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612 articles for “algorithm design”
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A Novel Register Minimization Technique for Efficient Implementation of BLMS Filter
Abstract: Purpose: This paper presents a novel register minimization technique for the BLMS filter. The purpose is to reduce the number of registers leading to reduction in hardware resource used for BLMS filter and thus reducing the complexity. Design/Methodology/Approach: In the BLMS filter due to substantial number of register and hardware resource, Strassen’s algorithms are used to minimize the registers. Strassen’s algorithm is used for the matrix multiplication in the BLMS …
Published in Journal of Microelectronics and Solid State Devices · Vol. 4, Issue 2, 2017 · pp. 18–31 Read article
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Implementation of Load Flow Analysis using NR method
Abstract: Load flow studies are one of the most important aspects of power system analysis and design. This paper presents an optimal analysis technique for load flow analysis using Newton Raphson Algorithm for solving set of nonlinear equations. The main objective of load flow analysis is to evaluate the magnitude and phase angle of voltage at each bus as well as real and reactive power flowing in each transmission line. For …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 3, 2015 · pp. 8–13 Read article
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Design of XYZ Plotter
Abstract: The main aim of this study is to design XYZ plotter using stepper motor and GRBL controller software, Arduino UNO. The XYZ plotter plots three-dimensional data on a Cartesian coordinate system. This work examines about the detailed study, design and creation of XYZ plotter from 3D printer and microcontroller framework (Arduino). Displaying and investigation of XYZ plotter are carried out through serial communication from computer to Arduino. It is executed …
Published in Journal of Control & Instrumentation · Vol. 10, Issue 2, 2019 · pp. 16–20 Read article
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Hardware Design using Flexible Hk-Means
Abstract: High performance hardware is required to meet the necessities of consumer electronics. Color quantization and image partition are an inevitable part for different applications, and HKMeans is the main algorithm that is used for color quantization and image partition owing to its low cost, less computational time and the hardware area required. The computational time and the hardware area increases as the quantization number increases. Hierarchical K-means or HK-Means is …
Published in Journal of Electronic Design Technology · Vol. 6, Issue 1, 2015 · pp. 30–35 Read article
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DR. REVIVE: An AI-Powered Medical Recommendation System for Optimised Resources and Improved Patient Care
Abstract: Dr. Revive is an AI-powered medical recommendation system designed to enhance virtual healthcare interactions by connecting patients, doctors, and healthcare stakeholders. Leveraging advanced machine learning algorithms, it analyses user-reported symptoms to provide initial medical recommendations, serving as a reliable first point of guidance. With access to a comprehensive medical database, the platform delivers accurate and timely advice, empowering patients while supporting healthcare professionals with data-driven decision-making. By offering a complete …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
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Artificial Intelligence-Based Optimization of Mechanical and Biocompatible Properties in Polymer Composite Implants
Abstract: Artificial Intelligence (AI) has already become a ground-breaking tool of streamlining polymer composite implants to enhance both mechanical strength and biocompatibility simultaneously. This paper recommend an AI-based multi-objective optimization model, which integrates the selection of materials, structural modelling, and biological evaluation. The in vitro biocompatibility indicators, including cytotoxicity and cell adhesion, can be used to model mechanical behavior, e.g. stress-strain behavior and fatigue behavior. To arrive at an optimal material …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Efficient Energy Management using Artificial Intelligence (AI) and Machine Learning (ML) in Chemical Industry
Abstract: The globe is moving toward higher usage of renewable energy sources, particularly solar and wind energy, as a result of depleting fossil fuel supplies and growing environmental concerns. There are several forecasting methods available for effective wind energy utilization. This review uses algorithms for predicting solar and wind energy as well as artificial intelligence (AI) techniques. A wind-coal coupling energy system planning scheme was designed to lower the high energy …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 2, 2025 · pp. 33–50 Read article
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Relay Node Selection Based Reduced Energy Consumption in Heterogeneous Wireless Sensor Network
Abstract: Energy conserving optimization is of chief concern while scheming a wireless sensor network (WSN) as most of the sensor nodes are furnished with limited power supply. In this paper, we focus on minimizing energy consumption and maximizing network lifetime in three-tiered network architecture. For this obvious goal, clustering techniques are a boon with a hierarchical arrangement to boost the performance of the network as well as reduce the consumption of …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 3, Issue 2, 2016 · pp. 7–14 Read article
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AI-Accelerated Development of Gradient Polymer Nanocomposite Thin Films
Abstract: Gradient polymer nanocomposite thin films are an active field of materials research due to the fact that it enables scientists to de-facto regulate the optical, electrical, and mechanical properties of a film by merely altering its composition on a layer-by-layer basis. This type of control opens the gate to the improved flexible electronics, long lasting protective coats, and the new smart gadgets. The problem is, though, that it is a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 456–469 Read article
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Dynamic Performance Enhancement of Polymer Composites through Metaheuristic machinining optimization
Abstract: This work aims to provide an optimization of meta-heuristic algorithms in order to improve the dynamic behavior of composite materials utilized in various practical engineering tasks. Based on the Comprehensive literature review it has been observed that composite sandwich panels with PVC foam cores accomplished mechanical characteristics superior than those ones that were produced on PU foam core mainly in flexural, compression, and impact tests Thus the study establishes the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 114–129 Read article
