University of Architecture, Civil Engineering and Geodesy

About: University of Architecture, Civil Engineering and Geodesy is a education organization based out in Sofia, Bulgaria. It is known for research contribution in the topics: Finite element method & Beam (structure). The organization has 3808 authors who have published 3822 publications receiving 30736 citations. The organization is also known as: Sofia Polytechnic.

Face reconstruction from skull based on Least Squares Canonical Dependency Analysis

Abstract: Face reconstruction from skull, called as Craniofacial Reconstruction (CFR), is a useful technique to identify an unknown decomposed corpse if no other evidence is available. Traditional manual methods greatly depend on the experience of sculptors, so that the results are highly subjective, and the whole process is time consuming. Recent years, 3D data acquiring technology becomes consummate, and machine learning techniques raise a tidal wave in academia and industry. Researchers turn to finding computer aided solutions, especially the supervised machine learning technique, for craniofacial reconstruction. Least Squares Canonical Dependency Analysis (LSCDA) is a dimension reduction method, which aims at finding subspaces where the dependency measured by Least Squares Mutual Information (LSMI) of two variables reaches maximum. This paper proposes a new method for craniofacial reconstruction based on LSCDA. First, two statistical shape models for skull and skin are constructed respectively by Principle Component Analysis (PCA). Then the subspaces of maximum dependency of face and skull are extracted in the shape parameter spaces via LSCDA. Finally, according to such dependency, the relationship model between skulls and skins is established by Least Squares Support Vector Regression (LSSVR), which is used to reconstruct the facial appearances for an unknown skull. Experiment results show that the proposed method is effective.

Approximation of Bounded Continuous Functions by Linear Combinations of Phillips Operators

Abstract: Abstract We study the approximation properties of linear combinations of the so-called Phillips operators, which can be considered as genuine Szász-Mirakjan-Durrmeyer operators. As main result, we prove a direct estimate for the rate of approximation of bounded continuous functions f E C[0,x), measured in C|\\[0,x)-norm and thus generalizing the results, proved earlier by Gupta, Agrawal, and Gairola in [3]. Our estimates rely on the recent results, obtained in the joint works of M. Heilmann and the author-[10, 11]

Derivations and local derivations on strongly double triangle subspace lattice algebras

Abstract: Let be a strongly double triangle subspace lattice. It is proved that a derivation δ from into is quasi-spatial. It is also shown that if Δ is derivable at zero, i.e. if Δ(A)B + AΔ(B) = 0 for all A and B in with AB = 0, then Δ(A) = δ(A) + λA for all where δ is a derivation and λ is a scalar. It is also shown that a local derivation from into is a derivation.

Relation between internet and social media to support sales in business

Abstract: The purpose of this scientific paper is to make the Internet as an online shop business media that is effective and efficient in order to help businessmen to improve the sale. The method used is a survey that is a research technique that aims to obtain valid data by giving a clear limit on the data to a particular object. Survey conducted to collect data and information from young people because most of the products are created for young communities. This method used to understand the needs of customers so that companies can optimize the sale of goods. The results of this study indicate that social media facilitate the seller to meet the targets specified because social media help the seller to promote their product easily.