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1998 articles for “A* algorithm” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Implementation of LMS Calibration Algorithm for 12-Bit Pipelined ADC
Abstract: Normal 0 false false false EN-IN X-NONE X-NONE As the technology is scaling, digital systems perform well with that but analog systems undergo degradation in their performance due to reduced gain. Thus, to improve their performance various calibration techniques are used. This paper implements one of such a digital calibration technique using digital signal processing, to compensate for the errors in 12-bit pipelined ADC with 1.5 bit/stage architecture at lower …
Published in Journal of VLSI Design Tools and Technology · Vol. 5, Issue 3, 2015 · pp. 104–113 Read article
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Comparison of Various Load Balancing Algorithms in Cloud Computing
Abstract: The components associated with distributed computing are customers, datacenter and appropriated server. One of the principal issuesin distributed computing isload adjusting. Adjusting the heap intends to circulate the outstanding task at hand among a few hubs uniformly so no single hub will be over- burden. Burden can be of any kind that is it very well may be CPU load, memory limit or system load. Right now, introduced a design …
Published in Recent Trends in Parallel Computing Read article
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A Survey of Several Machine Learning (ML) Algorithms for Security Solution in Internet of Things (IoT) Networks
Abstract: The Internet of Things (IoT) refers to the integration of physical objects with the Internet, allowing for connectivity and monitoring. This idea has garnered immense attention from researchers and users alike, driven by the widespread accessibility of the Internet. It spans a wide range of devices, including smart versions of conventional appliances, innovative tools tailored for Internet-enabled ecosystems, and sensors that leverage connectivity to revolutionize industries such as manufacturing, healthcare, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 1–11 Read article
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Integrating Genetic Algorithms with Lean Manufacturing for Enhanced Production Efficiency
Abstract: Lean manufacturing is a well-established philosophy focusing on the systematic reduction of waste and the ongoing development of value supplied to the customer. It emphasizes efficiency, quality, and adaptability through ideas such as just-in-time production, continuous improvement (Kaizen), and value stream optimization. However, the increased complexity of modern production systems, driven by global rivalry, product variety, and rapid technology innovation, has shown the limitations of classic lean tools in achieving …
Published in Journal of Production Research & Management · Vol. 15, Issue 3, 2025 · pp. 38–43 Read article
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Real-time Implementation of Binary Mask Algorithm for Hearing Prosthetics
Abstract: As the current speech enhancement algorithms can give results for improved speech audibility only. So, our main motivation is to develop speech enhancement algorithm that would improve performance in speech for hearing impaired persons. In this paper, an algorithm is presented for improving speech intelligibility. Various speech enhancement algorithms were developed but only some of them can be used for real time hearing aid applications. This proposed algorithm can be …
Published in Journal of Microelectronics and Solid State Devices · Vol. 3, Issue 1, 2016 · pp. 36–42 Read article
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A Survey on Different Speech Enhancement Algorithms used in Hearing Aid Application
Abstract: AbstractThe requirement for efficient speech enhancement techniques in hearing prosthetics is encountered for many practical applications. Existing speech enhancement algorithms can improve speech quality but not speech intelligibility and reasons for that are unresolved. In the development process of noise reduction algorithms, an objective with speech intelligibility is of great interest. In this review paper, different algorithms for hearing prosthetics are studied. After reviewing standard methods used for speech intelligibility …
Published in Journal of Semiconductor Devices and Circuits · Vol. 3, Issue 1, 2016 · pp. 1–5 Read article
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Improved Genetic Algorithmic Rule Mistreatment Hybrid Initial Population to Resolve Travelling Salesman Drawback
Abstract: Abstract: The algorithmic genetic rule is beneficial to resolve the optimization issues. It performs genetic operators to solve optimization issues. Travelling salesman problem (TSP) may be a well-known optimization downside, but TSP is beneficial to resolve the several difficulties of science and engineering. In this paper, to determine TSP, algorithmic genetic rule is applied. An initial hybrid population is generated in an algorithmic hereditary rule. The coupling of the initial …
Published in Current Trends in Information Technology · Vol. 9, Issue 3, 2019 · pp. 46–50 Read article
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A Framework for Test Data Generation Using Genetic Algorithm
Abstract: Software testing is one of the best methods to increase the confidence of the programmers in terms of correctness, quality and reliability of software. The testing effort is divided into three parts: test case generation, test execution, and test assessment. The goal of software testing is to design a set of minimal number of test data such that it reveals as many faults as possible. This paper proposed a framework …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 1, 2016 · pp. 18–25 Read article
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Optimal Cell Sizing of CMOS Two-Stage Operational Amplifier using Cuckoo Search Algorithm
Abstract: Abstract: Operational amplifier (op-amp) is commonly used in different analog circuits such as amplifiers, oscillators, comparators, digital to analog converters, analog to digital converters, mixers etc. Manual cell sizing of a CMOS based op-amp circuit for VLSI application is a challenging, boring, and time-consuming work for engineers. So that, the automatic cell sizing of an op-amp is an eminent topic of growing technical and cost-effective significance. An evolutionary algorithm (EA) …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 109–118 Read article
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An Improved Cluster Head Election Algorithm Using Energy or Weight of Path in MANET
Abstract: Mobile ad hoc network is one of the well-known technologies among wireless networks. Due to mobility and dynamic topology the network suffers from different security and performances issue. Therefore, the clustering algorithms are implemented for improving the scalability and performance of the routing algorithms. The presented work demonstrates a MANET clustering algorithm and their design strategy. The overview of the proposed routing techniques is discussed in this paper.Cite this ArticleKuldeep …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 3, Issue 1, 2016 · pp. 10–16 Read article
