Optimized design and investigation of novel reversible toffoli and peres gates using QCA techniques

Measurement Sensors, Journal Year: 2024, Volume and Issue: 32, P. 101036 - 101036

Published: Jan. 24, 2024

The QCA is a revolutionary dominating transistor-less computational nanotechnology based on quantum dots. As such, it might be used in the next generation of nano-electronics devices. New molecular materials like are being developed for use nanoscale devices and cables. major objective this research to optimize design investigate numerous properties reversible logic circuit design. These locations include, limited Toffoli Gate (TG) Peres (PG). To address key problems associated with physical integration digital circuits power consumption dissipation which leads synchronization issues, proposes novel gates (RLG-TG) single layer coplanar approach. RLG designs minimal area, latency, cell count (QCA) given implemented using Bijection functional method. Using QD-E (Energy) tool, first-order energy proposed shape impact output bias temperature also investigated. were tested CVSE parameters, had high clock signal saturation energies 9.8e-22 d (Jules), recovery times damping factors 1e-15 s, relative dielectric constants 12.90 GaAs AlGaAs. number cells by described new RLG-TG RLG-PG decreased 38.23 % 21.14 %, respectively, when compared optimal employed state-of-the-art designs. In investigation four-bit EPG OPG occupies 18.91 38.27 less requires 46.15 46.25 cells, both has been 66.66 improvement delay.

Language: Английский

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Impact of Green Marketing Strategies on Business Performance Using Big Data

Published: Dec. 12, 2023

The rapid development of the Internet information age has directly contributed to an increase in breadth internet use across a number distinct categories. These categories include social networking, access via mobile devices, and online shopping. era "big data," which presents organizations with both opportunities challenges, substantial influence on wide range societal sectors, including economy, politics, culture, as well people's day-to-day lives. While developing effective marketing platform top J2EE, it is very doable make many layers software, user layer, business logic data B/S3 layer application. process solutions for systems that are based mining comprises processes, analysis needs, design implementation solutions, testing finished products. Information Technology, big data, cloud computing potential significantly improve efficiency organizations' financial operational managers accountants. In research paper connected this article, there description precision solution computing. real test, examines deployment system expected system, finds performs well. creation considerable improvement business's profitability, which, turn, share price company.

Language: Английский

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Enterprise Human Resource Management Model By Artificial Intelligence Digital Technology

Published: Dec. 12, 2023

As a result of the implementation artificial intelligence, there is possibility that existing organizational structures and management procedures will go through significant transformations (AI). Conventional as well decision-making processes companies are being completely upended by AI. A backpropagation neural network (BPNN) based on AI digitizing technology used in construction salary prediction model (SPM), which then subjected to Nesterov Adaptive Moment Estimation (Nadam) approach for purpose further enhancing its accuracy. The end output known full title, (SPM). results this study have potential positive impact HRM process, amount work human resource managers do, overall efficiency professions. According findings, Nadam optimization technique offered highest degree performance fastest convergence. duration training was exactly 186 seconds, final score expected outcome 0.75 percent. Further proof SPM's validity may be seen remarkable learning accuracy rate up 79.4% achieved Nadam's BPNN-based SPM optimization. outcomes research might potentially serve guide development data mining-based solutions future.

Language: Английский

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The Emergence of Artificial Intelligence and Machine Learning in Contemporary Business Management

Published: Dec. 12, 2023

The purpose of this article is to demonstrate the relevance machine learning (ML) solutions management modern corporate organizations by focusing on improvement decision-making processes and roles that supervised unsupervised learning. Deep going be focus next digital frontier will opened up in field artificial intelligence (AI). According findings research, end 2022, two application software platforms used India Merchant Bank would have a total 114 million 91.2643 users, respectively. As compared previous year, amount personal savings held rose around 53%., while loans climbed approximately 61%. these findings, it seem using AI leads increased levels consumer happiness as well trust among businesses. This investigation concentrate five different (AI) technology systems: robotics, computer vision, autonomous cars, We take look at largest information companies world, who together spent almost $20 billion Migration Rate 2016. acquisition was only allotted 10% available cash, with other 90% into research development. In addition, tremendous progress has been made provision grants, funds, seed money for venture capital private equity investments Business process.

