LC International Journal of STEM (ISSN: 2708-7123)
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A Modified Ratio Estimator in the Presence of Tri-Mean and Interquartile Range for the Estimation of Population Variance
Get PDFIn this paper, a modified ratio estimator in the presence of tri-mean and interquartile range, for estimating the population variance is proposed. Having studied the estimator proposed by Yadav et al. (2017) where they made use of information on tri-mean and inter-quartile range of the auxiliary variable to improve the estimate and efficiency of the variance estimator for estimating the population variance. The bias and mean squared error of the proposed estimator were derived up to first order of approximation and conditions for which the proposed estimator more efficient than other estimators considered in the study were also established. Numerical illustration was conducted using Murthy (1967) and Singh and Chaudhary (1986) datasets. It was shown that the proposed modified ratio estimator perform better than some existing related ratio estimators
Exploring the Nexus of Cryptocurrency and Telecommunication: A Comprehensive Literature Review
Get PDFThe rapid evolution of cryptocurrency and telecommunication technologies has brought about significant changes and challenges in various domains. This systematic literature review paper delves into the intricate relationship between cryptocurrency and telecommunication, with a comprehensive examination of key issues, challenges, and potential solutions. By synthesizing insights from a set of 11 relevant articles, this study explores the impact of cryptocurrency on data centers, legal safeguards for block chain and cryptocurrency activities, privacy and security considerations in cryptocurrency transactions, the integration of block chain technology in 5G networks, and the diverse applications of block chain across various domains. The overarching aim of this paper is to provide a holistic understanding of the multifaceted intersection of cryptocurrency and telecommunication. It examines how these themes interconnect and influence each other, offering insights into the implications for industry stakeholders, policymakers, and researchers. By identifying common trends, gaps in the existing literature, and areas requiring further investigation, this review serves as a valuable resource for comprehending the complex dynamics of the cryptocurrency-telecommunication landscape
A Systematic Review of Intelligent Smart Traffic Control Systems (ITCs) using Image Processing Techniques
Get PDFAutomatic number plate recognition (ANPR) is a technology to control traffic in smart cities. The ANPR technology has become very important in daily life with the addition of vehicles, traffic violations, and controlling traffic issues. This article aims to review different smart traffic control methodologies used to develop better results in the past few years. This paper presents a comprehensive review of intelligent smart traffic control systems (ITCs) using image processing techniques. We first investigate the major challenges, including the detection of number plate formats and the recognition of characters. We specifically investigate different ANPR techniques that include the acquisition, segmentation, classification, detection, and recognition of number plates. The paper determined that utilizing additional image processing techniques resulted in successful outcomes. Finally, the paper suggests potential areas for future study to improve the accuracy and correctness of image processing methods
Measuring the Need of Using Virtual Laboratory Based on Multimedia Technology as a Teaching and Learning Tool for Colleges Students at Tikrit University
Get PDFOver the years, virtual reality has become an essential part of education. Therefore, to determine the advantages and strengths of this technique and technology is understanding how can developed it and measured is crucial. In the same context, there has been changes in the educational field, Changing from the traditional lab environment to a virtual lab. Therefore, this study focuses on virtual laboratories. Indeed, the use of VL to remotely is to understand the practical part in an effective education. In other words, this study focused on educational research and student profiling in the virtual laboratory by making a qualitative analysis. So far, there is no research that provides student data connectivity in virtual labs and learning analytics. To develop this concept, the analysis for active learners and their learning understandings and knowledge was conducted at differents colleges of Tikrit University by using a qualitative method (discussion). To achieve that, this study aims to examine whether virtual laboratory is required in Tikrit University colleges to supporting traditional lab in the learning process. Finally, the results show that there is a strong need for the virtual lab to process the difficult practical aspects for some of the students in the sciences field such as medicine, dental, biology, and chemistry
Data Security Using Steganography
Get PDFSteganography is a fascinating topic that is unique from the everyday cryptography and system administration that most of us deal with. Steganography is a type of code that can be used to communicate covertly. We looked into steganography's theoretical and practical limitations. We used the LSB methodology to print out the picture steganography system enhancement to provide a secure communication method. This steganography computer software shows how to use any text format to hide any type of information. The capacity of this application to support any type of text is its crowning achievement. Since prehistoric times, man has yearned for the capacity to converse in a private manner. Steganography isn't just for military or espionage objectives, as evidenced by the recent boom in research into watermarking to safeguard intellectual property. Steganography, like cryptography, will become more important in the future for safe communication in the "digital world"
Impact of Edge Detection Algorithms on Different Types of Images using PSNR and MSE
Get PDFEdge detection is the process of detecting sharp changes in image brightness in a digital image. It aids in the recognition of an object and its shape in an image. As a result, edge detection plays a vital role in image processing, especially in domains like segmentation, image registration, and object identification. This paper is an attempt to study the impact of several edge detection algorithms such as Sobel, Prewitt, Robert, Kirsch, Robinson, Laplacian of Gaussian (LOG) and Canny. The three different types of images such as medical , natural and satellite images are considered for experiment. Performance measures used for comparison are Mean Squared Error (MSE) and Peak Signal to Noise Ratio (PSNR)
