9 results for “Kalman Filtering”

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Research ArticleOpen accessPhrase in the titleWellbore Surveying While Drilling Based on Kalman FilteringMahmoud ElGizawy, Aboelmagd Noureldin, Jacques Georgy et al.Problem statement: Oil and gas are global fuels obtained primarily from drilling wells in underground terrestrial reservoirs. Vertical drilling is preferred because of its simplicity and therefore low cost, but subsurface targets can often be procured only by directing the wellbore along predefined non-vertical trajectories. For instance, directional drilling must be employed to reach locations inaccessible to the drilling rig, … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 2 · 30 Jun 2010 · 8,577 accessesView PDF Cite

Research ArticleOpen accessPhrase in the titleKalman Filtering for Stocks Price Prediction and ControlJimbo Henri Claver, Mbiazi Dave, Shu Felix CheStocks price analysis has been a critical area of research as the stock market is a very fluctuating market. Stocks price is affected by demand and supply dynamics making it difficult to forecast the price of a stock at a particular instant. The entire idea of predicting stocks price is to gain significant profits but predicting how the stock market … …Journal of Computer Science, Vol. 19, Issue 6 · 20 May 2023 · 6,367 accessesView PDF Cite

Research ArticleOpen accessPhrase in the titleDynamic Control Allocation through Kalman FilteringGianfranco Morani, Francesco Nebula, Federico Corraro, Marco AriolaControl Allocation (CA) in aviation is the problem of distributing the commands among the available actuation means, in order to ensure the achievements of the moments requested by the flight control laws. CA plays a key role in fault-tolerant control systems since it gives robust performances and stability also in presence of faults to one or more aircraft actuators. In … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 1 · 12 Feb 2019 · 8,837 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsAn Adaptive Assessment and Prediction Mechanism in Network Security Situation AwarenessYu-Beng Leau, Ali Abdulrazzaq Khudher, Selvakumar Manickam, Samer Al-SalemNetwork intrusion attempts have reached an alarming level. Cisco's 2014 Security Report indicated that 50,000 network intrusions were detected and 80 million suspicious web requests were blocked daily. Hence, Intrusion Prevention System (IPS) had been chosen as a defence mechanism in many organizations. However, the University of South Wales reported that seven big-brand IPS had failed to detect and block … …Journal of Computer Science, Vol. 13, Issue 5 · 22 May 2017 · 8,349 accessesView PDF Cite

Research ArticleOpen accessIn the abstractStock Closing Price Forecasting Using LSTM, Sentiment Analysis, Kalman FilterAssel Abdildayeva, Galymzhan Nurtugan, Guldana Taganova, Ardak AkhmetovaThe article explores the problem of predicting the closing prices of stocks using an innovative approach that combines methods of machine learning, sentiment analysis and noise filtering. The focus is on the development and testing of a comprehensive model that integrates recurrent neural networks (LSTM) for time series analysis, the GPT-3 language model for processing and analyzing textual data from … …Journal of Computer Science, Vol. 20, Issue 11 · 4 Sep 2024 · 6,262 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEmbedded Architecture for Object Tracking using Kalman FilterAhmad Abdul Qadir Al RababahIntelligent video is a new area of research fairly wide allowing to do a study, analysis, or interpretation of digital video such as motion analysis. However, for a video surveillance system, a motion analysis task of digital video includes the detection of moving objects and their tracking. The object detection allows the location of the regions of interest, which represents … …Journal of Computer Science, Vol. 12, Issue 5 · 18 May 2016 · 7,419 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEnhanced Channel Estimation and Performance Analysis Using H-Infinity Filter for MIMO-Orthogonal Frequency Division Multiplexing SystemsJoseph Gladwin Sekar, Salivahanan SankarappanThis paper, deals with H-infinity channel estimation technique for Orthogonal Frequency Division Multiplexing (OFDM) systems, in fading channel. Channel estimation is important for wireless applications because, in practical transmission scenario, channel correlation functions are either not known or cannot be easily estimated. It is therefore desirable to have an estimator which is robust to mismatches between the assumed and the … …Journal of Computer Science, Vol. 11, Issue 2 · 29 Jan 2015 · 6,823 accessesView PDF Cite

Research ArticleOpen accessIn the abstractTime-Delay Estimation using the Characteristic Roots of Delay Differential EquationsSun Yi, Wonchang Choi, Taher Abu-LebdehProblem statement: For ordinary dynamic systems (i.e., non-delayed), various methods such as linear least-squares, gradient-weighted least-squares, Kalman filtering and other robust techniques have been widely used in signal processing, robotics, civil engineering. On the other hand, time-delay estimation of systems with unknown time-delay is still a challenging problem due to difficulty in formulation caused. Approach: The presented method makes use … …American Journal of Applied Sciences, Vol. 9, Issue 6 · 7 Apr 2012 · 8,082 accessesView PDF Cite

Research ArticleOpen accessIn the abstractIndirect Kalman Filter in Mobile Robot ApplicationSurachai PanichProblem statement: The most successful applications of Kalman filtering are to linearize about some nominal trajectory in state space that does not depend on the measurement data. The resulting filter is usually referred to as simply a linearized Kalman filter. Approach: This study introduced mainly indirect Kalman filter to estimate robot’s position. A developed differential encoder system integrated accelerometer is … …Journal of Mathematics and Statistics, Vol. 6, Issue 3 · 30 Sep 2010 · 7,385 accessesView PDF Cite