The paper deals with the issue of GNSS interference and its subsequent impact on airport approach procedures. It discusses the problem of GNSS signal interference and interference identification on a ...practical example of a small regional airport in Zilina, located close to the highway, through research aimed at its identification, a proposal for the location of a monitoring station and subsequent practical verification. The paper seeks to analyse and provide recommendations for enhancing safety and reliability in GNSS approaches. Given the need to develop the air transport, it is important to ensure the safety and continuity of service provision at small regional airports. The GNSS approach at airports with insufficiently equipped navigation infrastructure seems to be one of the most suitable. Introduction of the GNSS interference monitoring in the final instrument approach phase would increase the safety and reliability of the flight.
We draw on a substantial body of theoretical and empirical research on 3D virtual simulation technology, digital twin modeling, and geospatial data mining in smart sustainable city governance and ...management. With increasing evidence of spatial computing technology, digital twin modeling, multi-sensor environmental data fusion, there is an essential demand for comprehending whether digital twin modeling integrate geospatial data mining and urban cloud data. In this research, prior findings were cumulated indicating that virtual simulation tools, urban sensing technologies, and digital twin networks enable smart city environments. We carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout March 2022, with search terms including “smart sustainable city governance and management” + “3D virtual simulation technology,” “digital twin modeling,” and “geospatial data mining.” As we analyzed research published in 2022, only 186 papers met the eligibility criteria. By removing controversial or unclear findings (scanty/unimportant data), results unsupported by replication, undetailed content, or papers having quite similar titles, we decided on 34, chiefly empirical, sources. Data visualization tools: Dimensions (bibliometric map- ping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Distiller SR, ROBIS, and SRDR.
This paper attempts to offer the reader a consistent overview of P-RNAV and also of other variations of Area Navigation and its role and possibilities in European Airspace. An interesting question ...is, if it has any chance in fragmented European ATM System. Possibilities in countries like Slovak Republic are also mentioned.
The particle detector based on a low concentration 4H-SiC epitaxial layer shows promising properties for the detection of various types of ionizing radiation. The wide bandgap energy of the 4H-SiC ...semiconductor material (3.23 eV at room temperature) allows the detector to operate reliably at room temperature and at elevated temperatures up to several hundred degrees Celsius. The 80 >m thick 4H-SiC epitaxial layer grown on a 350 >m 4H-SiC substrate was used for detector preparation. The active area of the detector was defined by a 3 mm Schottky contact. The current-voltage measurement shows a reverse current of less than 30 pA up to 1000 V. Capacitance-voltage measurements show that the epitaxial layer is completely depleted at bias voltages above 250 V. The detector has been tested with neutrons of energies from 370 keV up to 14.9 MeV. Neutrons were produced by three nuclear reactions p-T, d-D and d-T. The measured spectra clearly identified the elastic and inelastic scattering at silicon and carbon atoms of detector material.
This paper deals with the GNSS signal interference measurement using a flight laboratory. As currently, GNSS technology is used extensively in different areas, whether it is for localization ...purposes, accurate time source, or intelligent transport systems, GNSS signal interference can cause serious damage, even threatening people’s lives. Despite the continued development of technologies and the development of GNSS services, its failure cannot be ruled out. When measuring and identifying GNSS interference, it is necessary to focus on the problem that arises when locating interference during flight. In the paper, the authors focus on identifying and defining individual types of interference and their classification with respect to their nature, while they attempt to describe the measurement procedure methodically, listing the necessary technical equipment for successful task fulfilment of identifying and measuring the source of GNSS signal interference.
Despite the relevance of algorithm-driven sensing devices and connected vehicle data in smart transportation networks, only limited research has been conducted on this topic. Using and replicating ...data from APA, INRIX, Ipsos, Jones Day, Management Events, Nvidia, and Reuters, we performed analyses and made estimates regarding autonomous vehicle performance and intelligent sensor systems. The results of a study based on data collected from 6,800 respondents provide support for our research model. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.
Aims
Heart failure with reduced ejection fraction (HFrEF) poses significant challenges for clinicians and researchers, owing to its multifaceted aetiology and complex treatment regimens. In light of ...this, artificial intelligence methods offer an innovative approach to identifying relationships within complex clinical datasets. Our study aims to explore the potential for machine learning algorithms to provide deeper insights into datasets of HFrEF patients.
Methods
To this end, we analysed a cohort of 386 HFrEF patients who had been initiated on sodium‐glucose co‐transporter‐2 inhibitor treatment and had completed a minimum of a 6‐month follow‐up.
Results
In traditional frequentist statistical analyses, patients receiving the highest doses of beta‐blockers (BBs) (chi‐square test, P = .036) and those newly initiated on sacubitril‐valsartan (chi‐square test, P = .023) showed better outcomes. However, none of these pharmacological features stood out as independent predictors of improved outcomes in the Cox proportional hazards model. In contrast, when employing eXtreme Gradient Boosting (XGBoost) algorithms in conjunction with the data using Shapley additive explanations (SHAP), we identified several models with significant predictive power. The XGBoost algorithm inherently accommodates non‐linear distribution, multicollinearity and confounding. Within this framework, pharmacological categories like ‘newly initiated treatment with sacubitril/valsartan’ and ‘BB dose escalation’ emerged as strong predictors of long‐term outcomes.
Conclusions
In this manuscript, we not only emphasize the strengths of this machine learning approach but also discuss its potential limitations and the risk of identifying statistically significant yet clinically irrelevant predictors.
At present, one of the most frequently discussed topics, not only at international conferences, but also within the EU, is the issue of airport financing, as well as the thresholds at which airports ...can cover their operational costs and when the need for support is justified. The Strategic Airport Development Plan and the Airport Business Plan are one of the most important support documents for making the right decision for airport financing and prepare the project for operational and investment aid. For preparing these documents is significant the category of the airport, that means the number of passengers. This paper is focused on the methodology how can be predict the number of passengers from previous data by used the time series method.
A radiation hardness study of semi-insulating GaAs detectors against 5 MeV electrons is presented in this paper. The influence of cumulative dose in the range from 136 up to 2000 kGy on ...alpha-spectrometry of 241Am is evaluated for investigated detectors. The characterising parameter, the charge collection efficiency, was negatively affected by cumulative dose applied. At 200 V detector reverse bias it rapidly decreased from initial 45% it to 15% at 600 kGy proceeding with mild deterioration down to 6% at2000 kGy. The operability of detector was well preserved through whole range of doses. The alpha- and gamma-spectrometry of the same radioactive source are compared.
PDF
