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International Journal Of Real-Time Applications And Computing Systems (IJORTACS)

A SMART ADVERSARIAL THREATS DETECTION SYSTEM USING HYBRID OF BIGAN-BIGRU TECHNIQUE

*Ojiako F.N., Mgbeafulike I.J., Okeke O.C

The study presents modelling a smart adversarial threats detection system using hybrid of Bi-Directional Generative Adversarial Network (Bi-GAN) and Bi-Directional Gated Recurrent Unit (Bi-GRU). Th...

DEVELOPMENT OF AN INTELLIGENT AND SECURED MODEL FOR A CLOUD-BASED DETECTION OF ADVERSARIAL ATTACKS USING ARTIFICIAL NEURAL NETWORK

*Okonkwo Chinonso J., Ogochukwu C. Okeke

To identify and mitigate adversarial attacks, this paper explores the development of an intelligent and secure model for a 5G cloud-based facility utilising Artificial Neural Networks (ANN) and sop...

DEVELOPMENT OF A DEEP LEARNING TECHNOLOGY TO IMPROVE HUMAN-COMPUTER INTERACTION FOR VISUALLY IMPAIRED

*Iluno Amalachukwu C., Ogochukwu C. Okeke, Ike Mgbeafuluike

Accessing equitable learning settings can be extremely difficult for people with disabilities, such as vision loss, despite the fact that receiving a high-quality education is a fundamental right. ...

INTELLIGENT MEDICAL IMAGE DATA LABELLING HEALTHCARE AUTOMATION USING DEEP LEARNING TECHNIQUE

*ILOFULUNWA C.G, AKUNNE O.E

The goal of this paper was to create a software application system medical image classification through automated data labelling for healthcare utilising an integrated deep learning technique. The ...

IMPROVING THE QUALITY OF SERVICE OF A COGNITIVE RADIO NETWORK THROUGH SPECTRUM SENSOR OPTIMIZATION

*Agbo Kenechukwu M., Mba Chioma., Oliokwe Bibian N.,

The underutilization of the constrained spectrum by the fixed channel allocation strategy and the increasing demand for seamless wireless services provide several challenges for wireless communicat...

INTELLIGENT TECHNIQUE FOR STABILIZING THE RESPONSE TIME OF TRANSMISSION LINE PROTECTION RELAY

*Eze Robert John, Ani Maduka

It is impossible to develop a fault free system, regardless of how perfect the design might be, as time improves the system reliability and mean time to failure comes into place. This is not an exc...

THE USE OF MACHINE LEARNING MODEL FOR AUTOMATIC DETECTION OF ROAD TRAFFIC SIGNS

*Oji Nkechi Blessing

This study introduces an improved method for traffic sign detection and recognition, specifically designed for complex urban environments and varying lighting conditions. The proposed system is str...

DEVELOPMENT OF A HYBRID INTELLIGENT MODEL FOR CONTRACT LITIGATION

*Nnaemeka C. Onyemelukwe, Ogochukwu C Okeke

The background of the study centres on the challenges faced in contract litigation due to the complexity and volume of legal documents involved. Traditional methods of legal text analysis are often...

DESIGN AND PERFORMANCE OPTIMIZATION OF CAMPUS WI-FI NETWORK (CASE STUDY OF UNIZIK)

*Ekwueme John C., Idigo V.E

A Wi-Fi network is a wireless local area network designed to provide internet connectivity to people within a particular area. In the context of this study, the University of Nnamdi Azikiwe (UNIZIK...

MODELLING OF AN INTELLIGENT VIRTUAL POWER PLANT FOR OPTIMAL ENERGY NETWORK MANAGEMENT AND CONTROL USING MACHINE LEARNING TECHNIQUE

Ozoani Uchechukwu I., Eneh Innocent. I., Ani Okwuchukwu Innocent

This paper presents the modeling of an intelligent virtual power plant for optimal energy network management and control using machine learning techniques. The aim is to present a system that can c...

