Academic literature on the topic 'POCS'
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Journal articles on the topic "POCS"
Ehlers, A., J. Osborne, S. Slack, R. L. Roper, and C. Upton. "Poxvirus Orthologous Clusters (POCs)." Bioinformatics 18, no. 11 (November 1, 2002): 1544–45. http://dx.doi.org/10.1093/bioinformatics/18.11.1544.
Full textLi, Xiao Qin, and Kang Ling Fang. "Super-Resolution by POCS-SIFT Approach." Applied Mechanics and Materials 519-520 (February 2014): 562–67. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.562.
Full textOnoyama, Takumi, Wataru Hamamoto, Yuri Sakamoto, Shiho Kawahara, Taro Yamashita, Hiroki Koda, Soichiro Kawata, Yohei Takeda, Kazuya Matsumoto, and Hajime Isomoto. "Peroral Cholangioscopy-Guided Forceps Mapping Biopsy for Evaluation of the Lateral Extension of Biliary Tract Cancer." Journal of Clinical Medicine 10, no. 4 (February 5, 2021): 597. http://dx.doi.org/10.3390/jcm10040597.
Full textKandasamy, Senthil Kumar, Balambigai Subramanian, Hemalatha Krishnamoorthy, Chandrasekaran Arumugam, Suganthi V, Yuvasri M, and Shreelogesh D. "Chemically Treated Activated Carbon for Supercapacitor Electrode Derived from Starch of Solanum Tuberosum." Journal of New Materials for Electrochemical Systems 24, no. 2 (June 30, 2021): 78–83. http://dx.doi.org/10.14447/jnmes.v24i2.a04.
Full textKato, Masayuki, Takumi Onoyama, Yohei Takeda, Soichiro Kawata, Hiroki Kurumi, Hiroki Koda, Taro Yamashita, et al. "Peroral Cholangioscopy-Guided Forceps Biopsy and Endoscopic Scraper for the Diagnosis of Indeterminate Extrahepatic Biliary Stricture." Journal of Clinical Medicine 8, no. 6 (June 19, 2019): 873. http://dx.doi.org/10.3390/jcm8060873.
Full textKanno, Yoshihide, Shinsuke Koshita, Takahisa Ogawa, Kaori Masu, Hiroaki Kusunose, Toshitaka Sakai, Toji Murabayashi, et al. "Peroral cholangioscopy by SpyGlass DS versus CHF-B260 for evaluation of the lateral spread of extrahepatic cholangiocarcinoma." Endoscopy International Open 06, no. 11 (November 2018): E1349—E1354. http://dx.doi.org/10.1055/a-0743-5283.
Full textTanisaka, Yuki, Shomei Ryozawa, Kouichi Nonaka, Masami Yasuda, Akashi Fujita, Tomoya Ogawa, Masafumi Mizuide, Tomoaki Tashima, and Ryuichiro Araki. "Diagnosis of Biliary Strictures Using Probe-Based Confocal Laser Endomicroscopy under the Direct View of Peroral Cholangioscopy: Results of a Prospective Study (with Video)." Gastroenterology Research and Practice 2020 (December 31, 2020): 1–9. http://dx.doi.org/10.1155/2020/6342439.
Full textvan Wyk, B. J., and M. A. van Wyk. "A POCS-based graph matching algorithm." IEEE Transactions on Pattern Analysis and Machine Intelligence 26, no. 11 (November 2004): 1526–30. http://dx.doi.org/10.1109/tpami.2004.95.
Full textStasiński, Ryszard, and Janusz Konrad. "Improved POCS reconstruction of stereoscopic views." Signal Processing: Image Communication 17, no. 9 (October 2002): 689–704. http://dx.doi.org/10.1016/s0923-5965(02)00080-2.
Full textWang, Benfeng, Ru-Shan Wu, Yu Geng, and Xiaohong Chen. "Dreamlet-based interpolation using POCS method." Journal of Applied Geophysics 109 (October 2014): 256–65. http://dx.doi.org/10.1016/j.jappgeo.2014.08.008.
Full textDissertations / Theses on the topic "POCS"
Stelzer, Murilo. "Restauração de imagens de microscopia confocal utilizando técnicas POCS." Universidade Federal de São Carlos, 2005. https://repositorio.ufscar.br/handle/ufscar/617.
