Pub Date : 2021-12-16DOI: 10.1109/ICSTCEE54422.2021.9708548
Satyadhyan Chickerur, P. Ashish
Computational fluid dynamics (CFD) is the visualisation of how a fluid moves and interacts with things as it passes by using applied mathematics, physics, and computational software. The project is designed to simulate fluid flow of a particle based on provided boundary conditions using High Performance Computing (HPC), with two-dimensional picture files as input to the software and fluid flow of a particle generated based on these image data. The Naiver Stokes Equation and the Lattice Boltzmann Equation are used to create these fluid flow particles.The governing equations based on the conservation law of fluid physical characteristics lead the primary structure of thermofluids investigations. Fluid flow is created depending on the item using the three governing equations from the conservation laws of physics. CFD simulation, on the other hand, which is a Iterative process is frequently computationally costly, memory-intensive, and time-consuming. A model based on convolutional neural networks, is proposed for predicting non-uniform flow in 2D to over come these disadvantages. The proposed approach thus aims to aid the behaviour of fluid particles on a certain system and to assist in the development of the system based on the fluid particles that travel through it. At the early stages of design, this technique can give quick feedback for real-time design revisions. In comparison to previous approximation methods in the aerodynamics domain, CNNs provide for efficient velocity field estimate and took less time then the previous approximation method. As CFD based CNN model is more effective to 2D design(2D aeroplane dataset) as it is in research stage lot more experiments have to be made for 3D designs. Designers and engineers may also use the CFD based CNN model directly in their 2D design space exploration.
{"title":"A Convolutional Neural Network Based Approach for Computational Fluid Dynamics","authors":"Satyadhyan Chickerur, P. Ashish","doi":"10.1109/ICSTCEE54422.2021.9708548","DOIUrl":"https://doi.org/10.1109/ICSTCEE54422.2021.9708548","url":null,"abstract":"Computational fluid dynamics (CFD) is the visualisation of how a fluid moves and interacts with things as it passes by using applied mathematics, physics, and computational software. The project is designed to simulate fluid flow of a particle based on provided boundary conditions using High Performance Computing (HPC), with two-dimensional picture files as input to the software and fluid flow of a particle generated based on these image data. The Naiver Stokes Equation and the Lattice Boltzmann Equation are used to create these fluid flow particles.The governing equations based on the conservation law of fluid physical characteristics lead the primary structure of thermofluids investigations. Fluid flow is created depending on the item using the three governing equations from the conservation laws of physics. CFD simulation, on the other hand, which is a Iterative process is frequently computationally costly, memory-intensive, and time-consuming. A model based on convolutional neural networks, is proposed for predicting non-uniform flow in 2D to over come these disadvantages. The proposed approach thus aims to aid the behaviour of fluid particles on a certain system and to assist in the development of the system based on the fluid particles that travel through it. At the early stages of design, this technique can give quick feedback for real-time design revisions. In comparison to previous approximation methods in the aerodynamics domain, CNNs provide for efficient velocity field estimate and took less time then the previous approximation method. As CFD based CNN model is more effective to 2D design(2D aeroplane dataset) as it is in research stage lot more experiments have to be made for 3D designs. Designers and engineers may also use the CFD based CNN model directly in their 2D design space exploration.","PeriodicalId":146490,"journal":{"name":"2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127570689","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 : 2021-12-16DOI: 10.1109/ICSTCEE54422.2021.9708585
Sharath Umesh, L. S. Rajan, VV Lakshmi Pathi, Pramod Bandiwad, S. Elumalai, K. Sriram
Cryogenic liquid level detection plays a significant role during the filling of fuel (liquid hydrogen/liquid oxygen) to cryogenic stage in launch vehicles. Optical fiber sensors have been employed for cryogenic liquid level detection utilizing either intensity modulation by refractometry method or wavelength modulation by heat exchange efficiency method. The present study reports a novel wavelength modulation methodology employing multiplexed Fiber Bragg Grating (FBG) Sensors to assess the cryogenic liquid level in a storage tank. Two FBGs bonded over a resistance heater rod 20cm apart act as the sensing element, which will be immersed in the cryogenic fluid. The temperature of the sensing element is periodically increased and corresponding thermal responses of both the FBG sensors are acquired. Heat conductance capacity of cryogenic fluid is higher in liquid state than in gaseous state. The thermal responses of the FBG sensor obtained by assessing the heat transfer characteristics of the surrounding environment, will ascertain its existence in liquid or gaseous cryogenic fluid. By experimental investigation, it is observed that the thermal responses of the FBGs can actively discern between the liquid and gaseous states of cryogenic fluids. Further, with multiplexing capability, numerous FBGs can be fabricated in a single strand of fiber which can be discreet sensing points in order to assess the cryogenic liquid level.
