Готові списки джерел за темами / Near infrared system

Добірка наукової літератури з теми "Near infrared system"

Автор: Grafiati
Опубліковано: 22 жовтня 2022

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Зміст

  1. Статті в журналах
  2. Дисертації
  3. Книги
  4. Частини книг
  5. Тези доповідей конференцій
  6. Звіти організацій

Статті в журналах з теми "Near infrared system":

1

Lingling, Wu, Zhang Huan, and Chen Jing. "Design of near infrared optical system." Journal of Applied Optics 36, no. 2 (2015): 183–87. http://dx.doi.org/10.5768/jao201536.0201004.

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2

McGregor, Peter J. "The MSSSO near-infrared photometric system." Publications of the Astronomical Society of the Pacific 106 (May 1994): 508. http://dx.doi.org/10.1086/133406.

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3

Iwai, Yutaka. ""ENG VTR combo near infrared camera system"." Journal of the Institute of Television Engineers of Japan 43, no. 7 (1989): 731–32. http://dx.doi.org/10.3169/itej1978.43.731.

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4

Uǧur, Gökçe, Jiyoung Chang, Shuhuai Xiang, Liwei Lin, and Jennifer Lu. "A Near-Infrared Mechano Responsive Polymer System." Advanced Materials 24, no. 20 (April 13, 2012): 2685–90. http://dx.doi.org/10.1002/adma.201104538.

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5

张, 嘉奇. "Near Infrared Venous Imaging Method and System." Computer Science and Application 08, no. 02 (2018): 166–72. http://dx.doi.org/10.12677/csa.2018.82020.

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6

Cassis, L. A., J. Yates, W. C. Symons, and R. A. Lodder. "Cardiovascular Near-Infrared Imaging." Journal of Near Infrared Spectroscopy 6, A (January 1998): A21—A25. http://dx.doi.org/10.1255/jnirs.162.

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This research uses near-infrared spectrometric imaging to nondestructively locate and determine Low-Density Lipoprotein (LDL) cholesterol that may serve as an in vivo marker for vulnerable atherosclerotic plaques. Vulnerable plaques are plaques prone, in the presence of an appropriate trigger, to events such as ulceration, rupture, erosion, or thrombus that can lead to an acute syndrome. A Nd:YAG-pumped KTP/OPO tunable near-infrared (NIR) laser system is used as a light source for the fiber-optic catheters employed in this research. The BEST algorithm is used to construct chemical-composition images of the intima of the aorta in test subjects in vivo. The long-term goal of these studies is to use NIR laser spectrometric assays of plaque performed with cardiac catheters in vivo to facilitate assignment of patients to specific drug or surgical interventions selected to match their individual vulnerable plaque characteristics.
7

Sase, I., H. Eda, A. Takatsuki, A. Seiyama, and T. Yanagida. "Development of Near Infrared Time-Resolved Imaging System." Seibutsu Butsuri 41, supplement (2001): S90. http://dx.doi.org/10.2142/biophys.41.s90_3.

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8

Yakno, Marlina, Junita Mohamad-Saleh, Mohd Zamri Ibrahim, and W. N. A. W. Samsudin. "Camera-projector calibration for near infrared imaging system." Bulletin of Electrical Engineering and Informatics 9, no. 1 (February 1, 2020): 160–70. http://dx.doi.org/10.11591/eei.v9i1.1697.

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Advanced biomedical engineering technologies are continuously changing the medical practices to improve medical care for patients. Needle insertion navigation during intravenous catheterization process via Near infrared (NIR) and camera-projector is one solution. However, the central point of the problem is the image captured by camera misaligns with the image projected back on the object of interest. This causes the projected image not to be overlaid perfectly in the real-world. In this paper, a camera-projector calibration method is presented. Polynomial algorithm was used to remove the barrel distortion in captured images. Scaling and translation transformations are used to correct the geometric distortions introduced in the image acquisition process. Discrepancies in the captured and projected images are assessed. The accuracy of the image and the projected image is 90.643%. This indicates the feasibility of the captured approach to eliminate discrepancies in the projection and navigation images.
9

Niidome, Takuro. "Drug Release System Controlled by Near Infrared Light." YAKUGAKU ZASSHI 133, no. 3 (March 1, 2013): 369–72. http://dx.doi.org/10.1248/yakushi.12-00239-3.

