Algorithm for validating financial and economic web pages in terms of web content accessibility guidelines

PURPOSE: The purpose of the research is to present the algorithm for the validation of economic and financial websites, allowing to check the degree of accessibility of these websites in terms of WCAG standards with particular attention to people with disabilities and the elderly. The developed method is automatic and allows to obtain both a general score for the analyzed page and a detailed list of analyzed aspects.DESIGN/METHODOLOGY/APPROACH: A two-step needs analysis process was conducted to develop the algorithm. In the first phase, the literature was analyzed for selected aspects of accessibility particularly relevant to people with disabilities and the elderly.FINDINGS: The results made it possible to determine the general directions of the algorithm, which are particularly important for the mentioned users. The next stage was the analysis of selected aspects of the websites in the context of their relation to the groups of recipients and the possibilities of analysis by the algorithm. The result of this stage is a set of 9 aspects, within which the individual elements checked by the algorithm were dissected.PRACTICAL IMPLICATIONS: The results obtained indicate that the evaluation made by the algorithm coincides with the evaluation of the accessibility of the pages made by the experts. The algorithm allows us to quickly analyze web pages for accessibility and to detect general trends that characterize a given theme of pages. It allows to make general recommendations for improvements and good practices for building accessible pages according to WCAG recommendations.ORIGINALITY/VALUE: The algorithm created is a proprietary project that allows the automatic evaluation of websites. It is based on 9 aspects that make up websites, with the possibility of expanding to more. It can be used to supplement expert knowledge or be used as a general tool to inform about the state of accessibility for a given page.The work of Eryka Probierz was supported in part by the European Union through the European Social Fund as a scholarship under Grant POWR.03.02.00-00- I029, and in part by the Silesian University of Technology (SUT) through the subsidy for maintaining and developing the research potential grant in 2021 for young researchers in analysis (02/060/BKM21/0027).peer-reviewe

Multimedia Firearms Training System

The goal of the article is to present a novel Multimedia Firearms Training System. The system was developed in order to compensate for major problems of existing shooting training systems. The designed and implemented solution can be characterized by five major advantages: algorithm for automatic geometric calibration, algorithm of photometric recalibration, firearms hit point detection using thermal imaging camera, IR laser spot tracking algorithm for after action review analysis, and implementation of ballistics equations. The combination of the abovementioned advantages in a single multimedia firearms training system creates a comprehensive solution for detecting and tracking of the target point usable for shooting training systems and improving intervention tactics of uniformed services. The introduced algorithms of geometric and photometric recalibration allow the use of economically viable commercially available projectors for systems that require long and intensive use without most of the negative impacts on color mapping of existing multi-projector multimedia shooting range systems. The article presents the results of the developed algorithms and their application in real training systems

Technological capabilities of virtual reality laboratories for the training of personnel of state security entities

PURPOSE: The objective of this article was to present the analyzes of the needs of state security entities in the context of training, with particular emphasis on the analysis of technological possibilities of virtual reality laboratories in line with the paradigm of digital training technologies.DESIGN/METHODOLOGY/APPROACH: Analysis of the well-known literature, the authors' experience of R&D and implementation in the area of security, requirements of state security entities and best practices in the field of digital training technologies were taken into account.FINDINGS: The result of the work is a set of identified features required for training systems for state security entities, in particular for training anti-terrorist and counter-terrorist activities.PRACTICAL IMPLICATIONS: Virtual solutions will not replace training on real equipment, however, they enable repetitive training in conditions similar to real ones, reducing training costs and enabling instructors to constantly increase the level of training difficulty. Taking into account the deficiencies in the infrastructure of uniformed and military services and the prevailing trend to develop training facilities and improve the competences of officers and soldiers at every level.ORIGINALITY/VALUE: It can be concluded that the presented solutions will have a positive impact on the level of interdisciplinary training in the field of planning, preparation, implementation and consequences of actions taken.peer-reviewe

Financial sentiment on Twitter's community and it's connection to Polish stock market movements in context of behavior modelling

