Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "real data" wg kryterium: Wszystkie pola

  Lista filtrów
Wyrównaj
Wyświetlanie 1-15 z 113
Tytuł:
Gas turbine vibration monitoring based on real data and neuro-fuzzy system
Autorzy:
Nail, Bachir
Djaidir, Benrabeh
Tibermacine, Imad Eddine
Napoli, Christian
Haidour, Nabil
Abdelaziz, Rabehi
Powiązania:
https://bibliotekanauki.pl/articles/27313823.pdf
Data publikacji:
2024
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
vibration analysis
gas turbine
centrifugal compressor
neuro-fuzzy system
ANFIS
Opis:
The gas turbine is considered to be a very complex piece of machinery because of both its static structure and the dynamic behavior that results from the occurrence of vibration phenomena. It is required to adopt monitoring and diagnostic procedures for the identification and localization of vibration flaws in order to ensure the appropriate operation of large rotating equipment such as gas turbines. This is necessary in order to avoid catastrophic failures and deterioration and to ensure that proper operation occurs. Utilizing an approach that is based on spectrum analysis, the purpose of this study is to provide a model for the monitoring and diagnosis of vibrations in a GE MS3002 gas turbine and its driven centrifugal compressor. This will be done by utilizing the technique. Following that, the collection of vibration measurements for a model of the centrifugal compressor served as a suggestion for an additional method. This method is based on the neuro-fuzzy approach type ANFIS, and it aims to create an equivalent system that is able to make decisions without consulting a human being for the purpose of detecting vibratory defects. In spite of the fact that the compressor that was investigated has flaws, this procedure produced satisfactory results.
Źródło:
Diagnostyka; 2024, 25, 1; art. no. 202410
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predicting housing sale prices in Germany by application of machine learning models and methods of data exploration
Przewidywanie cen mieszkań w Niemczech z wykorzystaniem modeli uczenia maszynowego i metod eksploracji danych
Autorzy:
Kim, Chong Dae
Bedorf, Nils
Powiązania:
https://bibliotekanauki.pl/articles/32041024.pdf
Data publikacji:
2024
Wydawca:
Szkoła Główna Handlowa w Warszawie
Tematy:
uczenie maszynowe
Niemcy
ekonomia
zbiór danych o rynku nieruchomości
big data
prognozowanie cen
machine learning
Germany
economics
real estate dataset
sale price prediction
Opis:
The prediction of real estate prices is a popular problem in the field of machine learning and often demonstrated in literature. In contrast to other approaches, which regularly focus on the US market, this paper investigates the biggest, German real estate dataset, with more than 1.5 million unique samples and more than 20 features. In this paper we implement and compare different machine learning models in respect to performance and interpretability to give insight in the most important properties, which contribute to the sale price. Our experiments suggest that the prediction of sale prices in a realworld scenario is achievable yet limited by the quality of data rather than quantity. The results show promising prediction scores but are also heavily dependent on the location, which leaves room for further evaluation.
Przewidywanie cen nieruchomości jest popularnym problemem w dziedzinie uczenia maszynowego i często przedstawianym w literaturze. W przeciwieństwie do innych podejść, które koncentrują się na rynku amerykańskim, niniejszy artykuł bada największy niemiecki zbiór danych dotyczących nieruchomości, zawierający ponad 1,5 mln unikatowych próbek i ponad 20 cech. W tym artykule wdrażamy i porównujemy różne modele uczenia maszynowego pod względem wydajności i możliwości interpretacji, aby uzyskać wgląd w najważniejsze
Źródło:
Kwartalnik Nauk o Przedsiębiorstwie; 2024, 71, 1; 107-122
1896-656X
Pojawia się w:
Kwartalnik Nauk o Przedsiębiorstwie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Coordination of transportation operations by 3PL based on real-time cloud data
Autorzy:
Kmiecik, Mariusz
Powiązania:
https://bibliotekanauki.pl/articles/27313441.pdf
Data publikacji:
2023
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
3PL
logistics service provider
distribution network
transportation
logistics coordination
dostawca usług logistycznych
sieć dystrybucyjna
transport
koordynacja logistyki
Opis:
Purpose: Main aim of the following paper is to present the conception of logistics coordination from the point of view of transportation actions from the perspective of the international 3PL company. Design/methodology/approach: In the paper used the case study based on the case of chosen international 3PL, where the distribution network was analyzed. Findings: 3PL is able to support the transportation planning operation in the considered distribution network by using a developed cloud-based infrastructure that supports demand forecasting tool and transportation planning. Originality/value: Paper connects the one function of logistics coordination – transportation planning – with the demand forecasting tool and the issues of 3PL. It is also shown the case study with implemented solution based on cloud infrastructure to support the transportation operations.
