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检索条件"任意字段=3rd International Conference on Robot Intelligence Technology and Applications"

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Analysis of Current Smart Wearable Trends using Internet of Medical Things 3

Analysis of Current Smart Wearable Trends using Internet of ...

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3rd international conference on Artificial intelligence and Smart Energy, ICAIS 2023

作者： Padma, A. Seth, Bhaskar Ramachandran, G. Chaitanya Bharathi Institute of Technology Department of Mathematics Telangana Hyderabad India Geetanjali Institute of Technical Studies Department of Mca Rajasthan Udaipur India Vinayaka Mission's Kirupananda Variyar Engineering College Salem India

ISBN: (纸本)9781665462167

This study has reviewed the real-time implementation of smart wearables. Wearable technology is important in both practical and theoretical contexts. The overall demand for originality has improved research and innovative outputs, creating profitable opportunities. One of the entertainment, health, and educational technologies with the quickest growth is wearable technology. Despite the rapid advancement of the internet and mobile devices, a smart fabric is a component of the cutting-edge scientific sector of the fashion business. There is a huge market for smart devices that are user-friendly, multipurpose, and have incredible comfort characteristics based on cutting-edge electronic fabric technologies. This review aims to assist academics in better understanding current demand trends. © 2023 IEEE.

关键词： Medical applications

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Mobile robot Path Planning Based on Triangular Clip Ant Colony Algorithm 3

Mobile Robot Path Planning Based on Triangular Clip Ant Colo...

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3rd IEEE international conference on Power, Electronics and Computer applications, ICPECA 2023

作者： Xu, Zizhe Taiyuan University of Technology College of Mechanical and Vehicle Engineering Taiyuan030002 China

ISBN: (纸本)9781665472784

In the running process of mobile robot equipment, the path planning to reach the specified target under the condition of known map modeling is an important topic. Traditional ant colony algorithm is an eight-degree-of-freedom search probabilistic algorithm derived from the foraging behavior of ant colony. Ant colony belongs to a class of intelligent path planning, which has good implementation effect in raster map path planning. However, the traditional ant colony algorithm has a simple choice of step size, which limits the efficiency of path planning of mobile robots. In this article, the triangular pruning ant colony algorithm is proposed, which introduces the guiding factor φ of target points and the inducing factor μ of obstacles, and effectively changes the way of path search. Experimental results show that compared with the traditional ant colony algorithm, it can improve convergence speed, improve the search efficiency and shorten the optimal path length under different grid environments. © 2023 IEEE.

关键词： Motion planning

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Interpretable Time Series Data Prediction for Severe Nuclear Accidents 3

Interpretable Time Series Data Prediction for Severe Nuclear...

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3rd international conference on New Energy and Power Engineering, ICNEPE 2023

作者： Zhang, Dazhi Jiang, Mengyuan Fu, Yongjie Zhou, Huabing China Nuclear Power Operation Technology Corporation Ltd Cnnc Key Laboratory on Nuclear Industry Simulation Wuhan430040 China College of Computer Science and Engineering Wuhan Institute of Technology Wuhan430205 China Hubei Provincial Key Laboratory of Intelligent Robot Wuhan Institute of Technology Wuhan430205 China

ISBN: (纸本)9798350393224

In this study, we employ a Gated Recurrent Unit (GRU) neural network model to predict changes in coolant flow in small-scale nuclear power plants under Loss-of-Coolant Accident (LOCA) conditions with high precision and speed. We quantitatively compare this model with the traditional Long Short-Term Memory (LSTM) method to validate the accuracy of the GRU model. Additionally, we perform an interpretability analysis on the predictive model using the SHAP (SHapley Additive exPlanations) method for the first time, revealing the inherent influencing factors in L O C A accidents. This research aims to enhance trust in artificial intelligence models in nuclear power scenarios, facilitate a better understanding of prediction results and the current system state, and promote the practical application of artificial intelligence models in nuclear power systems. © 2023 IEEE.

关键词： GRU LOCA Model interpretability Neural networks Nuclear energy SHAP Time series forecasting

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Research on Autonomous robot Navigation Algorithm in Indoor Environment 3

Research on Autonomous Robot Navigation Algorithm in Indoor ...

