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113 results for “State Machine”
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Research ArticleOpen accessPhrase in the titleModeling the Semantics of States and State MachinesSabah Al-FedaghiA system’s behavior is typically specified through models such as state diagrams that describe how the system should behave. According to researchers, it is not clear what a state actually represents regarding the system to be modeled. Standards do not provide adequate definitions of or sufficient guidance on the use of states. Studies show these inconsistencies can lead to poor … …Journal of Computer Science, Vol. 16, Issue 7 · 14 Jul 2020 · 6,974 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleStructural Characterization at the Atomic Level of a Molecular Nano-Machine: The State of the Art of Helicobacter Pylori Flagellum OrganizationIvana Pulić, Valentina Loconte, Giuseppe ZanottiMotility is fundamental for success in colonization and survival of the human pathogen H. pylori, the bacterium that colonizes about half of the human population. Motility is achieved through flagella. In this review the present structural knowledge about the organization of H. pylori flagella is summarized, considering not only the structure of its proteins, but also what is known about … …American Journal of Biochemistry and Biotechnology, Vol. 10, Issue 3 · 12 Nov 2014 · 8,310 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSpecialization of Recursive Predicates from Positive Examples OnlyMoussa DembaProblem statement: Given an overly general (definite) program P and its intended semantics Φ (the programmer’s intentions) where P does not satisfy Φ, find out a new version P’ of P such that P’ satisfies Φ. Approach: We proposed an approach for correcting overly general programs from positive examples by exploiting program synthesis techniques. The synthesized program, P’, is a … …Journal of Computer Science, Vol. 6, Issue 6 · 30 Jun 2010 · 6,854 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStatic Synchronous Series Compensator Controller based on Fuzzy Logic Control for Power System StabilizationPrechanon KumkratugProblem statement: Modern power system consists of the complicated network of transmission lines and carries heavy demand. Thus they cause in the stability problem. Approach: Static Synchronous Series Compensator (SSSC) is a power electronic based device that has the capability of controlling the power flow through a line. The series voltage injection model of SSSC is modeled into power flow … …American Journal of Applied Sciences, Vol. 8, Issue 10 · 7 Sep 2011 · 7,450 accessesView PDFCite
Research ArticleOpen accessIn the keywordsLow Power Hardware Implementation of High Speed FFT CoreM. Kannan, S. K. SrivatsaApplications based on Fast Fourier Transform (FFT) such as signal and image processing require high computational power. This paper proposes the implementation of radix-4 based parallel-pipelined Fast Fourier Transform processor which incorporates a low power commutator, butter-fly with multiplier-less architecture. The proposed parallel pipelined architectures have the advantages of high throughput and low power consumption. The multiplier-less architecture uses shift … …Journal of Computer Science, Vol. 3, Issue 6 · 30 Jun 2007 · 7,227 accessesView PDFCite
Research ArticleOpen accessIn the abstractIoT-Based Smart Hydroponic System for Nutrient Management Using Predictive Machine Learning AlgorithmsPalash Gourshettiwar, K. T. V. ReddyHydroponics, an efficient cultivation method, benefits significantly from the precision and adaptability that Machine Learning (ML) algorithms can offer, along with the real-time monitoring facilitated by the devices using the Internet of Things (IoT). This study summarises the latest research and discusses how Machine Learning and the IoT work together, focusing on nutrient optimization, plant development, and resource efficiency. The … …Journal of Computer Science, Vol. 22, Issue 3 · 11 Mar 2026 · 3,046 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Approach for Differentiating AI-Generated and Real Images Using Gabor and Color Layout Filters (GF and CLF)G. Ayyappan, A. Thankaraj, S. Surendran et al.The emergence of generative AI images has profoundly upended the art world. Distinguishing AI-generated images from human-created artwork is increasingly challenging. If this issue remains unresolved, dishonest individuals may exploit those who are willing to pay more for original artwork and businesses whose stated policies exclude AI graphics. There are a number of methods for differentiating AI photos from human … …Journal of Computer Science, Vol. 22, Issue 2 · 3 Mar 2026 · 1,751 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Cybersecurity: Dynamically Retrainable Firewalls for Real-Time Network ProtectionSina AhmadiThe growing complexity of cyberattacks has necessitated the evolution of firewall technologies from static models to adaptive, machine learning-driven systems. This research introduces “Dynamically Retrainable Firewalls”, which respond to emerging threats in real-time. Unlike traditional firewalls that rely on static rules to inspect traffic, these advanced systems leverage machine learning algorithms to analyze network traffic patterns dynamically and identify threats. … …Journal of Computer Science, Vol. 21, Issue 9 · 7 Nov 2025 · 2,558 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation of Single Candidate Loss Optimization Algorithm for Loss Optimization of Bhojpuri-English Machine Translation ModelRituraj Dixit, Sarabjeet Singh Bedi, Ibrahim Aljubayri, Mohammad Zubair KhanMachine translation of low-resource Indian languages is necessary as most of the regions still know and speak their specific dialects and are still not comfortable understanding the English language. Indian languages are morphologically rich, due to which there are two big challenges, Ambiguity and Domain adaption, which are faced by researchers during the translation. Lack of data also increases the … …Journal of Computer Science, Vol. 21, Issue 5 · 17 Apr 2025 · 5,151 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Optimized Extreme Learning Machine (GA-OELM) for DDoS Attack Detection in Cloud EnvironmentMeryem Ec-Sabery, Adil Ben Abbou, Abdelali Boushaba et al.The widespread adoption of cloud computing has increased the attack surface and raised significant security concerns. A Distributed Denial of Service (DDoS) is a serious attack that depletes the network and server resources in cloud computing, causing service downtime or reduced performance. Therefore, defending against DDoS attacks becomes an urgent need. In this present paper, we propose an Optimized Extreme … …Journal of Computer Science, Vol. 21, Issue 1 · 19 Dec 2024 · 5,033 accessesView PDFCite