Category: News

Image processing techniques in a Python course based on ancient manuscript processing, 2024, ACIT 2024

Image processing techniques in a Python course based on ancient manuscript processing, 2024, ACIT 2024

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There is a need to develop effective curricula based on real-life cases that can be used to broaden students’ participation and motivate them during their studies. Real-life case examples are crucial to justify the learning of the respective discipline. In our study, we explore the application of image processing using Python in the context of processing ancient manuscripts, particularly palimpsests. Palimpsests are invaluable historical manuscripts, often rewritten and reused over time. They pose challenges for researchers due to legibility and interpretation issues. Python and AI can help decipher them. This interdisciplinary study not only introduces students to applied AI techniques, but also enriches their practice with the use of various image preprocessing techniques to enhance the readability of palimpsests. Specific methods such as Gamma correction, Contrast Limited Adaptive Histogram Equalization (CLAHE) and Gaussian smoothing are detailed to demonstrate various preprocessing strategies. Current educational trends in Applied Artificial Intelligence (AAI) are discussed in this paper. Experimental techniques are elucidated through example code implementations showing the practical application of these technologies. The research contributes to the advancement of both educational and scientific applications by introducing learners to the history of their country through the analysis of ancient manuscripts. By engaging with these materials, students gain practical skills in AI while deepening their historical knowledge, fostering a holistic and interdisciplinary approach to learning.

Improving Palimpsest Readability viьa Image Preprocessing: an Investigation into Adjustment Techniques, 2024, DIP 2024

Improving Palimpsest Readability viьa Image Preprocessing: an Investigation into Adjustment Techniques, 2024, DIP 2024

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The palimpsests represent unique historical sources that hold the potential for new insights in the field of human history. These manuscripts, rewritten and reused over time, pose challenges in the research related to their readability and interpretation. The present study aims to investigate the readability of palimpsests through the use of image preprocessing techniques. The article focuses on methods for the preprocessing of palimpsests that could lead to a significant improvement in the readability of the ‘hidden’ text. The challenges encountered during the processing of palimpsests are explored and various techniques applicable to improving the readability of these manuscripts are analyzed.

The primary goal of preprocessing in this context is to separate the ‘hidden’ text from the visible one, neutralizing material defects and aging. The article presents specific methods such as extracting specific color range from an palimsest image. The experimental techniques are highlighted with sample codes illustrating the application of the respective technology. The current research attempts to advance the development of methods for processing palimpsests and opens up new perspectives for extracting information from those historically valuable manuscripts.

Collecting Good Practices in Applied AI using questionnaires

Collecting Good Practices in Applied AI using questionnaires

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The work is fulfilled within the framework of Erasmus+ project “The Future is in Applied Artificial Intelligence” (FAAI) and devoted to the development the methodology for collecting and analyzing good practices in the field of applied artificial intelligence (AAI) regarding the competences, training, existing solutions and real cases, which can be used for developing training courses of competence based education. The empirical methods used in the research of good practice in AI include a group of methods associated with the study and generalization of competencies, advanced pedagogical experience, as well as with the study of AI solutions in the science and industry. The following groups were researched to improve the study:

The obtained data collection can be aquire here:

Questionnaire results1

Questionnaire results2

Questionnaire results3

Questionnaire results4

Questionnaire results5

Questionnaire results6

Questionnaire results7

Questionnaire results7x

Questionnaire results8

Special presentation for BIP: AI in Art

Special presentation for BIP: AI in Art

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In April, the University of Bielsko-Biała hosted a Blended Intensive Programme event for students from Europe. The main goal of the “AI for Art” panel was to increase understanding of how AI is influencing and contributing to the field of art, including generative art and creative applications.

The presentation and link for tools are given here:

AI for Art

Fooocus Repository

ComfyUI Repository

stable-diffusion-webui Repository

Special presentation for BIP: AI in Virtual Reality

Special presentation for BIP: AI in Virtual Reality

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In April the University of Bielsko-Biala hosted Blended Intensive learning event. It bringed students from all Europe.

