Article
Computer Science, Information Systems
Yashwanth Bezawada, Shirshak K. Dhali
Summary: A novel capacitive wireless power transfer system using 8-plate multi-resonant coupling was proposed to minimize the effects of misalignment and improve efficiency. Hardware results showed that this system achieved 88.5% efficiency in a 20.8W test, which was 18.3% higher than a regular 4-plate coupling, and reduced the output voltage drop by 15% for a 10% misalignment.
Article
Computer Science, Information Systems
Shichen Zhang, Pedram Kheirkhah Sangdeh, Hossein Pirayesh, Huacheng Zeng, Qiben Yan, Kai Zeng
Summary: This article introduces a learning-based authentication scheme for wireless IoT devices without input interfaces, which can recognize passwords when users hold the device and write the password over the air, and works in scenarios with nonlinear antenna arrays. Test results show a high recognition accuracy.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Multidisciplinary Sciences
Yasir Ali, Habib Ullah Khan
Summary: The supply chain management of COVID-19 vaccine is a complex task, and IoT technology is a suitable solution. This study proposes a decision making model to select the right IoT platform for the logistics and transportation process of COVID-19 vaccine. The model is validated and tested through surveys and shows high accuracy and reliability.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Information Systems
Juan Pablo Garcia-Martin, Antonio Torralba, Eduardo Hidalgo-Fort, David Daza, Ramon Gonzalez-Carvajal
Summary: Wireless systems enable efficient IoT solutions in various applications, and battery powered devices provide long system lifetime. This work develops a combined wireless network for smart metering in water distribution systems, utilizing the energy consumption reduction mechanisms of IEEE 802.15.4g and NB-IoT standards. Experimental and simulation results show a battery life estimate of over a decade for nodes with high power requirements.
INTERNET OF THINGS
(2023)
Article
Computer Science, Information Systems
Abdulsalam S. Albulayhi, Ibrahim S. Alsukayti
Summary: The exponential growth of the Internet of Things (IoT) has led to complex and hard to manage data communications. The centralized model is ineffective and insecure. Blockchain technology provides a potential solution for secure and effective management of IoT data communication. A lightweight blockchain-centric IoT architecture is proposed using a smart contract-based publish/subscribe model to address effective IoT data communication management.
Article
Computer Science, Information Systems
Yanxing Song, F. Richard Yu, Li Zhou, Xi Yang, Zefang He
Summary: Logistics is a key driver of competitiveness for countries and firms, and the development of smart logistics through IoT technologies offers opportunities to solve current industry challenges of high costs and low efficiency. By leveraging mathematical analysis technologies, IoT can explore complex relationships between transactions, facilitating the advancement of smart logistics within the ICT realm.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Construction & Building Technology
Jose Joaquin Peralta Abadia, Christian Walther, Ammar Osman, Kay Smarsly
Summary: Recent developments in smart sensing technologies have led to the widespread use of smart city applications that rely on IoT frameworks. However, the definitions of smart city and IoT framework vary. This study aims to consolidate these definitions and provide a systematic survey of IoT frameworks for smart city applications, ultimately proposing an abstract IoT framework concept.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Computer Science, Information Systems
Jiani Fan, Wenzhuo Yang, Ziyao Liu, Jiawen Kang, Dusit Niyato, Kwok-Yan Lam, Hongyang Du
Summary: A smart city is a concept that aims to better serve residents through new technology. This article focuses on four major smart city domains: smart utility, smart transportation, smart homes, and smart healthcare. However, the existing smart city IoT solutions often lack appropriate security strategies. The objective of this article is to provide application designers with the missing security link they may need in order to improve their security designs.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Chris D. Rouse, Samuel R. Cove, Younes Salami, Paul Arsenault, Andrew Bartlett
Summary: This article presents a three-phase resonant capacitive power transfer system for rotating applications requiring loose coupling, with balanced multiphase electrode designs proposed to address imbalances found in existing rotational CPT designs. Simulations show that three or more phases are required to avoid coupling nulls. Three-phase is considered the most practical solution in terms of cost, complexity, and inductor size, while four or more phases may be preferred for applications requiring very stable coupling.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Hao-Chung Cheng, Po-Han Chen, Yu-Tong Su, Po-Hung Chen
Summary: This article introduces a reconfigurable capacitive power converter for indoor light-powered batteryless IoT devices, which efficiently redistributes capacitance, stores and reuses harvested energy, and achieves high peak-power conversion efficiency.
IEEE JOURNAL OF SOLID-STATE CIRCUITS
(2021)
Article
Multidisciplinary Sciences
Hiep Xuan Huynh, Linh Nhut Tran, Nghia Duong-Trung
Summary: This paper presents a smart greenhouse IoT solution for the cultivation of Brassica Juncea, a mustard variety commonly grown in Vietnam. The research team successfully designed, constructed, and tested a 30m2 smart greenhouse, integrated diverse IoT technologies, and developed a web interface and mobile application for convenient monitoring and control.
