Pub Date : 2024-03-14DOI: 10.59256/ijire.20240502005
C. Baby Salome Chandra, D.E Maneesh Rajasekar, A. Senthil Nathan, A. Arvind Krishnan, C. Harish, S. Vignesh, S. Murugan
The main problem of the conventional metering system is that person from utility has go to area by area and read the energy meter of every house and handover the bills. According to that reading consumer pays the bill. Then, when the customer failed to pay bills for a long period of time one person from utility has go to area by area and remove the fuse to disconnect the consumer premises from the distribution feeder. This process can be replaced by using prepaid energy meter. Many times errors like extra billing or notification from utility are given frequently even bills are paid regularly. In this paper, Microcontroller based prepaid measuring system to calculate the power consumption and GSM circuit for Short Messaging Service to the user is used. Key Word: GSM, PREPAID ENERGY METER, SMART MONITORING AND CONTROL, THEFT DETECTION, ARDUINO
{"title":"An Innovative Approach To Iot Based Prepaid Energy Meter","authors":"C. Baby Salome Chandra, D.E Maneesh Rajasekar, A. Senthil Nathan, A. Arvind Krishnan, C. Harish, S. Vignesh, S. Murugan","doi":"10.59256/ijire.20240502005","DOIUrl":"https://doi.org/10.59256/ijire.20240502005","url":null,"abstract":"The main problem of the conventional metering system is that person from utility has go to area by area and read the energy meter of every house and handover the bills. According to that reading consumer pays the bill. Then, when the customer failed to pay bills for a long period of time one person from utility has go to area by area and remove the fuse to disconnect the consumer premises from the distribution feeder. This process can be replaced by using prepaid energy meter. Many times errors like extra billing or notification from utility are given frequently even bills are paid regularly. In this paper, Microcontroller based prepaid measuring system to calculate the power consumption and GSM circuit for Short Messaging Service to the user is used. Key Word: GSM, PREPAID ENERGY METER, SMART MONITORING AND CONTROL, THEFT DETECTION, ARDUINO","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140243409","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 : 2024-03-11DOI: 10.59256/ijire.20240502002
Dr. T. S. Sivakumaran, Henok G Medihen Teklu, Sime Gonfa Heyi, SKB. Rathika
The main objective of this work is to improve the performance of Multilevel Inverter by using the novel LS-PD- PWM and controlling technique instead of the existing approach. The proposed work focus on closed loop controller such as existing PI and Fuzzy Logic Controller for resistive load with Multilevel Inverter. The proposed Asymmetric fifteen level Inverter offers less THD and high frequency than the Asymmetric nine level inverter. Asymmetric multilevel inverter is used to reduce the switching losses and THD. In this work is the generation and implementation of Pulse Width Modulation (PWM) techniques using Field Programmable Gate Array (FPGA) for Multilevel Inverter. PWM can be generated via Microprocessors, Microcontroller, FPGA and DSP Processors. Higher density Programmable Logic Devices (PLD) such as FPGAs can be used to amalgamate large amounts of logic into a single Integrated. Pulse width modulation (PWM) is generally used in power converter control. To generate LS-PD- PWM by using FPGA, this occupies less memory capacity and accurate than conventional one. An efficient PWM generation technique is performed using FPGA for lower frequency applications. Simulation and synthesis is done by ModelSim6.3c and Xilinx10.1. Further, the Implementation is carried out by FPGA Spartan3 Xc3s50. Key Word: PWM, FPGA, PLD (Programmable Logic Devices), LS-PD-PWM
{"title":"Simulation and FPGA based Implementation of PI and Fuzzy Controllers for Cascaded Asymmetric Multilevel Inverter","authors":"Dr. T. S. Sivakumaran, Henok G Medihen Teklu, Sime Gonfa Heyi, SKB. Rathika","doi":"10.59256/ijire.20240502002","DOIUrl":"https://doi.org/10.59256/ijire.20240502002","url":null,"abstract":"The main objective of this work is to improve the performance of Multilevel Inverter by using the novel LS-PD- PWM and controlling technique instead of the existing approach. The proposed work focus on closed loop controller such as existing PI and Fuzzy Logic Controller for resistive load with Multilevel Inverter. The proposed Asymmetric fifteen level Inverter offers less THD and high frequency than the Asymmetric nine level inverter. Asymmetric multilevel inverter is used to reduce the switching losses and THD. In this work is the generation and implementation of Pulse Width Modulation (PWM) techniques using Field Programmable Gate Array (FPGA) for Multilevel Inverter. PWM can be generated via Microprocessors, Microcontroller, FPGA and DSP Processors. Higher density Programmable Logic Devices (PLD) such as FPGAs can be used to amalgamate large amounts of logic into a single Integrated. Pulse width modulation (PWM) is generally used in power converter control. To generate LS-PD- PWM by using FPGA, this occupies less memory capacity and accurate than conventional one. An efficient PWM generation technique is performed using FPGA for lower frequency applications. Simulation and synthesis is done by ModelSim6.3c and Xilinx10.1. Further, the Implementation is carried out by FPGA Spartan3 Xc3s50. Key Word: PWM, FPGA, PLD (Programmable Logic Devices), LS-PD-PWM","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140252770","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}
