subject:(Motion prediction)

California State University – Sacramento

1. Shah, Nirav. Video compression and decompression using adaptive rood pattern search.

Degree: MS, Electrical and Electronic Engineering, 2011, California State University – Sacramento

► Video compression is getting more and more important in the electronic world with increased amount of bandwidth and storage requirement due to increase in the… (more)

Subjects/Keywords: Inter-frame prediction; Motion estimation; Motion vector

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APA (6^th Edition):

Shah, N. (2011). Video compression and decompression using adaptive rood pattern search. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.9/1027

Chicago Manual of Style (16^th Edition):

Shah, Nirav. “Video compression and decompression using adaptive rood pattern search.” 2011. Masters Thesis, California State University – Sacramento. Accessed January 20, 2021. http://hdl.handle.net/10211.9/1027.

MLA Handbook (7^th Edition):

Shah, Nirav. “Video compression and decompression using adaptive rood pattern search.” 2011. Web. 20 Jan 2021.

Vancouver:

Shah N. Video compression and decompression using adaptive rood pattern search. [Internet] [Masters thesis]. California State University – Sacramento; 2011. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/10211.9/1027.

Council of Science Editors:

Shah N. Video compression and decompression using adaptive rood pattern search. [Masters Thesis]. California State University – Sacramento; 2011. Available from: http://hdl.handle.net/10211.9/1027

UCLA

2. Su, Junzhu. Biological motion perception: action interaction and prediction.

Degree: Psychology, 2016, UCLA

URL: http://www.escholarship.org/uc/item/2nz129mf

► Humans, as social creatures, are especially adept in perceiving others’ actions and inferring mental states such as intention based on non-verbal cues such as body… (more)

▼ Humans, as social creatures, are especially adept in perceiving others’ actions and inferring mental states such as intention based on non-verbal cues such as body movements. In recent years, substantial advances have been achieved in our understanding of biological motion perception and its relation to other cognitive and motorsensory processes, as well as the underlying neural correlates and computational components. In my thesis, I first focused on the top-down influence of meaningful interactive actions on stimulus visibility. We found that meaningful interaction boosted the visibility of single actor in binocular rivalry paradigm. Second, I investigated the action prediction modulated by action interaction (i.e. either single actor or two interactive actors) with temporal occluder paradigm. We found that observers obtained higher temporal precision in single actor condition but better sensitivity to posture sequence or rotation in two interactive actor condition. Third, we designed novel paradigm by briefly flashing joints near the moving limb to determine how action representation interacts with generic mechanisms for localization of moving features to bias perceived positions of moving joints. We found that global posture information (inversion or upside-down) modulated the effect size of well-established visual illusion (i.e. flash lag effect). Last but not least, I used this paradigm to dissociate local and global mechanisms that may underlie action prediction. By briefly flashing the stationary skeleton during the action viewing, either aligned or misaligned with the walking posture, we measured the motion-induced posture change. We demonstrated the existence of a global mechanism for anticipating changes in whole-body posture over time. However, although inversion of body orientation weakens global processing in biological motion perception, it does not eliminate the use of the global mechanism in predicting future posture even when the action is presented upside-down. This finding is consistent with previous studies of the inversion effect in biological motion perception (Pavlova & Sokolov, 2000; Sumi, 1984), and highlights the robust use of the global mechanism in predicting future actions.

Subjects/Keywords: Psychology; aciton interaction; action prediction; Biological motion

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APA (6^th Edition):

Su, J. (2016). Biological motion perception: action interaction and prediction. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/2nz129mf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Su, Junzhu. “Biological motion perception: action interaction and prediction.” 2016. Thesis, UCLA. Accessed January 20, 2021. http://www.escholarship.org/uc/item/2nz129mf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Su, Junzhu. “Biological motion perception: action interaction and prediction.” 2016. Web. 20 Jan 2021.

Vancouver:

Su J. Biological motion perception: action interaction and prediction. [Internet] [Thesis]. UCLA; 2016. [cited 2021 Jan 20]. Available from: http://www.escholarship.org/uc/item/2nz129mf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Su J. Biological motion perception: action interaction and prediction. [Thesis]. UCLA; 2016. Available from: http://www.escholarship.org/uc/item/2nz129mf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

3. Resink, Tim (author). Vehicle motion prediction for autonomous driving: A deep learning model based on vehicle interaction and road geometry using a semantic map.

Degree: 2019, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:bb469461-b879-40fd-abbc-1a6e0233bf1b

► To be able to understand the dynamic driving environment, an autonomous vehicle needs to predict the mo- tion of other traffic participants in the driving… (more)

▼ To be able to understand the dynamic driving environment, an autonomous vehicle needs to predict the mo- tion of other traffic participants in the driving scene. Motion prediction can be done based on experience and recently observed series of past events, and entails reasoning about probable outcomes with these past ob- servations. Aspects that influence driving behavior comprise many factors, such as general driving physics, infrastructure geometry, traffic rules, weather and so on. Models that are used today are incapable of including many of these aspects. These deep learning models often rely heavily on the past driven trajectory as an information source for future prediction. Sparsely, some work has been done to include interaction between vehicles or some infrastructural features to the model. The lack of information regarding the driving scene can be seen as a missed opportunity, because it is a use- ful feature source to predict the motion of a vehicle. Especially when a map of the driving scene is available, reliable information regarding the road layout can be extracted. In this thesis, a model architecture is sought that is aware of the interaction between vehicles, and that un- derstands the geometry of the roads in the scene. Importantly, map information regarding the driving scene should be used as the primary source of information regarding the road geometry. First, a baseline deep learning model is constructed, that can generate predictions based on the past observed trajectory. To add interaction features to the model, a social pooling module is introduced. The social pooling method allows to efficiently include the driving behavior of other vehicles in the scene. To introduce reliable, map-based road information to the model, two novel methods are proposed. In the first, the predictions from a model are used to extract features in a map. These features describe the road scene around the predicted location, and are used to update these predictions. In the second method, the semantic map is only used to extract a road segment ahead of the vehicle. A road-RNN is introduced to con- struct features regarding the road segment, and an attention mechanism to determine what part of the road segment is relevant for the predictions. These modules are referred to as road-refinement and road-attention respectively. The importance of including both road geometry and interaction methods in the model is shown by con- structing 5 different models that vary in their road-geometric and interaction awareness. A baseline deep learning model is used and extended with a road-geometry module, an interaction module, a combination of the two, or none. To test the prediction capabilities of the models, they are trained on two different datasets. The first dataset, called i80, consists of trajectory recordings from a straight highway with dense traffic. The other dataset is a curved version of the i80, called i80c, where the trajectories and road are transformed to introduce road-geometric variations in the data. The… Advisors/Committee Members: Jonker, Pieter (mentor), Gaisser, F. (mentor), Kooij, Julian (graduation committee), Alonso Mora, Javier (graduation committee), Delft University of Technology (degree granting institution).

Subjects/Keywords: Autonomous driving; Motion prediction; Deep learning

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APA (6^th Edition):

Resink, T. (. (2019). Vehicle motion prediction for autonomous driving: A deep learning model based on vehicle interaction and road geometry using a semantic map. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:bb469461-b879-40fd-abbc-1a6e0233bf1b

Chicago Manual of Style (16^th Edition):

Resink, Tim (author). “Vehicle motion prediction for autonomous driving: A deep learning model based on vehicle interaction and road geometry using a semantic map.” 2019. Masters Thesis, Delft University of Technology. Accessed January 20, 2021. http://resolver.tudelft.nl/uuid:bb469461-b879-40fd-abbc-1a6e0233bf1b.

MLA Handbook (7^th Edition):

Resink, Tim (author). “Vehicle motion prediction for autonomous driving: A deep learning model based on vehicle interaction and road geometry using a semantic map.” 2019. Web. 20 Jan 2021.

Vancouver:

Resink T(. Vehicle motion prediction for autonomous driving: A deep learning model based on vehicle interaction and road geometry using a semantic map. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 20]. Available from: http://resolver.tudelft.nl/uuid:bb469461-b879-40fd-abbc-1a6e0233bf1b.

Council of Science Editors:

Resink T(. Vehicle motion prediction for autonomous driving: A deep learning model based on vehicle interaction and road geometry using a semantic map. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:bb469461-b879-40fd-abbc-1a6e0233bf1b

University of Manchester

4. Boonpratatong, Amaraporn. Motion prediction and dynamic stability analysis of human walking : the effect of leg property.

Degree: PhD, 2013, University of Manchester

URL: 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 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.606996

► 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… (more)

▼ 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 kinetic-kinematic measurement data. The fundamentals of leg property have been presented, and the parameters of leg property were extracted from the measurement data of human walking where the effects of walking speed and condition of foot-ground contact were investigated. Three different leg property definitions comprising linear axial elastic leg property, nonlinear axial elastic leg property and linear axial-tangential elastic leg property were used to extracted leg property parameters. The concept of posture-dependent leg property has been proposed, and the leg property parameters were extracted from the measurement data of human walking motion where the effects of walking speed and condition of foot-ground contact were also investigated. The compliant leg model with axial elastic property (CAE) was used for the dynamic stability analysis of human walking with linear and nonlinear axial elastic leg property. The compliant leg model with axial and tangential elastic property (CATE) was used for that with linear axial-tangential elastic leg property. The posture - dependent elastic leg model (PDE) was used for that with posture-dependent leg property. It was found that, with linear axial elastic leg property, the global stability of human walking improves with the bigger touchdown contact angle. The average leg property obtained from the measurement data of all participants allows the maximum global stability of human walking. With nonlinear axial elastic leg property, the global stability decreases with the stronger nonlinearity of leg stiffness. The incorporation of the tangential elasticity improves the global stability and shifts the stable walking velocity close to that of human walking at self-selected low speed (1.1-1.25 m/s).By the PDE model, the human walking motions were better predicted than by the CATE model. The effective range of walking prediction was enlarged to 1.12 – 1.8 m/s. However, represented by PDE model, only 1-2 walking steps can be achieved. In addition, the profiles of mechanical energies represented by the PDE model are different from that of the orbital stable walking represented by CATE model. Finally, the minimal requirements of the human walking measurements and the flexibility of simple walking models with deliberate leg property definitions allow the computational framework to be applicable in the dynamic stability analysis of the walking motion with a wide variety of mechanical property of the…

Subjects/Keywords: 610.28; Gait; Stability; Computational model; Motion prediction

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APA (6^th Edition):

Boonpratatong, A. (2013). Motion prediction and dynamic stability analysis of human walking : the effect of leg property. (Doctoral Dissertation). University of Manchester. Retrieved from 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 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.606996

Chicago Manual of Style (16^th Edition):

Boonpratatong, Amaraporn. “Motion prediction and dynamic stability analysis of human walking : the effect of leg property.” 2013. Doctoral Dissertation, University of Manchester. Accessed January 20, 2021. 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 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.606996.

MLA Handbook (7^th Edition):

Boonpratatong, Amaraporn. “Motion prediction and dynamic stability analysis of human walking : the effect of leg property.” 2013. Web. 20 Jan 2021.

