Pub Date : 2024-03-30DOI: 10.35940/ijies.c1090.11030324
Roberto Paolo Luigi Caporali
We define a method for monitoring and controlling the Safety Distance between motor vehicles. Failure to respect the safety distance between cars on roads and especially on motorways (where speeds have high values) is among the main causes of accidents. This fact generates serious inconveniences such as roadblocks, with enormous delays for car drivers reaching their destinations, as well as possible deaths and injuries. At the current state of the art, in this regard, steps have only been taken to define auxiliary systems on vehicles that signal when this distance has been reached, advising the driver to reduce speed to restore the minimum safety distance. But such systems are, in practice, negatively considered by motorists and do not lead to positive results. The Method and System defined in this work instead involve the use of a Remote System for controlling the Safety Distance, of the same type as those applied for speed control on roads and motorways. These systems are hated by car drivers, precisely because of their effectiveness and deterrence. In this work, first of all, the state of the art regarding Safety Distance control systems, which up to now have only been present on cars, is analyzed. The different methods of calculating the Safety Distance between vehicles are subsequently described. The method defined in this work is then presented, based on the remote detection of the Safety Distance on roads, especially at high speed, describing it with some figures. Here, we highlight the innovation of the system presented in this work, where, for the first time, a System for Remote controlling the Safety Distance is considered.
{"title":"Remote Safety Distance Control for Motor Vehicles","authors":"Roberto Paolo Luigi Caporali","doi":"10.35940/ijies.c1090.11030324","DOIUrl":"https://doi.org/10.35940/ijies.c1090.11030324","url":null,"abstract":"We define a method for monitoring and controlling the Safety Distance between motor vehicles. Failure to respect the safety distance between cars on roads and especially on motorways (where speeds have high values) is among the main causes of accidents. This fact generates serious inconveniences such as roadblocks, with enormous delays for car drivers reaching their destinations, as well as possible deaths and injuries. At the current state of the art, in this regard, steps have only been taken to define auxiliary systems on vehicles that signal when this distance has been reached, advising the driver to reduce speed to restore the minimum safety distance. But such systems are, in practice, negatively considered by motorists and do not lead to positive results. The Method and System defined in this work instead involve the use of a Remote System for controlling the Safety Distance, of the same type as those applied for speed control on roads and motorways. These systems are hated by car drivers, precisely because of their effectiveness and deterrence. In this work, first of all, the state of the art regarding Safety Distance control systems, which up to now have only been present on cars, is analyzed. The different methods of calculating the Safety Distance between vehicles are subsequently described. The method defined in this work is then presented, based on the remote detection of the Safety Distance on roads, especially at high speed, describing it with some figures. Here, we highlight the innovation of the system presented in this work, where, for the first time, a System for Remote controlling the Safety Distance is considered.","PeriodicalId":281681,"journal":{"name":"International Journal of Inventive Engineering and Sciences","volume":"52 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140363430","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: 10.35940/ijies.b1089.11020224
S. Anita, Dr. S. Prema
Forensic video analysis has been used in diverse kind of high-profile cases, global discrepancies, and conflict zones. It is a three-phase process of scientific examination, comparison, and evaluation of video in legal matters. Human face reconstruction using deep learning for occluded video face recovery to aid in forensic analysis is the main objective of this paper. Forensic facial reconstruction is a combination of both scientific methods and artistic skill. In this paper, we introduce a method to reconstruct human faces occluded due to short noise innight-time video clips. A skull database is created with unique skull models with varying shapes, forms and proportions. Human body mathematical model biometric using golden ratio algorithm is proposed and used to find the occluded face proportions. Closure principle of gestalt theory of visual perception is used to fill in the missing parts of a face design and to create a whole face image using gan. The proposed model is found to have 50% lesser reduced Median error rate and 20% reduced Stdev than PrNet and 10% lower Mean error rate than 3Dddfav2.