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10

Sato, Takayuki. "Development of Near-Infrared Fluorescence Color Imaging System." Iryou kikigaku (The Japanese journal of medical instrumentation) 82, no. 6 (2012): 463–67. http://dx.doi.org/10.4286/jjmi.82.463.

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Статті в журналах Дисертації

Дисертації з теми "Near infrared system":

1

Saptari, Vidi Alfandi 1975. "A spectroscopic system for near infrared glucose measurement." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/34131.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2004.
Includes bibliographical references.
Noninvasive blood glucose monitoring has been long envisioned to serve as an invaluable tool in the treatment of diabetes. The current invasive method makes it difficult for diabetic patients to perform frequent blood glucose measurements and maintain better control of their glucose levels, crucial in reducing the risks of complications. In this thesis, the use of the near infrared absorption spectroscopy is proposed and investigated. The light radiation is envisioned to be transmitted through thin tissue such as the webbing tissue between the thumb and the index finger. The main technical difficulties are identified to be those caused by complex interferences from other physiological variables and the weak near infrared glucose signals. Thus, the success of such a method hinges on adequately isolating the glucose signals from among the interferences as well as on obtaining high signal-to-noise-ratio spectra. The first objective of this thesis is to provide deeper quantitative understanding to the challenges described above. Such knowledge is key to developing clinically accurate and robust devices. This objective is accomplished through a series of systematic experimental and analytical investigations involving glucose measurements in various biological sample matrices.
(cont.) Analytical figures of merit such as "selectivity" and "limit of detection" are defined, and used to quantify the signal quality and to predict the robustness of the method. The second objective of this thesis is to design an optimum spectroscopic system for the near infrared glucose measurements in the methodically selected band region approximately between 2100 and 2300 nm. A unique, filter spectrometer is developed, which enables spectral signal-to-noise ratio improvement by an order of magnitude over the published data to-date employing top-grade commercial spectrometers, while significantly reducing the required signal acquisition time and hardware complexity. A spectral processing algorithm is developed, which enables the effective removal of spectral variations caused by changes or drifts in the instrument, environment and/or sample conditions, as well as those due to tissue scattering. The spectroscopic system is tested in experiments measuring glucose in synthetic biological solutions, human plasma samples and animal tissue samples. The thesis demonstrates that with a carefully designed system, noninvasive blood glucose measurements using the near infrared absorption spectroscopy is feasible.
by Vidi A. Saptari.
Ph.D.
2

Karlsson, Jonas. "FPGA-Accelerated Dehazing by Visible and Near-infrared Image Fusion." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-28322.

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Fog and haze can have a dramatic impact on vision systems for land and sea vehicles. The impact of such conditions on infrared images is not as severe as for standard images. By fusing images from two cameras, one ordinary and one near-infrared camera, a complete dehazing system with colour preservation can be achieved. Applying several different algorithms to an image set and evaluating the results, the most suitable image fusion algoritm has been identified. Using an FPGA, a programmable integrated circuit, a crucial part of the algorithm has been implemented. It is capable of producing processed images 30 times faster than a laptop computer. This implementation lays the foundation of a real-time dehazing system and provides a significant part of the full solution. The results show that such a system can be accomplished with an FPGA.
3

Velasco, Santoscoy María Martha de la Paz. "Hardware Control of a Near Infrared Fluorescence System : LabVIEW Programming and Evaluation." Thesis, Linköpings universitet, Biomedicinsk instrumentteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129604.

