Category Archives: Uncategorized

Authors: Sandeep Gajanan Sutar, Dr. Praveen B M, Dr. Amolkumar Jadhav

Abstract: In the era of pervasive cloud computing, ensuring the privacy and integrity of sensitive data has emerged as a critical challenge. Traditional data protection methods often fall short in addressing sophisticated security threats and compliance demands. This study explores the synergistic integration of blockchain technology and homomorphic encryption (HE) as a transformative approach to privacy management in cloud environments. Blockchain's decentralized and immutable architecture ensures transparent, tamper-proof data transactions, while homomorphic encryption enables computation on encrypted data without revealing its contents—thus preserving confidentiality throughout the data lifecycle. The research discusses layered architectural frameworks, real-world implementations across healthcare, IoT, and supply chains, and presents empirical findings that highlight improvements in computational efficiency, security, and regulatory compliance. Despite challenges in scalability and computational overhead, the combined use of blockchain and HE presents a promising pathway for developing resilient, privacy-preserving cloud infrastructures. This integration not only fortifies data governance but also lays the groundwork for next-generation secure cloud services.

DOI: https://doi.org/10.5281/zenodo.16728278

 

Published by: vikaspatanker

Authors: Rahul Solanki, Murlidhar Chourasia, Rahul Kumar Satbhaiya

Abstract: Designing earthquake-resistant structures necessitates ensuring their safety throughout both the construction phase and their operational lifespan, regardless of the intensity or frequency of seismic events. Ground motion effects are particularly complex due to their dynamic and multifaceted impact on structural behaviour. Among the various analytical techniques available, pushover analysis is considered one of the most dependable for evaluating a structure's response to intense seismic forces. This approach is based on the assumption that during seismic events, buildings predominantly respond in their fundamental or lower vibration modes. Therefore, a multi-degree-of-freedom (MDOF) system can be effectively transformed into an equivalent single-degree-of-freedom (ESDOF) model. This ESDOF model is derived using nonlinear static analysis and subsequently subjected to nonlinear time history or response spectrum analysis utilizing constant-ductility or damped response spectra. The seismic demand parameters obtained from the ESDOF model are then mapped back to the MDOF system through modal transformation techniques. In this research, the seismic behaviour of a moment-resisting RC frame structure is analyzed using the pushover method. The study focuses on the effect of changing column shapes and sizes, specifically replacing rectangular columns with circular ones, to assess variations in seismic performance. The static pushover approach incorporates both constant gravity loads and incrementally applied lateral loads at each story level. Capacity curves, illustrating the relationship between base shear and total story drift, are generated using ETABS 2015 to extract critical seismic response parameters. Throughout the simulation, the overall plan dimensions of the building are maintained constant, while only the column dimensions are varied. Three sets of rectangular column sizes are examined for their nonlinear seismic response and subsequently compared with equivalent circular columns. All structural models are designed following the provisions of IS 456:2000 for concrete design and IS 1893:2002 for seismic loading conditions..

DOI: http://doi.org/

Published by: vikaspatanker

Authors: Kiran Kumar, V. Narmada, Sagarika Kulkarni

Abstract: Cardiovascular diseases cause morbidity and mortality. Early detection is critical, as it can detect and the use of AI plays a significant role in and impacts cardiovascular diseases. Since cardiovascular diseases (CVDs) continue to be the world's leading cause of death, improvements in early diagnosis, treatment, and management techniques are vital. The integration of artificial intelligence (AI), machine learning, and deep learning into cardiovascular medicine offers promising avenues to improve patient outcomes. This review explores recent progress in AI applications for CVDs, including automated electrocardiogram (ECG) analysis, medical imaging, wearable sensor technologies, and telemedicine. AI-driven systems have demonstrated potential in enhancing diagnostic accuracy, enabling remote monitoring, predicting disease risk, and supporting clinical decision-making. Despite significant advancements, challenges such as data bias, algorithmic fairness, and the need for rigorous clinical validation remain. Continued research and the responsible deployment of AI technologies can help address the global burden of CVDs through more precise, efficient, and personalized care

