Journal: Software and Systems Modeling

Article Title: Runtime translation of OCL-like statements on Simulink models: Expanding domains and optimising queries

doi: 10.1007/s10270-021-00910-0

Figure Lengend Snippet: Example MATLAB/Simulink model

Article Snippet: In light of the impact that reducing the number of exchanges with the MATLAB Java API has, future work will involve investigating optimisations of more complex collect- and select-based arguments so they can be transformed into a single complex MATLAB function that only requires to be sent once.

Techniques:

Journal: Software and Systems Modeling

Article Title: Runtime translation of OCL-like statements on Simulink models: Expanding domains and optimising queries

doi: 10.1007/s10270-021-00910-0

Figure Lengend Snippet: Example of MATLAB/Stateflow model elements

Article Snippet: In light of the impact that reducing the number of exchanges with the MATLAB Java API has, future work will involve investigating optimisations of more complex collect- and select-based arguments so they can be transformed into a single complex MATLAB function that only requires to be sent once.

Techniques:

Journal: Software and Systems Modeling

Article Title: Runtime translation of OCL-like statements on Simulink models: Expanding domains and optimising queries

doi: 10.1007/s10270-021-00910-0

Figure Lengend Snippet: MATLAB Project Structure

Article Snippet: In light of the impact that reducing the number of exchanges with the MATLAB Java API has, future work will involve investigating optimisations of more complex collect- and select-based arguments so they can be transformed into a single complex MATLAB function that only requires to be sent once.

Techniques:

Journal: Software and Systems Modeling

Article Title: Runtime translation of OCL-like statements on Simulink models: Expanding domains and optimising queries

doi: 10.1007/s10270-021-00910-0

Figure Lengend Snippet: Size of the imported EMF models against the original MATLAB files

Article Snippet: In light of the impact that reducing the number of exchanges with the MATLAB Java API has, future work will involve investigating optimisations of more complex collect- and select-based arguments so they can be transformed into a single complex MATLAB function that only requires to be sent once.

Techniques:

Journal: Software and Systems Modeling

Article Title: Runtime translation of OCL-like statements on Simulink models: Expanding domains and optimising queries

doi: 10.1007/s10270-021-00910-0

Figure Lengend Snippet: Execution-time duration in log-scale against MATLAB/Simulink model file size per stage of the validation process

Article Snippet: In light of the impact that reducing the number of exchanges with the MATLAB Java API has, future work will involve investigating optimisations of more complex collect- and select-based arguments so they can be transformed into a single complex MATLAB function that only requires to be sent once.

Techniques: Biomarker Discovery

Journal: Software and Systems Modeling

Article Title: Runtime translation of OCL-like statements on Simulink models: Expanding domains and optimising queries

doi: 10.1007/s10270-021-00910-0

Figure Lengend Snippet: Total execution-time duration (log-scale) against MATLAB file size. Note that Massif and Massif-Cached overlap.

Article Snippet: In light of the impact that reducing the number of exchanges with the MATLAB Java API has, future work will involve investigating optimisations of more complex collect- and select-based arguments so they can be transformed into a single complex MATLAB function that only requires to be sent once.

Techniques:

Journal: Journal of Cheminformatics

Article Title: libChEBI: an API for accessing the ChEBI database

doi: 10.1186/s13321-016-0123-9

Figure Lengend Snippet: UML class diagram of libChEBIj. All public and protected classes, fields and methods are shown. The Python version, libChEBIpy, follows the same class structure, and these classes are accessible in MATLAB through use of libChEBIm

Article Snippet: The library is accessible through Java, Python and MATLAB APIs, which are described in more detail elsewhere (see Fig. ; Additional file : libChEBI API), with examples of use provided below.

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Journal: Medical Physics

Article Title: CONRAD—A software framework for cone-beam imaging in radiology

doi: 10.1118/1.4824926

Figure Lengend Snippet: Screenshot of an implementation of a GUI using CONRAD. All algorithms that are used are reported with the respective citation. Supported formats are the Medline and BibTeX citations styles.

Article Snippet: Based on MATLAB's Java functionality, the CONRAD API can be incorporated as is into the MATLAB environment.

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Journal: Medical Physics

Article Title: CONRAD—A software framework for cone-beam imaging in radiology

doi: 10.1118/1.4824926

Figure Lengend Snippet: General structure of CONRAD. All algorithms and functions are separated from the user interface. This allows first algorithm design close to a GUI while large scale experiments can be executed on a cluster via command line interface. Of course other applications can also access CONRAD. Many of its algorithms are embedded into ImageJ plugins as an example of the API use.

Article Snippet: Based on MATLAB's Java functionality, the CONRAD API can be incorporated as is into the MATLAB environment.

Techniques:

Journal: Medical Physics

Article Title: CONRAD—A software framework for cone-beam imaging in radiology

doi: 10.1118/1.4824926

Figure Lengend Snippet: Graphical representation of the parallel processing scheme on multiple resources. For the user and the developer of CONRAD parallelizing algorithms is a minor concern: CONRAD plans and distributes a parallel algorithm automatically on the available hardware. The streaming concept in CONRAD allows the use of parallel streams. Here, the processing pipeline for a 3D reconstruction is shown. All data are streamed from a projection source, that is, either a scanner or an offline file through the pipeline. After the projection domain filter, the next three steps can be performed in parallel (here: on four parallel CPUs). This is followed by a step that uses the graphics card exclusively again. Hence, the data have to be buffered and the step cannot be performed in parallel, as there is only 1 GPU in the system. The next step can be performed in parallel again followed by the last step, which collects the data in an image data sink, e.g., a file container.

Article Snippet: Based on MATLAB's Java functionality, the CONRAD API can be incorporated as is into the MATLAB environment.

Techniques:

Journal: Medical Physics

Article Title: CONRAD—A software framework for cone-beam imaging in radiology

doi: 10.1118/1.4824926

Figure Lengend Snippet: CONRAD offers the possibility to reconstruct data from various systems. We show reconstructions using the table top system on the left and a Siemens zeego system shown on the right. Both systems are installed at the Stanford University.

Article Snippet: Based on MATLAB's Java functionality, the CONRAD API can be incorporated as is into the MATLAB environment.

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