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Past Issues
Bamboo As A Reinforcement Materials
Aryan , Chirag Rai , Daleshwar Kumar ³ Karan Srivastav Jitendra Kr.Bhondale⁵ Raj Vikram Singh
CrossRef DOI : 10.31426/ijamsr.2024.7.5.7311
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2024.7.5.7311
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Abstract
Concrete is a principal building material used all over the globe. Concrete’s tensile strength is weak while its compressive strength is high. This necessitates the use of steel as a reinforcement material to make it strong in tension. –Steel is costly and easily corroded thereby leading to structure decay. Because of this, concrete can be replaced with bamboo because of their properties such as light weight, high strength, durable and easily renewable.-So that Bamboo replaces steel which was commonly used in construction industries for reinforcement purposes by traditional methods-The truth is that bamboo is an indigenous, affordable and plentiful resource.—Also It has necessary deflection and tensile strength—Bamboo reinforcement reduces the mid span deflections-Lastly performance of bamboo will be compared with that of steel so as to get the best result.
उत्तर प्रदेश के अयोध्या जिले में पोषण संबंधी समस्याओं का अध्ययन (Study of Nutrition-related Issues in Ayodhya District, Uttar Pradesh)
शालिनी सिंह, डॉ. मृदुला मिश्रा,शिव कुमार मौर्या
CrossRef DOI : 10.31426/ijamsr.2024.7.5.7312
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2024.7.5.7312
व्यावसायिक फसल विकास के लिए संस्थागत ऋण की भूमिका पर एक विश्लेषणात्मक जांच: उत्तर प्रदेश के बस्ती जनपद के विशेष संदर्भ में (An Analytical Investigation on the Role of Institutional Credit for Commercial Crop Development: With Special Reference to Basti District of Uttar Pradesh)
शिव कुमार मौर्या , डॉ. मृदुला मिश्रा , शालिनी सिंह
CrossRef DOI : 10.31426/ijamsr.2024.7.5.7313
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2024.7.5.7313
भारतीय साहित्य में किन्नर विषय
प्रिया यादव (Priya Yadav)
CrossRef DOI : 10.31426/ijamsr.2024.7.5.7314
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2024.7.5.7314
The Innovation Of New Communication Technology - Aurora Guard Smart Watch
Dr. Pooja Singh, Abhishek Sharma, Khushi Jha, Manisha Sharma, Ankit Sain
CrossRef DOI : 10.31426/ijamsr.2024.7.5.7315
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2024.7.5.7315
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Abstract
The Innovation of New Communication Technology - Aurora Guard Smart Watch epitomizes a ground breaking fusion of advanced communication and wearable technology. By harnessing the captivating patterns of the aurora borealis and aurora Australia, this smartwatch introduces a dynamic communication system with unparalleled security features. The use of aurora-based communication ensures a secure and globally connected experience, transcending the limitations of traditional networks.
Key features include seamless connectivity with global coverage, enabling users to stay connected in remote or challenging environments. The smartwatch prioritizes health monitoring through real-time tracking of vital signs, sleep patterns, and physical activity, offering users a comprehensive wellness companion. Customizable watch faces, a dynamic display, and an energy-efficient design contribute to a unique and sustainable user experience. Implications for personal communication encompass heightened security, expanded connectivity in areas with limited network coverage, and reliability in emergency situations. The smartwatch's integration of communication and health features positions it as a transformative wearable device. As technology advances, the Aurora Guard Smart Watch serves as a catalyst for innovation, offering a glimpse into the future of seamlessly integrated, secure, and holistic wearable technology.
