检索结果-内蒙古大学图书馆

10th International Multidisciplinary engineering Research Conference on Moratuwa engineering Research, MERCon 2024

作者： De Silva, Dilmie Pieris, Sulaksha Perera, Eranja De Silva, H.H.M.J. Gopura, R.A.R.C. Ranaweera, R.K.P.S. Hordagoda, M. Jayasekera, A.G.B.P. University of Moratuwa Bionics Lab Dept. of Mech. Engineering Moratuwa Sri Lanka University of Moratuwa Robotics and Automation Lab Dept. of Electrical Eng Moratuwa Sri Lanka

ISBN: (纸本)9798331529048

This paper proposes a wheeled mobility device specifically designed to facilitate chair transfers. This design introduces a novel seating function that can be used as a conventional wheelchair. It also includes an innovatively designed seat to enhance patient comfort during transfer and transport. In addition to this, the design integrates a specialized Stand Assistive Device to assist patients in standing and sitting. It includes several user-friendly features, a parallelogram mechanism that ensures that the user stays upright during the process and a lower limb locking mechanism to ensure stability. It also incorporates low physical strain to the caregiver providing a safe and feasible operation. An experiment was conducted to observe the path of the shoulder joint during assisted standing. The results obtained by this was integrated into the kinematic analysis of the Stand Assist Device. A kinetic analysis of the user and the Stand Assist device is presented in the paper. A functional prototype, incorporating several safety features, was fabricated and tested by four healthy users with varying anthropometric data. © 2024 IEEE.

关键词： Seats

来源：评论

学校读者我要写书评

暂无评论

Implicit Grasp Diffusion: Bridging the Gap between Dense Prediction and Sampling-based Grasping 8

Implicit Grasp Diffusion: Bridging the Gap between Dense Pre...

引用

8th Conference on Robot Learning, CoRL 2024

作者： Song, Pinhao Li, Pengteng Detry, Renaud KU Leuven Dept. Mechanical Engineering Research Unit Robotics Automation and Mechatronics Belgium KU Leuven Dept. Electrical Engineering Research Unit Processing Speech and Images Belgium AI Thrust Hong Kong

There are two dominant approaches in modern robot grasp planning: dense prediction and sampling-based methods. Dense prediction calculates viable grasps across the robot's view but is limited to predicting a fixed number of grasps per voxel. Sampling-based methods, on the other hand, encode multi-modal grasp distributions, allowing for different grasp approaches at a point. However, these methods rely on a global latent representation, which struggles to represent the entire field of view, resulting in coarse grasps. To address this, we introduce Implicit Grasp Diffusion (IGD), which combines the strengths of both methods by using implicit neural representations to extract detailed local features and sampling grasps from diffusion models conditioned on these features. Evaluations on clutter removal tasks in both simulated and real-world environments show that IGD delivers high accuracy, noise resilience, and multi-modal grasp pose capabilities. Our code is freely available at https://***/detry-lab/public/***. © 2024 Proceedings of Machine Learning Research.

关键词： Robot programming

来源：评论

学校读者我要写书评

暂无评论

Microfluidic Lab-on-a-Chip Design and Analysis for GFAP Biomarker Detection Using Machine Learning Algorithms 3

Microfluidic Lab-on-a-Chip Design and Analysis for GFAP Biom...

引用

3rd International Conference on Communication, Control, and Intelligent Systems, CCIS 2024

作者： Balaji, P. Devasena, D. Rithick, P. Karthi, T. Rishmitha, K. Roopa, R. Sri Ramakrishna Engineering College Dept. Of. Electronics and Instrumentation Engineering Tamilnadu Coimbatore India Sri Ramakrishna Engineering College Dept. of Robotics and Automation Engineering Tamilnadu Coimbatore India Kongu Engineering College Dept. of Automobile Engineering Erode India Science Arjun College of Technology Dept. of Artificial Intelligence and Data Tamilnadu Coimbatore India

ISBN: (纸本)9798331528201

The detection of Glial Fibrillary Acidic Protein (GFAP) is a crucial biomarker for diagnosing neurological conditions such as traumatic brain injuries (TBI) and astrocytoma. This paper presents the design and analysis of a novel microfluidic Lab-on-a-Chip (LoC) platform for GFAP biomarker detection. The system integrates microfluidic channels with embedded gold nanoparticle-functionalized electrochemical sensors for high-sensitivity biomarker capture. The microfluidic chip is designed using soft lithography and PDMS (Polydimethylsiloxane), allowing for precise fluid handling and minimal sample consumption. The electrochemical sensors generate voltage signals corresponding to GFAP concentration levels, which are processed using digital filtering techniques to mitigate noise and improve signal quality. For accurate biomarker quantification, machine learning algorithms, including Random Forest ,KNN and Support Vector Machine (SVM), are employed to classify sensor output data into clinically significant concentration ranges. The model is trained on both simulated and experimentally collected sensor data, achieving an accuracy of over 93 percent in distinguishing low (below 50 ng/mL) and high (above 50 ng/mL) GFAP concentrations. The combination of microfluidic precision, sensitive electrochemical detection, and data analysis enables rapid and reliable detection of GFAP , providing a scalable and portable solution for early diagnosis of brain injuries and neurodegenerative diseases. This system highlights the potential of integrating microfluidics and machine learning in next-generation point-of-care diagnostic devices. © 2024 IEEE.

