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检索条件"任意字段=International Conference on Computer Technologies in Physical and Engineering Applications"

共 40614 条记录，以下是211-220 订阅

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Virtual Frontiers Navigating the Impact and Potential of AR and VR 2

Virtual Frontiers Navigating the Impact and Potential of AR ...

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2nd international conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2024

作者： Varun, C.M. Kumar, R.P. Anto Gokila, E. Gayathri, S. Nalini, M. Siva Subramanian, R. R.M.K. Engineering College Dept of Computer Science and Business Systems Kavaraipettai India St. Xavier's Catholic College of Engineering Dept: of Cse India Vel Tech Rangarajan Dr.Sagunthala R&d Institute of science and technology and technology India S.A Engineering College Dept of Cse Chennai600077 India S.A Engineering College Dept of Cse India Rmk College of Engg and Tech Dept of Cse India

ISBN: (纸本)9798350368413

This research study aims to investigate the two rapidly growing fields of Augmented Reality and Virtual Reality from their technical aspect, possible uses, issues, and evolution. AR and VR are innovations that have experienced a massive advancement and are prevalent across the entertainment industry and the learning process, healthcare, industries, and more. The study defines the basic concepts and the physical components that form the basis of AR and VR. It then goes over specific examples, using AR in the context of interactive education and its social impact as well as in operations such as surgeries and in factory maintenance while demonstrating the applications of VR in gaming, education and as a therapy tool. A fundamental question of the examined technologies, which is primarily discussed in the paper, includes the distinct challenges it encountered the hardware constraints of the solutions, the problems related to UX and UI, and the privacy-related concerns. Moreover, it covers the morality and social impact of the integration of AR and VR into society. Finally, examining the future directions of the survey, it is revealed that possible technologies and research areas for the next generation of AR and VR applications are discussed. Consequently, this overview seeks to present useful recommendations regarding the current status of four AR and VR technologies and their possible future developments. © 2024 IEEE.

关键词： Virtual environments

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Industrial Automation using IoT: Comparison of PLC based Automation Systems using Different Communication Protocols and technologies-Review 14

Industrial Automation using IoT: Comparison of PLC based Aut...

引用

14th international conference on Advances in Computing, Control, and Telecommunication technologies, ACT 2023

作者： Basarge, Kshitija Patil, Shreya Sarvate, Ragini Kulkarni, Aditi Deshmukh, Nutan Cummins College of Engineering for Women Pune Computer Engineering Pune India Cummins College of Engineering for Women Pune of Institution Computer Engineering Pune India

This paper mainly focuses on getting acquainted with various applications of Programmable Logic Controller (PLC) used in industries. This paper compares and contrasts several research publications and projects on applications of Programmable Logic Controller (PLC). Various Communication protocols are used for different applications. Usage of protocol depends on the application. Programmable Logic Controller (PLC) uses various communication protocols including Ethernet, OPC UA, Modbus, Profinet etc. This paper shows the applications based on communication between PLC and PC in real time. PLC is used with different protocols for performance enhancement of the monitoring systems in industries. © Grenze Scientific Society, 2023.

关键词： Programmable logic controllers

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Adaptive UI/UX for Smart Geriatric Users 4

Adaptive UI/UX for Smart Geriatric Users

引用

4th international conference on computer, Control and Robotics (ICCCR)

作者： Raghavendra, Keerthi Samyam, N. Golla, Srujana Athreya, Vishnu Pujari, Nitin V. PES Univ Dept CSE Bengaluru India

ISBN: (纸本)9798350373141;9798350373158

Technology must be developed to suit the older population in an increasingly elderly global society, especially concerning the development of user-friendly UI/UX (User Interface/User Experience) for smart devices. While phones and tablets offer many benefits for seniors, age-related cognitive, physical, and sensory changes pose challenges in creating an accessible and intuitive UI/UX. This study aims to explore adaptive UI/UX solutions to overcome these issues and alleviate technology anxiety among older users. The research involved approximately 100 elderly individuals from India who identified common challenges faced when using applications. Subsequently, psychometric techniques based on our findings were employed in a test. Continuous use of the application by individuals allowed its UI to adapt to user actions, customizing it to their behavior patterns. A voice-task model was developed that navigated through the application to complete a task that the user desires. Focused on banking and financial applications, along with cab booking applications, the study targeted age groups between 60 and 75 years. Conclusively, this research highlights the effectiveness of adaptive UI/UX designs in enhancing the lives of geriatric users. It also provides valuable insights and practical guidelines for designing technologies that align with their needs.

关键词： Geriatric Users Adaptive UI/UX Accessibility Voice Task Model Human computer Interaction Financial and Cab booking applications

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Using Geographic Location-based Public Health Features in Survival Analysis 8

Using Geographic Location-based Public Health Features in Su...

