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Photovoltaic Fault Detection in Remote Areas Using Fuzzy-Based Multiple Linear Regression (FMLR)

International Journal of Advanced Computer science and Applications 2025年第4期16卷 243-249页

作者： Ardianto, Feby Ermatita, Ermatita Sofijan, Armin Doctoral Program in Engineering Science Universitas Sriwijaya Palembang Indonesia Faculty of Computer Science Universitas Sriwijaya Palembang Indonesia Faculty of Engineering Universitas Sriwijaya Palembang Indonesia

This research focused on developing and implementing a fault detection model for photovoltaic (PV) systems in remote areas, utilizing a Fuzzy-Based Multiple Linear Regression (FMLR) approach. The study aimed to address the challenges of monitoring PV systems in locations with limited access to conventional power grids and technical resources. The fault detection system integrated environmental parameters such as solar radiation, temperature, wind speed, and rainfall, alongside PV system parameters like panel voltage, current, battery voltage, and inverter performance. Data collection and preprocessing were conducted over a specified period to identify operational patterns under both normal and faulty conditions, ensuring data accuracy through cleaning, normalization, and categorization. The research was conducted in Pandan Arang Village, Kandis District, Ogan Ilir Regency, South Sumatera, Indonesia, contributing to the improvement of reliability and sustainability of renewable energy sources in isolated communities. The total number of data points for 276 rows with 6 attributes each was 1656 records. The MLR model was developed to predict the output power of the PV system, while fuzzy logic was employed to handle uncertainties in the data, offering a more flexible and adaptive decision-making process. The system applied fuzzy rules to determine the charging status (P3), categorizing it into Optimal Charging, Adjusted Charging, Charging Delay, or Fault Alert. The model was tested with real-time data, and its performance was validated through comparison with manual inspections. The results showed that the FMLR-based fault detection system effectively identified faults and optimized the performance of the PV system, making it suitable for remote areas in South Sumatera. © (2025), (science and Information Organization). All Rights Reserved.

关键词： Multiple linear regression

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Developing site selection indices for hydro-pumped storage systems (Case study: Tehran Province, Iran)

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Energy Storage and Saving 2025年第1期4卷 27-37页

作者： Danehkar, Shaghayegh Yousefi, Hossein Doctoral candidate in Earth Resources Engineering Faculty of Engineering Kyushu University Japan School of Energy Engineering and Sustainable Resources College of Interdisciplinary Science and Technology University of Tehran Tehran*** Iran

The demand for renewable energy technologies is increasing globally. With the rapid depletion of fossil fuels and the growing awareness of their harmful impacts on the environment and climate, there is an urgent need to focus on developing renewable resources. However, a significant challenge with renewable energy is its variability due to factors like weather and time of day. This causes the amount of generated power to vary drastically in unfavorable situations, making the design of effective storage technologies a high priority. The primary role these structures is to store excess energy and release it later at peak shaving. Among various available storage methods, pumped hydro storage systems are prominent, particularly for bulk energy storage. Owing to the complexity of the site selection process for these structures, developing and arranging key site selection indicators based on precise location criteria is critical. In the present case study in Tehran Province, seven suitability indicators based on 24 location criteria were defined to optimize the site selection process for pumped storage systems. Each index includes a specific number of site selection sub-criteria. To prioritize the criteria, the Fuzzy Analytic Hierarchy Process method and surveys from five experts were applied to determine the final weights. Using this method, several suitable locations with different varieties were identified throughout the Tehran Province. © 2024

关键词： Pumped hydro storage systems Site selection Energy storage Geographic information system Tehran Province

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Fine-Tuned Attribute Weighted Naïve Bayes with Modified Partial Instances Reduction for Gaming Disorder Classification

HighTech and Innovation Journal

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HighTech and Innovation Journal 2025年第1期6卷 67-80页

作者： Latubessy, Anastasya Wardoyo, Retantyo Musdholifah, Aina Kusrohmaniah, Sri Doctoral Program Department of Computer Science and Electronics Faculty of Mathematics and Natural Science Universitas Gadjah Mada Yogyakarta55281 Indonesia Department of Informatics Engineering Faculty of Engineering Universitas Muria Kudus Indonesia Department of Computer Science and Electronics Faculty of Mathematics and Natural Science Universitas Gadjah Mada Yogyakarta55281 Indonesia Department of Psychology Faculty of Psychology Universitas Gadjah Mada Yogyakarta55281 Indonesia

