Pub Date : 2024-07-02DOI: 10.59256/ijire.20240504001
R. SaiKumar, Dr. V. Sulochana
Security is one of the crucial one in the technologized world, because information grows rapidly day by day. As population grows every year, information shared over internet becomes higher than what we expect and it needs preservation of data because of third party or unauthorized access. There are several techniques and methods are introduced and implemented to protect the data about the users, but security was not upto the level of protecting the data what actually we need. This review article is written about the concepts and methods implemented by various researchers for securing the data using by different users to communicate with known user at destination point without any third-party access with the help of image fusion techniques.
{"title":"An Analytical Study of Image Fusion Techniques in Image Processing for Data Security & Privacy","authors":"R. SaiKumar, Dr. V. Sulochana","doi":"10.59256/ijire.20240504001","DOIUrl":"https://doi.org/10.59256/ijire.20240504001","url":null,"abstract":"Security is one of the crucial one in the technologized world, because information grows rapidly day by day. As population grows every year, information shared over internet becomes higher than what we expect and it needs preservation of data because of third party or unauthorized access. There are several techniques and methods are introduced and implemented to protect the data about the users, but security was not upto the level of protecting the data what actually we need. This review article is written about the concepts and methods implemented by various researchers for securing the data using by different users to communicate with known user at destination point without any third-party access with the help of image fusion techniques.","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":"32 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141687550","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 : 2024-05-20DOI: 10.59256/ijire.20240503008
G. Oviya, N. Sakthivel
Handwritten digit recognition is the intelligence of computers to recognize digits written by humans. But it becomes one of the most challenging tasks for machines as handwritten digits are not perfect and can be made with many different: flavors, size, thickness. Thus, as a solution to this problem, Handwriting digit recognition model comes into picture. Many machine learning techniques have been employed to solve the handwritten digit recognition problem. This paper focuses on Neural Network (NN) approaches. Among the three famous NN approaches: deep neural network (DNN), deep belief network (DBN) and convolutional neural network (CNN), the specialization of CNN as compared to other NN of being able to detect pattern is what makes it so useful for recognizing handwritten digits. Humans can very easily see, read & write any handwritten digits, when written in proper format. Even if the digits are not written in proper format we can use our logic and predict what digit it could be. But It is a hard task for the machine to recognize handwritten digits as these are not perfect and can be made with many different flavors. Thus handwritten digit recognition is the solution to this problem which uses the image of a digit and recognizes the digit present in the image. The handwritten digit recognition is the ability of computers to recognize human handwritten digits. The goal is to build a model that can efficiently and reliably recognize the digits and output the proper result. Amongst all the other neural networks, working and implementing a model using Convolution Neural Network gives out the most precise results. It is most popularly used for analyzing images as well as for other data analysis or classification problems. CNN has hidden layers called convolutional layers. These layers work the same way as other layers do but here we need to specify the no of filters each layer should have These filters are actually what detects the pattern. Patterns could be edges, corners, circles or any complex other objects like eyes, ears or even deeper full dogs, cats, etc. Thus, the specialization of CNN as compared to other NN of being able to detect patterns is what makes it so useful for recognizing handwritten digits Key Word: Neural Networks; Convolutional Neural Networks (CNN); Image Processing; Optical Character Recognition (OCR); MNIST Dataset