Źródło:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska; 2023, 168; 199--215
1641-3466
Pojawia się w:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Identification of Seasonality in the Housing Market Using the X13-ARIMA-SEATS Model
Identyfikacja sezonowości na rynku mieszkaniowym przy użyciu modelu X13-ARIMA-SEATS
Autorzy:
Mach, Łukasz
Dąbrowski, Ireneusz
Wotzka, Daria
Frącz, Paweł
Powiązania:
https://bibliotekanauki.pl/articles/28407797.pdf
Data publikacji:
2023
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
seasonality
real estate market
X13-ARIMA-SEATS
sezonowość
rynek nieruchomości
Opis:
Aim: In the conducted research, profiles of seasonality in the housing market were determined, which provided an opportunity to answer two fundamental questions: what is the nature of harmonic variation in the seasonality and periodicity of the studied components of the construction process? what parameters of the ARIMA model optimally describe the construction market? Methodology: In the conducted research, using the X13-ARIMA-SEATS model, seasonal decomposition was carried out in the various stages of the housing construction process. Results: The research process conducted to identify seasonal fluctuations in the housing construction market showed that harmonic fluctuation profiles can be identified on an annual basis. An analysis of seasonal fluctuations was carried out for each of the three stages of the housing construction process, while also checking how these profiles function for Poland in general, and for individual investors, and for those building apartments for sale or to rent. The study showed that the market for real estate development activity differs in its seasonal characteristics from that of individual investors. Implications and recommendations: The conclusions obtained from the research can provide support in the decision-making process, both from a macro and microeconomic perspective. Parameterisation of the occurring fluctuations, and taking them into account in the process of developing a forecast can provide decision-making rationale in the implementation of macroprudential and financial stability policies Originality/Value: A novelty is in the demonstration that the residential real estate market in Poland shows different seasonal parameters, divided into the market of individual investors and investors who build apartments for sale or rent.
Cel: W przeprowadzonych badaniach wyznaczono profile sezonowości na rynku mieszkaniowym, co dało możliwość odpowiedzi na dwa zasadnicze pytania: Jaki charakter ma harmoniczna zmienność sezonowości i okresowości badanych składowych procesu budowlanego? Jakie parametry modelu ARIMA optymalnie opisują rynek budowlany? Metodyka: W przeprowadzonych badaniach, wykorzystując model X13-ARIMA-SEATS, dokonano dekompozycji sezonowej w poszczególnych etapach procesu budownictwa mieszkaniowego. Wyniki: Proces badawczy przeprowadzony w celu identyfikacji wahań sezonowych na rynku budownictwa mieszkaniowego wykazał, że można zidentyfikować harmoniczne profile wahań w ujęciu rocznym. Analizę wahań sezonowych przeprowadzono dla każdego z trzech etapów procesu budowy mieszkań, sprawdzając jednocześnie, jak profile te kształtują się dla Polski ogółem oraz dla inwestorów indywidualnych i budujących mieszkania na sprzedaż lub wynajem. Badanie wykazało, że rynek działalności deweloperskiej różni się charakterystyką sezonową od rynku inwestorów indywidualnych. Implikacje i rekomendacje: Wnioski uzyskane z badań mogą stanowić wsparcie w procesie podejmowania decyzji z perspektywy zarówno makro-, jak i mikroekonomicznej. Parametryzacja występujących wahań i uwzględnienie ich w procesie opracowywania prognozy może stanowić przesłankę decyzyjną w realizacji inwestycji deweloperskich. Oryginalność/Wartość: Nowością jest wykazanie, że rynek nieruchomości mieszkaniowych w Polsce charakteryzuje się różnymi parametrami sezonowymi w podziale na rynek inwestorów indywidualnych oraz inwestorów wznoszących mieszkania na sprzedaż lub wynajem.