Pub Date : 2023-01-19DOI: 10.1109/ICCT56969.2023.10076241
Ruhul Amin, Ashraful Islam, Deluwar Hussen Tanvir, Redwanul Islam Arif
Traditional methods of document storage have cre-ated validity and safety issues for academic, professional, and other certifications. To alleviate these issues, many researchers use the blockchain to justify those documents' authenticity. Getting these certificates from different providers, putting them in order, and then applying for a job can take time and effort. This study developed heterogeneous interoperability by which all applicants are linked to this system and can list their certificates deployed on various blockchain networks. When a recruiter posts a job, the applicant can make a CV by choosing the needed certifications. After submitting a CV, the selected certificates will be transferred from the provider blockchain to our system for a limited time through interoperability and provide access to the recruiter. A recruiter can check the files by clicking on a candidate's CV to evaluate the authenticity of the certificates. We developed our system using Hyperledger Fabric and Ethereum to perform interoperability, but it is also generalizable to other programmable blockchain networks like IOTA, Quorum, Hyperledger Beau, etc.
{"title":"HIREX: A Heterogeneous Interoperable Blockchain Solution For Hiring System","authors":"Ruhul Amin, Ashraful Islam, Deluwar Hussen Tanvir, Redwanul Islam Arif","doi":"10.1109/ICCT56969.2023.10076241","DOIUrl":"https://doi.org/10.1109/ICCT56969.2023.10076241","url":null,"abstract":"Traditional methods of document storage have cre-ated validity and safety issues for academic, professional, and other certifications. To alleviate these issues, many researchers use the blockchain to justify those documents' authenticity. Getting these certificates from different providers, putting them in order, and then applying for a job can take time and effort. This study developed heterogeneous interoperability by which all applicants are linked to this system and can list their certificates deployed on various blockchain networks. When a recruiter posts a job, the applicant can make a CV by choosing the needed certifications. After submitting a CV, the selected certificates will be transferred from the provider blockchain to our system for a limited time through interoperability and provide access to the recruiter. A recruiter can check the files by clicking on a candidate's CV to evaluate the authenticity of the certificates. We developed our system using Hyperledger Fabric and Ethereum to perform interoperability, but it is also generalizable to other programmable blockchain networks like IOTA, Quorum, Hyperledger Beau, etc.","PeriodicalId":128100,"journal":{"name":"2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131110811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-19DOI: 10.1109/ICCT56969.2023.10075959
L. Susanti, D. Alamsyah, Nina Kurnia Hikmawati
During a pandemic in the world, the use of learning methods through online learning continues to increase. Individual performance of students is a concern if the learning method is implemented with e-learning. The focus in the reported study is to examine the connect between individual student performance on the concept of online learning through support from continuance intention and student behavior (satisfaction). The study was administered by studying students' experience of e-learning around 491 students. Data was collected through a quantitative questionnaire with the tool of analysis used SmartPLS. The study was conducted by testing the model through two stages, namely PLS Algorithm and Bootstrapping process. The outcomes of the research show a positive correlation between e-learning satisfaction on continuance intention and individual performance directly. On the other hand, it was stated that continuance intention was able to mediate between e-learning satisfaction and increasing student individual performance on the online learning concept. The study knowledge of the model related to individual student performance on the e-learning method. Individual performance research models can be used as recommendations for improving the learning performance of students at universities.