手写数字识别是计算机识别人类书写数字的智能技术。但是，由于手写数字并不完美，而且可能有多种不同的味道、大小和粗细，因此这对机器来说是最具挑战性的任务之一。因此，作为这一问题的解决方案，手写数字识别模型应运而生。许多机器学习技术都被用来解决手写数字识别问题。本文重点介绍神经网络（NN）方法。在深度神经网络 (DNN)、深度信念网络 (DBN) 和卷积神经网络 (CNN) 这三种著名的 NN 方法中，与其他 NN 相比，CNN 的专长是能够检测模式，这也是它在识别手写数字时如此有用的原因。如果手写数字的格式正确，人类可以非常容易地看到、读到和写出任何手写数字。即使数字的书写格式不正确，我们也能通过逻辑推理预测出它可能是哪位数字。但对于机器来说，识别手写数字是一项艰巨的任务，因为手写数字并不完美，而且可以有多种不同的写法。因此，手写数字识别是解决这一问题的方法，它使用数字图像并识别图像中的数字。手写数字识别是计算机识别人类手写数字的能力。其目标是建立一个能够高效、可靠地识别数字并输出正确结果的模型。在所有其他神经网络中，使用卷积神经网络工作和实施模型能得到最精确的结果。它最常用于分析图像以及其他数据分析或分类问题。CNN 具有称为卷积层的隐藏层。这些层的工作方式与其他层相同，但在这里，我们需要指定每个层应具有的过滤器数量。模式可以是边缘、角落、圆圈或任何复杂的其他物体，如眼睛、耳朵甚至更深层次的狗、猫等。因此，与其他能够检测模式的神经网络相比，CNN 的专业性使其在识别手写数字时非常有用：神经网络；卷积神经网络（CNN）；图像处理；光学字符识别（OCR）；MNIST 数据集
{"title":"Handwritten Digit Recognition","authors":"G. Oviya, N. Sakthivel","doi":"10.59256/ijire.20240503008","DOIUrl":"https://doi.org/10.59256/ijire.20240503008","url":null,"abstract":"Handwritten digit recognition is the intelligence of computers to recognize digits written by humans. But it becomes one of the most challenging tasks for machines as handwritten digits are not perfect and can be made with many different: flavors, size, thickness. Thus, as a solution to this problem, Handwriting digit recognition model comes into picture. Many machine learning techniques have been employed to solve the handwritten digit recognition problem. This paper focuses on Neural Network (NN) approaches. Among the three famous NN approaches: deep neural network (DNN), deep belief network (DBN) and convolutional neural network (CNN), the specialization of CNN as compared to other NN of being able to detect pattern is what makes it so useful for recognizing handwritten digits. Humans can very easily see, read & write any handwritten digits, when written in proper format. Even if the digits are not written in proper format we can use our logic and predict what digit it could be. But It is a hard task for the machine to recognize handwritten digits as these are not perfect and can be made with many different flavors. Thus handwritten digit recognition is the solution to this problem which uses the image of a digit and recognizes the digit present in the image. The handwritten digit recognition is the ability of computers to recognize human handwritten digits. The goal is to build a model that can efficiently and reliably recognize the digits and output the proper result. Amongst all the other neural networks, working and implementing a model using Convolution Neural Network gives out the most precise results. It is most popularly used for analyzing images as well as for other data analysis or classification problems. CNN has hidden layers called convolutional layers. These layers work the same way as other layers do but here we need to specify the no of filters each layer should have These filters are actually what detects the pattern. Patterns could be edges, corners, circles or any complex other objects like eyes, ears or even deeper full dogs, cats, etc. Thus, the specialization of CNN as compared to other NN of being able to detect patterns is what makes it so useful for recognizing handwritten digits Key Word: Neural Networks; Convolutional Neural Networks (CNN); Image Processing; Optical Character Recognition (OCR); MNIST Dataset","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":"76 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141120983","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 : 2024-05-20DOI: 10.59256/ijire.20240503011
Jimy Johny E, Manikandan N R, Nandana Suresh, K. P. Devanand, Afna V N
The traditional farming practices of ancient times were rooted in soil quality and land nutrition, contributing to successful crop yields and profitability. However, these methods were labor-intensive and time-consuming, requiring substantial manpower to maintain extensive agricultural lands. Despite the emphasis on soil quality, challenges arose in consistently maintaining optimal nutrition levels for crops. In contrast, hydroponics, a modern agricultural technique, revolutionizes this paradigm by cultivating plants in a soil-free water solution. This innovative approach offers potential solutions to the challenges of traditional farming, providing a more space-efficient and controlled environment for crop growth, ultimately enhancing productivity and nutritional management.