Full textComputer Optical Sectioning Microscopy (COSM) is widely used in morphological studies of cellular structures. COSM appears as a great challenge to digital image processing, because the large size of the three-dimensional files. The major problem in COSM is the blurring, which practically turn the image unusable without the use of digital image processing techniques. In this work, based on projection onto convex set were developed image processing techniques to restore COSM images, obtained by a confocal microscope. Although confocal microscope presents less blurring than the wide field microscope, it has a larger Poisson noise level. To reduce the Poisson noise the Anscombe Transform (AT) was used as well a pointwise Wiener Filter. The POCS methods were evaluated by means of simulations, using synthetic images (phantom), and the results was evaluated by ISNR (Improvement in Signal Noise Ratio) and UIQ (Universal Quality Index). The developed algorithms, using RAP (Row Action Projection) present satisfactory results, but the computational costs were expensive.
A técnica de Microscopia de Seccionamento Óptico por Computador (COSM) é muito utilizada no estudo morfológico de estruturas celulares. Essa técnica apresenta um grande desafio para a área de processamento de imagens, pois os arquivos tridimensionais possuem grande volume de dados para serem processados. O principal problema do COSM é o borramento existente, que praticamente inviabiliza a utilização dessa imagem sem o uso de técnicas de processamento de imagem. Nesse trabalho, foram desenvolvidas técnicas de projeção em conjuntos convexos POCS (Projection Onto Convex Sets) de processamento de imagens para a restauração das imagens de COSM, obtidas por microscópio confocal. Embora os microscópios confocais apresentem menor borramento da imagem que os microscópios wide field, ele possuem um nível maior de ruído Poisson. Para atenuar o ruído Poisson foi utilizada a Transformada de Anscombe (AT) e o filtro de Wiener pontual. Os métodos POCS, foram avaliados através de simulações utilizando imagens sintéticas (phantoms), e os resultados foram avaliados através do ISNR(Improvement Signal to Noise Ratio) e do UIQ(Universal Quality Index). Os algoritmos desenvolvidos, utilizando RAP (Row Action Projection) apresentaram bons resultados, mas o custo computacional para imagem tridimensional é bastante elevado.
Papa, João Paulo. "Restauração das imagens do satélite CBERS-1 utilizando POCS." Universidade Federal de São Carlos, 2005. https://repositorio.ufscar.br/handle/ufscar/608.
Full textFinanciadora de Estudos e Projetos
The number of applications in remote sensing has widely increased in the last years. The reason for this is mainly the high quality of imaging systems onboard. Among this new generation of satellites, the CBERS-1 (China-Brazil Earth Resources Satellite) was developed through a partnership between Brazil and China, and its main mission is to capture high-resolution images of the Earth using panchromatic and multispectral detectors. However, the information provided by remote sensing needs to be processed to better reflect the radiometric quality of the data, using for this purpose a technique called image restoration. The main goal of image restoration is the reconstruction or recovery of the degraded image using some a priori knowledge of the degradation phenomenon. In this work we developed five image restoration algorithms based on the theory of convex projections, which were obtained through the CBERS-1 band 2 CCD sensor. These algorithms are based on the application of restrictions in convex sets form, through the POCS (Projections Onto Convex Sets) method, where the intersection among these sets, if it exists, gives a satisfactory solution for the problem. The simulations were developed using the RAP (Row-Action Projections), the SIRT (Simultaneous Iterative Reconstruction Technique) and an algorithm that uses prototype image constraints, which were obtained by the methods cited above and by the MIF (Modified Inverse Filter). The results were visually and numerically evaluated.
