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138 articles for “Optimal Parameters”
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Research ArticleOpen accessIn the abstractWavelet Shrinkage in Noise Removal of Hyperspectral Remote Sensing DataHelmi Z.M. Shafri, Paul M. MatherIt is common in hyperspectral remote sensing studies to perform analysis based on derivative spectroscopy. However, this technique is particularly sensitive to noise in the data. Thus, noise removal is essential before any derivative analysis. Various methods of noise removal are described in the literature. A newly developed method based on the wavelet transform appears promising, though there is little … …American Journal of Applied Sciences, Vol. 2, Issue 7 · 31 Jul 2005 · 7,013 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamical Properties Analysis of Frictional Winding Mechanism with Bobbin Elastic SupportMohammed A. Alnawafleh, Faisal M. Al-GhathianA mathematical model of the Frictional Winding Mechanism (FWM) with bobbin elastic supports for a search of optimal structural and physical parameters for developing new and updating existing FWMs has been carried out. The model was derived from bobbin equipped with pendulum suspension for forming cylinder shaped packages. In the derivation method it was considered that the model corresponds the … …American Journal of Applied Sciences, Vol. 2, Issue 4 · 30 Apr 2005 · 6,879 accessesView PDFCite
Research ArticleOpen accessIn the abstractMathematical Modeling of Wastewater Oxidation under Microgravity ConditionsBoyun Guo, Donald W. Holder, David S. SchechterVolatile removal assembly (VRA) is a module installed in the International Space Station for removing contaminants (volatile organics) in the wastewater produced by the crew. The VRA contains a slim pack bed reactor to perform catalyst oxidation of the wastewater at elevated pressure and temperature under microgravity conditions. Optimal design of the reactor requires a thorough understanding about how the … …American Journal of Applied Sciences, Vol. 2, Issue 2 · 28 Feb 2005 · 6,888 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEmploying Hybrid Serial Cascaded Adaptive Network for Anomaly Detection and Prevention in IoT Time Series Data With Optimal Interdomain RoutingKante Satyanarayana, K. VenkateshNowadays, emerging Internet of Things (IoT) in data processing becomes interested research topic and is used for various applications. This varies from big data processing and analytics for accumulating entire sensor data to detect and generate long-term trends. Nevertheless, this results in the requirement for resources like the execution of power, memory, and bandwidth, in which resource-constrained IoT tools suffers … …Journal of Computer Science, Vol. 22, Issue 1 · 21 Feb 2026 · 1,466 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordParameter Measurement and Calibration in Discrete Element Simulation of Broken Sweet Potato SeedlingsGuizhi Mu, Xieteng Qi, Wangzhi Zhang et al.Given the lack of accurate parameter values in discrete element simulation of sweet potato seedling mechanized recovery, a direct measurement and virtual calibration method was used to study the Discrete Element Method (DEM) simulation parameters of broken sweet potato stems and leaves. The intrinsic parameters, collision recovery coefficient and static friction coefficient of broken seedlings were acquired by physical experiments. … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 2 · 8 Jun 2021 · 6,369 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordNovel Depression Classification Framework Using Optimal Feature Integration with Hybrid Convolution (1D/3D) Based Adaptive Residual DenseNetB. Manjulatha, Suresh PabbojuThis study introduces a novel depression classification method by incorporating multimodal data to reduce this limitation and improve the accuracy of depression diagnosis. In the beginning, the multimodal data such as speech signal, Electroencephalographic (EEG), and text data is obtained from the benchmark datasets. These acquired text data are subjected to the text pre-processing phase, where the stemming, character removal, … …Journal of Computer Science, Vol. 21, Issue 3 · 25 Feb 2025 · 5,860 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEnhancement of Geobacillus thermodenitrificans Lipase Activity and Binding Affinity by Acetone Treatment: Kinetic and in silico InvestigationsAmmar Khazaal Kadhim Almansoori, Alyaa Abdulhussein Alsaedi et al.Lipase Geobacillus thermodenitrificans (LipGt) is a thermostable enzyme that has an optimal activity temperature of 65°C. It can tolerate various organic solvents and has an improved activity, especially in the presence of acetone. In this study, in-vitro and in-silico studies were carried out to investigate the effect of acetone in enhancing the kinetic and binding affinity of LipGt. The LipGt … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 4 · 10 Oct 2024 · 4,817 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordExploring Optimal Topology and Routing Algorithm for 3D Network on ChipN. Viswanathan, K. Paramasivam, K. SomasundaramProblem statement: Network on Chip (NoC) is an appropriate candidate to implement interconnections in SoCs. Increase in number of IP blocks in 2D NoC will lead to increase in chip area, global interconnect, length of the communication channel, number of hops transversed by a packet, latency and difficulty in clock distribution. 3D NoC is evolved to overcome the drawbacks of … …American Journal of Applied Sciences, Vol. 9, Issue 3 · 12 Jan 2012 · 7,184 accessesView PDFCite