3,924 resources related to Ocean Waves
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To promote awareness, understanding, advancement and application of ocean engineering and marine technology. This includes all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.
International Geosicence and Remote Sensing Symposium (IGARSS) is the annual conference sponsored by the IEEE Geoscience and Remote Sensing Society (IEEE GRSS), which is also the flagship event of the society. The topics of IGARSS cover a wide variety of the research on the theory, techniques, and applications of remote sensing in geoscience, which includes: the fundamentals of the interactions electromagnetic waves with environment and target to be observed; the techniques and implementation of remote sensing for imaging and sounding; the analysis, processing and information technology of remote sensing data; the applications of remote sensing in different aspects of earth science; the missions and projects of earth observation satellites and airborne and ground based campaigns. The theme of IGARSS 2019 is “Enviroment and Disasters”, and some emphases will be given on related special topics.
The Annual IEEE PES General Meeting will bring together over 2900 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutorials and more
Research, Development, and Operations pertaining to the Oceans
We welcome traditional topics in GIS Science and also encourage papers on new and emergent themes including but not limit to: Smart City, Sensor network for GIS, Spatiotemporal Data Analysis, Big Data, Internet of Things for GIS, Urban GIS and application, Environment GIS and application, Geospatial cloud computing, Geospatial data sharing and interoperability, Multi-dimensional spatial data modeling, VGI and Crowdsourcing, Remote sensing sciences and applications. To address societal issues, such as climate change, precision medicine, urban mobility, crime analysis, migration, disaster, and environmental sustainability. These include, but not limited to, population, urban development, and environment. Papers from a wide range of disciplines related to Geographic Information Sciences are invited, including: Geography, Cognitive science, Computer science, Engineering, Information science, Social science, Urban Planning, among many others.
Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.
Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.
It is expected that GRS Letters will apply to a wide range of remote sensing activities looking to publish shorter, high-impact papers. Topics covered will remain within the IEEE Geoscience and Remote Sensing Societys field of interest: the theory, concepts, and techniques of science and engineering as they apply to the sensing of the earth, oceans, atmosphere, and space; and ...
Theory, concepts, and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.
Theory and applications of industrial electronics and control instrumentation science and engineering, including microprocessor control systems, high-power controls, process control, programmable controllers, numerical and program control systems, flow meters, and identification systems.
2007 IEEE International Geoscience and Remote Sensing Symposium, 2007
A 6-parameter frequency spectrum with two peaks and a cos-2s type spreading function is used to simulate the mixed waves. The spaceborne and airborne synthetic aperture radar (SAR) image cross spectra of mixed waves in different significant wave height, wave length, wave direction and wave component are then calculated by using Engen's nonlinear transformation formula. Analysis based on above simulation ...
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
Surface Wave Investigation and Monitoring (SWIM) will be launched on board the Chinese French Ocean SATellite (CFOSAT) in 2018. This paper proposes a joint method to simultaneously retrieve wave spectra at different scales from spaceborne Synthetic Aperture Radar (SAR) and CFOSAT SWIM wave spectrometer data. The method combines the output from the two different sensors to overcome retrieval limitations that ...
IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2003
Accurate knowledge of the kinematics and dynamics of ocean waves as they shoal and break in even the simplest morphological situation is a major challenge of current research. The resulting energy flux and radiation stresses drive nearshore turbulence and currents, and these scour up and transport sediments in prodigious amounts during storms. In addition, the high dynamic forces during breaking ...
2018 Advances in Science and Engineering Technology International Conferences (ASET), 2018
One of the main issues that this world is suffering from is the pollution caused by the CO<sub>2</sub>emissions due to the use of fossil fuels. The second issue is the limitation of the fossil fuel resources that will perish in the near future. Since the discovery of these issues, research has been funded to discover new methods for using renewable ...
2017 4th International Conference on Information, Cybernetics and Computational Social Systems (ICCSS), 2017
A method of nonlinear information analysis of measured ocean waves based on inverse scattering transform(IST) is presented herein. Furthermore, a significant step to apply this method and the criteria that must be satisfied is also shown. Using this method can help us study nonlinear properties of ocean waves, including surface and internal soliton danamics, rogue waves, coustic waves and vortex ...
