Pub Date : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619354
Rameez R. Chowdhary, M. K. Chattopadhyay
The paper presents a model for Automated Guided Vehicle (AGV) like mobile Robots (RBs). The model is based on our Orchestrated approach. RB uses this model to perform a transportation task in environments such as a warehouse or a factory. The RB utilises D* Lite algorithm for path trajectory generation and implements our proposed modified extended navigation (ENG) algorithm to follow the path trajectory. Additionally, ENG algorithm helps RBs to avoid collisions during transportation between start and end point. We have improved the efficiency, consistency and capability of ENG algorithm by adding new method. The RB employs sensor data-fusion technique. The technique helps in reducing the position error during transportation. Our algorithm also helps the RBs to avoid the deadlock situation and make the model fault-tolerant. The performance of model has been validated with the help of new experiments. The Orchestration of Robotic Platform (ORP) with four robots is used to perform the experiments.
{"title":"Orchestration of Automated Guided Mobile Robots for Transportation Task in a Warehouse like Environment","authors":"Rameez R. Chowdhary, M. K. Chattopadhyay","doi":"10.1109/ETI4.051663.2021.9619354","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619354","url":null,"abstract":"The paper presents a model for Automated Guided Vehicle (AGV) like mobile Robots (RBs). The model is based on our Orchestrated approach. RB uses this model to perform a transportation task in environments such as a warehouse or a factory. The RB utilises D* Lite algorithm for path trajectory generation and implements our proposed modified extended navigation (ENG) algorithm to follow the path trajectory. Additionally, ENG algorithm helps RBs to avoid collisions during transportation between start and end point. We have improved the efficiency, consistency and capability of ENG algorithm by adding new method. The RB employs sensor data-fusion technique. The technique helps in reducing the position error during transportation. Our algorithm also helps the RBs to avoid the deadlock situation and make the model fault-tolerant. The performance of model has been validated with the help of new experiments. The Orchestration of Robotic Platform (ORP) with four robots is used to perform the experiments.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"21 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":"133544129","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/ETI4.051663.2021.9619298
Devipriya G P, G. V., S. K. Nair
An unequal arm interferometer beyond the coherence length of laser diode led to the development of laser instrumentation which is studied theoretically and experimentally in this paper. By using a low-cost diode laser having 650 nm wavelength and short coherence length, a modified Michelson’s interferometer is constructed for the measurements of various physical parameters for long distance measurements. The coherence length is not an abrupt distance. Beyond the coherence length the fringe contrast reduces gradually and becomes indistinguishable. Using better detection techniques, the fringe visibility can be improved to a greater extend. This paper further investigates the other applications of lasers beyond the coherence length.
{"title":"Study on the Development of Laser Instrumentation Beyond the Coherence Length of Laser Diode","authors":"Devipriya G P, G. V., S. K. Nair","doi":"10.1109/ETI4.051663.2021.9619298","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619298","url":null,"abstract":"An unequal arm interferometer beyond the coherence length of laser diode led to the development of laser instrumentation which is studied theoretically and experimentally in this paper. By using a low-cost diode laser having 650 nm wavelength and short coherence length, a modified Michelson’s interferometer is constructed for the measurements of various physical parameters for long distance measurements. The coherence length is not an abrupt distance. Beyond the coherence length the fringe contrast reduces gradually and becomes indistinguishable. Using better detection techniques, the fringe visibility can be improved to a greater extend. This paper further investigates the other applications of lasers beyond the coherence length.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"96 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":"133902070","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/ETI4.051663.2021.9619334
Jagadishwari V
The year 2020 began with the outbreak of covid-19 Pandemic, it originated in China and very quickly spread to all the other parts of the world. The deadly virus badly affected the health and economy of Mankind. This work aims to build Machine learning models to predict the spread of Covid -19. The up to date Time series data set of Covid 19 is used in the analytics. Three prediction models namely Regression, SVM and FBProphet are implemented. The results obtained from these models are investigated. FBProphet gives promising results as compared to the other models. The trend and seasonality components of FBProphet are shown to be very useful in the analysis of Time Series Data.
