Search
322 articles for “Research output”
-
A Multi-Hop Power Adaptive MAC Protocol using Fuzzy Logic for Wireless Networks
Abstract: AbstractPower-based connectivity is a recent research topic in ad hoc networks. Implementing power control mechanisms is essential to enhance the lifetime of the network, and also to improve the throughput, find cost-effective routes and spatial reuse. In this paper, MAC protocol is used for implementing coordination functions and power-control mechanisms using fuzzy rules. Fuzzy rules are generated by upper layers of the network layer using two input variables such as …
Published in Journal of Communication Engineering & Systems · Vol. 3, Issue 3, 2013 · pp. 1–9 Read article
-
Designing of Web Based User Interface: A Review
Abstract: “User Interface” is also known by its infamous form (short) as “UI”. The user interface represents the layout of an application in graphics layer. The user interface includes the items with which the user can interact with, for example, clickable buttons, readable text, text entry fields, images, etc. These interactions include screen layouts, grids, transitions, animations, thus ranging from macro to micro interactions. They include both input and output devices …
Published in Journal of Web Engineering & Technology · Vol. 9, Issue 1, 2022 · pp. 19–27 Read article
-
Analysis and Testing Methods for Solar Thermal Evacuated Tube Collector: A Review
Abstract: Evacuated tube receiver used with parabolic trough collector can be characterized in terms of their heat loss and their optical efficiency. The optical efficiency of the collector involves reflectivity, transmissivity, tracking accuracy, shading by receiver tube surface, shape and absorptance of the material used. On the other hand, receiver tube heat loss includes conductive, convective and radiative losses. Here, in case of evacuated tube, major losses are through radiation, the …
Published in Journal of Thermal Engineering and Applications · Vol. 4, Issue 1, 2017 · pp. 1–4 Read article
-
Machine Translation (MT) Technique: A Review
Abstract: Machine translation (MT) is the process of automatically translating the content from one language (the Source or the input) into another (The Target or the Output) by the use of Artificial Intelligence. The advantage of machine translation is that it can translate large amounts of text in a very short period of time. Translation was one of the first implementations of computing power, beginning in the 1950s. This Project focuses …
Published in Recent Trends in Programming languages · Vol. 8, Issue 3, 2021 · pp. 7–10 Read article
-
Person Identification Using Iris, Facial Image and Fingerprint with the Combined Algorithm of Principle Component Analysis and Singular Value Decomposition
Abstract: In this research, we consider three most important biometric features such as fingerprint, iris, and facial image to identify a person more precisely. Unimodal biometric system has several problems, such as noisy background data, non-universality and spoof attacks. Multimodal biometric systems can solve these limitations effectively by using two or more individual modalities. This system propose the Multimodal biometric systems on fingerprint, iris and facial image using combined algorithm of …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 1, 2017 · pp. 29–34 Read article
-
A Conceptual Framework for AI-Integrated Metabolomics in Predictive Health Systems for Resource-Constrained Environments
Abstract: The increasing prevalence of non-communicable diseases (NCDs) continues to place a significant strain on healthcare systems, particularly in low- and middle-income regions where access to early diagnostic infrastructure is limited. Conventional healthcare approaches remain largely reactive, often detecting diseases at advanced stages when treatment effectiveness is reduced. This challenge underscores the need for predictive, cost-effective, and data-driven healthcare solutions. This study presents a conceptual framework that integrates metabolomics with artificial …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 2, 2026 Read article
-
Automated Thyroid Nodule Detection in Ultrasound Image using Optimal Neural Network Classifier
Abstract: Malignant thyroid nodule detection is an important issue in thyroid ultrasonography image processing. Literature reports many algorithms in this domain. This research aims to design optimal decision support system (DSS) for ultrasound thyroid nodule image characterization into benign and malignant classes. Thyroid nodule region is segmented to extract texture features from thyroid nodule ultrasound images acquired from 38 patients using gray level co-occurrence matrix (GLCM) and statistical properties. These features …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 2, 2015 · pp. 15–25 Read article
-
An Application of Artificial Neural Networks for Air Quality Prediction of SO2 Concentrations in Calabar Metropolis
Abstract: The past few years have seen intense enhancements in our aptitude to simulate complicated physical systems using computers, which has led to the use of artificial neural networks (ANNs) in various capacities of scientific research. The artificial neural network has been applied to various ecological pollution complications and which has revealed some degree of precision. The study aims to advance a neural network air quality forecast model for the complex …
Published in Research & Reviews : Journal of Physics · Vol. 9, Issue 3, 2020 · pp. 8–11 Read article
-
Design and Simulation of a Transformer Coupled Push-Pull Inverter and Matrix Converter Types Smart Solar Grid System
Abstract: This research paper deals with the design and simulation of facile and robust AC voltage originator using a solar power. PV technology is used for generating DC voltage as solar power is very reliable source. Push-pull inverter is used to convert the DC to AC as well as enhanced the magnitude of single phase signal. Matrix converter is also used to convert the single phase AC to three-phase AC signal. …
Published in Trends in Electrical Engineering · Vol. 9, Issue 1, 2019 · pp. 1–16 Read article
-
Classification and Pesticide Detection in Fruits
Abstract: Pesticides being present in fruits is an increasing concern for people all over the world. By working with the customer, this work aims to resolve the issue. The consumer should learn if the chosen fruits are suitable for consumption. The primary goal of this research is to use a sensor to calculate the normalized differential vegetation index in order to detect the levels of pesticides in fruit. The work is …
Published in Current Trends in Signal Processing · Vol. 13, Issue 1, 2023 · pp. 1–5 Read article
-
A Suboptimal Nonlinear Duty-cycle Modulation Scheme
