Article
Optics
Brandon J. Walker, Yiqun Ma, Ian Bormett, Trevor Zarecki, Robert A. Swader, Kylie Callahan, Leo J. Steiner, Kevin W. Eliceiri
Summary: The open source remote monitoring system is designed to provide researchers in university research laboratories with a cost-effective solution for monitoring multiple high-powered lasers. It can wirelessly indicate laser activity at laboratory entrances and does not require expensive in-wall wiring, making it easy to deploy in different rooms. An optional emergency shut off switch can also be included for added safety measures.
OPTICS AND LASER TECHNOLOGY
(2021)
Article
Chemistry, Analytical
Simone Figorilli, Federico Pallottino, Giacomo Colle, Daniele Spada, Claudio Beni, Francesco Tocci, Simone Vasta, Francesca Antonucci, Mauro Pagano, Marco Fedrizzi, Corrado Costa
Summary: This study developed an open source soil moisture LoRa device for precision irrigation management, generating adaptive predictive models to optimize irrigation practices and save water and electricity in field conditions.
Review
Geochemistry & Geophysics
Xiuliang Jin, Pablo J. Zarco-Tejada, Urs Schmidhalter, Matthew P. Reynolds, Malcolm J. Hawkesford, Rajeev K. Varshney, Tao Yang, Chengwei Nie, Zhenhai Li, Bo Ming, Yonggui Xiao, Yongdun Xie, Shaokun Li
Summary: To meet the challenges of global population growth and climate change, crop yields need to be improved sustainably. Genomics-assisted breeding is becoming popular for ensuring food security, highlighting the importance of linking phenotype and genotype relationships. While high-throughput genotyping is cost-effective, there is a need to enhance high-throughput crop phenotyping methods and data analytical capacities.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
(2021)
Article
Chemistry, Analytical
Petra Itterheimova, Petr Kuban
Summary: A fully automated, open source capillary electrophoresis (CE) autosampler has been developed, capable of handling up to 14 different samples as a modular component of any in-house built CE instrument. It is operated by an Arduino Mega microcontroller and allows fully programmable injection sequence.
ANALYTICA CHIMICA ACTA
(2023)
Article
Biophysics
Tucker Stuart, Le Cai, Alex Burton, Philipp Gutruf
Summary: Recent progress in biosensors has greatly expanded capabilities in research, diagnostics, and treatment, with machine learning and artificial intelligence playing a significant role. The importance of integrated and chronic sensing solutions has become increasingly evident, emphasizing the need for wireless and battery-free platforms for continuous biosignal collection.
BIOSENSORS & BIOELECTRONICS
(2021)
Article
Robotics
Stefan Escaida Navarro, Tanguy Navez, Olivier Goury, Luis Molina, Christian Duriez
Summary: In this letter, a new open source toolbox for design optimization in Soft Robotics is introduced, emphasizing its importance as a trend that changes the way designs are shared and adopted. The toolbox is evaluated using a cable-driven, sensorized soft finger as an example, where multi-objective optimization is needed to find a trade-off between actuation and sensing. The optimization results show that extreme points of the trade-off are significantly different on actually fabricated devices, and an in-depth analysis of sim-to-real behavior is provided, considering factors like mesh density, mechanical parameters, and fabrication tolerances.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Engineering, Aerospace
Sugjoon Yoon, Dongcho Shin, Younghoon Choi, Kyungtae Park
Summary: The study focuses on developing a flexible and expandable UTM simulator for studying air traffic control of unmanned aerial systems in low altitudes. The simulator consists of UTM Operating System, UTM, and multiple Ground Control Stations, replicating the monitoring and control functions of a real UTM. Design requirements and integration efforts are determined based on the analysis of UTM services defined by NASA and Eurocontrol.
Article
Construction & Building Technology
Kuljeet Singh, Caroline Hachem-Vermette
Summary: This research presents a novel open-source methodology for building cluster and neighborhood simulation by integrating individual archetypes building energy models. The methodology successfully merges various building Energy Plus models and can be implemented using programming languages such as Matlab or Python. The proposed workflow is validated for different building clusters and shows a maximum deviation of +/- 2.70% compared to individual BEM simulations. A sensitivity analysis is also performed to quantify the deviation between cluster and individual BEM simulations. The significance index suggests that building cluster simulations yield more adequate results than individual BEM simulations, with the highest significance found for high-rise building clusters.