Fine Tuning Attribute Weighted Naïve Bayes (FTAWNB) is a reliable modified Naïve Bayes model. Even though it is able to provide high accuracy on ordinal data, this model is sensitive to outliers. To improve the performance of FTAWNB, this research modified the Partial Instances Reduction (PIR) technique to make the FTAWNB more adaptive to outliers. Nevertheless, in contrast to the original PIR technique, which substitutes missing values for data values deemed outliers, the PIR technique suggested in this study replaces data values deemed outliers using a Naïve Bayes weighting approach. The attribute values from the outlier data are replaced with the highest probability values for the attributes in the actual class. This PIR technique is referred to as modified PIR. The FTAWNB model with modified PIR has been evaluated using the Gaming Disorder dataset. Replacing the four attributes with the least amount of information resulted in accuracy gains of 99.74%, an increase of 1.53% over the FTAWNB model. The experimental result shows that adding the modified PIR technique to the FTAWNB model can handle the outlier in the data, proving it by increasing the performance in terms of accuracy, precision, and recall without pruning the dataset used. © 2025, Ital Publication. All rights reserved.

关键词： Attribute Weighted Classification Fine-Tune Gaming Disorder Instances Reduction Naïve Bayes

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A review on reactive oxygen species-induced mechanism pathways of pharmaceutical waste degradation:Acetaminophen as a drug waste model

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Journal of Environmental sciences 2025年第1期147卷 688-713页

作者： Saba Humayun Maan Hayyan Yatimah Alias Department of Chemistry Faculty of ScienceUniversity of MalayaKuala Lumpur 50603Malaysia University of Malaya Centre for Ionic Liquids University of MalayaKuala Lumpur 50603Malaysia Chemical Engineering Program Faculty of Engineering and TechnologyMuscat UniversityMuscat P.C.130Oman

Innately designed to induce physiological changes,pharmaceuticals are foreknowingly hazardous to the *** oxidation processes(AOPs)are recognized as a set of contemporary and highly efficient methods being used as a contrivance for the removal of pharmaceutical *** reactive oxygen species(ROS)are formed in these processes to interact and contribute directly toward the oxidation of target contaminant(s),a profound insight regarding the mechanisms of ROS leading to the degradation of pharmaceuticals is fundamentally *** conceptualization of some specific reaction mechanisms allows the design of an effective and safe degradation process that can empirically reduce the environmental impact of *** review mainly deliberates themechanistic reaction pathways for ROS-mediated degradation of pharmaceuticals often leading to complete mineralization,with a focus on acetaminophen as a drug waste model.

关键词： Wastewater treatment Ionic liquid Hydroxyl radical Superoxide Pharmaceutical contaminant Advanced oxidation process Deep eutectic solvent Hydrogen peroxide

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Variable Length Multi-Objective Whale Optimization for Trust Aware Data Gathering in Wireless Sensor Network

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IEEE Access 2025年 13卷 32100-32121页

作者： Saad, Mohammed Ayad Jaafar, Rosmina Chellappan, Kalaivani Faculty of Engineering and Built Environment Department of Electrical Electronics and System Engineering Selangor Bangi43600 Malaysia Al-Kitab University Department of Medical Instrumentations Technique Engineering Kirkuk36001 Iraq Universitas Airlangga Biomedical Engineering Study Program Faculty of Science and Technology Surabaya60115 Indonesia

Efficient data collection in wireless sensor networks (WSNs) is crucial. While traditional approaches rely on stationary data sinks, the use of mobile sinks, like unmanned aerial vehicles (UAVs), has shown promise in enhancing data-gathering capabilities. However, existing methods often overlook the importance of trust, leaving the network susceptible to malicious or faulty nodes. To address this issue, we propose a novel trust-aware data-gathering algorithm, Variable Length Multi-Objective Whale Optimization Data Gathering (VLMOWO-DG). Our algorithm simultaneously optimizes energy consumption, delay, and trust while employing mobile sinks to collect data from sensor nodes. By considering trust as a key performance metric, we improve data reliability and security. The VLMOWO-DG algorithm introduces flexibility through variable-length solution representation and application-oriented operators, allowing for efficient exploration of the solution space. Simulation results demonstrate that our proposed algorithm significantly outperforms established benchmarks, NSGA-II and NSGA-III, in terms of domination and hypervolume. This leads to a remarkable improvement of 200% in data gathering performance. © 2015 The Authors.

