Article
Multidisciplinary Sciences
Pankaj Pal, Rashmi Priya Sharma, Sachin Tripathi, Chiranjeev Kumar, Dharavath Ramesh
Summary: This research investigates the impact of vegetation height and density on a wireless sensor network for monitoring wheat crops, focusing on signal strength and connectivity issues in different growth stages. By developing a path loss model and utilizing evolutionary computation, the study successfully enhances signal strength and coverage while addressing network connectivity challenges during wheat crop monitoring.
SCIENTIFIC REPORTS
(2021)
Article
Chemistry, Analytical
Julio Antonio Jornet-Monteverde, Juan Jose Galiana-Merino, Juan Luis Soler-Llorens
Summary: The wireless seismic sensor network system presented in the article is specifically designed for building monitoring, enabling remote control and real-time signal monitoring. It is a low-cost system with high quality that allows for easy deployment in official or residential buildings.
Article
Computer Science, Information Systems
Pinghui Zou, Gaoqing Ji
Summary: This article proposes the node design and implementation of a wireless sensor network-based environmental monitoring system to effectively solve the problems of high sensor cost, difficult deployment, and high maintenance cost in traditional environmental monitoring systems. The simulation experiments show that the running time is reduced and the algorithm's efficiency is significantly improved by adding the action force of the grid point on the node. The improved virtual force algorithm optimization also enhances node coverage by 5.2%. The system is easy to deploy, reduces costs, and allows for data acquisition and monitoring through wireless communication.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2022)
Article
Automation & Control Systems
Shang Gao, Guiyun Tian, Xuewu Dai, Qing Zhang, Zhiling Wang, Xinge Yang, Qiaomu Wang, Naishu Jia
Summary: This article introduces a lightweight FPGA-based wireless overpressure node for shock wave monitoring. Experimental tests validate its performance in dynamic parameters and network quality, showing lower error rates compared to wired systems.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2021)
Article
Engineering, Electrical & Electronic
Yi Huang, Chunhua Zhao, Baoping Tang, Hao Fu
Summary: This paper proposes a beacon synchronization-based multi-channel with dynamic time slot assignment method for wireless sensor networks (WSNs) in mechanical vibration monitoring. The method separates the network into two opposing groups based on working state and allocates channels based on interference minimization. It also introduces a dynamic timeslot assignment method to reduce channel collision. Experimental results show that the proposed methods effectively schedule the network for data transmission via multi-channel, outperforming CSMA/CA and TDMA.
IEEE SENSORS JOURNAL
(2022)
Article
Chemistry, Analytical
Ghufran Aldawood, Hamzeh Bardaweel
Summary: Failure in dynamic structures requires fault detection systems. Interconnected sensor nodes in wireless sensor networks can transmit information about their surroundings. We propose a fully integrated vibration-powered sensor system with a custom-developed fault detection app. The system uses vibrations to power an RF transmitter and can detect vibrations with an accuracy of 1%.
Article
Engineering, Multidisciplinary
S. Anitha, P. Jayanthi, V Chandrasekaran
Summary: With the growth of elderly population, healthcare systems are challenged by financial expenses. Introduced security methods effectively detect replication attack and protect the system. Among the three algorithms, SACOP has higher detection probability at the expense of increased overheads.
Review
Computer Science, Information Systems
Visalakshi Annepu, Deepika Rani Sona, Chinthaginjala V. Ravikumar, Kalapraveen Bagadi, Mohammad Alibakhshikenari, Ayman A. Althuwayb, Bader Alali, Bal S. Virdee, Giovanni Pau, Iyad Dayoub, Chan Hwang See, Francisco Falcone
Summary: This paper provides a comparative review of various soft computing based localization techniques using both FTAN and aerial ANs for better acceptability.
Article
Computer Science, Information Systems
Jingxiang Liu, Jian Peng, Wenzheng Xu, Weifa Liang, Tang Liu, Xi Peng, Zichuan Xu, Zheng Li, Xiaohua Jia
Summary: This paper studies the employment of a mobile charger to charge lifetime-critical sensors under the multi-node partial-charging model. The goal is to not only minimize the number of dead sensors but also reduce the dead durations of sensors. A novel approximation algorithm is proposed and experimental results show its effectiveness in reducing both the average and maximum sensor dead durations.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Engineering, Electrical & Electronic
Yi Huang, Chunhua Zhao, Baoping Tang, Yaowen Yang, Hao Fu
Summary: This article introduces an efficient low redundant data method for reliable transmission in wireless sensor network nodes. By using delta-discrete cosine transform and sparse random reconstruction, data can be efficiently compressed and reliably transmitted.
IEEE SENSORS JOURNAL
(2022)
Article
Computer Science, Information Systems
Muhammad Ateeq, Muhammad Khalil Afzal, Sheraz Anjum, Byung-Seo Kim
Summary: This article focuses on predicting the quality of service in wireless sensor networks and the internet of things. Experiments and statistical analysis were conducted to identify the relationship between communication parameters and service quality metrics. Deep learning models were trained based on these correlations to assess the predictability of the metrics.
COMPUTER COMMUNICATIONS
(2022)
Article
Geochemistry & Geophysics
Sangseok Yun, Jae-Mo Kang, Jeongseok Ha, Sangho Lee, Dong-Woo Ryu, Jihoe Kwon, Il-Min Kim
Summary: This study utilizes artificial intelligence techniques to address practical issues in ground vibration monitoring systems, introducing a novel data collection scheme and classification method. Experimental results demonstrate superior performance of the proposed scheme in accuracy, along with enhanced system performance through an energy management strategy.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Waltenegus Dargie
Summary: This paper proposes a model for measuring the significance of nodes in multi-hop wireless networks, modifying and extending the Katz Status Index originally used in social networks to address the unique features of wireless sensor networks.
IEEE SENSORS JOURNAL
(2021)
Article
Chemistry, Analytical
Dominik Widhalm, Karl M. Goeschka, Wolfgang Kastner
Summary: This study introduces a novel sensor node platform with low-power components and self-diagnostic measures, aiming to enhance the reliability and data quality of wireless sensor networks. It shows significant improvements in detecting node faults and distinguishing between proper events and fault-induced data distortion, with negligible impact on energy efficiency and hardware costs.
Article
Computer Science, Information Systems
Anastassia Gharib, Mohamed Ibnkahla
Summary: This article proposes a node embedding with security resource allocation (NESRA) clustering algorithm for mobile ICWSNs, allocating security resources to sensor nodes in three steps to achieve efficient ICWSN operation, data security, and timely data access to mobile users.
IEEE INTERNET OF THINGS JOURNAL
(2022)
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.