Pub Date : 2021-05-10DOI: 10.1109/AIIoT52608.2021.9454211
Beatriz Dias, A. Glória, P. Sebastião
This paper introduces a study done to evaluate the use of machine learning regression techniques to predict the link quality of communications done by IoT nodes. The proposed methodology is able to predict the link quality of the most typical cloud communication protocols, such as cellular, Wi-Fi, SigFox and LoRaWAN, based on the node location. To discover the best model to achieve this, a set of machine learning techniques were implemented, including Linear Regression, Decision Tree, Random Forest and Neural Networks, being the results compared. Results showed that Decisions Trees achieve the best efficiency, with a margin of error of 7.172 dBm, after cross-validation. This paper includes a detailed description of the methodology, its implementation and the experimental results.
{"title":"Prediction of Link Quality for IoT Cloud Communications supported by Machine Learning","authors":"Beatriz Dias, A. Glória, P. Sebastião","doi":"10.1109/AIIoT52608.2021.9454211","DOIUrl":"https://doi.org/10.1109/AIIoT52608.2021.9454211","url":null,"abstract":"This paper introduces a study done to evaluate the use of machine learning regression techniques to predict the link quality of communications done by IoT nodes. The proposed methodology is able to predict the link quality of the most typical cloud communication protocols, such as cellular, Wi-Fi, SigFox and LoRaWAN, based on the node location. To discover the best model to achieve this, a set of machine learning techniques were implemented, including Linear Regression, Decision Tree, Random Forest and Neural Networks, being the results compared. Results showed that Decisions Trees achieve the best efficiency, with a margin of error of 7.172 dBm, after cross-validation. This paper includes a detailed description of the methodology, its implementation and the experimental results.","PeriodicalId":443405,"journal":{"name":"2021 IEEE World AI IoT Congress (AIIoT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134237037","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 : 2021-05-10DOI: 10.1109/AIIoT52608.2021.9454243
Faria Soroni, M. Mahmud, Sajal Chowdhury, Mohammad Monirujjaman Khan
This paper presents the implementation of an online fashion rental service. It can be categorized as a web-based platform where people can rent things without any hassle. It uses a very efficient way to promote hiring exclusive dresses and accessories to people who does not have the means to own expensive products or are less interested in owning for various reasons. The system is designed in such a way that takes care the needs of the users and capable of providing accurate information about the products and an uncomplicated payment system.
{"title":"RentBd-An Exclusive Fashion Rental Service","authors":"Faria Soroni, M. Mahmud, Sajal Chowdhury, Mohammad Monirujjaman Khan","doi":"10.1109/AIIoT52608.2021.9454243","DOIUrl":"https://doi.org/10.1109/AIIoT52608.2021.9454243","url":null,"abstract":"This paper presents the implementation of an online fashion rental service. It can be categorized as a web-based platform where people can rent things without any hassle. It uses a very efficient way to promote hiring exclusive dresses and accessories to people who does not have the means to own expensive products or are less interested in owning for various reasons. The system is designed in such a way that takes care the needs of the users and capable of providing accurate information about the products and an uncomplicated payment system.","PeriodicalId":443405,"journal":{"name":"2021 IEEE World AI IoT Congress (AIIoT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130414960","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 : 2021-05-10DOI: 10.1109/AIIoT52608.2021.9454247
Haymontee Khan, Faria Soroni, Syed Jafar Sadek Mahmood, Noel Mannan, Mohammad Monirujjaman Khan
This paper presents an innovative application for students to study and understand their coursework without any external help from a private tutor. The system uses Augmented Reality (AR) to provide hands on experience for the students. The presented system also supports Virtual Reality (VR) that enriches this process and immerses the users into a fun and productive learning experience. Moreover, the system introduces an industry first Artificial intelligence (AI) based study guide that directs students towards necessary topics and advises them on what to improve on. All the core system features are implemented and are accessible via two mediums. First, a standalone mobile phone application. Second, a dedicated web portal.
