Pub Date : 2024-08-09DOI: 10.47392/irjaeh.2024.0302
Kerai Divyakumar Pravinbhai, Ankitkumar S. Patel, Jayraj V. Solanki, Vikram Patel
Technology plays a pivotal role in shaping construction industry. Adoption of new trends, tools, software and technology would motivate to minimize problems that arise during use of drones in construction. The paper not only elaborates previous reviews on Drone Technology (DT) in Construction Industry (CI), but also explores extensive literature review on (I) classification of drones, construction software used with drone, (iii) overview of utility of DT in construction and related industries (iv) recent construction technology trends, tools and techniques accomplish with drone technology. This is basically a review paper. The aim of this paper is to study the potential of DT in construction industry, extended it to understand the following issues in better way(I) benefits and impacts of drone in CI, (ii) record disadvantage of drone in CI(iii) integration of BIM with DT at substantial length and volume (iv)extensive description and enumeration on applications and uses of drones in CI(v) use of drone at each stage of construction stage to monitor the progress of construction rightly from the purchase of land to close out the project(vi)lastly appended a note on the impact of COVID-19 on construction. This study (2012-2024) also discusses challenges, opportunities, limitations, and strategies for the adoption of drones in construction. It assists to contractors, building planners, designers, academicians, engineers, and architects to improve the construction activities for greater efficiency and better performance. It also motivates towards inclusion of these technologies in the curriculum in Architecture Engineering.
{"title":"Drone Technology in Construction Industry","authors":"Kerai Divyakumar Pravinbhai, Ankitkumar S. Patel, Jayraj V. Solanki, Vikram Patel","doi":"10.47392/irjaeh.2024.0302","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0302","url":null,"abstract":"Technology plays a pivotal role in shaping construction industry. Adoption of new trends, tools, software and technology would motivate to minimize problems that arise during use of drones in construction. The paper not only elaborates previous reviews on Drone Technology (DT) in Construction Industry (CI), but also explores extensive literature review on (I) classification of drones, construction software used with drone, (iii) overview of utility of DT in construction and related industries (iv) recent construction technology trends, tools and techniques accomplish with drone technology. This is basically a review paper. The aim of this paper is to study the potential of DT in construction industry, extended it to understand the following issues in better way(I) benefits and impacts of drone in CI, (ii) record disadvantage of drone in CI(iii) integration of BIM with DT at substantial length and volume (iv)extensive description and enumeration on applications and uses of drones in CI(v) use of drone at each stage of construction stage to monitor the progress of construction rightly from the purchase of land to close out the project(vi)lastly appended a note on the impact of COVID-19 on construction. This study (2012-2024) also discusses challenges, opportunities, limitations, and strategies for the adoption of drones in construction. It assists to contractors, building planners, designers, academicians, engineers, and architects to improve the construction activities for greater efficiency and better performance. It also motivates towards inclusion of these technologies in the curriculum in Architecture Engineering.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"59 42","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141923457","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 : 2024-08-09DOI: 10.47392/irjaeh.2024.0301
Dr. Rudrappa K M, Purushotham S, Shamika B S, Shivakumar, Zoya
Pest infestations are in the group of main issues farmers deal with. Detecting the infection manually in its early stages is a big challenge farmer’s face while interacting with pest attacks. The rapid spread of sickness is causing farmers to endure significant losses. This enormous Loss is unable to manage until the insect's invasion is handled physically. This approach aims to identify insect’s assaults in its early stages. This study suggests an automatic approach to recognize insect’s attacks and alerting farmers to infections. The RaspberryPi 3B is connected to humidity and temperature sensors for measurement. The plant’s pictures are taken for further processing. Later, we compare them with healthy images. We have compared the threshold values for humidity and temperature. When the readings of humidity and temperature in the acquired image surpass the threshold values that could be classified as an affected image. Because it differs from the healthy leaf that was sampled. The diseased leaf is recognized, finally, the agriculturist is notified via TWILIO. The affected leaf is identified, and the farmer is notified via the TWILIO. The real-time data are examined with the sample data.
