DSpace Cris Angular :: Browsing by Subject "'current"

Browsing by Subject "'current"

Now showing 1 - 20 of 31

Advanced machine learning algorithm to predict the implication of climate change on groundwater level for protecting aquifer from depletion
(Elsevier B.V., 2024)
Ahmed Osman A.I.
;
Latif S.D.
;
Wee Boo K.B.
;
Ahmed A.N.
;
Huang Y.F.
;
El-Shafie A.
;
57221644207
;
57216081524
;
58939630300
;
57214837520
;
55807263900
;
16068189400
Due to the impact of climate change, the groundwater level (GWL) has been declining recently in Malaysia, which is essential to protect the groundwater aquifer against depletion. Therefore, the current study aimed to propose an accurate GWL prediction model using advanced machine learning (ML) algorithms in five populated towns, namely Jenderam, Bangi, Beranang, Kajang, and Paya Indah Wetland which are in Selangor, Malaysia. The models developed, used 11 months of previously recorded daily meteorological data of rainfall, temperature, evaporation, and GWL data from one selected well for each town, to predict 1-day, 3-day, and 5-day horizons GWL. For all five locations, four ML algorithms have been trained, tested, and then evaluated: long short-term memory (LSTM), extreme gradient boost (XGBoost), Artificial Neural Network (ANN), and Support Vector Regression (SVR). Further, the best model among the four proposed models is used to predict daily GWL from January 2030 to December 2039 using projected rainfall and temperature data extracted from the Intercomparison Project Phase 5 (CMIP5) climate model. Applying the same 3 different input combinations for the models, the results showed that all the locations, including the GWL time-series data, improved the prediction accuracy significantly in all four models. Using testing data for 1-day ahead GWL prediction at Paya Indah Wetland as the best-performing location, XGBoost achieved the highest prediction performance with root mean squared error (RMSE) of 0.026 followed by LSTM, ANN, and SVR with RMSE of 0.027, 0.050, and 0.085 respectively. Ultimately, the results obtained in this study serve as a great benchmark for future GWL prediction using LSTM and XGBoost algorithm and give an insight into the influence of climate change on future GWL. Further, the findings can help local water resource managers draft resealable accuracy water resource plans in the state of Selangor for the next decade. ? 2024 Elsevier B.V.
8
Advancement in thermophotovoltaic technology and nanoparticle incorporation for power generation
(Elsevier Ltd, 2023)
Khairul Azri A.A.
;
Mohd Jasni M.S.
;
Wan Muhamad Hatta S.F.
;
Islam M.A.
;
Abdul Wahab Y.
;
Mekhilef S.
;
Ker P.J.
;
58294307100
;
57368165200
;
35184383500
;
58806853000
;
57203353903
;
57928298500
;
37461740800
Thermophotovoltaic (TPV) technology harvests electricity from a source of thermal radiation and at current, TPV cells can achieve conversion efficiency of more than 40%. The construct of the TPV system is relatively complex than the conventional solar cell in which the TPV has two critical components, specifically the absorber-emitter and filters, to help in enhancing the transfer of photons to the TPV cell for conversion. Despite its importance, works on the optimization of these components for an ideal TPV system are still lacking. This review examines previous studies on the TPV structure, and details extensive techniques to improve current designs of the TPV systems - notably through the use of textured absorbers, selective emitters and different types of filters. Inevitably, the selection of materials and designs of the absorber-emitter are essential in enhancing the TPV performance. Herein, challenges and enhancements in the form of optical performance, thermal stability, and electrical performance are comprehensively discussed. This review identifies the crucial role of nanoparticles incorporated into the absorber-emitter layer of a TPV system. This review also critically highlights technology advancements incorporated into the TPV technology which will effectively boost performance and improve the fabrication and operational costs of this sustainable technology. � 2023 International Solar Energy Society
8
Advances in fibre Bragg grating technology for magnetic field sensing: A review
(Elsevier B.V., 2023)
Rostami A.
;
Wahaab F.A.
;
Soleimani H.
;
Sikiru S.
;
Khosravi V.
;
Yusuff A.O.
;
Hamza M.F.
