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共 2083 条记录，以下是271-280 订阅

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Understanding Solar Weather 14

Understanding Solar Weather

引用

14th IEEE Integrated STEM Education conference, ISEC 2024

作者： Wu, Lillian Vitale, Isabella Merrill, Cecilia Drozdowski, Corina S. Herbert, Katherine G. Marlowe, thomas Glen Ridge High School Glen Ridge School District Glen RidgeNJ United States

ISBN: (纸本)9798350352801

Solar Weather is a challenge impacting multiple areas of our lives: telecommunications and computing, climate, and human space activities. this can pose a threat to much of our infrastructure, ranging from immediate effects on GPS systems, satellite communication, and aircraft communication to larger scale. Better understanding and prediction of these complex phenomena can help to limit these impacts. this poster reports on an independent study investigation extending a class study of solar weather in studying programming, sensor networks, data analysis, artificial intelligence, and machine learning. Our vision for this project is to gain a better understanding of solar weather data, and to look for patterns in that data. Our goal has been to codify the structure for analyzing solar weather data and to create an application to do so. Two specific areas we are investigating involve using a low-cost microcontroller to simulate a satellite and running a predictive algorithm to forecast future solar weather cycles. Future work will investigate the accuracy of our model by performing hold-back analyses, predicting the results of a past cycle or pair of cycles (which we will omit) based on the remaining data. © 2024 IEEE.

关键词： Satellite communication systems

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Intelligent System for Assessing University Student Personality Development and Career Readiness 14

Intelligent System for Assessing University Student Personal...

引用

14th international conference on Emerging Ubiquitous systems and Pervasive networks / 13th international conference on Current and Future Trends of Information and communication Technologies in Healthcare, EUSPN/ICth 2023

作者： Izbassar, Assylzhan Muratbekova, Muragul Amangeldi, Daniyar Oryngozha, Nazzere Ogorodova, Anna Shamoi, Pakizar School of Information Technology and Engineering Kazakh-British Technical University Almaty Kazakhstan

While academic metrics such as transcripts and GPA are commonly used to evaluate students' knowledge acquisition, there are limited comprehensive metrics to measure their preparedness for the challenges of post-graduation life. this research paper explores the impact of various factors on university students' readiness for change and transition, with a focus on their preparedness for careers. the methodology employed in this study involves designing a survey based on Paul J. Mayer's"the Balance Wheel" to capture students' sentiments on various life aspects, including satisfaction with the educational process and expectations of salary. the collected data from a KBTU student survey (n=47) were processed through machine learning models: Linear Regression, Support Vector Regression (SVR), and Random Forest Regression. Subsequently, an intelligent system was built using these models and fuzzy sets. the system is capable of evaluating graduates' readiness for their future careers and demonstrates a high predictive power. the findings of this research have practical implications for educational institutions. Such an intelligent system can serve as a valuable tool for universities to assess and enhance students' preparedness for post-graduation challenges. By recognizing the factors contributing to students' readiness for change, universities can refine curricula and processes to better prepare students for their career journeys. © 2024 Elsevier B.V.. All rights reserved.

关键词： Intelligent systems

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Auditable Data Sharing Model for Multi-Domain Privacy Information Retrieval 24

Auditable Data Sharing Model for Multi-Domain Privacy Inform...

引用

3rd international conference on networks, communications and Information Technology (CNCIT)

作者： Wang, Boyi Liu, Peng Li, Chunpei Huo, Hao Chen, Yuhan Guangxi Normal Univ Guilin Guangxi Peoples R China

ISBN: (纸本)9798400717048

In recent years, heightened concerns regarding personal privacy and trade secrets underscore the need to safeguard retrieved statements in data interactions, often containing easily compromised sensitive information. While Privacy Information Retrieval (PIR) techniques aim to address this, current applications primarily focus on protecting indexed resource locations within a single administrative domain. In multi-domain PIR, entities demand higher resource availability and trustworthiness, necessitating a balance between access record audit and retrieval keyword confidentiality. this paper addresses privacy information retrieval and resource authorization in multi-management domain scenarios, proposing a novel auditable blockchain-driven multi-domain privacy information retrieval model, BDMD-PIR. Leveraging a cloud-chain storage collaboration approach and blockchain ledgers, BDMD-PIR facilitates asset sharing across multiple data domains. Additionally, mainstream PIR schemes are adapted and optimized to alleviate communication overhead and computational burdens of resource-constrained entities. Rigorous security analysis and experimental simulations demonstrate BDMD-PIR's resilience to various attacks and offer viable solutions to inherent security challenges in PIR and multi-data domain sharing.

