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.2024.63641
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.2024.63647
M. J. Bee
Abstract: Researchers have been looking at several materials to make concrete more sustainable in the past few years. The nutritional and therapeutic benefits of orange fruits have kept them in human diets for centuries. However, improper disposal of the orange peel wastes produced by fruit eating poses risks to both human and environmental health. The study's overarching goal was to develop environmentally friendly engineering material additions for use in concrete, with a secondary objective of reducing trash pollution and littering. With a focus on the strength properties of OPA-cement blends for cement replacement ranging from 0-10% at 2.5% intervals, this investigation will examines the potential of orange peel ash (OPA) as a cement replacement material. The effect of varied % additions of OPA on the qualities of fresh concrete was investigated experimentally by measuring consistency, fineness of cement, soundness of cement, setting times, workability, compressive, split tensile strength and flexural strengths. An ideal concentration of 0%, 2.5%, 5%, 7.5%, and 10% of OPA admixture was determined, and consistency improved with increasing additions on M40 Grade of Concrete.
{"title":"A Practical Study on Concrete by Partial Restitute of Cement by Orange Peel Ash in Additive with Polypropylene Fibers on M40 Mark","authors":"M. J. Bee","doi":"10.22214/ijraset.2024.63647","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63647","url":null,"abstract":"Abstract: Researchers have been looking at several materials to make concrete more sustainable in the past few years. The nutritional and therapeutic benefits of orange fruits have kept them in human diets for centuries. However, improper disposal of the orange peel wastes produced by fruit eating poses risks to both human and environmental health. The study's overarching goal was to develop environmentally friendly engineering material additions for use in concrete, with a secondary objective of reducing trash pollution and littering. With a focus on the strength properties of OPA-cement blends for cement replacement ranging from 0-10% at 2.5% intervals, this investigation will examines the potential of orange peel ash (OPA) as a cement replacement material. The effect of varied % additions of OPA on the qualities of fresh concrete was investigated experimentally by measuring consistency, fineness of cement, soundness of cement, setting times, workability, compressive, split tensile strength and flexural strengths. An ideal concentration of 0%, 2.5%, 5%, 7.5%, and 10% of OPA admixture was determined, and consistency improved with increasing additions on M40 Grade of Concrete.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"19 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795420","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.2024.63717
Shruti Soni
Abstract: The expense of land is increasing day by day because of rapid increase in the population whereas vegetation is diminishing, due to diminished vegetation contamination is expanded. In this Research paper, we analyze the various types of the dimensions of the building considering them side ratios too and the effect of windward forces on the building in mainly X and Z direction. This paper is about the study of four-building models as Dimensions (30m*30m), (40m*25m), (55m*20m), (80m*15m) having their horizontal Aspect ratios viz. 1, 1.6, 2.75 & 5.33 at an angle of 0 degrees. The height of the building is 90m. Therefore, the research is proceeding to balance out the structure from an increasingly affordable perspective. To find out the best performance and economical for the lateral wind-force resisting system of different models of 25 storey buildings are modelled in STAAD-PRO, assuming the site location as AGRA (Uttar Pradesh), India. For the different structural systems that are compared for minimum and maximum storey displacement, storey drift. The structural system used is prototype. The axial force, shear force, moment, and reactions at various windward sides are used to compare the best performance of the structure. Above all, wind forces in x- direction shows the adequate displacement and drift values when compared to z- direction but from the economic point of view Model-2 gives the satisfactory result from all the above.
摘要：由于人口的快速增长，土地支出与日俱增，而植被却在减少，植被减少导致污染扩大。在本研究论文中，我们分析了各种类型的建筑尺寸，同时也考虑了它们的边长比以及迎风力在主要 X 和 Z 方向上对建筑的影响。本文研究了四种建筑模型，尺寸分别为 (30m*30m)、(40m*25m)、(55m*20m)、(80m*15m)，水平长宽比分别为 1、1.6、2.75 和 5.33，角度为 0°。建筑高度为 90 米。因此，研究工作将从越来越经济实惠的角度来平衡建筑结构。为了找出抗侧风力系统的最佳性能和经济性，我们在 STAAD-PRO 中对 25 层楼高的不同模型进行了建模，并假设场地位于印度阿格拉（北方邦）。比较了不同结构系统的最小和最大层位移、层漂移。所使用的结构系统为原型。不同迎风面的轴力、剪力、力矩和反作用力用于比较结构的最佳性能。与 Z 方向相比，X 方向的风力显示出足够的位移和漂移值，但从经济角度来看，模型-2 在上述所有方面都取得了令人满意的结果。
{"title":"Analysis of Tall Building by using Different Dimensions Under Wind Load Effects","authors":"Shruti Soni","doi":"10.22214/ijraset.2024.63717","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63717","url":null,"abstract":"Abstract: The expense of land is increasing day by day because of rapid increase in the population whereas vegetation is diminishing, due to diminished vegetation contamination is expanded. In this Research paper, we analyze the various types of the dimensions of the building considering them side ratios too and the effect of windward forces on the building in mainly X and Z direction. This paper is about the study of four-building models as Dimensions (30m*30m), (40m*25m), (55m*20m), (80m*15m) having their horizontal Aspect ratios viz. 1, 1.6, 2.75 & 5.33 at an angle of 0 degrees. The height of the building is 90m. Therefore, the research is proceeding to balance out the structure from an increasingly affordable perspective. To find out the best performance and economical for the lateral wind-force resisting system of different models of 25 storey buildings are modelled in STAAD-PRO, assuming the site location as AGRA (Uttar Pradesh), India. For the different structural systems that are compared for minimum and maximum storey displacement, storey drift. The structural system used is prototype. The axial force, shear force, moment, and reactions at various windward sides are used to compare the best performance of the structure. Above all, wind forces in x- direction shows the adequate displacement and drift values when compared to z- direction but from the economic point of view Model-2 gives the satisfactory result from all the above.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"9 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795884","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.2024.63542
