Published: Sept. 27, 2024
Language: Английский
ACS Biomaterials Science & Engineering, Journal Year: 2024, Volume and Issue: 10(3), P. 1262 - 1301
Published: Feb. 20, 2024
The rapid maturation of smart city ecosystems is intimately linked to advances in the Internet Things (IoT) and self-powered sensing technologies. Central this evolution are battery-less sensors that critical for applications such as continuous health monitoring through blood metabolites vital signs, recognition human activity behavioral analysis, operational enhancement humanoid robots. focus on biosensors exploit body energy-spanning wearable, attachable, implantable variants has intensified, driven by their broad applicability areas from underwater exploration biomedical assays earthquake monitoring. heart these lies diverse energy harvesting mechanisms, including biofuel cells, piezoelectric, triboelectric, pyroelectric nanogenerators. Notwithstanding wealth research, literature still lacks a holistic review integrates design challenges implementation intricacies sensors. Our seeks fill gap thoroughly evaluating strategies both material structural perspectives assessing roles powering an array myriad uses. This offers comprehensive outlook state devices, tackling nuances deployment highlighting potential revolutionize data gathering autonomous systems. intent chart current landscape future prospects, providing pivotal reference point ongoing research innovation wireless
Language: Английский
Citations
14
Artificial Intelligence Review, Journal Year: 2025, Volume and Issue: 58(3)
Published: Jan. 8, 2025
Abstract This paper explores the transformative impact of Internet Medical Things (IoMT) on healthcare. By integrating medical equipment and sensors with internet, IoMT enables real-time monitoring patient health, remote care, individualized treatment plans. significantly improves several healthcare domains, including managing chronic diseases, safety, drug adherence, resulting in better outcomes reduced expenses. Technologies like blockchain, Artificial Intelligence (AI), cloud computing further boost IoMT’s capabilities Blockchain enhances data security interoperability, AI analyzes massive volumes health to find patterns make predictions, offers scalable cost-effective processing storage. Therefore, this provides a comprehensive review (IoT) IoMT-based edge-intelligent smart healthcare, focusing publications published between 2018 2024. The addresses numerous studies IoT, IoMT, AI, edge computing, security, Deep Learning, blockchain. obstacles facing are also covered paper, interoperability issues, regulatory compliance, privacy concerns. Finally, recommendations for provided.
Language: Английский
Citations
1
IEEE Transactions on Consumer Electronics, Journal Year: 2024, Volume and Issue: 70(1), P. 3487 - 3494
Published: Feb. 1, 2024
Recently, digital images are an essential source of data obtained from consumer devices, thus playing a crucial role in various important scenarios such as apps, businesses, e-commerce, education, entertainment and healthcare. However, security privacy primarily concerned with the transmission storage these images. Therefore, there is urgent demand to protect their copyright prevent leakage. To address concerns, this paper presents novel multimodal biometric, encryption watermarking-based method for image security. First, biometric features extracted fused using customized deep learning model. Second, different secret keys used encrypt Here, features, considered watermarks, divided into sub-features before encrypting them keys. Third, improve while maintaining imperceptibility, encoded embedded multiple cover media-based convolutional neural network (ConvNet). The experimental results demonstrate that proposed system highly secure it can recover complete marks under attacks. Further, experiments illustrate superior performance our terms both imperceptibility robustness compared competing schemes. It indicates considerable improvement 62.83% 25.16%, respectively over existing
Language: Английский
Citations
8
Discover Internet of Things, Journal Year: 2023, Volume and Issue: 3(1)
Published: Aug. 31, 2023
Abstract The Internet of Things (IoT) is rapidly becoming one the most talked-about and essential components any digitization process. IoT comprised several key necessary components, important which are sensors, communication (the internet), user interfaces for data processing. IoTs currently finding applications in virtually every industry, including healthcare, where they known as internet medical things (IoMT), industrial (IIoT), interconnection between people, everything (IoE). challenge to leverage (IoT), technology, create smarter more sustainable cities that enhance quality life residents. Therefore, this article; we have demonstrated use a variety smart communities. These include transportation, water management, garbage house illumination, parking, infrastructure, etc. This research also includes an explanation flow process implementing different communities, well their characteristics particular applications. Along with illustration, stages involved implementation city consist displayed here. We taken into consideration instances cases utilizing IoT. Some these automated collection methods management systems condition water. Based on findings research, came conclusion devices play role each project implementations.
