Pub Date : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9640719
P. Afsar, M. Faizudheen, Mohammed Jasim Anikkadan, P. Mohammed Rashad, U. Mohammed Shabeer
An event can be a social or life cycle event which includes, engagement, wedding or an education or career based events like workshops, seminars and so on. Events are everywhere, either conducted in physical mode or often in virtual mode. Finding a perfect event is always important as there will be multiple events scheduled within the scope of a single topic. This can be challenging at times as there are no perfect platforms which can give you the perfect selection for an event. If n number of events are available for the user there is no way to select the right event. So in this paper intelligent event finder management system helps people to find the proper event according to their convenience. There are multiple stages the event organizers needs to go on, such as registration, ticketing and so on. Doing all these processes manually takes a lot of time and effort and often times people will be tempted to cancel the entire event just because of these tedious tasks. And hence, the system will give all the event organizers a platform where they can create and their events, accept registrations, payments, on boarding and so on. Every process gets automated through the platform and the organizers can concentrate on the event agenda rather than the concentrating on all other time consuming tasks.
{"title":"Intelligent Event Finder and Management System","authors":"P. Afsar, M. Faizudheen, Mohammed Jasim Anikkadan, P. Mohammed Rashad, U. Mohammed Shabeer","doi":"10.1109/I-SMAC52330.2021.9640719","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640719","url":null,"abstract":"An event can be a social or life cycle event which includes, engagement, wedding or an education or career based events like workshops, seminars and so on. Events are everywhere, either conducted in physical mode or often in virtual mode. Finding a perfect event is always important as there will be multiple events scheduled within the scope of a single topic. This can be challenging at times as there are no perfect platforms which can give you the perfect selection for an event. If n number of events are available for the user there is no way to select the right event. So in this paper intelligent event finder management system helps people to find the proper event according to their convenience. There are multiple stages the event organizers needs to go on, such as registration, ticketing and so on. Doing all these processes manually takes a lot of time and effort and often times people will be tempted to cancel the entire event just because of these tedious tasks. And hence, the system will give all the event organizers a platform where they can create and their events, accept registrations, payments, on boarding and so on. Every process gets automated through the platform and the organizers can concentrate on the event agenda rather than the concentrating on all other time consuming tasks.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121466286","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9640811
Han Guo, Liu Jiang
This paper adopts web big data mining method to collect and mine the English and Chinese corpus, and designs an English-Chinese machine translation framework. First, create an English-Chinese parallel corpus based on big data, and use data mining to collect and mine the English-Chinese corpus. Then, based on the web big data method, a real-time English-Chinese machine translation framework was designed to realize vocabulary alignment, phrase alignment and syntactic knot alignment. Finally, the validity of the translation framework is verified through experimental data.
{"title":"Big-Data Based English-Chinese Corpus Collection and Mining and Machine Translation Framework","authors":"Han Guo, Liu Jiang","doi":"10.1109/I-SMAC52330.2021.9640811","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640811","url":null,"abstract":"This paper adopts web big data mining method to collect and mine the English and Chinese corpus, and designs an English-Chinese machine translation framework. First, create an English-Chinese parallel corpus based on big data, and use data mining to collect and mine the English-Chinese corpus. Then, based on the web big data method, a real-time English-Chinese machine translation framework was designed to realize vocabulary alignment, phrase alignment and syntactic knot alignment. Finally, the validity of the translation framework is verified through experimental data.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128757483","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9640944
M. Purushotham Reddy, A. Aneesh, K. Praneetha, S. Vijay
This paper analyzes the presentation of the machine learning algorithm, linear regression for prediction of global temperature and carbon emissions from previous years collected data over India. The forecast of long-term global warming and weather conditions could be of huge significance in various fields, such as climate research, farming, electricity, medicine, and many more. The data is calculated and predicted by linear regression since, of all the techniques that can be used, it obtains the highest precision for global warming and temperature. First ever step is to design a consistent, effective, reliable statistical data model on a broad data set and ultimately bring the relationship between average annual temperature and contributing factors to global warming. Global temperature reduction will benefit the entire globe because not only Humans but also various animals suffer from global warming.
