Pub Date : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619426
Nahin Rahman, Argha Sikder, Mashruk Alam
A report on designing and engineering an automated board cleaner has been published in order to incorporate a new advanced mechanism for erasing the board. In previous projects, the mechanism for erasing the board struggled to realize its full potential in terms of reducing erasing time and, as a result, increasing or maximizing lecture length. The explanation for this was that if the lecturer wrote a small word on the paper, the duster would delete the whole board, not just that part. In addition, the process used was inefficient and out of date. These are the areas where we focused to improved. The present demand of the market & customers is always main priority for developing the demand. So, we developed the product using survey analysis, quality function deployment and TOPSIS. Thus, converting customer demand parameters into engineering specifications. After that, product was designed using solid works software implementing those specifications. Then, the product was made according to the design and it was run by using updated technology of CNC based 3D printing mechanism with the help of GRBL software, a universal G code sender
{"title":"Designing and Engineering of Automatic Board Cleaner Using CNC Based Mechanism","authors":"Nahin Rahman, Argha Sikder, Mashruk Alam","doi":"10.1109/ETI4.051663.2021.9619426","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619426","url":null,"abstract":"A report on designing and engineering an automated board cleaner has been published in order to incorporate a new advanced mechanism for erasing the board. In previous projects, the mechanism for erasing the board struggled to realize its full potential in terms of reducing erasing time and, as a result, increasing or maximizing lecture length. The explanation for this was that if the lecturer wrote a small word on the paper, the duster would delete the whole board, not just that part. In addition, the process used was inefficient and out of date. These are the areas where we focused to improved. The present demand of the market & customers is always main priority for developing the demand. So, we developed the product using survey analysis, quality function deployment and TOPSIS. Thus, converting customer demand parameters into engineering specifications. After that, product was designed using solid works software implementing those specifications. Then, the product was made according to the design and it was run by using updated technology of CNC based 3D printing mechanism with the help of GRBL software, a universal G code sender","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128378513","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}
Pub Date : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619195
B. Kirar, Gulrej Ahmed, D. Agrawal
Glaucoma is an incurable eye disease; it destroyed the optic nerve head due to continuing increase in the fluid pressure in the eye. In this paper different image decomposition methods are compared and examined. The proposed work uses mainly three decomposition methods, namely, bi-dimensional empirical mode decomposition (BDEMD), two dimensional empirical wavelet transform (2EWT) and two dimensional variational mode decomposition (2DVMD). Glaucoma and normal images are decomposed by these methods and entropy features are extracted from the decomposed sub band images. The percentage variation in entropy features (PVIEF) are calculated from the extracted entropy features using decomposition method for normal and glaucoma images. The calculated PVIEF are used to compare the three decomposition methods for normal and glaucoma images. The obtained results put forward that the PVIEF extracted from 2DVMD are highest among all the three decomposition methods. Hence, 2DVMD has the highest ability for detection and classification of glaucoma and outperforms over 2DEWT and BDEMD.