{"title":"Individual Performance Model for E-Learning in University","authors":"L. Susanti, D. Alamsyah, Nina Kurnia Hikmawati","doi":"10.1109/ICCT56969.2023.10075959","DOIUrl":"https://doi.org/10.1109/ICCT56969.2023.10075959","url":null,"abstract":"During a pandemic in the world, the use of learning methods through online learning continues to increase. Individual performance of students is a concern if the learning method is implemented with e-learning. The focus in the reported study is to examine the connect between individual student performance on the concept of online learning through support from continuance intention and student behavior (satisfaction). The study was administered by studying students' experience of e-learning around 491 students. Data was collected through a quantitative questionnaire with the tool of analysis used SmartPLS. The study was conducted by testing the model through two stages, namely PLS Algorithm and Bootstrapping process. The outcomes of the research show a positive correlation between e-learning satisfaction on continuance intention and individual performance directly. On the other hand, it was stated that continuance intention was able to mediate between e-learning satisfaction and increasing student individual performance on the online learning concept. The study knowledge of the model related to individual student performance on the e-learning method. Individual performance research models can be used as recommendations for improving the learning performance of students at universities.","PeriodicalId":128100,"journal":{"name":"2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133784920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-19DOI: 10.1109/icct56969.2023.10076098
Prashant D. Chauhan, Apurva M. Shah
The continuous and exponentially increasing use of email as the main means of communication within two parties is also increasing risk to the involved parties due to the easily possible attacks on the email system. The core of the whole email system depends on SMTP protocol which came to actual existence only after 1980s. At the time of development of SMTP, present day highly computational security attacks couldn't have been considered which results in the security loophole in the present email system. In this paper we study the working and effectiveness of various protocols available today to countermeasure the security issues in present day email system.
{"title":"Effectiveness of Anti-Spoofing Protocols for Email Authentication","authors":"Prashant D. Chauhan, Apurva M. Shah","doi":"10.1109/icct56969.2023.10076098","DOIUrl":"https://doi.org/10.1109/icct56969.2023.10076098","url":null,"abstract":"The continuous and exponentially increasing use of email as the main means of communication within two parties is also increasing risk to the involved parties due to the easily possible attacks on the email system. The core of the whole email system depends on SMTP protocol which came to actual existence only after 1980s. At the time of development of SMTP, present day highly computational security attacks couldn't have been considered which results in the security loophole in the present email system. In this paper we study the working and effectiveness of various protocols available today to countermeasure the security issues in present day email system.","PeriodicalId":128100,"journal":{"name":"2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114688099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-19DOI: 10.1109/ICCT56969.2023.10076183
Cristina Páez-Quinde, Angeles C. Orellana-Páez, Donald Reyes-Bedoya, William Llerena-Llerena
The literature on high-performance athletes has developed in a not-so-considerable way in the last two years, in the same way, few productions of a systematic review of the literature are evidenced, as well as no study has been examined under the use of the technique of citation mapping called: bibliometrics. Therefore, it is the first time that this study is performed by means of scientific mapping and bibliometric analysis having a total of 130 documents published in different databases such as Scopus, PubMed, and Web of Science; the cut of years that were considered for this research was 2019–2022 since the period where the SARS-CoV-2 virus spread worldwide, causing several collateral effects in athletes with high performance around the world. For the analysis of the obtained data and mapping preparation, the VoS Viewer software, the lens.org bibliometric platform is implemented. The results of the scientific mapping, bibliometric clustering and co-occurrence networks have allowed the identification of possible fields of research that can be developed in the future. The results show that the literature on the high performance of athletes during the Covid-19 pandemic has advanced over these 4 years, as well as the most influential parts of the literature in terms of authors, scientific production, most cited topics, and keywords are related and from which lines of research can be innovated. Finally, there is no review of the literature regarding the collateral effects produced by Covid-19, which is why a line of research focused on biomechanical studies and collateral effects should be focused on.