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Mobile Ad Hoc Network Using Routing Algorithm Based on location Information by Mesh Topology
Abstract: In this environment world, mobile network deice provide a variety of MANET [Mobile Ad - Hoc - Networking] protocol for communication. This is wireless and continuously self configuration n/w of mobile device connected wirelessly. Wireless network can be classified in two types. Infra structure network & Infrastructure less Network. This protocol study focused the study of shortest path routing also study about securing and trends of mobile communication by using …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 5, Issue 3, 2018 · pp. 11–14 Read article
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A Hybrid Approach for Test Path Generation and Prioritization using Depth First Search and Tabu Search Algorithm
Abstract: Software testing is one of the main phases of Software Development Life Cycle (SDLC). Software testing is used to reduce errors, reduce software cost and ensure the quality of the software. To ensure the correctness of the software, generation of test cases is the most important issue in software testing. Test cases can be derived from Unified Modelling Language (UML) models more efficiently. During test case development, there might be …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 2, Issue 2, 2015 · pp. 7–20 Read article
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A New Variant of Bat Algorithm and Clustering Approach for Optimization Problems
Abstract: AbstractThis paper proposes a new variant of bat algorithm for optimization problems for solving global and continuous optimization problems to expand the weakness of BAT. The planned algorithm uses the genetic bat tactics for improving the search and to overcome the deficiency, directional echolocation is introduced to the standard bat algorithm to enhance its exploration and exploitation capabilities. The outcomes are taken on six benchmark optimization problems. From upshots, it …
Published in Journal of Web Engineering & Technology · Vol. 4, Issue 3, 2017 · pp. 1–5 Read article
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Comparison of Various Load Balancing Algorithms in Cloud Computing
Abstract: The components associated with distributed computing are customers, datacenter and appropriated server. One of the principal issues in distributed computing is load adjusting. Adjusting the heap intends to circulate the outstanding task at hand among a few hubs uniformly so no single hub will be overburden. Burden can be of any kind that is it very well may be CPU load, memory limit or system load. Right now, introduced a …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 2, 2021 · pp. 1–5 Read article
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Optimization of Green Sand Casting Process Using Genetic Algorithm
Abstract: This research includes minimization of some of the sand casting defects like Blowholes, Cracks, Porosity using genetic algorithm. Data collection is carried out from medium scale sand casting industry. Some of critical parameters like moisture, permeability, LOI, compressive strength, volatile content, vent holes, pouring time, pouring temperature and mould hardness are identified in the process. L27 orthogonal array is selected. Genetic algorithm is used to optimized the process parameters. Process …
Published in Trends in Machine design · Vol. 4, Issue 2, 2017 · pp. 25–29 Read article
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Performance Analysis of Mobility over the Integrated UMTS and WLAN Network in different Mobility Models with Vertical Handoff Prediction Algorithms using Streaming Service
Abstract: The seamless mobility is the final goal of any heterogeneous network. It can be achieved by selecting a suitable vertical handoff prediction algorithm, which can perform well in different mobility models. This paper presents comparative performance of mobility over the integrated universal mobile telecommunications system (UMTS) and wireless local area network (WLAN) in different mobility models (the file-based mobility model and the random waypoint mobility model) with vertical handoff prediction …
Published in Recent Trends in Electronics Communication Systems · Vol. 3, Issue 1, 2016 · pp. 35–47 Read article
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Optimizing Routing and Placement of VLSI Circuits with Differential Algorithms and Neural Networks
Abstract: The performance of modern VLSI systems is heavily influenced by power constraints, necessitating precise power estimation and effective optimization techniques. Traditional methods, such as gate-level simulations, are often slow and computationally intensive. This paper introduces DRPENN (Differential Algorithm for Routing and Placement Optimization using Neural Networks), an innovative solution that combines a Switching Activity Estimator (SAE) with a neural network-assisted differential algorithm. By leveraging toggle rates from simulations to train …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 2, 2024 · pp. 14–20 Read article
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Literature Review and Discussion of Machine Learning Algorithms for Predicting Chronic Kidney Disease
Abstract: Being one of the most serious and most occurring diseases in our era, chronic kidney disease requires a fast and correct diagnosis. The usage of machine learning in medicine has now grown to such a level that it could be a means of diagnosis. The doctor can be the first one to get the ailment by using machine learning classifier algorithms. This has been the data science sector’s new horizons, …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 34–39 Read article
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Trapped in the Feed: The Psychology of Social Media Addiction, Algorithms, and Fear of Missing Out (FoMO)
Abstract: Social media has now become the most crucial part of our life which has multiple advantages, such as connecting with old friends, sharing personal experiences, creating a good social circle, and accessing knowledgeable information. However, excessive use can result in social media addiction. This research paper aims to determine the psychology behind social media addiction and its factors, how the psychological behaviors can lead to social media addiction, the role …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 3, 2024 · pp. 8–19 Read article
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Optimization of Turning Process Parameters by Genetic Algorithm Approach
Abstract: In this research, turning parameters were optimized through a genetic algorithm for the purpose to minimize surface roughness and to maximize the material removal rate. High finish quality is guaranteed through minimum surface roughness, and efficient process planning is facilitated through maximum material removal rate optimization. For predicting surface roughness and material removal rate with respect to spindle speed, feed rate, and depth of cut, the empirical models were developed …
Published in Journal of Production Research & Management · Vol. 15, Issue 1, 2025 · pp. 33–41 Read article