Category Archives: Uncategorized

Authors: Mr. M. Santhanaraj, S.Dharshini, R.Pooja, B.Devaki

Abstract: This project presents a Blockchain-based University Election System enhanced with biometric authentication and AI-driven anomaly detection to address the challenges of security, transparency, and reliability in student elections. The proposed system verifies voter identity through fingerprint and facial recognition, ensuring that only eligible students participate and eliminating risks of impersonation, duplicate, or proxy voting. Each vote is encrypted and immutably recorded on the blockchain ledger, preventing tampering, deletion, or manipulation while creating a transparent and verifiable audit trail. Smart contracts govern the election process by automating voter eligibility checks, enforcing the one-student-one-vote policy, scheduling the election, and instantly counting and publishing results without human intervention. The integration of AI adds another layer of protection by continuously analyzing voting behaviors, biometric data, and transaction patterns to detect anomalies, suspicious trends, or fraudulent activities in real time. This holistic approach reduces manual errors, enhances accountability, and builds student confidence in the election process through verifiable and tamper-proof outcomes. Additionally, the system is designed to be user-friendly, scalable, and cost-effective, making it adaptable not only for universities but also for larger institutions and government-level elections in the future. By combining blockchain, biometrics, and AI, this project demonstrates a secure, intelligent, and modern framework for conducting elections with integrity and efficiency

DOI: http://doi.org/10.5281/zenodo.17283666

Published by: vikaspatanker

Authors: Lalitha Bhai Jagadeesan

Abstract: – The term Regenerative encompasses a broad and profound area of study, especially when applied within the built environment. Building upon my prior understanding of regenerative design, this research explores the concepts for the healthcare sector—specifically focusing on their potential to reduce energy consumption and enhance the mental well-being of patients, staff, and medical professionals. The study will examine the conceptual design of a hypothetical 100 -bedded hospital and identify regenerative strategies that can be implemented during both the design and execution phases to minimize carbon footprint and operational energy demands. Key areas of investigation will include site selection and planning, energy efficiency strategies, water conservation techniques, indoor air quality improvement, and occupant wellness and comfort. The research will also address biophilic design approaches, smart building technologies, and sustainable healthcare waste management practices. Additionally, the study will incorporate insights from existing green-certified healthcare facilities, evaluating metrics such as staff burnout levels and patient outcomes within regenerative versus conventional hospital environments. A brief comparative analysis of regulatory frameworks and certification systems—such as LEED for Healthcare, WELL Building Standard, the Green Guide for Healthcare (GGHC), and relevant ASHRAE standards—will be used to contextualize and support the proposed strategies. Through this integrated approach, the paper aims to highlight the practical applicability of regenerative design in creating high-performance, healing-centred healthcare spaces.

Published by: vikaspatanker

Authors: Dr. P. Preethi, M. Yuthika, Sadhana Kamaraj, S. Kaviya

Abstract: This web-based system offers five separate login portals designed for students, counsellors, Heads of Departments, Class Advisor and the Principal, ensuring role-specific access and responsibilities. Students can easily submit personal or academic grievances online and monitor their progress. Counsellors manage these grievances by updating their status, adding remarks, and sending email notifications to keep students informed. They also maintain academic records like attendance shortages and disciplinary actions. Unresolved issues are escalated to the HOD for further review and resolution. The Principal oversees the entire system, viewing reports across all departments to ensure transparency and compliance with accreditation standards. The platform is built using Next.js for frontend and backend development, MongoDB for database management, and Tailwind CSS for responsive and modern styling. Email notifications are handled via integration with email services such as EmailJS. This technology stack enables a secure, scalable, and user-friendly system that simplifies communication, enhances accountability, and supports institutional accreditation processes.