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2023, 27, 4; 29-43
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The use of the GIS system in optimizing the costs of inspecting technical devices
Autorzy:
Miłek, Marzenna
Stanik, Jerzy
Kiedrowicz, Maciej
Napiórkowski, Jarosław
Powiązania:
https://bibliotekanauki.pl/articles/31342853.pdf
Data publikacji:
2023
Wydawca:
Stowarzyszenie SILGIS
Tematy:
open data
GIS
FSM
field service management
work scheduling
work dispatching
continuous planning
non-disruptive replanning
real-time planning
overconstrained planning
otwarte dane
zarządzanie usługami w terenie
planowanie pracy
przydzielanie pracy
planowanie ciągłe
ponowne planowanie bez zakłóceń
planowanie w czasie rzeczywistym
planowanie z nadmiernymi ograniczeniami
Opis:
Enterprises using cranes, HDS platforms, other handling equipment, or pressure equipment in their activities are subject to registration with the Office of Technical Inspection (UDT), which is obliged to conduct inspection activities on them. Inspections of technical devices are aimed at checking their technical condition. Approximately 1.3 million technical devices are currently subject to UDT supervision in Poland. Annually, UDT inspectors carry out over 1 million tests of technical devices, and the activities carried out by UDT translate into a constant reduction in the accident rate. All this takes place in conditions that require continuous work planning and scheduling. This article aims to present and discuss the use of open-source solutions for planning the work of teams carrying out inspection activities, along with the concept of their use.
Źródło:
GIS Odyssey Journal; 2023, 3, 2; 51-63
2720-2682
Pojawia się w:
GIS Odyssey Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Accuracy analysis of aircraft positioning using real radar and GPS data
Autorzy:
Ciećko, Adam
Goś, Artur
Krasuski, Kamil
Krześniak, Kacper
Powiązania:
https://bibliotekanauki.pl/articles/2203042.pdf
Data publikacji:
2022
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
radar
GCA-2000
GPS
polar coordinates
Cartesian coordinates
accuracy
współrzędne biegunowe
współrzędne kartezjańskie
dokładność
Opis:
This paper presents an analysis of the accuracy of aircraft positioning using radar and GPS satellite data. In particular, this study shows the results of research on determining the position of an aircraft, as well as the range and azimuth parameters for the GCA-2000 radar to the GPS solution. The research used measurement data from the GCA-2000 radar and the Thales MobileMapper Pro receiver placed onboard a Diamond DA-40NG aircraft. The flight experiment was carried out at the EPDE military airport in Dęblin. It was found that the average error in determining the position of the aircraft for the GCA-2000 radar was 295.57 m. Moreover, the average error in determining the range for the GCA-2000 radar is 138.12 m. Additionally, the average error in determining the azimuth for the GCA-2000 radar is equal to 0.408°.
