Pub Date : 2024-05-24DOI: 10.47392/irjaeh.2024.0209
Ananya Kaul, Priyam Aneja, Sarthak Tomar, Dr Abdul Rahman
The objective of this project is to improve the effectiveness and efficiency of advertising on various platforms by utilizing advanced algorithms, namely the Upper Confidence Bound and Thompson Sampling Algorithm. The project aims to find a balance between exploring new advertising strategies and exploiting proven high-performing approaches. By implementing these bandit algorithms, the project aims to dynamically optimize ad placements, formats, and targeting to maximize user engagement and ad revenue. The methodology involves an iterative process of data collection, analysis, and adaptation. The initial phases include defining project objectives, understanding the target audience, and reviewing the current ad strategy. The Upper Confidence Bound algorithm enables intelligent decision-making by assigning confidence bounds to different ad strategies, allowing for efficient exploration and exploitation. On the other hand, the Thompson Sampling algorithm, rooted in Bayesian principles, dynamically adapts based on observed outcomes, striking a balance between exploration and exploitation through probabilistic reasoning. In summary, this Ads Optimization Project utilizes the power of the Upper Confidence Bound and Thompson Sampling algorithms to create a data-driven, adaptive, and user-centric approach to advertising. The ultimate goal is to achieve optimal user engagement and ad revenue.
{"title":"Ad Optimization Via Machine Learning: A Focus on Upper Confidence Bound and Thompson Sampling Algorithms","authors":"Ananya Kaul, Priyam Aneja, Sarthak Tomar, Dr Abdul Rahman","doi":"10.47392/irjaeh.2024.0209","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0209","url":null,"abstract":"The objective of this project is to improve the effectiveness and efficiency of advertising on various platforms by utilizing advanced algorithms, namely the Upper Confidence Bound and Thompson Sampling Algorithm. The project aims to find a balance between exploring new advertising strategies and exploiting proven high-performing approaches. By implementing these bandit algorithms, the project aims to dynamically optimize ad placements, formats, and targeting to maximize user engagement and ad revenue. The methodology involves an iterative process of data collection, analysis, and adaptation. The initial phases include defining project objectives, understanding the target audience, and reviewing the current ad strategy. The Upper Confidence Bound algorithm enables intelligent decision-making by assigning confidence bounds to different ad strategies, allowing for efficient exploration and exploitation. On the other hand, the Thompson Sampling algorithm, rooted in Bayesian principles, dynamically adapts based on observed outcomes, striking a balance between exploration and exploitation through probabilistic reasoning. In summary, this Ads Optimization Project utilizes the power of the Upper Confidence Bound and Thompson Sampling algorithms to create a data-driven, adaptive, and user-centric approach to advertising. The ultimate goal is to achieve optimal user engagement and ad revenue.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"11 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141098640","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 use of medical imaging in telemedicine insurance and other applications has grown significantly in recent years. imaging techniques used in medicine, such as ultrasound, X-rays, computed tomography, and magnetic resonance imaging (MRI). plays a crucial part in the diagnosis of numerous illnesses. The internet has quickly advanced in terms of sharing and transferring large volumes of data. Medical image transmission can be impacted by a variety of attacks and medical image kinds. putting forth a medical data security strategy and outlining the various obstacles that it faces. This strategy attains a high degree of security and withstands many attacks over an extended period of time. A thorough analysis of security methods, including steganography, encryption, and compression, is presented along with a comprehensive assessment of current studies. Ensuring the security of medical images during transmission is crucial in safeguarding patient privacy. Steganography and cryptography are needed for secure transmission in order to maintain data integrity and confidentiality. An application to embed a video or audio content in another file is the project's development. Its focus is on securely and robustly embedding information under a seemingly innocent shroud. This system uses the ideas of cryptography and steganography to make the data more secure. Using an encryption technique that is resilient to various attacks over time is essential for improving the cryptography portion of the system. The paper's goal is to provide an overview and evaluation of each approach's various algorithms using several metrics, including PSNR, MSE, BER, and NC.
