Article
Engineering, Electrical & Electronic
Dingzhu Xue, Wei Huang
Summary: With the increasing world population and demand for food, smart agriculture has become essential for ensuring global food supply and promoting agricultural development. This research focuses on studying smart agricultural wireless sensor routing protocols and node positioning algorithms based on the Internet of Things technology to improve agricultural productivity and sustainability in food supply. The study analyzes wireless sensor routing protocols, improves the Low Energy Adaptive Clustering Hierarchy protocol, and proposes an enhanced DV-HOP algorithm for more accurate positioning. Experimental results show a 30% reduction in positioning error compared to the original algorithm.
IEEE SENSORS JOURNAL
(2021)
Review
Chemistry, Multidisciplinary
Heyu Yin, Yunteng Cao, Benedetto Marelli, Xiangqun Zeng, Andrew J. Mason, Changyong Cao
Summary: Soil sensors and plant wearables are crucial in smart agriculture, monitoring soil signals to optimize crop growth and yields. This review covers important soil sensors, their technologies, designs, and performance, as well as discusses emerging technologies and challenges in precision agriculture.
ADVANCED MATERIALS
(2021)
Review
Engineering, Electrical & Electronic
Subhas Chandra Mukhopadhyay, Sumarga Kumar Sah Tyagi, Nagender Kumar Suryadevara, Vincenzo Piuri, Fabio Scotti, Sherali Zeadally
Summary: Sensors are crucial for IoT systems, with recent advancements being supported by AI-based sensors that are intelligent, reliable, and privacy-aware. These sensors have the potential to detect new patterns, promote product innovation, improve operations, and open up new business models in smart IoT applications.
IEEE SENSORS JOURNAL
(2021)
Article
Computer Science, Hardware & Architecture
Murtaza Cicioglu, Ali Calhan
Summary: This system utilizes IoT technology to achieve productive corn harvest in large-scale fields through sensor nodes and drones, providing a new approach for smart agriculture with flexible monitoring facilitated by special purpose sensors and relay nodes.
COMPUTERS & ELECTRICAL ENGINEERING
(2021)
Review
Computer Science, Information Systems
Achilles D. Boursianis, Maria S. Papadopoulou, Panagiotis Diamantoulakis, Aglaia Liopa-Tsakalidi, Pantelis Barouchas, George Salahas, George Karagiannidis, Shaohua Wan, Sotirios K. Goudos
Summary: This paper investigates the applications of IoT and UAV technology in agriculture. The main principles of IoT technology, including intelligent sensors, IoT sensor types, networks, and protocols used in agriculture, as well as IoT applications and solutions in smart farming are described. The role of UAV technology in smart agriculture is also presented, analyzing its applications in various scenarios such as irrigation, fertilization, use of pesticides, weed management, plant growth monitoring, crop disease management, and field-level phenotyping. IoT and UAV technology are identified as two important technologies that transform traditional cultivation practices into a new perspective of intelligence in precision agriculture.
INTERNET OF THINGS
(2022)
Article
Computer Science, Information Systems
Amit Kumar Sikder, Giuseppe Petracca, Hidayet Aksu, Trent Jaeger, A. Selcuk Uluagac
Summary: The increasing popularity of smart devices has raised concerns over security threats, particularly attacks that abuse sensors on these devices. Due to the lack of proper security mechanisms, smart devices are vulnerable to sensor-based attacks which can compromise device security and privacy.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2021)
Article
Computer Science, Information Systems
Marieh Talebkhah, Aduwati Sali, Mohsen Marjani, Meisam Gordan, Shaiful Jahari Hashim, Fakhrul Zaman Rokhani
Summary: The concept of smart cities has faced obstacles in global implementation, but the synergy of IoT and big data technologies may offer opportunities for development. Research explores the essence of smart cities, covering their properties, specifications, architecture, compositions, and real-world applications, addressing possible challenges and opportunities.
Review
Agriculture, Multidisciplinary
Wen Tao, Liang Zhao, Guangwen Wang, Ruobing Liang
Summary: The study critically reviewed 94 research articles on IoT communication technologies in smart agriculture, analyzing the comprehensive application of sensors and communication technologies, as well as specific issues, challenges, and recommendations in IoT applications in agriculture. The study provides a reference for researchers and suggests the application of more emerging communication technologies in agriculture to achieve significant development in smart agriculture.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Mathematics
Mehdi Hosseinzadeh, Jawad Tanveer, Amir Masoud Rahmani, Efat Yousefpoor, Mohammad Sadegh Yousefpoor, Faheem Khan, Amir Haider
Summary: The Internet of Things (IoT) is a global network that monitors and controls the physical world by collecting and analyzing data from IoT devices. One of its important applications is smart agriculture, which requires new production schemes. This paper proposes a secure routing approach called CTSRD for IoT, which includes a trust mechanism called W-Trust and a clustering process called T-Clustering. The proposed scheme aims to balance energy consumption and boost network lifetime. Experimental results show that CTSRD outperforms existing schemes in terms of energy consumption and network lifetime, although it has a slightly lower packet delivery rate.
