Pub Date : 2023-04-05DOI: 10.1109/ICNWC57852.2023.10127409
Arbind Lochan Mishra, Harsh Srivastava, Hemamalini V
The domain is the primary focus of this project (Web Application Development). In India, it is difficult for women to report the issues they are having because it either takes a long time to document them and convey them to the appropriate authority or because of cultural pressure. In order to solve their issue by presenting complaints to the appropriate authority immediately, a web application is suggested. It has a complaint module that enables women to report emergencies so that authorities can be dispatched to those who need assistance. It is an interface for registering complaints and following them up. The main problem statement tried to be worked upon is the fact that when women want to register any grievance they are not able to do so because of various reasons out of which two stand out as the most common. The way to reach the authorities responsible to take action is way too long and time-consuming and this discourages them to go ahead with it as they’re unsure of even being heard or what the outcome of the situation might be even after spending a long time and effort for the same. The other factor is the fear of being judged by the society which is one of the leading factors as to why women do not go ahead with reporting their grievances. This has been overcome by our solution by having only end-to-end access to the data/complaints between the user and the admin and ensuring secrecy.
{"title":"Panchi: A women’s security app","authors":"Arbind Lochan Mishra, Harsh Srivastava, Hemamalini V","doi":"10.1109/ICNWC57852.2023.10127409","DOIUrl":"https://doi.org/10.1109/ICNWC57852.2023.10127409","url":null,"abstract":"The domain is the primary focus of this project (Web Application Development). In India, it is difficult for women to report the issues they are having because it either takes a long time to document them and convey them to the appropriate authority or because of cultural pressure. In order to solve their issue by presenting complaints to the appropriate authority immediately, a web application is suggested. It has a complaint module that enables women to report emergencies so that authorities can be dispatched to those who need assistance. It is an interface for registering complaints and following them up. The main problem statement tried to be worked upon is the fact that when women want to register any grievance they are not able to do so because of various reasons out of which two stand out as the most common. The way to reach the authorities responsible to take action is way too long and time-consuming and this discourages them to go ahead with it as they’re unsure of even being heard or what the outcome of the situation might be even after spending a long time and effort for the same. The other factor is the fear of being judged by the society which is one of the leading factors as to why women do not go ahead with reporting their grievances. This has been overcome by our solution by having only end-to-end access to the data/complaints between the user and the admin and ensuring secrecy.","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130932306","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 : 2023-04-05DOI: 10.1109/ICNWC57852.2023.10127408
Jeyakanth Krishnan, Venkatakrishnan Perumalsamy, C. Chinnasamy, Dhivya Udhayasuriyan
In this research work, an evolutionary development approach is introduced for channel assignment in CRNs. These approaches are divine by some kind of adoptive development approach. In this proposed methodology, we utilized PSO with DE technique. It effectively maximize the throughput of CN while gratifying interference constraints of both primary and secondary users in network. It also solves the joint spectrum and power allocation problem in CRNs. In addition, a repair process is involved to ignore conflicts with secondary users to enhance spectrum in CRNs. The resulting algorithm is known as Hybridization of Differential Evolution based Particle Swarm optimization with repair process (HoDEPSO-RP). The performance analysis of this proposed HoDEPSO-RP is estimated by simulation techniques. This proposed work provides better performance result when compared with other existing algorithms.