青光眼是一种无法治愈的眼病;它破坏了视神经头由于持续增加的液体压力在眼睛里。本文对不同的图像分解方法进行了比较和检验。本文主要采用三种分解方法，即二维经验模态分解(BDEMD)、二维经验小波变换(2EWT)和二维变分模态分解(2DVMD)。利用该方法对青光眼图像和正常图像进行分解，提取分解后的子带图像的熵特征。分别对正常和青光眼图像的熵特征进行分解，计算熵特征变化百分比(percentage variation in entropy features, PVIEF)。利用计算得到的PVIEF对正常和青光眼图像的三种分解方法进行了比较。所得结果表明，在三种分解方法中，2DVMD提取的PVIEF最高。因此，2DVMD对青光眼的检测和分类能力最高，优于2DEWT和BDEMD。
{"title":"Decomposition Methods: A Comparative Analysis using Entropy Feature from Fundus Images","authors":"B. Kirar, Gulrej Ahmed, D. Agrawal","doi":"10.1109/ETI4.051663.2021.9619195","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619195","url":null,"abstract":"Glaucoma is an incurable eye disease; it destroyed the optic nerve head due to continuing increase in the fluid pressure in the eye. In this paper different image decomposition methods are compared and examined. The proposed work uses mainly three decomposition methods, namely, bi-dimensional empirical mode decomposition (BDEMD), two dimensional empirical wavelet transform (2EWT) and two dimensional variational mode decomposition (2DVMD). Glaucoma and normal images are decomposed by these methods and entropy features are extracted from the decomposed sub band images. The percentage variation in entropy features (PVIEF) are calculated from the extracted entropy features using decomposition method for normal and glaucoma images. The calculated PVIEF are used to compare the three decomposition methods for normal and glaucoma images. The obtained results put forward that the PVIEF extracted from 2DVMD are highest among all the three decomposition methods. Hence, 2DVMD has the highest ability for detection and classification of glaucoma and outperforms over 2DEWT and BDEMD.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133014268","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}
Pub Date : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619228
Dighvijay G, Devashish S Vaishnav, Rajasekar Mohan
Presence inspection has been conducted as a matter of course during acceptance/shipment and on production lines. Due to increased factory automation (FA) in recent years, vision systems and image processing technologies have been actively introduced. This paper describes the advantages of using image processing for presence inspection, and the basic principles and practical applications of presence inspection using image processing. This paper demonstrates the use of Faster R-CNN, TensorFlow object detection API, and Computer Vision for the detection of the presence or absence of an industrial part. This solution would present itself as a cost-effective method for the quality assessment phase of a production line in a factory.
{"title":"A Faster R-CNN Implementation of Presence Inspection for Parts on Industrial Produce","authors":"Dighvijay G, Devashish S Vaishnav, Rajasekar Mohan","doi":"10.1109/ETI4.051663.2021.9619228","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619228","url":null,"abstract":"Presence inspection has been conducted as a matter of course during acceptance/shipment and on production lines. Due to increased factory automation (FA) in recent years, vision systems and image processing technologies have been actively introduced. This paper describes the advantages of using image processing for presence inspection, and the basic principles and practical applications of presence inspection using image processing. This paper demonstrates the use of Faster R-CNN, TensorFlow object detection API, and Computer Vision for the detection of the presence or absence of an industrial part. This solution would present itself as a cost-effective method for the quality assessment phase of a production line in a factory.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132015239","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}
Pub Date : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619447
C. Mehta, Vaibhav Kaushik, S. Bhargav
Banks and other financial institutions are the operative engines of the economy. India is witnessing several challenges to trace the fraudulent financial transactions as the fraudsters are now employing innovative methods. In the current scenario, the role of auditors and professionals are important to track down these financial scams and fraud transactions to ensure the transparency and accuracy in the day-to-day auditing activities. This paper investigates the mediating role of artificial intelligence on the perceived usefulness (PU) of the various forensic auditing services (FAS) in tracking down the financial scams and frauds in these sectors. The outcomes of this study might help the auditors and professionals to understand the usefulness of artificial intelligence (AI) in the forensic accounting to track down the fraudulent activities.
{"title":"A Study of the Impact of Internal Control Measures on ease of use of Forensic Audit Mediated by Artificial Intelligence Techniques","authors":"C. Mehta, Vaibhav Kaushik, S. Bhargav","doi":"10.1109/ETI4.051663.2021.9619447","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619447","url":null,"abstract":"Banks and other financial institutions are the operative engines of the economy. India is witnessing several challenges to trace the fraudulent financial transactions as the fraudsters are now employing innovative methods. In the current scenario, the role of auditors and professionals are important to track down these financial scams and fraud transactions to ensure the transparency and accuracy in the day-to-day auditing activities. This paper investigates the mediating role of artificial intelligence on the perceived usefulness (PU) of the various forensic auditing services (FAS) in tracking down the financial scams and frauds in these sectors. The outcomes of this study might help the auditors and professionals to understand the usefulness of artificial intelligence (AI) in the forensic accounting to track down the fraudulent activities.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132079610","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}
Pub Date : 2021-05-19DOI: 10.1109/eti4.051663.2021.9619374
{"title":"eCF Paper ID Details","authors":"","doi":"10.1109/eti4.051663.2021.9619374","DOIUrl":"https://doi.org/10.1109/eti4.051663.2021.9619374","url":null,"abstract":"","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128859008","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}
Pub Date : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619227
B. Kumar, Vibha Jain
The evolution of Information and Communication Technology (ICT) has a massive impact on the growth of distributed systems such as the Internet of Things (IoT), cloud computing, and fog computing. All these technologies are closely coupled, where several IoT devices all together can generate high volume data that need to be processed either on cloud data centers or proximity deployed fog devices depending upon the nature of user application. Though these IoT-fog-cloud systems are very complex to design and implement, hence, to validate the flexibility and scalability of the new design, simulation tools areused. These days several types of fog simulators are available in the market depending upon the need of design, but it is very cumbersome task to select the best suitable tool. In this paper, a comparative study is present among nine available fog simulators which aim to help researchers and practitioners to select appropriate simulators based on their research work.
