Pub Date : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776454
Dharmendra Ambani, Kishor H. Atkotiya
Privacy Preserving Data-Mining is the major use of data- mining methods for ensuring privacy of personal information. Data-mining algorithms search for the information that is most valuable. A major aspect of Privacy Preserving Data Mining is the safeguarding of sensitive information against unauthorized access. The Secure Data Contribution Retrieval algorithm assigns a privacy policy and security is assigned depending on the application needs and compatibility. This method is capable of meeting the requirements for numerous datasets. Currently, social media sites such as Facebook, Twitter, and YouTube are quite popular. Then, the expanded attribute-based encryption methodology allows users to transfer data contents across orbit software networks. Data leakage occurs during the gathering and storage of user Orbit Software Networks in an insecure distributed or centralized system. Third, the suggested Level by Level Security Optimization and Content Visualization algorithm helps prevent privacy problems when sharing information and visualizing data. They use privacy levels at the individual level following the assessment of the privacy compatibility of orbit software networks application. Experimental analysis employs the data from social datasets.
{"title":"Secure Data Contribution and Retrieval in Social Networks Using Effective Privacy Preserving Data Mining Techniques","authors":"Dharmendra Ambani, Kishor H. Atkotiya","doi":"10.1109/CCGE50943.2021.9776454","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776454","url":null,"abstract":"Privacy Preserving Data-Mining is the major use of data- mining methods for ensuring privacy of personal information. Data-mining algorithms search for the information that is most valuable. A major aspect of Privacy Preserving Data Mining is the safeguarding of sensitive information against unauthorized access. The Secure Data Contribution Retrieval algorithm assigns a privacy policy and security is assigned depending on the application needs and compatibility. This method is capable of meeting the requirements for numerous datasets. Currently, social media sites such as Facebook, Twitter, and YouTube are quite popular. Then, the expanded attribute-based encryption methodology allows users to transfer data contents across orbit software networks. Data leakage occurs during the gathering and storage of user Orbit Software Networks in an insecure distributed or centralized system. Third, the suggested Level by Level Security Optimization and Content Visualization algorithm helps prevent privacy problems when sharing information and visualizing data. They use privacy levels at the individual level following the assessment of the privacy compatibility of orbit software networks application. Experimental analysis employs the data from social datasets.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129831598","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 : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776464
A. Dubey, Anmol Gulati, Ayush Choubey, S. Jaikar, Pranav More
Driving a vehicle at night or in low levels of natural light poses many risks, one of which is caused by the vehicle's headlight. Many drivers prefer to use high beam headlights while driving at night, which improves visibility by allowing them to see a larger area ahead of them. Aside from providing increased visibility and a clearer view of the road ahead, these high beams can strain the eyes of the driver of the vehicle approaching from the opposite direction. This strain on the eyes of the driver can cause a glare effect for a slight duration which can disrupt the vision of the driver and may cause accidents. The glare effect is caused by the use of high beam headlights from the opposite end of the vehicle. The system under consideration uses a LED matrix (Hardware module) in addition to a trained object detection module and a live camera feed (Software module) to detect vehicles, acquire their positions to control the LEDs in our matrix, and control the intensities of those LEDs. Using this system, we aim to control the headlights in an optimized way to reduce the glare effect from impacting the drivers of oncoming vehicles and also illuminate the road ahead without compromising the visibility of the driver. The model assists in overcoming the dizziness or glare effect that a driver may encounter while driving in the dark. It also aims to eliminate the need for the driver to manually control the headlights, which is rarely used.