{"title":"A Novel Secure and Robust Encryption Scheme for Medical Videos, Images and Reports","authors":"Riyazbanu, G.Venkata Kireeti, D.Niranjan Reddy, A.Gowtham Kumar Reddy, G.Vamsee Krishna","doi":"10.47392/irjaeh.2024.0199","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0199","url":null,"abstract":"The use of medical imaging in telemedicine insurance and other applications has grown significantly in recent years. imaging techniques used in medicine, such as ultrasound, X-rays, computed tomography, and magnetic resonance imaging (MRI). plays a crucial part in the diagnosis of numerous illnesses. The internet has quickly advanced in terms of sharing and transferring large volumes of data. Medical image transmission can be impacted by a variety of attacks and medical image kinds. putting forth a medical data security strategy and outlining the various obstacles that it faces. This strategy attains a high degree of security and withstands many attacks over an extended period of time. A thorough analysis of security methods, including steganography, encryption, and compression, is presented along with a comprehensive assessment of current studies. Ensuring the security of medical images during transmission is crucial in safeguarding patient privacy. Steganography and cryptography are needed for secure transmission in order to maintain data integrity and confidentiality. An application to embed a video or audio content in another file is the project's development. Its focus is on securely and robustly embedding information under a seemingly innocent shroud. This system uses the ideas of cryptography and steganography to make the data more secure. Using an encryption technique that is resilient to various attacks over time is essential for improving the cryptography portion of the system. The paper's goal is to provide an overview and evaluation of each approach's various algorithms using several metrics, including PSNR, MSE, BER, and NC.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141099520","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 : 2024-05-24DOI: 10.47392/irjaeh.2024.0201
Mehak Singla
In the present study, B and N atoms are co-doped with Au atom in graphene nanoribbons and has been analysed for hydrogen molecule interaction with the aid of Density Functional Theory. A comparative analysis is carried out between N-AuG and B-AuG substrate towards H2 molecule. The structural as well as electronic properties of the optimized structures have been studied. Different theoretical parameters which include adsorption energy, charge redistribution, and bandgap analysis have been computed to determine the effectiveness of substrate.
在本研究中，B 原子和 N 原子与金原子共同掺杂在石墨烯纳米带中，并借助密度泛函理论分析了氢分子的相互作用。对 N-AuG 和 B-AuG 基底与氢分子的相互作用进行了比较分析。对优化结构的结构和电子特性进行了研究。计算了不同的理论参数，包括吸附能、电荷再分布和带隙分析，以确定衬底的有效性。
{"title":"Comparative Analysis of Hydrogen Molecule Interaction with B-Au and N-Au Co-Doped Graphene Nanoribbons: DFT Insights","authors":"Mehak Singla","doi":"10.47392/irjaeh.2024.0201","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0201","url":null,"abstract":"In the present study, B and N atoms are co-doped with Au atom in graphene nanoribbons and has been analysed for hydrogen molecule interaction with the aid of Density Functional Theory. A comparative analysis is carried out between N-AuG and B-AuG substrate towards H2 molecule. The structural as well as electronic properties of the optimized structures have been studied. Different theoretical parameters which include adsorption energy, charge redistribution, and bandgap analysis have been computed to determine the effectiveness of substrate.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"2 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141099377","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 work will implement an automated fault detection and monitoring system for streetlights in smart cities. The system will use smart streetlights with sensors, communication modules, and intelligent controllers to create a sensor network across the city. These sensors, like light intensity, motion, and temperature sensors, will collect real-time data on the status of street lights and the environment. The data will be analyzed by a centralized monitoring system that will use algorithms to detect abnormalities in the sensor data that may indicate faults or malfunctions in the street lighting infrastructure. GPS tracking technology will be used to pinpoint the location of each street light. An automated alert system will notify maintenance teams and city officials through a webpage if a fault is detected. The system will also use historical data to anticipate potential issues before they arise.The benefits of this system include improved energy efficiency, cost savings through timely maintenance, quick response times for fault resolution, and data-driven decisionmaking for urban planning. It will provide real-time information on the status of street lights and their environment, which can be used to optimize energy consumption and reduce costs. The system will also enable city officials to make data-driven decisions for urban planning. Ultimately, this system will help to create smarter and more sustainable cities by enhancing public safety, optimizing energy consumption, and ensuring the reliability of street lighting infrastructure. The system will provide a more efficient and costeffective approach to street lighting maintenance, leading to better services for citizens.