关键词： Data collection

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The Influence of Silicon Dioxide as a Fuel Additive in a Diesel Engine Fuelled by Pure Palm Oil 4

The Influence of Silicon Dioxide as a Fuel Additive in a Die...

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4th International Symposium on Advances and Innovation in Mechanical engineering, ISAIME 2023

作者： Prahmana, Rico Aditia Darmanto, Prihadi Setyo Reksowardojo, Iman Kartolaksono Prakoso, Tirto Juangsa, Firman Bagja Doctoral Program of Mechanical Engineering Faculty of Mechanical and Aerospace Engineering Institut Teknologi Bandung Bandung40132 Indonesia Program Study of Mechanical Engineering Faculty of Industrial Technology Institut Teknologi Sumatera South Lampung35365 Indonesia Thermal Science and Engineering Research Group Faculty of Mechanical and Aerospace Engineering Institut Teknologi Bandung Bandung Indonesia Department of Chemical Engineering Faculty of Industrial Technology Institut Teknologi Bandung Bandung40132 Indonesia Program Study of Mechanical Engineering Faculty of Industrial Technology Universitas Pertamina Jakarta12220 Indonesia

In the last decade, the Indonesian government has implemented a program to use biodiesel as a substitute for fossil diesel to reduce dependence on fossil fuels. On the other hand, the development of biodiesel as an alternative fuel to replace fossil diesel has several challenges, one of which is the production of biodiesel, which is more complicated and requires a long process. However, the direct use of crude palm oil (CPO) in diesel engines is not recommended because it has many drawbacks. Research recently shows that fuel additives in diesel engines have promising prospects. Therefore, to solve the problem, this study used pure palm oil (PPaO) as the primary fuel, with the addition of silicon oxide (SiO2) as a fuel additive in diesel engines. The results showed that using SiO2 additive in PPaO can increase thermal efficiency by 18.8% at 60% load compared to diesel fuel (DF). Nevertheless, using this fuel increased specific fuel consumption (SFC) by 3.9% on average and increased the opacity by 153% compared to diesel fuel. These results indicate that SiO2 has the potential to be developed as an effective additive to PPaO fuel that can improve the efficiency and performance of diesel engines. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Biodiesel

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Manufacturing process design for cellular structure used as impact energy absorbers 4

Manufacturing process design for cellular structure used as ...

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4th International Symposium on Advances and Innovation in Mechanical engineering, ISAIME 2023

作者： Komara, Asep Indra Setiawan, Rachman Budiwantoro, Bagus Doctoral Program of Mechanical Engineering Faculty of Mechanical and Aerospace Engineering Institut Teknologi Bandung Bandung Indonesia Faculty of Mechanical and Aerospace Engineering Institut Teknologi Bandung Bandung Indonesia Manufacturing Design Engineering Department Politeknik Manufaktur Bandung Bandung Indonesia

The application of passive safety technology in vehicles is generally through impact-absorbing structures. This technology has been widely applied to trains, planes, and cars to protect passengers from fatal accidents. Cellular structures are defined by a unit cell that combines material, space, and unit cell repetition to obtain a large structure. It is selected as the base structure of the impact energy absorber for its potentially high specific energy absorption (SEA]. Such a structure poses a challenge in its manufacturing method. This study examines alternative manufacturing processes for cellular structures designed as impact absorbers, and then selects and develops an effective and efficient manufacturing method to produce these cellular structures. Several alternative manufacturing methods were chosen to exercise the use of a combined plaster molding technology and additive manufacturing for prototyping. Manufacturing process simulation studies were conducted using Altair Inspire Cast software to determine the success of the casting process. The final stage is to carry out the process of making cell structures and evaluating the results. This work results in an effective manufacturing process design to be implemented throughout the production stage. Furthermore, for mass production, mold patterns may be replaced by using injection molding. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Injection molding

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Nanoparticle formulation of ZnO: TiO2 as sunscreen cream for Cutaneous Lupus Erythematosus (CLE) patients 12

Nanoparticle formulation of ZnO: TiO2 as sunscreen cream for...

