检索结果-内蒙古大学图书馆

SSRN 2023年

作者： Mazurek, Pawel Roskosz, Maciej Kwaśniewski, Jerzy AGH University of Science and Technology Faculty of Mechanical Engineering and Robotics 30 Mickiewicza Ave. Krakow30-059 Poland

Early identification of micro defects in steel wire ropes significantly impacts structures' in-service reliability and safety. The self-magnetic flux leakage (SMFL) method is a passive variant of the magnetic flux leakage (MFL) method. The main difference is that the SMFL method relies on the self-magnetization of ferromagnetic material in a geomagnetic field, while the MFL method requires an externally formatted excitation source. Magnetic signal inspection based on the self-magnetic flux leakage (SMFL) effect can effectively identify the location of defects. However, current research on the magnetic signal of defects under the influence of various factors needs to be more comprehensive. However, no paper was found that compared different distances between discontinuities and their magnetic resolutions. This work aims to analyze the resolution of the passive magnetic method on the example of steel wire rope defect tests. The research was conducted with a sensor using the tunnelling magnetoresistance (TMR) phenomena. © 2023, The Authors. All rights reserved.

关键词： Defects

来源：评论

学校读者我要写书评

暂无评论

A focused review on three-dimensional bioprinting technology for artificial organ fabrication

A focused review on three-dimensional bioprinting technology...

引用

作者： Panda, Swati Hajra, Sugato Mistewicz, Krystian Nowacki, Bartlomiej In-Na, Pichaya Krushynska, Anastasiia Mishra, Yogendra Kumar Kim, Hoe Joon Department of Robotics and Mechatronics Engineering Daegu Gyeongbuk Institute of Science and Technology Daegu42988 Korea Republic of Institute of Physics - Center for Science and Education Silesian University of Technology Krasińskiego 8 Katowice Poland Faculty of Materials Engineering Silesian University of Technology Krasińskiego 8 Katowice Poland Department of Chemical Technology Faculty of Science Chulalongkorn University 254 Phyathai Road Wangmai Pathumwan Bangkok10330 Thailand Faculty of Science and Engineering University of Groningen Nijenborgh 4 Groningen9747 AG Netherlands Mads Clausen Institute NanoSYD University of Southern Denmark Alsion 2 Sønderborg6400 Denmark Robotics and Mechatronics Research Center Daegu Gyeongbuk Institute of Science and Technology Daegu42988 Korea Republic of

Three-dimensional (3D) bioprinting technology has attracted a great deal of interest because it can be easily adapted to many industries and research sectors, such as biomedical, manufacturing, education, and engineering. Specifically, 3D bioprinting has provided significant advances in the medical industry, since such technology has led to significant breakthroughs in the synthesis of biomaterials, cells, and accompanying elements to produce composite living tissues. 3D bioprinting technology could lead to the immense capability of replacing damaged or injured tissues or organs with newly dispensed cell biomaterials and functional tissues. Several types of bioprinting technology and different bio-inks can be used to replicate cells and generate supporting units as complex 3D living tissues. Bioprinting techniques have undergone great advancements in the field of regenerative medicine to provide 3D printed models for numerous artificial organs and transplantable tissues. This review paper aims to provide an overview of 3D-bioprinting technologies by elucidating the current advancements, recent progress, opportunities, and applications in this field. It highlights the most recent advancements in 3D-bioprinting technology, particularly in the area of artificial organ development and cancer research. Additionally, the paper speculates on the future progress in 3D-bioprinting as a versatile foundation for several biomedical applications. © 2022 The Royal Society of Chemistry.

关键词： Tissue

来源：评论

学校读者我要写书评

暂无评论

AI-Powered Drone to Address Smart City Security Issues 37th

AI-Powered Drone to Address Smart City Security Issues

引用

37th International Conference on Advanced Information Networking and Applications, AINA 2023

作者： Salama, Ramiz Al-Turjman, Fadi Culmone, Rosario Department of Computer Engineering Research Center for AI and IoT AI and Robotics Institute Near East University Nicosia Mersin 10 Nicosia Turkey Artificial Intelligence Engineering Department AI and Robotics Institute Near East University Mersin 10 Nicosia Turkey Research Center for AI and IoT Faculty of Engineering University of Kyrenia Mersin 10 Kyrenia Turkey Computer Science Division School of Science and Technology University of Camerino Camerino62032 Italy

