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Dissertations / Theses on the topic 'Prediction Motion'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

Lee, Suk Jin. "PREDICTION OF RESPIRATORY MOTION." VCU Scholars Compass, 2012. http://scholarscompass.vcu.edu/etd/336.

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Radiation therapy is a cancer treatment method that employs high-energy radiation beams to destroy cancer cells by damaging the ability of these cells to reproduce. Thoracic and abdominal tumors may change their positions during respiration by as much as three centimeters during radiation treatment. The prediction of respiratory motion has become an important research area because respiratory motion severely affects precise radiation dose delivery. This study describes recent radiotherapy technologies including tools for measuring target position during radiotherapy and tracking-based delive

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2

Chibisov, Dmitry. "Design of algorithms for motion planning and motion prediction." kostenfrei, 2009. https://mediatum2.ub.tum.de/node?id=958521.

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3

Ranvik, Arne. "Slip Prediction Based on Manipulator Motion." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-26705.

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Predicting slip during robotic manipulation is of interest for a variety of appli-cations. Especially applications where weak grasps are applied. In this thesis, amodel for predicting slip for a two fingered grasping scenario is considered. Otherthan model parameters, the only measurements or sensor information assumed isof the manipulator joints. Soft objects that deform substantially under appliedforces are especially interesting in terms of frictional behaviour. A soft ball wasused as a test object and parameters for friction and deformation was experimen-tally determined. By grasping and m

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4

Braun, Jennifer L. "The Prediction of Motion Sickness Through People's Perception of Postural Motion." Miami University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=miami1353943941.

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5

Wiest, Jürgen [Verfasser]. "Statistical long-term motion prediction / Jürgen Wiest." Ulm : Universität Ulm, 2017. http://d-nb.info/1128728931/34.

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6

Chung, Hing-yip Ronald, and 鍾興業. "Fast motion estimation with search center prediction." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31220721.

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7

Tavakoli, Behrooz. "Prediction of Strong Ground Motion and Hazard Uncertainties." Doctoral thesis, Uppsala University, Department of Earth Sciences, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-3535.

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<p>The purpose of this thesis is to provide a detailed description of recent methods and scientific basis for characterizing earthquake sources within a certain region with distinct tectonic environments. The focus will be on those characteristics that are most significant to the ground-shaking hazard and on how we can incorporate our current knowledge into hazard analyses for engineering design purposes. I treat two particular geographical areas where I think current hazard analysis methods are in need of significant improvement, and suggest some approaches that have proven to be effective in

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8

Fromreide, Mads. "Motion Prediction by Optimal Paths Through Disordered Landscapes." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for fysikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-24781.

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The ability to navigate safely and efficiently through a given landscape is relevant for any intelligent moving object. Examples range from robotic science and traffic analysis to the behavior within an ecosystem. Through this thesis, methods for finding traffic patterns and predicting future motion, have been constructed based on theory of optimal paths. The algorithms are applied to maritime traffic, in terms of recorded vessel coordinates. \newline By considering the structure of a given traffic situation as a disordered energy landscape, one can define optimal routes within the area. An al

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9

Backman, Anton. "Motion prediction of ego vehicle in complex scenarios." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278497.

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In this thesis, we study the trajectory prediction problem of an ego vehicle,i.e. "predicting" the location of the ego vehicle in the short future. Instead oftraditional methods, we use Machine Learning (ML) techniques since they easilyincorporate features, such as contextual information from the environment, theprediction process The contextual features signicantly improve the predictionquality since they provide important information about the driving environmentand scenarios.The Long Short-Term Memory (LSTM) model is used to develop variouspredictors which utilize dierent features. The pred

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10

Vatis, Yuri. "Non-symmetric adaptive interpolation filter for motion compensated prediction /." Düsseldorf : VDI-Verl, 2009. http://d-nb.info/998470724/04.

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11

Mazzon, Riccardo. "Motion prediction and interaction localisation of people in crowds." Thesis, Queen Mary, University of London, 2013. http://qmro.qmul.ac.uk/xmlui/handle/123456789/8605.