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Indocyanine green (ICG) is a fluorescent dye used as an indicator in medicine and surgery. The maximum absorption wavelength of ICG is at 785 nm, while the maximum emission is around 820 nm. ICG is nontoxic and is rapidly excreted into the bile. Near infrared (NIR) fluorescence imaging or spectroscopy offer new settings for seeing the blood vessels, and also in oncological applications for finding sentinel lymph nodes (SLN) to investigate if the cancer has spread from the tumor to the lymphatic system. Given the aforementioned applications, the aim of this thesis was to develop a hardware control and a user interface in LabVIEW, and to evaluate the software, as well as the instrumentation using phantom measurements.The system consisted of a spectrometer, a laser (785 ± 5 nm) for ICG excitation, optical filters, and a fiber optical probe containing five fibers for light excitation, and one for light collection. The basic LabVIEW program designed for the spectrometer was used, and additional features were added such as the recording functions, online measurements, opening of the recorded files, saving comments, and a loop was created for the laser control. Optical phantoms were prepared to model tissue for measurements using 20 % intralipid that gave μs = 298 mm−¹ at the excitation wavelength. Agar 1% w/v and ICG were added to the phantoms using different fluorophore concentrations of 2 μg/mL, 10 μg/mL, 20 μg/mL, 25 μg/mL, and 40 μg/mL. The objective was to perform controlled measurements of steady state ICG fluorescence, the dynamics of photobleaching at different concentrations, and to find the optimal ICG concentration for obtaining the maximum fluorescence intensity. The light to excite ICG fluorescence emission was provided by using a laser output power of 10.4 mW and 200 ms of integration time in the spectrometer for optimal measurements.Measurements using the different gel phantoms showed maximum fluorescence ICG concentration to be between 16 μg/mL and 20 μg/mL. Moreover, photobleaching measurements showed to be ICG concentration-dependent, where those concentrations higher than the optimal one incrementally photobleached with time after being exposed to light. Higher concentrations presented an incremental photobleaching where they first reached a maximum peak and then the intensity decayed with time. Additionally, laser reflection at 782 nm showed that the reflection increased with time ranging from 130% – 460% as the ICG photobleached to 50% of its initial value. Normalization of ICG by the laser reflection signal was investigated to compensate for the intensity variations due to the measurement parameters including the distance from the light source to the target, and the angle of inclination of the probe. The lowest ICG concentration detectable by the system was 0.05 μg/mL.In conclusion, a LabVIEW hardware control and user interface was developed for controlling the spectrometer and the laser. Several measurements were made using the different phantoms, where the optimal concentration of ICG was estimated. It was shown that ICG fluorescence intensity and photobleaching behavior were dependent on the concentration. The results gave suggestions for future experimental design.
NIRF
4

Davis, R. Wesley. "A digital communication system using near infrared radiation transmitted through the atmosphere : presented." Scholarly Commons, 1993. https://scholarlycommons.pacific.edu/uop_etds/2253.

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A prototype communication system has been designed, built and tested. The system is a digital communication system that uses near infrared radiation transmitted through the atmosphere. The prototype system consists of two transceivers, each with associated electronics and power supplies. Each transceiver is capable of simultaneously transmitting and receiving light at a wavelength of 830 nm . The transmitter emits light in a 0.3 degree (full angle) cone through the atmosphere , while the receiver accepts light within its 0.33 degree field of view. For the purpose of alignment, each receiver also has an eyepiece and alignment reticle with a field-of-view of approximately 1.5 degrees. The system is capable of transmitting and receiving digital data at a rate of up to 72 thousand bits per second (kbps) over a distance of 0 . 2 km on a clear day with an average transmitted power of less than 100 MW. Data is encoded for transmission using Pulse Position Modulation (PPM). The transmitting electronics include a pulse code modulation (PCM) voice digitizer, PPM modulator, and infrared emitter driver circuitry. The receiving circuitry includes a photodiode with bias supply and preamplifier, PPM automatic gain control, PPM demodulator, and PCM digital to analog converter Finally, a model has been developed which describes system performance. The model may be used for investigating the performance of other similar systems which may need t o meet specific design criteria or restrictions.
5

Kricke, Ralph [Verfasser]. "Lip Motion Analysis for a Person Authentication System under Near Infrared Illumination / Ralph Kricke." München : Verlag Dr. Hut, 2011. http://d-nb.info/1015608108/34.