DOI: https://doi.org/10.5281/zenodo.17278602

 

Published by: vikaspatanker

Authors: Umudi E.Q, Ekpenyong I.O, Sani M.I, Onwugbuta G C, Ikechukwu S.C, Uzoh R.D, Obruche E.K

Abstract: Zinc Oxide (ZnO) nanowires featuring a hexagonal configuration were successfully synthesized through the chemical bath deposition technique. The characterization of the nanowires was conducted using scanning electron microscopy (SEM), X-ray diffraction (XRD), energy dispersive X-ray analysis (EDX), and a spectrophotometer. The SEM images revealed that the diameters of the ZnO nanowires varied from 170.3 to 481 nm, indicating that a bath solution pH of 8.1 is optimal for the formation of hexagonal ZnO nanowires. The XRD patterns validated that the ZnO nanowires exhibit a hexagonal crystallite structure, with the crystallite size, determined via Scherrer’s equation, increasing with elevated annealing temperatures (0.536 nm, 0.541 nm, and 0.557 nm at 100°C, 150°C, and 200°C, respectively). EDX analysis yielded insights into the elemental composition of the samples, confirming the presence of Zn and O. Results from optical analysis demonstrated that ZnO nanowires possess high absorbance in the ultraviolet and infrared spectra while exhibiting significant transmittance in the visible spectrum. Furthermore, the absorbance of the nanowires was found to increase with higher annealing temperatures. Their notable absorbance in the ultraviolet range indicates potential applications as solar harvesters for capturing solar energy for photovoltaic panels, which can convert sunlight directly into electricity for commercial or industrial use.

DOI: http://doi.org/10.5281/zenodo.17225255

Published by: vikaspatanker

Authors: CEng. Shreekant Patil

Abstract: Providing inclusive and equitable quality education and fostering lifelong learning opportunities for everyone is the essence of Sustainable Development Goal 4 (SDG 4). In India, where a large youth population is both challenge and opportunity, developing entrepreneurial skills through quality education is central to economic prosperity and social integration. This research analyzes the crucial function of startup mentorship in promoting SDG 4 through skill building among Indian youth and adults. Capitalizing on the deep mentorship pool within India's dynamic startup ecosystem, this research investigates how mentorship initiatives enhance the quality of education by combining academic theory with experiential entrepreneurial skills, empowering excluded groups, and promoting innovation-based livelihoods. The paper also highlights the need for policy environment, ecosystem assistance, and inclusive mentorship to build scalable impact consistent with India's economic and social goals.

DOI: http://doi.org/10.5281/zenodo.17225033

Published by: vikaspatanker

Authors: Anushree, Dr. P. Lalitha Associate Professor, Dr. S. Suja Assistant Professor

Abstract: With the rapidly evolving business environment, the traditional forms of workforce planning can no longer be used to manage uncertainty, skill upheaval and rapidly shifting talent requirements. This paper provides a new data-driven framework based on Reinforcement Learning (RL) to reach the objective of Adaptive Strategic Workforce Planning (ASWP). The approach proposed is the RL-based approach, unlike the rest of the statical models because it is not based on the forecast, and even the changing conditions in all the cases of optimizing the talent decisions, instead it constantly uses the data of the organization and the forecast, it makes the adjustment itself. The conceptual model illustrates the incorporation of the key workforce planning intent such as planning talent requirements, bridging skill shortages, succession planning, and workforce cost-efficiency into a Reinforcement Learning (RL) system. The agent is addressing such factors as skill profiles, role transition, and labor market in this stage. The method of reward functions measures the extent to which the actions, such as hiring, upskilling, redeployment, and promotion are aligned with the objective of cost-efficiency, business alignment, and workforce agility. The flexibility of the model is fundamentally by the one of the complex situations and ongoing feedbacks assist in learning the ideal policies. The reward maximization, speed of convergence, ability to generalize to workforce situations and ability to scale to various organizational situations are among the most important measurement factors. Strategic results are quantified with the help of better accuracy of forecasts, reduction of talent gaps, better use of resources and better alignment to long-term business objectives. By contributing to the dynamic, robust, and interpretable planning tool used in organizations that operate in volatile labor markets, this research paper improves the use of artificial intelligence in human resource management and the workforce analytics field. The proposed method helps HR leaders to make decisions based on data about the talent path of the future. This causes the workforce planning to be a proactive strategic asset instead of a responsive program.

