scholarly journals Simulating Airline Behavior: Application for the Australian Domestic Market

2019 ◽  
Vol 2673 (2) ◽  
pp. 104-112 ◽  
Author(s):  
Khan Doyme ◽  
Lynnette Dray ◽  
Aidan O’Sullivan ◽  
Andreas Schäfer
Keyword(s):  
Market Share ◽  
Real World ◽  
Real Data ◽  
Noncooperative Game ◽  
Test Case ◽  
Decision Variables ◽  
The World ◽  
Flight Frequency ◽  
Passenger Flows ◽  
Successive Optimization

This paper demonstrates the ability of a model, which simulates competition between airlines in a domestic aviation market, to accurately reproduce real-world behavior. The Australian market was chosen as a test case as it is a geographically isolated region with significant demand and complexity, including one of the busiest routes in the world, where connecting international passengers do not significantly skew the market. The model is based on an n-player noncooperative game, in which each airline represents a player within the game. The primary assumption is that each airline attempts to maximize profits by adjusting the decision variables of airfares, flight frequency, and choice of aircraft on routes within its network. The approach works iteratively, allowing each airline to respond to the decisions made by other airlines during each successive optimization. The model is said to reach convergence when there is no significant change in any airline’s profit from one iteration to the next. Once this occurs, the predictions of each airline’s decision variables can be compared with real data. The model gives highly detailed predictions of airline specific airfares, flight frequencies on segments, passenger flows, and airline market share, which strongly correlate with observed values.

scholarly journals Financial and Non-Financial Applications of Blockchain

2020 ◽  
Vol 9 (6) ◽  
pp. 1050-1054
Keyword(s):  
Market Share ◽  
Real World ◽  
The Other ◽  
Huge Number ◽  
The Real ◽  
Financial Applications ◽  
The World ◽  
The Future

There are hundreds of technologies today. Companies and brands continuously try to create and bring something innovative in the market to attract consumers to them in order to get a rise in market share. In the world where people have started getting used to hundreds of technologies, if asked about those which have affected them the most in last ten to twelve years, no one will miss mentioning blockchain. Blockchain has gained very much popularity after the introduction of bitcoin and ethereum in its environment. Blockchain mainly has two types of functionalities. One that involves transactions and the other which talks about contracts. This work highlights some of the very much talked about applications of this technology in the real world. The work also considers various factors and methods by which this technology can be introduced to the audience by suggesting ways in which blockchain can be introduced in the lives. Discussion on how this technology can affect human lives in the future is also an important part of this paper. Because blockchain has huge number of applications that the paper has tried to inculcate, it can be a technology of future which many scientists and industrialists have already started to believe. That is why this work finds a unique and all in one collection of applications and possibilities of Blockchain.

scholarly journals AnANN Model Trained on Regional Data in the Prediction of Particular Weather Conditions

2021 ◽  
Vol 11 (11) ◽  
pp. 4757
Author(s):  
Aleksandra Bączkiewicz ◽  
Jarosław Wątróbski ◽  
Wojciech Sałabun ◽  
Joanna Kołodziejczyk
Keyword(s):  
Atmospheric Pressure ◽  
Real Life ◽  
Real Data ◽  
Weather Conditions ◽  
Maximum Temperature ◽  
Air Masses ◽  
Weather Forecasts ◽  
Life Problems ◽  
The World ◽  
The City

Artificial Neural Networks (ANNs) have proven to be a powerful tool for solving a wide variety of real-life problems. The possibility of using them for forecasting phenomena occurring in nature, especially weather indicators, has been widely discussed. However, the various areas of the world differ in terms of their difficulty and ability in preparing accurate weather forecasts. Poland lies in a zone with a moderate transition climate, which is characterized by seasonality and the inflow of many types of air masses from different directions, which, combined with the compound terrain, causes climate variability and makes it difficult to accurately predict the weather. For this reason, it is necessary to adapt the model to the prediction of weather conditions and verify its effectiveness on real data. The principal aim of this study is to present the use of a regressive model based on a unidirectional multilayer neural network, also called a Multilayer Perceptron (MLP), to predict selected weather indicators for the city of Szczecin in Poland. The forecast of the model we implemented was effective in determining the daily parameters at 96% compliance with the actual measurements for the prediction of the minimum and maximum temperature for the next day and 83.27% for the prediction of atmospheric pressure.