在过去的两年里，关于高水平运动员的文献以一种不那么引人注目的方式发展，同样，很少有文献系统综述的作品被证明，也没有研究在引用映射技术的使用下被检查:文献计量学。因此，本研究首次采用科学制图和文献计量学分析的方法，在Scopus、PubMed、Web of Science等不同数据库中共发表了130篇文献;这项研究考虑的年份是2019-2022年，因为SARS-CoV-2病毒在全球传播，对世界各地的高水平运动员造成了一些附带影响。为了对获得的数据进行分析和制图编制，实现了VoS Viewer软件，即lens.org文献计量平台。科学制图、文献计量聚类和共现网络的结果使人们能够确定未来可能发展的研究领域。结果表明，关于新冠肺炎大流行期间运动员高水平的文献在这4年中有所进步，并且在作者、科学产出、被引用最多的主题和关键词方面，文献中最具影响力的部分是相关的，并且可以创新研究方向。最后，没有对关于Covid-19产生的附带效应的文献进行回顾，这就是为什么应该关注生物力学研究和附带效应的一系列研究。
{"title":"Bibliometric Analysis of High-Performance Athletes During Covid-19 Pandemic: From Citation Mapping to Research Agenda","authors":"Cristina Páez-Quinde, Angeles C. Orellana-Páez, Donald Reyes-Bedoya, William Llerena-Llerena","doi":"10.1109/ICCT56969.2023.10076183","DOIUrl":"https://doi.org/10.1109/ICCT56969.2023.10076183","url":null,"abstract":"The literature on high-performance athletes has developed in a not-so-considerable way in the last two years, in the same way, few productions of a systematic review of the literature are evidenced, as well as no study has been examined under the use of the technique of citation mapping called: bibliometrics. Therefore, it is the first time that this study is performed by means of scientific mapping and bibliometric analysis having a total of 130 documents published in different databases such as Scopus, PubMed, and Web of Science; the cut of years that were considered for this research was 2019–2022 since the period where the SARS-CoV-2 virus spread worldwide, causing several collateral effects in athletes with high performance around the world. For the analysis of the obtained data and mapping preparation, the VoS Viewer software, the lens.org bibliometric platform is implemented. The results of the scientific mapping, bibliometric clustering and co-occurrence networks have allowed the identification of possible fields of research that can be developed in the future. The results show that the literature on the high performance of athletes during the Covid-19 pandemic has advanced over these 4 years, as well as the most influential parts of the literature in terms of authors, scientific production, most cited topics, and keywords are related and from which lines of research can be innovated. Finally, there is no review of the literature regarding the collateral effects produced by Covid-19, which is why a line of research focused on biomechanical studies and collateral effects should be focused on.","PeriodicalId":128100,"journal":{"name":"2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129689407","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}
Implementing intelligence into machines and devices in the field of science is efficient, and they complete tasks without any involvement of human minds. IoT is a combination of things, intelligence, and networks. It is simply a connected system of material things and humans. In this paper, we propose and demonstrate IoT -based smart environment monitoring systems, which undertake research in the vision-based and IoT fields. This work helps in the monitoring and surveillance of the public in uncomfortable places with gases and warns them about the use of facemasks. The real test case study for this application was taken in a hideous environment created due to presence of harmful gases in an indoor location at NIIT University.
{"title":"IoT & Vision Based Environment Monitoring System","authors":"Yoga Bhavagna Jonnala, Laasya Sree Talluru, Saketh Kapuganti, Jetendra Joshi","doi":"10.1109/ICCT56969.2023.10076137","DOIUrl":"https://doi.org/10.1109/ICCT56969.2023.10076137","url":null,"abstract":"Implementing intelligence into machines and devices in the field of science is efficient, and they complete tasks without any involvement of human minds. IoT is a combination of things, intelligence, and networks. It is simply a connected system of material things and humans. In this paper, we propose and demonstrate IoT -based smart environment monitoring systems, which undertake research in the vision-based and IoT fields. This work helps in the monitoring and surveillance of the public in uncomfortable places with gases and warns them about the use of facemasks. The real test case study for this application was taken in a hideous environment created due to presence of harmful gases in an indoor location at NIIT University.","PeriodicalId":128100,"journal":{"name":"2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"987 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127595073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-19DOI: 10.1109/ICCT56969.2023.10076093
Nishant Jakhar, Rainu Nandal, Kamaldeep Joshi, A. Noonia
The Internet of Things has turned out to be a day to day talk as of now. It spectated enormous extension in every sector. It serves as the foundation from the connection of cars running over the roads, the minute and heavy medical devices functioning to smart grids of energy management. IoT is the first thing that strikes instant about energy management. It can mimic a remarkable character in developing smart grids hence out- turning energy saving. The present article consists of two main segments. The first one projecting the reviews about basis and execution of things of Internet, smart grid, and smart houses along with the technologies used. The second one assesses the soundness of IoT, its Ontologies and Security Ontologies. The IoT section marks out the description and utilities about Internet of Things &Smart Home. Later describes about semantics/ontologies associated with Internet of thing's interface and its safety. Concluding each section, a comparison of technologies is put forward on specific framework that assisted us in adopting the finest possible technology belonging to the paper.
