Pub Date : 2024-07-10DOI: 10.47392/irjaeh.2024.0268
KP Mredula, Roman Jonita, P. Sajja
Artificial intelligence has been utilized for enhancement of education. The paper describes the gradual influences of Natural language processing, ChatGPT and Intelligent Tutoring Systems in mathematical education in particular. A systematic review and briefing is targeted for budding researchers in the field of AI based education. A comparison of research with a brief summary is provided along with the analysis of the search. Future scope for the clear understanding and easy implementation of mathematics is aimed with development of the intelligent system with customized solutions to the difficulties faced by the learners of mathematics. The impact of Artificial Intelligence (AI) on the applications in education has been evolving since the past 50+ years. The advent of Intelligent Tutoring Systems has emerged as a rich and important natural environment that deploys and improves AI algorithms. The review carried out shows ITS as an ever growing field for education comes with positive impact on education outcomes, effective increase in learning rates, increase in the learning levels of students and many such benefits. It also has its own challenges in creating authoring environments, making collaborative learning possible, world wide web deployment and creation of virtual reality environments to name a few. In this review paper we focus on the impact of applications that have been developed using NLP, ChatGPT and ITS as education technology.
人工智能已被用于提高教育水平。本文介绍了自然语言处理、ChatGPT 和智能辅导系统对数学教育的逐步影响。本文针对人工智能教育领域的新进研究人员进行了系统回顾和简要介绍。在对搜索进行分析的同时，还对研究进行了比较和简要总结。针对数学学习者所面临的困难，开发了具有定制解决方案的智能系统，从而为清晰理解和轻松实施数学提供了未来的发展空间。过去 50 多年来，人工智能（AI）对教育应用的影响一直在发展。智能辅导系统的出现，为部署和改进人工智能算法提供了丰富而重要的自然环境。研究表明，智能辅导系统作为一个不断发展的教育领域，对教育成果、学习率的有效提高、学生学习水平的提高等都有积极的影响。同时，它在创建创作环境、实现协作学习、全球网络部署和创建虚拟现实环境等方面也面临着挑战。在这篇综述论文中，我们将重点关注使用 NLP、ChatGPT 和 ITS 作为教育技术开发的应用程序所产生的影响。
{"title":"AI-Based Tools in Mathematics Education: A Systematic Review of Characteristics, Applications, and Evaluation Methods","authors":"KP Mredula, Roman Jonita, P. Sajja","doi":"10.47392/irjaeh.2024.0268","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0268","url":null,"abstract":"Artificial intelligence has been utilized for enhancement of education. The paper describes the gradual influences of Natural language processing, ChatGPT and Intelligent Tutoring Systems in mathematical education in particular. A systematic review and briefing is targeted for budding researchers in the field of AI based education. A comparison of research with a brief summary is provided along with the analysis of the search. Future scope for the clear understanding and easy implementation of mathematics is aimed with development of the intelligent system with customized solutions to the difficulties faced by the learners of mathematics. The impact of Artificial Intelligence (AI) on the applications in education has been evolving since the past 50+ years. The advent of Intelligent Tutoring Systems has emerged as a rich and important natural environment that deploys and improves AI algorithms. The review carried out shows ITS as an ever growing field for education comes with positive impact on education outcomes, effective increase in learning rates, increase in the learning levels of students and many such benefits. It also has its own challenges in creating authoring environments, making collaborative learning possible, world wide web deployment and creation of virtual reality environments to name a few. In this review paper we focus on the impact of applications that have been developed using NLP, ChatGPT and ITS as education technology.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"16 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141662226","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 : 2024-07-10DOI: 10.47392/irjaeh.2024.0263
Sundari.I, Sivakumar.S, Suguna.S, Kathiravan.A
RST (Regulation, Sensitivity and Tracking) controller is very widely used in electrical engineering application. The controller provides both feed-forward and feedback actions. PID, Internal Model Controller (IMC) designs are mainly very effective in set point tracking but poor in disturbance rejection, however, the disturbance rejection can be obtained at the cost of reduced stability margins. The controller is based on the resolution of a Diophantine equation. A mathematical Model for Bioreactor was developed using MATLAB. Once the discrete model of the process is known and a model transfer function for the closed loop system has been chosen, the cancellation of steady state errors in response to reference signals has been solved for polynomial reference signals of any order by the introduction of an auxiliary Diophantine equation. The results are compared with the PID controller based on pole assignment method.