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Comparative Analysis of Metamorphic Testing for Service-oriented Software Applications
Abstract: The result execution correctness is executed by software testing, using test oracles. Test oracle is one of the most common problems in case of software testing but if software testing is applicable, it is too much expensive. In this study, triangle classification problem is solved by metamorphic testing. Indeed, the objective of runtime examination is not tied in with computing the specific number of steps needed for discovering an answer. …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 2, 2021 · pp. 15–25 Read article
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Redefining Efficiency: Big Data Science in Supply Chain Design and Management
Abstract: The combination of resources, tools, and applications in the field of supply chain management (SCM) is rapidly expanding, creating both opportunities and challenges. The term "big data" is commonly used to refer to the large and complex sets of data that are now available. These data are believed to have the potential to improve decision making and increase profitability. To effectively analyze and utilize these data, new methods of data …
Published in Journal of Production Research & Management · Vol. 13, Issue 1, 2023 · pp. 6–10 Read article
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Optimal Placement and Location of Phasor Measurement Unit Considering Bus Voltage Using Genetic Algorithm
Abstract: This paper presents a procedure by which new PMU locations can be symmetrically determined in order to render an observable system. Monitoring and supervision of power systems are provided by the control centre, whose role is the design, coordination and network management. In this paper, an attempt has been made to control technique based on the implantation of measurement units at the network buses. A proposed methodology makes the system …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 2, 2016 · pp. 74–84 Read article
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Study and Design of PID Controller and State Observer Technique for Inverted Pendulum
Abstract: The inverted pendulum is a classic problem in dynamics and control theory and is widely used as a benchmark for testing control algorithms, it is unstable without control. The process is nonlinear and unstable with one input signal and several output signals. It is hence obvious that feedback of the state of the pendulum is needed to stabilize the pendulum. The aim of the study is to stabilize the pendulum …
Published in Journal of Control & Instrumentation · Vol. 6, Issue 2, 2015 · pp. 13–18 Read article
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Optimizing Sampling Techniques Using Fuzzy Set Theory: A Comprehensive Approach
Abstract: Sampling is a critical process in statistics, used to estimate population parameters without needing to examine the entire population. Traditional sampling methods, such as simple random sampling, stratified sampling, and cluster sampling, face limitations when applied to complex or heterogeneous populations with imprecise boundaries. These methods often fail to accurately represent populations with overlapping characteristics or missing data, resulting in sampling bias and reduced accuracy. To address these challenges, this …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 29–43 Read article
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DESIGN PERSONALIZATION CLASSIFICATION MODEL USING SEMI-SUPERVISED SUPPORT VECTOR MACHINES
Abstract: Abstract Internet user is growing everyday as an outcome of this huge volume of data is being produced constantly. Thus Mining and evaluating such data can support an organization in services extending from website personalization and usage classification. The pre-existing machine learning algorithms are unable to solve this in a better way. The current application for data classification is really expensive in nature. Improve the recommendation technique using map reduce …
Published in Journal of Web Engineering & Technology · Vol. 5, Issue 1, 2018 · pp. 17–24 Read article
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Review on to Design High Speed and Area Three Oprend Binary Adder Using MDCLCG Architecture
Abstract: The three operands binary adder is a basic function used in the creation of modular arithmetic in various algorithms, such as the pseudorandom bit generator and cryptography. The CS3A carry save adder is commonly used to perform this operation. Nevertheless, the operation's outcome delayed the transmission of O(n) because of the ripple carry step. A dual-optoic adder for parallel prefix computation, such as the Han-Carlson method, can be used to …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 1, 2024 · pp. 14–22 Read article
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Adaptive Tree Climbing Robot
Abstract: This paper is proposed to design a tree climbing robot which makes the robot to realize the environment and climb on tree autonomously. The proposed robot is inspired by locomotion of inchworms. By the use of limit switches, the algorithm reconstructs the shape of the tree which reveals how the environment can be realized with limited information. Since the shape of trees is irregular and complex, it is a challenging …
Published in Journal of Advancements in Robotics · Vol. 1, Issue 3, 2014 · pp. 11–16 Read article
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Intrusion Detection Using ANN Machine Learning for MIM, DOS, BO
Abstract: Intrusion detection system is a software program developed to use on computer systems so that it can identify intrusion attack with help of different techniques like the machine learning algorithms. The variety of assaults over the internet has multiplied through the years because of the development and smooth availability of computing technologies. Attackers develop new attack types, so in order to save you from those assaults, intrusion detection systems must …
Published in Journal Of Network security · Vol. 11, Issue 4, 2023 Read article
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Intrusion Detection Using ANN Machine Learning for MIM, DOS, BO
Abstract: Intrusion detection system is a software program developed to use on computer systems so that it can identify intrusion attack with help of different techniques like the machine learning algorithms. The variety of assaults over the internet has multiplied through the years because of the development and smooth availability of computing technologies. Attackers develop new attack types, so in order to save you from those assaults, intrusion detection systems must …
Published in Journal Of Network security · Vol. 10, Issue 1, 2022 · pp. 46–53 Read article