The current electoral system faces various challenges such as vote rigging, hacking of electronic voting machines, and election manipulation, leading to a lack of faith in the system among citizens. The adoption of an electronic voting system based on block chain technology could potentially address these issues. This paper proposes a model of e-voting based on popular block chain frameworks that provide block chain as a service, which maintains participant confidentiality while still being open to public scrutiny. The paper presents a comprehensive analysis of the theme, demonstrating the usefulness of block chain technology in the design of a secure and transparent e-voting system. Distributed ledger technology is a powerful tool in the world of information technology, with the potential to revolutionize various applications. Block chain offers advantages such as cryptological underpinnings and transparency, making it a disruptive technology in modern times. The proposed e-voting system based on block chain technology offers the potential to improve the resilience of e-voting systems, and ensure the integrity of the election results. Overall, this paper provides insights into the potential of block chain technology to tackle the challenges facing the current electoral system and improve the transparency and security of e-voting systems. Key Word: Iblock chain, confidentiality, Distributed ledger, transparency, security, metamask, solidity, Ethereum, Decentralization, testnet, Hardhat, Dapp, Consensus, immutability, blocks.
{"title":"B Vote: Block chain Based Voting System","authors":"Shubham Chutke, Shreyas Parkar, Omkar Swargam, Sumeet Bhimanpally, Shweta Sharma","doi":"10.59256/ijire.20240502001","DOIUrl":"https://doi.org/10.59256/ijire.20240502001","url":null,"abstract":"The current electoral system faces various challenges such as vote rigging, hacking of electronic voting machines, and election manipulation, leading to a lack of faith in the system among citizens. The adoption of an electronic voting system based on block chain technology could potentially address these issues. This paper proposes a model of e-voting based on popular block chain frameworks that provide block chain as a service, which maintains participant confidentiality while still being open to public scrutiny. The paper presents a comprehensive analysis of the theme, demonstrating the usefulness of block chain technology in the design of a secure and transparent e-voting system. Distributed ledger technology is a powerful tool in the world of information technology, with the potential to revolutionize various applications. Block chain offers advantages such as cryptological underpinnings and transparency, making it a disruptive technology in modern times. The proposed e-voting system based on block chain technology offers the potential to improve the resilience of e-voting systems, and ensure the integrity of the election results. Overall, this paper provides insights into the potential of block chain technology to tackle the challenges facing the current electoral system and improve the transparency and security of e-voting systems. Key Word: Iblock chain, confidentiality, Distributed ledger, transparency, security, metamask, solidity, Ethereum, Decentralization, testnet, Hardhat, Dapp, Consensus, immutability, blocks.","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140080785","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 : 2024-02-28DOI: 10.59256/ijire.20240501010
Rahul Kashyap, Awnish Prasad Sharma, Yashi Sahu
Students online exchange (SLX) is a pioneering initiative designed to meet the unique needs of students by fostering a culture of mutual assistance and resource sharing. Addressing financial constraints and daily challenges, SLX provides a specialized platform where students can seamlessly exchange resources with the spirit of helping one another. Unlike traditional sharing models, SLX emphasizes the transformative power of mutual assistance over charity, promoting a community-driven approach. This synopsis offers insights into SLX's distinctive features, objectives, and societal impact, bridging existing gaps in the literature and presenting a novel resource-sharing paradigm. Through SLX, students collaboratively share academic materials and daily necessities, establishing a supportive environment for their educational journey. SLX endeavors’ to reshape the community narrative, making helping an integral part of student life. Key Word: Students online exchange (SLX), Mutual assistance, Resource sharing, Financial-constraints, Community-driven approach, Novel resource-sharing paradigm, Academic materials, Transformative power, Community narrative.