{"title":"Global Warming Analysis and Prediction Using Data Science","authors":"M. Purushotham Reddy, A. Aneesh, K. Praneetha, S. Vijay","doi":"10.1109/I-SMAC52330.2021.9640944","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640944","url":null,"abstract":"This paper analyzes the presentation of the machine learning algorithm, linear regression for prediction of global temperature and carbon emissions from previous years collected data over India. The forecast of long-term global warming and weather conditions could be of huge significance in various fields, such as climate research, farming, electricity, medicine, and many more. The data is calculated and predicted by linear regression since, of all the techniques that can be used, it obtains the highest precision for global warming and temperature. First ever step is to design a consistent, effective, reliable statistical data model on a broad data set and ultimately bring the relationship between average annual temperature and contributing factors to global warming. Global temperature reduction will benefit the entire globe because not only Humans but also various animals suffer from global warming.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114505570","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9640738
Bhavna Galhotra
With an evolution of 5G technologies there is a drastic change in the industries and usage of internet. After the pandemic has hit the world there is an emergence of data with the usage of online transactions, online studies, exchange of good and services over the internet. Since there is an increase in the use of the internet and online applications more and more of the data is being generated and used. There is a paradigm shift in the Mobile commerce, with the use of mobile commerce there are various opportunities and challenges connected with it. M Commerce is exchange of goods and services over the internet using PDA’s. The advantage of M commerce is it can be done anytime and anywhere. With this there is a tremendous growth in the use of smart phones and most of the E commerce organizations are now using the applications based business models for buying and selling goods and services. The current study investigates how Big data is used and considered to be the biggest challenge for the M commerce business processing’s. The data is ballooning in the size with the usage of the applications, companies are utilizing the data for satisfying the customers’ requirements and benefitting the consumers with an increase in the profit for the organization as well. Along with this big data companies are also using the business technologies, artificial Intelligence and Machine Learning to advertise and attract the customers’ demands. In this paper author has discussed about the needs and challenges of the big data in Mobile commerce with smooth functioning of with the security concerns. Also the author has suggested that the block chain technology can also play a vital role in the use of the data for better functioning. It can massively change the functionality of the M commerce application performance as well.
{"title":"Big Data: An opportunity and Challenge for M commerce","authors":"Bhavna Galhotra","doi":"10.1109/I-SMAC52330.2021.9640738","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640738","url":null,"abstract":"With an evolution of 5G technologies there is a drastic change in the industries and usage of internet. After the pandemic has hit the world there is an emergence of data with the usage of online transactions, online studies, exchange of good and services over the internet. Since there is an increase in the use of the internet and online applications more and more of the data is being generated and used. There is a paradigm shift in the Mobile commerce, with the use of mobile commerce there are various opportunities and challenges connected with it. M Commerce is exchange of goods and services over the internet using PDA’s. The advantage of M commerce is it can be done anytime and anywhere. With this there is a tremendous growth in the use of smart phones and most of the E commerce organizations are now using the applications based business models for buying and selling goods and services. The current study investigates how Big data is used and considered to be the biggest challenge for the M commerce business processing’s. The data is ballooning in the size with the usage of the applications, companies are utilizing the data for satisfying the customers’ requirements and benefitting the consumers with an increase in the profit for the organization as well. Along with this big data companies are also using the business technologies, artificial Intelligence and Machine Learning to advertise and attract the customers’ demands. In this paper author has discussed about the needs and challenges of the big data in Mobile commerce with smooth functioning of with the security concerns. Also the author has suggested that the block chain technology can also play a vital role in the use of the data for better functioning. It can massively change the functionality of the M commerce application performance as well.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115742369","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9640783
A. Akilandeswari, D. Sungeetha, Himanshu Shekhar, G. S. Annie Grace Vimala
Optical signals are transferred at a very high speed in Elastic Optical Network. The impairment of path between optical nodes leads to physical challenges of allocating paths. In this work an intuitive interpretation of paths and its blocking probability has been done in both cases of directed and undirected models. The purpose of Structured Probability Routing Estimation in Optical Networks (SPREON) is to describe the best probability path with route estimation. Significance in data transfer is achieved by considering direct and indirect interactions of the nodes reducing the blocking probability. Unstructured Probability Routing Estimation in Optical Networks (UPREON) group node based on position for data transfer and estimates the routes among the peer nodes. The third work denotes Support Vector Regression Routing Estimation in Optical Networks (SVRREON) is to convert the feature space of resources available between communicating nodes into a linear classifier using Support Vector machine. Thus the non linear process of data transfer is being transformed in linear classification and optical routing and feasible routes are estimated. Results are compared independently across the model and also with existing work for delay, blocking probability metrics.