Vancouver:

Boonpratatong A. Motion prediction and dynamic stability analysis of human walking : the effect of leg property. [Internet] [Doctoral dissertation]. University of Manchester; 2013. [cited 2021 Jan 20]. Available from: 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 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.606996.

Council of Science Editors:

Boonpratatong A. Motion prediction and dynamic stability analysis of human walking : the effect of leg property. [Doctoral Dissertation]. University of Manchester; 2013. Available from: 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 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.606996

Penn State University

5. Gopalakrishnan, Anand. Neural Temporal Models for Human Motion Prediction.

Degree: 2019, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/16579aug440

► This work proposes novel neural temporal models for predicting and synthesizing human motion, achieving state-of-the-art in modeling long-term motion trajectories while being competitive with prior… (more)

Subjects/Keywords: Motion Prediction; Recurrent Neural Networks; Deep Learning; Motion Synthesis; Human Motion Evaluation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Gopalakrishnan, A. (2019). Neural Temporal Models for Human Motion Prediction. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16579aug440

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Gopalakrishnan, Anand. “Neural Temporal Models for Human Motion Prediction.” 2019. Thesis, Penn State University. Accessed January 20, 2021. https://submit-etda.libraries.psu.edu/catalog/16579aug440.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Gopalakrishnan, Anand. “Neural Temporal Models for Human Motion Prediction.” 2019. Web. 20 Jan 2021.

Vancouver:

Gopalakrishnan A. Neural Temporal Models for Human Motion Prediction. [Internet] [Thesis]. Penn State University; 2019. [cited 2021 Jan 20]. Available from: https://submit-etda.libraries.psu.edu/catalog/16579aug440.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gopalakrishnan A. Neural Temporal Models for Human Motion Prediction. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16579aug440

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Bowling Green State University

6. Patrick, Timothy. The Influence of Attentional Entrainment on Temporal and Spatial Predictions of Inferred Motion.

Degree: PhD, Psychology/Experimental, 2019, Bowling Green State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1562538488263969

► The influence of attentional entrainment on the prediction of dynamic events was explored in three experiments utilizing inferred motion tasks in which a moving disc… (more)

▼ The influence of attentional entrainment on the prediction of dynamic events was explored in three experiments utilizing inferred motion tasks in which a moving disc was visible for a predetermined period before disappearing for the remainder of its movement. In Experiments 1 participants were asked to observe a moving disc that was visible for 1000 ms prior to it moving behind one of three different sized occluded areas. During the period of invisibility, participants were exposed to one of two different isochronous auditory patterns (slow; fast), or they heard nothing. Participants were instructed to press a key to indicate when they believed the moving disc would reach a specific location on the other side of the occluded area. Time to contact was measured. The results of Experiment 1 revealed a significant interaction between the rate of the isochronous pulses and the size of the occlusion. In Experiment 2, the period of visibility was varied in order to keep the total movement time constant for all three levels of occlusion. The results of Experiment 2 replicated the results of Experiment 1 revealing a significant interaction between the rate of the isochronous pulses and the size of the occlusion. Finally, in Experiment 3, participants had to make spatial predictions by clicking the mouse cursor on the screen to indicate where they believed a briefly visible moving object would conclude its path. Preceding the initial movement of the disc, participants were exposed to the same auditory conditions used in Experiments 1 and 2. Accuracy was measured in the number of pixels above or below the actual location, that the cursor was clicked. The results of Experiment 3 revealed that entraining attention to the moment an object begins its movement does not influence the accuracy of spatial predictions when the moving object is only briefly visible. The results indicate that attentional entrainment to isochronous pulses of different rates during a prediction interval can influence the rate of imagined movement of the invisible object. However, entrainment prior to a briefly visible object’s initial movement does not appear to result in higher accuracy of spatial predictions. Advisors/Committee Members: Anderson, Richard (Advisor).

Subjects/Keywords: Cognitive Psychology; attentional entrainment; time to contact; occlusion; prediction motion; inferred motion; spatial prediction; isochronous pulses

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Patrick, T. (2019). The Influence of Attentional Entrainment on Temporal and Spatial Predictions of Inferred Motion. (Doctoral Dissertation). Bowling Green State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1562538488263969

Chicago Manual of Style (16^th Edition):

Patrick, Timothy. “The Influence of Attentional Entrainment on Temporal and Spatial Predictions of Inferred Motion.” 2019. Doctoral Dissertation, Bowling Green State University. Accessed January 20, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1562538488263969.

MLA Handbook (7^th Edition):

Patrick, Timothy. “The Influence of Attentional Entrainment on Temporal and Spatial Predictions of Inferred Motion.” 2019. Web. 20 Jan 2021.

Vancouver:

Patrick T. The Influence of Attentional Entrainment on Temporal and Spatial Predictions of Inferred Motion. [Internet] [Doctoral dissertation]. Bowling Green State University; 2019. [cited 2021 Jan 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1562538488263969.

Council of Science Editors:

Patrick T. The Influence of Attentional Entrainment on Temporal and Spatial Predictions of Inferred Motion. [Doctoral Dissertation]. Bowling Green State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1562538488263969

Delft University of Technology

7. Hillenius, Stijn (author). Deterministic vessel motion prediction based on a wave radar forecast.

Degree: 2017, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:04a1dd82-9ab1-4495-9bba-6e6ef81e137f

► A new development aiming to improve the safety and/or operability of offshore operations is deterministic motion forecasting. Various parties target at developing a radar which… (more)

▼ A new development aiming to improve the safety and/or operability of offshore operations is deterministic motion forecasting. Various parties target at developing a radar which is able to detect wave trains. This deterministic wave forecast can be used to forecast vessel motions up to several minutes ahead. With such a forecast a quiescent period can be searched for, where ship motions are at a minimum. Possible advantages considered for a heavy lift operation are: Safer operations, less waiting on weather and extended lifetime of equipment. With the use of the Heerema Simulation Center (HSC), the possibilities to extend a deterministic wave forecast into a motion forecast is investigated. Thewave components are known in the HSC, so a perfect wave radar is available and the focus is entirely on (1) predicting motions and (2) presenting it in a useful way. The first part of the objective is approached by investigating the possibilities and limitations of making a motion forecast in the frequency domain. This method is convenient since the calculation is easy to understand and very fast, a quality which is most wanted when making a future prediction. To quantify the quality of a wave- andmotion forecast, the correlation coefficient (½) and RMS ratio (¾) are used (forecastedvs logged motion). The model showed good results for heave roll and pitch (½ 0.85 - 1.0, ¾ 0.86 - 1.15) for mild, severe and complex sea-states (all wave directions, respectively). For extreme swell a forecast could not be made. This can be explained by the fact that when motions become larger, a frequency domain approach is no longer valid. However, it should be noted that it is very unlikely a lift operation will take place with Hs > 2m. The sensitivity of themodel to variations in the center of gravity and radii of gyration of the vessel (model input), is found to be within acceptable bounds. The impact is negligible on the phase and small (<10%) on the amplitude of the forecast. With data offshore available with an accuracy of +- 2m, this is acceptable. Two test cases are investigated. A single crane lift (1000 mT module) and a dual crane (7000 mT module). In both cases the model proved to be well capable of forecasting themotion of interest (Heave) of the module (relative to a fixed and floating platform). The second part of the objective has a more qualitative character, where the use of a forecast is tested in the HSC by using a tool that is created for this purpose: the VirtualWave Radar Tool (VWRT). This tool is able to make and display a forecast in the HSC. The tests executed in the HSC showed positive results for the use of a forecast in the crane cabin during a lift operation. A reduction of secondary impact loads in a challenging environment was realized due to the use of the VWRT. Furthermore, a forecasted time span of two minutes (current performance of wave radars on the marked) proved to be long enough to benefit from during a lift operation. The tool demonstrated that simplicity of the dashboard is key and should be… Advisors/Committee Members: Metrikine, Andrei (mentor), Hoving, Jeroen (graduation committee), Meskers, Geert (mentor), Deelen, Thomas (graduation committee), Delft University of Technology (degree granting institution).

Subjects/Keywords: Deterministic wave prediction; Waveradar; Deterministic motion prediction; Decision support tool; Heavy Lift Vessel

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Hillenius, S. (. (2017). Deterministic vessel motion prediction based on a wave radar forecast. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:04a1dd82-9ab1-4495-9bba-6e6ef81e137f

Chicago Manual of Style (16^th Edition):

Hillenius, Stijn (author). “Deterministic vessel motion prediction based on a wave radar forecast.” 2017. Masters Thesis, Delft University of Technology. Accessed January 20, 2021. http://resolver.tudelft.nl/uuid:04a1dd82-9ab1-4495-9bba-6e6ef81e137f.

MLA Handbook (7^th Edition):

Hillenius, Stijn (author). “Deterministic vessel motion prediction based on a wave radar forecast.” 2017. Web. 20 Jan 2021.

Vancouver:

Hillenius S(. Deterministic vessel motion prediction based on a wave radar forecast. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 20]. Available from: http://resolver.tudelft.nl/uuid:04a1dd82-9ab1-4495-9bba-6e6ef81e137f.

Council of Science Editors:

Hillenius S(. Deterministic vessel motion prediction based on a wave radar forecast. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:04a1dd82-9ab1-4495-9bba-6e6ef81e137f

University of Michigan

8. Villegas, Ruben. Modeling Structured Dynamics with Deep Neural Networks.

Degree: PhD, Computer Science & Engineering, 2019, University of Michigan

URL: http://hdl.handle.net/2027.42/153399

► Neural networks have become powerful machinery for identifying patterns from raw input data from large amounts of data. Research adopting neural networks has excelled in… (more)

▼ Neural networks have become powerful machinery for identifying patterns from raw input data from large amounts of data. Research adopting neural networks has excelled in tasks such as object recognition, reinforcement learning, speech recognition, image in-painting, amongst others. Previous works have notably excelled at inferring information about the input data; either from sequence of frames or single frames. However, very few works have focused on modeling structured motion dynamics for generative tasks. Structured motion is defined as the constant topological configuration of objects maintained through time. In this thesis, I develop new neural networks that effectively model structured motion dynamics useful for generative tasks such as future motion prediction and transfer. Accurate structured dynamic models are an important piece in achieving general artificial intelligence. It has been shown that agents equipped with such models can learn from environments with far less interactions due to being able to predict the consequences of their actions. Additionally, accurate motion dynamic models are be useful for applications such as motion editing, motion transfer, and others. Such applications can enhance visual artists ability to create content for the web or can assist movie makers when transferring motion from actors into movie characters with minimal effort. This thesis initially presents motion dynamics models in two dimensions: I first present a neural network architecture that decomposes video into two information pathways that deal with video dynamics and frame spatial layout separately. The two pathways are later combined to generate future frames that contain highly structured objects moving. Second, I propose to take it a step further by having a motion stream that is visually interpretable. Specifically, there is a motion stream that predicts structured motion dynamics as landmarks of the moving structures that evolve through time, and there is an image generation module that generates future frames given the landmarks and a single frame from the past using image analogy principles. Next, we keep the image analogy principles of our previous work, however, we formulate the video prediction problem such that general features for moving objects structures are learned. Finally, by taking advantage of recent advances in computational devices for large scale deep learning research, I present a study on the effects of maximal capacity and minimal inductive bias of neural networks based video prediction frameworks. From our very thorough evaluation and experimentation, we find that network capacity plays a very important role in the performance of deep networks for video prediction that can be applied to any of the previously investigated methods. Consequently, this thesis presents motion dynamics models in three dimensions: I propose a neural kinematics network with adversarial cycle consistency. Specifically, I propose a layer based on the kinematic equations that takes advantage of the backpropagation… Advisors/Committee Members: Lee, Honglak (committee member), Corso, Jason (committee member), Deng, Jia (committee member), Jenkins, Odest Chadwicke (committee member).