{"title":"Adaptive Headlight System for Reducing the Dazzling Effect to Prevent Road Accident","authors":"A. Dubey, Anmol Gulati, Ayush Choubey, S. Jaikar, Pranav More","doi":"10.1109/CCGE50943.2021.9776464","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776464","url":null,"abstract":"Driving a vehicle at night or in low levels of natural light poses many risks, one of which is caused by the vehicle's headlight. Many drivers prefer to use high beam headlights while driving at night, which improves visibility by allowing them to see a larger area ahead of them. Aside from providing increased visibility and a clearer view of the road ahead, these high beams can strain the eyes of the driver of the vehicle approaching from the opposite direction. This strain on the eyes of the driver can cause a glare effect for a slight duration which can disrupt the vision of the driver and may cause accidents. The glare effect is caused by the use of high beam headlights from the opposite end of the vehicle. The system under consideration uses a LED matrix (Hardware module) in addition to a trained object detection module and a live camera feed (Software module) to detect vehicles, acquire their positions to control the LEDs in our matrix, and control the intensities of those LEDs. Using this system, we aim to control the headlights in an optimized way to reduce the glare effect from impacting the drivers of oncoming vehicles and also illuminate the road ahead without compromising the visibility of the driver. The model assists in overcoming the dizziness or glare effect that a driver may encounter while driving in the dark. It also aims to eliminate the need for the driver to manually control the headlights, which is rarely used.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128381485","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 : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776437
Sparsh Amarnani, N. Bhagat, Hritwik Ekade, Ajay Gupta, Sunita Sahu
MOOCs, after first being introduced in 2008, have since drawn attention around the world for their advantages and also criticism of their drawbacks. Interactivity with the instructor and personalized experience while learning are some of the main aspects in which the current MOOCs show scope of improvement. In this paper, we are proposing a novel chatbot architecture that can act as teaching assistance to answer queries faced by learners in MOOCs. The chatbot will be trained on the course material using the popular ALBERT model to develop its knowledge base. The chatbot will answer a large number of student's queries, thus reducing the workload of the instructor(s) to answer all the queries. This will open a new avenue for instructor-chatbot-learner interaction, where all of these three will compound each other's value.
{"title":"A Complete Chatbot based Architecture for answering user's Course-related queries in MOOC platforms","authors":"Sparsh Amarnani, N. Bhagat, Hritwik Ekade, Ajay Gupta, Sunita Sahu","doi":"10.1109/CCGE50943.2021.9776437","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776437","url":null,"abstract":"MOOCs, after first being introduced in 2008, have since drawn attention around the world for their advantages and also criticism of their drawbacks. Interactivity with the instructor and personalized experience while learning are some of the main aspects in which the current MOOCs show scope of improvement. In this paper, we are proposing a novel chatbot architecture that can act as teaching assistance to answer queries faced by learners in MOOCs. The chatbot will be trained on the course material using the popular ALBERT model to develop its knowledge base. The chatbot will answer a large number of student's queries, thus reducing the workload of the instructor(s) to answer all the queries. This will open a new avenue for instructor-chatbot-learner interaction, where all of these three will compound each other's value.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127290608","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 : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776458
Manish Sharma, Namrata Choudhary, Rakesh Ahuja, S. Malhotra
In this reported-work, a compact MIMO antenna with 2x2 configuration is proposed for 5G applications working at 28GHz and 38GHz bands. The proposed antenna is useful for IoT (Internet of Things) and smart city applications. The designed antenna consist of rectangular patch printed on one plane of Rogers RTDuroid Substrate and ground on the opposite plane. Also, single element antenna is modified as MIMO antenna configuration by placing the radiating elements in adjacent or orthogonal configuration. The proposed antenna is validated by sketching the results in frequency domain and far-field region. Also, the parameter such as ECC, DG, TARC and CCL are evaluated which validates the diversity performance.
