A precise and stable machine learning algorithm: eigenvalue classification (EigenClass)

Neural Computing and Applications - In this study, a precise and efficient eigenvalue-based machine learning algorithm, particularly denoted as Eigenvalue Classification (EigenClass) algorithm, has...     

Imputing sentiment intensity for SaaS service quality aspects using T-nearest neighbors with correlation-weighted Euclidean distance

Knowledge and Information Systems - The rapid, increasing adoption of businesses to deliver their services in Software as a Service (SaaS) products in the marketplace presents selection challenges...     

Can blindness to response-compatible stimuli be observed in the absence of a response?

Blindness to response-compatible stimuli is the finding that targets are identified less accurately when presented during the planning or execution of a congruent response (e.g., right arrow presented during a right keypress) versus an incongruent response (e.g., right arrow presented during a left keypress). Accounts of this effect suggest the planning and execution of a response are critical to its observation. Five experiments investigated whether a blindness effect would be observed in the absence of a planned response. Results suggest that a planned response is not necessary to observe a content-specific blindness effect and that the blindness effect may actually comprise both an action-related component and a symbolic component that is distinct from the action-planning system. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Probabilistic approach for estimating heat fluid exit temperature correlation in a linear parabolic trough solar collector

This paper demonstrates a probabilistic modelling approach for establishing the correlation of Heat transfer fluid (HTF) temperature, obtained at the exit of a linear Parabolic trough collector (PTC). For the purpose, an analytical heat transfer (Physical) model was developed and validated by comparing its result with the published values. The correlation was then fitted on a dataset obtained by simulating this physical model over the sampled values acquired by applying the Latin hypercube sampling (LHS) technique over a realistic distribution of factors. The preliminary correlation was based on twenty-six natural, design and operational factors, including normal solar radiation, HTF flow rate, ambient conditions and different attributes associated with geometry and material of the concentrating reflector, receiver, sleeve and selective coating. The coefficient of determination (R²) for correlation was 98.4 %. After analyzing the significance of each factor, a simplified correlation was proposed with only nine factors. The applications associated with this work include the design and simulation of direct and indirect steam generation systems, solar-assisted power generation, space heating, cooling, refrigeration and desalination.

     

Stress intensity factor equations for mixed-mode surface and corner cracks in finite-thickness plates subjected to tension loads

Normalized mixed-mode stress intensity factor equations are presented for deflected and inclined circular surface and corner cracks in finite-thickness plates under uniform remote tensile loading. The equations are obtained by performing non-linear regression analyses on the data from previous numerical solutions based on three-dimensional enriched finite elements. In the equations, the effects of deflection/inclination angles and plate thickness on mixed-mode stress intensity factors are included. The comparisons of normalized stress intensity factors from the equations with those of the finite element analyses show good agreement. Thus, it is concluded that, as a reasonable approximation, the presented equations can be used to assess stress intensity factors and fracture conditions of mixed-mode circular surface and corner cracks in finite-thickness plates.     

Learning Stable Robust Adaptive NARMA Controller for UAV and Its Application to Twin Rotor MIMO Systems

Neural Processing Letters - This study presents a nonlinear auto-regressive moving average (NARMA) based online learning controller algorithm providing adaptability, robustness and the closed loop...     

An anaglyph 2D-3D stereoscopic video visualization approach

Multimedia Tools and Applications - In this paper, we propose a simple anaglyph 3D stereo generation algorithm from 2D video sequence with a monocular camera. In our novel approach, we employ...     

Comparative analysis of segmentation techniques based on chest X-ray images

Multimedia Tools and Applications - The image segmentation is the basic step in the image processing involved in the processing of medical images. Over the past two decades, medical image...     

A novel approach for scene text extraction from synthesized hazy natural images

Pattern Analysis and Applications - The most important intricacy when processing natural scene text images is the existence of fog, smoke or haze. These intrusion elements decrease the contrast and...     

Real Time Image Encoding for Fast IOT (Internet of Things) Based Video Vigilance System

Wireless Personal Communications - In recent times, technology has played an important role in almost every field as it advances. Law and order situation in the third world countries are...