A Software Platform for Use Case Driven Human-Friendly Factory Interaction Using Domain-Specific Assets

2020 ◽  
pp. 1032-1043
Author(s):  
Felix Brandt ◽  
Eric Brandt ◽  
David Heik ◽  
Dirk Reichelt ◽  
Javad Ghofrani
Keyword(s):  
Use Case ◽  
Software Platform ◽  
Domain Specific

scholarly journals Domain Specific Assets: A Software Platform for Use Case Driven Human Friendly Factory Interaction

2020 ◽  
Author(s):  
Felix Brandt ◽  
Eric Brandt ◽  
Javad Ghofrani ◽  
David Heik ◽  
Dirk Reichelt
Keyword(s):  
Industrial Revolution ◽  
New Technologies ◽  
Use Case ◽  
Human Being ◽  
Software Platform ◽  
Domain Specific ◽  
Self Organized ◽  
Production Factors ◽  
Wide Range ◽  
Current Production

In current efforts to digitize manufacturing and move it into the fourth stage of the industrial revolution, a wide range of integration solutions is being considered to enable manufacturing to adapt to change. In transforming a factory into a self-organized, autonomous factory, companies are currently struggling with rapidly changing requirements and production factors, among other things. This is a particular problem for the human being as an actor within the factory, as the amount of new technologies and protocols increases the training effort. Proprietary interfaces of the control providers, a wide range of different communication protocols, complicate the understanding of the production processes, the evaluation and testability of new use cases and increase the danger of creating silos of knowledge as well as building collaboration barriers. As a solution to these problems, we propose an open software platform and define a way to model use case driven domain specific asset representation (DSA) that focuses on the human being and his needs for representing the factory in a way that it meets his requirements for the current production needs. We therefore conducted research on google scholar on human factors in industry 4.0 and used technologies as well as already existing platforms and their architecture.

scholarly journals The NeXus data format

2015 ◽  
Vol 48 (1) ◽  
pp. 301-305 ◽  
Author(s):  
Mark Könnecke ◽  
Frederick A. Akeroyd ◽  
Herbert J. Bernstein ◽  
Aaron S. Brewster ◽  
Stuart I. Campbell ◽  
...  
Keyword(s):  
Experimental Data ◽  
Data Exchange ◽  
Scientific Data ◽  
Use Case ◽  
Data Format ◽  
X Ray ◽  
Specific Field ◽  
Domain Specific ◽  
International Group

NeXus is an effort by an international group of scientists to define a common data exchange and archival format for neutron, X-ray and muon experiments. NeXus is built on top of the scientific data format HDF5 and adds domain-specific rules for organizing data within HDF5 files, in addition to a dictionary of well defined domain-specific field names. The NeXus data format has two purposes. First, it defines a format that can serve as a container for all relevant data associated with a beamline. This is a very important use case. Second, it defines standards in the form of application definitions for the exchange of data between applications. NeXus provides structures for raw experimental data as well as for processed data.

scholarly journals Toward a Lifecycle Information Framework and Technology in Manufacturing

2017 ◽  
Vol 17 (2) ◽  
Author(s):  
Thomas Hedberg ◽  
Allison Barnard Feeney ◽  
Moneer Helu ◽  
Jaime A. Camelio
Keyword(s):  
Information Modeling ◽  
Digital Data ◽  
Use Case ◽  
Product Lifecycle ◽  
Dynamic Information ◽  
Data Set ◽  
Data Repositories ◽  
Domain Specific ◽  
Multiple Data ◽  
Information Framework

