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检索条件"任意字段=2023 International Research Conference on Smart Computing and Systems Engineering, SCSE 2023"

共 8062 条记录，以下是91-100 订阅

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An Insight into Wearable Devices for smart Healthcare Technologies 13

An Insight into Wearable Devices for Smart Healthcare Techno...

引用

13th international conference on Cloud computing, Data Science and engineering, Confluence 2023

作者： Verma, Kavery Preity, Preity Ranjan, Rakesh National Institute of Technology Department of Ece Bihar Patna800005 India

ISBN: (纸本)9781665462631

Physical fitness is the prime priority of people these days as everyone wants to see himself as healthy. There are numbers of wearable devices available that help human to monitor their vital body signs through which one can get an average idea of their health. Advancements in the efficiency of healthcare systems have fueled the research and development of high-performance wearable devices. There is significant potential for portable healthcare systems to lower healthcare costs and provide continuous health monitoring of critical patients from remote locations. The most pressing need in this field is developing a safe, effective, and trustworthy medical device that can be used to reliably monitor vital signs from various human organs or the environment within or outside the body through flexible sensors. Still, the patient should be able to go about their normal day while sporting a wearable or implanted medical device. This article highlights the current scenario of wearable devices and sensors for healthcare applications. Specifically, it focuses on some widely used commercially available wearable devices for continuously gauging patient's vital parameters and discusses the major factors influencing the surge in the demand for medical devices. Furthermore, this paper addresses the challenges and countermeasures of wearable devices in smart healthcare technology. © 2023 IEEE.

关键词： COVID-19

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A Comprehensive Study of Blockchain Technology Based Decentralised Ledger Implementations 10

A Comprehensive Study of Blockchain Technology Based Decentr...

引用

10th IEEE Uttar Pradesh Section international conference on Electrical, Electronics and Computer engineering, UPCON 2023

作者： Haque, Mustafizul Upreti, Kamal Ohol, Amol Pisolkar, Gowri Vats, Prashant Kumar, Nishant Pune India Delhi Ncr Ghaziabad India Faculty of Management Savitribai Phule Pune University Pune India Faculty of Management St. Joseph's Degree & Pg College Hyderabad India Dept. of Cse Scse Manipal University Jaipur Rajasthan Jaipur India Bangalore India

ISBN: (纸本)9798350382471

Information management and decentralized, secure transactions are made possible by the groundbreaking idea of blockchain technology. Blockchain has attracted considerable attention from a wide range of businesses as a result of the rising popularity of cryptocurrencies like Bitcoin and Ethereum. The primary goal of this paper is to present a thorough examination of decentralized ledger systems based on blockchain technology. It examines at the basic ideas, underpinnings, and real-world uses of blockchain in many industries. The ability to scale, effectiveness, privacy, security, seamless integration, governing scenarios, and consumption of energy are just a few of the technical factors that are looked at in relation to the deployment of blockchain technology. In this research paper we also pinpoint forthcoming developments and future prospects for the blockchain industry like Solutions for scalability at the subsequent layer, protocols for seamless integration, integration with the Internet of Things (IoT), apps for decentralized finance (DeFi), and digital currencies that are issued by central banks (CBDCs) are a few examples. © 2023 IEEE.

关键词： Blockchain blockchain applications P2P network smart contracts smart healthcare

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Monocular ORB-SLAM and Pose Retrieval for Autonomous Driving 25

Monocular ORB-SLAM and Pose Retrieval for Autonomous Driving

引用

25th IEEE international conferences on High Performance computing and Communications, 9th international conference on Data Science and systems, 21st IEEE international conference on smart City and 9th IEEE international conference on Dependability in Sensor, Cloud and Big Data systems and Applications, HPCC/DSS/smartCity/DependSys 2023

作者： Al-Ozaibi, Youssef Chahine, Georges El-Hamzaoui, Oussama Sorbonne Université Faculté des Sciences et Ingénierie Paris France Valeo Comfort and Driving Assistance Driving Assistance Research Créteil France

ISBN: (纸本)9798350330014

Autonomous smart cars are an integral part of smart cities. This paper partly addresses the localization and mapping challenges that need to be addressed in order to autonomously control the movement of a car. Further, we explore multiple use-cases such as camera pose retrieval, thermal visual SLAM, and GPS-constrained Visual SLAM. Finally, we conduct our experiments using the classic and our own, modified version of ORB-SLAM, using both the KITTI Dataset and our own datasets, recorded using Valeo's autonomous car prototypes. © 2023 IEEE.

