RadViz and star coordinates are two of the most popular projection-based multivariate visualization techniques that arrange variables in radial layouts. Formally, main difference between them consists a nonlinear normalization step inherent RadViz. In this paper we show that, although can be useful when analyzing sparse data, general design choice limits its applicability introduces several drawbacks for exploratory data analysis. particular, observe distortions, encumber outlier detection,...

In recent years, virtual reality has experienced notorious technological advances in a quite short time. an attempt to quickly response this technical developments, some designs and developments of inmersive environments have caused different symptoms such as dizziness or disorientation. This work aims analyze methods interaction locomotion used (Point Interest, Gamepad, Teleport, Room-Scale) three aspects: presence, cybersickness, usability. We designed developed experimental environment...

Abstract In this paper, we present a virtual reality interactive tool for generating and manipulating visualizations high-dimensional data in natural intuitive stereoscopic way. Our offers support diverse range of dimensionality reduction (DR) algorithms, enabling the transformation complex into insightful 2D or 3D representations within an immersive VR environment. The also allows users to include annotations with pen using hand tracking, assign class labels observations, perform...

Abstract The personalization of user experiences through recommendation systems has been extensively explored in Internet applications, but this yet to be fully addressed Virtual Reality (VR) environments. complexity managing geometric 3D data, computational load, and natural interactions poses significant challenges real-time adaptation these immersive experiences. However, tailoring VR environments individual needs interests holds promise for enhancing In paper, we present Environment...

Monitoring has always been a key element on ensuring the performance of complex distributed systems, being first step to control quality service, detect anomalies, or make decisions about resource allocation and job scheduling, name few. Edge computing is new type computing, where data processing performed by large number heterogeneous devices close place generated. Some differences between this approach more traditional architectures, like cloud high are that these have low power, unstable...

Star coordinates is a well-known multivariate visualization method that produces linear dimensionality reduction mappings through set of radial axes defined by vectors in an observable space. One its main drawbacks concerns the difficulty to recover attributes data samples accurately, which typically lie [0], [1] interval, given locations low-dimensional embeddings and vectors. In this paper we show centering can considerably increase attribute estimation accuracy, where values be read off...

Minor Surgery Sutures is a fundamental skill for healthcare professionals. However, in the educational field, practice of suturing sometimes limited and reduced, with more theoretical than practical study. In order to facilitate learning, our goal develop an immersive interactive tool that complements study, called Suture MR. This application could enhance suture procedural skills fields nursing medicine. Applying Mixed Reality techniques, we generate 3D model arm full-scale wound....

Abstract Radial axes plots are multivariate visualization techniques that extend scatterplots in order to represent high‐dimensional data as points on an observable display. Well‐known methods include star coordinates or principal component biplots, which attributes vectors define axes, and produce linear dimensionality reduction mappings. In this paper we propose a hybrid approach bridges the gap between denominate “adaptable radial plots”. It is based solving convex optimization problems...

Molecular dynamics simulations take advantage of supercomputing environments, e.g., to solve molecular systems composed millions atoms. Supercomputers are increasing their computing and memory power while they becoming more complex with the introduction Multi-GPU environments. Despite these capabilities, simulation is not an easy process. It requires properly preparing data configuring entire operation, installing managing specific software packages potential supercomputers. We propose a...

Chronic diseases are becoming more widespread each year in developed countries, mainly due to increasing life expectancy. Among them, diabetes mellitus (DM) and essential hypertension (EH) two of the most prevalent ones. Furthermore, they can be onset other chronic conditions such as kidney or obstructive pulmonary diseases. The need comprehend factors related complex motivates development interpretative visual analysis methods, classification trees, which not only provide predictive models...

The cloud computing model aims to make large-scale data-intensive affordable even for users with limited financial resources, that cannot invest into expensive infrastructures necesssary run them. In this context, MapReduce is emerging as a highly scalable programming paradigm enables high-throughput processing service. Its performance dependent on the underlying storage service, responsible efficiently support massively parallel data accesses by guaranteeing high throughput under heavy...

Abstract Over the last decade, grid computing has paved way for a new level of large‐scale‐distributed systems. However, this step in distributed comes along with completely complexity. Grid management mechanisms play key role, and correct analysis understanding behavior is needed. Traditional‐distributed analyze each resource separately adjust specific parameters one them. When trying to adapt same procedures computing, vast complexity system can complicate task. But could only be matter...