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EN
Modern computer simulation tools are based on different mathematical models. The simplest of these models are rank as rigid computational methods like statistics or probability mathematics. To flexible, more complex computational methods we can classify artificial neural systems, genetic algorithm or fuzzy sets. Without doubt usage of this second group of models are becoming more universal. They are classified as methods of artificial intelligence. With regard to their mechanisms of teaching, neural systems are used for the purpose of optimization. They allow to describe different non-linear structure of the data and to classify them in the appropriate way. Statistic methods do not show optimum results in the non-linear spaces and spaces that are dimensionally complex. Agent methods that are used in the intelligent systems make possible to precisely simulate reality. Reality with huge amount of objects that are on the different level of abstraction. They are used for example in rout planning by means of GPS system, in the planning different logistic processes, in the economics, in the forecasting of meteorological phenomenons etc. Common feature of all forecasting methods are mistakes connected with discrepancy of simulation results and real value. In the literature there is no researches in mentioned discipline. Results of optimization presented in the article are obtained using agent systems. These results refer to finding the shortest way to the defined extreme by studying level of route complexity (multiple, amount of extremes), time of studying, mistakes of defining appropriate extreme. To authenticate results in case of different tools to simulation, researches have been conducted with five different simulation computer programs.
EN
The article undertakes a polemological reflection which is not limited to historiography and philosophy of history, being an attempt at reaching multidimensional and non-standard vision of war. It may seem that studying a computer simulation of people’s lives during the war conflict is far from what a literary scholar should be doing. Nevertheless, This War of Mine redefines the notion of computer games and of classically defined agon. The interactive production of Warsaw 11 bit studios becomes a pretext for studying the ways in which new media refer to literature. The unique experience of war depicted by This War of Mine draws from literary testimonies but at the same time it captures more than literature could ever do. Is the “word in play” the missing link of Bachtin’s equation?
EN
The aim of this paper was to present the AGMEMOD[1] model as an example of partial equilibrium model applied in the field of agricultural economics and its capacity to evaluate changes in the Common Agricultural Policy (CAP). The AGMEMOD model is an econometric, dynamic, multi-product, partial-equilibrium modelling system constructed within the 5th and 6th EU Framework Project. As an example of application of the model a quantitative assessment of the impact of the milk quotas abolition on the Polish dairy sector was displayed.
EN
Having a comprehensive construction concept in respect of computer simulation techniques used in simulators — systemsfor the training of security forces using technologically advanced trainers — is an unquestionable requirement in the current eraof technological development. Such concepts provide a basic compendium of knowledge which is particularly useful for those whoare not involved in simulation on a daily basis, but are planning to build similar systems. The authors present a range of solutionsthat may be used in the creation of an integrated simulation system for training security forces. The platform presented, whichis a federation of the simulation systems used by professionals responsible for security, will enable many participants to be trainedin interacting with each other. The solutions developed for the exchange of information, and the interoperability of the platform,ensure that it has the capacity to adapt to future requirements. The developers needed to meet the requirements in termsof quantity of data exchanged between the federation components involved (termed “federates” within the system) which resultfrom the special characteristics of the systems of training for security services. The integrated solutions ranging from small scalesimulation systems for training operators of pyrotechnical robots using a vehicle simulator through to simulation systems fortraining activities at a tactical and strategic level, that enable the simulation and visualization of crowds of many thousands,demanded the expansion of existing standards and an innovative approach to the issue. This study can be regarded as a conceptfor building simulators matching the desired outcomes, especially those that depend on modeling large numbers of independentagencies and forces along with the resources of relevant services. Particular emphasis is given to the practical aspects of creatingintegrated simulation systems and the universality of the study, and this may be of interest not only to academics and thoseworking on various aspects of simulators, but also to practitioners who want rapidly to reach a desired outcome through selectionof the indirect solutions available.
EN
This paper presents the system dynamics model of organic farming development in order to support decision making. The model seeks answers to strategic questions related to the level of organically utilized area, levels of production and crop selection in a long-term dynamic context. The model will be used for simulation of different policy scenarios for organic farming and their impact on economic and environmental parameters of organic production at an aggregate level. Using the model, several policy scenarios were performed.
EN
We discuss the concept of simulation and its application in the resolution of problems in complex industrial systems. Most problems of serious scale, be it an inventory problem, a production and distribution problem, a management of resources or process improvement, all real world problems require a mix of generic, data algorithmic and Ad-hoc solutions making the best of available information. We describe two projects in which analytical solutions were applied or contemplated. The first case study uses linear programming in the optimal allocation of advertising resources by a major internet service provider. The second study, in a series of projects, analyses options for the expansion of the production and distribution network of mining products, as part of a sensitive strategic business review. Using the examples, we make the case for the need of simulation in complex industrial problems where analytical solutions may be attempted but where the size and complexity of the problem forces a Monte Carlo approach.
