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检索条件"任意字段=3rd International Conference of Cloud Computing Technologies and Applications, CloudTech 2017"

共 133 条记录，以下是1-10 订阅

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Proceedings - 2019 3rd IEEE international conference on cloud and Fog computing technologies and applications, cloud Summit 2019

Proceedings - 2019 3rd IEEE International Conference on Clou...

引用

3rd IEEE international conference on cloud and Fog computing technologies and applications, cloud Summit 2019

ISBN: (纸本)9781728131016

The proceedings contain 20 papers. The topics discussed include: cloud computing: history and overview;smart grid optimization by means of MapReduce;storage and file structure of a bioinformatics cloud architecture;towards reliable IoT: fog-based AI sensor validation;bitcoin systematic trading algorithms in the cloud: challenges and opportunities;KubeSphere: an approach to multi-tenant fair scheduling for kubernetes clusters;on the challenges of executing bioinformatic tools using a distributed cloud platform;and DOCMA: a decentralized orchestrator for containerized microservice applications.

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A Survey of LLM-based Agents: Theories, technologies, applications and Suggestions 3

A Survey of LLM-based Agents: Theories, Technologies, Applic...

引用

3rd international conference on Artificial Intelligence, Internet of Things and cloud computing Technology, AIoTC 2024

作者： Dong, Xiaofei Zhang, Xueqiang Bu, Weixin Zhang, Dan Cao, Feng Institute of Artificial Intelligence China Academy of Information and Communications Technology Beijing China

ISBN: (纸本)9798331530280

AI Agent has presented potential towards Artificial General Intelligence (AGI), which is expected to autonomously perceive the environments, make decisions and take actions. However, most of existing AI agents tend to train in confined environments with limited knowledge, yielding sub-optimal performance. Benefiting from the remarkable progress of large language models (LLMs), diverse LLM-based agents emerge. These agents employ LLM as the central brain to perceive, plan, and memorize, etc, which exhibit human-level intelligence across multifarious applications and obtain satisfactory performance. In this paper, we propose a survey of LLM-based agents from the perspective of theories, technologies, applications and suggestions, respectively. Specifically, we first deliver a recapitulative review of the theory foundation, which includes Large Language Models, Chain of Thought and AI Alignment, Retrieval-Augmented Generation, Embodied AI, etc;With this, we then present the key technologies, comprising four critical components: Perception, Planning, Memory and Action;Subsequently, we briefly explore some domain-related and evaluation applications;Finally, we provide pertinent suggestions based on the observations of significant challenges for LLM-based agents. © 2024 IEEE.

关键词： Artificial intelligence

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Care Compass: Monitoring made easy, Care made effective 3

Care Compass: Monitoring made easy, Care made effective

引用

3rd international conference on Intelligent and Innovative technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Manhas, Prabal Chandra, Joydeep Kaur, Ramanjot Sahay, Rashi Chandigarh University Punjab India Chandigarh University Dept.of Computer Science and Engineering Punjab Mohali India Manav Rachna International Institute of Research and Studies Faridabad India

ISBN: (纸本)9798331515911

Traditional healthcare focused on hospitals and clinics proved out to be inadequate, especially during the COVID-19 pandemic and various emergency crisis, Care Compass, is an innovative and affordable smart wearable device aimed at addressing critical health challenges faced by today's youth. The 21st century witnessed a large-scale transformation with the integration of Internet of Things and smart devices ranging from healthcare to manufacturing sector. The device integrates smart IoT devices and other technologies such as cloud computing platforms, health management mobile application with machine learning algorithms, offering real-time personalized health recommendations and continuous monitoring of vital health parameters. Emphasis is placed on accessibility and affordability, making Care Compass a viable solution for a broader demographic. The integration of Care Compass with clinical workflows is facilitated through collaboration with healthcare providers, enhancing the utility and effectiveness of the device in real-world applications. The results from initial testing demonstrate the potential of Care Compass to significantly improve health outcomes and quality of life for young individuals. © 2025 IEEE.