{"title":"Smart Robotics in Hydroponic Agriculture: Enhancing Efficiency and Sustainability","authors":"Jimy Johny E, Manikandan N R, Nandana Suresh, K. P. Devanand, Afna V N","doi":"10.59256/ijire.20240503011","DOIUrl":"https://doi.org/10.59256/ijire.20240503011","url":null,"abstract":"The traditional farming practices of ancient times were rooted in soil quality and land nutrition, contributing to successful crop yields and profitability. However, these methods were labor-intensive and time-consuming, requiring substantial manpower to maintain extensive agricultural lands. Despite the emphasis on soil quality, challenges arose in consistently maintaining optimal nutrition levels for crops. In contrast, hydroponics, a modern agricultural technique, revolutionizes this paradigm by cultivating plants in a soil-free water solution. This innovative approach offers potential solutions to the challenges of traditional farming, providing a more space-efficient and controlled environment for crop growth, ultimately enhancing productivity and nutritional management.","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":"51 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141122193","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 : 2024-05-20DOI: 10.59256/ijire.20240503010
RV Kavya, S. Malini
Storing a policy of commercial and non-commercial vehicles. So, the policies are generated from different kind of authorized companies. In these applications the branch master can analyse what is the status of issued policies. The analysis is depended on issued data policy, starting date, ending date of policy and also to manage the next intent policies, so far a kind of activities in branches are handled by excels and paper work by this work, lakh of data losing and had problem with filter of existing customers. This application is based on web technology, we have one more portal for collect number of information of vehicles and insurance companies. Storing and accessing essential information related to insurance policies, including policy holder details, coverage terms, and effective data. This module serves as a reference point for users to quickly retrieve policy- specific information.In addition to the core modules focused on insurance policy management, our student project includes a Renewal Date Reminder module to ensure timely renewal of policies on an annual basis. The Renewal Date Reminder module is designed to streamline the renewal process and mitigate the risk of policy lapses by proactively notifying policyholders and administrators of upcoming renewal deadlines. Prior to the renewal date, the system generates personalized notifications to remind policyholders of the impending deadline. These notifications can be sent via email, SMS, or through the system's dashboard, depending on user preferences.
{"title":"Motorized Insurance with Group of Data Analysis","authors":"RV Kavya, S. Malini","doi":"10.59256/ijire.20240503010","DOIUrl":"https://doi.org/10.59256/ijire.20240503010","url":null,"abstract":"Storing a policy of commercial and non-commercial vehicles. So, the policies are generated from different kind of authorized companies. In these applications the branch master can analyse what is the status of issued policies. The analysis is depended on issued data policy, starting date, ending date of policy and also to manage the next intent policies, so far a kind of activities in branches are handled by excels and paper work by this work, lakh of data losing and had problem with filter of existing customers. This application is based on web technology, we have one more portal for collect number of information of vehicles and insurance companies. Storing and accessing essential information related to insurance policies, including policy holder details, coverage terms, and effective data. This module serves as a reference point for users to quickly retrieve policy- specific information.In addition to the core modules focused on insurance policy management, our student project includes a Renewal Date Reminder module to ensure timely renewal of policies on an annual basis. The Renewal Date Reminder module is designed to streamline the renewal process and mitigate the risk of policy lapses by proactively notifying policyholders and administrators of upcoming renewal deadlines. Prior to the renewal date, the system generates personalized notifications to remind policyholders of the impending deadline. These notifications can be sent via email, SMS, or through the system's dashboard, depending on user preferences.","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":"6 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141120994","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 : 2024-05-20DOI: 10.59256/ijire.20240503009
Vijith P R, Aromal K R, Aswin T M, Nihal Navas K M
In today's fast-paced world, many elderly individuals live alone, increasing their risk of falls without immediate help. To address this, we propose a system with wall-mounted cameras and mmWave sensors in the home to detect falls quickly and accurately. When a fall is detected, the system alerts medical services and caregivers for prompt assistance. All fall-related data is securely stored on a website, accessible to medical professionals and family members for real-time monitoring. This system ensures the safety of the elderly and provides peace of mind for their loved ones by bridging technology and caregiving. Key Word: Elderly individuals, wall-mounted cameras, mmWave sensors, falls, secure website, monitoring, alert.
