Pub Date : 2022-12-02DOI: 10.1109/ICAST55766.2022.10039517
R. Singh, Riya Thakkar, Manav Thakkar, Uday Rote, Sunil B. Patil, Bhagyashree Ingle
This is an Intel device that can be utilized in security applications. Concepts of cybersecurity and electronics are used in this device. There is a lot of communication and intelligence technology being used by the Indian military. This gadget, on the other hand, deviates since it can collect data from any adjacent device simply by existing in the neighborhood. It may also be used as a jammer in a variety of situations. It may effectively turn off the internet in the region. It is necessary to employ both hardware and software. This device mostly utilizes the ESP 8266 module. A Wi-fi Module is included in the chip. This module can connect to any nearby device by sending de-authentication packets to eliminate other networks and only connect to itself when the scripts are launched. Once linked, it can also generate dozens of fake clones to confuse the user. When kept in a varied range, this device can also be used as a wi-fi jammer. Because the ESP 8266 has integrated config software for versatility, we can also configure it to suit our needs. Not only will the gadget be able to extract information like the number of devices linked to a network and the MAC addresses of the linked devices, but it will also be able to create fake clones to create confusion so that the user gets stuck in a loop.
{"title":"WiFi Deauth and Cloning using ESP8266","authors":"R. Singh, Riya Thakkar, Manav Thakkar, Uday Rote, Sunil B. Patil, Bhagyashree Ingle","doi":"10.1109/ICAST55766.2022.10039517","DOIUrl":"https://doi.org/10.1109/ICAST55766.2022.10039517","url":null,"abstract":"This is an Intel device that can be utilized in security applications. Concepts of cybersecurity and electronics are used in this device. There is a lot of communication and intelligence technology being used by the Indian military. This gadget, on the other hand, deviates since it can collect data from any adjacent device simply by existing in the neighborhood. It may also be used as a jammer in a variety of situations. It may effectively turn off the internet in the region. It is necessary to employ both hardware and software. This device mostly utilizes the ESP 8266 module. A Wi-fi Module is included in the chip. This module can connect to any nearby device by sending de-authentication packets to eliminate other networks and only connect to itself when the scripts are launched. Once linked, it can also generate dozens of fake clones to confuse the user. When kept in a varied range, this device can also be used as a wi-fi jammer. Because the ESP 8266 has integrated config software for versatility, we can also configure it to suit our needs. Not only will the gadget be able to extract information like the number of devices linked to a network and the MAC addresses of the linked devices, but it will also be able to create fake clones to create confusion so that the user gets stuck in a loop.","PeriodicalId":225239,"journal":{"name":"2022 5th International Conference on Advances in Science and Technology (ICAST)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125530045","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}
People with vision impairments and other visual disorders require support to complete daily tasks like moving around and discovering new places. They may find it difficult to navigate through a new place and could be put in danger if they run into unforeseen barriers or could get lost easily. This paper discusses a solution to aid the blind and visually impaired navigate independently while avoiding obstacles in their path. The system has two operational modes, Outdoor Navigation and Indoor Navigation, and it alerts the user through vibration (tactile) and audio feedback. While the Indoor mode accompanies a user to a labelled site, the Outdoor mode leads them to a geographical destination. The solution was able to reduce the Clearance time by 27.35 percent and the Obstacle hit rate by 66.6 percent. The system is hassle-free, comfortable to use and affordable because it requires only the user's smartphone and a custom-made hardware waist belt.
{"title":"Smartphone Based Tactile Feedback System Providing Navigation and Obstacle Avoidance to the Blind and Visually Impaired","authors":"Anish Pawar, Jatin Nainani, Priyanka Hotchandani, Gayatri Patil","doi":"10.1109/ICAST55766.2022.10039535","DOIUrl":"https://doi.org/10.1109/ICAST55766.2022.10039535","url":null,"abstract":"People with vision impairments and other visual disorders require support to complete daily tasks like moving around and discovering new places. They may find it difficult to navigate through a new place and could be put in danger if they run into unforeseen barriers or could get lost easily. This paper discusses a solution to aid the blind and visually impaired navigate independently while avoiding obstacles in their path. The system has two operational modes, Outdoor Navigation and Indoor Navigation, and it alerts the user through vibration (tactile) and audio feedback. While the Indoor mode accompanies a user to a labelled site, the Outdoor mode leads them to a geographical destination. The solution was able to reduce the Clearance time by 27.35 percent and the Obstacle hit rate by 66.6 percent. The system is hassle-free, comfortable to use and affordable because it requires only the user's smartphone and a custom-made hardware waist belt.","PeriodicalId":225239,"journal":{"name":"2022 5th International Conference on Advances in Science and Technology (ICAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126016726","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 : 2022-12-02DOI: 10.1109/ICAST55766.2022.10039582
R. Roy, Sunita Patil
Today, the number of vehicles on the road is drastically growing and thus, the existing traffic arrangement method is unable to adequately address traffic congestion issues, particularly at intersections and four-way intersections. High Priority Vehicles (HPV) get caught in traffic as a result of traffic congestion, causing delays in their emergency services. This paper provides a solution addressing the challenge of traffic congestion to supply priority vehicles with fast movement to provide timely transportation and reaction with an automated intelligent traffic management system that can modify paths and decisions itself based on vehicle density and emergency priority with the use of deep learning algorithms.
