Keys to Successful EPIQ Business Demonstrator Implementation

Shoikova, E., & Denishev, V. (2009). Keys to Successful EPIQ Business Demonstrator Implementation. Paper presented at the 'Open workshop of TENCompetence - Rethinking Learning and Employment at a Time of Economic Uncertainty-event'. November, 19, 2009, Manchester, United Kingdom: TENCompetence. [unpublished] For the book please see http://hdl.handle.net/1820/3191This paper presents the keys to successful implementation of the business demonstrator in high‐technology company EPIQ EA in electronic industry. The business demonstrator was designed and took place in the final stage of the TENCompetence evaluation work. It is related to the objective: To ensure the validity and viability of the approach during the project by performing real life pilot implementations in different organisational and international settings. The EPIQ business demonstrator has a unique piloting scenario because it involves an organisation, that has no previous experience with the competency‐related concepts, and has to make the entire shift (both methodologically and practically) from the traditional types of HR management process to the competency‐based talent management process. A competency‐based approach to developing the business demonstrator smart strategies and systems has been adopted. This process comprised of two parts. The first part included the analysis of the current and desired workforce competencies as the starting point for developing the talent management system that gives the HR team, executives, managers, and employees new power to drive performance and achieve immediate and long‐term strategic goals. The second part embraced the application of the competency‐based approach to create a cost‐effective, multiyear plan for building a fully integrated talent management system and pilot the TENCompetence organisational and technological infrastructure tailored to the organization’s unique culture, business processes and strategic goals. As significant outcome of the business demonstrator implementation a competence dictionary and set of competence profiles were created.The work on this publication has been sponsored by the TENCompetence Integrated Project that is funded by the European Commission's 6th Framework Programme, priority IST/Technology Enhanced Learning. Contract 027087 [http://www.tencompetence.org

Developing the Personal Competence Manager Evaluation Work: ‘EPIQ Business Demonstrator’

Shoikova, E., Denishev, V., & Milanov, R. (2008). Developing the Personal Competence Manager Evaluation Work: ‘EPIQ Business Demonstrator’. In R. Koper, K. Stefanov & D. Dicheva (Eds.), Proceedings of the 5th International TENCompetence Open Workshop "Stimulating Personal Development and Knowledge Sharing" (pp. 61-66). October, 30-31, 2008, Sofia, Bulgaria: TENCompetence Workshop. [For the whole proceedings please see also http://hdl.handle.net/1820/1961 ]The paper presents the design of a business demonstrator that will take place at EPIQ Electronic Assembly Business Unit EPIQ-2 (BU EPIQ-2), Botevgrad, Bulgaria. The process of a business model development to supply TENCompetence services (particularly Personal Competence Manager), within the BU EPIQ-2’s training process will be supported by the team of the Technical University – Sofia Research & Development Laboratory “E-Learning Technologies and Standards”. The aim of the business demonstrator is to develop a sustainable implementation of the TENCompetence concept and open source infrastructure at BU EPIQ-2 to support communities and individuals within the company to further develop their competences, by using distributed knowledge resources and learning units, routes/programmes, and activities, that are available online. The BU EPIQ-2 as a high technology business organisation needs to get more out of their engineers and specialists (more than 95) and in this time of increasing global competition it is now even more important to have motivated and talented employees to help meet the organization’s goals and objectives. The BU EPIQ-2’s business demonstrator will focus on 8 pre-defined key job positions: Project Engineer; Quality Support Engineer; Test Engineer; Process Engineer; Project Leader; Customer Service Representative; Procurement Specialist and Recruitment Specialist. The pilot will last from 01 Nov 2008 until 30 Jun 2009.The work on this publication has been sponsored by the TENCompetence Integrated Project that is funded by the European Commission's 6th Framework Programme, priority IST/Technology Enhanced Learning. Contract 027087 [http://www.tencompetence.org

Innovaciones en la educación superior en Electrónica a través del desarrollo de un entorno de aprendizaje basado en simulaciones y conducido por desarrollo de proyectos

This paper describes innovations in Bulgarian higher engineering education - distance learning, virtual technologies and multimedia in electronics as outcomes of a three years international project. In compliance with the project objectives a new unit - an Innovative Center for Open & Distance Learning and Multimedia - was established at the Faculty of Electronics. A hybrid model, which combined face-to-face instruction with the approaches of distance learning and multimedia methods, was designed to integrate modern learning methods and technologies into traditional university teaching.Este artículo describe las innovaciones en la educación universitaria búlgara en ingeniería: implantación de métodos de educación a distancia y de tecnologías virtuales y multimedia en la enseñanza de electrónica como resultado de un proyecto internacional de tres años. En conformidad con los objetivos del proyecto fue creada, una nueva unidad – un centro para el desarrollo e implantación de educación a distancia y multimedia - en la Facultad de Electrónica de la Universidad Técnica de Sofía. Fue diseñado un modelo híbrido que combinó la instrucción presencial con los planteamientos de la educación a distancia y las técnicas multimedia para integrar los modernos métodos y tecnologías educativas en la enseñanza tradicional de la universidad

