While individual components for semantic data integration are commonly available, end-to-end solutions are rare. We demonstrate DataOps, a seamless Anything-to-RDF semantic data integration toolkit. DataOps supports the integration of both semantic and non-semantic data from an extensible host of different formats. Setting up data sources end-to-end works in three steps: (1) accessing the data ...

Data-driven computational science on community computational resources is frequently of a magnitude and scale that it requires that computations be done remotely, generating resulting data collections that are too large to be shipped back to a user’s workstation. Service-oriented middleware is well equipped to carry out actions on behalf of a user, but SOA middleware does not address user trust...

A secure end-to-end data transport protocol in quantum network is presented. A quantum network means we transport data by encoding a data into a certain quantum state on a qubit, and transmitting the qubit from sender to receiver. Because of the network scalability and physical technology limit in long distance teleportation, a fully connected quantum network model is impossible. Hence, in our ...

As autonomous robots are becoming more widespread, attention is being paid to the security of robotic operations. Autonomous can be seen as cyber–physical systems: they operate in virtual, physical, and human realms. Therefore, securing operations requires not only their data (e.g., sensor inputs mission instructions) but interactions with environment. There currently a deficiency methods that ...

We describe a novel application of the end-to-end deep learning technique to task discriminating top quark-initiated jets from those originating hadronization light quark or gluon. The combines algorithms and low-level detector representation high-energy collision event. In this study, we use lowlevel information simulated CMS Open Data samples construct jet classifiers. To optimize classifier ...

We introduce a novel approach for annotating large quantity of in-the-wild facial images with high-quality posterior age distribution as labels. Each posterior provides a probability distribution of estimated ages for a face. Our approach is motivated by observations that it is easier to distinguish who is the older of two people than to determine the person’s actual age. Given a reference data...

Researches on green data centers have defined guidelines and end-to-end methodologies to increase energy efficiency. Most of these approaches require a disrupting reengineering of the infrastructure and significant upfront investments. Smaller data centers need to reach green objectives with a more incremental approach. The EnergIT project proposes a methodology and related tools that support t...

In this paper, we focus on the performance of TCP splitting in satellite-terrestrial hybrid networks. By simulation we show that long-time link outage has great negative impact on TCP throughput. To solve the problem, an ACK reservation scheme is proposed to speed up TCP recovery from link outage and analytical estimate of a key parameter of the scheme is provided for achieving high end-to-end ...