While some individuals shop for groceries on a daily basis, others go grocery shopping once a week just to bulk up. Having said that, it is essential for everyone to buy food. The term "fast-moving consumer goods" (FMCG) is shorthand for things that are inexpensive, much sought after, and sell out rapidly. Because customers buy and use these products often, stores and supermarkets label them as "fast-moving" because they disappear off shop shelves so quickly. In India, the fast-moving consumer goods sector is a major economic driver. Household and personal care makes up half of the fast-moving consumer goods (FMCG) industry, which is the fourth biggest in the economy. Changing lifestyles, rising incomes, more knowledge, and better access have been the primary growth factors for fast-moving consumer goods (FMCG).There was a $56.8 billion FMCG market in December 2022. The forecasted total revenue for the FMCG market is roughly $615.87 billion, with a compound annual growth rate (CAGR) of 27.9% from 2021–27.The study shows that there are different opinions on digitization and that it is a wide-ranging issue. However, when people think of digitization in the fast moving goods business, particularly in the food sector, they usually picture the tools and processes that help sell food online. The current surge, on the other hand, is attributable to the fact that people are becoming used to buying online and are hence requesting this functionality for their grocery shopping as well. Companies in the food business can't help but consider digitization in response to customer demands for digital solutions, as customers are the industry's most important players. Electronic commerce (e-commerce) opens up a worldwide market and frees retailers from some availability constraints, allowing customers to buy things whenever and wherever they want, according to today's literature.Due to the wide range of temperatures and relatively short shelf life of many items, the food business has its fair share of unique issues. This presents both a barrier and an opportunity for online food sellers in terms of delivery. Everyone involved in the sector is aware of this, thus they're all working to find a delivery solution. But it's debatable that the food sector as a whole has to expand if e-commerce is going to be a viable and lucrative business model for enterprises. This includes the FMCG digital market.
{"title":"Impact Of Digitalization In Fast Moving Consumer Goods Industry In India","authors":"Anjali Bharti, Dr. Ruchi Verma","doi":"10.61808/jsrt84","DOIUrl":"https://doi.org/10.61808/jsrt84","url":null,"abstract":"While some individuals shop for groceries on a daily basis, others go grocery shopping once a week just to bulk up. Having said that, it is essential for everyone to buy food. The term \"fast-moving consumer goods\" (FMCG) is shorthand for things that are inexpensive, much sought after, and sell out rapidly. Because customers buy and use these products often, stores and supermarkets label them as \"fast-moving\" because they disappear off shop shelves so quickly. In India, the fast-moving consumer goods sector is a major economic driver. Household and personal care makes up half of the fast-moving consumer goods (FMCG) industry, which is the fourth biggest in the economy. Changing lifestyles, rising incomes, more knowledge, and better access have been the primary growth factors for fast-moving consumer goods (FMCG).There was a $56.8 billion FMCG market in December 2022. The forecasted total revenue for the FMCG market is roughly $615.87 billion, with a compound annual growth rate (CAGR) of 27.9% from 2021–27.The study shows that there are different opinions on digitization and that it is a wide-ranging issue. However, when people think of digitization in the fast moving goods business, particularly in the food sector, they usually picture the tools and processes that help sell food online. The current surge, on the other hand, is attributable to the fact that people are becoming used to buying online and are hence requesting this functionality for their grocery shopping as well. Companies in the food business can't help but consider digitization in response to customer demands for digital solutions, as customers are the industry's most important players. Electronic commerce (e-commerce) opens up a worldwide market and frees retailers from some availability constraints, allowing customers to buy things whenever and wherever they want, according to today's literature.Due to the wide range of temperatures and relatively short shelf life of many items, the food business has its fair share of unique issues. This presents both a barrier and an opportunity for online food sellers in terms of delivery. Everyone involved in the sector is aware of this, thus they're all working to find a delivery solution. But it's debatable that the food sector as a whole has to expand if e-commerce is going to be a viable and lucrative business model for enterprises. This includes the FMCG digital market.","PeriodicalId":506407,"journal":{"name":"Journal of Scientific Research and Technology","volume":"467 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140446888","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}
When it comes to controlling excessive drift, efficiency, and rigidity when exposed to lateral loads, multi-story constructions are among the most popular choices for the outrigger system. Both structural and non-structural forms may have their damage reduced in the event of an earthquake or wind stress. The purpose of this article is to examine the importance of creating a three-dimensional model of a 32-story building in order to conduct analyses and designs using the ETABS program. The model will be used to analyze the building's frame structure and determine the elements that will resist lateral loads. The purpose of this experiment is to determine the impact of an outrigger system at one, two, three, and four storeys in height. This model study makes use of the Wind Static Method, the Linear Dynamic Method (Response Spectrum Method), and the Linear Static Method (Equivalent Static Method). Determine the lateral displacement, base shear, and tale drift for various kinds of models with and without an outrigger system using the efficiency and stiffness parameters. Therefore, in this scenario, it is necessary to reduce displacement and drift in comparison to the model without the outrigger system.