关键词： Electronic health record

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Scheduling in cloud of Things: An Overview 3

Scheduling in Cloud of Things: An Overview

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3rd international conference on Emerging Smart technologies and applications, eSmarTA 2023

作者： Hussein Obaid, Abdulrahman Mohammed Ali Abdo Mohammed, Awadh Pani, Santosh K. Alsabry, Ayman Ali Qasem, Hamzah 21 September University of Medical and Applied Sciences Department of Medical Information Technology Sana'a Yemen 21 September University of Medical and Applied Sciences Department of Bioedical Engineering Technology Sana'a Yemen School of Computer Engineering Kiit University Bhubaneswar India International University of Technology Twintech Department of Computer Science Sana'a Yemen International University of Technology Twintech 21 September University of Medical and Applied Sciences sana'a Yemen

ISBN: (纸本)9798350305333

computing, Internet, digital devices, smart devices, and other technologies were leading to a new terminology known as cloud of things (CoT). cloud of Things is a powerful technology used to analyze and store massive data from thousands of distributed devices (smartphones, vehicles, home appliances, sensors, etc.). Further, cloud of Things integrated two concepts, Internet of Things and cloud computing. There are many issues in cloud computing that have been widely studied, such as scheduling. On the other hand, a few issues have been studied in cloud of Things. The objective of this paper is to discuss and classify the scheduling issues in cloud of Things. Researchers have developed algorithms for different environments such as heterogeneous/homogeneous clusters, cloud computing, and large-scale community grids. By reviewing and considering many of these articles, we provided an overview for reuse these state-of-the-art algorithms in cloud of Things environments. In addition, this paper provides researchers with ideas and platform for finding open research and exploring cloud of Things issues. © 2023 IEEE.

关键词： Scheduling algorithms

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Real-time 3D Human Pose Estimation Through Augmented Reality Technology and Transpose Model 3

Real-time 3D Human Pose Estimation Through Augmented Reality...

引用

3rd international conference on Artificial Intelligence, Internet of Things and cloud computing Technology, AIoTC 2024

作者： Cheng, Chen Xu, Huahu Kang, Jian School of Computer Engineering and Science Shanghai University Shanghai200444 China Languages and Information Technology Ministry of Education Northwest Minzu University Key Laboratory of China's Ethnic Lanzhou730030 China

ISBN: (纸本)9798331530280

With the rapid development of virtual reality and augmented reality technologies, real-time 3D human pose estimation plays a key role in various interactive applications. This paper proposes a real-time 3D human pose estimation method based on augmented reality technology and the Transpose model. This method significantly improves the pose estimation accuracy in complex scenes by combining the scene perception module and the spatiotemporal feature module. We conducted extensive experimental verification on the Human3.6M dataset, and the results showed that the proposed method performed well in different activities and multiple perspectives. Through ablation experimental analysis, we further confirmed the contribution of each module to the overall performance. The final experimental results show that the complete model achieved the best performance in terms of MPJPE, MPVE and Angular error, verifying the effectiveness and stability of our method. This study provides an important reference for real-time human pose estimation in augmented reality and demonstrates its great potential in practical applications. © 2024 IEEE.

关键词： Virtual environments

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The Use of Industry 4.0 technologies in Maintenance: A Systematic Literature Review 2nd

The Use of Industry 4.0 Technologies in Maintenance: A Syste...

引用

3rd international conference on Digital technologies and applications

作者： Essalih, Safaa El Haouat, Zineb Ramadany, Mohamed Bennouna, Fatima Amegouz, Driss Sidi Mohammed Ben Abdellah Univ Higher Sch Technol Fes 30050 Morocco Sidi Mohammed Ben Abdellah Univ Fac Sci & Tech Fes 30050 Morocco Sidi Mohammed Ben Abdellah Univ Natl Sch Appl Sci Fes 30050 Morocco

ISBN: (纸本)9783031298561;9783031298578

In the Industry 4.0 era, where competitiveness in the industrial sector is increasingly tough, maintenance optimization is an undeniable tool to stand out in this fierce context. To minimize costs, increase productivity, improve quality and facilitate decision-making in maintenance activities, companies are resorting to the deployment of digital technologies of the fourth industrial revolution, including the Internet of Things (IoT), Big Data, Additive Manufacturing (AM), Augmented Reality (AR), cloud computing, etc. The main goal of this paper is to assess the impact of Industry 4.0 in maintenance, to identify which technologies are used by companies in maintenance, what are the reasons that push companies to use these tools, and what are their benefits.

关键词： Industry 4.0 IoT big data cloud computing predictive maintenance

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A Edge-Guided Satellite Image Semantic Segmentation Method for Real Estate Appraisal 3

A Edge-Guided Satellite Image Semantic Segmentation Method f...