Cluster analysis and ensemble transfer learning for COVID-19 classification from computed tomography scans

The paper presents a brief analysis of publications utilizing the public SARS-CoV-2 dataset, consisting of patients’ computer tomography scans captured from Brazil hospitals and an experimental setup addressing the found data challenges. The analysis shows that all protocols, with one exception, suffer from data leakage arising from data organization where the patients and their images are not grouped. Each patient is represented with several scans. It can provide misleading results as data of the same individual may occur in both training and test sets. Furthermore, only one paper proposed ensemble learning utilizing as base models VGG-16, ResNet50, and Xception. Therefore, we proposed and experimented with the following strategy to mitigate the found risks of bias: data standardization and normalization to achieve proper contrast and resolution; k-means and group shuffle split to avoid data leakage; augmentation and ensemble transfer learning to deal with limited sample size and over-fitting. Compared with the earlier proposed ensemble approach, the current one stacks VGG-16, Densenet-201, and Inception v3, achieving higher accuracy (99.3 %), second in the related work, and most significantly, it applies augmentation and clustering analysis to avoid overestimation. In contrast, the paper also presented critical metrics in the medical domain: negative prediction value (99.55%), false positive rate (0.89%), false negative rate (0.42%), and false discovery rate (0.83%). The strategy has two main advantages: reducing data pitfalls and decreasing generalization error. It can serve as a baseline to increase the performance quality and mitigate the risk of bias in the field

Automatic metadata generation for specification of e-documents - the metaspeed project

A Bulgarian research project funded by the Bulgarian National Science Fund under the thematic priority Information and Communication Technologies, contract D002-308/19.12.2008 is presented in this article. The main goal and tasks are outlined. Some already achieved results are pointed

Preface

We are delighted to celebrate the appearance of the special issue of Serdica Journal of Computing dedicated to the Internet of Things (IoT) Ecosystems. This special issue contains selected papers that are supported by the National Scientific Fund, Bulgarian Ministry of Education and Science within the KoMEIN Project No DN 02/1 and project No DN 02/11 as well as by the European Commission under grant agreement No 763566 GATE Teaming 1 Project, and by the Scientific Fund of Sofia University within project 80-10-192/24.04.2017. The Special Issue at hand intends to promote the dissemination of the projects results in form of innovative business models, architectures, Blockchain technologies and case studies pertaining to IoT ecosystems and the Future City platform that hosts, maintain and deliver a wide range of services to citizens, government and businesses through utilizing Big Data and IoT technologies

RIED. Revista iberoamericana de educación a distancia

Resumen basado en el de la publicaciónSe describen las innovaciones en la educación universitaria búlgara en Ingeniería, referentes a la implantación de métodos de educación a distancia y de tecnologías virtuales y multimedia en la enseñanza de electrónica. Esto surge como resultado de un proyecto internacional de tres años. En conformidad con los objetivos del proyecto, fue creada una nueva unidad (un centro para el desarrollo e implantación de educación a distancia y multimedia) en la Facultad de Electrónica de la Universidad Técnica de Sofía (Bulgaria). Fue diseñado un modelo híbrido que combinó la instrucción presencial con los planteamientos de la educación a distancia y las técnicas multimedia para integrar los métodos modernos y las tecnologías educativas en la enseñanza tradicional de la universidad.MadridES

Challenges and Opportunities of Blockchain Technology in Industrial Applications

Digital technology is changing the world, one industry at a time. It is still unclear if and to what extent the manufacturing industry is impacted by the innovative blockchain technology. Although a fairly new technology, it has many practical use cases and new applications of the technology are continuously introduced. The paper presents an assessment of the current maturity phase of Blockchain and evaluates the challenges and benefits of potential applications in the manufacturing industry. Further the paper explores the potential use cases for the manufacturing industry by giving an overview of the existing blockchain solutions. Moreover, the highlights from the World Economic Forum 2017 are reported where a set of actions was given that will move this technology forward. ACM Computing Classification System (1998): С.2.0, B.4.0, H.1.2, K.6.0