{"title":"Time series Covid 19 Predictions with Machine Learning Models","authors":"Jagadishwari V","doi":"10.1109/ETI4.051663.2021.9619334","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619334","url":null,"abstract":"The year 2020 began with the outbreak of covid-19 Pandemic, it originated in China and very quickly spread to all the other parts of the world. The deadly virus badly affected the health and economy of Mankind. This work aims to build Machine learning models to predict the spread of Covid -19. The up to date Time series data set of Covid 19 is used in the analytics. Three prediction models namely Regression, SVM and FBProphet are implemented. The results obtained from these models are investigated. FBProphet gives promising results as compared to the other models. The trend and seasonality components of FBProphet are shown to be very useful in the analysis of Time Series Data.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"7 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":"133968000","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/ETI4.051663.2021.9619323
D. J. Krishna Kishore, Maher Rashad Mohamed, K. Sudhakar, S. Jewaliddin, K. Peddakapu, P. S. Rao
Photo-voltaic (PV) is one of the most abundant sources on the earth for the generation of electricity. Although, due to the stochastic nature of PV characteristics to sustain constant power, an accurate PV power prediction is needed for a grid-connected PV system. The proposed model of support vector machine (SVM) with improved dragonfly algorithm(IDA) is used to forecast the PV power. Previously, Theexecution can be done by dragonfly algorithm (DA) through adaptive learning factor along with the differential evolution technique. The IDA is used to select the best support vector machine parameters. Eventually, the suggested model provides better performance as compared to the other algorithm such as SVM with dragonfly algorithm(SVM-DA). It is suitable for forecasting ultra-short-term PV power.
{"title":"Ultra-Short-term PV Power Forecasting Based on a Support Vector Machine with Improved Dragonfly Algorithm","authors":"D. J. Krishna Kishore, Maher Rashad Mohamed, K. Sudhakar, S. Jewaliddin, K. Peddakapu, P. S. Rao","doi":"10.1109/ETI4.051663.2021.9619323","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619323","url":null,"abstract":"Photo-voltaic (PV) is one of the most abundant sources on the earth for the generation of electricity. Although, due to the stochastic nature of PV characteristics to sustain constant power, an accurate PV power prediction is needed for a grid-connected PV system. The proposed model of support vector machine (SVM) with improved dragonfly algorithm(IDA) is used to forecast the PV power. Previously, Theexecution can be done by dragonfly algorithm (DA) through adaptive learning factor along with the differential evolution technique. The IDA is used to select the best support vector machine parameters. Eventually, the suggested model provides better performance as compared to the other algorithm such as SVM with dragonfly algorithm(SVM-DA). It is suitable for forecasting ultra-short-term PV power.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"38 3 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":"115637404","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/ETI4.051663.2021.9619295
Yahye Omar, S. B. Goyal, Vijayakumar Varadarajan
The world is only beginning to see the value and potential impact of the internet of things (IoT). Until recently, access to the internet was bounded via desktop, tablet, or smartphone. With the (IoT), practically all devices and objects can be connected to the internet and monitored remotely. IoT devices simplify our lives and make organizations more efficient; however, there are still challenges to address, particularly in the security context. As we continue to embed these connected objects and a wider variety of wireless devices, it is mandatory to provide confidence in this vast incoming information source. Blockchain has emerged as a disruptive technology that will transform the way we store, share information, and impose restrictions to know the authentications. The data distribution and robust level of encryption will remove the need for trust among the involved parties and add another security layer for IoT data. IoT devices generate too much data using sensors and stored, processed, accessed the same using cloud computing and achieve security some extend using big-data. Big-data security mechanism is not sufficient to meet the security requirements of IoT devices. We have proposed the Blockchain encryption mechanism using different layers architecture for the IoT devices to achieve the desired security level. In this paper, we have focused on how Blockchain could possibly improve IoT security. We also survey the most relevant work to investigate challenges associate with IoT Blockchain convergence. This proposed mechanism will achieve the security mechanism in IoT devices some extend.