Subjects/Keywords: deep learning, structured motion, human motion, video prediction, animation; Computer Science; Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Villegas, R. (2019). Modeling Structured Dynamics with Deep Neural Networks. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/153399

Chicago Manual of Style (16^th Edition):

Villegas, Ruben. “Modeling Structured Dynamics with Deep Neural Networks.” 2019. Doctoral Dissertation, University of Michigan. Accessed January 20, 2021. http://hdl.handle.net/2027.42/153399.

MLA Handbook (7^th Edition):

Villegas, Ruben. “Modeling Structured Dynamics with Deep Neural Networks.” 2019. Web. 20 Jan 2021.

Vancouver:

Villegas R. Modeling Structured Dynamics with Deep Neural Networks. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/2027.42/153399.

Council of Science Editors:

Villegas R. Modeling Structured Dynamics with Deep Neural Networks. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/153399

9. Yan, Yuan. Co-Optimization of Communication, Motion and Sensing in Mobile Robotic Operations.

Degree: 2016, University of California – eScholarship, University of California

URL: http://www.escholarship.org/uc/item/5t05b568

► In recent years, there has been considerable interest in wireless sensor networks and networked robotic systems. In order to achieve the full potential of such… (more)

Subjects/Keywords: Robotics; channel prediction; communication; motion and sensing co-optimization; motion planning; realistic communication environments

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Yan, Y. (2016). Co-Optimization of Communication, Motion and Sensing in Mobile Robotic Operations. (Thesis). University of California – eScholarship, University of California. Retrieved from http://www.escholarship.org/uc/item/5t05b568

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Yan, Yuan. “Co-Optimization of Communication, Motion and Sensing in Mobile Robotic Operations.” 2016. Thesis, University of California – eScholarship, University of California. Accessed January 20, 2021. http://www.escholarship.org/uc/item/5t05b568.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Yan, Yuan. “Co-Optimization of Communication, Motion and Sensing in Mobile Robotic Operations.” 2016. Web. 20 Jan 2021.

Vancouver:

Yan Y. Co-Optimization of Communication, Motion and Sensing in Mobile Robotic Operations. [Internet] [Thesis]. University of California – eScholarship, University of California; 2016. [cited 2021 Jan 20]. Available from: http://www.escholarship.org/uc/item/5t05b568.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yan Y. Co-Optimization of Communication, Motion and Sensing in Mobile Robotic Operations. [Thesis]. University of California – eScholarship, University of California; 2016. Available from: http://www.escholarship.org/uc/item/5t05b568

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Georgia Tech

10. Sharma, Yachna. Surgical skill assessment using motion texture analysis.

Degree: PhD, Electrical and Computer Engineering, 2014, Georgia Tech

URL: http://hdl.handle.net/1853/51890

► 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… (more)

Subjects/Keywords: Surgery; Skill; Classification; Prediction; Motion texture; Surgeons Rating of; Motion; Motor ability; Tactile sensors; Algorithms

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APA (6^th Edition):

Sharma, Y. (2014). Surgical skill assessment using motion texture analysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/51890

Chicago Manual of Style (16^th Edition):

Sharma, Yachna. “Surgical skill assessment using motion texture analysis.” 2014. Doctoral Dissertation, Georgia Tech. Accessed January 20, 2021. http://hdl.handle.net/1853/51890.

MLA Handbook (7^th Edition):

Sharma, Yachna. “Surgical skill assessment using motion texture analysis.” 2014. Web. 20 Jan 2021.

Vancouver:

Sharma Y. Surgical skill assessment using motion texture analysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/1853/51890.

Council of Science Editors:

Sharma Y. Surgical skill assessment using motion texture analysis. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/51890

University of Rochester

11. Park, Woon Ju. A mechanistic understanding of atypical visual processing in Autism Spectrum Disorder.

Degree: PhD, 2018, University of Rochester

URL: http://hdl.handle.net/1802/33431

► A growing number of studies suggest atypical visual processing in autism spectrum disorder (ASD). Given that human behavior heavily relies on visual information, impairments in… (more)

▼ A growing number of studies suggest atypical visual processing in autism spectrum disorder (ASD). Given that human behavior heavily relies on visual information, impairments in visual processing may have cascading effects on many other brain functions. Recent proposals in ASD, both domain-specific and -general, hypothesize different mechanisms that may impact visual abilities in this population. However, empirical support for such accounts has been lacking, and it is unclear whether and how these mechanisms can influence visual perception in ASD. The series of studies in this dissertation examine atypical visual processing mechanisms in ASD under three frameworks: larger receptive field size, elevated internal noise, and impaired prediction abilities. We examine each of these hypotheses in children and adolescents with ASD, using a combination of psychophysics, computational modeling, and eye-tracking. In Chapter 2, we tested the integrity of receptive field size using a visual motion discrimination task. The results showed that individuals with ASD have impaired motion sensitivity at smaller stimulus size, which was best explained by the larger receptive field size account. In Chapter 3, we investigated whether internal noise is elevated in ASD, and found evidence that supports this account. Importantly, we found that higher internal noise was associated with more severe behavioral symptoms of ASD. Lastly, in Chapter 4, we examined the prediction abilities in ASD in the context of visual motion extrapolation. The results demonstrate impaired motion prediction in ASD, which was also accompanied by their atypical eye-movement patterns during the task. Taken together, these studies reveal deficits in visual processing in ASD across a wide range of processing stages. The findings not only provide empirical support for existing proposals of ASD, but also shed lights on the specific mechanisms associated with atypical visual abilities in this population.

Subjects/Keywords: Autism Spectrum Disorder; Internal noise; Motion perception; Prediction; Visual perception

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Park, W. J. (2018). A mechanistic understanding of atypical visual processing in Autism Spectrum Disorder. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/33431

Chicago Manual of Style (16^th Edition):

Park, Woon Ju. “A mechanistic understanding of atypical visual processing in Autism Spectrum Disorder.” 2018. Doctoral Dissertation, University of Rochester. Accessed January 20, 2021. http://hdl.handle.net/1802/33431.

MLA Handbook (7^th Edition):

Park, Woon Ju. “A mechanistic understanding of atypical visual processing in Autism Spectrum Disorder.” 2018. Web. 20 Jan 2021.

Vancouver:

Park WJ. A mechanistic understanding of atypical visual processing in Autism Spectrum Disorder. [Internet] [Doctoral dissertation]. University of Rochester; 2018. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/1802/33431.

Council of Science Editors:

Park WJ. A mechanistic understanding of atypical visual processing in Autism Spectrum Disorder. [Doctoral Dissertation]. University of Rochester; 2018. Available from: http://hdl.handle.net/1802/33431

Universiteit Utrecht

12. Schellekens, W. The predicting brain: anticipation of moving objects in human visual cortex.

Degree: 2015, Universiteit Utrecht

URL: http://dspace.library.uu.nl:8080/handle/1874/311676

► The human brain is nearly constantly subjected to visual motion signals originating from a large variety of external sources. It is the job of the… (more)

Subjects/Keywords: Visual motion; Visual cortex; Prediction; Suppression; High-field fMRI

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Schellekens, W. (2015). The predicting brain: anticipation of moving objects in human visual cortex. (Doctoral Dissertation). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/311676

Chicago Manual of Style (16^th Edition):

Schellekens, W. “The predicting brain: anticipation of moving objects in human visual cortex.” 2015. Doctoral Dissertation, Universiteit Utrecht. Accessed January 20, 2021. http://dspace.library.uu.nl:8080/handle/1874/311676.

MLA Handbook (7^th Edition):

Schellekens, W. “The predicting brain: anticipation of moving objects in human visual cortex.” 2015. Web. 20 Jan 2021.

Vancouver:

Schellekens W. The predicting brain: anticipation of moving objects in human visual cortex. [Internet] [Doctoral dissertation]. Universiteit Utrecht; 2015. [cited 2021 Jan 20]. Available from: http://dspace.library.uu.nl:8080/handle/1874/311676.

Council of Science Editors:

Schellekens W. The predicting brain: anticipation of moving objects in human visual cortex. [Doctoral Dissertation]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/311676

University of Canterbury

13. Joshi, Varun Anil. Near-Fault Forward-Directivity Aspects of Strong Ground Motions in the 2010-11 Canterbury Earthquakes.

Degree: Department of Civil and Natural Resources Engineering, 2013, University of Canterbury

URL: http://hdl.handle.net/10092/8987

► The purpose of this thesis is to conduct a detailed examination of the forward-directivity characteristics of near-fault ground motions produced in the 2010-11 Canterbury earthquakes,… (more)

▼ The purpose of this thesis is to conduct a detailed examination of the forward-directivity characteristics of near-fault ground motions produced in the 2010-11 Canterbury earthquakes, including evaluating the efficacy of several existing empirical models which form the basis of frameworks for considering directivity in seismic hazard assessment. A wavelet-based pulse classification algorithm developed by Baker (2007) is firstly used to identify and characterise ground motions which demonstrate evidence of forward-directivity effects from significant events in the Canterbury earthquake sequence. The algorithm fails to classify a large number of ground motions which clearly exhibit an early-arriving directivity pulse due to: (i) incorrect pulse extraction resulting from the presence of pulse-like features caused by other physical phenomena; and (ii) inadequacy of the pulse indicator score used to carry out binary pulse-like/non-pulse-like classification. An alternative ‘manual’ approach is proposed to ensure 'correct' pulse extraction and the classification process is also guided by examination of the horizontal velocity trajectory plots and source-to-site geometry. Based on the above analysis, 59 pulse-like ground motions are identified from the Canterbury earthquakes , which in the author's opinion, are caused by forward-directivity effects. The pulses are also characterised in terms of their period and amplitude. A revised version of the B07 algorithm developed by Shahi (2013) is also subsequently utilised but without observing any notable improvement in the pulse classification results. A series of three chapters are dedicated to assess the predictive capabilities of empirical models to predict the: (i) probability of pulse occurrence; (ii) response spectrum amplification caused by the directivity pulse; (iii) period and amplitude (peak ground velocity, PGV) of the directivity pulse using observations from four significant events in the Canterbury earthquakes. Based on the results of logistic regression analysis, it is found that the pulse probability model of Shahi (2013) provides the most improved predictions in comparison to its predecessors. Pulse probability contour maps are developed to scrutinise observations of pulses/non-pulses with predicted probabilities. A direct comparison of the observed and predicted directivity amplification of acceleration response spectra reveals the inadequacy of broadband directivity models, which form the basis of the near-fault factor in the New Zealand loadings standard, NZS1170.5:2004. In contrast, a recently developed narrowband model by Shahi & Baker (2011) provides significantly improved predictions by amplifying the response spectra within a small range of periods. The significant positive bias demonstrated by the residuals associated with all models at longer vibration periods (in the Mw7.1 Darfield and Mw6.2 Christchurch earthquakes) is likely due to the influence of basin-induced surface waves and non-linear soil response. Empirical models for the pulse…

Subjects/Keywords: forward-directivity effects; ground motion prediction; probabilistic seismic hazard analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Joshi, V. A. (2013). Near-Fault Forward-Directivity Aspects of Strong Ground Motions in the 2010-11 Canterbury Earthquakes. (Thesis). University of Canterbury. Retrieved from http://hdl.handle.net/10092/8987

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Joshi, Varun Anil. “Near-Fault Forward-Directivity Aspects of Strong Ground Motions in the 2010-11 Canterbury Earthquakes.” 2013. Thesis, University of Canterbury. Accessed January 20, 2021. http://hdl.handle.net/10092/8987.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Joshi, Varun Anil. “Near-Fault Forward-Directivity Aspects of Strong Ground Motions in the 2010-11 Canterbury Earthquakes.” 2013. Web. 20 Jan 2021.