ENERGY AND BUILDINGS
(2022)
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)
Article
Environmental Sciences
Akram Al-Hourani, Sivacarendran Balendhran, Sumeet Walia, Tetiana Hourani
Summary: With advancements in computer processing power and deep learning techniques, hyperspectral imaging is being explored for improved sensing applications. In this paper, a novel theoretical framework and an open source ultra-low-cost hyperspectral imaging platform based on the line scan method are developed. The platform is designed and fabricated using consumer-grade components, providing high spectral resolution and improved spatial resolution. A cost-effective testing method is also provided to validate the platform's performance.
Article
Engineering, Chemical
Sana Ullah, Ghulam Hafeez, Gul Rukh, Fahad R. Albogamy, Sadia Murawwat, Faheem Ali, Farrukh Aslam Khan, Sheraz Khan, Khalid Rehman
Summary: Agricultural productivity is crucial for a country's economy, and the proper provision of water is essential for increasing productivity. A smart-sensors-based solar-powered system has been developed to monitor and control water supply to crops, reducing water and energy wastage.
Article
Chemistry, Multidisciplinary
Eugenio H. Otal, Manuela Leticia Kim, Steffen Dietrich, Ryogo Takada, Shinji Nakaya, Mutsumi Kimura
Summary: The study developed an open-source system for fluoride detection in natural water, utilizing a reaction on cotton substrates to reduce manipulation of reagents and operator errors, while transferring data to a cell phone to avoid battery use.
Article
Multidisciplinary Sciences
Arunkumar Arumugam, Cole Markham, Saurabh S. Aykar, Barbara Van Der Pol, Paula Dixon, Michelle Wu, Season Wong
Summary: The article introduces a low-cost, open-source CO2 incubator controlled by a Raspberry Pi computer and 3D printer controller board, using dry ice sublimation to generate CO2 supply. Experimental results indicate that the incubator can maintain stable levels of CO2 and temperature, perform well, and conduct antibiotic susceptibility testing.
Article
Computer Science, Interdisciplinary Applications
K. Thirumalesh, Salgeri Puttaswamy Raju, Hiriyur Mallaiah Somashekarappa, Kumaraswamy Swaroop
Summary: A low-cost open-source alternative for specific shock-tube data acquisition and processing system is developed using easily available hardware and software platforms. The 5.3 MHz speed data acquisition system with optimized shock tube data processing software is designed and tested with different diaphragms producing shockwaves of different Mach numbers. Experimental results are consistent with theoretical values, validating the design and construction of the device for scientific experiments.
ENGINEERING REPORTS
(2021)
Article
Agronomy
Haqi Khalid, Shaiful Jahari Hashim, Sharifah Mumtazah Syed Ahmad, Fazirulhisyam Hashim, Muhammad Akmal Chaudhary
Summary: The recent Society 5.0 efforts by the Government of Japan aim to establish a sustainable human-centered society by combining new technologies such as sensor networks, IoT ecosystems, and AI. A new authentication scheme for agriculture professionals based on a multi-gateway communication model using a fuzzy extractor algorithm has been proposed, providing secure mutual authentication using BAN logic. The formal security verification of the scheme with the AVISPA tool shows its resilience against various attacks, and its communication and computation costs are evaluated to be more efficient than existing schemes.
Article
Computer Science, Information Systems
Dimitrios Loukatos, Maria Kondoyanni, Ioannis-Vasileios Kyrtopoulos, Konstantinos G. Arvanitis
Summary: The rapid growth of the electronics industry and the availability of tailored programming tools are accelerating the digitization of the agricultural sector. STEM education plays a significant role in demystifying new areas, but there are still challenges in finding efficient practices for higher education, especially for agricultural engineering students.