Industry has been chasing the dream of integrating and linking data across the product lifecycle and enterprises for decades. However, industry has been challenged by the fact that the context in which data are used varies based on the function/role in the product lifecycle that is interacting with the data. Holistically, the data across the product lifecycle must be considered an unstructured data set because multiple data repositories and domain-specific schema exist in each phase of the lifecycle. This paper explores a concept called the lifecycle information framework and technology (LIFT). LIFT is a conceptual framework for lifecycle information management and the integration of emerging and existing technologies, which together form the basis of a research agenda for dynamic information modeling in support of digital-data curation and reuse in manufacturing. This paper provides a discussion of the existing technologies and activities that the LIFT concept leverages. Also, the paper describes the motivation for applying such work to the domain of manufacturing. Then, the LIFT concept is discussed in detail, while underlying technologies are further examined and a use case is detailed. Lastly, potential impacts are explored.

scholarly journals A Reuse Definition, Assessment, and Analysis Framework for UML

2011 ◽  
pp. 286-307 ◽  
Author(s):  
Donald Needham ◽  
Rodrigo Caballero ◽  
Steven Demurjian ◽  
Felix Eickhoff ◽  
Yi Zhang
Keyword(s):  
Development Time ◽  
Source Code ◽  
Use Case ◽  
Control Center ◽  
Improve Design ◽  
Domain Specific ◽  
Software Artifacts ◽  
Formal Framework ◽  
Software Engineers ◽  
Class Diagrams

This chapter examines a formal framework for reusability assessment of development-time components and classes via metrics, refactoring guidelines, and algorithms. It argues that software engineers seeking to improve design reusability stand to benefit from tools that precisely measure the potential and actual reuse of software artifacts to achieve domain-specific reuse for an organization’s current and future products. The authors consider the reuse definition, assessment, and analysis of a UML design prior to the existence of source code, and include dependency tracking for use case and class diagrams in support of reusability analysis and refactoring for UML. The integration of these extensions into the UML tool Together Control Center to support reusability measurement from design to development is also considered.

A Semantic Knowledge-Based Framework for Information Extraction and Exploration

2021 ◽  
Vol 13 (2) ◽  
pp. 85-109
Author(s):  
Abduladem Aljamel ◽  
Taha Osman ◽  
Dhavalkumar Thakker
Keyword(s):  
Open Data ◽  
Semantic Knowledge ◽  
Unstructured Data ◽  
Specific Information ◽  
Use Case ◽  
Binary Relations ◽  
Semantic Framework ◽  
Domain Specific ◽  
Knowledge Based ◽  
Financial Domain

The availability of online documents that describe domain-specific information provides an opportunity in employing a knowledge-based approach in extracting information from web data. This research proposes a novel comprehensive semantic knowledge-based framework that helps to transform unstructured data to be easily exploited by data scientists. The resultant sematic knowledgebase is reasoned to infer new facts and classify events that might be of importance to end users. The target use case for the framework implementation was the financial domain, which represents an important class of dynamic applications that require the modelling of non-binary relations. Such complex relations are becoming increasingly common in the era of linked open data. This research in modelling and reasoning upon such relations is a further contribution of the proposed semantic framework, where non-binary relations are semantically modelled by adapting the semantic reasoning axioms to fit the intermediate resources in the N-ary relations requirements.

Encapsulation of Complex HPC Services

2012 ◽  
pp. 153-176
Author(s):  
Alexander Kipp ◽  
Ralf Schneider ◽  
Lutz Schubert
Keyword(s):  
Medical Simulation ◽  
Use Case ◽  
It Services ◽  
Specific Knowledge ◽  
Specific Domain ◽  
It Service ◽  
Domain Specific ◽  
Profound Knowledge ◽  
Virtual Organisation ◽  
Domain Specific Knowledge

Developing and providing complex IT services typically enforces the cooperation of several experts from different domains. Beside the domain specific knowledge of every involved expert this typically enforces a profound knowledge of the underlying IT service infrastructures. In this chapter, the authors show how a complex (HPC) IT service product can be provided in an easy-to-use fashion via a service virtualisation infrastructure by referring to a complex medical simulation use case. In particular, they highlight how such a complex IT service can be integrated in a holistic virtual organisation environment and show how different experts from different domains can concentrate on their specific domain whilst being enabled to take advantage of the services provided by other experts / domains in a SOA like fashion.

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