Vancouver:

Joshi VA. Near-Fault Forward-Directivity Aspects of Strong Ground Motions in the 2010-11 Canterbury Earthquakes. [Internet] [Thesis]. University of Canterbury; 2013. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/10092/8987.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Joshi VA. Near-Fault Forward-Directivity Aspects of Strong Ground Motions in the 2010-11 Canterbury Earthquakes. [Thesis]. University of Canterbury; 2013. Available from: http://hdl.handle.net/10092/8987

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Virginia Tech

14. Copana Paucara, Julio. Seismic Slope Stability: A Comparison Study of Empirical Predictive Methods with the Finite Element Method.

Degree: MS, Civil Engineering, 2020, Virginia Tech

URL: http://hdl.handle.net/10919/100797

► A landslide is a displacement on a sloped ground that can be triggered by earthquake shaking. Several authors have investigated the failure mechanisms that lead… (more)

Subjects/Keywords: Slope stability; earthquake; finite element method; ground motion prediction equation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Copana Paucara, J. (2020). Seismic Slope Stability: A Comparison Study of Empirical Predictive Methods with the Finite Element Method. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/100797

Chicago Manual of Style (16^th Edition):

Copana Paucara, Julio. “Seismic Slope Stability: A Comparison Study of Empirical Predictive Methods with the Finite Element Method.” 2020. Masters Thesis, Virginia Tech. Accessed January 20, 2021. http://hdl.handle.net/10919/100797.

MLA Handbook (7^th Edition):

Copana Paucara, Julio. “Seismic Slope Stability: A Comparison Study of Empirical Predictive Methods with the Finite Element Method.” 2020. Web. 20 Jan 2021.

Vancouver:

Copana Paucara J. Seismic Slope Stability: A Comparison Study of Empirical Predictive Methods with the Finite Element Method. [Internet] [Masters thesis]. Virginia Tech; 2020. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/10919/100797.

Council of Science Editors:

Copana Paucara J. Seismic Slope Stability: A Comparison Study of Empirical Predictive Methods with the Finite Element Method. [Masters Thesis]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/100797

University of Canterbury

15. Joshi, Varun Anil. Near-Fault Forward-Directivity Aspects of Strong Ground Motions in the 2010-11 Canterbury Earthquakes.

Degree: M. Eng., Civil Engineering, 2013, University of Canterbury

URL: http://dx.doi.org/10.26021/3482

► The purpose of this thesis is to conduct a detailed examination of the forward-directivity characteristics of near-fault ground motions produced in the 2010-11 Canterbury earthquakes,… (more)

▼ The purpose of this thesis is to conduct a detailed examination of the forward-directivity characteristics of near-fault ground motions produced in the 2010-11 Canterbury earthquakes, including evaluating the efficacy of several existing empirical models which form the basis of frameworks for considering directivity in seismic hazard assessment. A wavelet-based pulse classification algorithm developed by Baker (2007) is firstly used to identify and characterise ground motions which demonstrate evidence of forward-directivity effects from significant events in the Canterbury earthquake sequence. The algorithm fails to classify a large number of ground motions which clearly exhibit an early-arriving directivity pulse due to: (i) incorrect pulse extraction resulting from the presence of pulse-like features caused by other physical phenomena; and (ii) inadequacy of the pulse indicator score used to carry out binary pulse-like/non-pulse-like classification. An alternative ‘manual’ approach is proposed to ensure 'correct' pulse extraction and the classification process is also guided by examination of the horizontal velocity trajectory plots and source-to-site geometry. Based on the above analysis, 59 pulse-like ground motions are identified from the Canterbury earthquakes , which in the author's opinion, are caused by forward-directivity effects. The pulses are also characterised in terms of their period and amplitude. A revised version of the B07 algorithm developed by Shahi (2013) is also subsequently utilised but without observing any notable improvement in the pulse classification results. A series of three chapters are dedicated to assess the predictive capabilities of empirical models to predict the: (i) probability of pulse occurrence; (ii) response spectrum amplification caused by the directivity pulse; (iii) period and amplitude (peak ground velocity, PGV) of the directivity pulse using observations from four significant events in the Canterbury earthquakes. Based on the results of logistic regression analysis, it is found that the pulse probability model of Shahi (2013) provides the most improved predictions in comparison to its predecessors. Pulse probability contour maps are developed to scrutinise observations of pulses/non-pulses with predicted probabilities. A direct comparison of the observed and predicted directivity amplification of acceleration response spectra reveals the inadequacy of broadband directivity models, which form the basis of the near-fault factor in the New Zealand loadings standard, NZS1170.5:2004. In contrast, a recently developed narrowband model by Shahi & Baker (2011) provides significantly improved predictions by amplifying the response spectra within a small range of periods. The significant positive bias demonstrated by the residuals associated with all models at longer vibration periods (in the Mw7.1 Darfield and Mw6.2 Christchurch earthquakes) is likely due to the influence of basin-induced surface waves and non-linear soil response. Empirical models for the pulse…

Subjects/Keywords: forward-directivity effects; ground motion prediction; probabilistic seismic hazard analysis

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Joshi, V. A. (2013). Near-Fault Forward-Directivity Aspects of Strong Ground Motions in the 2010-11 Canterbury Earthquakes. (Masters Thesis). University of Canterbury. Retrieved from http://dx.doi.org/10.26021/3482

Chicago Manual of Style (16^th Edition):

Joshi, Varun Anil. “Near-Fault Forward-Directivity Aspects of Strong Ground Motions in the 2010-11 Canterbury Earthquakes.” 2013. Masters Thesis, University of Canterbury. Accessed January 20, 2021. http://dx.doi.org/10.26021/3482.

MLA Handbook (7^th Edition):

Joshi, Varun Anil. “Near-Fault Forward-Directivity Aspects of Strong Ground Motions in the 2010-11 Canterbury Earthquakes.” 2013. Web. 20 Jan 2021.

Vancouver:

Joshi VA. Near-Fault Forward-Directivity Aspects of Strong Ground Motions in the 2010-11 Canterbury Earthquakes. [Internet] [Masters thesis]. University of Canterbury; 2013. [cited 2021 Jan 20]. Available from: http://dx.doi.org/10.26021/3482.

Council of Science Editors:

Joshi VA. Near-Fault Forward-Directivity Aspects of Strong Ground Motions in the 2010-11 Canterbury Earthquakes. [Masters Thesis]. University of Canterbury; 2013. Available from: http://dx.doi.org/10.26021/3482

Virginia Tech

16. Bahrampouri, Mahdi. Ground Motion Prediction Equations for Non-Spectral Parameters using the KiK-net Database.

Degree: MS, Civil Engineering, 2017, Virginia Tech

URL: http://hdl.handle.net/10919/87704

► 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… (more)

Subjects/Keywords: Ground motion prediction equation; Arias Intensity; Duration; single station analyses

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Bahrampouri, M. (2017). Ground Motion Prediction Equations for Non-Spectral Parameters using the KiK-net Database. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/87704

Chicago Manual of Style (16^th Edition):

Bahrampouri, Mahdi. “Ground Motion Prediction Equations for Non-Spectral Parameters using the KiK-net Database.” 2017. Masters Thesis, Virginia Tech. Accessed January 20, 2021. http://hdl.handle.net/10919/87704.

MLA Handbook (7^th Edition):

Bahrampouri, Mahdi. “Ground Motion Prediction Equations for Non-Spectral Parameters using the KiK-net Database.” 2017. Web. 20 Jan 2021.

Vancouver:

Bahrampouri M. Ground Motion Prediction Equations for Non-Spectral Parameters using the KiK-net Database. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/10919/87704.

Council of Science Editors:

Bahrampouri M. Ground Motion Prediction Equations for Non-Spectral Parameters using the KiK-net Database. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/87704

University of Southern California

17. Lou, Chung-Cheng. Low complexity and high efficiency prediction techniques for video coding.

Degree: PhD, Electrical Engineering, 2011, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/657287/rec/3882

► Video compression has been extensively studied in the last two decades. The success of a coding algorithm relies on the effective removal of spatial and… (more)

Subjects/Keywords: motion estimation; MV search window prediction; mobile devices; memory-constrained system; video coding; motion search range; motion vector prediction; adaptive search range selection; high efficiency video coding

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Lou, C. (2011). Low complexity and high efficiency prediction techniques for video coding. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/657287/rec/3882

Chicago Manual of Style (16^th Edition):

Lou, Chung-Cheng. “Low complexity and high efficiency prediction techniques for video coding.” 2011. Doctoral Dissertation, University of Southern California. Accessed January 20, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/657287/rec/3882.

MLA Handbook (7^th Edition):

Lou, Chung-Cheng. “Low complexity and high efficiency prediction techniques for video coding.” 2011. Web. 20 Jan 2021.

Vancouver:

Lou C. Low complexity and high efficiency prediction techniques for video coding. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2021 Jan 20]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/657287/rec/3882.

Council of Science Editors:

Lou C. Low complexity and high efficiency prediction techniques for video coding. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/657287/rec/3882

Universidade do Rio Grande do Sul

18. Silva, Jonas dos Santos. Implementação da compensação de movimento em vídeo entrelaçado no terminal de acesso do SBTVD.

