bluuebunny/crossref_metadata_2025_split huggingface dataset:
Easy JavaScript Simulation (EJSS) Data Analytics for Singapore
Authors: Wee Loo Kang , Tan Darren , Clemente Félix Jesús Garcia , Esquembre Francisco 
Published: January 2024

Abstract
We have integrated Easy JavaScript Simulation (EJSS) Data Analytics into the national Learning Management System for Singapore schools, known as the Singapore Student Learning Space (SLS). EJSS Data Analytics enhances the teaching and learning experience for educators and students by enabling educators to monitor and evaluate students’ interactions with interactive computer simulations. The data analytics and visualisation capabilities are delivered using the Moodle platform and version 1.3 of the specifications for Learning Tools Interoperability (LTI). In this paper, we showcase the potential for EJSS Data Analytics to identify students’ learning difficulties and misconceptions. Four examples of EJSS Data Analytics applications are provided to illustrate insights on aspects that include understanding a student’s sequential actions leading to specific task outcomes, the frequency of task attempts by each student, and the ratio of students achieving correct versus incorrect task completions. We identify five key considerations for designing the EJSS teacher dashboard. These considerations relate to Student Thought Process, Student Behaviour, Student Engagement, Student Choice, and Teacher Feedback. These five facets provide a framework for aligning our design efforts with the needs of students and teachers, also drawing upon research in data analytics for education.
Field testing of low-cost particulate matter sensors for Digital Twin applications in nanomanufacturing processes
Authors: Lopez de Ipiña Jesus M. , Lopez Alberto , Gazulla Alejandro , Aznar Gabriel , Belosi Franco , Koivisto Joonas , Seddon Richard , Durałek Paweł , Vavouliotis Antonios , Koutsoukis Grigorios , Lopez de Ipiña Karmele , Florez Sonia , Costa Anna 
Published: January 2024

Abstract
The EU-project ASINA is testing Low-Cost Particulate Matter Sensors (LCPMS) for industrial monitoring of the concentration of airborne particles, with the purpose of integrating this sensor technology within the data collection layer of Digital Twins (DTs) for manufacturing.
This paper shows the results of field performance evaluations carried out with five LCPMS from different manufacturers (Alphasense OPC-N3, Plantower 9003, Sensirion SPS30, Sensirion SEN55 and Tera Sensor NetxPM), during several field sampling campaigns, conducted in four pre-commercial and commercial pilot lines (PLs) that manufacture nano-enabled products, belonging to the ASINA and OASIS H2020 EU-projects [2,28]. Field tests consisted of deploying LCPMS in manufacturing process, measuring in parallel with collocated reference and informative instruments (OPS TSI 3330/CPC TSI 3007), to enable intercomparison.
The results show the complexity and differential response of the LCPMS depending on the characteristics of the monitored scenario (PL). Overall, they exhibit uneven precision and linearity and significant bias, so their use in industrial digital systems without proper calibration can lead to uncertain and biased measurements. In this sense, simple linear models are not able to capture the complexity of the problem (non-linear systems) and advanced calibration schemes (e.g. based on machine learning), applied “scenario by scenario” and in operating conditions as close as possible to the final application, are suggested to achieve reliable measurements with the LCPMS.
Microwave-based CO2 desorption for enhanced direct air capture: experimental validation and techno-economic perspectives
Authors: Lim Tae Hwan , Foster John E , Ellis Brian R , Skerlos Steven J 
Published: January 2024

