This undermines the traditional education system. We will focus on how to verify digital certificates using the Ethereum platform and smart contracts. Traditional paper certificates are converted into digital certificates at the request of students, and their tokens are calculated using a cryptographic hash function and stored in the blockchain. A unique validator ID and transaction hash is generated and then used to validate tokens through a common platform.
这破坏了传统的教育体系。我们将重点讨论如何利用以太坊平台和智能合约验证数字证书。传统的纸质证书会根据学生的要求转换成数字证书，其代币使用加密哈希函数计算并存储在区块链中。生成一个唯一的验证者 ID 和交易哈希值，然后通过一个通用平台来验证代币。
{"title":"Blockchain Based Academic and Professional Credentials","authors":"Dr.K.Srinivasa Rao, Palla Shirisha, Mopuri Navaneswar, Kummetha Chaitanya, Katakam Harsha Nithin","doi":"10.47392/irjaeh.2024.0191","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0191","url":null,"abstract":"This undermines the traditional education system. We will focus on how to verify digital certificates using the Ethereum platform and smart contracts. Traditional paper certificates are converted into digital certificates at the request of students, and their tokens are calculated using a cryptographic hash function and stored in the blockchain. A unique validator ID and transaction hash is generated and then used to validate tokens through a common platform.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"55 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141103022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-23DOI: 10.47392/irjaeh.2024.0186
Manimegala M, Gokulraj V, Karisni K, Manisha S
Generative Adversarial Networks (GANs) are prominent in unsupervised learning for their exceptional data-generation capabilities. GANs utilize backpropagation and a competitive process between a Generative Network (G) and a Discriminative Network (D). In this setup, G generates artificial images while D distinguishes real from artificial ones, enhancing G's ability to create realistic images. Deep Convolutional Generative Adversarial Networks (DCGAN) are particularly notable, using a convolutional architecture to produce high-quality human face images. This study trains DCGAN on the CelebFaces Attributes Dataset (CelebA), demonstrating its ability to generate human faces from unlabeled data and random noise. Evaluation is done quantitatively using the Structural Similarities Index (SSIM) and Peak Signal-to-Noise Ratio (PSNR) to assess image quality. Additionally, this abstract will compare the effectiveness of GANs and DCGANs in human face generation.
生成对抗网络（GANs）因其卓越的数据生成能力而在无监督学习领域大放异彩。GANs 利用反向传播和生成网络 (G) 与判别网络 (D) 之间的竞争过程。在这一设置中，G 生成人工图像，而 D 区分真实图像和人工图像，从而增强了 G 生成逼真图像的能力。深度卷积生成对抗网络（DCGAN）尤其引人注目，它使用卷积架构生成高质量的人脸图像。本研究在 CelebFaces Attributes Dataset (CelebA) 上对 DCGAN 进行了训练，展示了它从无标记数据和随机噪声中生成人脸的能力。研究使用结构相似性指数（SSIM）和峰值信噪比（PSNR）对图像质量进行定量评估。此外，本摘要还将比较 GAN 和 DCGAN 在生成人脸方面的有效性。
{"title":"Generating Human Face with Dcgan and Gan","authors":"Manimegala M, Gokulraj V, Karisni K, Manisha S","doi":"10.47392/irjaeh.2024.0186","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0186","url":null,"abstract":"Generative Adversarial Networks (GANs) are prominent in unsupervised learning for their exceptional data-generation capabilities. GANs utilize backpropagation and a competitive process between a Generative Network (G) and a Discriminative Network (D). In this setup, G generates artificial images while D distinguishes real from artificial ones, enhancing G's ability to create realistic images. Deep Convolutional Generative Adversarial Networks (DCGAN) are particularly notable, using a convolutional architecture to produce high-quality human face images. This study trains DCGAN on the CelebFaces Attributes Dataset (CelebA), demonstrating its ability to generate human faces from unlabeled data and random noise. Evaluation is done quantitatively using the Structural Similarities Index (SSIM) and Peak Signal-to-Noise Ratio (PSNR) to assess image quality. Additionally, this abstract will compare the effectiveness of GANs and DCGANs in human face generation.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"42 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141107700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-21DOI: 10.47392/irjaeh.2024.0172
Mr. Suresh K, Sanjay R, Vinoth M, Sanjay S
In the rapidly evolving landscape of technology, there is a constant quest for innovations that set themselves apart. Gestures emerge as a highly coveted means of communication with machines. The significance of Human-Computer Interaction becomes evident when harnessing human gestures to govern computer applications. While conventional controls like mice, keyboards, and laser pointers have been commonplace, recent technological strides have introduced more effective techniques for application control. Numerous Gesture Recognition methods, leveraging image processing, have been explored in the past. However, the challenge of recognizing gestures in noisy backgrounds has persistently posed difficulties. In our proposed system, we intend to employ a technique known as Augmentation in Image processing to command a Media Player. This involves recognizing gestures to manipulate operations on the Media Player. Augmentation proves advantageous, particularly in the realm of virtual reality, as it is not constrained by background limitations. Additionally, it eliminates dependencies on specific accessories like gloves or color pointers for gesture recognition. The proposed system caters to users seeking a simplified and enhanced interaction with their computers.
