Academic literature on the topic 'Computers / Optical Data Processing'

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Journal articles on the topic "Computers / Optical Data Processing"

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Sokolov, Sergey, Andrey Boguslavsky, and Sergei Romanenko. "Implementation of the visual data processing algorithms for onboard computing units." Robotics and Technical Cybernetics 9, no. 2 (June 30, 2021): 106–11. http://dx.doi.org/10.31776/rtcj.9204.

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According to the short analysis of modern experience of hardware and software for autonomous mobile robots a role of computer vision systems in the structure of those robots is considered. A number of configurations of onboard computers and implementation of algorithms for visual data capturing and processing are described. In original configuration space the «algorithms-hardware» plane is considered. For software designing the realtime vision system framework is used. Experiments with the computing module based on the Intel/Altera Cyclone IV FPGA (implementation of the histogram computation algorithm and the Canny's algorithm), with the computing module based on the Xilinx FPGA (implementation of a sparse and dense optical flow algorithms) are described. Also implementation of algorithm of graph segmentation of grayscale images is considered and analyzed. Results of the first experiments are presented.
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Cao, Yuan, Hongkang Lu, and Tao Wen. "A Safety Computer System Based on Multi-Sensor Data Processing." Sensors 19, no. 4 (February 17, 2019): 818. http://dx.doi.org/10.3390/s19040818.

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The safety computer in the train control system is designed to be the double two-vote-two architecture. If safety-critical multi-input data are inconsistent, this may cause non-strict multi-sensor data problems in the output. These kinds of problems may directly affect the decision making of the safety computer and even pose a serious threat to the safe operation of the train. In this paper, non-strict multi-sensor data problems that exist in traditional safety computers are analyzed. The input data are classified based on data features and safety computer features. Then, the input data that cause non-strict multi-sensor data problems are modeled. Fuzzy theory is used in the safety computer to process multi-sensor data and to avoid the non-strict multi-sensor problems. The fuzzy processing model is added into the onboard double two-vote-two architecture safety computer platform. The fuzzy processing model can be divided into two parts: improved fuzzy decision tree and improved fuzzy weighted fusion. Finally, the model is verified based on two kinds of data. Verification results indicate that the fuzzy processing model can effectively reduce the non-strict identical problems and improve the system efficiency on the premise of ensuring the data reliability.
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Abushagur, Mustafa A. G. "Adaptive array radar data processing using the bimodal optical computer." Microwave and Optical Technology Letters 1, no. 7 (September 1988): 236–40. http://dx.doi.org/10.1002/mop.4650010704.

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Rawat, Shashilata, and Uma Shankar Kurmi. "A Study on Glaucoma Disease Detection with Image Processing Methods." Advanced Engineering Forum 37 (September 2020): 25–35. http://dx.doi.org/10.4028/www.scientific.net/aef.37.25.

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The glaucoma is a developing slow eye that effects optic nerve damage in its most common form. Once the optic nerve has been impaired, visual data is not passed to the brain and permanently visual impairment is caused. Glaucoma computer-aided diagnosis (CAD) is a rising area in which medical imaging is analyzed. The CAD is a more precise approach for glaucoma detection, inspired by recent advanced imaging techniques and high-velocity computers. Laser ophthalmoscope scanning, tomography with optical coherence, and retina tomography of Heidelberg have widely used imaging techniques for detecting glaucoma. In this paper, we provide a study of glaucoma disease with its types and detection techniques. Moreover, this paper tells about image processing techniques to detect glaucoma. Variational mode decomposition has also discussed here.
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Sun, Caiping, and Weijiang Wang. "Computer Network Security Management of Data Encryption Technology." Wireless Communications and Mobile Computing 2022 (September 2, 2022): 1–9. http://dx.doi.org/10.1155/2022/6873087.

