{"title":"Fuzzy Logic-Based Fault Detection in Industrial Production Systems: A Case Study","authors":"Imen Driss, Ines Dafri, Samy Ilyes Zouaoui","doi":"10.56578/jii020201","DOIUrl":"https://doi.org/10.56578/jii020201","url":null,"abstract":"","PeriodicalId":293379,"journal":{"name":"Journal of Industrial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141118381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Numerical Analysis of Two-Phase Flow in Serrated Minichannels Using COMSOL Multiphysics","authors":"Razieh Abbasgholi Rezaei","doi":"10.56578//jii010401","DOIUrl":"https://doi.org/10.56578//jii010401","url":null,"abstract":"","PeriodicalId":293379,"journal":{"name":"Journal of Industrial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139176276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The transition from manufacturing activities to an economy dominated by industrial production signifies the evolution of the Industrial Revolution. Presently, the global landscape is undergoing the Fourth Industrial Revolution, a natural progression from its digital predecessor, Industry 3.0. This era is distinguished by an influx of innovations across global business sectors. Solutions, particularly aiming to enhance industrial production and address volatile consumer demands, have gained paramount importance. These global shifts lead to profound structural transformations in industrial production. With the rapid integration of contemporary technologies in Industry 4.0, coupled with significant technical advancements, the notion of “smart factories” has emerged as a focal point in research, engineering, and practical applications. In the realm of sustainable business operations, the concept of the smart factory is frequently debated. While its intent is the diminution of manual tasks and the enhancement of customer service, it inherently demands the incorporation of various technologies inherent to Industry 4.0. Recognizing the profound impact of Industry 4.0 on production methodologies and the workforce's perspective, emphasis is placed on understanding the pivotal role of advanced technologies within the smart factory paradigm. This abstract seeks to elucidate the core processes in the smart factory concept with a spotlight on refining intralogistics activities through the lens of Industry 4.0 technologies.
{"title":"Advanced Technologies in Smart Factories: A Cornerstone of Industry 4.0","authors":"Svetlana Dabic-Miletic","doi":"10.56578/jii010302","DOIUrl":"https://doi.org/10.56578/jii010302","url":null,"abstract":"The transition from manufacturing activities to an economy dominated by industrial production signifies the evolution of the Industrial Revolution. Presently, the global landscape is undergoing the Fourth Industrial Revolution, a natural progression from its digital predecessor, Industry 3.0. This era is distinguished by an influx of innovations across global business sectors. Solutions, particularly aiming to enhance industrial production and address volatile consumer demands, have gained paramount importance. These global shifts lead to profound structural transformations in industrial production. With the rapid integration of contemporary technologies in Industry 4.0, coupled with significant technical advancements, the notion of “smart factories” has emerged as a focal point in research, engineering, and practical applications. In the realm of sustainable business operations, the concept of the smart factory is frequently debated. While its intent is the diminution of manual tasks and the enhancement of customer service, it inherently demands the incorporation of various technologies inherent to Industry 4.0. Recognizing the profound impact of Industry 4.0 on production methodologies and the workforce's perspective, emphasis is placed on understanding the pivotal role of advanced technologies within the smart factory paradigm. This abstract seeks to elucidate the core processes in the smart factory concept with a spotlight on refining intralogistics activities through the lens of Industry 4.0 technologies.","PeriodicalId":293379,"journal":{"name":"Journal of Industrial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135039635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The pivotal role of suction cup handling systems within various industrial and commercial applications, notably in the lifting and manoeuvring of glass window panels and the secure retention of specimens, is underscored by myriad practical implementations. The present research endeavours to meticulously design and rigorously assess the efficacy of suction cup holding systems, employing Catia design software for the creation of the CAD design and utilising the ANSYS simulation package for structural analysis. Particular attention is accorded to the investigation of the suitability of disparate materials for the suction cup, specifically emphasising Nitrile Butadiene Rubber (NBR) and polyurethane, whilst the plate material undergoes examination utilising a carbon fibre composite. Contrastive assessments, grounded in parameters such as stress, deformation, and equivalent elastic strain, are elucidated for these varied material applications. Preliminary findings indicate that, amid numerous suction cup diameters explored, a 141 mm diameter manifests the lowest equivalent stress (ES), whilst a diameter of 118 mm reveals the maximal ES. A 141 mm diameter emerges as optimal in suction cup design and, to minimise deformation, polyurethane rubber (PR) is identified as the most propitious material. Pertaining to the suction cup body, carbon composite material (CCM) is delineated as the pre-eminent selection, offering an enhancement in the strength-to-weight ratio that is notably superior when compared with a carbon steel suction cup apparatus.
