7,420 research outputs found
Model driven design and implementation of activity-based applications in Hermes
Hermes is an agent-based middleware structured
as a component-based and 3-layered software architecture.
Hermes provides an integrated, exible programming
environment for design and execution of activity-based
applications in distributed environments. By using workow
technology, it supports even a non expert user programmer
in the model driven design and implementation of a domain
specic application. In this paper, after a description of
Hermes software architecture, we provide a simple demo
in biological domain and we show some real case studies in
which Hermes has been validated
Mandate-driven networking eco-system : a paradigm shift in end-to-end communications
The wireless industry is driven by key stakeholders that follow a holistic approach of "one-system-fits-all" that leads to moving network functionality of meeting stringent End-to-End (E2E) communication requirements towards the core and cloud infrastructures. This trend is limiting smaller and new players for bringing in new and novel solutions. For meeting these E2E requirements, tenants and end-users need to be active players for bringing their needs and innovations. Driving E2E communication not only in terms of quality of service (QoS) but also overall carbon footprint and spectrum efficiency from one specific community may lead to undesirable simplifications and a higher level of abstraction of other network segments may lead to sub-optimal operations. Based on this, the paper presents a paradigm shift that will enlarge the role of wireless innovation at academia, Small and Medium-sized Enterprises (SME)'s, industries and start-ups while taking into account decentralized mandate-driven intelligence in E2E communications
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Space-Based Capstone: Public-Private-Academic Partnership in the Making
The Electronic Systems Engineering Technology (ESET) Program at Texas A&M University provides a recognized undergraduate program with an emphasis in electronics, communication, embedded systems, testing, instrumentation and control systems. The program combines engineering and industrial knowledge and methods to develop, design, and implement new innovative products through a two-semester long Senior Capstone Project.
Capstone is designed to prepare future engineers by bridging the gap between the classroom and industry. Students are required to form teams of two to six members which allows them to develop the skills necessary to succeed in a diverse industry setting. Each team is required to use their knowledge and skills to design, develop, document, and deliver a real-world project equivalent to the assignments they will soon receive as professional engineers.
Following NASAâs approval for funding the development of a research facility named Hermes, a Capstone team, named Microgravity Automated Research Systems (MARS), was sponsored by T STAR, a local space commercialization company, to develop the electronics portion of the facility. Hermes will reside on the International Space Station for five years in the hopes of streamlining the development of experiments that require extended periods of time in microgravity environments.
The Hermes facility will host and manage up to four experiments at a time while allowing for the downlink of experiment data to an Earth station, and the uplink of commands to change experiment parameters. Experiments will adhere to a power budget and communication standard established by MARS so that experiments can be swapped out during the facilityâs lifetime. MARS will work with the Mobile Integrated Solutions Laboratory (MISL), an undergraduate applied research lab, in order to prepare them to maintain support for Hermes in the future.Cockrell School of Engineerin
A Semantic Framework for Declarative and Procedural Knowledge
In any scientic domain, the full set of data and programs has reached an-ome status, i.e. it has grown massively. The original article on the Semantic Web describes the evolution of a Web of actionable information, i.e.\ud
information derived from data through a semantic theory for interpreting the symbols. In a Semantic Web, methodologies are studied for describing, managing and analyzing both resources (domain knowledge) and applications (operational knowledge) - without any restriction on what and where they\ud
are respectively suitable and available in the Web - as well as for realizing automatic and semantic-driven work\ud
ows of Web applications elaborating Web resources.\ud
This thesis attempts to provide a synthesis among Semantic Web technologies, Ontology Research, Knowledge and Work\ud
ow Management. Such a synthesis is represented by Resourceome, a Web-based framework consisting of two components which strictly interact with each other: an ontology-based and domain-independent knowledge manager system (Resourceome KMS) - relying on a knowledge model where resource and operational knowledge are contextualized in any domain - and a semantic-driven work ow editor, manager and agent-based execution system (Resourceome WMS).\ud
The Resourceome KMS and the Resourceome WMS are exploited in order to realize semantic-driven formulations of work\ud