关键词： Polydimethylsiloxane

来源：评论

学校读者我要写书评

暂无评论

Using The Machine Learning Method in Portable ECG Monitoring System to Identify Diagnostically Complex Heart Diseases 24

Using The Machine Learning Method in Portable ECG Monitoring...

引用

24th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2023

作者： Yerkebay, Aidana K. Alimbayeva, Zhadyra N. Alimbayev, Chingiz A. Ozhikenova, Aiman K. Bayanbay, Nurlan A. Ozhikenov, Kassymbek A. Satbayev University Dept. of Robotics and Technical Means of Automation Almaty Kazakhstan Satbayev University Kazakh National Women's Teacher Training University Dept. of Robotics and Technical Means of Automation Almaty Kazakhstan Satbayev University U. Joldasbekov Institute of Mechanics and Engineering Almaty Kazakhstan

ISBN: (纸本)9798350336870

Due to the high level of disability and death caused by heart diseases worldwide, the problem of combating cardiovascular diseases is becoming more and more important and relevant. In fact, one of the leading causes of death worldwide has long been cardiovascular disease, according to the World Health Organization. Among heart diseases, the most dangerous to life is myocardial infarction. In connection with the rapid morbidity, early diagnosis of this disease is one of the topical problems of modern public health care. At present, although there is a wide range of different statistical, math methods and computer tools for the processing of cardiological information, the task of increasing the accuracy of methods for the analysis of electrocardiograms and diagnostic tools in this field of study remained relevant. Taking into account the imperfect tools and systems for diagnosing heart diseases, as well as the human factor, the lack of a method that can help doctors to diagnose myocardial infarction early requires the development of new diagnostic information methods. This article presents a neural network analysis methodology for diagnosing myocardial infarction based on the joint analysis of direct and reverse signs of myocardial infarction from electrocardiographic information obtained from a portable cardiac analyzer. © 2023 IEEE.

关键词： Electrocardiograms

来源：评论

学校读者我要写书评

暂无评论

Comparative Performance Analysis of Lithium-ion and Lead-acid Batteries for Electric Scooters: A Simulink Modelling Approach

Comparative Performance Analysis of Lithium-ion and Lead-aci...

引用

2023 IEEE Global Conference on Information Technologies and Communications, GCITC 2023

作者： Puradannavar, Aashish P Puradannavar, Anish P Tapaskar, Rakesh P. Kle Technological University Bvb College of Engineering Campus Hubballi Dept. of Electrical and Electronics Engineering 580031 India Kle Technological University Bvb College of Engineering Campus Hubballi Dept. of Automation and Robotics 580031 India

ISBN: (纸本)9798350308167

The increasing fascination in electric scooters as an environmentally friendly means of transportation in metropolitan areas has placed significant emphasis on the performance of their power sources, specifically batteries. The present work undertakes a complete comparative examination of two widely used battery technologies, namely Lithium-ion (Li-ion) and Lead-acid. The models for both types of batteries were methodically constructed using the powerful capabilities of Simulink, which is a simulation-based environment. The aim of the study is to evaluate the performance metrics of the subjects under controlled and consistent conditions, in order to gain valuable insights about their compatibility with electric scooters. The initial findings suggest that there are noticeable differences in performance between the two, with each exhibiting distinct benefits and difficulties. This study not only makes a valuable contribution to the scholarly discussion on battery technologies but also offers practical insights for manufacturers and players in the electric scooter market, facilitating well-informed decision-making. © 2023 IEEE.

关键词： Battery sizing Lead-acid SOC Li-ion

来源：评论

学校读者我要写书评

暂无评论

Position recognition and driving control for an autonomous mobile robot that tracks tile grid pattern

引用

Transactions of the Korean Institute of Electrical Engineers 2021年第6期70卷 945-952页

作者： Kim, Jung-Ju Kim, Dong-Jin Koo, Kyung-Wan Dept. of Robotics and Automation Engineering Hoseo University Korea Republic of Dept. of Automotive ICT Engineering Hoseo University Korea Republic of

Human visual intelligence refers to the ability to use the visual environment to suit one's own survival. Humans can use visual intelligence to find a target location using only visual perception information in an unknown indoor space. In this paper, we propose a method for the robot to recognize the location and determine the driving direction using the grid pattern information of tiles installed on the floor of an indoor space by imitating human visual intelligence. Copyright © 2021 The Korean Institute of Electrical Engineers.

