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1.
Cloud Computing Deployment and Management
Aleš Zamuda, other educational material

Abstract: The subject Cloud Computing Deployment and Management is included in the second-cycle Bologna Study Programme Computer Science and Information Technologies as a full-time study unit. This document presents study material for computer exercises in this subject. After an introduction, then individual tasks with solutions to the computer exercises in the subsequent chapters are provided. This is followed by a list of archived files containing the computer format of the provided solutions.
Keywords: cloud computing, virtualization, parallel programming, distributed programming, virtual computing environments, high-performance computing
Published: 11.09.2020; Views: 300; Downloads: 17
URL Link to full text; This document is also a collection of 1 document!

2.
Prepoznavanje položaja in orientacije objekta s strojnim vidom vodenega robotskega sistema
Sebastjan Spital, 2018, undergraduate thesis

Abstract: V diplomskem delu je predstavljeno zajemanje in obdelava slike s spletno kamero Logitech v programu LabView z dodanimi moduli. LabView komunicira s krmilnikom robota Mitshubishi, kateri prejme informacijo o koordinatah in prestavi objekt.
Keywords: Strojni vid, zajemanje slike, obdelava slike, komunikacija Ethernet, LabView, kamera Logitech, robot Mitshubishi, Ciros Programming
Published: 21.01.2019; Views: 851; Downloads: 85
.pdf Full text (2,00 MB)

3.
A practical method for the optimal design of continuous footing using ant-colony optimization
Boonchai Ukritchon, Suraparb Keawsawasvong, 2016, original scientific article

Abstract: The objective of this paper is to present a practical method for the optimal design of a continuous footing subjected to vertical and horizontal loads. The design problem of finding the optimal size of footing as well as the minimum steel reinforcement is formulated in a nonlinear minimization form. The continuous footing is subjected to the vertical and horizontal loads acting on the top of the column. There are four design variables in the design problem, i.e., the width of the footing, the thickness of the footing, the soil-embedment depth, and the amount of steel reinforcement. The required geotechnical constraints include the bearing capacity, overturning, as well as global sliding and local sliding at the footing corners. Short-term stability and long-term stability are considered simultaneously in the same formulation. The structural constraints are enforced to control the shear force and bending moment within the section resistance. The formulation of the problem’s constraints leads to the nonlinear programming, whose objective function is to minimize the total cost of the footing material, including the concrete and steel reinforcement. The optimal solution is solved using the ant-colony optimization algorithm MIDACO. The proposed optimization method is demonstrated through the actual design of the footing for supporting a large machine moving on rails.
Keywords: optimal design, footing, stability, nonlinear programming, ant-colony optimization
Published: 18.06.2018; Views: 522; Downloads: 38
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4.
New computational models for better predictions of the soil-compression index
Ahmet Demir, 2015, original scientific article

Abstract: The compression index is one of the important soil parameters that are essential for geotechnical designs. Because laboratory and in-situ tests for determining the compression index (Cc) value are laborious, time consuming and costly, empirical formulas based on soil parameters are commonly used. Over the years a number of empirical formulas have been proposed to relate the compressibility to other soil parameters, such as the natural water content, the liquid limit, the plasticity index, the specific gravity. These empirical formulas provide good results for a specific test set, but cannot accurately or reliably predict the compression index from various test sets. The other disadvantage is that they tend to use a single parameter to estimate the compression index (Cc), even though Cc exhibits spatial characteristics depending on several soil parameters. This study presents the potential for Genetic Expression Programming (GEP) and the Adaptive Neuro-Fuzzy (ANFIS) computing paradigm to predict the compression index from soil parameters such as the natural water content, the liquid limit, the plastic index, the specific gravity and the void ratio. A total of 299 data sets collected from the literature were used to develop the models. The performance of the models was comprehensively evaluated using several statistical verification tools. The predicted results showed that the GEP and ANFIS models provided fairly promising approaches to the prediction of the compression index of soils and could provide a better performance than the empirical formulas.
Keywords: compression index, statistical analysis, genetic expression programming, adaptive neuro-fuzzy, empirical equations
Published: 14.06.2018; Views: 582; Downloads: 43
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5.
The anchored pile wall optimization using NLP approach
Helena Vrecl-Kojc, 2005, original scientific article

