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analysis of Global Research Trends and Development Trends in Smart Healthcare: A Bibliometric Study 24

Analysis of Global Research Trends and Development Trends in...

引用

3rd international Symposium on robotics, Artificial intelligence and Information Engineering, RAIIE 2024

作者： Yang, Shuhang Zhu, Jichun School of Miami College Henan University Kaifeng China

ISBN: (纸本)9798400718311

Smart Healthcare, as an advanced stage of medical informatization, is rapidly developing and gradually becoming an important component of the healthcare system architecture. This paper adopts bibliometric methods and utilizes VOSviewer and CiteSpace software to conduct quantitative analysis and visualization of relevant literature in the global citation database Web of Science (WoS) from 2014 to 2024. To reveal the research hotspots, trends, and future directions in the field of intelligent healthcare, and to deeply analyze highly cited and representative literature in different time period s, the method of co-occurrence analysis is employed to grasp the research context and core issues in this field. This study provides important reference and suggestions for researchers, policymakers, and practitioners in the field of intelligent healthcare, facilitating the acceleration of technological innovation and practice in intelligent healthcare, thereby promoting the progress of the global health industry. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： COVID-19

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LLM-Driven Testing for Autonomous Driving Scenarios 2

LLM-Driven Testing for Autonomous Driving Scenarios

引用

2nd international conference on Foundation and Large Language Models, FLLM 2024

作者： Petrovic, Nenad Lebioda, Krzysztof Zolfaghari, Vahid Schamschurko, Andre Kirchner, Sven Purschke, Nils Pan, Fengjunjie Knoll, Alois Technical University of Munich Chair of Robotics Artificial Intelligence and Real-Time Systems Munich Germany

ISBN: (纸本)9798350354799

In this paper, we explore the potential of leveraging Large Language Models (LLMs) for automated test generation based on free-form textual descriptions in area of automotive. As outcome, we implement a prototype and evaluate the proposed approach on autonomous driving feature scenarios in CARLA open-source simulation environment. Two pre-trained LLMs are taken into account for comparative evaluation: GPT-4 and Llama3. According to the achieved results, GPT-4 outperforms Llama3, while the presented approach speeds-up the process of testing (more than 10 times) and reduces cognitive load thanks to automated code generation and adoption of flexible simulation environment for quick evaluation. © 2024 IEEE.

关键词： Automatic test pattern generation

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analysis of the Sit-to-Stand Movement Based on Dynamic Stability 9

Analysis of the Sit-to-Stand Movement Based on Dynamic Stabi...

引用

9th international conference on Electrical Engineering, Control and robotics, EECR 2023

作者： Fang, Guobing Gong, Pili Xiang, Kui Luo, Jing Pang, Muye Wuhan University of Technology School of Automation Wuhan China

ISBN: (纸本)9781665491204

Sit-to-Stand (STS) is one of the most frequent movements in people's daily life. For patients with muscle weakness or paraplegia, exoskeleton assistance is an effective way to resume their ability to STS. And STS is a dynamic process of movement, so the torque of exoskeleton is gradually constructed. Therefore, analysis of the STS process is an important foundation for exoskeleton assist human to stand. In previous studies, most used methods based on mode recognition to determine the phase of the STS. However, pattern recognition methods are poorly interpretable and are affected by training samples and human motion variability. In this paper, based on the dynamic stability analysis of STS movement, we proposed a phase estimation algorithm that considers velocity variation. Six healthy volunteers were recruited in the experiment. The effectiveness of the method mentioned was verified by comparing the changes of XCOM and COM. This model-based method has better interpretability and provides a new means to analyze STS movement. © 2023 IEEE.

关键词： Exoskeleton (robotics)

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FreeSN: A Freeform Strut-node Structured Modular Self-reconfigurable Robot - Design and Implementation 39

FreeSN: A Freeform Strut-node Structured Modular Self-reconf...

引用

IEEE international conference on robotics and Automation (ICRA)

作者： Tu, Yuxiao Liang, Guanqi Lam, Tin Lun Chinese Univ Hong Kong Sch Sci & Engn Shenzhen Peoples R China Shenzhen Inst Artificial Intelligence & Robot Soc Shenzhen Peoples R China

ISBN: (纸本)9781728196817

This paper proposes a novel freeform strut-node structured modular self-reconfigurable robot (MSRR) called FreeSN, consisting of strut and node modules. A node module is mainly a low-carbon steel spherical shell. A strut module contains two freeform connectors, which provide strong magnetic connections and flexible spherical motions. The FreeSN system shares the benefits of freeform connection and strut-node structures. The freeform connection brings good adaptability to the environment. The triangle substructures inside the system configuration significantly improve the structural stability. The parallel execution of module motions can superpose the module capabilities and makes the system more scalable. The modules can combine these robot features by selecting the system configuration and better fit different circumstances and tasks. Four demonstrations, including assembly, obstacle crossing, transportation, and object manipulation, are designed to show the capabilities of the FreeSN system in different aspects. The results show the great performance and versatility of this MSRR system.

