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There still exists no common standard on how to publish and cite visualisations of simulation data. We introduce the TIB AV-Portal as a sustainable infrastructure for audio-visual data using a combination of digital object identifiers (DOI) and media fragment identifiers (MFID) to cite these data in accordance with scientific standards. The benefits and opportunities of enhancing publications with...
Existing approach to model sensor movement data as pairwise connections in networks implicitly assumes the Markov property and loses higher-order movement patterns. While the higher-order network (HON) captures higher-order movement patterns, there has not yet been a visualization tool tailored for HON. Based on our prior work, in this demo we present HoNVis, a comprehensive visualization and interactive...
The beginner counselors have more likely to continue counseling in their own interest, they have a high tendency to make great use of the closed-ended question in order to confirm the interpretation with the client. While expert counselors are instructing the counseling skill to beginner counselors, we consider that the reaction of a client for a beginner counselor's question is important to visualize...
Curriculum design and implementation in higher medical education can be a great challenge. Although there are well-defined standards, such as the Curriculum Inventory and Competency Framework by MedBiquitous Consortium, existing systems are incapable of a visual representation of the various components, attributes, and relations. In this paper, we present the MEDCIN platform, a pilot tool which uses...
Due to the influence of psychology and cognitive science, personalized learning has gradually drawn the attention of many researchers. The purpose of this paper is to research an acceptable personalized learning method for learners. In this paper, we perform a study by literature review from four aspects. Firstly, we construct learner model based on learner's learning style and cognitive ability....
The article presents the research on hydrographic data integration for the purpose of environment modelling. The approach taken by the authors assumes three basic sources of underwater information: sonar images, bathymetric grid and contour map of magnetic anomaly derived from hydrographic surveys conducted in marine waters. The article discusses the characteristics of each set of data and presents...
ICT in education is a significant strategic to promote the development and innovation of education. Most research studies focus on the establishment of the evaluation indicator system, but performance evaluation is important to the development of ICT in education. Based on the gray theory and fuzzy algorithm, this study analyzed the evaluation model of ICT in education, designed an evaluation system...
Organizations felt the need to quickly process information in an efficient way in order to support decision-making, thus leading to the emergence of Business Intelligence systems. Their use in organizations has become crucial in the treatment of large data volumes, and providing relevant information, in order to assertively support decision-making. This article presents the design of a data mart for...
The increasing amount of data generated every second of time and available from multiple sources and in various formats has generated new ways of dealing with them: Big Data. Methodologies and technologies have been developed to make good use of these data, but their adoption by organizations is complex in many respects. A review of the state of the art shows several models and frameworks where solutions...
This paper presents a user community research of natural resources and environmental scientists on their data discovery, reuse, and integration challenges, and provides recommendations on how academic libraries should improve their data repository systems and curation services.
River floods are a major challenge. Here we demonstrate a web-based dissemination and sharing platform that brings together the essential information on river floods under a single user interface. The system contains various types of flood-related information such as water levels, flows and rainfall, collected by geosensor networks, as well other kinds of relevant information. The platform can serve...
The use of large-scale scientific simulations that can represent physical systems using both particle and volume data simultaneously is gaining popularity as each of these reference frames has an inherent set of advantages when studying different phenomena. Furthermore, being able to study the dynamic evolution of these time varying data types is an integral part of nearly all scientific endeavors...
When a mobile device connects to a telecom network (e.g., GSM 2G, CDMA 3G and LTE 4G), the network generates measurement report (MR) data containing signal conditions to support communication services. Using MR data to predict the accurate position of a mobile device is an important problem in Telco industry, called Telco localization problem. Although the literatures have proposed various MR-based...
Passability maps are one of the basic elements used in military terrain assessment. The article describes an automating of their development. It performs all the stages of cartographic modelling, from data preparation to visualisation of the resulting passability maps in the form of a geoportal. A Vector Map Level 2 (VMap L2) was used as source data. In the described system, passability was relative...
Software systems can be found in almost every aspect of our lives, as can be seen in social media, online banking and shopping, as well as electronic health monitoring. This widespread involvement in our lives has led to the need to protect privacy, as the use of the software often requires us to input our personal information. Software systems can also hold sensitive data (e.g., a trade secret) that...
Plans for exascale computing have identified power and energy as looming problems for simulations running at that scale. In particular, writing to disk all the data generated by these simulations is becoming prohibitively expensive due to the energy consumption of the supercomputer while it idles waiting for data to be written to permanent storage. In addition, the power cost of data movement is also...
The Big data challenge includes dealing with a big number of heterogeneous and multidimensional datasets of all possible sizes not only with data of big size. As a result a huge number of Machine Learning (ML) tasks, which must be solved dramatically exceeds the number of data scientists who can solve these tasks. Next many ML tasks require critical input from subject matter experts (SME) and end...
The cartographic generalization of topographic maps content is very complicated processes and even now the used processes are not perfect. All topographic maps produced by Military geographic service at this moment are created in program ArcGIS, including generalization of their content. However, generalization procedures were created at the beginning of the 21st century. Current version of ArcGIS...
The unprecedented amounts of data generated from large scientific simulations impose a grand challenge in data analytics, and I/O simply becomes a major performance bottleneck. To address this challenge, we present an application-aware I/O optimization technique in support of interactive large-scale scientific visualization. We partition a scientific data into blocks, and carefully place data blocks...
Impact crater is the major geomorphic feature on the lunar surface. More than 8.2 million valid data samples were obtained by the Chang'E-l Laster Altimeter(LAM) and the craters are hidden among them. In order to visualize the topographical structure of these craters with high accuracy and computational stability, a novel scattered data fitting method was proposed in this paper. Based on the characteristics...
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