Dynamic Disaster Management with Real-Time IoT Data Analysis and Response

Published: March 14, 2024

As natural and manmade disasters grew in number, as a result the problem of how to quickly effectively respond disaster has become fresh. This is precisely purpose this research: Using IoT technologies powerful data analysis techniques, integrate them into existing management systems. The beginning article contains broadcasted statement effect that traditional methods are insufficient, real-time preemptive response systems needed. With application Internet Things, an integrated system proposed which countless types information such weather conditions seismic activity gathered by sensors actuators. Advanced machine learning algorithms predictive modeling used analyze data. allows us make decisions. design construction IoT-based methodology behind research. In particular, we will evaluate effective it at reducing times increasing overall resilience disasters. results show high efficiency response, reflects feasibility method. Finally, paper discusses problems encountered implementing advanced risk suggests future research avenues. There no doubt they change present practice forever.

Language: Английский

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Innovative Urban Solutions with IoT-Driven Traffic and Pollution Control

Published: March 14, 2024

The Internet of Things (IoT) is rethinking the model for building smart cities, and this paper makes just such a step in that direction. It then examines various ways cutting urban pollution. Under increasing pressure from rising urbanization, cities represent huge leap forward regard to efficiency, scalability livability. key IoTtechnology, which collects analyzes data real time allows more quick-witted intelligent governance. This combines literature review, case study analysis data-driven methods focus on opportunities offered by IoT applications restructuring traffic systems pollution control. explains what missing modern city initiatives, offers road map bringing things solutions municipal systems. results can also serve as some answers cope with dilemma bring intelligence, cleanness, efficiency making into metropolis. article ends highlighting significance future development, ideas further research complex yet rapidly evolving area.

Language: Английский

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Smart Urban Ecosystems with IoT-Based Strategies for Traffic Optimization and Pollution Control

Published: May 2, 2024

The current research is directed toward the usage of Internet Things (IoT) solutions for improvement urban environment by joining traffic optimization and pollution management. Through utilization data-driven analysis MATLAB simulations, evaluates effects implemented IoT technologies on management in areas emission reduction. concludes that IoT-related initiatives can make a great difference improvements flow, reducing levels principal pollutants, inspiring move towards more environmentally-friendly modes transport. Moreover paper investigates system's resilient nature energy efficiency making case technological paradigm shift will transform cities planning governance. In addition to these challenges like privacy, data security, access equitable also examined. results survey strongly point out transformative power IOT creation which are pragmatic, sustainable liveable moreover showing future where smart indispensable part solving complexities environmental

Language: Английский

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Enhancing Industrial Equipment Reliability Through an Optimized ANN-Powered Predictive Maintenance System

Advances in chemical and materials engineering book series, Journal Year: 2025, Volume and Issue: unknown, P. 383 - 404

Published: Feb. 5, 2025

Maintaining industrial equipment ensures efficiency, reduces downtime, and prevents costly failures. Routine inspections or equipment's reactive response breakdowns may not be efficient it can cause unexpected This chapter presents an automated framework for predictive maintenance using ANN. The independent parameters including air temperature, torque, rotational speed tool wear are used to estimate the failure of equipment. proposed ANN network is initially optimized by tuning its hyperparameters i.e. hidden layers, learning rate regularization parameter. Later validated quantitative accuracy, precision, recall F1-score. succeeded with 98% accuracy in prediction. real-time improve reliability reduction cost boost efficiency. customized integrated a management system further meet demand various prevent shutdown machinery.

Language: Английский

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Revolutionizing Patient Care Through the Convergence of IoMT and Generative AI

Advances in healthcare information systems and administration book series, Journal Year: 2025, Volume and Issue: unknown, P. 217 - 242

Published: Jan. 17, 2025

The incorporation of the Internet Medical Things and Generative AI to this process shall transform patient care by offering continuous tracking, analysis individualized progression control. This chapter is dedicated synergistic fusion IoT in Technology (IoMT) Artificial Intelligence provides a brief summary what it is, how functions, can be expected future field health care. When combined with data acquiring capacity IoMT analytical potential AI, hospitals other medical facilities have bring diagnosis treatment higher level. Some real-life usage examples uses SDN are shown through different use cases, including chronic disease management, elderly care, virtual assistance, prognostic management maintenance healthcare facilities' equipment tools.

