Article
Green & Sustainable Science & Technology
Ali Raza Kalair, Naeem Abas, Mehdi Seyedmahmoudian, Shoaib Rauf, Alex Stojcevski, Nasrullah Khan
Summary: Power grids are undergoing deregulation, privatization, and decentralization globally, leading to the rise of smart grids for integrating clean energy technologies. Solar and wind power generation capacity is increasing, but facing the challenge of the duck curve. Integrating smart load shedding devices in micro and nano grids offers a potential solution to the duck curve setback.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Electrical & Electronic
Xiongfei Zhai, Guojun Han, Yunlong Cai, Lajos Hanzo
Summary: This paper investigates a double-RIS-assisted AirComp system to improve computation accuracy. A pair of algorithms are proposed to optimize system parameters, and the complexity and convergence of the algorithms are analyzed. Simulation results are provided to evaluate the performance of the system.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
M. Usman Saleem, M. Rehan Usman, M. Arslan Usman, Christos Politis
Summary: The Smart Grid (SG) utilizes digital technologies and advanced communication methods to revolutionize power distribution, transmission, and generation. By incorporating demand side management (DSM) and Internet-of-Things (IoT) technologies, SG aims to achieve energy savings and improve energy efficiency.
Article
Energy & Fuels
M. Usman Saleem, Mustafa Shakir, M. Rehan Usman, M. Hamza Tahir Bajwa, Noman Shabbir, Payam Shams Ghafaroki, Kamran Daniel
Summary: With the increasing price and demand for energy, organizations have developed intelligent strategies for energy tracking, control, and conservation. Demand side management is critical for avoiding supply disruptions and improving energy efficiency. A smart energy management system is an important part of demand side management, as it helps in reducing expenditures, recording customers' energy consumption patterns, and responding to energy-saving algorithms and directives.
Article
Thermodynamics
Geremi Gilson Dranka, Paula Ferreira, A. Ismael F. Vaz
Summary: The study highlights the high potential of Demand-Response (DR) in power systems planning, which helps delay future investment in power capacity and reduce CO2 emissions. However, the limited potential of DR to integrate additional renewable plants and uncertainties related to future weather conditions need to be emphasized.
Article
Computer Science, Information Systems
Mahshid Mehr Nezhad, Mohammad Hossein Yaghmaee Moghaddam, Mohsen Asadi
Summary: This study proposes a demand-side management mechanism for energy management in smart homes based on user behavior monitoring, which can effectively reduce power consumption and costs for users while improving power grid performance.
IEEE SYSTEMS JOURNAL
(2021)
Article
Chemistry, Analytical
Kun Xia, Hongliang Fan, Jianguang Huang, Hanyu Wang, Junxue Ren, Qin Jian, Dafang Wei
Summary: This paper presents an intelligent self-service vending system that can detect multiple unlabeled products in real-time and achieve weighing, identification, and online settlement. The system features a flexible configuration, deep learning technology, and real-time multi-object detection, with an accuracy of 93.73%.
Article
Energy & Fuels
Shahwaiz Ahmed Hashmi, Chaudhry Fahad Ali, Saima Zafar
Summary: A smart grid is an electricity network that employs digital communication technologies to monitor and manage electricity usage. To save energy, future smart grids will utilize demand side management mechanisms. By integrating IoT and cloud computing technologies, they can more effectively monitor and manage consumer electricity demands.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(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
Chemistry, Multidisciplinary
Ashay Rokade, Manwinder Singh, Praveen Kumar Malik, Rajesh Singh, Turki Alsuwian
Summary: This paper proposes a precise greenhouse monitoring and management system using the Internet of Things (IoT) and machine learning methods. It demonstrates remote control of sensing parameters in a smart greenhouse, resulting in improved agricultural growth management.
APPLIED SCIENCES-BASEL
(2022)
Article
Energy & Fuels
Hiranmay Samanta, Abhijit Das, Indrajt Bose, Joydip Jana, Ankur Bhattacharjee, Konika Das Bhattacharya, Samarjit Sengupta, Hiranmay Saha
Summary: This paper presents a smart energy management scheme for a solar photovoltaic-biomass integrated grid-interactive microgrid cluster system, using bidirectional communication technology for real-time coordination among renewable energy sources and loads. The scheme includes optimized scheduling of energy sources and loads for different microgrids to ensure power supply stability and zero loss probability. The developed solution is applicable to meet scalable community energy demands.
Article
Computer Science, Artificial Intelligence
Ashutosh Bhoi, Rajendra Prasad Nayak, Sourav Kumar Bhoi, Srinivas Sethi, Sanjaya Kumar Panda, Kshira Sagar Sahoo, Anand Nayyar
Summary: This study proposes an IoT-enabled ML-trained recommendation system for efficient water usage with minimal farmer intervention. By deploying IoT devices in crop fields to collect data and analyzing it using ML approaches, the system shows promising results in improving water resource utilization.
PEERJ COMPUTER SCIENCE
(2021)
Article
Construction & Building Technology
El Arbi Abdellaoui Alaoui, Stephane Cedric Koumetio Tekouabou
Summary: Global ecological requirements are driving city actors to opt for more sustainable bike-sharing systems, which generate valuable data on various aspects of urban life. The authors propose an intelligent management approach for shared bicycle systems, integrating IoT and machine learning technologies, and demonstrate the effectiveness of the proposed model with simulation results on real data from London's bike-sharing system.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Computer Science, Information Systems
Tao Han, Khan Muhammad, Tanveer Hussain, Jaime Lloret, Sung Wook Baik
Summary: The article emphasizes on an intelligent energy management framework based on deep learning, focusing on efficient communication between edge devices and smart grids for short-term energy consumption prediction. By applying various data preprocessing techniques and decision-making algorithms, the mean-square error and root mean-square error of residential and commercial datasets were significantly reduced.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Munish Bhatia, Tariq Ahamed Ahanger, Abdullah Alqahtani
Summary: The IoT technology has brought revolutionary impact to the power grid industry, improving service-oriented features with smart electricity distribution and dependable electric appliances. This study presents a methodology for IoT-based electricity distribution in intelligent homes, aiming to efficiently detect power consumption. The focus is on the effective spatial-temporal distribution of electricity resources in power grid houses, achieved by calculating the spatial-temporal consumption index based on electricity usage. An automated game-theoretic decision-making model is proposed to optimize the distribution, and validation through a simulated environment demonstrates its superiority compared to other methodologies in terms of statistical parameters.
IEEE INTERNET OF THINGS JOURNAL
(2023)
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.