Academic literature on the topic 'Data Processing - Optical Data Processing'

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Journal articles on the topic "Data Processing - Optical Data Processing"

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Teller, J., F. Ozguner, and R. Ewing. "Data processing through optical interfaces." IEEE Aerospace and Electronic Systems Magazine 24, no. 10 (October 2009): 42–43. http://dx.doi.org/10.1109/maes.2009.5317786.

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Vâle, G., and A. Krûminsh. "Active Media for Optical Data Processing." Materials Science Forum 384-385 (January 2002): 329–32. http://dx.doi.org/10.4028/www.scientific.net/msf.384-385.329.

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Wu, Yarning, Liren Liu, and Zhijiang Wang. "Optical programmable shifting for data processing." Applied Optics 32, no. 26 (September 10, 1993): 4989. http://dx.doi.org/10.1364/ao.32.004989.

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Brenner, Karl-Heinz, and Adolf W. Lohmann. "Cyclic shifting for optical data processing." Applied Optics 27, no. 3 (February 1, 1988): 434. http://dx.doi.org/10.1364/ao.27.000434.

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Mehta, P. C. "Recent trends in optical data processing." Hyperfine Interactions 37, no. 1-4 (December 1987): 325–45. http://dx.doi.org/10.1007/bf02395719.

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NAGAE, Sadahiko. "Pattern Recognition by Optical Data Processing (3)." Journal of Graphic Science of Japan 20, no. 2 (1986): 7–13. http://dx.doi.org/10.5989/jsgs.20.2_7.

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MOTOYA, Yoshinobu. "Data Processing Employing an Optical Disk System." Zisin (Journal of the Seismological Society of Japan. 2nd ser.) 41, no. 3 (1988): 411–17. http://dx.doi.org/10.4294/zisin1948.41.3_411.

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Fateev, V. F., and A. P. Aleshkin. "Processing of multiple-site optical measurement data." Journal of Optical Technology 67, no. 7 (July 1, 2000): 634. http://dx.doi.org/10.1364/jot.67.000634.

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Kohler, D., M. Staehelin, and I. Zschokke-graenacher. "Organic Molecular Crystals for Optical Data Processing." Molecular Crystals and Liquid Crystals Science and Technology. Section A. Molecular Crystals and Liquid Crystals 229, no. 1 (May 1993): 117–22. http://dx.doi.org/10.1080/10587259308032184.

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Bräuchle, Ch, and N. Hampp. "The biopolymer bacteriorhodopsin in optical data processing." Makromolekulare Chemie. Macromolecular Symposia 50, no. 1 (October 1991): 97–105. http://dx.doi.org/10.1002/masy.19910500111.

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Dissertations / Theses on the topic "Data Processing - Optical Data Processing"

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Brand, Ulrich. "Optical data processing in high-NA imaging." Thesis, King's College London (University of London), 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.393167.

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R, S. Umesh. "Algorithms for processing polarization-rich optical imaging data." Thesis, Indian Institute of Science, 2004. https://etd.iisc.ac.in/handle/2005/96.

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This work mainly focuses on signal processing issues related to continuous-wave, polarization-based direct imaging schemes. Here, we present a mathematical framework to analyze the performance of the Polarization Difference Imaging (PDI) and Polarization Modulation Imaging (PMI). We have considered three visualization parameters, namely, the polarization intensity (PI), Degree of Linear Polarization (DOLP) and polarization orientation (PO) for comparing these schemes. The first two parameters appear frequently in literature, possibly under different names. The last parameter, polarization orientation, has been introduced and elaborated in this thesis. We have also proposed some extensions/alternatives for the existing imaging and processing schemes and analyzed their advantages. Theoretically and through Monte-Carlo simulations, we have studied the performance of these schemes under white and coloured noise conditions, concluding that, in general, the PMI gives better estimates of all the parameters. Experimental results corroborate our theoretical arguments. PMI is shown to give asymptotically efficient estimates of these parameters, whereas PDI is shown to give biased estimates of the first two and is also shown to be incapable of estimating PO. Moreover, it is shown that PDI is a particular case of PMI. The property of PDI, that it can yield estimates at lower variances has been recognized as its major strength. We have also shown that the three visualization parameters can be fused to form a colour image, giving a holistic view of the scene. We report the advantages of analyzing chunks of data and bootstrapped data under various circumstances. Experiments were conducted to image objects through calibrated scattering media and natural media like mist, with successful results. Scattering media prepared with polystyrene microspheres of diameters 2.97m, 0.06m and 0.13m dispersed in water were used in our experiments. An intensified charge coupled device (CCD) camera was used to capture the images. Results showed that imaging could be performed beyond optical thickness of 40, for particles with 0.13m diameter. For larger particles, the depth to which we could image was much lesser. An experiment using an incoherent source yielded better results than with coherent sources, which we attribute to the speckle noise induced by coherent sources. We have suggested a harmonic based imaging scheme, which can perhaps be used when we have a mixture of scattering particles. We have also briefly touched upon the possible post processing that can be performed on the obtained results, and as an example, shown segmentation based on a PO imaging result.
This research was carried out with the support of Prof Hema Ramachandran of Raman Research Institute, Bangalore. Our thanks to her and RRI.
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R, S. Umesh. "Algorithms for processing polarization-rich optical imaging data." Thesis, Indian Institute of Science, 2004. http://hdl.handle.net/2005/96.

