The goal of this thesis is to understand how children and adults scale distance. My preliminary work has shown that young children can accurately scale distances along a single dimension (i.e., length) even when the magnitude of the scale difference is very large. In these studies, 4- and 5-year-olds and adults first saw a location marked on a narrow mat placed on the floor of one testing space. They then reproduced that location on another narrow mat that was either the same length (i.e., the memory task) or a different length (i.e., the memory + scaling task) placed on the floor of an adjacent testing space. These experiments illustrated that both children and adults had more difficulty scaling up than scaling down (i.e., had more difficulty going from a small to a large mat than from a large to a small mat). In the present thesis, I used this difference between scaling up and scaling down as a tool to examine the processes underlying the ability to scale distance more generally. I predicted that the difficulty children and adults have scaling up can be attributed to mapping relative distances onto spaces that are too large to be viewed from a single vantage point. Experiment 1 demonstrated that although a visible boundary dividing a large space influenced how children and adults remember locations, scaling up was still more difficult than scaling down. Experiments 2 and 3 examined the influence of absolute size on mapping relative distance. When the absolute size of the test space was reduced, scaling up was no longer more difficult than scaling down. In contrast, when the absolute size was large, both scaling up and scaling down were more difficult, illustrating the importance of absolute size in using relative distance to scale. These findings suggest that when the absolute size of the space is large, children and adults have more difficulty using multiple edges of the space to accurately scale distance. More generally, these experiments underscore how the cognitive system and task structure interact to give rise to the ability to use relative distance to scale.

The present study is aimed to explore dynamical behavior of the fluid- elastic vibration of cylindrical arrays and single cylinder in shear flow by numerical simulations .The effects of the shear parameter, spacing(P/D) ¡Bmass ratio and arrangement of cylinders on fluid-elastic vibration of the cylinders are investigated Continuity and momentum equations are solved alternatively by using a CFD package, Fluent 6.3.26. Dynamic meshing techniques together with the cylinder motion equations are employed in the simulation. Under different flow conditions, flow types and cylinder motion models, lock-in and vortex-induced vibration are studied. According to the research the motion and flow types of a single cylinder in uniform flow are in good agreement with the previous studies in literatures. In shear flow, however, as the shear parameter increases, the fluid vortex-induced vibration of the cylinder is induced, and thus amplitude of the cylinder increases considerably. Further, cylindrical arrays in the shear flow are studied. Cylindrical arrays arrangements (rectangle and rhombus) ¡B the distance between cylinders and regulate shear parameter are the factors to cause fluid-elastic vibration. Compared with the single cylinder motion, cylindrical arrays motion¡¦s critical flow velocity is smaller than the single cylinder motion, which means cylindrical arrays motion are more subject to fluid-elastic vibration.

Despite the rapidly growing adoption of augmented reality (AR) applications, existing methods for interacting with AR content are rated poorly, with surveyors of the area calling for better means of interaction, while researchers strive to create more natural input methods, mainly focusing on gesture input. This thesis aims to contribute to the aforementioned efforts by recognizing that technologies for consumer-grade smartphone-based pose estimation have been rapidly improving in recent years and due to their increased accuracy may have untapped potential ready to be utilized for user input. To this end, a rudimentary system for pose based input is integrated into prototype applications, which are constructed with both pose based input and touch input in mind. In this work, pose, pose estimation, and posed based input refer to using the distance and orientation of the user (or more precisely, the distance and orientation of their device) in relation to the AR content. Using said prototypes within a user interaction study allowed the identification of user preferences which indicate the approaches that future efforts into utilizing pose for input in an AR context ought to adopt. By comparing questionnaire answers and logged positional data across four prototype scenarios, it can be clearly identified that to perceive pose input as intuitive, the AR experiences shouldn’t employ a scale which is so large that it requires substantial shifts in the position of the user, as opposed to merely shifts in the position of the user’s device.

In 2011, vertical and longitudinal gradients of temperature, oxygen, pH, conductivity and chlorophyll were measured in the Římov Reservoir. Relative distance model was employed to evaluate spatial heterogeneity of parameters measured along the longitudinal axis of the reservoir. The inflow part comprised 15 % of the overall reservoir length and was characterized with temperature, pH and chlorophyll values lower than the rest of the reservoir. Highest chlorophyll and dissolved oxygen concentrations along with pH were measured in the transition zone constituting 40 % of the reservoir length. Lacustrine zone with low chlorophyll concentration accounted for 45 % of the reservoir. It was characterized with pronounced metalimnetic and hypolimnetic oxygen minima during summer as well as the marked increase in conductivity towards bottom.

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