{"title":"Human Face Reconstruction using Divine Proportions and Gestalt for Occluded Video Face Recovery in Forensic Analysis using Deep Learning","authors":"S. Anita, Dr. S. Prema","doi":"10.35940/ijies.b1089.11020224","DOIUrl":"https://doi.org/10.35940/ijies.b1089.11020224","url":null,"abstract":"Forensic video analysis has been used in diverse kind of high-profile cases, global discrepancies, and conflict zones. It is a three-phase process of scientific examination, comparison, and evaluation of video in legal matters. Human face reconstruction using deep learning for occluded video face recovery to aid in forensic analysis is the main objective of this paper. Forensic facial reconstruction is a combination of both scientific methods and artistic skill. In this paper, we introduce a method to reconstruct human faces occluded due to short noise innight-time video clips. A skull database is created with unique skull models with varying shapes, forms and proportions. Human body mathematical model biometric using golden ratio algorithm is proposed and used to find the occluded face proportions. Closure principle of gestalt theory of visual perception is used to fill in the missing parts of a face design and to create a whole face image using gan. The proposed model is found to have 50% lesser reduced Median error rate and 20% reduced Stdev than PrNet and 10% lower Mean error rate than 3Dddfav2.","PeriodicalId":281681,"journal":{"name":"International Journal of Inventive Engineering and Sciences","volume":"50 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140422094","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 : 2024-01-30DOI: 10.35940/ijies.a1088.11010124
Roberto Paolo Luigi Caporali
In this paper, we developed a solution for controlling a tower crane thought as a no-rigid system, and therefore able to have deformation and, during the motion, vibrations. Particularly, large tower cranes show high structural dynamics. Under external excitations, the payload tends to sway around its vertical position and this motion is coupled to the resulting dynamic vibration of the crane structure. These induced vibrations may cause instability and serious damage to the crane system. Furthermore, the energy stored in the flexible structure of a tower crane causes vibrations in the structure during the acceleration and deceleration of slewing movements. A crane operator perceives these vibrations as an unstable speed of the boom. Such behavior involves the control of the crane, particularly precise positioning and manual control of the crane movement at low pivoting speed. We define an Elastic model of the Slewing crane and analyze the bending and Torsional elasticity of the Tower, and the Jib Elasticity. With an approximated method, we calculate the natural wavelengths of the crane structure in the slewing direction. We consider the tower crane as a nonlinear under-actuated system. The motion equations are obtained considering both the normal vibration modes of the tower crane and the sway of the payload. An elastic model of the Slewing crane is achieved, modeling the crane jib as an Euler-Bernoulli beam. Even the payload dynamic is considered, developing an Anti-sway solution by the equation of the movement. We define an iterative calculation of the sway angles and obtain the corresponding velocity profiles, implementing two kinds of solution: an input-shaping control in open-loop, to be used with automatic positioning, and a “command smoothing” method in open-loop, used for reducing the sway of the payload with the operator control. These solutions lead to a reduction of the vibrations of the crane structure. As a consequence, the tower crane is not subject to the strong horizontal and vertical oscillations during the motion of the elastic structure.
{"title":"Vibration Analysis and Motion Control Method for an Under-Actuated Tower Crane","authors":"Roberto Paolo Luigi Caporali","doi":"10.35940/ijies.a1088.11010124","DOIUrl":"https://doi.org/10.35940/ijies.a1088.11010124","url":null,"abstract":"In this paper, we developed a solution for controlling a tower crane thought as a no-rigid system, and therefore able to have deformation and, during the motion, vibrations. Particularly, large tower cranes show high structural dynamics. Under external excitations, the payload tends to sway around its vertical position and this motion is coupled to the resulting dynamic vibration of the crane structure. These induced vibrations may cause instability and serious damage to the crane system. Furthermore, the energy stored in the flexible structure of a tower crane causes vibrations in the structure during the acceleration and deceleration of slewing movements. A crane operator perceives these vibrations as an unstable speed of the boom. Such behavior involves the control of the crane, particularly precise positioning and manual control of the crane movement at low pivoting speed. We define an Elastic model of the Slewing crane and analyze the bending and Torsional elasticity of the Tower, and the Jib Elasticity. With an approximated method, we calculate the natural wavelengths of the crane structure in the slewing direction. We consider the tower crane as a nonlinear under-actuated system. The motion equations are obtained considering both the normal vibration modes of the tower crane and the sway of the payload. An elastic model of the Slewing crane is achieved, modeling the crane jib as an Euler-Bernoulli beam. Even the payload dynamic is considered, developing an Anti-sway solution by the equation of the movement. We define an iterative calculation of the sway angles and obtain the corresponding velocity profiles, implementing two kinds of solution: an input-shaping control in open-loop, to be used with automatic positioning, and a “command smoothing” method in open-loop, used for reducing the sway of the payload with the operator control. These solutions lead to a reduction of the vibrations of the crane structure. As a consequence, the tower crane is not subject to the strong horizontal and vertical oscillations during the motion of the elastic structure.","PeriodicalId":281681,"journal":{"name":"International Journal of Inventive Engineering and Sciences","volume":"4 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139591369","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 project titled "Integrated Dashboard for Training and Placement" is a student campus information system. That is a management system that is supported by a database. TPO has a prominent role in every college including most of them so far the work is done by hand. The goal is to automate the training and placement process in colleges This application reduces manual work and increases optimization, abstraction and security. This web application will help the students as well as the admin officers to carry out every activity in Campus Rentals. This application can be used to manage the student for training and placement cell of the college Placement related information. Students will be able to see the eligibility criteria based on their percentage upcoming placement drives and they can access technical and company specific questions. Is in it Facility to maintain student details and reduce manual work. Training and Placement Officer (TPO) is able to view information about the student and collect their resume and many add-on functionalities. This system can be accessed through a proper login.