关键词： Privacy Information Retrieval Blockchain Data Sharing Database systems Access Control

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Combined QoS Analysis of Smart Distribution Grids with Constraint Satisfaction Problem and Network Calculus 14

Combined QoS Analysis of Smart Distribution Grids with Const...

引用

14th IEEE international conference on communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2023

作者： Alshra'a, Abdullah S. Vietz, Matthias Hielscher, Kai-Steffen Oest, Frauke Lehnhoff, Sebastian German, Reinhard Friedrich-Alexander-University Computers Networks and Communication Systems Germany University of Oldenburg Department of Computer Science Germany

ISBN: (纸本)9781665455541

the expansion of renewable energies requires implementing Smart Grid Services (SGSs) in the distribution grid. Analytical verification of the SGSs' Quality of Service (QoS) requirements is crucial for reliable operation. this paper proposes a two-step approach: a constraint satisfaction problem (CSP) considers network infrastructure and resource allocations to find candidates' solutions. then, the solutions are evaluated using Network Calculus (NC) to calculate delay bounds at the worst-case and compare them to the requirements. If necessary, alternative solutions are generated. the NC framework is adjustable and considers different service priorities by implementing scheduling policies such as strict priority, weighted fair queuing, weighted round robin, and deficit round robin. In the end, the best-performing parameters are derived for a sample network and the results manifest that the NC framework can be used to analyze random communication networks. © 2023 IEEE.

关键词： Quality of service

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Health Intelligent systems Improve Value of Cancer Care and Prognosis: A Proposed Medical System and Model For Disease Management and Detection 15

Health Intelligent Systems Improve Value of Cancer Care and ...

引用

15th international conference on Emerging Ubiquitous systems and Pervasive networks / 14th international conference on Current and Future Trends of Information and communication Technologies in Healthcare, EUSPN/ICth 2024

作者： Abugabah, Ahed Shahid, Farah Mehmood, Atif College of Technological Innovation Zayed University Abu Dhabi United Arab Emirates Department of Computer Science Zhejiang Normal University Jinhua China

Skin cancer has emerged as a prevalent form of cancer, witnessing an upward trend in incidence over recent decades. the traditional methods for skin cancer identification are time-consuming and resource-intensive. Presently, the field of medical science leverages digital technology tools for efficient skin cancer classification. this study addresses challenges stemming from a shortage of annotated data samples for binary classification in skin cancer. Within this investigation, we introduce the single convolutional neural network (S-CNN) with multi-output functionality. the architecture of the S-CNN is intricately designed, encompassing multiple layers dedicated to extracting low to high-level features from skin images. Additionally, we integrate customized transfer learning models, specifically VGG-16 and VGG-19, into our study. Experiments were conducted utilizing a dataset comprising benign and malignant cases. the S-CNN model showcased remarkable accuracy, achieving a 96.66% success rate in effectively distinguishing between benign and malignant instances. Our automated model consistently demonstrated exceptional accuracy and performance in a comprehensive comparison with alternative methodologies. © 2024 the Authors.

关键词： Lung cancer

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Design of 5G Non-Terrestrial Network Handover using Transparent Satellite 14

Design of 5G Non-Terrestrial Network Handover using Transpar...

引用

14th international conference on Information and communication Technology Convergence, ICTC 2023

作者： Lee, Kyung-Rak Kim, Hee-Wook Ryu, Joon-Gyu Kang, Jin-Young Satellite Communication Infra Research Section Electronics and Telecommunications Research Institute Daejeon Korea Republic of Semicolon Inc. Seoul Korea Republic of

ISBN: (纸本)9798350313277

Deploying actual satellites into space and conducting verification entail significant costs, time, and various challenges. In this paper, we aim to address these problems by developing a platform that simulates networks using terrestrial networks and satellite systems. the focus is particularly on simulating Terrestrial Network (TN) to Non Terrestrial Network (NTN) handover technology. this approach is devised to overcome the constraints of physically deploying and testing satellites, avoiding the high costs and time associated with space deployment. It aims to create a simulation environment for evaluating network behavior and performance without the need for costly and time-consuming space deployment. © 2023 IEEE.

