The aspect of reliability and efficiency of any renewable energy systems arises with an attempt to realize sustainable energy solutions. This paper presents a method that enhances monitoring and control of energy facilities in terms of faults related to current and voltage sensors. This paper adopts an innovative method using Support Vector Machines (SVM) in enhancing detection capabilities for additive and multiplicative incipient current and voltage sensor faults, excluding false alarms caused by internal and external noise, outperforming the previous conventional methods. On the other hand, the results show the performance of SVM, in coming up with early warnings, which proves that it is an effective tool in enhancing predictive maintenance aimed at enhancing the reliability of renewable energy infrastructures. It will therefore underline the significant role of the introduction of advanced data analytics innovations into the renewable energy field, which opens ways toward more proper and reliable energy management.
{"title":"SVM-based approach fault detection for PMSG-wind energy conversion system","authors":"Omar Ramdani , Karim Beddek , Rezki Haddouche , Mohamed Zerrougui , Naziha Chouider","doi":"10.1016/j.jer.2025.01.001","DOIUrl":"10.1016/j.jer.2025.01.001","url":null,"abstract":"<div><div>The aspect of reliability and efficiency of any renewable energy systems arises with an attempt to realize sustainable energy solutions. This paper presents a method that enhances monitoring and control of energy facilities in terms of faults related to current and voltage sensors. This paper adopts an innovative method using Support Vector Machines (SVM) in enhancing detection capabilities for additive and multiplicative incipient current and voltage sensor faults, excluding false alarms caused by internal and external noise, outperforming the previous conventional methods. On the other hand, the results show the performance of SVM, in coming up with early warnings, which proves that it is an effective tool in enhancing predictive maintenance aimed at enhancing the reliability of renewable energy infrastructures. It will therefore underline the significant role of the introduction of advanced data analytics innovations into the renewable energy field, which opens ways toward more proper and reliable energy management.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 4","pages":"Pages 3378-3393"},"PeriodicalIF":2.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145739168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.jer.2025.01.009
Mian Hammad Nazir , Syed Zohaib Javaid Zaidi , Muhammad Majid Hussain , Zulfiqar Ahmad Khan
This research introduces an innovative numerical optimisation framework to improve the thermal efficiency of heat transfer fluids (HTFs) used in solar thermal applications, while also minimising energy consumption required for pumping. The model evaluates the performance of various HTFs and aids in selecting the most suitable fluid based on its properties. Unlike previous approaches, the novelty of this model lies in the combined assessment of corrosion behavior and heat transfer properties of fluids, recognising that system performance depends on both. By optimising key parameters such as thermophysical properties, corrosion effects, Reynolds number, and channel dimensions, the model provides a governing principle for enhancing concentrated solar power systems. Effective optimisation significantly reduces pumping energy and improves fluid efficiency. To validate the model, selected HTFs were simulated, demonstrating its accuracy and applicability for various fluid types.