{"title":"A Study on Smart Homes And Grids Under IoT Components","authors":"Nishant Jakhar, Rainu Nandal, Kamaldeep Joshi, A. Noonia","doi":"10.1109/ICCT56969.2023.10076093","DOIUrl":"https://doi.org/10.1109/ICCT56969.2023.10076093","url":null,"abstract":"The Internet of Things has turned out to be a day to day talk as of now. It spectated enormous extension in every sector. It serves as the foundation from the connection of cars running over the roads, the minute and heavy medical devices functioning to smart grids of energy management. IoT is the first thing that strikes instant about energy management. It can mimic a remarkable character in developing smart grids hence out- turning energy saving. The present article consists of two main segments. The first one projecting the reviews about basis and execution of things of Internet, smart grid, and smart houses along with the technologies used. The second one assesses the soundness of IoT, its Ontologies and Security Ontologies. The IoT section marks out the description and utilities about Internet of Things &Smart Home. Later describes about semantics/ontologies associated with Internet of thing's interface and its safety. Concluding each section, a comparison of technologies is put forward on specific framework that assisted us in adopting the finest possible technology belonging to the paper.","PeriodicalId":128100,"journal":{"name":"2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127439265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-19DOI: 10.1109/ICCT56969.2023.10076200
K. Malvankar, Enda Fallon, Paul Connolly, Kieran Flanagan
Social media data is becoming more and more valuable in analyzing patterns in human behavior as a result of the ongoing expansion of online engagement. Twitter is a great place to find current user-generated data. Anyone can utilize this platform to contribute their own ideas, opinions, or feedback on a variety of issues through Tweets. These topics might come from a variety of industries, including business, politics, and entertainment. On average, 6,000 tweets are uploaded on Twitter every second, for a daily total of over 500 million messages. Understanding the causes and impacts of social, environmental, or financial events can be made much easier by the amount of publicly available information. The data is incredibly beneficial for retailers for market research and sales forecasting when paired with cutting-edge data analysis and Artificial Intelligence (AI) solutions. The proposed study examine the sentiments and statistics that have been submitted by users on the Twitter platform in order to determine whether “Social Media Influencing” has any effect on the video game business.
{"title":"A Case Study to Analyze the Impact of Social Media on Video Game Sales","authors":"K. Malvankar, Enda Fallon, Paul Connolly, Kieran Flanagan","doi":"10.1109/ICCT56969.2023.10076200","DOIUrl":"https://doi.org/10.1109/ICCT56969.2023.10076200","url":null,"abstract":"Social media data is becoming more and more valuable in analyzing patterns in human behavior as a result of the ongoing expansion of online engagement. Twitter is a great place to find current user-generated data. Anyone can utilize this platform to contribute their own ideas, opinions, or feedback on a variety of issues through Tweets. These topics might come from a variety of industries, including business, politics, and entertainment. On average, 6,000 tweets are uploaded on Twitter every second, for a daily total of over 500 million messages. Understanding the causes and impacts of social, environmental, or financial events can be made much easier by the amount of publicly available information. The data is incredibly beneficial for retailers for market research and sales forecasting when paired with cutting-edge data analysis and Artificial Intelligence (AI) solutions. The proposed study examine the sentiments and statistics that have been submitted by users on the Twitter platform in order to determine whether “Social Media Influencing” has any effect on the video game business.","PeriodicalId":128100,"journal":{"name":"2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132960062","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}
Dental caries is a widespread health problem that can probably result to dental pulp as well as root apical infection. For patients to experience less pain, dental caries must be treated promptly and effectively. Conventional carious lesions diagnose techniques, such as naked-eye identification and panoramic radiograph evaluations, depends on qualified doctors, which can lead to misidentification and take a long time. This paper works on semantic segmentation using Improved Deeplab V3,a new deep learning design, to describe different carious lesions degrees from radiographic images. Semantic segmentation is analysis and classification of each pixel into multiple classes (labels). We begin by gathering a high-quality panoramic radiograph dataset of 2075 well-delineated caries, such as narrow, modest, and depth caries. The Deeplab V3network is then built with an additional channel and spatial attenuation module for segmenting these three types of caries from oral panoramic images. Hereafter, we make a comparison of improved DeeplabV3's semantic segmentation results with that of other previous methods. Experimental studies demonstrate that our method can segment different stages of caries with a mean Dice coefficient of 94.7% and an accuracy of 94.01 %.