ISBN: (纸本)9783031286933

The idea of a dazzling metropolis has drawn interest from all across the world. New innovations like blockchain, IoT, artificial intelligence, robots, and many other things were added to it. Security is one of the top issues for people living in big cities, and everyone wants to feel completely secure when traveling around every single day. In this research, we will look into how CEOs in affluent cities use and value robots, especially in terms of security. To understand the robot security the board stream, some approaches and intricacies are used. Following that is a discussion of issues with urban security and the application of artificial intelligence to drones as a management tool. The use of cutting-edge technology, such as blockchain, to support smart urban community management is covered in the last part. The smart city idea and all of its benefits for local inspection are supported by robotic use. The idea of thriving urban areas is spreading around the world and is crucial in the context of developing economies. We examined how to leverage cutting-edge technologies in this project to make it feasible. Artificial intelligence, robotics breakthroughs, and blockchain technologies all have significant effects. This research highlights their significance to analysts and how they consider them when assessing prospects. This project will be very beneficial for analysts and experts in a relevant subject. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Drones

来源：评论

学校读者我要写书评

暂无评论

Assessing Parkinson's Disease Severity Using Channel Attention and Graph Attention Networks on Kinect Skeleton Images 19

Assessing Parkinson's Disease Severity Using Channel Attenti...

引用

19th Iranian Conference on Intelligent Systems, ICIS 2024

作者： Fadaie, Fatemeh Aghapanah, Hamed Sedighifard, Alireza Shirvan, Hadi Niknam AI and Robotics University of Isfahan Department of Computer Engineering Isfahan Iran School of Advanced Technologies in Medicine Isfahan University of Medical Sciences Department of Bioelectrics and Biomedical Engineering Isfahan Iran Iran University of Science and Technology Department of Artificial Intelligence Isfahan Iran University of Tehran Faculty of New Sciences and Technologies Isfahan Iran

ISBN: (纸本)9798331507565

Parkinson's Disease (PD), a prevalent global neurological disorder, presents with motor symptoms like rigidity and tremors. Accurate severity assessment is vital for intervention evaluation. This study uses computer vision, specifically Kinect cameras and deep learning, to develop a system for assessing the severity of Parkinson's disease. Leveraging Kinect cameras' Precision in tracking key motion patterns, the system utilizes convolutional neural networks, namely Spatial-Temporal Graph Convolutional Network (STGCN) and Two-Stream Adaptive Graph Convolutional Network (2SAGCN), to detect movement anomalies and provide quantitative severity measures. A novel model is proposed, representing an enhanced version of 2SAGCN featuring a channel and graph attention module. Parkinson's severity classification comprises 11 classes based on 9 motion categories, totaling 99 classes. Three-dimensional transfer learning and data augmentation improve model Accuracy. This research advances non-invasive, quantitative Parkinson's assessment using innovative technology and advanced neural network models. The program is hosted on GitHub for implementation and result observation. The 10-fold cross-validation results of the best model, incorporating 2SAGCN structure, Graph, and Channel Attention, yield Accuracy, Precision, Recall, and F1-Score of Confidence Intervals 94.12± 0.14, 99.6 ± 0.20, 98.9 ± 0.10,99.2 ± 0.80 respectively. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Prototype of Turbine Propulsion System with Controllable Thrust Vector for Long-Range Unmanned VTOL Aircraft 21st

Prototype of Turbine Propulsion System with Controllable Thr...

引用

21st Polish Control Conference, PCC 2023

作者： Czyba, Roman Lemanowicz, Marcin Domin, Jaroslaw Grzybowski, Jacek Stępień, Izabela Ungier, Lukasz Rosiek, Radoslaw Bialas, Piotr Niemiec, Michal Department of Automatic Control and Robotics Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology ul. Akademicka 16 Gliwice44-100 Poland Department of Chemical Engineering and Process Design Faculty of Chemistry Silesian University of Technology ul. Ks. M. Strzody 7 Gliwice44-100 Poland Department of Mechatronics Faculty of Electrical Engineering Silesian University of Technology ul. Akademicka 10a Gliwice44-100 Poland