{"title":"Analysis Of Frame Structure Subjected To Lateral Load By Using Lateral Load Resisting Elements","authors":"Mushtaq Ahmed, RG Nauman, Khan","doi":"10.61808/jsrt83","DOIUrl":"https://doi.org/10.61808/jsrt83","url":null,"abstract":"When it comes to controlling excessive drift, efficiency, and rigidity when exposed to lateral loads, multi-story constructions are among the most popular choices for the outrigger system. Both structural and non-structural forms may have their damage reduced in the event of an earthquake or wind stress. The purpose of this article is to examine the importance of creating a three-dimensional model of a 32-story building in order to conduct analyses and designs using the ETABS program. The model will be used to analyze the building's frame structure and determine the elements that will resist lateral loads. The purpose of this experiment is to determine the impact of an outrigger system at one, two, three, and four storeys in height. This model study makes use of the Wind Static Method, the Linear Dynamic Method (Response Spectrum Method), and the Linear Static Method (Equivalent Static Method). Determine the lateral displacement, base shear, and tale drift for various kinds of models with and without an outrigger system using the efficiency and stiffness parameters. Therefore, in this scenario, it is necessary to reduce displacement and drift in comparison to the model without the outrigger system.","PeriodicalId":506407,"journal":{"name":"Journal of Scientific Research and Technology","volume":" 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139621998","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}
In the world of Smart Cities, we're exploring new ways to improve our urban spaces using the Internet of Things (IoT). By using devices like Arduino, we're creating models for Smart City solutions, focusing on things like Smart Parking, Traffic Road Dividers, and Patrolling Vehicles.Our main goal is to make cities safer and better by using technology like IoT and image processing. For example, we're working on special road dividers that help manage traffic by separating cars going in different directions. These "Smart Road Dividers" are designed for cities and use sensors and technologies to adapt to how busy the roads are, helping traffic flow better and easing congestion.Cameras are being used on patrolling vehicles to spot cars parked in the wrong places. If they see something wrong, they quickly tell the right people so they can sort it out. This helps make sure that people park their cars properly and follow the rule.
