Search
201 articles for “algorithm design and analysis”
-
Automatic Facial Recognition Using Adaptive Modelling of Illumination Field for Shape Recovery of Micro Facial Features
Abstract: In this study, we present an innovative framework to resolve the issue of confounding effects caused by variation of illumination in the scenario of face recognition. The proposed framework involves a mathematically modelled adaptive algorithm which augments the pixels sets of facial images with realistically simulated illumination field. This enhances the recognition rate and subsequently its performance in a way independent of classifier mode for each of its facial parameters. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 1, 2015 · pp. 19–24 Read article
-
Adaptive Facial Recognition Algorithm For Partially Occlude Images
Abstract: In the present study we present an innovative approach towards countering the problem of partial occlusion in face recognition scenario. The partial occlusion can be caused by various objects such as scarfs, sunglasses etc., and its effects are confounding in the performances of the recognition rates. The framework tends to mathematically model the curvature and other essential features of the face such as micro-expression and the curves of the facial …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 1, 2015 · pp. 25–32 Read article
-
Application of B-trees for Design of Optimal Page Replacement Technique in Modern Operating Systems
Abstract: Algorithms related to replacing the memory pages in operating systems are critical components of modern operating systems that manage virtual memory efficiently. Current algorithms such as LRU (Least Recently Used), Clock algorithms as well as FIFO (First-In-First-Out), often struggle with the increasing demands of contemporary applications and larger memory hierarchies. This research work proposes a novel approach utilizing B-tree data structures to design an optimal page replacement technique. The proposed …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 23–30 Read article
-
Innovative Approaches to Reactive Power Management and Optimization in Modern Power systems
Abstract: Reactive power management and optimization are necessary for the effective, stable, and reliable working of modern power systems. Without proper management, reactive power is responsible for additional losses in transmission, reduced capability of power transfer, and poor voltage stability conditions, thus forming a basis for developing advanced techniques of optimization. This paper discusses the innovative methods in Reactive Power Optimization (RPO) using met heuristic algorithms, namely the Self-Balanced Differential Evolution …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 44–50 Read article
-
Comparative Performance Analysis of Swarm and Intelligent Evolutionary Techniques for Optimal Design of Distribution Transformer
Abstract: This paper addresses the method of optimal design of a three phase distribution transformer using Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Teaching-Learning-Based-Optimization Algorithm (TLBO). The design and analysis programs have been developed for constrained optimal design with cost as the objective function. The active part cost of the transformer has been minimized keeping in view BEE (Bureau of Energy Efficiency) standards and constraints. A design example on a …
Published in Trends in Electrical Engineering · Vol. 5, Issue 3, 2015 · pp. 46–58 Read article
-
Sustainable Production of Drying Oil using ASPEN PLUS
Abstract: This original research work discusses the sustainable design of drying oil production process using ASPEN PLUS V8.8. Waste reduction analysis studies using WAR (Waste Reduction algorithm) at the early design stage is performed to minimize the waste or pollution by taking better design decisions in the process. Energy analysis is carried out for the entire process and it is observed that 48.92% of energy can be saved for the base …
Published in Emerging Trends in Chemical Engineering · Vol. 4, Issue 1, 2017 · pp. 15–20 Read article
-
A Study of DATA Mining Algorithms
Abstract: The time needed for generating frequent patterns plays a vital role. Some algorithms are designed, considering solely the time issue. Our study includes depth analysis of algorithms and discusses some problems of generating frequent pattern from the varied algorithms. We have explored the unifying feature among the inner operating of assorted mining algorithms. The work yields a close analysis of the algorithms to elucidate the performance with normal dataset like …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 1, 2015 · pp. 22–26 Read article
-
Optimized Design and Control of Oil Exploitation Strategies: An Assisted Approach
Abstract: Because there are so many factors and scenarios to consider, optimizing oil exploitation tactics requires complicated decision-making. Conventional approaches frequently concentrate on particular elements of the design infrastructure, which restricts their capacity to fully handle the process. In order to maximize a set of oil exploitation variables in a hierarchical fashion, this research proposes a novel assisted optimization technique that combines mathematical algorithms with engineering analysis. By grouping variables into …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 29–34 Read article
-
Algebraic Foundations of AES (Advanced Encryption Standard): Group Theory and Finite Field Applications in Symmetric Cryptography
Abstract: This paper presents a mathematical study of symmetric cryptographic algorithms, with a particular emphasis on the Advanced Encryption Standard (AES), which is one of the most widely used encryption schemes in modern security applications. The study highlights how abstract mathematical frameworks such as group theory, finite fields, and vector space concepts provide the foundation for the design, implementation, and analysis of AES. By approaching the algorithm from a mathematical perspective, …
Published in Recent Trends in Mathematics · Vol. 2, Issue 1, 2025 · pp. 12–16 Read article
-
Wideband Microstrip Slot Antenna Using Shape Blending Algorithm