关键词： Autonomous vehicles

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IoT Architecture and Security Mecanisms for an Energy Management System in a smart Microgrid 20

IoT Architecture and Security Mecanisms for an Energy Manage...

引用

20th international conference on Electrical engineering, computing Science and Automatic Control, CCE 2023

作者： Campos-Sanchez, R. Hernandez-Martinez, L. Feregrino-Uribe, C. Inaoe Coordination of Electronics Puebla Mexico Inaoe Computer Science Coordination Puebla Mexico

ISBN: (纸本)9798350306767

In this work, we propose a system architecture that allows establishing decentralized control in a direct current (DC) smart microgrid (SMG), using an IoT 2.0 as a frame of reference for the communication between the elements of the digital ecosystem. This system aims to integrate control systems based on machine learning methods running on remote devices, taking advantage of smart systems applied in energy management for an efficient and secure operation of the DC SMG. © 2023 IEEE.

关键词： Internet of things

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Elevating the Precision of Summarization for Short Text in Social Media using Preprocessing Techniques 25

Elevating the Precision of Summarization for Short Text in S...

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作者： Ghanem, Fahd A Padma, M.C. Alkhatib, Ramez Pes College of Engineering University of Mysore Department of Computer Science and Engineering Mandya India Bmb Nord Research Center Borstel Borstel Germany

ISBN: (纸本)9798350330014

The prevalence of social media platforms has resulted in an overflow of concise textual content, thereby posing challenges in the accurate summarization of informal and noisy data. Automated text summarization entails the mechanical conversion of lengthy text passages into succinct, coherent summaries. In this study, we delve into the amalgamation of automated text summarization and preprocessing, harnessing natural language processing (NLP) techniques to amplify text quality, minimize noise, and enhance the retrieval of essential insights. This symbiotic integration of summarization and preprocessing aims to streamline the intricacies of text comprehension, thereby expediting data summarization, including real-time sentiment analysis. The study employs evaluation metrics to compute and juxtapose results, providing insights into the impact of preprocessing on the summarization of short texts. Notably, the findings accentuate the elevated effectiveness of text summarization when fortified by pre-processing techniques. This research highlights the pivotal role of preprocessing in elevating the influence and efficiency of text summarization processes. © 2023 IEEE.

关键词： Sentiment analysis

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Digitalized Infrastructure of smart Homes Using Iot and Cloud computing

Digitalized Infrastructure of Smart Homes Using Iot and Clou...

引用

2023 international conference on Computational Intelligence and Sustainable engineering Solution, CISES 2023

作者： Negi, Prafful Pachouri, Vikrant Pandey, Shweta Chattopadhyay, Saumitra Gehlot, Anita Joshi, Kapil Uttaranchal Institue of Technology Uttaranchal University Dehradun India Uttaranchal University Lcd Division of Research & Innovation Dehradun India Graphic Era Hill University Department of Computer Science and Engineering Dehradun India Uttaranchal University Uit Division of Research & Innovation Dehradun India

ISBN: (纸本)9798350323917

Digitalized homes are considered 'smart homes' where all of the appliances and gadgets are automatically managed from anywhere using any networked devices, such as mobile phones. In the current modern age, the idea of 'smart homes' has become important for people's lifestyles. The current study focuses on the inclusion of the Internet of Things (IoT) and cloud computing which provides an enhancement in the structure of smart homes leading to low budget and effective communication within the smart home utilities. Users may get real-time information immediately through a web browser with the help of IoT and cloud computing. Based on the analysis, this study identifies the functionality of the smart equipment equipped in smart homes and their connectivity via cloud servers. Finally, based on the evaluation the challenges faced by the technology have been discussed, and based on that future recommendations have been provided according to the framework generated. © 2023 IEEE.

关键词： Cloud computing

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Energy Consumption Probabilistic Prediction of HVAC systems in Public Buildings Based on Deep Learning Fusion Model

Energy Consumption Probabilistic Prediction of HVAC Systems ...

