Wyniki wyszukiwania - Biblioteka Nauki

1

Analysis of the Aviation Safety Management System by Fractal and Statistical Tools

100%

Bugayko D. , Leshchynskyi O. , Sokolova N. , Isaienko V. , Zamiar Z.

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tom 44

41-60

EN

World civil aviation is an open-source system that is affected by a large number of related and non-related factors. Aviation safety is one of the prioritized directions in the industry. Its managerial decision-making process is primarily based on a versatile analysis of security data in which the choice of the appropriate mathematical apparatus is fundamental. This article suggests applying fractal-statistical analysis to evaluate the aviation safety management system in terms of determining the random distribution of quantitative dynamics of aircraft crashes with lethal consequences in the period from 1946 to 2017. This allows us to verify the adequacy of probabilistic approaches appliance in analysing the dynamics of aviation disasters. The results of research carried out on the basis of the Hurst exponent have allowed us to conclude that the dynamics of aviation disasters is characterized by the effect of "spatial memory". In other words, these are "hidden laws", for which further investigation can become an effective tool for the development of proactive methods in managing aviation safety.

2

The influence of the data analysis scale on the estimated size of ecosystem services

100%

Lupa P. , Mizgajski A.

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nr 4[51]

3

Zastosowanie metody taksonomii wrocławskiej do analizy danych marketingowych

100%

Hysa M.

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tom z. 2

39-51

PL

W artykule zaprezentowano metodę taksonomii wrocławskiej do analizy danych marketingowych. Przedstawiono podstawowe pojęcia związane z taksonomią oraz zaprezentowano praktyczny przykład zastosowania metody taksonomii wrocławskiej do grupowania cech badanej zbiorowości.

EN

In this article the taxonomy of Wroclaw method to analyse of marketing data are presented. The basic concepts of taxonomy and practical example taxonomy using Wroclaw method to group feature of study communities are considered.

4

Extended power hazard rate distribution and its application

100%

MUSTAFA A.

Operations Research and Decisions

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2024

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tom 34

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nr 1

193-209

EN

A new model four-parameter model called the odd generalized exponential power hazard rate (OGE-PHR) distribution has been introduced. Some statistical properties for OGE-PHR are obtained. The moments, quantile, mode, reliability, and order statistics are discussed. Estimation of parameters, maximum likelihood technique is employed. Two real data sets are discussed with applications.

5

Stability and economic freedom in the countries of Central and Eastern Europe: Quantitative analysis

100%

Karateev A.

Eastern Review

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2019

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tom 8

149-159

EN

Exploring the stability of states and political systems is of interest to scientists and politicians all around the world. One of the most important questions in this field is the question of the relationship between stability and freedom. This paper considers the relationship between economic freedom and stability with regards to the example of countries of Central and Eastern Europe. The study uses quantitative analysis and the operationalisation of economic freedom through the Index of Economic Freedom (IEF); furthermore, stability is studied through the Fragile States Index (FSI), and the Political Stability and Absence of Violence/Terrorism Index (PSI). The analysis reveals a strong correlation between economic freedom and stability. According to linear regression models obtained by the author, economic freedom has a strong impact on stability. Models show that most of the components of IEF increase stability, whilst some components decrease it. This means that the same factors affect economic freedom and stability in different ways. In particular, taxes have a very positive effect on stability. At the same it is obvious that taxes reduce economic freedom. This fact allows us to resolve the existing contradictions among politicians and scientists, who differently assess the impact of economic freedom on stability. It may be stated that whilst economic freedom has in general a strong positive effect on stability, it can also have a negative effect.

6

Chemometria jako wydajne narzędzie analizy danych środowiskowych. Cz. 5. Inteligentne techniki analizy danych

100%

Astel A.

LAB Laboratoria, Aparatura, Badania

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2008

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tom R. 13, nr 1

44-49

7

A bi-logistic growth model for conference registration with an early bird deadline

100%

Fenner T. , Levene M. , Loizou G.

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tom 11

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nr 7

904-909

EN

The recent interest in human dynamics has led researchers to investigate the processes that explain human behaviour within different contexts. Here we are concerned in modelling the human response to a deadline, and in particular we look at the process of conference registration with an early bird deadline. We provide empirical evidence from a six-year conference registration data set that the bi-logistic growth function, with the interpretation as registration with an early bird deadline, can be viewed as a social mechanism.

8

Situations in traffic - how quickly they change

100%

Krawczyk M. , Ruiz C. , Kułakowski K.

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2011

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tom 9

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nr 6

1452-1457

EN

Spatio-temporal correlations of traffic intensity are analyzed employing data collected for the motorway M-30 around Madrid during one week in January 2009. We found that the lifetime of these correlations is the shortest in the evening between 6:00 p.m. and 8:00 p.m. This lifetime represents a new indicator for the amount of attention that is demanded by drivers in given traffic conditions.