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The ability to analyse and predict the movement of people in crowded scenarios can be of fundamental importance for tracking across multiple cameras and interaction localisation. In this thesis, we propose a person re-identification method that takes into account the spatial location of cameras using a plan of the locale and the potential paths people can follow in the unobserved areas. These potential paths are generated using two models. In the first, people’s trajectories are constrained to pass through a set of areas of interest (landmarks) in the site. In the second we integrate a goal-dr

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12

Conte, Dean Edward. "Autonomous Robotic Escort Incorporating Motion Prediction with Human Intention." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/102581.

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This thesis presents a framework for a mobile robot to escort a human to their destination successfully and efficiently. The proposed technique uses accurate path prediction incorporating human intention to locate the robot in front of the human while walking. Human intention is inferred by the head pose, an effective past-proven implicit indicator of intention, and fused with conventional physics-based motion prediction. The human trajectory is estimated and predicted using a particle filter because of the human's nonlinear and non-Gaussian behavior, and the robot control action is determined

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13

Vasquez, Govea Alejandro Dizan. "Incremental learning for motion prediction of pedestrians and vehicles." Grenoble INPG, 2007. https://tel.archives-ouvertes.fr/tel-00155274.

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Le thème principal de cette thèse est la prédiction des mouvements. Ce thème est traité en partant de l'hypothèse que les piétons et les véhicules ne déplacent pas au hasard, mais ils suivent des « comportements typiques» qui peuvent être appris et utilisés ensuite dans une phase de prédiction. L'approche proposée aborde trois questions fondamentales: Modélisation: Ce travail se base en l'utilisation d'un modèle probabiliste, les modèles cachés de Markov, pour représenter les comportements typiques. Apprentissage: La thèse propose une extension aux modèles cachés de Markov qui permet d'apprend

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14

Yang, Tao. "visual tracking and object motion prediction for intelligent vehicles." Thesis, Bourgogne Franche-Comté, 2019. http://www.theses.fr/2019UBFCA005.

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Le suivi d’objets et la prédiction de mouvement sont des aspects importants pour les véhicules autonomes. Tout d'abord, nous avons développé une méthode de suivi mono-objet en utilisant le compressive tracking, afin de corriger le suivi à base de flux optique et d’arriver ainsi à un compromis entre performance et vitesse de traitement. Compte tenu de l'efficacité de l'extraction de caractéristiques comprimées (compressive features), nous avons appliqué cette méthode de suivi au cas multi-objets pour améliorer les performances sans trop ralentir la vitesse de traitement. Deuxièmement, nous avon

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15

Bataineh, Mohammad Hindi. "New neural network for real-time human dynamic motion prediction." Thesis, The University of Iowa, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3711174.

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<p> Artificial neural networks (ANNs) have been used successfully in various practical problems. Though extensive improvements on different types of ANNs have been made to improve their performance, each ANN design still experiences its own limitations. The existing digital human models are mature enough to provide accurate and useful results for different tasks and scenarios under various conditions. There is, however, a critical need for these models to run in real time, especially those with large-scale problems like motion prediction which can be computationally demanding. For even small c

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16

Sheikh, M. S. "Prediction of particle residence times in cascading rotary dryers." Thesis, Teesside University, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.378933.

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The objectives of this research were to provide a better understanding of particle motion in cascading rotary dryers. This would lead to more soundly based design procedures. Experiments were performed, to check the validity of a proposed design method for dryers operating in the under-loaded and design loaded conditions developed by Matchett and Baker, on a pilot plant rig at Teesside Polytechnic using wheat and sand in the absence of airflow. The model considers the particles to move in two parallel phases, the airborne phase contains the material in flight and the dense phase contains the r

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17

Matsangas, Panagiotis. "A linear physiological visual-vestibular interaction model for the prediction of motion sickness incidence." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Sep%5FMatsangas.pdf.

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Thesis (M.S. in Operations Research and M.S. in Modeling, Virtual Environments and Simulation)--Naval Postgraduate School, Sept. 2004.<br>Thesis Advisor(s): Michael McCauley, Nita Miller. Includes bibliographical references (p. 149-162). Also available online.