{"title":"Integrated Dashboard for Training and Placement","authors":"Vaibhav Daulatrao Nikam, Rohit Ravindra Mandole, Suraj Uttam Sonawane, Tejas Ramkrishna Pathade, Prof.B. A. Khivsara","doi":"10.35940/ijies.f9554.11010124","DOIUrl":"https://doi.org/10.35940/ijies.f9554.11010124","url":null,"abstract":"The project titled \"Integrated Dashboard for Training and Placement\" is a student campus information system. That is a management system that is supported by a database. TPO has a prominent role in every college including most of them so far the work is done by hand. The goal is to automate the training and placement process in colleges This application reduces manual work and increases optimization, abstraction and security. This web application will help the students as well as the admin officers to carry out every activity in Campus Rentals. This application can be used to manage the student for training and placement cell of the college Placement related information. Students will be able to see the eligibility criteria based on their percentage upcoming placement drives and they can access technical and company specific questions. Is in it Facility to maintain student details and reduce manual work. Training and Placement Officer (TPO) is able to view information about the student and collect their resume and many add-on functionalities. This system can be accessed through a proper login.","PeriodicalId":281681,"journal":{"name":"International Journal of Inventive Engineering and Sciences","volume":"7 48","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139591770","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 cowpea is a annual herbaceous legume. The root nodules have capacity fo fix the atmosphere N2 that is beneficial for farming.This fixed N2 benefit other crops (intercropping) in various ways. The Zno NPs (Zinx Oxice Nanoparticles) has wide applications in agriculture as a fertilizer to increase the product yield and to limit the onset of fungal and bacterial diseases. The invitro germination of seed followed by the seedling growth needs the intervention of ZnO Np in cowpea beans. This research was developed to study the effect of various doses of ZnO Nps (Zinc Oxide Nanoparticles).
{"title":"Determination of Effect of Zno Nanoparticles of Invitro Cultrue of Cowpea Beans","authors":"Ala Devi Manogna, Yeneti Yeswanth Kumar, Mahipani Aravind, Jaya Sahitya Kosuri","doi":"10.35940/ijies.k9732.11010124","DOIUrl":"https://doi.org/10.35940/ijies.k9732.11010124","url":null,"abstract":"The cowpea is a annual herbaceous legume. The root nodules have capacity fo fix the atmosphere N2 that is beneficial for farming.This fixed N2 benefit other crops (intercropping) in various ways. The Zno NPs (Zinx Oxice Nanoparticles) has wide applications in agriculture as a fertilizer to increase the product yield and to limit the onset of fungal and bacterial diseases. The invitro germination of seed followed by the seedling growth needs the intervention of ZnO Np in cowpea beans. This research was developed to study the effect of various doses of ZnO Nps (Zinc Oxide Nanoparticles).","PeriodicalId":281681,"journal":{"name":"International Journal of Inventive Engineering and Sciences","volume":"1 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139591544","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 : 2023-12-30DOI: 10.35940/ijies.d7933.12101223
M. M. Shanmugapriya, Dr. D. Venkatramaraju
The purpose of this study was to assess the effectiveness of electronic H RM practices (E-H RM) in IT and IT ES companies from a multifaceted perspective Global worker are increasingly looking for things like excellent working conditions, sufficient opportunity for training and growth, and effective PERFMGMT systems. The long-term objectives of the company and employee expectations are balanced by human resource management... This study's importance lies in the IT/IT ES sector's necessity to implement E-H RM practices, specifically focusing on aspects such as payroll processing, employee self-service, recruitment, PERFMGMT, rewards, and L&D, as these significantly influence organizational performance. E-H RM practices have become preferable to manual HR processes due to their time efficiency, reduced storage and manpower demands, and improved process consistency. The IT sector has reaped numerous benefits from various applications, including HR practices, driving the adoption of E-H RM practices. These practices are simpler, cost-effective, and require fewer resources and time, offering advantages like accuracy, consistency, and centralized information storage. Both employers and employees have found E-H RM practices beneficial, and the quick accessibility of data and documents from remote locations further facilitates swift decision-making in business operations.