scholarly journals Wealth Rheology

Entropy ◽  
2021 ◽  
Vol 23 (7) ◽  
pp. 842
Author(s):  
Zdzislaw Burda ◽  
Malgorzata J. Krawczyk ◽  
Krzysztof Malarz ◽  
Malgorzata Snarska
Keyword(s):  
Exchange Rate ◽  
Simple Model ◽  
Real Data ◽  
Ranking List ◽  
Kendall’S Τ ◽  
The World ◽  
The Usa ◽  
Overlap Ratio ◽  
Growth Volatility ◽  
Wealth Rank

We study wealth rank correlations in a simple model of macroeconomy. To quantify rank correlations between wealth rankings at different times, we use Kendall’s τ and Spearman’s ρ, Goodman–Kruskal’s γ, and the lists’ overlap ratio. We show that the dynamics of wealth flow and the speed of reshuffling in the ranking list depend on parameters of the model controlling the wealth exchange rate and the wealth growth volatility. As an example of the rheology of wealth in real data, we analyze the lists of the richest people in Poland, Germany, the USA and the world.

scholarly journals Handrails through the Swamp? A Pilot to Test the Integration and Implementation Science Framework in Complex Real-World Research

2021 ◽  
Vol 13 (10) ◽  
pp. 5491
Author(s):  
Melissa Robson-Williams ◽  
Bruce Small ◽  
Roger Robson-Williams ◽  
Nick Kirk
Keyword(s):  
Pilot Study ◽  
Case Studies ◽  
Implementation Science ◽  
Real World ◽  
Environmental Problems ◽  
Environmental Research ◽  
Integrative Framework ◽  
The World ◽  
Science Framework ◽  
Real World Problems

The socio-environmental challenges the world faces are ‘swamps’: situations that are messy, complex, and uncertain. The aim of this paper is to help disciplinary scientists navigate these swamps. To achieve this, the paper evaluates an integrative framework designed for researching complex real-world problems, the Integration and Implementation Science (i2S) framework. As a pilot study, we examine seven inter and transdisciplinary agri-environmental case studies against the concepts presented in the i2S framework, and we hypothesise that considering concepts in the i2S framework during the planning and delivery of agri-environmental research will increase the usefulness of the research for next users. We found that for the types of complex, real-world research done in the case studies, increasing attention to the i2S dimensions correlated with increased usefulness for the end users. We conclude that using the i2S framework could provide handrails for researchers, to help them navigate the swamps when engaging with the complexity of socio-environmental problems.

scholarly journals Improving the performance of a radio-frequency localization system in adverse outdoor applications

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Marcelo N. de Sousa ◽  
Ricardo Sant’Ana ◽  
Rigel P. Fernandes ◽  
Julio Cesar Duarte ◽  
José A. Apolinário ◽  
...  
Keyword(s):  
Random Forest ◽  
Ray Tracing ◽  
Real World ◽  
Practical Implication ◽  
Real Life ◽  
Simulated Data ◽  
Real Data ◽  
Gradient Boosting ◽  
Real World Data ◽  
Localization Accuracy

