Experimental and numerical analysis of interaction between subsoil and post-ensioned slab-on-ground

The paper presents the process of a static load test on post-tensioned concrete industrial floor model in the first part and a numerical model of this task in the second part. The experimental model was designed as a cutout of a post-tensioned concrete industrial floor and the static load test was conceived as a simulation by loading the base plate of a heavy rack. The described static load test was part of a series of experiments focused on the problematics of interaction between concrete structures and subsoil and was realized at the Faculty of Civil Engineering, VSB - Technical University of Ostrava.Web of Science785-4272

Synchronization of Compass Module with Pressure and Temperature Sensor System for Autonomous Underwater Vehicle (AUV)

This paper describes the synchronization of compass module with pressure and temperature sensor system for an Autonomous Underwater Vehicle (AUV). In general this project is the result of a combination of existing technology for underwater sensory to produce a complete system that aims to identify the position of the AUVs based on AUV degree of freedom. This can be done with the help of compass module that can find and order the AUV is moving at a fixed angle. This created a system that aims to obtain data on pressure and temperature in the AUV. Not only that, the project also aims to prove that the relationship between pressure and depth of the water and the relationship between pressure and temperature. All data gathered is capable of helping in the preparation of an AUV that can accommodate high pressure according to the depth to destination

Tawaf crowd simulation using social force model

This paper presents a crowd simulation system which simulates the movement of pilgrims in performing one of Hajj rituals, which is Tawaf. Tawaf is a unique case study due to its capacity and various set of pilgrims. Furthermore, the density of the crowd is extremely high. Tawaf also consist a certain set of rules and regulations that must be followed by the pilgrims. Social Force Model had been chosen to give each agent in the simulation a specific behavior to be followed. The algorithm also specifies how the agents interact with each other to generate collision free movements. To make the simulations as close as possible to real world scenarios, each agent varies in term of age, gender and behavior. The subjective evaluation of the system revealed that it can be used in pilgrim training before performing the actual Tawaf

Synchronization of compass module with pressure and temperature sensor system for autonomous underwater vehicle (AUV)

This paper describes the synchronization of compass module with pressure and temperature sensor system for an Autonomous Underwater Vehicle (AUV). In general this project is the result of a combination of existing technology for underwater sensory to produce a complete system that aims to identify the position of the AUVs based on AUV degree of freedom. This can be done with the help of compass module that can find and order the AUV is moving at a fixed angle. This created a system that aims to obtain data on pressure and temperature in the AUV. Not only that, the project also aims to prove that the relationship between pressure and depth of the water and the relationship between pressure and temperature. All data gathered is capable of helping in the preparation of an AUV that can accommodate high pressure according to the depth to destination

Increasing Accessibility for Map Readers with Acquired and Inherited Color Vision Deficiencies: A Re-Coloring Algorithm for Maps

Approximately 8% of the male population suffer from an inherited form of color vision deficiency (CVD). Age, diabetes, macular degeneration, cataracts and glaucoma result in eye defects including an acquired form of CVD. Inherited CVD is marked by a difficulty in discerning red from green, while acquired CVD is marked by a difficulty in discerning blue from green. A recent review of the cartographic literature revealed a deficit in studies on accessible maps for readers with the acquired form of CVD. In addition, research on accessible maps for readers with the inherited form of CVD was restricted to the design or pre-publication stage. An approach is needed to render maps already in circulation accessible to an audience with CVD. The purpose of this research is to improve the accessibility of maps post-publication. Image re-coloring is a method of altering an image\u27s color composition in such a way as to make it accessible to a color vision deficient audience. An innovative algorithm is presented that produces a re-colored map that can be perceived by individuals with red-green (inherited) CVD, blue-green CVD (acquired) and normal color vision alike. The algorithm was tested on a control group of participants with normal color vision and a case group of participants with impaired color vision through a series of matching, content and personal preference questions about six pairs of maps. Each map pair represented one of the following color schemes: balance, diverging, qualitative area, qualitative dot, sequential polychrome, and two variable. Each map pair is composed of two renditions: a map using a color palette that is potentially confusing to viewers with impaired color vision (original rendition) and a map where the original color palette has been re-colored by the algorithm (re-colored rendition). According to the results of a Wilcoxon signed-rank test, the performance of the case group improved when using the re-colored renditions compared to when using the original renditions while the performance of the control group was the same for both renditions. A Mann-Whitney rank sum test revealed that while the scores of the case group were lower than the control group when using the original renditions, they were the same when using the re-colored renditions. A binomial test revealed that subjects in the case group displayed a preference towards all the re-colored renditions while subjects in the control group displayed a preference to two of the six original renditions

Individualized Models of Colour Differentiation through Situation-Specific Modelling

In digital environments, colour is used for many purposes: for example, to encode information in charts, signify missing field information on websites, and identify active windows and menus. However, many people have inherited, acquired, or situationally-induced Colour Vision Deficiency (CVD), and therefore have difficulties differentiating many colours. Recolouring tools have been developed that modify interface colours to make them more differentiable for people with CVD, but these tools rely on models of colour differentiation that do not represent the majority of people with CVD. As a result, existing recolouring tools do not help most people with CVD. To solve this problem, I developed Situation-Specific Modelling (SSM), and applied it to colour differentiation to develop the Individualized model of Colour Differentiation (ICD). SSM utilizes an in-situ calibration procedure to measure a particular user’s abilities within a particular situation, and a modelling component to extend the calibration measurements into a full representation of the user’s abilities. ICD applies in-situ calibration to measuring a user’s unique colour differentiation abilities, and contains a modelling component that is capable of representing the colour differentiation abilities of almost any individual with CVD. This dissertation presents four versions of the ICD and one application of the ICD to recolouring. First, I describe the development and evaluation of a feasibility implementation of the ICD that tests the viability of the SSM approach. Second, I present revised calibration and modelling components of the ICD that reduce the calibration time from 32 minutes to two minutes. Next, I describe the third and fourth ICD versions that improve the applicability of the ICD to recolouring tools by reducing the colour differentiation prediction time and increasing the power of each prediction. Finally, I present a new recolouring tool (ICDRecolour) that uses the ICD model to steer the recolouring process. In a comparative evaluation, ICDRecolour achieved 90% colour matching accuracy for participants – 20% better than existing recolouring tools – for a wide range of CVDs. By modelling the colour differentiation abilities of a particular user in a particular environment, the ICD enables the extension of recolouring tools to helping most people with CVD, thereby reducing the difficulties that people with CVD experience when using colour in digital environments