Review
Computer Science, Interdisciplinary Applications
Chrysanthos Maraveas, Panagiotis G. Asteris, Konstantinos G. Arvanitis, Thomas Bartzanas, Dimitrios Loukatos
Summary: The article provides an overview of four major bioinspired intelligent algorithms used in agriculture, including ecological algorithms, swarm-intelligence-based algorithms, ecology-based algorithms, and multi-objective algorithms. The focus is on the variants of swarm intelligence algorithms, such as artificial bee colony, genetic algorithm, flower pollination algorithm, particle swarm, ant colony, firefly algorithm, artificial fish swarm, and Krill herd algorithm, as they are widely used in the agricultural sector. Scholars generally agree that certain variants of these bioinspired algorithms are more effective than others in specific applications, such as farm machinery path optimization and pest detection. While the adoption of hyper-heuristic algorithms in agriculture remains low, the benefits associated with these algorithms, such as fuel and cost savings, improved accuracy in agricultural processes, outweigh the risks.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2023)
Article
Chemistry, Analytical
Dimitrios Loukatos, Maria Kondoyanni, Gerasimos Alexopoulos, Chrysanthos Maraveas, Konstantinos G. Arvanitis
Summary: This article highlights the steps for adding intelligence to sensors installed on pumps in order to intercept and deliver malfunction alerts. It involves efficient data gathering, neural network model training, and execution procedures. The best-performing variant of the malfunction detection model can achieve an accuracy rate of about 93% based on vibration data.
Article
Green & Sustainable Science & Technology
Konstantinos Kalkanis, Kyriaki Kiskira, Panagiotis Papageorgas, Stavros D. Kaminaris, Dimitrios Piromalis, George Banis, Dimitrios Mpelesis, Athanasios Batagiannis
Summary: There is a market need for more sustainable product designs, regardless of any crisis, and the COVID-19 pandemic has highlighted the importance of improved collaboration efficiency and resource conservation in the industry. Additive manufacturing technologies have the potential to transform product design and manufacturing by using 3D object scanners to deposit material layer by layer. The optimization and production of emergency ventilators using 3D printing have shown promising results in terms of construction quality and performance.
Review
Energy & Fuels
Dimitrios Rimpas, Stavros D. Kaminaris, Dimitrios D. Piromalis, George Vokas, Konstantinos G. Arvanitis, Christos-Spyridon Karavas
Summary: The modern era of green transportation is focused on electrifying all vehicles using industry 4.0 technologies. Electric vehicles (EVs) offer many advantages such as pollution-free operation, low maintenance costs, and economical operation, thanks to electric motors powered by lithium-ion batteries. However, due to limitations, a hybrid energy storage system (HESS) consisting of batteries and ultracapacitors is gaining attention. This paper reviews different motor technologies used in EVs, such as brushless motors, synchronous reluctance, and induction motors, and classifies them based on their ability to operate with a HESS and maximize efficiency and sizing.
Review
Energy & Fuels
Chrysanthos Maraveas, Eleni Simeonaki, Dimitrios Loukatos, Konstantinos G. Arvanitis, Thomas Bartzanas, Marianna I. Kotzabasaki
Summary: The focus of this review paper was to investigate innovative methods for capturing and using greenhouse gases from livestock farms for energy production. The study reviewed 50 journal articles and found that while the conventional method of combustion of biogas is widely used, there are also emerging methods such as microbial fuel cells and gas-to-liquid conversion. The review concludes that integrating these methods in livestock agriculture has the potential to generate energy from greenhouse emissions and reduce reliance on fossil fuels.
Article
Green & Sustainable Science & Technology
Ioannis Georgakopoulos, Dimitrios Piromalis, Stamatios Ntanos, Vassilis Zakopoulos, Panagiotis Makrygiannis
Summary: The COVID-19 pandemic resulted in a shift from physical laboratory-based university courses to distance learning. This research paper presents a remote lab designed on Education for Sustainable Development principles to help students develop critical thinking, problem-solving, and collaboration skills. The paper aims to identify factors influencing students' performance in remote lab courses and develops a prediction model for at-risk students. The findings highlight the importance of content comprehension and theory exercise familiarization as risk factors, while also emphasizing the relationship between critical thinking and sustainable development competencies.