;
57192384461
;
57210743667
;
55556142100
;
57211063469
;
57202034458
;
57219201379
;
58285000600
Magnetic field sensing is crucial for various scientific and technological applications, but current methods have limitations in cost, size, and weight. Fiber Bragg Grating (FBG) magnetic field sensors have emerged as a promising alternative, offering compact size, and simplified fabrication. This review introduces FBG synthesis methods and extensively discusses the three primary magneto-optic mechanisms for magnetic field sensing: Faraday effect, magnetic fluid, and magnetostrictive materials. We evaluate their advantages and disadvantages, with Faraday effect relying on the Verdet constant and facing complexity in measurement elements. FBG magnetic sensing with magnetic fluid shows promising sensitivity and versatility but is challenged by optical loss-induced errors. Magnetostrictive materials provide robustness but exhibit limited linearity. Future research should focus on addressing these challenges to enhance the reliability of FBGs for magnetic sensing. The findings highlight the exceptional potential of FBGs in advancing magnetic field sensing applications. � 2023 Elsevier Ltd
14
Automated transtibial prosthesis alignment: A systematic review
(Elsevier B.V., 2024)
Khamis T.
;
Khamis A.A.
;
Al Kouzbary M.
;
Al Kouzbary H.
;
Mokayed H.
;
Razak N.A.A.
;
Osman N.A.A.
;
57900244500
;
57771696300
;
57202956887
;
57216612501
;
35085400100
;
42261165400
;
57244856600
This comprehensive systematic review critically analyzes the current progress and challenges in automating transtibial prosthesis alignment. The manual identification of alignment changes in prostheses has been found to lack reliability, necessitating the development of automated processes. Through a rigorous systematic search across major electronic databases, this review includes the highly relevant studies out of an initial pool of 2111 records. The findings highlight the urgent need for automated alignment systems in individuals with transtibial amputation. The selected studies represent cutting-edge research, employing diverse approaches such as advanced machine learning algorithms and innovative alignment tools, to automate the detection and adjustment of prosthesis alignment. Collectively, this review emphasizes the immense potential of automated transtibial prosthesis alignment systems to enhance alignment accuracy and significantly reduce human error. Furthermore, it identifies important limitations in the reviewed studies, serving as a catalyst for future research to address these gaps and explore alternative machine learning algorithms. The insights derived from this systematic review provide valuable guidance for researchers, clinicians, and developers aiming to propel the field of automated transtibial prosthesis alignment forward. ? 2024 Elsevier B.V.
6
Biomass and organic waste conversion for sustainable bioenergy: A comprehensive bibliometric analysis of current research trends and future directions
(Diponegoro university Indonesia - Center of Biomass and Renewable Energy (CBIORE), 2024)
Alao K.T.
;
Gilani S.I.-U.-H.
;
Sopian K.
;
Alao T.O.
;
Oyebamiji D.S.
;
Oladosu T.L.
;
57557551300
;
8429526700
;
7003375391
;
59228956300
;
59229079200
;
57202498005
The rising demand for renewable energy sources has fueled interest in converting biomass and organic waste into sustainable bioenergy. This study employs a bibliometric analysis (2013-2023) of publications to assess trends, advancements, and future prospects in this field. The analysis explores seven key research indicators, including publication trends, leading contributors, keyword analysis, and highly cited papers. We begin with a comprehensive overview of biomass as a renewable energy source and various waste-to-energy technologies. Employing Scopus and Web of Science databases alongside Biblioshiny and VOSviewer for analysis, the study investigates publication patterns, citation networks, and keyword usage. This systematic approach unveils significant trends in research focus and identifies prominent research actors (countries and institutions). Our findings reveal a significant increase in yearly publications, reflecting the growing global focus on biomass and organic waste conversion. Leading contributors include China, the United States, India, and Germany. Analysis of keywords identifies commonly used terms like "biofuels," "pyrolysis," and "lignocellulosic biomass." The study concludes by proposing future research directions, emphasizing advanced conversion technologies, integration of renewable energy sources, and innovative modelling techniques. ? 2024. The Author(s).
15
Computational design and analysis of LiFePO4 battery thermal management system (BTMS) using thermoelectric cooling/thermoelectric generator (TEC�TEG) in electric vehicles (EVs)
(Elsevier Ltd, 2023)
Hameed M.M.
;
Mansor M.B.
;
Azau M.A.M.
;
Alshara A.K.