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6

Akin, Ryan E. "Minimally invasive assessment of lymphatic pumping pressure using near infrared imaging." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47536.

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Although the major functions of the lymphatic system are fairly well defined, its vasculature has yet to be well characterized in comparison to its blood vasculature counterpart. Recent advances in optical imaging techniques have allowed for more detailed and quantitative evaluations of lymph flow dynamics and mechanism. A rat tail is often used for investigations of lymph flow because of the simple geometry, superficial nature, and disease progression models of its collecting lymphatic vessels. In this study, a pressure cuff system was fabricated and coupled with an existing functional near infrared (NIR) imaging system to measure the overall pumping pressure of the lymphatic vessels of a rat tail. In addition to adapting the system for use on rodents, previous systems used for measuring lymphatic pumping pressure in humans were improved upon in several ways. The system defined here utilizes closed-loop feedback control of pressure application at smaller, more precise intervals. Using this device, a significant difference in lymphatic vessel pumping pressure was detected between a control case and a treatment case in which a vasoactive substance with a nitric oxide donor (GTNO ointment) was applied to the tail. Although it is known that nitric oxide plays a crucial physiologic role in propagation of flow through lymphatic vessels, this study has quantified its significant pharmacological reduction of pumping pressure for the first time.
7

Hall, David Jonathan. "The development of a near infrared time resolved imaging system and the assessment of the methodology for breast imaging." Thesis, University College London (University of London), 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243779.

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8

Harten, Paul Alexander. "Ultrafast phenomena in gallium arsenide/aluminum gallium arsenide multiple quantum well waveguide structures using a near infrared femtosecond laser system." Diss., The University of Arizona, 1992. http://hdl.handle.net/10150/185954.

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A near infrared hybridly mode-locked dye laser system consisting of a femtosecond oscillator and a high repetition rate dye amplifier was designed and built. This system was then applied to the study of room temperature below-bandgap femtosecond switching and coherent pulse propagation in GaAs/GaAlAs multiple quantum well waveguides. The noise properties of the oscillator output were studied using radio frequency spectrum analysis techniques. Two distinct modes of operation were identified: The first is characterized by the shortest pulse duration and its real-time autocorrelation signal appears more strongly modulated. The second mode of operation, which exhibits a slightly longer pulse duration and a smoother real-time autocorrelation signal, is obtained for a relative cavity length detuning of ΔL = -0.7 μm. Unexpectedly, the second mode features larger pulse duration fluctuations than the first mode and self-pulsing, while the pulse repetition timing and pulse energy fluctuations were found to be similar in both cases, making the first mode preferable for use in time-resolved experiments. Femtosecond all-optical switching under off-resonance room temperature excitation was demonstrated in a passive GaAs/AlGaAs multiple quantum well directional coupler for the first time. The required phase mismatch originates from an ultrafast refractive index change caused by the optical Stark effect. The main obstacle regarding practical device applications is its low transmission (less than 10%). The use of electrically pumped semiconductor waveguides that provide gain promises to remove this disadvantage. Below-resonance, coherent pulse breakup in a room temperature semiconductor waveguide was observed for the first time. Numerical simulations of the coupled semiconductor Maxwell-Bloch equations show that the light-matter interaction can induce enough chirp through self-phase modulation during propagation in order to violate the initial adiabatic following regime and cause pulse breakup. This coherent effect is distinctly different from self-induced transparency, because it does not involve Rabi-oscillations at the start of propagation, from temporal solitons, because it does not require group velocity dispersion, and from self-steepening. However, it should be ubiquitous under off-resonance pulse propagation with a pulse duration less than the polarization dephasing time.
9

Dias, Diogo Da Silva. "Design of a low-cost wireless NIRS system withembedded Linux and a smartphone interface." Wright State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1452960014.

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10

Bach, Mathias [Verfasser], and W. [Akademischer Betreuer] Heering. "Near Infrared Laser Sensor System for In-Line Detection of Conversion in UV-Cured Polymer Coatings / Mathias Bach ; Betreuer: W. Heering." Karlsruhe : KIT Scientific Publishing, 2012. http://d-nb.info/1184493200/34.

