Use of neural networks (NNs) and diffraction pattern sampling by a ring-wedge detector leads to easier and faster algorithms for pattern recognition. An estimation was made of the optimum dimensions of a digital ring-wedge detector for sampling Fourier transform of random matrices through simulation of digital ring-wedge detector. The modulus squared Fourier transforms of facial images were sam...

Clustering problems arise in many different applications: machine learning data mining and knowledge discovery, data compression and vector quantization, pattern recognition and pattern classification. It is considered that the k-means algorithm is the best-known squared errorbased clustering algorithm, is very simple and can be easily implemented in solving many practical problems. This paper ...

Microstructure freeform surface is a type of freeform surfaces which is widely used in optical-mechanical-electronic components with increasing high precision requirement. This paper presents the characterization of structured freeform surfaces based on a pattern matching analysis method. The method employed rough matching by micro-structure features and then precise matching based on least squ...

The problem of dark energy(DE) is the greatest challenge for modern physics, and therefore this thesis is dedicated to the modeling establishment of DE. In the first chapter, qualitative and descriptive methods are employed to draw a rough map for the cosmos in its finely analyzed era. Then the dynamical equations of cosmology based on the general relativity are introduced, together with the me...

Jain et al. proposed two well-known algorithms for the Metric Facility Location Problem (MFLP), that achieve approximation ratios of 1.861 and 1.61. Mahdian et al. combined the latter algorithm with scaling and greedy augmentation techniques, obtaining a 1.52-approximation for the MFLP. We consider a generalization of the Squared Euclidean Facility Location Problem, when the distance function i...

Beamforming methods are used extensively in a variety of different areas, where one of their main goals is to estimate the source signal amplitude s(t) from the array observations y(t) = s(t)a + i(t) + e(t), t = 1,2,..., where a is the steering vector, i(t) is the interference, and e(t) is a Gaussian noise vector [1, 2]. To estimate s(t), we may use a beamformer with weights w so that s(t) = w*...

Magnitude Squared Coherence (MSC) is a signal processing tool that indicates how well two time domain signals match one with the other by tracking linear dependencies in their spectral decomposition. Spectral Coherence ANalysis (SCAN) was the first way to use it as a Side-Channel Attack (SCA). This paper introduces two ways of using the Magnitude Squared Coherence in side-channel analyses. The ...

An empirically successful mass formula derived long ago from hadronic string models is not explained by symmetries of the QCD lagrangian. Consider that M2 ρ − M2 π = M2 K∗ − M2 K to a few percent accuracy. We derive this and other equal spacing relations using chiral symmetry and a novel Z2 symmetry. We offer an interpretation of this Z2 symmetry as a manifestation of chiral anomalies in a gaug...

In this article, we explore the technical implications related to Web Squared paradigm. Representing an evolution of Web 2.0 that emphasizes the interaction between the cyber world and the real world, Web Squared contemplates the use of sensors to share huge amounts of data and foster the creation of new services. In this context, we analyze the different approaches and opportunities related to...