Źródło:
Zeszyty Naukowe. Transport / Politechnika Śląska; 2022, 116; 71--82
0209-3324
2450-1549
Pojawia się w:
Zeszyty Naukowe. Transport / Politechnika Śląska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial intelligence-based decision-making algorithms, Internet of Things sensing networks, and sustainable cyber-physical management systems in big data-driven cognitive manufacturing
Autorzy:
Lazaroiu, George
Androniceanu, Armenia
Grecu, Iulia
Grecu, Gheorghe
Neguriță, Octav
Powiązania:
https://bibliotekanauki.pl/articles/19322650.pdf
Data publikacji:
2022
Wydawca:
Instytut Badań Gospodarczych
Tematy:
cognitive manufacturing
Artificial Intelligence of Things
cyber-physical system
big data-driven deep learning
real-time scheduling algorithm
smart device
sustainable product lifecycle management
Opis:
Research background: With increasing evidence of cognitive technologies progressively integrating themselves at all levels of the manufacturing enterprises, there is an instrumental need for comprehending how cognitive manufacturing systems can provide increased value and precision in complex operational processes. Purpose of the article: In this research, prior findings were cumulated proving that cognitive manufacturing integrates artificial intelligence-based decision-making algorithms, real-time big data analytics, sustainable industrial value creation, and digitized mass production. Methods: Throughout April and June 2022, by employing Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines, a quantitative literature review of ProQuest, Scopus, and the Web of Science databases was performed, with search terms including "cognitive Industrial Internet of Things", "cognitive automation", "cognitive manufacturing systems", "cognitively-enhanced machine", "cognitive technology-driven automation", "cognitive computing technologies", and "cognitive technologies". The Systematic Review Data Repository (SRDR) was leveraged, a software program for the collecting, processing, and analysis of data for our research. The quality of the selected scholarly sources was evaluated by harnessing the Mixed Method Appraisal Tool (MMAT). AMSTAR (Assessing the Methodological Quality of Systematic Reviews) deployed artificial intelligence and intelligent workflows, and Dedoose was used for mixed methods research. VOSviewer layout algorithms and Dimensions bibliometric mapping served as data visualization tools. Findings & value added: Cognitive manufacturing systems is developed on sustainable product lifecycle management, Internet of Things-based real-time production logistics, and deep learning-assisted smart process planning, optimizing value creation capabilities and artificial intelligence-based decision-making algorithms. Subsequent interest should be oriented to how predictive maintenance can assist in cognitive manufacturing by use of artificial intelligence-based decision-making algorithms, real-time big data analytics, sustainable industrial value creation, and digitized mass production.
Źródło:
Oeconomia Copernicana; 2022, 13, 4; 1047-1080
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Selected methods and factors in the reliable appraisal of agriculturally used real estates
Autorzy:
Wójciak, Ewelina
Cienciała, Agnieszka
Powiązania:
https://bibliotekanauki.pl/articles/2191400.pdf
Data publikacji:
2022
Wydawca:
Stowarzyszenie SILGIS
Tematy:
appraisal of real estate
agricultural real estate
valuation method
cadastral data in valuation
wycena nieruchomości
nieruchomości rolne
metoda wyceny
dane katastralne w wycenie
Opis:
Effective management of land resources requires implementing suitable policies and tools enabling a sustainable approach towards the improvement of the structure of farms, the acquisition of agricultural properties, their subdivision, as well as other procedures concerning the use and turnover of agricultural land. Proper analytical basis for managerial decisions includes procedures concerning estimation of land value.. The estimation of agricultural real estate in Poland generally takes place using a comparative approach, however, an alternative to the valuation process is allowed - the land valuation index method, which falls under the mixed approach. The purpose of the following paper is to verify the effectiveness of the land valuation index method in the context of the changing prices of agricultural real estates in Poland over the years. Moreover, there is widespread recognition that the estimation indices depend on the data of the real estate cadastre, as well as on the location of the real estate differentiated by its affiliation to a given tax district. As emhasised in the literature, the validity of the cadastral data is sometimes problematic and the state disclosed in the cadastre very often differs from the actual state. For the purposes of the following publication, examples of situations occurring in practice and affecting the reliability of the cadastral data on the basis of which the determination of the value of real estate is carried out were also indicated.
Źródło:
GIS Odyssey Journal; 2022, 2, 1; 99--112
2720-2682
Pojawia się w:
GIS Odyssey Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Development of precise point positioning algorithm to support advanced driver assistant functions for inland vessel navigation
Autorzy:
Lass, C.
Ziebold, R.