{"title":"Material Impact on Performance of Suction Cups: A Finite Element Analysis","authors":"Obusitswe Makgotla Seretse","doi":"10.56578/jii010304","DOIUrl":"https://doi.org/10.56578/jii010304","url":null,"abstract":"The pivotal role of suction cup handling systems within various industrial and commercial applications, notably in the lifting and manoeuvring of glass window panels and the secure retention of specimens, is underscored by myriad practical implementations. The present research endeavours to meticulously design and rigorously assess the efficacy of suction cup holding systems, employing Catia design software for the creation of the CAD design and utilising the ANSYS simulation package for structural analysis. Particular attention is accorded to the investigation of the suitability of disparate materials for the suction cup, specifically emphasising Nitrile Butadiene Rubber (NBR) and polyurethane, whilst the plate material undergoes examination utilising a carbon fibre composite. Contrastive assessments, grounded in parameters such as stress, deformation, and equivalent elastic strain, are elucidated for these varied material applications. Preliminary findings indicate that, amid numerous suction cup diameters explored, a 141 mm diameter manifests the lowest equivalent stress (ES), whilst a diameter of 118 mm reveals the maximal ES. A 141 mm diameter emerges as optimal in suction cup design and, to minimise deformation, polyurethane rubber (PR) is identified as the most propitious material. Pertaining to the suction cup body, carbon composite material (CCM) is delineated as the pre-eminent selection, offering an enhancement in the strength-to-weight ratio that is notably superior when compared with a carbon steel suction cup apparatus.","PeriodicalId":293379,"journal":{"name":"Journal of Industrial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135041172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Text Readability Evaluation in Higher Education Using CNNs","authors":"Muhammad Zulqarnain, Muhammad Saqlain","doi":"10.56578/jii010305","DOIUrl":"https://doi.org/10.56578/jii010305","url":null,"abstract":"","PeriodicalId":293379,"journal":{"name":"Journal of Industrial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139333900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Microelectromechanical systems (MEMS) have instigated transformative advancements, notably in controlled microdroplet generation, offering applications across diverse industrial sectors. Precise control of fluid quantities at microscales has emerged as pivotal for myriad fields, from microfluidics to biomedical engineering. In this investigation, the impacts of fluid viscosity and surface tension on microdroplet formation were meticulously studied. For this purpose, a microdispenser, actuated piezoelectrically and fitted with an 18-micrometer diameter nozzle, was employed. This setup facilitated precise fluid manipulation, enabling a systematic study of fluid behavior during droplet creation. Three fluids, specifically water, ink, and ethanol, were examined to decipher the influences of their inherent properties on microdroplet generation. Emphasis was laid on both primary and satellite droplets due to their direct implications in industrial applications. Observations revealed that fluids with elevated surface tension and diminished viscosity yielded larger microdroplets. Conversely, fluids manifesting greater surface tension underwent rapid breakup upon ejection, culminating in the genesis of several diminutive droplets. Such findings underscore the intricate relationship between fluid properties and droplet formation dynamics. This newly acquired understanding holds the potential to guide MEMS device design, ensuring the desired droplet size and distribution. Furthermore, these insights are poised to facilitate optimal microdispenser design and judicious fluid selection for applications spanning inkjet printing, microreactors, and drug delivery mechanisms.