Review
Green & Sustainable Science & Technology
Alireza Abdollahi, Karim Rejeb, Abderahman Rejeb, Mohamed M. Mostafa, Suhaiza Zailani
Summary: This study examines the discussion of wireless sensor network (WSN) applications in agriculture in current academic literature, revealing a significant growth in WSN research in recent years. It identifies WSN as a key enabler for precision agriculture and highlights the focus on other technologies supporting various agricultural activities.
Article
Computer Science, Information Systems
Xiaofan Jiang, Heng Zhang, Edgardo Alberto Barsallo Yi, Nithin Raghunathan, Charilaos Mousoulis, Somali Chaterji, Dimitrios Peroulis, Ali Shakouri, Saurabh Bagchi
Summary: The study proposes a hybrid, low-power, wide-area network structure leveraging sub-GHz long-range radio and 2.4GHz short-range radio to achieve wide-area communication coverage and low-power consumption. By integrating LoRa and ANT, the network demonstrates superior performance in terms of cost, coverage, and power consumption based on real-world deployments at Purdue University campus and the university-owned farm.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Plant Sciences
Navod Neranjan Thilakarathne, Muhammad Saifullah Abu Bakar, Pg Emerolylariffion Abas, Hayati Yassin
Summary: Agriculture, as the primary and oldest industry in the world, has undergone transformation from the prehistoric era to the technology-driven 21(st) century. The advent of Information and Communication Technologies (ICTs) and the Internet of Things (IoT) has revolutionized the agricultural sector and shifted it from statistical to quantitative techniques. Farmers can now monitor crop conditions in real time and automate tasks using IoT solutions, leading to increased productivity and higher harvests.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Computer Science, Information Systems
Antonino Pagano, Daniele Croce, Ilenia Tinnirello, Gianpaolo Vitale
Summary: This article provides a survey on the adoption of LoRa in the agricultural field and reviews state-of-the-art solutions for smart agriculture, analyzing the potential of this technology in different infield applications. It discusses four reference scenarios, including irrigation systems, plantation and crop monitoring, tree monitoring, and livestock monitoring, and analyzes the scalability, interoperability, network architecture, and energy efficiency of LoRa-based solutions in these scenarios. It also presents possible future research directions and points out open issues for further exploration in the next years.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Noramalina Abdullah, Noor Aerina Binti Durani, Mohamad Farid Bin Shari, King Soon Siong, Vicky Kong Wei Hau, Wong Ngei Siong, Ir Khairul Azman Ahmad
Summary: Smart farming based on IoT technology allows farmers to monitor key factors affecting crop growth and control pump switching time using advanced fuzzy logic, resulting in reduced water consumption and irrigation time.
Article
Computer Science, Information Systems
Smarajit Ghosh
Summary: The Internet of Things is commonly used for intelligent energy control and industrial automation in various applications. IoT sensors play a key role in tracking and managing network statistics in the smart grid for safe and efficient power delivery. Challenges in integrating IoT-SG need to be overcome for efficient network operation. This study proposes an IoT-based smart grid energy monitoring system using neuro-fuzzy technology, showing improved performance in hybrid solar/wind power plants with an ANFIS controller.
Article
Computer Science, Artificial Intelligence
Melchizedek Alipio, Kathlyn Mae T. Penalosa, Julioh Roscoe C. Unida
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
(2020)
Article
Engineering, Multidisciplinary
Nestor Michael Tiglao, Melchizedek Alipio, Roselia Dela Cruz, Fawaz Bokhari, Sammia Rauf, Saad Ahmad Khan
Summary: Smartphones with powerful embedded sensors have become indispensable tools for various location-based mobile applications. This survey explores the sensing capabilities of smartphone sensors and efficient indoor localization techniques, categorizing notable approaches such as mapping and dead reckoning. Strengths and weaknesses of different systems, as well as technologies used, are analyzed, and future challenges are discussed.
Article
Computer Science, Artificial Intelligence
Melchizedek Alipio
Summary: This study developed and evaluated a biometric-based user authentication system for a bank vault, using brainwaves extracted through an electroencephalogram device. Through cognitive task analysis and user acceptability evaluation, the results showed high accuracy of the system and ensured security for the vault.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
(2022)
Review
Computer Science, Hardware & Architecture
Jullian Dominic Ducut, Melchizedek Alipio, Phoebe Joanne Go, Ronnie Concepcion, Ryan Rhay Vicerra, Argel Bandala, Elmer Dadios
Summary: This work presents a comparative study of Electrical Resistivity Tomography applications in underground imaging and object detection. It compares parameters such as data acquisition, array protocol, inversion model, geological site description, and number of profiles for each application. It also introduces a classification of these applications based on the type of underground objects detected, and identifies the issues and challenges from each solution.