{"title":"Smart Plant Health Control System","authors":"Dr. Rudrappa K M, Purushotham S, Shamika B S, Shivakumar, Zoya","doi":"10.47392/irjaeh.2024.0301","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0301","url":null,"abstract":"Pest infestations are in the group of main issues farmers deal with. Detecting the infection manually in its early stages is a big challenge farmer’s face while interacting with pest attacks. The rapid spread of sickness is causing farmers to endure significant losses. This enormous Loss is unable to manage until the insect's invasion is handled physically. This approach aims to identify insect’s assaults in its early stages. This study suggests an automatic approach to recognize insect’s attacks and alerting farmers to infections. The RaspberryPi 3B is connected to humidity and temperature sensors for measurement. The plant’s pictures are taken for further processing. Later, we compare them with healthy images. We have compared the threshold values for humidity and temperature. When the readings of humidity and temperature in the acquired image surpass the threshold values that could be classified as an affected image. Because it differs from the healthy leaf that was sampled. The diseased leaf is recognized, finally, the agriculturist is notified via TWILIO. The affected leaf is identified, and the farmer is notified via the TWILIO. The real-time data are examined with the sample data.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"45 37","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141924096","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 : 2024-08-09DOI: 10.47392/irjaeh.2024.0296
Sonal Vaghela, Ankitkumar S. Patel, Jayraj V. Solanki, Kamlesh Damdoo
The integration of renewable energy systems in green building project is essential for achieving sustainable development goals. Despite significant advancement, several barriers, including high initial cost, technical challenges, and inadequate policy support, continue to impede the widespread adoption of renewable energy technologies in the construction sector. This research explores innovative strategies to overcome these barriers and enhance energy performance in green building. The study investigates key strategies such as integration of photovoltaic-thermal hybrid system, the utilization of phase change materials for thermal energy storage, and the implementation of advances building energy management system utilizing artificial intelligence. By employing a mix method approach to examine these novel approaches and assess relevant policy frameworks, this study aims to provide actionable insights that can drive the adoption of renewable energy solution in the construction industry. The expected findings are anticipated to contribute to the advancement of sustainable building practice and offer practical recommendations for policymaker, architects, and stakeholders in the green building sector.
{"title":"Optimizing Renewable Energy Integration in Green Building Projects: Addressing Barriers and Enhancing Energy Performance","authors":"Sonal Vaghela, Ankitkumar S. Patel, Jayraj V. Solanki, Kamlesh Damdoo","doi":"10.47392/irjaeh.2024.0296","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0296","url":null,"abstract":"The integration of renewable energy systems in green building project is essential for achieving sustainable development goals. Despite significant advancement, several barriers, including high initial cost, technical challenges, and inadequate policy support, continue to impede the widespread adoption of renewable energy technologies in the construction sector. This research explores innovative strategies to overcome these barriers and enhance energy performance in green building. The study investigates key strategies such as integration of photovoltaic-thermal hybrid system, the utilization of phase change materials for thermal energy storage, and the implementation of advances building energy management system utilizing artificial intelligence. By employing a mix method approach to examine these novel approaches and assess relevant policy frameworks, this study aims to provide actionable insights that can drive the adoption of renewable energy solution in the construction industry. The expected findings are anticipated to contribute to the advancement of sustainable building practice and offer practical recommendations for policymaker, architects, and stakeholders in the green building sector.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"58 27","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141923097","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 : 2024-08-09DOI: 10.47392/irjaeh.2024.0300
Sagar Kunnur, Ankitkumar S. Patel, Jayraj V. Solanki, Arjunkumar M. Bhutal
This research examines the pervasive issues of workplace harassment ad discrimination with the field of construction engineering and proposes strategies to foster inclusive, construction engineering continues to graph with systemic biases, unequal treatment, and hostile work environment. By analyzing current literature, case studies, and industry practices, this study identifies key challenges faced by marginalized groups, including women, minorities, and LGBTQ+ individuals, in the construction engineering sector. Moreover, it explores the detrimental effects of harassment and discrimination on individuals, teams, and organizational culture, emphasizing the importance of addressing these issues proactively. Drawing upon best practices form other industries and empirical evidence, this research offers practical recommendations for crating inclusive workplace in construction engineering, such as implementing comprehensive diversity training programs, establishing transparent reporting mechanisms, promoting diverse leadership representation, and fostering a culture of respect and accountability. By adopting these strategies, construction engineering organization can mitigate the negative impacts of harassment and discrimination, cultivate diverse talent pipelines, enhance employee well-being, and ultimately, drive innovation and productivity in the industry.
