As a proof of concept, we developed a Java implementation of the resulting interface: Starting with a top-down approach, we implemented resources and methods using the Jersey framework for RESTful web services [ 11].
To ease the adoption of the new approach, we implemented two software tools that automate the main tasks.
To validate our approach, we implemented a prototype tool and experimented it with heterogeneous conference management systems.
In addition to this passive approach, we implemented an active approach where periodic Hello packets are transmitted by each node in the network.
To show the feasibility of our approach, we implemented a prototype for the proposed self-adaptive fuzzing algorithm (as depicted in Fig. 1).
For evaluation of our approach, we implemented the proposed framework on a service robot, iRobiQ, and simulated the human-robot interaction.
Using a community engagement-One Health approach, we implemented a training program aimed at advancing these skills among agro-pastoralists living adjacent to conservation areas in South Africa.
To demonstrate the effectiveness of the proposed approach, we implemented our approach into Linaro's scheduling framework on ARM's Versatile Express TC2 board and performed a series of experiments using the PARSEC benchmarks.
To validate the PaaSHopper middleware in the context of these scenarios, we adopted a prototype-driven approach: we implemented a prototype of the document processing application on top of the PaaSHopper middleware (Section 1).
Finally, in order to verify the proposed approach, we implemented practically a similar discrete circuit as proof-of-concept prototype that it obtained input referred 1-dB compression point value with an error of about 0.15 dBm.