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With the continuous promotion of high and new technologies such as computers and big data, humans enter a new period-information age. Mass data and information can be transmitted and exchanged online through the network. In recent years, research on image encryption based on optical information processing technology is becoming more and more favored by researchers. In this regard, this study will focus on the research of encryption algorithms in optical images and realize encryption through fractional Fourier transform and Arnold transform. This article first introduces the research background of the subject and analyzes the current situation of the subject at home and abroad and then proposes the theoretical guidance basis for the subject research, which covers the fractional Fourier transform, Arnold transform, computational hologram, and picture evaluation index system. Finally, MATLAB simulation and performance analysis are carried out for fractional Fourier transform, Arnold transform, and holographic encryption technology. The results shows that the improved algorithm in this study performs better in the encryption and decryption process.
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Coelho do Carmo, Alisson Fernando, Milton Hirokazu Shimabukuro, Nilton Nobuhiro Imai, Nariane Marselhe Ribeiro Bernardo, Fernanda Sayuri Yoshino Watanabe, and Enner Herênio de Alcântara. "Aquopts: A multisource processing system for multidimensional bio-optical data integration and correction." Computers & Geosciences 143 (October 2020): 104559. http://dx.doi.org/10.1016/j.cageo.2020.104559.

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Zhang, Qiang, Xiaoying Liang, and Xiaopeng Wei. "Scattered Data Processing Approach Based on Optical Facial Motion Capture." Applied Bionics and Biomechanics 10, no. 2-3 (2013): 75–87. http://dx.doi.org/10.1155/2013/463235.

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In recent years, animation reconstruction of facial expressions has become a popular research field in computer science and motion capture-based facial expression reconstruction is now emerging in this field. Based on the facial motion data obtained using a passive optical motion capture system, we propose a scattered data processing approach, which aims to solve the common problems of missing data and noise. To recover missing data, given the nonlinear relationships among neighbors with the current missing marker, we propose an improved version of a previous method, where we use the motion of three muscles rather than one to recover the missing data. To reduce the noise, we initially apply preprocessing to eliminate impulsive noise, before our proposed three-order quasi-uniform B-spline-based fitting method is used to reduce the remaining noise. Our experiments showed that the principles that underlie this method are simple and straightforward, and it delivered acceptable precision during reconstruction.
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ZIPPEL, RICHARD. "THE DATA STRUCTURE ACCELERATOR ARCHITECTURE." International Journal of High Speed Electronics and Systems 07, no. 04 (December 1996): 533–71. http://dx.doi.org/10.1142/s012915649600030x.

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We present a heterogeneous architecture that contains a fine grained, massively parallel SIMD component called the data structure accelerator and demonstrate its use in a number of problems in computational geometry including polygon filling and convex hull. The data structure accelerator is extremely dense and highly scalable. Systems of 106 processing elements can be embedded in workstations and personal computers, without dramatically changing their cost. These components are intended for use in tandem with conventional single sequence machines and with small scale, shared memory multiprocessors. A language for programming these heterogeneous systems is presented that smoothly incorporates the SIMD instructions of the data structure accelerator with conventional single sequence code. We then demonstrate how to construct a number of higher level primitives such as maximum and minimum, and apply these tools to problems in logic and computational geometry. For computational geometry problems, we demonstrate that simple algorithms that take advantage of the parallelism available on a data structure accelerator perform as well or better than the far more complex algorithms which are needed for comparable efficiency on single sequence computers.
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Sludds, Alexander, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Jared Cochrane, Liane Bernstein, Darius Bunandar, et al. "Delocalized photonic deep learning on the internet’s edge." Science 378, no. 6617 (October 21, 2022): 270–76. http://dx.doi.org/10.1126/science.abq8271.

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Advanced machine learning models are currently impossible to run on edge devices such as smart sensors and unmanned aerial vehicles owing to constraints on power, processing, and memory. We introduce an approach to machine learning inference based on delocalized analog processing across networks. In this approach, named Netcast, cloud-based “smart transceivers” stream weight data to edge devices, enabling ultraefficient photonic inference. We demonstrate image recognition at ultralow optical energy of 40 attojoules per multiply (<1 photon per multiply) at 98.8% (93%) classification accuracy. We reproduce this performance in a Boston-area field trial over 86 kilometers of deployed optical fiber, wavelength multiplexed over 3 terahertz of optical bandwidth. Netcast allows milliwatt-class edge devices with minimal memory and processing to compute at teraFLOPS rates reserved for high-power (>100 watts) cloud computers.
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Farmakidis, Nikolaos, Nathan Youngblood, Xuan Li, James Tan, Jacob L. Swett, Zengguang Cheng, C. David Wright, Wolfram H. P. Pernice, and Harish Bhaskaran. "Plasmonic nanogap enhanced phase-change devices with dual electrical-optical functionality." Science Advances 5, no. 11 (November 2019): eaaw2687. http://dx.doi.org/10.1126/sciadv.aaw2687.