{"title":"Cryogenic liquid level detection using fiber Bragg grating sensor","authors":"Sharath Umesh, L. S. Rajan, VV Lakshmi Pathi, Pramod Bandiwad, S. Elumalai, K. Sriram","doi":"10.1109/ICSTCEE54422.2021.9708585","DOIUrl":"https://doi.org/10.1109/ICSTCEE54422.2021.9708585","url":null,"abstract":"Cryogenic liquid level detection plays a significant role during the filling of fuel (liquid hydrogen/liquid oxygen) to cryogenic stage in launch vehicles. Optical fiber sensors have been employed for cryogenic liquid level detection utilizing either intensity modulation by refractometry method or wavelength modulation by heat exchange efficiency method. The present study reports a novel wavelength modulation methodology employing multiplexed Fiber Bragg Grating (FBG) Sensors to assess the cryogenic liquid level in a storage tank. Two FBGs bonded over a resistance heater rod 20cm apart act as the sensing element, which will be immersed in the cryogenic fluid. The temperature of the sensing element is periodically increased and corresponding thermal responses of both the FBG sensors are acquired. Heat conductance capacity of cryogenic fluid is higher in liquid state than in gaseous state. The thermal responses of the FBG sensor obtained by assessing the heat transfer characteristics of the surrounding environment, will ascertain its existence in liquid or gaseous cryogenic fluid. By experimental investigation, it is observed that the thermal responses of the FBGs can actively discern between the liquid and gaseous states of cryogenic fluids. Further, with multiplexing capability, numerous FBGs can be fabricated in a single strand of fiber which can be discreet sensing points in order to assess the cryogenic liquid level.","PeriodicalId":146490,"journal":{"name":"2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128105307","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 : 2021-12-16DOI: 10.1109/ICSTCEE54422.2021.9708566
P. Panda, Sake Vinay, Modepalli Surendra, Kure Venugopal
Leaf diseases are a common disease in many plants. It has been normally controlled by fungicides bactericides and resistant varieties. Leaves are important for the fast-growing of plants and to extend the production of crops. But in this paper, predominantly engrossed in peanut plant leaves. Nowadays, India is the largest producer of groundnut in the world but when it comes to production, the average yields at 745kg/ha. Whereas disease attack is the foremost reason for the low yield. However, identifying diseases in plant leaves is profound challenging for farmers in day-to-day life. To address the respective challenge, a leaf disease detection system based on Machine Learning (ML) and viable Faster Region-Based Convolutional Neural Networks (RCNN) algorithms has been proposed. This result reveals that the RCNN provides a solution to whether the leaf is in a fine or infirmity position. Moreover, the proposed model has been analyzed concerning the accuracy, time complexity, and computational complexity.