2011 IEEE Dennis J. Picard Medal for Radar Technologies and Applications - James M. Headrick
NeXOS: Observations Supporting Ocean Sustainability (short version)
NeXOS: Observations Supporting Ocean Sustainability
Brooklyn 5G Summit: Tactile Internet: mm-Waves versus cm-Waves
Probing the Universe with Gravitational Waves - Applied Superconductivity Conference 2018
Signal Processing and Machine Learning
Brooklyn 5G Summit 2014: Unleashing Millimeter-Wave Frequency by Andreas Roessler
IEEE Magnetics Distinguished Lecture - Mitsuteru Inoue
Capturing Sound with Smoke and Lasers
Brooklyn 5G Summit: Going the Distance with CMOs: mm-Waves and Beyond
Data and Algorithmic Bias in the Web - Ricardo Baeza-Yates - WCCI 2016
Brooklyn 5G - 2015 - Ali M. Niknejad - Going the Distance with CMOS: mm-Waves and Beyond
The Josephson Effect: The Original SQUIDs
Brooklyn 5G Summit 2014: Channel Measurements Summary by Ted Rappaport
IEEE Magnetics Distinguished Lecture - Alison B. Flatau
Enabling the Reproducibility of Your Research: IEEE Author Education
Superconducting Detectors for Astrophysics and Cosmology - ASC-2014 Plenary series - 9 of 13 - Thursday 2014/8/14
Augmented Reality: Stan Honey's Impact on Sports Events and Navigation
Worms, Waves, and Robots
A 6-parameter frequency spectrum with two peaks and a cos-2s type spreading function is used to simulate the mixed waves. The spaceborne and airborne synthetic aperture radar (SAR) image cross spectra of mixed waves in different significant wave height, wave length, wave direction and wave component are then calculated by using Engen's nonlinear transformation formula. Analysis based on above simulation indicate that (1) the cross spectra of mixed waves dilate in range direction and shrink in azimuth direction (the so-called azimuth cutoff effect); (2) the cutoff effect increases for waves with larger wave height, or for waves with shorter wave length, or for waves propagating closer the azimuth direction, or for waves containing more wind wave component, or for spaceborne SAR; (3) the cross spectra split into two parts for waves propagating along range direction (the so-called double-peak phenomenon); (4) the direction ambiguity of ocean waves can be removed by using the imaginary part of cross spectra; (5) in addition to the contribution of wind wave part and swell part of the mixed waves, the cross spectra of mixed waves consist of an extra term which leads to an inherent error when using ESA's Envisat ASAR level 2 algorithm to retrieve ocean waves (see the companion paper submited to this symposium).
Surface Wave Investigation and Monitoring (SWIM) will be launched on board the Chinese French Ocean SATellite (CFOSAT) in 2018. This paper proposes a joint method to simultaneously retrieve wave spectra at different scales from spaceborne Synthetic Aperture Radar (SAR) and CFOSAT SWIM wave spectrometer data. The method combines the output from the two different sensors to overcome retrieval limitations that occur in some sea states. The wave spectrometer sensitivity coefficient is estimated using an effective significant wave height (SWH), which is an average of SAR-derived and wave spectrometer-derived SWH. This averaging extends the area of the sea surface sampled by the nadir beam of the wave spectrometer to improve the accuracy of the estimated sensitivity coefficient in inhomogeneous sea states. Wave spectra are then retrieved from SAR data using wave spectrometer-derived spectra as first guess spectra to complement the short waves lost in SAR data retrieval. In addition, the problem of 180° ambiguity in retrieved spectra is overcome using SAR imaginary cross spectra.
Accurate knowledge of the kinematics and dynamics of ocean waves as they shoal and break in even the simplest morphological situation is a major challenge of current research. The resulting energy flux and radiation stresses drive nearshore turbulence and currents, and these scour up and transport sediments in prodigious amounts during storms. In addition, the high dynamic forces during breaking are a danger to safety of engineering surveying, construction and military operations. This paper describes a new technique for measuring ocean waves, observing these processes and calculating many of the important underlying parameters. A time series of optical images is collected from an aircraft, these are registered to a stationary, geodetic coordinate system on the surface, and 3-D cubes of these data are Fourier transformed to calculate 3-D frequency-wavenumber spectra. These are examined for wave information, including measuring their dispersion, which is interesting in its own right but also used to retrieve the water depth and current field in which the waves are propagating.
