Results 31 to 40 of about 1,226,344 (298)

A detector interferometric calibration experiment for high precision astrometry [PDF]

, 2016
Context: Exoplanet science has made staggering progress in the last two decades, due to the relentless exploration of new detection methods and refinement of existing ones.
Behar, E., Cara, C., Crouzier, A., Delboulbe, A., Donati, M., Doumayrou, E., Dupont, J., Feautrier, P., Goullioud, R., Henault, F., Kern, P., Ketchazo, C., Lafrasse, S., Lagage, P. O., LeDuigou, J. M., Leger, A., Malbet, F., Martin, G., Nemati, B., Potin, S., Preis, O., Rochat, S., Saint-Pe, M., Shao, M., Stadler, E., Zhai, C.   +25 more
core   +2 more sources

A new smart CMOS image sensor with on-chip neuro-fuzzy bleeding detection system for wireless capsule endoscopy

Journal of Medical Signals and Sensors, 2020
Background: In this paper, we have presented a new custom smart CMOS image sensor (CIS) for low power wireless capsule endoscopy. Method: The proposed new smart CIS includes a 256 × 256 current mode pixels array with a new on-chip adaptive neuro-fuzzy ...
Peiman Aliparast
doaj   +1 more source

Beam Test Results of the BTeV Silicon Pixel Detector [PDF]

, 2000
The results of the BTeV silicon pixel detector beam test carried out at Fermilab in 1999-2000 are reported. The pixel detector spatial resolution has been studied as a function of track inclination, sensor bias, and readout threshold.Comment: 8 pages of ...
A. Colautti, A. Mekkaoui, B.K. Hall, C. Newsom, Christian, D. Menasce, D.C. Christian, E.E. Gottschalk, G. Cancelo, G. Cardoso, G. Chiodini, H. Cheung, Hancock, J. Hoff, J.A. Appel, J.C. Wang, J.N. Butler, M. Artuso, M.Di Corato, P.A. Kasper, R. Coluccia, R. Kutschke, R. Yarema, Ragusa, Rohe, S. Sala, S. Zimmermann, S.W. Kwan, Turchetta, Zimmerman, Zimmerman   +30 more
core   +3 more sources

DIFFERENT METHODS FOR REMOTE SENSING DATA INTEGRATION [PDF]

Geodetski Glasnik, 2018
Nowadays remote sensing is an indispensable source of information about Earth's surface, primarily satellite-based remote sensing systems. Traditionally, the analysis of data collected from a particular area was based on the analysis of the data of one ...
Nedim Kulo
doaj   +1 more source

Prototype ATLAS IBL Modules using the FE-I4A Front-End Readout Chip [PDF]