在弹性光网络中，光信号的传输速度非常快。光节点间的路径损伤导致了路径分配的物理难题。在这项工作中，在有向和无向模型的情况下，对路径及其阻塞概率进行了直观的解释。光网络中结构化概率路由估计(SPREON)的目的是通过路由估计来描述最佳概率路径。通过考虑节点之间的直接和间接交互，降低阻塞概率，实现了数据传输的重要性。UPREON (Unstructured Probability Routing Estimation in Optical Networks)是一种基于位置的分组节点非结构化概率路由估计，用于数据传输，并估计对等节点之间的路由。第三个工作是光网络支持向量回归路由估计(SVRREON)，利用支持向量机将通信节点之间可用资源的特征空间转换为线性分类器。将数据传输的非线性过程转化为线性分类，并对光路由和可行路由进行了估计。结果在整个模型中独立进行比较，也与现有的延迟，阻塞概率指标进行比较。
{"title":"Quantitative analysis of Elastic Optical Networks using Probabilistic and Support Vector Regression Algorithms","authors":"A. Akilandeswari, D. Sungeetha, Himanshu Shekhar, G. S. Annie Grace Vimala","doi":"10.1109/I-SMAC52330.2021.9640783","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640783","url":null,"abstract":"Optical signals are transferred at a very high speed in Elastic Optical Network. The impairment of path between optical nodes leads to physical challenges of allocating paths. In this work an intuitive interpretation of paths and its blocking probability has been done in both cases of directed and undirected models. The purpose of Structured Probability Routing Estimation in Optical Networks (SPREON) is to describe the best probability path with route estimation. Significance in data transfer is achieved by considering direct and indirect interactions of the nodes reducing the blocking probability. Unstructured Probability Routing Estimation in Optical Networks (UPREON) group node based on position for data transfer and estimates the routes among the peer nodes. The third work denotes Support Vector Regression Routing Estimation in Optical Networks (SVRREON) is to convert the feature space of resources available between communicating nodes into a linear classifier using Support Vector machine. Thus the non linear process of data transfer is being transformed in linear classification and optical routing and feasible routes are estimated. Results are compared independently across the model and also with existing work for delay, blocking probability metrics.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116174839","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9640897
B. Chowdary, Jaina Kedarnath, R. Vyshnavi, Valluri Lavakush, Chavula Shashidhar
The healthcare industries acquire massive portions of facts which encompass some hidden information; it virtually is useful for making powerful options. For giving appropriate results as nicely as making dependable options on records, some modern-day-day facts enhancing strategies are used. In this check, A Reliable and additionally Reliable Heart Disease Prediction Version the usage of Distributed High Performance mild GBM is superior for predicting the risk diploma of coronary heart problem. The device makes use of 14 clinical specs collectively with age, sex, immoderate blood strain, ldl cholesterol, weight troubles and so on for prediction. The model anticipates the possibility of sufferers obtaining coronary heart trouble. It allows big records. E.G. Relationships in amongst clinical elements associated with coronary heart sickness similarly to styles, to be installation. The moderate slope improving technique has been used due to the training device. The received consequences have shown that the designed diagnostic device can efficaciously expect the threat of cardiovascular illness.