{"title":"Intelligent Fall Detection for Elders","authors":"Vijith P R, Aromal K R, Aswin T M, Nihal Navas K M","doi":"10.59256/ijire.20240503009","DOIUrl":"https://doi.org/10.59256/ijire.20240503009","url":null,"abstract":"In today's fast-paced world, many elderly individuals live alone, increasing their risk of falls without immediate help. To address this, we propose a system with wall-mounted cameras and mmWave sensors in the home to detect falls quickly and accurately. When a fall is detected, the system alerts medical services and caregivers for prompt assistance. All fall-related data is securely stored on a website, accessible to medical professionals and family members for real-time monitoring. This system ensures the safety of the elderly and provides peace of mind for their loved ones by bridging technology and caregiving. Key Word: Elderly individuals, wall-mounted cameras, mmWave sensors, falls, secure website, monitoring, alert.","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":"72 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141121467","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 : 2024-05-11DOI: 10.59256/ijire.20240502023
Raja Khan, Sourav Paul, Rohit Kumar, Tanmoy Poali, Soumyajit Shome, Sujata Ghatak, Kaustuv Bhattacharjee, Anirban Das
goat Q, a distributed message broker explores the design and implementation of a robust message broker system. Utilizing advanced distributed concepts of network and synchronization the project aims to enhance efficiency and reliability of message delivery which fits in an event driven system. It also ensures fault tolerance and scalability. It also considers the integration with containerization and on premise and cloud deployment models to use goatQ as a message broker solution in production. The project seeks to unravel the intricate design of message brokers, illuminating the functionality of publishers, subscribers, and message queues. A key focus lies in a rigorous performance analysis, evaluating metrics such as throughput, latency, and resource use across wide variety message broker implementations. Scalability and fault tolerance, critical considerations in the realm of distributed systems, are addressed through an exploration of how message brokers adapt to dynamic scaling requirements and recover from failures. By synthesizing findings from diverse dimensions of message broker technology, this research project aims to equip technology professionals with valuable insights, aiding informed decision-making in the selection, optimization, and integration of message brokers within their ecosystems. Keyword: About four key words or phrases in alphabetical order, separated by commas. Keywords are used to retrieve documents in an information system such as an online journal or a search engine. (Mention 4-5 keywords)
{"title":"Goat Q: A distributed message broker","authors":"Raja Khan, Sourav Paul, Rohit Kumar, Tanmoy Poali, Soumyajit Shome, Sujata Ghatak, Kaustuv Bhattacharjee, Anirban Das","doi":"10.59256/ijire.20240502023","DOIUrl":"https://doi.org/10.59256/ijire.20240502023","url":null,"abstract":"goat Q, a distributed message broker explores the design and implementation of a robust message broker system. Utilizing advanced distributed concepts of network and synchronization the project aims to enhance efficiency and reliability of message delivery which fits in an event driven system. It also ensures fault tolerance and scalability. It also considers the integration with containerization and on premise and cloud deployment models to use goatQ as a message broker solution in production. The project seeks to unravel the intricate design of message brokers, illuminating the functionality of publishers, subscribers, and message queues. A key focus lies in a rigorous performance analysis, evaluating metrics such as throughput, latency, and resource use across wide variety message broker implementations. Scalability and fault tolerance, critical considerations in the realm of distributed systems, are addressed through an exploration of how message brokers adapt to dynamic scaling requirements and recover from failures. By synthesizing findings from diverse dimensions of message broker technology, this research project aims to equip technology professionals with valuable insights, aiding informed decision-making in the selection, optimization, and integration of message brokers within their ecosystems. Keyword: About four key words or phrases in alphabetical order, separated by commas. Keywords are used to retrieve documents in an information system such as an online journal or a search engine. (Mention 4-5 keywords)","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":" July","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140989791","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 : 2024-05-08DOI: 10.59256/ijire.20240503006
Aleena Mariam George, Ashwin George Mathew, Sreehari S, Vaishnavi Manoj, Nimisha Philip
Online buying is steadily taking the place of traditional means of shopping in every aspect. It has become more well-known and established as the new normal as a result of the pandemic. Everything, even food and shoes, is now available on E-cart. Because there are so many options accessible in every sector, consumers prefer to make purchases online. Since most customers can distinguish price differences between websites, they will typically choose the supplier that is giving the best value. To keep ahead of the competition, corporate minds are therefore constantly devising novel ways to optimize the profit from each transaction. They provide enticing discounts in an effort to attract more clients. In the e-commerce industry, dynamic pricing is currently the most used tactic. The purchaser might learn. Keeping track of the price changes, which occur around every 10 minutes, is challenging. They provide the impression that the things are on sale by doing this. This paper presents a basic price tracker application that tracks the price of a product and notifies the user when the price hits a predetermined threshold. It will respond to the user's queries and retrieve pricing information from the browser.
