Global Journal of Computer Science and Technology (GJCST)
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Utilise 5G Mobile Handset as DAO and node in Layer 1 Proof of Authority Blockchain
Full text linkAs the demand for real-time secure and scalable transactions continues to rise the intersection of 5G mobile connectivity and blockchain technology presents a promising solution This paper proposes a novel approach to leverage the high-speed and low-latency capabilities of 5G mobile networks integrating them as nodes in a Layer 1 Proof of Authority PoA blockchain architecture for microtransactions Several advantages are achieved by utilising 5G mobile connections as nodes in the blockchain network Firstly the ultra-fast data transmission speeds and low network latency of 5G networks enhance the efficiency of blockchain transactions enabling near-instantaneous settlement of microtransactions Secondly the distributed nature of the blockchain combined with the security features provided by 5G networks ensures a robust and tamper-proof transactional environmen
Guideline for Including Unperceivable Knowledge in a Universal Ontology Experimentation Field Ontology Malagasy
Full text linkThis article suggests a cognitive approach to initiate the inclusion of unperceivable worlds into established ontologies We qualify as unperceivable any world that escapes automatic data exploration because of the leak of sufficient documentation Initially based on knowledge engineering the approach aims in the long term at the automatic production of knowledge vectors that can be assimilated to existing corpora It leverages a proven and extendable universal ontology and is experienced in the emerging world of Malagasy cultur
Cyber Crime and Its Entext
Full text linkAny crime that uses a computer or network is considered a cybercrime sometimes known as computer crime People and businesses are exposed to the expanding hazards of cybercrime as a result of their increased reliance on technology Nowadays it s pretty typical for us to use computers for our daily task
Performance Evaluation of Linux Operating Systems
Full text linkRecently Linux has undergone a significant progress and since it provides many helpful features to companies and home users it has become one of the most commonly used operating systems in IT industry Considering the popularity of available Linux distributions three Linux desktop distributions were selected for further evaluation The idea of this paper is to evaluate performance and compare three different Linux distributions and their influence on processor memory graphics system and disk drive performance Measurements were performed with a three different benchmarking tools specialized for a specific computer component All Linux operating system distributions were installed on the same desktop computer and based on the achieved performance measurement results it was concluded that the best results were achieved by using Pop OS 20 04 Linux distribution which is very surprising because it is a relatively new distribution on the marke
Coping with Data Inconsistencies in the Integration of Heterogenous Data Sources
Full text linkThis research examines the problem of inconsistent data when integrating information from multiple sources into a unified view Data inconsistencies undermine the ability to provide meaningful query responses based on the integrated data The study reviews current techniques for handling inconsistent data including domain-specific data cleaning and declarative methods that provide answers despite integrity violations A key challenge identified is modeling data consistency and ensuring clean integrated data Data integration systems based on a global schema must carefully map heterogeneous sources to that schema However dependencies in the integrated data can prevent attaining consistency due to issues like conflicting facts from different sources The research summarizes various proposed approaches for resolving inconsistencies through data cleaning integrity constraints and dependency mapping techniques However outstanding challenges remain regarding accuracy availability timeliness and other data quality restrictions of autonomous sources Additional research is needed to develop more automated ways of reconciling inconsistencies from source data with the requirements of the global schema The ability to provide high-quality integrated data is crucial for organizations to maximize the value of their information assets This research aims to promote further investigation into semi-automated remediation of inconsistencies and leveraging source data quality metrics to aid the integration process Overcoming inconsistencies is critical to enabling unified views and meaningful analytics from merged cross-organizational dat
Providing in RDBMSs the Flexibility to Work with Various Non-Relational Data Models
Full text linkThe inability of pure relational DBMSs to meet the new requirements of the applications which have emerged on the web has led to the advent of NoSQL DBMSs In recent years significant progress has been made in integrating into relational DBMSs the features essentials for taking into consideration these new requirements which mainly concern flexibility performances horizontal scaling and very high availability This paper focuses on the features which can enable the relational DBMSs to provide applications with the flexibility to work with various non-relational data models while providing the guarantees of independence integrity and performance of query evaluatio
Literature Study on Analyzing and Designing of Algorithms
Full text linkThe fundamental goal of problem solution under numerous limitations such as those imposed by issue size performance and cost in terms of both space and time Designing a quick effective and efficient solution to a problem domain is the objective Certain problems are simple to resolve while others are challenging To develop a quick and effective answer much intelligence is needed A new technology is required for system design and the foundation of the new technology is the improvement of an already existing algorithm The goal of algorithm research is to create effective algorithms that improve scalability dependability and availability in addi
Critical Success Factors of Remote ERP Implementation: From System Users’ Perspective
Full text linkThe study explores critical success factors of remote ERP implementation in the Sri Lankan context from system users perspective As a result of the Covid-19 pandemic ERP implementation has become more complicated and ERP software vendors have shifted to remote ERP implementations Although there are several studies on identifying Critical Success Factors CSFs in ERP implementation there is a void in the literature on identifying CSFs in remote ERP implementation As a result of the literature review it was discovered that only a small amount of research has been done on remote ERP implementation Therefore the current study tries to bridge these gaps by identifying the CSFs of remote ERP implementation during Covid-19 by taking Sri Lanka as a case stud
A Cybersecurity Model for a Roblox-based Metaverse Architecture Framework
Full text linkThe adoption of virtual reality VR and augmented reality AR headsets in futuristic and science fiction has made it possible for the Metaverse to exist as a single universal immersive virtual universe By extending technology outside of our physical reality the Metaverse alters the human experience The four categories we use to categorize metaverse definitions are environment interface interaction and social value Currently it is unclear what the metaverse s structure and elements are A cybersecurity framework for these devices is necessary as the world grows more interconnected and immersive technologies are increasingly widely used in business government and consumer markets Used was a literature revie
Critical Analysis of Solutions to Hadoop Small File Problem
Full text linkHadoop big data platform is designed to process large volume of data Small file problem is a performance bottleneck in Hadoop processing Small files lower than the block size of Hadoop creates huge storage overhead at Namenode s and also wastes computational resources due to spawning of many map tasks Various solutions like merging small files mapping multiple map threads to same java virtual machine instance etc have been proposed to solve the small file problems in Hadoop This survey does a critical analysis of existing works addressing small file problems in Hadoop and its variant platforms like Spark The aim is to understand their effectiveness in reducing the storage computational overhead and identify the open issues for further researc