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18

Volz, Claudius. "Concealment of Video Transmission Packet Losses Based on Advanced Motion Prediction." Thesis, Linköping University, Department of Electrical Engineering, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1771.

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<p>Recent algorithms for video coding achieve a high-quality transmission at moderate bit rates. On the other hand, those coders are very sensitive to transmission errors. Many research projects focus on methods to conceal such errors in the decoded video sequence. </p><p>Motion compensated prediction is commonly used in video coding to achieve a high compression ratio. This thesis proposes an algorithm which uses the motion compensated prediction of a given video coder to predict a sequence of several complete frames, based on the last correctly decoded images, during a transmission interrupt

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19

Alnowami, Majdi Rashed S. "Adaptive modelling and prediction of respiratory motion in external beam radiotherapy." Thesis, University of Surrey, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.582747.

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The latter two decades of the last century saw significant improvements in External Beam Radiotherapy (EBRT), moved primarily by the advances in imaging modalities and computer-based treatment planning. These advances led to introducing the addition of a fourth dimension, time, to the three-dimensional EBRT arena. This new era in EBRT brings with it challenges and opportunities, in particular to compensate for the effect of respiratory-induced target motion and enhancing treatment delivery. Thus, characterising and modelling respiratory motion is of major importance in this research area. This

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20

Salui, Kumar Bappaditya. "Prediction of hydrodynamic coefficients during roll motion of ship using RANSE." Thesis, University of Strathclyde, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.431847.

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21

Khays, Samir. "Motion Prediction of Surrounding Vehicles in Highway Scenarios With Deep Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254408.

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Anticipating the future positions of the surrounding vehicles is a crucial task foran autonomous vehicle in order to drive safely. To foresee complex manoeuvresfor longer time horizons, a framework that relies on high-level properties ofmotion and is able to incorporate, e.g. contextual features, is needed. In thisthesis, the problem of predicting the trajectories of the surrounding vehicles ona highway is tackled by using machine learning. The objective is to evaluate theperformance of recurrent neural networks for trajectory prediction, specificallylong-short term memory neural networks. Mor

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22

Sapankevych, Nicholas. "Constrained Motion Particle Swarm Optimization for Non-Linear Time Series Prediction." Scholar Commons, 2015. https://scholarcommons.usf.edu/etd/5569.

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Time series prediction techniques have been used in many real-world applications such as financial market prediction, electric utility load forecasting, weather and environmental state prediction, and reliability forecasting. The underlying system models and time series data generating processes are generally complex for these applications and the models for these systems are usually not known a priori. Accurate and unbiased estimation of time series data produced by these systems cannot always be achieved using well known linear techniques, and thus the estimation process requires more advanc

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23

Lasota, Przemyslaw A. (Przemyslaw Andrzej). "Robust human motion prediction for safe and efficient human-robot interaction." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122497.

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Thesis: Ph. D. in Autonomous Systems, Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2019<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 175-188).<br>From robotic co-workers in factories to assistive robots in homes, human-robot interaction (HRI) has the potential to revolutionize a large array of domains by enabling robotic assistance where it was previously not possible. Introducing robots into human-occupied domains, however, requires strong consideration for the safety and efficiency of the interaction. One particu

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24

Rai, Manisha. "Topographic Effects in Strong Ground Motion." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/56593.

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Ground motions from earthquakes are known to be affected by earth's surface topography. Topographic effects are a result of several physical phenomena such as the focusing or defocusing of seismic waves reflected from a topographic feature and the interference between direct and diffracted seismic waves. This typically causes an amplification of ground motion on convex features such as hills and ridges and a de-amplification on concave features such as valleys and canyons. Topographic effects are known to be frequency dependent and the spectral accelerations can sometimes reach high values cau

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25

Pei, Jiantao, and n/a. "The Accuracy of Time-to-Contact Estimation in the Prediction Motion Paradigm." University of Canberra. Applied Science, 2002. http://erl.canberra.edu.au./public/adt-AUC20050627.143329.