EN
Background: The sugar beet is the main field crop used for sugar production in the temperate climatic zone. The abolishment of the quota system will open new investment opportunities in countries that were forced to abandon sugar industry as the result of the reform in 2006. Present paper describes the modeling of sugar beet production and its processing into sugar for purpose of decision support. Methods: A system dynamics methodology was chosen to model impacts of regional sugar factory investment. We present two basic concepts of system dynamics models at causal loop diagram level. The first holistic model deals with regional planning of new product development and the second one deals with factory model. Results: The holistic model presented main feedback loops and dynamics of main elements in the case of regional investment into sugar industry. The factory model considered the specifics of the beet processing which is a) limited period of beet processing and b) initial adjustment to the production capacity at the start of the production season Conclusions: The model seeks answers to strategic questions related to the whole sugar beet production and processing system and will be used for simulation of different scenarios for sugar production and their impact on economic and environmental parameters at an aggregate level.
Organizacija
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2015
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vol. 48
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issue 3
198-202
EN
Background: In the mid-1990s, a decision support system for copper production was developed for one of the largest mining companies in Australia. The research was conducted by scientists from the largest Australian research center and involved the use of simulation to analyze options to increase production of a copper production facility. Objectives: We describe a statistical model for shutdowns due to air quality control and some of the data analysis conducted during the simulation project. We point to the fact that the simulation was a sophisticated exercise that consisted of many modules and the statistical model for shutdowns was essential for valid simulation runs. Method: The statistical model made use of a full year of data on daily downtimes and used a combination of techniques to generate replications of the data. Results: The study was conducted with a high level of cooperation between the scientists and the mining company. This contributed to the development of accurate estimates for input into a support system with an EXCEL based interface. Conclusion: The environmental conditions affected greatly the operations of the production facility. A good statistical model was essential for the successful simulation and the high budget expansion decision that ensued.
EN
Foreign language teachers and researchers face a major challenge enabling students’ learning. Not only must they provide training in the target language, but they must also find ways to optimise class time and enhance students’ communication skills in the target language. How does technology intersect with English teaching in ways that benefit learning? A possible approach would align with integrating web-based strategies and optimising class time through new methodologies, techniques and resources. In this study, a group of university engineering students were taught with simulations to aid their learning of English as a foreign language. These engineering students were taught English through both class-based and a large-scale real-time web-based simulation. We present the results of quantitative analysis of students’ oral production. The goal was to show whether simulation-based instruction contributes to significant progress in oral language production in English. The results indicate that students progressed significantly in four language-related areas: vocabulary, pronunciation, variety of expression and grammar.
EN
Data acquisition and computerised analysis can be used to plan for emergencies related to important pipe networks. The objective of this study is to illustrate how GIS and hydraulic calculations may be used to reduce the impact of unexpected events, such as contamination and physical destruction and train operators for such scenarios. A case study with calibrated hydraulic calculations is used to investigate the uncertainty of the obtained information. Hydraulic conditions and contaminant transport are simulated with open source software. It is shown how GIS analysis can be utilised to find optimal solutions for flow redirection problems and shutting off portions of the network. A control system integrated network hydraulic simulation solution is described in order to make training and preparation more efficient. The investigation revealed serious deficiencies regarding the necessary input for running simulations. Contaminant transport results indicated that localisation based on computed water quality models is possible, but contains uncertainties. Data processing and simulation are shown to be a promising tool in decision support and preparation based on the applications outlined. Despite advanced databases and computerised analysis tools, collected data and dynamic simulation are not utilised to their full potential in the process of planning for emergencies. Based on the hypothetical simulation presented, further research and data collection are required to reduce the uncertainty of contaminant transport. For future research, more effort has to be put into developing simulation environments.
EN
In the paper an effort to use a pre-defined simulation model of a high-bay warehouse was made. It was done in order to research dynamic changes of material-flow in such a logistics facility. The paper consists of brief information about research tools e.g. Siemens Tecnomatix® Plant Simulation software and the logistics facility designing method, pre-defined by author of the paper (the method considers supplementary option, which is the sub-optimisation of functional and spatial areas inside a warehouse being designed with using the method). In addition, phases of the simulation research procedure are briefly described in the paper. The simulation research procedure is defined by author of the paper and it especially consists of constructing and using any simulation model. Chosen results of the research are enriched by some conclusions. Besides, the paper contains suggestions about forthcoming considerations of the research matter.
EN
In society, in nature, in technologic process and mainly in transportation it is no possible eliminate creation crisis and crisis situations. Everybody to try finding ways for minimize its behaviors and outcomes. In frame prevention activities we need prepare several measures for solving crisis situations in specific environment, space and time. Mathematical simulation can prepare several solutions, in good occasion also optimal solutions. The railway transport has prepared many specific organize, technical, and material proceedings for solving crisis situation. In article is described computing program for sophisticated solving of some problems.
