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The work was validated through the design and implementation of a Proof of Concept Hardware Trojan that uses two such unintended USB channels to successfully interact with a target network endpoint to compromise and exfiltrate data from it.
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We describe the implementation of a proof-of-concept study for the feasibility of an international collaborative hospital-based active surveillance system for vaccine safety.
In particular, we propose innovative techniques for privacy preservation of IoT data, introduce a privacy preserving IoT Architecture, and also describe the implementation of an efficient proof of concept system that utilises all these to ensure that IoT data remains private.
The main results are presented in Section 'Vendor module role and functionality' where our approach to Vendor Modules is detailed along with use cases for which the solution was designed and in Section 'Proof-of-concept implementation' a proof-of-concept implementation is presented.
In this work, we present the design and implementation of a system for proof explanation in the Semantic Web, based on defeasible reasoning.
This implementation is a proof of concept that it is possible to read and play music directly from written notations.
The success of this implementation is a proof that this algorithm is ready to use at least in cases close to the given example.
It should be noted that for microarrays, this implementation is a proof of concept as there is only a loose correlation between the signal for different probe sets and the absolute amount of the transcripts [ 29, 32].
We here describe how BKS was developed and present the results of the implementation phase as a proof of principle.
Functionally identical implementations of a prototype proof-of-concept software design were constructed in two different languages and tested using a unit-under-test model.
We prove the correctness of this method against the formal semantics for GDL, and we report on extensive experiments with a practical implementation of this proof system, which show that our method of formally proving knowledge is viable for the practice of general game playing.
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