Pub Date : 2024-07-31DOI: 10.22214/ijraset.2024.63724
Vaddi Hari Chandana
Abstract: Now a days security is the prime part for both, the satellites communication of the electronics data and the stored data, hence encryption is important for information processing system and communication network. The proposed approach is easy to learn due the use of speed efficient Vedic multiplier. Since it minimizes the execution time and area, so the delay and power consumption is further decrease by the compact and flexible approach in the Mix column transform which takes different approach rather than conventional multiplication previously. The structure style of modeling helps to easy understandable the proposed design of algorithm. BFV is the symmetrical has designed and verified in the Verilog HDL in Xilinx tool. In this project we present using kogge-stone adder and Vedic multiplier.
{"title":"Design and Implementation of Encryption/ Decryption Architectures for BFV Homomorphic Encryption Scheme","authors":"Vaddi Hari Chandana","doi":"10.22214/ijraset.2024.63724","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63724","url":null,"abstract":"Abstract: Now a days security is the prime part for both, the satellites communication of the electronics data and the stored data, hence encryption is important for information processing system and communication network. The proposed approach is easy to learn due the use of speed efficient Vedic multiplier. Since it minimizes the execution time and area, so the delay and power consumption is further decrease by the compact and flexible approach in the Mix column transform which takes different approach rather than conventional multiplication previously. The structure style of modeling helps to easy understandable the proposed design of algorithm. BFV is the symmetrical has designed and verified in the Verilog HDL in Xilinx tool. In this project we present using kogge-stone adder and Vedic multiplier.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"27 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795095","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 : 2024-07-31DOI: 10.22214/ijraset.2024.63541
K. Ragini
Abstract: This paper addresses the critical need for early and accurate diagnosis of skin cancer, a prevalent global health concern. Recognizing the challenges posed by prolonged waiting times and subjective evaluations in clinical set things, the study focuses on leveraging deep learning techniques to enhance skin disease classification and detection. The research confronts the inherent class imbalance issue, where the number of affected classes is notably lower than the healthy class and strives to elucidate the decision-making processes employed by the models. The authors suggest a comprehensive smart healthcare system implemented through an Android application from start to finish. Evaluating the effectiveness of the proposed deep learning technique, the study utilizes ResNet50, DenseNet169, VGG16, Xception, and DenseNet201 for classification, with Xception achieving a notable 96% accuracy. Additionally, YoloV5, YoloV6, YoloV7, and YoloV8 models are employed for skin lesion detection. Notably, ResNet50 attains a commendable 90% training accuracy, while Xception demonstrates potential for further performance enhancement. This comprehensive exploration of diverse models and techniques contributes to advancing skin cancer diagnosis, emphasizing the importance of accuracy in patient outcomes.
{"title":"Intelligent Skin Cancer Detection with Preliminary Diagnosis using CNN","authors":"K. Ragini","doi":"10.22214/ijraset.2024.63541","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63541","url":null,"abstract":"Abstract: This paper addresses the critical need for early and accurate diagnosis of skin cancer, a prevalent global health concern. Recognizing the challenges posed by prolonged waiting times and subjective evaluations in clinical set things, the study focuses on leveraging deep learning techniques to enhance skin disease classification and detection. The research confronts the inherent class imbalance issue, where the number of affected classes is notably lower than the healthy class and strives to elucidate the decision-making processes employed by the models. The authors suggest a comprehensive smart healthcare system implemented through an Android application from start to finish. Evaluating the effectiveness of the proposed deep learning technique, the study utilizes ResNet50, DenseNet169, VGG16, Xception, and DenseNet201 for classification, with Xception achieving a notable 96% accuracy. Additionally, YoloV5, YoloV6, YoloV7, and YoloV8 models are employed for skin lesion detection. Notably, ResNet50 attains a commendable 90% training accuracy, while Xception demonstrates potential for further performance enhancement. This comprehensive exploration of diverse models and techniques contributes to advancing skin cancer diagnosis, emphasizing the importance of accuracy in patient outcomes.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"27 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795099","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 : 2024-07-31DOI: 10.22214/ijraset.2024.63576
Praveen Kumar Singh
Abstract: This study investigates the taxonomic diversity and conservation status of endemic plant species in the Gangetic plains of Prayagraj. Field surveys and literature review identified 125 endemic plant species, distributed across 45 families and 78 genera. Assessment of their conservation status revealed that 30% of these species are threatened, with 15% categorized as critically endangered. The primary threats to these endemic plants include habitat loss due to urbanization and agricultural expansion, fragmentation, and anthropogenic pressures such as grazing and invasive species encroachment. Conservation efforts are urgently needed to mitigate these threats and ensure the preservation of the unique flora in the Gangetic plains of Prayagraj. Priority actions include habitat preservation, restoration initiatives, and community engagement to promote sustainable land use practices. This research provides valuable insights into the conservation priorities for endemic plant species in this region, serving as a foundation for future conservation strategies and biodiversity management efforts.