Degree: 2013, Universidade do Rio Grande do Sul

URL: http://hdl.handle.net/10183/96500

►

Uma sequencia de vídeo pode ser adquirida de forma progressiva ou entrelaçada. No padrão de codificação de vídeo H.264/AVC os campos de uma imagem entrelaçada… (more)

▼

Uma sequencia de vídeo pode ser adquirida de forma progressiva ou entrelaçada. No padrão de codificação de vídeo H.264/AVC os campos de uma imagem entrelaçada podem ser codificados em modo frame (campos top e bottom entrelaçados) ou em modo field (campos top e bottom agrupados separadamente). Quando a escolha é adaptativa para cada par de macro blocos a codificação é chamada de Macroblock Adaptive Frame- Field (MBAFF). Inovações na predição inter-quadro do H.264/AVC contribuíram significantemente para a performance do padrão alcançar o dobro da taxa de compressão do seu antecessor (ITU, 1994), ao custo de um grande aumento de complexidade computacional do CODEC. Dentro da predição inter-quadro, o bloco de compensação de movimento (MC) é responsável pela reconstrução de um bloco de pixels. No decodificador apresentado em (BONATTO, 2012) está integrada uma solução em hardware para o MC que suporta a maior parte do conjunto de ferramentas do perfil Main do H.264/AVC. A compensação de movimento pode ser dividida em predição de vetores e processamento de amostras. No processamento de amostras é realizada a interpolação e a ponderação de amostras. O módulo de ponderação de amostras, ou predição ponderada, utiliza fatores de escala para escalonar as amostras na saída do MC. Isso é muito útil quando há esvanecimento no vídeo. Inicialmente este trabalho apresenta um estudo do processo de compensação de movimento, segundo o padrão de codificação de vídeo H.264/AVC. São abordadas todas as ferramentas da predição inter-quadro, incluindo o tratamento de vídeo entrelaçado e todos os possíveis modos de codificação para o mesmo. A seguir é apresentada uma arquitetura em hardware para a predição ponderada do MC. Esta arquitetura atende o perfil main do H.264/AVC, que prevê a decodificação de imagens frame, field ou MBAFF. A arquitetura apresentada é baseada no compensador de movimento contido no decodificador apresentado em (BONATTO, 2012), que não tem suporte a predição ponderada e a vídeo entrelaçado. A arquitetura proposta é composta por dois módulos: Scale Factor Prediction (SFP) e Weighted Samples Prediction (WSP) . A arquitetura foi desenvolvida em linguagem VHDL e a simulação temporal mostrou que a mesma pode decodificar imagens MBAFF em tempo real @60i. Dessa forma, tornando-se uma ferramenta muito útil ao desenvolvimento de sistemas de codificação e decodificação em HW. Não foi encontrada, na literatura atual, uma solução em hardware para compensação de movimento do padrão H.264/AVC com suporte a codificação MBAFF.

A video sequence can be acquired in a progressive or interlaced mode. In the video coding H.264/AVC standard an interlaced picture can be encoded in frame mode (top and bottom fields interlaced) or field mode (top and bottom fields combined separately). When the choice for each pair of macro-blocks coding is adaptive, it is called Macroblock Adaptive Frame-Field (MBAFF). The innovations in the inter-frame prediction of H.264/AVC contributed significantly to the performance of the standard that achieved twice…

Advisors/Committee Members: Susin, Altamiro Amadeu.

Subjects/Keywords: H264/AVC; Televisão digital; Processamento de imagens; MBAFF; Hardware; Inter-frame prediction; Motion compensation; Samples processing; Weighted prediction; VHDL; Hardware

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Silva, J. d. S. (2013). Implementação da compensação de movimento em vídeo entrelaçado no terminal de acesso do SBTVD. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/96500

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Silva, Jonas dos Santos. “Implementação da compensação de movimento em vídeo entrelaçado no terminal de acesso do SBTVD.” 2013. Thesis, Universidade do Rio Grande do Sul. Accessed January 20, 2021. http://hdl.handle.net/10183/96500.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Silva, Jonas dos Santos. “Implementação da compensação de movimento em vídeo entrelaçado no terminal de acesso do SBTVD.” 2013. Web. 20 Jan 2021.

Vancouver:

Silva JdS. Implementação da compensação de movimento em vídeo entrelaçado no terminal de acesso do SBTVD. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2013. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/10183/96500.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Silva JdS. Implementação da compensação de movimento em vídeo entrelaçado no terminal de acesso do SBTVD. [Thesis]. Universidade do Rio Grande do Sul; 2013. Available from: http://hdl.handle.net/10183/96500

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

19. van Kan, Wesley (author). Deterministic Wave Prediction as Support for Launch & Recovery Operations: A study into applications of the waveradar in the Feadship Comfort System.

Degree: 2017, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:8c98525b-88de-4779-a453-f70e7fe6481c

► Experience-based decision making by crew plays a key role in the safe and effective execution of maritime operations. For yachts and naval vessels, common operations… (more)

▼ Experience-based decision making by crew plays a key role in the safe and effective execution of maritime operations. For yachts and naval vessels, common operations can be identified as helicopter operations (take-off and landing), launch and recovery of small craft and (dis)embarkment to and from these small craft. All of these operations are limited by wave-induced ship motions. For these operations, experience-based decision making does however not always guarantee that the operations are carried out in the most safe and effective manner possible. Also, the level of comfort as experienced by a yacht-owner or guests can be directly affected by this type of decision making. With this in mind, Feadship aims to develop a Feadship Comfort System (FCS), which can contribute to the decision making process. One of the elements of this system is ought to be a waveradar. The aim of this thesis is to describe how the waveradar can be included effectively in the FCS, and how it can be used for the above mentioned operations. The waveradar is in basis a common navigation radar that can perform measurements of the surface elevation in the direct surrounding of a vessel. These measurements can be used to predict the ship's motions up to approximately two minutes ahead in time. With this, windows of opportunity can be distinguished when operations can be carried out best. These windows depend on the corresponding limiting criteria that are set on the ship's motions. A major issue is however that sea trials have shown that the roll prediction is inaccurate. Due to this problem, two methods are evaluated in this thesis to improve the accuracy of the roll prediction. These methods are set up such that they are practical in use and can be applied directly to the deterministic wave predictions from the waveradar. The first method is scaling the response based on the roll motion history, whereas the second method is based on scaling the roll damping. The latter is effectively linearising the viscous contribution to the roll damping. As no data from sea-trials is present to compare these methods, a benchmark calculation is carried out based on Cummins approach. In these time-domain calculations, a linear and non-linear roll damping coefficient are taken into account, which are based on a decay test that is available at De Voogt Naval Architects (DVNA). This follows from model tests performed by MARIN. Comparing both methods to this benchmark calculation showed that the method of scaled damping resulted in the best approximation, with a Pearson correlation coefficient of (only) 33 %. Also, in terms of the behaviour of the motion envelope, this method showed the closest approximation of the two methods. It is found that the way in which both methods influence the RAO of the roll motion has a great influence on the results found. More suitable methods that should provide a better approximation are suggested from this, such as a frequency dependent scaling of the roll damping. This is however… Advisors/Committee Members: Huijsmans, Rene (mentor), Naaijen, Peter (mentor), van Loon, P. (mentor), Vrijdag, Arthur (mentor), Miedema, Sape (mentor), Delft University of Technology (degree granting institution).

Subjects/Keywords: Deterministic wave prediction; Waveradar; Time domain calculations; Frequency domain calculations; Workability; Decision making; Roll damping; Motion prediction

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APA (6^th Edition):

van Kan, W. (. (2017). Deterministic Wave Prediction as Support for Launch & Recovery Operations: A study into applications of the waveradar in the Feadship Comfort System. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:8c98525b-88de-4779-a453-f70e7fe6481c

Chicago Manual of Style (16^th Edition):

van Kan, Wesley (author). “Deterministic Wave Prediction as Support for Launch & Recovery Operations: A study into applications of the waveradar in the Feadship Comfort System.” 2017. Masters Thesis, Delft University of Technology. Accessed January 20, 2021. http://resolver.tudelft.nl/uuid:8c98525b-88de-4779-a453-f70e7fe6481c.

MLA Handbook (7^th Edition):

van Kan, Wesley (author). “Deterministic Wave Prediction as Support for Launch & Recovery Operations: A study into applications of the waveradar in the Feadship Comfort System.” 2017. Web. 20 Jan 2021.

Vancouver:

van Kan W(. Deterministic Wave Prediction as Support for Launch & Recovery Operations: A study into applications of the waveradar in the Feadship Comfort System. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 20]. Available from: http://resolver.tudelft.nl/uuid:8c98525b-88de-4779-a453-f70e7fe6481c.

Council of Science Editors:

van Kan W(. Deterministic Wave Prediction as Support for Launch & Recovery Operations: A study into applications of the waveradar in the Feadship Comfort System. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:8c98525b-88de-4779-a453-f70e7fe6481c

20. Howard, Bradley A. Digital human posture and motion prediction considering cognitive decision making.

Degree: PhD, Mechanical Engineering, 2018, Texas Tech University

URL: http://hdl.handle.net/2346/74379

► Every day, humans are presented with tasks that they complete with little effort of even consideration of the planning that goes into the movement. Movements… (more)

▼ Every day, humans are presented with tasks that they complete with little effort of even consideration of the planning that goes into the movement. Movements such as reaching around an obstacle or manual manipulation tasks are completed with ease, even though the complexities and years of learned behavior are largely hidden from the person. Digital Human Modeling (DHM) and specifically optimization-based posture and motion prediction methodologies have employed numerical methods in order to simulate/predict/analyze human movements. However, these movements are heavily constrained such that the panning of the motion/posture is explicitly provided in the formulation of the problem. This implies that for each posture or movement under analysis, a unique formulation that relies heavily on the experience of the researcher to provide these constraints is required. However, there has been much study within the realm of cognitive psychology focused on the reasoning or motivation behind the cognitive planning of movements. This presents an opportunity for DHM to adopt these methodologies in order to provide a more general or versatile posture and motion prediction framework. This work presents the addition of cognitive principles into the optimization-based posture and motion prediction formulations. It considers two specific scenarios. First, the simulation/prediction of manual manipulation tasks are considered such that a single formulation can accomplish multiple tasks. It adopts a theory from cognitive psychology referred to as the end-state comfort effect in order to derive general constraints for the prediction of the initial and final posture states that frame the movement related to the manual manipulation task. It considers multiple tasks from the literature that have been heavily studied through experimentation in order to evaluate the efficacy of the formulation. The results show strong correlation with observations reported in the literature. Second, the formulation of a collision avoidance algorithm considering perceived risk is offered. Humans tend to overestimate the risk associated with colliding with objects during movement, and therefore adopt suboptimal movements with respect to biomechanical cost. An experiment in order to evaluate human performance when avoiding obstacles in movement is designed. Using Bayesian inference, perceived risk, which is studied heavily in motor planning research, is modeled and minimized for use as a constraint in the larger human motion prediction problem. The performance using the new formulation is compared to the observed performance from the experiment. The results show that the new formulation can account for the suboptimal behavior observed in real subjects while still optimizing biomechanical cost. Advisors/Committee Members: Barhorst, Alan (committee member), Ekwaro-Osire, Stephen (committee member), Delucia, Patricia (committee member), Ren, Beibei (committee member), Yang, James (Committee Chair).