{"title":"Addressing Workplace Harassment and Discrimination: Strategies for Creating Inclusive Environments in Construction Engineering","authors":"Sagar Kunnur, Ankitkumar S. Patel, Jayraj V. Solanki, Arjunkumar M. Bhutal","doi":"10.47392/irjaeh.2024.0300","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0300","url":null,"abstract":"This research examines the pervasive issues of workplace harassment ad discrimination with the field of construction engineering and proposes strategies to foster inclusive, construction engineering continues to graph with systemic biases, unequal treatment, and hostile work environment. By analyzing current literature, case studies, and industry practices, this study identifies key challenges faced by marginalized groups, including women, minorities, and LGBTQ+ individuals, in the construction engineering sector. Moreover, it explores the detrimental effects of harassment and discrimination on individuals, teams, and organizational culture, emphasizing the importance of addressing these issues proactively. Drawing upon best practices form other industries and empirical evidence, this research offers practical recommendations for crating inclusive workplace in construction engineering, such as implementing comprehensive diversity training programs, establishing transparent reporting mechanisms, promoting diverse leadership representation, and fostering a culture of respect and accountability. By adopting these strategies, construction engineering organization can mitigate the negative impacts of harassment and discrimination, cultivate diverse talent pipelines, enhance employee well-being, and ultimately, drive innovation and productivity in the industry.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"50 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141923841","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 : 2024-08-09DOI: 10.47392/irjaeh.2024.0299
Akilandasowmya.G, Gauthami Ghadiyaram, M. Pavetha, S.P. Hemamalini
With the advancement of technology and the widespread use of media there has been an increase, in the circulation of fake news. Unfortunately, some individuals intentionally spread information to manipulate opinion and drive traffic to specific websites. One such instance occurred during the Covid 19 pandemic when misleading rumors started circulating falsely claiming that Covid vaccines were linked to heart attacks and infertility. These baseless claims created hesitancy among people regarding vaccination. To assist individuals in identifying news accurately this paper compares the performance of various machine learning algorithms such as Passive Aggressive Classifier, Decision Tree, Random Forest, Logistic Regression and Naïve Bayes. After evaluating their results, it was determined that the Passive Aggressive Classifier achieved an accuracy rate of 98.2% followed by Naïve Bayes with 96.59% accuracy Random Forest with 96.95% accuracy, Decision Tree with 96.23% accuracy and Logistic Regression with 97.22% accuracy. Based on these findings it can be concluded that the Passive Aggressive Classifier is the algorithm for predicting fake news among all five models tested in this study. The data used for building these machine learning models was obtained from Kaggle website. The primary objective of this research paper is to provide guidance to individuals seeking to choose an algorithm that offers accuracy, in detecting news.
{"title":"Accurate Fake News Prediction by Comparing Performance of Machine learning algorithms","authors":"Akilandasowmya.G, Gauthami Ghadiyaram, M. Pavetha, S.P. Hemamalini","doi":"10.47392/irjaeh.2024.0299","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0299","url":null,"abstract":"With the advancement of technology and the widespread use of media there has been an increase, in the circulation of fake news. Unfortunately, some individuals intentionally spread information to manipulate opinion and drive traffic to specific websites. One such instance occurred during the Covid 19 pandemic when misleading rumors started circulating falsely claiming that Covid vaccines were linked to heart attacks and infertility. These baseless claims created hesitancy among people regarding vaccination. To assist individuals in identifying news accurately this paper compares the performance of various machine learning algorithms such as Passive Aggressive Classifier, Decision Tree, Random Forest, Logistic Regression and Naïve Bayes. After evaluating their results, it was determined that the Passive Aggressive Classifier achieved an accuracy rate of 98.2% followed by Naïve Bayes with 96.59% accuracy Random Forest with 96.95% accuracy, Decision Tree with 96.23% accuracy and Logistic Regression with 97.22% accuracy. Based on these findings it can be concluded that the Passive Aggressive Classifier is the algorithm for predicting fake news among all five models tested in this study. The data used for building these machine learning models was obtained from Kaggle website. The primary objective of this research paper is to provide guidance to individuals seeking to choose an algorithm that offers accuracy, in detecting news.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"41 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141924142","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 : 2024-08-09DOI: 10.47392/irjaeh.2024.0298
Jasobanta Laha, S. Pattnaik
Dynamic load balancing in cloud computing is essential for optimizing resource utilization and ensuring high performance of applications and services. This dynamic load balancing in cloud computing is a critical aspect of modern technology, ensuring efficient resource utilization and high performance for various applications and services. This article investigates the application of dynamic load balancing, focusing on the parameters of response time, processing time, and makespan. By analyzing the impact of these parameters, we aim to demonstrate how dynamic load balancing algorithms can effectively distribute workloads in real-time, adapting to changes in demand and system conditions. The study covers practical applications in daily life, including e-commerce platforms, streaming services, online gaming, social media, financial services, healthcare, and education. The findings highlight the importance of dynamic load balancing in enhancing user experiences, operational efficiency, and overall system performance. The paper concludes by emphasizing the need for continued research and development to further optimize dynamic load balancing in cloud computing environments. We explore the use of dynamic load balancing in e-commerce, streaming services, online gaming, social media, financial services, healthcare, and education. The findings highlight the critical role of dynamic load balancing in enhancing user experiences and operational efficiency.