{"title":"Effective Space Utilization System In Smart Cities Using IOT And Image Processing","authors":"Sumaiya Nasreen","doi":"10.61808/jsrt82","DOIUrl":"https://doi.org/10.61808/jsrt82","url":null,"abstract":"In the world of Smart Cities, we're exploring new ways to improve our urban spaces using the Internet of Things (IoT). By using devices like Arduino, we're creating models for Smart City solutions, focusing on things like Smart Parking, Traffic Road Dividers, and Patrolling Vehicles.Our main goal is to make cities safer and better by using technology like IoT and image processing. For example, we're working on special road dividers that help manage traffic by separating cars going in different directions. These \"Smart Road Dividers\" are designed for cities and use sensors and technologies to adapt to how busy the roads are, helping traffic flow better and easing congestion.Cameras are being used on patrolling vehicles to spot cars parked in the wrong places. If they see something wrong, they quickly tell the right people so they can sort it out. This helps make sure that people park their cars properly and follow the rule.","PeriodicalId":506407,"journal":{"name":"Journal of Scientific Research and Technology","volume":" 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139623037","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}
One of India's most widely grown crops, rice is susceptible to a wide range of illnesses during the growing process. Due to a lack of training and experience, farmers have a hard time making reliable diagnoses when identifying these illnesses manually. Timely detection of diseases and the application of necessary treatments to afflicted plants are crucial for ensuring healthy and normal development of rice plants. In today's agricultural fields, the detection of leaf diseases is of the utmost importance. Consequently, we may use machine learning to identify diseases in rice leaves by image processing. The agriculture sector is in dire need of a system that can identify rice plant problems automatically. We present a novel convolutional neural network (CNN) model for the classification of prevalent rice leaf diseases. From a variety of picture backdrops and capture situations, our algorithm can identify rice leaf illnesses. Classifying disease pictures in rice leaves with complicated backgrounds and varying lighting conditions is our goal. We reach 95% accuracy with the CNNs based model. The outcomes for disease identification in rice demonstrate the effectiveness of suggested approach. Disease detection, CNN algorithm, rice leaf, and machine learning are index terms.
{"title":"Rice Leaf Diseases Detection Using Machine Learning","authors":"Priyanka Kulkarni, Dr. Swaroopa Shastri","doi":"10.61808/jsrt81","DOIUrl":"https://doi.org/10.61808/jsrt81","url":null,"abstract":"One of India's most widely grown crops, rice is susceptible to a wide range of illnesses during the growing process. Due to a lack of training and experience, farmers have a hard time making reliable diagnoses when identifying these illnesses manually. Timely detection of diseases and the application of necessary treatments to afflicted plants are crucial for ensuring healthy and normal development of rice plants. In today's agricultural fields, the detection of leaf diseases is of the utmost importance. Consequently, we may use machine learning to identify diseases in rice leaves by image processing. The agriculture sector is in dire need of a system that can identify rice plant problems automatically. We present a novel convolutional neural network (CNN) model for the classification of prevalent rice leaf diseases. From a variety of picture backdrops and capture situations, our algorithm can identify rice leaf illnesses. Classifying disease pictures in rice leaves with complicated backgrounds and varying lighting conditions is our goal. We reach 95% accuracy with the CNNs based model. The outcomes for disease identification in rice demonstrate the effectiveness of suggested approach. Disease detection, CNN algorithm, rice leaf, and machine learning are index terms.","PeriodicalId":506407,"journal":{"name":"Journal of Scientific Research and Technology","volume":"7 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139380424","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}
A large sum of money is invested annually in the production of several films. The primary objective of our study is to predict, using specific credits (both static and social/dynamic), if the film will be a true hit or a complete bust. There are a lot of set aspects that impact a movie's success or failure, such as the kind, budget, entertainers, chief, creator, creation home, delivery date, and so on. Looking at the film through the lens of online entertainment, we would search for dynamic hashtags that are now trending on Twitter. It is critical to find the attribute relationships and use an information mining calculation to get the result. To find out whether any movie is lucky or not, we apply all the information mining tools. This method is very helpful for those who build things. due to the fact that it gives them the opportunity to review films before to their release, which greatly influences their self-presentation and enhances their outcomes.
