Pub Date : 2023-03-02DOI: 10.1109/ICEARS56392.2023.10085163
Hari Kishan Neelakantam, Bindu Priya Makala, Prasanna Kommoju, Devi Sai Revanth Ogirala, Pacharla Naga Suneel, Manoj Kumar D
Mobile data traffic is increasing exponentially. In order to meet data traffic demand, the idea is to co-exist LTE with WLAN in 5GHz unlicensed band. Unlicensed spectrum has high flexibility compared to licensed. It is an open and free spectrum resource. LTE won’t sense the channel before transmission. It causes interference when co-exists with WLAN. Proposed algorithms are applicable only for a limited no. of users, static networks, and downlink transmissions. A Fair co-existence algorithm is needed that supports for multiple users, subframes scheduling, uplink transmission, dynamic networks, and maintains good throughput. This paper will examine various aspects of coexistence mechanisms with their limitations and concerns.
{"title":"Co-Existence of LTE Communication with WLAN in Unlicensed Bands: A Review","authors":"Hari Kishan Neelakantam, Bindu Priya Makala, Prasanna Kommoju, Devi Sai Revanth Ogirala, Pacharla Naga Suneel, Manoj Kumar D","doi":"10.1109/ICEARS56392.2023.10085163","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085163","url":null,"abstract":"Mobile data traffic is increasing exponentially. In order to meet data traffic demand, the idea is to co-exist LTE with WLAN in 5GHz unlicensed band. Unlicensed spectrum has high flexibility compared to licensed. It is an open and free spectrum resource. LTE won’t sense the channel before transmission. It causes interference when co-exists with WLAN. Proposed algorithms are applicable only for a limited no. of users, static networks, and downlink transmissions. A Fair co-existence algorithm is needed that supports for multiple users, subframes scheduling, uplink transmission, dynamic networks, and maintains good throughput. This paper will examine various aspects of coexistence mechanisms with their limitations and concerns.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125337431","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 : 2023-03-02DOI: 10.1109/ICEARS56392.2023.10085186
F. A. Jeffrey Vaz, G. AnusuyaDevi, A. M. Indhu Priya, R. Yamini Rajam, Karthik Kumar K
Attendance is most important in schools, colleges and also in workplaces. In schools, colleges and educational institutions, attendance plays an important role. In educational institutions attendance is used to monitor student activity. Attendance is a key parameter which needs to be monitored which helps in visualizing the student progress in academics in day-to-day life. Attendance is helpful for parents who may notice their child going only to schools or college. In work places attendance plays a key role which enhances the work schedule and determines the workload of the employee and the contribution of the employee in his work. It is very mandatory to decide the salary of the employee based on the number of days he has worked. Logging down the attendance in institutions level is done by instructors, who are responsible to take attendance in each lecture hour. This mark down of attendance on an hourly basis is basically tedious work. In some academic regulations loss of attendance due to manual errors may result in mark reduction or attendance shortage may recorded. To automate the process of logging attendance in an autonomous way, this study has designed an efficient solution to log attendance each and every lecture hour without the intervention of the course instructor. The proposed system helps the educational institutions and instructors to focus on the academics rather than logging attendance manually.
{"title":"Smart Attendance System using RFID and Raspberry Pi","authors":"F. A. Jeffrey Vaz, G. AnusuyaDevi, A. M. Indhu Priya, R. Yamini Rajam, Karthik Kumar K","doi":"10.1109/ICEARS56392.2023.10085186","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085186","url":null,"abstract":"Attendance is most important in schools, colleges and also in workplaces. In schools, colleges and educational institutions, attendance plays an important role. In educational institutions attendance is used to monitor student activity. Attendance is a key parameter which needs to be monitored which helps in visualizing the student progress in academics in day-to-day life. Attendance is helpful for parents who may notice their child going only to schools or college. In work places attendance plays a key role which enhances the work schedule and determines the workload of the employee and the contribution of the employee in his work. It is very mandatory to decide the salary of the employee based on the number of days he has worked. Logging down the attendance in institutions level is done by instructors, who are responsible to take attendance in each lecture hour. This mark down of attendance on an hourly basis is basically tedious work. In some academic regulations loss of attendance due to manual errors may result in mark reduction or attendance shortage may recorded. To automate the process of logging attendance in an autonomous way, this study has designed an efficient solution to log attendance each and every lecture hour without the intervention of the course instructor. The proposed system helps the educational institutions and instructors to focus on the academics rather than logging attendance manually.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123044305","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 "Internet of Things" has a vast number interconnected devices. These interconnected devices collect vital data that may have a significant effect on the company, society, and the environment as a whole. IoT application has grown significantly in recent times, and with it, so do worries about cybersecurity. Artificial intelligence (AI) is at the forefront of the technology of cybersecurity and is employed to create intricate algorithms to safeguard systems and networks like IoT devices. But cybercriminals have learned how to take advantage of AI, and they have even started to deploy AI in analyzing cyberattacks. Due to the limited computing power and memory capacities of IoT systems, conventional high-end cybersecurity measures are inadequate to protect an IoT system. The need for accessible, distributed, and robust smart security systems is highlighted by this. Large- and small-scale heterogeneous datasets are no match for DL. In this research, a multilayer cybersecurity strategy based on DL is used to safeguard the TL of IoT systems. The developed framework tests the proposed multi-layer strategy using the intrusion identification statistics obtained from CIC-IDS (2018), ToN, and BoT-IoT. Consequently, depending on the analyzed parameters, the proposed model has outperformed the other approaches and achieved 98% accuracy.
