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IoT-Enabled Personalized ICU Nutrition Plans: An intelligent Approach Through Decision Tree Algorithm

IoT-Enabled Personalized ICU Nutrition Plans: An Intelligent...

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2024 international conference on Advances in data Engineering and intelligent computing systems, ADICS 2024

作者： Solainayagi, P. Department Of Computer Science And Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350364828

Personalized care and continuous patient monitoring are signs of critical care units (ICUs), where the IoT may significantly enhance healthcare delivery. Optimal nutrition plans for ICU patients, taking into account their unique requirements, preferences, and medical issues, is a difficulty in IoT-enabled healthcare. Using Decision Tree (DT) algorithms, it provides a smart method for creating individualized ICU nutrition plans in this research. In the ICU, users take readings of vital signs using internet-connected equipment, including temperature, heart rate, blood oxygen saturation, and body mass index. After that, it sorts the patients into several groups according to their nutritional needs and potential dangers using DT algorithms that are used with the collected data. The system for patients is created using the categorization findings;these plans consider the patient's calorie, protein, fluid, and micronutrient consumption. By comparing the technique to the current ones and utilizing a simulated dataset of ICU patients, it assesses how well it performs. Better health outcomes and lower healthcare costs may be achieved by using the technique to create more precise and efficient diet plans for ICU patients. © 2024 ieee.

关键词： Nutrition

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Understanding and Addressing data Security and Privacy Concerns in Modern Cloud computing systems

Understanding and Addressing Data Security and Privacy Conce...

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2024 ASU international conference in Emerging Technologies for Sustainability and intelligent systems, ICETSIS 2024

作者： Ateeq, Ali Alaghbari, Mohammed Abdulrazzaq Ateeq, Ranyia Ali Ahmed, Ammar Yousif College of Administrative and Financial Science Gulf University Administrative Science Department Sanad26489 Bahrain College of Administrative Sciences Applied Science University Business Administration Department Bahrain College of Information Technology University of Bahrain Bahrain College of Arts and Science Applied Science University Computer Scince Department Bahrain

ISBN: (纸本)9798350372229

This research examines the influence of the use of cloud computing on data management, with a specific emphasis on its ability to provide scalable solutions for storage and processing. The methodological approach involves doing a thorough assessment of existing literature and analyzing secondary data sources in order to provide a full overview of the topic matter. A systematic literature review was used to collect pertinent research results and data pertaining to the impact of cloud computing on data management. This approach facilitates the amalgamation of preexisting information and perspectives from many sources. The observations indicate that cloud computing has revolutionized data management by providing scalable and adaptable choices for both storage and processing. It has empowered enterprises to effectively manage substantial amounts of data and use computational resources as needed. Nevertheless, the ease and accessibility of cloud computing can give rise to difficulties in the confidentiality and protection of data. To address these difficulties, it is essential to implement encryption, and access control, and comply with data protection rules. The research concludes that cloud computing has fundamentally transformed data management, providing firms with robust tools to efficiently handle data. Nevertheless, it entails the need to employ resilient data privacy and security safeguards. Organizations should give priority to implementing measures such as encryption and access control in order to safeguard sensitive data. Adhering to legislation such as GDPR is crucial for maintaining trust and complying with legal obligations. © 2024 ieee.

关键词： access control Cloud computing compliance data management data privacy encryption GDPR processing scalability security storage

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intelligent Metering Innovations for Urban Utility Management: A Review 2

Intelligent Metering Innovations for Urban Utility Managemen...

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2nd international conference on Automation, computing and Renewable systems, ICACRS 2023

作者： Sivadevuni, Sreeparnesh Sharma Maiya, Raghavendra Ganesh, Deepthi Krishna, Adarsh R. Itron India Pvt Ltd Bengaluru India

ISBN: (纸本)9798350340235

This study examines the factors that led to the development of smart meters, their subsequent evolution, and their global implementation. This study presents a comprehensive overview of the existing body of knowledge for both researchers and industry practitioners, with the aim of establishing the role of intelligent metering, also known as smart metering, in facilitating sustainable urban gas, water & electricity management. The potential of this technology to transform customer engagement and enhance the management of urban cities by utilities is emphasized. Thus far, the implementation of intelligent metering has been driven by the need for more data on use patterns and specific end-uses, such as those related to showers, toilets, gas leakage detection, gas consumption pattern, EV consumption pattern and so on. The energy sector has consistently been at the forefront of technical innovation, but the industries has seen a relative delay in adopting such advancements. In the upcoming few years, there will be a notable transition in the use of intelligent meters, as they move from mostly being utilized on a pilot or demonstration scale to achieving broader, more prevalent usage. The importance of real-time data in customer interaction and demand management, the ownership, sharing, and privacy of data, the management of technical data and infrastructure security, the skills of utility personnel, andthe costs and benefits associated with deployment are among the under-discussed problems that need attention. This study elaborates about the evolution of different types of meters, technologies involved and the benefits of using the Smart Meter. © 2023 ieee.

关键词： advanced meter reading advanced metering infrastructure Internet of Things Smart cities Supply chain management

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Enhancing Substation Automation by RTU Design Optimization and database Standardization for Improved Operational Efficiency in Tata Power-DDL 9

Enhancing Substation Automation by RTU Design Optimization a...

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9th ieee international conference for Convergence in Technology, I2CT 2024

作者： Sharma, H.C. Bagchi, Shrinjoy Mogha, Abhinav Tata Power -DDL Technical Services Delhi India

ISBN: (纸本)9798350394474

In India, despite escalating electricity demand, distribution companies' grapple with high Aggregate Technical & Commercial Losses (AT&C) and technological gaps. A digitized distribution grid, prioritizing "Information Value"over "Energy Value,"serves as an automated network ensuring efficient and reliable energy supply. Substation Automation, driven by advanced supervisory control and data acquisition (SCADA) systems, facilitates centralized monitoring and control of the entire Power System Network. Modern electronics, computational platforms, and field devices, particularly the Remote Terminal Unit (RTU), are integral to this automation. The RTU collects data from downstream intelligent Electronic Devices (IEDs) on diverse electrical equipment, forming a complex ecosystem. While these IEDs drive the digital revolution in utilities, their increasing integration with RTUs poses vulnerabilities, leading to electronic hang conditions. RTU breakdowns result in zero visibility for a grid substation, impacting system reliability, and contributing to heighten System Average Interruption Duration Index (SAIDI), MU Loss, prolonged Mean Time to Restore (MTTR), and inaccurate load forecasts. This paper explores methodologies for optimizing Substation RTU performance, addressing hardware, software, and network design enhancements. © 2024 ieee.

关键词： SCADA systems

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Analysis of Input Voltage-Output Frequency Relationship in VCOs Using a Linear Time-Varying Model 10

Analysis of Input Voltage-Output Frequency Relationship in V...

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10th ieee international conference on Communications and Electronics (ieee ICCE)

作者： Yao, Qin Kawai, Shin Nguyen-Van, Triet Univ Tsukuba Grad Sch Sci & Technol Intelligent & Mech Interact Syst Ibaraki Japan

ISBN: (纸本)9798350379808;9798350379792

This paper delves into the dynamic behavior and control complexities of voltage-controlled oscillators (VCOs) within high-speed data transmission systems. We conduct an in-depth analysis of the intricate dynamics inherent to VCOs, recognizing their nonlinear nature. To accurately capture these nonlinearities and dynamic characteristics, we meticulously develop a comprehensive state-space model. Furthermore, we investigate the evolution of the linear time-varying (LTV) model from nonlinear models, particularly concerning specific voltage inputs. Our study also proposes a frequency calculation formula for computing the LTV model of the VCO, facilitating the design of control inputs. These advancements hold significant potential to enhance VCO performance in high-speed data transmission applications, offering valuable insights for further research and practical implementation.

关键词： VCO state space equation frequency nonlinear linear time-varying model

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Secure Communication Protocols for IoT-Enabled Smart Grids

Secure Communication Protocols for IoT-Enabled Smart Grids

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2024 international conference on Innovative computing, intelligent Communication and Smart Electrical systems, ICSES 2024

作者： Soni, Vandana Naveen Kumar, C. Jain, Virendra Santhoshkumar, G. Praveen Yuvasri, B. Rajendiran, M. Shah & Anchor Kutchhi Engineering College Department of Computer Engineering Maharashtra Mumbai400088 India Global Academy of Technology Department of Computer Science and Engineering Karnataka Bengaluru560098 India Mandsaur University Department Electrical & Electronics Engineering Madhya Pradesh 458002 India Department Electronics and Communication Engineering Tamil Nadu Erode638052 India R.M.K College of Engineering and Technology Department of Computer Science and Engineering Tamil Nadu Thiruvallur601206 India Panimalar Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai600123 India

ISBN: (纸本)9798331543617

The integration of the Internet of Things (IoT) into smart grids has changed energy management and distribution, and among its benefits are enhanced operational efficiency and real-time monitoring. However, there are significant security dangers associated with this growing interconnectedness, especially about the communication protocols. The goal of this project is to safeguard Internet of Things (IoT)-enabled smart grids from data breaches and cyberattacks by looking at secure communication methods. We provide a study of the available data integrity checks, authentication methods, and encryption technologies to suit the unique requirements of smart grid infrastructure. Furthermore, we assess how well different protocols mitigate common security threats including denial-of-service attacks, man-in-the-middle attacks, and unauthorized data access assaults. The study's conclusions highlight the importance of lightweight security solutions that can maintain high-performance levels and offer reliable protection at the same time. advanced secure communication protocols can be implemented to increase the resilience of IoT-enabled devices. © 2024 ieee.

关键词： data integrity

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An Automatic Navigation System for New Technical advanced Drones for Different Alpplications 5

An Automatic Navigation System for New Technical Advanced Dr...

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5th ieee international conference on computing, Power, and Communication Technologies, IC2PCT 2024

作者： Talwandi, Navjot Singh Thakur, Payal Khare, Shanu Chandigarh University Dept of Computer Science Engineering Punjab India

ISBN: (纸本)9798350383522

Autonomous pilot technology integrated into drones has ushered in a new era of unmanned aircraft systems, creating a multitude of applications This abstract examines the importance of the importance and potential of autonomous pilot aircraft, underscoring its transformative impact on industries ranging from agriculture to surveillance and beyond Navigation requires intelligent a unmanned aerial vehicles (UAVs) will be equipped with sophisticated artificial and sensor systems, enabling them to operate autonomously without constant human intervention A rapidly growing field in robotics and aerospace technology Tires It is showing to do so, the paper provides a comprehensive overview, including key concepts, challenges, and recent developments in autonomous automation enter the box. It also discusses, and educates, the critical importance of real-time operations, the critical role of obstacle detection and avoidance systems, and the use of GPS and optical-based navigation delves into how machine learning and artificial intelligence enhance the autonomy of drones. In addition, the paper explores the many potential applications and benefits of autonomous drone communications, from search and rescue missions to precision agricultural delivery Growing interest and investment in this technology in 2013 highlights its potential to transform industries, promising a future marked by improved safety and performance. © 2024 ieee.

关键词： and applications artificial intelligence Autonomous drones GPS machine learning navigation obstacle avoidance real-time data processing vision-based navigation

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Experimental Analysis of an IoT Based Secured data Communication between Social Communities Over Wireless Sensor Network Environment

Experimental Analysis of an IoT Based Secured Data Communica...

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2024 international conference on Innovative computing, intelligent Communication and Smart Electrical systems, ICSES 2024

作者： Shifani, S. Agnes Korde, Vivek Vijay, Sreeja Shalout, Imad Indhumathi, V. Revathi, R.B. Saveetha University Department of Ece Chennai India Yeshwantrao Chavan College of Engineering Department of Mechanical Engineering Nagpur India S.A. Engineering College Department of Ece Chennai India Zarqa university Faculty of engineering Department of Civil Engineering Zarqa Jordan University of Business and Technology Jeddah21448 Saudi Arabia Sriram Engineering College Department of Cse Chennai India

ISBN: (纸本)9798331543617

With respect to the expertise, background, and information that the communities of a social affair with a wireless sensor network (WSN) have contributed the purpose of this study is to offer an updated data communication technique under the heading of Secure Communication for data Centric Social Affair in IoT powered Wireless Sensor Network. The system creates a decentralized and resilient network for the exchange of data using IOT devices. The proposed technique, IoT based Secured data Exchange Protocol (IoTSDEP), is a new strategy for enriched data sharing across communities. The cross-validated results with the existing method called Network data Sharing Protocol (NDSP), and the counterpart highlight its significant contributions towards efficient exchange as well as flow of information from one community to another. An IoT-based data sharing protocol is essentially the rules or standards that govern how different 'things' transfer and exchange digital information between them. This protocol is devised to ensure crossfunctionality, reliability and scalability within an IoT-based environment. It utilizes advanced cryptographic techniques, like lightweight encryption algorithms and secures data confidentiality, integrity as well authentication. The framework further includes secure routing protocols and intrusion detection mechanisms to defend against likely threats. The system enhances privacy, trust and collaboration among the members of the community with the provision for secure information flow in WSN. © 2024 ieee.

关键词： Network intrusion

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Securing Medical data in Cloud-Based IoT Networks Using Deep Learning Techniques 4

Securing Medical Data in Cloud-Based IoT Networks Using Deep...

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4th international conference on Ubiquitous computing and intelligent Information systems, ICUIS 2024

作者： Saranya, K. Valarmathi, A. Tiruchirappalli Anna University Faculty of Information and Communication Engineering UCE-BIT Campus Chennai India Tiruchirappalli Anna University Department of Computer Applications UCE-BIT Campus Chennai India

ISBN: (纸本)9798331529635

The way sensitive medical data is created and sent to cloud-based platforms has been completely transformed by the growing use of Internet of Things (IoT) technology in the healthcare industry. Even with these developments, protecting the privacy and accuracy of medical records is still quite difficult. The diagnosis of diseases using medical data has become increasingly important as medical technology has advanced. It is common for medical data to move via the branches of the network from one end to the other. As a result, a high degree of security is required. Problems arise when the image data is used without authorization. One of the finest methods for securing data in an image is encryption, which uses confusion and diffusion. To address this, our study suggests a novel approach to improve medical data security by incorporating confusion and diffusion method. This feature immediately addresses issues related to unauthorized access by guaranteeing the privacy of medical records both during transmission and storage. Identifying and reducing possible security risks is greatly aided by deep learning algorithms, particularly RNN for stroke and Deep Convolutional Neural Networks (Xception model) for skin cancer photos. Our study broadens its scope to include secure and predictive analytics on medical data in the suggested system. Several metrics, including accuracy, precision, recall, confusion metrics, AUC, PSNR, and MSE, are used in this study to assess prediction models. This all-encompassing strategy improves the security of medical data while simultaneously enhancing predictive analytics' potential to improve patient care and results. © 2024 ieee.

关键词： Convolutional neural networks

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advanced Intrusion Detection systems Leveraging Knowledge Graph-Based Techniques 12

Advanced Intrusion Detection Systems Leveraging Knowledge Gr...

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2024 12th international conference on systems and Control, ICSC 2024

作者： Daoud, Mohamed Amine Mostefaoui, Sid Ahmed Mokhtar Meghazi, Hadj Madani Labbadi, Ourida Zenina, Chaima Bouguessa, Abdelkader Ibn-Khaldoun University of Tiaret LRIAS Lab Dept. of Computer Sciences Algeria Ibn-Khaldoun University of Tiaret Dept. of Computer Sciences Algeria

ISBN: (纸本)9798331531812

The integration of intrusion detection systems (IDS) is crucial for strengthening network security. Improving IDS performance requires advanced techniques for handling intrusion detection data, with machine learning playing a key role. However, machine learning methods often face difficulties in detecting complex attack patterns and are prone to generating a high number of false positives, especially when dealing with unknown attacks. To overcome these issues, enhancing IDS capabilities with knowledge graphs is essential. Knowledge graphs have proven to be valuable tools for modeling and analyzing complex interactions within security data. This article proposes an approach that combines knowledge graphs with machine learning and deep learning. By harnessing the semantic modeling, querying, and reasoning capabilities of knowledge graphs, this integration aims to address the challenges of intelligent detection and decision-making in cybersecurity. © 2024 ieee.

关键词： Network intrusion

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