{"title":"Education System for Bangladesh Using Augmented Reality, Virtual Reality and Artificial Intelligence","authors":"Haymontee Khan, Faria Soroni, Syed Jafar Sadek Mahmood, Noel Mannan, Mohammad Monirujjaman Khan","doi":"10.1109/AIIoT52608.2021.9454247","DOIUrl":"https://doi.org/10.1109/AIIoT52608.2021.9454247","url":null,"abstract":"This paper presents an innovative application for students to study and understand their coursework without any external help from a private tutor. The system uses Augmented Reality (AR) to provide hands on experience for the students. The presented system also supports Virtual Reality (VR) that enriches this process and immerses the users into a fun and productive learning experience. Moreover, the system introduces an industry first Artificial intelligence (AI) based study guide that directs students towards necessary topics and advises them on what to improve on. All the core system features are implemented and are accessible via two mediums. First, a standalone mobile phone application. Second, a dedicated web portal.","PeriodicalId":443405,"journal":{"name":"2021 IEEE World AI IoT Congress (AIIoT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124354065","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 : 2021-05-10DOI: 10.1109/AIIoT52608.2021.9454246
Yoshemart Amador-Salgado, J. Padilla-Medina, F. Pérez-Pinal, A. Barranco-Gutiérrez, M. Rodríguez-Licea, Juan J. Martinez-Nolasco
Security and safeness are constant topics to be solved in cities around the world, finding ways to detect weapons threatening human beings is an important challenge. This paper presents an approach for solving knife detection in Close Circuit Television (CCTV) cameras videos. In this sense, knife detection is the goal in this work and through a combination of color and invariant moments techniques, the system presented reaches the objective and turns reliable in indoor environments, with or without environmental illumination. The work has been proved under white and infrared lighting, with a range between 0.5 to 4.0 meters of distance from camera to knives with positive qualities of detection. Supporting this work, videos were uploaded on web. The reported error in them runs from 0% to 1.192%. This system may be useful at convenience stores, banks, theatres and some others public places with commercial surveillance cameras from a relatively long distance. Results offer a simple classification because to important features found. For instance, when the system may be executed by parallel processors or in pipeline method it could be detecting more than one knife on scene.
{"title":"Knife Detection using Indoor Surveillance Camera","authors":"Yoshemart Amador-Salgado, J. Padilla-Medina, F. Pérez-Pinal, A. Barranco-Gutiérrez, M. Rodríguez-Licea, Juan J. Martinez-Nolasco","doi":"10.1109/AIIoT52608.2021.9454246","DOIUrl":"https://doi.org/10.1109/AIIoT52608.2021.9454246","url":null,"abstract":"Security and safeness are constant topics to be solved in cities around the world, finding ways to detect weapons threatening human beings is an important challenge. This paper presents an approach for solving knife detection in Close Circuit Television (CCTV) cameras videos. In this sense, knife detection is the goal in this work and through a combination of color and invariant moments techniques, the system presented reaches the objective and turns reliable in indoor environments, with or without environmental illumination. The work has been proved under white and infrared lighting, with a range between 0.5 to 4.0 meters of distance from camera to knives with positive qualities of detection. Supporting this work, videos were uploaded on web. The reported error in them runs from 0% to 1.192%. This system may be useful at convenience stores, banks, theatres and some others public places with commercial surveillance cameras from a relatively long distance. Results offer a simple classification because to important features found. For instance, when the system may be executed by parallel processors or in pipeline method it could be detecting more than one knife on scene.","PeriodicalId":443405,"journal":{"name":"2021 IEEE World AI IoT Congress (AIIoT)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124745745","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 : 2021-05-10DOI: 10.1109/AIIoT52608.2021.9454224
Zexi Xing, Zhengxin Chen
In this research we focus on how to prevent Double Spending Attack (also called 51 % hash rate attack), a particular security issue related to blockchain technology in the current cryptocurrency world. We describe the main idea of our proposed Block Access Restriction (BAR) mechanism, which controls the actual block requests and detects malicious behaviors while transactions have been recorded into a specific block, to protect general miner's privileges and provide fairness in the blockchain network environment. We propose an effective way to prevent this to happen (with detailed steps), discuss how to deploy BAR switch into blockchain networks and how the BAR switch can prevent DSA while the hacker bypasses it. We also present general idea of implementing BAR switch, and point out the importance of dealing with security threat at post-quantum computing era.