The special presentation was given that utilise the results of FAAI projects. The presentation and aditional asest are given here:

Blended Intensive Programme_fin

Additional files:

scripts

use_case1_face_detect

use_case5_API

use_case5_data

 

 

Presentation for Precisely company

Presentation for Precisely company

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On the 29th of February there was a meeting on which the presentation entitled “The use of artificial intelligence and sensors to monitor and classify objects” was presented.

It was a pleasure to talk about the AI application in modern world.

Here you can find the presentation ( link to presentation)  and pictures from a meeting.

Presentation at Record company

Presentation at Record company

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On the 15th of February there was a meeting on which the presentation entitled “AI application not only in sport” was presented.

It was a pleasure to talk about the AI application in modern world.

Here you can find the presentation ( link_to_presentation )  and pictures from a meeting.

 

Erasmus+ project FAAI: 16th Edition of the International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS’2023) in Niš (Serbia)

Erasmus+ project FAAI: 16th Edition of the International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS’2023) in Niš (Serbia)

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The 16th Edition of the International Conference on Advanced Technologies, Systems, and Services in Telecommunications (TELSIKS’2023) unfolded at the distinguished Faculty of Electronic Engineering (FEE), University of Nis, Serbia, from October 25-26, 2023. This conference marked a significant milestone in the exploration of cutting-edge technologies and services in the field of telecommunications.
The FAAI project consortium was represented by delegations from University of Bielsko-Biala (UBB), University of Library Studies and IT (ULSIT), University of Nis (UNI), University of Ss. Cyril and Methodius in Trnava (UCMT), and University of Montenegro (UoM), collectively showcasing the collaborative efforts and expertise of these esteemed institutions.
Opening Ceremony and Plenary Session: A Glimpse of Our Delegation’s Engagements
Before delving into the special session on Applied Artificial Intelligence, our delegations had the privilege of participating in the distinguished Opening Ceremony and Plenary Session of TELSIKS’2023.

The Opening Ceremony, held in Room 457, FEE, was a momentous occasion marked by an atmosphere of camaraderie and shared purpose. It provided a fitting commencement to the conference, setting the stage for the intellectually stimulating interactions that followed.

Following this, the Plenary Session, also convened in Room 457, FEE, showcased a lineup of eminent speakers who expounded upon the latest trends and advancements in telecommunications. Our delegations actively engaged in these enriching discussions, contributing to the collective discourse on the future of the field.


Special Session: Setting up the Applied Artificial Intelligence Learning Requirements (SS3)

A significant highlight of the conference was the special session on Applied Artificial Intelligence (AI) and learning environments. This session delved into the development of a competency framework for Applied AI, encapsulating technical, business, and ethical perspectives, in alignment with the Erasmus+ project FAAI No. 2022-1-PL01-KA220-HED-000088359.
Chaired by Vasyl Martsenyuk and Olivera Pronić-Rancic, the session played a pivotal role in fostering dynamic discussions and facilitating the exchange of innovative ideas on Applied AI.

Noteworthy Talks
1. “On Emerging Methodology for Collection of Good Practices in Applied Artificial Intelligence”
• Vasyl Martsenyuk, George Dimitrov, Dejan Rancic, Iveta Dirgova Luptakova, Igor Jovancevic, Aleksandra Klos-Witkowska, Marcin Bernas, and Tomasz Gancarczyk.
2. “Research and Analysis of IT Specifications of Good Practices in Artificial Intelligence”
• Paulina Tsvetkova, George Dimitrov, Vasyl Martsenyuk, Iveta Dirgová-Luptáková, Dejan Rancic, Igor Jovancevic, Iva Kostadinova, Katia Rasheva-Yordanova, Pepa Petrova, and Pavel Petrov.
3. “Research and Analysis of Different Real Cases, with use of AAI”
• Iva Kostadinova, George Dimitrov, Vasyl Martsenyuk, Dejan Rancic, Iveta Dirgova-Luptakova, Igor Jovancevic, Ivan Trenchev, Stefka Toleva-Stoimenova, and Pavel Petrov.

4. “Employer Requirements for Graduate Competencies in Applied Artificial Intelligence”
• Dragan Stojanovic, Olivera Pronić-Rancic, Natalija Stojanovic, Dejan Rancic, and Marko Milojkovic.