{"title":"Modelling & development of novel sustainable thermo-fluids to maximise the efficiency of solar thermal applications","authors":"Mian Hammad Nazir , Syed Zohaib Javaid Zaidi , Muhammad Majid Hussain , Zulfiqar Ahmad Khan","doi":"10.1016/j.jer.2025.01.009","DOIUrl":"10.1016/j.jer.2025.01.009","url":null,"abstract":"<div><div>This research introduces an innovative numerical optimisation framework to improve the thermal efficiency of heat transfer fluids (HTFs) used in solar thermal applications, while also minimising energy consumption required for pumping. The model evaluates the performance of various HTFs and aids in selecting the most suitable fluid based on its properties. Unlike previous approaches, the novelty of this model lies in the combined assessment of corrosion behavior and heat transfer properties of fluids, recognising that system performance depends on both. By optimising key parameters such as thermophysical properties, corrosion effects, Reynolds number, and channel dimensions, the model provides a governing principle for enhancing concentrated solar power systems. Effective optimisation significantly reduces pumping energy and improves fluid efficiency. To validate the model, selected HTFs were simulated, demonstrating its accuracy and applicability for various fluid types.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 4","pages":"Pages 3394-3409"},"PeriodicalIF":2.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145739169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.jer.2025.03.007
Leipengyun Deng , Mohd Amran Mohd Radzi , Suhaidi Shafie , Mohd Khair Hassan
Energy management in fuel cell hybrid electric vehicles (FCHEVs) is essential for optimizing the performance of multiple energy sources and ensuring the economic viability of vehicles. Among various approaches, fuzzy logic control (FLC) is widely recognized for its exceptional real-time management capabilities, robustness, and adaptability. To further enhance battery state of charge (SOC) stability and fuel efficiency, this study introduces an optimization strategy utilizing a FLC with state machine approach. The co-simulation results, employing AVL-Cruise for vehicle modeling and Matlab/Simulink for energy management strategy (EMS) modeling, confirm that the FLC-optimized strategy significantly stabilizes SOC fluctuations compared to the power-following control (PFC) and traditional FLC strategies. Under the China Light-duty Vehicle Test Cycle for Passenger Car (CLTC-P), it reduces hydrogen consumption by 4.41 % and 2.81 % relative to PFC and traditional FLC strategies, respectively, while under the World Light Vehicle Test Cycle (WLTC), the reductions are 9.81 % and 1.33 %. Consequently, the proposed FLC-optimized strategy effectively stabilizes the SOC of the battery while improving fuel economy.
{"title":"Optimizing energy management in fuel cell hybrid electric vehicles using fuzzy logic control with state machine approach: Enhancing SOC stability and fuel economy","authors":"Leipengyun Deng , Mohd Amran Mohd Radzi , Suhaidi Shafie , Mohd Khair Hassan","doi":"10.1016/j.jer.2025.03.007","DOIUrl":"10.1016/j.jer.2025.03.007","url":null,"abstract":"<div><div>Energy management in fuel cell hybrid electric vehicles (FCHEVs) is essential for optimizing the performance of multiple energy sources and ensuring the economic viability of vehicles. Among various approaches, fuzzy logic control (FLC) is widely recognized for its exceptional real-time management capabilities, robustness, and adaptability. To further enhance battery state of charge (SOC) stability and fuel efficiency, this study introduces an optimization strategy utilizing a FLC with state machine approach. The co-simulation results, employing AVL-Cruise for vehicle modeling and Matlab/Simulink for energy management strategy (EMS) modeling, confirm that the FLC-optimized strategy significantly stabilizes SOC fluctuations compared to the power-following control (PFC) and traditional FLC strategies. Under the China Light-duty Vehicle Test Cycle for Passenger Car (CLTC-P), it reduces hydrogen consumption by 4.41 % and 2.81 % relative to PFC and traditional FLC strategies, respectively, while under the World Light Vehicle Test Cycle (WLTC), the reductions are 9.81 % and 1.33 %. Consequently, the proposed FLC-optimized strategy effectively stabilizes the SOC of the battery while improving fuel economy.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 4","pages":"Pages 3429-3440"},"PeriodicalIF":2.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145739181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.jer.2024.10.011
Haowei Yan , Yilin Liu , Karthikeyan Kaliyaperumal
This paper presents a comprehensive investigation into optimizing the reverse supply chain for end-of-life vehicles (ELVs) with a focus on sustainability considerations, including awareness cost and carbon penalty. A novel three-objective mathematical model is developed, leveraging fuzzy logic to address the complex nature of the problem. Two multi-objective algorithms, the Grey Wolf Optimizer (GWO) based on the Pareto boundary and the NSGA-II algorithm, are deployed to solve the model. A case study in China is conducted to validate the proposed model, with results compared against the outcomes of the algorithms. Additionally, a sensitivity analysis approach is employed to assess the impact of awareness cost and carbon penalty parameters. Furthermore, the Taguchi experimental design method is utilized to identify the optimal combination of parameter values. The findings reveal that the GWO algorithm surpasses NSGA-II in terms of solution quality and diversity, although NSGA-II demonstrates superior performance in uniformity and computational time. The sensitivity analysis highlights the positive correlation between increased awareness cost and various performance metrics, such as the number of collected vehicles, economic profit, and social profit, while also indicating a reduction in environmental impacts. Conversely, escalating carbon penalties leads to a decrease in the acceptance and processing of vehicles within the supply chain, resulting in diminished chain and social profits, despite the decrease in carbon penalties.