Design And Development Of Iron Nano And Hydroxyapatite Particles Filled Aluminum Alloy Composite
Suryajeet Kumar Singh, Dr. Devender Singh Punia
CrossRef DOI : 10.31426/ijamsr.2024.7.5.7316
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2024.7.5.7316
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Abstract
Due to its advantageous qualities, which include a high strength-to-weight ratio, light weight, high thermal property values, and resistance to corrosion, aluminium and its alloys are widely employed in a variety of sectors worldwide. On the other hand, some of the backgrounds are low part properties, including hardness and wear resistance. Advanced composite materials reinforced with one or more elements to create a distinctive combined effect are called Metal Matrix composite materials. This approach permits a greater degree of material design limit extension. In this current study, the main objective of this work was to evaluate physical and mechanical properties experimentally and numerically using finite element modelling (FEM). Iron nano particle and hydroxyapatite reinforced into aluminum 6061 alloy composites are fabricated simultaneously by adopting stir casting approach by changing weight percentages of filler powder from 0.0 wt.%, 1.00 wt.%, 1.5wt.% . On the opposite hand, fabrication of composite numerically was done through ANSYS Workbench 2020 R2. In result, void percentage of AA 6061 composites varied from 0.77 to 1.73 for 0 to 1.5 weight percent when filler was introduced and micro-hardness value raised from 13.9 HB to 24 HB with the increasing nano filler amount. Dry sliding wear tests were conducted for iron nano and hydroxyapatite filled alloy composites and there after implementing Taguchi approach at four distinct loads (30N – 60N), sliding speed ( 30 rpm – 60 rpm), Test run time duration (10-25 min) and filler powder weight percentages (0 wt.% - 1.5 wt.%) respectively using pin-on-disc machine. Finally, for finding some other characteristic properties mechanism of composite and for numerical approach the Finite Element Analysis was performed by using ANSYS 20.0 and various stresses such as maximum principal stresses, Von- Mises stresses, directional deflection, total deformation, and penetration, contact pressure surfaces, occurred throughout operating condition were evaluated.
Evaluation Of Machine Learning Models For Detecting Security Threats In Banking Applications
Md Zillur Rahman, Dr. Manisha Kumari Deep
CrossRef DOI : 10.31426/ijamsr.2024.7.5.7317
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2024.7.5.7317
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Abstract
This study explores the potential of various machine learning models in enhancing the security of banking applications by detecting and mitigating security threats. The comparative analysis of models such as ML based algorithms provides valuable insights into their effectiveness and suitability for real-world deployment. As the banking sector continues to face sophisticated cyber threats, the integration of machine learning models offers a promising avenue for strengthening security measures and safeguarding financial assets. This paper evaluates the effectiveness of various machine learning models in detecting security threats within banking applications. The models assessed include Random Forest, Decision Tree, K-Nearest Neighbours, AdaBoost, SGD Classifier, Extra Trees Classifier, and Gaussian Naive Bayes. Results demonstrate that Random Forest, SGD Classifier, Extra Trees Classifier, and Gaussian Naive Bayes achieve perfect accuracy, making them highly suitable for real-world deployment. Decision Tree, K-Nearest Neighbours, and AdaBoost also perform well, though slightly less accurately.
Advancements In Machine Learning For Detection And Prediction Of Infectious And Parasitic Diseases: A Comprehensive Investigation
Bimal Marandi, Dr. Manisha Kumari Deep
CrossRef DOI : 10.31426/ijamsr.2024.7.5.7318
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2024.7.5.7318
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Abstract
This paper provides a comprehensive review of the integration of machine learning (ML) techniques in the detection and prediction of infectious diseases, focusing on malaria and Covid-19. It evaluates the efficacy of various ML models such as k-NN, logistic regression, decision trees, random forests, gradient boosting, and support vector machines through rigorous accuracy assessments on training and test datasets. The study emphasizes the implementation of decision trees and fuzzy logic within MATLAB for real-time disease state forecasting in malaria cases. For Covid-19, the paper explores the application of data mining (DM) and ML in identifying patterns, risk factors, early detection, contact tracing, vaccine distribution strategies, and potential drug discoveries. It includes visual analyses of global Covid-19 cases and mortality rates, utilizing Holt-Winters' method for predictive modelling from June 2021 to June 2022. Overall, the insights underscore ML's pivotal role in revolutionizing disease management by enabling timely interventions and optimizing resource allocation. The findings contribute to advancing public health strategies, emphasizing the importance of innovative technological applications in mitigating the impact of infectious diseases on a global scale.
The Significance of Education for The Empowerment of Women in India
Sabeena Mazumdar , Dr. Karuna Sharma
CrossRef DOI : 10.31426/ijamsr.2024.7.5.7319
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2024.7.5.7319
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Abstract
Educating women is a top priority for India's government and civil society because of the significant impact that educated women can have on the country's economic development. Education plays an essential role in empowering women since it equips them to overcome challenges, challenge traditional gender roles, and bring about positive changes in their lives. Due diligence into the role of education in empowering women is required in light of India's present rise to global level. Given that education can pave the way for women's empowerment, reduce inequalities, and raise their status in the home and community, it is imperative that we do all in our power to ensure that all women have access to quality education in this country.