在技术飞速发展的今天，人们不断追求与众不同的创新。手势成为人们梦寐以求的与机器交流的手段。在利用人类手势控制计算机应用软件时，人机交互的意义就显而易见了。虽然鼠标、键盘和激光指示器等传统控制方式已经司空见惯，但最近的技术进步为应用程序控制引入了更有效的技术。过去，人们利用图像处理技术探索了许多手势识别方法。然而，在嘈杂背景下识别手势一直是个难题。在我们提出的系统中，我们打算采用一种称为 "图像处理增强"（Augmentation in Image Processing）的技术来指挥媒体播放器。这包括识别手势来操作媒体播放器。事实证明，增强技术具有优势，尤其是在虚拟现实领域，因为它不受背景限制。此外，它还消除了手势识别对手套或彩色指针等特定配件的依赖。拟议的系统可满足用户寻求简化和增强与计算机交互的需求。
{"title":"Optical Gesture Recognition for Virtual Cursor Navigation","authors":"Mr. Suresh K, Sanjay R, Vinoth M, Sanjay S","doi":"10.47392/irjaeh.2024.0172","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0172","url":null,"abstract":"In the rapidly evolving landscape of technology, there is a constant quest for innovations that set themselves apart. Gestures emerge as a highly coveted means of communication with machines. The significance of Human-Computer Interaction becomes evident when harnessing human gestures to govern computer applications. While conventional controls like mice, keyboards, and laser pointers have been commonplace, recent technological strides have introduced more effective techniques for application control. Numerous Gesture Recognition methods, leveraging image processing, have been explored in the past. However, the challenge of recognizing gestures in noisy backgrounds has persistently posed difficulties. In our proposed system, we intend to employ a technique known as Augmentation in Image processing to command a Media Player. This involves recognizing gestures to manipulate operations on the Media Player. Augmentation proves advantageous, particularly in the realm of virtual reality, as it is not constrained by background limitations. Additionally, it eliminates dependencies on specific accessories like gloves or color pointers for gesture recognition. The proposed system caters to users seeking a simplified and enhanced interaction with their computers.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"90 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141116400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-21DOI: 10.47392/irjaeh.2024.0179
Dr. M V Sreenivas Rao, Athmika Kavali, Geetha S, Sharanya K P
The advent of Agricultural Drones promises to revolutionize modern farming practices by employing autonomous drones for crop surveillance and pesticide application. Outfitting quadcopters with spraying mechanisms presents numerous advantages over traditional methods. Firstly, it facilitates precise and targeted application of agro-chemicals, thereby minimizing wastage and environmental pollution. Furthermore, quadcopters exhibit the capability to effortlessly navigate challenging terrains, accessing areas previously unreachable by conventional spraying equipment and ensuring comprehensive crop coverage. Additionally, their autonomous operation or remote human supervision enhances operational efficiency, resulting in reduced labor costs. This initiative explores the integration of unmanned aerial vehicles (UAVs) into agricultural practices, specifically emphasizing their role in precisely spraying agro-chemicals. The project encompasses the entire development cycle, from design and development to the deployment of customized agricultural drones capable of autonomous flight and accurate pesticide distribution. The incorporation of quadcopters for precise agro-chemical spraying marks a significant advancement in agricultural technology, offering precision, efficiency, and sustainability. Ongoing research, development, and collaboration play a crucial role in realizing the transformative benefits of this innovative approach, ultimately enhancing agricultural productivity and environmental stewardship.