Subjects/Keywords: Digital Human Modeling; Posture Prediction; Motion Prediction

…as a constraint in the larger human motion prediction problem. The performance using the… …motion prediction has been heavily studied in the past 15 years. However, most of this research… …A Howard, August, 2018 Optimization-based posture and motion prediction have difficulty… …motion prediction, the cognitive planning of manual manipulation tasks, and collision avoidance… …by the researcher. 1.3.2 Optimization-based Motion Prediction In observing human movement…

10 more images…

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APA (6^th Edition):

Howard, B. A. (2018). Digital human posture and motion prediction considering cognitive decision making. (Doctoral Dissertation). Texas Tech University. Retrieved from http://hdl.handle.net/2346/74379

Chicago Manual of Style (16^th Edition):

Howard, Bradley A. “Digital human posture and motion prediction considering cognitive decision making.” 2018. Doctoral Dissertation, Texas Tech University. Accessed January 20, 2021. http://hdl.handle.net/2346/74379.

MLA Handbook (7^th Edition):

Howard, Bradley A. “Digital human posture and motion prediction considering cognitive decision making.” 2018. Web. 20 Jan 2021.

Vancouver:

Howard BA. Digital human posture and motion prediction considering cognitive decision making. [Internet] [Doctoral dissertation]. Texas Tech University; 2018. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/2346/74379.

Council of Science Editors:

Howard BA. Digital human posture and motion prediction considering cognitive decision making. [Doctoral Dissertation]. Texas Tech University; 2018. Available from: http://hdl.handle.net/2346/74379

University of Western Ontario

21. Kaski, Krista M. A Comparison of Ground Motion Characteristics from Induced Seismic Events in Alberta with those in Oklahoma.

Degree: 2017, University of Western Ontario

URL: https://ir.lib.uwo.ca/etd/5063

► Ground motions from potentially-induced seismic events in Alberta of magnitude (M) > 3, recorded within 100 km, are empirically characterized in terms of their response… (more)

Subjects/Keywords: induced seismicity; ground motion characteristics; ground motion prediction equations; seismic hazard; Alberta; Oklahoma; Geophysics and Seismology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Kaski, K. M. (2017). A Comparison of Ground Motion Characteristics from Induced Seismic Events in Alberta with those in Oklahoma. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/5063

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Kaski, Krista M. “A Comparison of Ground Motion Characteristics from Induced Seismic Events in Alberta with those in Oklahoma.” 2017. Thesis, University of Western Ontario. Accessed January 20, 2021. https://ir.lib.uwo.ca/etd/5063.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Kaski, Krista M. “A Comparison of Ground Motion Characteristics from Induced Seismic Events in Alberta with those in Oklahoma.” 2017. Web. 20 Jan 2021.

Vancouver:

Kaski KM. A Comparison of Ground Motion Characteristics from Induced Seismic Events in Alberta with those in Oklahoma. [Internet] [Thesis]. University of Western Ontario; 2017. [cited 2021 Jan 20]. Available from: https://ir.lib.uwo.ca/etd/5063.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kaski KM. A Comparison of Ground Motion Characteristics from Induced Seismic Events in Alberta with those in Oklahoma. [Thesis]. University of Western Ontario; 2017. Available from: https://ir.lib.uwo.ca/etd/5063

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Virginia Tech

22. Dawood, Haitham Mohamed Mahmoud Mousad. Partitioning Uncertainty for Non-Ergodic Probabilistic Seismic Hazard Analyses.

Degree: PhD, Civil Engineering, 2014, Virginia Tech

URL: http://hdl.handle.net/10919/70757

► Properly accounting for the uncertainties in predicting ground motion parameters is critical for Probabilistic Seismic Hazard Analyses (PSHA). This is particularly important for critical facilities… (more)

▼ Properly accounting for the uncertainties in predicting ground motion parameters is critical for Probabilistic Seismic Hazard Analyses (PSHA). This is particularly important for critical facilities that are designed for long return period motions. Non-ergodic PSHA is a framework that allows for this proper accounting of uncertainties. This, in turn, allows for more informed decisions by designers, owners and regulating agencies. The ergodic assumption implies that the standard deviation applicable to a specific source-path-site combination is equal to the standard deviation estimated using a database with multiple source-path-site combinations. The removal of the ergodic assumption requires dense instrumental networks operating in seismically active zones so that a sufficient number of recordings are made. Only recently, with the advent of networks such as the Japanese KiK-net network has this become possible. This study contributes to the state of the art in earthquake engineering and engineering seismology in general and in non-ergodic seismic hazard analysis in particular. The study is divided in for parts. First, an automated protocol was developed and implemented to process a large database of strong ground motions for GMPE development. A comparison was conducted between the common records in the database processed within this study and other studies. The comparison showed the viability of using the automated algorithm to process strong ground motions. On the other hand, the automated algorithm resulted in narrower usable frequency bandwidths because of the strict criteria adopted for processing the data. Second, an approach to include path-specific attenuation rates in GMPEs was proposed. This approach was applied to a subset of the KiK-net database. The attenuation rates across regions that contains volcanoes was found to be higher than other regions which is in line with the observations of other researchers. Moreover, accounting for the path-specific attenuation rates reduced the aleatoric variability associated with predicting pseudo-spectral accelerations. Third, two GMPEs were developed for active crustal earthquakes in Japan. The two GMPEs followed the ergodic and site-specific formulations, respectively. Finally, a comprehensive residual analysis was conducted to find potential biases in the residuals and propose models to predict some components of variability as a function of some input parameters. Advisors/Committee Members: Rodriguez-Marek, Adrian (committeechair), Chapman, Martin C. (committee member), Martin, James R. (committee member), Green, Russell A. (committee member).

Subjects/Keywords: Non-Ergodic; Probabilistic Seismic Hazard Analysis; Ground Motion Prediction Equation; Ground Motion Processing; KiK-net Network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Dawood, H. M. M. M. (2014). Partitioning Uncertainty for Non-Ergodic Probabilistic Seismic Hazard Analyses. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/70757

Chicago Manual of Style (16^th Edition):

Dawood, Haitham Mohamed Mahmoud Mousad. “Partitioning Uncertainty for Non-Ergodic Probabilistic Seismic Hazard Analyses.” 2014. Doctoral Dissertation, Virginia Tech. Accessed January 20, 2021. http://hdl.handle.net/10919/70757.

MLA Handbook (7^th Edition):

Dawood, Haitham Mohamed Mahmoud Mousad. “Partitioning Uncertainty for Non-Ergodic Probabilistic Seismic Hazard Analyses.” 2014. Web. 20 Jan 2021.

Vancouver:

Dawood HMMM. Partitioning Uncertainty for Non-Ergodic Probabilistic Seismic Hazard Analyses. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/10919/70757.

Council of Science Editors:

Dawood HMMM. Partitioning Uncertainty for Non-Ergodic Probabilistic Seismic Hazard Analyses. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/70757

University of Michigan

23. Mehta, Dhanvin. Multi-Policy Decision Making for Reliable Navigation in Dynamic Uncertain Environments.

Degree: PhD, Computer Science & Engineering, 2019, University of Michigan

URL: http://hdl.handle.net/2027.42/150017

► Navigating everyday social environments, in the presence of pedestrians and other dynamic obstacles remains one of the key challenges preventing mobile robots from leaving carefully… (more)

▼ Navigating everyday social environments, in the presence of pedestrians and other dynamic obstacles remains one of the key challenges preventing mobile robots from leaving carefully designed spaces and entering our daily lives. The complex and tightly-coupled interactions between these agents make the environment dynamic and unpredictable, posing a formidable problem for robot motion planning. Trajectory planning methods, supported by models of typical human behavior and personal space, often produce reasonable behavior. However, they do not account for the future closed-loop interactions of other agents with the trajectory being constructed. As a consequence, the trajectories are unable to anticipate cooperative interactions (such as a human yielding), or adverse interactions (such as the robot blocking the way). Ideally, the robot must account for coupled agent-agent interactions while reasoning about possible future outcomes, and then take actions to advance towards its navigational goal without inconveniencing nearby pedestrians. Multi-Policy Decision Making (MPDM) is a novel framework for autonomous navigation in dynamic, uncertain environments where the robot's trajectory is not explicitly planned, but instead, the robot dynamically switches between a set of candidate closed-loop policies, allowing it to adapt to different situations encountered in such environments. The candidate policies are evaluated based on short-term (five-second) forward simulations of samples drawn from the estimated distribution of the agents' current states. These forward simulations and thereby the cost function, capture agent-agent interactions as well as agent-robot interactions which depend on the ego-policy being evaluated. In this thesis, we propose MPDM as a new method for navigation amongst pedestrians by dynamically switching from amongst a library of closed-loop policies. Due to real-time constraints, the robot's emergent behavior is directly affected by the quality of policy evaluation. Approximating how good a policy is based on only a few forward roll-outs is difficult, especially with the large space of possible pedestrian configurations and the sensitivity of the forward simulation to the sampled configurations. Traditional methods based on Monte-Carlo sampling often missed likely, high-cost outcomes, resulting in an over-optimistic evaluation of a policy and unreliable emergent behavior. By re-formulating policy evaluation as an optimization problem and enabling the quick discovery of potentially dangerous outcomes, we make MPDM more reliable and risk-aware. Even with the increased reliability, a major limitation is that MPDM requires the system designer to provide a set of carefully hand-crafted policies as it can evaluate only a few policies reliably in real-time. We radically enhance the expressivity of MPDM by allowing policies to have continuous-valued parameters, while simultaneously satisfying real-time constraints by quickly discovering promising policy parameters through a novel iterative gradient-based… Advisors/Committee Members: Olson, Edwin (committee member), Berenson, Dmitry (committee member), Jenkins, Odest Chadwicke (committee member), Kuipers, Benjamin (committee member), Stone, Peter H. (committee member).

Subjects/Keywords: autonomous navigation; motion planning; planning, prediction and control; mobile robotics; social navigation; Computer Science; Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Mehta, D. (2019). Multi-Policy Decision Making for Reliable Navigation in Dynamic Uncertain Environments. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/150017

Chicago Manual of Style (16^th Edition):

Mehta, Dhanvin. “Multi-Policy Decision Making for Reliable Navigation in Dynamic Uncertain Environments.” 2019. Doctoral Dissertation, University of Michigan. Accessed January 20, 2021. http://hdl.handle.net/2027.42/150017.

MLA Handbook (7^th Edition):

Mehta, Dhanvin. “Multi-Policy Decision Making for Reliable Navigation in Dynamic Uncertain Environments.” 2019. Web. 20 Jan 2021.

Vancouver:

Mehta D. Multi-Policy Decision Making for Reliable Navigation in Dynamic Uncertain Environments. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/2027.42/150017.

Council of Science Editors:

Mehta D. Multi-Policy Decision Making for Reliable Navigation in Dynamic Uncertain Environments. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/150017

University of Bradford

24. Alawar, Hamad Mansoor Mohd Aqil. An investigation into the relationship between static and dynamic gait features : a biometrics perspective.