{"title":"Movie Success and Rating Prediction Using Data Mining","authors":"Ambresh Bhadrashetty, Surekha Patil","doi":"10.61808/jsrt78","DOIUrl":"https://doi.org/10.61808/jsrt78","url":null,"abstract":"A large sum of money is invested annually in the production of several films. The primary objective of our study is to predict, using specific credits (both static and social/dynamic), if the film will be a true hit or a complete bust. There are a lot of set aspects that impact a movie's success or failure, such as the kind, budget, entertainers, chief, creator, creation home, delivery date, and so on. Looking at the film through the lens of online entertainment, we would search for dynamic hashtags that are now trending on Twitter. It is critical to find the attribute relationships and use an information mining calculation to get the result. To find out whether any movie is lucky or not, we apply all the information mining tools. This method is very helpful for those who build things. due to the fact that it gives them the opportunity to review films before to their release, which greatly influences their self-presentation and enhances their outcomes.","PeriodicalId":506407,"journal":{"name":"Journal of Scientific Research and Technology","volume":"60 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139451322","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 verification of signatures is an essential function in several domains, including financial, legal, and administrative processes. Thanks to advancements in image processing, automatic signature verification methods have become more popular. Using structural similarities and image analysis, the proposed research offers a novel approach to signature verification. To compare and assess signatures, it uses the SSIM index. The procedure begins with pre-processing the signature pictures to improve their quality and eliminate any artifacts or noise that may have been obtained from Adobe's stock library. Then, the structural similarity between the reference signature and the input signature is calculated. The perceptual resemblance of two images is measured using structure, contrast, and brightness. The goal of the proposed research is to use this measure to record the signature's structural features and spot changes or deviations. The SSIM value that comes out of the comparison is checked against a threshold that has already been set. To validate an input signature, the calculated similarity must be greater than a certain threshold. The document is marked as suspicious or possibly falsified if it does not comply. Experimental results have shown that the method is effective in differentiating between authentic and counterfeit signatures. By doing away with the need for subjective human judgment and physical examination, this technology provides a reliable and unbiased way to authenticate signatures. Increased automation and trust in signature authentication systems are possible because to the proposed method's encouraging results in accurately differentiating genuine signatures from fakes.
{"title":"Signature Verification System Using SSIM In Image Processing","authors":"Dr. Megha Rani Raigonda, Shweta","doi":"10.61808/jsrt79","DOIUrl":"https://doi.org/10.61808/jsrt79","url":null,"abstract":"The verification of signatures is an essential function in several domains, including financial, legal, and administrative processes. Thanks to advancements in image processing, automatic signature verification methods have become more popular. Using structural similarities and image analysis, the proposed research offers a novel approach to signature verification. To compare and assess signatures, it uses the SSIM index. The procedure begins with pre-processing the signature pictures to improve their quality and eliminate any artifacts or noise that may have been obtained from Adobe's stock library. Then, the structural similarity between the reference signature and the input signature is calculated. The perceptual resemblance of two images is measured using structure, contrast, and brightness. The goal of the proposed research is to use this measure to record the signature's structural features and spot changes or deviations. The SSIM value that comes out of the comparison is checked against a threshold that has already been set. To validate an input signature, the calculated similarity must be greater than a certain threshold. The document is marked as suspicious or possibly falsified if it does not comply. Experimental results have shown that the method is effective in differentiating between authentic and counterfeit signatures. By doing away with the need for subjective human judgment and physical examination, this technology provides a reliable and unbiased way to authenticate signatures. Increased automation and trust in signature authentication systems are possible because to the proposed method's encouraging results in accurately differentiating genuine signatures from fakes.","PeriodicalId":506407,"journal":{"name":"Journal of Scientific Research and Technology","volume":"41 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139451139","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}
Problems with water absorption and dispersion, color loss, poor light, and limited vision are some of the main obstacles and restrictions in underwater photography. A fusion-based method is suggested to enhance these photos' quality; specifically, it would employ the Gray world algorithm and CLAHE (Contrast Limited Adaptive Histogram Equalization) to boost color and contrast. The contrast-enhanced, white-balanced, and weight maps are successfully fused using a multi-scale fusion approach to provide a superior picture. This technique greatly improves underwater picture clarity by eliminating haze and increasing visibility.