{"title":"Automated Fault Detection and Location Monitoring of Street Lights in Smart Cities","authors":"Pradeep R, Sobiya S, Nukala Kavya, Vuddanti Keshuvardhan","doi":"10.47392/irjaeh.2024.0198","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0198","url":null,"abstract":"This work will implement an automated fault detection and monitoring system for streetlights in smart cities. The system will use smart streetlights with sensors, communication modules, and intelligent controllers to create a sensor network across the city. These sensors, like light intensity, motion, and temperature sensors, will collect real-time data on the status of street lights and the environment. The data will be analyzed by a centralized monitoring system that will use algorithms to detect abnormalities in the sensor data that may indicate faults or malfunctions in the street lighting infrastructure. GPS tracking technology will be used to pinpoint the location of each street light. An automated alert system will notify maintenance teams and city officials through a webpage if a fault is detected. The system will also use historical data to anticipate potential issues before they arise.The benefits of this system include improved energy efficiency, cost savings through timely maintenance, quick response times for fault resolution, and data-driven decisionmaking for urban planning. It will provide real-time information on the status of street lights and their environment, which can be used to optimize energy consumption and reduce costs. The system will also enable city officials to make data-driven decisions for urban planning. Ultimately, this system will help to create smarter and more sustainable cities by enhancing public safety, optimizing energy consumption, and ensuring the reliability of street lighting infrastructure. The system will provide a more efficient and costeffective approach to street lighting maintenance, leading to better services for citizens.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"14 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141099463","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 : 2024-05-24DOI: 10.47392/irjaeh.2024.0208
Mr. Kundan. B, Dr. S. Pushpa
Diabetes-related retinal disease (DR) is the subject of the investigation. One of the main reasons why diabetic individuals become blind is diabetic retinopathy syndrome. DR is classified into two major types, first Non-Proliferative Diabetic Retinopathy (NPDR) and the second Proliferative Diabetic Retinopathy (PDR). The treatment can be given to the patients based on the neovascularization (Abnormal Blood Vessel Growth) in the retina. Early findings of neovascularization are much important. Based on this report only an optometrist can identify, whether if the patient comes under NPDR or PDR. NPDR is further classified into three stages, Mild NPDR, Moderate NPDR and Severe NPDR. The main causes of vision impairment in this group of patients are of concern. Early diagnosis, careful observation, and appropriate evidence-based management—which frequently involves several different health care disciplines and professions—are necessary for diabetes and diabetic retinopathy (DR). The one area of the body where physical damage to blood vessels brought on by systemic disorders can be seen noninvasively is treated and observed by an optometrist. This highlights how crucial it is to keep an eye on all diabetic patients and collaborate with endocrinologists or primary care physicians (PCPs) to properly manage these individuals. In the past, skilled professionals would treat patients by hand. However, with the rapid advancement of technology, diabetic retinopathy may now be treated digitally. A specialist can identify the more intricate characteristics of the eye and treat patients appropriately.
{"title":"A Study on the Patients Effected with Diabetic Retinopathy","authors":"Mr. Kundan. B, Dr. S. Pushpa","doi":"10.47392/irjaeh.2024.0208","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0208","url":null,"abstract":"Diabetes-related retinal disease (DR) is the subject of the investigation. One of the main reasons why diabetic individuals become blind is diabetic retinopathy syndrome. DR is classified into two major types, first Non-Proliferative Diabetic Retinopathy (NPDR) and the second Proliferative Diabetic Retinopathy (PDR). The treatment can be given to the patients based on the neovascularization (Abnormal Blood Vessel Growth) in the retina. Early findings of neovascularization are much important. Based on this report only an optometrist can identify, whether if the patient comes under NPDR or PDR. NPDR is further classified into three stages, Mild NPDR, Moderate NPDR and Severe NPDR. The main causes of vision impairment in this group of patients are of concern. Early diagnosis, careful observation, and appropriate evidence-based management—which frequently involves several different health care disciplines and professions—are necessary for diabetes and diabetic retinopathy (DR). The one area of the body where physical damage to blood vessels brought on by systemic disorders can be seen noninvasively is treated and observed by an optometrist. This highlights how crucial it is to keep an eye on all diabetic patients and collaborate with endocrinologists or primary care physicians (PCPs) to properly manage these individuals. In the past, skilled professionals would treat patients by hand. However, with the rapid advancement of technology, diabetic retinopathy may now be treated digitally. A specialist can identify the more intricate characteristics of the eye and treat patients appropriately.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"3 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141101023","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 : 2024-05-24DOI: 10.47392/irjaeh.2024.0200