{"title":"Spectrum and Power Allocation Scheme Using HoDEPSO-RP Approach for Cognitive Radio Network","authors":"Jeyakanth Krishnan, Venkatakrishnan Perumalsamy, C. Chinnasamy, Dhivya Udhayasuriyan","doi":"10.1109/ICNWC57852.2023.10127408","DOIUrl":"https://doi.org/10.1109/ICNWC57852.2023.10127408","url":null,"abstract":"In this research work, an evolutionary development approach is introduced for channel assignment in CRNs. These approaches are divine by some kind of adoptive development approach. In this proposed methodology, we utilized PSO with DE technique. It effectively maximize the throughput of CN while gratifying interference constraints of both primary and secondary users in network. It also solves the joint spectrum and power allocation problem in CRNs. In addition, a repair process is involved to ignore conflicts with secondary users to enhance spectrum in CRNs. The resulting algorithm is known as Hybridization of Differential Evolution based Particle Swarm optimization with repair process (HoDEPSO-RP). The performance analysis of this proposed HoDEPSO-RP is estimated by simulation techniques. This proposed work provides better performance result when compared with other existing algorithms.","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122472666","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 : 2023-04-05DOI: 10.1109/ICNWC57852.2023.10127349
V. Natarajan, M. S. Kumar
Wireless sensor network (WSN) research is now extremely stimulated due to its potential applications in a range of disciplines, including area monitoring, healthcare, environmental observation, and industrial monitoring. The Quality of Service has become one of the main problems in WSN applications due to the increasing demand for WSN. Due to several limitations imposed by the applications using this network, guaranteed QoS in WSN is challenging to establish. Traditional QoS metrics concentrate on network-level metrics including packet reception ratio (PRR), jitter, end-to-end delay, and throughput. A high QoS environment is characterized by low packet delivery latency, high packet reception ratios, and maximum network throughput. The QoS can be assessed at the network or application level. In order to improve QoS in the network, this study focuses on creating and implementing a better path selection approach for WSN routing based on PRR predictions. Regression algorithms are used to forecast the PRR of a specific path, and the path with the best PRR value is selected to improve network quality of service. The strength of the received signal denoted as RSS, link quality indicator, noise floor over the specific multi-hop path, transmission and reception rate in the MAC layer, and routing path length are used to make the forecast. The results of the predictions and the estimated PRR are compared with the actual packet reception ratio collected from various WSN at an industrial environment.
{"title":"Improving QoS in Wireless Sensor Network routing using Machine Learning Techniques","authors":"V. Natarajan, M. S. Kumar","doi":"10.1109/ICNWC57852.2023.10127349","DOIUrl":"https://doi.org/10.1109/ICNWC57852.2023.10127349","url":null,"abstract":"Wireless sensor network (WSN) research is now extremely stimulated due to its potential applications in a range of disciplines, including area monitoring, healthcare, environmental observation, and industrial monitoring. The Quality of Service has become one of the main problems in WSN applications due to the increasing demand for WSN. Due to several limitations imposed by the applications using this network, guaranteed QoS in WSN is challenging to establish. Traditional QoS metrics concentrate on network-level metrics including packet reception ratio (PRR), jitter, end-to-end delay, and throughput. A high QoS environment is characterized by low packet delivery latency, high packet reception ratios, and maximum network throughput. The QoS can be assessed at the network or application level. In order to improve QoS in the network, this study focuses on creating and implementing a better path selection approach for WSN routing based on PRR predictions. Regression algorithms are used to forecast the PRR of a specific path, and the path with the best PRR value is selected to improve network quality of service. The strength of the received signal denoted as RSS, link quality indicator, noise floor over the specific multi-hop path, transmission and reception rate in the MAC layer, and routing path length are used to make the forecast. The results of the predictions and the estimated PRR are compared with the actual packet reception ratio collected from various WSN at an industrial environment.","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121131606","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 : 2023-04-05DOI: 10.1109/ICNWC57852.2023.10127400
K. Jeyavarshini, H. Jeevapriya, B. Kaaviya, Sivamani Kanimozhi, S. Ramesh
Numerous antenna properties are improved by microwave components with frequency-selective architectures, which are becoming more and more common in many techniques. This paper presents a single-resonant antenna with a Y-shaped structure in the patch. The designed antenna illustrates the parameters such as reflection coefficient (S11), gain (dB), and directivity (dBi) for the corresponding frequency. Since the antenna has been verified for impedance matching and has a low return loss, it is ideal for integration with other microwave equipment. A Microstrip antenna’s characteristics of lightweight and low profile have led to its widespread use in applications such as WLAN and 5G mobile communication. This study describes the design of a Y-shaped antenna in the frequency range of 4.2 to 6. 2GHz for 5G applications. A 3-Dimensional Electromagnetic simulation tool utilizing a finite difference time domain is used. The FR-4 epoxy substrate of height 40mm is used, which has a dielectric permittivity of 4.3. A proximity-coupled feed with 50$Omega$ impedance power this antenna.