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Modern-day computers rely on electrical signaling for the processing and storage of data, which is bandwidth-limited and power hungry. This fact has long been realized in the communications field, where optical signaling is the norm. However, exploiting optical signaling in computing will require new on-chip devices that work seamlessly in both electrical and optical domains, without the need for repeated electrical-to-optical conversion. Phase-change devices can, in principle, provide such dual electrical-optical operation, but assimilating both functionalities into a single device has so far proved elusive owing to conflicting requirements of size-limited electrical switching and diffraction-limited optical response. Here, we combine plasmonics, photonics, and electronics to deliver an integrated phase-change memory cell that can be electrically or optically switched between binary or multilevel states. Crucially, this device can also be simultaneously read out both optically and electrically, offering a new strategy for merging computing and communications technologies.
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Dissertations / Theses on the topic "Computers / Optical Data Processing"

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Jin, Ruxiang. "Nonlinear etalons and nonlinear waveguides as decision-making elements in photonic switching." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184807.

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This dissertation describes our recent results in the study of various types of photonic switches. Special attention is given to the devices with Fabry-Perot etalon or planar waveguide structures based on dispersive optical nonlinearities. Basic optical logic functions, such as digital pattern recognition, symbolic substitution, and all-optical compare-and-exchange operation are demonstrated using ZnS and ZnSe nonlinear interference filters. Differential gain, cascading, and optical latching circuits are demonstrated using GaAs/AlGaAs multiple-quantum-well nonlinear etalons that are compatible with diode-laser sources, and the relationship between differential gain and device response time is established through a thorough investigation of the switching dynamics. Preliminary results also indicate that optical fibers can be used as interconnects between optical logic gates. Picosecond all-optical switching with good (> 3:1) contrast is demonstrated for the first time in single-mode strip-loaded GaAs/AlGaAs nonlinear directional couplers (NLDC's). The anisotropy of quantum-well structure to light polarization is used to achieve polarization-dependent two-beam switching, and the optical Stark effect is used to demonstrate all-optical modulation in an NLDC with subpicosecond recovery time.
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Wang, Jade P. (Jade Peilynn) 1979. "Demonstrating effective all-optical processing in ultrafast data networks using semiconductor optical amplifiers." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/44907.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references.
The demand for bandwidth in worldwide data networks continues to increase due to growing Internet use and high-bandwidth applications such as video. All-optical signal processing is one promising technique for providing the necessary capacity and offers payload transparency, power consumption which scales efficiently with increasing bit rates, reduced processing latency, and ultrafast performance. In this thesis, we focus on using semiconductor optical amplifier-based logic gates to address both routing and regeneration needs in ultrafast data networks. To address routing needs, we demonstrate a scalable, multi-packet all-optical header processing unit operating at a line rate of 40 Gb/s. For this experiment, we used the ultrafast nonlinear interferometer (UNI) gate, a discrete optical logic gate which has been demonstrated at speeds of 100 Gb/s for bit-wise switching. However, for all-optical switching to become a reality, integration is necessary to significantly reduce the cost of manufacturing, installation, and operation. One promising integrated all-optical logic gate is the semiconductor optical amplifier Mach-Zehnder interferometer (SOA-MZI). This gate has previously been demonstrated capable of up to 80 Gb/s bit-wise switching operation. To enable simple installation and operation of this gate, we developed a performance optimization method which can quickly and accurately pinpoint the optimal operating point of the switch. This eliminates the need for a time-intensive search over a large parameter space and significantly simplifies the operation of the switch. With this method, we demonstrate the ability of a single SOA-MZI logic gate to regenerate ultrafast pulses over 100 passes and 10,000 km in a regenerative loop. Ultimately, all-optical logic gates must be integrated on a single low-cost platform and demonstrated in cascaded, multi-gate operation for increased functionality.
(cont.) This requires low-loss monolithic integration. Our approach to this involves an asymmetric twin waveguide (ATG) design. This design also has the potential for high-yields as a result of a high tolerance for fabrication errors. We present our characterization results of ATG waveguides and proposals for future improvements.
by Jade P. Wang.
Ph.D.
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BRUHNS, THOMAS VICTOR. "HARDWARE AND SOFTWARE FOR A COMPUTER CONTROLLED LIDAR SYSTEM." Diss., The University of Arizona, 1985. http://hdl.handle.net/10150/188042.