DOI: https://doi.org/10.5281/zenodo.16719088

 

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Authors: Azar Djamali

Abstract: This study reviews the application of Artificial Intelligence (AI) and robotic tools in terrestrial and extraterrestrial architecture. The rapid advancement of AI and robotics is transforming the architectural profession, enhancing creative exploration through data aggregation and analytics while complicating decision-making due to the vast datasets involved. Architects must balance technical proficiency with strategic discernment to harness AI's potential while addressing operational challenges. AI significantly impacts architectural design throughout the building lifecycle, influencing predictive analytics, construction supervision, and facility maintenance (Yangluxi Li et al.). As humanity moves toward interplanetary colonisation, architects are designing habitable structures for extreme environments. Notable projects include the Mars Habitat Concept by Foster + Partners and NASA (2015–2016), Mars Science City by Bjarke Ingels Group (BIG) for the UAE (2017–present), and Skidmore, Owings C Merrill’s (SOM) Moon Village concept, featuring inflatable modules, showcased at the Venice Architecture Biennale 2025. AI and AI-assisted robots, such as the Perseverance rover, enable adaptive and efficient design for harsh environments. This article synthesises insights from over 100 research papers, exploring how machine learning (ML), generative design, and autonomous systems will redefine extraterrestrial construction. By optimising structural integrity and resource utilisation, AI facilitates spatial optimisation and energy-efficient designs (Yangluxi Li et al., 2025). This study highlights the roles of AI, robotics, and automation in optimising terrestrial and extraterrestrial architecture, presenting scalable solutions for future colonies and providing actionable insights for space agencies and architects. By leveraging AI and robotic technologies, architecture can adapt to extreme environments and advance innovative designs for future inhabitants.

 

 

Published by: vikaspatanker

Authors: Nanthini.N.L, Sheeja.B

Abstract: Microplastics are tiny plastic pieces that are less than 5 mm in size. These small plastics enter the oceans through the breakdown of larger plastic waste or through products like face wash and toothpaste. They pose threats to marine life and potentially human health. This paper explains how microplastics are detected and removed, including advanced technologies such as spectroscopy and AI, as well as the challenges involved and the need for improved solutions.

 

 

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Authors: Mohammed Swaleh Mohammed, Alice Nambiro, Bostley Muyembe Asenahabi, Eric Sifuna

Abstract: The Covid-19 pandemic significantly accelerated the adoption of e-learning, resulting in increased investment in digital education platforms and the generation of vast amounts of learner data, commonly referred to as big data. This shift has propelled the development of learning analytics, a field focused on the systematic collection, analysis, and reporting of data to better understand learner behavior and enhance educational outcomes. Despite growing interest in learning analytics, there remains limited understanding of its usability, particularly in assessing student performance within virtual learning environments. This paper presents a critical literature review examining the usability factors of learning analytics in the context of Kenyan universities. Using a desktop research approach, the study synthesizes existing research to identify key gaps and highlight usability dimensions relevant to performance assessment. The review identifies four primary factors influencing the usability of learning analytics tools: perceived usefulness, perceived ease of use, user satisfaction, and learnability. These findings provide a foundation for future empirical studies aimed at evaluating the impact of these factors on learner performance in virtual settings.

DOI: http://doi.org/10.5281/zenodo.17158417

Published by: vikaspatanker

Authors: Sm Hassab Qais

Abstract: In recent years, the Internet has become an important part of daily life for people all over the world. On the other hand, with the increase in online activities, cyber crimes are also increasing. Cybersecurity has made great strides in recent years to keep up with the rapid changes in cyberspace. Cybersecurity refers to the procedures a country or organization can use to protect its assets and information in cyberspace. Twenty years ago, the term "cybersecurity" was not recognized by the public. Cybersecurity affects not only individuals but also organizations or governments. In recent years, everything has become digital using various technologies such as cybernetics, cloud computing, smartphones and Internet of Things technology. Cyber attacks raise concerns about privacy, security and financial compensation. Cybersecurity is a set of technologies, processes and practices designed to prevent attacks, crimes and unauthorized access to networks, computers, processes and system information. The main purpose of this article is to provide an overview of cyber security types, why cyber security is important, cyber security methods, cyber security tools and cyber security issues. Cybersecurity protects the data and integrity of the organization's network or computing assets to protect them from threats throughout the life of a cyber attack.