A quantidade de aplicações oriundas do sensoriamento remoto tem aumentado significativamente nos últimos anos. Isso se deve, principalmente, à alta qualidade dos equipamentos a bordo dos sistemas sensores. Entre essa nova geração de satélites, o CBERS-1 (China-Brazil Earth Resources Satellite) foi desenvolvido através de uma parceria entre Brasil e China, sendo sua missão principal a de capturar imagens de alta resolução da Terra utilizando detectores pancromáticos e multiespectrais. Contudo, as informações oriundas do sensoriamento remoto necessitam ser processadas para melhorar a qualidade radiométrica dos dados, utilizando para tal uma técnica conhecida por restauração de imagens, sendo seu principal objetivo a reconstrução ou recuperação de uma imagem degradada utilizando algum conhecimento a priori do fenômeno de degradação. No presente trabalho foram desenvolvidos cinco algoritmos de restauração de imagens baseados na teoria de projeções convexas, as quais foram obtidas através do sensor CCD da banda 2 do satélite CBERS-1. Estes algoritmos são baseados na aplicação de restrições na forma de conjuntos convexos, através do método de POCS (Projections Onto Convex Sets), sendo que a intersecção entre esses conjuntos, caso exista, fornece uma solução satisfatória para o problema. As simulações foram desenvolvidas utilizando o RAP (Row-Action Projections), SIRT (Simultaneous Iterative Reconstruction Technique) e um algoritmo que utiliza uma restrição de imagem protótipo, a qual foi obtida pelos métodos citados acima e pelo FIM (Filtro Inverso Modificado). Os resultados foram avaliados visualmente e através de análises numéricas.
Salina, Fernando Vernal. "Reconstrução tomográfica de imagens utilizando técnicas POCS seqüenciais e paralelas." Universidade Federal de São Carlos, 2001. https://repositorio.ufscar.br/handle/ufscar/392.
Full textFinanciadora de Estudos e Projetos
In this dissertation four algorithms are presented for the tomographic reconstruction of images using methods denominated POCS - Projections onto Convex Sets, which are the ART - Algebraic Reconstruction Technique, the SIRT - Simultaneous Iterative Reconstructive Technique, the sequencial POCS and parallel POCS. A comparison is made between the reconstruction methods named above, in the presence of noise and in the reconstruction from limited view. In each reconstruction, the result of each iteration is compared with the desired image, also showing the convergence curve for each method. For the tomographic reconstructions, projections from test bodies obtained throught simulation were used and also experimental projections obtained by the mini-tomograph scanner of CNPDIA-EMBRAPA. Although were considered only the reconstruction based an projections obtained with parallel beams, the methods here described can also reconstruct images that are independent of the source-detector geometry used by the tomograph scanner. The use of restrictions over the solutions, as in the case of serial and parallel POCS, demonstrated efficiency in reducing the variability due to the ill-conditioning of the problem.
Nesta dissertação são apresentados quatro algoritmos para reconstrução tomográfica de imagens utilizando o método de projeções em conjuntos convexos (POCS - Projections onto Convex Sets), sendo eles o ART (Algebraic Reconstruction Technique), o SIRT (Simultaneous Iterative Reconstructive Technique), o POCS sequencial e o POCS paralelo. É feita a comparação entre os métodos de reconstrução, acima citados, na presença de ruído e na reconstrução à partir de ângulos limitados. Em cada reconstrução o resultado obtido em cada iteração é comparado com a imagem desejada, mostrando-se também o gráfico de convergência de cada método. Utilizaram-se, para reconstrução tomográfica, projeções de corpos de testes obtidas através de simulação e também projeções obtidas experimentalmente no minitomógrafo do CNPDIA-EMBRAPA. Embora seja considerada somente a reconstrução a partir de projeções obtidas em tomógrafos com feixe de raios paralelos, os métodos expostos podem reconstruir imagens independentemente da geometria fonte-detetor utilizada pelo tomógrafo. O uso de restrições sobre as soluções, como no caso dos métodos POCS sequencial e paralelo, mostrou-se eficaz para reduzir as variações devido ao malcondicionamento do problema.
Weerasinghe, Arachchige Chaminda Perera. "Rotational Motion Artifact Correction in Magnetic Resonance Imaging." University of Sydney. Electrical and Information Engineering, 1999. http://hdl.handle.net/2123/357.
Full textSalina, Fernando Vernal. "Métodos híbridos para reconstrução tomográfica de imagens usando POCS e teoria da estimação." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/76/76132/tde-06042011-091943/.