{"title":"S.L.X. : Student’s online exchange","authors":"Rahul Kashyap, Awnish Prasad Sharma, Yashi Sahu","doi":"10.59256/ijire.20240501010","DOIUrl":"https://doi.org/10.59256/ijire.20240501010","url":null,"abstract":"Students online exchange (SLX) is a pioneering initiative designed to meet the unique needs of students by fostering a culture of mutual assistance and resource sharing. Addressing financial constraints and daily challenges, SLX provides a specialized platform where students can seamlessly exchange resources with the spirit of helping one another. Unlike traditional sharing models, SLX emphasizes the transformative power of mutual assistance over charity, promoting a community-driven approach. This synopsis offers insights into SLX's distinctive features, objectives, and societal impact, bridging existing gaps in the literature and presenting a novel resource-sharing paradigm. Through SLX, students collaboratively share academic materials and daily necessities, establishing a supportive environment for their educational journey. SLX endeavors’ to reshape the community narrative, making helping an integral part of student life. Key Word: Students online exchange (SLX), Mutual assistance, Resource sharing, Financial-constraints, Community-driven approach, Novel resource-sharing paradigm, Academic materials, Transformative power, Community narrative.","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140419467","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 : 2024-02-26DOI: 10.59256/ijire.20240501009
Ebin Thomas Abraham, Praveena S, Tijo Thomas, Jerin P George, Dr.T Manoj Kumar
Energy serves as the fundamental element crucial for the survival of all life forms across the vastness of the universe. It acts as the cohesive force directing various processes shaping our environment. However, this delicate equilibrium is endangered by the depletion of traditional energy sources, worsened by the ever-growing global population. This dilemma leads to an imminent energy crisis expected to arise in the next five years due to excessive consumption. To navigate this challenging situation, there's a need for a significant shift in approach, urging the adoption of methods to maximize the use of existing energy sources. In our research, there's a promising opportunity to tap into kinetic energy, particularly from vehicles traversing over speed bumps. The proposal suggests converting these ordinary road features into dynamic generators, seamlessly transforming kinetic energy into electricity for the grid. This process involves sophisticated mechanisms like rack and pinion systems to efficiently convert kinetic energy into mechanical power, eventually generating electricity for storage and later use. This innovative solution not only addresses energy conservation but also promises economic benefits, utilizing stored energy to power street lights during the night, and enhancing urban landscapes with efficient illumination. Key Word: Generator; non-conventional energy source; rack and pinion mechanism; chain sprocket; speed breaker.
{"title":"Electric Power Generation from Road Humps","authors":"Ebin Thomas Abraham, Praveena S, Tijo Thomas, Jerin P George, Dr.T Manoj Kumar","doi":"10.59256/ijire.20240501009","DOIUrl":"https://doi.org/10.59256/ijire.20240501009","url":null,"abstract":"Energy serves as the fundamental element crucial for the survival of all life forms across the vastness of the universe. It acts as the cohesive force directing various processes shaping our environment. However, this delicate equilibrium is endangered by the depletion of traditional energy sources, worsened by the ever-growing global population. This dilemma leads to an imminent energy crisis expected to arise in the next five years due to excessive consumption. To navigate this challenging situation, there's a need for a significant shift in approach, urging the adoption of methods to maximize the use of existing energy sources. In our research, there's a promising opportunity to tap into kinetic energy, particularly from vehicles traversing over speed bumps. The proposal suggests converting these ordinary road features into dynamic generators, seamlessly transforming kinetic energy into electricity for the grid. This process involves sophisticated mechanisms like rack and pinion systems to efficiently convert kinetic energy into mechanical power, eventually generating electricity for storage and later use. This innovative solution not only addresses energy conservation but also promises economic benefits, utilizing stored energy to power street lights during the night, and enhancing urban landscapes with efficient illumination. Key Word: Generator; non-conventional energy source; rack and pinion mechanism; chain sprocket; speed breaker.","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140430134","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}
Understanding interest similarity in Online Social Networks (OSNs) is crucial for various applications. This study addresses the challenge of determining interest similarity on platforms like Facebook, where users may not explicitly disclose their interests. Utilizing a substantial dataset of 479,048 users and 5,263,351 user-generated interests, the research focuses on movies, music, and TV shows. Findings reveal homophily in interest similarity, demonstrating that individuals tend to share more similar tastes when they have comparable demographic information or are connected as friends. A practical prediction model is proposed, facilitating the selection of users with high-interest similarities and enhancing decision-making for OSN applications. Additionally, the paper introduces a novel method using a tag network to connect users with similar interests, outperforming traditional methods by providing a more efficient means of connecting like-minded individuals in social networks. Key Word:Face image synthesis, Generative adversarial network, Face Recognition.