Review
Agricultural Engineering
Alvin B. Culaba, Andres Philip Mayol, Argel A. Bandala, Ronnie S. Concepcion Ii, Melchizedek Alipio, Wei-Hsin Chen, Pau Loke Show, Jo-Shu Chang, Jayne Lois G. San Juan, Aristotle T. Ubando
Summary: The increase in worldwide demand for energy is driven by population growth and economic development, leading to depletion of fossil fuel supplies and high greenhouse gas levels. Biorefineries, as a popular and carbon-neutral alternative, play a key role in the circular economy model. This paper critically reviews the challenges and future direction of biorefineries as an alternative carbon-neutral energy source.
BIORESOURCE TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Melchizedek Alipio, Miroslav Bures
Summary: This study aims to develop a predictive model using machine learning techniques to monitor and maintain FTTH networks. The results show that the K-nearest neighbors model and the feedforward artificial neural network model are the most accurate classification models, effectively identifying and addressing anomalies affecting network services.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Radek Silhavy, Miroslav Bures, Melchizedek Alipio, Petr Silhavy
Summary: This article applies the use case points (UCPs) method to estimate the size and development effort (DE) of Internet of Things systems. It proposes a tailored UCP for IoT based on a four-layer IoT architecture and validates its applicability and effectiveness through a case study. The results highlight the need for further improvements, particularly due to the lack of historical data sets for IoT projects.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Review
Computer Science, Information Systems
Melchizedek Alipio, Miroslav Bures
Summary: This paper surveys the state-of-the-art DRL-based caching and congestion control techniques in IoT networks from 2019 to 2023, presents general frameworks, and discusses the parameter choices, issues, challenges, and future directions in this research domain.
INTERNET OF THINGS
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Hanna Ysabelle Nasol, Roily Baguinon, Aaron Lance Cabuenas, Nathan Paul Del Rosario, Melchizedek Alipio
Summary: This study introduces a model that predicts the overall severity scores of patients with SARS-CoV-2 using their chest X-ray image features. The results show the potential of machine learning models in accurately predicting the severity of the disease based on image features.
2022 37TH INTERNATIONAL TECHNICAL CONFERENCE ON CIRCUITS/SYSTEMS, COMPUTERS AND COMMUNICATIONS (ITC-CSCC 2022)
(2022)
Proceedings Paper
Engineering, Electrical & Electronic
Alysa Ellen Go, Beatrice Anne Reyes, Jennifer Sofia Lii, Melchizedek Alipio, Sydnie Strong Hall, Jannah Cyril Evanoso
Summary: Smart farming technologies, such as intelligent wearables and biosensor devices, are effective and efficient in monitoring the health of livestock. However, there is currently no classification scheme for these devices. This paper aims to develop a classification scheme for intelligent wearables and biosensors used in agricultural cattle health monitoring.
2022 37TH INTERNATIONAL TECHNICAL CONFERENCE ON CIRCUITS/SYSTEMS, COMPUTERS AND COMMUNICATIONS (ITC-CSCC 2022)
(2022)
Proceedings Paper
Engineering, Electrical & Electronic
Adrian Genevie Janairo, Jonah Jahara Baun, Ronnie Concepcion, R-jay Relano, Kate Francisco, Mike Louie Enriquez, Argel Bandala, Ryan Rhay Vicerra, Melchizedek Alipio, Elmer P. Dadios
Summary: In this study, a new technique for optimizing plate-wire antenna capacitance at very low frequency subsurface imaging of roads is developed using genetic programming integrated with metaheuristic methods. Experimental results showed that the hybrid GP-LA antenna model exhibited the most practical outputs with correct directional propagation and high-power efficiency.
2022 IEEE INTERNATIONAL IOT, ELECTRONICS AND MECHATRONICS CONFERENCE (IEMTRONICS)
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Argeen Blanco, Lance Victor Del Rosario, Ken Ichiro Jose, Melchizedek Alipio
Summary: According to the World Bank, a significant portion of Filipinos lack access to formal water sources, especially in rural areas. While traditional machine learning techniques have been used to classify water potability, there is currently a lack of deep learning-based models. This study aims to develop such a model using deep learning techniques for rural water sources in the Philippines.
2022 IEEE WORLD AI IOT CONGRESS (AIIOT)
(2022)
Proceedings Paper
Melchizedek Alipio
Summary: The security system of bank vaults uses biometric-based authentication through brainwaves, ensuring the vault remains locked for almost 98% of the time. The system shows an accuracy of 90.08% in the best-case scenario of long-term memory task.
2021 IEEE INTERNATIONAL CONFERENCE ON INTERNET OF THINGS AND INTELLIGENCE SYSTEMS (IOTAIS)
(2021)
Proceedings Paper
Melchizedek Alipio
Summary: The study aims to develop a system using machine learning to assess the correlation between occupant work efficiency and physical environment. It consists of a hardware system and data processing unit, which utilizes decision tree algorithm to generate a machine learning model, ultimately sent to a cloud server.
2021 IEEE INTERNATIONAL CONFERENCE ON INTERNET OF THINGS AND INTELLIGENCE SYSTEMS (IOTAIS)
(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.