{"title":"Role of Neural Network, Fuzzy, and IoT in Integrating Artificial Intelligence as a Cyber Security System","authors":"Papri Das, Manikumari Illa, Rajesh Pokhariyal, Akhilesh Latoria, Hemlata, DilipKumar Jang Bahadur Saini","doi":"10.1109/ICEARS56392.2023.10084988","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10084988","url":null,"abstract":"The \"Internet of Things\" has a vast number interconnected devices. These interconnected devices collect vital data that may have a significant effect on the company, society, and the environment as a whole. IoT application has grown significantly in recent times, and with it, so do worries about cybersecurity. Artificial intelligence (AI) is at the forefront of the technology of cybersecurity and is employed to create intricate algorithms to safeguard systems and networks like IoT devices. But cybercriminals have learned how to take advantage of AI, and they have even started to deploy AI in analyzing cyberattacks. Due to the limited computing power and memory capacities of IoT systems, conventional high-end cybersecurity measures are inadequate to protect an IoT system. The need for accessible, distributed, and robust smart security systems is highlighted by this. Large- and small-scale heterogeneous datasets are no match for DL. In this research, a multilayer cybersecurity strategy based on DL is used to safeguard the TL of IoT systems. The developed framework tests the proposed multi-layer strategy using the intrusion identification statistics obtained from CIC-IDS (2018), ToN, and BoT-IoT. Consequently, depending on the analyzed parameters, the proposed model has outperformed the other approaches and achieved 98% accuracy.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126065279","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 : 2023-03-02DOI: 10.1109/ICEARS56392.2023.10085073
Yaram Thulasi, K. Krishna, D. Srinivasulu Reddy, Veligaram Hemanthi, Thotli Bhargav Reddy, Tata Lalithapriya
The design of a power efficient and high speed integrated circuits is complex and even more challenging with the current trend towards reduced supply voltages. The work presented in this paper is a High gain, High slew rate, wide band two-stage compensated CMOS operational amplifier. An uncompensated operational amplifier is prone various instability problems. Modified Miller compensation scheme with Cascoded current mirrors and pole zero cancelation techniques are utilized in this design to overcome the various instability problems mentioned in this work. The proposed work involves assumptions of specifications for a specific application, theoretical design calculations, simulation and verification using Cadence tools. In order to verify the theoretical designed values, the proposed compensated two stage CMOS operational amplifier was designed and simulated in 90nm CMOS technology using Cadence Virtuoso tool at an operating voltage of VDD=1.8V. The important parameters such as direct current gain, phase margin, power dissipation, CMRR, unity gain-bandwidth, slew rate was verified with the theoretical values.