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12th International Conference on Physics and Its Applications, ICOPIA 2024

作者： Siswanto Qulub, Fitriyatul Junico, Vallery Ofelia Viannco Physics Program Study Faculty Science and Technology Universitas Airlangga Surabaya Indonesia Biomedical Engineering Program Study Faculty Science and Technology Universitas Airlangga Surabaya Indonesia

Cutaneous Lupus Erythematosus (CLE) is a form of lupus that affects the skin and is highly sensitive to ultraviolet (UV) light. UV-B. in particular. can trigger inflammation and apoptosis in CLE patients. making a sunscreen with effective UVB protection crucial. This study evaluates the effectiveness of zinc oxide (ZnO) and titanium dioxide (TiO2) nanoparticles in sunscreen. ZnO and TiO2 nanoparticles were prepared using the High Energy Milling method. resulting in particle sizes of 7.77 nm and 4.44 nm. respectively. The creams containing these nanoparticles were tested for physical stability and UV protection. Results showed that the creams were physically stable and provided good UV protection. with ZnO and TiO2 nanoparticles making up 12.60% of the total cream ingredients. resulting in the highest SPF (Sun Protection Factor) value of 62.0 ± 1.37. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： TiO2 nanoparticles

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DISTANCE BETWEEN SPECIES BY CONFUSION OPERATORS OF MULTI-CLASS CLASSIFIERS

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UPB Scientific Bulletin, Series A: Applied Mathematics and Physics 2025年第1期2025卷 171-182页

作者： Tarbă, Nicolae Irimescu, Ionela N. Pleavă, Ana M. Scarlat, Eugen N. Mihăilescu, Mona Doctoral School Computer Science and Engineering Department Faculty of Automatic Control and Computers National University of Science and Technology POLITEHNICA Bucharest Romania Applied Sciences Doctoral School National University of Science and Technology POLITEHNICA Bucharest Romania CAMPUS Research Center National University of Science and Technology POLITEHNICA Bucharest Romania Physics Dept National University of Science and Technology POLITEHNICA Bucharest Romania Physics Dept Research Center for Applied Sciences in Engineering National University of Science and Technology POLITEHNICA Bucharest Romania

We introduce a method to evaluate the similarities between classes of objects based on the confusion matrices coming from the multi-class machine learning (ML) predictors that operate in the vector space generated by the classes. Operation in the confusion domain allows us to use the distance as evaluation metric of the closeness of the relevant properties carried by the classes. We applied the method to semiquantitatively evaluate the effects of X-ray and carbon ion radiation on cultured SW1353 chondrosarcoma cells with respect to the non-irradiated reference. We prove that it is possible to draw useful information on the strength of cells nuclei changes. © 2025, Politechnica University of Bucharest. All rights reserved.

关键词： Radiation effects

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PRELIMINARY ASSESSMENT OF THE RADIONUCLIDES INVENTORY IN IRRADIATED AlMg3 ALLOY

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UPB Scientific Bulletin, Series B: Chemistry and Materials science 2025年第1期87卷 147-162页

作者： Diaconescu, Cristina Elena Dulugeac, Stefan Dănuț Negrea, Aurelian Denis Florea, Ionuț Cosmin Dupleac, Daniel National University of Science and Technology POLITEHNICA of Bucharest Faculty of Energy Engineering Doctoral School of Energy Engineering Bucharest Romania Institute for Nuclear Research Pitesti Mioveni Romania CRC&D-Auto National University of Science and Technology POLITEHNICA Bucharest Pitesti University Centre Romania National University of Science and Technology POLITEHNICA Bucharest Romania

The irradiated aluminium that will result from TRIGA decommissioning (foreseen to be SHUT-DOWN in 2035) is considered a problematic radioactive waste category for which it will be necessary to establish an appropriate management strategy. The paper presents the results obtained by MCNP and ORIGEN computer code calculations performed to estimate the radionuclides inventory in AlMg3 alloy samples irradiated in controlled conditions in the TRIGA reactor. The chemical composition of the sample was determined by SEM-EDS, EDXRF, and ICP-OS measurements as it is a necessary parameter in the accuracy of computer code modeling. The results obtained highlighted the presence of60Co,65Zn,3H,63Ni,55Fe,59Fe,54Mn radionuclides in the AlMg3 alloy irradiated samples. This preliminary inventory data will be used to develop the characterization strategy of the aluminium waste that will be generated by TRIGA decommissioning. © 2025, Politechnica University of Bucharest. All rights reserved.

关键词： Magnesium alloys

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