Powiązania:
https://bibliotekanauki.pl/articles/2063986.pdf
Data publikacji:
2021
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
real tme kinematic
Global Navigation Satellite Systems
state space representation
VHF Data Exchange System
precise point positioning
navigation and timing
Automatic Identification System
inland navigation
Opis:
Bridge passing and passing waterway locks are two of the most challenging phases for inland vessel navigation. In order to be able to automate these critical phases very precise and reliable position, navigation and timing (PNT) information are required. Here, the application of code-based positioning using signals of Global Navigation Satellite Systems (GNSS) is not sufficient anymore and phase-based positioning needs to be applied. Due to the larger coverage area and the reduction of the amount of correction data Precise Point Positioning (PPP) has significant advantages compared to the established Real Time Kinematic (RTK) positioning. PPP is seen as the key enabler for highly automatic driving for both road and inland waterway transport. This paper gives an overview of the current status of the developments of the PPP algorithm, which should finally be applied in advanced driver assistant functions. For the final application State Space Representation (SSR) correction data from SAPOS (Satellitenpositionierungsdienst der deutschen Landesvermessung) will be used, which will be transmitted over VDES (VHF Data Exchange System), the next generation AIS.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2021, 15, 3; 781--789
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Low bandwidth network-RTK correction diissemination for high accuracy maritime navigation
Autorzy:
Alissa, S.
Håkansson, M.
Henkel, P.
Mittmann, U.
Hüffmeier, J.
Rylander, R.
Powiązania:
https://bibliotekanauki.pl/articles/1841552.pdf
Data publikacji:
2021
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
real time kinematic
high accuracy maritime navigation
network-RTK
Global Navigation Satellite System
VHF data exchange system
GNSS receiver
virtual reference station
physical reference stations
Opis:
More than half of the incidents reported to EMSA relate to nautical events such as collision, groundings and contacts. Knowledge of accurate and high-integrity positioning is therefore not only a need for future automated shipping but a base for today’s safe navigation. Examples on accidents include Ever Given in the Suez Canal and HNoMS Helge Ingstad in Norway. A Network-RTK (NRTK) service can be used as an augmentation technique to improve performance of shipborne GNSS receivers for future positioning of manned and unmanned vessels in restricted areas, such as port areas, fairways, and inland water ways. NRTK service providers generate RTK corrections based on the observations of networks of GNSS reference stations which enables the users to determine their position with centimeter accuracy in real-time using a shipborne GNSS receiver. Selection of appropriate communication channels for dissemination of NRTK corrections data is the key to a secure positioning (localization) service. In PrePare-Ships project, the modern maritime communication system VDES (VHF Data Exchange System) is proposed to distribute SWEPOS (NRTK in Sweden) correction data to shipborne positioning modules. VDES is a very reliable technique and it is compatible with most onboard functionalities. In order to minimize the impact on the overall VDES data capacity in a local area, NRTK correction data shall only occupy a single VDES slot with a net capacity of 650 bytes. Update rates may vary but are preferably at 1Hz. However, NRTK correction data size changes instantly, depending on the number of visible GNSS satellites, and the data rate can therefore sometimes reach in excess of 1000 byte/s. In this study, a smart technique is proposed to reduce size of NRTK correction data to instantly adapt with the VDES requirements by choosing a combination of specific signals, satellites or even constellations such that the data rate is not more than 650 byte/s, and at the same time it achieves optimal positioning performance with the accuracy required by the PrePare-Ships project application.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2021, 15, 1; 171-179
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Significance of real-time petro-physical data for an optimal remote geosteering operation in complex geological reservoirs
Autorzy:
Amer, Muhammad Attique
Ehsan, Muhsan
Akhtar, Muhammad Javid
Powiązania:
https://bibliotekanauki.pl/articles/2055849.pdf
Data publikacji:
2021
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
remote geosteering
integrated real-time data
logging while drilling
collaborative decision making
reservoir management
Opis:
In the last decade, the oil industry has transitioned from primarily drilling vertical wells to a majority of extended reach complex horizontal wells with help of geosteering techniques for better reservoir and production efficiencies. The overall objective of geosteering and well placement has helped to maximize reservoir contact by the keeping well trajectory in the pay zone with the help of quality real-time data, especially in these uncertain times of pandemic due to COVID-19. This paper illustrates the immense impact of real-time data feeds (special logging tools/images) at operation centers with the full remote expert support of multidisciplinary teams. The proper data communication mechanism is also helpful to share the information across asset teams in a timely manner to drill complex wells remotely. To achieve the desired geosteering objectives, experts monitor and evaluate the real-time data in a landing well accurately in the pay horizon by designing the well path which considers geological variables like (reservoir architecture, permeability and porosity distribution, and fluid contacts) which further helps update the reservoir models in real-time based on the latest subsurface information for better reservoir management and timely decision making.