{"title":"An Improved Miller Compensated Two Stage CMOS Operational Amplifier","authors":"Yaram Thulasi, K. Krishna, D. Srinivasulu Reddy, Veligaram Hemanthi, Thotli Bhargav Reddy, Tata Lalithapriya","doi":"10.1109/ICEARS56392.2023.10085073","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085073","url":null,"abstract":"The design of a power efficient and high speed integrated circuits is complex and even more challenging with the current trend towards reduced supply voltages. The work presented in this paper is a High gain, High slew rate, wide band two-stage compensated CMOS operational amplifier. An uncompensated operational amplifier is prone various instability problems. Modified Miller compensation scheme with Cascoded current mirrors and pole zero cancelation techniques are utilized in this design to overcome the various instability problems mentioned in this work. The proposed work involves assumptions of specifications for a specific application, theoretical design calculations, simulation and verification using Cadence tools. In order to verify the theoretical designed values, the proposed compensated two stage CMOS operational amplifier was designed and simulated in 90nm CMOS technology using Cadence Virtuoso tool at an operating voltage of VDD=1.8V. The important parameters such as direct current gain, phase margin, power dissipation, CMRR, unity gain-bandwidth, slew rate was verified with the theoretical values.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114096358","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 : 2023-03-02DOI: 10.1109/ICEARS56392.2023.10085483
Gaurav Arora, R. Mutha, M. Sangari, U. Aswal, Abhishek Bhattacherjee, Ankit Agarwal
Deep Neural Network (DNN) hyper parameters are currently physically tuned, so robotized AI methods are being developed to find the best combination of hyper parameters. Finding the right design is difficult since the results of AutoML calculations heavily rely on the underlying frameworks. As a result, applying a visual analytics method is considered as a viable solution. As a solution, HyperTendril, an internet data discovery system is developed to enable user-driven hyperparameter tuning procedures in a model-independent configuration. HyperTendril encompasses a progressive approach to successfully execute the AutoML framework through a repetitive tuning process to assist clients in the tuning and execution of the AutoML framework based on a client's knowledge on the obtained outcome. Users can use HyperTendril to diagnose the configurations of various hyperparameter search methods and gain insights into their complex behaviour. Furthermore, HyperTendril provides various feature analysis to help users narrow their search areas based on the relative relevance of various hyperparameters and the consequences of their interactions.
{"title":"An Analysis of the Effects and Interaction of Hyper Parameters in Convolutional Neural Networks","authors":"Gaurav Arora, R. Mutha, M. Sangari, U. Aswal, Abhishek Bhattacherjee, Ankit Agarwal","doi":"10.1109/ICEARS56392.2023.10085483","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085483","url":null,"abstract":"Deep Neural Network (DNN) hyper parameters are currently physically tuned, so robotized AI methods are being developed to find the best combination of hyper parameters. Finding the right design is difficult since the results of AutoML calculations heavily rely on the underlying frameworks. As a result, applying a visual analytics method is considered as a viable solution. As a solution, HyperTendril, an internet data discovery system is developed to enable user-driven hyperparameter tuning procedures in a model-independent configuration. HyperTendril encompasses a progressive approach to successfully execute the AutoML framework through a repetitive tuning process to assist clients in the tuning and execution of the AutoML framework based on a client's knowledge on the obtained outcome. Users can use HyperTendril to diagnose the configurations of various hyperparameter search methods and gain insights into their complex behaviour. Furthermore, HyperTendril provides various feature analysis to help users narrow their search areas based on the relative relevance of various hyperparameters and the consequences of their interactions.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121120663","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 : 2023-03-02DOI: 10.1109/ICEARS56392.2023.10085062
S. Charan, Saravanan. M.S, S. R
The research study is to predict that humans are using electronic gadgets recognition to communicate with the other person. The framework to classify the Innovative K-Nearest Neighbour and Naive Bayes to perform all measures. This research study used Novel K-Nearest Neighbour and Naive Bayes to perform the operations to give the best exactness of human activity recognition in various age factor. Recent study results a 95% credibility range for the mean and standard deviation, a significance level of 0.05 percent, and 47 samples were obtained from a variety of internet sources for this study. Since the Innovative K-Nearest Neighbor algorithm and the local invariant approaches have achieved 93.05% accuracy in predicting the activity analysis, this research wants to discover greater accuracy for activity prediction using the Naive Bayes algorithm in machine learning. When applied to the analysis of human activity, the Innovative K-Nearest Neighbor algorithm achieved 90.12% accuracy, with a p-value of 0.045 (p0.05) and a 95% confidence range. According to the results of this investigation, the K-Nearest Neighbor technique executes better than the Naive Bayes approach after analyzing the effect of age on human performance.