{"title":"E-Commerce Product Price Tracker","authors":"Aleena Mariam George, Ashwin George Mathew, Sreehari S, Vaishnavi Manoj, Nimisha Philip","doi":"10.59256/ijire.20240503006","DOIUrl":"https://doi.org/10.59256/ijire.20240503006","url":null,"abstract":"Online buying is steadily taking the place of traditional means of shopping in every aspect. It has become more well-known and established as the new normal as a result of the pandemic. Everything, even food and shoes, is now available on E-cart. Because there are so many options accessible in every sector, consumers prefer to make purchases online. Since most customers can distinguish price differences between websites, they will typically choose the supplier that is giving the best value. To keep ahead of the competition, corporate minds are therefore constantly devising novel ways to optimize the profit from each transaction. They provide enticing discounts in an effort to attract more clients. In the e-commerce industry, dynamic pricing is currently the most used tactic. The purchaser might learn. Keeping track of the price changes, which occur around every 10 minutes, is challenging. They provide the impression that the things are on sale by doing this. This paper presents a basic price tracker application that tracks the price of a product and notifies the user when the price hits a predetermined threshold. It will respond to the user's queries and retrieve pricing information from the browser.","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141001459","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 : 2024-05-08DOI: 10.59256/ijire.20240503007
Alan C Mathew, Akshay Suresh, Amal Mathew Biju, Sheril Shaji, Betty Mary Jacob
In today's competitive job market, universities play a crucial role in preparing students for successful careers. A well-designed placement cell website serves as a vital bridge between students and potential employers, facilitating seamless communication and fostering employment opportunities. This paper presents the abstract of such a website, aimed at enhancing student employability. The placement cell website offers a user-friendly interface, providing students with easy access to a myriad of resources such as job listings, internship opportunities, and career guidance materials. Employers, on the other hand, can efficiently browse through student profiles and post job openings, creating a dynamic ecosystem for talent acquisition. The website incorporates tools for interview preparation, and skill assessment, empowering students to present themselves effectively in the job market. Furthermore, the website alerts students with relevant job opportunities based on their qualifications and preferences. This personalized recommendation system enhances the efficiency of the job search process, increasing the likelihood of successful placements. To foster collaboration between academia and industry, the website facilitates communication between students, alumni, faculty members, and potential employers through forums, webinars, and networking events. This collaborative environment promotes knowledge sharing, mentorship, and professional development, ultimately enriching the overall student experience.
{"title":"A Comprehensive Web-Based Solution Using Django Framework and SQLite Database","authors":"Alan C Mathew, Akshay Suresh, Amal Mathew Biju, Sheril Shaji, Betty Mary Jacob","doi":"10.59256/ijire.20240503007","DOIUrl":"https://doi.org/10.59256/ijire.20240503007","url":null,"abstract":"In today's competitive job market, universities play a crucial role in preparing students for successful careers. A well-designed placement cell website serves as a vital bridge between students and potential employers, facilitating seamless communication and fostering employment opportunities. This paper presents the abstract of such a website, aimed at enhancing student employability. The placement cell website offers a user-friendly interface, providing students with easy access to a myriad of resources such as job listings, internship opportunities, and career guidance materials. Employers, on the other hand, can efficiently browse through student profiles and post job openings, creating a dynamic ecosystem for talent acquisition. The website incorporates tools for interview preparation, and skill assessment, empowering students to present themselves effectively in the job market. Furthermore, the website alerts students with relevant job opportunities based on their qualifications and preferences. This personalized recommendation system enhances the efficiency of the job search process, increasing the likelihood of successful placements. To foster collaboration between academia and industry, the website facilitates communication between students, alumni, faculty members, and potential employers through forums, webinars, and networking events. This collaborative environment promotes knowledge sharing, mentorship, and professional development, ultimately enriching the overall student experience.","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":" 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141001034","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 : 2024-05-03DOI: 10.59256/ijire.20240503004
Hemalatha M, Abineya K