{"title":"Design Of Compact Y-Shape Antenna For 5g Smartphones","authors":"K. Jeyavarshini, H. Jeevapriya, B. Kaaviya, Sivamani Kanimozhi, S. Ramesh","doi":"10.1109/ICNWC57852.2023.10127400","DOIUrl":"https://doi.org/10.1109/ICNWC57852.2023.10127400","url":null,"abstract":"Numerous antenna properties are improved by microwave components with frequency-selective architectures, which are becoming more and more common in many techniques. This paper presents a single-resonant antenna with a Y-shaped structure in the patch. The designed antenna illustrates the parameters such as reflection coefficient (S11), gain (dB), and directivity (dBi) for the corresponding frequency. Since the antenna has been verified for impedance matching and has a low return loss, it is ideal for integration with other microwave equipment. A Microstrip antenna’s characteristics of lightweight and low profile have led to its widespread use in applications such as WLAN and 5G mobile communication. This study describes the design of a Y-shaped antenna in the frequency range of 4.2 to 6. 2GHz for 5G applications. A 3-Dimensional Electromagnetic simulation tool utilizing a finite difference time domain is used. The FR-4 epoxy substrate of height 40mm is used, which has a dielectric permittivity of 4.3. A proximity-coupled feed with 50$Omega$ impedance power this antenna.","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133681607","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 : 2023-04-05DOI: 10.1109/ICNWC57852.2023.10127371
M. Hema, Kanaga Suba Raja, K. Valarmathi, D. Hema Ruba, Sv Abishyna, Kiruthiga Manivel
One of the famous examples in the study of route optimization in the field of computers is Travelling Saleman Problem (TSP). Researches throughout the years various algorithms have been developed attempting to solve the TSP yet there is always doubt in producing the best solution. TSP applies in transportation pathways, delivery services, flight routes, travellers and many more which means there is a need for a pre-planned route schedule to ensure an optimized travelling has been performed. The aim of this paper is to solve the optimal path problem in vehicle routing. The goal is to choose the best route that maximises the likelihood of rapidly reaching the target.. In an attempt to include an optimal path, an optimal path set I’d generated. Using the path set the optimal path can be easily found. TSP is formulated using a modified optimization algorithm for handling complicated and vast environmental constraints. TSP generates routes in complicated and vast environmental constraints. The TSP is an effective technique for providing short and safe routes under dynamic restrictions and its efficiency has been experimented.
{"title":"Life Saving Express-Discovery The Shortest Distance In Vehicle Routing","authors":"M. Hema, Kanaga Suba Raja, K. Valarmathi, D. Hema Ruba, Sv Abishyna, Kiruthiga Manivel","doi":"10.1109/ICNWC57852.2023.10127371","DOIUrl":"https://doi.org/10.1109/ICNWC57852.2023.10127371","url":null,"abstract":"One of the famous examples in the study of route optimization in the field of computers is Travelling Saleman Problem (TSP). Researches throughout the years various algorithms have been developed attempting to solve the TSP yet there is always doubt in producing the best solution. TSP applies in transportation pathways, delivery services, flight routes, travellers and many more which means there is a need for a pre-planned route schedule to ensure an optimized travelling has been performed. The aim of this paper is to solve the optimal path problem in vehicle routing. The goal is to choose the best route that maximises the likelihood of rapidly reaching the target.. In an attempt to include an optimal path, an optimal path set I’d generated. Using the path set the optimal path can be easily found. TSP is formulated using a modified optimization algorithm for handling complicated and vast environmental constraints. TSP generates routes in complicated and vast environmental constraints. The TSP is an effective technique for providing short and safe routes under dynamic restrictions and its efficiency has been experimented.","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117025015","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 : 2023-04-05DOI: 10.1109/ICNWC57852.2023.10127551
Nithya Jayakumar, A. K. Maheshwaran, P. S. Arvind, G. Vijayaragavan
Employee attrition, also referred to as the loss of personnel over time in a business, occurs for a variety of inescapable reasons. The attrition percentage in 2022 will be 20.3%, according to the latest statistics from India. Employee attrition is a significant problem that can cause severe losses to organizations. In recent years, machine learning has emerged as a powerful tool to address this challenge by predicting employees who may leave the organization. However, the accurate prediction of employee attrition faces various challenges, including dealing with imbalanced datasets, identifying the most critical predictors, and selecting the most appropriate machine learning algorithms. In this study, the proposed solution employs a combination of data preprocessing techniques and machine learning algorithms to predict employee attrition. Our solution includes a visual representation of employee attrition, a parser to extract information from resumes, a test to assess the suitability of potential candidates and AI candidate recommendation. Evaluate the proposed solution using the Employee Attrition dataset and achieve promising results. Our solution can serve as a useful tool for HR managers to predict and visualize employee attrition trends and hire the right candidates for upcoming vacancies.