Abstract: The type of a retaining structure as well as the structure configuration mainly depends on geological conditions. If geological, urban and other data allow an alternative, the costs should also be considered as an important factor. In geotechnical practise, pile walls are especially used in excavations, in the erection of traffic facilities and in the sanitation of landslides. This paper is aimed at presenting economical differences between cantilever and anchoring pile walls and the impact of different parameters on costs. The optimization method, which uses mathematical programming, gives an optimal solution to geometry, self-manufacturing costs, and other characteristics of the structure in a uniform optimization process. This paper presents the optimization process using the nonlinear programming (NLP) approach for the anchored pile wall. The application presented only serves to confirm the effectiveness of the proposed optimization method. Therefore, the retaining structure is situated in homogeneous non-cohesive soil at three different soil friction angles of 35°, 30° and 25°. The generalized analytical method, the USA method, which was first introduced by Bowles [3], isused in the application. The analysis of the results shows the impact of parameters, the main controlling factors, configuration geometry and savings. The optimal results allowed from 18 up to 47 per cent savings compared to the cantilever pile wall depending on ground and structure input data and the excavation depth.
Keywords: civil engineering, optimum design, retaining structures, USA analytical method, nonlinear programming
Published: 16.05.2018; Views: 550; Downloads: 39
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6.
Organization in finance prepared by stohastic differential equations with additive and nonlinear models and continuous optimization
Pakize Taylan, Gerhard-Wilhelm Weber, 2008, original scientific article

Abstract: A central element in organization of financal means by a person, a company or societal group consists in the constitution, analysis and optimization of portfolios. This requests the time-depending modeling of processes. Likewise many processes in nature, technology and economy, financial processes suffer from stochastic fluctuations. Therefore, we consider stochastic differential equations (Kloeden, Platen and Schurz, 1994) since in reality, especially, in the financial sector, many processes are affected with noise. As a drawback, these equations are hard to represent by a computer and hard to resolve. In our paper, we express them in simplified manner of approximation by both a discretization and additive models based on splines. Our parameter estimation refers to the linearly involved spline coefficients as prepared in (Taylan and Weber, 2007) and the partially nonlinearly involved probabilistic parameters. We construct a penalized residual sum of square for this model and face occuring nonlinearities by Gauss-Newton's and Levenberg-Marquardt's method on determining the iteration step. We also investigate when the related minimization program can be written as a Tikhonov regularization problem (sometimes called ridge regression), and we treat it using continuous optimization techniques. In particular, we prepare access to the elegant framework of conic quadratic programming. These convex optimation problems are very well-structured, herewith resembling linear programs and, hence, permitting the use of interior point methods (Nesterov and Nemirovskii, 1993).
Keywords: stochastic differential equations, regression, statistical learning, parameter estimation, splines, Gauss-Newton method, Levenberg-Marquardt's method, smoothing, stability, penalty methods, Tikhonov regularization, continuous optimization, conic quadratic programming
Published: 10.01.2018; Views: 549; Downloads: 59
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7.
Career planning as a building block of personal excellence
Marija Turnšek Mikačić, Marija Ovsenik, 2013, original scientific article

Abstract: The narrow field of research here is the development of a model for the building of personal excellence using a career plan that is empirically tested and confirmed, both qualitatively and quantitatively. The purpose of this study relates to the writing of a career plan, for the determination of the factors that influence the feeling of personal excellence of participants in career planning education, in relation to other participants who are not. The qualitative analysis consists of basic experience data that was collected during the education process, through 20 essays, and the paradigmatic model, with the final theory defined, and based on this, a questionnaire was created. The quantitative analysis involved a total of 547 participants. For the statistical analyses of the data, bivariate analysis was used to assess the linear connection of individual pairs of variables. The search for differences between the two groups used t-tests for independent samples. Factor analysis was used to determine whether the relations among the examined variables can be explained with a smaller number of indirectly examined variables. The final model consists of three elements: (1) relation with career; (2) self-esteem; and (3) perception of personal excellence. Management can use the results of this study for management decisions. The increased success of every individual organisation benefits the whole of society. This study represents an original contribution and offers a new approach that is based on the paradigm of the understanding of a career and the importance of its planning as a motive for excellence.
Keywords: career planning, personal excellence, career break, qualitative analyses, quantitative analyses, neurolinguistic programming
Published: 29.11.2017; Views: 679; Downloads: 265
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8.
The effects of career planning education
Marija Turnšek Mikačić, 2015, original scientific article

