International Journal of Communication Networks and Information Security (IJCNIS)
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1021 research outputs found
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Advancements in Natural Language Processing: Enhancing Machine Understanding of Human Language in Conversational AI Systems
No full textThis paper aims to review the recent developments in Natural Language Processing and their implications to the improvement of current comprehension in conversational AI interfaces. The comparison of four leading NLP models, namely BERT, GPT, T5 and XLNet is carried out systematically with respect to the major tasks of conversational interfaces including text generation, sentiment analysis and question answering. Based on the performance predicate that I used, it is clear that BERT has a 91% accuracy level. 5%, GPT 88. 2%, T5 89. 6%, and XLNet 90. 3%. Precision scores were precise to the second decimal place for BERT at 92. of reserves as 1%, while keeping GPT at 87%. 9%, T5 at 88. 5%, while last comes the averagely performing XLNet at 89. 7%. On the aspect of recall rates, BERT had a slightly better performance at 90.8%, GPT at 86. 5%, T5 at 87. ; 87% BERT, 88% RoBERTa, 89% XLNet. 2%. The recognized F1-scores were as well highest in BERT where it obtained 91. 4%, and XLNet at 89%. 5%, T5 at 88. Metcash Group Ltd at 17, Coles Group at 28, Woolworths at 10, Metcash Ltd at 6% and GPT at 87. 7%. This paper shows that BERT surpasses GPT-T5 in terms of accuracy and precision; however, GPT and T5 are better suited for text generation applications. These models contain theoretical and practical value in analyzing their advantages and drawbacks, which makes the base for choosing the suitable tools of NLP for definite uses and developed future conversational AI appliances
Wireless Energy Harvesting (Weh) and Spectrum Sharing In Cognitive Radio Networks
No full textIt is detailed how one possibility exists for making use of wireless energy in the context of a decode-and-forward relay-assisted secondary user (SU) network that functions according to the guidelines of a cognitive spectrum sharing paradigm. The maximum power that the source and relay in the SU network can transmit from the harvested energy, the peak interference power from the source and relay in the SU network at the primary user (PU) network, and the interference power of the PU network at the relay-assisted SU network are the power constraints that were used to derive an expression for the outage probability of the relay-assisted cognitive network. According to the findings of the research, a relay-assisted network that makes use of the recommended wireless energy harvesting protocol has the potential to operate with an outage probability that is less than 20% for particular applications that take place in the real world. The performance limitation that was placed on the primary system is what is utilised to establish the optimisation challenge that has to be met in order to maximise the area throughput of the secondary system. After analysing the performance of the system with the help of the stochastic geometry theory, we developed a method that evenly distributes the available bandwidth and time resources in such a way as to make it possible for electromagnetic transmission as well as data transfer. Data on performance are provided to highlight how the various system parameters interact with one another and to assist with our theoretical research
An Enigma of Electoral Financing in India: The Electoral Bond Fiasco
No full textThe donation made by corporate concerns to political parties through electoral bond scheme is an effort to increase donor anonymity and transparency. This paper critically examines the phenomenon of fraudulent activities resultingfrom donations, particularly focusing on the misuse of corporate funding through electoral bonds in political contexts. A major area of study is political funding, particularly corporate donations to political parties, governed by sections 80GGC and 80GGB of the Income Tax Act, 1961. Through a comprehensive analysis of legal frameworks, historical amendments, and recent data, the study investigates how corporations circumvent regulations to donate substantial sums to political parties, even in cases of financial losses or negligible tax payments. Notably, the study raises concerns about the origins of funds for donations exceeding profits, hinting at potential tax evasion and money laundering. The results highlight the critical need for regulatory changes to stop illegal donations and guarantee accountability and openness in political funding. The paper concludes with recommendations, advocating for stricter donation limitations on both individuals and corporations also proposing complete prohibition or stringent controls on corporate contributions to mitigate undue influence on governance
Rainbow Connection Number and its Applications in the Generator Graphs
No full textIn the study of graph theory, the Rainbow Connection number as well as the strong Rainbow Connection numbers are two crucial variables. In this work, Rainbow Connection number and also the strong Rainbow Connection numbers of the Generator Graphs based on modular groups are evaluated. In additive modular groups ( , two cases arise when n is prime and n being composite and further for the composite n, two more cases arise when the cardinality of generators are equal and not equal. Generator Graphs of multiplicative modular groups exist only for prime n where, there are two cases when the cardinality of generators is equal and not equal. The inverse graphs of Generator Graphs of modular groups are defined and we have investigated the inverse graphs' Rainbow Connection number along with its strong Rainbow Connection number. The paper is concluded with an algorithm which provides a thorough knowledge of the relation between the Rainbow Connection number and strongly Rainbow Connected cardinalities of these Generator Graphs and inverse graphs, which has wide application in Fuzzy Graph Network Theory
A proposed Framework for Integrated Management System (IMS)
No full textDeveloping and implementing an Integrated Management System (IMS) can reduce paperwork, minimize costs, and improve system effectiveness and efficiency, allowing companies to remain compliant with the latest standards and regulations. By achieving operational excellence, IMS helps organizations thrive in today's global markets. Organizations are increasingly developing sustainable IMS based on improved economic, environmental, and social performance. The IMS informs current decisions by considering not only the usual economic factors but also social and environmental factors, ensuring the enterprise's perpetuity. However, limited scientific research exists on the specific impact of IMS on organizations. This paper aims to address this knowledge gap and contribute to theoretical understanding by reviewing the literature on the impact of IMS on organizations and by developing a framework that can guide future research. This paper also aims to contribute to practice by helping managers understand IMS better
Development of Student Result Management System Using Java as Backend
