PH: +91-9888934889 E-Mail: editornrjitis@gmail.com ISSN: 2350-1278

National Research Journal of Information Technology & Information Science

An International Reputed Peer Reviewed Refereed Research Journal I Open Access Journal I Impact Factor: 7.9
Submit Papers Online
  • Home
  • Current Issue
  • Archives
  • Editorial Board
  • Submit Paper
  • Indexing
  • Research Areas
  • Author Instructions
  • For Authors
    • Manuscript Guidelines
    • Copyright Agreement Form
    • View Paper Template
  • Subscribe Journal
  • Contact
Business Economics
Sales And Marketing
Human Resource Management
Banking And Finance
Information Technology And Information Science
Education And Psychology
Biotechnology And Biosciences
Literary Aesthetics
Social Science
Business Economics Sales And Marketing Human Resource Management Banking And Finance Social Science
Information Technology And Information Science Education And Psychology Biotechnology And Biosciences Literary Aesthetics

Editorial Policy About Peer Reviewed Journal Publication Ethics & Practices Plagiarism Policy Open Access, Licencing & Copyright Disclaimer Policy Privacy Policy FAQ Special Issue About The Journal

Join Our Editorial Board

Latest Announcements

  • CALL FOR PAPERS 2025 (January-June)

    01-01-2025
    SUBMIT PAPERS IN OUR RESEARCH JOURNAL! 2025
    National Research Journal of Information Technology and Information Science  contributes in the growth and application of Research & Technology, by delivering the latest information contained in research papers, which enables them to enhance understanding for advancements in research activities. We intends to Disseminate and promote the research works of research scholars, Academia.

  • Subscribe This Journal

    01-01-2025
    We Request to Subscribe our Journals for the Noble Cause to Spread Knowledge, Wisdom and also to Protect Intellectual Property Rights of Scholars Across the World.

    Subscription Price: 3500/- (Bi-Annual)

    CALL NOW!
    +91-9888934889, 7986925354

Publish
Conference
Or Seminar
papers in our journal

Read More

NRJITIS - National Research Journal of Information Technology & Information Science


About The Journal


The National Research Journal of Information Technology and Information Science (NRJITIS) (ISSN: 2350-1278)  is a peer reviewed Journal academic publication dedicated to advancing research and knowledge in the fields of Information Technology (IT) and Information Science. The journal serves as a platform for scholars, practitioners, and industry professionals to share innovative research findings, emerging technologies, and practical applications. It covers a broad range of topics including data science, cybersecurity, artificial intelligence, software engineering, information systems, digital transformation, and human-computer interaction & Library Sciences and other multidisciplinary related topics. The journal aims to foster interdisciplinary collaboration and contribute to the evolving landscape of IT and information science through high-quality, original research.

The Journal is Published By "National Press Associates"

  • Publisher Website: www.npajournals.org
  • Journal Name: National Research Journal of Information Technology and Information Science
  • ISSN: 2350-1278
  • Impact Factor: 7.9
  • Peer Review Process: Double Blind Peer Review Process
  • Low Article Processing Fees
  • Frequency of Publication: Biannual (2 Issues Per Year)
  • Languages: English
  • Accessibility: Open Access
  • Plagiarism Checker: Turnitin

The journal invites submission of manuscripts that meet the general criteria of significance and scientific excellence, and will publish:

  1. Original articles (research paper, short communications, etc)
  2. Review articles
  3. Conference reports
  4. Book reviews, etc.

Interested in submitting to this journal? We recommend that you review the About the Journal page for the journal's section policies, as well as the Author Guidelines.

Journal Email ID: editornrjitis@gmail.com

ENQUIRY NOW: +91-9888934889 (WhatsApp Link)


Current Issue

Year: 2026   Volume No: 13, January, Year: 2026 (Special Issue)

Paper Title LOW COST SMALL SIZE PATCH ANTENNA FOR WEARABLE APPLICATIONS
Author Name Sushil Kakkar & Shweta Rani
Country India
DOI https://doi.org/10.5281/zenodo.18933614
Page No. 1-6

Abstract View PDF Download Certificate
LOW COST SMALL SIZE PATCH ANTENNA FOR WEARABLE APPLICATIONS
Author: Sushil Kakkar & Shweta Rani

ABSTRACT
Present day wearable technology possesses a significant contribution in health monitoring systems. A small size cost effective patch antenna for wearable applications has been elaborated in this paper. The presented antenna is square in shape and designed with FR4 substrate. The dimensions of the antenna have been optimized using numerous simulations. In view to obtain the effect of slot on the performance of antenna, a rigorous analysis has also been performed.

Keywords: Antenna, micorstrip, wearable, radiation pattern.

Paper Title AN EXTENSIVE ANALYSIS OF GREEN COMPUTING: BENEFITS, CHALLENGES AND ROLE
Author Name Navneet Kaur Sandhu & Mohammad Wasiq
Country India
DOI https://doi.org/10.5281/zenodo.18933740
Page No. 7-10

Abstract View PDF Download Certificate
AN EXTENSIVE ANALYSIS OF GREEN COMPUTING: BENEFITS, CHALLENGES AND ROLE
Author: Navneet Kaur Sandhu & Mohammad Wasiq

ABSTRACT
The phrase "green computing" refers to the methods employed by the sector to reduce the amount of hazardous elements released into the environment as a result of the use of ICT resources. About 2% of carbon emissions come from this use, which is equivalent to aircraft. This information inspired the idea of green computing, or environmentally friendly computing. Numerous gadgets, mechanisms, and software have been created as a result of advancements in modern technology, and numerous studies have been carried out to maximize and expand the green computing capabilities of these technologies. Therefore, to determine the current developments, difficulties, and prospects for further research, a review and summary of studies based on green computing are necessary. Through an exploration of the twelve areas of green computing, this study reviewed and summarized green computing in each area study. Following a comprehensive comparison and analysis, this study offers answers to the suggested cutting-edge research questions. Additionally, this study outlines the present difficulties and prospects for further research in each field of green computing. This study will offer insights and ideas to institutions, researchers, and organizations involved in green computing research. Additionally, environmental groups, businesses, and government organizations working to lower energy use and carbon emissions will also gain from this review study.

Keywords: Green Computing, ICT, Carbon, Energy, Environment.

Paper Title ENHANCING REAL-TIME MONITORING: THE ROLE OF WIRELESS SENSOR NETWORKS IN MODERN APPLICATIONS WITH VMIMO
Author Name Mandeep Kaur Sekhon & Jagdeep Kaur
Country India
DOI https://doi.org/10.5281/zenodo.18933895
Page No. 11-15

Abstract View PDF Download Certificate
ENHANCING REAL-TIME MONITORING: THE ROLE OF WIRELESS SENSOR NETWORKS IN MODERN APPLICATIONS WITH VMIMO
Author: Mandeep Kaur Sekhon & Jagdeep Kaur

ABSTRACT
This literature review examines the fundamental concepts, applications, and advancements in Wireless Sensor Networks (WSNs), focusing on energy-efficient communication techniques using Single-Input Single-Output (SISO), Single-Input Multiple-Output (SIMO), Multiple-Input Single-Output (MISO), and Multiple-Input Multiple-Output (MIMO) systems. It highlights improvements in MIMO technology, explores energy models with MIMO, and evaluates performance metrics. The need for Virtual MIMO (vMIMO) is discussed, alongside strategies to make it energy efficient. A detailed comparison of vMIMO and traditional MIMO in terms of energy efficiency and an analysis of the challenges in implementing vMIMO in WSNs are provided. Suitable images and diagrams illustrate key concepts. The evolution of wireless communication technology has led to the development of Multiple Input Multiple Output (MIMO) systems, which utilize multiple antennas at both the transmitter and receiver ends to improve communication performance. In recent years, Virtual MIMO (vMIMO) has emerged as a promising alternative, particularly in Wireless Sensor Networks (WSNs), where energy efficiency is paramount due to the limited battery life of sensor nodes. This paper provides a detailed comparison of virtual MIMO and traditional MIMO in terms of energy efficiency, along with the main challenges associated with implementing virtual MIMO in WSNs.

General Terms
This paper explores the role of Wireless Sensor Networks (WSNs) in enhancing real-time monitoring through energyefficient communication techniques, including MIMO and vMIMO. It focuses on the advancements in MIMO technology, need for vMIMO and its benefits and main challenges of implementing vMIMO in WSNs are analyzed. A comparison between traditional MIMO and vMIMO is provided, highlighting their architectural and operational differences.