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.2024.63546
D. V. Kumar, B. Rajaprakash, Bupesh Kumar K
Abstract: The composite manufactured using nanofillers have found to posses better properties in certain application. In the present work, MWCNTs, Nanoclay and ZnO have been used in GFRP. The developed material can be a promising replacement of composites being used for structural applications in the aerospace sector and space technology apart from the automotives to impart light weight, superior bending and tensile strength. The methodology governing the design of experiments plays a vital role in optimization. Experimental design with three Nanofillers as parameters at three levels for optimization of output characteristics with superior properties for structural applications was done using Taguchi’s L9 and L18 orthogonal arrays. Multi Response Performance Index-MRPI technique has been used for determination of maximum optimal level in the present study.Testing for the manufactured composite was conducted to obtain the ultimate tensile strength and flexural bending strength. ANOVA Analysis was performed both for L9 and L18 arrays and respective MRPI’s. The effects of three nanofillers infused GFRP was investigated and their impact on tensile and flexural strength were evaluated.MRPI indicated single maximum optimal level for both the output characteristics. As GFRP play very important role in engineering application for Stealth, mechanical, thermal properties, resistance to fire by limiting oxygen and retarding flame, several human lifes travelling and working in civil, commercial as well as defence air transport can be saved and could even develop drone and aircraft meant to escape enemy countries radar tracing and monitoring range
{"title":"Experimental Design and Analysis of MWCNT, Nanoclay and Zinc Oxide Nanofillers on Bi-directional-Chopped Stranded Glass Fibre Reinforced Epoxy matrix on Mechanical Properties using Multi Response Performance Index Approach","authors":"D. V. Kumar, B. Rajaprakash, Bupesh Kumar K","doi":"10.22214/ijraset.2024.63546","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63546","url":null,"abstract":"Abstract: The composite manufactured using nanofillers have found to posses better properties in certain application. In the present work, MWCNTs, Nanoclay and ZnO have been used in GFRP. The developed material can be a promising replacement of composites being used for structural applications in the aerospace sector and space technology apart from the automotives to impart light weight, superior bending and tensile strength. The methodology governing the design of experiments plays a vital role in optimization. Experimental design with three Nanofillers as parameters at three levels for optimization of output characteristics with superior properties for structural applications was done using Taguchi’s L9 and L18 orthogonal arrays. Multi Response Performance Index-MRPI technique has been used for determination of maximum optimal level in the present study.Testing for the manufactured composite was conducted to obtain the ultimate tensile strength and flexural bending strength. ANOVA Analysis was performed both for L9 and L18 arrays and respective MRPI’s. The effects of three nanofillers infused GFRP was investigated and their impact on tensile and flexural strength were evaluated.MRPI indicated single maximum optimal level for both the output characteristics. As GFRP play very important role in engineering application for Stealth, mechanical, thermal properties, resistance to fire by limiting oxygen and retarding flame, several human lifes travelling and working in civil, commercial as well as defence air transport can be saved and could even develop drone and aircraft meant to escape enemy countries radar tracing and monitoring range","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"51 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795259","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.2024.63696
Meghana R
Abstract: Prediction of stock prices calls for strong algorithmic foundations for predictions of greater magnitude in share prices because the stock market epitomizes volatility. There exist several models used for the prediction of stock prices. The Long ShortTerm Memory algorithm is one model that seems well-suited for such time series problems. The key objective is to best predict current trends in the market and stock prices, which can be done through point prediction, scenario prediction, anomaly prediction, interval prediction, and volatility prediction. The objective of the study is to provide insight to investors and analysts to understand and predict the behavior of the stock market
{"title":"Predicting Stock Prices Using LSTM Networks: A Comprehensive Approach","authors":"Meghana R","doi":"10.22214/ijraset.2024.63696","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63696","url":null,"abstract":"Abstract: Prediction of stock prices calls for strong algorithmic foundations for predictions of greater magnitude in share prices because the stock market epitomizes volatility. There exist several models used for the prediction of stock prices. The Long ShortTerm Memory algorithm is one model that seems well-suited for such time series problems. The key objective is to best predict current trends in the market and stock prices, which can be done through point prediction, scenario prediction, anomaly prediction, interval prediction, and volatility prediction. The objective of the study is to provide insight to investors and analysts to understand and predict the behavior of the stock market","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"53 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795116","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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