{"title":"Prediction of Insufficient Accuracy for Human Activity Recognition with Limited Range of Age using K-Nearest Neighbor","authors":"S. Charan, Saravanan. M.S, S. R","doi":"10.1109/ICEARS56392.2023.10085062","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085062","url":null,"abstract":"The research study is to predict that humans are using electronic gadgets recognition to communicate with the other person. The framework to classify the Innovative K-Nearest Neighbour and Naive Bayes to perform all measures. This research study used Novel K-Nearest Neighbour and Naive Bayes to perform the operations to give the best exactness of human activity recognition in various age factor. Recent study results a 95% credibility range for the mean and standard deviation, a significance level of 0.05 percent, and 47 samples were obtained from a variety of internet sources for this study. Since the Innovative K-Nearest Neighbor algorithm and the local invariant approaches have achieved 93.05% accuracy in predicting the activity analysis, this research wants to discover greater accuracy for activity prediction using the Naive Bayes algorithm in machine learning. When applied to the analysis of human activity, the Innovative K-Nearest Neighbor algorithm achieved 90.12% accuracy, with a p-value of 0.045 (p0.05) and a 95% confidence range. According to the results of this investigation, the K-Nearest Neighbor technique executes better than the Naive Bayes approach after analyzing the effect of age on human performance.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121144833","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 : 2023-03-02DOI: 10.1109/ICEARS56392.2023.10085165
Sekhar M, S. Nelaturi
A accurate microwave imaging system can be implemented using the wireless communication technology known as ultra-wideband (UWB). As UWB uses a brief pulse signal, it also consumes very low power and is very robust in multipath settings. Numerous UWB antennas were suggested to suit the required criteria for microwave imaging. In this study, a compact UWB antenna operating in the 3.1 GHz–11.8 GHz frequency range is proposed using a FR-4 substrate. The antenna's overall dimension is 25×12.5×1.6 mm3, or 0.258λ0×0.129 λ0×0.02 λ0 at the lowest operating frequency. Coplanar waveguide is the feeding technique used for the transmission line is design. To increase the working frequency range, in the hexagonal shaped radiator a ribbon-shaped slot and a semi hexagonal ring slot are etched. The proposed UWB antenna is constructed and measured for validation. It has good impedance performance from 3.1 to 11.8 GHz and omnidirectional patterns across the range of frequencies.
{"title":"CPW Fed Ultrawideband Antenna for Microwave Imaging Application","authors":"Sekhar M, S. Nelaturi","doi":"10.1109/ICEARS56392.2023.10085165","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085165","url":null,"abstract":"A accurate microwave imaging system can be implemented using the wireless communication technology known as ultra-wideband (UWB). As UWB uses a brief pulse signal, it also consumes very low power and is very robust in multipath settings. Numerous UWB antennas were suggested to suit the required criteria for microwave imaging. In this study, a compact UWB antenna operating in the 3.1 GHz–11.8 GHz frequency range is proposed using a FR-4 substrate. The antenna's overall dimension is 25×12.5×1.6 mm3, or 0.258λ0×0.129 λ0×0.02 λ0 at the lowest operating frequency. Coplanar waveguide is the feeding technique used for the transmission line is design. To increase the working frequency range, in the hexagonal shaped radiator a ribbon-shaped slot and a semi hexagonal ring slot are etched. The proposed UWB antenna is constructed and measured for validation. It has good impedance performance from 3.1 to 11.8 GHz and omnidirectional patterns across the range of frequencies.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116686015","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 : 2023-03-02DOI: 10.1109/ICEARS56392.2023.10085024
V. Ebenezer, Sachin R, S. S. Hiruthic, S. S. Sergius, R. Shivnesh
In the area of medical diagnosis, there has been a need for accurate anomaly detection and disease classification. Data-driven diagnosis is necessary since skin disorders tend to take many different forms, there aren't enough skilled dermatologists, and they're scattered inaccurately. It is important to diagnose and treat skin diseases promptly, but some conditions may not present symptoms right away, which can complicate treatment for certain patients. The patients are also concerned about the treatment and diagnosis. This makes patients a lot harder to reach out to doctors in-order for diagnosis thus an automation is required which gives the results based upon pictures taken personally.
{"title":"SDNS: Artificial Neural Network Scheme to Solve the Nonlinear Skin Disease Model","authors":"V. Ebenezer, Sachin R, S. S. Hiruthic, S. S. Sergius, R. Shivnesh","doi":"10.1109/ICEARS56392.2023.10085024","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085024","url":null,"abstract":"In the area of medical diagnosis, there has been a need for accurate anomaly detection and disease classification. Data-driven diagnosis is necessary since skin disorders tend to take many different forms, there aren't enough skilled dermatologists, and they're scattered inaccurately. It is important to diagnose and treat skin diseases promptly, but some conditions may not present symptoms right away, which can complicate treatment for certain patients. The patients are also concerned about the treatment and diagnosis. This makes patients a lot harder to reach out to doctors in-order for diagnosis thus an automation is required which gives the results based upon pictures taken personally.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123814544","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 : 2023-03-02DOI: 10.1109/ICEARS56392.2023.10084927
S. Sujitha, V. S, Dechamma V S, J. Likitha, Prajwal R M, Jayanth R
Performance, flexibility, and openness have considerably increased as a result of recent developments in human-machine interface (HMI). When selecting an HMI interface for a Programable Logic Control (PLC) based automation system that will meet the requirements of the process throughout the expected lifetime of the control system, it is vital to take into account a wide variety of parameters. This article examines the choice and plan of the Human Machine Connection point for a PLC-based Robotization Framework, as well as its delicate and hard components.