{"title":"A Compact Multiband 2x2 MIMO Antenna For 5G 28GHz/38GHz IoT and Smart City Applications","authors":"Manish Sharma, Namrata Choudhary, Rakesh Ahuja, S. Malhotra","doi":"10.1109/CCGE50943.2021.9776458","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776458","url":null,"abstract":"In this reported-work, a compact MIMO antenna with 2x2 configuration is proposed for 5G applications working at 28GHz and 38GHz bands. The proposed antenna is useful for IoT (Internet of Things) and smart city applications. The designed antenna consist of rectangular patch printed on one plane of Rogers RTDuroid Substrate and ground on the opposite plane. Also, single element antenna is modified as MIMO antenna configuration by placing the radiating elements in adjacent or orthogonal configuration. The proposed antenna is validated by sketching the results in frequency domain and far-field region. Also, the parameter such as ECC, DG, TARC and CCL are evaluated which validates the diversity performance.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"124-125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133677675","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 : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776428
Manish Sharma, Harsh Malhotra, S. Panda, S. Malhotra
The research paper reports presents two port multi-input-multi-output (MIMO) antenna were RF Substrate Rogers RTDuroid5880 is used with bell-shaped radiator printed on top plane and rectangular slotted ground with chamfered edges. The antenna is very compact in size with dimensions $24text{mm}times 14text{mm}$. The antenna resonates at 28GHz with −10dB bandwidth of 27.14GHz-29.88GHz. This bandwidth is suitable for 5G 28GHz band for high speed applications useful for Internet-of-Things (IoT) which can be implemented for smart cities. The MIMO antenna provides good isolation and diversity performance. The antenna also offers maximum gain of 4.89dBi with desired radiation pattern. Some of the challenges in deployment of 5G technology is also discussed.
{"title":"Single Band 5G mmWave Two Port MIMO Antenna with Omnidirectional for High Speed Wireless Applications","authors":"Manish Sharma, Harsh Malhotra, S. Panda, S. Malhotra","doi":"10.1109/CCGE50943.2021.9776428","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776428","url":null,"abstract":"The research paper reports presents two port multi-input-multi-output (MIMO) antenna were RF Substrate Rogers RTDuroid5880 is used with bell-shaped radiator printed on top plane and rectangular slotted ground with chamfered edges. The antenna is very compact in size with dimensions $24text{mm}times 14text{mm}$. The antenna resonates at 28GHz with −10dB bandwidth of 27.14GHz-29.88GHz. This bandwidth is suitable for 5G 28GHz band for high speed applications useful for Internet-of-Things (IoT) which can be implemented for smart cities. The MIMO antenna provides good isolation and diversity performance. The antenna also offers maximum gain of 4.89dBi with desired radiation pattern. Some of the challenges in deployment of 5G technology is also discussed.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117181446","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 : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776473
D. Vasanthi, T. Sivasakthi, V. Abarna, R. Arthi
Lately, the necessity of car rental services around the world have been increased and growing quicky as cars have become the most convenient modes of transportation. If any urgent trip is ahead people can rely on the car rental service as they provide us immediate transportation. It is really time -consuming and difficult to find cars using traditional methods before a stipulated price and time. The refore, using online websites it is easy to reserve your car at the stipulated price and time, it also makes the listed cars accessible by just a simple reservation which comes handy. This website allows a user not only to book a car but also to host a car to earn from renting. Only verified users can book a car for rental and verification is done using a Driving Lice nse. The cars are tabulated by obtaining the location from the user. Filters can be applied to the listing like price the listing will be shown with the owner's name and details for contact purpose. Building a web application with React JS and Node JS the website a lot faster, increases productive ness, and also helpful for SEO. MongoDB database is a database with no schema and with good scalability, hence the management of data becomes handy, which helps the user to avoid delay and hardship in the process.