;
57896081200
;
6701749037
;
36068973900
;
56652224100
The best option for addressing the issue of rising carbon dioxide levels, which is the primary cause of global warming, currently involves using electric vehicles (EVs). The successful production of EVs can be attributed to batteries. However, one major issue lies in the rise in temperatures for the battery system of EVs. Therefore, a good battery thermal management system (BTMS) is necessary. Several traditional and non-traditional types of these systems are available. BTMSs for EVs have utilized thermoelectric cooling (TEC) and thermoelectric generator (TEG). The current research introduces a hybrid BTMS that combines thermoelectric materials with forced air. While the use of thermoelectric materials in BTMS is not a new concept, this approach offers a novel solution. In the current study, the thermoelectric cooler (TEC) and thermoelectric generator (TEG) are combined into a single unit. While TECs have long been used in BTMS, the new addition of TEGs allows for the conversion of lost heat from the TEC's hot surface into a reverse voltage that powers both the TEC and TEG. Additionally, the TEG helps to reduce the overall temperature of the battery container by converting heat into a potential difference, as previously mentioned. Simulation of the single battery cell and the full BTMS is realized using the ANSYS 2021R1 software. A single battery cell and BTMS utilize 6,197,879 and 12,697,173 numbers of mesh, respectively. The introduced BTMS was utilized in the current study to decrease the maximum surface temperature of a single battery cell by approximately 7 �C. � 2023 Elsevier Ltd
16
Control technologies of wastewater treatment plants: The state-of-the-art, current challenges, and future directions
(Elsevier Ltd, 2023)
Faisal M.
;
Muttaqi K.M.
;
Sutanto D.
;
Al-Shetwi A.Q.
;
Ker P.J.
;
Hannan M.A.
;
57215018777
;
55582332500
;
7006225709
;
57004922700
;
37461740800
;
7103014445
Existing pieces of literature on previous studies advocate the research focus by various researchers to reach the benchmark of energy efficiency of Wastewater Treatment Plants (WWTPs). The driving factors to improve the energy efficiency and mitigate the energy self-sufficiency of WWTP have been identified as the increase in population growth, rising energy costs, and tightening effluent discharge requirements. WWTP economy is directly related to energy consumption and thus affects smart grid economy. There has been limited research on energy self-sufficiency and optimizing the energy demand and cost of WWTP, where the significant contributing factors are in development an optimal pumping system and advanced motor technologies. Moreover, high quality WWTP's effluent depends on the concentration level of biochemical oxygen demand (BOD) and total kjedhal nitrogen (TKN). Even so, WWTPs are always subject to evident nonlinearities and uncertainties, making it difficult to define proper optimization objectives. Besides, controllers and control systems have a strong influence on the performance of the plants. Therefore, existing research gaps to achieve optimal efficiency with minimized energy consumption and costs are the design of the WWTP plant, pumping system, motors, selection of suitable controllers and control systems, and their parameter optimizations to get the optimal output from the plant, switching techniques, challenges and uncertainties associated with plant are highlighted in this paper. Thus, as a novel contribution to the literature, this study aims to review and analyze the history, current issues, and future directions of WWTP control technologies in the context of sustainable development. The rigorous study by the authors in this paper will definitely lead the academic researchers and industry partners toward the development of optimal WWTP technologies with improved efficiency and minimized energy consumption and costs. � 2023 Elsevier Ltd
15
Effect of silica fume on the properties of sustainable cement concrete
(Elsevier Editora Ltda, 2023)
Hamada H.M.
;
Abed F.
;
Binti Katman H.Y.
;
Humada A.M.
;
Al Jawahery M.S.
;
Majdi A.
;
Yousif S.T.
;
Thomas B.S.
;
57004288800
;
6602685673
;
55812804800
;
56263166900
;
57204656145
;
57207308738
;
57205785073
;
55838284800
The disposal of hazardous waste materials in landfills and open areas creates a severe impact on the environment. Silica Fume (SF), a by-product from the ferrosilicon and silicon industry, is generated in high quantities. Recent studies have highlighted the advantages of reusing SF to produce high-strength concrete (HSC) and ultra-high-performance concrete (UHPC) instead of discarding it. This paper herein reviews the current research on SF in concrete and discusses the physical and chemical properties, mechanical properties, durability, and microstructure. Depending on the concentration of the SF, flexural, tensile, and compressive strength was positively influenced. Also, SF improved the pore size to increase drying shrinkage through the pozzolanic reaction. A few studies showed the disadvantages of SF exhibiting the negative impact on workability and shrinkage of concrete. The influence of SF on cement hydration products should be analyzed from the microstructure perspective. � 2023 The Author(s)
16
The effect of the COVID-19 pandemic on Malaysian residential customers? energy-saving appliance purchasing behaviour
(Emerald Publishing, 2024)
Jaaffar A.H.