{"title":"An Effective and Efficient Heart Disease Prediction Model Using Distributed High Performance Light GBM","authors":"B. Chowdary, Jaina Kedarnath, R. Vyshnavi, Valluri Lavakush, Chavula Shashidhar","doi":"10.1109/I-SMAC52330.2021.9640897","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640897","url":null,"abstract":"The healthcare industries acquire massive portions of facts which encompass some hidden information; it virtually is useful for making powerful options. For giving appropriate results as nicely as making dependable options on records, some modern-day-day facts enhancing strategies are used. In this check, A Reliable and additionally Reliable Heart Disease Prediction Version the usage of Distributed High Performance mild GBM is superior for predicting the risk diploma of coronary heart problem. The device makes use of 14 clinical specs collectively with age, sex, immoderate blood strain, ldl cholesterol, weight troubles and so on for prediction. The model anticipates the possibility of sufferers obtaining coronary heart trouble. It allows big records. E.G. Relationships in amongst clinical elements associated with coronary heart sickness similarly to styles, to be installation. The moderate slope improving technique has been used due to the training device. The received consequences have shown that the designed diagnostic device can efficaciously expect the threat of cardiovascular illness.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114207689","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9641027
S. Sreelekshmi, S. Sankar
In this work, the design and analysis of wearable stub incorporated circular microstrip patch antenna resonating at 2.5 GHz frequency is proposed, which is flexible and compact. The substrate used for the proposed antenna is Arlon Diclad 1000, having a thickness of 1.6mm, with a dielectric constant of 10.2 and loss tangent 0.002. Arlon AD 1000 is a very flexible dielectric substrate that is suitable for wearable applications. The suggested flexible antenna’s overall dimensions are 35x30x1.6 mm3. Based on the finite element method, the antenna parameters, including return loss, VSWR, gain, directivity, and radiation efficiency, are studied and validated using Ansys High-Frequency Structure Simulator software. The proposed antenna provides 2.5511 dB gain, -14.2876 dB return loss, 66 MHz bandwidth based on |S11| ≤ 10 dB, the directivity of 3.2928 dB, and 84.3 percent radiation efficiency, according to the simulation findings. The suggested antenna’s small size and high flexibility allowing it to be used in Wireless Body Area Network applications.
{"title":"A 2.5 GHz Compact Wearable Microstrip Patch Antenna for off body Wireless Communication in WBANs","authors":"S. Sreelekshmi, S. Sankar","doi":"10.1109/I-SMAC52330.2021.9641027","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9641027","url":null,"abstract":"In this work, the design and analysis of wearable stub incorporated circular microstrip patch antenna resonating at 2.5 GHz frequency is proposed, which is flexible and compact. The substrate used for the proposed antenna is Arlon Diclad 1000, having a thickness of 1.6mm, with a dielectric constant of 10.2 and loss tangent 0.002. Arlon AD 1000 is a very flexible dielectric substrate that is suitable for wearable applications. The suggested flexible antenna’s overall dimensions are 35x30x1.6 mm3. Based on the finite element method, the antenna parameters, including return loss, VSWR, gain, directivity, and radiation efficiency, are studied and validated using Ansys High-Frequency Structure Simulator software. The proposed antenna provides 2.5511 dB gain, -14.2876 dB return loss, 66 MHz bandwidth based on |S11| ≤ 10 dB, the directivity of 3.2928 dB, and 84.3 percent radiation efficiency, according to the simulation findings. The suggested antenna’s small size and high flexibility allowing it to be used in Wireless Body Area Network applications.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114211637","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9641048
B. Ramana, P. Rao, M. Satyanarayana
In this research work, A Log Periodic Inset Feed Micro-strip Patch (LPIFMP) antenna is proposed for S band applications in the frequency range of 2.66GHz to 3.4 GHz and also some parameters of LPIFMP antenna for example, Gain, Return loss, Radiation Pattern and VSWR are analyzed through using the HFSS simulation Tool. This LPIFMP antenna also can be used in different wireless applications.