No full textThis research paper presents the development and implementation of a Student Result Management System (SRMS) using Java as the backend technology. The system aims to streamline the process of managing and analyzing student academic performance in educational institutions. By leveraging Java's robust features and object-oriented programming paradigm, the SRMS provides a secure, efficient, and user-friendly platform for administrators, teachers, and students to interact with academic data. The paper discusses the system architecture, database design, key features, and implementation details, including code samples and performance analysis. The results demonstrate significant improvements in data management efficiency, accuracy, and accessibility compared to traditional manual methods. This research contributes to the ongoing digital transformation in educational administration and offers insights into best practices for developing similar systems in academic environments
FPGA implementation of Antilogarithmic computation using Fixed point Architecture at SoC Integration
No full textIn recent research works in System on Chip (SoC) and Embedded systems applications demands optimization of power, latency, area and improvement of throughput. All these applications are complex in operations and to validate FPGA is best suitable device with minimal time. Most of operations in DSP applications uses fixed point and data path are widely used and realization of complex arithmetic operations using logarithmic number systems. In order to improve throughput and optimize power, area and delay, a novel antilogarithmic architecture has been realized on FPGA. The proposed antilogarithmic function uses piecewise linear approximation (PLA), Leading one detector (LoD), barrel shifter (BS) and Reconfigurable residue number system (RRNS), Parallel Prefix Adder (PPA) are incorporated in the design. The SoC level design has been synthesized in Vivado Design Suite 2018.1 and validated on Artix-7 FPGA. The device utilization demonstrates how little FPGA resource the architecture uses. Additionally, we have examined the approximation result through error analysis. According to the error study, there is a 2.4% mistake for negative numbers and a 0.24 % error for positive values. By using more bits for the fractional bit representation, the inaccuracy can be reduced even more.device. The device utilization demonstrates optimal latency and minimal logic resources, and the same design is validated on the FPGA. Additionally, we have examined the approximation result through error analysis. The LOD designs and an approximation adder for summing two logarithms that can be applied to enhance the Mitchell logarithmic (ML) multiplier's hardware efficiency.In comparison to the original Mitchell multiplier, this design lowers hardware costs by 21.8%, while in comparison to the other current iteration, it lowers costs by 17.5%.The'm' least significant bits of the approximation adder have a fixed bias has ones and zeros. In order to minimize hardware costs and maintain the complete accuracy of the traditional ML, the ideal values for "b" and "m" are selected. Based on an overall examination of errors, the error for positive numbers is 0.9%, while the error for negative numbers is 0.5%. By using more bits for the fractional bit representation, the inaccuracy can be reduced even more
A Novel SIPS Model with Variable Patching For Virus and Patch Propagation in a Computer Network
No full textA deterministic nonlinear SIPS model for virus and patch propagation with variable patching rate is formulated. The variable patching rate is considered an increasing function of infection in the network and its impact on the virus is discussed through the stability of its equilibrium points. The numerical simulation explores the dynamics. It shows that the viral load can be reduced with a variable patching rate when the virus is endemic. The basic reproduction numbers for infection, and for patching are computed. Further, a bifurcation diagram concerning basic reproduction numbers and is obtained with a constant patching rate. The plane is divided into four regions with different dynamic possibilities. In disease-free and infected states, the virus is eliminated, but patches survive; patches are eliminated, but the disease is not; both survive. This may be used to design the virus control strategy.
A deterministic nonlinear SIPS model for virus and patch propagation with variable patching rate is formulated. The variable patching rate is considered an increasing function of infection in the network and its impact on the virus is discussed through the stability of its equilibrium points. The numerical simulation explores the dynamics. It shows that the viral load can be reduced with a variable patching rate when the virus is endemic. The basic reproduction numbers for infection, and for patching are computed. Further, a bifurcation diagram concerning basic reproduction numbers and is obtained with a constant patching rate. The plane is divided into four regions with different dynamic possibilities. In disease-free and infected states, the virus is eliminated, but patches survive; patches are eliminated, but the disease is not; both survive. This may be used to design the virus control strategy
Solving Mysteries with Ai: The Future of NPC Interactions in Murder Mystery Games
No full textLies of the Forest, an advanced murder mystery game using artificial intelligence to produce dynamic, real-time communications between players and non-playable characters (NPCs) is the focus of this paper. With the help of the Unity 3D engine and the InWorld.ai API, we were able to create non-player characters (NPCs) with expressions and behaviours that are more realistic than those seen in real-world relations and that go beyond the typical hard-coded dialogue. The game's narrative evolves based on player actions thanks to this dynamic storytelling mechanism, providing a one-of-a-kind, user-driven experience each time the game is played. Pre-built assets are combined into our development process to improve the game environment and promise a rich and immersive gaming experience. This paper describes our progress to date, focusing on the technical implementation, difficulties encountered, and proposed solutions. The implications of our study for game development in the future point to the potential of AI-driven real-time communication in interactive storytelling
Advanced AI-Powered Voice and Display Assistant System Using Iot for Deaf and Blind.
No full textAI is the replication of human intellect processes by machines, specifically computer systems. It encompasses the creation of algorithms and software that empower computers to execute tasks that commonly necessitate human intellect, including problem-solving, experiential learning, comprehension of natural language, pattern recognition, and decision-making. Here, to enhance the voice assistance system to cater specifically to individuals with physical disabilities, such as the deaf and dumb. Consequently, we have transitioned from a software-based solution to a hardware device, which is portable and can be conveniently carried anywhere