{"title":"Intelligent location-routing for sustainable reverse supply chain of end-of-life vehicles considering awareness cost and carbon penalty","authors":"Haowei Yan , Yilin Liu , Karthikeyan Kaliyaperumal","doi":"10.1016/j.jer.2024.10.011","DOIUrl":"10.1016/j.jer.2024.10.011","url":null,"abstract":"<div><div>This paper presents a comprehensive investigation into optimizing the reverse supply chain for end-of-life vehicles (ELVs) with a focus on sustainability considerations, including awareness cost and carbon penalty. A novel three-objective mathematical model is developed, leveraging fuzzy logic to address the complex nature of the problem. Two multi-objective algorithms, the Grey Wolf Optimizer (GWO) based on the Pareto boundary and the NSGA-II algorithm, are deployed to solve the model. A case study in China is conducted to validate the proposed model, with results compared against the outcomes of the algorithms. Additionally, a sensitivity analysis approach is employed to assess the impact of awareness cost and carbon penalty parameters. Furthermore, the Taguchi experimental design method is utilized to identify the optimal combination of parameter values. The findings reveal that the GWO algorithm surpasses NSGA-II in terms of solution quality and diversity, although NSGA-II demonstrates superior performance in uniformity and computational time. The sensitivity analysis highlights the positive correlation between increased awareness cost and various performance metrics, such as the number of collected vehicles, economic profit, and social profit, while also indicating a reduction in environmental impacts. Conversely, escalating carbon penalties leads to a decrease in the acceptance and processing of vehicles within the supply chain, resulting in diminished chain and social profits, despite the decrease in carbon penalties.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 4","pages":"Pages 3460-3472"},"PeriodicalIF":2.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145739183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.jer.2024.12.004
Loulwah Aljouhar , Mohammad Alsager Alzayed
Over the past decade, human factors research has seen a significant surge in the discussion of musculoskeletal disorders (MSDs), particularly in educational contexts among undergraduate students. While prior research examined musculoskeletal disorders' prevalence among undergraduate students globally, little is known about the prevalence of musculoskeletal disorders among undergraduate students in Kuwait and the role of different risk factors in the development of MSDs. Thus, the main goal of this study was to establish a baseline prevalence of MSDs and the student-related risk factors associated with the discomfort intensity and frequency of severe MSDs’ body parts among undergraduate students at Kuwait University. In order to achieve this objective, a cross-sectional study was conducted with 373 engineering students, where the prevalence of MSDs was assessed using the Student Specific Cornell Musculoskeletal Discomfort Questionnaire (SS-CMSQ). Ordinal logistic regression was employed with a significance level of 0.05. The main findings from this study highlighted that MSDs occurred most in the neck (80.7 %), lower back (71.3 %) and upper back (64.6 %) regions. The risk factors associated with the frequency and intensity of musculoskeletal discomfort include being female, taller height, higher BMI levels, extended academic activity duration, being in a higher academic year, and experiencing sleeplessness. This study provides a fundamental comprehension of MSDs' prevalence and shows the significance of numerous risk factors, revealing the path for future research aimed at lowering MSDs' prevalence amongst engineering students in Kuwait.