5. “Research and Analysis on the Labor Market in the Field of Applied AI”
• Aleksandar Plamenac, Igor Jovancevic, Georgi Dimitrov, Vasyl Martsenyuk, Dejan Rancic, and Iveta Dirgova-Luptakova.
6. “On Predicting Financial Time Series of Various Granularity as an Applied AI Problem”
• Vasyl Martsenyuk and Jacek Kafel-Kania.
7. “On Manufacturing Network Design as an Applied AI Problem”
• Vasyl Martsenyuk and Nataliia Kit.
Engaging Discourse and Valuable Insights
The ensuing discussions were characterized by a palpable enthusiasm and a profound appreciation for the depth of knowledge shared. The questions posed were astute, and the insights imparted were instrumental in augmenting our collective understanding.

Looking Ahead
The conference culminated as a resounding success, serving as an exemplary platform for the dissemination of the FAAI project’s findings. The strides made in the domain of Applied AI are nothing short of commendable, and we remain sanguine about the transformative potential of our collaborative endeavors.
We extend our gratitude to all participants for their invaluable contributions, and we eagerly anticipate the continued discourse on these vital topics.

Erasmus+ project FAAI: Transnational Meeting A4.1 in University of Niš in Serbia

Erasmus+ project FAAI: Transnational Meeting A4.1 in University of Niš in Serbia

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The A4.1 transnational meeting took place at the Faculty of Electronic Engineering in Nis, and Science Technology Park Nis, Serbia, with the participation of partners from five universities: University of Bielsko-Biala (UBB), University of Library Studies and IT (ULSIT), University of Nis (UNI), University of Ss. Cyril and Methodius in Trnava (UCMT), and University of Montenegro (UoM). The meeting’s main objective was to facilitate collaboration, assess the project’s current status, and explore future perspectives.
Science Technology Park Nis (STPN) gave the venue for the meeting conductance.

Photo. The meeting participants before the STPN building

Photo. The meeting participants studied the experience of IT companies located in STPN, focusing on applied AI

Photo. The meeting participants investigating AI hardware solutions for virtual platforms

Day 1 – October 25, 2023:
1. Introduction and Project Overview (14:30 – 15:00)
• Vasyl Martsenyuk and Georgi Dimitrov provided an overview of the project’s current state, highlighting the progress made in developing the Artificial Intelligence Competency Framework, Learning Requirements, and the curriculum’s main content and topics.
2. Current State of WP4 and Task Distribution (15:00 – 15:30)
• Igor Jovancevic and Dejan Rancic discussed the current state of Work Package 4 (WP4) and allocated tasks and responsibilities among the partners.
3. Methodology of AAI Design (15:30 – 16:00)
• Igor Jovancevic and Vasyl Martsenyuk presented the methodology for designing Artificial Intelligence in Education (AAI) components.
4. Translations of Project Results (16:30 – 17:00)
• All partners engaged in discussions regarding the translation of project results into their respective native languages.

Day 2 – October 26, 2023:
5. AAI Job Hub and Openness of Project Results (08:30 – 09:00)
• Vasyl Martsenyuk introduced the AAI Job Hub as a platform to enhance the accessibility and openness of project results.
6. Enhancing Project Evaluation (09:30 – 09:45)
• All partners collaborated to explore ways to enhance the evaluation of project results.
7. Education Materials Development Report (09:45 – 10:30)
• Partners reported on the progress made in developing education materials for the training course on AAI.
8. Dissemination of Project Results (10:30 – 11:00)
• Vasyl Martsenyuk discussed strategies for disseminating project results through events and publications.
9. Preparing Trainings in Trnava (15:00 – 15:30)
• Iveta Dirgova Luptakova provided insights into the preparation of training sessions in Trnava.
10. Financial and Managerial Activities (15:30 – 16:00)
• Institutional coordinators from all partners addressed financial and managerial aspects of the project (AdminProject).

The meeting concluded successfully, achieving its objectives of fostering collaboration, assessing project progress, and outlining future actions. The partners left with a clear understanding of their roles and responsibilities moving forward in the FAAI Erasmus+ project.