Aditi Priyadarshini, Kumar Nikhil, K. P. Tiwary
CdS/CdTe based photovoltaic cell has shown the markable efficiency. The CdS/CdTe nanoparticles are being synthesized and deposited on the ITO glass plate. ITO glass has a large bandgap of about approximately 3.6 eV and is suitable to use in the fabrication of photovoltaic cell. As ITO behaves as negative terminal, it is used as front layer for capturing the light intensity. During fabrication of photovoltaic cell, the deposition of Cadmium sulphide and Cadmium telluride nanoparticles layer was done by brush painting technique. The CdS layer is used as window layer and CdTe acts as absorbing layer. The window layer’s primary function is to absorb light particularly in the visible region of the spectrum to generate electricity. The CdS layer forms p-n junction with the CdTe layer. The nanoparticles of CdS and CdTe have been synthesized first and optical characterization was carried out using UV-visible spectroscopy to obtain bandgap of CdTe and CdS. Structural characterization was being obtained by XRD. The size of the nanocrystallites of CdS and CdTe have been obtained by Debye Scherrer equation and the result was 1.64 nm and 4.09 nm respectively. The CdTe layer which was used as absorbing layer consists of high optical absorption coefficient with high mobility, good carrier lifetime and an enhanced properties of crystallographic. Silver paste was used as a back contact for good conduction.
{"title":"Photovoltaic Cell Prepared from Nanoparticles of CdS/CdTe on ITO Substrate and its Characterization","authors":"Aditi Priyadarshini, Kumar Nikhil, K. P. Tiwary","doi":"10.47392/irjaeh.2024.0200","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0200","url":null,"abstract":"CdS/CdTe based photovoltaic cell has shown the markable efficiency. The CdS/CdTe nanoparticles are being synthesized and deposited on the ITO glass plate. ITO glass has a large bandgap of about approximately 3.6 eV and is suitable to use in the fabrication of photovoltaic cell. As ITO behaves as negative terminal, it is used as front layer for capturing the light intensity. During fabrication of photovoltaic cell, the deposition of Cadmium sulphide and Cadmium telluride nanoparticles layer was done by brush painting technique. The CdS layer is used as window layer and CdTe acts as absorbing layer. The window layer’s primary function is to absorb light particularly in the visible region of the spectrum to generate electricity. The CdS layer forms p-n junction with the CdTe layer. The nanoparticles of CdS and CdTe have been synthesized first and optical characterization was carried out using UV-visible spectroscopy to obtain bandgap of CdTe and CdS. Structural characterization was being obtained by XRD. The size of the nanocrystallites of CdS and CdTe have been obtained by Debye Scherrer equation and the result was 1.64 nm and 4.09 nm respectively. The CdTe layer which was used as absorbing layer consists of high optical absorption coefficient with high mobility, good carrier lifetime and an enhanced properties of crystallographic. Silver paste was used as a back contact for good conduction.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"5 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141101126","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 : 2024-05-24DOI: 10.47392/irjaeh.2024.0204
Om Prakash Singh, Dr. Manoj E. Patil
Understanding the esotericism of human instinct in their daily life conversation is not enough then a mystery now. This is a bundle of ambiguity, vagueness, fuzziness, uncertainty, possibility and probability as a wrap that humans have built around themselves. With the advancement in artificial Intelligence, natural language processing is more capable now to work with real world and performing intelligent analysises. The real world has interactions between natural and artificial intelligent systems. Despite all it, humans retained their superiority over artificial intelligent systems. The fuzzy Logic can play an important computational role in understanding this intelligence gap in clear dimensions. Logical Semantics, Distributional Semantics and Probabilistic Logic are focused on their intention for better natural language semantic representations. But no single semantic representation fulfills all requirements needed for a satisfactory representation. The objective of the present work has two folds. The first one focused on the understanding of fuzzy logic in two dimensions as an intelligence computational technique and another as mathematical modeling of natural language semantics. The second fold illustrates this intelligence gap with real world examples of natural language processing applications such as Google and Microsoft Translator.