One of the main issues that this world is suffering from is the pollution caused by the CO<sub>2</sub>emissions due to the use of fossil fuels. The second issue is the limitation of the fossil fuel resources that will perish in the near future. Since the discovery of these issues, research has been funded to discover new methods for using renewable energy and to improve the efficiency of the conversion of these energy sources to useful work. One of the renewable energy sources that is available all around the world is from the ocean waves. This paper will be discussing about the origin of the ocean waves energy and how the energy is carried by these waves, the different methods of converting this energy form to a useful energy and the feasibility study of this natural energy resource in the United Arab Emirates (UAE).
A method of nonlinear information analysis of measured ocean waves based on inverse scattering transform(IST) is presented herein. Furthermore, a significant step to apply this method and the criteria that must be satisfied is also shown. Using this method can help us study nonlinear properties of ocean waves, including surface and internal soliton danamics, rogue waves, coustic waves and vortex dynamics.
Generates 3D ocean waves numerically and evaluates the pulse train backscattered from them. The pulse train needs to have the same statistical properties as the real ones, e.g. the pulse trains obtained by SKYLAB and SEASAT altimeters. The authors use the raw scattering data for a known model of ocean waves, obtain the pulse train by computer simulation, calculate the mean pulse response and the pulse-to-pulse correlation coefficient, compare their results with data of the current altimeters and investigate the validity of the computer simulation. The authors assume that the ocean wave models are characterized by the Pierson-Moskowitz spectrum of the deep sea. The authors then approximate the spectrum by using more than 11 line spectra. Evaluating the characteristics of the mean pulse response and the pulse-to-pulse correlation coefficient, the authors consider the efficacy of this simulation and the improvement in the computation time.
In this paper we develop a simple model for the polarimetric radar backscatter from breaking ocean waves. We show that the dynamics of the breaking process lead to characteristic variations in the wave depolarization processes. We compare the model prediction with X-band grazing incidence radar data collected for breaking ocean waves in the surf zone.
Radar signatures of spatially varying surface currents, such as found over underwater bottom topography in tidal waters, are often underestimated by theoretical models. After the development of advanced radar backscattering models which account for contributions of the entire ocean wave spectrum, this is usually attributed to shortcomings of existing wave-current interaction theories. In this paper we discuss results of a comprehensive analysis of radar images and in-situ wave and wind data that were acquired during the C-STAR experiment over underwater bottom topography in the North Sea. As expected, measured radar signatures and intensity variations of short waves are underestimated by a conventional model. Clear improvement is obtained after introducing a modified equilibrium wave spectrum and spatial wind stress variations as given by buoy data. Our results suggest that a surface roughness-wind stress feedback mechanism exists, which leads to a coupling between intensity variations of short ripple waves and longer waves via interaction with the wind field.
The JERS-1 synthetic aperture radar (SAR) was primarily designed for global land observation with its moderate incidence angle, and accordingly it is considered as being not suitable for oceanic applications. The authors show that the JERS-1 SAR can be applied to deriving ocean wave spectra and determining the wave propagation direction. Successive individual sub-images of ocean waves are first produced using split-look processing. This processing technique has an inherent property that the sequential sub-images are formed at different discretely delayed times; and hence wave propagation direction can be determined from these displaced sub-images. Although the images of ocean surfaces have low signal-to-noise ratio, the JERS-1 SAR has, being L-band, an advantage over C-band spaceborne SARs of having a longer integration time. Longer integration times imply longer inter-look time difference, suitable for the wave analysis using split-look processing. In order to demonstrate the capability of the JERS-1 SAR for wave imagery, the method of spectral phase shift, also known as weighted cross-spectra is applied to the wave data collected near the coasts of Japan. The method is compared with the standard Fourier transform spectra and the cross-correlation function of split-look images; and applications to improving wave forecast models are suggested using the ALOS-PALSAR (to be launched in 2002 by NASDA) which has even longer integration times than the JERS-1 SAR.
This work proposes a concept for efficiently capturing the power of ocean waves. Many concepts have been pursued for over 100 years, but none have proven to be commercially viable for widespread operation. The waves offer a significant source of renewable energy and 60% of the world's population lives within 100 miles of a coastline. The concept proposed is designed to overcome the difficulties of destruction due to severe storms and bio fouling -the degraded operation, of precision components in a corrosive environment. The author has developed a working model, constructed of "low tech" building materials that demonstrated continuous turning of a large flywheel, moment of inertia of 250kg m/sup 2/, for over one hour. The patented concept offers a means for rapidly establishing the energy capture mechanism and keeping the critical precision components protected from the ocean environment. Building on this success, a large-scale demonstration is proposed to assess performance of a commercially viable configuration.
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