu, Bin Yang, Fan Wang, Zhongya Wen, Yaxin Zhang, Baofeng School of Electrical and Electronic Engineering Tianjin University of Technology Tianjin China Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems Tianjin China Co. Ltd. Tianjin China University of Technology Tianjin China

ISBN: (纸本)9789811919176

The application of vision technology plays a significant role in the development of intelligent automatic welding. However, the welding process would produce strong arc light. The arc light seriously reduces the imaging quality of the vision system. In this case, the function of vision auxiliary would fail. The operation of a suitable image enhancement algorithm is capable of solving the problems caused by the strong arc light, such as nonuniform brightness, the loss of edges and low signal-to-noise. In this paper, image enhancement algorithm was studied to solve the imaging interference caused by the strong arc light. According to the characteristic of captured image, the advantage of LIME algorithm was analyzed. Then suitable filtering method was introduced into LIME to improve the enhancement. Experimental results showed that the algorithm could balance the global brightness and suppress the intensity of the strong light area. Furthermore, the original object contour details could be restored to optimize the visual effect. By investigating the effect of various low-light image enhancement algorithms from both subjective and objective aspects, the combined algorithm was proved to be effective. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Image enhancement

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Personalized Diagnosis and Treatment Using Digital Twins in Ophthalmology

Personalized Diagnosis and Treatment Using Digital Twins in ...

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IEEE International conference on Engineering, Technology and Innovation

作者： Miruna-Elena Iliuţă Mihnea Alexandru Moisescu Eugen Pop Traian Costin Mitulescu Faculty of Automatic Control and Computers University POLITEHNICA of Bucharest Bucharest Romania University of Medicine and Pharmacy “Carol Davila Bucharest Romania

ISBN: (数字)9798350362435

ISBN: (纸本)9798350362442

A Digital Twin represents a virtual representation of a physical entity, obtained through modelling and aggregation of it's real data, behavior, and communication. Digital Twin constitute a digital replica of the corresponding object or process, being able to provide their real-time assessment and monitoring. When applied in health care, the Digital Twin has the potential to enable the connection between the physical world and the cyber world. In this paper, a Digital Twin for patient healthcare in Ophthalmology is discussed, with a focus on a generic architecture supported by two specific use cases for decision-making in the process of diagnosis, prediction and monitoring of glaucoma and selecting the optimal treatment solution.

关键词： Glaucoma Technological innovation Decision making Medical services Real-time systems Data models Digital twins Ophthalmology Monitoring Medical diagnostic imaging

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Development of a Methodology for the Formation of Surface Systems with Programmable Nanostructure Parameters for Effective Use in Modern Manufacturing 6

Development of a Methodology for the Formation of Surface Sy...

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conference on Emerging imaging and Sensing Technologies for Security and Defence VI

作者： Volosova, Marina A. Sotova, Catherine Minin, Ilya, V Ryabtsev, Sergey Bublikov, Jury Sadov, Ilya Pivkin, Petr M. Moscow State Univ Technol STANKIN Dept High Efficiency Proc Technol Moscow 127055 Russia Moscow State Univ Technol STANKIN Dept Cutting Tools & Machining Technol Moscow 127055 Russia Moscow State Univ Technol STANKIN Lab Micromachining Technol Moscow 127055 Russia Moscow State Univ Technol STANKIN Ctr Cognit Technol & Machine Vis Moscow 127055 Russia Russian Acad Sci IDTI RAS Inst Design & Technol Informat Moscow 127994 Russia

ISBN: (数字)9781510645813

ISBN: (纸本)9781510645813;9781510645806

The paper discusses the development and application of nanostmctured surface systems for a wide range of applications. By programming the parameters of the CAA-PVD (controled Accelerated Arc-PVD) Deposition process, it becomes possible to effectively control the performance properties of surface modifying systems and products with such systems. Modification of the surface properties of products such as cutting tools, friction pairs and medical implants provides an optimal combination of properties such as surface hardness and plasticity, high adhesion to the substrate and low adhesion to the counterbody material. The strict determinism of the process parameters allows it to be included in the automatic control system of modem manufacturing with significant energy savings and a high level of environmental safety.

关键词： CAA-PVD coating nanostmctured surface systems cutting tools automatic control system

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imaging Histopathology of Breast Cancer for Detection

Imaging Histopathology of Breast Cancer for Detection

引用

Sciences and Techniques of automatic control and Computer Engineering MI-STA, IEEE International Maghreb Meeting of the conference on

作者： M. Thabet H. Maghfiroh Electrical and Electronics Engineering University of Tripoli Tripoli Libya Department of Electrical Engineering Universitas Sebelas Maret Surakarta Indonesia

ISBN: (数字)9798350372632

ISBN: (纸本)9798350372649

Breast cancer is the most common type of cancer seen in women globally, accounting for the majority of cancer-related fatalities in this population. Breast cancer is a serious global health problem. The most common subtype of breast cancer is invasive ductal carcinoma (IDC), which accounts for around 80% of all instances of the disease that are detected. Efficient and accurate diagnosis of this illness is essential for choosing the best course of therapy and improving the prognosis of those who are afflicted. In this study, we present a reliable diagnosis tool based on Convolutional Neural Networks (CNN s) to improve patient survival rates by increasing the number of patients diagnosed early. The process of doing this usually involves the reuse of pre-trained CNN model pieces in a new CNN model through a process known as transfer learning. This approach is employed because a pre-trained CNN already knows how to extract useful and insightful features from a large collection of pictures, and fine-tuning a CNN via transfer learning is frequently quicker and simpler than building and training a new CNN network from the ground up. In this study, we re-trained three pre-trained CNNs (EffecientNet V2, Inception, and Xception) using a fresh dataset of IDC and Non-IDC pictures. By employing the EffecientNet V2 model, we were able to achieve a prediction accuracy of up to 99.56%.