9

Cluster analysis with clusterSim computer program and R environment

100%

Walesiak M. , Chair of Department of Econometrics and Computer Science W. U. o. E.

Acta Universitatis Lodziensis. Folia Oeconomica

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2008

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tom 216

EN

The article presents auxiliary functions of clusterSim package (see Walesiak & Dudek (2006)) and selected functions of packages stats, cluster, and ade4, which are applied to solving clustering problems. In addition, the examples of the procedures for solving different clustering problems are presented. These procedures, which are not available in statistical packages (SPSS, Statistica, SAS), can help solving a broad range of classification problems.

PL

W artykule scharakteryzowano funkcje pomocnicze pakietu clusterSim oraz wybrane funkcje pakietów stats, cluster i ade4 służące zagadnieniu analizy skupień. Ponadto zaprezentowano przykładowe procedury, wykorzystujące analizowane funkcje, ułatwiające potencjalnemu użytkownikowi realizację wielu zagadnień klasyfikacyjnych niedostępnych w podstawowych pakietach statystycznych (np. SPSS, Statistica, SAS).

10

Analysis and Prediction for Air Quality Using Various Machine Learning Models

100%

Dao T.-H. , Dieu V. H. , Nhat H. V. , Thu N. T. , Tran D.-T. , Trung H. Q. , Tran D.-N.

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tom Vol. 33

89--94

EN

Air pollution has been a concern in recent years. Measuring the extent of pollution is important to know about the air quality. Previous research has used machine learning algorithms to forecast the Air Quality Index (AQI) in specific locations. Even though that research achieved quite reliable results, they still have some drawbacks that need to be taken into consideration, such as low accuracy or lack of data analysis.On a public dataset, we used Random Forest, XGBoost, and Neural Network to build a machine learning model for the purpose of making predictions about the air quality index (AQI) in a number of cities located in India. The performances of these models were evaluated by using their score errors, Root Mean Square Error (RMSE), and Coefficient Of Determination (R2). This paper demonstrates the analysis of air pollutants from the dataset, which is an effective way to enhance the model's performance.

11

Analysis of the Aviation Safety Management System by Fractal and Statistical Tools

100%

Bugayko D. , Leshchynskyi О. , Sokolova N. , Isaienko V. , Zamiar Z.

Logistics and Transport

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2019

|

tom Vol. 44, No. 4

41--59

EN

World civil aviation is an open-source system that is affected by a large number of related and non-related factors. Aviation safety is one of the prioritized directions in the industry. Its managerial decision-making process is primarily based on a versatile analysis of security data in which the choice of the appropriate mathematical apparatus is fundamental. This article suggests applying fractal-statistical analysis to evaluate the aviation safety management system in terms of determining the random distribution of quantitative dynamics of aircraft crashes with lethal consequences in the period from 1946 to 2017. This allows us to verify the adequacy of probabilistic approaches appliance in analysing the dynamics of aviation disasters. The results of research carried out on the basis of the Hurst exponent have allowed us to conclude that the dynamics of aviation disasters is characterized by the effect of "spatial memory". In other words, these are "hidden laws", for which further investigation can become an effective tool for the development of proactive methods in managing aviation safety.

12

Implementation of the attribute significance analysis with the use of soft reduction of attributes in the rough set theory on the basis of the SQL mechanisms

100%

Nozdrzykowski Ł. , Nozdrzykowska M.

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tom Vol. 63, No. 1

10--14

EN

This article presents a way to use databases supporting the SQL and PL/SQL in the implementation of a method of attribute significance analysis with the use of soft reduction of attributes in the rough set theory. A number of SQL queries are presented, which facilitate the implementation. The original mechanisms presented previously [1] are supplemented with queries which facilitate the execution of attribute coding. The authors present a complete implementation of the method, from the coding of attributes to the determination of the significance of conditional attributes. Application of queries to the database eliminates the necessity to build data grouping and data mining mechanisms and calculation of repetitions of identical rules in the reduced decision rule space. Without the support of a database, the creation of universal data grouping and data mining mechanisms which could be used with any number of attributes is a challenging task.

13

Detekcja a identyfikacja

100%

Maj K. , Pabisiak P. , Stępień G. G. , Wysota R.

