Article
Computer Science, Information Systems
Linh-An Phan, Taejoon Kim, Taehong Kim
Summary: This study introduces a new protocol called Neighbor-aware Time Synchronization Protocol (NTSP) to improve the robustness of average-based consensus time synchronization protocols in dynamic and hostile environments by being aware of each neighbor's status and preventing adverse effects from unsynchronized nodes. Simulation results show that NTSP has faster recovery time than gradient time synchronization protocol and Average TimeSynch when new nodes join, while also protecting network synchronization from attacks by malicious nodes.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Chemistry, Analytical
Emiliano Ehecatl Garcia-Unzueta, Paul Erick Mendez-Monroy, Caleb Rascon
Summary: Acoustic energy mapping is used to obtain characteristics of sound sources, and it is important to have synchronized multi-channel recordings. This paper evaluates the impact of popular synchronization methodologies in a Wireless Acoustic Sensor Network (WASN) for capturing reliable data for acoustic energy mapping.
Article
Computer Science, Information Systems
Linh-An Phan, Taehong Kim
Summary: The article proposes a virtual topology-based time synchronization protocol (VTSP) to significantly accelerate convergence speed without modifying the physical structure of the network. VTSP achieves faster convergence than the gradient time synchronization protocol through virtual links creation and optimization techniques.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Chemistry, Analytical
Xiaomeng Ni, Ting Lu, Sijia Ye, Yunsi Zheng, Pengfei Chen, Lingyu Chen
Summary: K-Sync is a pairwise synchronization algorithm for underwater wireless sensor networks based on the Kalman filter, which enables high-precision clock synchronization without the need for assistance from position or speed sensors. It shows obvious advantages in key indicators such as estimated accuracy of clock skew and offset, convergence speed, etc., and is more robust to various underwater motion scenes.
Article
Telecommunications
Linh-An Phan, Taehong Kim
Summary: This letter examines flooding-based time synchronization protocols in wireless sensor networks and finds that rapid-flooding outperforms slow-flooding in synchronization speed but is not always feasible. In contrast, slow-flooding protocols have a limitation in convergence time which increases with the network size. By sharing compensated skew and timing information, this limitation of slow-flooding can be overcome, achieving comparable convergence speed and better synchronization accuracy compared to rapid-flooding protocols.
IEEE COMMUNICATIONS LETTERS
(2022)
Article
Computer Science, Information Systems
Linh-An Phan, Taehong Kim
Summary: This study proposes a hybrid time synchronization protocol (HTSP) that combines the advantages of reference-based and consensus-based approaches. HTSP effectively reduces convergence time and handles node failures in large-scale wireless sensor networks.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Engineering, Biomedical
Giuseppe Coviello, Antonello Florio, Gianfranco Avitabile, Claudio Talarico, Janet M. Wang-Roveda
Summary: In modern medicine, smart wireless connected devices are playing an increasingly important role in monitoring patients' health and aiding doctors' work. However, synchronization in multi-board wireless connected systems has always been a challenging issue. This paper presents a distributed full synchronized system for monitoring patients' health, with time synchronization ensured by the Fractional Low-power Synchronization Algorithm (FLSA).
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS
(2022)
Article
Automation & Control Systems
Heng Wang, Fei Yu, Min Li, Yang Zhong
Summary: This article proposes an energy-efficient synchronization protocol without exchanging timestamps, and presents a mapping rule for ACK response time. In addition, a timestamp-free clock skew tracking algorithm is developed.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Engineering, Electrical & Electronic
Hua Peng, Yongxin Wang, Zhiyong Chen, Zhihan Lv
Summary: This article introduces the basic principles, classification, and main features of RFID technology and wireless sensor networks, and establishes the system architecture of vehicle speed detection based on RFID-based wireless sensor network nodes. By studying the vehicle speed detection method based on the RFID road system in different road scenarios, a dynamic vehicle speed measurement algorithm based on RFID is proposed. The simulation experiment results show that the dynamic speed measurement algorithm proposed in this article can detect the instantaneous speed of the passing vehicle more accurately.