Degree: PhD, 2014, University of Bradford

URL: http://hdl.handle.net/10454/13840

► Biometrics is a unique physical or behavioral characteristic of a person. This unique attribute, such as fingerprints or gait, can be used for identification or… (more)

▼ Biometrics is a unique physical or behavioral characteristic of a person. This unique attribute, such as fingerprints or gait, can be used for identification or verification purposes. Gait is an emerging biometrics with great potential. Gait recognition is based on recognizing a person by the manner in which they walk. Its potential lays in that it can be captured at a distance and does not require the cooperation of the subject. This advantage makes it a very attractive tool for forensic cases and applications, where it can assist in identifying a suspect when other evidence such as DNA, fingerprints, or a face were not attainable. Gait can be used for recognition in a direct manner when the two samples are shot from similar camera resolution, position, and conditions. Yet in some cases, the only sample available is of an incomplete gait cycle, low resolution, low frame rate, a partially visible subject, or a single static image. Most of these conditions have one thing in common: static measurements. A gait signature is usually formed from a number of dynamic and static features. Static features are physical measurements of height, length, or build; while dynamic features are representations of joint rotations or trajectories. The aim of this thesis is to study the potential of predicting dynamic features from static features. In this thesis, we have created a database that utilizes a 3D laser scanner for capturing accurate shape and volumes of a person, and a motion capture system to accurately record motion data. The first analysis focused on analyzing the correlation between twenty-one 2D static features and eight dynamic features. Eleven pairs of features were regarded as significant with the criterion of a P-value less than 0.05. Other features also showed a strong correlation that indicated the potential of their predictive power. The second analysis focused on 3D static and dynamic features. Through the correlation analysis, 1196 pairs of features were found to be significantly correlated. Based on these results, a linear regression analysis was used to predict a dynamic gait signature. The predictors chosen were based on two adaptive methods that were developed in this thesis: "the top-x" method and the "mixed method". The predictions were assessed for both for their accuracy and their classification potential that would be used for gait recognition. The top results produced a 59.21% mean matching percentile. This result will act as baseline for future research in predicting a dynamic gait signature from static features. The results of this thesis bare potential for applications in biomechanics, biometrics, forensics, and 3D animation.

Subjects/Keywords: 612.7; Gait recognition; Biometrics; Motion capture; 3d laser scan; Static; Dynamic; Database; Forensics; Prediction; Walk

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Alawar, H. M. M. A. (2014). An investigation into the relationship between static and dynamic gait features : a biometrics perspective. (Doctoral Dissertation). University of Bradford. Retrieved from http://hdl.handle.net/10454/13840

Chicago Manual of Style (16^th Edition):

Alawar, Hamad Mansoor Mohd Aqil. “An investigation into the relationship between static and dynamic gait features : a biometrics perspective.” 2014. Doctoral Dissertation, University of Bradford. Accessed January 20, 2021. http://hdl.handle.net/10454/13840.

MLA Handbook (7^th Edition):

Alawar, Hamad Mansoor Mohd Aqil. “An investigation into the relationship between static and dynamic gait features : a biometrics perspective.” 2014. Web. 20 Jan 2021.

Vancouver:

Alawar HMMA. An investigation into the relationship between static and dynamic gait features : a biometrics perspective. [Internet] [Doctoral dissertation]. University of Bradford; 2014. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/10454/13840.

Council of Science Editors:

Alawar HMMA. An investigation into the relationship between static and dynamic gait features : a biometrics perspective. [Doctoral Dissertation]. University of Bradford; 2014. Available from: http://hdl.handle.net/10454/13840

Iowa State University

25. Zimmermann, Michael Thomas. Mechanistic insights on important biomolecules derived using simple dynamics models from extending the reach of elastic network modeling.

Degree: 2011, Iowa State University

URL: https://lib.dr.iastate.edu/etd/12546

► The dynamics of biomolecules are important for carrying out their biologic functions, but these remain difficult to probe in detail experimentally, so that their accurate… (more)

▼ The dynamics of biomolecules are important for carrying out their biologic functions, but these remain difficult to probe in detail experimentally, so that their accurate computational evaluation is an important field of ongoing study. Critical questions remain open such as what are the importance of individual interactions within a structure, the composition of denatured states and equilibrium native ensembles, as well as the role and conservation of flexibility in functional dynamics. The tools of Molecular Dynamics, Monte Carlo simulation, and Normal Mode Analysis coupled with knowledge-based approaches represent the mainstay of computational approaches used in this field. The primary focus of this dissertation is to explore the functional dynamics of important biomolecules while extending the utility of Normal Mode Analysis using Elastic Network Models through the application of novel analysis methods. Many of these techniques have been made available to the scientific community through the software tool MAVEN which integrates and automates many of the steps in model building and analysis. By utilizing these tools, we have discerned structural dynamics characteristics and mechanistic behaviors of antibodies, ribosomes, telomerase, and efflux systems. Modes from multiple Anisotropic Network Models capture collective as well as local motions which accurately describe a large set of experimental tRNA structures. Mechanistic understanding of biomolecular motion can aid in the understanding of physiology, disease states, and our ability to engineer new structures with novel functions. The ability to distinguish native-like structures from a set of computational predictions is important not only in structure prediction, but also in molecular docking and for predicting conformational changes. We propose a new algorithm for evaluating the entropy of motion of biomolecules, showing that it leads to enhanced discrimination between native-like and non-native-like models in both structure predictions and protein-protein docking. Our findings indicate that the shape of a protein or complex contains sufficient information to distinguish it from poorer quality predictions. Graph theoretical approaches have also been employed to investigate the connectedness of the protein structure universe, showing that the modularity of protein domain architecture is of fundamental importance for future improvements in structure matching. All of the studies herein impact our understanding of protein domain evolution and modification.

Subjects/Keywords: Elastic Netowrk Modeling; Molecular Function; Molecular Motion; Protein Structure; Structural Biology; Structure Prediction; Bioinformatics

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APA (6^th Edition):

Zimmermann, M. T. (2011). Mechanistic insights on important biomolecules derived using simple dynamics models from extending the reach of elastic network modeling. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/12546

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Zimmermann, Michael Thomas. “Mechanistic insights on important biomolecules derived using simple dynamics models from extending the reach of elastic network modeling.” 2011. Thesis, Iowa State University. Accessed January 20, 2021. https://lib.dr.iastate.edu/etd/12546.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Zimmermann, Michael Thomas. “Mechanistic insights on important biomolecules derived using simple dynamics models from extending the reach of elastic network modeling.” 2011. Web. 20 Jan 2021.

Vancouver:

Zimmermann MT. Mechanistic insights on important biomolecules derived using simple dynamics models from extending the reach of elastic network modeling. [Internet] [Thesis]. Iowa State University; 2011. [cited 2021 Jan 20]. Available from: https://lib.dr.iastate.edu/etd/12546.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zimmermann MT. Mechanistic insights on important biomolecules derived using simple dynamics models from extending the reach of elastic network modeling. [Thesis]. Iowa State University; 2011. Available from: https://lib.dr.iastate.edu/etd/12546

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

26. Van den Berg, R. (author). Simulating Interaction Between Tracked Real-World Objects and User-Controlled Virtual Objects.

Degree: 2010, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:d063b265-3c59-48ac-bb4e-53dab8866cc3

►

In recent years, interest in correspondence between virtual environments and realworld events has grown considerably. We investigate different methods of integrating position and orientation data… (more)

Subjects/Keywords: Virtual Environments; User Tracking; Motion Prediction

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APA (6^th Edition):

Van den Berg, R. (. (2010). Simulating Interaction Between Tracked Real-World Objects and User-Controlled Virtual Objects. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:d063b265-3c59-48ac-bb4e-53dab8866cc3

Chicago Manual of Style (16^th Edition):

Van den Berg, R (author). “Simulating Interaction Between Tracked Real-World Objects and User-Controlled Virtual Objects.” 2010. Masters Thesis, Delft University of Technology. Accessed January 20, 2021. http://resolver.tudelft.nl/uuid:d063b265-3c59-48ac-bb4e-53dab8866cc3.

MLA Handbook (7^th Edition):

Van den Berg, R (author). “Simulating Interaction Between Tracked Real-World Objects and User-Controlled Virtual Objects.” 2010. Web. 20 Jan 2021.

Vancouver:

Van den Berg R(. Simulating Interaction Between Tracked Real-World Objects and User-Controlled Virtual Objects. [Internet] [Masters thesis]. Delft University of Technology; 2010. [cited 2021 Jan 20]. Available from: http://resolver.tudelft.nl/uuid:d063b265-3c59-48ac-bb4e-53dab8866cc3.

Council of Science Editors:

Van den Berg R(. Simulating Interaction Between Tracked Real-World Objects and User-Controlled Virtual Objects. [Masters Thesis]. Delft University of Technology; 2010. Available from: http://resolver.tudelft.nl/uuid:d063b265-3c59-48ac-bb4e-53dab8866cc3

University of Western Ontario

27. Eshaghi, Attieh. Magnitude Estimation for Earthquake and Tsunami Early Warning Systems.

Degree: 2014, University of Western Ontario

URL: https://ir.lib.uwo.ca/etd/2451

► In this study, different magnitude estimation methods were investigated for application to earthquake early warning (EEW) and tsunami early warning systems. This integrated study is… (more)

▼ In this study, different magnitude estimation methods were investigated for application to earthquake early warning (EEW) and tsunami early warning systems. This integrated study is divided into two main parts. First, I used strong motion accelerograms recorded by borehole and surface stations from the Kiban Kyoshin network (KiK-net) for Japanese earthquakes with moment magnitude (M) ≥ 5.0 in order to develop ground motion prediction equations (GMPEs). I developed new GMPEs for peak ground acceleration (PGA) and peak ground velocity (PGV) using two different catalogs. The first catalog included earthquakes with 5.0 ≤ M ≤ 8.1 from 1998-2010. In order to improve the determination of attenuation parameters and magnitude scaling, the second catalog included earthquakes with 5.0 ≤ M ≤ 9.0 from 1998-2011, which increased the time period by only one year but added approximately twice as much data to the first catalog. The GMPEs were used to estimate the magnitude from PGA values (Mpga) and from PGV values (Mpgv) for those events in the borehole and surface databases with at least 20 available records. The results confirmed that Mpga and Mpgv strongly correlate with the moment magnitude of the event. In addition, I studied the site effect terms in the GMPEs using the shear wave velocity in the uppermost 30 meters (VS30). It was found that correcting for VS30 improved the accuracy of magnitude estimates from surface recordings, particularly for Mpgv. Incorporation of this parameter into the GMPEs can provide a more accurate estimate of the earthquake magnitude in EEW systems. The GMPEs also were used to estimate the magnitude of the M9.0 Tohoku event and those estimates were compared with the magnitude estimates provided by the existing EEW system in Japan. I demonstrate that, unlike the estimates provided by the existing EEW system in Japan, the magnitude estimates from GMPEs do not saturate. The results demonstrate that Mpgv from borehole recordings had the smallest standard deviation among the estimated magnitudes and produced more stable and robust magnitude estimates. Based on this observation, I propose the incorporation of borehole recordings into EEW systems. This method can improve the existing EEW system in Japan or other regions that have a dense seismic network. In the second part of this thesis, the displacement spectra of the strong ground motion recordings were used to directly estimate the magnitude of Japanese earthquakes with 4.5 ≤ M ≤ 9.0, 2000 to 2011, using the first available data provided by the KiK-net and Kyoshin network stations. The source parameters were determined using the inversion of displacement spectra for available P- and S-waves windows assuming the Brune source model. I tested the application of a fixed low-cut filter, and found that it decreases the accuracy of magnitude estimation for large events (M > 7.0). As a result, instead of a fixed low-cut filter I applied a frequency bandwidth cutoff based on a signal-to-noise ratio criterion. The results showed that magnitude estimation using…

Subjects/Keywords: Japan; Magnitude estimation; Earthquake early warning; Ground motion prediction equation; Moment magnitude; Geophysics and Seismology

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APA (6^th Edition):

Eshaghi, A. (2014). Magnitude Estimation for Earthquake and Tsunami Early Warning Systems. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/2451

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Eshaghi, Attieh. “Magnitude Estimation for Earthquake and Tsunami Early Warning Systems.” 2014. Thesis, University of Western Ontario. Accessed January 20, 2021. https://ir.lib.uwo.ca/etd/2451.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Eshaghi, Attieh. “Magnitude Estimation for Earthquake and Tsunami Early Warning Systems.” 2014. Web. 20 Jan 2021.

