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

共 6133 条记录，以下是431-440 订阅

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Exploring Theoretical Artificial intelligence applications: HR’s Emerging Frontiers 3rd

Exploring Theoretical Artificial Intelligence Applications: ...

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3rd international conference on Universal Threats in Expert applications and Solutions, UNI-TEAS 2024

作者： Goyal, Mredu Nagar, Preeti Sharma, Antima Manipal University Jaipur Rajasthan Jaipur India

ISBN: (纸本)9789819751457

The research proposes a comprehensive theoretical framework for applying artificial intelligence technology in human resource management. Drawing upon the established foundation of HRM’s four fundamental dimensions: recruitment, performance management, compensation assessment, and information-sharing practices, we interlace these core aspects with their corresponding AI technology potentials. The case analysis delves into the workforce management domain, using DHL as a prime example, and further extends the examination to encompass AI-driven enhancements in the dimensions of recruitment and training. The research embraces practical implications and invites future avenues for exploration in this burgeoning field. The proposed AIHRM conceptual model imparts valuable insights and charts a definitive course for the effective integration of artificial intelligence into enterprise-level HRM. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Personnel training

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Advances in collaborative control of multiple mobile robots in human-robot co-integration environment 3

Advances in collaborative control of multiple mobile robots ...

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3rd international conference on Control and Intelligent robotics, ICCIR 2023

作者： Guo, Jiangbo Ma, Jun National Engineering Research Center for Technology and Equipment of Environmental Deposition Lanzhou Jiaotong University Ganshu Lanzhou730070 China Collaborative Innovation Center for Technology and Equipment of Concentrated Solar Power Co-constructed by Ministry and Province Lanzhou Jiaotong University Ganshu Lanzhou730070 China Gansu Changfeng Electronic Technology Co. Ltd. Ganshu Lanzhou730070 China College of Artificial Intelligence Nankai University Tianjin300071 China

ISBN: (纸本)9781510671867

With the rapid development of artificial intelligence, big data, image recognition, virtual reality technology, voice control technology and other emerging technologies, There has had a certain technical basis in human-computer integration. Human-robot integration is the essential feature of next-generation robots, and the development of human-robot integration technology is of great significance to the future of China's robotics industry. This paper reviews the current research status of related technologies in human-machine co-integration-related fields, analyzes the focus of mobile robot control research in human-machine co-integration environments, and outlines the aspects of path planning and control methods involved in the control of multiple mobile robots in human-machine co-integration environments. Finally, the prospect of cooperative control of multiple mobile robots in human-robot co-integration environment is presented. © 2023 SPIE.

关键词： Image recognition

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Improved artificial bee colony algorithm to solve mobile robot path planning 3

Improved artificial bee colony algorithm to solve mobile rob...

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3rd international conference on Advanced Algorithms and Neural Networks, AANN 2023

作者： Li, Guang-Xin Liu, Chao Xiao, Wen-Sheng Tan, Li-Ping Li, Chang-Jiang Wang, Teng School of Electrical and Mechanical Engineering China University of Petroleum Qingdao266580 China National Engineering Lab of Offshore Geophysical & Exploration Equipment China University of Petroleum Qingdao266580 China

ISBN: (纸本)9781510668355

Swarm intelligence algorithms have a large number of applications in solving robot path planning problems. The traditional artificial bee colony (ABC) algorithm has strong global ability, large randomness, however there are problems such as the more nodes, the higher the path complexity. In this study, node movement artificial bee colony algorithm (NMABC) is proposed overcome the disadvantages of the traditional ABC in solving robot path planning problems. The NMABC algorithm contains two novel mechanisms which are the improved initial path generation way and the neighborhood search method of the iterative path of the employed bee. The experimental results show that the NMABC has good global search capability and fast iterative convergence, and it can find the optimal path quickly. © 2023 SPIE.

关键词： Motion planning

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Evaluation of AI-Driven Autonomous and TinyML applications for Enterprise Automatic Shopping Bills Management 3

Evaluation of AI-Driven Autonomous and TinyML Applications f...

