JournalTOCs

International Journal of Advanced Statistics and IT&C for Economics and Life Sciences
Number of Followers: 0

This is an Open Access Journal

Open Access journal
ISSN (Online) 2067-354X
Published by Sciendo

[389 journals]

The Positive Effects of Video Games on the Human Mind
- Abstract: 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.
  PubDate: Thu, 05 Jan 2023 00:00:00 GMT
How Metaverse will influence Industrial Innovation (Extended Abstract
SID2022)
- Abstract: 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.
  PubDate: Thu, 05 Jan 2023 00:00:00 GMT
Digital Competences and Digital Life in the Post Pandemic World
- Abstract: The authors of this paper are bringing a fresh look on the challenges and opportunities for the tech companies and the technical education institutions in the aftermath of the COVID-19 pandemic and the impact that this event had on the society on a global scale, for all demographic categories. As being the first pandemic, which had to be faced by the “digitized society”, during two or so years of physical distancing various challenges have arisen for our highly interconnected fast-paced and dynamic world, but in an equal manner, several opportunities and revelations were discovered amid the necessary sanitary measures. This material aims to highlight both the strong points and the weak points that our society has shown during the last few years, but also the highly interesting social and psychological studies resulted after these events.
  PubDate: Thu, 05 Jan 2023 00:00:00 GMT
In search for the simplest example that proves Huffman coding overperforms
Shannon-Fano coding
- Abstract: 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.
  PubDate: Thu, 05 Jan 2023 00:00:00 GMT
An empirical study of large transportation networks and solutions for the
cost optimization
- Abstract: 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.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).
  PubDate: Thu, 05 Jan 2023 00:00:00 GMT
Light intensity measurement using LabVIEW graphical programming
environment
- Abstract: Lighting and light distribution have a crucial influence on factors such as performance and occupational safety.This paper aims to create a virtual instrument (VI), developed around the Arduino Uno development platform, designed to measure the light intensity using the BPW34 sensitive silicon PIN photodiode. The reverse-biased photodiode can be used as a light detector by monitoring the current flowing through it. Coupled to a 10Kohm resistor and considering the specifications of the BPW34 model, a simple relationship is offered between lux (light intensity) and the voltage across the resistance. The virtual instrument reads this voltage and converts it to a light intensity value in Lux. There is also an alarming function if the light intensity exceeds the set value. The VI also shows basic statistics like Max, Mean, and Min light intensity values.
  PubDate: Thu, 05 Jan 2023 00:00:00 GMT
Modeling the base tests of monophase transformer
- Abstract: The paper develops a model created in Simscape – SIMULINK to study the monophase transformer behaviour. The equivalent circuit topology of a typical transformer needs to implement a procedure to determine the values for equivalent circuit elements based on performance criteria. The preliminary tests need in study of behaviour ‘s transformers are open-circuit and short-circuit tests.The paper implements a model realised with Simscape block offered by MATLAB library used for modelling the transformer ‘behaviour described on laboratory tests.
  PubDate: Thu, 05 Jan 2023 00:00:00 GMT
Data, governance and tackling the “tragedy of the commons”
- Abstract: 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.
  PubDate: Thu, 05 Jan 2023 00:00:00 GMT
Design Methodology and Tools in Factory of the Future
- Abstract: This paper presents a design method and tool developed to support the skill forming activities in the DigiFoF network (https://www.digifof.eu/). The focus is on training of manufacturing system design skills both as HEI education and vocational training, but preliminary design of new manufacturing systems is also supported (e.g in the development of small business process scenarios).We proposed a model-based methodology for solving of the manufacturing system design problems The methodology and the supporting tool are centred around a less abstract Domain-Specific Modelling Language (DSML). The language is easy to learn due to its few components.A modelling and simulation environment named Digital Production Planner Tool (DPPT) was generated from the metamodel of the DSML. The degree of abstraction used by this tool corresponds well to the intended use in training and preliminary design.Our method incorporates by design the possibility to impose constraints at the modelling language level to limit the modelling space to feasible/possible solutions. The resulting tool enforces these constraints in the use and supports the development of feasible designs even by inexperienced designers.The access to the conceptual model allows the translation of the model to other modelling language like Petri net. This extends the support for the design methodology.The whitepaper presents a use case for the developed method and tool: the design of a chocolate manufacturing line.
