bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effectiveness of Mixed Materials on the Acceleration and Quality of Sugar Palm Dregs Compost
Authors: Sarjiyah  , Novitasari M D , Mulyono  
Published: December 2023

Abstract
Due to the high nutrient, sugar palm dregs can work as compost. The high fiber content and C/N ratio of sugar palm dregs (99.4%) are obstacles because it takes a long time for the decomposition process, so it is necessary to add mixed ingredients to achieve a C/N ratio of 30:1 and speed up the composting process. This study aims to examine the effect of the types of mixed materials on the speed of the composting process and the quality of sugar palm dregs and to obtain the most effective mixture in accelerating the composting process and producing sugar palm dregs compost according to SNI compost. This research was conducted using an experimental method using a single-factor design arranged completely randomized. The factors studied included mixed ingredients in composting sugar palm stem dregs, such as Azolla, tofu dregs, and Gliricidia leaves. The amount of mixed material added to the sugar palm dregs compost was based on the calculation of the C/N ratio of 30:1. The treatment is as follows: A = (15 kg of sugar palm stem dregs + 12 kg of Azolla + molasses), B = (15 kg of sugar palm stem dregs + 37 kg of tofu dregs + molasses), C = (15 kg of sugar palm stem dregs + 13 kg of Gliricidia leaves + molasses) and D = (15 kg of sugar palm stem dregs + molasses). The results showed that the Azolla mixture was the most effective in accelerating composting and producing the best sugar palm dregs compost.
Efficacy of Organic Matter Briquette Combined with Nitrogen Fertilizer towards Maize (Zea mays L.) Growth on Coastal Sandy Soil
Authors: Budiyanto G 
Published: December 2023

Abstract
Application of organic briquettes has promising potency to optimize the efficacy of nitrogen fertilization for maize cultivation (Zea mays L.) under sub-optimal condition. This present study was aimed to select the type of organic briquette to be combined with N fertilizer as well as determine the ratio of the mixture to promote higher growth performance of maize on coastal sandy soil. This study was designated using completely randomized design (CRD) with 2 factors, namely doses of organic briquettes and doses of N fertilizer. As the control for the treatment, the non-briquette forms were also applied. Five replicates were prepared for each treatment. The results showed that organic briquettes application improved the efficacy of N fertilization. Specifically, briquette made from chicken manure significantly enhanced the maize growth on coastal sandy soil with the dose of 10 tons per hectare. This result was marked by the highest yield, namely corn cobs per plant (159.82 g).
Land Evaluation for Cassava Cultivation in Southern Slope of Mount Merapi: Case Study in Palemsari Hamlet, Umbulharjo Village (Cangkringan, Sleman)
Authors: Budiyanto G , Aisyah S N 
Published: December 2023

Abstract
Palemsari Hamlet (Umbulharjo Village, Cangkringan District, Sleman Regency) is one of areas located in Southern Slope of Mt. Merapi, which was directly affected by the eruption cycle of Mt. Merapi. The aftereffect of 2010 eruption had reduced land productivity, making it less suitable for crop cultivation. Therefore, this study was aimed to re-evaluate the land suitability of Palemsari Hamlet, particularly for cassava cultivation, after 10 years of eruption. This study was carried out from June – November 2021 in Palemsari Hamlet. Physiographic conditions and soil properties were observed through survey. The data obtained were analyzed descriptively and spatially to determine the characteristics through a series of laboratory analysis. This data was used to determine the class of land suitability. Results showed that the land suitability in PalemsariHamlet was considered as moderately suitable (S2) for cassava cultivation. This area was found to have less suitable soil texture due to the high percentage of sand fraction. According to this result, the soil condition in Palemsari Hamlet is potential to be used for cassava cultivation with the support of organic matter application to improve its physical properties. This recommendation could be beneficial for the future land use planning in the affected areas of Mt. Merapi eruption.
Applying a machine learning method for cumulative fatigue damage estimation of the IEA 15MW wind turbine with monopile support structures
Authors: Ren C , Xing Y 
Published: December 2023

Abstract
Offshore support structures are critical for offshore bottom-fixed wind turbines, as they bear nearly all the mass and loading of wind turbine systems. In addition, the support structures are generally subjected to a harsh environment and require a design life of more than 20 years. However, the design validation of the support structure normally needs thousands of simulations, especially considering the fatigue limit state. Each simulation is quite time-consuming. This makes the design optimization of wind turbine support structures lengthy. Therefore, an effective approach for estimating the fatigue damage of wind turbine support structures is essential. This work uses a machine learning method named the AK-DA approach for cumulative fatigue damage of wind turbine support structures. An offshore site in the Atlantic Sea is studied, and the related joint probability distribution of wind-wave occurrences is adopted in this work. The IEA 15MW wind turbine with monopile support structure is investigated, and different wind-wave conditions are considered. The cumulative fatigue damage of the monopile support structure is estimated by the AK-DA approach. The numerical results showed that this machine learning approach can efficiently and accurately estimate the cumulative fatigue damage of the monopile support structure. The efficiency is increased more than 55 times with an error of around 1%. The AK-DA approach can highly enhance the design efficiency of offshore wind support structures.
Effect analysis of wooden fence width on wave transmission by SWASH model
Authors: Mai T , Dao H T , Ngo T T A , Pham H H , Liu Y 
Published: December 2023