Article
Computer Science, Information Systems
Ibrahim S. Alsukayti
Summary: This research paper proposes an innovative approach called Dynamic-RPL to address the challenge of achieving high performance in adverse network conditions. By making limited protocol modifications to RPL, Dynamic-RPL provides effective support for dynamic topology management and maintains high overall network performance.
Article
Computer Science, Hardware & Architecture
Saku Lindroos, Antti Hakkala, Seppo Virtanen
Summary: This paper presents a systematic methodology for continuous surveying and analysis of 802.11 WLAN using wardriving technique. The results show that WLAN security in Finland is relatively good, but some networks still use insecure encryption protocols.
Article
Computer Science, Information Systems
Raffaele Guida, Emrecan Demirors, Neil Dave, Tommaso Melodia
Summary: This article presents the design of a batteryless underwater sensor node that can be wirelessly recharged through ultrasonic waves from longer distances. Experimental results show that the system is able to extract sufficient energy from ultrasonic waves in water to power the sensor node and communication unit.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Computer Science, Information Systems
Fatemeh Rezaeibagha, Yi Mu, Ke Huang, Lanxiang Chen
Summary: The proliferation of Internet of Things (IoT) in healthcare has raised concerns about data security and privacy while attempts to provide secure and efficient IoT schemes still lack in achieving secure data analysis. Dynamic data about patient medical status is valuable for healthcare providers, but continually updating data over time poses challenges. The study focuses on developing an efficient and secure scheme for data collection and analysis using IoT wireless body sensors.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
R. Monika, Samiappan Dhanalakshmi, R. Kumar, R. Narayanamoorthi
Summary: Underwater Wireless Sensor Networks (UWSNs) are used for data collection and processing of underwater targets and resources. To save energy and improve the sensor's lifetime, a new image compression method called Coefficient Permuted Adaptive Block Compressed Sensing (CP-ABCS) is proposed. This method reduces data volume by permuting coefficients and adopting adaptive block compressed sensing, achieving better image reconstruction with fewer samples.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Samiappan Dhanalakshmi, Praveen Nandini, Sampita Rakshit, Paras Rawat, Rajamanickam Narayanamoorthi, Ramamoorthy Kumar, Ramalingam Senthil
Summary: In this research, the temperature of solar panels is monitored using FBG sensors, and the peak search algorithm is improved using machine learning techniques. The results show that using decision tree regressor for peak detection can achieve high accuracy.
OPTICAL FIBER TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
R. Monika, Samiappan Dhanalakshmi, R. Kumar, R. Narayanamoorthi, Khin Wee Lai
Summary: In recent years, Internet of Underwater Things (IoUT) has received significant attention for applications such as underwater environment monitoring and exploration, defense, disaster monitoring, etc. This research paper proposes two-modified fast Haar wavelet transform (MFHWT) coefficient thresholding based Adaptive Block Compressive Sensing (ABCS) strategies for compressing underwater surveillance images in IoUT. The proposed strategies achieve a rise in PSNR of about 3-5dB with respect to conventional techniques, while also saving around 70% memory space.
Article
Engineering, Electrical & Electronic
S. Hannah Pauline, Samiappan Dhanalakshmi, R. Kumar, R. Narayanamoorthi, Khin Wee Lai
Summary: This paper proposes an Adaptive Noise Canceller-based model for denoising speech signals recorded from Parkinson's Disease-affected patients. The model uses a signed LMS algorithm to compute the best estimate of a clean signal, and consists of multiple adaptive filters connected in series to reduce noise. The simulation results show that the proposed filter model outperforms existing cascaded LMS filter models in terms of signal-to-noise ratio improvement.
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
(2023)
Review
Computer Science, Information Systems
J. Rahulkumar, R. Narayanamoorthi, Pradeep Vishnuram, Mohit Bajaj, Vojtech Blazek, Lukas Prokop, Stanislav Misak
Summary: EVs are emerging as a new automotive technology in transportation to reduce CO2 emissions from internal combustion engines. The main issues in EV technology development are battery capacity, size, fast charging, and safe charging infrastructure. Dynamic wireless charging technology provides a suitable alternative to address the charging system-related issues. However, there is limited research specifically focusing on the design challenges of wireless charging pads. This review analyzes the current development and challenges in wireless charging pad design, investigating potential parameters to improve the performance of the system.
Review
Energy & Fuels
Pradeep Vishnuram, R. Narayanamoorthi, K. Vijayakumar, Mohit Bajaj, Mokhtar Shouran, Bdereddin Abdul Samad, Salah Kamel
Summary: LED lighting applications with electronic power control have gained popularity. This paper reviews and compares various LED and converter topologies, focusing on power density, size, and reliability. Different modulation techniques for dimming control are also discussed.