{"title":"Analysis of Ambiguity, Vagueness, Fuzziness, Uncertainty, Possibility and Probability in the Natural Language Semantics with Fuzzy Logic","authors":"Om Prakash Singh, Dr. Manoj E. Patil","doi":"10.47392/irjaeh.2024.0204","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0204","url":null,"abstract":"Understanding the esotericism of human instinct in their daily life conversation is not enough then a mystery now. This is a bundle of ambiguity, vagueness, fuzziness, uncertainty, possibility and probability as a wrap that humans have built around themselves. With the advancement in artificial Intelligence, natural language processing is more capable now to work with real world and performing intelligent analysises. The real world has interactions between natural and artificial intelligent systems. Despite all it, humans retained their superiority over artificial intelligent systems. The fuzzy Logic can play an important computational role in understanding this intelligence gap in clear dimensions. Logical Semantics, Distributional Semantics and Probabilistic Logic are focused on their intention for better natural language semantic representations. But no single semantic representation fulfills all requirements needed for a satisfactory representation. The objective of the present work has two folds. The first one focused on the understanding of fuzzy logic in two dimensions as an intelligence computational technique and another as mathematical modeling of natural language semantics. The second fold illustrates this intelligence gap with real world examples of natural language processing applications such as Google and Microsoft Translator.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"5 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141099356","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 : 2024-05-24DOI: 10.47392/irjaeh.2024.0206
Mrs Supriya Shree, Riddhi Arya, Saket Kumar Roy
The world of artificial intelligence is constantly changing, with Generative AI and Large Language Models (LLMs) leading the way in bringing new technological advancements. This paper offers a detailed look at these groundbreaking technologies and how they are shaping the digital world today. We explore the technical aspects of Generative AI and LLMs, explain their unique features, and compare them to traditional AI models.One of the key focuses of our research is the growing issue of DeepFakes—artificial intelligence-generated media that presents a significant challenge in verifying content. We conduct a thorough examination of few deepfake detection techniques out of which we will be implementing and analyzing one of them. Our research implements a framework for Deep Fake Image Detection. The suggested solution utilizes a RESNET-50(Residual Network with 50 layers) and MTCNN (Multi-task Cascaded Convolutional Networks) models for detecting whether the images are real or fake. This study conducts the Hypothesis testing for the proposed solution taking in consideration that the current Deepfake detection algorithms are less effective in detecting highly realistic Deepfakes compared to less sophisticated manipulations. By investigating the convergence of deep learning, neural networks, and sophisticated algorithms, we set the stage for advancements in AI-based content verification.
{"title":"Investigating the Evolving Landscape of Deepfake Technology: Generative AI's Role in it's Generation and Detection","authors":"Mrs Supriya Shree, Riddhi Arya, Saket Kumar Roy","doi":"10.47392/irjaeh.2024.0206","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0206","url":null,"abstract":"The world of artificial intelligence is constantly changing, with Generative AI and Large Language Models (LLMs) leading the way in bringing new technological advancements. This paper offers a detailed look at these groundbreaking technologies and how they are shaping the digital world today. We explore the technical aspects of Generative AI and LLMs, explain their unique features, and compare them to traditional AI models.One of the key focuses of our research is the growing issue of DeepFakes—artificial intelligence-generated media that presents a significant challenge in verifying content. We conduct a thorough examination of few deepfake detection techniques out of which we will be implementing and analyzing one of them. Our research implements a framework for Deep Fake Image Detection. The suggested solution utilizes a RESNET-50(Residual Network with 50 layers) and MTCNN (Multi-task Cascaded Convolutional Networks) models for detecting whether the images are real or fake. This study conducts the Hypothesis testing for the proposed solution taking in consideration that the current Deepfake detection algorithms are less effective in detecting highly realistic Deepfakes compared to less sophisticated manipulations. By investigating the convergence of deep learning, neural networks, and sophisticated algorithms, we set the stage for advancements in AI-based content verification.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"1 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141099727","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 IoT-Based crop monitoring System is a cutting-edge solution designed to enhance agricultural productivity and efficiency by utilizing sensor technology and automation. The core objective is to automate the irrigation process based on real-time soil moisture data. The systememploysanESP8266 module to facilitate the seamless exchange of data between various sensors and Firebase, a real-time cloud database. This interconnected system comprises two primary fields, each equipped with soil and soil moisture sensors, temperature sensors, smoke detectors, UV light, buzzer, solenoid valves, and mini water pump. The ESP8266 module serves as the central hub for collecting data from the sensors and transmitting it to the Firebase database. The data includes crucial information such as soil moisture levels, temperature, smoke detection, and UV light intensity. Furthermore, the system integrates alarm functionality through the buzzer and precise irrigation control via the solenoid valve and mini water pump. The data stored in Firebase is accessible through a web application built using React.js and Node.js. This web interface provides users with a graphical representation of the gathered data, allowing them to monitor the agricultural conditions in real-time. The main key features are Data Visualization in which users can remotely monitor soil moisture levels and receive real-time updates on crop conditions through a web application. Resource Efficiency by automating irrigation, this model optimizes water usage, reducing waste and improving water conservation. This paper not only showcases the integration of IoT technology in agriculture but also serves as a practical and environmentally responsible solution for modern farming practices.