, 2012
The ATLAS Collaboration will upgrade its semiconductor pixel tracking detector with a new Insertable B-layer (IBL) between the existing pixel detector and the vacuum pipe of the Large Hadron Collider.
Albert, J., Alex, M., Alimonti, G., Allport, P., Altenheiner, S., Ancu, L.S., Andreazza, A., Arguin, J., Arutinov, D., Backhaus, M., Bagolini, A., Ballansat, J., Barbero, M., Barbier, G., Bates, R., Battistin, M., Baudin, P., Beau, T., Beccherle, R., Beck, H., Benoit, M., Bensinger, J., Bomben, M., Borri, M., Boscardin, M., Botelho-Direito, J., Bousson, N., Boyd, R.G., Breugnon, P., Bruni, G., Bruschi, M., Buchholz, P., Buttar, C., Cadoux, F., Calderini, G., Caminada, L., Capeans, M., Casse, G., Catinaccio, A., Cavalli-Sforza, M., Chauveau, J., Chu, M., Ciapetti, M., Cindro, V., Citterio, M., Clark, A., Cobal, M., Coelli, S., Colijn, A., Colin, D., Collot, J., Crespo-Lopez, O., Dalla Betta, G., Darbo, G., DaVia, C., David, P., Debieux, S., Delebecque, P., Devetak, E., DeWilde, B., Di Girolamo, G., Dinu, N., Dittus, F., Diyakov, D., Djama, F., Dobos, D., Doonan, K., Dopke, J., Dorholt, O., Dube, S., Dushkin, A., Dzahini, D., Egorov, K., Ehrmann, O., Elldge, D., Elles, S., Elsing, M., Eraud, L., Ereditato, A., Eyring, A., Falchieri, D., Falou, A., Fang, X., Fausten, C., Favre, Y., Ferrere, D., Fleta, C., Fleury, J., Flick, T., Forshaw, D., Fougeron, D., Fritzsch, T., Gabrielli, A., Gaglione, R., Gallrapp, C., Gan, K., Garcia-Sciveres, M., Gariano, G., Gastaldi, T., Gemme, C., Gensolen, F., George, M., Ghislain, P., Giacomini, G., Gibson, S., Giordani, M., Giugni, D., Gjersdal, H., Glitza, K., Gnani, D., Godlewski, J., Gonella, L., Gorelov, I., Gorisek, A., Gossling, C., Grancagnolo, S., Gray, H., Gregor, I., Grenier, P., Grinstein, S., Gromov, V., Grondin, D., Grosse-Knetter, J., Hansen, T., Hansson, P., Harb, A., Hartman, N., Hasi, J., Hegner, F., Heim, T., Heinemann, B., Hemperek, T., Hessey, N., Hetmanek, M., Hoeferkamp, M., Hostachy, J., Hugging, F., Husi, C., Iacobucci, G., Idarraga, J., Ikegami, Y., Janoska, Z., Jansen, J., Jansen, L., Jensen, F., Jentzsch, J., Joseph, J., Kagan, H., Karagounis, M., Kass, R., Kenney, C., Kersten, S., Kind, P., Klingenberg, R., Kluit, R., Kocian, M., Koffeman, E., Kok, A., Korchak, O., Korolkov, I., Kostyukhin, V., Krieger, N., Kruger, H., Kruth, A., Kugel, A., Kuykendall, W., La Rosa, A., Lai, C., Lantzsch, K., Laporte, D., Lapsien, T., Lounis, A., Lozano, M., Lu, Y., Lubatti, H., Macchiolo, A., Mallik, U., Mandic, I., Marchand, D., Marchiori, G., Masso, N., Matthias, W., Mattig, P., Mekkaoui, A., Menouni, M., Menu, J., Meroni, C., Mesa, J., Micelli, A., Micha, S., Miglioranzi, S., Mikuz, M., Mitsui, S., Monti, M., Moore, J., Morettini, P., Muenstermann, D., Murray, P., Nellist, C., Nelson, D., Nessi, M., Neumann, M., Nisius, R., Nordberg, M., Nuiry, F., Oppermann, H., Oriunno, M., Padilla, C., Parker, S., Pellegrini, G., Pelleriti, G., Pernegger, H., Piacquadio, N., Picazio, A., Pohl, D., Polini, A., Popule, J., Portell Bueso, X., Povoli, M., Puldon, D., Pylypchenko, Y., Quadt, A., Quirion, D., Ragusa, F., Rambure, T., Richards, E., Ristic, B., Rothermund, M., Rovani, A., Rozanov, A., Rubinskiy, I., Rudolph, M., Rummler, A., Ruscino, E., Røhne, O., Salek, D., Salzburger, A., Sandaker, H., Schipper, J., Schneider, B., Schorlemmer, A., Schroer, N., Schwemling, P., Seidel, S., Seiden, A., Sicho, P., Skubic, P., Sloboda, M., Smith, D., Sood, A., Spencer, E., Strang, M., Stugu, B., Stupak, J., Su, D., Takubo, Y., Tassan, J., Teng, P., Terada, S., Todorov, T., Tomasek, M., Toms, K., Travaglini, R., Trischuk, W., Troncon, C., Troska, G., Tsiskaridze, S., Tsurin, I., Tsybychev, D., Unno, Y., Vacavant, L., Verlaat, B., Vianello, E., Vigeolas, E., von Kleist, S., Vrba, V., Vuillermet, R., Wang, R., Watts, S., Weber, M., Weber, M., Weigell, P., Weingarten, J., Welch, S., Wenig, S., Wermes, N., Wiese, A., Wittig, T., Yildizkaya, T., Zeitnitz, C., Ziolkowski, M., Zivkovic, V., Zoccoli, A., Zorzi, N., Zwalinsk, L.   +294 more
core   +4 more sources

Model Based Change Detection of Water Body Using Landsat Imagery: A Case Study of Rajshahi Bangladesh

Environment and Natural Resources Journal, 2020
This study detected water bodies which included ponds, lakes, rivers, canals, irrigation land, etc. from Landsat TM (Thematic Mapper) and OLI (Operational Land Imager) data by Pixel Based Model (PBM) for the years 2000 to 2018 and identified the change ...
Tofayel Ahammad, Hafizur Rahaman, B.M. Refat Faisal, Nasrin Sultana   +3 more
doaj   +1 more source

Pixel Detectors

, 2005
Pixel detectors for precise particle tracking in high energy physics have been developed to a level of maturity during the past decade. Three of the LHC detectors will use vertex detectors close to the interaction point based on the hybrid pixel ...
Wermes, Norbert
core   +1 more source

Novel readout circuit architecture for CMOS image sensors minimizing RTS noise [PDF]

, 2011
This letter presents a novel readout architecture and its associated readout sequence for complementary metal–oxide– semiconductor (CMOS) image sensors (CISs) based on switch biasing techniques in order to reduce noisy pixel numbers induced by in-pixel
Magnan, Pierre, Martin-Gonthier, Philippe   +1 more
core   +1 more source

SVPA - THE SEGMENTATION BASED VISUAL PROCESSING ALGORITHM (SVPA) FOR ILLUSTRATION ENHANCEMENTS IN DIGITAL VIDEO PROCESSING (DVP)

ICTACT Journal on Image and Video Processing, 2022
At the present time photographic visual processing is rapidly moving towards the next stage. In addition, a variety of visual processing technologies are evolving, such as splitting image dimensions, calibration, pixel beautification, and high-resolution
J Logeshwaran, T Kiruthiga, V Aravindarajan, Sharan Pravin Ravi   +3 more
doaj   +1 more source

Image Resteoration by BP Neural Based on PSO [PDF]

Xibei Gongye Daxue Xuebao, 2018
Based on PSO-BP algorithm combining particle swarm algorithm with BP neural network algorithm, this paper applies this algorithm to image restoration based on optimization.

doaj   +1 more source