{"title":"Automated Traffic Management Handling Traffic Congestions","authors":"R. Roy, Sunita Patil","doi":"10.1109/ICAST55766.2022.10039582","DOIUrl":"https://doi.org/10.1109/ICAST55766.2022.10039582","url":null,"abstract":"Today, the number of vehicles on the road is drastically growing and thus, the existing traffic arrangement method is unable to adequately address traffic congestion issues, particularly at intersections and four-way intersections. High Priority Vehicles (HPV) get caught in traffic as a result of traffic congestion, causing delays in their emergency services. This paper provides a solution addressing the challenge of traffic congestion to supply priority vehicles with fast movement to provide timely transportation and reaction with an automated intelligent traffic management system that can modify paths and decisions itself based on vehicle density and emergency priority with the use of deep learning algorithms.","PeriodicalId":225239,"journal":{"name":"2022 5th International Conference on Advances in Science and Technology (ICAST)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127130240","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 India Agriculture is the main occupation. Food is the essential thing for every living being to survive. So, producing a good quality of crops in good environment is always first priority. Nowadays IoT is gaining an important place in research across the world. Agricultural Smart Crop Monitoring system is one of the applications of the IoT. Besides natural disaster and pollution, pests and animal are also one of the major reasons behind the crop damaging. Due to pests and improper fertilization, many times crops get damaged which caused great loss to farmers. While sometimes wild animals destroy the crop by trespassing in the farms. To reduce these damages at some extent, we are making a Smart Agricultural Crop Monitoring system. The proposed system is the combination of wireless communications and image processing technologies. This system will monitor the entire farm through web cam and detect the pest as well as the animal intrusion reducing the farmer efforts.
{"title":"Smart Agricultural Crop Monitoring System","authors":"Sahil Chari, Samrat Parab, Harshraj Pawar, Durgesh Raut, Gauri Chavan","doi":"10.1109/ICAST55766.2022.10039661","DOIUrl":"https://doi.org/10.1109/ICAST55766.2022.10039661","url":null,"abstract":"In India Agriculture is the main occupation. Food is the essential thing for every living being to survive. So, producing a good quality of crops in good environment is always first priority. Nowadays IoT is gaining an important place in research across the world. Agricultural Smart Crop Monitoring system is one of the applications of the IoT. Besides natural disaster and pollution, pests and animal are also one of the major reasons behind the crop damaging. Due to pests and improper fertilization, many times crops get damaged which caused great loss to farmers. While sometimes wild animals destroy the crop by trespassing in the farms. To reduce these damages at some extent, we are making a Smart Agricultural Crop Monitoring system. The proposed system is the combination of wireless communications and image processing technologies. This system will monitor the entire farm through web cam and detect the pest as well as the animal intrusion reducing the farmer efforts.","PeriodicalId":225239,"journal":{"name":"2022 5th International Conference on Advances in Science and Technology (ICAST)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129782097","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}
Brain tumour is a serious type of tumour, as it causes millions of deaths. It can be prevented if a tumour is detected in its early stage. Millions of deaths can be prevented. A brain tumour occurs because of multiplying clusters of cells which are not normal in our brain function. There are numerous types of brain tumours. Brain tumours can be cancerous or benign. As cells grow in malignant or benign tumours, weight of cells increases inside the brain which causes the tension inside your cranium to rise. This can lead to a serious condition of the patient, and it can also be lethal. Detecting brain tumours in the early stage is difficult as some patients do not notice any changes. Some basic symptoms are headache, blurry vision, dizziness etc. Main aim of our research is to ease the work of doctors as they must read a manual report of a patient which is a time-consuming process. Our project increases the level and efficiency of detecting tumours in the early stage. It also helps to detect types of tumours.