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3rd international conference on Artificial Intelligence, Internet of Things and cloud computing Technology, AIoTC 2024

作者： Cui, Yinuo He, Yilin Zhu, Fangyuan School of Economics and Management Nanchang Hangkong University Nanchang China School of International Education Nanchang Hangkong University Nanchang China

ISBN: (纸本)9798331530280

This paper proposes an edge-guided satellite image semantic segmentation method for real estate appraisal. The digitization of real estate appraisal has been significantly enhanced by advancements in computer vision technologies, enabling automated recognition and analysis of property features from satellite images, aerial photographs, and street view images. However, current methods face limitations due to the resolution and quality of satellite imagery, which affect the precision of evaluations. To address these challenges, this study integrates semantic segmentation with a mathematical house pricing valuation model. The Edge Graph Attention U-Net is introduced, focusing on the edges and details of property features to enhance seg- mentation precision. The proposed semantic valuation algorithm integrates segmentation results with traditional market data and Geographic Information System data, employing mathematical model for property value prediction. Experimental results demon- strate the efficacy and accuracy of the proposed model across multiple cities and property types, providing a robust solution for modern real estate appraisal. The primary contributions include improved edge detection for segmentation, integration of detailed segmentation with valuation algorithms, and validation of the model's effectiveness in realworld applications. © 2024 IEEE.

关键词： Satellite imagery

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A Systematic Study On cloud Forensic Framework, Challenges And technologies Used For Evidence Preservation 3

A Systematic Study On Cloud Forensic Framework, Challenges A...

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3rd IEEE international conference on Blockchain and Distributed Systems Security, ICBDS 2024

作者： Pirjade, S.T. Dhotre, Prashant MIT-Art Design & Technology University School of Computing Department of Information Technology India

ISBN: (纸本)9798350354348

In this study we have focused on 3 research questions and tried to do analysis of that questions. The term "cloud computing"is wide yet ambiguous, encompassing a range of dynamically allocated services. cloud computing can be seen as having two benefits and drawbacks for forensic analysis and legal applications. On the one hand, obtaining digital evidence from cloud sources could pose challenging legal and technological issues across jurisdictions. One potential remedy for these issues is the cloud forensic zero trust concept. A diligent and critical attitude to security is required when using the zero-trust model for cloud forensics, since no user or device can be considered completely trustworthy. In this paper we have proposed a zero trust model for security of evidence in cloud forensic. cloud forensic investigations are crucial for identifying and analysing security incidents within cloud environments. By adopting a least privilege approach, organizations can minimize the attack surface and limit potential exposure to security risks. Additionally, leveraging encryption and strong identity management practices further strengthens the security of cloud forensic processes. Organizations may proactively identify and address security events in their cloud environments by combining threat detection tools and advanced security analytics. This proactive strategy improves the overall security posture and increases the efficacy of forensic investigations. This study outlined a number of debate points that paved the path for technological advancement in the future when it comes to crime scene evidence. © 2024 IEEE.

关键词： cloud security

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A Review on Optimisation Strategies for cloud computing technologies 3

A Review on Optimisation Strategies for Cloud Computing Tech...

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3rd international conference for Emerging Technology, INCET 2022

作者： Anil Kumar, D.B. Raghu, N. Jain University Department of Electrical and Electronics Bangalore India

ISBN: (纸本)9781665494991

Nowadays cloud computing is more and more used in the IT field as it is less complex to use and also economic in nature. Also we need to consider the environmental factor while using it. This paper reviews the methods by which the energy utilised by cloud computing can be reduced and also by reducing the waste carbon using various techniques. And several data centres are created which provides required space, computation, nodes in the network and operates smoothly and efficiently. In order to increase the performance and reduce the cost, the energy consumed by the data centres are to be reduced. In the face of continuous development in data and computing related applications, energy optimization is complex and also much needed. A brief about various works related to energy optimisation in cloud computing is provided in this paper. © 2022 IEEE.

关键词： cloud computing

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Research on Key technologies of Big Data Analysis 3

Research on Key Technologies of Big Data Analysis

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

作者： Cai, Jianjun Ren, Nver Sun, Erxin Tian, Yang Zhang, Jingming China Automotive Technology Research Center Co. Ltd. China

ISBN: (纸本)9781643684444

With the advent of emerging computing services such as cloud computing and the decline in hardware prices, the unit price per GB of mechanical hard drives has plummeted by 87%, the amount of information on the Internet has shown explosive growth. Furthermore, the scale of data in large enterprises has reached EB level at present. These massive data form subject-oriented, integrated, relatively stable data warehouses which can reflect historical changes. How to process and analyze these data has gradually become the key technology of Big data. This paper will discuss the key technologies of Big data processing and analysis, such as data preprocessing and Big data analysis framework. © 2023 The Authors.

关键词： Big data

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