引用

2024 international conference on Communications Control and computing Technologies for smart Grids

作者： Jiang, Siyu Hui, Hongxun Univ Macau State Key Lab Internet Things Smart City Macau Peoples R China

ISBN: (纸本)9798350318562;9798350318555

The energy consumption prediction of heating ventilating and air-conditioning (HVAC) systems in public buildings is essential for promoting energy efficiency. However, HVAC energy consumption often fluctuates significantly due to weather variations and occupancy uncertainties within public buildings. To address this issue, this paper introduces a probabilistic prediction model based on the deep learning fusion model to quantify the energy consumption ranges with specific confidence intervals. First, the impact of temporal and environmental characteristics on HVAC energy consumption are analyzed to select relevant features. Second, we combine Long Short-Term Memory with Conformalized Quantile Regression model to obtain prediction intervals of energy consumption. Finally, to improve the model's generalization performance, an ensemble learning method is introduced to adapt varying time-series lengths through homogeneous model enhancements. Based on realistic data from an office building in the University of Macau, case studies validate the superior accuracy and generalization of the proposed model.

关键词： HVAC energy consumption probabilistic prediction long short-term memory conformalized quantile regression ensemble learning

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A Survey on smart Intelligent computing and Its Applications 6th

A Survey on Smart Intelligent Computing and Its Applications

引用

6th international conference on Intelligent computing and Optimization, ICO 2023

作者： Yadav, Ramsagar Manshahia, Mukhdeep Singh Chaudhary, Mahendra Pal Kaur, Doopinder Department of Mathematics Punjabi University Punjab Patiala India International Scientific Research and Welfare Organization New Delhi India Government Mohindra College Patiala India

ISBN: (纸本)9783031501500

smart intelligent computing has emerged as a key technology in the field of computer science and engineering. It has revolutionized the way we interact with machines and has paved the way for the development of advanced applications in various domains. This survey paper presents an overview of smart intelligent computing and its various applications. The paper discusses the basic concepts, architecture, and components of smart intelligent computing. It then goes on to discuss the various applications of smart intelligent computing in areas such as healthcare, transportation, manufacturing, and energy management. The paper also examines some of the challenges faced by the technology and its potential future developments. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Machine learning

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research on Particle Filter in Submarine Target Tracking 3

Research on Particle Filter in Submarine Target Tracking

引用

3rd international conference on smart Generation computing, Communication and Networking, smart GENCON 2023

作者： Xiong, Peng Huang, Zhicheng School of Mechanical and Electrical Engineering Guangxi Science & Technology Normal University Linbin Guangxi 546199 China

ISBN: (纸本)9798350319125

In view of the complex and changeable underwater environment submarine faces, and the noise it receives may not be Gaussian noise. In this paper, particle filter (PF) for nonlinear and non-Gaussian systems is studied. But the biggest problem we face when using PF is particle degradation. In order to solve the influence of particle degradation problem on the tracking and positioning accuracy of submarine targets on enemy ships, improved particle filtering algorithms, namely extended Kalman particle filtering algorithm (EPF) and untraced Kalman particle filtering algorithm (UPF), are also studied in this paper. Under the same initial conditions, the three filtering algorithms are simulated. The simulation results show that UPF algorithm has the best filtering effect in submarine tracking and positioning of enemy ship targets. © 2023 IEEE.

关键词： Enemy ship target tracking and positioning Particle filtering Submarine covert attack

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A Wireless Sensor Networks in Localization Using Support Vector Machines 3

A Wireless Sensor Networks in Localization Using Support Vec...

引用

3rd international conference on smart Generation computing, Communication and Networking, smart GENCON 2023

作者： Kataria, Ansh Centre for Interdisciplinary Research in Business and Technology Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350319125

Location data is essential in a wide variety of contexts. The localization challenge refers to the process of determining a sensor node's physical position. Identifying unknown nodes from the known positions of existing nodes is the primary difficulty. In this work, we offer a fuzzy-logic based range-free localization strategy. Received strength of signal (RSS) from anchor nodes in close proximity to sensor nodes is utilized in the localization method, and fuzzy analysis is used to establish a relationship among RSS and distance in order to assess the precision of localization. Through comprehensive simulations, we compared our suggested technique to various current methods. The results of the simulations validate the usefulness of the suggested method. © 2023 IEEE.

关键词： Fuzzy Localization Fuzzy Logic systems Localization Wireless Sensor Network

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