{"title":"On-Demand Job-Based Recruitment For Organisations Using Artificial Intelligence","authors":"Nithya Jayakumar, A. K. Maheshwaran, P. S. Arvind, G. Vijayaragavan","doi":"10.1109/ICNWC57852.2023.10127551","DOIUrl":"https://doi.org/10.1109/ICNWC57852.2023.10127551","url":null,"abstract":"Employee attrition, also referred to as the loss of personnel over time in a business, occurs for a variety of inescapable reasons. The attrition percentage in 2022 will be 20.3%, according to the latest statistics from India. Employee attrition is a significant problem that can cause severe losses to organizations. In recent years, machine learning has emerged as a powerful tool to address this challenge by predicting employees who may leave the organization. However, the accurate prediction of employee attrition faces various challenges, including dealing with imbalanced datasets, identifying the most critical predictors, and selecting the most appropriate machine learning algorithms. In this study, the proposed solution employs a combination of data preprocessing techniques and machine learning algorithms to predict employee attrition. Our solution includes a visual representation of employee attrition, a parser to extract information from resumes, a test to assess the suitability of potential candidates and AI candidate recommendation. Evaluate the proposed solution using the Employee Attrition dataset and achieve promising results. Our solution can serve as a useful tool for HR managers to predict and visualize employee attrition trends and hire the right candidates for upcoming vacancies.","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133384991","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 : 2023-04-05DOI: 10.1109/ICNWC57852.2023.10127514
Mayank Singh, Vrushal Nedungadi, R. Radhika
Many positive outcomes may be attributed to the development of technology. Because of technological advancements, it is now possible to greatly simplify most human activities. The same holds for cybercriminals who, among other things, aim to get into user accounts to steal private data for their ends. Even though technological advancements are unquestionably beneficial, it is our responsibility as consumers to take all necessary precautions to safeguard our data. Various safeguards are at our disposal. The security of any given system, however, is always at risk. All of our efforts are focused on reducing the likelihood of a security breach. A textual and graphical password paradigm[1] is used for authentication here. We have settled on this framework because humans are naturally visual beings, and we think that by using a cued-recall and recognition-based strategy, we may improve a system’s defences. A password having an entropy[5] of 60 and above is said to be a strong password. This scheme of passwords once put through rigorous testing can prove to be a very good alternative to the multi-factor authentication that would require the user to wait for an OTP or some other hassle. Our approach looks to mitigate all the hassles encountered throughout the process and looks to propose a hassle-free gateway for the authentication of users. This approach helps in creating passwords having a password entropy close to 89, which is considered to be a strong password.