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3rd international conference on Artificial intelligence, Big Data and Algorithms, CAIBDA 2023

作者： Dong, Yujie Wang, Dashuai Liu, Jianhua Changchun University of Science and Technology China

ISBN: (纸本)9781643684444

With the development of the times, in order to make robots more autonomous, this has led to research on autonomous navigation and other aspects. In the research of autonomous navigation, it is generally divided into two aspects. Firstly, the construction of the map requires the combination of sensors and algorithms to construct the map. During the construction process, many factors need to be considered to apply different algorithms in different scenarios and robot hardware facilities. When not applicable, it is easy to experience map misalignment and other phenomena. After building the map, the robot needs to plan its path based on the current environment to reach the desired location. For path planning, Ant colony optimization algorithms with high robustness is used to better adapt to the environment. Compared with other algorithms, Ant colony optimization algorithms has better effect in indoor small environment. On the basis of the traditional algorithm, Ant colony optimization algorithms is improved by adjusting the volatilization coefficient of Pheromone, which makes the path planning of Ant colony optimization algorithms more reasonable. © 2023 The Authors.

关键词： Motion planning

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Third international conference on Electronics technology and Artificial intelligence, ETAI 2024

Third International Conference on Electronics Technology and...

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3rd international conference on Electronics technology and Artificial intelligence, ETAI 2024

ISBN: (纸本)9781510683143

The proceedings contain 65 papers. The topics discussed include: design and implementation of branch prediction based on LoongArch;performance prediction of densely deployed WLANs using graph isomorphism networks;a high PSRR bandgap reference voltage and startup circuit design;cognitive radio spectrum technology: history, basic principles and applications;multi-classification quantum neural network based on variational quantum circuits;research on wireless charging system based on LCC-S compensation topology;a triple-band compact dipole antenna for consumer electronics and wireless devices;simulation analysis of k-band coaxial-fed microstrip antenna structure;and digitalization technology of electrical substation meters based on the internet of things.

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3rd international conference on Human and Artificial Rationalities, HAR 2024

3rd International Conference on Human and Artificial Rationa...

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3rd international conference on Human and Artificial Rationalities, HAR 2024

ISBN: (纸本)9783031845949

The proceedings contain 24 papers. The special focus in this conference is on Human and Artificial Rationalities. The topics include: Data Science and Environmental Sustainability: Mastering the Information and Knowledge;multi-agent Simulation of Violence Emergence in Protests;the Social Exchange Heuristic Operation During a One-Shot Prisoner’s Dilemma Game;development of Intention-Based Moral Judgement in Children and Adolescents with and Without Intellectual Disability;artificialization of intelligence and Embodied Cognition;Consciousness in AI: A Return to Fetishism or Technological Progress?;agent Rationality Under Partially Resolving Uncertainty and the Hurwicz Criterion;expressing Rational Agency Through Pragmatic Meta-vocabularies;the Effect of Initial Letters in Word Recognition: A Phonological or Positional Effect ?;coherence as Logical Consistency;degrees of Intuition: Coherence in the New Dual Process Theory;a Tribute to Kahneman and Tversky in the Context of Mathematics Education;effect of Brief Mindfulness Training on Cognitive Rigidity;research Trends in Information Accessibility to Web Content for Adults with Developmental Disabilities: A Literature Review;NAO robot to Help People with Alzheimer's Manage the Recall of Activities in Prospective Memory;Does Replacing the Experimenter with an Ignorant Student robot Improve the Success of Children with ASD in the False Belief Task?;enhancing Pharmacology Education: Investigating the Efficacy of Serious Game-Based Learning Through Virtual Simulation;video-Based Analysis of the Mechanical Design Process in a Student Dyadic Activity;critical Thinking and Psychorhetoric for Promoting Environmental Awareness;the Effect of Screens on Children’s Development: Concrete Action Taken in Schools, Closer to Families;can We Really Learn in the Metaverse? A Discussion on Learning Through Immersive technology;emotion-Enhanced Pain Assessment Protocol.

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Artificial intelligence Enhanced Signal Processing in Low-Profile Wearable Wideband Antenna for Future 5G Wireless communications 3

Artificial Intelligence Enhanced Signal Processing in Low-Pr...