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3rd Odisha international conference on Electrical Power Engineering, Communication and Computing technology, ODICON 2024

作者： Narasimharao, Mudra Lenka, Aditya Kumar Swain, Biswaranjan Nayak, Praveen Priyaranjan Bhuyan, Satyanarayan Siksha 'o' Anusandhan Deemed to Be University Department of Electronics and Communication Engineering Bhubaneswar India

ISBN: (纸本)9798350354379

The shopping mall Billing industry is changing due to artificial intelligence (AI). The next big thing with actual bills is AI-Powered Automatic Shop Bills. With these retail bills, consumers are dealing with entirely automated machinery. Examining the factors that led up to customers' decision to shop at AI-powered Automated Shop Bills thus becomes essential. This research explores this region to determine the factors that influence consumers' propensity to shop at AI-powered Automated shop bills. By including AI context-dependent components like reported satisfaction, individualization, and interactive features from the current research, the field's readiness and adoption paradigm is expanded. By assessing fruits, lays, and cold drinks, the suggested model is put to the test. The data is then evaluated using the Edge Impulse approach, and the embedded device is evaluated. Simplified artificial intelligence algorithms were developed and assessed using several methods to perform this on-the-edge computation. The research findings indicate that customer assessments of believed value and easiness are influenced by their creativity and optimism. The assumed value of AI-powered automated retail bills is adversely affected by insecurity. Regarding AI-powered automatic bills, customer purchase intentions are significantly predicted by factors like how useful they are, which are considered delight, customization, and connectivity. In the area of retailing Bills and technology in shopping malls, this study offers perceptive management and scholarly consequences. © 2024 IEEE.

关键词： Sales

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Housing Market intelligence: Data Science for Rental Price Forecasting 3

Housing Market Intelligence: Data Science for Rental Price F...

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3rd international conference for Innovation in technology, INOCON 2024

作者： Nirmala, J.S. Sravya, Somu Geetha Tharun, Kamsala Nitte Meenakshi Institute of Technology Computer Science & Engineering Bengaluru India

ISBN: (纸本)9798350381931

The house rental price prediction project utilizes data science techniques to forecast rental prices based on various property attributes. The dataset encompasses factors such as the number of bedrooms (BHK), property size, location, and furnishing status. Through extensive data preprocessing, feature engineering, and exploratory data analysis, insights were gained into the influential factors affecting rental prices. The temporal trends in rental prices were also investigated, providing valuable information on market dynamics. In building the predictive model, a Random Forest Regressor was selected as the algorithm of choice[1]. This decision was grounded in the algorithm's ability to handle non-linear relationships and interactions among features, making it particularly suitable for the complexity of real estate pricing. The choice of Random Forest Regression over other algorithms is justified by its robustness in handling a diverse range of features and capturing intricate patterns within the dataset. Unlike simpler models that may struggle with the complexity of real estate data, the ensemble nature of Random Forest enables it to provide more accurate predictions. The abstract concludes with an acknowledgment of the model's potential real-world applications for property owners, real estate agents, and tenants, while highlighting areas for future improvements and research. © 2024 IEEE.

关键词： Costs

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Research on Steganography Course with Large Language Model ChatGPT Assisted Learning 24

Research on Steganography Course with Large Language Model C...

引用

3rd international conference on Artificial intelligence and Education, ICAIE 2024

作者： Hwang, Min-Shiang Fatima, Kanza Chan, Chi-Shiang Wu, Chia-Chun Dept. of C.S. and Info. Eng. Asia University Taichung Taiwan Department of M-Commerce and Multimedia Applications Asia University Taichung Taiwan Department of Computer Science and Information Engineering National Quemoy University Kinmen Taiwan

ISBN: (纸本)9798400712692

In this study, by integrating practice-oriented teaching methods and combining large language models to assist learning and teaching situations, it is proposed that the Steganography course is practical-oriented and integrates ChatGPT with the Steganography language model teaching and teaching established by the applicant. In addition to focusing In addition to cultivating students with Steganography concepts and practical operational abilities, we hope to cultivate students' abilities of active observation, independent research, and critical thinking so that students can meet the technology industry's professional skills and requirements for Steganography studies. This research explores the pre-test and post-test, of course, students' use of large language models to learn to have higher learning attitudes and achievements towards Steganography theory and practice. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Steganography

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European standardization efforts from FAIR toward explainable-AI-ready data documentation in materials modelling 3

European standardization efforts from FAIR toward explainabl...

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3rd international conference on Applied Artificial intelligence (ICAPAI) - Human-Centric AI for the Digital Society

作者： Horsch, Martin Thomas Schembera, Bjoern Preisig, Heinz A. Norwegian Univ Life Sci Dept Data Sci Mat Theory & Informat As Norway Univ Stuttgart Inst Appl Anal & Numer Simulat Stuttgart Germany Norwegian Univ Sci & Technol Dept Chem Engn Trondheim Norway

ISBN: (纸本)9798350328929

Security critical AI applications require a standardized and interoperable data and metadata documentation that makes the source data explainable-AI ready (XAIR). Within the domain of materials modelling and characterization, European initiatives have proposed a series of metadata standards and procedural recommendations that were accepted as CEN workshop agreements (CWAs): CWA 17284 MODA, CWA 17815 CHADA, and CWA 17960 ModGra. It is discussed how these standards have been ontologized, and gaps are identified as regards the epistemic grounding metadata, i.e., an annotation of data and claims by something that substantiates whether, why, and to what extent they are indeed knowledge and can be relied upon.