ISBN: (纸本)9783031351723

The aim of the project was to build a prototype of a turbine drive with a controllable thrust vector for a long-range vertical take-off and landing (VTOL) aircraft. The construction of the prototype required the development of a vectoring system for the tail propulsion system and a dedicated VTOL aircraft stabilization and control system. The prototype of the turbine drive system was based on energy-efficient electric motors. Research also involved modeling the turbine propulsion aerodynamics with usage of computational fluid dynamics (CFD) analysis. As a result of the design stage, a prototype of the propulsion system was created, on which flight tests were carried out. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Computational fluid dynamics

来源：评论

学校读者我要写书评

暂无评论

Transforming Classification with Federated Learning on Blockchain: A Unique Model Integration Approach

Transforming Classification with Federated Learning on Block...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Zhihao Hao Bob Zhang Haisheng Li School of Computer Science and Artificial Intelligence Beijing Technology and Business University Beijing China Dept. of Computer and Information Science Faculty of Science and Technology University of Macau Taipa Macau Centre for Artificial Intelligence and Robotics Institute of Collaborative Innovation University of Macau Taipa Macau

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

The need for robust machine learning models is particularly evident in the realm of biological pattern recognition. Traditional centralized methods often struggle, as they frequently depend on large datasets that are challenging to gather due to stringent data privacy regulations. To address these limitations while maintaining classification accuracy, we propose an innovative approach that unifies models with diverse architectures within a federated learning framework built on a blockchain network. This decentralized and trustworthy system fosters effective collaboration among various models. Furthermore, we have implemented a weight distribution mechanism designed to maximize the individual strengths of each model. By leveraging blockchains inherent transparency and auditability, this approach also ensures secure and traceable data exchanges among participants. Additionally, the adaptability of the framework allows it to be extended to other domains where privacy-preserving data sharing is critical. Our experimental results showcase that the proposed methodology significantly enhances performance in classification tasks compared to existing alternatives.

关键词： Training Adaptation models Federated learning Biological system modeling Collaboration Signal processing Regulation Blockchains Security Speech processing

来源：评论

学校读者我要写书评

暂无评论

Changes in the Heart Rate during Sleep with Menstrual Cycle under Free-Living Conditions 11

Changes in the Heart Rate during Sleep with Menstrual Cycle ...

引用

11th IEEE Global Conference on Consumer Electronics, GCCE 2022

作者： Masuda, Hazuki Okada, Shima Tanaka, Takahide Shiozawa, Naruhiro Sakaue, Yusuke Manno, Masanobu Ritsumeikan University Graduate School of Science and Engineering Shiga Japan Ritsumeikan University Faculty of Sport and Health Science Shiga Japan Department of Robotics Faculty of Science and Engineering Ritsumeikan University Shiga Japan Corp. Value Link Technology Tokyo Japan Ritsumeikan Global Innovation Research Organization Ritsumeikan University Shiga Japan

ISBN: (纸本)9781665492324

In this study, we observed the changes in the heart rate (HR) during sleep with respect to the menstrual cycle under free-living conditions. Seven female university students with normal menstrual cycles were allowed to live freely for one month without controlling their sleeping and waking times. The HR was measured by a wristwatch wearable device during nighttime sleep. Considering the circadian rhythm, the time of the lowest point of the circadian rhythm (min CR time) was estimated using HR during sleep, and the change in HR at min CR time (min HR) with menstrual cycle was evaluated. For comparison, the sublingual temperature was measured immediately after waking up as basal body temperature (BBT). The three subjects whose biological rhythms were disturbed showed no significant difference in BBT between the follicular and luteal phases. On the other hand, regarding min HR, all subjects showed a significant difference between the follicular and luteal phases (P © 2022 IEEE.

