rss_2.0International Journal of Advanced Statistics and IT&C for Economics and Life Sciences FeedSciendo RSS Feed for International Journal of Advanced Statistics and IT&C for Economics and Life Scienceshttps://sciendo.com/journal/IJASITELShttps://www.sciendo.comInternational Journal of Advanced Statistics and IT&C for Economics and Life Sciences Feedhttps://sciendo-parsed.s3.eu-central-1.amazonaws.com/658228e979f7550bc9ea06fa/cover-image.jpghttps://sciendo.com/journal/IJASITELS140216Fog Detection through Image Processing Methodshttps://sciendo.com/article/10.2478/ijasitels-2023-0004<abstract> <title style='display:none'>Abstract</title> <p>This paper presents a fog detection algorithm, highlighting the significance of continued exploration in fog identification through image processing techniques. The advancement and application of this algorithm can significantly benefit various domains, including road safety, environmental monitoring, navigation, security, surveillance, and improving existing systems’ performance. The evaluation performed on test images have shown an accuracy of 72%, a precision of 94%, a recall of 57% and an F1 score of 0.71. The proposed algorithm clearly outperformed some existing fog detection methods.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/ijasitels-2023-00042023-12-19T00:00:00.000+00:00Sentiment Analysis Using Bert Modelhttps://sciendo.com/article/10.2478/ijasitels-2023-0007<abstract> <title style='display:none'>Abstract</title> <p>The topic of this presentation entails a comprehensive investigation of our sentiment analysis algorithm. The document provides a thorough examination of its theoretical underpinnings, meticulous assessment criteria, consequential findings, and an enlightening comparative analysis. Our system makes a substantial contribution to the field of sentiment analysis by using advanced techniques based on deep learning and state-of-the-art architectures.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/ijasitels-2023-00072023-12-19T00:00:00.000+00:00Different Chopper Types for Supply Separately Excited DC Motorhttps://sciendo.com/article/10.2478/ijasitels-2023-0003<abstract> <title style='display:none'>Abstract</title> <p>Nowadays saving the planet’s resources plays a very important role in improving our life conditions. The purpose of the paper is to supply the separately excited dc motor by using different chopper circuits. A very sustainable solution is to replace the resistors from classic theory with dc choppers for better efficiency. The armature voltage can be controlled by using IGBT chopper and the PWM signal received from controller is done with a dedicated block created by MATLAB environment. The advantages of developing this technique are that the speed changes proportionally with armature voltage and inversely with field voltage by keeping field and armature voltage constant respectively. The chopper designed with IGBT and Diode modules offers good control at any frequency value and the speed, the armature current and electromagnetic torque of DC motor can be control. In this paper, different choppers had been simulating were working in four quadrants for supply an excited dc motor by using Matlab program.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/ijasitels-2023-00032023-12-19T00:00:00.000+00:00An Overview on Sound Features in Time and Frequency Domainhttps://sciendo.com/article/10.2478/ijasitels-2023-0006<abstract> <title style='display:none'>Abstract</title> <p>Sound is the result of mechanical vibrations that set air molecules in motion, causing variations in air pressure that propagate as pressure waves. Represented as waveforms, these visual snapshots of sound reveal some of its characteristics. While waveform analysis offers limited insights, audio features provide a quantitative and structured way to describe sound, enabling data-driven analysis and interpretation. Different audio features capture various aspects of sound, facilitating a comprehensive understanding of the audio data. By leveraging audio features, machine learning models can be trained to recognize patterns, classify sounds, or make predictions, enabling the development of intelligent audio systems. Time-domain features, e.g., amplitude envelope, capture events from raw audio waveforms. Frequency domain features, like band energy ratio and spectral centroid, focus on frequency components, providing distinct information. In this paper, we will describe three time-domain and three frequency-domain features that we consider crucial and widely used. We will illustrate the suitability of each feature for specific tasks and draw general conclusions regarding the significance of sound features in the context of machine learning.