{"title":"A Protecting Mechanism Against Double Spending Attack in Blockchain Systems","authors":"Zexi Xing, Zhengxin Chen","doi":"10.1109/AIIoT52608.2021.9454224","DOIUrl":"https://doi.org/10.1109/AIIoT52608.2021.9454224","url":null,"abstract":"In this research we focus on how to prevent Double Spending Attack (also called 51 % hash rate attack), a particular security issue related to blockchain technology in the current cryptocurrency world. We describe the main idea of our proposed Block Access Restriction (BAR) mechanism, which controls the actual block requests and detects malicious behaviors while transactions have been recorded into a specific block, to protect general miner's privileges and provide fairness in the blockchain network environment. We propose an effective way to prevent this to happen (with detailed steps), discuss how to deploy BAR switch into blockchain networks and how the BAR switch can prevent DSA while the hacker bypasses it. We also present general idea of implementing BAR switch, and point out the importance of dealing with security threat at post-quantum computing era.","PeriodicalId":443405,"journal":{"name":"2021 IEEE World AI IoT Congress (AIIoT)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124841527","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 : 2021-05-10DOI: 10.1109/AIIoT52608.2021.9454195
Maha Kanan Almutairi, Shameek Bhattacharjee
There has been a huge growth in the number of mobile devices in the last few years. These mobile devices are equipped with various hardware that allows them to sense and receive different types of wireless signals such as Global Positioning System (GPS), Wi-Fi, Bluetooth, and others. Today, a mobile device is capable of obtaining its location in various ways. Location-enabled mobile devices enable applications to utilize and verify users' location to allow them to access location-based resources, which is known as Location-based access control (LBAC). The implementation of LBAC has grown rapidly with the increase in the number of mobile devices and location-based services (LBS) and is expected to grow more in the future. LBAC verifies the user's location is required. User location can be obtained using different localization techniques. In this paper, we survey the localization techniques used in LBAC. Consequently, we examine and review the strength and weaknesses of each of the localization techniques. Finally, we discuss the nature of applications that suits each localization technique the most.
{"title":"A Survey in Localization Techniques Used in Location-based Access Control","authors":"Maha Kanan Almutairi, Shameek Bhattacharjee","doi":"10.1109/AIIoT52608.2021.9454195","DOIUrl":"https://doi.org/10.1109/AIIoT52608.2021.9454195","url":null,"abstract":"There has been a huge growth in the number of mobile devices in the last few years. These mobile devices are equipped with various hardware that allows them to sense and receive different types of wireless signals such as Global Positioning System (GPS), Wi-Fi, Bluetooth, and others. Today, a mobile device is capable of obtaining its location in various ways. Location-enabled mobile devices enable applications to utilize and verify users' location to allow them to access location-based resources, which is known as Location-based access control (LBAC). The implementation of LBAC has grown rapidly with the increase in the number of mobile devices and location-based services (LBS) and is expected to grow more in the future. LBAC verifies the user's location is required. User location can be obtained using different localization techniques. In this paper, we survey the localization techniques used in LBAC. Consequently, we examine and review the strength and weaknesses of each of the localization techniques. Finally, we discuss the nature of applications that suits each localization technique the most.","PeriodicalId":443405,"journal":{"name":"2021 IEEE World AI IoT Congress (AIIoT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125240643","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 : 2021-05-10DOI: 10.1109/AIIoT52608.2021.9454237
Panagiotis Savvidis, G. Papakostas
The current work in this paper inspired by the concepts of Edge Computing, Machine Learning, Computer Vision and Internet of Things (IoT). This synergy is used for monitoring apple orchard yield and more specific the detection and information extraction for apple harvesting purposes in the agriculture field. The above concept utilizes the means for a low power information relay using LoRaWAN (Low Power Wide Area Network) protocol designed to connect battery operated “things” with the internet in regional or global topology. Image acquisition and data are processed on a battery driven edge device away from the grid and on site. The proposition implementing a full YoloV4 framework in a single board computer (SBC) equipped with a proper camera and by using custom-trained weights seems to be a feasible solution. The performance of the proposed approach for good apple detection is up to 66.89% for complex dense environments. These preliminary results reveal the feasibility of this edge computing approach utilizing Artificial Intelligence and IoT technologies.