关键词： Mobile robots

来源：评论

学校读者我要写书评

暂无评论

The autonomous mobile robot that tracks tile grid pattern based on character matrix map

引用

Transactions of the Korean Institute of Electrical Engineers 2021年第7期70卷 1064-1074页

We propose a method of autonomous driving by using a character matrix map to determine the current location and planning a path to the destination for the robot that tracks tile grid pattern. Compared to conventional methods, it is simpler and more economical as it enables the positioning and planned path driving of mobile robots only with information from a camera without any construction or addition of devices for mobile robotic systems. © 2021 The Korean Institute of Electrical Engineers.

关键词： Computer vision

来源：评论

学校读者我要写书评

暂无评论

Robot Vacuum Cleaner Using SLAM and ROS

Robot Vacuum Cleaner Using SLAM and ROS

引用

Knowledge engineering and Communication Systems (ICKECS), International Conference on

作者： M Arjun Cliff Andrew Oliver Anju Mary Joseph Dept. of Robotics and Automation Adi Shanakara Institute of Engineering and Technology Kalady Ernakulam India

ISBN: (数字)9798350359688

ISBN: (纸本)9798350359695

For the past few years, robot vacuum cleaners have made a huge impact on society. There are different types of robot vacuum cleaners, differentiated based on their method of operation. In this paper, we present a comprehensive framework for enhancing the autonomous capabilities of robot vacuum cleaners by integrating the Robot Operating System (ROS) and Simultaneous Localization and Mapping (SLAM) techniques. Our robot uses laser mapping to map the entire environment and is faster than other robot vacuum cleaners. Our approach not only enhances the performance of robot vacuum cleaners but also provides a foundation for future research and development in the field of domestic service robots. The ROS and SLAM integration framework presented in this paper can be extended to other robotic applications, advancing the state of the art in autonomous navigation and perception for household robotics.

关键词： Productivity Simultaneous localization and mapping Vacuum systems Service robots Motors Cleaning Sensors

来源：评论

学校读者我要写书评

暂无评论

Study of Computer Vision for Manipulators

Study of Computer Vision for Manipulators

引用

2023 IEEE International Conference on Communications, Information, Electronic and Energy Systems, CIEES 2023

作者： Rakhmetova, Perizat Bektilevov, Aldabergen Kopenov, Bakhtiyar Zhamuratova, Makabbat Yussupova, Saltanat Toktamyssova, Tolkyn Satbayev University Dept. of Robotics and Technical Means of Automation Almaty Kazakhstan Satbayev University Dept. of Transport Engineering and Logistics Named after M.Tynyshpayev Almaty Kazakhstan Academy Logistics and Transport Dept. of Motor Vehicles and Life-safety Almaty Kazakhstan Almaty University of Power Engineering and Telecommunications Dept. of Electronic Engineering Almaty Kazakhstan

ISBN: (纸本)9798350336917

In recent years, computer vision technology has made significant progress, expanding its application from simple image recognition tasks to complex real-world problems. One such area where computer vision promises to be is the control of manipulators in various fields such as manufacturing, healthcare and robotics. Manipulators, mechanical arms designed to perform tasks, are traditionally controlled using manual input or a preprogrammed sequence. The purpose of this manuscript is to research and analyze computer vision applicable to improve the control and efficiency of manipulators. © 2023 IEEE.

关键词： Manipulators

来源：评论

学校读者我要写书评

暂无评论

A surgical dataset from the da Vinci Research Kit for task automation and recognition

A surgical dataset from the da Vinci Research Kit for task a...

引用

2023 International Conference on Electrical, Computer, Communications and Mechatronics engineering, ICECCME 2023

作者： Rivas-Blanco, Irene Del-Pulgar, Carlos J. Pérez Mariani, Andrea Tortora, Giuseppe Reina, Antonio J. University of Malaga Dept. Systems Engineering and Automation Malaga Spain Scuola Superiore Sant'Anna The BioRobotics Institute Dept. Excellence in Robotics & Ai Pisa Italy ABzero Srl Smart Medical Theatre Lab Pisa Italy

ISBN: (纸本)9798350322972

The use of large datasets is essential in surgical robotics to advance in the field of recognition and automation of surgical tasks. Furthermore, public datasets allow the comparison of different algorithms and methods to evaluate their performance. The objective of this work is to provide a complete dataset of three common training surgical tasks performed with the da Vinci Research Kit (dVRK). The dataset contains a total of 206 trials performed by twelve different subjects. For each trial, the dataset includes 154 kinematic variables from the dVRK (both master and slave sides) together with the associated video recorded with a camera. All the data has been carefully timestamped and provided in a readable csv format. A MATLAB interface integrated with ROS for using and replicating the data is also provided. © 2023 IEEE.

关键词： Large dataset

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：