Abstract
This study explores the feasibility and potential techno-economic advantages of employing microwaves for direct air capture (DAC) applications. The experimental setup resembles an industrial-scale microwave system, utilizing a single-mode applicator and zeolite 13x beads arranged in a panel configuration. This configuration essentially represents a miniaturized version of a potential DAC plant based on microwaves. The results demonstrate that microwave irradiation rapidly and efficiently desorbs the CO2 from sorbents with approximately 90% desorption achieved in 10 min—substantially shorter than conventional conduction-based methods. The desorption process occurred at a low temperature of about 50 °C, in contrast to nearly 120 °C in conventional bulk heating, due to selective heating near CO2 binding sites. Our results support that desorption duration and temperature could be further reduced by applying more uniform heating while intensifying the selective process. Based on our research and recent literature, we propose three key techno-economic advantages of designing a DAC system with microwaves that are unattainable by the conventional approach. A reduced regeneration time could allow for a more compact system design while maintaining throughput. The selectivity of microwave absorption could drastically reduce energy demand, bringing it close to the sorbent’s thermodynamic energy limits. Furthermore, the low-temperature process could inhibit the thermal degradation of amines on the sorbents, which is unavoidable in conventional processes. Potential resonant CO2 desorption by forming nonthermal plasma (NTP) is discussed. Our research highlights the feasibility and significance of employing advanced regeneration methods in the development of next-generation DAC systems.
Assessment of energy gain in SPV Tree structure with bifacial PV modules in Rajasthan
Authors: Vyas Maharshi , Chowdhury Sumit , Verma Abhishek , Jain V. K. 
Published: January 2024

Abstract
With the rising use of renewable energy generation sources, there is a need for dependable and sustainable measuring techniques to monitor and measure the performance of the energy sources. Existing guidelines and standards for measurement of performance of PV modules are specified only for monofacial PV modules, in which the measurement of irradiance falling on the PV module is irrespective of the ground-clearance or mounting height up to a certain extent. With reference to techno-commercial aspects, the pitch in a ground-mounted power plant is set based on how optimum energy generation can be obtained with minimum land utilization. In case of bifacial PV modules, generation gain can be achieved by varying the ground-clearance/mounting height of the modules as the energy generation depends on the irradiance on both front as well as back side of the module. In this research study, the authors have compared field measurements of energy gained by varying the ground-clearance of bifacial PV modules by using bifacial PV modules in a novel structure of SPV Tree. The simulation and practical results show that the energy gain increases up to 3.5% in Marigold SPV Tree structure as the mounting height is 4 m, contrary to a conventional ground-mounted structure with mounting height 0.5 m from the ground.
DSSC Fundamentals and Optimization Materials :A Review
Authors: Singh Palvinder , Sachdeva Amit 
Published: January 2024

Abstract
Recently, researchers are focusing on renewable energy sources such as wind energy, Hydro-thermal energy, and solar energy. In this research article DSSC fundamentals and optimized materials are discussed and compared. The maximum efficiency reported by the researcher is 12% using Ru (II) dyes. The efficiency of DSSC depends on the various factors such as working electrode material, counter electrode material, dye used in preparation of solar cell are discussed. The simplest technique used for fabrication of DSSC solar cell is doctor blade method also discussed in this review article.
Performance evaluation of Renewable Energy Sources based grid connected system considering Unified Power Flow Controller
Authors: Mounika S , sharma Himanshu , Balakrishna A 
Published: January 2024

Abstract
The quality of power is a major concern for the utilities and the power industries. Since the 1980’s, the term power quality has become a very prevalent one. There are various factors that affect the power quality, such as sag, swell, and power factor variation. The main cause of these issues is the use of non-linear loads. In a RES based grid-connected system, harmonics variation is one of the main issues that can affect the quality of power. Hence to address this in this paper Unified Power Flow Controller (UPFC) is proposed for the grid connected system. Many papers were proposed with the various FACTS devices but the performance of the proposed system exhibits a better one. In this paper application of UPFC is implemented in MATLAB/Simulink on test cases of wind-based grid connected system and PV based grid connected system. The performance of the proposed UPFC is compared with conventional Voltage Source Inverter (VSI). In all the cases the proposed UPFC exhibits the improved performance. This ensures the reduction in the harmonics in the power system in future.
Enhancing Electric Vehicle Performance: A Co-Relation Study of Key Performance Parameters
Authors: Madheshiya Pankaj , Maurya Arun Kumar , Rai Anil Kumar 
Published: January 2024