{"title":"Design and Development of Quadcopter for Agro-Chemical Spray in Agricultural Field","authors":"Dr. M V Sreenivas Rao, Athmika Kavali, Geetha S, Sharanya K P","doi":"10.47392/irjaeh.2024.0179","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0179","url":null,"abstract":"The advent of Agricultural Drones promises to revolutionize modern farming practices by employing autonomous drones for crop surveillance and pesticide application. Outfitting quadcopters with spraying mechanisms presents numerous advantages over traditional methods. Firstly, it facilitates precise and targeted application of agro-chemicals, thereby minimizing wastage and environmental pollution. Furthermore, quadcopters exhibit the capability to effortlessly navigate challenging terrains, accessing areas previously unreachable by conventional spraying equipment and ensuring comprehensive crop coverage. Additionally, their autonomous operation or remote human supervision enhances operational efficiency, resulting in reduced labor costs. This initiative explores the integration of unmanned aerial vehicles (UAVs) into agricultural practices, specifically emphasizing their role in precisely spraying agro-chemicals. The project encompasses the entire development cycle, from design and development to the deployment of customized agricultural drones capable of autonomous flight and accurate pesticide distribution. The incorporation of quadcopters for precise agro-chemical spraying marks a significant advancement in agricultural technology, offering precision, efficiency, and sustainability. Ongoing research, development, and collaboration play a crucial role in realizing the transformative benefits of this innovative approach, ultimately enhancing agricultural productivity and environmental stewardship.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"79 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141116924","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 demand for water vending machines has surged in India, particularly in urban Sectors like Airports, Metro station, malls, offices, Railway stations, Universities and other public sectors, where access to safe drinking water is a pressing concern. However, existing machines predominantly rely on digital and cash payments, posing challenges for individuals without smartphones or ready cash. To address this gap, we propose integrating a phone call facility into water vending machines, allowing users to make purchases via a simple phone call. Coupled with an integrated mobile application accessible nationwide, this system promotes inclusivity and convenience. By leveraging technology, we can ensure that clean water remains accessible to all, regardless of their digital capabilities or financial constraints, aligning with the principles of Digital India. Our goal is to address the challenge faced by individuals without access to cash or mobile phones. Through our in-machine phone call services, users can facilitate payments for others, promoting financial inclusivity. Additionally, our solution enables individuals worldwide to make payments seamlessly through a dedicated application.