Abstract
Wooden fences, a permeable structure, have become a nature-based solution for supporting traditional structures to restore mangrove forests along the Mekong deltaic coasts. Even though prior studies have explored a number of hydraulic functions of these fences, an in-depth investigation into the influence of fence width on wave dissipation and damping is needed to consider. Therefore, this paper employs a numerical approach to thoroughly examine the impact of fence width on wave damping. The findings illustrate the substantial role of fence width in governing the dissipation of incoming waves. The correlation between the transmission coefficient and the fence width is established. This relationship also concludes that the larger the fence thicknesses, the lower the transmission coefficients. Notably, the study also identifies that the transmission coefficient experiences a slight decline beyond a certain width threshold.
An approach for fatigue life assessment of a road bridge based on measured corrosion and actual traffic loading
Authors: Gebremeskel M T , Cruz A T , Adasooriya N D 
Published: December 2023

Abstract
Fatigue and corrosion play a significant role in the aging of steel bridges, especially in a marine environment. An absence of fatigue strength curves for details which are exposed to corrosive environments, realistic traffic load models and accurate damage accumulation models increase the susceptibility of fatigue damage of steel bridges. In this paper, remaining fatigue life of a road bridge is assessed based on the measured corrosion wastage and more realis-tic traffic loads. Corrosion fatigue is also studied as it is one of the main factors that reduce the fatigue life and recently proposed fatigue strength curve for structural details exposed to corrosive environments is utilized for this study. A non-linear fatigue damage accumulation model is used for life assessment apart to the conventional damage model, Miner’s rule. The calculated fatigue lives are compared and discussed in quantitative manner to identify the most conservative remaining life and corresponding methods.
Ship emission projections based on time series forecasting model for sustainable shipping in the strait of Malacca and Singapore
Authors: Ten K-H , Kang H-S , Wong K-Y , Siow C-L , Ong C-H , Hoo K-C , Liu Y 
Published: December 2023

Abstract
As maritime activities continue to play a pivotal role in global trade, concerns over ship emissions’ environmental impact have intensified. This study presents detailed projection of ship emissions in Strait of Malacca and Singapore (SOMS), based on Automatic Identification System (AIS) data. By harnessing the rich AIS dataset, emission profiles were developed out of the ship activities data. To envision a sustainable maritime future, we incorporate some possible scenarios around the region combined with a time series forecasting model to project the future conditions of ship emission in SOMS. By analysing the conditions in each scenario, essentials for shaping intelligent systems for efficient maritime traffic can be discovered. Our analysis considers evolving factors such as various ship properties, operational modes, and trajectories. The results provide insights for policymakers, industry stakeholders, and environmental planners seeking to mitigate the local maritime sector’s carbon footprint. This study signified the value of AIS data-driven approach to facilitate regional strategist in confronting resolutions for greener maritime operation, aligning with the transition to intelligent and sustainable practices in the maritime industry within the SOMS.
Open material database for tensile test properties of additive manufacturing materials
Authors: Garcia-Granada A A , Rostro-González H. , Puigoriol-Forcada J M , Reyes-Pozo G 
Published: December 2023

Abstract
In recent years, the investigation of material properties within additive manufacturing, also known as 3D printing, has gained significant research attention. The intricate interplay between numerous fabrication parameters and the resultant material properties of 3D-printed components has become crucial, particularly for enabling effective topology optimization. Considering this, we propose the establishment of an accessible open database. This repository stores a comprehensive collection of fabrication files corresponding to each distinct material and printer combination, accompanied by the outcomes of meticulous tensile testing. To support the research community, our initiative extends to the inclusion of material provider datasheets, facilitating comprehensive result comparisons. A standardized approach utilizing consistently applied strain rates is recommended, focusing on a compact dog bone specimen design. This pioneering attempt encompasses an expansive array of data derived from 25 distinct materials and 9 diverse printers, meticulously capturing the inherent variability within the samples. The database catalogues the complete spectrum of tensile test data, encompassing various essential measurements such as mass, and crucial material properties including Young’s modulus, yield stress, fracture strain, and absorbed energy. These recorded metrics can be seamlessly correlated against density, manufacturing time, or cost parameters, enabling the generation of insightful plots and analysis. Through this collaborative effort, we aim to provide researchers with a robust foundation for informed decision-making and advancements in additive manufacturing.
Comparative analysis of artificial neural network model and analysis of variance for predicting defect formation in plastic injection moulding processes
Authors: Dejene N D , Wolla D W 
Published: December 2023