AbstractIn outdoor RF localization systems, particularly where line of sight can not be guaranteed or where multipath effects are severe, information about the terrain may improve the position estimate’s performance. Given the difficulties in obtaining real data, a ray-tracing fingerprint is a viable option. Nevertheless, although presenting good simulation results, the performance of systems trained with simulated features only suffer degradation when employed to process real-life data. This work intends to improve the localization accuracy when using ray-tracing fingerprints and a few field data obtained from an adverse environment where a large number of measurements is not an option. We employ a machine learning (ML) algorithm to explore the multipath information. We selected algorithms random forest and gradient boosting; both considered efficient tools in the literature. In a strict simulation scenario (simulated data for training, validating, and testing), we obtained the same good results found in the literature (error around 2 m). In a real-world system (simulated data for training, real data for validating and testing), both ML algorithms resulted in a mean positioning error around 100 ,m. We have also obtained experimental results for noisy (artificially added Gaussian noise) and mismatched (with a null subset of) features. From the simulations carried out in this work, our study revealed that enhancing the ML model with a few real-world data improves localization’s overall performance. From the machine ML algorithms employed herein, we also observed that, under noisy conditions, the random forest algorithm achieved a slightly better result than the gradient boosting algorithm. However, they achieved similar results in a mismatch experiment. This work’s practical implication is that multipath information, once rejected in old localization techniques, now represents a significant source of information whenever we have prior knowledge to train the ML algorithm.

3D Technology – Additive Manufacturing Applications and Prospects (Vol. 24, No. 9, Full Issue)

2020 ◽  
Vol 24 (09) ◽  
Keyword(s):  
Additive Manufacturing ◽  
3D Printing ◽  
Environmental Impact ◽  
Real World ◽  
Vaccine Development ◽  
Health Screening ◽  
Wide Range ◽  
The World ◽  
Real World Applications ◽  
Manufacturing Applications

For the month of September 2020, APBN dives into the world of 3D printing and its wide range of real-world applications. Keeping our focus on the topic of the year, the COVID-19 pandemic, we explore the environmental impact of the global outbreak as well as gain insight to the top 5 vaccine platforms used in vaccine development. Discover more about technological advancements and how it is assisting innovation in geriatric health screening.

SOCIOLOGICAL PROBLEMS OF RITUAL: SOME REFLECTIONS

2021 ◽  
Vol 74 (2) ◽  
pp. 67-71
Author(s):  
Zh.K. Madalieva ◽  
Keyword(s):  
Social Action ◽  
Real World ◽  
Symbolic Meaning ◽  
Traditional Society ◽  
Social Functions ◽  
Individual Life ◽  
Human Community ◽  
The Social ◽  
The World ◽  
Definition Of

The article discusses in detail the essence and meaning of ritual as a social action. The study of the nature of this phenomenon involves, first of all, the study of various approaches to the definition of the concept of "ritual" and related phenomena. Analyzing the existing definitions, the author comes to the conclusion that "ritual" is a certain set of actions that have symbolic meaning. The symbolism of the ritual is manifested in its connecting role with the world of the sacred, sacred. The article emphasizes that in the consciousness of a person in a traditional society, the sacred world is present in the real world through ritual. As an archaic form of culture, ritual was also a way of regulating and maintaining collective life. The ritual served as a means of integrating and maintaining the integrity of the human community, giving it stability. Therefore, the article focuses on the social functions of the ritual in both public and individual life.

Multiple original spellings, living authors and the Code: The case of Malachius raniansis Mawlood, Hammamurad & Abdulla, 2017 (Coleoptera: Melyridae)

Zootaxa ◽  
2021 ◽  
Vol 4927 (2) ◽  
pp. 297-300
Author(s):  
ISIDOR S. PLONSKI
Keyword(s):  
Real World ◽  
Zoological Nomenclature ◽  
International Code ◽  
Present Communication ◽  
The Real ◽  
The World

The present communication is primarily nomenclaturial–classical taxonomy is only touched in a side note on a diagnosis. It uses technical terminology coined by Alain Dubois, who is interested in the study of the concepts and theory of biological nomenclature (i.e. the “objective connection between the real world of populations of organisms and the world of language” (Dubois & Ohler 1997)), and who discusses the current ‘International Code for Zoological Nomenclature’ [hereafter just called ‘the Code’] in great detail. The terms are explained where necessary–but see also the glossaries in Dubois et al. (2019) and the works by A. Dubois cited below. 

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