{"title":"Haze Removal Of Underwater Images Using Fusion Technique","authors":"Dr. Megha Rani Raigonda, Rajeshwari Hatti","doi":"10.61808/jsrt80","DOIUrl":"https://doi.org/10.61808/jsrt80","url":null,"abstract":"Problems with water absorption and dispersion, color loss, poor light, and limited vision are some of the main obstacles and restrictions in underwater photography. A fusion-based method is suggested to enhance these photos' quality; specifically, it would employ the Gray world algorithm and CLAHE (Contrast Limited Adaptive Histogram Equalization) to boost color and contrast. The contrast-enhanced, white-balanced, and weight maps are successfully fused using a multi-scale fusion approach to provide a superior picture. This technique greatly improves underwater picture clarity by eliminating haze and increasing visibility.","PeriodicalId":506407,"journal":{"name":"Journal of Scientific Research and Technology","volume":"110 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139388036","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 present study aimed to create a Self-Compacting Concrete (SCC) that possesses long-lasting properties and evaluate its fresh, mechanical, and durability properties by substituting 30% of the cement with class F fly ash. Furthermore, the performance of SCC that has been admixed with an SN-based corrosion inhibitor was investigated. Various factors such as the ratio of water to powder, fine aggregate, coarse aggregate (12mm downgraded), and the SN-based corrosion inhibitor were studied. The particle size distribution of the materials was analyzed using a sieve to achieve an even distribution of sizes, appropriate packing, and a lower void content. Multiple mixes were conducted, each with a unique combination of fine and coarse aggregate, as well as a water-to-powder ratio that was altered to optimize the mix percentage. Finally, controlled SCC (or mix M2) met the fresh property standards outlined in the EFNARC guidelines and specifications.The mechanical and durability properties of control SCC and SCC admixed with an SN-based corrosion inhibitor were investigated. Results showed a significant improvement in the compressive strength, split tensile strength, and flexural behavior of Reinforced Cement Concrete (RCC) beams when control SCC was utilized. Furthermore, the SCC with 2% SN demonstrated superior performance in terms of chloride penetration compared to the control SCC. The flexural strength parameters of the SCC with 2% SN were comparable to those of the control SCC. Based on the study's findings, it can be concluded that the addition of inhibitors at a weight percentage of 2% of the cement supplied increased durability properties without affecting the strength properties of SCC. Therefore, the created durable SCC can be recommended for applications such as bridges, prefabricated constructions, and deck slabs which are densely crowded with steel rebars. The study's findings could contribute to the development of SCC with enhanced properties, which would lead to more durable and sustainable construction materials.
本研究旨在通过用 F 级粉煤灰替代 30% 的水泥，制造出一种具有持久特性的自密实混凝土（SCC），并评估其新鲜度、机械性能和耐久性能。此外，还研究了掺入 SN 缓蚀剂的 SCC 的性能。研究了水粉比、细骨料、粗骨料（12 毫米级配）和 SN 缓蚀剂等各种因素。使用筛子分析了材料的粒度分布，以实现均匀的粒度分布、适当的填料和较低的空隙含量。进行了多种混合，每种混合都采用了独特的细骨料和粗骨料组合，并改变了水粉比，以优化混合比例。最后，受控 SCC（或混合料 M2）达到了 EFNARC 指南和规范中规定的新鲜特性标准。研究了受控 SCC 和掺有 SN 缓蚀剂的 SCC 的机械和耐久性能。结果表明，使用对照 SCC 时，钢筋水泥混凝土 (RCC) 梁的抗压强度、劈裂拉伸强度和弯曲性能均有明显改善。此外，与对照 SCC 相比，掺入 2% SN 的 SCC 在氯化物渗透方面表现出更优越的性能。含 2% SN 的 SCC 的抗弯强度参数与对照 SCC 相当。根据研究结果，可以得出结论：在水泥中添加重量百分比为 2% 的抑制剂可提高耐久性能，而不会影响 SCC 的强度性能。因此，可以建议将制作的耐久性 SCC 用于桥梁、预制建筑和钢筋密集的桥面板等应用。这项研究的结果将有助于开发出性能更强的 SCC，从而生产出更耐用、更可持续的建筑材料。
