KNODWAT: A scientific framework application for testing knowledge discovery methods for the biomedical domain

BACKGROUND: Professionals in the biomedical domain are confronted with an increasing mass of data. Developing methods to assist professional end users in the field of Knowledge Discovery to identify, extract, visualize and understand useful information from these huge amounts of data is a huge challenge. However, there are so many diverse methods and methodologies available, that for biomedical researchers who are inexperienced in the use of even relatively popular knowledge discovery methods, it can be very difficult to select the most appropriate method for their particular research problem. RESULTS: A web application, called KNODWAT (KNOwledge Discovery With Advanced Techniques) has been developed, using Java on Spring framework 3.1. and following a user-centered approach. The software runs on Java 1.6 and above and requires a web server such as Apache Tomcat and a database server such as the MySQL Server. For frontend functionality and styling, Twitter Bootstrap was used as well as jQuery for interactive user interface operations. CONCLUSIONS: The framework presented is user-centric, highly extensible and flexible. Since it enables methods for testing using existing data to assess suitability and performance, it is especially suitable for inexperienced biomedical researchers, new to the field of knowledge discovery and data mining. For testing purposes two algorithms, CART and C4.5 were implemented using the WEKA data mining framework

Towards Life Long Learning: Three Models for Ubiquitous Applications

In this paper, we present three experimental proof-of-concepts: First, we demonstrate a Ubiquitous Computing Framework (UCF), which is a network of interacting technologies that support humans ubiquitously. We then present practical work based on this UCF framework: TalkingPoints, which was originally developed for use at trading fairs in order to identify each participant and company via transponder and provide specific information during and after use. Finally, we propose GARFID, a concept for using advanced technologies for teaching young children. The main outcome of this research is that the concept of UCF raises a lot of possibilities, which can bring value and benefits for end-users. When one follows the Working-is-Learning paradigm, it can be seen that the implementation of this type of technology can support Life Long Learning, thereby providing evidence that technology can benefit everybody and make life easier

Multi-criteria Optimization of Workflow-Based Assembly Tasks in Manufacturing

Industrial manufacturing is currently amidst it's fourth great revolution, pushing towards the digital transformation of production processes. One key element of this transformation is the formalization and digitization of processes, creating an increased potential to monitor, understand and optimize existing processes. However, one major obstacle in this process is the increased diversification and specialisation, resulting in the dependency on multiple experts, which are rarely amalgamated in small to medium sized companies. To mitigate this issue, this paper presents a novel approach for multi-criteria optimization of workflow-based assembly tasks in manufacturing by combining a workflow modeling framework and the HeuristicLab optimization framework. For this endeavour, a new generic problem definition is implemented in HeuristicLab, enabling the optimization of arbitrary workflows represented with the modeling framework. The resulting Pareto front of the multi-criteria optimization provides the decision makers a set of optimal workflows from which they can choose to optimally fit the current demands. The advantages of the herein presented approach are highlighted with a real world use case from an ongoing research project.Comment: This preprint has not undergone peer review or any post-submission improvements or corrections. The Version of Record of this contribution is published in Computer Aided Systems Theory - EUROCAST 2022 and is available online at this URL https://doi.org/10.1007/978-3-031-25312-6_

Хімічна інженерна освіта: історія розвитку

У статті висвітлюється питання підготовки інженерів-хіміків для народного господарства в системі вищої освіти України.The article is devoted to the problem training of chemical engineer for national economy in system of the higher education of the Ukraine