Current projects

An intelligent system for researching the energy consumption of IoT modules

Funded by: Ministry for Education and Science, Ukraine
Principal investigator of the project – Prof. Anatoly Sachenko;
Contact investigator – Dr. Oleksandr Osolinskyi

Duration: 2022-2024

Goal and Objectives: The goal of the project is to create a system for researching the energy consumption of IoT modules with a forecast of the energy of executing MC instructions in all modes, including non-experimental research, with high accuracy (the error is less than the minimum difference in the energy of executing individual instructions) and the reliability of the measurement results.
The main tasks of the project:
a) improvement of methods of measuring instantaneous and average energy consumption of MC;
b) improvement of the method of building the energy consumption model of MC;
c) development of methods and means of assessment of methodical errors of energy consumption measurement of MC;
d) creation of an intelligent system for researching the energy consumption of software implementation of IoT modules;
e) development of algorithms for the functioning of an intelligent system.

Expected results of the project:
• High-precision methods of measuring the instantaneous and average energy consumption of MC.
• The architecture of the integrated system, which combines the measurement of instantaneous and average energy consumption of MK, mutual censoring and the extraction of false measurements.
• Hardware and software of the integrated system, as well as forecast of energy consumption of untested instructions and commands by neural networks.
• Methods of measuring the energy consumption of instructions, commands and programs.
• Methodology for researching the energy consumption of the MC of other parts of the IoT module.
• Software code analysis by current consumption for certain MK models for IoT modules.

Team (main members):
– Anatoliy Sachenko,
– Volodymyr Kochan,
– Oleksandr Osolinskyi,
– Oleg Savenko.

Virtual Master Cooperation Data Science (ViMaCs) – Phase 2, 2021-2024

Project Co-investigator: Prof. Anatoliy Sachenko
Co-investigator – Dr Pavlo Bykovyy

Duration: 2021 – 2024

Foreign partner: University of Applied Sciences Dortmund, Gernamy

Main project results:
● Staff and students Mobility to Germany and back
● Holding Summer and Winter Schools every year
● Research Big Data acquisition and collection
● Developing online e-courses

Team:
– Anatoliy Sachenko;
– Pavlo Bykovyy;
– Oleksandr Osolinskyi;
– Mykhailo Dombrovskiy.

WORK4CE: Cross-domain competences for healthy and safe work in the 21st century

Project Reference: 619034-EPP-1-2020-1-UA-EPPKA2-CBHE-JP

Digital Transformation changes the way we live and work in a dramatic way. Still, people want “good labour” and employers want to develop new ways of working.

WORK4CE addresses the need for competences, standards, learning materials and didactic formats, which are important in the new Work4.0 environment.

The project develops standards and learning materials for the new topic of cross-domain competences for healthy and safe work (CDHS) by setting up industry-university communities for the development, delivery and dissemination for the relevant topics.

Project goals

• Development of a portfolio of 9 eLearning modules and Open Educational Resources on Competence Model for Work
• Implementation of the co-production approach of academic and professional experts in 9 virtual Open Communities of Practice
• Development of a certification system with professional standards to foster relevance for and adoption by industr
• Train lecturers and company trainers and bind them to the Open Communities of Practice (min. 20)
• Deliver Competence Model for Work for students, professionals and executives
• Update the curricula of 8 Master programmes with modules and specialization packages
• Cooperation of Master programmes in a virtual, cross-border Master School with exchange and double degrees

Project outcomes

• eLearning Modules and Educational Resources
• Data Analytics for Work
• Health Management in the Digital Era
• Industry 4.0
• Distributed Teams
• Work 4.0
• Safe Workplaces
• Managing Digital Change
• Life Cycle Thinking and Sustainable Management
• Developing Digital Business Ecosystems

WORK4CE Digital Portal

Train-the-Trainer modules and workshops

OpenCoPs with ongoing co-production, release of content

Virtual Master School with specialisation packages

Curricula update and double degrees

Professional and Executive Education Packages

Digital Co-production Labs

Project type: Erasmus+ KA2: Capacity Building in Higher Education

Project period: 15.11.2020 – 14.11.2023

Grant holder: National University Zaporizhzhia Polytechnic

Project coordinator: Prof. Galyna Tabunshchyk

Funded by: Erasmus + Programme of the European Union. Follow up here

PARTICIPANTS:

• National University Zaporizhzhia Polytechnic (NU-ZP)
• Fachhochschule Dortmund (FH Do)
• Katholieke Universiteit Leuven (KU Leuven)
• Universidad del Pais Vasco/ Euskal Herriko Unibertsitatea (UPV)
• Kyiv National University of Construction and Architecture (KNUCA)
• West Ukrainian National University (WUNU)
• Azerbaycan Respublikasi Dovletgomruk Komitesinin Akademiyasi (ASSCA)
• Azerbaycan Dovlet Neft ve Senaye Unversiteti (ASOIU)
• Azerbaijan Architecture and Construction University (AzUAC)

PROJECT “ERASMUS+ SUDEM” Grant No: 2023-1-BG01-KA220-HED-000159479

Aim:

Generating a common European pool of adequately prepared disaster management experts of the future;
By implementing the SUDEM approach – to reach a higher disaster management preparedness on a national level within the partner organisations and beyond – through digitization;
Free access to the open-source learning platform will ensure the achievement of a broad impact among future, ongoing and current experts in the relevant domains;
Reduce disaster victims
Implementation:

The main activity is the launch of a digital educational platform including relevant courses which will assist in reaching a higher disaster management preparedness – in HED and LLL. It involves the foresight analysis and development of a suitable curriculum as well as a feedback system serving as a means for the continued improvement of the courses. Additionally, communication and dissemination activities are planned so interested sides can track the progress and achievements of the project.

Results:

The most important result for this project is the improvement of disaster management preparedness, by the learning package envisaged. A consequent result of this will be the decrease of victims due to the betterment of many aspects and systems inside disaster management. Other outcomes include the increased digitalisation of this field and the improvement of decision-making capabilities, as well as the creation of a larger shared pool of highly capable European experts in this area.