{"title":"Design and Development of Car RentalWebsite Using Mern Stack","authors":"D. Vasanthi, T. Sivasakthi, V. Abarna, R. Arthi","doi":"10.1109/CCGE50943.2021.9776473","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776473","url":null,"abstract":"Lately, the necessity of car rental services around the world have been increased and growing quicky as cars have become the most convenient modes of transportation. If any urgent trip is ahead people can rely on the car rental service as they provide us immediate transportation. It is really time -consuming and difficult to find cars using traditional methods before a stipulated price and time. The refore, using online websites it is easy to reserve your car at the stipulated price and time, it also makes the listed cars accessible by just a simple reservation which comes handy. This website allows a user not only to book a car but also to host a car to earn from renting. Only verified users can book a car for rental and verification is done using a Driving Lice nse. The cars are tabulated by obtaining the location from the user. Filters can be applied to the listing like price the listing will be shown with the owner's name and details for contact purpose. Building a web application with React JS and Node JS the website a lot faster, increases productive ness, and also helpful for SEO. MongoDB database is a database with no schema and with good scalability, hence the management of data becomes handy, which helps the user to avoid delay and hardship in the process.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"15 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124465058","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 : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776405
S. Pangaonkar, R. Gunjan, Virendra Shete
Voice Emotion Recognition (VER) is a dynamic and has implications on a wide range of research areas. Use of a computer for voice emotion recognition is a way to study the voice signal of a speaker, as well as is a process that is altered by inner emotions. Human Machine Interface (HMI) is very vital and opted to implement this effectively and an innovative way. To develop new recognition methods, this research paper evaluates the basic emotions of human. Accurate detection of emotional states can be further used as a machine learning database for interdisciplinary experiments. The proposed system is an algorithmic method that first extracts the audio signal from the microphone, preprocesses it, and then evaluates the parameters based on various characteristics. The model is trained through the Mel Frequency Cepstral Coefficient (MFCC) and PRAAT (Speech Analysis in Phonetics) coefficients. By creating a feature map using these, Convolutional Neural Networks (CNN) effectively learn and classify the attributes of perceived signals of basic emotions such as sadness, surprise, happiness, anger, fear, neutral and disgust. The proposed method provides good recognition rate.
{"title":"Recognition of Human Emotion through effective estimations of Features and Classification Model","authors":"S. Pangaonkar, R. Gunjan, Virendra Shete","doi":"10.1109/CCGE50943.2021.9776405","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776405","url":null,"abstract":"Voice Emotion Recognition (VER) is a dynamic and has implications on a wide range of research areas. Use of a computer for voice emotion recognition is a way to study the voice signal of a speaker, as well as is a process that is altered by inner emotions. Human Machine Interface (HMI) is very vital and opted to implement this effectively and an innovative way. To develop new recognition methods, this research paper evaluates the basic emotions of human. Accurate detection of emotional states can be further used as a machine learning database for interdisciplinary experiments. The proposed system is an algorithmic method that first extracts the audio signal from the microphone, preprocesses it, and then evaluates the parameters based on various characteristics. The model is trained through the Mel Frequency Cepstral Coefficient (MFCC) and PRAAT (Speech Analysis in Phonetics) coefficients. By creating a feature map using these, Convolutional Neural Networks (CNN) effectively learn and classify the attributes of perceived signals of basic emotions such as sadness, surprise, happiness, anger, fear, neutral and disgust. The proposed method provides good recognition rate.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"312 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120983874","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 : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776395
Priyanka Pitale, D. Karia, Manish Parmar
Entire world got hit by a pandemic due to COVID-19 virus. This virus had a huge toll on the human race which is the reason there is a need to detect such a threat on anearly stage. To detect the virus, some of its symptoms like high fever, cough, cold, and congestion in lungs. Spreading of this virus occurs due to a physical touch between two living or non-living surfaces. Therefore, constant sanitization is required in the contaminated zones. An advanced machine that can take a human X-ray and analyze for infection, check the temperature of the body as well as sanitize while a person is leaving can be a boon to detect cases early. In the entry stage, an X-ray machinewill take a chest X-ray of the person and use machine learning classifiers in order to detect any infection in lungs. On the second stage a temperature monitoring device using infrared sensor will check for high or low temperatures. Alongside, a sterilizing unit having UVC rays will disinfect the person in front of it. In this way, an instant checkup for COVID-19symptoms can help to eradicate the virus. This system can be used for offices, public places as well as medical facilities for detection of the virus.
