Article
Computer Science, Information Systems
Amir Masoud Rahmani, Zahra Babaei, Alireza Souri
Summary: IoT is transitioning to a smarter world by deploying a large number of sensors worldwide, with data analysis focusing on Complex Event Processing (CEP). In healthcare, CEP plays a crucial role in achieving reliable and cost-effective real-time event processing for improving healthcare quality.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
(2021)
Article
Computer Science, Hardware & Architecture
Maryam Songhorabadi, Morteza Rahimi, AmirMehdi MoghadamFarid, Mostafa Haghi Kashani
Summary: The development of smart cities heavily relies on advanced computing paradigms, such as fog computing, to address the requirements of location-aware, latency-sensitive, and security-crucial applications. However, the frequently used cloud-based approaches in smart cities restrict the security, time-sensitive services, flexibility, and reliability. This paper proposes a study to explore the state-of-the-art fog-based approaches in smart cities and presents a classification of these approaches into service-based, resource-based, and application-based classes.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Rang Zhou, Xiaosong Zhang, Xiaofen Wang, Guowu Yang, Nadra Guizani, Xiaojiang Du
Summary: The smart city concept aims to improve the management level of modern cities, with health management being a crucial aspect. Hospitals play a significant role in providing high-quality medical services through accurate patient health data analysis. Protecting data privacy is important when sharing patient health data for precise diagnosis and efficient treatment plans.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Chemistry, Multidisciplinary
Armin Razmjoo, Amirhossein Gandomi, Maral Mahlooji, Davide Astiaso Garcia, Seyedali Mirjalili, Alireza Rezvani, Sahar Ahmadzadeh, Saim Memon
Summary: As smart cities emerge, the Internet of Things plays a crucial role in sectors such as environment monitoring, public transport, utilities, street lighting, waste management, public safety, and smart parking, enhancing city efficiency and improving quality of life.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Analytical
Fariza Sabrina, Julian Jang-Jaccard
Summary: Smart cities utilize IoT devices to collect and analyze data for infrastructure improvement, but security concerns remain. This study introduces a blockchain-based entitlement-based access control architecture for secure data sharing in IoT environments.
Article
Computer Science, Information Systems
Zhentao Huang, Yuyang Peng, Jun Li, Fei Tong, Konglin Zhu, Limei Peng
Summary: This study proposes a scheme using artificial noise and antenna selection technology for space shift keying to enhance the security performance of IoT applications. By employing appropriate cancellation technology and signal selection methods, the security performance of the communication system can be significantly improved.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Mathematics, Interdisciplinary Applications
R. Carreno Aguilera, M. Patino Ortiz, J. Patino Ortiz, A. Acosta Banda
Summary: Blockchain technology, despite its seemingly trivial nature, has attracted significant investment and shows potential for various applications. This paper discusses an expert system utilizing smart contracts and neural networks to optimize sensor distribution and take actions based on user preferences.
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2021)
Article
Construction & Building Technology
Rami D. Orejon-Sanchez, David Crespo-Garcia, Jose R. Andres-Diaz, Alfonso Gago-Calderon
Summary: This study examines the evolution of Spanish cities towards digital transformation and the need for evaluation in order to better utilize funding and resources for future development.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Computer Science, Information Systems
Mohammad Aminul Hoque, Mahmud Hossain, Shahid Noor, S. M. Riazul Islam, Ragib Hasan
Summary: The Internet of Things (IoT) enables new smart city services through digital devices, but deployment and management tasks can be difficult and expensive. A drone-based service framework is proposed to dynamically configure IoT devices, reducing costs and increasing device utilization.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Review
Automation & Control Systems
Othmane Friha, Mohamed Amine Ferrag, Lei Shu, Leandros Maglaras, Xiaochan Wang
Summary: This paper comprehensively reviews emerging technologies for IoT-based smart agriculture, including UAVs, wireless technologies, and cloud computing. It provides a classification of IoT applications for smart agriculture and discusses the latest methods for supply chain management based on blockchain technology. Real projects using these technologies are showcased, along with open research challenges and future research directions for agricultural IoTs.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2021)
Article
Mathematics
Abdulaziz Aldribi, Aman Singh
Summary: This study proposes a blockchain-empowered decentralized and scalable solution for a sustainable smart-city network using technologies such as IoT, fog nodes, permissioned trust chain, smart contract, blockchain, and IPFS. It improves performance, scalability, and distribution for a sustainable smart-city network.
Review
Chemistry, Analytical
Md Whaiduzzaman, Alistair Barros, Moumita Chanda, Supti Barman, Tania Sultana, Md. Sazzadur Rahman, Shanto Roy, Colin Fidge
Summary: Smart cities utilize various components and emerging technologies to enhance city administration and resident services. IoT communications play a crucial role in smart city operations. This paper provides an overview of smart cities' concepts, characteristics, and applications, and discusses the challenges and possibilities, as well as solutions, in recent technological trends such as machine learning and blockchain. It also highlights the importance of security and privacy aspects, including blockchain applications, in building trustworthy and resilient smart cities. The impact of recent emerging technologies on challenges, applications, and solutions for futuristic smart cities is outlined.