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This thesis is concerned with the accuracy of our estimation of time to make contact with an approaching object as measured by the “Prediction Motion” (PM) technique. The PM task has commonly been used to measure the ability to judge time to contact (TTC). In a PM task, the observer's view of the target is occluded for some period leading up to the moment of impact. The length of the occlusion period is varied and the observer signals the moment of impact by pressing a response key. The interval separating the moment of occlusion and the response is interpreted as the observer's estimate of TT

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26

Kelling, Nicholas J. "An investigation of human capability to predict the future location of objects in motion." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/28103.

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Thesis (M. S.)--Psychology, Georgia Institute of Technology, 2009.<br>Committee Chair: Dr. Gregory M. Corso; Committee Member: Dr. Arthur D. Fisk; Committee Member: Dr. Bruce Walker; Committee Member: Dr. Lawrence R. James; Committee Member: Dr. Paul Corballis; Committee Member: Dr. Robert Gregor

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DAK, HAZIRBABA YILDIZ. "IMAGE-BASED MODELING AND PREDICTION OF NON-STATIONARY GROUND MOTIONS." OpenSIUC, 2015. https://opensiuc.lib.siu.edu/dissertations/1008.

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Nonlinear dynamic analysis is a required step in seismic performance evaluation of many structures. Performing such an analysis requires input ground motions, which are often obtained through simulations, due to the lack of sufficient records representing a given scenario. As seismic ground motions are characterized by time-varying amplitude and frequency content, and the response of nonlinear structures is sensitive to the temporal variations in the seismic energy input, ground motion non-stationarities should be taken into account in simulations. This paper describes a nonparametric approach

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28

Patrick, Timothy. "The Influence of Attentional Entrainment on Temporal and Spatial Predictions of Inferred Motion." Bowling Green State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1562538488263969.

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29

Wang, Anqi. "Prediction of Human Hand Motions based on Surface Electromyography." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78289.

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Tracking human hand motions has raised more attention due to the recent advancements of virtual reality (Rheingold, 1991) and prosthesis control (Antfolk et al., 2010). Surface electromyography (sEMG) has been the predominant method for sensing electrical activity in biomechanical studies, and has also been applied to motion tracking in recent years. While most studies focus on the classification of human hand motions within a predefined motion set, the prediction of continuous finger joint angles and wrist angles remains a challenging endeavor. In this research, a biomechanical knowledge-driv

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Lenkic, Peter Jordan. "Motion enhances or reduces target visibility, depending on prediction and postdiction of shape." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/37054.

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Motion masking refers to the finding that objects are less visible when they appear as part of an apparent motion sequence than when they appear for the same duration in isolation. Against this backdrop of generally impaired visibility, there are reports of a relative visibility benefit when a target on the motion path is spatiotemporally predictable versus when it is unpredictable. The present study investigates whether prediction based on the shape of the originating stimulus in the motion sequence, and postdiction based on the terminating shape, is an aid to the visibility of a target in mo

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Verveniotis, Christos S. "Prediction of motion sickness on high-speed passenger vessels : a human-oriented approach." Thesis, University of Strathclyde, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.415297.

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32

Petersamer, Matthias. "Prediction of motion trajectories based on motor imagery by a brain computer interface." Master's thesis, Pontificia Universidad Católica del Perú, 2017. http://tesis.pucp.edu.pe/repositorio/handle/123456789/11605.

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The aim of this Master's Thesis was to develop a naturally controllable BCI that can predict motion trajectories from the imagination of motor execution. The approach to reach this aim was to nd a correlation between movement and brain data, which can subsequently be used for the prediction of movement trajectories only by brain signals. To nd this correlation, an experiment was carried out, in which a participant had to do triggered movements with its right arm to four di erent targets. During the execution of the movements, the kinematic and EEG data of the participant were recorded.

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33

Callh, Sebastian. "Trajectory-based Arrival Time Prediction using Gaussian Processes : A motion pattern modeling approach." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158623.

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As cities grow, efficient public transport systems are becoming increasingly important. To offer a more efficient service, public transport providers use systems that predict arrival times of buses, trains and similar vehicles, and present this information to the general public. The accuracy and reliability of these predictions are paramount, since many people depend on them, and erroneous predictions reflect badly on the public transport provider. When public transport vehicles move throughout the cities, they create motion patterns, which describe how their positions change over time. This t

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Bahrampouri, Mahdi. "Ground Motion Prediction Equations for Non-Spectral Parameters using the KiK-net Database." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/87704.