Full textIn this thesis is pesented a new method for image reconstruction, by transmission tomography, for projections under noise in the counting of photons. The selected method of reconstruction uses the POCS (Projections Onto Convex Sets) technique. The estimation of the original projections from the noisy projections observed is performed through four methods: a) estimation using the MAP (Maximum a Posteriori) criteria; b) through of filtering of the wavelets coefficients of the noisy projections; c) using the pointwise Wiener filter and d) using the Goodman-Belsher filter. We present the result of reconstruction after projection estimation, showing the ISNR (Improvement Signal-to-Noise Ratio) between the reconstructed images on noisy projections, using POCS technique after the estimated projections and without this estimation. We use, for tomographic reconstruction, test body projections obtained through simulation and also projections obtained experimentally in the minitomograph scanner of CNPDIA-EMBRAPA. The use of estimation on noisy projections demonstrated to be efficient in improving the signalnoise ratio in the final image, since this pre-processing makes the sets that projections more restrictive. We should observe that the use of projection filtering is obtained with a cost-benefit ratio rather low, since the largest part of the computational effort is in the image reconstruction phase.
Pérez, Reátegui Daniel Ernesto. "Programación del algoritmo POCS para mejorar la resolución de imágenes de campos de cultivo." Bachelor's thesis, Pontificia Universidad Católica del Perú, 2015. http://tesis.pucp.edu.pe/repositorio/handle/123456789/6449.
Full textTesis
Chongburee, Wachira. "Implementation of Iterative Reconstruction of Images from Multiple Bases Representations." Thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/35379.
Full textIn this thesis, test images are distorted by MBR compression using a Recursive Residual Projection algorithm. This algorithm is a sub-optimal method to find the best basis vector subset for representing images based on multiple orthogonal bases. The MBR distorted images are reconstructed by the iterative method of Projection onto Convex Sets (POCS). Many constraints that form convex sets are reviewed and examined.
Due to the high distortion at the block boundaries, some constraints are introduced particularly to reduce artifacts at the boundaries. Some constraints add energy to the reconstructed images while others remove energy. Thus, the initial vectors play a key role in the performance of the POCS method for better MBR reconstruction. This thesis also determines the most appropriate initial vector for each constraint.
Finally, the composite projections associated with the sign, minimum decreasing and norm-of-slope constraints are used to improve the reconstruction of the MBR distorted images and the effect of ordering of the projections is investigated.
Master of Science
Fumat, Guillaume. "Etude et génération de formes d'ondes "ad hoc" pour les communications. : Une approche algébrique pour l'étude de l'efficacité spectrale et la réduction du PAPR dans les TDCS." Thesis, Toulouse, INSA, 2011. http://www.theses.fr/2011ISAT0030/document.
Full textFor about ten years, spectrum scarcity and the growing need of bandwidth have pushed the studies on cognitive-radio technologies to counter this waste. Among them: the Transform Domain Communication System (TDCS), on which this thesis focuses. Until now, TDCS’ performance in terms of spectral and power efficiency was largely unknown. After introducing the thesis’ industrial and scientific context, the TDCS is introduced and compared with popular technologies such as OFDM and MC-CDMA. The system is then studied by means of the linear modulations’ algebraic framework. This has led to the TDCS’ spectral efficiency determination and to new design rules to jointly achieve a better spectral efficiency and a lower BER. Several methods are then proposed to further increase the spectral efficiency by means of a dense multidimensional modulation. Since a TDCS signal is made of several sines, it suffers from a strong Peak-to-Average Power Ratio (PAPR). Set theoretic estimation is then introduced in a third part and new PAPR-reduction algorithms such as Douglas-Rachford and Reflection Onto Convex Sets are brought to light and achieve better performance than the usual POCS algorithm regarding to the convergence rate, as well as the achieved PAPR
Baldwin, Maria T. "AMNESTY INTERNATIONAL, HUMAN RIGHTS & U.S POLICY." Bowling Green State University / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1162681572.
Full textBengtsson, Martin, and Emil Ågren. "Image enhancement of license plates in images using Super Resolution." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-121682.
Full textBooks on the topic "POCS"
Sisterna, Jaume. La senyora: Pocs jocs fan carta. [Gaüses, Girona]: Llibres del Segle, 2000.
Find full textSisterna, Jaume. La senyora: Pocs jocs fan carta. [Gaüses, Girona]: Llibres del Segle, 2000.
Find full textPoes poes poes. Amsterdam: Nijgh & Van Ditmar, 2001.
Find full textUbillos, Germán. Poco a poco. Fuenlabrada (Madrid): Entrelíneas Editores, 2014.