Źródło:
Geology, Geophysics and Environment; 2021, 47, 3; 125--130
2299-8004
2353-0790
Pojawia się w:
Geology, Geophysics and Environment
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The importance of data revisions for statistical inference
Znaczenie rewizji danych dla wnioskowania statystycznego
Autorzy:
Ziembińska, Paulina
Powiązania:
https://bibliotekanauki.pl/articles/985676.pdf
Data publikacji:
2021
Wydawca:
Główny Urząd Statystyczny
Tematy:
data revisions
real-time data
time series analysis
forecasting
rewizje danych
dane w czasie rzeczywistym
analiza szeregów czasowych
prognozowanie
Opis:
The aim of the study is a quantitative analysis of revisions conducted by means of a new, real-time macroeconomic dataset for Poland, designed on the basis of the Statistical bulletin (Biuletyn statystyczny) published by Statistics Poland, covering the period from as early as 1995 until 2017. Polish data have positively verified a number of hypotheses concerning the impact of data revisions on the modelling process. Procedures assessing the properties of time series can yield widely discrepant results, depending on the extent to which the applied data have been revised. A comparison of the fitted ARIMA models for series of initial and final data demonstrates that the fitted models are similar for the majority of variables. In the cases where the form of the model is identical for both series, the coefficients retain their scale and sign. Most differences between coefficients result from a different structure of the fitted model, which causes differ-ences in the autoregressive structure and can have a considerable impact on the ex ante infer-ence. A prognostic experiment confirmed these observations. For a large number of variables, the total impact of revisions on the forecasting process exceeds 10%. Extreme cases, where the impact goes beyond 100%, or situations where data have a direct impact on the forecast sign, are also relatively frequent. Taking these results into account by forecasters could significantly improve the quality of their predictions. The forecast horizon has a minor impact on these conclusions. The article is a continuation of the author's work from 2017.
Celem pracy jest ilościowa analiza rewizji danych makroekonomicznych w czasie rzeczywistym dla Polski pochodzących z nowego zbioru utworzonego na podstawie „Biuletynu statystycznego” GUS i obejmującego okres od 1995 do 2017 r. Polskie dane pozytywnie weryfikują wiele hipotez dotyczących wpływu rewizji danych na proces modelowania. Procedury oceniające własności szeregów czasowych mogą dawać istotnie różne wyniki w zależności od tego, jak bardzo rewidowane dane zostaną użyte. Porównanie dopasowanych modeli ARIMA dla szeregów pierwszych i finalnych odczytów wskazuje, że w przypadku większości zmiennych dopasowane modele są podobne. Gdy postać modelu jest taka sama dla obu szeregów, współczynniki zachowują skalę i znak. Większość różnic we współczynnikach wynika z odmiennej struktury dopasowanego modelu, co wpływa na różnice w strukturze autoregresyjnej i może mieć niemały wpływ na wnioskowanie ex ante. Potwierdza to eksperyment prognostyczny. Dla dużej części zmiennych całkowity wpływ rewizji na proces prognozowania wynosi powyżej 10%. Nie są też wyjątkiem ekstremalne przypadki, w których ten wpływ przekracza 100%, czy sytuacje, w których dane bezpośrednio wpływają na znak prognozy. Uwzględnienie tych wyników przez prognostów mogłoby znacząco poprawić jakość predykcji. Horyzont prognozy ma niewielki wpływ na te konkluzje. Artykuł jest kontynuacją pracy autorki z 2017 r.