Language: Английский

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A Novel Approach for Identification and Donation of Surplus Food using Machine Learning-based Replate App

Published: Aug. 23, 2023

The focus of this study is a specialized program created to precisely address the problem leftover food donations from gatherings and hostels, among other sources. Given prevalence landfills, trash bins, cluttered city streets, issue loss especially concerning in highly populated nations like India. Weddings, canteens, restaurants, social gatherings, family events are just few that greatly contribute large amount wasted. waste reflects more than current economic hardships environmental damage. In addition waste, quick changes lifestyle high living standards have also led clothing products. It essential transfer these priceless resources humanitarian organizations old age homes orphans combat this, assuring their usage rather waste. An internet-based Android application acts as platform promote effective distribution presented potential approach achieving goal.

Language: Английский

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AIoT Integration Advancements and Challenges in Smart Sensing Technologies for Smart Devices

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 42 - 65

Published: Jan. 26, 2024

Artificial intelligence in things (AIoT) has revolutionized the capabilities and features of smart gadgets. Technology advancements sensing have allowed for seamless integration AI IoT, increasing general efficacy devices. This chapter looks at technology's progress challenges context AIoT integration. The study begins with a brief introduction its significance device industry. It then delves into numerous technologies that aid bringing IoT together, such as environmental sensors, motion biometric more. Miniaturization, improved accuracy, lower power consumption are just few ways these sensor progressed. also highlights integrating technology. need efficient management, interoperability, complexity fusion data integration, concerns over security privacy some obstacles way.

Language: Английский

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Optimizing Renewable Energy Integration in Smart Grids through IoT-Driven Management Systems

Published: May 2, 2024

The incorporation of renewable energy sources into smart grid systems does basically signify a significant move achieving sustainable consumption and management. On the contrary, due to unpredictability renewables grids' increased complexity, there remain certain issues be tackled. This study explores enhancing capacity derived from through IoT linked management systems. Through utilization modern technologies which contribute towards maximizing effectiveness operations aims accomplish this thereby efficiency, reliability, sustainability grids, in turn facilitate balancing supply demand optimal distribution followed by ready integration sources. paper focuses on holistic solution that includes sensors devices perform real-time monitoring, devising algorithms for an system, harnessing power cloud computing analyze data. part involves implementation explaining practical steps done work out framework: system's architecture design, selection, data activities control mechanism's integration. Simulation results represent ability distributed advance practices showing decrease transportation losses, AC stability RES potential. Problems come up during course project, like scalability security, are described, solutions those problems proposed.

Language: Английский

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Deep Learning Approaches for Real-Time IoT Data Processing and Analysis

Published: Sept. 18, 2024

Language: Английский

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Cloud-Based Multi-Layer Security Framework for Protecting E-Health Records

Published: Dec. 29, 2023

The increasing role that cloud computing plays in storing e-health data has highlighted the necessity for strong security measures. purpose of this study is to shed light on difficulties protecting private health kept servers. As first priority, we developed a unique multi-layer architecture cloud-based protect electronic data. We provide complete analysis current protocols, perform vulnerability assessment, and create more robust multi-layered as part our methodology. concept includes sophisticated encryption methods, strict access rules, instruments ongoing threat detection. In order assess effectiveness framework, ran extensive simulations with an emphasis integrity, control, confidentiality. findings show considerable improvement over conventional, one-layer techniques. proposed framework guarantees regulatory compliance addition providing enhanced against illegal breaches. have found safeguarding records—which are critical both patients healthcare providers—requires approach built cloud. may lead improved future.

Language: Английский

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