{"title":"Smart Water Dispensing: Enhancing Convenience Through App-Controlled Vending Machines","authors":"Aniruddha Badodkar, Abhishek Pindoriya, Himanshu Mukati, Rishabh Darwai, Mrs. Varsha Khule","doi":"10.47392/irjaeh.2024.0177","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0177","url":null,"abstract":"The demand for water vending machines has surged in India, particularly in urban Sectors like Airports, Metro station, malls, offices, Railway stations, Universities and other public sectors, where access to safe drinking water is a pressing concern. However, existing machines predominantly rely on digital and cash payments, posing challenges for individuals without smartphones or ready cash. To address this gap, we propose integrating a phone call facility into water vending machines, allowing users to make purchases via a simple phone call. Coupled with an integrated mobile application accessible nationwide, this system promotes inclusivity and convenience. By leveraging technology, we can ensure that clean water remains accessible to all, regardless of their digital capabilities or financial constraints, aligning with the principles of Digital India. Our goal is to address the challenge faced by individuals without access to cash or mobile phones. Through our in-machine phone call services, users can facilitate payments for others, promoting financial inclusivity. Additionally, our solution enables individuals worldwide to make payments seamlessly through a dedicated application.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"16 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141118365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-21DOI: 10.47392/irjaeh.2024.0174
Mathumitha Jeyashri. J, Swetha. S, Vishwa. J, Satheeswaran. C
The integration of finger vein authentication technology to enhance security measures within restricted zones in hospital environments, is the aim of this project. An advanced biometric technique called finger vein authentication uses each person's individual vein patterns to confirm their identification. It is especially desirable for applications where security is critical, such financial transactions, healthcare, and access control, because it provides a very safe and non-intrusive means of authentication. Although there has been considerable success with traditional finger vein authentication methods, deep learning techniques have completely changed this field. A branch of artificial intelligence called deep learning has shown impressive results in pattern recognition and picture analysis, which makes it a prime contender for improving the precision and dependability of finger vein authentication systems. Finger vein authentication utilizes biometric characteristics unique to everyone, providing a highly secure method of identity verification. By implementing this technology, hospitals can bolster access control, prevent unauthorized entry into sensitive areas, and safeguard patient information and critical resources. The project aims to implement finger vein authentication systems to regulate access to restricted areas such as operating rooms, medication storage areas, and patient information sections. Authorized personnel will undergo authentication via finger vein scans for entry, ensuring that only authorized individuals can access these zones.
{"title":"Enhancing Security Within Restricted Hospital Zones by Integrating Finger Vein Authentication","authors":"Mathumitha Jeyashri. J, Swetha. S, Vishwa. J, Satheeswaran. C","doi":"10.47392/irjaeh.2024.0174","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0174","url":null,"abstract":"The integration of finger vein authentication technology to enhance security measures within restricted zones in hospital environments, is the aim of this project. An advanced biometric technique called finger vein authentication uses each person's individual vein patterns to confirm their identification. It is especially desirable for applications where security is critical, such financial transactions, healthcare, and access control, because it provides a very safe and non-intrusive means of authentication. Although there has been considerable success with traditional finger vein authentication methods, deep learning techniques have completely changed this field. A branch of artificial intelligence called deep learning has shown impressive results in pattern recognition and picture analysis, which makes it a prime contender for improving the precision and dependability of finger vein authentication systems. Finger vein authentication utilizes biometric characteristics unique to everyone, providing a highly secure method of identity verification. By implementing this technology, hospitals can bolster access control, prevent unauthorized entry into sensitive areas, and safeguard patient information and critical resources. The project aims to implement finger vein authentication systems to regulate access to restricted areas such as operating rooms, medication storage areas, and patient information sections. Authorized personnel will undergo authentication via finger vein scans for entry, ensuring that only authorized individuals can access these zones.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"34 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141113720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-21DOI: 10.47392/irjaeh.2024.0183
Mahendra Kumar, Archana Bohra Gupta
The effectiveness of rapid visual screening (RVS) in determining the fire risk of reinforced concrete (RCC) buildings is examined in this review. RVS provides a quick and practical approach to evaluate fire risks, addressing the shortcomings of traditional methods. Through a comprehensive examination of methodology, advantages, limitations, and future directions, this study aims to enhance understanding and application of RVS in fire assessment. The study employs a systematic approach to evaluate the effectiveness of RVS, analyzing its application in assessing fire vulnerability in RCC structures. Key aspects of RVS methodology, including visual inspection, identification of structural vulnerabilities, and categorization of damage, scrutinized. A case study of the Chopasani Housing Boards building in Jodhpur provides empirical evidence of RVS's utility in identifying fire-related structural vulnerabilities. The concluded, the analysis reveals that RVS effectively categorizes fire-induced damage in RCC buildings, facilitating prioritization of mitigation efforts. Damage classifications, ranging from mild to extreme, are discerned through RVS, underscoring its ability to swiftly assess structural vulnerabilities. Additionally, RVS analysis elucidates the residual strength of RCC components post-incident, providing valuable insights for retrofitting and maintenance efforts. Overall, this study highlights the pivotal role of RVS in bolstering structural fire safety measures, emphasizing its practicality, cost-effectiveness, and accessibility. However, limitations such as subjectivity and inadequate assessment of complex structures necessitate ongoing refinement and integration with advanced technologies. The findings underscore the importance of RVS in enhancing fire safety assessment practices and mitigating fire risks in urban buildings, particularly in the context of reinforced concrete structures.
