Search results for "Visualization"

Protein knot server: detection of knots in protein structures

2007

KNOTS (http://knots.mit.edu) is a web server that detects knots in protein structures. Several protein structures have been reported to contain intricate knots. The physiological role of knots and their effect on folding and evolution is an area of active research. The user submits a PDB id or uploads a 3D protein structure in PDB or mmCIF format. The current implementation of the server uses the Alexander polynomial to detect knots. The results of the analysis that are presented to the user are the location of the knot in the structure, the type of the knot and an interactive visualization of the knot. The results can also be downloaded and viewed offline. The server also maintains a regul…

Automatic Assessment of Depression Based on Visual Cues: A Systematic Review

2019

International audience; Automatic depression assessment based on visual cues is a rapidly growing research domain. The present exhaustive review of existing approaches as reported in over sixty publications during the last ten years focuses on image processing and machine learning algorithms. Visual manifestations of depression, various procedures used for data collection, and existing datasets are summarized. The review outlines methods and algorithms for visual feature extraction, dimensionality reduction, decision methods for classification and regression approaches, as well as different fusion strategies. A quantitative meta-analysis of reported results, relying on performance metrics r…

On Spatio-Temporal Saliency Detection in Videos using Multilinear PCA

2016

International audience; Visual saliency is an attention mechanism which helps to focus on regions of interest instead of processing the whole image or video data. Detecting salient objects in still images has been widely addressed in literature with several formulations and methods. However, visual saliency detection in videos has attracted little attention, although motion information is an important aspect of visual perception. A common approach for obtaining a spatio-temporal saliency map is to combine a static saliency map and a dynamic saliency map. In this paper, we extend a recent saliency detection approach based on principal component analysis (PCA) which have shwon good results wh…

<title>Structure analysis of the Polish academic information society using MDS method</title>

2006

The article presents the methodology of webometrics research and analysis aiming at determining similar features of objects belonging to the Polish information society, which uses the Internet and its www resources for communication purposes. In particular, the analysis applies to the selected Polish technical universities. The research was carried out in several phases - on different data groups - with regards to the Internet space and time changes. The results have been presented in a form of two and three-dimensional topography maps. For the purposes of this analysis, the computer methods of multidimensional scaling were used. The research will be further continued for a selected group o…

Self-generated Drawing: A Help or Hindrance to Learning from Animation?

2017

The considerable potential of animations to aid learning about dynamic systems too often remains unfulfilled when the targeted subject matter is complex and unfamiliar. Various approaches designed to support learning from animation in such cases have met with limited success. Recent studies on learning from demanding texts indicate that educational outcomes can be improved if learners are required to self-generate drawings during their study of a text. This improvement has been attributed to the role of drawing in fostering deeper learner processing of the presented information and superior self-regulation as learning proceeds. It is possible that learner self-generation of drawings during …

Visualization and User Interface Questions about Disability

1999

The visually impaired and the intellectually disabled are not equal groups but both groups benefit partly from the same features. Communication, symbols, pictures, customizing and alternative languages are the key elements in visualization and in user interface design to the both groups.

Free networks visible networks

2005

Free network visible network is an active media system that uses the possibilities of the new technologies to create new landscapes in the public space by means of the visualization of the data that flow between digital networks. It changes our perception of the world with the "invisible meanings" that are around us. Mixed reality technology and Internet traffic listening system are adopted in this project in order to visualize, floating in the space, the interchanged information between users of a network. The people are able to experience in a new exciting way about how colorful virtual objects, representing the digital data, are flying around. These virtual objects change their shape, si…

Seeing Multivariate Data

2011

The evolution and changing ecology of the African hominid oral microbiome

2021

Significance The microbiome plays key roles in human health, but little is known about its evolution. We investigate the evolutionary history of the African hominid oral microbiome by analyzing dental biofilms of humans and Neanderthals spanning the past 100,000 years and comparing them with those of chimpanzees, gorillas, and howler monkeys. We identify 10 core bacterial genera that have been maintained within the human lineage and play key biofilm structural roles. However, many remain understudied and unnamed. We find major taxonomic and functional differences between the oral microbiomes of Homo and chimpanzees but a high degree of similarity between Neanderthals and modern humans, incl…

Extraction and fusion of spectral parameters for face recognition

2011

This is the copy of journal's version originally published in Proc. SPIE 7877: http://spie.org/x10.xml?WT.svl=tn7. Reprinted with permission of SPIE. Many methods have been developed in image processing for face recognition, especially in recent years with the increase of biometric technologies. However, most of these techniques are used on grayscale images acquired in the visible range of the electromagnetic spectrum. The aims of our study are to improve existing tools and to develop new methods for face recognition. The techniques used take advantage of the different spectral ranges, the visible, optical infrared and thermal infrared, by either combining them or analyzing them separately …