{"title":"Temperature Monitoring and Application of Machine Learning in Radiology for COVID-19 Pandemic","authors":"Priyanka Pitale, D. Karia, Manish Parmar","doi":"10.1109/CCGE50943.2021.9776395","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776395","url":null,"abstract":"Entire world got hit by a pandemic due to COVID-19 virus. This virus had a huge toll on the human race which is the reason there is a need to detect such a threat on anearly stage. To detect the virus, some of its symptoms like high fever, cough, cold, and congestion in lungs. Spreading of this virus occurs due to a physical touch between two living or non-living surfaces. Therefore, constant sanitization is required in the contaminated zones. An advanced machine that can take a human X-ray and analyze for infection, check the temperature of the body as well as sanitize while a person is leaving can be a boon to detect cases early. In the entry stage, an X-ray machinewill take a chest X-ray of the person and use machine learning classifiers in order to detect any infection in lungs. On the second stage a temperature monitoring device using infrared sensor will check for high or low temperatures. Alongside, a sterilizing unit having UVC rays will disinfect the person in front of it. In this way, an instant checkup for COVID-19symptoms can help to eradicate the virus. This system can be used for offices, public places as well as medical facilities for detection of the virus.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121679232","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 : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776411
Harsh Sudhanshu Sahu, Nellutla Himanish, K. Hiran, Janapala Leha
In this 21st century, one of the major issues faced by humans is, how to deal with the wastage of electricity. Mostly due to the carelessness of the management of the lamps or the streetlights are left ON in many places and one of the main sources of this wastage of electricity is in the sports complexes. In our paper, we try to solve this problem by using solar panels, and in addition to the proper utilization of electrical energy and water, we are using specific light and soil moisture sensors. To the maximum extend, our paper helps us to overcome the problems faced. The lights will be automatically turned on and turned off depending on the sunlight intensity, and also the water pumps will be controlled according to the moisture level present in the ground. The solar sensor which we are using is BH-1750 gives accurate values when compared with other sensors. In this research, we have collected the data on sunlight intensity which can be used further for developing a Machine Learning algorithm.
{"title":"Design of Automatic Lighting System based on Intensity of Sunlight using BH-1750","authors":"Harsh Sudhanshu Sahu, Nellutla Himanish, K. Hiran, Janapala Leha","doi":"10.1109/CCGE50943.2021.9776411","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776411","url":null,"abstract":"In this 21st century, one of the major issues faced by humans is, how to deal with the wastage of electricity. Mostly due to the carelessness of the management of the lamps or the streetlights are left ON in many places and one of the main sources of this wastage of electricity is in the sports complexes. In our paper, we try to solve this problem by using solar panels, and in addition to the proper utilization of electrical energy and water, we are using specific light and soil moisture sensors. To the maximum extend, our paper helps us to overcome the problems faced. The lights will be automatically turned on and turned off depending on the sunlight intensity, and also the water pumps will be controlled according to the moisture level present in the ground. The solar sensor which we are using is BH-1750 gives accurate values when compared with other sensors. In this research, we have collected the data on sunlight intensity which can be used further for developing a Machine Learning algorithm.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125198568","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 : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776356
S. V. Raut, D. M. Yadav
Epilepsy is a chronic nontransmissible brain disease that affects all ages people. Worldwide epilepsy burden is about 50 million making it a common neurological disease (WHO). Generally, Epilepsy is detected using history and EEG analysis. But this method is time and data-consuming as EEG signals appear to be normal after some time in the conversions. This paper proposed a methodology for the detection of Epilepsy by integrating the fMRI and EEG analysis. Features (mean, standard deviation, and power spectral density) are extracted and provided to the SVM classifier. SVM classifies the data with 94.44% of accuracy. The proposed method is found to have more accuracy than SCA, DCM, and DeepID existing methodologies. Further, accuracy can be improved by increasing the number of subjects and features.
{"title":"Detection of Epileptic Seizure using EEG- fMRI Integration","authors":"S. V. Raut, D. M. Yadav","doi":"10.1109/CCGE50943.2021.9776356","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776356","url":null,"abstract":"Epilepsy is a chronic nontransmissible brain disease that affects all ages people. Worldwide epilepsy burden is about 50 million making it a common neurological disease (WHO). Generally, Epilepsy is detected using history and EEG analysis. But this method is time and data-consuming as EEG signals appear to be normal after some time in the conversions. This paper proposed a methodology for the detection of Epilepsy by integrating the fMRI and EEG analysis. Features (mean, standard deviation, and power spectral density) are extracted and provided to the SVM classifier. SVM classifies the data with 94.44% of accuracy. The proposed method is found to have more accuracy than SCA, DCM, and DeepID existing methodologies. Further, accuracy can be improved by increasing the number of subjects and features.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126809123","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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