{"title":"Musculoskeletal disorders amongst undergraduate engineering students at Kuwait University","authors":"Loulwah Aljouhar , Mohammad Alsager Alzayed","doi":"10.1016/j.jer.2024.12.004","DOIUrl":"10.1016/j.jer.2024.12.004","url":null,"abstract":"<div><div>Over the past decade, human factors research has seen a significant surge in the discussion of musculoskeletal disorders (MSDs), particularly in educational contexts among undergraduate students. While prior research examined musculoskeletal disorders' prevalence among undergraduate students globally, little is known about the prevalence of musculoskeletal disorders among undergraduate students in Kuwait and the role of different risk factors in the development of MSDs. Thus, the main goal of this study was to establish a baseline prevalence of MSDs and the student-related risk factors associated with the discomfort intensity and frequency of severe MSDs’ body parts among undergraduate students at Kuwait University. In order to achieve this objective, a cross-sectional study was conducted with 373 engineering students, where the prevalence of MSDs was assessed using the Student Specific Cornell Musculoskeletal Discomfort Questionnaire (SS-CMSQ). Ordinal logistic regression was employed with a significance level of 0.05. The main findings from this study highlighted that MSDs occurred most in the neck (80.7 %), lower back (71.3 %) and upper back (64.6 %) regions. The risk factors associated with the frequency and intensity of musculoskeletal discomfort include being female, taller height, higher BMI levels, extended academic activity duration, being in a higher academic year, and experiencing sleeplessness. This study provides a fundamental comprehension of MSDs' prevalence and shows the significance of numerous risk factors, revealing the path for future research aimed at lowering MSDs' prevalence amongst engineering students in Kuwait.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 4","pages":"Pages 3494-3505"},"PeriodicalIF":2.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145739186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This numerical study conducts a comparative analysis of various phase change materials (PCMs) including Lauric Acid, Paraffin, RT 24, RT 31, RT 35, RT 38, RT 42, RT 47, RT 50, and Lithium Nitrate Trihydrate (LiNO3.3H2O) to assess their suitability for optimizing the thermal management of a solar concentrator photovoltaic (CPV) system. The analysis focuses on the temperature regulation capabilities, melting dynamics of the used PCMs, along the electrical efficiency of the CPV system across a range of inclination angles (0°, 15°, 30°, 45°, 60°, 75°, and 90°) under a constant heat flux of 1000 W/m². The research aims to identify the most effective solutions for enhancing the efficiency and reliability of solar concentrator systems. Key considerations such as PCM’s flash points, liquid fraction and convective behavior are addressed for each PCM type. Numerical results obtained using ANSYS Fluent indicate that Lithium Nitrate Trihydrate (LiNO3.3H2O) outperformed most paraffin-based PCMs, such as RT 24 and RT 35, with around 24 % higher electrical efficiency. Although Lauric Acid was approximately 19.5 % less efficient than Lithium Nitrate Trihydrate, it offered superior long-term thermal stability due to its slower melting rate and phase change temperature of 43–44°C, taking 45.33 % longer to melt compared to Paraffin RT 24. RT 50, with its higher melting temperature of 50°C, provided a balance between melting period and efficiency, making it an ideal PCM for applications requiring both moderate efficiency and sustained thermal regulation.
{"title":"Thermal performance and flash point analyses of concentrator photovoltaic (CPV) system using multiple types of PCMs and various panel inclination angles under the effect of a constant heat flux","authors":"Chahrazed Boucetta , Atef Chibani , Nacer Hebbir , Slimane Merouani , Mohammed Amin Nassim Haddad , Riad Badji","doi":"10.1016/j.jer.2024.09.018","DOIUrl":"10.1016/j.jer.2024.09.018","url":null,"abstract":"<div><div>This numerical study conducts a comparative analysis of various phase change materials (PCMs) including Lauric Acid, Paraffin, RT 24, RT 31, RT 35, RT 38, RT 42, RT 47, RT 50, and Lithium Nitrate Trihydrate (LiNO<sub>3</sub>.3H<sub>2</sub>O) to assess their suitability for optimizing the thermal management of a solar concentrator photovoltaic (CPV) system. The analysis focuses on the temperature regulation capabilities, melting dynamics of the used PCMs, along the electrical efficiency of the CPV system across a range of inclination angles (0°, 15°, 30°, 45°, 60°, 75°, and 90°) under a constant heat flux of 1000 W/m². The research aims to identify the most effective solutions for enhancing the efficiency and reliability of solar concentrator systems. Key considerations such as PCM’s flash points, liquid fraction and convective behavior are addressed for each PCM type. Numerical results obtained using ANSYS Fluent indicate that Lithium Nitrate Trihydrate (LiNO<sub>3</sub>.3H<sub>2</sub>O) outperformed most paraffin-based PCMs, such as RT 24 and RT 35, with around 24 % higher electrical efficiency. Although Lauric Acid was approximately 19.5 % less efficient than Lithium Nitrate Trihydrate, it offered superior long-term thermal stability due to its slower melting rate and phase change temperature of 43–44°C, taking 45.33 % longer to melt compared to Paraffin RT 24. RT 50, with its higher melting temperature of 50°C, provided a balance between melting period and efficiency, making it an ideal PCM for applications requiring both moderate efficiency and sustained thermal regulation.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 4","pages":"Pages 3619-3640"},"PeriodicalIF":2.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145739131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.jer.2024.11.001