{"title":"Flexural Behaviour and Durability of Self Compacting Concrete Mixed with SN-Based Corrosion Inhibitor","authors":"Zeeshan Shah Khan, Mohammed Moiz","doi":"10.61808/jsrt77","DOIUrl":"https://doi.org/10.61808/jsrt77","url":null,"abstract":"The present study aimed to create a Self-Compacting Concrete (SCC) that possesses long-lasting properties and evaluate its fresh, mechanical, and durability properties by substituting 30% of the cement with class F fly ash. Furthermore, the performance of SCC that has been admixed with an SN-based corrosion inhibitor was investigated. Various factors such as the ratio of water to powder, fine aggregate, coarse aggregate (12mm downgraded), and the SN-based corrosion inhibitor were studied. The particle size distribution of the materials was analyzed using a sieve to achieve an even distribution of sizes, appropriate packing, and a lower void content. Multiple mixes were conducted, each with a unique combination of fine and coarse aggregate, as well as a water-to-powder ratio that was altered to optimize the mix percentage. Finally, controlled SCC (or mix M2) met the fresh property standards outlined in the EFNARC guidelines and specifications.The mechanical and durability properties of control SCC and SCC admixed with an SN-based corrosion inhibitor were investigated. Results showed a significant improvement in the compressive strength, split tensile strength, and flexural behavior of Reinforced Cement Concrete (RCC) beams when control SCC was utilized. Furthermore, the SCC with 2% SN demonstrated superior performance in terms of chloride penetration compared to the control SCC. The flexural strength parameters of the SCC with 2% SN were comparable to those of the control SCC. Based on the study's findings, it can be concluded that the addition of inhibitors at a weight percentage of 2% of the cement supplied increased durability properties without affecting the strength properties of SCC. Therefore, the created durable SCC can be recommended for applications such as bridges, prefabricated constructions, and deck slabs which are densely crowded with steel rebars. The study's findings could contribute to the development of SCC with enhanced properties, which would lead to more durable and sustainable construction materials.","PeriodicalId":506407,"journal":{"name":"Journal of Scientific Research and Technology","volume":"22 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139153340","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 increasing need of shelter in urban cities due to overpopulated spaces and land inadequacy people are forced to keep space and their needs strictly limited. High-rise buildings are the best solution for providing people spaces for living and to work on. In this age of urban development and rapid modernization the need of high-rise structures is rapidly increasing. As structures have become higher, structural engineering has become more difficult to achieve appropriate stability criteria. In tall buildings, stiffness is the key to sustainability. Fluid Viscous Dampers (FVD) are one of the efficient solutions for tall structures. These are hydraulic devices that, when stroked, dissipate the energy placed on a structure by seismic events. The viscous dampers convert the kinetic energy of the structural movement into heat and then dissipate that energy into the air, thereby obeying the laws of physics through the conservation of energy. To determine effectiveness of FVDs as well as determine best location for FVDs in high-rise buildings subjected to seismic loads, the current research is being carried out.In this study twelve (12) RCC framed structures of 15 storeys of which four (4) are square shaped in plan, four (4) are rectangle shaped in plan with sides of ratio 1.5:1 and the other four (4) are rectangle shaped in plan with sides of ratio 2:1. These three (3) different shaped buildings considered are having approximately same plan area and damper positions. A floor-to-floor height 3m is taken. The buildings are located in Zone III. By using ETABS 2017 software, which helps to analyse and design the models, the analysis method used for this study is the Push Over analysis. This research work presents the results of an investigation on different parameters like Base shear, Modal mass participation, Time period, Storey Drift, Storey Shear and Storey Stiffness.