{"title":"Design of Log Periodic Inset Fed Microstrip Patch Antenna for S-Band Applications","authors":"B. Ramana, P. Rao, M. Satyanarayana","doi":"10.1109/I-SMAC52330.2021.9641048","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9641048","url":null,"abstract":"In this research work, A Log Periodic Inset Feed Micro-strip Patch (LPIFMP) antenna is proposed for S band applications in the frequency range of 2.66GHz to 3.4 GHz and also some parameters of LPIFMP antenna for example, Gain, Return loss, Radiation Pattern and VSWR are analyzed through using the HFSS simulation Tool. This LPIFMP antenna also can be used in different wireless applications.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125374752","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9640959
S. R., S. Divyapriya, A. Amudha, G. Emayavaramban, M. Siva Ramkumar, P. Nagaveni
The main objectives of the project is to monitor the power quality parameters and to correct them in order to experience the good power quality. This project continuously monitor the voltage lead voltage lag and voltage interruption and safe guard the electric appliances by improving the power quality. ARDUINO microcontroller is used in our project which will continuously senses the power line parameters and activates the desired compensation circuits in order to maintain good power quality. Also, the entire project is monitored through Internet of Things [IoT] platform. Henceforth, the user can monitor the power quality from any part of the world.
{"title":"IoT Based Design and Implementation of the Electric Power Quality Management System Using Arduino","authors":"S. R., S. Divyapriya, A. Amudha, G. Emayavaramban, M. Siva Ramkumar, P. Nagaveni","doi":"10.1109/I-SMAC52330.2021.9640959","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640959","url":null,"abstract":"The main objectives of the project is to monitor the power quality parameters and to correct them in order to experience the good power quality. This project continuously monitor the voltage lead voltage lag and voltage interruption and safe guard the electric appliances by improving the power quality. ARDUINO microcontroller is used in our project which will continuously senses the power line parameters and activates the desired compensation circuits in order to maintain good power quality. Also, the entire project is monitored through Internet of Things [IoT] platform. Henceforth, the user can monitor the power quality from any part of the world.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126181982","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9640639
Manish Kumar Sharma, Prince Kumar, A. Rasool, A. Dubey, Vishal Kumar Mahto
Fighting in a misinformation era in addition to the COVID-19 pandemic is a difficult task for many superpower nations. On social media, fake news and rumors move like any actual news , and most of the time many people are misguided with that information. Believing in rumors can have serious consequences for both the individual and society. This has made it worse in the event of a pandemic at such a level that it has caused chaos between people and nations. To address this issue, this paper uses COVID-19 to compile a dataset of actual and fraudulent news, posts , and articles from Twitter, Facebook, Reddit , and other social media handles. In this paper a binary classification task is performed (actual vs fake) and compared three machine learning baselines - Decision Tree, Bidirectional-Long Short Term Memory and Support Vector Machine on the annotated dataset. The binary classification of the dataset gave us a brief understanding of how distorted news differs from actual news.
{"title":"Classification of Actual and Fake News in Pandemic","authors":"Manish Kumar Sharma, Prince Kumar, A. Rasool, A. Dubey, Vishal Kumar Mahto","doi":"10.1109/I-SMAC52330.2021.9640639","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640639","url":null,"abstract":"Fighting in a misinformation era in addition to the COVID-19 pandemic is a difficult task for many superpower nations. On social media, fake news and rumors move like any actual news , and most of the time many people are misguided with that information. Believing in rumors can have serious consequences for both the individual and society. This has made it worse in the event of a pandemic at such a level that it has caused chaos between people and nations. To address this issue, this paper uses COVID-19 to compile a dataset of actual and fraudulent news, posts , and articles from Twitter, Facebook, Reddit , and other social media handles. In this paper a binary classification task is performed (actual vs fake) and compared three machine learning baselines - Decision Tree, Bidirectional-Long Short Term Memory and Support Vector Machine on the annotated dataset. The binary classification of the dataset gave us a brief understanding of how distorted news differs from actual news.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125804459","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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