关键词： Training Accuracy Computational modeling Transfer learning Sociology Feature extraction Breast cancer

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On the Application of Robust Mean Shift Procedure for the Enhancement of Noisy Color Images 10

On the Application of Robust Mean Shift Procedure for the En...

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10th IEEE Jubilee International conference on Computational Cybernetics and Cyber-Medical Systems, ICCC 2022

作者： Kusnik, Damian Smolka, Bogdan Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Gliwice Poland

ISBN: (数字)9781665481779

ISBN: (纸本)9781665481779

Image corruption due to noise disturbances severely decreases color image quality and therefore image enhancement is a vital step of the processing pipeline. Our approach modifies the standard Mean-Shift technique, so that the algorithm is able to work directly on noisy color images and offers very satisfying denoising results. The proposed Robust Mean-Shift is resistant to the mixed Gaussian and impulsive noise and can be used in various practical imaging tasks. The described technique has been validated on a database containing a variety of color images contaminated with various noise intensity levels and the obtained results show that it significantly excels the classical Mean-Shift algorithm. Image noise is to large extent suppressed, edges are sharpened and details are retained which enables the improvement of the image segmentation process. © 2022 IEEE.

关键词： Image denoising

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Digitalization and Integration Cloud Solutions for Healthcare Information Systems 4

Digitalization and Integration Cloud Solutions for Healthcar...

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4th International conference on control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2022

作者： Gorvunova, Valentina Kukhtevich, Igor Goryunova, Tatyana State Fire Academy of Emercom of Russia Moscow Russia Penza Institute for Advanced Medical Education - Branch Campus of the Fsbei Fpe Rmacpe Moh Russia Penza Russia V A Trapeznikov Institute of Control Sciences of Russian Academy of Sciences Moscow Russia

ISBN: (数字)9781665456593

ISBN: (纸本)9781665456593

Infocommunication technological solutions in healthcare are an environment at the intersection of information technologies, achievements in medical science, the work of medical institutions, insurance companies, doctors and patients. The authors emphasize that in addition to this, there is a clear trend towards personalized medicine, which will be most effective when using cloud technologies. It is noted that medical organizations mainly use information systems that ensure the transfer of financial, operational and personnel applications to the cloud. With the advent of new digital services, there is also an increasing need for cloud transformation of key medical systems and applications to improve the quality of patient care. The article discusses aspects of the implementation of cloud infrastructure solutions in the process of automating various clinical areas. It highlights the need for integrated healthcare solutions including medical imaging and emergency medical care. The possibility of combining applications, servers and databases used by various organizations (health authorities, medical organizations, research centers, etc.) into a common network using modern cloud platform solutions is noted. The aspects of standardization of medical information systems and the use of standard products, including ontologies, are noted. The task of the near future is the development of cloud solutions in the intelligent assistant to the doctor, including the introduction of integrated clinical applications, automatic quality control of medical care and other areas. The possibility of developing universal interfaces for integrated clinical applications is being considered. This is especially important in emergency situations. © 2022 IEEE.

关键词： Medical information systems

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Dynamic Fluorescent imaging for Robotic Patch Clamp in vivo: Modeling and control

Dynamic Fluorescent Imaging for Robotic Patch Clamp in vivo:...

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Chinese control conference (CCC)

作者： Ruimin Li Jinyu Qiu Minghui Li Mingzhu Sun Xin Zhao Qili Zhao Institute of Robotics and Automatic Information System (IRAIS) Nankai University Tianjin China Tianjin Key Laboratory of Intelligent Robotic (tjKLIR) Nankai University Tianjin China Institute of Intelligence Technology and Robotic Systems Shenzhen Research Institute of Nankai University Shenzhen China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology Beijing China

Fluorescent imaging through fluorescent dye injection is the key technique for lighting the in vivo environment and localizing the target cell in it for patch clamp operation in vivo. At present, manual fluorescent imaging is usually a labor-intensive high-skill requisite work, significantly limiting the application of patch clamp operation in vivo. In this paper, a computational modeling of the diffusion process of the injected fluorescent dye is established using the commercial ANSYS Fluent software. Based on this model, the distribution of the mass fraction, proven to be linearly related to fluorescence intensity, was calculated to simulate the fluorescent field formed by fluorescent dye injection. Further, an ADRC controller was developed to generate feedback-controlled fluorescent fields. With the above model and controller, a mobile fluorescent field, and varying fluorescent field with constant mass fraction at the target position are generated to fulfill the requirement of in vivo environment observation, search and localization of the target cell in patch clamp operation, respectively. The above results prove the feasibility of ADRC-controlled dynamic fluorescent imaging in the patch clamp operation in vivo.

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