{"title":"The Taxonomic Diversity and Conservation Status of Endemic Plant Species in the Gangetic Plains of Prayagraj","authors":"Praveen Kumar Singh","doi":"10.22214/ijraset.2024.63576","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63576","url":null,"abstract":"Abstract: This study investigates the taxonomic diversity and conservation status of endemic plant species in the Gangetic plains of Prayagraj. Field surveys and literature review identified 125 endemic plant species, distributed across 45 families and 78 genera. Assessment of their conservation status revealed that 30% of these species are threatened, with 15% categorized as critically endangered. The primary threats to these endemic plants include habitat loss due to urbanization and agricultural expansion, fragmentation, and anthropogenic pressures such as grazing and invasive species encroachment. Conservation efforts are urgently needed to mitigate these threats and ensure the preservation of the unique flora in the Gangetic plains of Prayagraj. Priority actions include habitat preservation, restoration initiatives, and community engagement to promote sustainable land use practices. This research provides valuable insights into the conservation priorities for endemic plant species in this region, serving as a foundation for future conservation strategies and biodiversity management efforts.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795103","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 : 2024-07-31DOI: 10.22214/ijraset.2024.63703
Dr. Mirza Aamir Baig
Abstract: The investigates is basically on the Rheological and Mechanical properties of standard concrete by using Locally available Calcareous and Siliceous material and a comparative study is done for the rheological parameter for mixes with or without using superplasticizer. For rheological parameter, various mixes with water cement ratio of 0.45 and slump value of 120 mm were prepared for the experiment by replacing different percent as (0%,5%,10%,15%) of locally available material such as Metakaolin and tested with German based instrument ICAR Rheometer. Test on Rheometer is done to study flow property of concrete so that concrete mixes can be pumped to high rise building properly. As per the finding, as the metakaolin percentage were increased the static yield and dynamic yield stress decreases this indicate that it is easy to pump at higher blending. For mechanical properties, mixes were prepared and test Performed is compressive strength test. The findings of this experiment have important implication for construction industry basically in the high-rise structure
{"title":"Rheological and Mechanical Properties of Standard Concrete by using locally available Calcareous and Siliceous Material","authors":"Dr. Mirza Aamir Baig","doi":"10.22214/ijraset.2024.63703","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63703","url":null,"abstract":"Abstract: The investigates is basically on the Rheological and Mechanical properties of standard concrete by using Locally available Calcareous and Siliceous material and a comparative study is done for the rheological parameter for mixes with or without using superplasticizer. For rheological parameter, various mixes with water cement ratio of 0.45 and slump value of 120 mm were prepared for the experiment by replacing different percent as (0%,5%,10%,15%) of locally available material such as Metakaolin and tested with German based instrument ICAR Rheometer. Test on Rheometer is done to study flow property of concrete so that concrete mixes can be pumped to high rise building properly. As per the finding, as the metakaolin percentage were increased the static yield and dynamic yield stress decreases this indicate that it is easy to pump at higher blending. For mechanical properties, mixes were prepared and test Performed is compressive strength test. The findings of this experiment have important implication for construction industry basically in the high-rise structure","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"48 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795143","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 : 2024-07-31DOI: 10.22214/ijraset.2024.63691
Sanjay Kumar
Abstract: This research investigates the economic optimization and performance enhancement of rooftop solar power systems through the integration of concentrated solar technology and advanced materials. The aim is to assess the viability and effectiveness of these innovations in both residential and commercial settings. By focusing on improving energy efficiency and reducing costs, the study provides a comprehensive economic perspective on the adoption of these advanced solar technologies. Key aspects of the research include the evaluation of lifecycle costs, energy yield, and payback periods, offering insights into the long-term financial benefits and feasibility of implementing such systems. The integration of concentrated solar technology enhances the intensity of solar energy captured, thereby significantly boosting the efficiency of rooftop solar panels. Advanced materials, such as perovskites, multi-junction cells, and nanomaterials, are examined for their potential to improve energy absorption, durability, and overall performance of solar panels. The research employs simulation software to model the performance of these optimized systems under various environmental conditions, providing a detailed analysis of their energy output and efficiency.