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This work mainly focuses on signal processing issues related to continuous-wave, polarization-based direct imaging schemes. Here, we present a mathematical framework to analyze the performance of the Polarization Difference Imaging (PDI) and Polarization Modulation Imaging (PMI). We have considered three visualization parameters, namely, the polarization intensity (PI), Degree of Linear Polarization (DOLP) and polarization orientation (PO) for comparing these schemes. The first two parameters appear frequently in literature, possibly under different names. The last parameter, polarization orientation, has been introduced and elaborated in this thesis. We have also proposed some extensions/alternatives for the existing imaging and processing schemes and analyzed their advantages. Theoretically and through Monte-Carlo simulations, we have studied the performance of these schemes under white and coloured noise conditions, concluding that, in general, the PMI gives better estimates of all the parameters. Experimental results corroborate our theoretical arguments. PMI is shown to give asymptotically efficient estimates of these parameters, whereas PDI is shown to give biased estimates of the first two and is also shown to be incapable of estimating PO. Moreover, it is shown that PDI is a particular case of PMI. The property of PDI, that it can yield estimates at lower variances has been recognized as its major strength. We have also shown that the three visualization parameters can be fused to form a colour image, giving a holistic view of the scene. We report the advantages of analyzing chunks of data and bootstrapped data under various circumstances. Experiments were conducted to image objects through calibrated scattering media and natural media like mist, with successful results. Scattering media prepared with polystyrene microspheres of diameters 2.97m, 0.06m and 0.13m dispersed in water were used in our experiments. An intensified charge coupled device (CCD) camera was used to capture the images. Results showed that imaging could be performed beyond optical thickness of 40, for particles with 0.13m diameter. For larger particles, the depth to which we could image was much lesser. An experiment using an incoherent source yielded better results than with coherent sources, which we attribute to the speckle noise induced by coherent sources. We have suggested a harmonic based imaging scheme, which can perhaps be used when we have a mixture of scattering particles. We have also briefly touched upon the possible post processing that can be performed on the obtained results, and as an example, shown segmentation based on a PO imaging result.
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Naulleau, Patrick. "Optical signal processing and real world applications /." Online version of thesis, 1993. http://hdl.handle.net/1850/12136.

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Fujinaga, Ichiro. "Optical music recognition using projections." Thesis, McGill University, 1988. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=61870.

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Wu, Jikun, and 武继坤. "Gene fusion discovery through RNA-seq and inversion detection via optical mapping." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/195960.