{"title":"Social Media App for Connecting Similar Interests People Using flutter","authors":"Aditya Prakash Sharma, Ritesh Gupta, Tanmay Kushwaha","doi":"10.59256/ijire.20240501008","DOIUrl":"https://doi.org/10.59256/ijire.20240501008","url":null,"abstract":"Understanding interest similarity in Online Social Networks (OSNs) is crucial for various applications. This study addresses the challenge of determining interest similarity on platforms like Facebook, where users may not explicitly disclose their interests. Utilizing a substantial dataset of 479,048 users and 5,263,351 user-generated interests, the research focuses on movies, music, and TV shows. Findings reveal homophily in interest similarity, demonstrating that individuals tend to share more similar tastes when they have comparable demographic information or are connected as friends. A practical prediction model is proposed, facilitating the selection of users with high-interest similarities and enhancing decision-making for OSN applications. Additionally, the paper introduces a novel method using a tag network to connect users with similar interests, outperforming traditional methods by providing a more efficient means of connecting like-minded individuals in social networks. Key Word:Face image synthesis, Generative adversarial network, Face Recognition.","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140450512","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}
With the rise of PDF-Driven Question Answering Software as a Service (SaaS) platforms in recent years, the field of document processing technology has experienced a paradigm shift. Examining these systems difficulties in detail, this review article concentrates on how they include Next.js, React, Prisma, TRPC, and Tailwind CSS into the MERN (MongoDB, Express.js, React, Node.js) stack. With a careful analysis of the architecture, functions, and ramifications, this study seeks to offer a thorough grasp of the technological developments behind this groundbreaking methodology. The research holds significance due to its intersectionality, as it seamlessly integrates document processing, user interaction, and data administration. The foundation of these systems is the use of Prisma for effective database administration, Next.js and React for creating dynamic and responsive user interfaces, TRPC for reliable API connectivity, and Tailwind CSS for contemporary and beautiful styling. A comprehensive strategy like this tackles the difficulties in processing PDF documents for user identification, question-answering, and facilitating seamless communication between front-end and back-end components. The research attempts to significantly advance our understanding of PDF-driven question-answering SaaS systems by doing this thorough review. Giving insights into the opportunities and complexities of technology, it is a useful tool for practitioners, academics, and developers. These results highlight how important MERN stack technologies are for developing reliable, scalable, and user-focused solutions for the changing document-centric application market. Key Word: PDF-Driven; MERN; TRPC; API.