Abstract: For the effective wireless communication over long distances, the antennas with wideband operation and narrow beam widths are the requirements for the evolving modern mobile devices. This paper presents the design and analysis of the wideband patch antenna with slot using shape blending algorithm. The major advantage of this algorithm is to optimize the shape of the radiating element by applying Heaviside function to improve the performance characteristics of the …
Published in Journal of Mechatronics and Automation · Vol. 9, Issue 1, 2022 · pp. 19–27 Read article
-
Compact Security Algorithm
Abstract: This paper presents an analysis of Bernstein polynomial and its application to design the security systems. The polynomial has the various characteristics. The degree of the polynomial, the convergence of the sequence, recursive conditions, derivative etc. are the some noteworthy domain of the study of any polynomial.Keywords: Bernstein Polynomial, Security Systems, Technology, Security, Algorithm.Cite this Article: Aakanksha Dubey, Sunil Kumar Kashyap. Compact Security Algorithm. Recent Trends in Programming Languages. 2020; …
Published in Recent Trends in Programming languages · Vol. 7, Issue 2, 2020 · pp. 10–12 Read article
-
Asymptotic Notations: A Review
Abstract: Asymptotic notations play a fundamental role in assessing the efficiency and performance of algorithms, particularly as input sizes grow larger. This paper delves into three key asymptotic notations: Big O, Theta, and Omega, which are essential for understanding the upper, average, and lower bounds of an algorithm’s runtime. Big O notation specifically helps in determining the worst-case scenario of an algorithm’s growth rate, providing an upper bound on time or …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 17–33 Read article
-
Design and Analysis of MAC Unit Using Single Precision Floating Point Vedic Multiplier
Abstract: Multiplication and accumulation are the basic operations which are important in several microprocessors and digital signal processing (DSP) applications to execute dedicated algorithms. Developing high speed MAC is essential for real time DSP application. The MAC unit determines the speed of the overall system and it lies in the critical path. As the demand for high speed design is continuously increasing, the studies related to the field of multipliers and …
Published in Journal of VLSI Design Tools and Technology · Vol. 8, Issue 3, 2018 · pp. 28–35 Read article
-
Fast Data Analysis Technique by Compact Clustering
Abstract: In this paper, a new clustering theory is established under the context to analyze the data. Data analysis is a challenging task. The proposed method transforms it into easier. The classical clustering method defines over the probability to design the proposed algorithm in this paper. The data structure sets as the dynamic structure for mapping the optimized and compact analysis.Keywords: Data, Probability, Cluster, Data, Algorithm.Cite this Article: Sunil Kumar Kashyap, …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 2, 2020 · pp. 19–23 Read article
-
Comparative Analysis of Perturb & Observe and Incremental & Conductance MPPT Algorithms
Abstract: AbstractMaximum power point tracking (MPPT) technique implemented on a Photo-Voltaic (PV) system is meant for increasing its efficiency. In literature may research work claims MPPT technique as one of the most efficient way in enhancing output power generated. The output electrical parameters (V-I curve) of PV (photovoltaic) system depends on the irradiance, temperature, configuration, environmental conditions and analogy of a PV system. MPPT regulates the system at the reference voltage …
Published in Journal of Electronic Design Technology · Vol. 9, Issue 2, 2018 · pp. 7–13 Read article
-
An Overview of the Design and Optimization of Antennas Employing Machine Learning Algorithms and Methodologies
Abstract: This paper offers a comprehensive exploration of the integration of machine learning (ML) techniques in antenna design and optimization, reflecting the burgeoning interest and potential impact of ML in emerging technologies. The first segment conducts a detailed literature survey, elucidating conventional computational electromagnetic and numerical methods preceding an in-depth discussion on the core facets of ML, encompassing diverse learning categories and frameworks. Additionally, it provides a mathematical exposition on regression …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 3, 2023 · pp. 1–12 Read article
-
Examining the Effects of MIST in RSA and CRT-RSA to Resist Power Analysis Attacks
Abstract: The need of security has turned into a vital area of research in domain of computer science. The evolution of side channel attacks has challenged the vulnerability of almost all the symmetric and asymmetric cryptographic techniques available worldwide. This has raised the urgency in designing mitigation techniques against such volatile attacks. Power analysis attacks, which is the most popular side channel attacks has proved to be a challenge for most …
Published in Journal Of Network security · Vol. 4, Issue 3, 2016 · pp. 11–22 Read article
-
A Review: Application of Ant Algorithm in Transport Network Design Problems
Abstract: A dependable and reliable information source for transportation route planning and ready response to traveler demand, have become a hot topic of research these days. Transportation route planning, analysis and processing of traveler demand are among most important factors affecting response to traveler demand. Because of highly dynamic networks and frequent discontinuity, it is desirable to establish routes for fast delivery of people and goods, having a low probability of …
Published in Trends in Transport Engineering and Applications · Vol. 3, Issue 3, 2016 · pp. 17–22 Read article
-
Performance Analysis of DNA Sequencing Using Smith-Waterman Algorithm on FPGA
Abstract: The Smith-Waterman algorithm is the most accurate and optimal alignment algorithm for DNA sequencing. It is utilized to locate the ideal local alignment between two sequences. While looking sequence databases that may contain billions of sequences, this algorithm turns out to be computationally costly and tedious. Smith-Waterman algorithm needs additional memory space and this constrains the extent of a sequence to be aligned. In this study we will implement the …
Published in Journal of VLSI Design Tools and Technology · Vol. 9, Issue 2, 2019 · pp. 8–12 Read article
-
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