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The hardware and software for a computer controlled optical radar, or lidar, system are described. The system builds on a previously installed pulsed ruby backscatter lidar, capable of acquiring data at controlled azimuth and elevation angles through the atmosphere. The described system replaces hardwired logic with computer control. Two coupled computers are used to allow a degree of real time control while data are processed. One of these computers reads and controls mount elevation angle, reads the laser energy monitor, and senses firing of the laser. The other computer serves as a user interface, and receives the lidar return data from a digitizer and memory, and the angle and energy information from the other computer. The second computer also outputs data to a disc drive. The software provided with the system is described, and the feasibility of additional software for both control and data processing is explored. Particular attention is given to data integrity and instrument and computer operation in the presence of the high energy pulses used to drive the laser. A previously described laser energy monitor has been improved to isolate it from laser transients. Mount elevation angles are monitored with an absolute angle readout. As a troubleshooting aid, a simulator with an output that approximates the lidar receiver output was developed. Its output is digitally generated and provides a known repetitive signal. Operating procedures are described for standard data acquisition, and troubleshooting is outlined. The system can be used by a relatively inexperienced operator; English sentences are displayed on the system console CRT terminal to lead the operator through data acquisition once the system hardware is turned on. A brief synopsis of data acquired on the system is given. Those data are used as the basis of other referenced papers. It constitutes soundings for over one hundred days. One high point has been operation of the system in conjunction with a balloon borne atmospheric particulate sampling package. The system has also been used occasionally as the transmitter of a lidar system with physically separated receiver and transmitter.
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Li, Xin. "Scheduling optical packet switches with reconfiguration delay /." View abstract or full-text, 2005. http://library.ust.hk/cgi/db/thesis.pl?COMP%202005%20LI.

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Yu, Lingfeng. "Multidimensional data encryption with virtual optics /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?MECH%202003%20YU.

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Barbieri, Nicholas P. "Aircraft position estimation using lenticular sheet generated optical patterns." Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22612.

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Subbiah, Arun. "Design and evaluation of a distributed diagnosis algorithm for arbitrary network topologies in dynamic fault environments." Thesis, Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/13273.

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Gong, Yun. "On semidefinite programming and vector quantization with application to image coding." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/14876.

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Zheng, Rong. "Photonic RF signal processors." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2004. https://ro.ecu.edu.au/theses/812.

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The purpose of this thesis is to explore the emerging possibilities of processing radiofrequency (RF) or microwave signals in optical domain, which will be a key technology to implement next-generation mobile communication systems and future optical networks. Research activities include design and modelling of novel photonic architectures for processing and filtering of RF, microwave and millimeter wave signals of the above mentioned applications. Investigations especially focus on two basic functions and critical requirements in advanced RF systems, namely: • Interference mitigation and high Q tunable filters. • Arbitrary filter transfer function generation. The thesis begins with a review on several state-of-the-art architectures of in-fiber RF signal processing and related key optical technologies. The unique capabilities offered by in-fiber RF signal processors for processing ultra wide-band, high-frequency signals directly in optical domain make them attractive options for applications in optical networks and wide-band microwave signal processing. However, the principal drawbacks which have been demonstrated so far in the in-fiber RF signal processors arc their inflexible or expensive schemes to set tap weights and time delay. Laser coherence effects also limit sampling frequency and introduce additional phase-induced intensity noise.
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Pang, Bo. "Handwriting Chinese character recognition based on quantum particle swarm optimization support vector machine." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3950620.

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Books on the topic "Computers / Optical Data Processing"

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

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Optical computer architectures: The application of optical concepts to next generation computers. New York: Wiley, 1991.

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Yunlong, Sheng, ed. An introduction to optics in computers. Bellingham, Wash., USA: SPIE Optical Engineering Press, 1992.

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W, Lovett Brendon, ed. Introduction to optical quantum information processing. Cambridge: Cambridge University Press, 2010.

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Raymond, Arrathoon, ed. Optical computing: Digital and symbolic. New York: M. Dekker, 1989.

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Hammer, J. M. Optical Backplane Interconnect Technology (OBIT). Hampton, Va: Langley Research Center, 1988.