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RNA-seq sequencing has revolutionized the landscape of whole transcriptome sequencing and analysis. With its capacity of sequencing in a high-throughput and low-cost way, it produced ever increasingly amount of RNA-seq reads that are mines of treasure in biological and therapeutic studies. However, due to the complex nature and relatively un-developed knowledge base of transcription process, many challenges exist in the modeling and investigation of RNA-seq read data. It is of high importance to develop efficient computational tools to satisfy these needs. The first part of this thesis concentrates on algorithms for both upstream and downstream analysis of RNA-seq data. For the upstream, we aim to tackle down the problems of RNA-seq reads alignment where the segmental alignment causes the major difficulty. By employing a strategy of rigid extensive tries on read segmentations indices, we implemented an accurate algorithm for returning two-segmental alignments based on bi-directional BWT. For the downstream analysis, we study two types of gene fusion events which play a critical role in the formation of cancers. Unlike previous down-scoping-search methods, we applied a search-validate approach to design the framework. By introducing key techniques such as masking, two-segmental alignment and retention of multiple maps, we developed an efficient and robust tool for detecting gene fusions with high accuracy that proved by extensive simulation and real data tests. Optical mapping is a cutting edge technique for the study of genomic structural variations which address the defect and limitation of paired-end sequencing. It was designed with great improvement in accuracy, resolution and throughput than current techniques. Also, it produces much longer molecules which enables us to explore genomic regions rich in repetitive sequences. Optical mapping has the potential to enable us to draw a complete picture of the genome structure polymorphism and it is important for us to design tools for analysis of the data. The second part of the thesis is dedicated to the algorithms for both upstream and downstream analysis of optical map data. For the upstream, we formulated a robust scoring function, which combines the effectiveness of heuristic functions and the accuracy of statistical functions. Based on it, we implemented the high performance OMDP algorithm. For the downstream, we developed BP-OMDP which makes use of both split-mapping and disparity of coverage depth to call inversions in NA12878 human genome sample.
published_or_final_version
Computer science
Doctoral
Doctor of Philosophy
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TICKNOR, ANTHONY JAMES. "OPTICAL COMPUTING IN BOLTZMANN MACHINES." Diss., The University of Arizona, 1987. http://hdl.handle.net/10150/184169.

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This dissertation covers theoretical and experimental work on applying optical processing techniques ot the operation of a Boltzmann machine. A Boltzmann machine is a processor that solves a problem by iteratively optimizing an estimate of the solution. The optimization is done by finding a minimum of an energy surface over the solution space. The energy function is designed to consider not only data but also a priori information about the problem to assist the optimization. The dissertation first establishes a generic line-of-approach for designing an algorithmic optical computer that might successfully operate using currently realizable analog optical systems for highly-parallel operations. Simulated annealing, the algorithm of the Boltzmann machine, is then shown to be adaptable to this line-of-approach and is chosen as the algorithm to demonstrate these concepts throughout the dissertation. The algorithm is analyzed and optical systems are outlined that will perform the appropriate tasks within the algorithm. From this analysis and design, realizations of the optically-assisted Boltzmann machine are described and it is shown that the optical systems can be used in these algorithmic computations to produce solutions as precise as the single-pass operations of the analog optical systems. Further considerations are discussed for increasing the usefulness of the Boltzmann machine with respect to operating on larger data sets while maintaining the full degrees of parallelism and to increasing the speed by reducing the number of electronical-optical transducers and by utilizing more of the available parallelism. It is demonstgrated how, with a little digital support, the analog optical systems can be used to produce solutions with digital precision but without compromising the speed of the optical computations. Finally there is a short discussion as to how the Boltzmann machine may be modelled as a neuromorphic system for added insight into the computational functioning of the machine.
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Xia, Bing 1972 Nov 7. "A direct temporal domain approach for ultrafast optical signal processing and its implementation using planar lightwave circuits /." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=103007.

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Ultrafast optical signal processing, which shares the same fundamental principles of electrical signal processing, can realize numerous important functionalities required in both academic research and industry. Due to the extremely fast processing speed, all-optical signal processing and pulse shaping have been widely used in ultrafast telecommunication networks, photonically-assisted RFlmicro-meter waveform generation, microscopy, biophotonics, and studies on transient and nonlinear properties of atoms and molecules. In this thesis, we investigate two types of optical spectrally-periodic (SP) filters that can be fabricated on planar lightwave circuits (PLC) to perform pulse repetition rate multiplication (PRRM) and arbitrary optical waveform generation (AOWG).
First, we present a direct temporal domain approach for PRRM using SP filters. We show that the repetition rate of an input pulse train can be multiplied by a factor N using an optical filter with a free spectral range that does not need to be constrained to an integer multiple of N. Furthermore, the amplitude of each individual output pulse can be manipulated separately to form an arbitrary envelope at the output by optimizing the impulse response of the filter.
Next, we use lattice-form Mach-Zehnder interferometers (LF-MZI) to implement the temporal domain approach for PRRM. The simulation results show that PRRM with uniform profiles, binary-code profiles and triangular profiles can be achieved. Three silica based LF-MZIs are designed and fabricated, which incorporate multi-mode interference (MMI) couplers and phase shifters. The experimental results show that 40 GHz pulse trains with a uniform envelope pattern, a binary code pattern "1011" and a binary code pattern "1101" are generated from a 10 GHz input pulse train.
Finally, we investigate 2D ring resonator arrays (RRA) for ultraf ast optical signal processing. We design 2D RRAs to generate a pair of pulse trains with different binary-code patterns simultaneously from a single pulse train at a low repetition rate. We also design 2D RRAs for AOWG using the modified direct temporal domain approach. To demonstrate the approach, we provide numerical examples to illustrate the generation of two very different waveforms (square waveform and triangular waveform) from the same hyperbolic secant input pulse train. This powerful technique based on SP filters can be very useful for ultrafast optical signal processing and pulse shaping.
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González, Arcelus Isabel. "Advanced signal processing schemes for high density optical data storage." Thesis, University of Exeter, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.413895.