{"title":"Post Fire Assessment of RCC Buildings Through Rapid Visual Screening","authors":"Mahendra Kumar, Archana Bohra Gupta","doi":"10.47392/irjaeh.2024.0183","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0183","url":null,"abstract":"The effectiveness of rapid visual screening (RVS) in determining the fire risk of reinforced concrete (RCC) buildings is examined in this review. RVS provides a quick and practical approach to evaluate fire risks, addressing the shortcomings of traditional methods. Through a comprehensive examination of methodology, advantages, limitations, and future directions, this study aims to enhance understanding and application of RVS in fire assessment. The study employs a systematic approach to evaluate the effectiveness of RVS, analyzing its application in assessing fire vulnerability in RCC structures. Key aspects of RVS methodology, including visual inspection, identification of structural vulnerabilities, and categorization of damage, scrutinized. A case study of the Chopasani Housing Boards building in Jodhpur provides empirical evidence of RVS's utility in identifying fire-related structural vulnerabilities. The concluded, the analysis reveals that RVS effectively categorizes fire-induced damage in RCC buildings, facilitating prioritization of mitigation efforts. Damage classifications, ranging from mild to extreme, are discerned through RVS, underscoring its ability to swiftly assess structural vulnerabilities. Additionally, RVS analysis elucidates the residual strength of RCC components post-incident, providing valuable insights for retrofitting and maintenance efforts. Overall, this study highlights the pivotal role of RVS in bolstering structural fire safety measures, emphasizing its practicality, cost-effectiveness, and accessibility. However, limitations such as subjectivity and inadequate assessment of complex structures necessitate ongoing refinement and integration with advanced technologies. The findings underscore the importance of RVS in enhancing fire safety assessment practices and mitigating fire risks in urban buildings, particularly in the context of reinforced concrete structures.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"28 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141117246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-21DOI: 10.47392/irjaeh.2024.0178
Raswanth S S, Roshan M, Sanjit S, Dr. Suresh P
The article explores the integration of AI and automated trading in the Forex market, focusing on the development of a custom Expert Advisor using FXDreema. To improve trading success, the approach includes a custom indicator and a martingale mechanism for hedging. Backtesting results show clear trade opportunities and substantial profits. Iterative testing procedures are highlighted while discussing optimization and integration challenges. The significance of automated trading methods and the part FXDreema plays in democratizing the creation of expert advisors are emphasized in the references. The potential for consistent profitability and future optimization tactics of the Expert Advisor are emphasized in the conclusion.