{"title":"Apply Blockchain Technology for Security of IoT Devices","authors":"Yahye Omar, S. B. Goyal, Vijayakumar Varadarajan","doi":"10.1109/ETI4.051663.2021.9619295","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619295","url":null,"abstract":"The world is only beginning to see the value and potential impact of the internet of things (IoT). Until recently, access to the internet was bounded via desktop, tablet, or smartphone. With the (IoT), practically all devices and objects can be connected to the internet and monitored remotely. IoT devices simplify our lives and make organizations more efficient; however, there are still challenges to address, particularly in the security context. As we continue to embed these connected objects and a wider variety of wireless devices, it is mandatory to provide confidence in this vast incoming information source. Blockchain has emerged as a disruptive technology that will transform the way we store, share information, and impose restrictions to know the authentications. The data distribution and robust level of encryption will remove the need for trust among the involved parties and add another security layer for IoT data. IoT devices generate too much data using sensors and stored, processed, accessed the same using cloud computing and achieve security some extend using big-data. Big-data security mechanism is not sufficient to meet the security requirements of IoT devices. We have proposed the Blockchain encryption mechanism using different layers architecture for the IoT devices to achieve the desired security level. In this paper, we have focused on how Blockchain could possibly improve IoT security. We also survey the most relevant work to investigate challenges associate with IoT Blockchain convergence. This proposed mechanism will achieve the security mechanism in IoT devices some extend.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"87 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":"114404282","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/ETI4.051663.2021.9619427
G. Buddhawar, K. Jariwala, C. Chattopadhyay
Optical character recognition in the video document or videos from is a challenging task because flipping in the unconstrained environment and at any speed can cause difficulties specially in selecting a frame that contains the required image (OBI) for readability. In this paper, we stress on the problem of recognizing the readable and whole frame by selecting the frames with optical flow. Fundamentally, optical flow is used here for segmentation of the required area from the frame. Due to the unavailability of such a dataset, we have also created a dataset of video document containing book-flipping videos. Experiments are executed on the sample video documents recorded using mobile camera. The use of optical flow on video document gives proper track of motion as it detects the boundary of the document. Here in this case a normal Indian publication textbook is used. The need to develop this technique is to help various educational reforms in Indian universities related to paper evaluation. A light-weight model and accurate results makes this technique is cost-efficient and sustainable.
{"title":"Some Aspects of Text Recognition from Video Document in Education 4.0","authors":"G. Buddhawar, K. Jariwala, C. Chattopadhyay","doi":"10.1109/ETI4.051663.2021.9619427","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619427","url":null,"abstract":"Optical character recognition in the video document or videos from is a challenging task because flipping in the unconstrained environment and at any speed can cause difficulties specially in selecting a frame that contains the required image (OBI) for readability. In this paper, we stress on the problem of recognizing the readable and whole frame by selecting the frames with optical flow. Fundamentally, optical flow is used here for segmentation of the required area from the frame. Due to the unavailability of such a dataset, we have also created a dataset of video document containing book-flipping videos. Experiments are executed on the sample video documents recorded using mobile camera. The use of optical flow on video document gives proper track of motion as it detects the boundary of the document. Here in this case a normal Indian publication textbook is used. The need to develop this technique is to help various educational reforms in Indian universities related to paper evaluation. A light-weight model and accurate results makes this technique is cost-efficient and sustainable.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"4 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":"114877883","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/ETI4.051663.2021.9619371
Deeptimayee Dash, R. Gautam, Rohan Chauhan, Raghav C Dwivedi, Pushpendra Singh
In this paper, A Bragg Reflector with a defect layer in the middle is designed and analysed. Reflectance of the structure is evaluated by Transfer Matrix Method (TMM). The bandgap of the Bragg reflector is found to benear IR region (760 nm – 940 nm) with bandgap width of ∆λ = 180 nm. By increasing the width of defect layer resonating wavelength get shifted to new wavelength. Graph is plotted between the defect layer and the resonating wavelength. The simulation is performed by means of the software tool COMSOL. By comparing the measured results with the reported evidence, the accuracy of the measurement is checked.