Geodeta : magazyn geoinformacyjny

|

2007

|

tom nr 9

26-31

PL

Tematem artykułu jest opis metod i technik wykorzystania zdjęć satelitarnych w rozpoznaniu obrazowym. Przedstawiono specyfikę detekcji, identyfikacji i opisu technicznego obiektów w kontekście wykorzystania wysokorozdzielczych danych obrazowych. Pokazano wyniki prac amerykańskich specjalistów z wywiadu geoprzestrzennego związanych z rozdzielczością obrazu i możliwościami jego analitycznego wykorzystania. Następnie, analizując czynniki wpływające na zawartość informacyjną obrazu, przedstawiono własne wnioski poparte przykładami. Scharakteryzowano klucze interpretacyjne i wzorce porównawcze, pokazując sposób postepowania od detekcji do opisu technicznego obiektu. Zwrócono również uwagę na możliwości wykorzystania obrazów hiperspektralnych. Przedstawione wnioski ukazują rosnącą wciąż rolę współczesnych zobrazowań rastrowych dla celów interpretacyjnych w kontekście zabezpieczenia działań wojennych.

EN

The topic of the publication is the description of the methods and techniques of using satellite imageries in Imagery Intelligence (IMINT). The article introduces the specificity of detection, identification and technical description of objects in the context of using high-resolution imageries data. The article depicts the results of the American geospatial intelligence expert's work connected with image resolution and possibilities of its analytic using. Afterwards, analyzing the factors influencing on informative content of image, own conclusions supported with examples were presented. Interpretation keys and comparative models were described, showing the course of action from detection to technical description of an object. The attention was also paid on a possibility of hyperspectral imageries using. The introduced conclusions present growing continually role of the contemporary raster images for interpreative aims in contex of safing of warfare operations.

14

Use of statistical tools in hydrogeological research

100%

Mika A.

Geology, Geophysics and Environment

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2016

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tom Vol. 42, no. 1

99

EN

Marcus Cicero said “Any man can make mistakes, but only an idiot persists in his error”. In this paper, some statistical tools are presented, which give scientists an opportunity to reduce or eliminate their mistakes and could help to assess results of high quality and their presentation. In hydrogeology and hydrogeochemistry every stage of research could cause serious errors. IBM SPSS software is a modular system designated to the data analysis or visual presentation of the results. SPSS gives a lot of possibilities to illustrate the results of chemical analysis using different plots, which can show a dependence of results from sampling points or time changes of ion concentrations. Another software, GWSDAT, is freeware, a supplement to Microsoft Excel, based on R language. This software provides trend assessment (Jones & Spence 2013) and visual presentation of results e.g. as a concentration map. The basic statistical method to evaluate the quality of the analysis is an error based on the ions balance. The values of this error can be shown on a histogram with references line (pictured the threshold value include in ruling standards). A chemical analysis result could also be illustrated on a box-and-whisker plot. Then we can show which concentrations diverge values or are higher than parametric value assigned by the regulations. The second method for quality control of the obtained analysis results is a control chart. This diagram bases on recording results of measurements of the analysed parameters e.g. concentrations of ions (Szczepańska & Kmiecik 2005). Control limit lines (Upper Control Limit and Lower Control Limit) are usually determined as three standard deviations from the mean value. Control limit-crossing is named as a single signal (S). The presence of a single signal on the control chart could be a basis to question the accuracy of analysis (Szczepańska & Kmiecik 2005). To get more reliable chemical analysis results, they should be reported with their uncertainty. The uncertainty of measurement is a parameter that characterizes the analytical method and specify the confidence interval of true value. It’s an interval in which “the real” value should be with specified probability. The total uncertainty is calculated on the basis of the uncertainty of all parameters and actions/analytical process stages, which have an impact on the result of analysis e.g. sampling, methodology, transport (Kmiecik 2011). The uncertainty enhances the reliability of the results and helps to make correct decisions e.g. during groundwater chemical status assessment. The statistical tools are helpful in the interpretation of the results, especially when they are related to the current legislation. Meanwhile, the plots and maps are useful in the presentation of the results to people, who are not related to hydrogeology (e.g. investors).

15

VERYFICATION OF LOCATION PROBLEM IN ECONOMIC RESEARCH

100%

Kozioł - Kaczorek D. , Parlińska M.

Acta Universitatis Lodziensis. Folia Oeconomica

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2014

|

tom 3

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nr 302

EN

In economic research very often the location problem in the single sample or estimation of the difference in two samples location is commonly tested by experimental economists. Usually the used tests are Wilcoxon test for single sample location or Wilcoxon – Mann – Whitney for two samples location problem. Unfortunately those tests have some disadvantages such as robustness against assumptions or week efficiency. In the paper, some less known procedures, which allow avoid those problems, will be presented. Considered methods will be illustrated on the example of the data analysis from real-estate market.

16

HISTORIA HISTORIOGRAFII A CELE I WARTOŚCI TOWARZYSZĄCE STUDIOWANIU HISTORII

100%

Werner W.

|

nr 3

183-199

EN

The article discusses the issue of teaching the history of historiography in the context of the values and goals that students of history declare as important to them. Based on the survey, it can be stated that for the students of history at AMU two important values are prevalent: intellectual development and work for the benefi t of society (understood as the commemoration of things worth remembering). It is also important for them to acquire skills useful in future work. “The history of historiography” as an academic subject may enable the realization of these values and goals. A lecturer in the history of historiography can show students the relationship of historical knowledge to social problems. She/he can also introduce modern methods of data analysis to present the problem of reception of historiography in the modern world.

