Pub Date : 2024-06-07DOI: 10.47392/irjaeh.2024.0214
Manjunath N K, N. Jayaramappa, Akshatha K V
A particular concrete grade is frequently used in traditional concrete building, with strength and its durability being the main priorities. In order to understand it’s impact on structural performance as well as visual appeal, this project tests several grades of concrete within a structural element, challenging the traditional method. Higher grade mixtures, like M60, have merits in terms of enhanced strength and durability, while lower grade mixes could be appropriate for some applications. Considering the bottom concrete zone in high-strength reinforced concrete beams primarily struggles tension, supported by reinforcement, while the upper zone suffers compression, the concrete in the bottom zone is not obliged to be equally strong as that of the top zone. Three totally different concrete grades, Low strength concrete (LSC) M10, Normal strength concrete (NSC) M20 and High strength concrete (HSC) M60 have been analyzed in this study. The compressive, flexural, and split tensile strengths of NSC, LSC, and HSC concrete have been investigated distinctly for each concrete grade as well as their combinations such as 1/3 NSC at the bottom and 2/3 HSC at the top and vice versa, 1/3 HSC from the top, 1/3 NSC from the bottom of the soffit, and the remaining 1/3 LSC at the center using cubes, prisms, and cylinders, respectively. The research also focused on the characteristic features of concrete's durability, such as the depth of chlorine penetration and water absorption. The acquired results improve our understanding of the mechanical and durability characteristics of the concrete by recommending a phased casting approach that makes use of many grades of concrete.
{"title":"Feasibility Study on Properties of Multi Layered Concrete Elements","authors":"Manjunath N K, N. Jayaramappa, Akshatha K V","doi":"10.47392/irjaeh.2024.0214","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0214","url":null,"abstract":"A particular concrete grade is frequently used in traditional concrete building, with strength and its durability being the main priorities. In order to understand it’s impact on structural performance as well as visual appeal, this project tests several grades of concrete within a structural element, challenging the traditional method. Higher grade mixtures, like M60, have merits in terms of enhanced strength and durability, while lower grade mixes could be appropriate for some applications. Considering the bottom concrete zone in high-strength reinforced concrete beams primarily struggles tension, supported by reinforcement, while the upper zone suffers compression, the concrete in the bottom zone is not obliged to be equally strong as that of the top zone. Three totally different concrete grades, Low strength concrete (LSC) M10, Normal strength concrete (NSC) M20 and High strength concrete (HSC) M60 have been analyzed in this study. The compressive, flexural, and split tensile strengths of NSC, LSC, and HSC concrete have been investigated distinctly for each concrete grade as well as their combinations such as 1/3 NSC at the bottom and 2/3 HSC at the top and vice versa, 1/3 HSC from the top, 1/3 NSC from the bottom of the soffit, and the remaining 1/3 LSC at the center using cubes, prisms, and cylinders, respectively. The research also focused on the characteristic features of concrete's durability, such as the depth of chlorine penetration and water absorption. The acquired results improve our understanding of the mechanical and durability characteristics of the concrete by recommending a phased casting approach that makes use of many grades of concrete.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":" 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141371485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-07DOI: 10.47392/irjaeh.2024.0217
Chaitanya A. Kulkarni, Mahadev S. Patil
The most frequent reasons for arc faults are electrical problems, such as outdated wiring and bad connections. Electrical fires are caused by arc faults because they release molten metal and produce high temperatures. These kinds of flames result in a great quantity of loss and disaster each year. A novel approach to identifying residential series and parallel arc faults is presented in this research. To simulate arc failures in series and parallel circuits, an arc simulation model is used. The fault detection algorithm is then used to develop the Discrete Wavelet Transform (DWT) signal processing technique in MATLAB/Simulink, which is used to obtain the fault features. Next, it was discovered that db2 and one level of the wavelet transform were the proper mothers and levels for extracting arc-fault features. MATLAB Simulink was utilized to construct and model
