Search results for "Visualization"
showing 10 items of 449 documents
Cartographic Language in Thematic Maps
2015
This paper analyzes the effectiveness of maps as transmitters of information. To this end, some basic concepts concerning the properties of cartographic language are examined, with the aim of helping the reader design maps conveying geographic information as clearly as possible. It also describes the innate taste of geographers for maps –how these attract and stimulate them. Then it deals with the emergence of the Internet and the new technologies allowing massive map visualization, downloading and production. The paper is illustrated with ten thematic maps, in which visual variables (i.e. size, shape, value, color, orientation and texture) are combined with the different marks (points, lin…
A Compilation of Protocols to Visualize Enzymes Following Electrophoretic Separation
1994
The following tables supply protocols for the electrophoretic separation as well as for the succeeding visualization of enzymes. Separation systems and enzyme visualization procedures are adjusted to each other.
Chemistry of Enzyme Visualization
1994
The basic principle of enzyme visualization in situ is to present an enzyme with a solution containing an enzyme specific substrate. Demonstration of an enzyme is achieved if the catalytic action of the enzyme on this substrate produces a coloured reaction product. Often, however, the primary reaction products are colourless and require coupling with a visualizing agent to generate a coloured, preferably insoluble, final reaction product.
SART and Individual Trial Mistake Thresholds: Predictive Model for Mobility Decline
2021
The Sustained Attention to Response Task (SART) has been used to measure neurocognitive functions in older adults. However, simplified average features of this complex dataset may result in loss of primary information and fail to express associations between test performance and clinically meaningful outcomes. Here, we describe a new method to visualise individual trial (raw) information obtained from the SART test, vis-à-vis age, and groups based on mobility status in a large population-based study of ageing in Ireland. A thresholding method, based on the individual trial number of mistakes, was employed to better visualise poorer SART performances, and was statistically validated with bin…
Perceived usefulness of business intelligence system in decision making process
2017
Liiketoimintatiedon järjestelmät ovat kasvattaneet suosiotaan. Tämän tutkielman tavoitteena on selvittää edesauttavatko nämä järjestelmät päätöksentekoprosessia. Tutkielmassa esitellään päätöksenteon tukijärjestelmien synty, historia ja tällaisten järjestelmien erilaiset tavoitteet. Järjestelmien teknologiset taustat ja päätöksentekoprosessi esitellään. Tutkielman aineisto on kerätty elektronisella kyselylomakkeella eri organisaatioiden työntekijöiltä. Kyselylomake koostui seitsemästä taustakysymyksestä ja 24 väittämästä mitaten kahdeksaa eri muuttujaa. Muuttujat käsittävät yleisiä tietojärjestelmiä, liiketoimintatiedon järjestelmiä sekä päätöksentekoprosessia. Aineiston data on analysoitu …
Analysis of network rumor dissemination and control mechanisms on Chinese social network : Sina Weibo
2016
The social network has become a major source of information. The openness and swiftness of the network bring instant accessing to both true and false information. Sometimes the false information such as network rumors can mislead people from obtaining the true information and even create chaos. The social network platforms and the governments in different countries are making effort on enacting their own mechanisms to strive on eliminating the rumors. The aim of this thesis is to investigate the spreading of rumors on the Chinese social networking website Sina Weibo. The censorship policy of the Chinese government and the methods used to control the spreading of rumors are discussed. The la…
A distributed visualization system for crowd simulations1
2011
The visualization system of large-scale crowd simulations should scale up with both the number of visuals views of the virtual world and the number of agents displayed in each visual. Otherwise, we could have large scale crowd simulations where only a small percentage of the population is displayed. Several approaches have been proposed in order to efficiently render crowds of animated characters. However, these approaches either render crowds animated with simple behaviors or they can only support a few hundreds of user-driven entities. In this paper, we propose a distributed visualization system for large crowds of autonomous agents that allows the visualization of crowds animated with co…
Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination
2015
This paper studies the level of complementary information conveyed by extremely high resolution LiDAR and optical images. We pursue this goal following an indirect approach via unsupervised spatial-spectral feature extraction. We used a recently presented unsupervised convolutional neural network trained to enforce both population and lifetime spar-sity in the feature representation. We derived independent and joint feature representations, and analyzed the sparsity scores and the discriminative power. Interestingly, the obtained results revealed that the RGB+LiDAR representation is no longer sparse, and the derived basis functions merge color and elevation yielding a set of more expressive…
A Curvature Based Method for Blind Mesh Visual Quality Assessment Using a General Regression Neural Network
2016
International audience; No-reference quality assessment is a challenging issue due to the non-existence of any information related to the reference and the unknown distortion type. The main goal is to design a computational method to objectively predict the human perceived quality of a distorted mesh and deal with the practical situation when the reference is not available. In this work, we design a no reference method that relies on the general regression neural network (GRNN). Our network is trained using the mean curvature which is an important perceptual feature representing the visual aspect of a 3D mesh. Relatively to the human subjective scores, the trained network successfully asses…
When virtual and real worlds coexist: Visualization and visual system affect spatial performance in augmented reality
2021
New visualization approaches are being actively developed aiming to mitigate the effect of vergence-accommodation conflict in stereoscopic augmented reality; however, high interindividual variability in spatial performance makes it difficult to predict user gain. To address this issue, we investigated the effects of consistent and inconsistent binocular and focus cues on perceptual matching in the stereoscopic environment of augmented reality using a head-mounted display that was driven in multifocal and single focal plane modes. Participants matched the distance of a real object with images projected at three viewing distances, concordant with the display focal planes when driven in the mu…