{"title":"Study of Interfacing PLC With HMI for Industrial Applications","authors":"S. Sujitha, V. S, Dechamma V S, J. Likitha, Prajwal R M, Jayanth R","doi":"10.1109/ICEARS56392.2023.10084927","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10084927","url":null,"abstract":"Performance, flexibility, and openness have considerably increased as a result of recent developments in human-machine interface (HMI). When selecting an HMI interface for a Programable Logic Control (PLC) based automation system that will meet the requirements of the process throughout the expected lifetime of the control system, it is vital to take into account a wide variety of parameters. This article examines the choice and plan of the Human Machine Connection point for a PLC-based Robotization Framework, as well as its delicate and hard components.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125185585","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}
Fire is the most explosive and quickly spreads. Fire incidents cause a large number of fatalities worldwide. This paper provides a novel method for fire detection and alarming notification using Internet of Things technology which aims to avert the scenarios. The existing fire detection system uses a fire sensor to detect the fire, but the proposed solution is different from that. The existing systems include fire alarms and notifications by raising the alarm when the fire is discovered in a small location. The proposed solution includes a fire alarm and also notifies us via mobile device in order to ensure and present accurate solutions to the system. It can be made up of an infrared and flame-detecting flame sensor and an NodeMCU (ESP8266). This has been coupled with a buzzer and an LED, which will serve as an aural and visual alert. and it will transmit an alert whenever it detects fire through MIT App Inventor. The appropriate person is then made aware so that prompt action can be done to limit the damage to a certain level. Sensor-assisted surveillance of residential or commercial spaces and problem prevention through prediction are crucial for the safety of these areas. The approach for fire detection and alarm notification can be illustrated in this paper. NodeMCU with an infrared and flame-detecting flame sensor makes up the circuit. This has been connected to a buzzer and an LED, which will broadcast a visual and audible alert. Every time it senses fire, it will use MIT App Inventor to send out a notification. The right person is then informed so that quick action can be taken to keep the damage to a minimum. It is an affordable system for industrial and domestic safety. Every user may use this wireless home security system to the design of the hardware circuit.
{"title":"A Novel Method for Fire Detection and Alarming Notification using IoT Technology","authors":"Sujatha Banka, Bhavya Kanchanapalli, Bhuvaneshwari Annam, Akhila Akula, Sripriya Thirukkovalluru, Swapna Jarpula","doi":"10.1109/ICEARS56392.2023.10084949","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10084949","url":null,"abstract":"Fire is the most explosive and quickly spreads. Fire incidents cause a large number of fatalities worldwide. This paper provides a novel method for fire detection and alarming notification using Internet of Things technology which aims to avert the scenarios. The existing fire detection system uses a fire sensor to detect the fire, but the proposed solution is different from that. The existing systems include fire alarms and notifications by raising the alarm when the fire is discovered in a small location. The proposed solution includes a fire alarm and also notifies us via mobile device in order to ensure and present accurate solutions to the system. It can be made up of an infrared and flame-detecting flame sensor and an NodeMCU (ESP8266). This has been coupled with a buzzer and an LED, which will serve as an aural and visual alert. and it will transmit an alert whenever it detects fire through MIT App Inventor. The appropriate person is then made aware so that prompt action can be done to limit the damage to a certain level. Sensor-assisted surveillance of residential or commercial spaces and problem prevention through prediction are crucial for the safety of these areas. The approach for fire detection and alarm notification can be illustrated in this paper. NodeMCU with an infrared and flame-detecting flame sensor makes up the circuit. This has been connected to a buzzer and an LED, which will broadcast a visual and audible alert. Every time it senses fire, it will use MIT App Inventor to send out a notification. The right person is then informed so that quick action can be taken to keep the damage to a minimum. It is an affordable system for industrial and domestic safety. Every user may use this wireless home security system to the design of the hardware circuit.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128127452","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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