近年来，随着 PDF 驱动的问题解答软件即服务（SaaS）平台的兴起，文档处理技术领域经历了一次范式转变。这篇综述文章详细研究了这些系统的难点，集中探讨了它们如何将 Next.js、React、Prisma、TRPC 和 Tailwind CSS 纳入 MERN（MongoDB、Express.js、React、Node.js）堆栈。本研究通过对架构、功能和影响的仔细分析，力求全面掌握这一开创性方法背后的技术发展。这项研究将文档处理、用户交互和数据管理无缝整合在一起，因此具有重要的交叉性。这些系统的基础是使用 Prisma 进行有效的数据库管理，使用 Next.js 和 React 创建动态响应式用户界面，使用 TRPC 进行可靠的 API 连接，以及使用 Tailwind CSS 进行现代美观的样式设计。这样一个全面的策略解决了处理 PDF 文档以识别用户、回答问题以及促进前端和后端组件之间无缝通信的难题。本研究试图通过这一全面回顾，大大推进我们对 PDF 驱动的问题解答 SaaS 系统的理解。该研究深入揭示了技术的机遇和复杂性，是从业人员、学者和开发人员的有用工具。这些成果凸显了 MERN 协议栈技术对于开发可靠、可扩展、以用户为中心的解决方案是多么重要，而这些解决方案正适用于不断变化的以文档为中心的应用市场。关键字PDF驱动；MERN；TRPC；API。
{"title":"PDF-Chat SaaS Platform Using MERN Stack","authors":"Harsh Srivastava, Shraddha Gupta, Kritika Anand, Ashnika Sharma","doi":"10.59256/ijire.20240501007","DOIUrl":"https://doi.org/10.59256/ijire.20240501007","url":null,"abstract":"With the rise of PDF-Driven Question Answering Software as a Service (SaaS) platforms in recent years, the field of document processing technology has experienced a paradigm shift. Examining these systems difficulties in detail, this review article concentrates on how they include Next.js, React, Prisma, TRPC, and Tailwind CSS into the MERN (MongoDB, Express.js, React, Node.js) stack. With a careful analysis of the architecture, functions, and ramifications, this study seeks to offer a thorough grasp of the technological developments behind this groundbreaking methodology. The research holds significance due to its intersectionality, as it seamlessly integrates document processing, user interaction, and data administration. The foundation of these systems is the use of Prisma for effective database administration, Next.js and React for creating dynamic and responsive user interfaces, TRPC for reliable API connectivity, and Tailwind CSS for contemporary and beautiful styling. A comprehensive strategy like this tackles the difficulties in processing PDF documents for user identification, question-answering, and facilitating seamless communication between front-end and back-end components. The research attempts to significantly advance our understanding of PDF-driven question-answering SaaS systems by doing this thorough review. Giving insights into the opportunities and complexities of technology, it is a useful tool for practitioners, academics, and developers. These results highlight how important MERN stack technologies are for developing reliable, scalable, and user-focused solutions for the changing document-centric application market. Key Word: PDF-Driven; MERN; TRPC; API.","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140450078","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 : 2024-02-05DOI: 10.59256/ijire.20240501006
Vanithamani K, Vishnu Prasanna T S, Srinivaas R, Srinivasan P K, Vimal K S
Biometrics has developed to be one of the most relevant technologies used in Information Technology (IT) security. Uni-modal biometric systems have a variety of problems which decreases the performance and accuracy of these systems. One way to overcome the limitations of the Unimodal biometric systems is through fusion to form a multimodal biometric system. Hence this process is developed based on Multimodal Biometric system based on Face, Finger print, Signature etc. Multimodal biometric system employing Convolutional Neural Networks (CNNs) for effective feature extraction and classification. The system combines facial and signature biometrics, harnessing the unique advantages of each modality to create a more resilient and accurate authentication framework. Multimodal biometric system with CNN integration holds promise for applications in secure access control, financial transactions, and other domains where reliable authentication is crucial. Its adaptability and scalability make it a viable solution for addressing the evolving challenges in biometric security systems. Key Word: Unimodal biometric system , Multimodal Biometric system , Convolutional Neural Networks (CNNs),deep learning.
