Pub Date : 2022-07-15DOI: 10.1109/ICSES55317.2022.9914372
P. R, Swati Saxena, Siva Prasad, Vishvaa R
The major Idea of the Smart wearable railway porter Luggage System Project is to increase a railway porter tool that would be person-friendly. The task is used calculate the weight, time and distance, Generally, Staffs at Railway Stations price us randomly without understanding our weight of the bags or without understanding the space which he must carry, we advise an Effective Solution i.e. We Develop a transportable tool in which the person has to Enter the Load of the Luggage, Platform Number and we Use human Distance Tracker to Measure the distance primarily based totally on that we arrive at a cost which will become affordable for Everyone to Use which is all interconnected to a Mobile Application. Along with this system we introduced coronary heart charge sensor to degree the porter’s present day coronary heart charge, and the porter’s coronary heart charge may be uploaded to the cloud server the use of net of things.
{"title":"An Intelligent Automated System for Porter Services in India","authors":"P. R, Swati Saxena, Siva Prasad, Vishvaa R","doi":"10.1109/ICSES55317.2022.9914372","DOIUrl":"https://doi.org/10.1109/ICSES55317.2022.9914372","url":null,"abstract":"The major Idea of the Smart wearable railway porter Luggage System Project is to increase a railway porter tool that would be person-friendly. The task is used calculate the weight, time and distance, Generally, Staffs at Railway Stations price us randomly without understanding our weight of the bags or without understanding the space which he must carry, we advise an Effective Solution i.e. We Develop a transportable tool in which the person has to Enter the Load of the Luggage, Platform Number and we Use human Distance Tracker to Measure the distance primarily based totally on that we arrive at a cost which will become affordable for Everyone to Use which is all interconnected to a Mobile Application. Along with this system we introduced coronary heart charge sensor to degree the porter’s present day coronary heart charge, and the porter’s coronary heart charge may be uploaded to the cloud server the use of net of things.","PeriodicalId":312057,"journal":{"name":"2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114973281","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 : 2022-07-15DOI: 10.1109/ICSES55317.2022.9914082
K. A. I. Sailaja, V. M. Varatharaju, Kavitha Muthukrishnan, N. V. Ravindhar, L. Manoharan, S. Gomathi
To design and develop a Solar Powered system which enable "charging on drive" feature for an E-bikeAt present, the E-batteries bike’s are charged using a static charger, which is permanently installed in one place. When the battery warning light comes on, we have to find a charging station, which may or may not be close by. Using solar energy is a step in the right direction toward a more sustainable future because it is both safe and clean. Incorporating a lightweight (flexible) PV panel currently on the market, we bring the novel concept of "charging on drive" to promote E-Vehicle use. The variation of solar panel output power with respect to factors like insolation, temperature, and Vmp is something we're modeling mathematically in matlab.
{"title":"Design and Implementation of Flexible Solar Panel for Electric Vehicles","authors":"K. A. I. Sailaja, V. M. Varatharaju, Kavitha Muthukrishnan, N. V. Ravindhar, L. Manoharan, S. Gomathi","doi":"10.1109/ICSES55317.2022.9914082","DOIUrl":"https://doi.org/10.1109/ICSES55317.2022.9914082","url":null,"abstract":"To design and develop a Solar Powered system which enable \"charging on drive\" feature for an E-bikeAt present, the E-batteries bike’s are charged using a static charger, which is permanently installed in one place. When the battery warning light comes on, we have to find a charging station, which may or may not be close by. Using solar energy is a step in the right direction toward a more sustainable future because it is both safe and clean. Incorporating a lightweight (flexible) PV panel currently on the market, we bring the novel concept of \"charging on drive\" to promote E-Vehicle use. The variation of solar panel output power with respect to factors like insolation, temperature, and Vmp is something we're modeling mathematically in matlab.","PeriodicalId":312057,"journal":{"name":"2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115500591","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}
Credit cards have evolved as a way of transferring money through E-payment systems, as digital payments develop to smoothly help corporate transactions around the world. Credit card fraud, on the other side, has continued to be a huge global danger to financial firms, with various reports and figures revealing the scope of the problem. In this study, we used three distinct ensemble models to implement a champion-challenger framework and evaluated the best model amongst them. With Accuracy, Precision, Recall, and F1-Score of 99.86, 99.73, 99.99, 99.86, Challenger 1, which is an aggregation of Random Forest, Adaboost, and LSTM, was crowned the winner.