{"title":"Non-Linear Pushover Analysis Of RCC Framed Structure By Providing Fluid Viscous Dampers At Different Locations","authors":"Mohammed Shoaib, Dr. A Swetha","doi":"10.61808/jsrt76","DOIUrl":"https://doi.org/10.61808/jsrt76","url":null,"abstract":"The increasing need of shelter in urban cities due to overpopulated spaces and land inadequacy people are forced to keep space and their needs strictly limited. High-rise buildings are the best solution for providing people spaces for living and to work on. In this age of urban development and rapid modernization the need of high-rise structures is rapidly increasing. As structures have become higher, structural engineering has become more difficult to achieve appropriate stability criteria. In tall buildings, stiffness is the key to sustainability. Fluid Viscous Dampers (FVD) are one of the efficient solutions for tall structures. These are hydraulic devices that, when stroked, dissipate the energy placed on a structure by seismic events. The viscous dampers convert the kinetic energy of the structural movement into heat and then dissipate that energy into the air, thereby obeying the laws of physics through the conservation of energy. To determine effectiveness of FVDs as well as determine best location for FVDs in high-rise buildings subjected to seismic loads, the current research is being carried out.In this study twelve (12) RCC framed structures of 15 storeys of which four (4) are square shaped in plan, four (4) are rectangle shaped in plan with sides of ratio 1.5:1 and the other four (4) are rectangle shaped in plan with sides of ratio 2:1. These three (3) different shaped buildings considered are having approximately same plan area and damper positions. A floor-to-floor height 3m is taken. The buildings are located in Zone III. By using ETABS 2017 software, which helps to analyse and design the models, the analysis method used for this study is the Push Over analysis. This research work presents the results of an investigation on different parameters like Base shear, Modal mass participation, Time period, Storey Drift, Storey Shear and Storey Stiffness.","PeriodicalId":506407,"journal":{"name":"Journal of Scientific Research and Technology","volume":"8 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139173586","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}
Nipah virus is highly fatal virus which spreads from bats to humans & other animals. Due to the fatality of the virus, the aim of this effort is to detect and identify it as soon as possible by understanding the efficiency of machine learning. From the perspective of medicine, the Nipah virus is not treatable using vaccines or medications that have been shown effective. In the field of medicine, machine learning algorithms are crucial for employing ML predictors to isolate the virus in dubious and urgent cases. This technique will produce numerical results to show if a patient has Nipah virus infection or not. Since there is currently no vaccine for the Nipah virus, care must be taken because "prevention is better than cure." To improve model accuracy, more machine learning methods, like Random forest and Decision tree are being applied.
尼帕病毒是一种高度致命的病毒，可从蝙蝠传播给人类和其他动物。鉴于该病毒的致命性，我们的目标是通过了解机器学习的效率，尽快检测和识别该病毒。从医学角度来看，尼帕病毒无法使用疫苗或已证明有效的药物进行治疗。在医学领域，机器学习算法对于在可疑和紧急病例中使用 ML 预测器隔离病毒至关重要。这项技术将产生数值结果，以显示患者是否感染了尼帕病毒。由于目前还没有针对尼帕病毒的疫苗，因此必须小心谨慎，因为 "预防胜于治疗"。为了提高模型的准确性，目前正在应用更多的机器学习方法，如随机森林和决策树。
{"title":"Leverage Machine Learning To Infer Proof of the Nipah Influenza","authors":"Dr. Shubhangi D C, Dr. Baswaraj Gadgay, S. Anita","doi":"10.61808/jsrt75","DOIUrl":"https://doi.org/10.61808/jsrt75","url":null,"abstract":"Nipah virus is highly fatal virus which spreads from bats to humans & other animals. Due to the fatality of the virus, the aim of this effort is to detect and identify it as soon as possible by understanding the efficiency of machine learning. From the perspective of medicine, the Nipah virus is not treatable using vaccines or medications that have been shown effective. In the field of medicine, machine learning algorithms are crucial for employing ML predictors to isolate the virus in dubious and urgent cases. This technique will produce numerical results to show if a patient has Nipah virus infection or not. Since there is currently no vaccine for the Nipah virus, care must be taken because \"prevention is better than cure.\" To improve model accuracy, more machine learning methods, like Random forest and Decision tree are being applied.","PeriodicalId":506407,"journal":{"name":"Journal of Scientific Research and Technology","volume":"11 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139178724","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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