{"title":"Brain Tumor Classification using Deep Learning","authors":"Ashish Sorte, Ruchita Sathe, Shubham Yadav, Chitra Bhole","doi":"10.1109/ICAST55766.2022.10039550","DOIUrl":"https://doi.org/10.1109/ICAST55766.2022.10039550","url":null,"abstract":"Brain tumour is a serious type of tumour, as it causes millions of deaths. It can be prevented if a tumour is detected in its early stage. Millions of deaths can be prevented. A brain tumour occurs because of multiplying clusters of cells which are not normal in our brain function. There are numerous types of brain tumours. Brain tumours can be cancerous or benign. As cells grow in malignant or benign tumours, weight of cells increases inside the brain which causes the tension inside your cranium to rise. This can lead to a serious condition of the patient, and it can also be lethal. Detecting brain tumours in the early stage is difficult as some patients do not notice any changes. Some basic symptoms are headache, blurry vision, dizziness etc. Main aim of our research is to ease the work of doctors as they must read a manual report of a patient which is a time-consuming process. Our project increases the level and efficiency of detecting tumours in the early stage. It also helps to detect types of tumours.","PeriodicalId":225239,"journal":{"name":"2022 5th International Conference on Advances in Science and Technology (ICAST)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124621545","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 : 2022-12-02DOI: 10.1109/ICAST55766.2022.10039562
H. P. Khandagale, P. Halkarnikar, H.A. Trmare, S. Mali
The technology that is frequently utilized for storing a lot of data in any company is cloud computing. A lot of data is produced every day in the data-driven world of today. Data backup and recovery services are required to deal with the unexpected loss of these data. In this paper a multilayer perceptron (MLP) model is designed for predicting the missing data while receiving on cloud based service. The lost data recovery is done by predicting the missing data using machine learning based approach. The multi-layer perceptron model shows good results in terms of RMSE values.
{"title":"Machine Learning for Fog Data Recovery in Cloud Computing","authors":"H. P. Khandagale, P. Halkarnikar, H.A. Trmare, S. Mali","doi":"10.1109/ICAST55766.2022.10039562","DOIUrl":"https://doi.org/10.1109/ICAST55766.2022.10039562","url":null,"abstract":"The technology that is frequently utilized for storing a lot of data in any company is cloud computing. A lot of data is produced every day in the data-driven world of today. Data backup and recovery services are required to deal with the unexpected loss of these data. In this paper a multilayer perceptron (MLP) model is designed for predicting the missing data while receiving on cloud based service. The lost data recovery is done by predicting the missing data using machine learning based approach. The multi-layer perceptron model shows good results in terms of RMSE values.","PeriodicalId":225239,"journal":{"name":"2022 5th International Conference on Advances in Science and Technology (ICAST)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117102766","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}
K. J. Somaiya Institute of Engineering and Information Technology (KJSIEIT) affiliated to the University of Mumbai (UoM) manages deadstock/inventory in a combination of two systems the traditional roster system and spreadsheet tools such as Google Sheets and MS Excel. The catalogues and inventory listings are also manually recorded on physical paper that is not part of a single or unified database. In addition, tasks such as inter-departmental lending/borrowing, scrapping and renewal are also done manually or sometimes in a verbal manner which can cause many issues such as redundancy, repetitive entry or even undocumented transactions. Clearly, the record-keeping of laboratory equipment(s) and other similar inventory is a critical issue for most engineering institutes. This project's prime focus is to establish an advanced system for keeping records of the inventory by the means of a software-based solution; an Inventory Management System (IMS) for Education Institutes. This should reduce the problems surrounding manual management such as loss of time, quality of work and maintenance cost(s) by the means of an organic fusion of Inventory Management and the IT environment. This system's frontend development is done using three programming languages JavaScript (JS), Hypertext Markup Language (HTML) and Cascading Style Sheet (CSS). The software is built on a standard WAMP (Windows, Apache, MySQL and PHP) stack with LDAP authentication on the backend. Hypertext Pre-processor (PHP) with MySQL for native database management and storage.