{"title":"A Comparative Study on Simulation Environment on Fog Computing","authors":"B. Kumar, Vibha Jain","doi":"10.1109/ETI4.051663.2021.9619227","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619227","url":null,"abstract":"The evolution of Information and Communication Technology (ICT) has a massive impact on the growth of distributed systems such as the Internet of Things (IoT), cloud computing, and fog computing. All these technologies are closely coupled, where several IoT devices all together can generate high volume data that need to be processed either on cloud data centers or proximity deployed fog devices depending upon the nature of user application. Though these IoT-fog-cloud systems are very complex to design and implement, hence, to validate the flexibility and scalability of the new design, simulation tools areused. These days several types of fog simulators are available in the market depending upon the need of design, but it is very cumbersome task to select the best suitable tool. In this paper, a comparative study is present among nine available fog simulators which aim to help researchers and practitioners to select appropriate simulators based on their research work.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121114726","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}
Pub Date : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619340
Nikita Malik, Sudipta Majumdar
The gait of a person is often used as a biometric tool to identify or classify a person based on gender and age. Because of its ability to track a person from afar, gait recognition has found use in a variety of fields, including forensics, surveillance, and health monitoring departments. In this paper, two different types of gait datasets have been reported and presented. The FP (First Person) data carrying the camera motion collected from the movement of the volunteer's body and the TP (Third Person) data captured from a distant view were recorded at the same time. A total of 24 subjects (15 males and 9 females) are included in the dataset. The discussion is extended to include a comparison of the results obtained using TP and FP data.
{"title":"Multiview Human Gait Analysis Using the First and Third Person Data","authors":"Nikita Malik, Sudipta Majumdar","doi":"10.1109/ETI4.051663.2021.9619340","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619340","url":null,"abstract":"The gait of a person is often used as a biometric tool to identify or classify a person based on gender and age. Because of its ability to track a person from afar, gait recognition has found use in a variety of fields, including forensics, surveillance, and health monitoring departments. In this paper, two different types of gait datasets have been reported and presented. The FP (First Person) data carrying the camera motion collected from the movement of the volunteer's body and the TP (Third Person) data captured from a distant view were recorded at the same time. A total of 24 subjects (15 males and 9 females) are included in the dataset. The discussion is extended to include a comparison of the results obtained using TP and FP data.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123777113","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}
Pub Date : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619402
B. Rajani, K. Rao, R. Srinivas
This paper discusses about DC voltage stabilization in a DC micro grid with multiple renewable source connected to the system. The sources include solar panels, super capacitor and battery as sources which operate a brushless DC motor for water pumping application. The solar panel source is connected to Zeta converter controlled by voltage oriented control updated with adaptive sliding mode controller for better DC voltage stability. The proposed topology is modeled with conventional and adaptive sliding mode controllers. Both topologies are compared with improvement in parameters of the system using time domain graphs plotted using ‘powergui’ toolbox in MATLAB software.