Sameh A. Hussein , Anas A.M. Arafa , Nouf Alshehry , Sameh E. Ahmed
This paper discusses the time-dependent mixed convection flow of nanofluids (Al2O3-water) due to a stagnation-point over a rotating sphere in the presence of motile microorganisms. The suspension is considered to be electro-conducting and Joule heating impacts are not neglected. Exponential behaviors are considered for the included heat generation and chemical reaction influences. Besides, the non-linear radiation flux takes place in the flow area. Computational analyses are introduced for the problem formulations after converting them to similar forms. From the major results, the exponential heat generation enhances the temperature distributions while the exponential behaviors of the chemical reaction have negative influences on the nanoparticle concentration. Also, the skin friction coefficients in and directions get higher values when the rotational and the mixed convection parameters are rising. Further, the thermal scenario diminishes with increasing nanoparticle diameter, however the thermal radiation factor and the ratio between the liquid and the nanolayer conductivity significantly enhance the thermal characteristics of the water-based Al2O3 nanofluid. The findings offer practical information that might be applied to improve system performance in a number of fields, which could involve fluid mechanics, pharmaceutical technology, and thermal management, among others.
{"title":"Bioconvection across a revolving sphere under the influence of bilateral chemical reactions with temperature- and space- dependent heat generation","authors":"Sameh A. Hussein , Anas A.M. Arafa , Nouf Alshehry , Sameh E. Ahmed","doi":"10.1016/j.jer.2024.11.001","DOIUrl":"10.1016/j.jer.2024.11.001","url":null,"abstract":"<div><div>This paper discusses the time-dependent mixed convection flow of nanofluids (Al<sub>2</sub>O<sub>3</sub>-water) due to a stagnation-point over a rotating sphere in the presence of motile microorganisms. The suspension is considered to be electro-conducting and Joule heating impacts are not neglected. Exponential behaviors are considered for the included heat generation and chemical reaction influences. Besides, the non-linear radiation flux takes place in the flow area. Computational analyses are introduced for the problem formulations after converting them to similar forms. From the major results, the exponential heat generation enhances the temperature distributions while the exponential behaviors of the chemical reaction have negative influences on the nanoparticle concentration. Also, the skin friction coefficients in <span><math><mrow><mi>x</mi><mo>−</mo></mrow></math></span> and <span><math><mrow><mi>z</mi><mo>−</mo></mrow></math></span>directions get higher values when the rotational and the mixed convection parameters are rising. Further, the thermal scenario diminishes with increasing nanoparticle diameter, however the thermal radiation factor and the ratio between the liquid and the nanolayer conductivity significantly enhance the thermal characteristics of the water-based Al<sub>2</sub>O<sub>3</sub> nanofluid. The findings offer practical information that might be applied to improve system performance in a number of fields, which could involve fluid mechanics, pharmaceutical technology, and thermal management, among others.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 4","pages":"Pages 3703-3717"},"PeriodicalIF":2.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145739137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.jer.2025.01.007
A.M. Mutawa , Korupalli V. Rajesh Kumar , Hemachandran K , M. Murugappan
This research develops an artificial intelligence-based model to predict the next deceptive movement of athletes by analyzing video sequences of previous movements. Utilizing advanced deep neural network models, we analyze deceptive movements to forecast the next move, with a practical application on the deceptive movements of a professional cricket player. The model employs machine learning techniques such as Random Forest (RF), Decision Trees (DT), and K-Nearest Neighbor (KNN) to enhance prediction accuracy. Achieving up to 70 % accuracy, this model rivals human capability, as even highly skilled players can easily fall for deceptive actions. The ability to predict deceptive movements sets humans apart from many intelligent creatures, allowing athletes to avoid predictable actions and gain an edge in various sports. This study applies this concept to cricket, leveraging video data to improve training methods. The results highlight the potential of artificial intelligence in revolutionizing training and performance optimization in sports.