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Subramaniam, Suresh. "All-optical networks with sparse wavelength conversion /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/6032.

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Books on the topic "Data Processing - Optical Data Processing"

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Ahmad, Falih. Optical information processing. Trivandrum, Kerala, India: Research Signpost, 2008.

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Das, Pankaj K. Optical Signal Processing: Fundamentals. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991.

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Edgar, Conley, and Robillard Jean, eds. Industrial applications for optical data processing and holography. Boca Raton, Fla: CRC Press, 1992.

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McLean, James Patrick. Multidimensional Data Processing for Optical Coherence Tomography Imaging. [New York, N.Y.?]: [publisher not identified], 2021.

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1944-, Lee John N., ed. Design issues in optical processing. Cambridge: Cambridge University Press, 1995.

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VanderLugt, Anthony. Optical signal processing. New York: Wiley, 1992.

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Karim, Mohammad A. Optical computing: An introduction. New York: Wiley, 1992.

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W, Lohmann Adolf, and Caulfield H. J. 1936-, eds. Optical information processing: A tribute to Adolf Lohmann. Bellingham, WA: SPIE Press, 2002.

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Mukhopadhyay, Sauransu. Optical computation and parallel processing. Calcutta: Classique Books, 2000.

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1936-, Caulfield H. J., and Gheen Gregory, eds. Selected papers on optical computing. Bellingham, Wash., USA: SPIE Optical Engineering Press, 1989.

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Book chapters on the topic "Data Processing - Optical Data Processing"

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Weik, Martin H. "optical data processing." In Computer Science and Communications Dictionary, 1162. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_12961.

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Tuia, Devis. "Passive Optical Data Processing." In Remote Sensing Imagery, 155–80. Hoboken, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118899106.ch6.

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Millán García-varela, Maria Sagrario, and Elisabet Pérez-Cabré. "Optical Data Encryption." In Optical and Digital Image Processing, 739–67. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2011. http://dx.doi.org/10.1002/9783527635245.ch33.

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Edwards, Robert V. "Processing of Random Data." In Optical Diagnostics for Flow Processes, 69–81. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-1271-8_5.

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Fitch, J. Patrick. "Optical Processing of SAR Data." In Synthetic Aperture Radar, 85–108. New York, NY: Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4612-3822-5_3.

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Burggraf, H., and D. Rathjen. "Beamforming on Linear Antennas with Optical Processors." In Underwater Acoustic Data Processing, 307–12. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2289-1_34.

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Curtis, Kevin, Lisa Dhar, and Pierre-Alexandre Blanche. "Holographic Data Storage Technology." In Optical and Digital Image Processing, 227–50. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2011. http://dx.doi.org/10.1002/9783527635245.ch11.

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Blanche, Pierre-Alexandre. "Holographic Visualization of 3D Data." In Optical and Digital Image Processing, 201–26. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2011. http://dx.doi.org/10.1002/9783527635245.ch10.

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Vâle, G., and M. Lubâne. "Active Media for Optical Data Processing." In Functional Materials, 9–13. Weinheim, FRG: Wiley-VCH Verlag GmbH & Co. KGaA, 2006. http://dx.doi.org/10.1002/3527607420.ch2.

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Nečas, David. "Data Processing Methods for Imaging Spectrophotometry." In Optical Characterization of Thin Solid Films, 143–75. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75325-6_6.

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Conference papers on the topic "Data Processing - Optical Data Processing"

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Li, Yueh-Lin, Shang-Ling Lee, and Cheng-Yao Liao. "Image processing for Holography data storage." In Optical Data Storage. Washington, D.C.: OSA, 2007. http://dx.doi.org/10.1364/ods.2007.tue1.