隶属于孟买大学(UoM)的K. J. Somaiya工程和信息技术研究所(kjsiit)通过两种系统的结合来管理库存/库存:传统的名册系统和电子表格工具，如Google Sheets和MS Excel。目录和库存清单也是手工记录在实物纸上，而不是单一或统一数据库的一部分。此外，部门间的借出/借用、报废及续期等工作亦须以人手或有时以口头方式完成，这可能造成冗余、重复入帐或甚至无文件交易等问题。显然，对大多数工程学院来说，实验室设备和其他类似库存的记录保存是一个关键问题。该项目的主要重点是建立一个先进的系统，通过基于软件的解决方案保存库存记录;教育机构库存管理系统(IMS)。通过库存管理和IT环境的有机融合，这将减少围绕人工管理的问题，例如时间损失、工作质量和维护成本。本系统的前端开发使用JavaScript (JS)、超文本标记语言(HTML)和层叠样式表(CSS)三种编程语言完成。该软件建立在一个标准的WAMP (Windows、Apache、MySQL和PHP)堆栈上，后端是LDAP身份验证。超文本预处理器(PHP)， MySQL用于本地数据库管理和存储。
{"title":"Inventory Management System for Education Institutions","authors":"Shashwati Singh, Kavva Kunder, Varshil Jain, Vidya Sagvekar","doi":"10.1109/ICAST55766.2022.10039520","DOIUrl":"https://doi.org/10.1109/ICAST55766.2022.10039520","url":null,"abstract":"K. J. Somaiya Institute of Engineering and Information Technology (KJSIEIT) affiliated to the University of Mumbai (UoM) manages deadstock/inventory in a combination of two systems the traditional roster system and spreadsheet tools such as Google Sheets and MS Excel. The catalogues and inventory listings are also manually recorded on physical paper that is not part of a single or unified database. In addition, tasks such as inter-departmental lending/borrowing, scrapping and renewal are also done manually or sometimes in a verbal manner which can cause many issues such as redundancy, repetitive entry or even undocumented transactions. Clearly, the record-keeping of laboratory equipment(s) and other similar inventory is a critical issue for most engineering institutes. This project's prime focus is to establish an advanced system for keeping records of the inventory by the means of a software-based solution; an Inventory Management System (IMS) for Education Institutes. This should reduce the problems surrounding manual management such as loss of time, quality of work and maintenance cost(s) by the means of an organic fusion of Inventory Management and the IT environment. This system's frontend development is done using three programming languages JavaScript (JS), Hypertext Markup Language (HTML) and Cascading Style Sheet (CSS). The software is built on a standard WAMP (Windows, Apache, MySQL and PHP) stack with LDAP authentication on the backend. Hypertext Pre-processor (PHP) with MySQL for native database management and storage.","PeriodicalId":225239,"journal":{"name":"2022 5th International Conference on Advances in Science and Technology (ICAST)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130945494","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 : 2022-12-02DOI: 10.1109/ICAST55766.2022.10039631
Saurabha Joglekar, Savita Sangam
There are several non-profits and non-governmental organizations (NGOs) in India that support a wide range of social causes. Some NGOs are large in size and outreach, whereas the majority are small in size and outreach. However, one thing that all NGOs have in common is the inflow of financial donations from well-wishers and donors. This project offers a simple open-source data platform for grass-roots NGOs with little resources to gather donations information, allowing them to move towards digitalization. This platform will assist them in correctly tracking their donations as well as categorizing them, allowing them to take better informed decisions in the foreseeable future utilizing the underlying data. On top of this data platform, the project also provides a donor analytics solution to help donors get started with analytics. It includes a MIS data dump as well as a thorough donor / donations exploratory data analysis dashboard. It then offers a more targeted segmentation and clustering solution, assisting the NGO in accurately categorizing their donations into distinct buckets. The research employs the well-known RFM Model for segmentation and the K-Means technique for grouping donors. This study divides the donor population into five categories based on the data utilized in this project: Loyal Donors, Big Donors, about to Lose Donors, Best Donors, and Lost Donors.
{"title":"Donor Analytics and Data Platform for Indian NGOs: A Digitization Approach","authors":"Saurabha Joglekar, Savita Sangam","doi":"10.1109/ICAST55766.2022.10039631","DOIUrl":"https://doi.org/10.1109/ICAST55766.2022.10039631","url":null,"abstract":"There are several non-profits and non-governmental organizations (NGOs) in India that support a wide range of social causes. Some NGOs are large in size and outreach, whereas the majority are small in size and outreach. However, one thing that all NGOs have in common is the inflow of financial donations from well-wishers and donors. This project offers a simple open-source data platform for grass-roots NGOs with little resources to gather donations information, allowing them to move towards digitalization. This platform will assist them in correctly tracking their donations as well as categorizing them, allowing them to take better informed decisions in the foreseeable future utilizing the underlying data. On top of this data platform, the project also provides a donor analytics solution to help donors get started with analytics. It includes a MIS data dump as well as a thorough donor / donations exploratory data analysis dashboard. It then offers a more targeted segmentation and clustering solution, assisting the NGO in accurately categorizing their donations into distinct buckets. The research employs the well-known RFM Model for segmentation and the K-Means technique for grouping donors. This study divides the donor population into five categories based on the data utilized in this project: Loyal Donors, Big Donors, about to Lose Donors, Best Donors, and Lost Donors.","PeriodicalId":225239,"journal":{"name":"2022 5th International Conference on Advances in Science and Technology (ICAST)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123468134","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 : 2022-12-02DOI: 10.1109/ICAST55766.2022.10039652
Kunal Bhujbal, Mahavir Devmane, Ananya More
Mobile robots use onboard range sensors and accurate, real-time mapping to perform autonomous navigation in challenging terrain. Absolute localisation based on the tracking of exterior geometric or visual cues is frequently used in existing techniques. To overcome the dependability issues with current methods, we propose a novel method for terrain mapping that only uses interoceptive clustering from kinematic and inertial parameters. The suggested approach takes into account the state estimation's drift and uncertainty as well as noise model for the distance sensor. As probabilistic terrain estimate, it generates a grid-based altitude projection with both higher and lower confidence bounds. We demonstrate the effectiveness of our approach for legitimate terrain mapping with wheeled robots using simulated datasets and practical experiments, and we compare the terrain rebuilding with referenced maps that depict the ground reality.