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Suganda, Jutamulia, ed. Optical signal processing, computing, and neural networks. New York: Wiley, 1992.

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S, Ishihara, ed. Optical computing in Japan. Commack, N.Y: Nova Science Publishers, 1990.

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M, Bowden Charles, Duthie J. Graeme, Society of Photo-optical Instrumentation Engineers., and University of Alabama in Huntsville. Dept. of Physics., eds. Workshop on Photonic Logic and Information Processing: 11-13 November 1986, Huntsville, Alabama. Bellingham, Wash., USA: SPIE, 1987.

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Miller, Richard Kendall. Survey on optical computing. Madison, GA: Future Technology Surveys, 1989.

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Book chapters on the topic "Computers / 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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Borg, Erik, Bernd Fichtelmann, Christian Fischer, and Hartmut Asche. "Design and Implementation of Data Usability Processor into an Automated Processing Chain for Optical Remote Sensing Data." In Communications in Computer and Information Science, 21–37. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-51641-7_2.

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Borg, Erik, Bernd Fichtelmann, and Hartmut Asche. "Data Usability Processor for Optical Remote Sensing Imagery: Design and Implementation into an Automated Processing Chain." In Lecture Notes in Computer Science, 635–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39643-4_46.

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Bingham, John. "Computers — The Machines." In Data Processing, 45–56. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-19938-9_5.

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Bingham, John. "Data Processing and the Role of Computers." In Data Processing, 3–12. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-19938-9_1.

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Uchida, M., D. Shiozawa, T. Sakagami, and S. Kubo. "Three-Dimensional Reconstruction of Leaked Gas Cloud Image Based on Computed Tomography Processing of Multiple Optical Paths Infrared Measurement Data." In Lecture Notes in Mechanical Engineering, 751–56. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9199-0_73.

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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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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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Gelenbe, Erol, Mateusz P. Nowak, Piotr Frohlich, Jerzy Fiolka, and Jacek Checinski. "Energy, QoS and Security Aware Edge Services." In Communications in Computer and Information Science, 102–17. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09357-9_9.

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AbstractWith the development of communication technologies and the increasing bandwidth of optical fibres and transmission speeds in current 5G and future 6G wireless networks, there is a growing demand for solutions organising traffic in such networks, taking into account both end-to-end transmissions and the possibility of data processing by edge services. The most pressing problems of today’s computer networks are not only bandwidth and transmission delays, but also security and energy consumption, which is becoming increasingly important in today’s climate. This paper presents a solution based on neural networks that organises network traffic taking into account the above criteria - quality of service (QoS), energy consumption and security.
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Ziessow, Dieter. "NMR Data Processing in Computers." In NMR in Living Systems, 95–107. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4580-7_6.

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Conference papers on the topic "Computers / Optical Data Processing"

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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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Fadeyeva, Tatyana A., Alexander V. Volyar, Sergey A. Reshetnikoff, and Alexei N. Alexeyev. "Fiber vortex interferometer: computer processing of experimental data." In Singular Optics 2000: Fundamentals and Applications of Optical Vortices, edited by Marat S. Soskin and Mikhail V. Vasnetsov. SPIE, 2001. http://dx.doi.org/10.1117/12.428286.

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Zhang, Song, Laura Ekstrand, Taylor Grieve, David J. Eisenmann, and L. Scott Chumbley. "3D data processing with advanced computer graphics tools." In SPIE Optical Engineering + Applications, edited by Joanna Schmit, Katherine Creath, Catherine E. Towers, and Jan Burke. SPIE, 2012. http://dx.doi.org/10.1117/12.930376.

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Casasent, David P. "Computer-generated holograms for optical data processing." In San Diego, '91, San Diego, CA, edited by Chandrasekhar Roychoudhuri and Wilfrid B. Veldkamp. SPIE, 1991. http://dx.doi.org/10.1117/12.49377.

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Ataev, Sergey, and Nataliia Limanova. "Data processing method based on computed tomography shots segmentation." In optical-technologies-in-telecommunications-2017, edited by Vladimir A. Andreev, Vladimir A. Burdin, Oleg G. Morozov, Albert H. Sultanov, and Anton V. Bourdine. SPIE, 2018. http://dx.doi.org/10.1117/12.2318872.

