This paper focuses on the robustness problem of full implication triple implication inference method for fuzzy reasoning. First of all, based on strong regular implication, the weighted logic metric for measuring distance between two fuzzy sets is proposed. Besides, under this metric, some robustness results of the triple implication method are obtained, which demonstrates that the triple impli...

feature extraction is a main step in all perceptual image hashing schemes in which robust features will led to better results in perceptual robustness. simplicity, discriminative power, computational efficiency and robustness to illumination changes are counted as distinguished properties of local binary pattern features. in this paper, we investigate the use of local binary patterns for percep...

the efficiency and robustness of reliability methods are two important factors in first order reliability method (form). the conjugate choice control (ccc) and directional chaos control method (dcc) were developed to improve the robustness and efficiency of form formula using the stability transformation method. in this paper, the ccc and dcc methods are applied for reliability analysis of a co...

One of the most important parameters in evaluating a watermarking algorithm is its capacity. Generally, watermarking capacity is expressed by bits per pixel (bpp) unit measure. But this measure does not show what the side effects would be on image quality, watermark robustness and capacity. In this paper we propose a three dimensional measure named Capacity surface which shows the effects of ca...

Federated learning (FL) emerges as a popular distributed schema that learns model from set of participating users without sharing raw data. One major challenge FL comes with heterogeneous users, who may have distributionally different (or non-iid) data and varying computation resources. As federated would use the for prediction, they often demand trained to be robust against malicious attackers...

The robustness of complex networks was one the first phenomena studied after inception network science. However, many contemporary presentations this theory do not go beyond original papers. Here we revisit topic with aim providing a deep but didactic introduction. We pay attention to some complications in computation giant component sizes that are commonly ignored. Following an intuitive proce...