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Книги з теми "Near infrared system":

1

Ozaki, Y., and Slobodan Šašić. Raman, infrared, and near-infrared chemical imaging. Hoboken, N.J: Wiley, 2010.

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2

HST Calibration Workshop (4th 2002 Baltimore, Md.). The 2002 HST calibration workshop: Hubble after the installation of the ACS and the NICMOS cooling system : proceedings of a workshop held at the Space Telescope Science Institute, Baltimore, Maryland, October 17 and 18, 2002. Baltimore, MD: Published and distributed by the Space Telescope Science Institute, 2003.

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3

Peck, Lindamae. Cold regions performance of optical-fiber and pulsed near-infrared intrusion detection systems. [Hanover, N.H.]: U.S. Army Corps of Engineers, Cold Regions Research & Engineering Laboratory, 1994.

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4

Cubeddu, Rinaldo. Diffuse optical imaging II: 14-17 June 2009, Munich, Germany. Edited by SPIE (Society), Optical Society of America, and European Optical Society. Bellingham, Wash: SPIE, 2009.

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5

Hielscher, Andreas H. Diffuse optical imaging III: 22-24 May 2011, Munich, Germany. Edited by SPIE (Society), Optical Society of America, Deutsche Gesellschaft für Lasermedizin, German Biophotonics Research Program, Photonics4Life (Group), and United States. Air Force. Office of Scientific Research. Bellingham, Wash: SPIE, 2011.

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6

Effect of atmospheric turbulence on the bit error probability of a space to ground near infrared laser communications link using binary pulse position modulation and an avalanche photodiode detector. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1988.

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7

Verschuur, Gerrit L. Impact! Oxford University Press, 1996. http://dx.doi.org/10.1093/oso/9780195101058.001.0001.

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Most scientists now agree that some sixty-five million years ago, an immense comet slammed into the Yucatan, detonating a blast twenty million times more powerful than the largest hydrogen bomb, punching a hole ten miles deep in the earth. Trillions of tons of rock were vaporized and launched into the atmosphere. For a thousand miles in all directions, vegetation burst into flames. There were tremendous blast waves, searing winds, showers of molten matter from the sky, earthquakes, and a terrible darkness that cut out sunlight for a year, enveloping the planet in freezing cold. Thousands of species of plants and animals were obliterated, including the dinosaurs, some of which may have become extinct in a matter of hours. In Impact, Gerrit L. Verschuur offers an eye-opening look at such catastrophic collisions with our planet. Perhaps more important, he paints an unsettling portrait of the possibility of new collisions with earth, exploring potential threats to our planet and describing what scientists are doing right now to prepare for this awful possibility. Every day something from space hits our planet, Verschuur reveals. In fact, about 10,000 tons of space debris fall to earth every year, mostly in meteoric form. The author recounts spectacular recent sightings, such as over Allende, Mexico, in 1969, when a fireball showered the region with four tons of fragments, and the twenty-six pound meteor that went through the trunk of a red Chevy Malibu in Peekskill, New York, in 1992 (the meteor was subsequently sold for $69,000 and the car itself fetched $10,000). But meteors are not the greatest threat to life on earth, the author points out. The major threats are asteroids and comets. The reader discovers that astronomers have located some 350 NEAs ("Near Earth Asteroids"), objects whose orbits cross the orbit of the earth, the largest of which are 1627 Ivar (6 kilometers wide) and 1580 Betula (8 kilometers). Indeed, we learn that in 1989, a bus-sized asteroid called Asclepius missed our planet by 650,000 kilometers (a mere six hours), and that in 1994 a sixty-foot object passed within 180,000 kilometers, half the distance to the moon. Comets, of course, are even more deadly. Verschuur provides a gripping description of the small comet that exploded in the atmosphere above the Tunguska River valley in Siberia, in 1908, in a blinding flash visible for several thousand miles (every tree within sixty miles of ground zero was flattened). He discusses Comet Swift-Tuttle--"the most dangerous object in the solar system"--a comet far larger than the one that killed off the dinosaurs, due to pass through earth's orbit in the year 2126. And he recounts the collision of Comet Shoemaker-Levy 9 with Jupiter in 1994, as some twenty cometary fragments struck the giant planet over the course of several days, casting titanic plumes out into space (when Fragment G hit, it outshone the planet on the infrared band, and left a dark area at the impact site larger than the Great Red Spot). In addition, the author describes the efforts of Spacewatch and other groups to locate NEAs, and evaluates the idea that comet and asteroid impacts have been an underrated factor in the evolution of life on earth. Astronomer Herbert Howe observed in 1897: "While there are not definite data to reason from, it is believed that an encounter with the nucleus of one of the largest comets is not to be desired." As Verschuur shows in Impact, we now have substantial data with which to support Howe's tongue-in-cheek remark. Whether discussing monumental tsunamis or the innumerable comets in the Solar System, this book will enthrall anyone curious about outer space, remarkable natural phenomenon, or the future of the planet earth.