RESEARCH ON ENHANCING THE PERFORMANCE OF 4G DATA SWITCHED NETWORKS USING THE KNOCKOUT PRINCIPLES AND PARALLEL FABRICS

*Akpan Idongesit T., Prof. Eneh I.I., Princewill Eneh, Ohagwu Walter Akachukwu

This research is focused on enhancing the performance of data switched networks using the knockout principle and parallel fabrics. The high demand of data during peak hours through the internet and...

AN ENHANCED DYNAMIC TIME QUANTUM MEAN ROUND ROBIN ALGORITHM FOR EFFICIENT RESOURCE ALLOCATION IN CLOUD COMPUTING

Bamaiyi Sule*, Dr. Etemi Joshua Garba, Dr. Yusuf Musa Malgwi

This study presents an impartial scheduling algorithm that allocates the same time quantum to all processes. The selection of time quantum and preemptive strategies significantly impacts the algori...

IMPLEMENTATION OF MACHINE LEARNING-BASED APPROACH FOR THE EARLY DETECTION OF STRESS AND HYPERTENSION IN PREGNANT WOMEN: A REVIEW

Ugwu Edith Angela

The paper presents a review of machine learning approaches for the early detection of Stress and Hypertension (SH) in pregnant women. It discusses the management of SH in pregnant women and its cau...

RANKING OPTIMAL SENSOR NODES IN WSN USING SIMPLE ADDITIVE WEIGHTING (SAW) APPROACH

*Ezeh N.C., Eke James, Ogili S.N.

Wireless Sensor Networks (WSNs) are crucial for various applications, and ranking sensor nodes within these networks is a fundamental challenge. The Simple Additive Weighting (SAW) approach, a Mult...

REAL TIME GUARANTEE: CRITICAL ISSUES IN WIRELESS INDUSTRIAL PROCESS CONTROL - EXPLORING ENHANCEMENT OPTIONS

*Dr. Ulagwu-Echeu A.C.

Ensuring real-time data transfer in Wireless Industrial Control System (WICS) networks has been a persistent challenge, marked by issues such as security vulnerabilities, high power consumption, in...

THE CHALLENGES OF IMPLEMENTING IOT-BASED MONITORING AND CONTROL SYSTEMS FOR OIL PIPELINES

*Ola E.O., Prof. Eke James, Ezeh N.C.

The adoption of Internet of Things (IoT)-based monitoring and control systems in the oil and gas industry offers the promise of revolutionizing pipeline management. These systems have the potential...

IMPROVING JUDICIAL ADMINISTRATION: AN ELECTRONIC COURT CASE MANAGEMENT SYSTEM APPROACH

*Onyia U. C., Olofin B.B., Asogwa T.C.

Recently, the need for efficient case management and the prompt delivery of justice has become increasingly evident as a catalyst to improve the integrity, reliability, and confidence in the Nigeri...

MODELLING OF AN INTELIGENT AUTOMATED IDENTIFICATION SYSTEM FOR TRACKING IN MARITIME SURVEILLANCE SECURITY

Afagha Celestine, *Eke James

Over the years the maritime industries have faced many challenges of insecurity, theft, piracy and maritime terrorism among other problems which have often threatened the lives and peace of onboard...

Kalman Filter Based Sliding Window Approach For Optimized Link Control In 4G Wireless Network

Okoro Patience Njideka*, Eke James and Onuigbo C. M.

This paper presents smart link control scheme for wireless networks based on Kalman filter-sliding window controller. The scheme aims at improving the controller adjustment and the network link qua...

Improving Link Control For Enhancing Quality Of Service In Data Networks Using Kalman Filter Based Window Flow Technique

Okoro Patience Njideka*, Eke James and Dorathy Obianuju Abonyi

The rapid proliferation of the internet and the heterogeneity of user equipment have led to complex challenges in managing network traffic and ensuring consistent quality of service. Researchers ha...