{"title":"Using artificial intelligence to predict the next deceptive movement based on video sequence analysis: A case study on a professional cricket player's movements","authors":"A.M. Mutawa , Korupalli V. Rajesh Kumar , Hemachandran K , M. Murugappan","doi":"10.1016/j.jer.2025.01.007","DOIUrl":"10.1016/j.jer.2025.01.007","url":null,"abstract":"<div><div>This research develops an artificial intelligence-based model to predict the next deceptive movement of athletes by analyzing video sequences of previous movements. Utilizing advanced deep neural network models, we analyze deceptive movements to forecast the next move, with a practical application on the deceptive movements of a professional cricket player. The model employs machine learning techniques such as Random Forest (RF), Decision Trees (DT), and K-Nearest Neighbor (KNN) to enhance prediction accuracy. Achieving up to 70 % accuracy, this model rivals human capability, as even highly skilled players can easily fall for deceptive actions. The ability to predict deceptive movements sets humans apart from many intelligent creatures, allowing athletes to avoid predictable actions and gain an edge in various sports. This study applies this concept to cricket, leveraging video data to improve training methods. The results highlight the potential of artificial intelligence in revolutionizing training and performance optimization in sports.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 4","pages":"Pages 3176-3190"},"PeriodicalIF":2.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145739322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-01DOI: 10.1016/j.jer.2024.07.012
Lingxia Zhu , Hao Wu , Jianjun Cai , Rigang Zhong , Siyang Chen , Hong Liu
Incineration is a main way to dispose the municipal solid waste (MSW) in China, but municipal solid waste incineration (MSWI) fly ash will negatively impact the environment and human health as containing high content of heavy metals. This study aimed to investigate the influence of the pre-addition of dry/semi-dry slaked lime during the purification of flue gas on the subsequent chelation and solidification treatment of fly ash. This study has found that semi-dry slaked lime had more effect on the solidification rate of heavy metals in MSWI fly ash compared to the pre-addition of the dry slaked lime. As the dosage of semi-dry slaked lime increased, the solidification rate of Zn and Ba increased to 100 %, while the solidification rate of Cr decreased to as low as 0 %. However, the effect of the dosage of semi-dry slaked lime on the other heavy metals (Cu, Pb, Cd, Ni) showed a complex trend. This study underscores the importance of the pre-addition of slaked lime during the purification of flue gas in influencing subsequent chelation and solidification treatment of MSWI fly ash. It provides valuable insights into optimizing lime dosage to enhance heavy metal stabilization, contributing to more effective and sustainable waste management practices.