{"title":"Auto Encoder and DWT for Arc Fault Prediction in Electrical Systems","authors":"Chaitanya A. Kulkarni, Mahadev S. Patil","doi":"10.47392/irjaeh.2024.0217","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0217","url":null,"abstract":"The most frequent reasons for arc faults are electrical problems, such as outdated wiring and bad connections. Electrical fires are caused by arc faults because they release molten metal and produce high temperatures. These kinds of flames result in a great quantity of loss and disaster each year. A novel approach to identifying residential series and parallel arc faults is presented in this research. To simulate arc failures in series and parallel circuits, an arc simulation model is used. The fault detection algorithm is then used to develop the Discrete Wavelet Transform (DWT) signal processing technique in MATLAB/Simulink, which is used to obtain the fault features. Next, it was discovered that db2 and one level of the wavelet transform were the proper mothers and levels for extracting arc-fault features. MATLAB Simulink was utilized to construct and model","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":" 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141371769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-07DOI: 10.47392/irjaeh.2024.0213
B. Shireesha, M. Vinitha, P.Vengal Rao, B.Swathi, Asst Prfoessor
In our project, we use fancy computer tricks to transform pictures into cool sketches, making the lines and edges stand out. But here's the fun part – we don't stop there! We add a dash of color to specific parts of the sketch, making those parts pop with vibrant hues. It's like creating your own unique artwork, where you decide which parts get splashes of color. First, we make a grayscale sketch that looks like it was drawn with a pencil. Then, we make it even cooler by choosing where to put bright colors. You can pick the colors you like, making it your very own masterpiece. Our project is all about making your photos extra special by mixing the charm of pencil art with the excitement of playing with colors. It's like adding a touch of magic to your pictures, turning them into colorful pencil wonders.
{"title":"Image Transformation Through Pencil Art Rendering and Selective Colorization","authors":"B. Shireesha, M. Vinitha, P.Vengal Rao, B.Swathi, Asst Prfoessor","doi":"10.47392/irjaeh.2024.0213","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0213","url":null,"abstract":"In our project, we use fancy computer tricks to transform pictures into cool sketches, making the lines and edges stand out. But here's the fun part – we don't stop there! We add a dash of color to specific parts of the sketch, making those parts pop with vibrant hues. It's like creating your own unique artwork, where you decide which parts get splashes of color. First, we make a grayscale sketch that looks like it was drawn with a pencil. Then, we make it even cooler by choosing where to put bright colors. You can pick the colors you like, making it your very own masterpiece. Our project is all about making your photos extra special by mixing the charm of pencil art with the excitement of playing with colors. It's like adding a touch of magic to your pictures, turning them into colorful pencil wonders.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":" 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141374650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-07DOI: 10.47392/irjaeh.2024.0212
B. Kala, D. Arulanantham
In harsh environments such as space, radiation and charged particles cause Single-Event and Multi-bit Effects, faults occurring randomly on any electronic component. These must be mitigated to ensure device functionality. Modern mitigation methods, such as triple modular redundancy, are very effective against Single Event Transients (SETs), but incur a minimum of 3× cost in area. Single-Event Upsets (SEUs) affect sequential elements and are regularly repaired using memory scrubbing. Scrubbing is a slow serial process, going through every memory word looking for errors to repair. It involves a non-negligible Time to Detect (TTD) before repair, during which other events can occur and compromise the system. Field Programmable Gate Arrays (FPGAs) rely heavily on sequential elements to store their configuration; thus, FPGA’s SEU detection time is critical to ensuring design integrity in harsh conditions. It is required a robust error correction code (ECC) to protect electronic devices from MCUs. The proposed work describes the conception, implementation and evaluation of new algorithm using matrix code for the detection and correction of multiple errors in FPGA configuration memories. The combined architecture with multiple bit segment with parity bits helps in locating and correcting double-triple bit errors. The proposed Method allows asynchronous MEU detection and replaces scrubbing variable time to detect with a fixed TTD. The IMECCC based on Matrix code reduces FPGA’s TTD compared to existing method.