{"title":"Remote Crop Sensing with IoT and AI on the Edge","authors":"Panagiotis Savvidis, G. Papakostas","doi":"10.1109/AIIoT52608.2021.9454237","DOIUrl":"https://doi.org/10.1109/AIIoT52608.2021.9454237","url":null,"abstract":"The current work in this paper inspired by the concepts of Edge Computing, Machine Learning, Computer Vision and Internet of Things (IoT). This synergy is used for monitoring apple orchard yield and more specific the detection and information extraction for apple harvesting purposes in the agriculture field. The above concept utilizes the means for a low power information relay using LoRaWAN (Low Power Wide Area Network) protocol designed to connect battery operated “things” with the internet in regional or global topology. Image acquisition and data are processed on a battery driven edge device away from the grid and on site. The proposition implementing a full YoloV4 framework in a single board computer (SBC) equipped with a proper camera and by using custom-trained weights seems to be a feasible solution. The performance of the proposed approach for good apple detection is up to 66.89% for complex dense environments. These preliminary results reveal the feasibility of this edge computing approach utilizing Artificial Intelligence and IoT technologies.","PeriodicalId":443405,"journal":{"name":"2021 IEEE World AI IoT Congress (AIIoT)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130053271","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 : 2021-05-10DOI: 10.1109/AIIoT52608.2021.9454245
Faria Soroni, Md. Amdadul Bari, Mohammad Monirujjaman Khan
E-business has accelerated its developing position due to the world-wide fight against Covid-19.E-commerce app and website is no more an exceptional case in Bangladesh. ‘Geram Bazar’ which is an android and website interface an e- commerce system has been developed for the rising e-business platform. It has marked user eases at operating and surfing. It is a tool which can cut though the stiffs in climbing the way to make pure and affordable purchase of non- branded products. Initially, itenablescustomerstobuygoodswithafreshgradefromfarmers who produce those in their backyards with humble care. Further, the farmers would be able to avail a standard payment for each product. This feature also ensures delivery before the products freshness expires according to customer's favor. And finally due to the fact that the system would run under a brand name, it would minimize corruption in this sector which arises from hand- to-hand exchanging. This paper discusses the illustrated features and attributes of the application and website ‘Geramllazar’.
{"title":"GERAM BAZAR, A Mobile Application and Website Interface E-commerce","authors":"Faria Soroni, Md. Amdadul Bari, Mohammad Monirujjaman Khan","doi":"10.1109/AIIoT52608.2021.9454245","DOIUrl":"https://doi.org/10.1109/AIIoT52608.2021.9454245","url":null,"abstract":"E-business has accelerated its developing position due to the world-wide fight against Covid-19.E-commerce app and website is no more an exceptional case in Bangladesh. ‘Geram Bazar’ which is an android and website interface an e- commerce system has been developed for the rising e-business platform. It has marked user eases at operating and surfing. It is a tool which can cut though the stiffs in climbing the way to make pure and affordable purchase of non- branded products. Initially, itenablescustomerstobuygoodswithafreshgradefromfarmers who produce those in their backyards with humble care. Further, the farmers would be able to avail a standard payment for each product. This feature also ensures delivery before the products freshness expires according to customer's favor. And finally due to the fact that the system would run under a brand name, it would minimize corruption in this sector which arises from hand- to-hand exchanging. This paper discusses the illustrated features and attributes of the application and website ‘Geramllazar’.","PeriodicalId":443405,"journal":{"name":"2021 IEEE World AI IoT Congress (AIIoT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128415750","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 : 2021-05-10DOI: 10.1109/AIIoT52608.2021.9454166
Amber Honnef, Emily Sawall, Mohamed Mohamed, A. A. AlQahtani, Thamraa Alshayeb
Throughout the COVID-19 pandemic, one of the largest goals has been to social distance while still finding ways to continue our daily lives in a somewhat normal manner. Many businesses and institutions need ways to account for their attendees on a daily basis, but COVID-19 has created a rift in some of the normal ways that this can be done while abiding by social distancing rules and maintaining proper sanitation of objects and devices. In this study, we propose a zero-effort and zero-interaction approach, especially for being in the midst of a pandemic, as well as a probable solution for well beyond the pandemic due to this system's ease of use. This paper utilizes a Wi-Fi-enabled device (e.g., smartphone) and access points to calculate a user's location within a building and account for its activeness to consider a user's social distancing or not. The proposed scheme completely eliminates the necessity to have face-to-face interaction or physical contact with a person or a device.