{"title":"Ensemble Approach for Credit Card Fraud Detection Using Champion-Challenger Analysis","authors":"Harshit Muhal, Gaurav Khatri, Gaurav Dhama, Deepika Bansal","doi":"10.1109/ICSES55317.2022.9914387","DOIUrl":"https://doi.org/10.1109/ICSES55317.2022.9914387","url":null,"abstract":"Credit cards have evolved as a way of transferring money through E-payment systems, as digital payments develop to smoothly help corporate transactions around the world. Credit card fraud, on the other side, has continued to be a huge global danger to financial firms, with various reports and figures revealing the scope of the problem. In this study, we used three distinct ensemble models to implement a champion-challenger framework and evaluated the best model amongst them. With Accuracy, Precision, Recall, and F1-Score of 99.86, 99.73, 99.99, 99.86, Challenger 1, which is an aggregation of Random Forest, Adaboost, and LSTM, was crowned the winner.","PeriodicalId":312057,"journal":{"name":"2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115653708","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 : 2022-07-15DOI: 10.1109/ICSES55317.2022.9914057
S. Thylashri, D. Femi, V. Jawahar, D. Santhakumar, Y. V. R. Reddy
Disability of deaf and dumb is one of the major significant problems in the human world. The development of technologies for recognition of deaf and dumb impaired peoples is done by several methodologies. One of the most significant components in helping sign language users to communicate with the rest of society is recognizing sign language. Machine learning and image categorization can help computers in recognizing sign language, which can subsequently be deciphered by others. In this paper, convolutional neural networks were used to recognize sign language motions by recognizing the symbolic hand gestures of deaf and dumb impaired peoples. Deaf and dumb persons acquire sign language, which is largely unknown to normal people. This makes it challenging for regular people to communicate with disabled people who are deaf and dumb. The main focus of our paper is to make predictions of hand gestures from deaf and dumb peoples. Our paper recognizes different types of hand gestures as input and make predictions with accuracy level based on pre-trained dataset models by using Convolutional Neural Network (CNN) Algorithm.
{"title":"Human Sign Language Recognition Using Deep Learning","authors":"S. Thylashri, D. Femi, V. Jawahar, D. Santhakumar, Y. V. R. Reddy","doi":"10.1109/ICSES55317.2022.9914057","DOIUrl":"https://doi.org/10.1109/ICSES55317.2022.9914057","url":null,"abstract":"Disability of deaf and dumb is one of the major significant problems in the human world. The development of technologies for recognition of deaf and dumb impaired peoples is done by several methodologies. One of the most significant components in helping sign language users to communicate with the rest of society is recognizing sign language. Machine learning and image categorization can help computers in recognizing sign language, which can subsequently be deciphered by others. In this paper, convolutional neural networks were used to recognize sign language motions by recognizing the symbolic hand gestures of deaf and dumb impaired peoples. Deaf and dumb persons acquire sign language, which is largely unknown to normal people. This makes it challenging for regular people to communicate with disabled people who are deaf and dumb. The main focus of our paper is to make predictions of hand gestures from deaf and dumb peoples. Our paper recognizes different types of hand gestures as input and make predictions with accuracy level based on pre-trained dataset models by using Convolutional Neural Network (CNN) Algorithm.","PeriodicalId":312057,"journal":{"name":"2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116964126","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 : 2022-07-15DOI: 10.1109/ICSES55317.2022.9914212
S. R, Kanisha B
Data mining is a concept of getting relevant data from massive databases. Nowadays, there is a lack of Prediction of disease is increased predominantly. Hence, we need to remove the inaccurate data that has been spread over in the dataset, which leads to inaccurately predicting disease. Outliers are more prone to prediction mechanisms. This paper includes the detection of outliers in disease prediction mechanisms. The goal of this paper is to bring out exact data instead of getting invalid data by finding outliers and handling them with care. Outliers can be detected using a KNN based peak-LOF based approach with manhattan distance metrics. In this paper, a proper study on outlier detection mechanisms has been done.
