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Accurate reporting of results is extremely important. This is especially relevant for energy and environmental data associated with government driven incentives and disincentives (such as tax benefits for energy efficiency or mandatory GHG emission reporting). Any abnormalities in the data can significantly affect reported results. It is therefore critically important to properly evaluate all data...
The HL7 Fast Healthcare Interoperability Resources (FHIR) specification is emerging as a next generation standards framework for the exchange of electronic health records (EHR) data. The rich semantic representation and sophisticated structure definition of the FHIR requires a relatively deep learning curve to understand and utilize. The objective of our study is to design and develop a user-friendly...
Humans possess an extraordinary ability to learn new skills and new knowledge for problem solving. Such learning ability is also required by an automatic model to deal with arbitrary, open-ended questions in the visual world. We propose a neural-based approach to acquiring task-driven information for visual question answering (VQA). Our model proposes queries to actively acquire relevant information...
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...
Provenance refers to the information about the derivation history of a data product. It is important for evaluating the quality and trustworthiness of a data product and ensuring the reproducibility of scientific discoveries. Much research has been done on storing and querying scientific workflow provenance - provenance that is produced in the execution of data-centric scientific workflows. To address...
The ability to automatically detect the extent of agreement or disagreement a person expresses is an important indicator of inter-personal relations and emotion expression. Most of existing methods for automated analysis of human agreement from audio-visual data perform agreement detection using either audio or visual modality of human interactions. However, this is suboptimal as expression of different...
The IEEE is currently developing a standard “Electrical characterization of printed circuit board and related interconnects at frequencies up to 50GHz” (IEEE Std P370). As part of the development of this standard, a technique (or techniques) is (are) required in order to provide a measure of the goodness-of-fit between measured and simulated data for a structure or between different measurements or...
Recently, deep Convolutional Neural Networks (CNNs) have been used to achieve state-of-the-art performance on a wide range of visual learning tasks. However, when facing some imbalanced learning tasks where the training samples are unevenly distributed among different classes, CNNs tend to produce performance bias toward the majority class, making them not suitable for applications in which the recognition...
A cross-platform three-dimensional (3D) system, Acu3D, was developed to visualize human meridians and acupoints. Firstly, a 3D model of human body with meridians and acupoints was built as the basic data for Acu3D. The existing relevant standards and clinical knowledge were collected and organized to construct a knowledge-base which was integrated into the system. Then, Acu3D was realized leveraged...
Manipulation of error feedback has been of great interest to recent studies in motor control and rehabilitation. Typically, motor adaptation is shown as a change in performance with a single scalar metric for each trial, yet such an approach might overlook details about how error evolves through the movement. We believe that statistical distributions of movement error through the extent of the trajectory...
Model-Based Systems Engineering (MBSE) promotes increased consistency between a system's design and its design documentation through the use of an object-oriented system model. The creation of this system model facilitates data presentation by providing a mechanism from which information can be extracted by automated manipulation of model content. Existing MBSE tools enable model creation, but are...
In this work particularities of visualisation of medical and wellness data through a digital patient avatar are given from a standpoint of a proposed approach, under which data for a visualisation may be obtained from a variety of sources through defined interfaces, while end-user interfaces of distinct complexity and level of immersion into the model may be exposed to different categories of users...
Developing sustainable urban environments is complex as it requires consideration of interacting social, economic and environmental sustain ability factors. The task is made even more difficult by the wide variety of stakeholders (e.g. planners, architects, businesses and the public) that may be involved in the process and the lack of a common language for all to understand. This paper describes a...
Digital Earth (DE) is a virtual presentation of the planet based on geographic coordinate, and is an information system with tremendous amount of multiple resolutions and multiple scales data as shown in multiple dimensions. It can visualize the real earth and represent historical phenomena in digital way by using the large amount of data of the earth, and utilizing the computer techniques, image...
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