本研究旨在从多角度评估 IT 和 IT ES 公司的电子 H RM 实践（E-H RM）的有效性 全球工人越来越多地追求优越的工作条件、充分的培训和成长机会以及有效的 PERFMGMT 系统。公司的长期目标和员工的期望通过人力资源管理得到了平衡......本研究的重要性在于，IT/IT ES 行业有必要实施 E-H RM 实践，特别是侧重于薪资处理、员工自助服务、招聘、PERFMGMT、奖励和 L&D 等方面，因为这些方面会对组织绩效产生重大影响。与人工人力资源流程相比，电子-人力资源实践具有时间效率高、减少存储和人力需求、提高流程一致性等优势。信息技术部门从包括人力资源实践在内的各种应用中获益良多，推动了电子-人力资源实践的采用。这些做法更简单、更具成本效益、所需资源和时间更少，具有准确性、一致性和信息集中存储等优势。雇主和雇员都认为电子-人力资源管理制度有益，从远程地点快速获取数据和文件进一步促进了业务运营中的快速决策。
{"title":"Factors Influencing E HRM Practices and Organisational Performance in it and it Es Industries","authors":"M. M. Shanmugapriya, Dr. D. Venkatramaraju","doi":"10.35940/ijies.d7933.12101223","DOIUrl":"https://doi.org/10.35940/ijies.d7933.12101223","url":null,"abstract":"The purpose of this study was to assess the effectiveness of electronic H RM practices (E-H RM) in IT and IT ES companies from a multifaceted perspective Global worker are increasingly looking for things like excellent working conditions, sufficient opportunity for training and growth, and effective PERFMGMT systems. The long-term objectives of the company and employee expectations are balanced by human resource management... This study's importance lies in the IT/IT ES sector's necessity to implement E-H RM practices, specifically focusing on aspects such as payroll processing, employee self-service, recruitment, PERFMGMT, rewards, and L&D, as these significantly influence organizational performance. E-H RM practices have become preferable to manual HR processes due to their time efficiency, reduced storage and manpower demands, and improved process consistency. The IT sector has reaped numerous benefits from various applications, including HR practices, driving the adoption of E-H RM practices. These practices are simpler, cost-effective, and require fewer resources and time, offering advantages like accuracy, consistency, and centralized information storage. Both employers and employees have found E-H RM practices beneficial, and the quick accessibility of data and documents from remote locations further facilitates swift decision-making in business operations.","PeriodicalId":281681,"journal":{"name":"International Journal of Inventive Engineering and Sciences","volume":" 81","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139137610","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 : 2023-11-30DOI: 10.35940/ijies.b4321.11101123
Shatendra Kumar Dubey, Dr. Sitesh Sinha, Dr. Anurag Jain
Heart disease is a leading cause of mortality worldwide, and early detection and accurate prediction of heart disease can significantly improve patient outcomes. Machine learning techniques have shown great promise in assisting healthcare professionals in diagnosing and predicting heart disease. The diagnosis and prognosis of heart disease must be improved, refined, and accurate, because a small mistake can cause weakness or death. According to a recent World Health Organization study, 17.5 million people die each year. By 2030, this number will increase to 75 million.[2] This document explains how to enable online KSRM capabilities. The KSRM smart system allows users to report heart-related problems. This research paper aims to explore the use of machine learning algorithms for effective heart disease prediction classification with Ada boost for improve the accuracy of algorithm.