{"title":"KNN Based Peak-LOF for Outlier Detection","authors":"S. R, Kanisha B","doi":"10.1109/ICSES55317.2022.9914212","DOIUrl":"https://doi.org/10.1109/ICSES55317.2022.9914212","url":null,"abstract":"Data mining is a concept of getting relevant data from massive databases. Nowadays, there is a lack of Prediction of disease is increased predominantly. Hence, we need to remove the inaccurate data that has been spread over in the dataset, which leads to inaccurately predicting disease. Outliers are more prone to prediction mechanisms. This paper includes the detection of outliers in disease prediction mechanisms. The goal of this paper is to bring out exact data instead of getting invalid data by finding outliers and handling them with care. Outliers can be detected using a KNN based peak-LOF based approach with manhattan distance metrics. In this paper, a proper study on outlier detection mechanisms has been done.","PeriodicalId":312057,"journal":{"name":"2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127156281","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 : 2022-07-15DOI: 10.1109/ICSES55317.2022.9914118
Rajesh Doss
The morphology of blood vessels in retinal fundus images is a good predictor of glaucoma, hypertension, and diabetic retinopathy. To discover and analyze any anomalies, retinal image analysis normally includes segmentation of the blood vessels, optical disc segmentation, and fovea segmentation. The consistency of retinal image analysis employed in modern ophthalmology diagnostic methods is influenced by the precision of retinal blood vessel segmentation. It is based on the idea that migrating from manual and traditional techniques to automated systems will improve accuracy by eliminating manual detection method faults while also lowering the tediously long time required for manual observation and detection. Therefore, there is a need to develop and build an effective and intelligent machine learning model for detecting and extracting retinal blood vessels. The suggested approach is unique in that it uses a nature-inspired technique called the ant colony algorithm to optimize the soft computing model. The proposed model's segmentation accuracy is projected in the final section of the analysis. It can be seen that the proposed technique is capable of improving the segmented output by 98.5 percent.
{"title":"An Optimized Soft Computing Model Using Neural Network with ANT Colony Optimization Algorithm for Retinal Image Segmentation","authors":"Rajesh Doss","doi":"10.1109/ICSES55317.2022.9914118","DOIUrl":"https://doi.org/10.1109/ICSES55317.2022.9914118","url":null,"abstract":"The morphology of blood vessels in retinal fundus images is a good predictor of glaucoma, hypertension, and diabetic retinopathy. To discover and analyze any anomalies, retinal image analysis normally includes segmentation of the blood vessels, optical disc segmentation, and fovea segmentation. The consistency of retinal image analysis employed in modern ophthalmology diagnostic methods is influenced by the precision of retinal blood vessel segmentation. It is based on the idea that migrating from manual and traditional techniques to automated systems will improve accuracy by eliminating manual detection method faults while also lowering the tediously long time required for manual observation and detection. Therefore, there is a need to develop and build an effective and intelligent machine learning model for detecting and extracting retinal blood vessels. The suggested approach is unique in that it uses a nature-inspired technique called the ant colony algorithm to optimize the soft computing model. The proposed model's segmentation accuracy is projected in the final section of the analysis. It can be seen that the proposed technique is capable of improving the segmented output by 98.5 percent.","PeriodicalId":312057,"journal":{"name":"2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127227392","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 : 2022-07-15DOI: 10.1109/ICSES55317.2022.9914333
Shahina T N, M. Ebenezer, A. Bisharathu Beevi
Electrical grid stability is a major concern with large-scale solar integration. The dynamics of a solar photovoltaic system can be triggered with variation in solar irradiance. Existing PV generator models in which the dynamics are included utilize implicit equations that insist on specific software and iterative solution algorithm. A state space representation model is used to reduce computational difficulty. Lambert W-function is in-cooperated to enumerate solar PV generators equation in explicit form. Here a dynamic controlled two-stage PV model is grid interconnected through a 3-phase inverter (voltage source). The inverter is to stay connected under any disturbance to the grid. This paper proposes a modified dq scheme with synchronous reference frame to control the inverter connecting the solar photovoltaic (SPV) system and the grid. Dual closed-loop control is used to connect dynamic controlled two-stage PV model to the grid using grid- connected (3-phase) VSI. The MATLAB/SIMULINK environment is used to perform the study.