{"title":"Multi-Bit Error Resilient FPGA Cram with Minimum TTD","authors":"B. Kala, D. Arulanantham","doi":"10.47392/irjaeh.2024.0212","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0212","url":null,"abstract":"In harsh environments such as space, radiation and charged particles cause Single-Event and Multi-bit Effects, faults occurring randomly on any electronic component. These must be mitigated to ensure device functionality. Modern mitigation methods, such as triple modular redundancy, are very effective against Single Event Transients (SETs), but incur a minimum of 3× cost in area. Single-Event Upsets (SEUs) affect sequential elements and are regularly repaired using memory scrubbing. Scrubbing is a slow serial process, going through every memory word looking for errors to repair. It involves a non-negligible Time to Detect (TTD) before repair, during which other events can occur and compromise the system. Field Programmable Gate Arrays (FPGAs) rely heavily on sequential elements to store their configuration; thus, FPGA’s SEU detection time is critical to ensuring design integrity in harsh conditions. It is required a robust error correction code (ECC) to protect electronic devices from MCUs. The proposed work describes the conception, implementation and evaluation of new algorithm using matrix code for the detection and correction of multiple errors in FPGA configuration memories. The combined architecture with multiple bit segment with parity bits helps in locating and correcting double-triple bit errors. The proposed Method allows asynchronous MEU detection and replaces scrubbing variable time to detect with a fixed TTD. The IMECCC based on Matrix code reduces FPGA’s TTD compared to existing method.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":" 31","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141370987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-07DOI: 10.47392/irjaeh.2024.0216
Deepak Kumar Mohapatra, Pragyan Paramita Mohanty
The work highlights weld quality as a gauge of weld performance and examines the impact of rotational speed on friction stir-welded (FSWED) AA2024 and AA6082 alloys using square tool. Utilizing Square stir tool of shoulder and pin diameters of 20 mm and 7 mm, respectively, both alloys (6 mm thick) were joint. Using varying rotational speeds—1000, 1400, and 2000 rpm—specimens were welded at a specified tool traverse speed of 25 mm/min. Both Flexural Strength and tensile strength were strongly impacted by variations in parameters. Maximum Tensile and Flexural strengths obtained at 1000 RPM and 20mm.min i.e. 143.43 MPa and 282.17 MPa respectively.
{"title":"Effect of Friction Welding Conditions on Mechanical Properties of AA6082-AA2024 Joint","authors":"Deepak Kumar Mohapatra, Pragyan Paramita Mohanty","doi":"10.47392/irjaeh.2024.0216","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0216","url":null,"abstract":"The work highlights weld quality as a gauge of weld performance and examines the impact of rotational speed on friction stir-welded (FSWED) AA2024 and AA6082 alloys using square tool. Utilizing Square stir tool of shoulder and pin diameters of 20 mm and 7 mm, respectively, both alloys (6 mm thick) were joint. Using varying rotational speeds—1000, 1400, and 2000 rpm—specimens were welded at a specified tool traverse speed of 25 mm/min. Both Flexural Strength and tensile strength were strongly impacted by variations in parameters. Maximum Tensile and Flexural strengths obtained at 1000 RPM and 20mm.min i.e. 143.43 MPa and 282.17 MPa respectively.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":" 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141374040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-07DOI: 10.47392/irjaeh.2024.0215
Sandeep Yadav, Sanjay Mishra
Natural fibers, which are usually discarded as agricultural waste, have a significant potential to serve as reinforcements. This paper investigates the mechanical properties of polymer composites reinforced with natural fibers like flax, hemp, and jute. Epoxy resin is used to make the matrix, and the composites were fabricated using the hand lay-up technique. Mechanical characterization of the fabricated composites reveals that hemp-reinforced natural polymers have better tensile and flexural strength compared to other jute- and flax-reinforced composites. Composites containing Jute/ Epoxy (S1) and hemp/ epoxy (S2) show the same amount of absorbed impact energy. A natural composite reinforced with hemp absorbed the maximum water.
{"title":"Fabrication and Mechanical Characterization of Natural Fiber-Reinforced Polymer Composites","authors":"Sandeep Yadav, Sanjay Mishra","doi":"10.47392/irjaeh.2024.0215","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0215","url":null,"abstract":"Natural fibers, which are usually discarded as agricultural waste, have a significant potential to serve as reinforcements. This paper investigates the mechanical properties of polymer composites reinforced with natural fibers like flax, hemp, and jute. Epoxy resin is used to make the matrix, and the composites were fabricated using the hand lay-up technique. Mechanical characterization of the fabricated composites reveals that hemp-reinforced natural polymers have better tensile and flexural strength compared to other jute- and flax-reinforced composites. Composites containing Jute/ Epoxy (S1) and hemp/ epoxy (S2) show the same amount of absorbed impact energy. A natural composite reinforced with hemp absorbed the maximum water.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":" 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141370850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-05DOI: 10.47392/irjaeh.2024.0211
Arunachalam V, Chitra S, Lakshmi K
The brain serves as the central control centre for our body, and as time progresses, an increasing number of new brain diseases are being identified. A brain disease is any medical problem or disorder that interferes with the brain's normal functioning. This review briefs about various types of deep learning models for neurological disorders, in addition to neurodegenerative conditions like Parkinson's and Alzheimer's. In addition to various dataset identifiers commonly used as the primary source of brain disease data in the reviewed studies, forty other methodologies are examined. AUC, sensitivity, specificity, accuracy, and other performance evaluation parameters have also been addressed and recorded. The key findings from the reviewed articles are briefly summarized, and several major issues regarding machine learning and deep learning-based diagnostic approaches for brain diseases are discussed.