引用

8th IEEE/ACM international conference on Connected Health - applications, Systems and engineering technologies (CHASE)

作者： Seidi, Navid Tripathy, Ardhendu Das, Sajal K. Missouri Univ Sci & Technol Rolla MO 65409 USA

ISBN: (纸本)9798400701023

Time elapsed till an event of interest is often modeled using the survival analysis methodology, which estimates a survival score based on the input features. There is a resurgence of interest in developing more accurate prediction models for time-to-event prediction in personalized healthcare using modern tools such as neural networks. Higher quality features and more frequent observations improve the predictions for a patient, however, the impact of including a patient's geographic location-based public health statistics on individual predictions has not been studied. This paper proposes a complementary improvement to survival analysis models by incorporating public health statistics in the input features. We show that including geographic location-based public health information results in a statistically significant improvement in the concordance index evaluated on the Surveillance, Epidemiology, and End Results (SEER) dataset containing nationwide cancer incidence data. The improvement holds for both the standard Cox proportional hazards model and the state-of-the-art Deep Survival Machines model. Our results indicate the utility of geographic location-based public health features in survival analysis.

关键词： Survival Analysis Machine Learning Deep Neural Networks Smart Health Medical Cyber-physical System

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Human-Centric Smart Manufacturing: A Framework Utilizing Digital Twins and Cyber-physical Production Systems 5th

Human-Centric Smart Manufacturing: A Framework Utilizing Dig...

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5th international conference on Innovative Intelligent Industrial Production and Logistics

作者： Filho, Marcelo Feliciano Szejka, Anderson Luis Loures, Eduardo Rocha Pontif Catholic Univ Parana PUCPR Ind & Syst Engn Grad Program PPGEPS Curitiba Parana Brazil

ISBN: (纸本)9783031807749;9783031807756

The shift to Industry 5.0 emphasizes human-machine collaboration, personalization, sustainability, and worker support. This paper explores integrating Digital Twins (DT) and Cyber-physical Production Systems (CPPS) within a human-centric Smart Manufacturing framework. Digital Twins offer real-time prediction, simulation, and optimization, enhancing production efficiency and adaptability. CPPS merges computational and physical processes, supporting human-machine collaboration and improved decision-making. The main objective is to enhance sustainability, efficiency, and human-centricity in data-driven manufacturing. This research reviews current technologies, proposes a novel framework integrating DT and CPPS, and assesses implementing a Smart Product (SP) within a Smart Factory (SF) scenario. Key innovations include designing and integrating SPs, developing smart manufacturing processes, and applying DT for enhanced SP functionality. The findings demonstrate improvements in production efficiency, customization, human-machine collaboration, and sustainability, aligning with Industry 5.0 principles. The study concludes with recommendations for future research to integrate ergonomics, cybersecurity, and ethical considerations in smart manufacturing.

关键词： Digital twins Cyber-physical Production Systems (CPPS) Industry 5.0 Smart manufacturing Human-Centric manufacturing

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Data-Driven Model Categorization: Advancing physical Systems Analysis Through Graph Neural Networks 13

Data-Driven Model Categorization: Advancing Physical Systems...

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13th international conference on Data Science, Technology and applications, DATA 2024

作者： Grbavac, Andrija Angerbauer, Martin Grill, Michael Kulzer, André Casal University of Stuttgart Pfaffenwaldring 12 Stuttgart Germany University of Stuttgart Stuttgart Germany

ISBN: (纸本)9789897587078

Efficiently categorizing physical system models is crucial for data science applications in scientific and engineering realms, facilitating insightful analysis, control, and optimization. While current methods, often relying on Convolutional Neural Networks (CNNs), effectively handle spatial dependencies in image data, they struggle with intricate relationships inherent in physical system models. Our research introduces a novel approach employing Graph Neural Networks (GNNs) to enhance categorization. GNNs excel in modeling complex relational structures, making them apt for analyzing interconnected components within physical systems represented as graphs. Leveraging GNNs, our methodology treats entities as system components and edges as their arrangements, effectively learning and exploiting inherent dependencies and interactions. The proposed GNN-based approach outperforms CNN-based methods across a dataset of 55 physical system models, eliminating limitations observed in CNN approaches. The results underscore GNNs’ ability to discern subtle interdependencies and capture non-local patterns, enhancing the accuracy and robustness of model categorization in a data science framework. This research contributes to advancing model categorization, emphasizing the application of data science for understanding and controlling complex physical systems. The innovative use of GNNs opens new avenues for revolutionizing the categorization of intricate physical system models in scientific and engineering domains. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Neural network models

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Exploring IoT and Machine Learning Integration for Soil Nutrients Monitoring and Crop Recommendation: A Survey 3

Exploring IoT and Machine Learning Integration for Soil Nutr...

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3rd international conference on Electronics and Renewable Systems, ICEARS 2025

作者： Khemnar, Vijaya R. Bendre, Mininath R. Kolekar, Vikas K. Pravara Rural Engineering College Department of Computer Engineering Loni India Vishwakarma Institute of Information Technology Department of Computer Engineering Pune India

ISBN: (纸本)9798331509675

The integration of machine learning (ML) and Internet of Things (IoT) technologies has a scope of improvement in precision farming techniques and revolutionise the agriculture sector. This research paper examines the integration of IoT and ML in soil nutrient monitoring and crop recommendation systems. The aim is to provide a thorough overview of the most recent developments, applications, challenges, and potential future directions. IoT sensors collect and give immediate soil health information, while ML algorithms analyses these data to suggest nutrient deficits and recommend the most suitable crops. This research work evaluates advancements in IoT and Machine Learning applications, emphasising their benefits for precision agriculture. This integration aims to improve agricultural production and sustainability via data driven decision making and resource optimisation. At the end research gaps are discussed, along with future research directions. © 2025 IEEE.