IEEE SENSORS JOURNAL
(2021)
Article
Multidisciplinary Sciences
Rongjin Yang, Xuejie Hao, Long Zhao, Lizeyan Yin, Lu Liu, Xiuhong Li, Qiang Liu
Summary: This paper develops an IPV6-based high-spatial-temporal precision air pollutant monitoring and early warning platform, and verifies the feasibility of the system through data analysis and comparison, providing technical support and decision guidance.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Multidisciplinary
Shamimul Qamar
Summary: This research proposes a novel approach for routing and security improvement in wireless sensor networks using deep learning models. The routing is done using a cluster-based scalable hierarchical energy routing protocol (CSHERP), and the monitoring is carried out using fuzzy Boltzmann adversarial learning (FBAL). The proposed method achieves good results in terms of energy efficiency, throughput, end-to-end delay, latency, and QoS.
Article
Computer Science, Artificial Intelligence
M. N. Shakib, M. Moghavvemi, M. A. Rahman, R. M. Ramli, H. S. Lim, M. R. Ahmed
Summary: A new miniature microstrip fed boomerang-shaped patch antenna is proposed and designed for wireless sensor network applications. The antenna features wide bandwidth, small size, stable radiation patterns, and acceptable gain for integration with sensors in X-band and Ku band applications.
COGNITIVE SYSTEMS RESEARCH
(2021)
Article
Telecommunications
Liudmila I. Khudonogova, Sergey V. Muravyov
Summary: The paper proposes a novel approach for balancing energy consumption and measurement accuracy in wireless sensor networks, by combining accuracy enhancement algorithm and active node selection algorithm. The approach aims at selecting the minimum number of nodes to provide sufficient volume and quality of data to maintain the required accuracy. Both simulation and real data processing show significant improvement in network lifetime and measurement accuracy even with a small number of sensor nodes.
WIRELESS PERSONAL COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Ting Wang, Xinghong Li, Heng Wang, Bo Deng
Summary: Simulation results reveal the instability in the solution of distributed Kalman filter for the state tracking problem of distributed clock. The key to obtaining deterministic state estimation is ensuring system observability. A new observable measurement model is proposed, which establishes a state uncoupled measurement equation with performance equivalent to MMSE while maintaining system observability.
IEEE SYSTEMS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Mahmoud Elgeziry, Filippo Costa, Alessandro Tognetti, Simone Genovesi
Summary: This article presents a novel contactless wearable breath rate measurement system that estimates breathing frequency by utilizing body expansion and contraction during respiration.
IEEE SENSORS JOURNAL
(2022)
Article
Nanoscience & Nanotechnology
S. Sibilia, F. Bertocchi, S. Chiodini, F. Cristiano, L. Ferrigno, G. Giovinco, A. Maffucci
Summary: This paper investigates the temperature dependence of the electrical resistivity of low-cost commercial graphene-based strips, finding a linear trend and negative temperature coefficient in a wide temperature range. The derived analytical model of temperature-dependent resistivity is validated for heating applications using the graphene strips. These materials can potentially be used as thermistors in sensing or heating applications.
Article
Nanoscience & Nanotechnology
Marian Baah, Afifa Rahman, Sarah Sibilia, Gianmarco Trezza, Luigi Ferrigno, Laura Micheli, Antonio Maffucci, Ekaterina Soboleva, Yuri Svirko, Polina Kuzhir
Summary: This paper proposes an original approach for real-time detection of industrial organic pollutants in water based on the time evolution monitoring of the electrical impedance of low-cost graphitic nanomembranes. The approach utilizes the high sensitivity of 2D graphene-related materials to adsorbents. The study examines the sensitivity of nanomembranes based on pyrolyzed photoresist, pyrolytic carbon (PyC), and multilayer graphene films, and demonstrates the correlation between the sensitivity of electric impedance to adsorbents and the structure of the nanomembranes. The results reveal that amorphous PyC, being the most homogeneous and adhesive to the SiO2 substrate, shows the most promising integration capability into industrial pollutants sensors.
Article
Chemistry, Analytical
Mario Molinara, Rocco Cancelliere, Alessio Di Tinno, Luigi Ferrigno, Mikhail Shuba, Polina Kuzhir, Antonio Maffucci, Laura Micheli
Summary: This paper proposes a deep learning technique for accurate detection and reliable classification of organic pollutants in water. The study demonstrates the possibility of improving detection sensitivity with modified electrodes and achieving accurate classification using a convolutional neural network after Gramian transformation.