17

Metody gromadzenia i interpretacji danych zbieranych z punktów pomiarowych maszyn górniczych jako kluczowe zagadnienia monitoringu

100%

Śliwiński P. , Kaniewski T. , Zimroz R. , Lewicki M.

Zeszyty Naukowe Uczelni Jana Wyżykowskiego. Studia z Nauk Technicznych

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2019

|

tom Nr 8

171--177

PL

Jedną z metod pozwalających na utrzymanie kontrolowanego wysokiego stopnia sprawności maszyn górniczych jest ich bieżący monitoring. Czujniki pomiarowe oraz urządzenia obsługujące transmisję danych zabudowywane są na wybranych kluczowych grupach maszyn. Odczytywane dane wprowadzane są do hurtowni danych i interpretowane w oparciu o dysponowane oprogramowanie. Zasób tych danych oraz ustawicznie wzbogacana wiedza w zakresie pracy maszyn przesuwają metody interpretacji w kierunku wielowymiarowej analizy danych produkcyjnych. W artykule omówiono schematy logiczne gromadzenia danych i przewidywane tendencje rozwojowe w zakresie interpretacji uzyskiwanych informacji przy użyciu nowoczesnych narzędzi informatycznych.

EN

One of the methods to maintain high efficiency of mining machinery is monitoring. Measuring sensors are installed on selected groups of machines. The read data are entered into the data warehouse. The available software enables their correct interpretation. The article also discusses ssues related to the proper collection of data.

18

Intelligent pattern recognition of SLM machine energy data

100%

Uhlmann E. , Pastl Pontes R. , Laghmouchi A. , Hohwieler E. , Feitscher R.

Journal of Machine Engineering

|

2017

|

tom Vol. 17, No. 2

65--76

EN

Selective Laser Melting (SLM) is an additive manufacturing process, in which the research has been increasing over the past few years to meet customer-specific requirements. Different parameters from the process and the machine components have been monitored in order to obtain vital information such as productivity of the machine and quality of the manufactured workpiece. The monitoring of parameters related to energy is also realized, but the utilisation of such data is usually performed for determining basic information, for instance, from energy consumption. By applying machine learning algorithms on these data, it is possible to identify not only the steps of the manufacturing process, but also its behaviour patterns. Along with these algorithms, evidences regarding the conditions of components and anomalies can be detected in the acquired data. The results can be used to point out the process errors and component faults and can be adopted to analyse the energy efficiency of the SLM process by comparing energy consumption of one single layer during the manufacturing of different components. Moreover, the state of the manufacturing process and the machine can be determined automatically and applied to predict failures in order to launch appropriate counter measures.

19

Najlepsze dopasowanie

100%

Osada E.

Geodeta : magazyn geoinformacyjny

|

2008

|

tom nr 10

44-46

PL

W artykule przedstawiono wyniki analizy danych i metod poziomej i wysokościowej transformacji mapy zasadniczej do układów państwowych 2000 i Kronsztad 1986 na przykładzie wrocławia. Transformacje złożone są z wielomianowego trendu liniowego, kwadratowego i sześciennego oraz losowej reszty, inrepolowanej metodami odwrotnej odległości, minimalnej krzywizny i krigingu. Wykazano szczególną przydatność metody krigingu do poziomej i wysokościowej transformacji mapy. Stwierdzono brak konieczności zmian powierzchni działek ewidencyjnych po transformacji mapy we Wrocławiu.

EN

Data as well as planar and vertical transformation models analysis of the basic of Wrocław from local to the national coordinate systems 2000 and Kronsztad 1986 are given. The transformation models have two parts: polynomial trend (linear, biquadratic and bicubic interpolation) and random residuals modelled using the inverse distance interpolation, thin plate spline interpolation and kriging. It is shown that the best resulats of the planer and vertical transformation of the map can be obtained using kriging.

20

A new immune algorithm for classification static and dynamic data

100%

Wierzchoń S. T. , Kużelewska U.

Studia Informatica : systems and information technology

|

2004

|

tom Vol. 1(3)

107--116

EN

In this paper we present a new algorithm for exploratory data analysis. It can be used for automated cluster extraction in static as well as dinamically changing data sets. The description of the algorithm is followed by a short overview of immune-based approaches to data analysis and machine learning. The entire algorithm is briefly described in Section 3. When coping with multidimensional data, problems with their visualization is presented; the algorithm reflects topological structure of extracted clusters rather than true data location in multidimensional space. Section 5 describes shortly numerical experiments with static and dinamically changing data sets. Section 6 colcludes the paper and Section 7 describes future developments.