;
Kasavan S.
;
Mustapa S.I.
;
Al-Amin A.Q.
;
58897806500
;
57200044815
;
36651549700
;
23481119100
Purpose: The COVID-19 pandemic has caused a dramatic impact on energy supply and demand. It is vital to understand households? behaviour with regard to energy, particularly during the pandemic, to deploy future sustainable energy systems. This study aims to investigate the nexus of Malaysian households? energy consumption behaviour in relation to various electrical appliances, their energy-saving appliance purchasing behaviour and their current possession of energy-saving appliances during the pandemic, especially during the lockdown period, from the perspective of the energy cultures framework. Design/methodology/approach: The partial least squares structural equation modelling technique was used to test hypothesised relationships based on the 1,485 pieces of household data collected using an online and physical survey during the lockdown period in Malaysia. Findings: The energy-saving behaviour cultivated due to the impact of the COVID-19 pandemic led to residential customers? intentions to purchase energy-saving appliances which subsequently led to their current possession of energy-saving appliances. Indeed, energy-saving behaviours in the kitchen, entertainment, office, home lighting and cooling appliances have more than 77.4% influence on their purchasing behaviour. The consumer?s purchase behaviour for energy-saving appliances has a significant, partially mediating influence on the energy-saving behaviour of various electrical appliances and the consumers? current possession of energy-saving appliances. Research limitations/implications: This study could be enhanced by improving the sample using a higher-income group and involving other parts of Malaysia such as the southern region. The findings do extend the energy cultures framework by demonstrating the mediating role of households? energy-saving appliance purchasing behaviour on the relationship between their energy consumption behaviour in relation to various electrical appliances and their current possession of energy-saving appliances. Practical implications: The results of this study will help develop future action plans for transitioning to energy-saving appliance practices. Originality/value: This paper examines the effects of the COVID-19 pandemic on future energy efficiency practices in developing countries from the perspective of the energy cultures framework. ? 2023, Emerald Publishing Limited.
5
The effect of the COVID-19 pandemic on Malaysian residential customers� energy-saving appliance purchasing behaviour
(Emerald Publishing, 2023)
Jaaffar A.H.
;
Kasavan S.
;
Mustapa S.I.
;
Al-Amin A.Q.
;
58897806500
;
57200044815
;
36651549700
;
23481119100
Purpose: The COVID-19 pandemic has caused a dramatic impact on energy supply and demand. It is vital to understand households� behaviour with regard to energy, particularly during the pandemic, to deploy future sustainable energy systems. This study aims to investigate the nexus of Malaysian households� energy consumption behaviour in relation to various electrical appliances, their energy-saving appliance purchasing behaviour and their current possession of energy-saving appliances during the pandemic, especially during the lockdown period, from the perspective of the energy cultures framework. Design/methodology/approach: The partial least squares structural equation modelling technique was used to test hypothesised relationships based on the 1,485 pieces of household data collected using an online and physical survey during the lockdown period in Malaysia. Findings: The energy-saving behaviour cultivated due to the impact of the COVID-19 pandemic led to residential customers� intentions to purchase energy-saving appliances which subsequently led to their current possession of energy-saving appliances. Indeed, energy-saving behaviours in the kitchen, entertainment, office, home lighting and cooling appliances have more than 77.4% influence on their purchasing behaviour. The consumer�s purchase behaviour for energy-saving appliances has a significant, partially mediating influence on the energy-saving behaviour of various electrical appliances and the consumers� current possession of energy-saving appliances. Research limitations/implications: This study could be enhanced by improving the sample using a higher-income group and involving other parts of Malaysia such as the southern region. The findings do extend the energy cultures framework by demonstrating the mediating role of households� energy-saving appliance purchasing behaviour on the relationship between their energy consumption behaviour in relation to various electrical appliances and their current possession of energy-saving appliances. Practical implications: The results of this study will help develop future action plans for transitioning to energy-saving appliance practices. Originality/value: This paper examines the effects of the COVID-19 pandemic on future energy efficiency practices in developing countries from the perspective of the energy cultures framework. � 2023, Emerald Publishing Limited.