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Minemura, Hiroyuki, Yumiko Anzai, Soichiro Eto, Junko Ushiyama, and Toshimichi Shintani. "Novel Signal Processing Method for Super-Resolution Discs." In Optical Data Storage. Washington, D.C.: OSA, 2007. http://dx.doi.org/10.1364/ods.2007.tuc3.

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Nakajima, Takeshi, Harumitsu Miyashita, Naohiro Kimura, Hiromichi Ishibashi, and Takafumi Ishii. "Proposal of Signal Qualification Method for PRML Processing System." In Optical Data Storage. Washington, D.C.: OSA, 2003. http://dx.doi.org/10.1364/ods.2003.tub2.

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Brazas, John C., James McMullen, and Glenn E. Kohnke. "Error signal processing with a mode-index waveguide lens." In Optical Data Storage, edited by Donald B. Carlin and David B. Kay. SPIE, 1990. http://dx.doi.org/10.1117/12.22000.

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Gordley, Larry L., Robert E. Thompson, and James M. Russell. "Haloe Data Processing Techniques." In Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1993. http://dx.doi.org/10.1364/orsa.1993.tud.5.

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The Halogen Occultation Experiment (HALOE) 1was launched aboard the UARS satellite in September of 1991 and has performed flawlessly since activated on October 11, 1991. HALOE uses both broadband radiometry and gas correlation radiometry techniques during occultation to obtain measurements for inferring temperature, pressure, and mixing ratios of O3, H2O, NO2, HF, HCl, CH4, and NO.
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Lohmann, A. W. "Optical Data Processing And Optical Computers." In 1986 Int'l European Conf on Optics, Optical Systems, and Applications, edited by Stefano Sottini and Silvana Trigari. SPIE, 1987. http://dx.doi.org/10.1117/12.937089.

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Morfitt, Ron A., Mike J. Choate, and Julia A. Barsi. "Landsat-8 data processing evolution." In SPIE Optical Engineering + Applications, edited by James J. Butler, Xiaoxiong (Jack) Xiong, and Xingfa Gu. SPIE, 2014. http://dx.doi.org/10.1117/12.2063767.

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Ostrovsky, Andrey S., Evgeny G. Balinsky, and Sergey V. Levy. "Magneto-optical data-processing systems." In Holography, Correlation Optics, and Recording Materials, edited by Oleg V. Angelsky. SPIE, 1993. http://dx.doi.org/10.1117/12.165360.

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Markhvida, Igor V., and Ludmila V. Chvyaleva. "Optical speckle myography: data processing." In International Symposium on Biomedical Optics Europe '94, edited by Hans J. Albrecht, Guy P. Delacretaz, Thomas H. Meier, Rudolf W. Steiner, Lars O. Svaasand, and Martin J. C. van Gemert. SPIE, 1995. http://dx.doi.org/10.1117/12.199213.

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Maeda, T., Hisataka Sugiyama, A. Saitou, Kouichirou Wakabayashi, Harukazu Miyamoto, and H. Awano. "High-density recording by two-dimensional signal processing." In Optical Data Storage '95, edited by Gordon R. Knight, Hiroshi Ooki, and Yuan-Sheng Tyan. SPIE, 1995. http://dx.doi.org/10.1117/12.218706.

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Reports on the topic "Data Processing - Optical Data Processing"

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Casasent, David. Optical Data Processing. Fort Belvoir, VA: Defense Technical Information Center, October 1985. http://dx.doi.org/10.21236/ada174465.

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Rhodes, William T. Optical Digital Algebraic Processing for Multi-Sensor-Array Data. Fort Belvoir, VA: Defense Technical Information Center, February 1986. http://dx.doi.org/10.21236/ada167196.

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Owechko, Yuri, and Bernard Soffer. Real-Time Implementation of Nonlinear Optical Data Processing Functions. Fort Belvoir, VA: Defense Technical Information Center, November 1990. http://dx.doi.org/10.21236/ada233521.

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Davis, Jeffrey A., Roger A. Lilly, Kevin D. Krenz, and Hua-Kuang Liu. Applicability of the Liquid Crystal Television for Optical Data Processing,. Fort Belvoir, VA: Defense Technical Information Center, January 1986. http://dx.doi.org/10.21236/ada172762.

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Mossberg, Thomas W. Spatial-Spectral Holographic Approaches to the Storage, Processing, and Manipulation of Optical Data Streams. Fort Belvoir, VA: Defense Technical Information Center, March 2000. http://dx.doi.org/10.21236/ada375764.