{"title":"State-Space representation of D-Q Controlled Grid Integrated Photovoltaic at Utility level","authors":"Shahina T N, M. Ebenezer, A. Bisharathu Beevi","doi":"10.1109/ICSES55317.2022.9914333","DOIUrl":"https://doi.org/10.1109/ICSES55317.2022.9914333","url":null,"abstract":"Electrical grid stability is a major concern with large-scale solar integration. The dynamics of a solar photovoltaic system can be triggered with variation in solar irradiance. Existing PV generator models in which the dynamics are included utilize implicit equations that insist on specific software and iterative solution algorithm. A state space representation model is used to reduce computational difficulty. Lambert W-function is in-cooperated to enumerate solar PV generators equation in explicit form. Here a dynamic controlled two-stage PV model is grid interconnected through a 3-phase inverter (voltage source). The inverter is to stay connected under any disturbance to the grid. This paper proposes a modified dq scheme with synchronous reference frame to control the inverter connecting the solar photovoltaic (SPV) system and the grid. Dual closed-loop control is used to connect dynamic controlled two-stage PV model to the grid using grid- connected (3-phase) VSI. The MATLAB/SIMULINK environment is used to perform the study.","PeriodicalId":312057,"journal":{"name":"2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123418712","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 : 2022-07-15DOI: 10.1109/ICSES55317.2022.9914036
K. Joshi, Virender Khurana, Ch. Sivarama Krishna, M. Azam, Yashpal Singh, Lalit Johari
The continued increase in greenhouse gas levels causes glaciers to melt, sea levels to rise, and rain forests to die. We must minimise our usage of fossil fuels in order to reduce greenhouse gas emissions. Electric cars' energy storage systems play a crucial part in this scenario, allowing them to exchange energy with the grid or with the house, depending on the power need. The control framework of a bi-directional wireless charger for an electric car connected to the smart home grid is the subject of this research. Furthermore, it addresses an electric vehicle's charging and discharging control infrastructure under various loading scenarios. The control structure is based on phase synchronisation between active H-bridge primary and secondary converters, with phase shift technology doing the actual control. Finally, a method for achieving optimum power flow and efficiency while still satisfying the smart house criterion is explored.
{"title":"Smart Routing System in Wireless Sensor Networks","authors":"K. Joshi, Virender Khurana, Ch. Sivarama Krishna, M. Azam, Yashpal Singh, Lalit Johari","doi":"10.1109/ICSES55317.2022.9914036","DOIUrl":"https://doi.org/10.1109/ICSES55317.2022.9914036","url":null,"abstract":"The continued increase in greenhouse gas levels causes glaciers to melt, sea levels to rise, and rain forests to die. We must minimise our usage of fossil fuels in order to reduce greenhouse gas emissions. Electric cars' energy storage systems play a crucial part in this scenario, allowing them to exchange energy with the grid or with the house, depending on the power need. The control framework of a bi-directional wireless charger for an electric car connected to the smart home grid is the subject of this research. Furthermore, it addresses an electric vehicle's charging and discharging control infrastructure under various loading scenarios. The control structure is based on phase synchronisation between active H-bridge primary and secondary converters, with phase shift technology doing the actual control. Finally, a method for achieving optimum power flow and efficiency while still satisfying the smart house criterion is explored.","PeriodicalId":312057,"journal":{"name":"2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115989048","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 : 2022-07-15DOI: 10.1109/ICSES55317.2022.9914253
Chakka Venkata Rama Krishna, A. Raja
Aim : The aim of the work is to do a comparative analysis design of an innovative Rectangular Microstrip patch antenna by using Rt Duroid substrate and compare it with the gain of MIMO antenna. For comparative analysis, two groups namely innovative Rectangular Microstrip patch antenna and Circular patch antenna are considered. The total sample size is 20. Pretest power for the samples is 80%. Results are obtained in the post feko. The gain of a rectangular microstrip antenna at 7.2 GHz is 3.8 dbi and for the MIMO antenna is 2.6 dbi at the same frequency. The significance obtained in SPSS is 0.012. From the results obtained, it is clear that the rectangular microstrip patch antenna has higher gain than the MIMO antenna for Wireless communication.