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/ijasitels-2023-00062023-12-19T00:00:00.000+00:00Simulink implementation of the open-loop scalar command for a three-phase induction machine modelhttps://sciendo.com/article/10.2478/ijasitels-2023-0002<abstract> <title style='display:none'>Abstract</title> <p>This paper describes step by step the modelling and simulation of the open loop scalar command for a three-phase induction machine with known parameters, which operates in motor regime. In order to change the electromagnetic torque and implicitly the rotor speed, in this paper the solution of applying a positive mechanical torque from outside the machine was chosen, without dynamically adjusting the supply voltage. The chosen mathematical model for the induction machine is the one described by Krause’s equations, written in a stationary reference frame. The simulations were done on the Matlab/Simulink simulation environment and the behaviour of the machine was monitored under the working conditions listed above.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/ijasitels-2023-00022023-12-19T00:00:00.000+00:00Implementation of a weather station to monitor agricultural cropshttps://sciendo.com/article/10.2478/ijasitels-2023-0005<abstract> <title style='display:none'>Abstract</title> <p>Various studies on local crop monitoring are presented in the literature, however there is insufficient research on low-cost IoT weather stations that can obtain weather information over a long period of time. To overcome the difficulties described above, this paper proposes the development of an IoT weather station for low-cost, sustainable and multi-functional agricultural crop monitoring.</p> <p>The objective of the work is to develop a local weather observation device for agricultural crops, to set up a server for storing and providing meteorological information and to perform an analysis of the acquired weather data.</p> <p>The weather station architecture developed and proposed in this project consists of four main blocks: sensor and controller module, power module, local data storage module and data communication module (gateway).</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/ijasitels-2023-00052023-12-19T00:00:00.000+00:00A Categorical Metamodel for Reactive Kripke Frameshttps://sciendo.com/article/10.2478/ijasitels-2023-0001<abstract> <title style='display:none'>Abstract</title> <p>In a reactive Kripke model, evaluation of logical operators can cause reconfiguration of the model in which the formula is evaluated. Therefore, in reactive Kripke frames, the evaluation of a logical formula in a world depends both on the world in which the evaluation is made and on the worlds it has passed through previously. The result is an extended semantics, which can specify a class of modal logics more comprehensive than the class specified by ordinary Kripke frames. This paper introduces a metamodel for reactive Kripke frames, based on the concept of categorical sketch. We believe that the categorical sketch is an appropriate metamodel for specifying a Kripke frame model.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/ijasitels-2023-00012023-12-19T00:00:00.000+00:00Methods for data validation using QR codeshttps://sciendo.com/article/10.2478/ijasitels-2023-0008<abstract> <title style='display:none'>Abstract</title> <p>This article aims to elaborate on a few strategies designed for validating data encoded as a QR code. As the use-cases for such validation schemes vary widely as the demand for such practices is continuously increasing, the present article will represent a comparative study of checksum, hashing, as well as asymmetric encryption algorithms for the offline validation of claims transmitted through the payload of the exchanged data. Results are evaluated based on different criteria impacting the reliability, such as the size of the QR code and the resulting security.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/ijasitels-2023-00082023-12-19T00:00:00.000+00:00DBSCAN Algorithm for Document Clusteringhttps://sciendo.com/article/10.2478/ijasitels-2019-0007<abstract><title style='display:none'>Abstract</title><p>Document clustering is a problem of automatically grouping similar document into categories based on some similarity metrics. Almost all available data, usually on the web, are unclassified so we need powerful clustering algorithms that work with these types of data. All common search engines return a list of pages relevant to the user query. This list needs to be generated fast and as correct as possible. For this type of problems, because the web pages are unclassified, we need powerful clustering algorithms. In this paper we present a clustering algorithm called DBSCAN – Density-Based Spatial Clustering of Applications with Noise – and its limitations on documents (or web pages) clustering. Documents are represented using the “bag-of-words” representation (word occurrence frequency). For this type o representation usually a lot of algorithms fail. In this paper we use Information Gain as feature selection method and evaluate the DBSCAN algorithm by its capacity to integrate in the clusters all the samples from the dataset.