Side-channel attacks (SCAs) have been a realistic serious threat to crypto devices. Therefore, evaluating the SCAs resilience of a crypto device is important and necessary. The SCAs-secure evaluation criteria includes the information theoretic metric and the security metric. The former metric, i.e. mutual information (MI), measures the leakage amount of a crypto device. However, because the rea...

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Abstract Let $(\mathcal{X}, d, \mu )$ ( X , d μ ) be a non-homogeneous metric measure space, which satisfies the geometrically doubling condition and upper condition. In this paper, authors prove boundedness in $L^{p} (\mu <m...

in this paper, we propose a new definition of intuitionistic fuzzyquasi-metric and pseudo-metric spaces based on intuitionistic fuzzy points. weprove some properties of intuitionistic fuzzy quasi- metric and pseudo-metricspaces, and show that every intuitionistic fuzzy pseudo-metric space is intuitionisticfuzzy regular and intuitionistic fuzzy completely normal and henceintuitionistic fuzzy nor...

The aim of the present work is to use a metric intersection formula estimate subdifferential marginal function in convex setting. This includes many interesting situations parametric programming, including polyhedral one. It expressed terms objective and constrained multivalued mapping which govern program.

The primordial magnetic fields (PMFs) produced in the early universe are expected to be origin of large-scale cosmic fields. PMFs considered leave a footprint on microwave background (CMB) anisotropies due both electromagnetic force and gravitational interaction. In this paper, we investigate how affect CMB smaller scales than mean-free-path photons. We solve baryon Euler equation with Lorentz ...

Modern electronic imaging systems include optics, sensors, sampling, noise, processing, compression, transmission and display elements, and are viewed by the human eye. Many of these elements cannot be assessed by traditional imaging system metrics such as the MTF. More complex metrics such as NVTherm do address these elements, but do so largely through parametric adjustment of an MTF-like metr...

This paper proposes a statistical verification framework using Gaussian processes (GPs) for simulationbased verification of stochastic nonlinear systems with parametric uncertainties. Given a small number of stochastic simulations, the proposed framework constructs a GP regression model and predicts the system’s performance over the entire set of possible uncertainties. Included in the framewor...

The performance evaluation of biometric systems is a crucial step when designing and evaluating such systems. The evaluation process uses the Equal Error Rate (EER) metric proposed by the International Organization for Standardization (ISO/IEC). The EER metric is a powerful metric which allows easily comparing and evaluating biometric systems. However, the computation time of the EER is, most o...

The distance metric is a key component in RRT-based motion planning that deeply affects coverage of the state space, path quality and planning time. With the goal to speed up planning time, we introduce a learning approach to compute the distance metric for RRT-based planners. By exploiting a novel extend function which solves the two-point boundary value problem for wheeled mobile robots, we t...