Search

Your search keyword '"Nägele, T."' showing total 544 results
Start Over Author "Nägele, T."
544 results on '"Nägele, T."'

1. Homozygous Frameshift Mutation in the ATP1A2 Gene Leading to Severe Pseudo-TORCH Syndrome.

Author

Alber, M., Quante, M., Wiechers, C., Franz, A., Hoopmann, M., Grasshoff, U., Haack, T., and Nägele, T.

Subjects
FRAMESHIFT mutation, GENETIC mutation, CONGENITAL disorders, FACIAL abnormalities, SYNDROMES, EPILEPSY
Abstract

This article, published in the journal Neuropediatrics, discusses a rare group of disorders known as Pseudo-TORCH syndromes (PTS). These disorders are characterized by microcephaly, cerebral calcification, polymicrogyria, and seizures at birth that resemble the effects of congenital infection. The article presents a case study of a girl with PTS caused by a homozygous frameshift mutation in the ATP1A2 gene. The girl exhibited severe symptoms including facial dysmorphism, hypotonia, respiratory insufficiency, and treatment-resistant epilepsy. The study highlights the importance of considering homozygous mutations of ATP1A2 in the differential diagnosis of children presenting with PTS. [Extracted from the article]

Published
2023
Full Text
View/download PDF

36. Early Analysis of Cyber-Physical Systems using Co-simulation and Multi-level Modelling

Author

Nägele, T., Broenink, T., Hooman, J.J.M., Broenink, J., Luo, R.C., and Luo, R.C.

Subjects
System design, Computer science, 0211 other engineering and technologies, 02 engineering and technology, Co-simulation, Software, Component (UML), 0202 electrical engineering, electronic engineering, information engineering, Software Science, Concurrent development, FMI, 021103 operations research, business.industry, System analysis, Cyber-physical systems, Cyber-physical system, 020207 software engineering, Construct (python library), HLA, Multi-level modelling, Systems design, Software engineering, business, Engineering design process, Early analysis
Abstract

The multi-disciplinary nature of the design of cyber-physical systems makes it hard to gain insight in the system behaviour early in the design process. Our aim is to allow the designers to analyse the integration of system components as well as the behaviour of the complete system in an early stage. This is achieved by creating abstract component models and refining them throughout the design process. After every refinement cycle, the models can be co-simulated to analyse the behaviour of the system, supporting design decisions. The co-simulation is created based on existing standards such as HLA and FMI and uses a domain-specific language to construct a co-simulation automatically. This approach is illustrated using a case study which resembles a confidential industrial case.

Published
2019

41. Early Analysis of Cyber-Physical Systems using Co-simulation and Multi-level Modelling

Author

Luo, R.C., Nägele, T., Broenink, T., Hooman, J., Broenink, J., Luo, R.C., Nägele, T., Broenink, T., Hooman, J., and Broenink, J.

Abstract

ICPS 2019: IEEE Conference on Industrial Cyber Physical Systems, May 6-9, 2019 Taipei, Taiwan, Contains fulltext : 207639.pdf (preprint version ) (Open Access) Contains fulltext : 207639.pdf (publisher's version ) (Closed access)

Published
2019

46. CoHLA: Design Space Exploration and Co-simulation Made Easy

Author

Nägele, T., Hooman, J.J.M., Broenink, T., Broenink, J., Colombo, A.W., and Colombo, A.W.

Subjects
0209 industrial biotechnology, Domain-specific language, Industrial Innovation, business.industry, Design space exploration, Computer science, Cyber-physical systems, Domain Specific Language, Cyber-physical system, 02 engineering and technology, Co-simulation, Design Space Exploration, Space exploration, DSL, HLA, 020901 industrial engineering & automation, Component (UML), Systems architecture, Software Science, Software engineering, business, FMI, Generator (mathematics)
Abstract

The inherent multi-disciplinary nature of cyber-physical systems makes it difficult to get early insight in key system properties and trade-offs that have to be made. Our aim is to support system architects of such systems by facilitating the co-simulation of models from different disciplines and design space exploration. This has been achieved by defining a domain-specific language called CoHLA which allows a high-level description of a system architecture and simulation parameters to be specified. A generator has been implemented that generates a co-simulation of component models using an implementation of the HLA standard. Component models that adhere to the FMI standard can be incorporated easily. Moreover, CoHLA includes primitives to express design space parameters and metrics; this information is used to generate tooling for automated design space exploration.

Published
2018

47. Building Distributed Co-simulations using CoHLA

Author

Nägele, T., Hooman, J.J.M., Sleuters, J., Novotny, M., and Novotny, M.

Subjects
Domain-specific language, Speedup, Computer science, Distributed computing, Domain Specific Language, Cloud computing, 02 engineering and technology, Co-simulation, DSL, 020204 information systems, 0502 economics and business, 0202 electrical engineering, electronic engineering, information engineering, Distribution, Internet of Things, Software Science, FMI, Industrial Innovation, business.industry, Cyber-physical systems, 05 social sciences, A domain, Cyber-physical system, HLA, Digital subscriber line, Scalability, 050211 marketing, business
Abstract

The construction of a co-simulation for large cyber-physical systems can be very time consuming. We have defined a domain specific language called CoHLA that facilitates this construction based on the standards FMI and HLA. Scalability of this approach is investigated by the application to Internet of Things (IoT) systems. Because of the repetitive nature of these systems, we developed a separate domain specific language that allows the user to describe the system and easily generate a co-simulation definition for CoHLA. Additionally, we extended CoHLA to speed up the co-simulation execution by distributing the simulation across multiple nodes. This method also allows the co-simulation to be executed in the cloud easily.

Published
2018

49. CoHLA: Design Space Exploration and Co-simulation Made Easy

Author

Colombo, A.W., Nägele, T., Hooman, J., Broenink, T., Broenink, J., Colombo, A.W., Nägele, T., Hooman, J., Broenink, T., and Broenink, J.

Abstract

2018 IEEE Industrial Cyber-Physical Systems (ICPS), ITMO University, Saint Petersburg, Russia 15 - 18 May, 2018, Contains fulltext : 195250.pdf (Publisher’s version ) (Open Access)

Published
2018

50. Building Distributed Co-simulations using CoHLA

Author

Novotny, M., Nägele, T., Hooman, J., Sleuters, J., Novotny, M., Nägele, T., Hooman, J., and Sleuters, J.

Abstract

DSD 2018: 21st Euromicro Conference on Digital System Design, August 29-31, 2018, Prague, Czech Republic, Contains fulltext : 197658.pdf (Publisher’s version ) (Open Access)

Published
2018

Catalog

Books, media, physical & digital resources
See catalog results