REDUCING PIPELINE CORROSION IN OIL AND GAS INDUSTRIES USING ANT COLONY OPTIMIZATION TECHNIQUES

*Ikpaikpai Odonkumo Easter, James Eke

This paper aims to develop a model for reducing oil pipeline corrosion in the oil and gas industries using ant colony optimization techniques. The primary objective is to investigate the efficacy o...

Energy efficiency in MANET

*Onyiaji, N.C. and **Mbachu, C.B.

This paper presents the improvement ofenergy efficiency on a mobile ad-hoc network(MANET) using an energy optimization algorithm (EOA). The study addresses the issues of high energy consumption in ...

REDUCTION AND CONTROL CONGESTION IN MULTI-TIER 4G-LTE-A NETWORK USING HYBRID ARTIFICIAL INTELLIGENCE TECHNIQUE

*Emehelu Christian A., Kingsely Udofia, Emmanuel Ogungbemi

This paper presents the reduction and control of congestion in multi-tier 4G-LTE-A network using hybrid artificial intelligence technique. The study addressed the crucial requirement of maintaini...

IMPROVING TRAFFIC MANAGEMENT IN A DATA SWITCHED NETWORK USING AN ADAPTIVE DISCRETE TIME MARKOV MODULATED POISSON PROCESS

*Ndihibe P. I., Abonyi D.O., Ogili S.N.

In the ever-evolving landscape of modern telecommunications, the increased demands on data networks driven by the proliferation of connected devices and the escalating requirements of bandwidth-int...

INTELLIGENT FACIAL RECOGNITION SYSTEM USING MACHINE LEARNING ALGORITHM

*Nwogwu J.O., Ugwu Edith A., Mba David L., Oliokwe Bibian N.

Over recent years, Researchers have displayed a keen interest in dynamic research domains, including the realm of Face Recognition Systems. This study aimed to develop a facial recognition system u...

UNRAVELLING THE INTRICACIES OF LITHIUM-ION BATTERY AND ITS DEGRADATION DYNAMICS

Ani Malachy Ikenna, Eneh Innocent Ifeanyichukwu, Obasi Emmanuel Chukwubueze*

In order to solve degradation-related difficulties, a thorough knowledge of lithium-ion battery (LIB) behaviour is important given the rapid expansion of EVs and mobile devices. With LIBs driving E...

ENHANCING CYBER-SECURITY FOR 5G NETWORK: A FOCUS ON MACHINE LEARNING BASED THREAT DETECTION

*Nweke Okwuchukwu A., Ugwu Edith A., Asogwa Tochukwu C., Kwubeghari A

This study explores the evolution of wireless technology from 1G to 5G, highlighting the progress and benefits of 5G networks, including faster data speeds, low latency, and support for a massive n...

A MODEL TO DETECT OIL THEFT IN NIGERIAN PIPELINES USING ARTIFICIAL INTELLIGENCE

*Chiedu Raphael S., Ugwu Edith A., Asogwa Tochukwu C., Oliokwe Bibian N.

This study delves into the critical issue of pipeline oil theft in Nigeria, a nation heavily reliant on its oil industry. By harnessing the power of artificial intelligence (AI), mainly through the...

CONVOLUTIONAL NEURAL NETWORK MODEL FOR HEART DISEASE CLASSIFICATION

*Nwobodo Nnenna H., **Ezigbo Lucy I.

Heart disease has dominated the cause of mortality rate in the world. In western African, high kolanut intake has been reported to be one of the main factors which have provoked the rising cases of...

NEURAL NETWORK-BASED APPROACH FOR CLASSIFYING BRAIN TUMORS USING MAGNETIC RESONANCE IMAGING

*Nwobodo Harmony N., **Kwubeghari A.

This research presents a neural network-based approach for classifying brain tumors using magnetic resonance imaging (MRI). The primary objective is to develop a model capable of accurately detecti...