Abstract
The urgent issues of greenhouse gases and global warming have drawn more attention globally. The adoption of Electric Vehicle (EV) technology has altered the transportation industry and progressively decreased the market share of fossil fuel-powered automobiles as a crucial step to solve these pressing concerns. EVs provide emissions-free mobility since they run on chemical energy stored in rechargeable battery packs. These Battery Electric Vehicles (BEVs) can recover kinetic energy lost while braking by utilizing regenerative braking technology, further boosting their environmental friendliness. Performance has significantly improved as a result of manufacturer’s ongoing advances to EV technology. The effectiveness of regenerative braking and battery capacity are two critical performance factors for EVs that have a substantial impact on their total performance. A thorough examination of key performance metrics and their connection becomes essential for achieving additional improvement. Industries use simulation tools for evaluation, but they frequently ignore the intricate relationship between many performance-influencing factors. In order to address this, we provide a Co-Relation research study on a number of commercially available electric vehicles, concentrating on the battery capacity, power, driving range, and pick-up as the key performance aspect. We determine the Co-Relation between these factors using Karl Pearson Co-Relation coefficient, which offers important insights regarding EV performance. The findings of this research will be a useful tool for EV makers, promoting a better knowledge of parametric connection and assisting them in optimizing the performance of their EV model. Additionally, the finding of post-sale analysis of performance indicators may provide crucial confirmation for the results of simulation. This study helps direct to the automobile sector toward a future that is more efficient and sustainable.
Integrated Decision Support System for Flood Disaster Management with Sustainable Implementation
Authors: William P. , Oyebode Oluwadare Joshua , Sharma Aman , Garg Nikhil , Shrivastava Anurag , Rao ALN 
Published: January 2024

Abstract
Emergency management of a flood catastrophe should involve not only an immediate reaction to the flooding but also the pre-flood disaster phase, the flood disaster phase, and the post-flood disaster phase. This is in addition to the immediate response to the flooding. This research investigates whether or not a decision support system (DSS) for flood emergency management is necessary and whether or not it is feasible. Previously, we presented a model for the development of modular disaster management decision support systems. The prior work that we did on the integration of DSS model decomposition-derived modular subroutines is expanded upon in this research. The act of merging many models into a single comprehensive logical model is referred to as “Observed and Forecasted.” After that, it offers a systematic framework for handling crises throughout the whole of the process, and it concludes with an in-depth analysis of the function architecture of each application subsystem. In this work, we create a disaster management metamodel with the goal of eventually building a disaster management (DM) language. It will function as a representational layer of DM data that, over time, will create a system for DM decision support that mixes and matches various DM actions in line with the evolution of the disaster as it develops. A decision support system that will contain an innovative metamodel as a core component will be developed in order to accomplish the aims of integrating, enabling, and accelerating access to DM information. These objectives will be reached via the creation of a decision support system.
Precision Agriculture Model for Farm Irrigation using Machine Learning to Optimize Water Usage
Authors: Patil S B , Kulkarni R B , Patil S S , Kharade P A 
Published: January 2024

Abstract
The food demand is ever increasing each year and to meet this demand precision agricultural approach using machine learning tools play an important role. Precision irrigation systems integrate cutting-edge technologies, such as sensors, controllers, data analytics and internet, to achieve sustainability in agriculture and maximize water use so as to improve crop production while minimizing water wastage and climate impact. The main purpose of this article is to find out the precise water requirements for a particular area of the land by using soil moisture sensors. These sensors provide real-time data that is transmitted to a central control unit, which utilizes data driven algorithms to analyze moisture levels in the soil and controls the water supply. Furthermore, the model developed offers remote monitoring and control capabilities, enabling farmers to access and manage the system from anywhere using mobile or web application. This feature allows farmers to remotely adjust irrigation schedules, receive real-time alerts and notifications, and track water consumption, promoting convenient and efficient management of water resources. Thus by using effective water management techniques such as precision irrigation, controlling the water quality, will accomplish optimizing water usage and intern optimizes the yield.
Solar Tracking for Automation of Irrigation System
Authors: Rao D S Naga Malleswara , Sireesha N Venkata , Arjun G , Sami MD Abdul , Gangadhar S Rama , Vihal T , Kumar Devineni Gireesh 
Published: January 2024