{"title":"Economic Optimization and Performance Enhancement of Rooftop Solar Power Systems Using Concentrated Solar Technology and Advanced Materials","authors":"Sanjay Kumar","doi":"10.22214/ijraset.2024.63691","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63691","url":null,"abstract":"Abstract: This research investigates the economic optimization and performance enhancement of rooftop solar power systems through the integration of concentrated solar technology and advanced materials. The aim is to assess the viability and effectiveness of these innovations in both residential and commercial settings. By focusing on improving energy efficiency and reducing costs, the study provides a comprehensive economic perspective on the adoption of these advanced solar technologies. Key aspects of the research include the evaluation of lifecycle costs, energy yield, and payback periods, offering insights into the long-term financial benefits and feasibility of implementing such systems. The integration of concentrated solar technology enhances the intensity of solar energy captured, thereby significantly boosting the efficiency of rooftop solar panels. Advanced materials, such as perovskites, multi-junction cells, and nanomaterials, are examined for their potential to improve energy absorption, durability, and overall performance of solar panels. The research employs simulation software to model the performance of these optimized systems under various environmental conditions, providing a detailed analysis of their energy output and efficiency.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"47 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795155","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 : 2024-07-31DOI: 10.22214/ijraset.2024.63706
Anurag Bharati
Abstract: The growing field of real-time intelligence (RTI) in sustainable restaurant management addresses the imperative to enhance restaurant efficiency and sustainability through data-driven strategies. As the restaurant industry faces pressure to balance environmental impact with service quality, embracing modern technologies becomes crucial. This study aims to explore and assess the potential of RTI systems for managing reservations and predicting food demand in sustainable restaurants. The methodology involves rigorous desk-based research, drawing from reputable scholarly sources, industry reports, and credible online platforms. Findings highlight the multifaceted benefits of RTI, including data-driven optimization of labor, inventory, and green initiatives. RTI also optimizes table bookings and resource allocation, minimizing wait times and food waste for a more sustainable operation. However, data privacy concerns present challenges that demand comprehensive strategies, including privacy-by-design principles and adherence to regulatory standards. Future recommendations encompass cloud-based deployment, structural evolution, data and machine learning enhancements, and further refinements. This research contributes to advancing the integration of RTI systems to foster efficient, sustainable, and customer-centric restaurant management practices.
{"title":"Real-time Intelligence in Sustainable Restaurant Management","authors":"Anurag Bharati","doi":"10.22214/ijraset.2024.63706","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63706","url":null,"abstract":"Abstract: The growing field of real-time intelligence (RTI) in sustainable restaurant management addresses the imperative to enhance restaurant efficiency and sustainability through data-driven strategies. As the restaurant industry faces pressure to balance environmental impact with service quality, embracing modern technologies becomes crucial. This study aims to explore and assess the potential of RTI systems for managing reservations and predicting food demand in sustainable restaurants. The methodology involves rigorous desk-based research, drawing from reputable scholarly sources, industry reports, and credible online platforms. Findings highlight the multifaceted benefits of RTI, including data-driven optimization of labor, inventory, and green initiatives. RTI also optimizes table bookings and resource allocation, minimizing wait times and food waste for a more sustainable operation. However, data privacy concerns present challenges that demand comprehensive strategies, including privacy-by-design principles and adherence to regulatory standards. Future recommendations encompass cloud-based deployment, structural evolution, data and machine learning enhancements, and further refinements. This research contributes to advancing the integration of RTI systems to foster efficient, sustainable, and customer-centric restaurant management practices.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"42 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795169","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 : 2024-07-31DOI: 10.22214/ijraset.2024.63641
Ayobami Olawale Fakunle
Abstract: Machine learning is finding application in many fields as a tool. Its increasing adoption fueled by rapid advancements in algorithms and hardware. Deep learning techniques have shown great capabilities in image recognition, face recognition and other vision tasks. The proposed model describes the use of a deep learning method for the soft biometrics’ classification of clothing according to a predefined dress code standard in an academic setting. The Yolov4 architecture is used in this work for detection and classification. A custom dataset of images is gathered at a higher institution of learning by volunteer students which are subsequently box annotated for location of clothed figures. These are used for training and testing of the dress code detection model. The proposed model indicates detection by drawing bounding boxes and classifies by gender into appropriately dressed APD and not appropriately dressed NAPD. The results indicate that the proposed deep learning model is an efficient and successful network configuration for dress code detection and classification.