Article
Chemistry, Analytical
Chiara Carissimo, Gianni Cerro, Luigi Ferrigno, Giacomo Golluccio, Alessandro Marino
Summary: The paper proposes the development, validation, and usage of a software simulator for detecting and analyzing neurodegenerative diseases using low-cost sensors and suitable classification algorithms in telemedicine techniques. The simulator is able to generate data related to movement disorders, providing a reference for early-stage research. The validation results show good correlation and classification performance.
Article
Engineering, Electrical & Electronic
Luca Tari, Mario Molinara, Luigi Ferrigno
Summary: In the context of energy digitization, Load Profiling is a useful tool for decision-making related to electrical load usage and health. This article investigates the impact of monitoring quality and electrical signature quality on Load Profiling performance and provides insights on how to improve reliability. The findings suggest that submetering infrastructure costs can be reduced by using lower metrological characteristics for Load Profiling.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Computer Science, Information Systems
Chiara Carissimo, Gianni Cerro, Tommaso Di Libero, Luigi Ferrigno, Alessandro Marino, Angelo Rodio
Summary: This paper proposes an automatic measurement protocol for assessing coordinative abilities using wearable devices with IMU technology. By analyzing accelerometer data from different tests, the protocol can evaluate reaction time and fatigue levels of athletes. The results show that the protocol can effectively improve reaction time and provide additional valuable motion data.
Article
Engineering, Electrical & Electronic
Andrea Amodei, Domenico Capriglione, Gianni Cerro, Luigi Ferrigno, Gianfranco Miele, Giuseppe Tomasso
Summary: Cyber security is crucial in IoT, and the vulnerability of IoT sensor nodes and gateways due to low-performance processing units makes it difficult to update against new cyber threats. This article proposes a novel measurement method based on inline detection, which can be implemented in IoT sensor nodes or gateways to efficiently detect heartbleed and heartbleed-like attacks.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Alessandro Sardellitti, Filippo Milano, Marco Laracca, Salvatore Ventre, Luigi Ferrigno, Antonello Tamburrino
Summary: Thickness measurements of metallic plates are mandatory in many industrial scenarios. Eddy-current testing (ECT) methods are attractive for online contactless thickness measurements. However, the current ECT technique has limitations in measuring thicker materials. In this article, we analyze the theoretical foundation of the method and propose two solutions to accurately estimate the thickness of materials. Numerical analysis and experiments confirm the effectiveness of the proposed solutions, making the method suitable for industrial and other applications.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Giovanni Betta, Domenico Capriglione, Marco Carratu, Marcantonio Catelani, Lorenzo Ciani, Gabriele Patrizi, Antonio Pietrosanto, Paolo Sommella
Summary: This article investigates the performance of MEMS-based IMUs under temperature influence and proposes a test plan to analyze their performance under temperature stress testing. The experimental results demonstrate the necessity of temperature compensation for optimal performance of orientation estimation algorithms.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Computer Science, Information Systems
Tari Luca, Giuseppe Berrettoni, Carmine Bourelly, Gianni Cerro, Domenico Capriglione, Luigi Ferrigno
Summary: Smart Energy Applications have a significant impact, particularly due to scarce energy resources and high costs. Efficient management of energy consumption is influenced by both user behavior and automatic algorithms. This study addresses the limitations of current datasets by proposing a simulated dataset based on real measurements, which allows for the extraction of over 400 electrical parameters on 36 different home appliances. The dataset is available for public access and analysis.