关键词： Connectors Automation Transportation Structural engineering Steel Task analysis Robots

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Modeling and analysis of Mixed-Initiative Control for Unmanned System 7

Modeling and Analysis of Mixed-Initiative Control for Unmann...

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7th international conference on Automation, Control and robotics Engineering (CACRE)

作者： Miao, Yaoyao Wang, Nan Xing, Kunsheng Wang, Jianhua Hong, Huajie Sun, Zhaomei Natl Univ Def Technol Coll Intelligence Sci & Technol Changsha Peoples R China

ISBN: (数字)9781665403870

ISBN: (纸本)9781665403870

Human-machine collaborative decision-making and control can give play to the advantages of human intelligence and artificial intelligence and flexibly cope with battlefield changes in complex, dynamic environments. A theoretical framework for human-machine mixed-initiative control is investigated to address the problems of the unclear human-machine collaborative process, imperfect theory, and lack of models to drive and manage operational activities. According to the corresponding relationship between the place, the transition, and each node of the control process, a human-machine mixed-initiative control model is established using the Petri net. For the problems of difficult command and control and inefficient resource scheduling in implementing actions, a regional reconnaissance and strike Petri net model is designed and established by combining the observe-orient-decide-act(OODA) loop *** performance indicators are calculated and analyzed in platform independent Petri net editor(PIPE). The results show that the human-machine mixedinitiative control model can organize and manage operational activities effectively.

关键词： human-machine collaborative mixed-initiative PIPE Petri net command and control OODA

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Lube Based Oil Unit Anomaly Limit Prediction using Decision Tree Classification Model

Lube Based Oil Unit Anomaly Limit Prediction using Decision ...

引用

IEEE international conference on Automatic Control and Intelligent Systems (I2CACIS)

作者： Abdullah, Nurul Izzaty Binti Bidin, Abu Huzaifah Bin Haji Omar, Madiah Binti Zaid, Hayyiratul Fatimah Binti Mohd Ibrahim, Rosdiazli Bingi, Kishore Univ Teknol PETRONAS Chem Engn Dept Seri Iskandar Perak Malaysia PETROLIAM Nasl Berhad Project Armaya Proc Engn Kuala Lumpur Malaysia Univ Teknol PETRONAS Elect & Elect Engg Dept Seri Iskandar Perak Malaysia

ISBN: (纸本)9798350372113;9798350372106

The replication of human thinking by technology, including computer systems, is known as artificial intelligence (AI). The rise of AI can certainly help plant operations. In the past, process engineers manually predicted anomalous conditions in the plant to ensure every process was dependable and safe. This extensive procedure calls for an experienced and skilled engineer to find anomalies. This makes the job more difficult for engineers at the entry-level. This pattern is observed throughout the industry, where process plants with newly hired engineers tend to have more accidents and unit upsets because the engineers fail to identify anomalies early on. Thanks to the development of artificial intelligence and machine learning, we can now use all this expertise to detect early normal on computers. We can now use all this expertise to detect early normal data on computers due to the development of artificial intelligence and machine learning from historical data. For this study, we have gathered data from plant engineers over the last five years on common or prior events that have happened in the past. A decision tree learning model has been trained with the knowledge gathered from five fault tree analyses. A high degree of accuracy (99.9%) was achieved using supervised machine learning training when the model was evaluated using several data sets. Now that it can be used in production, this model helps engineers find anomalies early on.

关键词： Artificial intelligence decision tree fault tree analysis machine learning plant production

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Minimal Solvers for Point Cloud Matching with Statistical Deformations 26

Minimal Solvers for Point Cloud Matching with Statistical De...

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26th international conference on pattern Recognition / 8th international Workshop on Image Mining - Theory and Applications (IMTA)

作者： Flood, Gabrielle Tegler, Erik Gillsjö, David Heyden, Anders Aström, Kalle Lund Univ Ctr Math Sci Lund Sweden

ISBN: (数字)9781665490627

ISBN: (纸本)9781665490627

An important issue in simultaneous localisation and mapping is how to match and merge individual local maps into one global map. This is addressed within the field of robotics and is crucial for multi-robot SLAM. There are a number of different ways to solve this task depending on the representation of the map. To take advantage of matching and merging methods that allow for deformations of the local maps it is important to find feature matches that capture such deformations. In this paper we present minimal solvers for point cloud matching using statistical deformations. The solvers use either three or four point matches. These solve for either rigid or similarity transformation as well as shape deformation in the direction of the most important modes of variation. Given an initial set of tentative matches based on, for example, feature descriptors or machine learning we use these solvers in a RANSAC loop to remove outliers among the tentative matches. We evaluate the methods on both synthetic and real data and compare them to RANSAC methods based on Procrustes and demonstrate that the proposed methods improve on the current state-of-the-art.