Abstract
This study investigates the impact of plastic injection moulding process parameters on overflow defect formation. Experiments were conducted using a Taguchi L27 orthogonal array design. Multilayer Perceptron (MLP) artificial neural networks is explored and compared with ANOVA predictions. To assess model performance, the Root Mean Squared Error (RMSE) and the coefficient of determination (R2) is applied. The study considered temperature, speed, pressure, and packing force when constructing the MLP model using the back-propagation algorithm in Python. Results show that among the configured MLP neural networks, the 3-layer MLP architecture with sigmoid activation functions in hidden layers and a linear function in the output layer exhibited the lowest prediction error and the highest coefficient of determination. Comparative analysis reveals that the MLP neural network outperforms the ANOVA model, indicating superior prediction accuracy. The predicted outcomes from the ANN align well with experimental values, demonstrating the effectiveness of the ANN model in forecasting defect formation under specific process conditions. This research sheds light on the significance of process parameters and showcases the potential of MLP neural networks as a valuable tool in predicting and mitigating overflow defects in plastic injection moulding.
Day-ahead optimal scheduling of micro gas turbine-based microgrid considering electricity and heating energy
Authors: Zhang Q , Assadi M 
Published: December 2023

Abstract
Microgrids are considered as the crucial element in the integration of various distributed energy resources in buildings. They are capable of operating in both grid-connected and islanded mode and have shown immense potential in absorbing renewable energy. However, the widespread implementation of intermittent renewable energy sources, coupled with variable electricity pricing, has significantly increased the operation uncertainty of microgrids. This paper presents an analysis of the operation strategies of an integrated energy system that includes a micro gas turbine, a ground source heat pump, PV panels with the aim of meeting the heating and electricity demands of a commercial building. To facilitate this endeavor, a neural network model for micro gas turbines was developed with a focus on fast computation time and high accuracy in capturing off-design performance. Furthermore, mathematical models for ground source heat pump, PV panel were developed and validated using the Modelica language. Dymola optimization package was utilized to derive the day-ahead scheduling followed by one-hour intervals for the system, with the purpose of minimizing the electricity and heating costs associated with the system. The results demonstrate that the total costs could be reduced by approximately 51% during the analyzed period, indicating a promising avenue for cost savings in the system’s operation.
Numerical analysis of the construction integrity on the example of a prosthetic device
Authors: Hadžikadunić Fuad , Mujkanović Ahmed , Vukojević Nedeljko , Bajtarević-Jeleč Amna 
Published: December 2023

Abstract
The lower limb prosthesis, as the specific object of this biomechanical research, has the task of restoring the normal function of the missing part of the human body. Creating a prosthesis exclusively for the end user is a very complex process. The subject of analysis in this work is the analysis of forces, deformations and stress state on the example of structural elements of the lower prosthetic device with the aim of understanding the integrity of the structure under the action of variable load. This analysis is one of the bases for the overall approach to the design of prosthetic aids for the end user, and especially the creation of the socket, as the most important element of a prosthesis in contact with man’s residuum. The main goal of this work is to estimate the real value of the load of a complex prosthesis, to understand the effect of the load on the elements of the observed example of construction, and to understand the load transfer on the connection of the prosthesis structure with the socket. After defining the real load values, the performed numerical analysis indicated the critical points of the construction, the need to use more accurate material properties in the “foot” element, and in the “socket” zone, the possibility for corrections of the shape and thickness of the wall.
Antifungal protection of beech wood using plant extracts
Authors: Stefanović Mimica , Todorović Nebojša , Milić Goran , Lovrić Aleksandar 
Published: December 2023

Abstract
In this research, the antifungal efficacy of dry plant extracts of Chinese cinnamon bark (Cinnamomum cassia L.), Rtanjski tea herb (Satureja montana L.) obtained by water extraction and extract of Thyme herb (Thymus serpyllum L.) obtained by ethanol-water extraction was investigated against the fungi Coniophora puteana and Serpula lacrymans, which cause brown rot, and the fungus Trametes versicolor, which causes white rot of hardwood and conifers. Five different concentrations of plant extracts were tested, and water was used as a solvent. Samples of beech wood (Fagus sylvatica ssp. moesiaca (Maly) Czeczott.) were treated by the immersion method with solutions of plant extracts and exposed for 60 days to the action of the test fungi. The smallest mass loss (%) of beech wood when affected by each of the test fungi was in samples treated with Thymus serpyllum extract at a concentration of 25%, followed by Satureja montana at the same concentration. Cinnamomum cassia bark extract did not show significant antifungal activity against the test fungi at any concentration. The obtained results can affirm the use of dry plant extracts as ecologically acceptable agents in the preventive protection of non-resistant wood species against rotting fungi.
Power losses in the MOSFET transistors of switching-mode converters
Authors: Kunov Georgi , Brusev Tihomir , Gadjeva Elissaveta 
Published: December 2023

