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Journal articles on the topic 'MPEG-4 BIFS'

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1

Lee, Byoung-Dai. "Provisioning of Context-Aware Augmented Reality Services Using MPEG-4 BIFS." International Journal of Multimedia and Ubiquitous Engineering 9, no. 5 (2014): 73–82. http://dx.doi.org/10.14257/ijmue.2014.9.5.07.

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2

Shin, Jitae, Doug Young Suh, Yongchan Jeong, Seungho Park, Byungjun Bae, and Chunghyun Ahn. "Demonstration of Bidirectional Services Using MPEG-4 BIFS in Terrestrial DMB Systems." ETRI Journal 28, no. 5 (2006): 583–92. http://dx.doi.org/10.4218/etrij.06.0105.0099.

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3

Concolato, C., J. C. Dufourd, and J. C. Moissinac. "Creating and encoding of cartoons using mpeg-4 bifs: methods and results." IEEE Transactions on Circuits and Systems for Video Technology 13, no. 11 (2003): 1129–35. http://dx.doi.org/10.1109/tcsvt.2003.817363.

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4

Simoens, Pieter, Bojan Joveski, Ludovico Gardenghi, et al. "Optimized mobile thin clients through a MPEG-4 BiFS semantic remote display framework." Multimedia Tools and Applications 61, no. 2 (2011): 447–70. http://dx.doi.org/10.1007/s11042-011-0849-3.

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5

Lavagetto, F., and R. Pockaj. "An efficient use of MPEG-4 FAP interpolation for facial animation at 70 bits/frame." IEEE Transactions on Circuits and Systems for Video Technology 11, no. 10 (2001): 1085–97. http://dx.doi.org/10.1109/76.954495.

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6

Kerr, Christopher A., David J. Stensrud, and Xuguang Wang. "Verification of Convection-Allowing Model Ensemble Analyses of Near-Storm Environments Using MPEX Upsonde Observations." Monthly Weather Review 145, no. 3 (2017): 857–75. http://dx.doi.org/10.1175/mwr-d-16-0287.1.

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The Mesoscale Predictability Experiment (MPEX) conducted during the spring of 2013 included frequent coordinated sampling of near-storm environments via upsondes. These unique observations were taken to better understand the upscale effects of deep convection on the environment, and are used to validate the accuracy of convection-allowing (Δ x = 3 km) model ensemble analyses. A 36-member ensemble was created with physics diversity using the Weather Research and Forecasting Model, and observations were assimilated via the Data Assimilation Research Testbed using an ensemble adjustment Kalman fi
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7

Ulacha, Grzegorz, and Ryszard Stasinski. "Entropy Coder for Audio Signals." International Journal of Electronics and Telecommunications 61, no. 2 (2015): 219–24. http://dx.doi.org/10.1515/eletel-2015-0029.

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Abstract In the paper an effective entropy coder designed for coding of prediction errors of audio signals is presented. The coder is implemented inside a greater structure, which signal modeling part is a lossless coding backward adaptation algorithm consisting of cascaded Ordinary Least Squares (OLS), three Normalized Least Mean Square (NLMS), and prediction error bias correction sections. The technique performance is compared to that of four other lossless codecs, including MPEG-4 Audio Lossless (ALS) one, and it is shown that indeed, on the average the new method is the best. The entropy c
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8

Vergara, Humberto, Yang Hong, Jonathan J. Gourley, et al. "Effects of Resolution of Satellite-Based Rainfall Estimates on Hydrologic Modeling Skill at Different Scales." Journal of Hydrometeorology 15, no. 2 (2014): 593–613. http://dx.doi.org/10.1175/jhm-d-12-0113.1.

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Abstract Uncertainty due to resolution of current satellite-based rainfall products is believed to be an important source of error in applications of hydrologic modeling and forecasting systems. A method to account for the input’s resolution and to accurately evaluate the hydrologic utility of satellite rainfall estimates is devised and analyzed herein. A radar-based Multisensor Precipitation Estimator (MPE) rainfall product (4 km, 1 h) was utilized to assess the impact of resolution of precipitation products on the estimation of rainfall and subsequent simulation of streamflow on a cascade of
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Dooley, M. J., S. G. Poole, and D. Rischin. "Comparison of bedside estimates of renal function and measured glomerular filtration rate (GFR) in 510 adult oncology patients." Journal of Clinical Oncology 25, no. 18_suppl (2007): 19512. http://dx.doi.org/10.1200/jco.2007.25.18_suppl.19512.

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19512 Background: Various bedside formulae have been used in practice to estimate renal function to predict drug dosing. Recently the ‘4-variable Modification of Diet in Renal Disease’ (4-v MDRD) equation1 was derived in patients with chronic renal disease and has been advocated for application in oncology. The aim of this study was to compare measured GFR with estimates from formula based equations in adult oncology patients. Methods: GFR was determined using technetium-99m diethyl triamine penta-acetic acid (Tc99mDTPA) clearance, serum creatinine (Jaffe method) was measured and renal functio
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10

Wang, Xianwei, Hongjie Xie, Newfel Mazari, Jon Zeitler, Hatim Sharif, and Weldon Hammond. "Evaluation of a near-real time NEXRAD DSP product in evolution of heavy rain events on the Upper Guadalupe River Basin, Texas." Journal of Hydroinformatics 15, no. 2 (2012): 464–85. http://dx.doi.org/10.2166/hydro.2012.016.

