Abstract: In this study we introduce a new class of a non-associative algebraic structure namely intra-regular Abel Grassmann's groupoid (AG-groupoid in short). We apply generalized fuzzy ideal theory to this class and discuss its related properties. We introduce ) , ( k q ∨ ∈ ∈ -fuzzy semiprime ideals in AG-groupoids and characterize it. Specifically we have characterized intra-regular AG-grou...

Computer aided celiac disease diagnosis is based on endoscopic images showing the villi structure in regions of the small bowel. Especially unavoidably variable illuminations and varying viewing angles of the individual villi are a source for high intra-class as well as intraimage variations in the image domain. We clarify that common texture descriptors are unable to compensate such a high deg...

In this paper, we consider the problem of determining a cyclic (or loop) scheduler that allocates slots to flows as periodically as possible. We use the second moment of the inter-allocation distance for each flow as its periodicity metric. We establish the optimality of a Weighted-Round Robin with spreading (WRR-sp2) scheduler for a two-flow scenario. We consider a class-based scheduling scena...

In this paper, we consider the problem of determining a cyclic (or loop) scheduler that allocates slots to flows as periodically as possible. We use the second moment of the inter-allocation distance for each flow as its periodicity metric. We establish the optimality of a Weighted-Round Robin with spreading (WRR-sp2) scheduler for a two-flow scenario. We consider a class-based scheduling scena...

PURPOSE The aim of this study is to determine the reliability of corneal thickness measurements derived from SOCT Copernicus HR (Fourier domain OCT). METHODS Thirty healthy eyes of 30 subjects were evaluated. One eye of each patient was chosen randomly. Images were obtained of the central (up to 2.0 mm from the corneal apex) and paracentral (2.0 to 4.0 mm) cornea. We assessed corneal thicknes...

Unsupervised domain adaptation (UDA) transfers knowledge from a label-rich source to different but related fully-unlabeled target domain. To address the problem of shift, more and UDA methods adopt pseudo labels samples improve generalization ability on However, inaccurate may yield suboptimal performance with error accumulation during optimization process. Moreover, once are generated, how rem...

Deep metric learning aims to learn an embedding space, where semantically similar samples are close together and dissimilar ones repelled against. To explore more hard informative training signals for augmentation generalization, recent methods focus on generating synthetic boost losses. However, these just use the deterministic class-independent generations (e.g., simple linear interpolation),...

New network applications which involve transmission of continuous media data, such as audio and video conferencing, introduce immense challenges for the design of packet-switching internetworks. Existing ow and congestion control mechanisms have been shown to be ineeec-tive for supporting the real-time requirements of continuous media data transfers. We propose a novel bandwidth regulation mech...