{"title":"The influence of the pre-addition of semi-dry and dry slaked lime during the purification of flue gas on the subsequent chelation and solidification treatment of MSWI fly ash","authors":"Lingxia Zhu , Hao Wu , Jianjun Cai , Rigang Zhong , Siyang Chen , Hong Liu","doi":"10.1016/j.jer.2024.07.012","DOIUrl":"10.1016/j.jer.2024.07.012","url":null,"abstract":"<div><div>Incineration is a main way to dispose the municipal solid waste (MSW) in China, but municipal solid waste incineration (MSWI) fly ash will negatively impact the environment and human health as containing high content of heavy metals. This study aimed to investigate the influence of the pre-addition of dry/semi-dry slaked lime during the purification of flue gas on the subsequent chelation and solidification treatment of fly ash. This study has found that semi-dry slaked lime had more effect on the solidification rate of heavy metals in MSWI fly ash compared to the pre-addition of the dry slaked lime. As the dosage of semi-dry slaked lime increased, the solidification rate of Zn and Ba increased to 100 %, while the solidification rate of Cr decreased to as low as 0 %. However, the effect of the dosage of semi-dry slaked lime on the other heavy metals (Cu, Pb, Cd, Ni) showed a complex trend. This study underscores the importance of the pre-addition of slaked lime during the purification of flue gas in influencing subsequent chelation and solidification treatment of MSWI fly ash. It provides valuable insights into optimizing lime dosage to enhance heavy metal stabilization, contributing to more effective and sustainable waste management practices.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 3","pages":"Pages 2445-2452"},"PeriodicalIF":2.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141840103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The deployment and development of wave energy systems to increase energy sector efficiency is essential for governments. To develop and maximize the exploitation of wave energy sources, applying appropriate technologies is extremely important. The design of decision-making tools to identify the best technology for developing energy resources optimally is one of the primary decision-making issues in the energy sector. In this article, we have proposed a Multi-Criteria Decision Making (MCDM) model to select suitable technologies among eleven wave energy harvesting technologies: OPT PowerBuoy, AquaBuoy, Archimedes Wave Swing, Salter’s Duck, Aquamarine PowerOyster, Bio Wave, SEAREV, Weptos, Mighty Whale, Wave dragon. To handle conflicting objectives during evaluation, the Fuzzy AHP method is used to calculate the weight of the criteria. Then, wave energy harvesting technology is ranked using the Fuzzy TOPSIS approach. An actual case study from Australia was examined in order to show the viability of the suggested decision-making methodology. This study applies a valuable reference to the issue of wave technology selection; Therefore, managers involved in wave energy can use the problem-solving approach in this study to identify the most suitable wave energy technology based on their criteria. Research results show that the most suitable technologies for optimal development of wave energy sources in Australia are WET-05 and WET-03 with coefficients of 0.852 and 0.806, respectively. Meanwhile, two technologies considered unsuitable for developing wave energy sources in this study are WET-06 and WET-11 with scores of 0.375 and 0.381, respectively. In this study, the combined application of the two FAHP-FTOPSIS methods is considered more appropriate because of its theoretical ease of understanding as well as the simplicity of application and robustness of the results.
{"title":"A study of appropriate wave energy technology for sustainable development in Australia","authors":"Chia-Nan Wang, Thuy-Duong Thi Pham, Dinh-Binh Nguyen","doi":"10.1016/j.jer.2024.07.002","DOIUrl":"10.1016/j.jer.2024.07.002","url":null,"abstract":"<div><div>The deployment and development of wave energy systems to increase energy sector efficiency is essential for governments. To develop and maximize the exploitation of wave energy sources, applying appropriate technologies is extremely important. The design of decision-making tools to identify the best technology for developing energy resources optimally is one of the primary decision-making issues in the energy sector. In this article, we have proposed a Multi-Criteria Decision Making (MCDM) model to select suitable technologies among eleven wave energy harvesting technologies: OPT PowerBuoy, AquaBuoy, Archimedes Wave Swing, Salter’s Duck, Aquamarine PowerOyster, Bio Wave, SEAREV, Weptos, Mighty Whale, Wave dragon. To handle conflicting objectives during evaluation, the Fuzzy AHP method is used to calculate the weight of the criteria. Then, wave energy harvesting technology is ranked using the Fuzzy TOPSIS approach. An actual case study from Australia was examined in order to show the viability of the suggested decision-making methodology. This study applies a valuable reference to the issue of wave technology selection; Therefore, managers involved in wave energy can use the problem-solving approach in this study to identify the most suitable wave energy technology based on their criteria. Research results show that the most suitable technologies for optimal development of wave energy sources in Australia are WET-05 and WET-03 with coefficients of 0.852 and 0.806, respectively. Meanwhile, two technologies considered unsuitable for developing wave energy sources in this study are WET-06 and WET-11 with scores of 0.375 and 0.381, respectively. In this study, the combined application of the two FAHP-FTOPSIS methods is considered more appropriate because of its theoretical ease of understanding as well as the simplicity of application and robustness of the results.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 3","pages":"Pages 2589-2602"},"PeriodicalIF":2.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141840542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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