FRONTIERS IN ENERGY RESEARCH
(2022)
Review
Energy & Fuels
Pradeep Vishnuram, P. Suresh, R. Narayanamoorthi, K. Vijayakumar, Benedetto Nastasi
Summary: Wireless Power Transfer (WPT) refers to the delivery of electricity using an electromagnetic field across an intervening region. This article reviews the technical aspects and environmental impact of WPT technology for electric vehicle applications. It aims to describe the current state of the technology, provide evidence of its implementation in EV systems, and assess the system's performance and potential improvements. The article also analyzes the advancements in compensating topologies, power electronics converters, and control techniques, as well as evaluates the sustainability factors and policy drivers, and investigates health and safety concerns.
Review
Energy & Fuels
Suresh Panchanathan, Pradeep Vishnuram, Narayanamoorthi Rajamanickam, Mohit Bajaj, Vojtech Blazek, Lukas Prokop, Stanislav Misak
Summary: There has been a growing interest in the transition from gasoline-powered cars to electric vehicles in the past decade. The electric vehicle-grid (V2G) technology allows the battery of an electric vehicle to function as an energy source that can store or release energy as needed, enabling energy exchange between the grid and EV batteries. This article reviews different bidirectional converter topologies used in the V2G system and discusses their benefits, including cost reduction for electric utilities and increased profits for EV owners.
Review
Green & Sustainable Science & Technology
Shubham Gupta, Amit Kumar Singh, Sachin Mishra, Pradeep Vishnuram, Nagaraju Dharavat, Narayanamoorthi Rajamanickam, Ch. Naga Sai Kalyan, Kareem M. AboRas, Naveen Kumar Sharma, Mohit Bajaj
Summary: The United Nations has set a bold goal of achieving net zero carbon emissions by 2050. To address the global energy crisis and reduce greenhouse gas emissions, shifting towards green and renewable energy sources is necessary. Solar energy, although abundant, poses challenges in efficient utilization. This paper analyzes existing techniques used in models to estimate and predict solar radiation, providing insights to maximize its potential in different locations.
Review
Energy & Fuels
Pradeep Vishnuram, R. Narayanamoorthi, P. Suresh, V. Vijayakumar, Mohit Bajaj, Tahir Khurshaid, Ali Nauman, Salah Kamel
Summary: The energy transition aims to create a more integrated, carbon-neutral society and the transportation sector plays a significant role in global greenhouse gas emissions. Overcoming technological hurdles is crucial in promoting the adoption of electric vehicles (EVs) powered by renewable energy, which are practical in combating climate change and achieving the energy revolution. Recent developments indicate that EVs will soon replace internal combustion engines (ICEs). This paper examines the current state and potential future developments of the global EV market, emphasizing the impact of power electronics converters (PEC) and energy storage devices on vehicle efficiency, as well as discussing research topics still open to industry and university researchers.
FRONTIERS IN ENERGY RESEARCH
(2023)
Review
Computer Science, Information Systems
Yuvaraja Shanmugam, R. Narayanamoorthi, Pradeep Vishnuram, Mohit Bajaj, Kareem M. AboRas, Padmanabh Thakur, Kitmo
Summary: Green electricity and green transportation are crucial for smart cities. This paper discusses the challenges in EV technology and the advantages of wireless charging. It provides a systematic approach to the design of dynamic wireless charging systems, addressing various parameters and functional units. It also presents case studies for practical insights.
Proceedings Paper
Engineering, Marine
Ajisha Mathias, R. Narayanamoorthi, Samiappan Dhanalakshmi
Summary: Recognizing underwater objects poses unique challenges due to diffraction and scattering of light, resulting in blurry images and occlusion. This study proposes an enhanced deep learning approach for detecting and tracking occluded underwater objects.
Proceedings Paper
Engineering, Marine
R. Monika, R. Senthil, R. Narayanamoorthi, Samiappan Dhanalakshmi
Summary: This paper introduces the device issues and data compression techniques in the underwater marine environment. By combining adaptive block compressed sensing with the perceptual variance weight matrix, high-quality image reconstruction and better data compression performance are achieved.
Proceedings Paper
Engineering, Marine
S. Hannah Pauline, R. Narayanamoorthi, Samiappan Dhanalakshmi
Summary: Underwater communication is challenging due to ocean noise. This paper proposes a cascaded adaptive filter structure using the SDLMS algorithm for denoising signals. Simulation experiments on underwater fin whale sound corrupted by vessel noise demonstrate the remarkable performance and cost-effectiveness of the proposed filter model.
Article
Computer Science, Information Systems
Ajisha Mathias, Samiappan Dhanalakshmi, R. Kumar, R. Narayanamoorthi
Summary: Object recognition and computer vision techniques are used for automated fish abundance estimation in marine environments. The combination of visual features, Gaussian mixture models, and YOLOv3 deep network improves the efficiency of underwater object detection.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)