Search results for "racking"
showing 10 items of 815 documents
Multicenter Consistency Assessment of Valvular Flow Quantification With Automated Valve Tracking in 4D Flow CMR
2021
OBJECTIVES This study determined: 1) the interobserver agreement; 2) valvular flow variation; and 3) which variables independently predicted the variation of valvular flow quantification from 4-dimensional (4D) flow cardiac magnetic resonance (CMR) with automated retrospective valve tracking at multiple sites. BACKGROUND Automated retrospective valve tracking in 4D flow CMR allows consistent assessment of valvular flow through all intracardiac valves. However, due to the variance of CMR scanners and protocols, it remains uncertain if the published consistency holds for other clinical centers. METHODS Seven sites each retrospectively or prospectively selected 20 subjects who underwent whole …
Movements of water rails from Norway-reference-data
2020
Lislevand T, Hahn S, Rislaa S, Briedis M. 2020. First records of complete annual cycles in water rails Rallus aquaticus show evidence of itinerant breeding and a complex migration system. J Avian Biol. doi:10.1111/jav.02595
Movements of water rails from Norway-tracks
2020
Lislevand T, Hahn S, Rislaa S, Briedis M. 2020. First records of complete annual cycles in water rails Rallus aquaticus show evidence of itinerant breeding and a complex migration system. J Avian Biol. doi:10.1111/jav.02595
Movements of water rails from Norway-light-levels
2020
Lislevand T, Hahn S, Rislaa S, Briedis M. 2020. First records of complete annual cycles in water rails Rallus aquaticus show evidence of itinerant breeding and a complex migration system. J Avian Biol. doi:10.1111/jav.02595
Wireless Charging Systems for Electric Vehicle Batteries
2020
To successfully learn using open Internet resources, students must be able to critically search, evaluate and select online information, and verify sources. Defined as critical online reasoning (COR), this construct is operationalized on two levels in our study: (1) the student level using the newly developed Critical Online Reasoning Assessment (CORA), and (2) the online information processing level using event log data, including gaze durations and fixations. The written responses of 32 students for one CORA task were scored by three independent raters. The resulting score was operationalized as “task performance,” whereas the gaze fixations and durations were defined as indicators of “pr…
Target tracking with dynamically adaptive correlation
2016
Abstract A reliable algorithm for target tracking based on dynamically adaptive correlation filtering is presented. The algorithm is capable of tracking with high accuracy the location of a target in an input video sequence without using an offline training process. The target is selected at the beginning of the algorithm. Afterwards, a composite correlation filter optimized for distortion tolerant pattern recognition is designed to recognize the target in the next frame. The filter is dynamically adapted to each frame using information of current and past scene observations. Results obtained with the proposed algorithm in synthetic and real-life video sequences, are analyzed and compared w…
Development of a High Granularity Photovoltaic Model That Considers Complex Nonuniform Shadow Conditions and Different Cell Temperatures
2012
In this paper is the development of a high granularity photovoltaic model that considers complex nonuniform shadow conditions and different cell temperatures. The model integrates the nonuniform shading characteristics such as different areas for each cell, different direct and indirect solar irradiations for each cell, and different temperatures. The area of the shadow on the PV module is found using image processing. The bond graph formalism facilitates the representation of the energy exchange between the different parts of the PV module. This complexity justifies the effort to develop a high-granularity tool. The proposed model is validated through experimental tests under shading condi…
How Quickly Can We Predict Users’ Ratings on Aesthetic Evaluations of Websites? Employing Machine Learning on Eye-Tracking Data
2020
This study examines how quickly we can predict users’ ratings on visual aesthetics in terms of simplicity, diversity, colorfulness, craftsmanship. To predict users’ ratings, first we capture gaze behavior while looking at high, neutral, and low visually appealing websites, followed by a survey regarding user perceptions on visual aesthetics towards the same websites. We conduct an experiment with 23 experienced users in online shopping, capture gaze behavior and through employing machine learning we examine how fast we can accurately predict their ratings. The findings show that after 25 s we can predict ratings with an error rate ranging from 9% to 11% depending on which facet of visual ae…
On Gauss and Gaussian Legends: A Quiz
2018
For the last few years, students in my history of mathematics course have been required to do a bit of research on the web. Each of them chooses from a list of specially chosen questions designed to make them ponder whether the information they find on standard internet sites is solidly grounded and clearly sourced, or whether subsequent research (pursued in such unlikely places as the local university library) might lead a person to doubt what one reads online. The idea here is not to push for a definitive answer; in many cases, this would be a hopeless undertaking anyway. Instead, I ask students merely to report on what they found and how they went about tracking down the information cite…