关键词： Wearable technology

来源：评论

学校读者我要写书评

暂无评论

Fabric computing: Concepts, opportunities, and challenges

引用

The Innovation 2022年第6期3卷 67-76页

作者： Min Chen Jia Liu Pan Li Hamid Gharavi Yixue Hao Jingyu Ouyang Jiayu Hu Long Hu Chong Hou Iztok Humar Lei Wei Guang-Zhong Yang Guangming Tao Wuhan National Laboratory for Optoelectronics and School of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhan 430074China National Institute of Standards and Technology(NIST) GaithersburgMD 20899-8920USA School of Optics and Electronic Information Huazhong University of Science and TechnologyWuhan 430074China Faculty of Electrical Engineering University of LjubljanaTrzaska cesta 251000 LjubljanaSlovenia School of Electrical and Electronic Engineering Nanyang Technological UniversitySingapore 639798Singapore Medical Robotics Institute Shanghai Jiao Tong UniversityShanghai 200030China State Key Laboratory of Material Processing and Die&Mould Technology School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China

With the advent of the Internet of Everything,people can easily interact with their environments *** idea of pervasive computing is becoming a reality,but due to the inconvenience of carrying silicon-based entities and a lack of fine-grained sensing capabilities for human-computer interaction,it is difficult to ensure comfort,esthetics,and privacy in smart *** by the rapid developments in intelligent fabric technology in the post-Moore era,we propose a novel computing approach that creates a paradigm shift driven by fabric computing and advocate a new concept of non-chip sensing in living *** discuss the core notion and benefits of fabric computing,including its implementation,challenges,and future research opportunities.

关键词： computing computer smart

来源：评论

学校读者我要写书评

暂无评论

Zero-Shot Kidney Stone Segmentation Based on Segmentation Anything Model for Robotic-Assisted Endoscope Navigation 16th

Zero-Shot Kidney Stone Segmentation Based on Segmentation A...

引用

16th International Conference on Intelligent robotics and Applications, ICIRA 2023

作者： Meng, Hui Chen, Lingkai Zhu, Shiqiang Fei, Chentao Zhang, Yong Zheng, Miaojuan Han, Jianda Song, Wei School of Intelligent Science and Technology Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences 1 Sub-lane Xiangshan Hangzhou310024 China Research Center for Intelligent Robotics Research Institute of Interdisciplinary Innovation Zhejiang Laboratory Hangzhou311100 China Hangzhou ElephantChain Network Technology Co. Ltd. Hangzhou China Faculty of Mechanical Engineering and Automation Zhejiang Sci-Tech University Hangzhou310018 China College of Artificial Intelligence and Tianjin Key Laboratory of Intelligent Robotics Institute of Robotics and Automatic Information Systems Nankai University Tianjin300350 China

ISBN: (纸本)9789819964888

Biomedical robotics has had a significant impact on flexible ureteroscopy (FURS) for the management of nephrolithiasis. The biomedical robots provide a suitable and safe platform for FURS. However, operating the robots expertly still represents a challenge for surgeons. Vision-based navigation is an effective means to simplify the operations of robots by surgeons, which has great potential to improve surgical efficiency. To achieve vision-based navigation, the localization of kidney stones in endoscopic images is the first step. In this paper, we propose a stone segmentation method (SSM) based on zero-shot learning, which consists of segmentation anything model (SAM), an image preprocessing module, and a mask postprocessing module. The SAM segments all objects in endoscopic images, which lack semantic information. The preprocessing module is designed to suppress interference of reflective area in endoscopic images, and the mask postprocessing module is used to filter noise masks. The experimental results on our collected endoscopic images indicate that our method achieves close accuracy on stone segmentation compared with supervised U-Net and VGG_U-Net, which significantly outperforms the Ostu and the SAM. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Endoscopy

来源：评论

学校读者我要写书评

暂无评论

Research and Simulation of Step-Up Converter of Battery Power Supply for DC Drive System

Research and Simulation of Step-Up Converter of Battery Powe...

引用

Power Electronics (Ee)

作者： Arina Arbuzina Margarita Arkharova Alexander Politsinsky Galina Demidova Akhil Garg Nikolai Poliakov Faculty of Control Systems and Robotics ITMO University St. Petersburg Russia School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China

Algorithms of evaluation battery state of charge (SoC) and power consumption should be implemented to electrical drive systems to control parameters of a battery. In the course of the work, the characteristic of discharge of the battery was obtained, the control system for a semiconductor step-up voltage converter for the battery management system (BMS) was developed, and the accuracy of the model was evaluated. A simulation model of the «PWM converter-DC drive» system with the battery was developed. Simulation results were compared with experimental data and conclusions were drawn about the possibility of determining the SoC of the battery.

关键词：

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：