{"title":"Dynamic Load Balancing in Cloud Computing: Improving Efficiency and Performance in Real Life Applications","authors":"Jasobanta Laha, S. Pattnaik","doi":"10.47392/irjaeh.2024.0298","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0298","url":null,"abstract":"Dynamic load balancing in cloud computing is essential for optimizing resource utilization and ensuring high performance of applications and services. This dynamic load balancing in cloud computing is a critical aspect of modern technology, ensuring efficient resource utilization and high performance for various applications and services. This article investigates the application of dynamic load balancing, focusing on the parameters of response time, processing time, and makespan. By analyzing the impact of these parameters, we aim to demonstrate how dynamic load balancing algorithms can effectively distribute workloads in real-time, adapting to changes in demand and system conditions. The study covers practical applications in daily life, including e-commerce platforms, streaming services, online gaming, social media, financial services, healthcare, and education. The findings highlight the importance of dynamic load balancing in enhancing user experiences, operational efficiency, and overall system performance. The paper concludes by emphasizing the need for continued research and development to further optimize dynamic load balancing in cloud computing environments. We explore the use of dynamic load balancing in e-commerce, streaming services, online gaming, social media, financial services, healthcare, and education. The findings highlight the critical role of dynamic load balancing in enhancing user experiences and operational efficiency.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141922071","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 : 2024-07-23DOI: 10.47392/irjaeh.2024.0276
D r. T. Vara Lakshmi, L. Sainath Yadav, M. Adithi reddy
Robotic Process Automation (RPA) has emerged as a transformative technology in the banking sector, offering opportunities to streamline operations, reduce costs, and enhance customer experiences. This explores the impact of RPA implementation on customer experience within the banking industry. By automating repetitive, rule-based tasks such as account maintenance, loan processing, and customer inquiries, banks can significantly improve operational efficiency and accuracy while freeing up human resources to focus on higher-value activities. Furthermore, we discuss the challenges and considerations associated with RPA adoption in banking, including data security, regulatory compliance, and employee upskilling. Ultimately, this underscores the pivotal role of RPA in reshaping the banking landscape, driving innovation, and delivering superior customer experiences in an increasingly digital world.
{"title":"Robotic Process Automation in Banking for Better Customer Experience","authors":"D r. T. Vara Lakshmi, L. Sainath Yadav, M. Adithi reddy","doi":"10.47392/irjaeh.2024.0276","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0276","url":null,"abstract":"Robotic Process Automation (RPA) has emerged as a transformative technology in the banking sector, offering opportunities to streamline operations, reduce costs, and enhance customer experiences. This explores the impact of RPA implementation on customer experience within the banking industry. By automating repetitive, rule-based tasks such as account maintenance, loan processing, and customer inquiries, banks can significantly improve operational efficiency and accuracy while freeing up human resources to focus on higher-value activities. Furthermore, we discuss the challenges and considerations associated with RPA adoption in banking, including data security, regulatory compliance, and employee upskilling. Ultimately, this underscores the pivotal role of RPA in reshaping the banking landscape, driving innovation, and delivering superior customer experiences in an increasingly digital world.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"82 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141812953","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 : 2024-07-18DOI: 10.47392/irjaeh.2024.0274
Deepali A. Godse, Mrunmai Watane, Nilofar Mulla, Shweta P. Patil, Sakshi Dubbewar
In today's rapidly evolving technological landscape, the successful execution of software projects relies on effective requirement management, accurate estimations, and persuasive project proposals. This research paper introduces an innovative robotic framework designed to enhance and optimize important aspects of project development and planning. The Robotic Framework enhances project management by reducing human error, increasing efficiency, and ensuring that all project elements align with industry standards and best practices. It learns from past projects and adapt to changing requirements makes it an invaluable asset for software development teams, fostering collaboration and improving project success rates.