Language: Английский
Citations
14
Sensors, Journal Year: 2023, Volume and Issue: 23(23), P. 9372 - 9372
Published: Nov. 23, 2023
The increasing reliance on cyber-physical systems (CPSs) in critical domains such as healthcare, smart grids, and intelligent transportation necessitates robust security measures to protect against cyber threats. Among these threats, blackhole greyhole attacks pose significant risks the availability integrity of CPSs. current detection mitigation approaches often struggle accurately differentiate between legitimate malicious behavior, leading ineffective protection. This paper introduces Gini-index blockchain-based Blackhole/Greyhole RPL (GBG-RPL), a novel technique designed for efficient health monitoring GBG-RPL leverages analytical prowess Gini index advantages blockchain technology sophisticated research not only focuses identifying anomalous activities but also proposes resilient framework that ensures reliability monitored data. achieves notable improvements compared another state-of-the-art referred BCPS-RPL, including 7.18% reduction packet loss ratio, an 11.97% enhancement residual energy utilization, 19.27% decrease consumption. Its features are very effective, boasting 10.65% improvement attack-detection rate 18.88% faster average time. optimizes network management by exhibiting 21.65% message overhead 28.34% end-to-end delay, thus showing its potential enhanced reliability, efficiency, security.
Language: Английский
Citations
13
Advanced Functional Materials, Journal Year: 2024, Volume and Issue: unknown
Published: June 29, 2024
Abstract Ubiquitous noise pollution has been associated with significant negative impacts on human health. However, current porous sound‐absorbing materials encounter considerable obstacles such as thick density, narrow absorbing band, and limited function. Here, a facile‐producing method for lightweight efficiently aerogels made from bacterial cellulose (BC) poly(vinyl alcohol) (PVA) is presented. The fabricated anisotropic directional pores exhibit minimum density low 11.3 mg cm −3 . Meanwhile, the lamellar areal (20.89 −2 ) remarkable attenuation performance reduction coefficient of 0.51.Furthermore, BC‐PVA‐Ba 0.85 Ca 0.15 Zr 0.9 Ti 0.1 O 3 (BCZT) show enhanced sound absorption performance, these are self‐powered sensors to monitor vehicle collisions gestures. algorithm yields high accuracy in gesture recognition (100%) based deep‐learning model. These offer an encouraging application prospect automobile field realize car weight vehicle's intelligent control system.
Language: Английский
Citations
5
Journal of Intelligent Systems, Journal Year: 2025, Volume and Issue: 34(1)
Published: Jan. 1, 2025
Abstract With the acceleration of industrialization and increase in complexity equipment, it is particularly important to accurately predict effectively maintain equipment failures. In response problem difficulty achieving predictive maintenance severely limited application range new real-time disassembly sensors, this article conducts research on synergistic effect sensors artificial intelligence technology. First, relevant parameter data a certain enterprise’s generator can be collected on-site, Pearson correlation coefficient method used calculate between parameters target fault type, ensuring degree extracting features. Then, based gated recurrent unit (GRU) model, applied particle swarm optimization (PSO) algorithm optimize GRU network support vector machine (SVM) model classification function output. Finally, optimized types generators, this, energy industry, agriculture, medical health, transportation industries verify scalability sensors. The experimental results show that combined with sensor achieved an average accuracy 0.94 prediction, cost loss rate only 3.03%, decrease 5.91% compared single sensor. combination technology for precise generators greatly reduces costs overcomes limitations individual disassembly. This has some extent expanded scope promoted intelligent development various industries.
Language: Английский
Citations
0
Advances in medical technologies and clinical practice book series, Journal Year: 2025, Volume and Issue: unknown, P. 61 - 88
Published: Jan. 31, 2025
This research tackles a major gap in healthcare for patients with severe disabilities, especially those unable to communicate or move, such as paralysis. Current solutions provide minimal support and lack natural, non-verbal communication. study introduces smart IoT-based bed that uses advanced sensors translate neural signals into meaningful insights. By integrating brain-computer interface (BCI) technology, the captures brain EEG sensors, effectively translating patients' needs emotions like discomfort hunger. innovation enhances communication, reducing reliance on verbal physical cues, improving response accuracy by 40%, increasing caregiver efficiency 35% over conventional methods. highlights IoT's potential setting new standard patient-centered care.
Language: Английский
Citations
0
Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 86 - 102
Published: Jan. 1, 2025
Language: Английский
Citations
0
IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 221 - 246
Published: March 19, 2025
Integrating emerging digital technologies is revolutionizing the landscape of physical education (PE). This transformative trend emphasizes fusion interactive platforms, wearable devices, and virtual reality (VR) to enhance learning experiences activities. These offer personalized feedback, real-time monitoring, immersive simulations, fostering a dynamic engaging environment for students. By leveraging these innovative tools, educators can adapt their teaching methods cater individual needs, promote active participation, cultivate lifelong appreciation fitness. Embracing trends paves way more inclusive, interactive, effective approach in age.
Language: Английский
Citations
0