Review
Computer Science, Information Systems
Himanshu Sharma, Ahteshamul Haque, Frede Blaabjerg
Summary: Artificial intelligence and machine learning technologies have great potential in efficiently managing IoT nodes in smart cities, which are often based on low power Bluetooth and wireless sensor network standards. The study suggests using machine learning methods to optimize WSN-IoT nodes in smart cities, with supervised learning algorithms being the most widely used in smart city applications.
Article
Computer Science, Information Systems
Naercio Magaia, Ramon Fonseca, Khan Muhammad, Afonso H. Fontes N. Segundo, Aloisio Vieira Lira Neto, Victor Hugo C. de Albuquerque
Summary: The significant evolution of the Internet of Things has led to the development of smart city devices that have replaced manual labor, increasing efficiency and intelligence in cities. However, the increased sensitivity of data, especially in the industrial sector, has attracted hackers targeting Industrial IoT devices or networks, leading to a rise in the number of malware infections. This article discusses the concept and applications of IIoT in smart cities, as well as the security challenges faced in this emerging area, along with available deep learning techniques to enhance IIoT security.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Khalid Haseeb, Tanzila Saba, Amjad Rehman, Zara Ahmed, Houbing Herbert Song, Huihui Helen Wang
Summary: The Internet of Things connects sensors and networks to monitor communication and collect data. This article proposes a trust-based routing model to improve trustworthiness and collaborative communication in smart cities. It includes fault-tolerant relaying and balancing network cost using machine learning.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Editorial Material
Computer Science, Information Systems
Yulei Wu, Yi Pan, Payam Barnaghi, Zhiyuan Tan, Jingguo Ge, Hao Wang
Article
Computer Science, Information Systems
Francisco M. Garcia-Moreno, Maria Bermudez-Edo, Estefania Rodriguez-Garcia, Jose Manuel Perez-Marmol, Jose Luis Garrido, Maria Jose Rodriguez-Fortiz
Summary: This study aims to assess dependence in older adults using data from wearables, showing that machine learning algorithms can replace traditional questionnaires with an accuracy of 97%. By optimizing features and hyperparameters, the best performance was achieved with a subset of only 10 features.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2022)
Article
Chemistry, Analytical
Ciprian Briciu-Burghina, Jiang Zhou, Muhammad Intizar Ali, Fiona Regan
Summary: Soil moisture is crucial for plant growth and land-atmosphere interactions. This study evaluates the performance of a soil moisture sensor network using Sense Cap capacitance-based sensors, analyzing their analytical performance, data communication, and installation errors. The evaluation shows that the network provides a low-cost and user-friendly solution, offering high-resolution data for decision support and model algorithms.
Article
Chemistry, Multidisciplinary
Abdul Wahid, John G. Breslin, Muhammad Ali Intizar
Summary: The proliferation of sensing technologies has generated vast amounts of time-series data in industrial plants and factories, making it possible to predict machine breakdown and degradation. This study proposes a hybrid CNN-LSTM method for multivariate time-series forecasting for predictive maintenance, which achieves high prediction accuracy by capturing short-term and long-term patterns of different time-series variables.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Information Systems
Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali
Summary: The majority of IoT edge devices, which are embedded systems with limited resources, cannot execute machine learning tasks. To address this issue, a framework called ML-MCU is proposed, which enables binary and multiclass classifier training directly on the microcontroller unit (MCU) using optimized algorithms. This framework allows MCU-based IoT edge devices to learn and train themselves using real-time data.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Automation & Control Systems
Suparna De, Maria Bermudez-Edo, Honghui Xu, Zhipeng Cai
Summary: This article reviews the latest technologies and applications of deep generative models (DGMs) in industrial Internet of Things (IIoT), categorizing the discussed works into application areas such as anomaly detection, trust-boundary protection, network traffic prediction, and platform monitoring. After analyzing existing implementations, challenges that need to be addressed are identified, and potential research directions are proposed.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Artificial Intelligence
Sefki Kolozali, Lia Chatzidiakou, Roderic Jones, Jennifer K. Quint, Frank Kelly, Benjamin Barratt
Summary: This study presents a cohort study on the prediction of COPD symptoms based on personal air pollution exposure. A system was developed to detect symptoms in advance using Probabilistic Latent Component Analysis (PLCA) model and Linear Dynamic Systems (LDS). The PLCA-LDS-3D model outperformed the PLCA and Random Forest models, and air pollutants proved to be good predictors of respiratory symptoms in COPD patients.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Chemistry, Analytical
Jiang Zhou, Ciprian Briciu-Burghina, Fiona Regan, Muhammad Intizar Ali
Summary: This paper proposes a machine learning approach to build a model for soil water storage capacity. By using soil moisture as a proxy variable, this method enables a convenient estimation of soil water storage capacity at a large scale. The study shows satisfactory results in soil moisture estimation and demonstrates its applicability in continuous soil moisture monitoring.