{"title":"Numerical Analysis of Viscosity and Surface Tension on Microdroplet Dynamics in Microelectromechanical Systems Applications","authors":"Somaiyeh Alizadeh, Razieh Abbasgholi Rezaei","doi":"10.56578/jii010303","DOIUrl":"https://doi.org/10.56578/jii010303","url":null,"abstract":"Microelectromechanical systems (MEMS) have instigated transformative advancements, notably in controlled microdroplet generation, offering applications across diverse industrial sectors. Precise control of fluid quantities at microscales has emerged as pivotal for myriad fields, from microfluidics to biomedical engineering. In this investigation, the impacts of fluid viscosity and surface tension on microdroplet formation were meticulously studied. For this purpose, a microdispenser, actuated piezoelectrically and fitted with an 18-micrometer diameter nozzle, was employed. This setup facilitated precise fluid manipulation, enabling a systematic study of fluid behavior during droplet creation. Three fluids, specifically water, ink, and ethanol, were examined to decipher the influences of their inherent properties on microdroplet generation. Emphasis was laid on both primary and satellite droplets due to their direct implications in industrial applications. Observations revealed that fluids with elevated surface tension and diminished viscosity yielded larger microdroplets. Conversely, fluids manifesting greater surface tension underwent rapid breakup upon ejection, culminating in the genesis of several diminutive droplets. Such findings underscore the intricate relationship between fluid properties and droplet formation dynamics. This newly acquired understanding holds the potential to guide MEMS device design, ensuring the desired droplet size and distribution. Furthermore, these insights are poised to facilitate optimal microdispenser design and judicious fluid selection for applications spanning inkjet printing, microreactors, and drug delivery mechanisms.","PeriodicalId":293379,"journal":{"name":"Journal of Industrial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135040357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Amid the COVID-19 pandemic, the imperative for alternative biometric attendance systems has arisen. Traditionally, fingerprint and facial recognition have been employed; however, these methods posed challenges in adherence to Standard Operational Procedures (SOPs) set during the pandemic. In response to these limitations, iris detection has been advanced as a superior alternative. This research introduces a novel machine learning approach to iris detection, tailored specifically for educational environments. Addressing the restrictions posed by COVID-19 SOPs, which permitted only 50% of student occupancy, an automated e-attendance mechanism has been proposed. The methodology comprises four distinct phases: initial registration of the student's iris, subsequent identity verification upon institutional entry, evaluation of individual attendance during examinations to assess exam eligibility, and the maintenance of a defaulter list. To validate the efficiency and accuracy of the proposed system, a series of experiments were conducted. Results indicate that the proposed system exhibits remarkable accuracy in comparison to conventional methods. Furthermore, a desktop application was developed to facilitate real-time iris detection.
{"title":"Iris Detection for Attendance Monitoring in Educational Institutes Amidst a Pandemic: A Machine Learning Approach","authors":"Hafiz Burhan Ul Haq, Muhammad Saqlain","doi":"10.56578/jii010301","DOIUrl":"https://doi.org/10.56578/jii010301","url":null,"abstract":"Amid the COVID-19 pandemic, the imperative for alternative biometric attendance systems has arisen. Traditionally, fingerprint and facial recognition have been employed; however, these methods posed challenges in adherence to Standard Operational Procedures (SOPs) set during the pandemic. In response to these limitations, iris detection has been advanced as a superior alternative. This research introduces a novel machine learning approach to iris detection, tailored specifically for educational environments. Addressing the restrictions posed by COVID-19 SOPs, which permitted only 50% of student occupancy, an automated e-attendance mechanism has been proposed. The methodology comprises four distinct phases: initial registration of the student's iris, subsequent identity verification upon institutional entry, evaluation of individual attendance during examinations to assess exam eligibility, and the maintenance of a defaulter list. To validate the efficiency and accuracy of the proposed system, a series of experiments were conducted. Results indicate that the proposed system exhibits remarkable accuracy in comparison to conventional methods. Furthermore, a desktop application was developed to facilitate real-time iris detection.","PeriodicalId":293379,"journal":{"name":"Journal of Industrial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135817734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Stojanović, Jovana Joković, I. Tomasevic, Barbara Simeunovic, Dragoslav Slovic
{"title":"Algorithmic Approach for the Confluence of Lean Methodology and Industry 4.0 Technologies: Challenges, Benefits, and Practical Applications","authors":"D. Stojanović, Jovana Joković, I. Tomasevic, Barbara Simeunovic, Dragoslav Slovic","doi":"10.56578/jii010205","DOIUrl":"https://doi.org/10.56578/jii010205","url":null,"abstract":"","PeriodicalId":293379,"journal":{"name":"Journal of Industrial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125380610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Interval-Valued Picture Fuzzy Uncertain Linguistic Dombi Operators and Their Application in Industrial Fund Selection","authors":"C. Jana, M. Pal","doi":"10.56578/jii010204","DOIUrl":"https://doi.org/10.56578/jii010204","url":null,"abstract":"","PeriodicalId":293379,"journal":{"name":"Journal of Industrial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131575288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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