PURPOSE: The paper analyzes the relationship between tweets published on social media related to the stock market and stock market movements. The research conducted aims to find patterns that may account for behavioral modelling patterns between social media and the stock market.DESIGN/METHODOLOGY/APPROACH: To conduct the research, 452,776 tweets containing a hashtag with the name of at least one company included in the WIG20 of the Polish stock market were analyzed. The data obtained also included information about the reach of the tweet and the popularity of the author. The analyzed text also contained a timestamp allowing the tweets to be linked to the behavior of the stock market. Additionally, the analysis implemented developed Polish financial sentiment analysis vocabularies allowing for better pattern retrieval.FINDINGS: The obtained results indicate that among the analyzed data, three patterns related to the sentiment of statements accompanying a given company in social media can be distinguished. A consistent sentiment present in many statements with a wide range is decisive. When different sentiments are present, the presence of a pattern is not identifiable. The implementation of Polish financial dictionaries allowed to distinguish also individual words characterizing positive and negative sentiment.PRACTICAL IMPLICATIONS: The results obtained can form the basis for further, more in-depth analyses between sentiment published in social media and stock market movements.ORIGINALITY/VALUE: Studies analyzing the relationship between the analysis of tweets and stock markets are conducted but analyses related to the Polish stock market are not a popular field of analysis. Due to the unique nature of each stock exchange, it is indicated to be innovative and to be able to emerge some patterns, useful in the context of investing.peer-reviewe

Innovative simulation systems

This monograph provides comprehensive guidelines on the current and future trends of innovative simulation systems. In particular, their important components, such as augmented reality and unmanned vehicles are presented. The book consists of three parts. Each part presents good practices, new methods, concepts of systems and new algorithms. Presented challenges and solutions are the results of research and conducted by the contributing authors. The book describes and evaluates the current state of knowledge in the field of innovative simulation systems. Throughout the chapters there are presented current issues and concepts of systems, technology, equipment, tools, research challenges and current, past and future applications of simulation systems. The book is addressed to a wide audience: academic staff, representatives of research institutions, employees of companies and government agencies as well as students and graduates of technical universities in the country and abroad. The book can be a valuable source of information for constructors and developers of innovative simulation systems and their components. Scientists and researchers involved in mechanics, control algorithms, image processing, computer vision, or data fusion can find many valuable suggestions and solutions

Dynamic time warping in financial data : modification of algorithm in context of stock market similarity analysis

PURPOSE: The purpose of this paper is to use Dynamic Time Warping algorithm along with two statistical tests, Fourier transform and Random permutation, to analyze the similarity of company charts based on stock market data.DESIGN/METHODOLOGY/APPROACH: The analyzed data from the Warsaw Stock Exchange will detect the similarity between different companies at different and the same time, and between different times for the same company. The research has been carried out based on data from the Warsaw Stock Exchange for selected companies on which DTW analysis has been performed, using AAiFT (Fourier transformations) and RP (Random permutations).FINDINGS: Obtained results indicate that it is possible to detect high similarity between charts by DTW and verify this similarity using statistical tests. Boundary conditions were indicated for the analyses performed and various analysis cases were investigated.PRACTICAL IMPLICATIONS: Conducted research reveals the relevance of the use of DTW in a financial context and the possibility of further development as a tool to support investing.ORIGINALITY/VALUE: Previous analyses using the DTW method have not included the use of statistical tests in the analysis of the resulting similarity. The use of such a solution is of particular importance in stock market data, allowing the analysis and detection of similarity, along with the determination of the probability of its occurrence.peer-reviewe

Overview of financial applications for investing on the stock exchange : regression models and sentiment analysis

PURPOSE: The aim of the review is to analyze the available investment applications that can be downloaded by Google or Apple in terms of available functionality.DESIGN/METHODOLOGY/APPROACH: Correlation and regression analyses were carried out on the obtained data. Next, aspects of the application that most often appear in reviews were distinguished and sentiment analysis was carried out.FINDINGS: The results obtained indicate an extremely important share of the specified functionalities of the application in its global evaluation, and allow for the presentation of specified aspects both in terms of sentiment and evaluation of the application.PRACTICAL IMPLICATIONS: The results of the study could be useful for developers and consumers of financial applications. For the first, the analyses carried out can point to directions of development that are particularly relevant. For the recipients, it is important to indicate the wide range of possibilities offered by the applications.ORIGINALITY/VALUE: The obtained results indicate the importance of analyzing individual application functionalities in order to understand the complexity of the problem of application evaluation in popular websites.Research was developed and funded in project POIR.01.01.01-00-0162/19 entitled "The WSE Data platform as an innovative system using artificial intelligence techniques to support investment decisions on the capisal market" co-financed by the European Regional Development Fund under the Intelligent Development Operational Programme.peer-reviewe