Vancouver:

Eshaghi A. Magnitude Estimation for Earthquake and Tsunami Early Warning Systems. [Internet] [Thesis]. University of Western Ontario; 2014. [cited 2021 Jan 20]. Available from: https://ir.lib.uwo.ca/etd/2451.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Eshaghi A. Magnitude Estimation for Earthquake and Tsunami Early Warning Systems. [Thesis]. University of Western Ontario; 2014. Available from: https://ir.lib.uwo.ca/etd/2451

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Southern California

28. Wang, Feng. Integration and validation of deterministic earthquake simulations in probabilistic seismic hazard analysis.

Degree: PhD, Geological Sciences, 2013, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/330428/rec/3546

► Seismic hazard models based on empirical ground motion prediction equations (GMPEs) employ a model-based factorization to account for source, propagation, and path effects. An alternative… (more)

▼ Seismic hazard models based on empirical ground motion prediction equations (GMPEs) employ a model-based factorization to account for source, propagation, and path effects. An alternative is to physically simulate these effects using earthquake source models combined with three-dimensional (3D) models of Earth structure. We generalized the implementation of those hazard models in probabilistic seismic hazard analysis from the seismological perspectives, and developed an averaging-based factorization (ABF) scheme to facilitate the geographically explicit comparison of these two types of seismic hazard models. Through a sequence of averaging and normalization operations over various model components, such as slip distribution, magnitudes, hypocenter locations, we uniquely factorize model residuals into several factors. These residual factors characterize differences in basin effects, distance attenuation, and effects of source directivity and slip variability. We illustrate the ABF scheme by comparing CyberShake model for the Los Angeles region with the Next Generation Attenuation (NGA) GMPEs. Relative to CyberShake, all NGA models underestimate the basin effects. Using the GMEPs with directivity corrections, we quantify the extent to which the empirical directivity model capture the source directivity effects demonstrated by physics-based ground motion prediction model. In particular, empirical directivity corrections for NGA models underestimate source directivity effects in CyberShake, and do not account for the coupling between source directivity and basin excitation that substantially enhance the low-frequency seismic hazards in the sedimentary basins of the Los Angeles region. We then investigate seismologically to what extent the complex rupture processes and conditional hypocenter distributions affect the ground motion predictions and seismic hazard assessment. At last, considering two 3D velocity models for Southern California used in simulations, we use different CyberShake studies to physically understand the basin excitations and directivity-basin coupling effects. To our knowledge, this is the first systematical and quantitative integration and validation of deterministic earthquake simulations in probabilistic seismic hazard analysis. Advisors/Committee Members: Jordan, Thomas H. (Committee Chair), Ben-Zion, Yehuda (Committee Member), Miller, Meghan S. (Committee Member), Abrahamson, Norm (Committee Member), Wilson, John P. (Committee Member).

Subjects/Keywords: seismology; numerical simulations; probabilistic seismic hazard analysis; earthquake rupture forecast; ground motion prediction equations

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Wang, F. (2013). Integration and validation of deterministic earthquake simulations in probabilistic seismic hazard analysis. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/330428/rec/3546

Chicago Manual of Style (16^th Edition):

Wang, Feng. “Integration and validation of deterministic earthquake simulations in probabilistic seismic hazard analysis.” 2013. Doctoral Dissertation, University of Southern California. Accessed January 20, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/330428/rec/3546.

MLA Handbook (7^th Edition):

Wang, Feng. “Integration and validation of deterministic earthquake simulations in probabilistic seismic hazard analysis.” 2013. Web. 20 Jan 2021.

Vancouver:

Wang F. Integration and validation of deterministic earthquake simulations in probabilistic seismic hazard analysis. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2021 Jan 20]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/330428/rec/3546.

Council of Science Editors:

Wang F. Integration and validation of deterministic earthquake simulations in probabilistic seismic hazard analysis. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/330428/rec/3546

Virginia Tech

29. Rai, Manisha. Topographic Effects in Strong Ground Motion.

Degree: PhD, Civil Engineering, 2015, Virginia Tech

URL: http://hdl.handle.net/10919/56593

► 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… (more)

▼ 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 causing significant damages to the structures located on the feature. Topographically correlated damage pattern have been observed in several earthquakes and topographic amplifications have also been observed in several recorded ground motions. This phenomenon has also been extensively studied through numerical analyses. Even though different studies agree on the nature of topographic effects, quantifying these effects have been challenging. The current literature has no consensus on how to predict topographic effects at a site. With population centers growing around regions of high seismicity and prominent topographic relief, such as California, and Japan, the quantitative estimation of the effects have become very important. In this dissertation, we address this shortcoming by developing empirical models that predict topographic effects at a site. These models are developed through an extensive empirical study of recorded ground motions from two large strong-motion datasets namely the California small to medium magnitude earthquake dataset and the global NGA-West2 datasets, and propose topographic modification factors that quantify expected amplification or deamplification at a site. To develop these models, we required a parameterization of topography. We developed two types of topographic parameters at each recording stations. The first type of parameter is developed using the elevation data around the stations, and comprise of parameters such as smoothed slope, smoothed curvature, and relative elevation. The second type of parameter is developed using a series of simplistic 2D numerical analysis. These numerical analyses compute an estimate of expected 2D topographic amplification of a simple wave at a site in several different directions. These 2D amplifications are used to develop a family of parameters at each site. We study the trends in the ground motion model residuals with respect to these topographic parameters to determine if the parameters can capture topographic effects in the recorded data. We use statistical tests to determine if the trends are significant, and perform mixed effects regression on the residuals to develop functional forms that can be used to predict topographic effect at a site. Finally, we compare the two types of parameters, and their topographic predictive power. Advisors/Committee Members: Rodriguez-Marek, Adrian (committeechair), Green, Russell A. (committee member), Wartman, Joseph Dr. (committee member), Chapman, Martin C. (committee member).

Subjects/Keywords: Topographic effects; Terrain classification; Seismic hazard; Ground motion prediction equation; NGA-West2 dataset

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Rai, M. (2015). Topographic Effects in Strong Ground Motion. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/56593

Chicago Manual of Style (16^th Edition):

Rai, Manisha. “Topographic Effects in Strong Ground Motion.” 2015. Doctoral Dissertation, Virginia Tech. Accessed January 20, 2021. http://hdl.handle.net/10919/56593.

MLA Handbook (7^th Edition):

Rai, Manisha. “Topographic Effects in Strong Ground Motion.” 2015. Web. 20 Jan 2021.

Vancouver:

Rai M. Topographic Effects in Strong Ground Motion. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/10919/56593.

Council of Science Editors:

Rai M. Topographic Effects in Strong Ground Motion. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/56593

30. Guo, Zhen. Global Structure of the Mantle Transition Zone Discontinuities and Site Response Effects in the Atlantic and Gulf Coastal Plain.

Degree: PhD, Geosciences, 2019, Virginia Tech

URL: http://hdl.handle.net/10919/93346

► The mantle transition zone is the region in the Earth’s interior between depths of ∼410 km and ∼660 km. The structure of the mantle transition… (more)

▼ The mantle transition zone is the region in the Earth’s interior between depths of ∼410 km and ∼660 km. The structure of the mantle transition zone plays an important role in understanding temperature variations and mass exchanges in the interior of the Earth. This dissertation aims at resolving depth variations of the top and bottom boundaries of the mantle transition zone at a global scale using underside reflected seismic waves. The advanced method used here resolved stronger small-scale depth variations of the boundaries than a conventional method using the same dataset. The two mantle transition zone boundaries both occur at depths greater than the global average beneath eastern Asia and western North America where cold oceanic lithosphere subducted under the continents. This positively correlated behaviors of the two boundaries agree with a scenario where cold subducted slabs have been horizontally deflected and stagnant above the bottom boundary of the mantle transition zone while hot materials beneath the mantle transition zone flow upwards due to the stagnant slabs penetrating the bottom boundary of the mantle transition zone. This dissertation also provides an examination of the differences between response of earthquake ground shaking in the Atlantic and Gulf Coastal Plain and that outside the Coastal Plain using seismic-wave spectral ratios. Ground shaking in the Coastal Plain is found to be amplified at low frequencies and de-amplified at high frequencies relative to that outside the Coastal Plain due to the extensive marine sediments in the Coastal Plain region. The amplification and attenuation factors can be estimated from spectral ratios and are found to be strongly correlated with the sediment thickness in the Coastal Plain. The spectral ratio functions derived in this dissertation may be adopted by studies on analyzing the seismic hazard in the Central and Eastern United States. Advisors/Committee Members: Zhou, Ying (committeechair), Chung, Julianne (committee member), Chapman, Martin C. (committee member), Hole, John Andrew (committee member).

Subjects/Keywords: mantle transition zone; body waves; mantle return flow; site response; ground motion prediction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Guo, Z. (2019). Global Structure of the Mantle Transition Zone Discontinuities and Site Response Effects in the Atlantic and Gulf Coastal Plain. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/93346

Chicago Manual of Style (16^th Edition):

Guo, Zhen. “Global Structure of the Mantle Transition Zone Discontinuities and Site Response Effects in the Atlantic and Gulf Coastal Plain.” 2019. Doctoral Dissertation, Virginia Tech. Accessed January 20, 2021. http://hdl.handle.net/10919/93346.

MLA Handbook (7^th Edition):

Guo, Zhen. “Global Structure of the Mantle Transition Zone Discontinuities and Site Response Effects in the Atlantic and Gulf Coastal Plain.” 2019. Web. 20 Jan 2021.

Vancouver:

Guo Z. Global Structure of the Mantle Transition Zone Discontinuities and Site Response Effects in the Atlantic and Gulf Coastal Plain. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/10919/93346.

Council of Science Editors:

Guo Z. Global Structure of the Mantle Transition Zone Discontinuities and Site Response Effects in the Atlantic and Gulf Coastal Plain. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/93346

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Open Access Theses and Dissertations