Volume 12 | Issue 4 |

 Abstract

This study focused on developing a 2.4 GHz broadband microstrip antenna using the SLOT-LOADED algorithm. The design was refined using the ANSOFT HFSS application, including the coaxial feed section. The antenna was tuned to operate at the desired frequency with optimal parameters. Key variables such as resonance frequency, bandwidth, VSWR, gain, and radiation pattern were sequentially investigated. The final design achieved a bandwidth of 320 MHz with a center frequency of 2.4 GHz, meeting simulation requirements. Testing involved a signal generator and spectrum analyzer, with results analyzed using HFSS graphs. The received power level validated the bandwidth, and the test findings were satisfactory. Further analysis is recommended in interference-free environments with more sophisticated equipment.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Microstrip Antenna, SLOT-LOADED, ANSOFT HFSS, Coaxial Feed, Bandwidth, Voltage

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The role of Medical libraries and librarianship are always changing with the development of new technological gadgets and advancement in medical sciences. The emergence of Information & Communication Technology (ICT) has left a great impression on the growth and development of Medical institutions and their libraries worldwide. Today, the library & information science world is witnessing the ongoing transformation in the availability and accessibility of resources and services at a speed of nanoseconds. Thus, it is important to know the status and usage of ICT in Medical College Libraries. The present study is an attempt to examine the use and impact of the modern ICT in SKIMS Medical College Library. In addition the study also aims to attain the following objectives-To find out the current status of library automation in the SKIMS medical college library, to study the use of ICT and e-resources by medical students, , to determine attitude of medical students towards ICT enabled library, to find out the level of awareness of using these digital information resources; To find out the level of satisfaction of users for existing ICT facilities, to find out the problems faced by library users and staff related to ICT. To fulfill the objectives a small structured questionnaire was distributed among the UG and PG medical students who are visiting the Central library frequently and library professionals through Google form to collect the desired data. Besides this, content analysis was also used to gather the previous data about the topic. The result highlights that librarians support ICT applications in their campuses by maintaining different resources and giving access to various online resources. Most of the respondents believed that ICT is essential for their medical education and research. The findings of the study also reveal that the librarians at the beginning face multiple challenges to support and promote ICT because of the lack of proper training, infrastructure and network facility. At the end, the paper also provides some suggestions for strengthen the healthcare education and research by using ICT.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Technological gadgets, Information & Communication Technology (ICT), e-resources

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Brain tumors are a critical healthcare concern, necessitating timely and accurate diagnosis to enhance patient outcomes. This research paper explores the application of Convolutional Neural Networks (CNNs) in automating the detection of brain tumors from medical images, such as MRI scans. The proposed CNN model leverages its ability to learn intricate image features and patterns, making it suitable for this complex task. The research methodology involves a comprehensive dataset of brain MRI scans, including both tumor and non-tumor cases, to train and evaluate the CNN. The CNN architecture is designed to capture relevant spatial information and to minimize overfitting through techniques like dropout and batch normalization. Transfer learning is employed with pre-trained CNN models to boost the model's performance even with limited training data. Our experimental results demonstrate the CNN's capability to accurately classify brain images, achieving high precision, recall, and F1-score values. The CNN model exhibits robust generalization to previously unseen data and showcases potential for real-world clinical applications. This research provides a foundation for the development of automated brain tumor detection systems that could assist medical professionals in the early diagnosis of brain tumors, ultimately improving patient care and outcomes. Furthermore, it highlights the significance of deep learning techniques, specifically CNNs, in the field of medical image analysis and their potential for broader application in healthcare.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Brain Tumor, Image Processing, Artificial Net- works, Convolutional Neural Network