关键词： Smart agriculture

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Leveraging Digital technologies and System Dynamics for Achieving Sustainable Development Goals Across Diverse Sectors 4

Leveraging Digital Technologies and System Dynamics for Achi...

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4th international conference on Technological Advancements in Computational Sciences, ICTACS 2024

作者： Duggal, Sonia Ather, Danish Yusupov, Ibrohimbek Sagar, Pinki Kumar, Raj Jain, Vishal Department of Computer Applications Faridabad India Amity University Department of It and Engineering Tashkent Uzbekistan Tashkent University of Information Technologies Named after Muhammad Ibn Musa al-Khwarizm Department of Artificial Intelligence Tashkent Uzbekistan G.L. Bajaj Institute of Technology and Management Greater Noida India Sharda School of Engineering and Technology Sharda University Department of Computer Science and Engineering Greater Noida India

ISBN: (纸本)9798350387490

This paper aims at arguing the impact of digital technologies and system dynamics models towards the achievement of the United Nations - Sustainable Development Goals (UN-SDGs). Interrelated with numerous fields, this research focuses on the application on intelligent systems in big data environment and sensors networks to increase efficiency of resources, improve transparence of processes as well as to make sound decisions according to SDGs requirements. Based on findings of ten recent pieces of research, the paper integrates lessons and best practices with the aim of illustrating how technology can open new avenues for addressing complex problems. © 2024 IEEE.

关键词： Sustainable development goals

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Spatio-Temporal Data Analytics for Intelligent Transportation Systems: An Overview 1

Spatio-Temporal Data Analytics for Intelligent Transportatio...

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1st international conference on Pioneering Developments in computer Science and Digital technologies, IC2SDT 2024

作者： Lone, Mudasir Ali Akhtar, Nadeem Zakir Husain College of Engineering & Technology Aligarh Muslim University Department of Computer Engineering Aligarh India

ISBN: (纸本)9798350365016

This study addresses the significance of spatio-temporal data analytics in Intelligent Transportation Systems (ITS), the various sources of spatio-temporal data, and the different technologies used to deploy ITS. It examines the body of research, points out shortcomings, and talks about new developments in the machine learning techniques for ITS. It discusses a variety of state-of-the-art methods used for data analytics in ITS. Following a study of the most recent research, we also list and evaluate the primary challenges faced in ITS. Future directions for ITS research and various ITS applications are also covered in this study. The paper addresses the challenges of security, privacy, and scalability while processing and analyzing massive amounts of spatiotemporal data. The potential of ITS to enhance sustainability, safety, and efficiency of transportation systems is also covered in this study. © 2024 IEEE.

关键词： Spatio-temporal data

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Project-based Learning in Software engineering Education: Integrating Blockchain-Oriented Repositories in SE Curriculum and Coursework 22

Project-based Learning in Software Engineering Education: In...

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22nd IEEE/ACIS international conference on Software engineering Research, Management and applications, SERA 2024

作者： Hossain Faruk, Md Jobair Tasnim, Masrura Cheng, Jerry Q. New York Institute of Technology Department of Computer Science United States Kennesaw State University Department of Information Technology United States

ISBN: (纸本)9798350391343

Software engineering (SE) education aims to seamlessly blend theoretical knowledge with practical exposure, ensuring students the grasp of SE's foundational principles, design methodologies, implementation, testing, and maintenance capabilities with communication paradigms and problem-solving strategies. Under rapid evolvement and advancement, new technologies such as blockchain and artificial intelligence are poised to redefine the SE landscape. However, traditional SE curricula often lag behind in incorporating cutting-edge technologies, particularly in student class projects. This paper underscores the significance of blockchain within the SE pedagogical framework. Specifically, we introduce a project-based learning approach with blockchain technology to create an open-source software repository for students to engage in requirement analysis, design, implementation, and maintenance of blockchain-oriented software development. These activities will allow students to understand the nature and architecture of blockchain applications that have long been ignored in both computer science and SE education. Practicing these projects will enable learners to become experts in blockchain software development and rethink the need for improving requirements elicitation, design, development, and testing strategies. The repository consists of ten modules, each of which contains real-world topics. We have developed one of ten modules so far, which focuses on a blockchain-based student record database. A preliminary survey, both pre and post-exposure, was conducted with 24 university students of both undergraduate and graduate levels pursuing degrees in either computer science or software engineering programs. The feedback was overwhelmingly positive, highlighting the value of our approach in enhancing the learning experience of novel technologies. The participants also emphasized the need for adopting blockchain-based ideas in course projects. Our future endeavors will focus on

关键词： Students

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