</p></abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/ijasitels-2019-00072020-03-20T00:00:00.000+00:00Suggest Recommendation for Library Users Using Graphshttps://sciendo.com/article/10.2478/ijasitels-2019-0005<abstract><title style='display:none'>Abstract</title><p>The aim of this paper is to prove the usefulness of graphs in solving an ever-present problem for library users: finding books they like and they are looking for. Graphs are known as an important tool in solving conditioned optimization problems. We propose a graph-based system of recommendation which can be easy used in a library for assisting and helping users in finding in real time the books they like. The main advantage of the proposed graph-based approach lies in the ease with which new data or even new entities from different sources are added to the graph without disturbing the entire system. The system uses the similarity scores in order to find the similarity between objects and to get the best recommendation for a user’s request. In the end, we will compare the results from used formulas..</p></abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/ijasitels-2019-00052020-03-20T00:00:00.000+00:00The Europeana Collections – Transylvanian Prints from the Collections of the National Museum of the Union from Alba Iuliahttps://sciendo.com/article/10.2478/ijasitels-2019-0004<abstract><title style='display:none'>Abstract</title><p>The Europeana Collections, inaugurated in 2008, represents the completion of an ambitious project intended to be a journey and an instrument for the access to the culture, the history and the identity of the Europeans. Nowadays, Europeana contains in its collections more than 58 million digital units, organized on domains and themes, from art works, artefacts and books to movies and music. The patrimony of the Europeana enriches yearly and constantly by the contribution of the European Member States, as response to the common aspiration to open the access to knowledge beyond the national or territorial borders. The Europeana Project represents the implementation by digitization of a set of standards and of a unitary approach on the valorisation by digitization of the patrimony of the European states. The country reports reflect the most accurate the measures and the achievements of each contributing state to Europeana. Therefore, the Romanian report – a document updated in January 2019 – presents punctually the achievements of our country and of the Romanian institutions contributing to the enrichment of the Europeana collections. The list of the contributors contains, next to the names of well-known libraries, the name of the National Museum of the Union from Alba Iulia, with 986 digital units. Related to the field of the prints, the National Museum of the Union is not a direct contributor, but its collections are uploaded by other contributors. The National Museum of the Union has a remarkable and extremely valuable collection of Transylvanian books, mainly printed in Cluj during the 18th century. There are 78 titles with a preponderantly religious, juridical and educational content, representing an important segment of the national cultural heritage. The present paper aims to approach the above mentioned works and to identify them in the Europeana collections.</p></abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/ijasitels-2019-00042020-03-20T00:00:00.000+00:00Digital Risks. Case Study on Digitization Projects of the LBUS Libraryhttps://sciendo.com/article/10.2478/ijasitels-2019-0003<abstract><title style='display:none'>Abstract</title><p>Digital technologies changed all the social life domains in society, as we are now living in the digital era, in the information society or in an interconnected world. Besides the improvements in every day life, digital changes also brought inherent risks, from cyber-security, hacking, cyber-bullying, to the vulnerability of personal data, or the mental health consequences of information explosion.</p><p>This article reviews the risks of the changes brought by the digital transformation on libraries in general, with examples of the LBUS Library, drawing from the last 10 years of development experience of informatic book management systems (electronic catalogue) and of the digital library system. A group of library experts took part in local cultural projects promoting the city of Sibiu, as well as in four major European projects focusing on “Europeana”, and developing highly valuable cultural, historical, and scientific digital collections. As relatively new and highly complex technical activities comprising a high volume of new information, the management of these projects also posed risks related to decision-making and to choosing the best solutions to ensure their success. We have identified and highlighted the major risks.</p></abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/ijasitels-2019-00032020-03-20T00:00:00.000+00:00Study on the Mapping of Research Data in the Republic of Moldova in the Context of Open Sciencehttps://sciendo.com/article/10.2478/ijasitels-2019-0002<abstract><title style='display:none'>Abstract</title><p>The Open Science concept represents a new approach to the way in which scientific research based on cooperation and new ways of knowledge dissemination is carried out and organized, using new digital technologies, new tools for collaboration, and R&amp;D infrastructure to ensure open access to research data.