{"title":"Certain Studies on Alzheimer's disease: A Comprehensive Review","authors":"Arunachalam V, Chitra S, Lakshmi K","doi":"10.47392/irjaeh.2024.0211","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0211","url":null,"abstract":"The brain serves as the central control centre for our body, and as time progresses, an increasing number of new brain diseases are being identified. A brain disease is any medical problem or disorder that interferes with the brain's normal functioning. This review briefs about various types of deep learning models for neurological disorders, in addition to neurodegenerative conditions like Parkinson's and Alzheimer's. In addition to various dataset identifiers commonly used as the primary source of brain disease data in the reviewed studies, forty other methodologies are examined. AUC, sensitivity, specificity, accuracy, and other performance evaluation parameters have also been addressed and recorded. The key findings from the reviewed articles are briefly summarized, and several major issues regarding machine learning and deep learning-based diagnostic approaches for brain diseases are discussed.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"45 42","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141384397","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}
Lung cancer is a leading cause of cancer-related mortality globally, emphasizing the urgent need for early detection and accurate diagnosis. This project aims to leverage advanced deep learning techniques, specifically YOLO-v5 (You Only Look Once) for object detection, and the k-Nearest Neighbors (kNN) algorithm for unsupervised learning, to enhance the detection and analysis of lung cancer from CT scan images. YOLO-v5, known for its exceptional speed and accuracy in detecting objects within images, will be used to identify and localize lung nodules, which are potential indicators of lung cancer. Simultaneously, we will employ the kNN algorithm in a novel application of unsupervised learning to cluster CT scan images based on the similarity of detected lung tumors, enabling the identification of patterns and characteristics that may correlate with specific types of lung cancer. This project involves collecting and preprocessing a diverse dataset of CT images annotated with radiologist insights to train the YOLO-v5 model. Subsequently, the kNN algorithm will be applied to perform clustering on the detected tumors. By achieving high accuracy in nodule detection and effectively clustering similar tumors, the system aims to become an invaluable tool for radiologists, providing rapid diagnostic assistance and facilitating a deeper understanding of lung cancer characteristics.
{"title":"Integrating Yolo V5 Analysis and KNN to Improve Lung Cancer Detection","authors":"G.Sandhya Kumari, Kavya Angeri, Thukivakam Muni Dhanalakshimi, Ganapa Keerthi, Samanuru Manoj Lakshmi Varma, Darji Narendra Babu","doi":"10.47392/irjaeh.2024.0207","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0207","url":null,"abstract":"Lung cancer is a leading cause of cancer-related mortality globally, emphasizing the urgent need for early detection and accurate diagnosis. This project aims to leverage advanced deep learning techniques, specifically YOLO-v5 (You Only Look Once) for object detection, and the k-Nearest Neighbors (kNN) algorithm for unsupervised learning, to enhance the detection and analysis of lung cancer from CT scan images. YOLO-v5, known for its exceptional speed and accuracy in detecting objects within images, will be used to identify and localize lung nodules, which are potential indicators of lung cancer. Simultaneously, we will employ the kNN algorithm in a novel application of unsupervised learning to cluster CT scan images based on the similarity of detected lung tumors, enabling the identification of patterns and characteristics that may correlate with specific types of lung cancer. This project involves collecting and preprocessing a diverse dataset of CT images annotated with radiologist insights to train the YOLO-v5 model. Subsequently, the kNN algorithm will be applied to perform clustering on the detected tumors. By achieving high accuracy in nodule detection and effectively clustering similar tumors, the system aims to become an invaluable tool for radiologists, providing rapid diagnostic assistance and facilitating a deeper understanding of lung cancer characteristics.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"7 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141099856","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 proliferation of counterfeit money poses a significant threat to financial systems and economies worldwide. To solve this problem, advanced technological solutions have emerged, such as the counterfeit money detection system “FCDS”. The system leverages advanced image processing, machine learning and data analysis techniques to identify counterfeit bills accurately and effectively [1]. FCDS works by analyzing various security features found on legal tender, including watermarks, security chains, holograms and microprinting. Using image recognition and pattern analysis, the system distinguishes between real and fake money. Machine learning algorithms play a central role in training systems to recognize the subtle nuances that counterfeiters try to reproduce. FCDS can be deployed in a variety of contexts, from banks and financial institutions to retail businesses, providing a robust and scalable solution to combat counterfeiting [1]. By quickly identifying fraudulent notes, it helps prevent economic loss and maintain the integrity of financial transactions. This summary describes the nature of counterfeit currency detection systems and its importance in maintaining financial security and confidence. Its integration into modern banking and commerce systems represents an important step towards a counterfeit-proof financial ecosystem.