Published by: vikaspatanker

Authors: Salihu Sarki Ubayi, Mahmud Danladi, Abbas Sani, Habibu Idris, Salisu Mannir Ubayi, Idris Zakariyya Ishaq, Umar Shehu Ibrahim

Abstract: Structural engineering education has traditionally relied on textbooks, classroom lectures, and two-dimensional diagrams. However, students often struggle to translate these abstract resources into an understanding of real-world structural behavior. This limitation hinders their ability to connect theory with practice. To address this challenge, this paper proposes StructARLearn, a novel software platform derived from Structure + AR (Augmented Reality) + Learning. StructARLearn is an Augmented Reality (AR)-based platform designed to provide immersive, interactive, and experiential learning opportunities in structural engineering. It integrates AR visualizations, real-time finite element simulations, and interactive modules that enable students to apply loads, visualize deformations, and observe structural responses in real-world contexts through mobile devices or AR glasses. By bridging theoretical knowledge with practice, the platform improves comprehension, retention, and engagement. This paper presents the conceptualization and development methodology of StructARLearn, reviews related literature on AR in engineering pedagogy, outlines the framework of the platform, and discusses its anticipated benefits, challenges, and implications for large-scale adoption.

DOI: http://doi.org/10.5281/zenodo.17222735

Published by: vikaspatanker

Authors: Ajay Damor, Dr Nidhi Tiwari, Professor Madhavi S Bhanwar

Abstract: With the surge of data demands, ultra-reliable low-latency communications (URLLC), and massive connectivity envisioned in 6G networks, accurate and efficient channel state information (CSI) acquisition becomes critically important. Traditional channel estimation techniques often struggle under high mobility, wide bandwidths, and dense multi-user environments—especially when Non-Orthogonal Multiple Access (NOMA) is employed to improve spectral efficiency. This review surveys recent advances in hybrid techniques combining NOMA and Artificial Intelligence (AI) for channel estimation in 6G spectrum, and proposes a novel framework that leverages their complementary strengths. First, we examine the challenges in channel estimation under NOMA-based systems in 6G, including pilot contamination, interference due to superposition coding, and dynamic channel variation in mmWave/THz bands. Next, we analyze state-of-the-art AI methods—such as deep neural networks (CNNs, LSTM), graph neural networks, and reinforcement learning—that have been applied either alone or in combination with conventional estimation algorithms. We pay particular attention to hybrid approaches that integrate AI with compressive sensing, sparse recovery, or signal processing‐based beamforming to reduce estimation error and computational overhead. We then propose a hybrid AI-NOMA channel estimation model tailored for 6G, which includes: (i) user clustering and power‐domain assignment to mitigate inter-user interference in NOMA; (ii) an AI estimator (e.g., a CNN or LSTM) that refines a coarse initial estimate; and (iii) dynamic adaptation between AI and conventional methods based on channel conditions. Simulation results (or theoretical analysis) show that this hybrid approach reduces mean squared error (MSE), improves spectral efficiency, and maintains robustness under imperfect CSI and high mobility, exceeding benchmarks set by LS, MMSE, or pure AI‐based estimators. Finally, we discuss implementation considerations: training data requirements, model complexity, latency, and compatibility with existing 6G architectures. Open research directions are identified, including transfer learning across channel environments, online learning to adapt to changing spectrum conditions, and integrating with other 6G technologies such as Reconfigurable Intelligent Surfaces (RIS) and ultra-massive MIMO.

Published by: vikaspatanker

Various topics were explored these days by researchers in all fields, many are working collectively and need knowledge sharing. Scholars try to find Free Scholarly Journals so help those to spend more on research work. But journal have limited resources and funding agencies do not support journals. So some of journals choose a subscription model for sustain and others take a nominal charge from author in name of processing or publication. So there is no exact FREE Service of publication as each service needs some labor, maintenance, etc. Scholars should also need to check that any Journal is doing publication for free is matching there research criteria as well. Some of Free International Journals with High Impact Factor can do publication but they may take time for review in months. So that may down the publication importance if scholar is looking for urgent. Another important factor is paper get publish in Best Free journals. Finding such journal is easy but publication in such is very hard for beginners or people who just start publication.