Article
Medicine, General & Internal
Megan E. Parkinson, Melanie Dani, Michael Fertleman, Eyal Soreq, Payam Barnaghi, David J. Sharp, Lucia M. Li
Summary: The prevalence of traumatic brain injury (TBI) among older adults is increasing exponentially, but research on TBI in this population is sparse. A home monitoring system called Minder, developed by the UK Dementia Research Institute, will be used to passively collect sleep and activity data from older adults with TBI. The study aims to assess the feasibility of using this system to study changes in the health status of older adults in the early period post-TBI.
Article
Geriatrics & Gerontology
Michael C. B. David, Magdalena Kolanko, Martina Del Giovane, Helen Lai, Jessica True, Emily Beal, Lucia M. Li, Ramin Nilforooshan, Payam Barnaghi, Paresh A. Malhotra, Helen Rostill, David Wingfield, Danielle Wilson, Sarah Daniels, David J. Sharp, Gregory Scott
Summary: This study used IoT technology to remotely monitor physiological measurements of 82 people with dementia over a long period of time. The findings suggest that monitoring the physiology of dementia patients in their own homes is feasible and can improve the management of acute and chronic comorbidities. Future randomized trials are needed to determine the long-term impact of this system on health and quality of life outcomes.
Article
Computer Science, Information Systems
Maria R. Lima, Ting Su, Melanie Jouaiti, Maitreyee Wairagkar, Paresh Malhotra, Eyal Soreq, Payam Barnaghi, Ravi Vaidyanathan
Summary: Advancements in conversational AI have created opportunities to promote independence and well-being of older adults, but there is limited evidence of its direct impact in supporting target populations at home. This study introduces an infrastructure that combines IoT technologies with conversational technology to analyze behavioral patterns and track health and deterioration in households with PLWD. The results demonstrate the promise of conversational AI in digital health monitoring and offer a basis for timely interventions.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Daniel Bolanos-Martinez, Maria Bermudez-Edo, Jose Luis Garrido
Summary: Ubiquitous computing and artificial intelligence contribute to deploying intelligent environments. We propose an analysis of vehicular behavior based on license plate recognition (LPR) in a rural region of three small villages. Our work extends an existing taxonomy of clustering algorithms, compares their performance, and extracts behavioral patterns, leading to the discovery of four differentiated patterns in vehicular behavior.
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON UBIQUITOUS COMPUTING & AMBIENT INTELLIGENCE (UCAMI 2022)
(2023)
Proceedings Paper
Computer Science, Information Systems
Francisco M. Garcia-Moreno, Maria Bermudez-Edo, Jose Manuel Perez Marmol, Jose Luis Garrido, Maria Jose Rodriguez-Fortiz
Summary: Older adults often experience physical and mental issues such as anxiety, stress, depression, and mood disorders. Emotions and socialization have a significant impact on health, with negative emotions leading to negative effects on mental and physical well-being. Social isolation is a health risk comparable to smoking or lack of physical activity. This paper proposes a conceptual model centered on Activities of Daily Living (ADLs) to holistically and transparently evaluate the health of older adults.
ADVANCES IN CONCEPTUAL MODELING, CMLS, EMPER AND JUSMOD
(2022)
Proceedings Paper
Computer Science, Information Systems
Yuchen Zhao, Payam Barnaghi, Hamed Haddadi
Summary: In this paper, a multimodal and semi-supervised federated learning framework is proposed, which can extract shared or correlated representations from different local data modalities and train local autoencoders through a multimodal aggregation algorithm. The experimental results demonstrate that introducing data from multiple modalities can improve the classification performance of federated learning, and it is possible to use labelled data from only one modality for supervised learning and apply it to testing data from other modalities.
7TH ACM/IEEE CONFERENCE ON INTERNET-OF-THINGS DESIGN AND IMPLEMENTATION (IOTDI 2022)
(2022)
Article
Computer Science, Software Engineering
Bharath Sudharsan, John G. Breslin, Mehreen Tahir, Muhammad Intizar Ali, Omer Rana, Schahram Dustdar, Rajiv Ranjan
Summary: This article presents a novel over-the-air (OTA) technique to remotely deploy tiny ML models over Internet of Things (IoT) devices and discusses the challenges for OTA ML deployment over IoT. OTA-TinyML is proposed to enable resource-constrained IoT devices to perform end-to-end fetching, storage, and execution of many TinyML models.
IEEE INTERNET COMPUTING
(2022)