Abstract
Solar energy is considered the most important form of renewable energy resource, as the sun is the main source of energy for our planet Earth. Solar tracking makes sure the sun’s rays are always projected at an angle perpendicular to the solar panel. The main aim of our project is to increase the quantity of energy generated from the solar panel by using an automated Solar tracking system to capture the maximum radiation of the sun i.e., the maximum intensity of the sun’s rays. Our proposed system consists of the development of an automated water pumping system with the help of solar tracking. The proposed method increases efficiency. The power generated from a solar panel is stored in a battery and the power is sent to the water pump only when the soil is dry, this happens with the help of a soil moisture sensor. The solar panel rotates with the help of a DC motor and light-dependent resistor sensors. This is a low-cost project with the embedded system to produce electrical energy from the solar panels by using a microcontroller and sensors light-dependent resistors, where the power required for the automation of the tracking system and the working of the microcontroller is given by the electrical energy which is produced from the sun itself. In rural areas where there are several power cuts, this project can be very useful for the supply of water where the required power is given to the motor from the battery which is charged by the solar panel from its maximum intensity of light which can be tracked by the tracking system.
Thirty Years of Climate and Land-Cover Change and its Effects on Tourism Resources in Valley of Flower National Park
Authors: Bhattacharya Uma , Singh Amandeep , Jolly Rajesh 
Published: January 2024

Abstract
This study investigates how the physical and scenic components of trekking in Vally of Flower National Park are affected by observed variations in rainfall, temperature, and land cover. The impact analysis is structured on a hazard-activity pairs method, which combines factors of environmental change (such as greater temperatures) with tourism activities (like trekking and sightseeing). The findings imply that warmer temperatures and less rain have decreased the chances of landslides, rock falls, and mountain sickness, and also enhanced the physical conditions for trekking. It is now possible to enjoy more flowers and greenery while witnessing fewer animals, waterfalls, and snow due to changes in land cover. In the short term, the melting snow may encourage “last chance tourism,” boosting travel, but over time, the disappearance of the snow and the destruction of the forest will probably lead to a decline in tourism. The research concludes that the most viable strategy for reducing losses is the efficient management of the attractions in the developing heathlands.
Mechanical Enhanced Involuntary Stress-Strain Characteristics and Environmental Assessment: GGBS & Silica-Fume
Authors: Agnihotri Anamika , Ramana P.V. , Agnihotri Ayushman 
Published: January 2024

Abstract
The research looks at the characteristics of Normal Concrete (NC) by testing small square blocks and larger cylindrical samples to see how they respond under pressure and strain. The flexibility of different Ground Granulated Blast Furnace Slag (GGBS) and silica fume mixtures is measured using the Saenz Model, and the results are shown in graphs comparing stress and strain. This study examines how substituting materials like GGBS and adding materials like silica fume to concrete affects its strength and environmental impact. Seven mix designs of M35 grade concrete were prepared to study strength, toughness, ability to stretch, and absorb energy, and how stress and strain are related. The results show that substituting 35% GGBS and adding 10% silica fume is best for improving the strength of NC when compressed. The suggested mathematical equations for how well NC can resist being compressed match up closely with the real-life test results. However, the measured factors show that incorporating 30% GGBS with 5% and 15% silica fume in the concrete causes more environmental harm. However, the NC without pozzolana shows a lower measure of its environmental impact, except for its contribution to climate change.
Assessment of Medical Geology from Major Element Trilinear Diagrams Cl-SO4-HCO3 and Na-K-Mg from Geothermal and Non-Geothermal Springs; Case Study the Wayang Windu Geothermal Area, West Java, Indonesia
Authors: Maria R. , Prasetio R , Shoedarto R.M , Nurohman H , Yuliyanti A. , Lestiana H. , Dida E.N. , Aminuddin  , Rahayudin Y. 
Published: January 2024