{"title":"Cancellation of Steady State Error Using Auxiliary Diophantine Equation for a Bio-Reactor Process -A case study","authors":"Sundari.I, Sivakumar.S, Suguna.S, Kathiravan.A","doi":"10.47392/irjaeh.2024.0263","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0263","url":null,"abstract":"RST (Regulation, Sensitivity and Tracking) controller is very widely used in electrical engineering application. The controller provides both feed-forward and feedback actions. PID, Internal Model Controller (IMC) designs are mainly very effective in set point tracking but poor in disturbance rejection, however, the disturbance rejection can be obtained at the cost of reduced stability margins. The controller is based on the resolution of a Diophantine equation. A mathematical Model for Bioreactor was developed using MATLAB. Once the discrete model of the process is known and a model transfer function for the closed loop system has been chosen, the cancellation of steady state errors in response to reference signals has been solved for polynomial reference signals of any order by the introduction of an auxiliary Diophantine equation. The results are compared with the PID controller based on pole assignment method.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"49 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141660301","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 : 2024-07-10DOI: 10.47392/irjaeh.2024.0260
Sowmya B J, Dr Jamuna S
The number of uses for cutting-edge technologies has led to a further growth in a single chip's computational capacity. In this case, several applications want to build on a single chip for computing resources. As a result, connecting the IP cores becomes yet another difficult chore. The many-core System-On-Chips (SoCs) are being replaced by Network-On-Chip (NoC) as an on-chip connectivity option. As a result, the Network on Chip was created as a cutting-edge framework for those networks inside the System on Chip. Modern multiprocessor architectures would benefit more from a NoC architecture as its communication backbone. The most important components of any network structure are its topologies, routing algorithms, and router architectures. NoCs use the routers on each node to route traffic. Circuit complexity, high critical path latency, resource usage, timing, and power efficiency are the primary shortcomings of conventional NoC router architecture. It has been difficult to build a high-performance, low-latency NoC with little area overhead. This paper surveys previous methods and strategies for NoC router topologies and study of general router architecture and its components. Analysis is carried out to understand and work for a low latency, low power consumption, and high performance NoC router design that can be employed with a wide range of FPGA families. In the current work, we are structuring a modified four port router with the goals of low area and high performance operation.
{"title":"Design of Area Efficient Network-On-Chip Router: A Comprehensive Review","authors":"Sowmya B J, Dr Jamuna S","doi":"10.47392/irjaeh.2024.0260","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0260","url":null,"abstract":"The number of uses for cutting-edge technologies has led to a further growth in a single chip's computational capacity. In this case, several applications want to build on a single chip for computing resources. As a result, connecting the IP cores becomes yet another difficult chore. The many-core System-On-Chips (SoCs) are being replaced by Network-On-Chip (NoC) as an on-chip connectivity option. As a result, the Network on Chip was created as a cutting-edge framework for those networks inside the System on Chip. Modern multiprocessor architectures would benefit more from a NoC architecture as its communication backbone. The most important components of any network structure are its topologies, routing algorithms, and router architectures. NoCs use the routers on each node to route traffic. Circuit complexity, high critical path latency, resource usage, timing, and power efficiency are the primary shortcomings of conventional NoC router architecture. It has been difficult to build a high-performance, low-latency NoC with little area overhead. This paper surveys previous methods and strategies for NoC router topologies and study of general router architecture and its components. Analysis is carried out to understand and work for a low latency, low power consumption, and high performance NoC router design that can be employed with a wide range of FPGA families. In the current work, we are structuring a modified four port router with the goals of low area and high performance operation.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"25 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141662309","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 : 2024-07-10DOI: 10.47392/irjaeh.2024.0261