{"title":"Comparison on gain enhancement in Innovative Rectangular Microstrip patch antenna at 7.2GHz using Rt duroid substrate with MIMO antenna for Wireless Communications","authors":"Chakka Venkata Rama Krishna, A. Raja","doi":"10.1109/ICSES55317.2022.9914253","DOIUrl":"https://doi.org/10.1109/ICSES55317.2022.9914253","url":null,"abstract":"Aim : The aim of the work is to do a comparative analysis design of an innovative Rectangular Microstrip patch antenna by using Rt Duroid substrate and compare it with the gain of MIMO antenna. For comparative analysis, two groups namely innovative Rectangular Microstrip patch antenna and Circular patch antenna are considered. The total sample size is 20. Pretest power for the samples is 80%. Results are obtained in the post feko. The gain of a rectangular microstrip antenna at 7.2 GHz is 3.8 dbi and for the MIMO antenna is 2.6 dbi at the same frequency. The significance obtained in SPSS is 0.012. From the results obtained, it is clear that the rectangular microstrip patch antenna has higher gain than the MIMO antenna for Wireless communication.","PeriodicalId":312057,"journal":{"name":"2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116244446","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 : 2022-07-15DOI: 10.1109/ICSES55317.2022.9914050
R. Raffik, Virendra Singh, Sumit Kumar, Joel Alanya-Beltran, Patel Yogeshkumar Jethabhai, Rajesh Singh
In today's world, autonomous automation is inspiring researchers, and growing human needs are driving students and scientists to build new automation devices. This paper will help you understand the changing trends in self-driving car technology. Advances and upgrades in technology have improved their performance and usage. The most important requirement for an automated device or vehicle is the Communication between them. In addition, the Government of India attaches great importance to military progress. In this regard, this paper focuses on a perfect connection system between remote controlled bots, as long as the connection is not an obstacle. To achieve this goal, the relay device (with Raspberry Pi) is configured as a repeater of the connection network that connects the remote control to the vehicle (bot). In this project, the Wi-Fi adapter will act as a beacon or extender to extend the connectivity and range of remote vehicles. This connection allows the bot to easily capture live feeds and send data for face recognition on the receiving side. This project leverages advanced research on network configurations and intercommunication schemes for IoT devices. The range of remote connections is Extended by the relay chain method. This further improves the connection with the bot through subsequent relay bots, making data transmissions untraceable and encrypted. By using existing algorithms, obstacles and Suspicious activity can be easily detected and sent to military bases.
{"title":"IOT based Electric Vehicles - Implementation","authors":"R. Raffik, Virendra Singh, Sumit Kumar, Joel Alanya-Beltran, Patel Yogeshkumar Jethabhai, Rajesh Singh","doi":"10.1109/ICSES55317.2022.9914050","DOIUrl":"https://doi.org/10.1109/ICSES55317.2022.9914050","url":null,"abstract":"In today's world, autonomous automation is inspiring researchers, and growing human needs are driving students and scientists to build new automation devices. This paper will help you understand the changing trends in self-driving car technology. Advances and upgrades in technology have improved their performance and usage. The most important requirement for an automated device or vehicle is the Communication between them. In addition, the Government of India attaches great importance to military progress. In this regard, this paper focuses on a perfect connection system between remote controlled bots, as long as the connection is not an obstacle. To achieve this goal, the relay device (with Raspberry Pi) is configured as a repeater of the connection network that connects the remote control to the vehicle (bot). In this project, the Wi-Fi adapter will act as a beacon or extender to extend the connectivity and range of remote vehicles. This connection allows the bot to easily capture live feeds and send data for face recognition on the receiving side. This project leverages advanced research on network configurations and intercommunication schemes for IoT devices. The range of remote connections is Extended by the relay chain method. This further improves the connection with the bot through subsequent relay bots, making data transmissions untraceable and encrypted. By using existing algorithms, obstacles and Suspicious activity can be easily detected and sent to military bases.","PeriodicalId":312057,"journal":{"name":"2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","volume":"85 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121868342","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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