Development Process for Self-adaptive Applications of the Internet of Health Things based on Movement Patterns

In this chapter we review and discuss the impact of mass adoption of the Internet and its assorted technologies is having on the evolution of the videogame medium. Specifically, we reflect on how the Internet has enabled the creation of novel game platforms and types, triggered the improvement of game development process, expanded the game audience and increased innovation in game creation. Crucially, the Internet has transformed videogames into a massive socialization platform with far reaching consequences into society and economy.

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Enabling the Interoperability of the Modelica DSL and Matlab Simulink towards the Development of Self-Adaptive Dynamic Systems

International Journal of System Dynamics Applications ◽

10.4018/ijsda.2018100104 ◽

2018 ◽

Vol 7 (4) ◽

pp. 54-75

Author(s):

Nikolay Tcholtchev ◽

Grit Dudeck ◽

Michael Wagner ◽

Christian Hein ◽

Arun Prakash ◽

...

Keyword(s):

Development Process ◽

System Development ◽

Efficient Design ◽

Matlab Simulink ◽

Adaptive Dynamic ◽

Domain Specific ◽

Current Article ◽

Cost Efficient ◽

Self Adaptive

Domain Specific Languages (DSL) are an important concept that is used in industry, in order to enable the fast and cost-efficient design of specific functions/components, and/or to target particular aspects of the systems' development and operation. In the current article, the authors describe their experiences on the integration of the Modelica DSL into a platform that enables the integration and interoperability of model-based tools across the various phases of the system development process. Furthermore, it is illustrated how Matlab Simulink can be used in parallel in the course of the same system design undertaking. Thereby, the authors present their approach and compare different tools which were used, in order to efficiently complete the integration, and finally exemplify the outcome on a case study related to a self-adaptive dynamic system from the automotive domain.

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DeepWiERL: Bringing Deep Reinforcement Learning to the Internet of Self-Adaptive Things

IEEE INFOCOM 2020 - IEEE Conference on Computer Communications ◽

10.1109/infocom41043.2020.9155461 ◽

2020 ◽

Cited By ~ 3

Author(s):

Francesco Restuccia ◽

Tommaso Melodia

Keyword(s):

Reinforcement Learning ◽

The Internet ◽

Self Adaptive

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An internet portal for the development of clinical practice guidelines

Applied Clinical Informatics ◽

10.4338/aci-2010-04-ra-0027 ◽

2010 ◽

Vol 01 (04) ◽

pp. 430-441 ◽

Cited By ~ 4

Author(s):

T. Karge ◽

B. Siegmund ◽

J. Preiss ◽

J.C. Hoffmann ◽

M. Zeitz ◽

...

Keyword(s):

Clinical Practice ◽

Clinical Practice Guidelines ◽

Practice Guidelines ◽

Development Process ◽

Content Management ◽

The Internet ◽

Content Management System ◽

Respective Group ◽

Internet Technologies ◽

Internet Portal

Summary Background: The complexity and quality requirements for the development of clinical practice guidelines steadily increase. Internet technologies support this process by optimizing the development process. Objective: The aim of this internet based solution was to facilitate the development of clinical practice guidelines. Methods: An internet portal was developed allowing for a shared workplace to support clinical practice guideline authoring. It is based on a Content Management System and combines different tools for document handling and editing, communication as well as process and team steering. Results: Until now, the internet portal has been successfully implicated in the development of six evidence- and consensus-based clinical practice guidelines. Additional German and European clinical practice guidelines are currently generated with support of the internet portal. The available tools allow for a flexible design of the scheduled workflow, depending on the requirements of the respective group. An additional strength of the platform is the advantage to transfer all data from a previous version of a guideline into the next ‘life-cycle‘. Conclusion: The application of the portal results in a considerable reduction of costs and development time of the resulting clinical practice guidelines.

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