关键词： Applied ontology data and metadata quality explainable AI pragmatic interoperability process data technology

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An Artificial intelligence-Based Method to Identify the Stage of Maturation in Olive Oil Mills 3rd

An Artificial Intelligence-Based Method to Identify the Stag...

引用

3rd international conference on Optimization, Learning Algorithms and applications (OL2A)

作者： Mendes, Joao Lima, Jose Costa, Lino A. Rodrigues, Nuno Leitao, Paulo Pereira, Ana I. Inst Politecn Braganca Res Ctr Digitalizat & Intelligent Robot CeDRI P-5300253 Braganca Portugal Univ Minho ALGORITMI Ctr P-4710057 Braganca Portugal Inst Politecn Braganca Ctr Investi Mt CIMO P-5300253 Braganca Portugal Inst Politecn Braganca Lab Associado Sustentabilidade & Tecnol Reg Mt Su Campus Santa Apolonia P-5300253 Braganca Portugal

ISBN: (纸本)9783031530357;9783031530364

Identifying the maturation stage is an added value for olive oil producers and consumers, whether this is done to predict the best harvest time, give us more information about the olive oil, or even adapt techniques and extraction parameters in the olive oil mill. In this way, the proposed work presents a new method to identify and count the number of olives that enter the mill as well as their stage of maturation. It is based on artificial intelligence (AI) and deep learning algorithms, using the two most recent versions of YOLO, YOLOv7 and YOLOv8. The obtained results demonstrate the possibility of using this type of application in a real environment, managing to obtain a mAP of approximately 79% with YOLOv8 in the five maturation stages, with a processing rate of approximately 16 FPS increasing this with YOLOv7 to 36.5 FPS reaching a 66% mAP.

关键词： Olive ripening stages You Only Look Once (YOLO) Intelligent System Computer Vision Precision Agriculture

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Application of Parallel Triplets Based on Intelligent Collaborative robots in Industry 5.0 3

Application of Parallel Triplets Based on Intelligent Collab...

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3rd IEEE international conference on Digital Twins and Parallel intelligence, DTPI 2023

作者： Hu, Bin Mao, Junfei Zhang, Xiaodong Liu, Xinjie Qin, Minghua Cheng, Tao Qingdao Academy of Intelligent Industries China State Key Laboratory of Multimodal Artificial Intelligence Systems China Chinese Academy of Sciences Institute of Automation China Shandong Jiaotong University China Yantai Institute of Technology China

ISBN: (纸本)9798350318470

Aiming at the application requirements of agile production in Industry 5.0, this paper designs and implements a prototype of cyber-physical-social system using intelligent collaborative robots in the laboratory. The lightweight design of the digital twin accelerates the implementation of the prototype of the parallel system, and proposes a parallel triplet concept that adds a microphysical space to the digital and physical spaces of the digital twin. The system prototype serves as a practical exploration to take advantage of Industry 5.0, which can improve the efficiency of agile production and reduce the rate of defective products. This paper provides empirical research on the practical application of agile production in Industry 5.0 and promotes the development of parallel triplet technology. © 2023 IEEE.

关键词： Machine design

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Research and Design of Intelligent Anti-epidemic Disinfection robot Based on ROS 3

Research and Design of Intelligent Anti-epidemic Disinfectio...

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2023 3rd international conference on Artificial intelligence and Industrial technology applications, AIITA 2023

作者： Wang, Siyu Zhonghuan Information College Tianjin University of Technology School of Automation Engineering Tianjin300380 China

In the context of the global epidemic of COVID-19, in order to solve the problems of heavy disinfection and epidemic prevention tasks in densely populated indoor public places and a low degree of automation and intelligence, a smart anti-epidemic disinfection robot solution that integrates multiple disinfection methods is proposed. The solution is designed and developed based on the open-source robot operating system (ROS) with digital intelligent remote disinfection function, micron-level atomization disinfection function, and multi-angle ultraviolet light disinfection function, providing a full range of high-efficiency disinfection and disinfection for the air environment bacteria protection. It has the functions of autonomous positioning and navigation, intelligent path planning, and real-time perception of environmental parameters. It is also equipped with a remote monitoring platform to monitor the status of the disinfection robot itself and task execution in real time to ensure stable operation and to issue disinfection tasks at regular intervals or in certain areas. The practice has proved that this solution can effectively solve the problem of the high labor cost of manual disinfecting so that one person can quickly complete the whole-area disinfecting work, greatly improving work efficiency, and it has good application value and is worth promoting. © Published under licence by IOP Publishing Ltd.

关键词： Efficiency

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