31
Estimating Crack Effects on Electrical Characteristics of PV Modules Based on Monitoring Data and I-V Curves
(IEEE Electron Devices Society, 2023)
Feng L.
;
Zhang J.
;
Kiong T.S.
;
Ding K.
;
Amin N.
;
Hamelmann F.U.
;
57161726400
;
55994334400
;
57216824752
;
36642197700
;
7102424614
;
6603541611
This study presents an approach to investigate microcrack effects on the output characteristics of photovoltaic (PV) modules based on a theoretical model that is derived from the equivalent single-diode model through monitoring data and current-voltage (I-V) curves. Meanwhile, an innovative parameter optimization algorithm based on particle swarm optimization is developed to extract the parameters. The parametric effects of microcracks on the electrical performance of PV modules are further explored under different meteorological conditions. It was found that the microcracks are formed early without creating inactive areas in solar cells, and the microcrack effects on the output performance of the PV modules are small. The temperature of the normally operating solar cells in a cracked PV module is lower than that of solar cells in a normal PV module. The number of equivalent mismatched solar cells caused by microcracks in the cracked PV module varies continuously with irradiance and temperature. Except for the apparently unaffected I0, microcracks not only greatly reduce the Iph and Rsh but also have a more serious negative impact on the Rs and n of the PV module at high irradiance. Meanwhile, the n-normal, Rs-normal, and Rsh-normal of the normal solar cells and the Rsh-cracks of the cracked solar cells in the cracked PV module are exponentially related to the irradiance. Finally, the experimental validation is effectively implemented to prove the great effectiveness and suitability of the proposed method. The average voltage error of each reconstructed I-V curve based on the extracted parameters and the average errors in Pm, Vm, Im, and Voc of the cracked PV module for 532 I-V curves are 1.15 V, 0.67%, 0.85%, 0.49%, and 0.089%, respectively. � 2011-2012 IEEE.
8
An Experimental Study on the Hardness, Inter Laminar Shear Strength, and Water Absorption Behavior of Habeshian Banana Fiber Reinforced Composites
(Taylor and Francis Ltd., 2024)
Shahapurkar K.
;
Gebremaryam G.
;
Kanaginahal G.
;
Ramesh S.
;
Nik-Ghazali N.-N.
;
Chenrayan V.
;
Soudagar M.E.M.
;
Fouad Y.
;
Kalam M.A.
;
57196344622
;
58662688000
;
57200788797
;
41061958200
;
55444121800
;
57197452830
;
57194384501
;
6603123645
;
58810084600
The current study examines the effect of NaOH treatment on the hardness, inter-laminar shear strength (ILSS) and water absorption behavior of epoxy composites reinforced with banana pseudostem fibers. Using the hand-lay-up method, six distinct samples are created that are composed of layers of woven and short banana fibers in both a plain and hybrid form. Plain- treated woven composites reveal the highest hardness and ILLS properties followed by the hybrid and short fiber composites. The random orientation of the fiber structure in short fiber composites results in the largest moisture absorption; this behavior is further supported by elucidating the kinetic parameters and diffusion coefficient parameters. SEM analysis confirms the improved surface of the NaOH-treated composite material. ? 2024 The Author(s). Published with license by Taylor & Francis Group, LLC.
3
Filament-wound glass-fibre reinforced polymer composites: Potential applications for cross arm structure in transmission towers
(Springer Science and Business Media Deutschland GmbH, 2023)
Asyraf M.R.M.
;
Ishak M.R.
;
Syamsir A.
;
Amir A.L.
;
Nurazzi N.M.
;
Norrrahim M.N.F.
;
Asrofi M.
;
Rafidah M.
;
Ilyas R.A.
;
Rashid M.Z.A.
;
Razman M.R.
;
57205295733
;
36809587400
;
57195320482
;
57223180303
;
55899483400
;
55924430000
;
57193698037
;
57216634842
;
57196328367
;
57221960339
;
35410239300
This manuscript reviews previous literature on filament-wound polymer composites and their potential applications as cross arm structures in latticed transmission towers. The current trends of cross arms implement pultruded glass fibre-reinforced polymer composites without any additional configurations. However, extreme tropical climate and dynamic wind loads can cause a high risk of sudden failure due to creep, followed by laminate crack propagation, which can induce structural failure. Glass fibre-reinforced polymer composites are more resilient in corrosion resistance, strength, extreme conditions, and life serviceability according to previous literature. The composite can also function as a good insulator in lightning impulse strength of composite cross arms. It is suggested that the current cross arm design has to adopt core structure as reinforcement to the structure by using filament winding process for long-term structures. Hence, the composite structure can withstand extreme environmental conditions via the filament winding process. Thus, this manuscript is expected to deliver a state-of-art review on the manufacturing process, perspectives, and potential of filament-wounded composite as cross arms in transmission towers. � 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
20
Groundwater level prediction for excessive agricultural irrigation to achieve SDGs: Vulnerability assessment using field-based empirical method
(Elsevier B.V., 2024)
Ruidas D.
