21 research outputs found
The 1989 Goddard Conference on Space Applications of Artificial Intelligence
The following topics are addressed: mission operations support; planning and scheduling; fault isolation/diagnosis; image processing and machine vision; data management; and modeling and simulation
Satellite provided customer premise services: A forecast of potential domestic demand through the year 2000. Volume 3: Appendices
Voice applications, data applications, video applications, impacted baseline forecasts, market distribution, potential CPS (customers premises services) user classes, net long haul forecasts, CPS cost analysis, overall satellite forecast, CPS satellite market, Ka-band CPS satellite forecast, nationwide traffic distribution model, and intra-urban topology are discussed
NASA Tech Briefs, June 1993
Topics include: Imaging Technology: Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences
Reinforcement Learning Approach for Autonomous UAV Navigation in 3D Space
In the last two decades, the rapid development of unmanned aerial vehicles (UAVs) resulted in their usage for a wide range of applications. Miniaturization and cost reduction of electrical components have led to their commercialization, and today they can be utilized for various tasks in an unknown environment. Finding the optimal path based on the start and target pose information is one of the most complex demands for any intelligent UAV system. As this problem requires a high level of adaptability and learning capability of the UAV, the framework based
on reinforcement learning is proposed for the localization and navigation tasks. In this paper, Q-learning algorithm for the autonomous navigation of the UAV in 3D space is implemented. To test the proposed methodology for UAV intelligent control, the simulation is conducted in ROS-Gazebo environment. The obtained simulation results have shown that the UAV can reach the target pose autonomously in an efficient way
Reinforcement Learning Approach for Autonomous UAV Navigation in 3D Space
In the last two decades, the rapid development of unmanned aerial vehicles (UAVs) resulted in their usage for a wide range of applications. Miniaturization and cost reduction of electrical components have led to their commercialization, and today they can be utilized for various tasks in an unknown environment. Finding the optimal path based on the start and target pose information is one of the most complex demands for any intelligent UAV system. As this problem requires a high level of adaptability and learning capability of the UAV, the framework based
on reinforcement learning is proposed for the localization and navigation tasks. In this paper, Q-learning algorithm for the autonomous navigation of the UAV in 3D space is implemented. To test the proposed methodology for UAV intelligent control, the simulation is conducted in ROS-Gazebo environment. The obtained simulation results have shown that the UAV can reach the target pose autonomously in an efficient way
(Dis)Obedience in Digital Societies: Perspectives on the Power of Algorithms and Data
Algorithms are not to be regarded as a technical structure but as a social phenomenon - they embed themselves, currently still very subtle, into our political and social system. Algorithms shape human behavior on various levels: they influence not only the aesthetic reception of the world but also the well-being and social interaction of their users. They act and intervene in a political and social context. As algorithms influence individual behavior in these social and political situations, their power should be the subject of critical discourse - or even lead to active disobedience and to the need for appropriate tools and methods which can be used to break the algorithmic power
(Dis)Obedience in Digital Societies
Algorithms are not to be regarded as a technical structure but as a social phenomenon - they embed themselves, currently still very subtle, into our political and social system. Algorithms shape human behavior on various levels: they influence not only the aesthetic reception of the world but also the well-being and social interaction of their users. They act and intervene in a political and social context. As algorithms influence individual behavior in these social and political situations, their power should be the subject of critical discourse - or even lead to active disobedience and to the need for appropriate tools and methods which can be used to break the algorithmic power
NASA Tech Briefs, August 1996
Topics covered include: Graphics and Simulation; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery/Automation; Manufacturing/Fabrication; Mathematics and Information Sciences; Life Sciences; Books and Report
ASTRAL PROJECTION: THEORIES OF METAPHOR, PHILOSOPHIES OF SCIENCE, AND THE ART O F SCIENTIFIC VISUALIZATION
This thesis provides an intellectual context for my work in computational
scientific visualization for large-scale public outreach in venues such as digitaldome
planetarium shows and high-definition public television documentaries. In
my associated practicum, a DVD that provides video excerpts, 1 focus especially on
work I have created with my Advanced Visualization Laboratory team at the
National Center for Supercomputing Applications (Champaign, Illinois) from
2002-2007.
1 make three main contributions to knowledge within the field of computational
scientific visualization. Firstly, I share the unique process 1 have pioneered for
collaboratively producing and exhibiting this data-driven art when aimed at popular
science education. The message of the art complements its means of production:
Renaissance Team collaborations enact a cooperative paradigm of evolutionary
sympathetic adaptation and co-creation.
Secondly, 1 open up a positive, new space within computational scientific
visualization's practice for artistic expression—especially in providing a theory of
digi-epistemology that accounts for how this is possible given the limitations
imposed by the demands of mapping numerical data and the computational models
derived from them onto visual forms. I am concerned not only with liberating
artists to enrich audience's aesthetic experiences of scientific visualization, to
contribute their own vision, but also with conceiving of audiences as co-creators of
the aesthetic significance of the work, to re-envision and re-circulate what they
encounter there. Even more commonly than in the age of traditional media, on-line
social computing and digital tools have empowered the public to capture and
repurpose visual metaphors, circulating them within new contexts and telling new
stories with them.
Thirdly, I demonstrate the creative power of visaphors (see footnote, p. 1) to
provide novel embodied experiences through my practicum as well as my thesis
discussion. Specifically, I describe how the visaphors my Renaissance Teams and I
create enrich the Environmentalist Story of Science, essentially promoting a
counter-narrative to the Enlightenment Story of Science through articulating how
humanity participates in an evolving universal consciousness through our embodied
interaction and cooperative interdependence within nested, self-producing
(autopoetic) systems, from the micro- to the macroscopic. This contemporary
account of the natural world, its inter-related systems, and their dynamics may be
understood as expressing a creative and generative energy—a kind of
consciousness-that transcends the human yet also encompasses it
Performance analysis for wireless G (IEEE 802.11G) and wireless N (IEEE 802.11N) in outdoor environment
This paper described an analysis the different
capabilities and limitation of both IEEE technologies that has been utilized for data transmission directed to mobile device. In this work, we have compared an IEEE 802.11/g/n outdoor environment to know what technology is better. The comparison consider on coverage area (mobility), throughput and measuring the interferences. The work presented here is to help the researchers to select the best technology depending of their deploying case, and investigate the best variant for outdoor. The tool used is Iperf software which is to measure the data transmission performance of IEEE 802.11n and IEEE 802.11g