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559 articles for “computational requirement”
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Defining Regression Polynomials with Process Similarity Criteria
Abstract: Highly accurate monitoring and prediction is essential in detecting abnormality events and forecasting demands in supply chains. This investigation provides a computational procedure for defining polynomials that satisfy similarity criteria in the monitoring process for a polynomial of any degree. It provides an example of using algorithms to predict transient thermal processes in electronic devices. The second-degree polynomial defined with this algorithm is compared with a polynomial defined using a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 10, Issue 2, 2023 · pp. 13–20 Read article
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Impact of Time Complexity Using Array and Linked List in Data Structure
Abstract: Data structures are techniques for maintaining, manipulating, and storing data on a computer, enabling efficient access and modification. They support various operations, such as insertion, deletion, updating, and sorting. Examples of data structure include arrays, linked lists, graphs, heaps, stacks, and queues. Each data structure is designed to meet specific needs and solve particular problems. Typically, we identify the problem, devise a solution as an algorithm, and then write an …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 41–48 Read article
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A Novel Symmetric Anchor Scoring (SAS) Method for Industrial Location Selection: Application to Electric Vehicle Manufacturing in Tamil Nadu, India
Abstract: This work highlights the city-level detail of decision-making enabled by a new MCDM method Symmetry Anchor Scoring (SAS). Generally conventional methods are good at selecting one best and one worst alternative, but not differentiating among the many strong contenders more likely in practice. Linking MCDM methods to the tradition of decision making, the paper discusses the mathematics and analogical basis of SAS design, provides a visual proof of its ideal …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 8–19 Read article
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Machine Learning Assisted Timing Violation Prediction in Sub-7nm VLSI Physical Design
Abstract: The continuous scaling of semiconductor technology into the sub-7nm regime has introduced significant challenges in timing closure due to process variability, interconnect delay, power density, and manufacturing uncertainties. Conventional static timing analysis techniques often require extensive computational resources and iterative optimization cycles, resulting in increased design complexity and longer turnaround time. This research proposes a Machine Learning Assisted Timing Violation Prediction framework for sub-7nm VLSI physical design to improve early-stage …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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An Efficient Recursive Least Square (ERLS) Algorithm for Spectral Estimation with the Aid of Wavelet and Artificial Intelligence
Abstract: The spectral estimation technique is used for time frequency signal analysis, speech processing, and other signal processing applications. Some drawbacks of RLS algorithm are that it requires high computational power and the output obtained is numerically instability. So, the spectral efficiency of the signal is affected and a power error occurs in the estimator. In this paper, an efficient recursive least square (ERLS) algorithm is proposed for improving the power …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 1–10 Read article
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Network Analysis and Synthesis Through Graph Theory as a Tool
Abstract: AbstractAs time went on, the systems to be dealt with increased enormously in size and complexity. Simultaneously, there has been an evolution in combinatory and graph theory, which led to producing a number of highly efficient graph theoretic algorithms devised with an eye on economy in time and computer storage requirements. Because of space limitations the current review cannot deal with the whole spectrum of relevant topics and will try …
Published in Journal of Microwave Engineering and Technologies · Vol. 6, Issue 3, 2019 · pp. 11–17 Read article
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Modelling and Electrical Characterization of Single Electron Transistor
Abstract: A nano-electronic device with low power consumption, high performance, and quantum effects is the single electron transistor (SET). It's used in charge sensor applications, infrared radiation detectors, and spectroscopy. However, it faces limitations in lithography, co-tunneling effect, low gain, high output impedance, and background charges. Therefore, prior simulation is needed to optimize SET's work function and understanding physics concepts. A master equation approach is used to propose a new model …
Published in Journal of Semiconductor Devices and Circuits · Vol. 10, Issue 3, 2024 · pp. 19–25 Read article
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Modeling and Simulation of Autonomous Vehicle Management System Using Fuzzy Theory
Abstract: ABSTRACT Fuzzy techniques have demonstrated a surge in the practical applications of fuzzy set theory. This paper presents the speed control mechanism that solves the problem intelligently by learning, adaptation and incorporating human knowledge. The proposed speed controller is used to manage the speed of the trains while at the same time managing the uncertainty in the condition of railway tracks. To deal with the aforesaid issues of uncertainty a …
Published in Current Trends in Information Technology · Vol. 2, Issue 1, 2012 · pp. 39–47 Read article
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Concurrent PTSD Psychotherapy Through Multi-Personnel Virtual Reality Framework
Abstract: Networked Virtual Environments (NEV) are sets of disjointed virtual worlds which are topographically set apart from the users yet connected through the communication network to give them the illusion of being in the same virtual location. NVEs are increasingly receiving consideration from business and research point of view. Contrasted with various sorts of possible applications, NVEs require a high responsiveness to ensure continuous streaming of live data for full immersion. …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 7, Issue 1, 2017 · pp. 22–26 Read article
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Integrating QR Code and Blockchain Technologies for Enhanced Authenticity and Traceability of Products
Abstract: The counterfeiting of products is a significant challenge faced by the retail market today. Various methods such as RFID tags, machine learning, artificial intelligence, and QR code-based systems have been employed to combat counterfeiting, but they all have some drawbacks. For instance, QR codes can be copied from genuine products to fake ones, and AI and machine learning require high computational power. To address this issue, we propose using blockchain …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 1, 2023 · pp. 6–11 Read article