  PubDate: Thu, 30 Dec 2021 00:00:00 GMT
Key Success Factors for Smart City Construction
- Abstract: The Smart City is not a new concept. In fact, the digital city appeared in the information era and the wireless city emerged in the Internet era, but the Smart City had not been clearly defined until the digital era. Unlike traditional informatization, a Smart City is not simply the combination of informatization in all industries. Not only is a smart city a top-leadership project, it reshapes the digital capabilities of all industries in a city, while also addressing systematic challenges.This paper presents Huawei perspective on Smart City development, including the conceptual framework, governance, type, connectivity, structural enablers. The paper also describes the strategic vision and a Smart City construction path, from the strategic planning, solution design and implementation.
  PubDate: Thu, 30 Dec 2021 00:00:00 GMT
Filtering Random Valued Impulse Noise from Grayscale Images through
Support Vector Machine and Markov Chain
- Abstract: This paper presents a context-based filter to denoise grayscale images affected by random valued impulse noise. A support vector machine classifier is used for noise detection and two Markov filter variants are evaluated for their denoising capacity. The classifier needs to be trained on a set of training images. The experiments performed on another set of test images have shown that the support vector machine with the radial basis function kernel combined with the Markov+ filter is the best configuration, providing the highest noise detection accuracy. Our filter was compared with existing denoising methods, it being better on some images and comparable with them on others.
  PubDate: Thu, 30 Dec 2021 00:00:00 GMT
Industry X: Products for the Future
- Abstract: The authors of this paper are introducing a new concept for definition of the future of Industry 4.0 and are presenting details and characteristics of the concept Industry X regarding the current global digitalization of Automotive Industry. Starting from the Mechanical Age (Industry 1.0) and until the Digital Age (Industry 4.0) which is already ongoing, the authors are identifying and defining the shape of the nearby future through the so called “Quantum Age” or the next step in the Industrial Revolution: Industry X.
  PubDate: Thu, 30 Dec 2021 00:00:00 GMT
Using drone technology for preserving the economic sustainability of the
agricultural holdings
- Abstract: In the present era, precision agriculture, through the set of innovative technologies that it uses, allows to effectively manage the terrain, machinery, and input acquisition, considering the specific natural variation of the environmental conditions. One of such innovations is the unmanned aerial vehicle (drone) technology which has gained popularity and has been widely used in adopting efficient strategies for preserving the economic sustainability of the agricultural holdings. The need for an efficient management, the complex climatic, technological, economic, and biological changes that have recently occurred at the level of agro-systems impose a continuous and accurate knowledge of the growing production resources and the vegetation state in cultures. In this context, the article investigates a series of particularities regarding the use of geospatial and informational technology in the process of taking, storing, analysing, and interpreting them to optimize inputs, considering the state of the crops and the degree of soil supply in each relatively homogeneous area of the terrain..
  PubDate: Thu, 30 Dec 2021 00:00:00 GMT
Development of a smart clothing product using an Arduino platform
- Abstract: This paper presents a "smart" clothing product implemented as a jacket that contains sensors, a processing unit for display and interaction. The system has the ability to remotely read the data provided by the sensors, ensuring the monitoring of several parameters of the wearer.The following characteristics have been considered: body temperature and humidity, atmospheric temperature, pressure and altitude, the heart beat and number of steps converted into the number of calories consumed and traveled distance.The data is acquired and processed by an Arduino AT Mega 2560, via the I2C bus, digital ports and analog to digital converters, depending on the type of sensors. The processed information is printed on a 128x64 pixel display. To be able to view more pages of information, one can interact with the 4-key keyboard that has been connected to the digital input ports or through a proximity sensor, which will function as a gesture sensor.The processed information can also be accessed from a web server, built on the ESP8266 Wi-Fi module, connected to Arduino's TX/RX lines. A mobile phone or another device can connect to the Access Point and open a web page which displays the values of all sensors, as well as other information. The embedded system was inserted on a jacket and wired according to the sensors and modules usage.
  PubDate: Thu, 30 Dec 2021 00:00:00 GMT
Online assessment solution without in-person proctoring