关键词： 5G NR Handover Non Terrestrial Network Transparent satellite

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Quantization Algorithm in Neural Network Training 14

Quantization Algorithm in Neural Network Training

引用

14th IEEE international conference on Computer Research and Development, ICCRD 2022

作者： Liu, XinWen Zheng, HaoLun Chang'an University College of Electronics and Control Engineering Xi'an China Xidian University School of Communication Engineering Xi'an China

ISBN: (纸本)9781728177212

In the continuous development of model quantification, many experts try to start with quantification in training process. this paper mainly explains Quantification Aware Training. the basic concept of quantification aware training and the basic algorithm are introduced to make the reader have a basic understanding of quantification aware training. In addition, this paper provides a further understanding of quantification aware training by citing four experiments on the development of relevant algorithms. the four algorithm experiments are Hessian AWare Quantifification, Uncertainty Quantifification, Knowledge Distillation- Training and Quantization-Retraining and weight activation quantization. these four innovative algorithms can effectively reduce the calculation parameters on the basis of little change in accuracy. It can also make readers better understand some specific work related to algorithm development in this field and provide reference for the future research work in this field. © 2022 IEEE.

关键词： Convolutional neural networks

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Potential Enabling Technologies for 6G Mobile communication networks: A Recent Review 14

Potential Enabling Technologies for 6G Mobile Communication ...

引用

14th international conference on Ubiquitous and Future networks, ICUFN 2023

作者： Vu, Duc-Nghia Dao, Nhu-Ngoc Won, Dongwook Cho, Sungrae Chung-Ang University School of Computer Science and Engineering Korea Republic of Sejong University Department of Computer Science and Engineering Korea Republic of

ISBN: (纸本)9798350335385

the evolution of wireless networks has transformed the way people interact and communicate with each other. the next generation of wireless technology, 6G, promises to take this evolution to the next level. In this paper, we present an overview of the key technologies that are likely to shape the future of 6G mobile networks such as terahertz communication, visible light communication, ultra-massive MIMO, artificial intelligence, quantum communication, blockchain, and intelligent reflective surface. We discuss the unique advantages and challenges associated with each technology and provide examples of ongoing research to overcome these challenges. By leveraging these technologies, 6G networks have the potential to provide ultra-high data rates, ultra-reliable low-latency communication, and massive connectivity to support a wide range of emerging applications, including virtual and augmented reality, autonomous vehicles, smart cities, and more. the integration of these technologies has the potential to enable new use cases, unlock new opportunities, and bring us closer to realizing the full potential of the 6G vision. © 2023 IEEE.

关键词： Wireless networks

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Network Softwarization: Developments and Challenges 14

Network Softwarization: Developments and Challenges

引用

14th international conference on communications, COMM 2022

作者： Popescu, Adrian Westerhagen, Alexander School of Computing Blekinge Institute of Technology Karlskrona Sweden Saab Ab Business Area Surveillance Karlskrona Sweden

ISBN: (纸本)9781665494854

the paper provides an overview of network softwarization. this refers to network changes and adaptations regarding the convergence to Software Defined Networking and Network Function Virtualisation as well as moving the network control to Data Centers and Mobile Edge. For doing this, basic concepts and elements used in the performance provision in softwarized networking environments are used. Adequate performance frame-works can be defined, including relevant metrics and models, to be used in the development, deployment and operation of cloud and edge computing architectures as well as 5G network slicing. the paper provides an overview of network slicing, backbone of 5G technology, as well. © 2022 IEEE.

关键词： 5G mobile communication systems

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Transforming Sales in Healthcare: the Impact of Augmented Reality and Spatial Computing on the Medical Equipment Industry 15

Transforming Sales in Healthcare: The Impact of Augmented Re...

引用

作者： Alves, Carlos Reis, José Luís Machado, José ALGORITMI LASI Research Centre Escola de Engenharia - Universidade do Minho Campus Azurém Guimarães4800-058 Portugal Department of Business Administration University of Maia Av. Carlos de Oliveira Campos Maia4475-690 Portugal University of Porto Rua Dr. Roberto Frias Porto4200-465 Portugal LASI - Intelligent Systems Associate Laboratory - Campus Azurém Guimarães4800-058 Portugal

Lately, there has been a surge of interest in spatial computing, which combines AR, VR and other technologies, especially in the health industry. While a lot has been done on its applications in such clinical aspects as surgeries and patient experience enhancement, there is less info on its application in medical equipment marketing in hospitals. this paper presents the current trends and practices in the use of networks of immersive technology in marketing medical devices. Besides surveying the secondary literature, the present investigation examines three case studies in this sector. Nowadays, most applications are not focused on promoting medical devices, making it easy to achieve innovation in this field mainly by utilising immersive technology, which has been developed for other industries. © 2024 the Authors.

关键词： Electronic medical equipment

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