Abstract: Research Question (RQ): We employed a qualitative approach to study the effects of career planning education, perceiving it as an effective way to gain a deeper understanding of introductorily-organised career education. Purpose: We researched important areas to formulate a questionnaire for quantitative analysis. Method: We used a qualitative research approach in order to develop a theoretical framework for the exploration, interpretation and identification of the impact of education on career plans, on the changing attitudes towards careers, the raising of self-esteem and perception of personal growth. We used Neuro-linguistic programming as a tool to develop and achieve personal excellence within the career planning. Results: We constructed a paradigmatic model and developed the final theory. By means of qualitative analysis, we identified the elements of design criteria for the construction of the questionnaire; we measured the effects of education on career plans. Organization: The findings of the research will prove useful in personal management and career management in the process of planning and organizing the promotion of individuals within the organizations in accordance with the needs of those organizations. Originality: A career plan as a building block of personal growth, based on the model of career education with the in-built elements and tools of NLP, has been confirmed by the most recent studies in neuroscience. This represents a novelty, and, therefore, this study offers a genuine contribution, and is an indicator of contemporary knowledge, based on the results of the research. Limitations/Future Research: The model of career education and the results of this study open new directions for further research of the influence of career planning on the organisation of companies and their success, which is the phase of the study which was not carried out.
Keywords: career planning, qualitative analysis, neuro-linguistic programming, personal excellence
Published: 02.08.2017; Views: 614; Downloads: 71
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9.
Probabilistic behaviour of joints on joint forces in mechanisms
Boštjan Harl, Nenad Gubeljak, Marko Kegl, 2015, original scientific article

Abstract: This paper discusses the influence of the clearance in joints on the joint reaction forces in mechanisms. By using mathematical programming, the optimal parameters of kinematic chains can be efficiently obtained by using the deterministic approach. However, the situation becomes more sophisticated if random effects of tolerances of the arm lengths and the random pin positions have to be considered. In this work the influence of clearances on joint forces is calculated by using the Taylor approximation and the Monte Carlo method. The implementation of the model is illustrated with two examples. The first example considers a closed loop chain, representing a four-bar mechanism being an actual part of a hydraulic support, employed in mining industry. The second example considers joint reaction forces of car wiper mechanism.
Keywords: joint forces, kinematic chain, mathematical programming, stochastic model
Published: 12.07.2017; Views: 448; Downloads: 346
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10.
Mixed-integer nonlinear programming based optimal time scheduling of construction projects under nonconvex costs
Rok Cajzek, Uroš Klanšek, 2016, original scientific article

Abstract: Optimal project scheduling under nonconvex time-cost relations represents a challenging problem in construction management. The nonconvex time-cost relations may appear in a construction project when several different duration options are available for its activities due to alternative technological processes enabled for their realization or wide accessibility of production resources. The source of nonconvexity of the project scheduling optimization problem can also be the project penalty- or bonus-duration relations arranged within the construction contract. The aim of this paper is to present the mixed-integer nonlinear programming (MINLP) based optimal time scheduling of construction projects under nonconvex costs. For this purpose, the MINLP model was developed and applied. A numerical example from literature and an example of construction project time-cost trade-off analysis under practical nonconvex penalty function are given in the paper to demonstrate advantages of MINLP optimization. The example from literature first presented the capability of the MINLP approach to obtain the optimal solution for difficult, highly combinatorial nonconvex discrete project scheduling problem. Thereupon, the following example revealed that the optimal project time-cost curve may take very nonuniform shape on account of discrete nature of activity direct cost options and nonconvex relation between project duration and total cost. In this way, the presented study intends to provide practitioners with new information from the field of optimization techniques for project scheduling as well as an alternative view on performance of total cost when project duration is changed.
Keywords: extreme environments, construction management, discrete optimization, mixed-integer nonlinear programming, nonconvex costs, time scheduling
Published: 12.07.2017; Views: 696; Downloads: 312
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