Language: Английский

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PCA based feature extraction and MPSO based feature selection for gene expression microarray medical data classification

Measurement Sensors, Journal Year: 2023, Volume and Issue: 31, P. 100945 - 100945

Published: Nov. 18, 2023

In this paper, a novel Multi Class based Feature Extraction (MC-FE) method has been proposed for medical data classification. Genomic datasets, or gene expression-based microarray are categorised cancer diagnosis. The first stage involves applying feature extraction technique. Principal Component Analysis (PCA) is used to extract the features classification detect leukemia, colon tumors, and prostate cancer. MPSO (modified particle swarm optimization) technique at second pick from high-dimensional datasets like cancer, tumors. Finally, SVM, KNN, Naive Bayes classifiers classify data. Then, classified stored in cloud IOT sensors. When compared existing methods, gives better optimized results of 0.88, 0.86, 0.73, respectively. selection also contrasted assessed using certain performance measure factors.

Language: Английский

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Automation Techniques Using AI Based Cloud Computing and Blockchain for Business Management

Published: Dec. 12, 2023

Cloud computing and blockchain technologies are being utilized to build supply chains in an attempt enhance firm performance venture capital administration. This study provides real data that outlines the purpose of companies adopting technology better their operations services, it does so by focusing on how these improvements may be achieved. research's main goal is assess activities investments organizations have made technology. By analyzing connections between capital, performance, chain integration, clear advantages as well those innovation optimization, play a significant role enhancement corporate performance. According was collected, time needed complete single transaction can range anywhere from 4,300 6,100 milliseconds, while gas value required protocol model suggested same for transactions ranging 104,000 116,000. It feasible improve firms supported businesses. article will serve resource understanding affect suppliers who do business with such

Language: Английский

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Design and Implementation of Blockchain Based Technology for Supply Chain Quality Management: Challenges and Opportunities

Published: Dec. 12, 2023

The research study explores the Supply Chain Quality Management (SCQM), ways for ensuring supply consistency at reasonable rates while maintaining high quality requirements in product network. To achieve objectives of modern manufacturing, it is necessary to handle enormous information generated by many production planning participants. In a chain, however, might be challenging meet with vendor faith and confidentiality standards because nature business. While this article concerned possible use blockchain SCQM, also provides an in-depth technological its viability, as well strategies migrating from present methodologies blockchain-based platforms. It mentioned how may used interesting place keep recommendation data. Blockchain combined IoT enhance SCQM Advanced Manufacturing framework compliances obstacles occurs lots prospects.

Language: Английский

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Enhancing Trust and Privacy in Edge and Cloud Computing Through Blockchain Technology

Published: Dec. 12, 2023

Decentralized character, solid database, security features, and, to a significant part, anonymity, block chain provides novel method for the storing, exchange, and preservation of private data. This is one reasons why it has become so popular. research combines benefits blockchain technology edge computing by developing core technological solutions that are based on chain. In addition this, makes use Parlier cryptosystem, which what enables additive homomorphism function. done guarantee operates as effectively possible reduce amount computational strain placed client. The node able process data received in cypher text, extract outcome, then deliver client text. All encrypted side where task being performed. results experiment with computer simulation demonstrate was presented practical effective. term "edge computing" today refers network different resources all linked another via broad variety communication mechanisms. operation energy grid dependent distributed systems connected internet. Assume every device client-owned resource (DER) securely service provider. On internet, information safeguarded SSL standards, but confidence must always be earned. order how model representing evaluating trust more comprehensive sense might put into effect, key example used this study grid. Actors at may engage interacting datacentre centre network.

Language: Английский

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Cattle Health Monitoring System Using IoT

Published: Dec. 12, 2023

The Wireless Sensor Networks (WSNs) with a fusion of IoT are revolutionizing the world due to their advanced technologies sensing. This initiated technology focuses on designing and executing cattle health monitoring system (CHMS) in backbone agriculture sector for improvement increase productivity. primary intention objective this is make animal husbandry which makes it more profitable increases dairy production. For implementing non-invasive wearable device used (Belt) will help track monitor physiological as well biological activities using (Internet Things) displaying expected output an authorized personnel app or web application used. responsible detecting abnormalities, motions, tracking live location, rumination time determination, diagnosing disease before reaching stage. As result, encompassing overall production be improved by reducing medical treatment costs ensuring consistency field husbandry. research results systems along variety issues problems solutions "Cattle Health Monitoring System Using IoT."

Language: Английский

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Analysis of the Cloudlet's Performance Using Machine Learning with Cloud Management System

Published: Dec. 12, 2023

Language: Английский

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