;
Pal S.C.
;
Saha A.
;
Pande C.B.
;
Islam A.
;
Islam A.R.M.T.
;
57226346641
;
57208776491
;
57218365417
;
57193547008
;
57220782569
;
57218543677
Excessive over-drafting and unsystematic management of groundwater brings different geo-environmental problems; thus precise prediction of groundwater (GW) status in large scale becomes prime concern for efficient GW management. This present study primarily focused on estimating the current groundwater status of agro-rich Murshidabad district using a GIS-based empirical approach including trend analysis of groundwater depth (2001?2021) by using Modified Mann Kendall test (MMKT) and Sen's slope estimator; the most prominent water level fluctuation (WLF) method employed in the estimation of groundwater recharge scenario of the last three decades. The groundwater recharge potential zone (GWRPZ) also delineated through widely used logistic regression (LR) method. The current research depicts that eight CD Blocks and twenty-five CD Blocks out of twenty-six CD Blocks are facing notable declining trend in groundwater depth in pre-monsoon and post-monsoon period accordingly, with a 95% confidence level; the lowering down of groundwater recharge (GWR) also alarming, the recharge amount in 2001, 2011 and 2021 was 210958.70 ham, 240168.80 ham and 201921.90 ham respectively due to variability in rainfall; the predicted GWRPZ shows that 674 (12.6%) Km2 and 1392 Km2 (26.02%) come under very high and high recharge zone which is predominantly found in the eastern and south-eastern part of this study region, validated through most reliable method Receiver Operating Characteristics (ROC) and Area Under Curve (AUC) with 0.954 value. Unsystematic over-drafting of groundwater and intense cropping intensity are severely responsible for this alarming condition. Thus, sustainable groundwater management is essential to fulfil SDG-6 by ensuring SDG-2 and policymakers and planners will be benefited from this study in formulating the proper mitigation measures for this agronomic Murshidabad district. ? 2024 Elsevier B.V.
2
Home Energy Management Systems: A Review of the Concept, Architecture, and Scheduling Strategies
(Institute of Electrical and Electronics Engineers Inc., 2023)
Han B.
;
Zahraoui Y.
;
Mubin M.
;
Mekhilef S.
;
Seyedmahmoudian M.
;
Stojcevski A.
;
58128219400
;
57223913703
;
25930079700
;
57928298500
;
55575761400
;
55884935900
Growing electricity demand, the deployment of renewable energy sources and the widespread use of smart home appliances provide new opportunities for home energy management systems (HEMSs), which can be defined as systems that improve the overall energy production and consumption of residential buildings by controlling and scheduling the use of household equipment. By saving energy, reducing residential electricity costs, optimizing the utilization rate and reliability of utility companies' power systems, and reducing air pollution for society, HEMSs lead to an enhancement in the socioeconomic development of low-carbon economies. This review aims to systematically analyze and summarize the development trends and challenges of HEMSs in recent years. This paper reviews the development history of the HEMS architecture and discusses the characteristics of several major communication technologies in the current HEMS infrastructure. In addition, the common objectives and constraints related to scheduling optimization are classified, and several optimization methods in the literature, including various intelligent algorithms, have been introduced, compared, and critically analyzed. Furthermore, experimental studies and challenges in the real world are also summarized and recommendations are given. This paper reveals the trend from simple to complex in the architecture and functionality of HEMSs, discusses the challenges for future improvements in modeling and scheduling, and shows the development of various modeling and scheduling methods. Based on this review, researchers can gain a comprehensive understanding of current research trends in HEMSs and open up ideas for developing new modeling and scheduling approaches by gaining insight into the trade-offs between optimum solutions and computational complexity. � 2013 IEEE.