{"title":"Design and Analysis of 1D Photonic Crystal Cavity","authors":"Deeptimayee Dash, R. Gautam, Rohan Chauhan, Raghav C Dwivedi, Pushpendra Singh","doi":"10.1109/ETI4.051663.2021.9619371","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619371","url":null,"abstract":"In this paper, A Bragg Reflector with a defect layer in the middle is designed and analysed. Reflectance of the structure is evaluated by Transfer Matrix Method (TMM). The bandgap of the Bragg reflector is found to benear IR region (760 nm – 940 nm) with bandgap width of ∆λ = 180 nm. By increasing the width of defect layer resonating wavelength get shifted to new wavelength. Graph is plotted between the defect layer and the resonating wavelength. The simulation is performed by means of the software tool COMSOL. By comparing the measured results with the reported evidence, the accuracy of the measurement is checked.","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":"121289213","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/ETI4.051663.2021.9619238
Sai Kumar T S, Prabalakshmi A, A. K, S. Alagammal
Recently, many Deep Learning architectures have been employed in the identification and classification of a wide variety of plants. This research mainly focuses on classifying the medicinal plants that are available in rural areas. To do so, six well-known pre-trained Convolutional Neural Networks (CNN) namely Dense121, InceptionV3, VGG16, Xception, VGG19, and MobileNet, that were trained for the ImageNet dataset, were chosen by implementing Transfer Learning concept. These models were examined with their pre-trained weights for the Rural Medicinal Plant (RMP) dataset that was created using 8 different classes of medicinal plants that sum up to a total of 16000 images. The performance of these models was improved by training through two state-of-the-art Deep Learning optimizers namely, Stochastic Gradient Descent (SGD) and Adam. These models were trained using Keras with a TensorFlow backend. A comparative evaluation was made for these models to identify the model that attains the best classification. The research concluded that for RMP dataset, the MobileNet architecture, in which the training performance was improved with the SGD optimizer is the best suited model to classify medicinal plants and thus proves the novelty of this research. Therefore, the proposed model can be used by traditional medicine practitioners for the identification and classification of medicinal plants.
{"title":"A Comparative Study on Plant Classification Performance using Deep Learning Optimizers","authors":"Sai Kumar T S, Prabalakshmi A, A. K, S. Alagammal","doi":"10.1109/ETI4.051663.2021.9619238","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619238","url":null,"abstract":"Recently, many Deep Learning architectures have been employed in the identification and classification of a wide variety of plants. This research mainly focuses on classifying the medicinal plants that are available in rural areas. To do so, six well-known pre-trained Convolutional Neural Networks (CNN) namely Dense121, InceptionV3, VGG16, Xception, VGG19, and MobileNet, that were trained for the ImageNet dataset, were chosen by implementing Transfer Learning concept. These models were examined with their pre-trained weights for the Rural Medicinal Plant (RMP) dataset that was created using 8 different classes of medicinal plants that sum up to a total of 16000 images. The performance of these models was improved by training through two state-of-the-art Deep Learning optimizers namely, Stochastic Gradient Descent (SGD) and Adam. These models were trained using Keras with a TensorFlow backend. A comparative evaluation was made for these models to identify the model that attains the best classification. The research concluded that for RMP dataset, the MobileNet architecture, in which the training performance was improved with the SGD optimizer is the best suited model to classify medicinal plants and thus proves the novelty of this research. Therefore, the proposed model can be used by traditional medicine practitioners for the identification and classification of medicinal plants.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"56 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":"116462481","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/ETI4.051663.2021.9619213
Nasir Ul Islam Wani, F. I. Bakhsh, P. Choudekar, Ruchira
In remote areas the cost of transmission of electrical power to the load from the main grid is very huge which increases the per unit cost of electricity. Moreover the regular damage to the transmission lines due to the natural phenomenon's affects the power supply. In addition to this the malfunctioning of the grid can also affect the power supply. Hence, in such cases our local generating stations can be utilised for meeting up the local demand. The use of local generating stations in unison with main grid forms a microgrid which increase the reliability and ensure continuity of the supply. In this work operation of the solar photovoltaic (SPV) system based 200kWp microgrid operated in grid linked mode has been analysed. The active power of system is regulated by an active power regulating strategy. For the analysis, the system has been modelled in MATLAB/Simulink. The system comprised of two SPV plants connected to a grid and the capacity of each SPV plant is 100kWp. The perturbation and observation based MPPT algorithm has been used for maximal power tracking from the SPV plants. In the control scheme voltage from grid and current from the inverter are transformed to dq0 coordinates and active (P) and reactive (Q) power are enumerated. The calculated P & Q are compared to Preference and Qreference, respectively. The transformed voltages and currents are also added. After this PWM generator generates the triggering pulses for inverter switches. The control strategy operates in two control loops, an outer power control loop and inner current control loop. A PLL is also used to match the phase and frequency of inverter output with the grid voltages. The obtained results shows the tracking of the peak power from the SPV for every value of irradiance and temperature inputs. The results also show that by using the control strategy the active power fed to grid can be properly controlled and can be changed to any reference value.
