Decision-making processes, including the ones related to ill-structured problems, are of considerable significance in the area of construction projects. Computer-aided inference under such conditions requires the employment of specific methods and tools (non-algorithmic ones), the best recognized and successfully used in practice represented by expert systems. The knowledge indispensable for such systems to perform inference is most frequently acquired directly from experts (through a dialogue: a domain expert - a knowledge engineer) and from various source documents. Little is known, however, about the possibility of automating knowledge acquisition in this area and as a result, in practice it is scarcely ever used. lt has to be noted that in numerous areas of management more and more attention is paid to the issue of acquiring knowledge from available data. What is known and successfully employed in the practice of aiding the decision-making is the different methods and tools. The paper attempts to select methods for knowledge discovery in data and presents possible ways of representing the acquired knowledge as well as sample tools (including programming ones), allowing for the use of this knowledge in the area under consideration.

The article presents a brief exposition of alternative ways of creating virtual objects and the status of their existence inspired by the relevant views of Plato, Aristotle, Franz Brentano and Karl Popper as well as various conceptions of representation. I argue that the present state of research on the problem of “computer” virtuality shows that it is necessary to explore first the ontological issues of virtual objects. Only these issues will solve the mystery of the creation and existence of virtual objects. The consideration of these issues are suppressed by the fact that contemporary philosophy has removed both metaphysics and, with-it, ontology. That is why, and for reasons for reasons of substantive accuracy, I show how traditional ontological and ontologically inspiring approaches are—when modified— promising candidates for exploring the nature of virtual objects, first of all, problems of their existence and creation.

Development of a reliable numerical model capturing major physical mechanisms controlling explosive welding and considering properties of all process components i.e. base plate and flyer plate is the goal of the paper. To properly replicate materials behavior under these severe conditions a meshfree approach, namely Smooth Particle Hydrodynamics (SPH), was used to discretize the computational domain. The model is based on the Mie-Gruneisen shock equation of state applied to the Ti/Cu system as a case study. Examples of results in the form of velocity, equivalent stress, equivalent strain, and pressure fields are presented within the paper.

Single Image Super-Resolution (SISR) through sparse representation has received much attention in the past decade due to significant development in sparse coding algorithms. However, recovering high-frequency textures is a major bottleneck of existing SISR algorithms. Considering this, dictionary learning approaches are to be utilized to extract high-frequency textures which improve SISR performance significantly. In this paper, we have proposed the SISR algorithm through sparse representation which involves learning of Low Resolution (LR) and High Resolution (HR) dictionaries simultaneously from the training set. The idea of training coupled dictionaries preserves correlation between HR and LR patches to enhance the Super-resolved image. To demonstrate the effectiveness of the proposed algorithm, a visual comparison is made with popular SISR algorithms and also quantified through quality metrics. The proposed algorithm outperforms compared to existing SISR algorithms qualitatively and quantitatively as shown in experimental results. Furthermore, the performance of our algorithm is remarkable for a smaller training set which involves lesser computational complexity. Therefore, the proposed approach is proven to be superior based upon visual comparisons and quality metrics and have noticeable results at reduced computational complexity.

This paper presents a video encoding method in which noise is encoded using a novel parametric model representing spectral envelope and spatial distribution of energy. The proposed method has been experimentally assessed using video test sequences in a practical setup consisting of a simple, real-time noise reduction technique and High Efficiency Video Codec (HEVC). The attained results show that the use of the proposed parametric modelling of noise can improve the subjective quality of reconstructed video by approximately 1.8 Mean Opinion Scope (MOS) points (in 11-point scale) related to the classical video coding. Moreover, the present work confirms results attained in the previous works that the usage of even sole noise reduction prior to the encoding provides quality increase.

In this article attention is paid to improving the quality of text document classification. The common techniques of analysis of text documents used in classification are shown and the weakness of these methods are stressed. Discussed here is the integration of quantitative and qualitative methods, which is increasing the quality of classification. In the proposed approach the expanded terms, obtained by using information patterns are used in the Latent Semantic Analysis. Finally empirical research is presented and based upon the quality measures of the text document classification, the effectiveness of the proposed approach is proved.

A navigation complex of an unmanned flight vehicle of small class is considered. Increasing the accuracy of navigation definitions is done with the help of a nonlinear Kalman filter in the implementation of the algorithm on board an aircraft in the face of severe limitations on the performance of the special calculator. The accuracy of the assessment depends on the available reliable information on the model of the process under study, which has a high degree of uncertainty. To carry out high-precision correction of the navigation complex, an adaptive non-linear Kalman filter with parametric identification was developed. The model of errors of the inertial navigation system is considered in the navigation complex, which is used in the algorithmic support. The procedure for identifying the parameters of a non-linear model represented by the SDC method in a scalar form is used. The developed adaptive non-linear Kalman filter is compact and easy to implement on board an aircraft.

Investigation of influence of TiN thin film morphology on deformation inhomogeneities is an overall subject of the research. Numerical modelling approach that was selected for the study is based on the digital material representation concept, which gives an opportunity to directly replicate columnar microstructure morphology of an investigated thin film. Particular attention in this paper is put on the discussion of the influence of cellular automata neighbourhood on thin-film digital morphologies and their further deformation behaviour. Additionally, an evaluation of representativeness aspects of the digital models, in particular, the analysis of the influence of a number of columns, their dimensions and variations in their properties on the material behaviour during compression tests is also presented. The non-periodic boundary conditions are assumed during the investigation. Obtained data in the form of equivalent stress distributions as well as homogenized stress-strain curves from analyzed case studies are presented and discussed within the paper.

The Paschal Mystery of Christ made present in the sacramental liturgy is a model of spiritual growth of Christians on the way of purification, illumination, and unificati-on. The transition (Passover) of Christ from death to life is a model of a Christian way. Christians live in connection with the paschal mystery every day when they strive to do what is more perfect and when they express the newness of life in the performance of good deeds. The participation in the transition of Christ through death to a new life consists in abandoning the way of life of a sinful man and striving for deeds of a man renewed in the mystery of Christ’s death and His glorious resurrection. Faith received at baptism enables a man to participate in the paschal mystery of Christ and offers a participation in the resurrection of the Son of God. The union with Christ and remai-ning in Him is the participation in the sacrifice of the Savior according to the paschal theology. The Passover is an event that brightens with its splendor not only the life of the individual Christian, but also the whole history of mankind. The final fulfillment in Christ is the purpose of the whole universe.