25
Impact of air pollutants on climate change and prediction of air quality index using machine learning models
(Academic Press Inc., 2023)
Ravindiran G.
;
Rajamanickam S.
;
Kanagarathinam K.
;
Hayder G.
;
Janardhan G.
;
Arunkumar P.
;
Arunachalam S.
;
AlObaid A.A.
;
Warad I.
;
Muniasamy S.K.
;
57226345669
;
57190127095
;
57203041846
;
56239664100
;
57217976806
;
58498085600
;
57784786600
;
57223087505
;
6506402060
;
57214630614
The impact of air pollution in Chennai metropolitan city, a southern Indian coastal city was examined to predict the Air Quality Index (AQI). Regular monitoring and prediction of the Air Quality Index (AQI) are critical for combating air pollution. The current study created machine learning models such as XGBoost, Random Forest, BaggingRegressor, and LGBMRegressor for the prediction of the AQI using the historical data available from 2017 to 2022. According to historical data, the AQI is highest in January, with a mean value of 104.6 g/gm, and the lowest in August, with a mean AQI value of 63.87 g/gm. Particulate matter, gaseous pollutants, and meteorological parameters were used to predict AQI, and the heat map generated showed that of all the parameters, PM2.5 has the greatest impact on AQI, with a value of 0.91. The log transformation method is used to normalize datasets and determine skewness and kurtosis. The XGBoost model demonstrated strong performance, achieving an R2 (correlation coefficient) of 0.9935, a mean absolute error (MAE) of 0.02, a mean square error (MSE) of 0.001, and a root mean square error (RMSE) of 0.04. In comparison, the LightGBM model's prediction was less effective, as it attained an R2 of 0.9748. According to the study, the AQI in Chennai has been increasing over the last two years, and if the same conditions persist, the city's air pollution will worsen in the future. Furthermore, accurate future air quality level predictions can be made using historical data and advanced machine learning algorithms. � 2023 Elsevier Inc.
8
Influence of crystalline Zn-Ag nanoalloy electrodeposits on their anti-corrosion and hardness performance in engineering applications
(Springer Science and Business Media Deutschland GmbH, 2024)
Gnanamuthu R.M.
;
Saravanan G.
;
Kandasamy M.
;
Jesudoss S.K.
;
Ponraj G.B.
;
Rajkumar P.
;
Sivakumar M.
;
Jothivenkatachalam K.
;
Srinivasan D.
;
6507030333
;
6601974611
;
57052581200
;
56454308100
;
59150853700
;
59219616500
;
7004952579
;
47561511000
;
56622471900
The main goal of the current work is to develop external excellence, hardness, and anti-corrosion quality materials for engineering and metal finishing applications. To design and prepare a binary type of Zn-Ag nanoparticles as an alloy substantial over on mild steel (MS) engineering substrate using direct current (DC) electrochemical deposition. In this regard, silver nanoparticles are evenly distributed throughout the pure zinc with high-quality surface. Some different bath compositions, experimental settings, and parameters are used to optimize Zn-Ag nanoalloy coatings. The prepared specimen is examined using energy-dispersive X-ray spectroscopy (EDS), field-emission scanning electron microscope (FE-SEM), and X-ray diffraction (XRD). The XRD data for the AgZn3 phase demonstrate well-crystalline properties with reference pattern JCPDS 00?025-1325. Investigations are conducted into electrochemical research, including the Tafel corrosion test and electrochemical impedance spectroscopy (EIS). The results showed AgZn3 and Zn lower values of Icorr (1 ? 10?5 A cm?2) compared to the Zn (1 ? 10?3) sample, a greater corrosion potential (Ecorr) of ? 0.9�V and ? 0.6�V, respectively, when deposited on MS substrate. For technical and automotive applications, the produced AgZn3 on MS therefore shows the optimum corrosion resistance and hardness surface with compact microstructure. ? The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.
6
Influence of Layering Pattern, Fibre Architecture, and Alkalization on Physical, Mechanical, and Morphological Behaviour of Banana Fibre Epoxy Composites
(Hindawi Limited, 2023)
Gebremaryam G.
;
Shahapurkar K.
;
Chenrayan V.
;
Althoey F.
;
Hadidi H.M.
;
Soudagar M.E.M.
;
Tirth V.
;
Algahtani A.
;
Al-Mughanam T.
;
Alghtani A.H.
;
Murthy H.C.A.