{"title":"Verinote - Fake Currency Detection Using Convolutional Neural Network","authors":"Sreejit Nair, Farhan Shaikh, Elrich Thomas, Mizan Shaikh, Mrs. Priyanka Sherkhane","doi":"10.47392/irjaeh.2024.0205","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0205","url":null,"abstract":"The proliferation of counterfeit money poses a significant threat to financial systems and economies worldwide. To solve this problem, advanced technological solutions have emerged, such as the counterfeit money detection system “FCDS”. The system leverages advanced image processing, machine learning and data analysis techniques to identify counterfeit bills accurately and effectively [1]. FCDS works by analyzing various security features found on legal tender, including watermarks, security chains, holograms and microprinting. Using image recognition and pattern analysis, the system distinguishes between real and fake money. Machine learning algorithms play a central role in training systems to recognize the subtle nuances that counterfeiters try to reproduce. FCDS can be deployed in a variety of contexts, from banks and financial institutions to retail businesses, providing a robust and scalable solution to combat counterfeiting [1]. By quickly identifying fraudulent notes, it helps prevent economic loss and maintain the integrity of financial transactions. This summary describes the nature of counterfeit currency detection systems and its importance in maintaining financial security and confidence. Its integration into modern banking and commerce systems represents an important step towards a counterfeit-proof financial ecosystem.","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":"141100510","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.2024.0203
Ms. Banti Kumari, Ms. Kanika Jindal, Mr. Amit Bindal
The most crucial component of serial communication is a microcircuit called a universal asynchronous receiver/transmitter (UART). Receive-transmitter asynchronous technology is known as UART, and it is widely used for device-to-device communication protocols. Using asynchronous serial communication at a speed that can be adjusted. A hardware communication technique called UART Asynchronous conditions occur when the output of the transmitting device and the receiving end are not in sync with a clock. In UART, receiving a signal is known as RxD, and transmitting a signal is known as TxD. In comparison to the existing conventional UART design, we were able to reduce delay by 29% and power usage by 33% using our approach. The effectiveness of the novel UART design is noticed with the reduction in delay and power consumption. Synthesis and simulation are done in Xilinx ISE and Modelsim and Verilog HDL is used to implement a unique UART design.
{"title":"Design and Implementation of Verilog Based High Speed Low Power UART","authors":"Ms. Banti Kumari, Ms. Kanika Jindal, Mr. Amit Bindal","doi":"10.47392/irjaeh.2024.0203","DOIUrl":"https://doi.org/10.47392/irjaeh.2024.0203","url":null,"abstract":"The most crucial component of serial communication is a microcircuit called a universal asynchronous receiver/transmitter (UART). Receive-transmitter asynchronous technology is known as UART, and it is widely used for device-to-device communication protocols. Using asynchronous serial communication at a speed that can be adjusted. A hardware communication technique called UART Asynchronous conditions occur when the output of the transmitting device and the receiving end are not in sync with a clock. In UART, receiving a signal is known as RxD, and transmitting a signal is known as TxD. In comparison to the existing conventional UART design, we were able to reduce delay by 29% and power usage by 33% using our approach. The effectiveness of the novel UART design is noticed with the reduction in delay and power consumption. Synthesis and simulation are done in Xilinx ISE and Modelsim and Verilog HDL is used to implement a unique UART design.","PeriodicalId":517766,"journal":{"name":"International Research Journal on Advanced Engineering Hub (IRJAEH)","volume":"2 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141101334","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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