Many real-world problems involve time-oriented data. Time data is different from other kinds of data-explicitly harnessing the structures of time in visualizations can guide and support users' visual analysis proc...
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ISBN:
(纸本)9780769537337
Many real-world problems involve time-oriented data. Time data is different from other kinds of data-explicitly harnessing the structures of time in visualizations can guide and support users' visual analysis processes. State-of-the-art visualizations hardly take advantage of the structures of time to aid users in understanding and exploring the data. To bring more flexibility to the analysis process, we have developed interactive visual methods incorporating the structures of time within a pixel-based visualization called GROOVE (granular overview overlay). GROOVE uses different techniques to visualize time-oriented data by overlaying several time granularities in one visualization and provides interactive operators, which utilize the structures of time in different ways to capture and explore time-oriented data.
We do not know fully understand how software violates metrics based principles, particularly in large systems. Systems are restricted by structural and static deficiencies that we can aim to reduce by providing develo...
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ISBN:
(纸本)9781728149394
We do not know fully understand how software violates metrics based principles, particularly in large systems. Systems are restricted by structural and static deficiencies that we can aim to reduce by providing developers with effective visualizations of their code. We developed CorpusVis a widget-based application to explore software metrics of Java software systems from the Qualitas Corpus. Through an evaluation of the visualization techniques we identified what visualizations were effective and which ones did not scale well for large software systems. Our application helps to reduce the structural and static deficiencies in developers code which enables developers to spend less time maintaining legacy systems and learn to develop more effective code for future systems.
The design of digital musical instruments is based on the perceptions, especially visual, that they can generate in users during their use. Given the multifaceted nature of musical expression, this aspect plays a cruc...
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ISBN:
(纸本)9798350380170;9798350380163
The design of digital musical instruments is based on the perceptions, especially visual, that they can generate in users during their use. Given the multifaceted nature of musical expression, this aspect plays a crucial role in shaping their playability, requiring careful selection of the information to integrate into the instrument's interface. In this context, the music visualization techniques can offer substantial assistance, aiding in the pedagogical process of mastering these tools. In this work, we introduce Pulsate, an Android application engineered to enable real-time music composition by leveraging visual perceptions generated through the collision dynamics of geometric shapes resulting from the user's tactile interactions at specific points on the screen. The development of Pulsate involved the integration of various features: (i) provision for polytonality and different musical scales, (ii) internal playback modes which include percussive, harmonic, and melodic functionalities, (iii) incorporation of the MIDI protocol to facilitate control over external instruments. Through these features, Pulsate offers an intuitive platform for real-time music production. To realize this objective, we capitalized on graphics-oriented programming language processing capabilities. An evaluation study was conducted to assess the efficacy of how music can be produced expressively, involving a heterogeneous cohort of participants with varied musical backgrounds and degrees of proficiency in music theory. A further usability study was conducted to analyze the overall user satisfaction. The results of these studies provided us with positive feedback regarding the effectiveness of the concept, the aesthetic appeal of the graphical interface, and user satisfaction concerning the usability and utility of the provided tool.
We investigate the predictive power behind the language of food on social media. We collect a corpus of over three million food-related posts from Twitter and demonstrate that many latent population characteristics ca...
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ISBN:
(纸本)9781479956661
We investigate the predictive power behind the language of food on social media. We collect a corpus of over three million food-related posts from Twitter and demonstrate that many latent population characteristics can be directly predicted from this data: overweight rate, diabetes rate, political leaning, and home geographical location of authors. For all tasks, our language-based models significantly outperform the majority-class baselines. Performance is further improved with more complex natural language processing, such as topic modeling. We analyze which textual features have greatest predictive power for these datasets, providing insight into the connections between the language of food, geographic locale, and community characteristics. Lastly, we design and implement an online system for real-time query and visualization of the dataset. visualization tools, such as geo-referenced heatmaps and temporal histograms, allow us to discover more complex, global patterns mirrored in the language of food.
This paper describes the evolution and integration of hybrid interfaces in the visualization of three-dimensional models, and presents the results of a preliminary study based on the profile and the student motivation...
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ISBN:
(纸本)9781479939220
This paper describes the evolution and integration of hybrid interfaces in the visualization of three-dimensional models, and presents the results of a preliminary study based on the profile and the student motivation. The study is conducted with first and second year Building Engineering degree students in order to incorporate the augmented reality technology in different subjects and case studies. The resources developed combine traditional methods with interactive visualization of complex virtual models and mobile systems to present this type of content with the purpose of enhancing the student's visualization and spatial analysis skills and their motivation. We have used a mixed method research with quantitative evaluations (using a pre and post-test), and personal qualitative assessment (using the Bipolar Laddering technic) to further strengthen the results. In general, the student motivation to use this technology at classroom is positive and the preliminary results show us an improvement of their academic results, a confirmation of the adequacy of the method.
