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40 results for “niti”
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Research ArticleOpen accessIn the abstractCyclic Instability of Shape-Memory Alloys in Seismic Isolation SystemsFilipe Amarante dos Santos, Corneliu Cismasiu, Francisco Braz FernandesShape-memory alloys are being progressively introduced as kernel components in seismic retrofitting devices for civil engineering structures. In order to control the instability associated with the first mechanical cycles, a training procedure is usually implemented, which stabilizes the superelastic behavior of the alloy. This paper addresses the characterization of the cyclic behavior of an austenitic NiTi alloy with emphasis on … …International Journal of Structural Glass and Advanced Materials Research, Vol. 2, Issue 1 · 7 Jan 2018 · 6,854 accessesView PDFCite
Research ArticleOpen accessIn the abstractFrictional Properties of Self-Ligating Brackets and Low-Friction LigaturesMaria Francesca Sfondrini, Danilo Fraticelli, Federico Rosti et al.Problem statement: To evaluate the frictional forces generated by five different orthodontic brackets when used in combination with stainless steel and NiTi archwires in dry conditions at physiological temperature. Approach: Five different types of maxillary canine brackets (Damon 3 MX, Step, Quick, Sprint, Mini Mono) with a slot size 0.022 inch were coupled with 0.016” and 0.019”×0.025” stainless steel and … …Current Research in Dentistry, Vol. 3, Issue 1 · 9 Mar 2012 · 13,058 accessesView PDFCite
Research ArticleOpen accessIn the abstractTaxonomic Revision of the Genus Rhaponticum (Asteraceae) of KazakhstanSaule Alikhankyzy Mamyrova, Andrey Nikolayevich Kupriyanov, Anna Andreevna Ivashchenko, Serik Argynbekovich KubentayevAn overview of the genus Rhaponticum Vaill. is presented, as growing on the vast territoryof Kazakhstan. The study is based on field materials, literature and accuraterevision of herbarium materials. Data from more than 240 herbarium specimens storedin herbarium collections were analyzed: LE, AA, MW, TASH, KUZ, KG, NUR andMANG. The article provides illustrations and data on the general distribution,ecological occurrence, … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 22 Aug 2024 · 4,273 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvanced Manufacturing for Novel Materials in Industrial Design ApplicationsFrancesco Tamburrino, Antonio Apicella, Raffaella Aversa, Florian Ion Tiberiu PetrescuThe research presented starts with a focus on Smart Materials, or rather materials with properties that react to external stimuli (temperature, electric or magnetic field, pH or mechanical stress, for example) related to the environmental changes, modifying one or some of their own properties (mechanical, electrical, appearance, etc.). Afterward, one category of Smart Materials, Shape Memory Alloys (SMAs), has been … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 30 May 2018 · 8,535 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetermination of SVM-RBF Kernel Space Parameter to Optimize Accuracy Value of Indonesian Batik Images ClassificationAvinanta Tarigan, Dewi Agushinta, Adang Suhendra, Fikri BudimanImage retrieval using Support Vector Machine (SVM) classification verydepends on kernel function and parameter. Kernel function used by dot productsubstitution from old dimension feature to new dimension depends on imagedataset condition. In this research, parameter of Gaussian /Radial BasisFunction (RBF) kernel function is optimized using multi class non-linear SVMmethod and implemented to training and test datasets of traditional Indonesian batik … …Journal of Computer Science, Vol. 13, Issue 11 · 23 Oct 2017 · 7,530 accessesView PDFCite
Research ArticleOpen accessIn the abstractCONTENT BASED BATIK IMAGE CLASSIFICATION USING WAVELET TRANSFORM AND FUZZY NEURAL NETWORKAbdul Haris RangkutiIn this paper we introduce the content-based image classification using wavelet transform with Daubechies type 2 level 2 to process the characteristic texture consisting of standard deviation, mean and energy as Input variables, using the method of Fuzzy Neural Network (FNN). All the input value will be processed using fuzzyfication with 5 categories namely Very Low (VL), Low (L), Medium … …Journal of Computer Science, Vol. 10, Issue 4 · 19 Dec 2013 · 6,683 accessesView PDFCite