This paper presents a new detectability concept for discretetime Markov jump linear systems with finite Markov state, which generalizes the MS-detectability concept found in the literature. The new sense of detectability can similarly assure that the solution of the coupled algebraic Riccati equation associated to the quadratic control problem is a stabilizing solution. In addition, the paper i...

Detection of animals during visual surveys is rarely perfect or constant, and failure to account for imperfect detectability affects the accuracy of abundance estimates. Freshwater cetaceans are among the most threatened group of mammals, and visual surveys are a commonly employed method for estimating population size despite concerns over imperfect and unquantified detectability. We used a com...

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...

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...

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...

Detectability of contours may be affected by long-range interactions between neurons in early stages of visual cortex. Specifically, neurons with receptive fields arrayed along the length of a contour may facilitate each other in a position- and orientation-dependent manner. Accordingly, the overall geometry of a contour should significantly influence both the strength of these long-range inter...

Fault detection and diagnosis for dynamic processes is an intensively investigated area. However, the problem of determining whether or not system faults can be successfully detected based on the output measurements for a given dynamic process remains an open research topic. An intrinsic definition of fault detectability in multivariate dynamic processes is proposed in this paper. It defines th...