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108 results for “RMS”

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Research ArticleOpen accessIn the abstractFull Model Wind Tunnel Study on the Xia-Zhang Bridge Under Operation StageAyad Thabit Saeed, Zhang Liang Liang, Yang Zhuan Yun et al.Problem statement: Long-span cable-stayed bridges under service and particular construction conditions are very susceptible to wind action due to their great flexibility, so the aerodynamic stability is becoming a major concern in the design and construction phrases. Cable-stayed bridges may exhibit wind-induced vibration phenomena such as flutter, buffeting and vortex oscillation under wind excitation. The study concentrated on the issues … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 2 · 30 Jun 2010 · 8,191 accessesView PDFCite
Research ArticleOpen accessIn the abstractStructural Modeling of Fundamental Frequency Contour for Thai Expressive SpeechSuphattharachai ChomphanProblem statement: Appropriate modeling of fundamental Frequency (F0) contour for speech is a key factor to preserve the quality of speech prosody. One successful approach has been conducted for tonal language of Mandarin Chinese. It is based on the assumption that the behavioral characteristics of vocal-fold elongation in vibration could be approximated by those of a simple forced vibrating system. … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 7,050 accessesView PDFCite
Research ArticleOpen accessIn the abstractExposure of Broiler Chickens to a Weak Electromagnetic Field Reduces the Impact of a Simulated, Commercial Eimeria InfectionM.A. Elmusharaf, J.J. Cuppen, H.N.A. Grooten et al.Problem statement: In a previous study, the exposure of broiler chickens to a weak Electromagnetic Field (EMF) reduced the severity of a coccidiosis infection. The birds were infected by gavage into the crop which was not representative for the field situation. Approach: The possible anticoccidial activity of EMF was investigated in broiler chickens with a simulated, commercial coccidiosis infection. There … …American Journal of Animal and Veterinary Sciences, Vol. 5, Issue 1 · 31 Mar 2010 · 8,276 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuality Evaluation Techniques of Processing the ECG SignalMikhled Alfaouri, Khaled DaqrouqIn this research, methods to detect and evaluate the main parameters of the ECG signal are presented in order to improve its clinical properties. Two techniques are addressed in this research, Piecewise method and the Analytical Approach. These techniques are used to determine such as: percent (rms) difference (PRD), signal-noise-ratio (SNR) and the compression ratio (CR) which are used to … …American Journal of Applied Sciences, Vol. 5, Issue 12 · 31 Dec 2008 · 6,655 accessesView PDFCite
Research ArticleOpen accessIn the abstractQualitative Ferromagnetic Hysteresis ModelingM. Mordjaoui, M. Chabane, B. Boudjema, R. DairaIn determining the electromagnetic properties of magnetic materials, hysteresis modeling is of high importance. Many models are available to investigate those characteristics but they tend to be complex and difficult to implement. A new qualitative hysteresis model for ferromagnetic core presented, based on the function approximation capabilities of adaptive neuro-fuzzy inference system (ANFIS). The proposed ANFIS model combined the neural … …Journal of Computer Science, Vol. 3, Issue 6 · 30 Jun 2007 · 7,076 accessesView PDFCite
Research ArticleOpen accessIn the abstractOperation of an SLA-aware Grid FabricMatthias HovestadtResearch on Grid Computing started under purely technical questions of how to realize the virtualization of distributed resources. Now, the commercial user should be attracted to use the Grid. Future applications of the Next Generation Grid will demand for flexible negotiation mechanisms supporting various ways of Quality-of-Service (QoS) guarantees. In this context a Service Level Agreement (SLA) is a powerful … …Journal of Computer Science, Vol. 2, Issue 6 · 30 Jun 2006 · 6,659 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetermination of Crop Yield Detection and Prediction With Multimodal Data Using Fusion TechniquesKutlwano Sedimo, Rajalakshmi Selveraj, Venumadhav Kuthadi, Thulaganyo DimakatsoMost often, soil, environmental, and agronomic data are used in pieces, hence limiting the performance of crop selection and yield forecasting. This study develops an integrated, fusion-based framework that combines soil image classification, environmental feature analysis, and input-driven yield prediction to support precise agricultural decision-making. The system consists of three major modules: (i) a CNN for the classification of soil … …Journal of Computer Science, Vol. 22, Issue 10 · 5 Oct 2026 · 481 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Enhanced Neighbourhood and Latent Factor Model for Cold-Start RecommendationsAmritha P, Rajkumar KKAmong different recommendation strategies, collaborative filtering remains a commonly utilized method for generating personalized suggestions. The traditional collaborative algorithms face performance declines due to the sparse rating of data and the item cold-start problem. To overcome these challenges, this paper introduces a novel hybrid model called HCE-KNNCF (Hybrid Cognition-Enabled K-Nearest Neighbor Collaborative Filtering). The proposed model generates predicted rating by … …Journal of Computer Science, Vol. 22, Issue 9 · 21 Sep 2026 · 622 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Active Learning Ensemble Framework for Tropical Crop Yield PredictionAmol Bhilare, Debabrata Swain, Megh Patel et al.Agriculture always has great importance among all different sectors, not only in the world but also in India. It has a significant impact on food security and largely controls the economy. At present, technological advancements have significantly enhanced agricultural productivity, but it can still be further improved by the integration of new cutting-edge techniques like Artificial intelligence. Among the factors … …Journal of Computer Science, Vol. 22, Issue 9 · 11 Sep 2026 · 819 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementing a Hybrid VMD–BiTCN–BiGRU Architecture With Intelligent Optimization for Agricultural Commodity Price Prognostication in Gujarat MarketsJignesh Hirapara, Ratnesh Kumar Namdeo, Ankit Kumar Dubey et al.In the agricultural sector, the prices of pulses require adequate forecasting to plan farming activities, store and market, and guide policy-making. However, the pulse price series is highly volatile, seasonal, nonstationary, and nonlinear, and thus conventional linear time series models are not necessarily very effective. In the suggested framework, the raw price data series is decomposed using Variational Mode Decomposition … …Journal of Computer Science, Vol. 22, Issue 7 · 1 Aug 2026 · 1,021 accessesView PDFCite