Article
Engineering, Electrical & Electronic
Alessandro Sardellitti, Giulia Di Capua, Marco Laracca, Antonello Tamburrino, Salvatore Ventre, Luigi Ferrigno
Summary: The paper presents a method for nondestructive evaluation of the thickness of metallic plates using eddy-current testing, which effectively reduces the measurement time, suitable for industrial applications with high accuracy. The proposed strategy combines multisine approach and data interpolation techniques, resulting in more efficient allocation of measurement frequencies, leading to a reduction in the number of required measurements and overall measurement time.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Electrical & Electronic
Gianni Cerro, Luigi Ferrigno, Marco Laracca, Gianfranco Miele, Filippo Milano, Valentina Pingerna
Summary: This study proposes a black-box design tool for localizing objects in indoor environments. The tool can manage different environments in terms of size, available anchors, device features, and performance. It is validated against experimental results to ensure reliable performance predictions. The results demonstrate the effectiveness of the design tool in finding anchor placement solutions with minimal computational burden for accurate localization system design.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Electrical & Electronic
Gianfranco Miele, Stefano Bellucci, Antonino Cataldo, Alessio Di Tinno, Luigi Ferrigno, Antonio Maffucci, Laura Micheli, Sarah Sibilia
Summary: This article proposes a method for smart monitoring the life cycle of graphene filters for water remediation in the presence of pollutants. The study considers the remediation of two toxic industrial pollutants and shows that graphene filters have good filtering capability and high sensitivity to pollutants.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Multidisciplinary
Sicheng Jiao, Shixiang Wang, Minge Gao, Min Xu
Summary: This paper presents a non-contact method of thickness measurement for thin-walled rotary shell parts based on a chromatic confocal sensor. The method involves using a flip method to obtain surface profiles from both sides of the workpiece, measuring the decentration and tilt errors of the workpiece using a centering system, establishing a unified reference coordinate system, reconstructing the external and internal surface profiles, and calculating the thickness. Experimental results show that the method can accurately measure the thickness of a sapphire spherical shell workpiece and is consistent with measurements of other materials.
Article
Engineering, Multidisciplinary
Rajeev Kumar, Sajal Agarwal, Sarika Pal, Alka Verma, Yogendra Kumar Prajapati
Summary: This study evaluated the performance of a CaF2-Ag-MXene-based surface plasmon resonance (SPR) sensor at different wavelengths. The results showed that the sensor achieved the maximum sensitivity at a wavelength of 532 nm, and higher sensitivities were obtained at shorter wavelengths at the expense of detection accuracy.
Article
Engineering, Multidisciplinary
Attilio Di Nisio, Gregorio Andria, Francesco Adamo, Daniel Lotano, Filippo Attivissimo
Summary: Capacitive sensing is a widely used technique for a variety of applications, including avionics. However, current industry standard Capacitive Level Sensors (CLSs) used in helicopters perform poorly in terms of sensitivity and dynamic characteristics. In this study, novel geometries were explored and three prototypes were built and tested. Experimental validation showed that the new design featuring a helicoidal slit along the external electrode of the cylindrical probe improved sensitivity, response time, and linearity.
Article
Engineering, Multidisciplinary
Kai Yang, Huiqin Wang, Ke Wang, Fengchen Chen
Summary: This paper proposes an effective measurement method for dynamic compaction construction based on time series model, which enables real-time monitoring and measurement of anomalies and important construction parameters through simulating motion state transformation and running time estimation.
Article
Engineering, Multidisciplinary
Hui Fu, Qinghua Song, Jixiang Gong, Liping Jiang, Zhanqiang Liu, Qiang Luan, Hongsheng Wang
Summary: An automatic detection and pixel-level quantification model based on joint Mask R-CNN and TransUNet is developed to accurately evaluate microcrack damage on the grinding surfaces of engineering ceramics. The model is effectively trained on actual micrograph image dataset using a joint training strategy. The proposed model achieves reliable automatic detection and fine segmentation of microcracks, and a skeleton-based quantification model is also proposed to provide comprehensive and precise measurements of microcrack size.
Review
Engineering, Multidisciplinary
Sang Yeob Kim, Da Yun Kwon, Arum Jang, Young K. Ju, Jong-Sub Lee, Seungkwan Hong
Summary: This paper reviews the categorization and applications of UAV sensors in forensic engineering, with a focus on geotechnical, structural, and water infrastructure fields. It discusses the advantages and disadvantages of sensors with different wavelengths and addresses the challenges of current UAV technology and recommendations for further research in forensic engineering.
Article
Engineering, Multidisciplinary
Anton Nunez-Seoane, Joaquin Martinez-Sanchez, Erik Rua, Pedro Arias
Summary: This article compares the use of Mobile Laser Scanners (MLS) and Aerial Laser Scanners (ALS) for digitizing the road environment and detecting road slopes. The study found that ALS data and its corresponding algorithm achieved better detection and delimitation results compared to MLS. Measuring the road from a terrestrial perspective negatively impacted the detection process, while an aerial perspective allowed for scanning of the entire slope structure.