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Additionally, the ARP Spoofing Detection script is an essential defense mechanism in the field of network security. Its purpose is to resist the ubiquitous threat that is posed by ARP spoofing assaults. Through the utilization of sophisticated algorithms, the script does a rigorous monitoring of ARP data inside local networks, identifying irregularities that are suggestive of efforts to spoof. Verifying the validity of ARP mappings is accomplished via the use of techniques such as ARP cache validation. This helps to ensure that network communications are not compromised. In the event that network managers are provided with actionable insights and real-time warnings, they are able to promptly respond to abnormalities that have been noticed, therefore applying targeted mitigation techniques to strengthen network defenses. When it comes to protecting the security and integrity of sensitive data in today's linked digital world, the ARP Spoofing Detection script is an essential component of a multi-layered protection plan. It plays a vital role in this regard.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ARP Spoofing, Mechanism, Network Security, Detection, Technique.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research delves into the integration and impact of Social Media Websites within a college setting, specifically focusing on their role in cultural and technical societies. The study investigates user engagement, the effectiveness of society-specific pages, and the platform's contribution to event updates, particularly the annual college fest. Employing a mixed-methods approach, combining quantitative metrics and qualitative insights from students and teachers, the research highlights the platform's significance in fostering community engagement and communication.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Campus Engagement, Social Media, MongoDB, Express.js, React.js, Node.js

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Road safety is becoming a bigger problem, and the repeated disastrous effects of collisions and injuries emphasise how important it is to take action to lower these risks. Acceptance of the helmet's vital role in preventing head injuries significant part in this safety framework. obligatory legal requirements to protect the quality and helmet safety emphasise the significance of ISI labelling as a sign on helmet. In this research work, we use supervised machine learning to detect the ISI mark on a helmet. adherence to these guidelines.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CNN , Tensorflow , Keras

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Banglay Bongobhango virodhi o Swadeshi andolane narir bhumika

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Banglay Bongobhango virodhi o Swadeshi andolane narir bhumika

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Student assessment is a crucial part of teaching and is done through the process of examinations and preparation of exam question papers has consistently been a matter of interest. Present-day technologies assist the teacher to stock the questions in a computer databases but the problem which emerges is how the present day technologies would also assist the teachers to automatically create the variety sets of questions from every now and then without worry about replication and duplication from the previous exam while the question bank keeps growing, so a non-automatic path for conniving a exam paper would not be able to serve to this need so in this paper we introduce an automated way which would permit the operation of conniving exam paper to be further well organized and productive and it would also aid in developing a database of questions The main scope of the project is to develop A design of suitable automated system for generating question papers and managing related data may prove vital in an Educational Institute.In this project, we have proposed an integrated automated system that stores questions related to a particular course and prints a question paper based on its syllabus and curriculum. We have implemented a role-based hierarchy which restricts access to the users. The system also deploys security mechanisms that prohibit duplication of question papers. There are provisions to enter and edit data suitable to any educational organization with complete freedom for specifying courses, semesters, syllabus and patternr autonomous institutes. The endeavor needed for generating question paper is diminished after the implementation of this advanced system and because of this advanced system there is no obligation for humans to ponder and employ time which can be utilized on some additional important duty instead of designing question paper

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Automatic Question Generation , Randomized Algorithm

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the age of information overload, discerning fact from fiction has become a critical challenge. Sifting through fiction means critically evaluating information to distinguish fact from falsehood. This paper tries to explore the role Indian libraries can play in combating fake news. However, the study shows there is no national initiative; some libraries organize occasional information literacy events. Different Strategies taken in India for identifying fake news are also shown. But no initiatives run consistently, except fact-checking websites. Due to the digital divide in India, information literacy initiatives do not reach a wider population. Linguistic problems also play a significant bad effect in this regard. By analyzing the information landscape in India and outlining key aspects of information literacy, this paper proposes a framework for information literacy programs for what libraries can do to combat fake news.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fake News, Information Literacy, Indian Library, Fact-Checking Websites, Digital Divide, Fiction.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

G-20 Me Bharat Ki Bhumika , Lakshy Avm Parinam

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

G-20 Me Bharat Ki Bhumika , Lakshy Avm Parinam

  License

Creative Commons Attribution 4.0 and The Open Definition