Abstract: The DCM (duty-cycle modulation) technique is increasingly used in industrial electronics applications, including instrumentation systems, interfacing drivers and signal transmission chains. However, in existing research works related to new applications of DCM technique, the linear approximation policy is used for the sake of structural simplicity and low implementation cost, at the expends of rigorous analysis and low approximation errors. In this paper, a suboptimal nonlinear DCM scheme is developed. It …
Published in Journal of Electronic Design Technology · Vol. 7, Issue 1, 2016 · pp. 22–31 Read article
-
Use of Data Envelopment Analysis to Measure the Technical Efficiencies of Oil Refineries in India
Abstract: This paper is an attempt to implement the Data Envelopment Analysis (DEA) approach to measure the relative efficiency of a sample of oil refineries in India over a period of two years, 2012, 2013. We demonstrate that DEA is an effective tool for the Ministry of Petroleum (MOP) for monitoring and controlling the performance of oil refineries, which are growing as an important sector in India. We followed a case …
Published in Journal of Offshore Structure and Technology · Vol. 1, Issue 3, 2014 · pp. 13–31 Read article
-
Advanced Functional Polymers and Their Synergistic Role in Smart Composite Materials for Sustainable Industrial Applications
Abstract: Advanced functional polymers have revolutionized composite materials, offering enhanced properties such as self-healing, electrical conductivity, environmental adaptability, and high mechanical strength. These innovations are reshaping industries by enabling smarter, more efficient, and sustainable solutions. Functional polymers play a pivotal role in producing high-performance composite materials to meet the growing demands of sustainable industrial applications. Significant improvements in material properties mechanical strength, durability, thermal stability, and recyclability are achieved through the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 12–27 Read article
-
Hierarchical Computational Modeling of Physical Structure Across Quark, Nuclear, and Atomic Scales
Abstract: We present a modular, multi-scale computational framework that integrates physical modeling and visualization across quark, nuclear, and atomic scales within a unified pipeline. Developed to address the traditional fragmentation between sub-nucleonic, nuclear, and electronic representations, the system provides a continuous data flow and visualization bridge spanning from femtometers to ångströms. The framework consists of three primary modules: a particle-level module illustrating nucleons as confined quark-triplets with effective flux-tube geometries; a …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 1, 2026 · pp. 38–53 Read article
-
Implementation of Edge Detection Algorithm on FPGA using Hardware Software Co-simulation
Abstract: Image processing is one of the most booming research areas in modern days. Every modern device incorporates image processing in one or the other way. Most of the image processing algorithms start with basic edge detection. The performance of the edge detection can be improved using state of art FPGA devices. Implementation using field programmable gate arrays (FPGA) speeds up the processing of edge detection algorithms. The paper discusses the …
Published in Journal of VLSI Design Tools and Technology · Vol. 6, Issue 1, 2016 · pp. 55–61 Read article
-
Enhancing Radiographic Dental Image Visualisation with Colourisation and Graphical User
Abstract: Radiography has been used in dentistry to find cavities, bone loss, hidden dental structures, tumour, and cysts. Due to the monochromatic characteristic of X-ray images, it is difficult to discern disorders and explain the diagnosis procedure. Enhance the visualization of X-rays is one of the ways to ease the work of the dentist. There were several studies to enhance visualization by giving pseudo colour shades to monochromatic images. The conclusion …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 2, 2020 · pp. 7–19 Read article
-
Procedure for Conventional Facial Emotion Detection Algorithms Based on Machine Learning
Abstract: Researchers in psychology, computer science, linguistics, neurology, and allied fields have become more interested in a human-computer interface system for autonomous face recognition or facial expression recognition. This study has recommended an Automatic Facial Expression Recognition System (AFERS). The proposed methodology consists of face detection, feature extraction, and facial expression identification processes. The initial phases of the face detection procedure include skin color identification using the YCbCr color model, illumination …
Published in International Journal of Electronics Automation · Vol. 1, Issue 1, 2023 · pp. 07–13 Read article
-
Intelligent Traffic Monitoring: YOLO v8 and CSV Data Integration
Abstract: The “Intelligent Traffic Monitoring: YOLO v8 and CSV Data Integration” project is a cutting-edge solution for intelligent traffic monitoring, with YOLO v8 (You Only Look Once) serving as the fundamental technology for real-time vehicle detection and traffic counting on roads. In addition to these features, the system interfaces effortlessly with data pipelines and machine learning projects by storing gathered traffic data in CSV (Comma-Separated Values) format. The major goal of …
Published in International Journal of Electronics Automation · Vol. 1, Issue 2, 2023 · pp. 20–24 Read article
-
Piezoelectricity: For Power Generation
Abstract: Undeniably, piezoelectric materials are an exciting possibility for serving as a workable energy source; the question is whether technologies at this point in their development are ready for wide-scale application. This requires considering their value in the real context of modern urban environments and ecological conditions. A critical literature review has been carried out in this paper for the identification of the most successful piezoelectric generation techniques that have been …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
-
Modeling and Simulation of a Grid-Connected Solar-Wind Hybrid Renewable Energy System with Controlled Inverter
Abstract: Solar and wind energy offer eco-friendly and renewable options to conventional energy sources, holding great promise for the future. This research delves into the modeling and simulation of a grid-connected solar-wind hybrid renewable energy system employing a controlled inverter. The study examines the individual photovoltaic (PV) and wind energy conversion systems and investigates their seamless integration to create a powerful hybrid generation system. To maximize energy use, the application of …
Published in Journal of Thermal Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 22–32 Read article