关键词： Point cloud compression Three-dimensional displays Simultaneous localization and mapping Shape Merging Machine learning Task analysis

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Next Best View For Point-Cloud Model Acquisition: Bayesian Approximation and Uncertainty analysis 8

Next Best View For Point-Cloud Model Acquisition: Bayesian A...

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8th international conference on Robotic Computing

作者： Caeiro Caldeira, Madalena Pombinho Moreno, Plinio Univ Lisbon Inst Super Tecn Lisbon Portugal Univ Lisbon Inst Super Tecn Inst Syst & Robot LARSyS Lisbon Portugal

ISBN: (纸本)9798331521561;9798331521554

The Next Best View problem is a computer vision problem widely studied in robotics. To solve it, several methodologies have been proposed over the years. Some, more recently, propose the use of deep learning models. Predictions obtained with the help of deep learning models naturally have some uncertainty associated with them. Despite this, the standard models do not allow for their quantification. However, Bayesian estimation theory contributed to the demonstration that dropout layers allow to estimate prediction uncertainty in neural networks. This work adapts the point-net-based neural network for Next-Best-View (PC-NBV). It incorporates dropout layers into the model's architecture, thus allowing the computation of the uncertainty estimate associated with its predictions. The aim of the work is to improve the network's accuracy in correctly predicting the next best viewpoint, proposing a way to make the 3D reconstruction process more efficient. Two uncertainty measurements capable of reflecting the prediction's error and accuracy, respectively, were obtained. These enabled the reduction of the model's error and the increase in its accuracy from 30% to 80% by identifying and disregarding predictions with high values of uncertainty. Another method that directly uses these uncertainty metrics to improve the final prediction was also proposed. However, it showed very residual improvements.

关键词： Next Best View Uncertainty Quantification Deep Learning Networks

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Classifying Tweet Sentiment analysis on Airlines using Random Forest Classifier, Naïve Bayes Classifier and K-Nearest Neighbors Classifier Algorithm

Classifying Tweet Sentiment Analysis on Airlines using Rando...

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2023 international conference on Artificial intelligence robotics, Signal and Image Processing, AIRoSIP 2023

作者： Alexander, Ivan Heryadi, Yaya Lukas Suparta, Wayan Sonata, Ilvico Bina Nusantara University Binus Graduate Program Computer Science Computer Science Departement Jakarta11480 Indonesia Universitas Katolik Indonesia Atma Jaya Cognitive Engineering Research Group Faculty of Engineering Jakarta12930 Indonesia Institut Teknologi Nasional Yogyakarta Faculty of Industrial Technology Department of Electrical Engineering Yogyakarta55281 Indonesia

ISBN: (纸本)9798350327472

Opinion has always affected businesses and individuals especially from the Public. People react through social media and spread it incompletely. The situation was then accepted as public opinion. There are three categories of opinion i.e., positive, negative, and neutral. To investigate public opinion on a particular issue of interest, sentiment analysis might be employed. By offering a solution to the text classification challenge, this experiment focuses on the perception of airline tweets among the American public. We offer a method to classify tweets as positive, negative, or neutral using three machine learning classifiers: Random Forest Classifier, Naive Bayes Classifier, and K-Nearest Neighbors Classifier. We examined the performance of three machine learning classifiers in terms of accuracy, average precision, average recall, and average f-1 score. The results demonstrate that the Random Forest Classifier, which produces 82% accuracy, 80% average precision, 82% average recall, and 80% average f1-score, performs the best among the machine learning classifiers. © 2023 IEEE.

关键词： Tweets

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High Precision Control of Vehicle Based on Photometric Gaussian Direct Visual Servo Without Global Positioning 5

High Precision Control of Vehicle Based on Photometric Gauss...

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5th international conference on robotics, Intelligent Control and Artificial intelligence, RICAI 2023

作者： Huang, Mengjie Ye, Lei Li, Junxiang Yi, Fanxiao Wang, Qian College of Intelligence Science and Technology National University of Defense Technology Changsha China

ISBN: (纸本)9798350357950

Most vision-based high-precision control methods rely on multi-sensor fusion techniques. However, these methods are often vulnerable to pose estimation errors and fail in satellite denial environments, resulting in poor control accuracy. To address this issue, this paper proposes a novel method based on direct visual servo for achieving real-time high-precision control in satellite rejection conditions. The main contribution of this paper is the application of the direct visual servo method based on photometric Gaussian mixture to the field of vehicle control, which expands the control convergence domain and improves control accuracy. Furthermore, the use of LM optimization for solving the direct servo problem significantly reduces the control convergence time and enhances real-time performance. The experimental results, including time and error analysis, validate the effectiveness of the proposed method in terms of efficiency and accuracy. © 2023 IEEE.

关键词： direct visual servo high-precision vehicle control LM optimization photometric Gaussian mixture feature

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