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This study evaluates the Next Generation Weather Radar (NEXRAD) Digital Storm-Total Precipitation product (DSP) by analyzing 30 rain events on the Upper Guadalupe River Basin, Texas, from September 2006 to May 2007. The DSP product provides relatively accurate information on the evolution of rain events at high spatial and temporal resolutions in near-real time. This is particularly important for rainfall estimation of heavy rain events and flash flood forecasting. The DSP's accuracy is comparable to the other NEXRAD product MPE (multisensor precipitation estimator, at hourly resolution and 4
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11

Kitzmiller, David, Suzanne Van Cooten, Feng Ding, et al. "Evolving Multisensor Precipitation Estimation Methods: Their Impacts on Flow Prediction Using a Distributed Hydrologic Model." Journal of Hydrometeorology 12, no. 6 (2011): 1414–31. http://dx.doi.org/10.1175/jhm-d-10-05038.1.

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Abstract This study investigates evolving methodologies for radar and merged gauge–radar quantitative precipitation estimation (QPE) to determine their influence on the flow predictions of a distributed hydrologic model. These methods include the National Mosaic and QPE algorithm package (NMQ), under development at the National Severe Storms Laboratory (NSSL), and the Multisensor Precipitation Estimator (MPE) and High-Resolution Precipitation Estimator (HPE) suites currently operational at National Weather Service (NWS) field offices. The goal of the study is to determine which combination of
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12

Chalermwongphan, Karn, and Prapatpong Upala. "The Analysis of Dynamic O/D Adjustment for Bicycle Traffic Demand Estimation with AIMSUN Simulation Model: A Case Study of Nakhon Sawan Municipality in Thailand." Open Transportation Journal 12, no. 1 (2018): 352–65. http://dx.doi.org/10.2174/1874447801812010352.

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Aim: This research aimed to present the process of estimating bicycle traffic demand in order to design bike routes that meet the daily transportation needs of the people in Nakhon Sawan Municipality. Methods: The primary and secondary traffic data were collected to develop a virtual traffic simulation model with the use of the AIMSUN simulation software. The model validation method was carried out to adjust the origin and destination survey data (O/D matrix) by running dynamic O/D adjustment. The 99 replication scenarios were statistically examined and assessed using the goodness-of-fit test.
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13

O. Akpootu, Davidson, Bello I. Tijjani, and Usman M. Gana. "Empirical models for predicting global solar radiation using meteorological parameters for Sokoto, Nigeria." International Journal of Physical Research 7, no. 2 (2019): 48. http://dx.doi.org/10.14419/ijpr.v7i2.29160.

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The performances of sunshine, temperature and multivariate models for the estimation of global solar radiation for Sokoto (Latitude 13.020N, Longitude 05.250E and 350.8 m asl) located in the Sahelian region in Nigeria were evaluated using measured monthly average daily global solar radiation, maximum and minimum temperatures, sunshine hours, rainfall, wind speed, cloud cover and relative humidity meteorological data during the period of thirty one years (1980-2010). The comparison assessment of the models was carried out using statistical indices of coefficient of determination (R2), Mean Bias
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14

Gould, Zachary R., Jose Mora-Gonzalez, Elroy J. Aguiar, et al. "A catalog of validity indices for step counting wearable technologies during treadmill walking: the CADENCE-Kids study." International Journal of Behavioral Nutrition and Physical Activity 18, no. 1 (2021). http://dx.doi.org/10.1186/s12966-021-01167-y.

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Abstract Background Wearable technologies play an important role in measuring physical activity (PA) and promoting health. Standardized validation indices (i.e., accuracy, bias, and precision) compare performance of step counting wearable technologies in young people. Purpose To produce a catalog of validity indices for step counting wearable technologies assessed during different treadmill speeds (slow [0.8–3.2 km/h], normal [4.0–6.4 km/h], fast [7.2–8.0 km/h]), wear locations (waist, wrist/arm, thigh, and ankle), and age groups (children, 6–12 years; adolescents, 13–17 years; young adults, 1
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15

Ramgolam, Yatindra Kumar, Kaviraj Bangarigadu, and Tavish Hookoom. "A Robust Methodology for Assessing the Effectiveness of Site Adaptation Techniques for Calibration of Solar Radiation Data." Journal of Solar Energy Engineering 143, no. 3 (2020). http://dx.doi.org/10.1115/1.4048547.

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Abstract The abundant spatial and temporal availability of solar energy has been fueling many researches and have been the reason for the proliferation of solar energy applications in the past decades. Many of these applications involve heavy investments and thus require highly accurate and reliable long-term average solar data for efficient deployment of solar energy technologies. Since ground stations are costly, site-specific, scarce and cannot provide long-term solar data, satellite-derived data is the next best alternative. However, satellite models are often unable to capture the complex
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