ows, where activities are semantically linked to any involved resource. In the whole, combining the use of domain ontologies and work ow techniques, Resourceome provides a exible domain and operational knowledge organization, a powerful engine for semantic-driven work\ud
ow composition, and a distributed, automatic and\ud
transparent environment for work ow execution
A sustained ocean observing system in the Indian Ocean for climate related scientific knowledge and societal needs
© The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Hermes, J. C., Masumoto, Y., Beal, L. M., Roxy, M. K., Vialard, J., Andres, M., Annamalai, H., Behera, S., D'Adamo, N., Doi, T., Peng, M., Han, W., Hardman-Mountford, N., Hendon, H., Hood, R., Kido, S., Lee, C., Lees, T., Lengaigne, M., Li, J., Lumpkin, R., Navaneeth, K. N., Milligan, B., McPhaden, M. J., Ravichandran, M., Shinoda, T., Singh, A., Sloyan, B., Strutton, P. G., Subramanian, A. C., Thurston, S., Tozuka, T., Ummenhofer, C. C., Unnikrishnan, A. S., Venkatesan, R., Wang, D., Wiggert, J., Yu, L., & Yu, W. (2019). A sustained ocean observing system in the Indian Ocean for climate related scientific knowledge and societal needs. Frontiers in Marine Science, 6, (2019): 355, doi: 10.3389/fmars.2019.00355.The Indian Ocean is warming faster than any of the global oceans and its climate is uniquely driven by the presence of a landmass at low latitudes, which causes monsoonal winds and reversing currents. The food, water, and energy security in the Indian Ocean rim countries and islands are intrinsically tied to its climate, with marine environmental goods and services, as well as trade within the basin, underpinning their economies. Hence, there are a range of societal needs for Indian Ocean observation arising from the influence of regional phenomena and climate change on, for instance, marine ecosystems, monsoon rains, and sea-level. The Indian Ocean Observing System (IndOOS), is a sustained observing system that monitors basin-scale ocean-atmosphere conditions, while providing flexibility in terms of emerging technologies and scientificand societal needs, and a framework for more regional and coastal monitoring. This paper reviews the societal and scientific motivations, current status, and future directions of IndOOS, while also discussing the need for enhanced coastal, shelf, and regional observations. The challenges of sustainability and implementation are also addressed, including capacity building, best practices, and integration of resources. The utility of IndOOS ultimately depends on the identification of, and engagement with, end-users and decision-makers and on the practical accessibility and transparency of data for a range of products and for decision-making processes. Therefore we highlight current progress, issues and challenges related to end user engagement with IndOOS, as well as the needs of the data assimilation and modeling communities. Knowledge of the status of the Indian Ocean climate and ecosystems and predictability of its future, depends on a wide range of socio-economic and environmental data, a significant part of which is provided by IndOOS.This work was supported by the PMEL contribution no. 4934
Status Report of the DPHEP Study Group: Towards a Global Effort for Sustainable Data Preservation in High Energy Physics
Data from high-energy physics (HEP) experiments are collected with
significant financial and human effort and are mostly unique. An
inter-experimental study group on HEP data preservation and long-term analysis
was convened as a panel of the International Committee for Future Accelerators
(ICFA). The group was formed by large collider-based experiments and
investigated the technical and organisational aspects of HEP data preservation.
An intermediate report was released in November 2009 addressing the general
issues of data preservation in HEP. This paper includes and extends the
intermediate report. It provides an analysis of the research case for data
preservation and a detailed description of the various projects at experiment,
laboratory and international levels. In addition, the paper provides a concrete
proposal for an international organisation in charge of the data management and
policies in high-energy physics
Report No. 28: Review of Methodologies Applied for the Assessment of Employment and Social Impacts
Joint report with ECORYS Netherlands for the DG Employment, Social Affairs and Equal Opportunities of the European Commission, Bonn 2010 (217 pages)
Public entities driven robotic innovation in urban areas
Cities present new challenges and needs to satisfy and improve lifestyle for their citizens under the concept âSmart Cityâ. In order to achieve this goal in a global manner, new technologies are required as the robotic one. But Public entities unknown the possibilities offered by this technology to get solutions to their needs. In this paper the development of the Innovative Public Procurement instruments is explained, specifically the process PDTI (Public end Users Driven Technological Innovation) as a driving force of robotic research and development and offering a list of robotic urban challenges proposed by European cities that have participated in such a process. In the next phases of the procedure, this fact will provide novel robotic solutions addressed to public demand that are an example to be followed by other Smart Cities.Peer ReviewedPostprint (author's final draft
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