{"title":"A Hybrid Textual-Graphical Password Authentication System With Enhanced Security","authors":"Mayank Singh, Vrushal Nedungadi, R. Radhika","doi":"10.1109/ICNWC57852.2023.10127514","DOIUrl":"https://doi.org/10.1109/ICNWC57852.2023.10127514","url":null,"abstract":"Many positive outcomes may be attributed to the development of technology. Because of technological advancements, it is now possible to greatly simplify most human activities. The same holds for cybercriminals who, among other things, aim to get into user accounts to steal private data for their ends. Even though technological advancements are unquestionably beneficial, it is our responsibility as consumers to take all necessary precautions to safeguard our data. Various safeguards are at our disposal. The security of any given system, however, is always at risk. All of our efforts are focused on reducing the likelihood of a security breach. A textual and graphical password paradigm[1] is used for authentication here. We have settled on this framework because humans are naturally visual beings, and we think that by using a cued-recall and recognition-based strategy, we may improve a system’s defences. A password having an entropy[5] of 60 and above is said to be a strong password. This scheme of passwords once put through rigorous testing can prove to be a very good alternative to the multi-factor authentication that would require the user to wait for an OTP or some other hassle. Our approach looks to mitigate all the hassles encountered throughout the process and looks to propose a hassle-free gateway for the authentication of users. This approach helps in creating passwords having a password entropy close to 89, which is considered to be a strong password.","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123883143","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 : 2023-04-05DOI: 10.1109/ICNWC57852.2023.10127460
M. Meenakshi, P. Shyam Babu, V. Hemamalini
Social media allows people to exchange their views on different topics. However, some users post offensive comments on social media, which is known as cyberbullying, and some scam users by posting fake links in the comment section which adversely affects the user experience on those platforms. Thus regulation of contents in social media has become a growing need. The metrics for the regulations can be achieved by detecting these comments using deep learning techniques and machine learning algorithms Gaussian Naive Bayes, Logistic regression, Decision tree classifier, Adaboost classifier, Random forest classifier, MBERT and BERT, Gaussian Naive Bayes, Logistic Regression for cyberbullying and spamming respectively.This paper aims at detecting cyberbullying and spamming with the help of the techniques mentioned above for spamming and cyberbullying detection in English and Tanglish. Furthermore, it compares a number of supervised techniques, including standard and ensemble methods. Ensemble supervised methods have the capability to outperform conventional supervised methods, according to the evaluation of the results. The fine tuned classification BERT model (Bidirectional Encoder Representations from Transformers) and MBERT(Multilingual BERT) are based on Transformers, are used for cyberbullying detection and machine learning algorithms which include Gaussian Naive Bayes and Logistic regression have been used for spam detection. We do a comparative study between deep learning and machine learning algorithms. Compared to machine learning algorithms, deep learning algorithm BERT performed better at detecting spamming comments.
{"title":"Deep Learning Techniques For Spamming And Cyberbullying Detection","authors":"M. Meenakshi, P. Shyam Babu, V. Hemamalini","doi":"10.1109/ICNWC57852.2023.10127460","DOIUrl":"https://doi.org/10.1109/ICNWC57852.2023.10127460","url":null,"abstract":"Social media allows people to exchange their views on different topics. However, some users post offensive comments on social media, which is known as cyberbullying, and some scam users by posting fake links in the comment section which adversely affects the user experience on those platforms. Thus regulation of contents in social media has become a growing need. The metrics for the regulations can be achieved by detecting these comments using deep learning techniques and machine learning algorithms Gaussian Naive Bayes, Logistic regression, Decision tree classifier, Adaboost classifier, Random forest classifier, MBERT and BERT, Gaussian Naive Bayes, Logistic Regression for cyberbullying and spamming respectively.This paper aims at detecting cyberbullying and spamming with the help of the techniques mentioned above for spamming and cyberbullying detection in English and Tanglish. Furthermore, it compares a number of supervised techniques, including standard and ensemble methods. Ensemble supervised methods have the capability to outperform conventional supervised methods, according to the evaluation of the results. The fine tuned classification BERT model (Bidirectional Encoder Representations from Transformers) and MBERT(Multilingual BERT) are based on Transformers, are used for cyberbullying detection and machine learning algorithms which include Gaussian Naive Bayes and Logistic regression have been used for spam detection. We do a comparative study between deep learning and machine learning algorithms. Compared to machine learning algorithms, deep learning algorithm BERT performed better at detecting spamming comments.","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128573698","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 : 2023-04-05DOI: 10.1109/ICNWC57852.2023.10127425