Keywords: WSN, Traditional MIMO, vMIMO, MIMO vs vMIMO.

Paper Title EXPLORING MACHINE LEARNING TECHNIQUES FOR THE DETECTION OF DDOS ATTACKS: A COMPREHENSIVE REVIEW
Author Name Rajni, Daljit Kaur, Inderdeep Kaur, Parminder Kaur & Harmandar Kaur
Country India
DOI https://doi.org/10.5281/zenodo.18933964
Page No. 16-27

Abstract View PDF Download Certificate
EXPLORING MACHINE LEARNING TECHNIQUES FOR THE DETECTION OF DDOS ATTACKS: A COMPREHENSIVE REVIEW
Author: Rajni, Daljit Kaur, Inderdeep Kaur, Parminder Kaur & Harmandar Kaur

ABSTRACT
As DDoS attacks get increasingly sophisticated, traditional detection approaches fail to keep up with the changing threat landscape. Machine learning provides powerful capabilities for detecting and mitigating assaults in real time. This review paper investigates various machine learning algorithms used to detect DDoS attacks, categorizing them as supervised,
unsupervised, and deep learning approaches. Supervised learning algorithms, such as Support Vector Machines (SVM) and Decision Trees, have been widely utilized to categorize attack patterns, although unsupervised learning techniques, such as clustering, provide advantages in detecting novel assaults without the need for labeled data. Deep learning models, notably Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), have shown exceptional performance in large-scale, dynamic assault scenarios. This review also examines the role of datasets, named KDDCup99 and CICIDS, which are used to train these models, and their success is evaluated using important performance indicators such as
accuracy, precision, and recall. This study examines recent breakthroughs, datasets, and performance indicators in order to guide future research and improve the resilience of cybersecurity defenses against DDoS attacks.

Paper Title A COMPREHENSIVE STUDY ON TRANSFORMER DESIGN USING NUMERICAL TECHNIQUES
Author Name Sarpreet Kaur
Country India
DOI https://doi.org/10.5281/zenodo.18934030
Page No. 28-35

Abstract View PDF Download Certificate
A COMPREHENSIVE STUDY ON TRANSFORMER DESIGN USING NUMERICAL TECHNIQUES
Author: Sarpreet Kaur

ABSTRACT
The aim of this study was to review the application of finite element techniques for solving complex transformer structures using modern software. The Finite Element Method (FEM), developed over the past 70 years to address intricate problems in civil and aeronautical engineering, has since found valuable applications in electrical engineering for solving complex
design challenges. This paper explores the use of FEM in transformer design, highlighting its effectiveness as a numerical tool for simulating structural components, optimizing materials, enhancing reliability, performing failure analysis, taking corrective actions, and verifying new designs under various loading conditions. The study concludes that FEM is a highly efficient approach for transformer design and analysis.

Keywords- Numerical Techniques, Finite Element Method, Transformer Design.

Paper Title A COMPARATIVE SURVEY OF RAO OPTIMIZATION ALGORITHMS: MULTI-OBJECTIVE APPLICATIONS AND HYBRID TECHNIQUES IN ENGINEERING DESIGN
Author Name Shubhangi Jagdish Kamble
Country India
DOI https://doi.org/10.5281/zenodo.18934242
Page No. 36-44

Abstract View PDF Download Certificate
A COMPARATIVE SURVEY OF RAO OPTIMIZATION ALGORITHMS: MULTI-OBJECTIVE APPLICATIONS AND HYBRID TECHNIQUES IN ENGINEERING DESIGN
Author: Shubhangi Jagdish Kamble

ABSTRACT
This paper presents a comprehensive survey of the Rao optimization algorithm focusing on its applications in the omnidirectional domain, including robotics, image processing, machine learning, and renewable energy systems. Rao’s adaptability and robustness make it an effective tool for solving complex, high-dimensional, nonlinear, and dynamic optimization problems. A key contribution is the exploration of hybrid Rao algorithms, such as Rao-Particle Swarm Optimization (PSO), Rao-Differential Evolution (DE), and Rao-Genetic Algorithms (GA) to address challenges like slow convergence in high-dimensional spaces. The paper highlights Rao's potential in real-time applications, such as autonomous robot path planning and machine learning hyper-parameter tuning. Additionally, it examines Rao’s role in multi-objective optimization, a crucial aspect of engineering design and system optimization. The study underscores Rao's strengths in handling dynamic optimization tasks, balancing exploration and exploitation, and improving convergence speed through hybrid approaches. A comparative analysis with other meta-heuristic algorithms like GA, PSO, and DE shows Rao’s superior global search capability and computational efficiency. The results demonstrate Rao’s versatility and potential for solving real-world optimization problems, especially in high-dimensional, dynamic environments. This survey provides valuable insights for researchers and practitioners aiming to use Rao optimization for complex, real-time, and
multi-objective tasks in various domains.

