@article{electronics11233942,

title = {Evaluation of the Flourish Dashboard for Context-Aware Fault Diagnosis in Industry 4.0 Smart Factories},

author = {Lukas Kaupp and Kawa Nazemi and Bernhard Humm},

editor = {Kawa Nazemi and Egils Ginters and Michael Bazant},

url = {https://www.mdpi.com/2079-9292/11/23/3942},

doi = {10.3390/electronics11233942},

issn = {2079-9292},

year  = {2022},

date = {2022-11-01},

urldate = {2022-01-01},

journal = {Electronics},

volume = {11},

number = {23},

abstract = {Cyber-physical systems become more complex, therewith production lines become more complex in the smart factory. Every employed system produces high amounts of data with unknown dependencies and relationships, making incident reasoning difficult. Context-aware fault diagnosis can unveil such relationships on different levels. A fault diagnosis application becomes context-aware when the current production situation is used in the reasoning process. We have already published TAOISM, a visual analytics model defining the context-aware fault diagnosis process for the Industry 4.0 domain. In this article, we propose the Flourish dashboard for context-aware fault diagnosis. The eponymous visualization Flourish is a first implementation of a context-displaying visualization for context-aware fault diagnosis in an Industry 4.0 setting. We conducted a questionnaire and interview-based bilingual evaluation with two user groups based on contextual faults recorded in a production-equal smart factory. Both groups provided qualitative feedback after using the Flourish dashboard. We positively evaluate the Flourish dashboard as an essential part of the context-aware fault diagnosis and discuss our findings, open gaps, and future research directions.},

keywords = {Artificial Intelligence, Case study, Data Analytics, Data Science, Data visualization, Decision Making, Decision Support Systems, Evaluation, smart factory, Smart manufacturing, Visual analytics},

pubstate = {published},

tppubtype = {article}

}

@article{Nazemi2009c,

title = {eLearning 2.0 - Technologies for Knowledge Transfer in European-Wide  Network of Schools},

author = {Kawa Nazemi and Maja Cukusic and Andrina Granic},

url = {https://kawa.nazemi.net/wp-content/uploads/2018/01/eLearning-2.0-Technologies-for-Knowledge-Transfer-in-European-Wide-Network-of-Schools.pdf, Full Paper

https://dx.doi.org/10.4304/jsw.4.2.108-115},

doi = {10.4304/jsw.4.2.108-115},

issn = {1796-217X},

year  = {2009},

date = {2009-01-01},

journal = {Journal of Software},

volume = {4},

number = {2},

pages = {108--115},

publisher = {International Academy Publishing},

abstract = {With the upcoming features of Web 2.0 current eLearning solutions, mostly characterized by single user and centered data-download, change and develop further. The traditional paradigm of classroom teaching and learning is broadened towards sharing experiences and knowledge in word-wide social communities. Furthermore, knowledge capturing in ambient environments gains more importance and the use of mobile devices has created rich and exciting learning opportunities. These aspects characterize the so-called eLearning 2.0. Different aspects of this paradigm shift are presented in this paper and the European Community supported UNITE project as an application case is offered. The technical aspects of the platform development cycle are provided and its enhanced eKnowledge repositories are addressed. The UNITE system implementation in the setting of one of the European-wide network of schools is presented as an iterative four-stage-process, the achieved results are discussed and

 future work is proposed.},

keywords = {Case study, E-Learning, Knowledge management (KM), Web 2.0},

pubstate = {published},

tppubtype = {article}

}