Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

21 articles for “Parameter Identification”
Set a search alert
Research ArticleOpen accessIn the abstractDirect Model Reference Adaptive Controller Based-On Neural-Fuzzy Techniques for Nonlinear Dynamical SystemsHafizah Husain, Marzuki Khalid, Rubiyah YusofThis paper presents a direct neural-fuzzy-based Model Reference Adaptive Controller (MRAC) for nonlinear dynamical systems with unknown parameters. The two-phase learning is implemented to perform structure identification and parameter estimation for the controller. In the first phase, similarity index-based fuzzy c-means clustering technique extracts the fuzzy rules in the premise part for the neural-fuzzy controller. This technique enables the recruitment … …American Journal of Applied Sciences, Vol. 5, Issue 7 · 31 Jul 2008 · 6,946 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploring Strategies for Parallel Computing of RS Data Assimilation with SWAP-GAShamim Akhter, Kiyoshi Honda, Yann Chemin, Putchong UthayopasAn agro-hydrological simulation model is useful for agriculture monitoring. One issue in running such model is parameter identification, especially when the target area is large such as provincial or country level. Remote Sensing (RS) provides us with useful information over large area. RS cannot observe input parameters of agro-hydrological models directly. However, a method to estimate input parameters of such … …Journal of Computer Science, Vol. 3, Issue 1 · 31 Jan 2007 · 7,214 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Novel Approach Based on Federated Learning for the Identification of Man in the Middle Attacks in IOT Networks Using BlockchainSarumathi S, Juliet Johny, Minal Khandare et al.Federated Learning (FL) enables cooperative model training across dispersed edge devices while protecting data privacy and providing localized insights without the need for centralized data aggregation. In the Internet of Things (IoT), federated learning enables cooperative model training among dispersed edge devices while protecting data privacy and providing localized insights without the need for centralized data aggregation. Nevertheless, Federated Learning’s … …Journal of Computer Science, Vol. 22, Issue 2 · 23 Feb 2026 · 1,618 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordBamboo Lightweight Shear Walls: Modeling and Identification of Sheathing-to-Framing Connections for Seismic Response AnalysisGiorgia Di Gangi, Cristoforo Demartino, Giuseppe QuarantaThe need for enhancing the sustainability of civil constructions has originated an increasing interest in the use of engineered bamboo-based products within the building sector. Nonetheless, while the static response of bamboo-made structures has been largely investigated, experimental and numerical researches concerning the response under dynamic loads are limited. Therefore, the present work deals with the assessment of the seismic … …International Journal of Structural Glass and Advanced Materials Research, Vol. 4, Issue 1 · 16 Jun 2020 · 6,946 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordIDENTIFICATION AND CHARACTERIZATION OF EXTREME RAINFALLS DISTRIBUTION IN MALANG RESIDENCEAmran, Iriawan Nur, Subiono, IrhamahExtreme rainfalls often occur everywhere just in a moment, very difficult to be anticipated and produce very detrimental impact to the environment and human society. Floods and landslides are influenced by high variability of extreme rainfalls, especially in the watershed area for floods and the hills as well as mountains for landslides, such as in Malang Residence, East Java, Indonesia … …Journal of Mathematics and Statistics, Vol. 9, Issue 4 · 30 Nov 2013 · 6,771 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordIdentification of Characteristics of Land Cover in Mangkauk Catchment Area Using Support Vector Machine (SVM) And Artificial Neural Network (ANN)Ichsan Ridwan, Mohammad Bisri, Fadly Hairannoor Yusran et al.Land cover is anything that includes any types of appearance on the surface of the earth on a particular land. Information related to land cover can be used as at the parameter to determine the amount of runoff in a catchment area. This study was conducted in the Catchment Area (CA) of Mangkauk using Landsat 8 OLI/TIRS 2014 scene path/row … …American Journal of Applied Sciences, Vol. 14, Issue 7 · 21 Jul 2017 · 7,660 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordStar Catalog Generation for Satellite Attitude Navigation Using Density Based ClusteringMuhammad Arif Saifudin, Bib Paruhum Silalahi, Imas Sukaesih SitanggangA new method to generate star catalog using density-based clustering is proposed. It identifies regions of a high star density by using Density-Based Spatial Clustering of Application with Noise (DBSCAN) algorithm. Reducing the number stars performed by storing the brightest star in each cluster. The brightest star and all non-clustered members are then stored as a navigation star candidate. Monte … …Journal of Computer Science, Vol. 11, Issue 12 · 1 Feb 2016 · 6,975 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordIdentification the Specific Relationships among Physical Parameters which Use to Quantify Inactivation Effect of Charged Particles at Low DosesAbubaker Ali Yousif, Ismail Bin Bahari, Muhamad Samudi YasirProblem statement: The relationships among physical qualities parameters which are characterized charged particles are not extensively determined for all types of ionizing radiations; the specific physical parameters that are also qualified to quantify the radiation effects of charged particles have been investigated. Approach: Secondary data of charged particles which are used to irradiate mammalian cells in vitro has been employed … …Physics International, Vol. 1, Issue 2 · 31 Dec 2010 · 6,533 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordError Vector Normalized Adaptive Algorithm Applied to Adaptive Noise Canceller and System IdentificationZayed RamadanProblem statement: This study introduced a variable step-size Least Mean-Square (LMS) algorithm in which the step-size is dependent on the Euclidian vector norm of the system output error. The error vector includes the last L values of the error, where L is a parameter to be chosen properly together with other parameters in the proposed algorithm to achieve a trade-off … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 4 · 5 Nov 2010 · 8,216 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEstimation under Multicollinearity: A Comparative Approach Using Monte Carlo MethodsD. A. Agunbiade, J. O. IyaniwuraProblem statement: A comparative investigation was done experimentally for 6 different Estimation Techniques of a just-identified simultaneous three-equation econometric model with three multi-collinear exogenous variables. Approach: The aim is to explore in depth the effects of the problems of multicollinearity and examine the sensitivity of findings to increasing sample sizes and increasing number of replications using the mean and total … …Journal of Mathematics and Statistics, Vol. 6, Issue 2 · 30 Jun 2010 · 7,534 accessesView PDFCite