Keywords— Rao optimization, renewable energy systems, hybrid algorithms, multi-objective optimization, robotics, image processing, machine learning

Paper Title DEEP LEARNING FOR REAL-TIME ROUTE OPTIMIZATION IN TOURISM APPLICATIONS
Author Name Disha Sharma, Usman Ali, Aman Kumar Aditya, Gurleen Kaur & Astha Rathore
Country India
DOI https://doi.org/10.5281/zenodo.18934961
Page No. 45-51

Abstract View PDF Download Certificate
DEEP LEARNING FOR REAL-TIME ROUTE OPTIMIZATION IN TOURISM APPLICATIONS
Author: Disha Sharma, Usman Ali, Aman Kumar Aditya, Gurleen Kaur & Astha Rathore

ABSTRACT
Weak environmental factors, such as weather conditions, shifting user preferences, along with road traffic control impact travel efficiency in tourism. Therefore, real-time route optimization models are needed for ensuring smooth and efficient travel for the user. The paper explore how deep learning methods can boost route optimization in tourism systems. The application uses real-time position system and traffic report and weather forecast data to adjust travel routes which delivers customized and optimized routes. Travelers obtain adaptable route recommendations from the system after it factors in their preferences and past travel data and external boundary restrictions to enhance their whole travel experience. If we compare the traditional models over the models used in this paper that is Deep learning-models then we could clearly see a better flexibility and higher accuracy as well as increased computational efficiency. The integration of deep learning
technology improves real-time decision processes in tourism-based navigation systems which leads to time reduction and increases user satisfaction levels.

General Terms
Deep Learning, Route Optimization, Tourism Navigation, Real-time Systems, Traffic Management, Weather Forecasting, User Preferences, Computational Efficiency

Keywords: Deep learning, route optimization, tourism, real time navigation, traffic prediction, personalized travel

Editorial Policy About Peer Reviewed Journal Publication Ethics & Practices Plagiarism Policy Open Access, Licencing & Copyright Disclaimer Policy Privacy Policy FAQ Special Issue About The Journal

Latest Announcements

  • CALL FOR PAPERS 2025 (January-June)

    01-01-2025
    SUBMIT PAPERS IN OUR RESEARCH JOURNAL! 2025
    National Research Journal of Information Technology and Information Science  contributes in the growth and application of Research & Technology, by delivering the latest information contained in research papers, which enables them to enhance understanding for advancements in research activities. We intends to Disseminate and promote the research works of research scholars, Academia.

  • Subscribe This Journal

    01-01-2025
    We Request to Subscribe our Journals for the Noble Cause to Spread Knowledge, Wisdom and also to Protect Intellectual Property Rights of Scholars Across the World.

    Subscription Price: 3500/- (Bi-Annual)

    CALL NOW!
    +91-9888934889, 7986925354

Publish
Conference
Or Seminar
papers in our journal

Read More

National Research Journal of Information Technology & Information Science

+91-9888934889

editornrjitis@gmail.com

Useful Links

  • Home
  • About The Publisher
  • Submit Paper Online
  • Call for Papers
  • Publication Ethics
  • Join Our Editorial Board
  • Journal Subscription
  • Contact Us

Explore Other Journals

  • NRJ of Human Resource Mgt.
  • National Research Journal of Business Economics
  • Sales and Marketing Management
  • Banking and Finance Management
  • Academe: Journal of Education and Psychology
  • Research and Reviews in Biotechnology and Biosciences
  • Journal of Literary Aesthetics
  • Social Science Journal

Downloads

  • Copyright Form
  • Paper Template
  • Manuscript Guidelines
  • e-Certificate
  • Sitemap
© 2026 National Research Journal of Information Technology & Information Science. All Rights Reserved.
Published By: National Press Associates www.npajournals.org