The image content detectability and image structure preservation are closely related concepts with undeniable role in image quality assessment. However, the most attention of image quality studies has been paid to image structure evaluation, few of them focused on image content detectability. Examining the image structure was firstly introduced and assessed in Structural SIMilarity (SSIM) measu...

UNLABELLED We have measured complete concentration-detection (i.e., psychometric or detectability) functions to study the olfactory and ocular/nasal chemesthetic (a term that includes sensory irritation) impact of VOCs presented singly and in various binary mixtures. Such functions provide considerably more information than that provided by measuring only a "threshold". The outcome for single V...

The present paper describes a ball bearing model for transmission monitoring and adapted to non-stationary operating conditions. considers axial forces in as well centrifugal applied on rolling elements making it suitable high speed axially loaded systems. A spall is also introduced study its detectability. based an “angular” approach which preserves the complete main rotation of shaft not limi...

Nondestructive evaluation of the gas pipeline system is most commonly performed using magnetic flux leakage (MF L) techniques. A major segment of this network employs seamless pipes. The data obtained from MFL inspection of seamless pipes is contaminated by various sources of noise; including seamless pipe noise due to material properties of the pipe, lift -off varia tion of MFL sensor due to m...

This paper introduces T-detectability, which extends detectability to timed discrete event systems within the context of communication networks. We propose network T-detectability address challenges posed by observation delays and losses in environments. Our approach involves construction an augmented automaton model extended calculate state estimates. present a method for checking T-detectabil...

A promising new alternative to efficiently solve the Von Neumann bottleneck problem is adopt In-Memory Computing (IMC) architectures. Beyond arithmetic operations, IMC architectures aim at integrating additional logic operators directly in memory array or/and periphery order provide close computing abilities. However, they are subject manufacturing defects same way as conventional memories. In ...

The fault exposure ratio K represents the average detectability of faults in a software. Knowing the value of K for a software system allows the use of the exponential model, and probably also the logarithmic model, even before software testing phase begins. It can also be used to enhance the software reliability growth models (SRGM) at the early stage of testing when the software failure data ...

It has been shown in recent years that the stochastic block model is sometimes undetectable in the sparse limit, i.e., that no algorithm can identify a partition correlated with the partition used to generate an instance, if the instance is sparse enough and infinitely large. In this contribution, we treat the finite case explicitly, using arguments drawn from information theory and statistics....

Models of species distributions are increasingly being used to address a variety of problems in conservation biology. In many applications, perfect or constant detectability of species, given presence, is assumed. While this problem has been acknowledged and addressed through the development of occupancy models, we still know little regarding whether addressing the potential for imperfect detec...