{"title":"Heart Disease Prediction Classification using Machine Learning","authors":"Shatendra Kumar Dubey, Dr. Sitesh Sinha, Dr. Anurag Jain","doi":"10.35940/ijies.b4321.11101123","DOIUrl":"https://doi.org/10.35940/ijies.b4321.11101123","url":null,"abstract":"Heart disease is a leading cause of mortality worldwide, and early detection and accurate prediction of heart disease can significantly improve patient outcomes. Machine learning techniques have shown great promise in assisting healthcare professionals in diagnosing and predicting heart disease. The diagnosis and prognosis of heart disease must be improved, refined, and accurate, because a small mistake can cause weakness or death. According to a recent World Health Organization study, 17.5 million people die each year. By 2030, this number will increase to 75 million.[2] This document explains how to enable online KSRM capabilities. The KSRM smart system allows users to report heart-related problems. This research paper aims to explore the use of machine learning algorithms for effective heart disease prediction classification with Ada boost for improve the accuracy of algorithm.","PeriodicalId":281681,"journal":{"name":"International Journal of Inventive Engineering and Sciences","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139208005","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 : 2023-08-30DOI: 10.35940/ijies.f4263.0810823
Parikshit Sharma
Optical Character Recognition (OCR) has significantly evolved with the rise of deep learning techniques. In this research paper, we present a novel and advanced OCR algorithm that leverages the power of deep learning for improved text recognition accuracy. Traditional OCR methods have faced limitations in handling complex layouts, noisy images, and diverse fonts, affecting overall performance. Our proposed algorithm addresses these challenges through the integration of deep neural networks, specifically convolutional and recurrent layers. The algorithm undergoes comprehensive training on large-scale datasets, enabling it to learn intricate patterns and features, resulting in robust recognition capabilities. Furthermore, we introduce an attention mechanism that enhances the model's ability to focus on critical text regions, enhancing accuracy and efficiency. Through extensive experiments and evaluations on benchmark datasets, we demonstrate the superiority of our deep learning-based OCR algorithm over conventional approaches. Our algorithm achieves state-of-the-art performance on various OCR tasks, including multilingual text recognition and document digitization. Additionally, we conduct an in-depth analysis of the algorithm's behaviour under various scenarios, such as low-resolution inputs and challenging environmental conditions. The findings from this research not only contribute to the field of OCR but also open avenues for applications in document analysis, text extraction, and content digitization in real-world scenarios. The integration of deep learning in OCR showcases its potential in revolutionising text recognition tasks, pushing the boundaries of accuracy and efficiency in this domain.
{"title":"Advancements in OCR: A Deep Learning Algorithm for Enhanced Text Recognition","authors":"Parikshit Sharma","doi":"10.35940/ijies.f4263.0810823","DOIUrl":"https://doi.org/10.35940/ijies.f4263.0810823","url":null,"abstract":"Optical Character Recognition (OCR) has significantly evolved with the rise of deep learning techniques. In this research paper, we present a novel and advanced OCR algorithm that leverages the power of deep learning for improved text recognition accuracy. Traditional OCR methods have faced limitations in handling complex layouts, noisy images, and diverse fonts, affecting overall performance. Our proposed algorithm addresses these challenges through the integration of deep neural networks, specifically convolutional and recurrent layers. The algorithm undergoes comprehensive training on large-scale datasets, enabling it to learn intricate patterns and features, resulting in robust recognition capabilities. Furthermore, we introduce an attention mechanism that enhances the model's ability to focus on critical text regions, enhancing accuracy and efficiency. Through extensive experiments and evaluations on benchmark datasets, we demonstrate the superiority of our deep learning-based OCR algorithm over conventional approaches. Our algorithm achieves state-of-the-art performance on various OCR tasks, including multilingual text recognition and document digitization. Additionally, we conduct an in-depth analysis of the algorithm's behaviour under various scenarios, such as low-resolution inputs and challenging environmental conditions. The findings from this research not only contribute to the field of OCR but also open avenues for applications in document analysis, text extraction, and content digitization in real-world scenarios. The integration of deep learning in OCR showcases its potential in revolutionising text recognition tasks, pushing the boundaries of accuracy and efficiency in this domain.","PeriodicalId":281681,"journal":{"name":"International Journal of Inventive Engineering and Sciences","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115779091","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 : 2023-07-30DOI: 10.35940/ijies.f4212.0710723
Prince Abraham Benjamin, N. Anitha
Convective heat transfer and pressure drop characteristics have been investigated numerically in a tube fitted with a twisted tape and a modified twisted tape. A novel geometry of the tape with lateral projection and without lateral projection is introduced for comparison. The results obtained from ordinary twisted tape are compared with those of the Modified twisted tape with lateral projection and modified twisted tape without lateral projection. The experiments reveal that the pressure drop is lower in the modified twisted tape without lateral projection than in the modified twisted tape with lateral projection. However, the Nusselt number in the modified twisted tape without lateral projection is slightly lesser than in the base case with ordinary twisted tape. The Nusselt number in the modified twisted tape with lateral projection is higher than the ordinary twisted tape because the lateral projection diverts the fluid towards the boundaries, and the thermal performance factor is increased. Thus, the Modified twisted tape without lateral projection increases the thermal performance factor to 1.0065 by decreasing the pressure drop, and the modified twisted tape with lateral projection increases the thermal performance factor to 1.1584 by increasing the Nusselt number.