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3rd international conference on Artificial intelligence and Signal Processing, AISP 2023

作者： Rentapalli, Vanitha Rani Roy, Bappadittya VIT-AP University School of Electronics Engineering Andhra Pradesh Amaravati India

ISBN: (纸本)9798350320749

Artificial intelligence-based communication is the newtechnological tool, that is going to apply for signal processing techniques gives the main consociate to implement any type of applications. The antenna that needs to be designed for 5G wireless networks need to attain broad concepts over broadband artificial technology and its structural formations for all kinds of wearable antenna developments. Moreover, the artificial intelligent technology was recently admitted in communications to work with real modern technology concepts to resolve the unknown and hidden data related to innovative communication systems. AI could apparently handle all kinds of scientific signal processing problems in a data determined manner, to enhance the inherent characteristics to extract the real data. Hence the AI is particularly suitable for signal processing communications over advanced technical networks, hardware impairments and other dynamic transmissions. In this paper we are going to present over the key features of artificial intelligence sensing techniques, and how the intelligent processing features helps us to design the 5G wireless technology for advanced wearable antenna designs. The simulation results depict that how the 5G technology gives its performance characteristics over the data transmission. © 2023 IEEE.

关键词： Artificial intelligence

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Exploring AI Facial Recognition for Real-time Emotion Detection: Assessing Student Engagement in Online Learning Environments 3

Exploring AI Facial Recognition for Real-time Emotion Detect...

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3rd international conference on Artificial intelligence For Internet of Things, AIIoT 2024

作者： Shan, J. Eliyas, Sherin Hindustan Institute of Technology and Science Department of Computer Applications Tamil Nadu Chennai603103 India

ISBN: (纸本)9798350372120

AI facial recognition for real-time emotion detection in online learning environments intends to analyze students' sentiments throughout online classes, recognizing emotions such as focused, neutral, distracted, enraged, thrilled, or dissatisfied states. The proposed approach uses a generative model trained by conditional Generative Adversarial Networks (cGAN) to accomplish De-expression Residue Learning (DeRL), a facial expression recognition technique. DeRL prioritizes gathering residue for delicate emotion recognition by filtering expressive material and storing it in intermediary layers. This technology gives educators and researchers real-time insights into students' emotional states, allowing for a more thorough understanding of collective student involvement through the lens of socially shared control of learning. Experiments on seven facial expression databases, including two pre-training datasets, indicate that DeRL outperforms other methods in accurately recognizing and classifying students' emotions. The findings emphasize its ability to capture subtle feelings during online learning. The discussion dives into theoretical and practical implications, highlighting AI's potential to enhance the evaluation of student participation in online learning environments. The study concludes by providing relevant information for building tailored learning experiences, indicating a possible avenue for incorporating AI in the classroom. © 2024 IEEE.

关键词： Students

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Research on Key Technologies of Intelligent Acupuncture robot 3

Research on Key Technologies of Intelligent Acupuncture Robo...

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3rd international conference on Advanced Sensing, Intelligent Manufacturing, ASIM 2024

作者： Xuan, Liang Xu, Yufei Zhang, Hong-Xing Li, Yifeng Pan, Xiao-Li Sun, Chun Jianghan University Hubei Engineering Research Center for Intelligent Detection and Control of Specialized Equipment Wuhan China Jianghan University Acupuncture and Moxibustion Research Institute Medical Department Wuhan China Hubei University of Chinese Medicine National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion Wuhan China First Teaching Hospital of Tianjin University of Traditional Chinese Medicine National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion China

ISBN: (纸本)9798331524456

Acupuncture has been widely applied and recognized globally. With the integration of artificial intelligence, robotic technology, and traditional Chinese acupuncture therapy, intelligent acupuncture robots have become a cutting-edge focus in the research of intelligent medical equipment in Traditional Chinese Medicine. This paper combed through the relevant literature on the research of key technologies such as acupoint localization, treatment planning, and closed-loop feedback control of intelligent acupuncture robots in recent years, focusing on key issues such as accurate acupoint localization, individual adaptability of acupuncture trajectory, force sensing ability, and operational safety in the practical application of acupuncture, and put forward the solutions to help intelligent acupuncture robots in the field of application. © 2024 IEEE.

关键词： Feedback control

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A Study of the Impact of ESG Performance on Firms’ New Quality Productivity 3

A Study of the Impact of ESG Performance on Firms’ New Qual...

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3rd international conference on Digitalization and Management Innovation, DMI 2024

作者： Zhang, Chen Hu, Mengke Lanzhou University of Technology China

ISBN: (纸本)9781643685823

In this paper, we choose a sample of A-Listed companies from 2012 to 2022 and use a fixed-effect model to analyze the direct influence of ESG performance on QOL and the moderating role of digital transition. It has been found that both the performance of ESG and the digital transition can significantly affect the new productivity of companies;digital transformation can also make an effective contribution to the performance of ESG and ESG performance's impact on new productivity. © 2025 The Authors.

关键词： digital transformation ESG performance new quality productivity

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