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Lazzeri, Emma, Piero Castoldi, Filippo Cugini, and Antonella Bogoni. "Photonic data rate reduction applied to ultrafast processing for high speed optical links." In 2015 6th International Conference on Computers and Devices for Communication (CODEC). IEEE, 2015. http://dx.doi.org/10.1109/codec.2015.7893187.

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Limanova, Nataliia I., and Sergey G. Ataev. "Computed tomography data processing method on the basis of spatial segmentation." In optical-technologies-in-telecommunications-2018, edited by Anton V. Bourdine, Vladimir A. Burdin, Oleg G. Morozov, Albert H. Sultanov, and Vladimir A. Andreev. SPIE, 2019. http://dx.doi.org/10.1117/12.2525537.

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Kunishige, Yukihiro, Ken-ichi Baba, and Shinji Shimojo. "Optical path scheduling methods considering host bandwidth in data center networks." In 2013 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM). IEEE, 2013. http://dx.doi.org/10.1109/pacrim.2013.6625469.

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Kunishige, Yukihiro, Ken-ichi Baba, and Shinji Shimojo. "Optical network configuration methods considering end-to-end latency in data centers." In 2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM). IEEE, 2015. http://dx.doi.org/10.1109/pacrim.2015.7334836.

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Xin, Jian. "Research on Real Time Data Processing Algorithm for Optical Measurement." In 2018 3rd International Conference on Mechanical, Control and Computer Engineering (ICMCCE). IEEE, 2018. http://dx.doi.org/10.1109/icmcce.2018.00134.

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Reports on the topic "Computers / 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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Modlo, Yevhenii O., Serhiy O. Semerikov, Stanislav L. Bondarevskyi, Stanislav T. Tolmachev, Oksana M. Markova, and Pavlo P. Nechypurenko. Methods of using mobile Internet devices in the formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3677.

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An analysis of the experience of professional training bachelors of electromechanics in Ukraine and abroad made it possible to determine that one of the leading trends in its modernization is the synergistic integration of various engineering branches (mechanical, electrical, electronic engineering and automation) in mechatronics for the purpose of design, manufacture, operation and maintenance electromechanical equipment. Teaching mechatronics provides for the meaningful integration of various disciplines of professional and practical training bachelors of electromechanics based on the concept of modeling and technological integration of various organizational forms and teaching methods based on the concept of mobility. Within this approach, the leading learning tools of bachelors of electromechanics are mobile Internet devices (MID) – a multimedia mobile devices that provide wireless access to information and communication Internet services for collecting, organizing, storing, processing, transmitting, presenting all kinds of messages and data. The authors reveals the main possibilities of using MID in learning to ensure equal access to education, personalized learning, instant feedback and evaluating learning outcomes, mobile learning, productive use of time spent in classrooms, creating mobile learning communities, support situated learning, development of continuous seamless learning, ensuring the gap between formal and informal learning, minimize educational disruption in conflict and disaster areas, assist learners with disabilities, improve the quality of the communication and the management of institution, and maximize the cost-efficiency. Bachelor of electromechanics competency in modeling of technical objects is a personal and vocational ability, which includes a system of knowledge, skills, experience in learning and research activities on modeling mechatronic systems and a positive value attitude towards it; bachelor of electromechanics should be ready and able to use methods and software/hardware modeling tools for processes analyzes, systems synthesis, evaluating their reliability and effectiveness for solving practical problems in professional field. The competency structure of the bachelor of electromechanics in the modeling of technical objects is reflected in three groups of competencies: general scientific, general professional and specialized professional. The implementation of the technique of using MID in learning bachelors of electromechanics in modeling of technical objects is the appropriate methodic of using, the component of which is partial methods for using MID in the formation of the general scientific component of the bachelor of electromechanics competency in modeling of technical objects, are disclosed by example academic disciplines “Higher mathematics”, “Computers and programming”, “Engineering mechanics”, “Electrical machines”. The leading tools of formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects are augmented reality mobile tools (to visualize the objects’ structure and modeling results), mobile computer mathematical systems (universal tools used at all stages of modeling learning), cloud based spreadsheets (as modeling tools) and text editors (to make the program description of model), mobile computer-aided design systems (to create and view the physical properties of models of technical objects) and mobile communication tools (to organize a joint activity in modeling).
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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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