</p><p>This study uses data collected in May - July 2018 within a survey that aimed at investigating the scientific data ecosystem in the Republic of Moldova. Findings show that, although there are some concerns about the loss of property rights and copyright infringement in case of sharing and open access to research data, Moldovan academia is ready to provide access to research data. The research has highlighted that a new challenge is needed to solve scientific data issues by creating new type of infrastructure to ensure data retention, broad access to research results for the purpose of their dissemination and use, and creating new research opportunities based on research data.</p></abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/ijasitels-2019-00022020-03-20T00:00:00.000+00:00Understanding Romanian Texts by Using Gamification Methodshttps://sciendo.com/article/10.2478/ijasitels-2019-0006<abstract><title style='display:none'>Abstract</title><p>In recent years, there has been increasing interest in the field of natural language processing. Determining which syntactic function is right for a specific word is an important task in this field, being useful for a variety of applications like understanding texts, automatic translation and question-answering applications and even in e-learning systems. In the Romanian language, this is an even harder task because of the complexity of the grammar. The present paper falls within the field of “Natural Language Processing”, but it also blends with other concepts such as “Gamification”, “Social Choice Theory” and “Wisdom of the Crowd”. There are two main purposes for developing the application in this paper:</p><p>a) For students to have at their disposal some support through which they can deepen their knowledge about the syntactic functions of the parts of speech, a knowledge that they have accumulated during the teaching hours at school</p><p>b) For collecting data about how the students make their choices, how do they know which grammar role is correct for a specific word, these data being primordial for replicating the learning process</p></abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/ijasitels-2019-00062020-03-20T00:00:00.000+00:00Library and Information Science Vis-À-Vis Web Science in the Light of the OECD Fields of Science and Technology Classificationhttps://sciendo.com/article/10.2478/ijasitels-2019-0001<abstract><title style='display:none'>Abstract</title><p><bold>Aims:</bold> The paper focuses on the methodological frames of Library and Information Sciences vis-à-vis Web Science in the light of the OECD Fields of Science and Technology Classification. The roots of Library Science and Information Science in Humanities and Social Sciences are described. The technological revolution which took place during and after World War II enabled the development of a new mathematics- and engineering-oriented environment for information. On this basis such new research areas like Web Science emerged. It led to a change towards an interdisciplinary character of Information Science. Method: The OECD Fields of Science and Technology Classification was analysed from the point of view of the Library and Information Science’s place in this classification.</p><p><bold>Solutions:</bold> In the OECD Fields of Science and Technology Classification Library Science has its independent place within Social Sciences while Information Science is dispersed between three main sections. It confirms the interdisciplinary character of Information Science and sets up its name as a superior covering traditional Information Science and all of new mathematics- and engineering- based research areas dealing with information. Although the name Web Science is not mentioned in this classification, we can assume that it is a sub-discipline of Information Science in the light of the OECD classification. Polish implications are mentioned.</p></abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/ijasitels-2019-00012020-03-20T00:00:00.000+00:00In search for the simplest example that proves Huffman coding overperforms Shannon-Fano codinghttps://sciendo.com/article/10.2478/ijasitels-2022-0001<abstract> <title style='display:none'>Abstract</title> <p>Shannon-Fano coding (SFC) and Huffman coding (HC) are classic and well-known algorithms, but still in use today. The search for the simplest example that proves HC overperforms SFC is still of interest. The problem is not as trivial as it looks like at first view because of several decisions that must be considered. We perform a full-search of the stream data space for a maximum stream length of 100. Depending on additional requests we impose, the simplest solution we found is {1,1,1,1,3} when we accept to select a specific cutting, {2,3,3,3,7} when we accept only deterministic (unique) cuttings and {4,5,6,7,14} when we also ask for different frequencies for symbols as well.