Shanthi D Sorna, B. Bhuvaneswaran, Adhithya R Manoj, S. Pooja
The Art and Heritage has been an integral part of our Indian Culture. These art forms and heritage are left unnoticed just because they are very much away. Therefore these sites can be brought back to life in any environment. The heritage properties of art and craft of India can be brought to life from anywhere by using an AR application on the phone. There are times when people visit the monuments and they are in need of a third party to show them the main attractions of the monument. Instead of relying on a third party, this can be done using this app where an AR marker appears on important tourist spots. The software that are used are Unity, Blender, Python and Visual Studio for C#. The software development kit used are Vuforia AR SDK and Mapbox SDK.The software that are used are Unity, Blender, Python and Visual Studio for C#. The software development kit used are Vuforia AR SDK and Mapbox SDK
艺术和遗产一直是我们印度文化不可分割的一部分。这些艺术形式和遗产之所以被忽视，只是因为它们离我们很远。因此，这些场所可以在任何环境中恢复生机。通过使用手机上的AR应用程序，印度的艺术和工艺遗产可以在任何地方被赋予生命。有时，当人们参观纪念碑时，他们需要第三方向他们展示纪念碑的主要景点。而不是依赖于第三方，这可以使用这个应用程序，在重要的旅游景点出现一个AR标记。使用的软件是Unity、Blender、Python和Visual Studio c#。使用的软件开发工具包为Vuforia AR SDK和Mapbox SDK。使用的软件是Unity、Blender、Python和Visual Studio c#。使用的软件开发工具包为Vuforia AR SDK和Mapbox SDK
{"title":"MonuAR:M.A.R Application for Visualising 3D Monuments","authors":"Shanthi D Sorna, B. Bhuvaneswaran, Adhithya R Manoj, S. Pooja","doi":"10.1109/ICNWC57852.2023.10127425","DOIUrl":"https://doi.org/10.1109/ICNWC57852.2023.10127425","url":null,"abstract":"The Art and Heritage has been an integral part of our Indian Culture. These art forms and heritage are left unnoticed just because they are very much away. Therefore these sites can be brought back to life in any environment. The heritage properties of art and craft of India can be brought to life from anywhere by using an AR application on the phone. There are times when people visit the monuments and they are in need of a third party to show them the main attractions of the monument. Instead of relying on a third party, this can be done using this app where an AR marker appears on important tourist spots. The software that are used are Unity, Blender, Python and Visual Studio for C#. The software development kit used are Vuforia AR SDK and Mapbox SDK.The software that are used are Unity, Blender, Python and Visual Studio for C#. The software development kit used are Vuforia AR SDK and Mapbox SDK","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116358663","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 : 2023-04-05DOI: 10.1109/ICNWC57852.2023.10127489
J. N. Niranjan Prasad, R. N. Nirmal Kumar, A. Nirmal Kishore, Madhumitha Jayaram
This paper presents the design and analysis of wideband 5G antenna intended for autonomous vehicle applications. The antenna design with Tesla geometry has been proposed, which is known for its gain and wide-angle radiation pattern. The design process includes the optimization of the antenna parameters, such as the dimensions of the radiator, the ground plane, and the feed location. The antenna has been simulated using CST software, and the results show that it has a gain of 4.5 dB, wider bandwidth of 2. 442GHz, and an operational frequency of 29.2 GHz.
{"title":"Tesla-geometry based wideband 5G antenna for V2V applications","authors":"J. N. Niranjan Prasad, R. N. Nirmal Kumar, A. Nirmal Kishore, Madhumitha Jayaram","doi":"10.1109/ICNWC57852.2023.10127489","DOIUrl":"https://doi.org/10.1109/ICNWC57852.2023.10127489","url":null,"abstract":"This paper presents the design and analysis of wideband 5G antenna intended for autonomous vehicle applications. The antenna design with Tesla geometry has been proposed, which is known for its gain and wide-angle radiation pattern. The design process includes the optimization of the antenna parameters, such as the dimensions of the radiator, the ground plane, and the feed location. The antenna has been simulated using CST software, and the results show that it has a gain of 4.5 dB, wider bandwidth of 2. 442GHz, and an operational frequency of 29.2 GHz.","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115365036","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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