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Aqua Search – A New Metaheuristic Modified Firefly Algorithm for Topology Optimisation of Continuum Structures
Abstract: Abstract The focus of the paper is to propose a new search algorithm which requires less computational effort to perform topology optimisation of continuum structures. The basic idea is based on performing underwater search operations by a group of divers in a school. This algorithm is named as Aqua Search (AS). The design domain here is compared to the water body. The AS algorithm is an improvement over the conventional …
Published in Journal of Offshore Structure and Technology · Vol. 3, Issue 3, 2016 · pp. 32–37 Read article
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Artificial Intelligence Based Education
Abstract: AbstractArtificial intelligence (AI) is a part of software engineering which includes building brilliant machines equipped for performing assignments that ordinarily require human knowledge. Computer-based intelligence is an interdisciplinary science with numerous methodologies, yet headways in AI and profound learning are making a change in perspective in for all intents and purposes each area of the tech business. Computer based intelligence has different applications, for example, mechanical technology, progressed counts which …
Published in Recent Trends in Parallel Computing · Vol. 7, Issue 3, 2020 · pp. 10–13 Read article
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A Comparative Review of Parallel Computing Techniques for High-Performance Computing
Abstract: High-Performance Computing (HPC) has become an essential technology for solving computationally intensive problems in scientific computing, engineering, artificial intelligence, weather forecasting, computational biology, financial modelling, and large-scale data analytics. The increasing complexity and heterogeneity of modern HPC systems have created a strong requirement for efficient parallel computing techniques and portable programming models. Several programming approaches, including Message Passing Interface (MPI), Open Multi-Processing (OpenMP), Compute Unified Device Architecture (CUDA), OpenACC, SYCL, …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 2, 2026 · pp. 16–26 Read article
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Computer Aided Drug Designing for Targeted Drug Delivery Systems
Abstract: The discovery and development of a contemporary sedate is widely acknowledged as an extremely difficult task that requires significant resources and effort. Therefore, computer-aided medication design techniques are widely utilized today to increase the productivity of the drug discovery and development process. Among structure-based and ligand-based drug design approaches, both recognized for their efficiency in drug discovery and development, various CADD (Computer-Aided Drug Design) techniques are evaluated based on specific …
Published in Trends in Drug Delivery · Vol. 11, Issue 2, 2024 · pp. 34–41 Read article
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Automation in Computation Over Linux Integrated Environment
Abstract: The challenges of building an automated computational system for an effective controllerof job scheduling and execution of computational tasks in heavy computing researchprojects, either requires external controllers or must function within the restriction boundof the utility service offered by APIs. We address the problem of the automation incomputation over a Unix environment using effective shell programming techniques. Theapproach is mainly based on dividing computational jobs by explicitly reducing theproblem to …
Published in Journal of Advances in Shell Programming · Vol. 1, Issue 2, 2014 · pp. 5–7 Read article
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Deep Learning-Based Thermal Prediction Models for Solid-State Electronic Devices
Abstract: The rapid advancement of solid-state electronic devices in high-performance computing, communication systems, automotive electronics, and renewable energy applications has significantly increased concerns related to thermal management and device reliability. Excessive heat generation in semiconductor devices adversely affects operational efficiency, switching performance, lifespan, and overall system stability. Traditional thermal prediction methods often require complex numerical computations and extensive simulation time, making them less suitable for real-time monitoring and adaptive control applications. …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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Cloud Computing and Storage Issues
Abstract: This paper talks over security issues for cloud computing & presents a layered framework for secure clouds and then focus on layers, i.e., the storage layer & the data layer. Cloud computing is a set of IT facilities that are as long as to a customer over a network on adhoc basis and with the ability to scale up or down their service requirements. Generally cloud computing services are distributed …
Published in Recent Trends in Programming languages · Vol. 1, Issue 2, 2014 · pp. 20–26 Read article
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Faulty Object Detection by Image Processing Based on Modified Back-Propagation Algorithm of Artificial Neural Network
Abstract: The conventional algorithms such as canny edge detection require so much computation which makes it more time consuming. Hence it is not used for industrial applications such as damage detection because each product should be analyzed in a fraction of seconds so that the manufacturing rate of the industry should not be affected. Hence Artificial Neural Network can be used for edge detection. Though it requires a lot of time …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 19–25 Read article
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Educating Compilers to Learn: Utilizing Machine Learning for More Brilliant Code Optimization
Abstract: This study explores the use of machine learning (ML) approaches to compiler optimization. The now-traditional static compilation techniques are transformed into adaptive, dynamic systems capable of making context-specific advancements. Traditional compilers rely mostly on heuristic or rule-based optimization techniques. While these techniques work well in general cases, they consistently fail to adapt well within the limits of code structures that modern machines display. This limitation is especially acute in today's …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 50–54 Read article
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Next-Gen Techniques for Bottleneck Detection in High-Performance Computing
Abstract: Modern computing systems face new challenges in bottleneck detection and mitigation due to their increasing complexity which stems from multi-core architectures alongside distributed platforms and real-time processing needs. Traditional methods like hardware profiling and static analysis which used to work well now struggle to keep up with the changing conditions of dynamic system behaviors and diverse computing environments along with variable workload patterns. The current limitations restrict their capability to …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 09–14 Read article