Article
Engineering, Multidisciplinary
Nur Luqman Saleh, Aduwati Sali, Raja Syamsul Azmir Raja Abdullah, Sharifah M. Syed Ahmad, Jiun Terng Liew, Fazirulhisyam Hashim, Fairuz Abdullah, Nur Emileen Abdul Rashid
Summary: This study introduces an enhanced signal processing scheme for detecting mouth-click signals used by blind individuals. By utilizing additional band-pass filtering and other steps, the detection accuracy is improved. Experimental results using artificial signal data showed a 100% success rate in detecting obstacles. The emerging concepts in this research are expected to benefit radar and sonar system applications.
Article
Engineering, Multidisciplinary
Jiqiang Tang, Shengjie Qiu, Lu Zhang, Jinji Sun, Xinxiu Zhou
Summary: This paper studies the magnetic noise level of a compact high-performance magnetically shielded room (MSR) under different operational conditions and establishes a quantitative model for magnetic noise calculation. Verification experiments show the effectiveness of the proposed method.
Review
Engineering, Multidisciplinary
Krzysztof Bartnik, Marcin Koba, Mateusz Smietana
Summary: The demand for miniaturized sensors in the biomedical industry is increasing, and optical fiber sensors (OFSs) are gaining popularity due to their small size, flexibility, and biocompatibility. This study reviews various OFS designs tested in vivo and identifies future perspectives and challenges for OFS technology development from a user perspective.
Article
Engineering, Multidisciplinary
Yue Wang, Lei Zhou, Zihao Li, Jun Wang, Xuangou Wu, Xiangjun Wang, Lei Hu
Summary: This paper presents a 3-D reconstruction method for dynamic stereo vision of metal surface based on line structured light, overcoming the limitation of the measurement range of static stereo vision. The proposed method uses joint calibration and global optimization to accurately reconstruct the 3-D coordinates of the line structured light fringe, improving the reconstruction accuracy.
Article
Engineering, Multidisciplinary
Jaafar Alsalaet
Summary: Order tracking analysis is an effective tool for machinery fault diagnosis and operational modal analysis. This study presents a new formulation for the data equation of the second-generation Vold-Kalman filter, using separated cosine and sine kernels to minimize error and provide smoother envelopes. The proposed method achieves high accuracy even with small weighting factors.
Article
Engineering, Multidisciplinary
Tonglei Cao, Kechen Song, Likun Xu, Hu Feng, Yunhui Yan, Jingbo Guo
Summary: This study constructs a high-resolution dataset for surface defects in ceramic tiles and addresses the scale and quantity differences in defect distribution. An improved approach is proposed by introducing a content-aware feature recombination method and a dynamic attention mechanism. Experimental results demonstrate the superior accuracy and efficiency of the proposed method.
Article
Engineering, Multidisciplinary
Qinghong Fu, Yunxi Lou, Jianghui Deng, Xin Qiu, Xianhua Chen
Summary: Measurement and quantitative characterization of aging-induced gradient properties is crucial for accurate analysis and design of asphalt pavement. This research proposes the composite specimen method to obtain asphalt binders at different depths within the mixture and uses dynamic shear rheometer tests to measure aging-induced gradient properties and reveal internal mechanisms. G* master curves are constructed to investigate gradient aging effects in a wide range. The study finds that the composite specimen method can effectively restore the boundary conditions and that it is feasible to study gradient aging characteristics within the asphalt mixture. The study also observes variations in G* and delta values and the depth range of gradient aging effects for different aging levels.
Article
Engineering, Multidisciplinary
Min Li, Kai Wei, Tianhe Xu, Yali Shi, Dixing Wang
Summary: Due to the limitations of ground monitoring stations in China for the BDS, the accuracy of BDS Medium Earth Orbit (MEO) satellite orbits can be influenced. To overcome this, low Earth orbit (LEO) satellites can be used as additional monitoring stations. In this study, data from two LEO satellites were collected to improve the precise orbit determination of the BDS. By comparing the results with GPS and BDS-2/3 solutions, it was found that including the LEO satellites significantly improved the accuracy of GPS and BDS-2/3 orbits.