{"title":"Implementation of Peanut Leaf Disease Detection System Using Faster RCNN","authors":"P. Panda, Sake Vinay, Modepalli Surendra, Kure Venugopal","doi":"10.1109/ICSTCEE54422.2021.9708566","DOIUrl":"https://doi.org/10.1109/ICSTCEE54422.2021.9708566","url":null,"abstract":"Leaf diseases are a common disease in many plants. It has been normally controlled by fungicides bactericides and resistant varieties. Leaves are important for the fast-growing of plants and to extend the production of crops. But in this paper, predominantly engrossed in peanut plant leaves. Nowadays, India is the largest producer of groundnut in the world but when it comes to production, the average yields at 745kg/ha. Whereas disease attack is the foremost reason for the low yield. However, identifying diseases in plant leaves is profound challenging for farmers in day-to-day life. To address the respective challenge, a leaf disease detection system based on Machine Learning (ML) and viable Faster Region-Based Convolutional Neural Networks (RCNN) algorithms has been proposed. This result reveals that the RCNN provides a solution to whether the leaf is in a fine or infirmity position. Moreover, the proposed model has been analyzed concerning the accuracy, time complexity, and computational complexity.","PeriodicalId":146490,"journal":{"name":"2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130276430","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 : 2021-12-16DOI: 10.1109/ICSTCEE54422.2021.9708590
Venu Yarlagadda, J. Rao, Giriprasad Ambati, S. K. Karthik Kumar, K. Rajesh
The Power System stability plays an extraordinary role in system security and reliability of power grid, and is broadly classified into Generator Stability and Voltage Stability. These two stability issues are can’t be separated with each other and one is interdepends on the other. The main objective of the article is to analyze both of these problems simultaneously with the development of a Three Bus System by integrating both these stability problems. The three bus test system is formed with Single Machine Infinite Bus (SMIB) System with that of the Single Machine Load Bus (SMLB) systems. The SMLB system used to study the absolute voltage stability alone whereas SMIB System is resembles the Generator Stability problem. The Simulink Model is developed for the three bus test system to evaluate the integrated angle and voltage stability analysis. The voltage stability can be assessed using pv and qv curves and angle stability is analyzed with power angle curves. Static Var Compensator (SVC) is used to improve the power system stability. The test system performance is evaluated and compared without and with Static Shunt Compensator.
{"title":"Integrated Voltage and Generator Stability Analysis of a Three Bus System Combining SMIB and SMLB Systems","authors":"Venu Yarlagadda, J. Rao, Giriprasad Ambati, S. K. Karthik Kumar, K. Rajesh","doi":"10.1109/ICSTCEE54422.2021.9708590","DOIUrl":"https://doi.org/10.1109/ICSTCEE54422.2021.9708590","url":null,"abstract":"The Power System stability plays an extraordinary role in system security and reliability of power grid, and is broadly classified into Generator Stability and Voltage Stability. These two stability issues are can’t be separated with each other and one is interdepends on the other. The main objective of the article is to analyze both of these problems simultaneously with the development of a Three Bus System by integrating both these stability problems. The three bus test system is formed with Single Machine Infinite Bus (SMIB) System with that of the Single Machine Load Bus (SMLB) systems. The SMLB system used to study the absolute voltage stability alone whereas SMIB System is resembles the Generator Stability problem. The Simulink Model is developed for the three bus test system to evaluate the integrated angle and voltage stability analysis. The voltage stability can be assessed using pv and qv curves and angle stability is analyzed with power angle curves. Static Var Compensator (SVC) is used to improve the power system stability. The test system performance is evaluated and compared without and with Static Shunt Compensator.","PeriodicalId":146490,"journal":{"name":"2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115564983","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 : 2021-12-16DOI: 10.1109/ICSTCEE54422.2021.9708574
S. Karunakaran, K. Pavan, P. Reddy
This paper deals with a comparator with N bits which is efficient in terms of area and operates at high speed with power dissipation as low as possible. Area and power necessities can be scaled down by this proposed digital comparator. Among all the arithmetic operations comparison is the most basic. This operation directs if one number is less than, greater than, or equals to the other number. In our proposed model comparison is carried out bit wise up to least significant from most significant bit , when bits are equal only then comparison forgoes ,which is called as parallel prefix tree structure is exercised. This proposed methodology of comparator structure comprises of two independent modules .Comparison evaluation unit (CEU) and final unit (FU) named first and second units respectively. For implementing tree structure results obtained from systematic structure of repeated logic cells is validated. By depending on the outcomes of CEU, FU module authenticates the result. The presence of structured VLSI methodology in the mooted architecture grants the area derivation through analytical method relating transistors count and entire total delay can be seen in terms of operand bit width. By making use of 0.18 micron CMOS technology at 1 GHz spectre simulations have been performed. Using this proposed design, power consumption reduced by 77.76% and operating speed had increased by 31.92% when compared with existing model.