{"title":"IoT Based Crop Monitoring System","authors":"Adesh Kawre, Vedant Bulbule, Harshal Kherde, Shreyash Chavan, Ayush Barapatre, Mrs. Pragati Budhe","doi":"10.47392/irjaeh.2024.0197","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0197","url":null,"abstract":"The IoT-Based crop monitoring System is a cutting-edge solution designed to enhance agricultural productivity and efficiency by utilizing sensor technology and automation. The core objective is to automate the irrigation process based on real-time soil moisture data. The systememploysanESP8266 module to facilitate the seamless exchange of data between various sensors and Firebase, a real-time cloud database. This interconnected system comprises two primary fields, each equipped with soil and soil moisture sensors, temperature sensors, smoke detectors, UV light, buzzer, solenoid valves, and mini water pump. The ESP8266 module serves as the central hub for collecting data from the sensors and transmitting it to the Firebase database. The data includes crucial information such as soil moisture levels, temperature, smoke detection, and UV light intensity. Furthermore, the system integrates alarm functionality through the buzzer and precise irrigation control via the solenoid valve and mini water pump. The data stored in Firebase is accessible through a web application built using React.js and Node.js. This web interface provides users with a graphical representation of the gathered data, allowing them to monitor the agricultural conditions in real-time. The main key features are Data Visualization in which users can remotely monitor soil moisture levels and receive real-time updates on crop conditions through a web application. Resource Efficiency by automating irrigation, this model optimizes water usage, reducing waste and improving water conservation. This paper not only showcases the integration of IoT technology in agriculture but also serves as a practical and environmentally responsible solution for modern farming practices.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"12 51","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141098484","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 : 2024-05-24DOI: 10.47392/irjaeh.2024.0202
Raswanth S S, Roshan M, Sanjit S, Dr. Suresh P
Our initiative aims to transform the online shopping experience and the fashion business by improving virtual try-on technology. Utilizing cutting-edge technologies like Graphonomy, Generative Adversarial Networks (GANs), and the U2 Net architecture, we suggest a Virtual Try-On Network (VTON) that provides incredibly lifelike and customized virtual clothing, accessories, and cosmetics based on each user's distinct facial features and body type. The smooth overlay of virtual products over user photos, accurate body posture capture, and exact garment segmentation are all made possible by the integration of these technologies. Our approach exhibits better performance than current methods, providing improved fit accuracy, visual fidelity, and user happiness, as proven by thorough testing and review. In the constantly changing world of digital retail, our project not only solves the shortcomings of conventional try-on techniques but also creates new opportunities for tailored shopping experiences and increased sales.
我们的倡议旨在通过改进虚拟试穿技术，改变网上购物体验和时尚行业。利用图形学、生成对抗网络（GANs）和 U2 Net 架构等尖端技术，我们提出了虚拟试穿网络（VTON）的建议，该网络可根据每个用户的面部特征和体型，提供无比逼真的定制虚拟服装、配饰和化妆品。这些技术的集成使虚拟产品与用户照片的平滑叠加、精确的身体姿态捕捉和准确的服装分割成为可能。通过全面的测试和审查，我们的方法比目前的方法表现出更好的性能，提供了更高的合身准确度、视觉保真度和用户满意度。在不断变化的数字零售世界中，我们的项目不仅解决了传统试穿技术的不足，还为量身定制的购物体验和提高销售额创造了新的机遇。
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