A Hardware-Software Platform for Intrusion Prevention

Summary: the article proposes new software platform for automating the processes of preprocessing and marking up datasets with the aim of further solving analytical problems such as image classification and processing textual and parametric information using neural network technologies. The software platform uses modern technologies and combines a large number of methods in the form of a modular platform, which can be supplemented as the tasks of analytical data processing become more complicated. The need to develop such a software platform is dictated primarily by the fact that, given the current level of data volume growth, the actual transition to deep data analytics remains unattainable without such software platforms, since confidentiality, access to information and the use of external data processing resources are required.

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Development of a Software Platform Based on Haptic Device for Surgery Simulators

International Congress on Human-Computer Interaction, Optimization and Robotic Applications Proceedings ◽

10.36287/setsci.4.5.004 ◽

2019 ◽

Author(s):

Nazmiye Ebru Duysak ◽

Emre Dandil ◽

Alpaslan Duysak

Keyword(s):

Haptic Device ◽

Software Platform

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Integrated multi-modality image-guided navigation for neurosurgery: open-source software platform using state-of-the-art clinical hardware

International Journal of Computer Assisted Radiology and Surgery ◽

10.1007/s11548-021-02374-5 ◽

2021 ◽

Author(s):

Jonathan Shapey ◽

Thomas Dowrick ◽

Rémi Delaunay ◽

Eleanor C. Mackle ◽

Stephen Thompson ◽

...

Keyword(s):

Skull Base ◽

Open Source ◽

Open Source Software ◽

Skull Base Surgery ◽

Patient Specific ◽

Software Platform ◽

Image Guided ◽

Phantom Model ◽

Technical Requirements ◽

Navigated Ultrasound

Abstract Purpose Image-guided surgery (IGS) is an integral part of modern neuro-oncology surgery. Navigated ultrasound provides the surgeon with reconstructed views of ultrasound data, but no commercial system presently permits its integration with other essential non-imaging-based intraoperative monitoring modalities such as intraoperative neuromonitoring. Such a system would be particularly useful in skull base neurosurgery. Methods We established functional and technical requirements of an integrated multi-modality IGS system tailored for skull base surgery with the ability to incorporate: (1) preoperative MRI data and associated 3D volume reconstructions, (2) real-time intraoperative neurophysiological data and (3) live reconstructed 3D ultrasound. We created an open-source software platform to integrate with readily available commercial hardware. We tested the accuracy of the system’s ultrasound navigation and reconstruction using a polyvinyl alcohol phantom model and simulated the use of the complete navigation system in a clinical operating room using a patient-specific phantom model. Results Experimental validation of the system’s navigated ultrasound component demonstrated accuracy of $$<4.5\,\hbox {mm}$$ < 4.5 mm and a frame rate of 25 frames per second. Clinical simulation confirmed that system assembly was straightforward, could be achieved in a clinically acceptable time of $$<15\,\hbox {min}$$ < 15 min and performed with a clinically acceptable level of accuracy. Conclusion We present an integrated open-source research platform for multi-modality IGS. The present prototype system was tailored for neurosurgery and met all minimum design requirements focused on skull base surgery. Future work aims to optimise the system further by addressing the remaining target requirements.

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A Generic Streaming Software Platform Design for High-energy Physics Data Acquisition Systems

IEEE Transactions on Nuclear Science ◽

10.1109/tns.2021.3050140 ◽

2021 ◽

pp. 1-1

Author(s):

Tianxing Wang ◽

Junfeng Yang ◽

Hongchao Wang ◽

Hongwei Yu ◽

Zhengyang Sun ◽

...

Keyword(s):

Data Acquisition ◽

High Energy Physics ◽

High Energy ◽

Software Platform ◽

Platform Design ◽

Data Acquisition Systems ◽

Energy Physics

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