Network Optimization and Network User Access Limitations Using Mikhmon Server at Diskominfo Palembang City
Get PDFTechnological advancements have a significant impact on how people live their lives and offer a variety of advantages and conveniences. This trend also applies to computer network technology, whose primary goal is to facilitate information sharing among users. Behind these benefits and conveniences, there are drawbacks as well. For example, it is simple for other users to discover what data is sent over the network and enter the network without authorization. The goal of this project is to create a system that uses an authorization mechanism to restrict network users. This system was created by combining various work systems between the Mikrotik router serving as the gateway router for guests logging into the network at DISKOMINFO Palembang City and the Mikhmon server. The Network Development Life Cycle is employed as a technique (NDLC). The server and router's ability to grant internet access for the used voucher code and the time limit's ability to bar users from the network because the time used has passed allows for the verification of the test results produced by the generated voucher code. This technology can help DISKOMINFO Palembang City with its issues with separating its internal network from user guest networks (guest users) and can build a secure network even though guests access the internet through the company's internal network
Virtual Machineβs Network Security
Get PDFNetwork virtualization has become progressively unmistakable lately. It enables the creation of organizational frameworks that are expressly tailored to the requirements of distinctive organizational applications and facilitates the introduction of favorable circumstances for the occurrence and evaluation of new designs and conventions. Despite the extensive materiality of organizational virtualization, the widespread use of communication channels and steering devices raises a number of safety-related issues. To enable their use in real, large-scale settings, virtual organization foundations must be given security. In this paper, we see the details of industry's top practices for virtual organization security. We discuss some of the major risks, the main challenges associated with this type of climate, as well as the arrangements suggested in the text that aim to handle various security vantage points. Virtualization is a notable thought having applications in different fields of registering. This strategy takes into consideration the production of numerous virtual stages on a solitary actual framework, taking into consideration the execution of heterogeneous models on a similar equipment. It might likewise be used to streamline the use of actual assets, on the grounds that a manager can progressively make and erase virtual hubs to satisfy fluctuated degrees of need. Virtual Machineβs Network Security is an important topic in todayβs world, due to the rapid increase in the use of virtual machines. Virtual machines provide a more efficient, cost effective and secure way of running applications and services. However, there are some security risks associated with virtual machines which must be tackled to ensure the safety and security of the network. This paper presents security principal known as Nonrepudiation which authenticates the delivery of messages and transaction using Digital Signature method. Furthermore, an overview of the security threats and solutions associated with virtual machines and their networks, including the different types of threats, solutions and best practices to protect against them. Additionally, the paper discusses the importance of monitoring and logging in virtual machines. Finally, the paper concludes with a few recommendations for countermeasure the security of virtual machines and their networks
Performance analysis of medical image compression using DCT and FFT Transforms
Get PDFThere is a high demand for image compression since it reduces the computational time, which in turn reduces the storage and transmission costs. Image compression involves reducing excessive and irrelevant data while maintaining reasonable image quality. Image compression techniques such as the Discrete Cosine Transform (DCT) and Fast Fourier Transform (FFT) are the focus of this study. These tools were selected because of their wide application in image processing; one example is JPEG (Joint Photographic Experts Group), which uses DCT for compression. A comparison is made between DCT and FFT, two compression methods implemented in MATLAB. CT and MRI images are used for an experiment, the quality of an image is determined by various parameters. To perform DCT the filter mask is used and a threshold is used for FFT to keep the top coefficient values. The experimental findings are compared and evaluated in terms of Peak Signal to Noise Ratio (PSNR) and Compression Ratio (CR)
Comparative Analysis of Text Mining Techniques for News Article Summarization
Get PDFText mining research paper is a scientific study that focuses on the development and application of text mining techniques for extracting valuable information from unstructured textual data. The paper discusses the challenges of working with unstructured data and the need for advanced text mining techniques to address these challenges. The paper outlines the various steps involved in the text mining process, such as data preprocessing, text representation, and feature selection. It discusses the importance of selecting appropriate algorithms for different types of text mining tasks, including text classification, clustering, sentiment analysis, and topic modeling. The paper also discusses the challenges of evaluating text mining models, including issues related to data quality, model performance, and interpretability. It highlights the importance of using appropriate evaluation metrics and techniques to ensure the reliability and validity of the results. Finally, the paper provides case studies and real-world examples of text mining applications in various domains such as healthcare, social media analysis, and financial analysis. It emphasizes the potential of text mining to provide valuable insights and knowledge that can be used to support decision-making in different industries. Overall, the paper highlights the importance of text mining as a powerful tool for analyzing unstructured textual data and provides a comprehensive overview of the key techniques and challenges in this field