Частини книг з теми "Near infrared system":

1

Edmonds, Harvey L., Michael R. Isley, and Jeffrey R. Balzer. "Near-Infrared Spectroscopy." In Monitoring the Nervous System for Anesthesiologists and Other Health Care Professionals, 219–40. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-0308-1_10.

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2

Hu, J. Y. "The Project of High Spatial Resolution Near Infrared Imaging System at Beijing Observatory." In Science with Astronomical Near-Infrared Sky Surveys, 53–54. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-0946-8_12.

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3

Gunasekera, Saraj. "Near Infrared Excess Energy in Binary System V367 Cygni." In Astrophysics and Space Science Proceedings, 159–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03325-4_14.

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4

Rihong*, Zhu, Chen Lei, Gao Zhishan, He Yong, Wang Qing, Guo Renhui, Li Jianxin, Deng Shaogeng, and Ma Jun. "Near infrared large aperture (24 inches) interferometer system development." In Fringe 2009, 1–4. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03051-2_118.

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5

Dinh, Duc Trinh-Minh, Viet Anh Truong, An Nhu-Phu Tran, Hieu Xuan Le, and Hien Thi-Thu Pham. "Non-invasive Glucose Monitoring System Utilizing Near-Infrared Technology." In IFMBE Proceedings, 401–5. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5859-3_71.

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6

He, Ping, Betty Yang, Sarah Hubbard, Justin Estepp, and Glenn Wilson. "A Sensor Positioning System for Functional Near-Infrared Neuroimaging." In Foundations of Augmented Cognition, 30–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73216-7_4.

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7

Li, Yajie, Haoting Liu, and Yuan Wang. "Near-Infrared Vascular Image Enhancement Using Deep Convolutional Neural Network." In Man-Machine-Environment System Engineering, 356–62. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4786-5_49.

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8

Edmonds, Harvey L., Michael R. Isley, and Jeffrey R. Balzer. "A Guide to Central Nervous System Near-Infrared Spectroscopic Monitoring." In Monitoring the Nervous System for Anesthesiologists and Other Health Care Professionals, 205–17. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-46542-5_12.

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9

Zhao, Shuyan, and Rolf-Rainer Grigat. "An Automatic Face Recognition System in the Near Infrared Spectrum." In Machine Learning and Data Mining in Pattern Recognition, 437–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11510888_43.

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Liu, Haoting, Yajie Li, and Yuan Wang. "The Near-Infrared Forearm Vessel Image Segmentation and Application Using Level Set." In Man-Machine-Environment System Engineering, 343–48. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4786-5_47.

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Тези доповідей конференцій з теми "Near infrared system":

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Kotz, K. T., Y. Gu, and G. W. Faris. "Near Infrared Microfluidic Droplet Control System." In Frontiers in Optics. Washington, D.C.: OSA, 2005. http://dx.doi.org/10.1364/fio.2005.ftuu3.