S. P. Valli, Sharmila Sankar, C. Hema, Mohammad Munzir
Bank is an important component of our society which deals with money transaction i.e., lending and deposit of money. Customer churn is termination of business of a customer with the company. Bank customer churn creates an impact on revenue and operational efficiencies of banks, where a customer switches or leaves availing the services of bank. Bank is an important part of our society since it makes money by lending money to others. To understand customer churning behavior it is necessary to retain customers and increase the number of customers. In order to predict the bank customer churning behavior a few algorithms such as XGBoost, CatBoost, AdaBoost, Random Forest, K Near Neighbor, Decision Tree, and Logistic Regression are analyzed. Finally, the best model has been recommended by analyzing the above-mentioned algorithms
{"title":"Enhancement of XG-Boost Using Custom Hyper Parameter Tuning for Bank Churning","authors":"S. P. Valli, Sharmila Sankar, C. Hema, Mohammad Munzir","doi":"10.47392/irjaeh.2024.0261","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0261","url":null,"abstract":"Bank is an important component of our society which deals with money transaction i.e., lending and deposit of money. Customer churn is termination of business of a customer with the company. Bank customer churn creates an impact on revenue and operational efficiencies of banks, where a customer switches or leaves availing the services of bank. Bank is an important part of our society since it makes money by lending money to others. To understand customer churning behavior it is necessary to retain customers and increase the number of customers. In order to predict the bank customer churning behavior a few algorithms such as XGBoost, CatBoost, AdaBoost, Random Forest, K Near Neighbor, Decision Tree, and Logistic Regression are analyzed. Finally, the best model has been recommended by analyzing the above-mentioned algorithms","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"1 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141661596","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}
This project showcases a powerful Face Detection and Recognition system intended to improve law enforcement skills by speeding up the identification of suspects in criminal cases. The system uses scalable databases and real-time computation, however instead of using traditional web sources for face detection. Accuracy and dependability are ensured by using the LBPH algorithm for face recognition and the Haar-cascade classifier for feature detection. The smtplib library allows the system to send a Gmail notification when it finds a matching face. The system that has been built contributes to public safety initiatives by improving law enforcement operations and demonstrating versatility for different face detection circumstances. The outcomes show how successfully the system can detect faces in real-time circumstances. The system achieves great performance by creating dynamic datasets and integrating algorithms. Integrating Gmail improves law enforcement response by facilitating prompt contact of identified suspects. This study highlights the role that surveillance technology plays in public safety and crime prevention, and it provides law enforcement authorities with useful solutions. Furthermore, the uses of this facial recognition and detection technology go beyond police enforcement. It can expedite attendance tracking and improve security in access control systems. Because of its adaptability, it can be used in a variety of industries and is expected to have a significant impact.