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The KiK-net ground motion database is used to develop ground motion prediction equations for Arias Intensity (Ia), 5-95% Significant Duration (Ds5-95), and 5-75% Significant Duration (Ds5-75). Relationships are developed both for shallow crustal earthquakes and subduction zone earthquakes (hypocentral depth less than 45 km). The models developed consider site amplification using VS30 and the depth to a layer with VS=800 m/s (h800). We observe that the site effect for is magnitude dependent. For Ds5-95 and Ds5-75, we also observe strong magnitude dependency in distance attenuation. We compare

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Sugito, Masata. "EARTHQUAKE MOTION PREDICTION, MICROZONATION, AND BURIED PIPE RESPONSE FOR URBAN SEISMIC DAMAGE ASSESSMENT." Kyoto University, 1987. http://hdl.handle.net/2433/138405.

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36

Fan, Zheyu Jerry. "Kalman Filter Based Approach : Real-time Control-based Human Motion Prediction in Teleoperation." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189210.

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This work is to investigate the performance of two Kalman Filter Algorithms, namely Linear Kalman Filter and Extended Kalman Filter on control-based human motion prediction in a real-time teleoperation. The Kalman Filter Algorithm has been widely used in research areas of motion tracking and GPS-navigation. However, the potential of human motion prediction by utilizing this algorithm is rarely being mentioned. Combine with the known issue - the delay issue in today’s teleoperation services, the author decided to build a prototype of simple teleoperation model based on the Kalman Filter Algorit

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Boonpratatong, Amaraporn. "Motion prediction and dynamic stability analysis of human walking : the effect of leg property." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/motion-prediction-and-dynamic-stability-analysis-of-human-walking-the-effect-of-leg-property(f36922af-1231-4dac-a92f-a16cbed8d701).html.

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The objective of this thesis is to develop and validate a computational framework based on mathematical models for the motion prediction and dynamic stability quantification of human walking, which can differentiate the dynamic stability of human walking with different mechanical properties of the leg. Firstly, a large measurement database of human walking motion was created. It contains walking measurement data of 8 subjects on 3 self-selected walking speeds, which 10 trials were recorded at each walking speed. The motion of whole-body centre of mass and the leg were calculated from the kinet

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Sharma, Yachna. "Surgical skill assessment using motion texture analysis." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51890.

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In this thesis, we propose a framework for automated assessment of surgical skills to expedite the manual assessment process and to provide unbiased evaluations with possible dexterity feedback. Evaluation of surgical skills is an important aspect in training of medical students. Current practices rely on manual evaluations from faculty and residents and are time consuming. Proposed solutions in literature involve retrospective evaluations such as watching the offline videos. It requires precious time and attention of expert surgeons and may vary from one surgeon to another. With recent advanc

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Hürtgen, Gisela [Verfasser], Achim [Akademischer Betreuer] Stahl, and Michael J. [Akademischer Betreuer] Eble. "Determination of lung tumour motion from PET raw data used for accelerometer based motion prediction / Gisela Hürtgen ; Achim Stahl, Michael J. Eble." Aachen : Universitätsbibliothek der RWTH Aachen, 2018. http://d-nb.info/1171323948/34.

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Zhang, Harley (Harley H. ). "Analysis of one-dimensional transforms in coding motion compensation prediction residuals for video applications." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/66707.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student submitted PDF version of thesis.<br>Includes bibliographical references (p. 49).<br>In video coding, motion compensation prediction provides significant increases in overall compression efficiency. The prediction residuals are typically treated as images and compressed by applying two-dimensional transform

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Hayes, E. R. "The prediction of droplet motion and breakup using a vortex model for turbulent flows." Thesis, Cranfield University, 1988. http://dspace.lib.cranfield.ac.uk/handle/1826/10285.