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Yu, Jiangsheng, Qingming Luo, Dan Zhu, Qiang Lu, and Ruan Yu. "Near-infrared biomedical signal analysis system." In International Symposium on Biomedical Optics, edited by Qingming Luo, Britton Chance, Lihong V. Wang, and Steven L. Jacques. SPIE, 1999. http://dx.doi.org/10.1117/12.364364.

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Cha, Sang-Mok, Ho Jin, In-Soo Yuk, Sungho Lee, Uk-Won Nam, Bongkon Moon, Seungwon Mock, et al. "KASINICS: KASI Near-Infrared Camera System." In SPIE Astronomical Telescopes + Instrumentation, edited by Ian S. McLean and Masanori Iye. SPIE, 2006. http://dx.doi.org/10.1117/12.669903.

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Weng, Rui-Cian, Yen-Pei Lu, Jun-Li Zhang, Min-Yu Lin, and Chi-Hung Wang. "Real-time, near-infrared fluorescence imaging system." In 2015 IEEE 4th Global Conference on Consumer Electronics (GCCE). IEEE, 2015. http://dx.doi.org/10.1109/gcce.2015.7398567.

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5

Lacerenza, Michele, Mauro Buttafava, Marco Renna, Alessandro Torricelli, Alberto Tosi, Alberto Dalla Mora, Franco Zappa, Antonio Pifferi, and Davide Contini. "Wearable time-domain near-infrared spectroscopy system." In Biophotonics in Exercise Science, Sports Medicine, Health Monitoring Technologies, and Wearables, edited by Babak Shadgan and Amir H. Gandjbakhche. SPIE, 2020. http://dx.doi.org/10.1117/12.2544271.

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Goad, L., and J. Beckers. "A Near Infrared Astronomical Adaptive Optics System." In SPIE 1989 Technical Symposium on Aerospace Sensing, edited by Francois J. Roddier. SPIE, 1989. http://dx.doi.org/10.1117/12.960812.

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Lipoma, Phillip C., and Donald P. Walton. "A Two-Dimensional Near-Infrared Tracking System." In 1985 Cambridge Symposium, edited by David P. Casasent. SPIE, 1985. http://dx.doi.org/10.1117/12.950790.

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Lacerenza, Michele, Mauro Buttafava, Marco Renna, L. Marchesi, Alessandro Torricelli, Alberto Tosi, Alberto Dalla Mora, Franco Zappa, Antonio Pifferi, and Davide Contini. "A wearable time domain near-infrared spectroscopy system." In Diffuse Optical Spectroscopy and Imaging, edited by Hamid Dehghani and Heidrun Wabnitz. SPIE, 2019. http://dx.doi.org/10.1117/12.2527057.

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Zhong, Shangzhi, Yanqing Qiu, Zhen Wang, Mingfan Dai, and Bangning Mao. "Circuit System Design of Handheld Near Infrared Spectrometer." In 2019 18th International Conference on Optical Communications and Networks (ICOCN). IEEE, 2019. http://dx.doi.org/10.1109/icocn.2019.8934202.

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Toyofuku, Kunihiko, Yoichi Iwata, Yasuo Hagisato, and Tsuyoshi Kumasaka. "The “Night View System” Using Near-Infrared Light." In SAE 2003 World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2003. http://dx.doi.org/10.4271/2003-01-0018.

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Звіти організацій з теми "Near infrared system":

1

Hutzler, Scott A., and Gary B. Bessee. Remote Near-Infrared Fuel Monitoring System. Fort Belvoir, VA: Defense Technical Information Center, December 1997. http://dx.doi.org/10.21236/ada363918.

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Bhatt, Parth, Curtis Edson, and Ann MacLean. Image Processing in Dense Forest Areas using Unmanned Aerial System (UAS). Michigan Technological University, September 2022. http://dx.doi.org/10.37099/mtu.dc.michigantech-p/16366.