In the rapidly evolving digital space, staying ahead is pivotal for video platforms. The dynamics of recommendation systems, responsible for curating a tailored experience for millions of users daily, become paramount in this pursuit. This study embarks on a comprehensive journey to dissect, simulate, and optimize the algorithms underpinning these recommendations. The proposed segments delve deeper into the specific objectives of this research endeavor. Analyzing YouTube's existing recommendation algorithms and leveraging a proposed model to create a user-friendly interface for the simulation of these algorithms. Testing and evaluating the efficacy of the enhanced algorithms against a benchmark dataset. The future of digital video platforms is intertwined with the evolution of recommended algorithm By enhancing the way platforms like YouTube recommend videos, this study aspires to contribute significantly to improving user experience and platform efficiency. Keyword: ranking algorithms; video recommendation; Analysis, efficiency
{"title":"Analyzing and Enhancing You tube Ranking Algorithms for Video Recommendations","authors":"Hemalatha M, Abineya K","doi":"10.59256/ijire.20240503004","DOIUrl":"https://doi.org/10.59256/ijire.20240503004","url":null,"abstract":"In the rapidly evolving digital space, staying ahead is pivotal for video platforms. The dynamics of recommendation systems, responsible for curating a tailored experience for millions of users daily, become paramount in this pursuit. This study embarks on a comprehensive journey to dissect, simulate, and optimize the algorithms underpinning these recommendations. The proposed segments delve deeper into the specific objectives of this research endeavor. Analyzing YouTube's existing recommendation algorithms and leveraging a proposed model to create a user-friendly interface for the simulation of these algorithms. Testing and evaluating the efficacy of the enhanced algorithms against a benchmark dataset. The future of digital video platforms is intertwined with the evolution of recommended algorithm By enhancing the way platforms like YouTube recommend videos, this study aspires to contribute significantly to improving user experience and platform efficiency. Keyword: ranking algorithms; video recommendation; Analysis, efficiency","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":"71 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141016442","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 : 2024-05-03DOI: 10.59256/ijire.20240503005
Magesh Sooraj P U, Nallavan G
This study delves into the intriguing investigation of flow patterns over a cricket ball, employing both computational and experimental methods for a comparative analysis. The work explores about variation of velocities in different angles, here we have used as 4 cricket balls they are dukes cricket balls, SG cricket balls, dukes 3d printed cricket ball and SG printed cricket ball. While comparing all the cricket balls it shows values in the wind tunnel experiment in seam angles of 0°,30°,45°,60°& 90° in a subsonic wind tunnel. Both computational simulations and experimental observations were conducted to analyze the impact of seam angles and velocities on the cricket balls. The results obtained from computational models were successfully validated through experimental data, affirming the reliability of the computational approach in predicting aerodynamic characteristics. Flow visualization techniques further confirm these findings, highlighting the significance of keywords such as drag, seam angles, reverse swing, flow visualization, and computational fluid dynamics (CFD) in understanding the aerodynamics of cricket balls. Overall, this research provides valuable insights into optimizing bowling strategies by considering the interaction between seam angles, velocities, and aerodynamic behavior of cricket balls. Keyword: Ball drag analysis, Reverse swing analysis, CFD analysis, Cricket ball analysis.
{"title":"CFD and Wind Tunnel Study on Cricket Ball at Different Seam Angle and Velocity","authors":"Magesh Sooraj P U, Nallavan G","doi":"10.59256/ijire.20240503005","DOIUrl":"https://doi.org/10.59256/ijire.20240503005","url":null,"abstract":"This study delves into the intriguing investigation of flow patterns over a cricket ball, employing both computational and experimental methods for a comparative analysis. The work explores about variation of velocities in different angles, here we have used as 4 cricket balls they are dukes cricket balls, SG cricket balls, dukes 3d printed cricket ball and SG printed cricket ball. While comparing all the cricket balls it shows values in the wind tunnel experiment in seam angles of 0°,30°,45°,60°& 90° in a subsonic wind tunnel. Both computational simulations and experimental observations were conducted to analyze the impact of seam angles and velocities on the cricket balls. The results obtained from computational models were successfully validated through experimental data, affirming the reliability of the computational approach in predicting aerodynamic characteristics. Flow visualization techniques further confirm these findings, highlighting the significance of keywords such as drag, seam angles, reverse swing, flow visualization, and computational fluid dynamics (CFD) in understanding the aerodynamics of cricket balls. Overall, this research provides valuable insights into optimizing bowling strategies by considering the interaction between seam angles, velocities, and aerodynamic behavior of cricket balls. Keyword: Ball drag analysis, Reverse swing analysis, CFD analysis, Cricket ball analysis.","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":"80 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141016157","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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