{"title":"Probabilistic Method for Mapping & 3D SLAM of an off-road Terrain with Four Wheeled Robot","authors":"Kunal Bhujbal, Mahavir Devmane, Ananya More","doi":"10.1109/ICAST55766.2022.10039652","DOIUrl":"https://doi.org/10.1109/ICAST55766.2022.10039652","url":null,"abstract":"Mobile robots use onboard range sensors and accurate, real-time mapping to perform autonomous navigation in challenging terrain. Absolute localisation based on the tracking of exterior geometric or visual cues is frequently used in existing techniques. To overcome the dependability issues with current methods, we propose a novel method for terrain mapping that only uses interoceptive clustering from kinematic and inertial parameters. The suggested approach takes into account the state estimation's drift and uncertainty as well as noise model for the distance sensor. As probabilistic terrain estimate, it generates a grid-based altitude projection with both higher and lower confidence bounds. We demonstrate the effectiveness of our approach for legitimate terrain mapping with wheeled robots using simulated datasets and practical experiments, and we compare the terrain rebuilding with referenced maps that depict the ground reality.","PeriodicalId":225239,"journal":{"name":"2022 5th International Conference on Advances in Science and Technology (ICAST)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115006282","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 : 2022-12-02DOI: 10.1109/ICAST55766.2022.10039585
Bhumit Shah, S. N.
Nowadays, all of us are dependent upon on social media websites such as Facebook, Snapchat, and Instagram to stay in touch with each other. Although they have their benefits, social media cannot replace real- world human connections. Physical face to face contact is mandatory to release the hormones that make you feel positive and happier along with reducing stress. Ironically, the same technology that has been designed to connect people and bring them closer can also make you feel more isolated and lonelier if you spend too much time on it. This has increased since the integration of AI in social media. In a very short time, the AI industry has permeated through various niches of technology and has completely changed the way we interact with social media. Various social media platforms such as Facebook, snapchat, twitter now have teams of artificial intelligence researchers whose work to analyse and develop AI systems with the intelligence level of a human. Today, AI can create social media posts for you and send targeted ads based on information it has collected about you. This means we have taught machines to copy human intelligence. Although this may seem like a step in the right direction technology wise, it has had a damaging impact on our mental health.
{"title":"A Comprehensive Review of the Negative Impact of Integration of AI in Social-Media in Mental Health of Users","authors":"Bhumit Shah, S. N.","doi":"10.1109/ICAST55766.2022.10039585","DOIUrl":"https://doi.org/10.1109/ICAST55766.2022.10039585","url":null,"abstract":"Nowadays, all of us are dependent upon on social media websites such as Facebook, Snapchat, and Instagram to stay in touch with each other. Although they have their benefits, social media cannot replace real- world human connections. Physical face to face contact is mandatory to release the hormones that make you feel positive and happier along with reducing stress. Ironically, the same technology that has been designed to connect people and bring them closer can also make you feel more isolated and lonelier if you spend too much time on it. This has increased since the integration of AI in social media. In a very short time, the AI industry has permeated through various niches of technology and has completely changed the way we interact with social media. Various social media platforms such as Facebook, snapchat, twitter now have teams of artificial intelligence researchers whose work to analyse and develop AI systems with the intelligence level of a human. Today, AI can create social media posts for you and send targeted ads based on information it has collected about you. This means we have taught machines to copy human intelligence. Although this may seem like a step in the right direction technology wise, it has had a damaging impact on our mental health.","PeriodicalId":225239,"journal":{"name":"2022 5th International Conference on Advances in Science and Technology (ICAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123395872","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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