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This document describes the development of a computational model to study the movement and breakup _of droplets in turbulent two-component flows. The aim is to produce a suitable model which will be economical of computing resources and practical for engineering applications. The application of particular interest here is that of water droplets in fully developed turbulent pipe flows of oil. The computational method uses Vortex filaments to produce, in a novel way, instantaneous fluctuating velocities within the flow domain. The trajectory of a particle within this field is predicted by integr

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Arango-Gaviria, Maria Cristina. "Ground-motion prediction for subduction-zone earthquakes : insights from South and Central American data." Thesis, Imperial College London, 2010. http://hdl.handle.net/10044/1/5631.

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Models to predict the ground motion for earthquakes that occur in subduction zones are of great importance for earthquake risk reduction and mitigation in many parts of the world where there is a significant hazard from large earthquakes along the subduction interface and from earthquakes within the subducting slab. Most existing ground-motion predictive equations for subduction-zone events are primarily based on strong-motion recordings from Japan, Cascadia, Mexico, Alaska and New Zealand. In contrast, few records from South and Central America have been included in global predictive equation

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Aryawan, Iwan Darajat. "Development of analysis methods for the assessment of hull girder loading and strength of a turret moored FPSO." Thesis, University of Newcastle Upon Tyne, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327278.

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Davuluri, Pavani. "Prediction of Breathing Patterns Using Neural Networks." VCU Scholars Compass, 2008. http://scholarscompass.vcu.edu/etd/718.

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During the radio therapy treatment, it has been difficult to synchronize the radiation beam with the tumor position. Many compensation techniques have been used before. But all these techniques have some system latency, up to a few hundred milliseconds. Hence it is necessary to predict tumor position to compensate for the control system latency. In recent years, many attempts have been made to predict the position of a moving tumor during respiration. Analyzing external breathing signals presents a methodology in predicting the tumor position. Breathing patterns vary from very regular to irr

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Baier, Volker [Verfasser]. "Motion perception and prediction / Volker Baier." 2006. http://d-nb.info/985175052/34.

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Lei, Chun Chou, and 周雷峻. "A Dynamic Vector Motion Prediction Algorithm." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/20994717687114093180.

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詹文志. "Mobile Motion Prediction and QoS Improvement." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/02417103242283851294.

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碩士<br>國立中正大學<br>資訊管理學系<br>92<br>There are many way to lower handoff drop rate, one of them is prediction. If we can predict the next cell which people will move in, we could preserve bandwidth for him or her, when people move in that cell, the phone call will not drop because of bandwidth reservation. Many people had develop their method to predict the user moving direction, but most of them use sophisticate stochastic processes or they need record huge data to complete the job. We are trying to use simple calculation and a little extract data to predict the user moving direction. What we are

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Uou, Sheng-Tsang, and 游勝滄. "MOTION VECTOR PREDICTION Using CANDIDATE SET." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/17265310302118610621.

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碩士<br>國立臺灣海洋大學<br>資訊工程學系<br>102<br>For video coding standards with high compression ratio and quality, prediction is an essential step. If the prediction is more accurate, then lower bit-rate will be achieved. In this paper, a method is proposed to improve the coding efficiency for motion vectors using predicted motion vector candidate set (PMVCS). PMVCS consists of the motion vectors of blocks, which are the spatial and temporal neighbors of an encoding block. Using the proposed method, a better predicted motion vector can be obtained, which lead to fewer bits allocated for motion vectors. Co

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Chibisov, Dmitry [Verfasser]. "Design of algorithms for motion planning and motion prediction / Dmitry Chibisov." 2009. http://d-nb.info/1000381056/34.

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Chien, Cheng-hui, and 簡誠輝. "Motion Estimation for Inter Prediction in HEVC." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/94610595021564910069.

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碩士<br>國立中央大學<br>通訊工程學系<br>101<br>Inter Prediction of HEVC standard structure includes both Merge Mode Decision and Inter Mode Decision. Reviewing the previous work, someone exploited Template Matching algorithm which employs encoded information to predict in Inter Prediction. Under the condition that it is not necessary to transit header, decoder can reconstruct pictures to reach a reduction of bitrate. In this work, we utilize the same concept to apply on Inter Mode Decision. We proposed Template Matching algorithm in Uni-prediction and use both SABPD and Template Matching algorithm in Bi-pre

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