 

 

Published by: vikaspatanker

Authors: Minal Jain, Mr.Aaron Dlima

Abstract: In recent years, the Internet has become an important part of daily life for people all over the world. On the other hand, with the increase in online activities, cyber crimes are also increasing. Cybersecurity has made great strides in recent years to keep up with the rapid changes in cyberspace. Cybersecurity refers to the procedures a country or organization can use to protect its assets and information in cyberspace. Twenty years ago, the term "cybersecurity" was not recognized by the public. Cybersecurity affects not only individuals but also organizations or governments. In recent years, everything has become digital using various technologies such as cybernetics, cloud computing, smartphones and Internet of Things technology. Cyber attacks raise concerns about privacy, security and financial compensation. Cybersecurity is a set of technologies, processes and practices designed to prevent attacks, crimes and unauthorized access to networks, computers, processes and system information. The main purpose of this article is to provide an overview of cyber security types, why cyber security is important, cyber security methods, cyber security tools and cyber security issues. Cybersecurity protects the data and integrity of the organization's network or computing assets to protect them from threats throughout the life of a cyber attack.

 

 

Published by: vikaspatanker

Authors: Neha Dongre, Dr.SunilSugandhi

Abstract: Soil stabilization can be explained as the alteration of the soil properties by chemical or physical means in order to enhance the engineering quality of the soil. The main objectives of the soil stabilization is to increase the bearing capacity of the clay soil, it’s resistance to weathering process and soil permeability. The long-term performance of any construction project depends on the soundness of the underlying soils. Unstable clay soils can create significant problems for pavements or structures, Therefore soil stabilization techniques are necessary to ensure the good stability of clay soil so that it can successfully sustain the load of the superstructure especially in case of clay soil which are highly active, also it saves a lot of time and millions of money when compared to the method of cutting out and replacing the unstable soil. This paper deals with the complete analysis of the improvement of clay soil properties and its stabilization using industrial waste sand and lime. The experimentation is carried out keeping 20% of lime as constant and industrial waste sand 10%, 20%and 30%. Disposal of these waste materials is essential as these are causing hazardous effects on the environment. With the same intention literature review is undertaken on utilization of solid waste materials for the stabilization of soils and their performance is discussed

 

 

Published by: vikaspatanker

Authors: Maurya Kiran M, Gadekar Mayuri N, Davkhar Kalyani U, Kadbhane Ashwini S

 

Abstract: This study investigated antibacterial activity of two medicinal plants: Tridax procumbens, and Lantana camara; they are common weeds often found in cultivated areas and wastelands, and hold significant importance in traditional Indian medicine. These plants are rich in a diverse array of secondary metabolites, including tannins, flavonoids, alkaloids, saponins, phenols, steroids, anthocyanins, proteins, and carbohydrates. These secondary metabolites are extracted using Soxhlet’s method and ethanol as a solvent. Screening of plants' phytochemicals is done as per standard protocol. In vitro, antimicrobial activity was assessed using the well diffusion method. The antibacterial activity of Ethanol extracts of these two plant leaves was evaluated against disease-causing bacteria, including Staphylococcus aureus., Escherichia coli, Pseudomonas aeruginosa, Streptococcus sp., and Klebsiella pneumoniae Combined ethanolic plant extracts exhibited maximum antibacterial activity compared to the individual plant extracts.

DOI:

 

Published by: vikaspatanker