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186 results for “performance modeling”
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Research ArticleOpen accessIn the abstractChilled Water VAV System Optimization and Modeling Using Artificial Neural NetworksRand Talib, Nabil Nassif, Maya Arida, Taher Abu-Lebdehin 2016, It was estimated that about 40% of total U.S. energy consumption was consumed by the residential and commercial sectors. According to EIA, in 2009, the energy consumption in U.S. homes was 48% which was down from 58% in 1993 Residential Energy Consumption Survey (RECS). The development of building energy savings methods and models becomes apparently more necessary for … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 4 · 23 Oct 2018 · 7,465 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Enhancement Strategy of Ultra-Thin CIGS Solar CellsSoumaïla Ouédraogo, Boureima Traoré, Marcel Bawindsom Kébré et al.In this article, numerical modeling and simulation using SCAPS-1D software has been used to explore the performance of CIGS-based solar cells when some parameters are modified. Starting from a baseline model that rigorously reproduces the experimental results, the absorber properties such as defect density, band-gap and acceptor concentration have been investigated and the optimal values to obtain high-efficiency CIGS-base solar … …American Journal of Applied Sciences, Vol. 17, Issue 1 · 24 Dec 2020 · 6,952 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Laboratory Measured and PVTP Software DataOluwasanmi Samuel Teniola, Mercy Isaiah OkegbemiCubic Equations of State (EOS), including the Peng-Robinson (PR) and Soave-Redlich-Kwong (SRK) models, are foundational in petroleum engineering for modeling the thermodynamic behavior of hydrocarbon systems. These EOS are widely used to predict phase behavior and Pressure-Volume-Temperature (PVT) properties, which are crucial for reservoir simulation, production forecasting, and enhanced oil recovery. However, their predictive accuracy diminishes when applied to complex … …American Journal of Engineering and Applied Sciences, Vol. 18, Issue 1 · 20 Dec 2025 · 2,761 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Electric Vehicle Charging Demand Prediction Using a Novel SAE-DNN Neural Network Model for Probabilistic ForecastingNaga Raju Hari Manikyam, A. Thangam, J. Murugachandravel et al.The rapid growth and widespread adoption of Electric Vehicles (EVs) play a crucial role in the progress of intelligent transportation systems, resulting in a significant decrease in environmentally damaging greenhouse gas emissions. The increase in EV usage has made it crucial to develop charging infrastructure to keep up with the growing demand. Precisely predicting EV charging demand is crucial to … …Journal of Computer Science, Vol. 21, Issue 10 · 11 Dec 2025 · 3,536 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Study on Factors Influencing MBA Decision After Bachelor’s Using Hybrid Model Combining ANN With Principal Component AnalysisKittipol Wisaeng, Benchalak MuangmeesriThis study comprehensively examines the complex relationship between various individual characteristics and individuals’ expectations after obtaining a bachelor’s degree, particularly in determining whether to pursue a Master of Business Administration (MBA). Utilizing a well structured, hypothesized framework, we examine several key variables directly influencing this critical decision-making process. The examined variables include, but are not limited to, demographic information, academic … …Journal of Computer Science, Vol. 21, Issue 9 · 13 Oct 2025 · 2,242 accessesView PDFCite
Research ArticleOpen accessIn the abstractPetrophysical Properties Distribution Modelling of an Onshore Field, Niger Delta, NigeriaGodwin Omokenu EmujakporueThis research is based on the modelling of petrophysical parameters distribution of an onshore oil field in Niger Delta. The methodology involves the construction of 3-D grids that represent the reservoir geometry, accompany by property modeling where the 3-D grids were populated with petrophysical properties (porosity, water saturation, net to gross ratio, facies and permeability). The objective is to construct … …Current Research in Geoscience, Vol. 7, Issue 1 · 3 Apr 2017 · 14,182 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeterminants Factors of Agricultural Extension Services Performance and Impacts on Farmers' BehaviorMuh. Hatta Jamil, Amri Jahi, Muhammad Arsyad et al.Agricultural extension plays an important role in improving the quality of human resources, also it function as a learning process for the main actors so that farmer will be able to help and organize themselves in accessing market information, technology, capital and other resources. Problem that arise among stakeholders have been widely debated. Since then, determinant factor of Agricultural Extension … …American Journal of Agricultural and Biological Sciences, Vol. 12, Issue 1 · 2 Feb 2017 · 8,784 accessesView PDFCite
Research ArticleOpen accessIn the abstractSparse Representation Tracking with Auxiliary Adaptive Appearance ModelsJunqiu Wang, Chao Yang, Zhichao Gan, Yasushi YagiWe propose an effective tracking algorithm based on sparse representation and auxiliary adaptive appearance modeling. Based on a sparse representation, l1 minimization can follow targets in challenging situations. Unfortunately, tracking approaches based on l1 minimization are likely to be inefficient because they measure using dense coefficient distributions. The number of target candidates can be very large when the state space … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 1 · 14 Jan 2017 · 7,676 accessesView PDFCite