Find full textPoco a poco. 3rd ed. Boston, Mass., U.S.A: Heinle & Heinle Publishers, 1994.
Find full textHendrickson, James M. Poco a poco. 4th ed. Boston: Heinle & Heinle Publishers, 1997.
Find full textCállate poco a poco. Caracas: Monte Ávila Editores Latinoamericana, 2007.
Find full textPous, Jean. Jean Pous.: François Pous. Roche-la-Molière: Ceysson, 2008.
Find full textPops. New York, N.Y. (440 Park Ave., S., New York 10016): Dramatists Play Service, 1987.
Find full textPops. Sankt-Peterburg: Amfora, 2007.
Find full textBook chapters on the topic "POCS"
Choi, Kang-Sun, Jun-Ki Cho, Min-Cheol Hwang, and Sung-Jea Ko. "POCS-Based Enhancement of De-interlaced Video." In Computer and Information Sciences - ISCIS 2003, 667–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39737-3_83.
Full textLi, Juan, Jin Wu, Guang Hu, and Shen Yang. "Super-Resolution Image Reconstruction Based on Improved POCS Algorithm." In Lecture Notes in Electrical Engineering, 743–52. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4796-1_95.
Full textLuo, Jun, and Ying Chen. "Improve the Resolution of Medical Image Using POCS Algorithm." In Lecture Notes in Electrical Engineering, 757–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34531-9_80.
Full textBong, Wonsun, and Yong Cheol Kim. "High Resolution Image Reconstructed by ARPS Motion Estimation and POCS." In Convergence and Hybrid Information Technology, 113–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24106-2_15.
Full textShang, Li, Shu-fen Liu, and Zhan-li Sun. "Image Super-Resolution Reconstruction Based on Sparse Representation and POCS Method." In Intelligent Computing Theories and Methodologies, 348–56. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22180-9_34.
Full textKim, Yoon, Chun-Su Park, Kyunghun Jang, and Sung-Jea Ko. "Improved POCS-Based De-blocking Algorithm for Block-Transform Compressed Images." In Computer and Information Sciences - ISCIS 2003, 627–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39737-3_78.
Full textKwon, Goo-Rak, Hyo-Kak Kim, Chun-Soo Park, Yoon Kim, and Sung-Jea Ko. "Improved POCS-Based Deblocking Technique Using Wavelet Transform in Block Coded Image." In Advances in Multimedia Information Processing - PCM 2006, 676–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11922162_78.
Full textHussain, Shehzad, Zoran Kostić, and B. Gopinath. "BER Performance of Adaptive RAKE Receiver Using Tap Weights Obtained by POCS Deconvolution Technique." In Wireless Personal Communications, 119–30. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4757-2368-7_8.
Full textFan, Chong, Jianya Gong, Jianjun Zhu, and Lihua Zhang. "POCS Super-Resolution Sequence Image Reconstruction Based on Image Registration Excluded Aliased Frequency Domain." In Lecture Notes in Computer Science, 1240–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-37275-2_155.
Full textTye, Gary, and John Brown. "Pons." In Encyclopedia of Clinical Neuropsychology, 2715–16. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_352.
Full textConference papers on the topic "POCS"
Feichtinger, Hans G., N. Kaiblinger, and Peter Prinz. "POCS approach to Gabor analysis." In Sixth International Workshop on Digital Image Processing and Computer Graphics, edited by Emanuel Wenger and Leonid I. Dimitrov. SPIE, 1998. http://dx.doi.org/10.1117/12.301373.
Full textKim, Bona, Soocheol Jeong, Joongmoo Byun, and Soon Jee Seol. "Curvelet transform-based POCS inf-kdomain." In SEG Technical Program Expanded Abstracts 2012. Society of Exploration Geophysicists, 2012. http://dx.doi.org/10.1190/segam2012-1063.1.
Full textColclough, Douglas D., and Edward L. Titlebaum. "Delay-doppler pocs for specular multipath." In Proceedings of ICASSP '02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.5745519.
Full textColclough and Titlebaum. "Delay-Doppler POCS for specular multipath." In IEEE International Conference on Acoustics Speech and Signal Processing ICASSP-02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.1004780.