{"title":"Convective Heat Transfer Enhancement using Novel Twisted Tape-A Numerical Investigation","authors":"Prince Abraham Benjamin, N. Anitha","doi":"10.35940/ijies.f4212.0710723","DOIUrl":"https://doi.org/10.35940/ijies.f4212.0710723","url":null,"abstract":"Convective heat transfer and pressure drop characteristics have been investigated numerically in a tube fitted with a twisted tape and a modified twisted tape. A novel geometry of the tape with lateral projection and without lateral projection is introduced for comparison. The results obtained from ordinary twisted tape are compared with those of the Modified twisted tape with lateral projection and modified twisted tape without lateral projection. The experiments reveal that the pressure drop is lower in the modified twisted tape without lateral projection than in the modified twisted tape with lateral projection. However, the Nusselt number in the modified twisted tape without lateral projection is slightly lesser than in the base case with ordinary twisted tape. The Nusselt number in the modified twisted tape with lateral projection is higher than the ordinary twisted tape because the lateral projection diverts the fluid towards the boundaries, and the thermal performance factor is increased. Thus, the Modified twisted tape without lateral projection increases the thermal performance factor to 1.0065 by decreasing the pressure drop, and the modified twisted tape with lateral projection increases the thermal performance factor to 1.1584 by increasing the Nusselt number.","PeriodicalId":281681,"journal":{"name":"International Journal of Inventive Engineering and Sciences","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131251703","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 : 2023-04-30DOI: 10.35940/ijies.b3906.0410423
D. S., Ganesh T. Sri, Kumar S. N M Vamsi, Moulali SK.
The transportation system in our nation has been greatly impacted by the problem of traffic congestion. This leads to a number of complications or problems, especially when there are emergencies in the heavily trafficked lanes at traffic lights. To address these challenges, a traffic light management system is built in. Based on an RFID module, this system was designed to operate when it received a signal from an emergency vehicle. The Programmable Arduino nano micro controller was used to regulate the LEDs used in the traffic signals. The system's use of LEDs makes it easier for emergency vehicles to manoeuvre through traffic. As a result, the project's analysis and implementation of the traffic signal control system for emergency vehicles were successful.
{"title":"Intelligent Traffic Signal Control using RF Technology for Emergency Vehicles","authors":"D. S., Ganesh T. Sri, Kumar S. N M Vamsi, Moulali SK.","doi":"10.35940/ijies.b3906.0410423","DOIUrl":"https://doi.org/10.35940/ijies.b3906.0410423","url":null,"abstract":"The transportation system in our nation has been greatly impacted by the problem of traffic congestion. This leads to a number of complications or problems, especially when there are emergencies in the heavily trafficked lanes at traffic lights. To address these challenges, a traffic light management system is built in. Based on an RFID module, this system was designed to operate when it received a signal from an emergency vehicle. The Programmable Arduino nano micro controller was used to regulate the LEDs used in the traffic signals. The system's use of LEDs makes it easier for emergency vehicles to manoeuvre through traffic. As a result, the project's analysis and implementation of the traffic signal control system for emergency vehicles were successful.","PeriodicalId":281681,"journal":{"name":"International Journal of Inventive Engineering and Sciences","volume":"777 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132148523","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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