{"title":"VLSI Implementation of a High Speed and Area efficient N-bit Digital CMOS Comparator","authors":"S. Karunakaran, K. Pavan, P. Reddy","doi":"10.1109/ICSTCEE54422.2021.9708574","DOIUrl":"https://doi.org/10.1109/ICSTCEE54422.2021.9708574","url":null,"abstract":"This paper deals with a comparator with N bits which is efficient in terms of area and operates at high speed with power dissipation as low as possible. Area and power necessities can be scaled down by this proposed digital comparator. Among all the arithmetic operations comparison is the most basic. This operation directs if one number is less than, greater than, or equals to the other number. In our proposed model comparison is carried out bit wise up to least significant from most significant bit , when bits are equal only then comparison forgoes ,which is called as parallel prefix tree structure is exercised. This proposed methodology of comparator structure comprises of two independent modules .Comparison evaluation unit (CEU) and final unit (FU) named first and second units respectively. For implementing tree structure results obtained from systematic structure of repeated logic cells is validated. By depending on the outcomes of CEU, FU module authenticates the result. The presence of structured VLSI methodology in the mooted architecture grants the area derivation through analytical method relating transistors count and entire total delay can be seen in terms of operand bit width. By making use of 0.18 micron CMOS technology at 1 GHz spectre simulations have been performed. Using this proposed design, power consumption reduced by 77.76% and operating speed had increased by 31.92% when compared with existing model.","PeriodicalId":146490,"journal":{"name":"2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114175728","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 : 2021-12-16DOI: 10.1109/ICSTCEE54422.2021.9708576
Ali Nasret Najdet Coran, Ardm Haseeb Mohammaed Ali, Zuhair Shakor Mahhmood, Sameen F Mohammed
Many individuals have always found the ability to recognize human speech interesting because of the diversity of applications in virtually every industry. Improvements in human voice/speech recognition capacity and quality have been made possible via advancements in science and technology, particularly when using equipment known as a terminal. Speech recognition enables devices to alter speech data in a manner that is understandable, and this means that information has been completely identified and comprehended. The main aim of recognizing human voice is to be able to tailor information (for humans) for device use. The main goal of voice recognition systems is to allow the device to interact with the user and provide new possibilities. The growing use of intelligent terminals, as well as their substantial scientific and technological potential, calls into question the capabilities of human voice recognition in the workplace. The aim of this article is to demonstrate human speech recognition capabilities utilizing intelligent terminal devices. Also, this will primarily be investigated in the transportation (vehicle) context, where the advantages and disadvantages of these devices and concepts will be assessed.
{"title":"Design Speech Recognition Systems in the nosily Environment by Utilizing intelligent Devices","authors":"Ali Nasret Najdet Coran, Ardm Haseeb Mohammaed Ali, Zuhair Shakor Mahhmood, Sameen F Mohammed","doi":"10.1109/ICSTCEE54422.2021.9708576","DOIUrl":"https://doi.org/10.1109/ICSTCEE54422.2021.9708576","url":null,"abstract":"Many individuals have always found the ability to recognize human speech interesting because of the diversity of applications in virtually every industry. Improvements in human voice/speech recognition capacity and quality have been made possible via advancements in science and technology, particularly when using equipment known as a terminal. Speech recognition enables devices to alter speech data in a manner that is understandable, and this means that information has been completely identified and comprehended. The main aim of recognizing human voice is to be able to tailor information (for humans) for device use. The main goal of voice recognition systems is to allow the device to interact with the user and provide new possibilities. The growing use of intelligent terminals, as well as their substantial scientific and technological potential, calls into question the capabilities of human voice recognition in the workplace. The aim of this article is to demonstrate human speech recognition capabilities utilizing intelligent terminal devices. Also, this will primarily be investigated in the transportation (vehicle) context, where the advantages and disadvantages of these devices and concepts will be assessed.","PeriodicalId":146490,"journal":{"name":"2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130582945","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 : 2021-12-16DOI: 10.1109/ICSTCEE54422.2021.9708569
S. Binny, Shamili Srimani Pendyala, S. J. Pimo, Sagaya Aurelia, P. Reddy, D. Satyanarayana
The threat of a Distributed Denial of Service (DDoS) attack on web-based services and applications is grave. It only takes a few minutes for one of these attacks to cripple these services, making them unavailable to anyone. The problem has further persisted with the widespread adoption of insecure Internet of Things (IoT) devices across the Internet. In addition, many currently used rule-based detection systems are weak points for attackers. We conducted a comparative analysis of ML algorithms to detect and classify DDoS attacks in this paper. These classifiers compare Nave Bayes with J48 and Random Forest with ZeroR ML as well as other machine learning algorithms. It was found that using the PCA method, the optimal number of features could be found. ML has been implemented with the help of the WEKA tool.