;
58662688000
;
57196344622
;
57197452830
;
57200723320
;
57193068777
;
57194384501
;
24725356900
;
55948151700
;
57194083410
;
57222341045
;
59169076900
In the current investigation, the mechanical properties of epoxy composites reinforced with banana pseudostem fibres, specifically focusing on tensile and impact behaviour, are investigated. The manufacturing process employed the meticulous hand-lay-up technique to fabricate six distinct samples. These samples included various combinations of short and woven banana fibres, treated and untreated, as well as a hybrid configuration involving layers of woven and short fibres. A fixed weight ratio of 60% fibres to 40% epoxy matrix was maintained for consistency. To ensure optimal material integrity, a careful application of resin and hardener in a 10: 1 weight ratio was layered, with each addition of fibre followed by thorough rolling to eliminate any potential bubbles. The density and void fraction of the resulting composites were meticulously assessed to gauge the influence of this layering approach. Additionally, an X-ray diffraction (XRD) analysis was conducted to ascertain the impact of the chemical treatment on the cellulose content of the fibres. Our findings revealed that the tensile and impact properties were notably superior in the woven fibre composites. In particular, the chemically treated woven banana fibre epoxy composite displayed impressive values of 64.95 MPa for tensile strength and 24.37 KJ/m2 for impact strength. To gain deeper insights into the structure-property relationship, test specimens were analyzed using scanning electron micrographs. Lastly, comparative analysis by mapping the tensile properties from our present work with those from existing studies was carried out. � 2023 Gezahgn Gebremaryam et al.
14
Insight into supported single-atom catalysts design for thermocatalytic, electrocatalytic and photocatalytic conversion CO2 to CH4
(Korean Society of Industrial Engineering Chemistry, 2024)
Aziz F.F.A.
;
Timmiati S.N.
;
Samidin S.
;
Fauzi A.A.
;
Wan Isahak W.N.R.
;
Chitraningrum N.
;
Jalil A.A.
;
Zainul Abidin A.F.
;
Salehmin M.N.I.
;
35095088900
;
35186560100
;
56527333900
;
57196024170
;
57225850100
;
35955718800
;
15762576000
;
57202188040
;
55628787200
One of the greenest techniques to mitigate the current issues of global climate and energy crisis is to transform CO2 into value-added chemicals. Recently, catalysts composed of supported isolated metal atoms were fabricated for CO2 conversion to methane. Herein, to offer direction for the logical design of efficient catalysts, this review focused on the development of these catalysts in thermo-, photo- and electro-catalytic reactions of CO2 methanation. In addition, the theoretical study on the structure of single atoms anchored to the supported materials and the mechanism of the designed catalysts towards active species were reviewed to construct effective catalysts for CO2 methanation. The challenges and future prospects on the merits of combining isolated-atom catalysts with their support materials were also addressed. This review not only highlighted the single-atom-based catalyst development but also offered strategies for designing particular catalysts to be utilized in actual industrial applications in CO2 to methane. ? 2024 The Korean Society of Industrial and Engineering Chemistry
7
Machine Learning Algorithm for Malware Detection: Taxonomy, Current Challenges, and Future Directions
(Institute of Electrical and Electronics Engineers Inc., 2023)
Gorment N.Z.
;
Selamat A.
;
Cheng L.K.
;
Krejcar O.
;
57201987388
;
24468984100
;
57188850203
;
14719632500
Malware has emerged as a cyber security threat that continuously changes to target computer systems, smart devices, and extensive networks with the development of information technologies. As a result, malware detection has always been a major worry and a difficult issue, owing to shortcomings in performance accuracy, analysis type, and malware detection approaches that fail to identify unexpected malware attacks. This paper seeks to conduct a thorough systematic literature review (SLR) and offer a taxonomy of machine learning methods for malware detection that considers these problems by analyzing 77 chosen research works related to malware detection using machine learning algorithm. The research investigates malware and machine learning in the context of cybersecurity, including malware detection taxonomy and machine learning algorithm classification into numerous categories. Furthermore, the taxonomy was used to evaluate the most recent machine learning algorithm and analysis. The paper also examines the obstacles and associated concerns encountered in malware detection and potential remedies. Finally, to address the related issues that would motivate researchers in their future work, an empirical study was utilized to assess the performance of several machine learning algorithms. � 2013 IEEE.
17

Browsing by Subject "'current"

Results Per Page

Sort Options