In several applications, such as scene interpretation and reconstruction, precise depth measurement from images is a significant challenge. Current estimate techniques frequently provide fuzzy, low-resolution estimates. With the use of transfer learning, this research executes convolutional neural network for generating high-resolution map single RGB image. typical encoder-decoder architecture,...

Pulse-width modulated (PWM) adjustable frequency drives (AFDs) are extensively used in industries for control of induction motors. It has led to significant advantages in terms of the performance, size, and efficiency but the output voltage waveform no longer remains sinusoidal. Hence, overshoots, high rate of rise, harmonics and transients are observed in the voltage wave. They increase voltag...

Some examples of absurd uniformly minimum variance unbiased estimators are discussed. Two reasons, argued in the literature, for having such estimators are lack of enough information in the available data and property of unbiasedness. In this paper, accepting both of these views, we show that an appropriate choice of loss function using a general concept of unbiasedness leads to risk unb...

The adaptive coherence estimator (ACE) estimates the squared cosine of the angle between a known target vector and a sample vector in a transformed coordinate space. The space is transformed according to an estimation of the background statistics, which directly effects the performance of the statistic as a target detector. In this paper, the ACE detection statistic is used to detect buried exp...

While the common kinds of uncertainties in databases e g null values disjunction corrupt missing data domain mis match etc have been extensively studied a relatively unexplored form of uncertainty in databases called inaccurate data demands due attention Inaccurate data results when data are contributed by various information agents with some known reliability Though the data itself is total or...

Real-time pose estimation systems are fundamentally difficult to evaluate. Pose estimation performance is a function of the object geometry, environmental conditions, line of sight, sensor characteristics, algorithm characteristics, and computational platform. This paper presents lessons learned from Neptec’s two operational space systems for real-time dynamic pose estimation: the Space Vision ...

Video surveillance systems are becoming increasingly important both in private and public environments to monitor activity. In this context, this paper presents a novel block-based approach to detect abnormal situations by analyzing the pixel-wise motion context, as an alternative for the conventional object-based approach. We proceed directly with event characterization at the pixel level, bas...

The real options technique has emerged as an evaluation tool for investment under uncertainty. It explicitly recognizes future decisions, and the exercise strategy is based on the optimal decisions in future periods. This paper employs the optimal stopping policy derived from real options approach to analyze and evaluate genetic algorithms, specifically for the new branches namely Estimation of...