- Abstract: Online assessment became an important part of the assessment of students after March 2020 in the COVID-Time. Traditional face-to-face evaluations were no more possible, therefore the use of solutions like Google Suite Educational became mandatory. In this paper we explore the strengths and weaknesses of some applications for student evaluation. Also, we will present a Web-based evaluation software that we have developed and which allows to schedule questions at random with a given time for students to answer the question and without the possibility to come back to a previous question.
  PubDate: Thu, 30 Dec 2021 00:00:00 GMT
FitPi: Wearable IoT solution for a daily smart life
- Abstract: The extensive implementation of Internet of Things (IoT) solutions and its wide popularity to the public over the past decade enabled emergent applications that provide sophisticated, proactive health care solutions that can improve the quality of life of individuals. This work proposes an IoT architecture and implements a prototype solution that allows its users to improve their physical activity by collecting vital signs using wearables and other environmental and habitual information in order to monitor their activity and propose behaviors in a smart way that will allow them to achieve their preset goals. The focus is on the increased usability of the system employing refined solutions like voice recognition and smart visualization to enable its seamless use while offering an interoperable architecture that will enhance its flexibility. The prototype implementation offers a proof of concept evaluation of the proposed system, applying state of the art technologies and using existing hardware and popular gadgets..
  PubDate: Thu, 24 Dec 2020 00:00:00 GMT
Reading in Research and Information Centres. Case Study of LBUS
- Abstract: The paper focuses of to open the minds of pupils and turn them to reading, teacher librarians must prepare pupils, bring them face to face with reading, situations, themes from each reading instance, so that they can analyze, describe, freely express themselves, using the right words to convey their thoughts, feelings, emotions, and compare the information they came across while reading with their own experiences, the situations they’ve lived through, thus anchoring them in daily reality.
  PubDate: Thu, 24 Dec 2020 00:00:00 GMT
Searching, Learning, Gaming - Engaging students with Europeana’s
digital archives
- Abstract: Mass digitisation of the collections held by cultural institutions -galleries, libraries, museums, archives, have made available a huge amount of historical, cultural, informational resources in digital format, which are more and more used in educational activities. This paper describes some innovative non- formal educational activities developed around the Europeana1914-1918 archive between 2014-2018, where searching in big digital archives, gaming and improving the digital skills were key aspects.
  PubDate: Thu, 24 Dec 2020 00:00:00 GMT
Part of Speech Tagging Using Hidden Markov Models
- Abstract: In this paper, we present a wide range of models based on less adaptive and adaptive approaches for a PoS tagging system. These parameters for the adaptive approach are based on the n-gram of the Hidden Markov Model, evaluated for bigram and trigram, and based on three different types of decoding method, in this case forward, backward, and bidirectional. We used the Brown Corpus for the training and the testing phase. The bidirectional trigram model almost reaches state of the art accuracy but is disadvantaged by the decoding speed time while the backward trigram reaches almost the same results with a way better decoding speed time. By these results, we can conclude that the decoding procedure it’s way better when it evaluates the sentence from the last word to the first word and although the backward trigram model is very good, we still recommend the bidirectional trigram model when we want good precision on real data.
  PubDate: Thu, 24 Dec 2020 00:00:00 GMT
Study of the influence of the exhaust line ultrasounds over the
performance of the Blind Spot Warning System
- Abstract: During the previous years, the vehicle manufacturers have tried to equip their vehicles with as much technology as possible, making the driving experience for people easier than ever. Most of the modern vehicles come today with ADAS (Advanced Driver Assistance Systems) either for driving (E.g. Cruise Control, Blind Spot Warning) or Parking (E.g. Rear Ultrasonic Sensors, Rear View Camera). Since the vehicle come equipped with more technology, a major task in developing vehicle remains the integration of these ADAS system in the vehicle context with the other components. Since most of the components cope with each other on the vehicle level, some technologies are more affected by other components – such as the case of an ultrasound vehicle scanning system (Blind Spot Warning) and the Exhaust line that emits ultrasounds from the exhaust muffler. The aim of this paper is to study the influence of the exhaust line ultrasounds (ultrasounds that are emitted by the engine cycle and filtered in the exhaust line of the vehicle) over the detection performance of the Blind Spot Warning Ultrasound system. Since vehicles are sold with a wide variety of powertrains, the solution presented took into account also these differences between powertrains equipped. In order to test the solution, mock-ups of the vehicle were made in order to proof the robustness of the method.
  PubDate: Thu, 24 Dec 2020 00:00:00 GMT