{"title":"Revolutionizing Forex Trading: Harnessing AI for Seamless Market Automation","authors":"Raswanth S S, Roshan M, Sanjit S, Dr. Suresh P","doi":"10.47392/irjaeh.2024.0178","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0178","url":null,"abstract":"The article explores the integration of AI and automated trading in the Forex market, focusing on the development of a custom Expert Advisor using FXDreema. To improve trading success, the approach includes a custom indicator and a martingale mechanism for hedging. Backtesting results show clear trade opportunities and substantial profits. Iterative testing procedures are highlighted while discussing optimization and integration challenges. The significance of automated trading methods and the part FXDreema plays in democratizing the creation of expert advisors are emphasized in the references. The potential for consistent profitability and future optimization tactics of the Expert Advisor are emphasized in the conclusion.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"16 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141118414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-21DOI: 10.47392/irjaeh.2024.0180
Vinay Kumar, Surendra Kumar
This research paper investigates the enhancement of solar photovoltaic (PV) cell efficiency through a comparative analysis of advanced materials and manufacturing techniques. With the escalating demand for renewable energy solutions, improving the efficiency of solar cells is paramount. This study focuses on several promising materials including silicon, perovskite, CIGS, organic, and dye-sensitized options, alongside innovative manufacturing techniques such as roll-to-roll printing, ultrasonic spraying, and laser scribing. The methodology employed an experimental approach, where various prototypes were fabricated and tested under controlled laboratory conditions. Regression analysis was utilized to examine the impact of different materials and manufacturing techniques on solar cell performance. Key findings revealed that specific manufacturing techniques, particularly laser scribing, significantly enhance the efficiency of silicon-based cells. Moreover, perovskite cells displayed robust performance under varied environmental conditions, suggesting their broader application potential. Material enhancements such as sodium doping in CIGS cells were also shown to substantially increase efficiency. The implications of these findings are significant, offering insights into the effective integration of materials and techniques that could lead to more cost-effective and efficient solar energy systems. This study not only advances the academic understanding of photovoltaic technologies but also guides practical implementations in the solar industry.
{"title":"Enhancing Solar Photovoltaic Cell Efficiency: A Comparative Analysis of Advanced Materials and Manufacturing Techniques","authors":"Vinay Kumar, Surendra Kumar","doi":"10.47392/irjaeh.2024.0180","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0180","url":null,"abstract":"This research paper investigates the enhancement of solar photovoltaic (PV) cell efficiency through a comparative analysis of advanced materials and manufacturing techniques. With the escalating demand for renewable energy solutions, improving the efficiency of solar cells is paramount. This study focuses on several promising materials including silicon, perovskite, CIGS, organic, and dye-sensitized options, alongside innovative manufacturing techniques such as roll-to-roll printing, ultrasonic spraying, and laser scribing. The methodology employed an experimental approach, where various prototypes were fabricated and tested under controlled laboratory conditions. Regression analysis was utilized to examine the impact of different materials and manufacturing techniques on solar cell performance. Key findings revealed that specific manufacturing techniques, particularly laser scribing, significantly enhance the efficiency of silicon-based cells. Moreover, perovskite cells displayed robust performance under varied environmental conditions, suggesting their broader application potential. Material enhancements such as sodium doping in CIGS cells were also shown to substantially increase efficiency. The implications of these findings are significant, offering insights into the effective integration of materials and techniques that could lead to more cost-effective and efficient solar energy systems. This study not only advances the academic understanding of photovoltaic technologies but also guides practical implementations in the solar industry.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141113993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-21DOI: 10.47392/irjaeh.2024.0182
Hemex Premjiyani, Arunesh Dwivedi, Hiren Rana
Industrial gas turbines (GT) that operate at constant speed are constant-volume-flow combustion machines. As the specific volume of air is directly proportional to the temperature, an increase in air density results in a higher air mass flow rate at low air ambient temperatures. This results more mass of air is now passes through same volume gas turbine space. Consequently, the gas turbine power output increases proportionally with the increase in air mass flow rate. For geographic regions where warm and humid months are predominant throughout the year, significant power loss occurs during these months, and a higher rate of expensive fuel is fired at reduced power output. A gas turbine inlet air cooling technique is a useful option to enhance GT output. One of the innovative options for power augmentation of gas turbine is inlet air conditioning using a vapor absorption machine (VAM). Using VAM for GT intake air conditioning has the advantage over other systems in that it can be operated from waste heat. Many gas turbine machines, particularly natural gas pumping stations, are operated without heat recovery steam generator (HRSG) or heat recovery option. Valuable heat energy is escaped with exhaust flue gas in these systems. This paper demonstrates how GT exhaust waste heat can be utilized for its own power generation enhancement. In this study, a flue gas-based vapor absorption machine is selected for cooling the inlet air of a 26 MW gas turbine, which is used to drive the booster compressor of a natural gas pumping station. The capacity of the VAM for the required cooling effect has been calculated. The expected GT power enhancement from intake air gas conditioning has also been estimated in this paper.
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