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EN
A method for evaluating the risks in a situation has been presented where parameters in the calculation are expressed in the form of dependent fuzzy numbers and probability distributions. The procedure of risk estimation combines stochastic simulation with the execution of arithmetic operations on interactive fuzzy numbers. In order to define operations on such numbers, non-linear programming is used. Relations between the parameters presented in the form of fuzzy numbers and probability distributions are expressed by means of interval regression. The results of computations indicate that the relations between parameters have a significant impact on the ratios characterizing risk.
EN
The paper presents a method for evaluating the effectiveness and risks of investment projects and the selection of efficient portfolios in a situation where parameters in the calculation of effectiveness are expressed in the form of interactive fuzzy numbers. Fuzzy model simulations are used to perform arithmetic operations on interactive fuzzy numbers. The process of selecting investment projects takes into account statistical and economic dependences between projects.
EN
The goal of this paper is to present a summary of various simulation methods applied to health services and to discuss several internal and external determinants for selecting a particular simulation method to study a given managerial problem within the healthcare system. The analysis presented is based on a literature survey and considers four primary simulation techniques: Monte Carlo, discrete- -event simulation, agent-based simulation and system dynamics. A range of internal and external factors are reviewed and characterised to determine the most suitable simulation technique for addressing a particular healthcare decision problem.
EN
A profit analysis of a commercial offset printing production system working under various dynamic priority rules has been undertaken. The task is to investigate both whether and how a change in priority rules affects the system’s performance. A mutual impact of the dynamic priority rule utilized (EDD, LOR, MOR, SPT, and LPT), system workload (by means of machine utilization) and input buffer capacities have been studied.
EN
The paper proposes a new family of continuous distributions called the extended odd half Cauchy-G. It is based on the T-X construction of Alzaatreh et al. (2013) by considering half Cauchy distribution for T and the exponentiated G(x;ξ) as the distribution of X. Several particular cases are outlined and a number of important statistical characteristics of this family are investigated. Parameter estimation via several methods, including maximum likelihood, is discussed and followed up with simulation experiments aiming to asses their performances. Real life applications of modeling two data sets are presented to demonstrate the advantage of the proposed family of distributions over selected existing ones. Finally, a new regression model is proposed and its application in modeling data in the presence of covariates is presented.
EN
Synthetic estimators are known to produce estimates of population mean in areas where no sampled data are available, but such estimates are usually highly biased with invalid confidence statements. This paper presents a calibrated synthetic estimator of the population mean which addresses these problematic issues. Two known special cases of this estimator were obtained in the form of combined ratio and combined regression synthetic estimators, using selected tuning parameters under stratified sampling. In result, their biases and variance estimators were derived. The empirical demonstration of the usage involving the proposed calibrated estimators shows that they provide better estimates of the population mean than the existing estimators discussed in this study. In particular, the estimators were examined through simulation under three distributional assumptions, namely the normal, gamma and exponential distributions. The results show that they provide estimates of the mean displaying less relative bias and greater efficiency. Moreover, they prove more consistent than the existing classical synthetic estimator. The further evaluation carried out using the coefficient of variation provides additional confirmation of the calibrated estimator's advantage over the existing ones in relation to small area estimation.
PL
Głównym celem niniejszej dysertacji jest zapoznanie czytelnika z szeroko rozumianą problematyką syntezy ludzkiego głosu w procesie komunikacji na drodze człowiek–maszyna. Realizacja aplikacji multimedialnych wzbogaconych w generowany system mowy jest szczególnie interesującą propozycją wykorzystywaną w edukacji zdalnej na odległość.
EN
The communication process occurring between the user and the computer is still quite limited by considerable difficulties in interpreting the written commands. The main aim of the present article is then to describe various aspects of human speech synthesis in the human–computer communication. Multimedia applications with synthetic speech systems are very a promising idea in distance learning.
Cahiers ERTA
|
2023
|
issue 33
139-157
EN
Klossowski, who had originally started as a religious seeker of truth in his younger years, will – after his « reversal » – feel himself invested with the role of a « heretic » struggling with the libidinous search for truth. Even as the creator of a perverted metaphysics, he remains a seeker of the revelation of being, now in the role of the divine « adversary » who, thrown back on himself, tends to imitate a religious mystic. The divine is replaced by the whispers of the demon, which Klossowski experiences as « la complicité d'une force "démonique" » in the creation of his artworks. The Diana myth becomes a parable for the act of artistic creation. Sexuality, understood as the primordial ground of creative force that shapes the signe unique, the phantasm, shifts metaphysics to « phantasmaphysics » (Foucault), in which the mystery of the divine is exposed as a delusion (Wahnbild).
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