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Gribok, Andrei V. Performance of Advanced Signal Processing and Pattern Recognition Algorithms Using Raw Data from Ultrasonic Guided Waves and Fiber Optics Transducers. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1495185.

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Conlin, Jeremy L., and Andrej Trkov. Nuclear Data Processing. IAEA Nuclear Data Section, November 2018. http://dx.doi.org/10.61092/iaea.c7t6-j2x8.

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Blundell, S. User guide : the DEM Breakline and Differencing Analysis Tool—gridded elevation model analysis with a convenient graphical user interface. Engineer Research and Development Center (U.S.), August 2022. http://dx.doi.org/10.21079/11681/45040.

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Gridded elevation models of the earth’s surface derived from airborne lidar data or other sources can provide qualitative and quantitative information about the terrain and its surface features through analysis of the local spatial variation in elevation. The DEM Breakline and Differencing Analysis Tool was developed to extract and display micro-terrain features and vegetative cover based on the numerical modeling of elevation discontinuities or breaklines (breaks-in-slope), slope, terrain ruggedness, local surface optima, and the local elevation difference between first surface and bare earth input models. Using numerical algorithms developed in-house at the U.S. Army Engineer Research and Development Center, Geospatial Research Laboratory, various parameters are calculated for each cell in the model matrix in an initial processing phase. The results are combined and thresholded by the user in different ways for display and analysis. A graphical user interface provides control of input models, processing, and display as color-mapped overlays. Output displays can be saved as images, and the overlay data can be saved as raster layers for input into geographic information systems for further analysis.
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Neeley, Aimee, Stace E. Beaulieu, Chris Proctor, Ivona Cetinić, Joe Futrelle, Inia Soto Ramos, Heidi M. Sosik, et al. Standards and practices for reporting plankton and other particle observations from images. Woods Hole Oceanographic Institution, July 2021. http://dx.doi.org/10.1575/1912/27377.

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This technical manual guides the user through the process of creating a data table for the submission of taxonomic and morphological information for plankton and other particles from images to a repository. Guidance is provided to produce documentation that should accompany the submission of plankton and other particle data to a repository, describes data collection and processing techniques, and outlines the creation of a data file. Field names include scientificName that represents the lowest level taxonomic classification (e.g., genus if not certain of species, family if not certain of genus) and scientificNameID, the unique identifier from a reference database such as the World Register of Marine Species or AlgaeBase. The data table described here includes the field names associatedMedia, scientificName/ scientificNameID for both automated and manual identification, biovolume, area_cross_section, length_representation and width_representation. Additional steps that instruct the user on how to format their data for a submission to the Ocean Biodiversity Information System (OBIS) are also included. Examples of documentation and data files are provided for the user to follow. The documentation requirements and data table format are approved by both NASA’s SeaWiFS Bio-optical Archive and Storage System (SeaBASS) and the National Science Foundation’s Biological and Chemical Oceanography Data Management Office (BCO-DMO).
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Kong, Zhihao, and Na Lu. Field Implementation of Concrete Strength Sensor to Determine Optimal Traffic Opening Time. Purdue University, 2024. http://dx.doi.org/10.5703/1288284317724.

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In the fast-paced and time-sensitive fields of construction and concrete production, real-time monitoring of concrete strength is crucial. Traditional testing methods, such as hydraulic compression (ASTM C 39) and maturity methods (ASTM C 1074), are often laborious and challenging to implement on-site. Building on prior research (SPR 4210 and SPR 4513), we have advanced the electromechanical impedance (EMI) technique for in-situ concrete strength monitoring, crucial for determining safe traffic opening times. These projects have made significant strides in technology, including the development of an IoT-based hardware system for wireless data collection and a cloud-based platform for efficient data processing. A key innovation is the integration of machine learning tools, which not only enhance immediate strength predictions but also facilitate long-term projections vital for maintenance and asset management. To bring this technology to practical use, we collaborated with third-party manufacturers to set up a production line for the sensor and datalogger assembly. The system was extensively tested in various field scenarios, including pavements, patches, and bridge decks. Our refined signal processing algorithms, benchmarked against a mean absolute percentage error (MAPE) of 16%, which is comparable to the ASTM C39 interlaboratory variance of 14%, demonstrate reliable accuracy. Additionally, we have developed a comprehensive user manual to aid field engineers in deploying, connecting, and maintaining the sensing system, paving the way for broader implementation in real-world construction settings.
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