{"title":"Zero-Effort Indoor Continuous Social Distancing Monitoring System","authors":"Amber Honnef, Emily Sawall, Mohamed Mohamed, A. A. AlQahtani, Thamraa Alshayeb","doi":"10.1109/AIIoT52608.2021.9454166","DOIUrl":"https://doi.org/10.1109/AIIoT52608.2021.9454166","url":null,"abstract":"Throughout the COVID-19 pandemic, one of the largest goals has been to social distance while still finding ways to continue our daily lives in a somewhat normal manner. Many businesses and institutions need ways to account for their attendees on a daily basis, but COVID-19 has created a rift in some of the normal ways that this can be done while abiding by social distancing rules and maintaining proper sanitation of objects and devices. In this study, we propose a zero-effort and zero-interaction approach, especially for being in the midst of a pandemic, as well as a probable solution for well beyond the pandemic due to this system's ease of use. This paper utilizes a Wi-Fi-enabled device (e.g., smartphone) and access points to calculate a user's location within a building and account for its activeness to consider a user's social distancing or not. The proposed scheme completely eliminates the necessity to have face-to-face interaction or physical contact with a person or a device.","PeriodicalId":443405,"journal":{"name":"2021 IEEE World AI IoT Congress (AIIoT)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128609563","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 : 2021-05-10DOI: 10.1109/AIIoT52608.2021.9454178
Sumaiya Binte Akther, Md Anik Hasan, N. Tasneem, Mohammad Monirujjaman Khan
In this current world, technology innovation is developing day by day which makes people's life easier and more comfortable. Nowadays, nearly every work of a computer and many features are presently empowered in a mobile application. To move in the city, it is quite expensive when people use transport privately but if it is possible to share, then the cost of transportation will decrease at least half or less than half. This paper presents an android application that works collectively using Google APIs and maps. This is a ride-sharing app. Users with the same destination will be able to share rides with others who are of the same place to reach. The application will calculate their fares. A database is used to store the records of registered users. By using the android based platform, application would be optimized for any usage. For the applications, efficient offline and online algorithms have been presented. An algorithm with theoretical analysis and trace-driven simulations under practical settings has been verified.
{"title":"An Interactive Android Application to Share Rides With NSUers","authors":"Sumaiya Binte Akther, Md Anik Hasan, N. Tasneem, Mohammad Monirujjaman Khan","doi":"10.1109/AIIoT52608.2021.9454178","DOIUrl":"https://doi.org/10.1109/AIIoT52608.2021.9454178","url":null,"abstract":"In this current world, technology innovation is developing day by day which makes people's life easier and more comfortable. Nowadays, nearly every work of a computer and many features are presently empowered in a mobile application. To move in the city, it is quite expensive when people use transport privately but if it is possible to share, then the cost of transportation will decrease at least half or less than half. This paper presents an android application that works collectively using Google APIs and maps. This is a ride-sharing app. Users with the same destination will be able to share rides with others who are of the same place to reach. The application will calculate their fares. A database is used to store the records of registered users. By using the android based platform, application would be optimized for any usage. For the applications, efficient offline and online algorithms have been presented. An algorithm with theoretical analysis and trace-driven simulations under practical settings has been verified.","PeriodicalId":443405,"journal":{"name":"2021 IEEE World AI IoT Congress (AIIoT)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121252354","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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