Category Archives: Uncategorized

Authors: Priyanshu Singh, Priyanshu Soni, Manmohan Singh Yadav

Abstract: One of the significant resources used in agriculture is water whose availability is extremely low. Most people use traditional irrigation techniques, which are manual, and these techniques tend to cause wastage of water. The current paper has introduced a smart irrigation system, which is founded on soil moisture detection to enhance water management. The type of system employed in the specified project in this paper is based on a soil moisture sensor and an ultrasonic sensor that are linked to an Arduino UNO microcontroller. It constantly measures soil conditions and regulates automatically a water pump with a relay module. When the soil gets dry the pump is switched ON and when the moisture potential is achieved accordingly the pump is switched OFF. The system also offers real time updates to the farmers via the mobile notification and also show the information on an LCD screen. The solution saves water, less human labour, and enhances crop output. It is also affordable, simple to operate and can be applied in small and medium-scale farmers hence is an effective solution to current day farming.

 

 

Published by: vikaspatanker

Authors: Priyanshu Singh, Priyanshu Soni, Manmohan Singh Yadav

Abstract: One of the significant resources used in agriculture is water whose availability is extremely low. Most people use traditional irrigation techniques, which are manual, and these techniques tend to cause wastage of water. The current paper has introduced a smart irrigation system, which is founded on soil moisture detection to enhance water management. The type of system employed in the specified project in this paper is based on a soil moisture sensor and an ultrasonic sensor that are linked to an Arduino UNO microcontroller. It constantly measures soil conditions and regulates automatically a water pump with a relay module. When the soil gets dry the pump is switched ON and when the moisture potential is achieved accordingly the pump is switched OFF. The system also offers real time updates to the farmers via the mobile notification and also show the information on an LCD screen. The solution saves water, less human labour, and enhances crop output. It is also affordable, simple to operate and can be applied in small and medium-scale farmers hence is an effective solution to current day farming.

 

 

Published by: vikaspatanker

Free journal for paper publication, in the era of fast moving globe and daily developing knowledge seems impossible especially in the field of technology, science, engineering and mathematics. The areas ask scholars for a high focus to get a deep and accurate result also day and night hard work to prepare the paper.

Submit Your Paper  / Check Publication Charges

What is a free journal for publishing research paper?

Journals, whether international or national they often provide free publication that means they do not take any charge for paper submission or publication. But here is a concern that it all depends on the quality of your paper. Paper should contain authenticity, free of plagiarism i.e. not copied from anywhere, written with honesty and follow basic standards of journal papers. These journals can be govt. funded, university affiliated or funded by research institutes.

Publish Research Paper Free of Cost

To get published your paper free of cost or in a free journal you should take care of some key points while writing the paper.

First choose for the topic you want to prepare your work or which you are preparing and comes under your interest. It matters because we can put more efforts on the things which we are interest. Such as, we were talking about science and tech, so you can go for the topics covering these.

With so many facilities some of the journals provide one more help of free reading access. Here you can read and freely access the pre published papers. This helps to gain more deep knowledge over research and writing methods.

Free of cost does not always mean zero charges, some journals claim to publish paper free but they can have some hidden charges. So while searching be aware of this messing issue.

Journals also provide DOI and ISSN no according to paper quality along with high impact factor and credibility.

Free journal can take a long time to publish or give initial review result. Reason behind it is they do not charge but if paper quality is good and passes all the standards of publication then it can be published quick and easy.

Submit your research paper manuscript, being sure about your content matches the journal publishing background, giving title, name and contact details. If it gets accepted you will get a mail or voiced about. Fill the given copyright form and your paper will be published. You can now get a publication certificate.

This seems easy but is not that much. Follow the standards of well-structured writing, prepare a content proves all the pros and cons, solves the problem and can make a high audience reach.

Published by: Neeraj Mishra

Authors: R.B.Dhayanandhan, N.Naresh, Mrs.A.Gowri/Ap

Abstract: The Smart City Information Portal is a centralized backend application developed using Spring Boot and MongoDB to manage smart city information efficiently. It provides RESTful APIs for handling user accounts, public services such as hospitals and schools, and city administrative data. The system includes a complaint management and resolution module that allows citizens to register complaints, track their status, and receive updates from city authorities, improving transparency and participation. Secure access is ensured through a role-based access control system with roles such as regular users, city administrators, and super administrators. MongoDB supports scalable and flexible data storage, while Spring Boot ensures a secure, modular, and maintainable backend architecture. The system is extensible and can be integrated with web or mobile front-end applications, supporting digital governance and improved public service delivery in smart cities. The application reduces manual effort by automating administrative workflows and ensures consistent data handling across services. It also provides a reliable foundation for future enhancements and smart city integrations.

DOI: https://doi.org/10.5281/zenodo.18832025

 

Published by: vikaspatanker

Publishing your research paper quickly can be exciting, especially when you’re juggling deadlines, career goals, or academic promotions. But fast publication shouldn’t mean cutting corners. It should mean efficient, transparent, and quality-focused publication that respects academic standards.

Submit Your Paper  / Check Publication Charges

If you’re looking for a way to publish your research paper without long waits, with clear guidance and support at every step, you are in the right place.

What Fast Research Publication Is?

Fast publication doesn’t mean skipping peer review or paying a huge fee to get a stamp of acceptance quickly. Those are often signs of low-quality or predatory journals. True fast publication means:

• A fast but genuine peer-review process
• Clear expectations on formatting and timelines
• Regular communication with authors
• No hidden charges or surprise fees
• Support in correcting reviewer comments quickly

How These Help You Publish Faster, without sacrificing Quality?

Publishing a research paper involves several stages writing, formatting, submission, peer review, revision, and final acceptance. Where most students get stuck is not with writing, but with formatting and compliance.

Here’s how these support fast publication:

Paper Assessment & Topic Matching – Before submission, check whether your paper is fit for the journal format, aligned with the journal’s scope, and likely to pass initial screening. This reduces rejection chances and speeds up review.

Formatting & Structure Support – Many journals reject papers upfront because of formatting errors, title page mistakes, reference style issues, or structural mismatches, these help you format your paper according to journal guidelines from the start

Journal Shortlisting – shortlist legitimate journals that are known for fast review cycles but still maintain quality standards.

Submission & Tracking – help you upload the paper properly, fill the metadata correctly, and track progress so you never miss an email or deadline. Clear records reduce delays.

Revision Guidance – If reviewers request changes, journals help you respond clearly and quickly.

Published by: Neeraj Mishra

Authors: Thenmozhi P, Abarna M, Mahalakshmi D, Malini S

Abstract: Hybrid and nearshore outsourcing paradigms are becoming more popular in order to strike a balance between cost-effectiveness availability of talent and flexibility in operations nevertheless the problem of time- zone lack can affect geographically distributed teams and some of the issues include an uneven distribution of workload and infrequent monitoring of performance on the team the traditional project management tools use a static method of coordination and are not smart in terms of decision making in this project a smart platform to manage nearshore and hybrid outsourcing teams with an agentic ai based multi-agent architecture is introduced the platform automatically breaks down project goals into tasks and allocates them based on the knowledge availability time-zone coverage and historical outcomes specialized ai agents are involved in the organization of tasks time management forecasting performance and assessing risks the system developed based on an event-driven architecture with real time synchronization and continuous learning provides better accuracy in task allocation early risk identification and productivity in a distributed outsourcing setting.

 

 

Published by: vikaspatanker

Authors: Abhinav Pandey, CO. Dr. Preeti Devi

Abstract: This research report provides an exhaustive analysis ofi the intersection between digital governance and financial transparency within the municipal administrations ofi the BRICS nations—Brazil, Russia, India, China, and South Afirica. Utilizing a robust comparative firamework, the study evaluates how digital platforms, legal mandates, and institutional capacity influence the disclosure ofi fiscal infiormation to the public. The findings demonstrate a complex landscape: while national-level digital maturity is high across the bloc (evidenced by Group A and B rankings in the World Bank’s GovTech Maturity Index 2025), the actual translation into municipal transparency is hindered by over-centralization in Brazil, restricted access in Russia, localized “refiorm islands” in India, selective disclosure in China, and severe capacity constraints in South Afirica. Through an examination ofi the Open Budget Survey 2023 data, the report identifies that while transparency has increased globally by 24% since 2008, significant gaps remain in public participation and legislative oversight. Recommendations fiocus on decentralizing digital implementation, institutionalizing public engagement modules, and bridging the skill gap at the local level to ensure that technological advancements yield tangible improvements in fiscal accountability.

DOI: https://doi.org/10.5281/zenodo.18835347

Published by: vikaspatanker

Authors: N. Gokul Krishnan, M. Gokulnath, S.Manoj, Mrs.P.G.Gayathri

Abstract: In modern manufacturing, moving from an Engineering Bill of Materials (eBOM) to a Manufacturing Bill of Materials (mBOM) is still a manual, slow, and error-prone task. This problem often results in data inconsistencies, production delays, and higher manufacturing costs. To address these issues, we propose an AI-powered BOM Converter that automatically converts eBOM into improved mBOM for production workflows. The system uses a mix of machine learning and rule-based logic to examine eBOM structures, identify component connections, and produce an accurate mBOM, complete with manufacturing details like process steps, work centers, tooling, and procurement information. It integrates with existing ERP/PLM systems to ensure smooth data exchange and real-time updates with production planning. By automating the conversion from eBOM to mBOM, this system reduces manual labor, improves data consistency, cuts conversion time, and lowers operational costs. This intelligent converter seeks to transform the digital manufacturing workflow, allowing for quicker product launches and better overall production efficiency.

DOI: https://doi.org/10.5281/zenodo.18831453

 

Published by: vikaspatanker

Authors: Punit Chauhan, Aakash Chouhan, Sunny Maurya, Siddhesh Mundhe, Prof. Shilpa Doke

Abstract: In today's highly competitive job market, candidates often struggle to optimize their resumes for Applicant Tracking Systems (ATS) and lack access to realistic interview preparation environments. This paper presents ResuMentor, a full-stack, AI-driven web platform designed to bridge this gap by providing intelligent resume analysis and real-time mock interview simulation. The system accepts user-uploaded resumes in PDF or DOCX format alongside a specified job role or description, and leverages the OpenAI GPT-4o API via Spring AI to generate ATS compatibility scores, keyword gap analysis, and actionable improvement suggestions tailored to the target job profile. For interview preparation, ResuMentor deploys an AI voice agent that conducts a structured, 30-minute mock interview session, dynamically generating questions ranging from beginner to advanced level based on the parsed resume content. The platform employs the Web Speech API for real-time speech-to-text transcription, providing a live transcript visible to the user during the session. Post-session, a detailed feedback report evaluates the clarity, conciseness, and relevance of the candidate's responses with specific examples drawn from the transcript. The backend is developed using Java Spring Boot 3.3 with Spring Security and OAuth2 for Google-authenticated login, MySQL as the relational database, and Apache Tika for resume parsing. The frontend is built with plain HTML, CSS, and JavaScript, featuring a responsive dark/light theme toggle. A personalized dashboard tracks historical ATS scores and interview performance trends using Chart.js visualizations, enabling users to monitor their growth over time. ResuMentor demonstrates that integrating large language models into career development tools can significantly improve candidate preparedness and resume quality.

 

 

Published by: vikaspatanker

Authors: Victor Petrov, Kenji Nakamura, Thomas Bauer, Elena Garcia, Ananya Kulkarni

Abstract: Healthcare systems operate in highly dynamic environments where patient demand, workforce availability, and clinical resource utilization fluctuate continuously, creating significant challenges for effective talent coordination and resource planning. Traditional workforce management approaches within enterprise resource planning (ERP) systems often rely on historical reporting and static scheduling mechanisms that struggle to respond to real-time operational changes. The growing adoption of Internet of Things (IoT)–enabled medical devices and hospital telemetry infrastructure has created opportunities to capture continuous streams of operational data across healthcare environments. This study proposes a real-time healthcare talent orchestration framework that integrates IoT-driven telemetry, scalable big data pipelines, and artificial intelligence–based forecasting models within enterprise ERP architectures. Telemetry data generated from clinical monitoring systems, hospital infrastructure sensors, and workforce management platforms are processed through distributed big data pipelines capable of handling high-velocity operational information. Machine learning algorithms analyze these data streams to forecast patient inflow, anticipate staffing requirements, and identify potential operational bottlenecks before they impact service delivery. By embedding predictive insights directly into ERP-driven workforce coordination systems, healthcare organizations can dynamically adjust staffing allocations, optimize resource utilization, and support proactive decision-making. The proposed approach demonstrates how combining IoT telemetry, big data engineering, and AI-based forecasting can significantly improve workforce agility, operational efficiency, and service continuity in modern healthcare environments.

DOI: https://doi.org/10.5281/zenodo.18813979

 

Published by: vikaspatanker