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Анотація:
Imagery collected via Unmanned Aerial System (UAS) platforms has become popular in recent years due to improvements in a Digital Single-Lens Reflex (DSLR) camera (centimeter and sub-centimeter), lower operation costs as compared to human piloted aircraft, and the ability to collect data over areas with limited ground access. Many different application (e.g., forestry, agriculture, geology, archaeology) are already using and utilizing the advantages of UAS data. Although, there are numerous UAS image processing workflows, for each application the approach can be different. In this study, we developed a processing workflow of UAS imagery collected in a dense forest (e.g., coniferous/deciduous forest and contiguous wetlands) area allowing users to process large datasets with acceptable mosaicking and georeferencing errors. Imagery was acquired with near-infrared (NIR) and red, green, blue (RGB) cameras with no ground control points. Image quality of two different UAS collection platforms were observed. Agisoft Metashape, a photogrammetric suite, which uses SfM (Structure from Motion) techniques, was used to process the imagery. The results showed that an UAS having a consumer grade Global Navigation Satellite System (GNSS) onboard had better image alignment than an UAS with lower quality GNSS.
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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, July 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detection, refractometer and a scale (mass). Data were analyzed and provided input for five classification models. Chlorophyll from fluorescence was found to give the best estimation for ripeness stage while the combination of machine vision and firmness from impact performed best for quality sorting. A new algorithm was developed to estimate and minimize training size for supervised classification. A new criteria was established to choose a training set such that a recurrent auto-associative memory neural network is stabilized. Moreover, this method provides for rapid and accurate updating of the classifier over growing seasons, production environments and cultivars. Different classification approaches (parametric and non-parametric) for grading were examined. Statistical methods were found to be as accurate as neural networks in grading. Classification models by voting did not enhance the classification significantly. A hybrid model that incorporated heuristic rules and either a numerical classifier or neural network was found to be superior in classification accuracy with half the required processing of solely the numerical classifier or neural network. In Israel: A multi-sensing approach utilizing non-destructive sensors was developed. Shape, color, stem identification, surface defects and bruises were measured using a color image processing system. Flavor parameters (sugar, acidity, volatiles) and ripeness were measured using a near-infrared system and an electronic sniffer. Mechanical properties were measured using three sensors: drop impact, resonance frequency and cyclic deformation. Classification algorithms for quality sorting of fruit based on multi-sensory data were developed and implemented. The algorithms included a dynamic artificial neural network, a back propagation neural network and multiple linear regression. Results indicated that classification based on multiple sensors may be applied in real-time sorting and can improve overall classification. Advanced image processing algorithms were developed for shape determination, bruise and stem identification and general color and color homogeneity. An unsupervised method was developed to extract necessary vision features. The primary advantage of the algorithms developed is their ability to learn to determine the visual quality of almost any fruit or vegetable with no need for specific modification and no a-priori knowledge. Moreover, since there is no assumption as to the type of blemish to be characterized, the algorithm is capable of distinguishing between stems and bruises. This enables sorting of fruit without knowing the fruits' orientation. A new algorithm for on-line clustering of data was developed. The algorithm's adaptability is designed to overcome some of the difficulties encountered when incrementally clustering sparse data and preserves information even with memory constraints. Large quantities of data (many images) of high dimensionality (due to multiple sensors) and new information arriving incrementally (a function of the temporal dynamics of any natural process) can now be processed. Furhermore, since the learning is done on-line, it can be implemented in real-time. The methodology developed was tested to determine external quality of tomatoes based on visual information. An improved model for color sorting which is stable and does not require recalibration for each season was developed for color determination. Excellent classification results were obtained for both color and firmness classification. Results indicted that maturity classification can be obtained using a drop-impact and a vision sensor in order to predict the storability and marketing of harvested fruits. In conclusion: We have been able to define quantitatively the critical parameters in the quality sorting and grading of both fresh market cantaloupes and tomatoes. We have been able to accomplish this using nondestructive measurements and in a manner consistent with expert human grading and in accordance with market acceptance. This research constructed and used large databases of both commodities, for comparative evaluation and optimization of expert system, statistical and/or neural network models. The models developed in this research were successfully tested, and should be applicable to a wide range of other fruits and vegetables. These findings are valuable for the development of on-line grading and sorting of agricultural produce through the incorporation of multiple measurement inputs that rapidly define quality in an automated manner, and in a manner consistent with the human graders and inspectors.

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