Abstract
The power losses in the MOSFET transistors of switching-mode converters are investigated and analyzed. The results presented in this paper are achieved using software Cadence OrCAD. The simulation model suitable for estimation of energy dissipations in MOSFET transistors is proposed. The power losses as a function of different circuit’s parameters, like switching frequency, power supply voltage and output current are evaluated. The PSpice model of MOSFET transistor “BSC020N03MS” of the company Infineon is used in the presented analysis. Control circuit, which realize the adaptive deadtime (ADT) control technique depending on the load current, is applied to reduce the switching power losses in the MOSFET transistor. Thus, the efficiency of the switching-mode converters can be increased.
Software system for automatic reading, storing, and evaluating scanned paper Evaluation Sheets for questions with the choice of one correct answer from several offered
Authors: Hadžić Đulaga , Saletović Enes , Kapić Zinaid 
Published: December 2023

Abstract
Although the technology to automatically score multiple-choice tests has been around for several decades, it is still not as widely available or affordable, especially for paper-based test processing. The main reasons that hinder these processes are the lack of software systems capable of working with contents that are not filled optimally and do not require expensive scanners or other costly equipment. In this study, we present a software system for the automatic reading, storing, and evaluation of scanned assessment sheets. This software system offers a solution that only requires the usual scanned Evaluation Sheets in the form of a not high-resolution image and with the help of specific markers, the system performs reading, storage, and scoring. The user interface is designed to read and display the data from the Evaluation Sheets in detail so that they are very understandable to the user and allow him to quickly spot any errors. The tool has been validated over six years of use and has been continuously improved throughout that period. Thus, this software system achieves a high level of reliability and sensitivity to different levels of the quality of filling out Evaluation Sheets by students.
One experimental research with cement substitution by fly ash
Authors: Džidić Sanin , Poprženović Arnel 
Published: December 2023

Abstract
Compared to all other construction materials, concrete is by far the most utilized construction material worldwide today. Billions of tons of natural virgin materials have been mined and processed worldwide to produce concrete. Such industrial processes and facilities leave significant unfavourable ecological traces in nature. In addition, it is assumed that the concrete production industry together with the cement industry emits seven percent of the total CO2 emissions in the world. For every ton of cement produced, 0.9 ton of CO2 is released into the atmosphere. It is almost certain that there will be no reduction in concrete production in the world in the coming years, but the question arises as to how and in what way to reduce the use of cement in concrete production. One of the mineral additives to the binder is fly ash, which has pozzolanic properties and is produced as a by-product of thermal power plants and is available in Bosnia and Herzegovina. This research considers questions whether and to what extent it is possible to replace cement with fly ash and how this substitution affects the compressive strength of concrete using referenced concrete mix with local concrete ingredients.
Experimental and Analytical Deformation Analysis of Truss Members
Authors: Hodžić Damir , Veladžić Elma 
Published: December 2023

Abstract
Paper presents comparative analysis of experimental and analytical results of mechanical properties on truss members. Deformations are experimentally determined on the model of plexiglass truss, using six strain gauges. Strain gauges are measuring the deformation of truss members at the pre-defined measuring points. Knowing modulus of the elasticity and Hooke’s law, it is possible to calculate the stress values. The experimental stress values will be compared with the values obtained by the software and the results will be analyzed.
Analysis of foundation solution for the noise protection walls on the reinforced earth
Authors: Veladžić Asmin , Gačo Dženana , Veladžić Aida 
Published: December 2023

Abstract
This paper brings the introduction of the analysis of foundation solution for the noise protection walls on the reinforced earth along the Highway Corridor Vc, a road and rail transport corridor that connects Hungary, Croatia and Bosnia and Herzegovina, included in the network of Pan-European transport corridors. A solution with pile foundations made of steel IPE profiles is presented in detail. During the design and modelling, as well as the calculation of the structural foundation, the modern software program PLAXIS was used, and the calculation was made in accordance with EN 1997 Eurocode 7, Geotechnical Design. Special attention is devoted to the analysis of the impact of driving IPE steel profiles, as foundation piles, on reinforced earth. The presented solution was then verified by an additional control calculation and a field test of the impact of the horizontal load on the bearing capacity of the IPE steel profile driven into the reinforced slope. Based on the conducted analyses and testing, it has been proven that it is possible to build noise protection walls on the reinforced earth without disturbing the internal stability and functionality of the reinforced earth.