该项目展示了一个功能强大的人脸检测和识别系统，旨在通过加快识别刑事案件中的嫌疑人来提高执法技能。该系统使用可扩展的数据库和实时计算，而不是使用传统的网络来源进行人脸检测。通过使用 LBPH 算法进行人脸识别和使用 Haar 级联分类器进行特征检测，确保了准确性和可靠性。smtplib 库允许系统在发现匹配的人脸时发送 Gmail 通知。通过改进执法行动和展示不同人脸检测情况下的多功能性，所构建的系统为公共安全倡议做出了贡献。结果表明，该系统能够在实时环境下成功地检测到人脸。该系统通过创建动态数据集和整合算法实现了出色的性能。整合 Gmail 可提高执法响应速度，便于及时联系已识别的嫌疑人。这项研究强调了监控技术在公共安全和犯罪预防中的作用，并为执法部门提供了有用的解决方案。此外，这种面部识别和检测技术的用途还不止于警察执法。它可以加快考勤跟踪，提高门禁系统的安全性。由于其适应性强，它可用于各行各业，预计将产生重大影响。
{"title":"Face Detection and Recognition for Criminal Identification System","authors":"Prof. Kiran Yesugade, Apurva Pongade, Shruti Karad, Divya Ingale, Shravani Mahabare, Student","doi":"10.47392/irjaeh.2024.0267","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0267","url":null,"abstract":"This project showcases a powerful Face Detection and Recognition system intended to improve law enforcement skills by speeding up the identification of suspects in criminal cases. The system uses scalable databases and real-time computation, however instead of using traditional web sources for face detection. Accuracy and dependability are ensured by using the LBPH algorithm for face recognition and the Haar-cascade classifier for feature detection. The smtplib library allows the system to send a Gmail notification when it finds a matching face. The system that has been built contributes to public safety initiatives by improving law enforcement operations and demonstrating versatility for different face detection circumstances. The outcomes show how successfully the system can detect faces in real-time circumstances. The system achieves great performance by creating dynamic datasets and integrating algorithms. Integrating Gmail improves law enforcement response by facilitating prompt contact of identified suspects. This study highlights the role that surveillance technology plays in public safety and crime prevention, and it provides law enforcement authorities with useful solutions. Furthermore, the uses of this facial recognition and detection technology go beyond police enforcement. It can expedite attendance tracking and improve security in access control systems. Because of its adaptability, it can be used in a variety of industries and is expected to have a significant impact.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"20 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141661717","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}
One of the challenging and effective ways of identifying a person through biometric techniques is Signature verification as compared to the traditional handcrafted system, where a forger has access and also attempts to imitate it which is used in commercial scenarios, like bank check payment, business organizations, educational institutions, government sectors, health care industry etc. so the signature verification process is used for human examination of a single known sample. There are mainly two types of signature verification: static and dynamic. i) Static or offline verification is the process of verifying an electronic or document signature after it has been made, ii) Dynamic or online verification takes place as a person creates his/her signature on a digital tablet or a similar device. Compared, Offline signature verification is not efficient and slow for a large number of documents. Therefore, although vast and extensive research on signature verification there is a need to more focus on and review the online signature verification method to increase efficiency using deep learning. In this project, we achieve 94.58% accuracy using a convolutional neural network.
{"title":"Offline Signature Verification System Using CNN","authors":"Dr.Prof.Sharada, Surwade Prerana, Tarate Priti, Kolaj Shweta4","doi":"10.47392/irjaeh.2024.0259","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0259","url":null,"abstract":"One of the challenging and effective ways of identifying a person through biometric techniques is Signature verification as compared to the traditional handcrafted system, where a forger has access and also attempts to imitate it which is used in commercial scenarios, like bank check payment, business organizations, educational institutions, government sectors, health care industry etc. so the signature verification process is used for human examination of a single known sample. There are mainly two types of signature verification: static and dynamic. i) Static or offline verification is the process of verifying an electronic or document signature after it has been made, ii) Dynamic or online verification takes place as a person creates his/her signature on a digital tablet or a similar device. Compared, Offline signature verification is not efficient and slow for a large number of documents. Therefore, although vast and extensive research on signature verification there is a need to more focus on and review the online signature verification method to increase efficiency using deep learning. In this project, we achieve 94.58% accuracy using a convolutional neural network.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"72 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141662819","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 : 2024-06-15DOI: 10.47392/irjaeh.2024.0231
Rakesha K J, C. V. S. Nagendra, N. Jayaramappa
Concrete is a material that is extensively used in the building industry, whereas some flaws that cause it to lose performance and durability with time, including high permeability, microcracking, and uneven strength. Hence, to reduce these flaws, nanotechnology, specifically the incorporation of nanosilica (SiO2), addresses effectively. Nanosilica enhances concrete by promoting additional calcium silicate hydrate formation, refining the microstructure, and reducing permeability. These improvements make nanosilica beneficial for concrete properties and repair mortars. Hence The impact of nanosilica on different concrete qualities achieved by substituting different percentages of cement (0.5%, 1.0%, 1.5%, and 2.0%) for M25-grade concrete mix is demonstrated in this research work. To ascertain the mechanical Properties, such as compressive strength, split tensile strength, and flexural strength, specimens were cast using nano-Silica concrete. Split tensile and flexural strength are assessed at the age of 28 days, whilst compressive strength is assessed at 7, 14, 28, and 56 days. Results indicate that using nanosilica powder in concrete was able to increase the mechanical characteristics and reduce the density compared to a conventional mix of concrete. When 1.5% nanosilica is substituted for cement, the resulting material exhibits superior mechanical and durability qualities.