Abstract
Medical geology research involves the processes, deficiencies, and excessive exposure of significant elements and minerals to present solutions to health problems. Minerals from volcanic aquifers from geothermal and non-geothermal springs interest medical geology research. Major elements in source rocks essential for our health come from the rocks beneath the earth’s surface. This study aims to evaluate the medical geology of major elements in the water from volcanic aquifers in the Wayang Windu Geothermal Area. The methods used are trilinear analysis of major elements, Piper diagram, and statistical analysis. We have investigated six cold springs, four hot springs, and three dug wells surrounding the Wayang Windu geothermal area. The results of hydrochemical study and field checking identified the location of water sources that have potential uses in medical geology and balneotherapy. The primary relationship elements in the Piper Diagram defined five major water types: CaCl, MgCl, CaMgHCO3, and CaHCO3. Results from hydrochemical analyses, statistics, and trilinear diagrams were used to identify springs suitable for medical geology and balneotherapy. Hot springs with good health criteria that meet the balneotherapy requirements are found at locations H1, H2, H3, and H4. Hydrochemical data shows that hot springs in several areas of Pangalengan are suitable for bathing and body contact activities but not for drinking water. Cold springs at locations C1, C2, C3, C4, C5, and C6 meet the drinking water criteria surrounding the Wayang Windu geothermal area.
Structural Model Update on the Patuha geothermal system, West Java, Indonesia
Authors: Reski Ezidin , Amin Taufik Al , Ramadhan Yuris , Atmaja Randy Wijaya , Wilmarth Maxwell 
Published: January 2024

Abstract
The Patuha geothermal field is a steam-dominated geothermal system lying on a quaternary volcanic unit in West Java Province, Indonesia. The existence of manifestations in this field is interpreted from the structure control and rock deformation that generate steam production in reservoir zone. This updated study is aimed to further describe the geometry and kinematics of the geological structures model to estimate the permeable areas. The model also will explain the link between the larger tectonic framework and the detailed structure model scale in Patuha. The analysis consists of reassessment the LiDAR data, surface structure features measurement from fieldwork, and review the updated subsurface data such as feed zones, new borehole images, and re-visit the geophysical data such as microearthquakes and gravity. The surface structural interpretation is drawn from a larger area to understand the regional tectonic framework and the relation with small detail from faults and non-tectonic features. Later, the new structural framework from surface data is correlated with subsurface data that indicates permeable features, including feed zones and conductive fractures, then coupled with the geophysical data. The latter part, which concerns validating surface fault traces using subsurface data, is currently being developed and will be included in the subsequent paper. An integrated review of the geological structure of the lineament found that a strike-slip system developed in the larger Patuha area with the main fault trending NE-SW, while the accompanying fault is en-echelon faults trending relatively NNE-SSW.
Fourier-transform-only method for random phase shifting interferometry
Authors: Saltik Alperen , Saylan Sueda , Tokel Onur 
Published: January 2024

Abstract
An accurate and computationally simple phase shifting interferometry (PSI) method is developed to reconstruct phase maps without a priori knowledge of the phase shift. Previous methods developed for random PSI either do not address general sources of error or require complex iterative processes and increased computational time. Here we demonstrate a novel method that is able to extract the phase using only Fourier transform (FT). With spatial FT analysis, randomly phase-shifted data is reordered to allow performing temporal FT on the intensity, which is a function of the phase shift. Since the entire process, including order analysis and phase calculation, is based only on Fourier analysis, it is rapid, easy to implement, and addresses general sources of error. The method exhibits high performance in experiments containing random phase shifts. Moreover, simulations incorporating common experimental error sources such as random intensity noise, intensity harmonics, and phase shift errors demonstrate that the proposed method performs as good as or better than the state-of-the-art phase reconstruction techniques in terms of accuracy and time.