In some of universities they make foundation to do publication in Free Scholarly Journals only later colleges/universities do not guide students to improve paper quality so publication get possible within timeline. Finally some of basic guideline for the beginner to crosscheck is:

1. Check validity of the website from various indexing platform.

2. Check the publication fees details page as some publishers hide it and later on they charge.

3. Check the relevancy of journal content as per current paper publication. Sometimes free journals do not accept papers if relevancy is less.

4. Always show acceptance to the guide before submitting the final paper copy to the publisher.

5. Check contact details from the editor ot other body of journal as many of journals do not specify the communication medium apart from email that may put trouble to the authors if things are confusing.

6. Check previous publication of the journals it should be regular and written by different authors. In case if publisher is not publishing paper in all issue then try to avoid such journals as they may leave your paper in dark after some time.

Publication is not just an activity, it’s a sharing of knowledge of what was done by researchers so priority should be given to the publisher who are doing their job seriously with responsibilities.

People can do this by  do publication

Academic and research scholars often do research on various topics. They work for the continuous growth and development of their field. Working on a research project requires funds from beginning to end. It’s a time-taking process which requires hard work, patience, and funding collectively. 
Most individual researchers struggle to complete the fees for the publication so they seek free journal publication to publish their research work. There are mainly two types of journals out there on the basis of coverage; national and international. National journals generally operate locally and focus on research publications at country level, whereas an international journal provides wider coverage as it allows authors from different countries to publish research work without barriers. 
Many journals that provide free journal publication take time in the overall publication process. Free journals do not ask for any type of monetary assistance for peer review or processing charges. One has to follow a rigorous peer review process before publication. It can be from weeks to months, depending on the journal’s review policies. Some scholars wait for months and still their research paper gets rejected after a multi-level review process. 

Submit Your Paper  / Check Publication Charges

Free journal publication is considered a good option if the unnecessary delay is avoided. Some scholars do not have that much patience as they eye for a good opportunity. So they seek fast publication journals that publish for free or with minimum charges. There are many websites available that provide information regarding international journals as per one’s research field. One can search for fast publication journals easily. This blog also suggests an International journal that provides a fast review process and publication with low charges.

IJSRET is an international journal, mainly working in the field of science, engineering, technology, management, etc. It is one of the journals that provide fast publication with minimum charges on its portal. Scholars can submit their research work for review and publication on the website. 
Benefits of publication in IJSRET international journal:

Best Free Journals
Fast review process
Fast publication
Formatting by journal
Global recognition
No extra charges as per pages or authors
Wider reach in the field

Published by: vikaspatanker

Authors: Dr.Muhammed Anas .B, Dr. V. Basil Hans, Dr. N Subbukrishna Sastry

Abstract: Tourism has undergone a profound transformation in the digital era, reshaping how travellers plan, experience, and reflect upon their journeys. The integration of advanced technologies such as artificial intelligence, virtual reality, augmented reality, mobile applications, and digital payment systems has redefined the global tourism landscape. In India, iconic destinations like the Taj Mahal, Jaipur’s palaces, Kerala’s backwaters, and Varanasi’s spiritual centres are increasingly leveraging digital platforms for smart navigation, virtual tours, and cultural storytelling. Similarly, global tourist attractions such as the Eiffel Tower in France, the Great Wall of China, and the Grand Canyon in the United States are adopting immersive technologies and digital engagement strategies to enhance visitor experience and accessibility. This digital shift not only personalizes travel but also ensures sustainable tourism management by reducing overcrowding, providing real-time updates, and promoting local businesses. The aim of the researcher is to highlight the role of technology in facilitating awareness, enriching travel experiences, and ensuring inclusivity for both domestic and international tourists. Furthermore, this study envisions the future of tourism where continuous digital innovation—through AI-driven recommendations, virtual heritage preservation, and smart tourism ecosystems—will shape the way travellers connect with destinations. By exploring present practices in India and abroad, and by anticipating future advancements, this research aspires to provide a roadmap for policymakers, tourism boards, and industry stakeholders to maximize technology’s potential in promoting tourism and cultural heritage.

DOI: http://doi.org/10.5281/zenodo.17205715

Published by: vikaspatanker