{"title":"Real Time Dress Code Adherence Recognition in an Academic Setting Using a Deep Learning Model","authors":"Ayobami Olawale Fakunle","doi":"10.22214/ijraset.2024.63641","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63641","url":null,"abstract":"Abstract: Machine learning is finding application in many fields as a tool. Its increasing adoption fueled by rapid advancements in algorithms and hardware. Deep learning techniques have shown great capabilities in image recognition, face recognition and other vision tasks. The proposed model describes the use of a deep learning method for the soft biometrics’ classification of clothing according to a predefined dress code standard in an academic setting. The Yolov4 architecture is used in this work for detection and classification. A custom dataset of images is gathered at a higher institution of learning by volunteer students which are subsequently box annotated for location of clothed figures. These are used for training and testing of the dress code detection model. The proposed model indicates detection by drawing bounding boxes and classifies by gender into appropriately dressed APD and not appropriately dressed NAPD. The results indicate that the proposed deep learning model is an efficient and successful network configuration for dress code detection and classification.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"41 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795179","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 : 2024-07-31DOI: 10.22214/ijraset.2024.63542
Dr. Bashir Ahmad Pandit
Abstract: Though their efficacy is currently under question, check dams are crucial for sediment retention globally. To estimate the retained sediment fast, readily, and with a suitable degree of approximation, 10 geometric models are proposed in this study together with their field technique and equations. The models were used to calculate the volume of trapped silt and compare them with other commonly used techniques on a sample of check dams in the Budgam district of Jammu and Kashmir based on the valley's form. Compared to topographic methods, our geometric method produced lesser volumes, but it produced larger volumes than basic methods. As a result, this approach minimizes fieldwork, computations, and expense when used as a preliminary approximation to estimate the sediment trapped by check dams and tiny silted dams. Additionally, compared to the outdated, basic procedures, it enables the selection of a higher precision and better match to the sediment wedge shape.
{"title":"Calculating the Volume of the Sediment Wedge in Retention Check Dams by Using Most Appropriate Models in Jammu and Kashmir's Budgam District","authors":"Dr. Bashir Ahmad Pandit","doi":"10.22214/ijraset.2024.63542","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63542","url":null,"abstract":"Abstract: Though their efficacy is currently under question, check dams are crucial for sediment retention globally. To estimate the retained sediment fast, readily, and with a suitable degree of approximation, 10 geometric models are proposed in this study together with their field technique and equations. The models were used to calculate the volume of trapped silt and compare them with other commonly used techniques on a sample of check dams in the Budgam district of Jammu and Kashmir based on the valley's form. Compared to topographic methods, our geometric method produced lesser volumes, but it produced larger volumes than basic methods. As a result, this approach minimizes fieldwork, computations, and expense when used as a preliminary approximation to estimate the sediment trapped by check dams and tiny silted dams. Additionally, compared to the outdated, basic procedures, it enables the selection of a higher precision and better match to the sediment wedge shape.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"30 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795205","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 : 2024-07-31DOI: 10.22214/ijraset.2024.63588
Ratanak Mony
Abstract: The prestressed concrete system is a prominent material in civil engineering, with applications ranging from buildings, bridges, foundations, piling, silos, stadiums, roadways, and other infrastructure. However, this work is primarily concerned with its applicability to building frame constructions subjected to seismic loading. The prestressed concrete system for frame constructions not only reduces the amount of structural components, but it is also a cost-effective technology that provides outstanding strength and stiffness, as well as quick and simple site erection. Hence, we will be able to use these prestressed concrete components to their full capacity, unlocking engineering and social benefits that were previously impossible. Prestressed concrete designs, as opposed to reinforced concrete designs, can give structures with substantially longer spans, no cracks, or fewer cracks with tiny crack widths. Nonetheless, research on the seismic behaviour of prestressed concrete frame structures is relatively restricted, with the majority of studies focusing on reinforced concrete structures. Finally, the provisional versions of modern building codes such as ACI 318, GB50010, and EC2 do not provide thorough processes for seismic design of prestressed concrete structures. In this work, the seismic design and behaviour of prestressed concrete building frames are explored using the most recent design code. Three model-building codes will be investigated and compared, including ACI 318- 14, Eurocode 2004-2, and Chinese GB500010-2010. The 10-story prestressed concrete frame system is subjected to gravity and seismic loading, and the strong-column weak beam mechanism is archived to conform with the newly implemented building design code. To examine the behaviour of prestressed concrete frame structures, nonlinear static pushover analysis is used to capture the reaction under earthquake loading. The stiffness and strength needed will be designed in compliance with the three major building codes indicated. In addition, the finite element model will be created using CSI Sap200 to capture its actions.