{"title":"Semantic Segmentation of Dental Caries using Improved Deeplab V3Network","authors":"Manusha Kaki, Suryanarayana Gunnam, Sravani Dhanavath, Prathap Kumar Gorantla, Rakesh Saripineni","doi":"10.1109/ICCT56969.2023.10075992","DOIUrl":"https://doi.org/10.1109/ICCT56969.2023.10075992","url":null,"abstract":"Dental caries is a widespread health problem that can probably result to dental pulp as well as root apical infection. For patients to experience less pain, dental caries must be treated promptly and effectively. Conventional carious lesions diagnose techniques, such as naked-eye identification and panoramic radiograph evaluations, depends on qualified doctors, which can lead to misidentification and take a long time. This paper works on semantic segmentation using Improved Deeplab V3,a new deep learning design, to describe different carious lesions degrees from radiographic images. Semantic segmentation is analysis and classification of each pixel into multiple classes (labels). We begin by gathering a high-quality panoramic radiograph dataset of 2075 well-delineated caries, such as narrow, modest, and depth caries. The Deeplab V3network is then built with an additional channel and spatial attenuation module for segmenting these three types of caries from oral panoramic images. Hereafter, we make a comparison of improved DeeplabV3's semantic segmentation results with that of other previous methods. Experimental studies demonstrate that our method can segment different stages of caries with a mean Dice coefficient of 94.7% and an accuracy of 94.01 %.","PeriodicalId":128100,"journal":{"name":"2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132320270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-19DOI: 10.1109/ICCT56969.2023.10075775
Rahul Saxena, Mahipal Jadeja
Current pandemic situation has a significant impact affecting human life not only socially and economically, but emotionally and psychologically as well. This impact can be easily observed on social media platforms. Along with the knowledge exchange related to Covid-19 pandemic on social media, there is an emotional trauma wave that can be felt by carefully analyzing the activities of this social media. Keeping this view in thought, we analyze around 12000 tweets of Indian people to find out whether there is a trend shift of thinking pattern and mindset of Indian people as the pandemic progresses. The study is bifurcated into stages to clearly see the paradigm shift. We use tweets since twitter is a rich medium that can be leveraged to its optimum to have a good amount of understanding of the sentiments of the people. Analyzing the twitter dataset, we derive results and find out whether the amount of negative tweets v/s positive (or motivational) tweets have increased or not as the pandemic progresses. The study is supported by graphical visualizations of the polarity of the tweets month wise. Further, Wordmap approach is used to perform qualitative mining analysis in addition to the sentiment score based calculation. This work helps us to understand how the public opinions are changing with the changes in the spread dynamics of the virus. This kind of mood mining helps in identifying the Covid-19 situation from the psychological perspective that whether there is a sense of fear among people or they are quite optimistic of the situation. It can help in a great extend to the strategic and decision making bodies to plan out for future decisions. Further, such kind of studies can be used as reference to provide insights about mental health of people for any future incident or event of such nature.
{"title":"Analysing Shifts in Perceptions of Indians during COVID-19 Pandemic by Mining Tweets","authors":"Rahul Saxena, Mahipal Jadeja","doi":"10.1109/ICCT56969.2023.10075775","DOIUrl":"https://doi.org/10.1109/ICCT56969.2023.10075775","url":null,"abstract":"Current pandemic situation has a significant impact affecting human life not only socially and economically, but emotionally and psychologically as well. This impact can be easily observed on social media platforms. Along with the knowledge exchange related to Covid-19 pandemic on social media, there is an emotional trauma wave that can be felt by carefully analyzing the activities of this social media. Keeping this view in thought, we analyze around 12000 tweets of Indian people to find out whether there is a trend shift of thinking pattern and mindset of Indian people as the pandemic progresses. The study is bifurcated into stages to clearly see the paradigm shift. We use tweets since twitter is a rich medium that can be leveraged to its optimum to have a good amount of understanding of the sentiments of the people. Analyzing the twitter dataset, we derive results and find out whether the amount of negative tweets v/s positive (or motivational) tweets have increased or not as the pandemic progresses. The study is supported by graphical visualizations of the polarity of the tweets month wise. Further, Wordmap approach is used to perform qualitative mining analysis in addition to the sentiment score based calculation. This work helps us to understand how the public opinions are changing with the changes in the spread dynamics of the virus. This kind of mood mining helps in identifying the Covid-19 situation from the psychological perspective that whether there is a sense of fear among people or they are quite optimistic of the situation. It can help in a great extend to the strategic and decision making bodies to plan out for future decisions. Further, such kind of studies can be used as reference to provide insights about mental health of people for any future incident or event of such nature.","PeriodicalId":128100,"journal":{"name":"2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128796920","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}
In the last few years there is a huge advancement in image processing technology. It can be implemented in wide variety of applications, one of the applications can be applied in automatic seat identification in public transportation systems by detecting and processing digital pictures. Face detection and recognition is a branch of image processing that can be used to detect human face from specific region. In this paper, we are focusing on techniques based on real time human face identification and a webcam can be utilized to capture the digital image to count the number of passengers entering or leaving the public transport via gate and count the passenger gender for calculation of available seat on bus based on gender. For this purpose, the webcam can be deployed at the entrance of public vehicles and connected with Raspberry Pi processor module. This onboard webcam will take pictures of passengers entering or leaving the public vehicle as soon as the vehicle departs. The amount of noise present in the picture can be minimized through the software. 4G communications may be used to transmit data to server and after that the server will utilize face detection technology to process the digital images taken from the vehicles. This IoT-enabled framework then obtains the data of the number of persons entering or leaving the public transport with gender and subsequently processing of images resulting in calculation of the seat vacancy available in vehicle. This framework is efficient in terms of real-time data processing and transmission of data to remote locations regarding the number of passengers traveling at a particular time. In the last part of the paper, security concerns regarding the system will be discussed. The future scope of our framework will also be mentioned in the paper.
{"title":"Automatic Seat Identification System in Smart Transport using IoT and Image Processing","authors":"Sandeep Bhatia, Devraj Gautam, Surender Kumar, Soniya Verma","doi":"10.1109/ICCT56969.2023.10075664","DOIUrl":"https://doi.org/10.1109/ICCT56969.2023.10075664","url":null,"abstract":"In the last few years there is a huge advancement in image processing technology. It can be implemented in wide variety of applications, one of the applications can be applied in automatic seat identification in public transportation systems by detecting and processing digital pictures. Face detection and recognition is a branch of image processing that can be used to detect human face from specific region. In this paper, we are focusing on techniques based on real time human face identification and a webcam can be utilized to capture the digital image to count the number of passengers entering or leaving the public transport via gate and count the passenger gender for calculation of available seat on bus based on gender. For this purpose, the webcam can be deployed at the entrance of public vehicles and connected with Raspberry Pi processor module. This onboard webcam will take pictures of passengers entering or leaving the public vehicle as soon as the vehicle departs. The amount of noise present in the picture can be minimized through the software. 4G communications may be used to transmit data to server and after that the server will utilize face detection technology to process the digital images taken from the vehicles. This IoT-enabled framework then obtains the data of the number of persons entering or leaving the public transport with gender and subsequently processing of images resulting in calculation of the seat vacancy available in vehicle. This framework is efficient in terms of real-time data processing and transmission of data to remote locations regarding the number of passengers traveling at a particular time. In the last part of the paper, security concerns regarding the system will be discussed. The future scope of our framework will also be mentioned in the paper.","PeriodicalId":128100,"journal":{"name":"2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128851087","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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