{"title":"Active Power Control of Grid Connected SPV Plant Based Microgrid Using Active Power Regulating Scheme","authors":"Nasir Ul Islam Wani, F. I. Bakhsh, P. Choudekar, Ruchira","doi":"10.1109/ETI4.051663.2021.9619213","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619213","url":null,"abstract":"In remote areas the cost of transmission of electrical power to the load from the main grid is very huge which increases the per unit cost of electricity. Moreover the regular damage to the transmission lines due to the natural phenomenon's affects the power supply. In addition to this the malfunctioning of the grid can also affect the power supply. Hence, in such cases our local generating stations can be utilised for meeting up the local demand. The use of local generating stations in unison with main grid forms a microgrid which increase the reliability and ensure continuity of the supply. In this work operation of the solar photovoltaic (SPV) system based 200kWp microgrid operated in grid linked mode has been analysed. The active power of system is regulated by an active power regulating strategy. For the analysis, the system has been modelled in MATLAB/Simulink. The system comprised of two SPV plants connected to a grid and the capacity of each SPV plant is 100kWp. The perturbation and observation based MPPT algorithm has been used for maximal power tracking from the SPV plants. In the control scheme voltage from grid and current from the inverter are transformed to dq0 coordinates and active (P) and reactive (Q) power are enumerated. The calculated P & Q are compared to Preference and Qreference, respectively. The transformed voltages and currents are also added. After this PWM generator generates the triggering pulses for inverter switches. The control strategy operates in two control loops, an outer power control loop and inner current control loop. A PLL is also used to match the phase and frequency of inverter output with the grid voltages. The obtained results shows the tracking of the peak power from the SPV for every value of irradiance and temperature inputs. The results also show that by using the control strategy the active power fed to grid can be properly controlled and can be changed to any reference value.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"36 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":"126852155","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/ETI4.051663.2021.9619395
A. Vadivel, C. John Sundar
Mobile phones are used widely in our day-to day lives giving us the freedom to communicate anywhere and at anytime. It allows you to connect to other compatible devices, surf the internet, listen to music, play games and capture your precious moments. Latest models are stylish in looks and excellent in terms of usability and functions and help you in your personal and professional lives. The main goal of this paper is to find the methodical approach for decision making problems to select the proper attributes and alternatives for neutrosophic score function, neutrosophic negative score function, Neutrosophic accuracy score function and neutrosophic certainty score function by using topology. Also, we apply these neutrosophic functions in a mobile network problem by using a neutrosophic topological spaces based on attributes and alternatives along with graphical bar representation and find out the results.
{"title":"Application Of Neutrosophic Sets Based On Mobile Network Using Neutrosophic Functions","authors":"A. Vadivel, C. John Sundar","doi":"10.1109/ETI4.051663.2021.9619395","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619395","url":null,"abstract":"Mobile phones are used widely in our day-to day lives giving us the freedom to communicate anywhere and at anytime. It allows you to connect to other compatible devices, surf the internet, listen to music, play games and capture your precious moments. Latest models are stylish in looks and excellent in terms of usability and functions and help you in your personal and professional lives. The main goal of this paper is to find the methodical approach for decision making problems to select the proper attributes and alternatives for neutrosophic score function, neutrosophic negative score function, Neutrosophic accuracy score function and neutrosophic certainty score function by using topology. Also, we apply these neutrosophic functions in a mobile network problem by using a neutrosophic topological spaces based on attributes and alternatives along with graphical bar representation and find out the results.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"21 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":"121021907","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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