{"title":"Multimodal Biometric Login System Using Face and Signature","authors":"Vanithamani K, Vishnu Prasanna T S, Srinivaas R, Srinivasan P K, Vimal K S","doi":"10.59256/ijire.20240501006","DOIUrl":"https://doi.org/10.59256/ijire.20240501006","url":null,"abstract":"Biometrics has developed to be one of the most relevant technologies used in Information Technology (IT) security. Uni-modal biometric systems have a variety of problems which decreases the performance and accuracy of these systems. One way to overcome the limitations of the Unimodal biometric systems is through fusion to form a multimodal biometric system. Hence this process is developed based on Multimodal Biometric system based on Face, Finger print, Signature etc. Multimodal biometric system employing Convolutional Neural Networks (CNNs) for effective feature extraction and classification. The system combines facial and signature biometrics, harnessing the unique advantages of each modality to create a more resilient and accurate authentication framework. Multimodal biometric system with CNN integration holds promise for applications in secure access control, financial transactions, and other domains where reliable authentication is crucial. Its adaptability and scalability make it a viable solution for addressing the evolving challenges in biometric security systems. Key Word: Unimodal biometric system , Multimodal Biometric system , Convolutional Neural Networks (CNNs),deep learning.","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139893625","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 : 2024-02-05DOI: 10.59256/ijire.20240501006
Vanithamani K, Vishnu Prasanna T S, Srinivaas R, Srinivasan P K, Vimal K S
Biometrics has developed to be one of the most relevant technologies used in Information Technology (IT) security. Uni-modal biometric systems have a variety of problems which decreases the performance and accuracy of these systems. One way to overcome the limitations of the Unimodal biometric systems is through fusion to form a multimodal biometric system. Hence this process is developed based on Multimodal Biometric system based on Face, Finger print, Signature etc. Multimodal biometric system employing Convolutional Neural Networks (CNNs) for effective feature extraction and classification. The system combines facial and signature biometrics, harnessing the unique advantages of each modality to create a more resilient and accurate authentication framework. Multimodal biometric system with CNN integration holds promise for applications in secure access control, financial transactions, and other domains where reliable authentication is crucial. Its adaptability and scalability make it a viable solution for addressing the evolving challenges in biometric security systems. Key Word: Unimodal biometric system , Multimodal Biometric system , Convolutional Neural Networks (CNNs),deep learning.
{"title":"Multimodal Biometric Login System Using Face and Signature","authors":"Vanithamani K, Vishnu Prasanna T S, Srinivaas R, Srinivasan P K, Vimal K S","doi":"10.59256/ijire.20240501006","DOIUrl":"https://doi.org/10.59256/ijire.20240501006","url":null,"abstract":"Biometrics has developed to be one of the most relevant technologies used in Information Technology (IT) security. Uni-modal biometric systems have a variety of problems which decreases the performance and accuracy of these systems. One way to overcome the limitations of the Unimodal biometric systems is through fusion to form a multimodal biometric system. Hence this process is developed based on Multimodal Biometric system based on Face, Finger print, Signature etc. Multimodal biometric system employing Convolutional Neural Networks (CNNs) for effective feature extraction and classification. The system combines facial and signature biometrics, harnessing the unique advantages of each modality to create a more resilient and accurate authentication framework. Multimodal biometric system with CNN integration holds promise for applications in secure access control, financial transactions, and other domains where reliable authentication is crucial. Its adaptability and scalability make it a viable solution for addressing the evolving challenges in biometric security systems. Key Word: Unimodal biometric system , Multimodal Biometric system , Convolutional Neural Networks (CNNs),deep learning.","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139896396","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 : 2024-01-28DOI: 10.59256/ijire.20240501005
Shubhangi Roshan Katakwar, Sunil Vasant Kuntawar
A support is a gadget intended to assist infants with nodding off, utilizing a delicate side-to-side shaking movement. Be that as it may, it requests impressive actual exertion from guardians to produce this swinging movement physically. Moreover, consistent oversight is expected to screen the child's exercises when they are set inside the support. In the contemporary period of mechanical headway, guardians regularly wrestle with a horde of difficulties in offsetting their expert obligations with the sustaining needs of their kids. Our paper means to resolve the common issues looked by guardians by presenting an inventive IoT-based Savvy Support Observing Framework. The key goal is to ease the nurturing difficulties by making an answer that guides in the consistent observing of babies. The Shrewd Support includes a mechanized swinging component set off by the recognition of a child's crying sound. Moreover, it consolidates an inherent camera to give ceaseless reconnaissance, engaging guardians with an improved capacity to watch out for their kid. To accomplish this usefulness, we have consistently incorporated parts like Arduino, sound sensors, wetness sensors, and the swinging system, among other electronic components, into the customary support plan. This overhauled arrangement offers increased productivity and unwavering quality as well as outperforms the capacities of traditional supports, giving guardians an additional viable method for really focusing on their newborn children. Key Word: IoT Innovation, Brilliant Child Support.
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