Źródło:
Wiadomości Statystyczne. The Polish Statistician; 2021, 66, 2; 7-24
0043-518X
Pojawia się w:
Wiadomości Statystyczne. The Polish Statistician
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Algorithm of aircraft flight data processing in real-time
Autorzy:
Sabziev, Elkhan
Powiązania:
https://bibliotekanauki.pl/articles/2091181.pdf
Data publikacji:
2020
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
navigation system
loads
flight speed
data bundling method
flight path
system nawigacyjny
ładunki
prędkość lotu
metoda łączenia danych
tor lotu
Opis:
In this paper, the problem of data bundling from different channels to determine the current location of a military aircraft belonging to the platform navigation system was investigated. The calculation of the data bundling coefficients by the least-squares method is proposed based on the data related to loads, orientation angles and speed recorded in the black box during the flight. Data from different channels (speed channel, load channel and GPS channel) are converted to like quantities (expressed as speed). The bundling coefficients (weight coefficients) of the speed and load channels data are calculated based on the GPS data of the flight start time (approximately 30-60 seconds of flight). Using these weight coefficients, the speed and load channels data are bundled, and the trajectory of the aircraft over the entire duration of the flight is plotted. This approach allows obtaining a satisfactory flight path in real-time for the subsequent flight period.
Źródło:
Zeszyty Naukowe. Transport / Politechnika Śląska; 2020, 108; 213--221
0209-3324
2450-1549
Pojawia się w:
Zeszyty Naukowe. Transport / Politechnika Śląska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Cloud-based sentiment analysis for measuring customer satisfaction in the Moroccan banking sector using Naïve Bayes and Stanford NLP
Autorzy:
Riadsolh, Anouar
Lasri, Imane
ElBelkacemi, Mourad
Powiązania:
https://bibliotekanauki.pl/articles/2141901.pdf
Data publikacji:
2020
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
Big Data processing
Apache Spark
Apache Kafka
real-time text processing
sentiment analysis
Stanford core NLP
Naïve Bayes classifier
Opis:
In a world where every day we produce 2.5 quintillion bytes of data, sentiment analysis has been a key for making sense of that data. However, to process huge text data in real-time requires building a data processing pipeline in order to minimize the latency to process data streams. In this paper, we explain and evaluate our proposed real-time customer’ sentiment analysis pipeline on the Moroccan banking sector through data from the web and social network using open-source big data tools such as data ingestion using Apache Kafka, In-memory data processing using Apache Spark, Apache HBase for storing tweets and the satisfaction indicator, and ElasticSearch and Kibana for visualization then NodeJS for building a web application. The performance evaluation of Naïve Bayesian model show that for French Tweets the accuracy has reached 76.19% while for English Tweets the result was unsatisfactory and the resulting accuracy is 56%. To remedy this problem, we used the Stanford core NLP which, for English Tweets, reaches a precision of 80.7%.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2020, 14, 4; 64-71
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Is Foreign Direct Investment a Real Driving Force of Economic Growth? A Panel Data Analysis
Autorzy:
Khalilov, Latif
Yi, Chae-Deug
Powiązania:
https://bibliotekanauki.pl/articles/2075471.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
economic growth
FDI
human capital
research and development
panel analysis
Opis:
The purpose of this empirical study is to find the relationship between economic growth and foreign direct investment (FDI) in the Commonwealth of Independent States (CIS) and Central and Eastern European Countries (CEECs) using endogenous technological change model. First, we combine the CIS and CEECs into one group to test our hypothesis, and then we test each group separately to account for heterogeneity and draw a conclusion whether FDI is indeed a driving force of the economy. Panel data have been used from 2003 to 2014 and different panel estimation methods have been applied. Additionally, we use the Generalized Method of Moments (GMM) panel estimator to control for endogeneity problem. The present study finds that FDI is an important factor explaining economic growth in the pooled group and CEECs, although it is not significant in the case of CIS.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2020, 3; 273-299
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 113

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies