Number of found documents: 1598
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Measurements on TR-W-4 Cascade
Luxa, Martin; Šimurda, David
2021 - English
The report contains results and evaluation of conducted optical /interferometry and schlieren technique) and pneumatic measurements on the transonic profile cascade intenden for root section of rotor turbine blade. Keywords: turbine cascade; transonic flow; hub section Available at various institutes of the ASCR
Measurements on TR-W-4 Cascade

The report contains results and evaluation of conducted optical /interferometry and schlieren technique) and pneumatic measurements on the transonic profile cascade intenden for root section of rotor ...

Luxa, Martin; Šimurda, David
Ústav termomechaniky, 2021

Flutter methodology using reduced order aeroelastic model
Prasad, Chandra Shekhar; Pešek, Luděk; Šnábl, Pavel
2021 - English
The present research project is focused on development of fast and efficient numerical method based on reduced order aeroelastic method (ROAM) for modeling and analysis of \nclassical flutter in the low pressure (LP) stage steam turbine blade. Stability diagram such as aerodynamic damping (AD) of aeroelasticity of cascade of 3D turbine blades used as a prime \ncharacterization factor. In the calculation of the S-curve/AD, the problem of classical flutter formation associated with running waves is considered here. Running waves is simulated by \nthe inter-blade phase shift of the blades in the cascade. Panel method based boundary element flow solver is employed for calculation of unsteady aerodynamic forces. This method is good \ncompromise of speed and accuracy for the estimation of the stability of the blades on a classical flutter. One way loose coupling technique between PM based flow solver and the structural \nmodel. For the structural part modal model synthesis (MMS) method is adopted in the ROAM solver. MMS is adopted to further reduced the computational cost. The ROAM simulated AD \nand pressure distribution over blade is compared high fidelity CFD data on real blade geometry provided by Doosan Skoda Power s.r.o. Furthermore, the ROAM results are also compared \nwith experimentally obtained results on two different linear cascade. The ROAM model shows good agreement with linear cascade results, however, there is noticeable discrepancy with real blade CFD results. Keywords: reduced order model (ROM); classical flutter; steam turbine blade; panel method Available at various institutes of the ASCR
Flutter methodology using reduced order aeroelastic model

The present research project is focused on development of fast and efficient numerical method based on reduced order aeroelastic method (ROAM) for modeling and analysis of \nclassical ...

Prasad, Chandra Shekhar; Pešek, Luděk; Šnábl, Pavel
Ústav termomechaniky, 2021

Unsupervised Verification of Fake News by Public Opinion
Grim, Jiří
2021 - English
In this paper we discuss a simple way to evaluate the messages in social networks automatically, without any special content analysis or external intervention. We presume, that a large number of social network participants is capable of a relatively reliable evaluation of materials presented in the network. Considering a simple binary evaluation scheme (like/dislike), we propose a transparent algorithm with the aim to increase the voting power of reliable network members by means of weights. The algorithm supports the votes which correlate with the more reliable weighted majority and, in turn, the modified weights improve the quality of the weighted majority voting. In this sense the weighting is controlled only by a general coincidence of voting members while the specific content of messages is unimportant. The iterative optimization procedure is unsupervised and does not require any external intervention with only one exception, as discussed in Sec. 5.2 .\n\nIn simulation experiments the algorithm nearly exactly identifies the reliable members by means of weights. Using the reinforced weights we can compute for a new message the weighted sum of votes as a quantitative measure of its positive or negative nature. In this way any fake news can be recognized as negative and indicated as controversial. The accuracy of the resulting weighted decision making was essentially higher than a simple majority voting and has been considerably robust with respect to possible external manipulations.\n\nThe main motivation of the proposed algorithm is its application in a large social network. The content of evaluated messages is unimportant, only the related decision making of participants is registered and compared with the weighted vote with the aim to identify the most reliable voters. A large number of participants and communicated messages should enable to design a reliable and robust weighted voting scheme. Ideally the resulting weighted vote should provide a generally acceptable emotional feedback for network participants and could be used to indicate positive or controversial news in a suitably chosen quantitative way. The optimization algorithm has to be simple, transparent and intuitive to make the weighted vote well acceptable as a general evaluation tool.\n Keywords: weighted voting; unsupervised optimization Fulltext is available at external website.
Unsupervised Verification of Fake News by Public Opinion

In this paper we discuss a simple way to evaluate the messages in social networks automatically, without any special content analysis or external intervention. We presume, that a large number of ...

Grim, Jiří
Ústav teorie informace a automatizace, 2021

Research Report Influence of Vehicle Assistant System on Track keeping
Nedoma, P.; Herda, Z.; Plíhal, Jiří
2021 - English
Presented results describe different methods for the evaluation of car stability in lateral direction. Due to the significant differences between the tests, uniform methodology for recognizing the drives with ESC and without it was not determined. Two different methods for the drive on the circle and VDA were proposed instead. For evaluation criteria of vehicle stability with respect to base measured quantities, was used model with weight functions. Keywords: Electronic stability control; Vehicle Assistant System; Vehicle stability Fulltext is available at external website.
Research Report Influence of Vehicle Assistant System on Track keeping

Presented results describe different methods for the evaluation of car stability in lateral direction. Due to the significant differences between the tests, uniform methodology for recognizing the ...

Nedoma, P.; Herda, Z.; Plíhal, Jiří
Ústav teorie informace a automatizace, 2021

Ockham's Razor from a Fully Probabilistic Design Perspective
Hoffmann, A.; Quinn, Anthony
2021 - English
This research report investigates an approach to the design of an Ockham prior penalising parametric complexity in the Hierarchical Fully Probabilistic Design (HFPD) [1] setting. We identify a term which penalises the introduction of an additional parameter in the Wold decomposition. We also derive the objective Ockham Parameter Prior (OPI) in this context, based on earlier work [2], and we show that the two are, in fact, closely related. This confers validity on the HFPD Ockham term. Keywords: Ockham’s Razor; Hierarchical Fully Probabilistic Design; Parametric Inference; Fully Probabilistic Design Fulltext is available at external website.
Ockham's Razor from a Fully Probabilistic Design Perspective

This research report investigates an approach to the design of an Ockham prior penalising parametric complexity in the Hierarchical Fully Probabilistic Design (HFPD) [1] setting. We identify a term ...

Hoffmann, A.; Quinn, Anthony
Ústav teorie informace a automatizace, 2021

Paleomagnetic research of fill at T1 north portal (Rhinoceros site) – 2TDK Slovenia. Final Report
Bosák, Pavel; Zupan Hajna, N.; Kdýr, Šimon; Pruner, Petr; Švara, A.
2020 - English
Keywords: karst sediments; paleomagnetism; magnetostratigraphy; railway construction; Classical Karst; Slovenia Available at various institutes of the ASCR
Paleomagnetic research of fill at T1 north portal (Rhinoceros site) – 2TDK Slovenia. Final Report

Bosák, Pavel; Zupan Hajna, N.; Kdýr, Šimon; Pruner, Petr; Švara, A.
Geologický ústav, 2020

Institutions, Financial Development, and Small Business Survival: Evidence from European Emerging Economies
Iwasaki, I.; Kočenda, Evžen; Shida, Y.
2020 - English
In this paper, we traced the survival status of 94,401 small businesses in 17 European emerging markets from 2007–2017 and empirically examined the determinants of their survival, focusing on institutional quality and financial development. We found that institutional quality and level of financial development exhibit statistically significant and economically meaningful impacts on the survival probability of the SMEs being researched. The evidence holds even when we control for a set of firm-level characteristics such as ownership structure, financial performance, firm size, and age. The findings are also uniform across industries and country groups and robust beyond the difference in assumption of hazard distribution. Keywords: small business; survival analysis; European emerging markets Fulltext is available at external website.
Institutions, Financial Development, and Small Business Survival: Evidence from European Emerging Economies

In this paper, we traced the survival status of 94,401 small businesses in 17 European emerging markets from 2007–2017 and empirically examined the determinants of their survival, focusing on ...

Iwasaki, I.; Kočenda, Evžen; Shida, Y.
Ústav teorie informace a automatizace, 2020

Financial Crime and Punishment: A Meta-Analysis
de Batz, L.; Kočenda, Evžen
2020 - English
We examine how the publication of intentional financial crimes committed by listed firms is interpreted by financial markets, using a systematic and quantitative review of existing empirical studies. Specifically, we conduct a meta-regression analysis and investigate the extent and nature of the impact that the publication of financial misconducts exerts on stock returns. We survey 111 studies, published between 1978 and 2020, with a total of 439 estimates from event studies. Our key finding is that the average abnormal returns calculated from this empirical literature are affected by a negative publication selection bias. Still, after controlling for this bias, our meta-analysis indicates that publications of financial crimes are followed by statistically significant negative abnormal returns, which suggests the existence of an informational effect. Finally, the MRA results demonstrate that crimes committed in common law countries, alleged crimes, and accounting crimes carry particularly weighty information for market participants. The results call for more transparency on side of enforcers along enforcement procedures, to foster timely and proportionate market reactions and support efficient markets. Keywords: Meta-Analysis; Event study; Financial Misconduct; Fraud; Financial Markets; Returns; Listed Companies; Information and Market Efficiency Fulltext is available at external website.
Financial Crime and Punishment: A Meta-Analysis

We examine how the publication of intentional financial crimes committed by listed firms is interpreted by financial markets, using a systematic and quantitative review of existing empirical studies. ...

de Batz, L.; Kočenda, Evžen
Ústav teorie informace a automatizace, 2020

Selective Attention in Exchange Rate Forecasting
Kapounek, S.; Kučerová, Z.; Kočenda, Evžen
2020 - English
We analyze the exchange rate forecasting performance under the assumption of selective attention. Although currency markets react to a variety of different information, we hypothesize that market participants process only a limited amount of information. Our analysis includes more than 100,000 news articles relevant to the six most-traded foreign exchange currency pairs for the period of 1979–2016. We employ a dynamic model averaging approach to reduce model selection uncertainty and to identify time-varying probability to include regressors in our models. Our results show that smaller sizes models accounting for the presence of selective attention offer improved fitting and forecasting results. Specifically, we document a growing impact of foreign trade and monetary policy news on the euro/dollar exchange rate following the global financial crisis. Overall, our results point to the existence of selective attention in the case of most currency pairs. Keywords: exchange rate; selective attention; news; forecasting; dynamic model averaging Fulltext is available at external website.
Selective Attention in Exchange Rate Forecasting

We analyze the exchange rate forecasting performance under the assumption of selective attention. Although currency markets react to a variety of different information, we hypothesize that market ...

Kapounek, S.; Kučerová, Z.; Kočenda, Evžen
Ústav teorie informace a automatizace, 2020

Subjective well-being and the individual material situation in Central Europe: A Bayesian network approach
Švorc, Jan; Vomlel, Jiří
2020 - English
The objective of this paper is to explore the associations between the subjective well-being (SWB) and the subjective and objective measures of the individual material situation in the four post-communist countries of Central Europe (the Czech Republic, Hungary, Poland, and Slovakia). The material situation is measured by income, relative income compared to others, relative income compared to one’s own past, perceived economic strain, financial problems, material deprivation, and housing problems. Our analysis is based on empirical data from the third wave of European Quality of Life Study conducted in 2011. Bayesian networks as a graphical representation of the relations between SWB and the material situation have been constructed in five versions. The models have been assessed using the Bayesian Information Criterion (BIC) and SWB prediction accuracy, and compared\nwith Ordinal Logistic Regression (OLR). Expert knowledge, as well as three different algorithms (greedy, Gobnilp, and Tree-augmented Naive Bayes) were used for learning the network structures. Network parameters were learned using the EM algorithm. Parameters based on OLR were learned for a version of the expert model. The Gobnilp model, the Markov equivalent to the greedy model, is BIC optimal. The OLR predicts SWB slightly better than the other models. We conclude that the objective material conditions' influence on SWB is rather indirect, through the subjective situational assessment of various aspects related to the individual material conditions. Keywords: Subjective Well-Being; Income; Economic Strain; Material Deprivation; Bayesian Networks; Central Europe Fulltext is available at external website.
Subjective well-being and the individual material situation in Central Europe: A Bayesian network approach

The objective of this paper is to explore the associations between the subjective well-being (SWB) and the subjective and objective measures of the individual material situation in the four ...

Švorc, Jan; Vomlel, Jiří
Ústav teorie informace a automatizace, 2020

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