<abstract xmlns="http://www.w3.org/1999/xhtml">

This paper presents a design method and tool developed to support the skill forming activities in the DigiFoF network (<ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://www.digifof.eu/">https://www.digifof.eu/</ext-link>). 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.
</abstract>

Design Methodology and Tools in Factory of the Future

<abstract xmlns="http://www.w3.org/1999/xhtml">

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.
</abstract>

Development of a smart clothing product using an Arduino platform

<abstract xmlns="http://www.w3.org/1999/xhtml">

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.
</abstract>

Online assessment solution without in-person proctoring

<abstract xmlns="http://www.w3.org/1999/xhtml">

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.
</abstract>

Filtering Random Valued Impulse Noise from Grayscale Images through Support Vector Machine and Markov Chain

<abstract xmlns="http://www.w3.org/1999/xhtml">

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..
</abstract>

Using drone technology for preserving the economic sustainability of the agricultural holdings

<abstract xmlns="http://www.w3.org/1999/xhtml">

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.
</abstract>

Marquardt Schaltsysteme SCS, Research and Development Department

Marquardt Schaltsysteme SCS, Industrialization Department

Industry X: Products for the Future

<abstract xmlns="http://www.w3.org/1999/xhtml">

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.
</abstract>

Key Success Factors for Smart City Construction

AHEAD OF PRINT

Volume 13 (2023): Issue 1 (December 2023)

Volume 12 (2022): Issue 2 (December 2022)

Volume 11 (2021): Issue 1 (December 2021)

Volume 10 (2020): Issue 1 (December 2020)

Volume 9 (2019): Issue 1 (June 2019)

International Journal of Advanced Statistics and IT&C for Economics and Life Sciences

 Publishing House and Owner: Lucian Blaga University of Sibiu, Romania  The International Journal of Advanced Statistics and IT&amp;C for Economics and Life Sciences is a peer-reviewed journal that publishes original papers in all areas of information science and life sciences. The journal publishes high-quality, peer-reviewed articles. It emphasizes a balanced coverage of both theory and practice.  The main objectives are to provide a guide to the resources in science and technology and their impact on scientific research as well as to publish large valuable information form datasets and other results.   Main subject areas suitable for publication are:   Anatomy and Physiology  Anthropology  Approximate Reasoning  Architecture Evaluations and Tools  Artificial Intelligence  Artificial Neural Networks  Automation and Mobile Robots  Behavioral Biology  Biochemistry  Bioinformatics  Bionics  Biophysics  Biotechnology  Cognitive Science  Computational Intelligence  Computer Communication Networks and Modelling  Computer Systems  Computer Vision Systems  Data Engineering and Compression  Data Fusion  Design of Algorithms  Developmental Biology  Discrete Event Systems  Ecology  Economic Policy  Economic Theory, Systems and Structures  Evolutionary Biology  Expert and Decision Support Systems  Finance and Economics Modelling and Optimization  Fuzzy Logic  Genetic Algorithms and Modelling  Genetics  History of Economics  Human Biology  Human-Computer Interface  Image Processing  Macroeconomics  Mathematical Linguistics  Microeconomics  Neurobiology  Numeric and Statistical Techniques  Pattern Recognition  Public Finance and Fiscal Theory  User-friendly Man Machine Interface  Virtual Reality   Also articles as well as case reports, from other areas of the spectrum of science and technology.  Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 