With the wide applications of algorithmic trading, it has become critical for traders to build a winning trading algorithm to beat the market. However, due to the lack of efficient tools, traders mainly rely on their ...
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ISBN:
(纸本)9781728180144
With the wide applications of algorithmic trading, it has become critical for traders to build a winning trading algorithm to beat the market. However, due to the lack of efficient tools, traders mainly rely on their memory to manually compare the algorithm instances of a trading algorithm and further select the best trading algorithm instance for the real trading deployment. We work closely with industry practitioners to discover and consolidate user requirements and develop an interactive visual analytics system for trading algorithm optimization. Structured expert interviews are conducted to evaluate TradAO and a representative case study is documented for illustrating the system effectiveness. To the best of our knowledge, previous financial data visual analyses have mainly aimed to assist investment managers in investment portfolio analysis but have neglected the need of traders in developing trading algorithms for portfolio execution. TradAO is the first visual analytics system that assists users in comprehensively exploring the performances of a trading algorithm with different parameter settings.
The article describes implementation of a strategy of visualization and interactive support for university level educational digitalization. Namely, within the e-learning environment for English learners, a model of v...
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ISBN:
(纸本)9781728103396
The article describes implementation of a strategy of visualization and interactive support for university level educational digitalization. Namely, within the e-learning environment for English learners, a model of visualization and interactive support of the educational process is developed. The structure of this model includes two modules: external web services and interactive activities of LMS Moodle. We consider such web services that provide visualization of the educational process such as: Biteable. com, Canva. com, Mindomo. com, and WordArt. com. We also consider web services that are used for interactive support of the learning process, such as *** and Exelearning. net. The module of interactive activities of the LMS Moodle is used to conduct knowledge testing (ex.: task, lecture, survey, test, H5P, Scorm package) and to enable communication between students (ex.: forum, glossary, chat, messaging, webinar, seminar). The suggested model is tested using e-courses developed at Sevastopol State University (SevSU) in LMS Moodle.
Detecting COVID-19 in early stages is crucial in order to initiate timely treatment of disease. COVID-19 screening with chest CT scans has been utilized due to the rapidity of results and robustness. Computer vision a...
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ISBN:
(纸本)9781665401913
Detecting COVID-19 in early stages is crucial in order to initiate timely treatment of disease. COVID-19 screening with chest CT scans has been utilized due to the rapidity of results and robustness. Computer vision aided medical diagnosis with deep learning models can improve accuracy and efficiency of screening. When developing models for high-risk medical classification tasks, it is important to aim to reach radiologist level interpretation in terms of cognition. When the human brain analyzes visual information, cognitive visual attention is applied in order to apply more focus onto higher frequency regions of interest. Using attention mechanisms in order to infer channel and spatial attention maps within convolutional neural networks can improve the performance in classification of COVID-19 changes. Through performing a compact study with a quantitative accuracy measure along with a qualitative visualization of activation heat-maps, we study the benefits of visual self-attention for the classification of COVID-19.
In this paper, we present a dynamic load-balancing scheme in a networked heterogeneous computing environment and apply it to a Web-based scientific visualization system, whose efficiency requires a much stronger suppo...
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ISBN:
(纸本)0769519164
In this paper, we present a dynamic load-balancing scheme in a networked heterogeneous computing environment and apply it to a Web-based scientific visualization system, whose efficiency requires a much stronger support than what is needed for visualizations merely on a single computer. To achieve the overall system resource utilization and to determine the most cost-effective strategy for such computing applications, we adopt a distributed asynchronous pipeline approach and a dynamic load-balancing algorithm at server side to distribute tasks among the whole system. To achieve efficient pipelining, it essentially requires a network with high bandwidth and low latency, an efficient interprocess communication mechanism on the network, and proper adaptation and partitioning of the visualization computations through the pipeline. By taking each client's capability into consideration, this dynamic approach can dispatch some stages of the visualization pipeline to client for executing. Besides, we also present a mechanism for selecting a computing unit that best suits for executing a specific visualization computation in the incoming job. We have demonstrated a number of static and dynamic configurations in task allocation and functional partitioning in order to realize the target application.
The Semantic annotation is becoming increasingly important for the on-line semantic reconstruction of the heterogeneous product information in the virtual organization (VO) with the semantic grid. Aim at the uniform k...
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ISBN:
(纸本)9783540859833
The Semantic annotation is becoming increasingly important for the on-line semantic reconstruction of the heterogeneous product information in the virtual organization (VO) with the semantic grid. Aim at the uniform knowledge representation on the heterogeneous product information of VO, the XOEM+OWL is put forward. And then the XOEM+OWL based production semantic annotation visualization, named a Linked-Entity visualization (LEV), is introduced. It uses AJAX/SVG to realize the visualization in the display space of the browser. The implementation of this system is shown at last.
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