{"title":"Robotic Framework for Requirement Management, Estimations and Project Proposals","authors":"Deepali A. Godse, Mrunmai Watane, Nilofar Mulla, Shweta P. Patil, Sakshi Dubbewar","doi":"10.47392/irjaeh.2024.0274","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0274","url":null,"abstract":"In today's rapidly evolving technological landscape, the successful execution of software projects relies on effective requirement management, accurate estimations, and persuasive project proposals. This research paper introduces an innovative robotic framework designed to enhance and optimize important aspects of project development and planning. The Robotic Framework enhances project management by reducing human error, increasing efficiency, and ensuring that all project elements align with industry standards and best practices. It learns from past projects and adapt to changing requirements makes it an invaluable asset for software development teams, fostering collaboration and improving project success rates.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":" 31","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141824883","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 study aims to bolster security and trust in ridesharing by leveraging blockchain technology. Employing blockchain, smart contracts, and simulations, the research focuses on facilitating transparent and secure transactions within the ridesharing ecosystem. The findings reveal a substantial enhancement in carpooling security and transparency, marking a transformative milestone for shared mobility. Through the integration of blockchain, this research pioneers novel approaches, ensuring the integrity of transactions and fostering trust between rideshare participants. The study's novelty lies in its introduction of unprecedented blockchain applications, reshaping the landscape of shared mobility. By establishing a secure foundation through blockchain and smart contracts, the research contributes to the evolution of ridesharing, emphasizing the potential for heightened security and trust in the increasingly interconnected world of shared transportation.
{"title":"Peer to Peer Ridesharing using Blockchain Technology","authors":"Taranpreet Singh, Aditya Patil, Yogesh Nanavare, Bhushankumar Khade, AtharvSolapure","doi":"10.47392/irjaeh.2024.0275","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0275","url":null,"abstract":"This study aims to bolster security and trust in ridesharing by leveraging blockchain technology. Employing blockchain, smart contracts, and simulations, the research focuses on facilitating transparent and secure transactions within the ridesharing ecosystem. The findings reveal a substantial enhancement in carpooling security and transparency, marking a transformative milestone for shared mobility. Through the integration of blockchain, this research pioneers novel approaches, ensuring the integrity of transactions and fostering trust between rideshare participants. The study's novelty lies in its introduction of unprecedented blockchain applications, reshaping the landscape of shared mobility. By establishing a secure foundation through blockchain and smart contracts, the research contributes to the evolution of ridesharing, emphasizing the potential for heightened security and trust in the increasingly interconnected world of shared transportation.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":" 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141826645","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 : 2024-07-15DOI: 10.47392/irjaeh.2024.0271
Avantika Bisht, Annu Singla, Kamaldeep Joshi
In contemporary times, the exploration of digital multimedia has transformed it into a reliable medium for secure communication. Steganography, the art of concealed communication through mediums like images, has emerged as a pivotal approach, countered by the opposing method of steganalysis for detecting embedded data. This review delves into diverse methodologies examined by researchers, elucidating the primary objective of image steganography—to safeguard data messages from illicit access. The essence lies in discreetly transferring embedded secure data to the target destination without detection by unauthorized users. While various carrier file formats can be employed, digital images, owing to their widespread use on the global Internet, become the preferred medium. The realm of steganographic methodologies encompasses a broad spectrum, varying in complexity, each with its distinct strengths and weaknesses. This exploration underscores the dynamic landscape of image steganography, affirming the ongoing pursuit of effective methods to protect information from unauthorized access through covert channels. The review article provides an overview of various methodologies employed by researchers in the field of image steganography. It emphasizes the significance of using digital images as carrier files due to their prevalence on the worldwide Internet. The content acknowledges the complexity of steganographic methods and highlights that each method has its own strengths and weaknesses. Overall, the discussion underscores the importance of exploring and analyzing these methodologies to enhance the effectiveness of image steganography in secure communication.
{"title":"A Review on Image Steganography Techniques","authors":"Avantika Bisht, Annu Singla, Kamaldeep Joshi","doi":"10.47392/irjaeh.2024.0271","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0271","url":null,"abstract":"In contemporary times, the exploration of digital multimedia has transformed it into a reliable medium for secure communication. Steganography, the art of concealed communication through mediums like images, has emerged as a pivotal approach, countered by the opposing method of steganalysis for detecting embedded data. This review delves into diverse methodologies examined by researchers, elucidating the primary objective of image steganography—to safeguard data messages from illicit access. The essence lies in discreetly transferring embedded secure data to the target destination without detection by unauthorized users. While various carrier file formats can be employed, digital images, owing to their widespread use on the global Internet, become the preferred medium. The realm of steganographic methodologies encompasses a broad spectrum, varying in complexity, each with its distinct strengths and weaknesses. This exploration underscores the dynamic landscape of image steganography, affirming the ongoing pursuit of effective methods to protect information from unauthorized access through covert channels. The review article provides an overview of various methodologies employed by researchers in the field of image steganography. It emphasizes the significance of using digital images as carrier files due to their prevalence on the worldwide Internet. The content acknowledges the complexity of steganographic methods and highlights that each method has its own strengths and weaknesses. Overall, the discussion underscores the importance of exploring and analyzing these methodologies to enhance the effectiveness of image steganography in secure communication.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"44 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141644966","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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