{"title":"DC Link Voltage Stabilization in Renewable Source Connected DC Micro Grid using Adaptive Sliding mode Controller","authors":"B. Rajani, K. Rao, R. Srinivas","doi":"10.1109/ETI4.051663.2021.9619402","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619402","url":null,"abstract":"This paper discusses about DC voltage stabilization in a DC micro grid with multiple renewable source connected to the system. The sources include solar panels, super capacitor and battery as sources which operate a brushless DC motor for water pumping application. The solar panel source is connected to Zeta converter controlled by voltage oriented control updated with adaptive sliding mode controller for better DC voltage stability. The proposed topology is modeled with conventional and adaptive sliding mode controllers. Both topologies are compared with improvement in parameters of the system using time domain graphs plotted using ‘powergui’ toolbox in MATLAB software.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124975061","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}
Pub Date : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619240
Neelam Agrawal, K. Verma, T. Kumar
Assessment of soil fertility levels is a prerequisite in developing a sustainable and productive agroecosystem. The traditional soil fertility assessment approach is costly in terms of both economy and time. The spatial data can be easily assembled, stored, displayed, and analyzed using the Geographical Information System (GIS). However, it includes finite analytical modeling approaches. Multicriteria Decision Analysis (MCDA) approaches and GIS can be merged in a cooperative framework to address such limitations. In the present study, a web-GIS-based, Multicriteria Decision Support System has been proposed to assess agricultural soil fertility. The proposed framework employs the Analytic Hierarchy Process (AHP) model and various important physicochemical and nutrient contents of soil to ascertain the fertility levels of the different fields in the study area. The proposed framework recommends fertilizer requirements into the categories of low, moderate, and high levels according to the soil fertility levels. The accuracy of 85.2% reveals the effectiveness of the proposed framework.
{"title":"Soil Fertility Assessment using Web-based Spatial Decision Support System","authors":"Neelam Agrawal, K. Verma, T. Kumar","doi":"10.1109/ETI4.051663.2021.9619240","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619240","url":null,"abstract":"Assessment of soil fertility levels is a prerequisite in developing a sustainable and productive agroecosystem. The traditional soil fertility assessment approach is costly in terms of both economy and time. The spatial data can be easily assembled, stored, displayed, and analyzed using the Geographical Information System (GIS). However, it includes finite analytical modeling approaches. Multicriteria Decision Analysis (MCDA) approaches and GIS can be merged in a cooperative framework to address such limitations. In the present study, a web-GIS-based, Multicriteria Decision Support System has been proposed to assess agricultural soil fertility. The proposed framework employs the Analytic Hierarchy Process (AHP) model and various important physicochemical and nutrient contents of soil to ascertain the fertility levels of the different fields in the study area. The proposed framework recommends fertilizer requirements into the categories of low, moderate, and high levels according to the soil fertility levels. The accuracy of 85.2% reveals the effectiveness of the proposed framework.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125187244","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}
Pub Date : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619311
Indresh Yadav, S. Maurya
Solar PV system is one of the leading renewable energy in the world. Due to variable nature of PV power, dc to dc converter plays very important role to transfer the generated power to the load system. Every converter cannot transfer maximum possible power for the given load system. So to select the particular converter for maximum power transfer, load line analysis is one of the important analysis. This paper performs the load line analysis of dc to dc buck, boost and buck-boost converters. It derives the relation between the PV output resistance and load resistance and it also derives the possible range of load impedance for each converter. The impact of maximum power under different loading condition is also tested using boost converter.
{"title":"The Non-Isolated DC to DC Converters for MPPT Controller Based on the Load Line Analysis used for Solar PV Applications","authors":"Indresh Yadav, S. Maurya","doi":"10.1109/ETI4.051663.2021.9619311","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619311","url":null,"abstract":"Solar PV system is one of the leading renewable energy in the world. Due to variable nature of PV power, dc to dc converter plays very important role to transfer the generated power to the load system. Every converter cannot transfer maximum possible power for the given load system. So to select the particular converter for maximum power transfer, load line analysis is one of the important analysis. This paper performs the load line analysis of dc to dc buck, boost and buck-boost converters. It derives the relation between the PV output resistance and load resistance and it also derives the possible range of load impedance for each converter. The impact of maximum power under different loading condition is also tested using boost converter.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122405592","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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