{"title":"An Investigation of Seismic Behaviour of Prestressed Concrete Frame Structures using Pushover Analysis","authors":"Ratanak Mony","doi":"10.22214/ijraset.2024.63588","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63588","url":null,"abstract":"Abstract: The prestressed concrete system is a prominent material in civil engineering, with applications ranging from buildings, bridges, foundations, piling, silos, stadiums, roadways, and other infrastructure. However, this work is primarily concerned with its applicability to building frame constructions subjected to seismic loading. The prestressed concrete system for frame constructions not only reduces the amount of structural components, but it is also a cost-effective technology that provides outstanding strength and stiffness, as well as quick and simple site erection. Hence, we will be able to use these prestressed concrete components to their full capacity, unlocking engineering and social benefits that were previously impossible. Prestressed concrete designs, as opposed to reinforced concrete designs, can give structures with substantially longer spans, no cracks, or fewer cracks with tiny crack widths. Nonetheless, research on the seismic behaviour of prestressed concrete frame structures is relatively restricted, with the majority of studies focusing on reinforced concrete structures. Finally, the provisional versions of modern building codes such as ACI 318, GB50010, and EC2 do not provide thorough processes for seismic design of prestressed concrete structures. In this work, the seismic design and behaviour of prestressed concrete building frames are explored using the most recent design code. Three model-building codes will be investigated and compared, including ACI 318- 14, Eurocode 2004-2, and Chinese GB500010-2010. The 10-story prestressed concrete frame system is subjected to gravity and seismic loading, and the strong-column weak beam mechanism is archived to conform with the newly implemented building design code. To examine the behaviour of prestressed concrete frame structures, nonlinear static pushover analysis is used to capture the reaction under earthquake loading. The stiffness and strength needed will be designed in compliance with the three major building codes indicated. In addition, the finite element model will be created using CSI Sap200 to capture its actions.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"26 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795209","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 : 2024-07-31DOI: 10.22214/ijraset.2024.63736
Dhanikonda Ratna Bhavani
Abstract: Breast cancer, the most common cancer among women after skin cancer, significantly contributes to the rising mortality rate. Screening mammography is an effective method for detecting masses and abnormalities related to breast cancer. Digital mammograms are especially useful for early cancer detection in asymptomatic women and diagnosing cancer in women with symptoms such as lumps or nipple discharge, thereby reducing mortality and increasing survival rates. Clinicians often face time constraints that can lead to medical errors and incorrect diagnoses due to insufficient time to review patient history thoroughly.
摘要：乳腺癌是继皮肤癌之后妇女中最常见的癌症，是死亡率上升的重要原因。乳房 X 光筛查是检测乳腺癌相关肿块和异常的有效方法。数字乳房 X 光检查尤其适用于无症状妇女的早期癌症检测，以及有肿块或乳头溢液等症状妇女的癌症诊断，从而降低死亡率并提高存活率。临床医生经常面临时间限制，由于没有足够的时间彻底检查病人的病史，可能导致医疗失误和错误诊断。
{"title":"Harnessing Deep Learning for Accurate Detection of Breast Cancer in Histopathological Imagery","authors":"Dhanikonda Ratna Bhavani","doi":"10.22214/ijraset.2024.63736","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63736","url":null,"abstract":"Abstract: Breast cancer, the most common cancer among women after skin cancer, significantly contributes to the rising mortality rate. Screening mammography is an effective method for detecting masses and abnormalities related to breast cancer. Digital mammograms are especially useful for early cancer detection in asymptomatic women and diagnosing cancer in women with symptoms such as lumps or nipple discharge, thereby reducing mortality and increasing survival rates. Clinicians often face time constraints that can lead to medical errors and incorrect diagnoses due to insufficient time to review patient history thoroughly.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"18 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795241","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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