{"title":"Influence of Nano Silica On Properties of Cement Concrete","authors":"Rakesha K J, C. V. S. Nagendra, N. Jayaramappa","doi":"10.47392/irjaeh.2024.0231","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0231","url":null,"abstract":"Concrete is a material that is extensively used in the building industry, whereas some flaws that cause it to lose performance and durability with time, including high permeability, microcracking, and uneven strength. Hence, to reduce these flaws, nanotechnology, specifically the incorporation of nanosilica (SiO2), addresses effectively. Nanosilica enhances concrete by promoting additional calcium silicate hydrate formation, refining the microstructure, and reducing permeability. These improvements make nanosilica beneficial for concrete properties and repair mortars. Hence The impact of nanosilica on different concrete qualities achieved by substituting different percentages of cement (0.5%, 1.0%, 1.5%, and 2.0%) for M25-grade concrete mix is demonstrated in this research work. To ascertain the mechanical Properties, such as compressive strength, split tensile strength, and flexural strength, specimens were cast using nano-Silica concrete. Split tensile and flexural strength are assessed at the age of 28 days, whilst compressive strength is assessed at 7, 14, 28, and 56 days. Results indicate that using nanosilica powder in concrete was able to increase the mechanical characteristics and reduce the density compared to a conventional mix of concrete. When 1.5% nanosilica is substituted for cement, the resulting material exhibits superior mechanical and durability qualities.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"8 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141336805","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 the dynamic landscape of robotics and artificial intelligence, this research pioneers a groundbreaking fusion of simulation technology and advanced machine learning, specifically reinforcement learning, to enhance robotic arm capabilities. The focus centers on the utilization of a cutting-edge simulator, powered by the PyBullet physics engine, to faithfully replicate the intricate dynamics of a robotic arm within a digital environment. Serving as an experimental ground, the simulator enables the robotic arm to navigate, manipulate objects, and dynamically engage with its surroundings. Through a symbiotic relationship between simulation technology and reinforcement learning, this research focuses on an adaptive learning approach. This approach accelerates the robotic arm's skill acquisition, refining critical aspects such as precision, speed, and adaptability. The project contributes to the evolution of robotic arm capabilities, paving the way for more autonomous, versatile, and adept robotic systems in the realm of artificial intelligence and robotics.