Full textStein, Jaime A., Scott Boyer, Kevin Hellman, and John Weigant. "Application of POCS interpolation to exploration." In SEG Technical Program Expanded Abstracts 2010. Society of Exploration Geophysicists, 2010. http://dx.doi.org/10.1190/1.3513590.
Full textYu, G. S., M. W. Marcellin, and M. M. K. Liu. "POCS based error concealment for packet video." In Proceedings DCC '97. Data Compression Conference. IEEE, 1997. http://dx.doi.org/10.1109/dcc.1997.582151.
Full textBozkurt, G., and A. Enis Cetin. "Restoration of error-diffused images using POCS." In 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258). IEEE, 1999. http://dx.doi.org/10.1109/icassp.1999.757528.
Full textDuraisamy, Prakash, Mohammad S. Alam, and Stephen C. Jackson. "Error correction in image registration using POCS." In SPIE Defense, Security, and Sensing, edited by David P. Casasent and Tien-Hsin Chao. SPIE, 2011. http://dx.doi.org/10.1117/12.886573.
Full textKuo, S., and R. J. Mammone. "Refinement of EM restored images using adaptive POCS." In [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing. IEEE, 1991. http://dx.doi.org/10.1109/icassp.1991.151015.
Full textGevrekci, Murat, Bahadir K. Gunturk, and Yucel Altunbasak. "POCS-Based Restoration of Bayer-Sampled Image Sequences." In 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/icassp.2007.366017.
Full textReports on the topic "POCS"
Shockey, Edward G., Alan G. Bolf, Paul F. Jones, Joseph J. Schwab, and Kevin P. Chaffee. Functionalized Polyhedral Oligosilsesquioxane (POSS) Macromers: New Graftable POSS-Hydride, POSS-Alpha-Olefin, POSS-Epoxy, and POSS-Chlorosilane Macromers and POSS-Siloxane Triblocks. Fort Belvoir, VA: Defense Technical Information Center, December 1997. http://dx.doi.org/10.21236/ada397977.
Full textHaddad, Timothy S., Brent D. Viers, and Shawn H. Phillips. Polyhedral Oligomeric Silsesquioxane (POSS) Styrene Macromers. Fort Belvoir, VA: Defense Technical Information Center, November 2001. http://dx.doi.org/10.21236/ada410398.
Full textViers, B. D., Rene I. Gonzalez, and Shawn H. Phillips. POSS Polymers for Space: Entrepreneurial Research. Fort Belvoir, VA: Defense Technical Information Center, October 2003. http://dx.doi.org/10.21236/ada419193.
Full textMercado Percia, Heiner, ed. #ImageForensics: entrevista a Elisabeth Bik. Journals & Authors - Libro abierto, September 2021. http://dx.doi.org/10.25012/blog.14.09.2021.
Full textCañete Alonso, Rosa. Democracias capturadas: el gobierno de unos pocos. Oxfam, CLASCO, November 2018. http://dx.doi.org/10.21201/2018.3521.
Full textMabry, Joseph M., Timothy S. Haddad, and Steven A. Svejda. Polymer Nanocomposites Containing Polyhedral Oligomeric Silsesquioxanes (POSS). Fort Belvoir, VA: Defense Technical Information Center, December 2004. http://dx.doi.org/10.21236/ada433239.
Full textFox, Douglas. POSS-Modified Cellulose for Improved Biopolymer Performance. Fort Belvoir, VA: Defense Technical Information Center, September 2011. http://dx.doi.org/10.21236/ada566210.
Full textMei, Fan, and Mikhail Pekour. Portable Optical Particle Spectrometer (POPS) Instrument Handbook. Office of Scientific and Technical Information (OSTI), November 2020. http://dx.doi.org/10.2172/1725831.
Full textPhillips, S., R. Gonzales, K. Chaffee, T. Haddad, and G. Hoflund. Remarkable AO Resistance of POSS Inorganic/Organic Polymers. Fort Belvoir, VA: Defense Technical Information Center, January 2000. http://dx.doi.org/10.21236/ada397900.
Full textMoore, Brian M., Sean M. Ramire, Gregory R. Yandek, Timothy S. Haddad, and Joseph M. Mabry. Increasing the Solubility of Inert Peripherally Aromatic POSS. Fort Belvoir, VA: Defense Technical Information Center, October 2010. http://dx.doi.org/10.21236/ada533416.
Full text