{"title":"Distributed DoS Detection in IoT Networks Using Intelligent Machine Learning Algorithms","authors":"S. Binny, Shamili Srimani Pendyala, S. J. Pimo, Sagaya Aurelia, P. Reddy, D. Satyanarayana","doi":"10.1109/ICSTCEE54422.2021.9708569","DOIUrl":"https://doi.org/10.1109/ICSTCEE54422.2021.9708569","url":null,"abstract":"The threat of a Distributed Denial of Service (DDoS) attack on web-based services and applications is grave. It only takes a few minutes for one of these attacks to cripple these services, making them unavailable to anyone. The problem has further persisted with the widespread adoption of insecure Internet of Things (IoT) devices across the Internet. In addition, many currently used rule-based detection systems are weak points for attackers. We conducted a comparative analysis of ML algorithms to detect and classify DDoS attacks in this paper. These classifiers compare Nave Bayes with J48 and Random Forest with ZeroR ML as well as other machine learning algorithms. It was found that using the PCA method, the optimal number of features could be found. ML has been implemented with the help of the WEKA tool.","PeriodicalId":146490,"journal":{"name":"2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127909332","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 : 2021-10-31DOI: 10.22214/ijraset.2021.38608
Tanay Reshamwala, Charmil Shah, Swapna Naik
The giant network and applications offered by a device tiny enough to be called “Dust”, has revolutionized the way we live our lives. IoT has gained rapid access and application in a wide spectrum of applications ranging from a heart monitoring device to a sensor in hazardous factory locations saving lives further leaping on to home automation & managing vehicles on roads. Home automation has seen an increased usage in developed countries as most homes are equipped and controlled through IoT. The Internet of Things is a huge network of associated things and individuals all of which gather and share data about the manner in which they are utilized and about the environment around them. In today’s modern technological era IOT has gained much admiration and is evolving at a very high pace. This paper lays out an idea of creating an IOT based Home Automation system. It illustrates the use of various hardware devices such as Arduino Uno, ESP8266 NodeMCU and some sensors along with software applications like the google firebase which is a realtime database to create a completely functional smart home. This project proposes a system where the home appliances can be controlled from the user’s mobile application via the internet from any part of the world while other minor devices and their tasks are fully automated by the system. It even integrates voice commands to the system using Google’s Voice Assistant system. The paper presents a very simple and cost effective system that can be easily implemented in any household.
{"title":"Computerization in Home: Change in Way of Life","authors":"Tanay Reshamwala, Charmil Shah, Swapna Naik","doi":"10.22214/ijraset.2021.38608","DOIUrl":"https://doi.org/10.22214/ijraset.2021.38608","url":null,"abstract":"The giant network and applications offered by a device tiny enough to be called “Dust”, has revolutionized the way we live our lives. IoT has gained rapid access and application in a wide spectrum of applications ranging from a heart monitoring device to a sensor in hazardous factory locations saving lives further leaping on to home automation & managing vehicles on roads. Home automation has seen an increased usage in developed countries as most homes are equipped and controlled through IoT. The Internet of Things is a huge network of associated things and individuals all of which gather and share data about the manner in which they are utilized and about the environment around them. In today’s modern technological era IOT has gained much admiration and is evolving at a very high pace. This paper lays out an idea of creating an IOT based Home Automation system. It illustrates the use of various hardware devices such as Arduino Uno, ESP8266 NodeMCU and some sensors along with software applications like the google firebase which is a realtime database to create a completely functional smart home. This project proposes a system where the home appliances can be controlled from the user’s mobile application via the internet from any part of the world while other minor devices and their tasks are fully automated by the system. It even integrates voice commands to the system using Google’s Voice Assistant system. The paper presents a very simple and cost effective system that can be easily implemented in any household.","PeriodicalId":146490,"journal":{"name":"2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115219392","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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