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/ijasitels-2022-00012023-01-05T00:00:00.000+00:00An empirical study of large transportation networks and solutions for the cost optimizationhttps://sciendo.com/article/10.2478/ijasitels-2022-0007<abstract> <title style='display:none'>Abstract</title> <p>We all know how important transportation is nowadays - from one street to another, from one city to another, from one county to another, from one region to another, from one country to another, from one continent to another and this list can go on with examples. The question we ask ourselves is: Can we find a better way? A better solution? A more accurate way? A more efficient, faster route to travel? All things take more or less time. All journeys matter. Whether you’re going for a walk, on a trip, stuck in traffic on your way to work, have a small business and want to save money on bills, or you are one of the world’s biggest entrepreneurs, for all of us, every second matters. That is why our transport, or our things, goods and so on, must be as efficient, accurate, correctly planned as possible, but at the same time safe. Nowadays, when everything is in a very accelerated continuous evolution, the efficiency and speed of achieving our goals are very important. There is a lot of emphasis on as little wasted time as possible and as many successes as possible. The expected productivity can only be achieved if all transport features are worked out with great care. Every little detail must be considered, mathematically, computationally, logically and chronologically, so that the overall result is the best, the most suitable, the most efficient for our problem.</p> <p>This work aims to study some examples of transport networks, following their advantages and limitations, and looks for all kinds of solutions, ideas to improve and optimize their costs. We tested two existing applications on some large datasets (Section 2 and Section 3).</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/ijasitels-2022-00072023-01-05T00:00:00.000+00:00How Metaverse will influence Industrial Innovation (Extended Abstract SID2022)https://sciendo.com/article/10.2478/ijasitels-2022-0006<abstract> <title style='display:none'>Abstract</title> <p>This paper will explore how Metaverse will facilitate the acceleration of industrial innovation and help the industry digitalize their global high-volume manufacturing environment. The authors conducted a live workshop (with around 30 participants) as part of the international conference Sibiu Innovation Days 2022. The workshop’s proceedings and output is described here below.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/ijasitels-2022-00062023-01-05T00:00:00.000+00:00The Positive Effects of Video Games on the Human Mindhttps://sciendo.com/article/10.2478/ijasitels-2022-0004<abstract> <title style='display:none'>Abstract</title> <p>In order to gain insight into how to create a successful game, a developer should learn about the end user of the product, the player. For this exact reason, there must be a deeper understanding of the effects games can have on the one who plays them. The main question addressed in this paper is “How can the games positively affect the player on a psychological and emotional level?”. This question has been divided into 3 different sub-question. To answer them, a combination of thematic analysis and literature study was used. Multiple studies have been previously made on the relationship between video games and the human mind, either focusing on the negative or on the positive effects. This paper has a new approach, consisting of dividing the benefits into categories determined by the main reason a player chooses to play games. The main 6 categories were established empirically, and 200 answers were arranged under the category most fitting for each. A total of 14 benefits were found for the previously mentioned categories. Additionally, 5 less noticeable benefits have been included into a new category.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/ijasitels-2022-00042023-01-05T00:00:00.000+00:00Data, governance and tackling the “tragedy of the commons”https://sciendo.com/article/10.2478/ijasitels-2022-0003<abstract> <title style='display:none'>Abstract</title> <p>The purpose of this paper is to highlight the importance of active and continued public engagement in the debate regarding the regulation of artificial intelligence (AI). The results of several studies are presented, in reference to the benefits of this technology, its risks and limitations, and the shortcomings of traditional and hybrid approaches. Certain conceptual and practical approaches are presented, that aim to facilitate the participation of citizens and other stakeholders in the decision-making process of AI governance.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/ijasitels-2022-00032023-01-05T00:00:00.000+00:00en-us-1