{"title":"Interactive Robotic Arm Simulation","authors":"Dipali Ghatge, Pratham Patil, Atharva Algude, Shubhangi Chikane, Atharv Dhotre, Karmaveer Bhaurao","doi":"10.47392/irjaeh.2024.0229","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0229","url":null,"abstract":"In the dynamic landscape of robotics and artificial intelligence, this research pioneers a groundbreaking fusion of simulation technology and advanced machine learning, specifically reinforcement learning, to enhance robotic arm capabilities. The focus centers on the utilization of a cutting-edge simulator, powered by the PyBullet physics engine, to faithfully replicate the intricate dynamics of a robotic arm within a digital environment. Serving as an experimental ground, the simulator enables the robotic arm to navigate, manipulate objects, and dynamically engage with its surroundings. Through a symbiotic relationship between simulation technology and reinforcement learning, this research focuses on an adaptive learning approach. This approach accelerates the robotic arm's skill acquisition, refining critical aspects such as precision, speed, and adaptability. The project contributes to the evolution of robotic arm capabilities, paving the way for more autonomous, versatile, and adept robotic systems in the realm of artificial intelligence and robotics.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"11 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141335898","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 : 2024-06-15DOI: 10.47392/irjaeh.2024.0228
Vivek Kumar, Kakali Sarkar, Saurabh Kumar, Rahul Srivastava, Rajan Kumar
This paper explores a review on the synthesis, characterization, and wide range of uses of doped spinel ferrite nanoparticles, highlighting their important role in biosensors, industrial electronics, water treatment, transducers, transformers, cancer treatment, and magnetic resonance imaging. Substitution in the lattice sites of spinel ferrites with metals improves their electrical and magnetic characteristics, which makes them useful for a variety of applications, including microwave absorbers, magnetic fields, and biomedical devices. Spinel ferrites' physical characteristics can be altered to produce better performance by substitution of metallic atoms. Oxygen vacancies, crystal defects, and unsaturated metal cations exist on the surface of spinel ferrite magnetic nanomaterials. For this reason, hydroelectric cells that dissociate water molecules at room temperature have been fabricated using these materials. The dissociation of water molecules generates electricity in hydroelectric cells, which is revolutionary research of 21st century. The objective of this review is to assist researchers in maximizing the effectiveness of these adaptive materials by offering information on the selection of suitable magnetic ferrites according to anticipated applications.
{"title":"A Review on Developments in Spinel Ferrite Nanomaterials: Synthesis, Characterization, and Diverse Applications","authors":"Vivek Kumar, Kakali Sarkar, Saurabh Kumar, Rahul Srivastava, Rajan Kumar","doi":"10.47392/irjaeh.2024.0228","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0228","url":null,"abstract":"This paper explores a review on the synthesis, characterization, and wide range of uses of doped spinel ferrite nanoparticles, highlighting their important role in biosensors, industrial electronics, water treatment, transducers, transformers, cancer treatment, and magnetic resonance imaging. Substitution in the lattice sites of spinel ferrites with metals improves their electrical and magnetic characteristics, which makes them useful for a variety of applications, including microwave absorbers, magnetic fields, and biomedical devices. Spinel ferrites' physical characteristics can be altered to produce better performance by substitution of metallic atoms. Oxygen vacancies, crystal defects, and unsaturated metal cations exist on the surface of spinel ferrite magnetic nanomaterials. For this reason, hydroelectric cells that dissociate water molecules at room temperature have been fabricated using these materials. The dissociation of water molecules generates electricity in hydroelectric cells, which is revolutionary research of 21st century. The objective of this review is to assist researchers in maximizing the effectiveness of these adaptive materials by offering information on the selection of suitable magnetic ferrites according to anticipated applications.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"3 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141337313","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 : 2024-06-15DOI: 10.47392/irjaeh.2024.0230
Shagufta Khalif, Kishor Mane, D.Y.Patil
Over the last few years, the impact of reviews on ecommerce industries and the folk who rely on the online reviews have increased. Most of the online shoppers depends on the reviews to make their purchasing decisions. Moreover, genuine reviews can assist the businesses acquire higher sales. Implementing effective systems can ensure the reliability of reviews and create trustworthiness on online platforms. Deceptive reviews can deteriorate the integrity of online feedback system. Numerous studies have explored this domain employing Machine Learning, Deep Learning, NLP methodologies etc., in the last decade. In this paper, through the survey we address the challenges which the current systems encounter where they lack adequate capabilities in detection and removal of false reviews. Diverse methods are applied on datasets like Amazon, Yelp etc., to obtain organized information and to improve the performance of the employed systems in classifying reviews as fake or genuine. Furthermore, this paper provides details of each method, their accuracies and also the future directions in this area. There is a pressing need of systems that can effectively address the issue of fake reviews as the existence of these can mislead customers leading to the decline in their preference for ecommerce.
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