Article
Chemistry, Multidisciplinary
Charalampos Koulouris, Piromalis Dimitrios, Izzat Al-Darraji, Georgios Tsaramirsis, Mu'azu Jibrin Musa, Panagiotis Papageorgas
Summary: Electronic remote identification (ER-ID) is a new RF technology initiated by the FAA. It allows authorized drones to transmit their identification and location for security and traffic control purposes. However, the current ER-ID algorithms are limited to Wi-Fi and Bluetooth, resulting in a short range. This study introduces a mathematical computing technique based on finite state automaton to expand the range and reduce energy consumption by incorporating other RF channels such as 4G/5G and satellite communications.
APPLIED SCIENCES-BASEL
(2023)
Review
Telecommunications
Vasilios A. Orfanos, Stavros D. Kaminaris, Panagiotis Papageorgas, Dimitrios Piromalis, Dionisis Kandris
Summary: With the rapid development of Internet communication technologies, it has expanded beyond computer networks. MEMS now allows for smaller and higher-performing sensors and actuators. WSN and IoT enable devices to communicate, share data, and be remotely controlled. The cost of components needed for M2M scenarios has become more affordable. This paper provides a comparison of different connectivity technologies to assist in choosing the right technology for home automation.
JOURNAL OF SENSOR AND ACTUATOR NETWORKS
(2023)
Article
Mathematics
Dimitrios Rimpas, Stavros D. Kaminaris, Dimitrios D. Piromalis, George Vokas
Summary: This paper employs a fuzzy logic controller and Mamdani model to control the power distribution of a hybrid system, aiming to optimize the performance of electric vehicles by improving total efficiency, reducing size, and extending battery life.
Review
Agronomy
Chrysanthos Maraveas, Christos-Spyridon Karavas, Dimitrios Loukatos, Thomas Bartzanas, Konstantinos G. Arvanitis, Eleni Symeonaki
Summary: Resource management in agriculture is a crucial issue due to the significant greenhouse gas emissions generated by greenhouse farming and agriculture-related activities. This systematic literature review explores the potential of resource management and optimized environments in greenhouses to reduce energy requirements and CO2 emissions. The findings highlight various technologies and inventions that can be used to achieve zero greenhouse gas emissions through efficient energy-saving mechanisms. These include energy-saving techniques, systems for managing greenhouse conditions, renewable energy systems, and thermal energy storage systems. However, the adoption of these technologies faces challenges, and further research is needed to determine the economic feasibility of implementing certain technologies in greenhouse structures.
Review
Chemistry, Analytical
Nikolaos Peladarinos, Dimitrios Piromalis, Vasileios Cheimaras, Efthymios Tserepas, Radu Adrian Munteanu, Panagiotis Papageorgas
Summary: Digital twins are virtual counterparts that replicate the characteristics and functionalities of tangible objects, processes, or systems within the digital space, enabling simulation and forecast of real-world behavior. In smart farming, they have valuable applications in creating comprehensive virtual replicas of farms, providing dynamic visualization of vital aspects such as crop cultivation, soil composition, and weather conditions. By incorporating data from diverse sources, farmers can make informed decisions regarding efficient irrigation, optimal fertilization, and effective pest management, enhancing overall farm productivity and sustainability. This research paper aims to present an overview of digital twins in smart farming, exploring their potential applications and impact, addressing challenges like data privacy concerns and the need for high-quality data, and discussing the prospects for future research and advancement in this field.
Article
Computer Science, Information Systems
Vasileios Boglou, Christos-Spyridon Karavas, Athanasios Karlis, Konstantinos G. Arvanitis, Ilias Palaiologou
Summary: The integration of photovoltaic panels and electric vehicles presents challenges for residential distribution grids due to unsynchronized new demand and time-limited production. This necessitates the use of energy storage systems (ESSs) despite their high costs. A distributed optimal small-scale PV energy system sizing strategy is proposed in this study, considering individual energy needs and EV charging. The optimization results show that this approach can significantly reduce energy costs by up to 40% while allowing distribution system operators to incorporate additional loads without network expansion.
Review
Computer Science, Information Systems
Dimitrios Piromalis, Antreas Kantaros
Summary: The Digital Twin concept method is a newly introduced term in simulating artificial or physical systems, employing a digital representation and modeling method to expand and improve the life cycle of complex items, systems, and processes. In the automotive industry, digital twin technology has great implications for design, construction, and use stages, particularly benefiting electric vehicles.
APPLIED SYSTEM INNOVATION
(2022)
