1,721,301 research outputs found
Mirror double silence poetry. About Enamul Hoque . Michael Palin . Vilhem Hammerschoi . Jan Vermeer: issues of duplications
No full textLo specchio il doppio il silenzio la poesia. Di Enamul Hoque . Michael Palin . Vilhem Hammerschoi . Jan Vermeer: questioni di duplicazione
No full textMulti-Functional Guidance, Navigation and Control Simulation Environment-Rapid Prototyping of Space Simulations
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Hyperelastic Modeling of Rubber-Like Photopolymers for Additive Manufacturing Processes
Get PDFConstituive models of polymers for rapid prototypin
Enabling Accessible Charts Through Interactive Natural Language Interface for People with Visual Impairments
Get PDFWeb-based data visualizations have become very popular for exploring data and communicating insights. Newspapers, journals, and reports regularly publish visualizations to tell compelling stories with data. Unfortunately, most visualizations are inaccessible to readers with visual impairments. For many charts on the web, there are no accompanying alternative (alt) texts, and even if such texts exist they do not adequately describe important insights from charts. To address the problem, we first interviewed 15 blind users to understand their challenges and requirements for reading data visualizations. Based on the insights from these interviews, we developed \seechart, an interactive tool that automatically deconstructs charts from web pages and then converts them to accessible visualizations for blind people by enabling them to hear the chart summary as well as to interact through data points using the keyboard. Our evaluation with 14 blind participants suggests the efficacy of SeeChart in understanding key insights from charts and fulfilling their information needs while reducing their required time and cognitive burden
Towards Accessible Visualizations with Vision-Language Models
Get PDFData Visualizations such as charts/plots, and diagrams are multi-dimensional representations commonly used to explore data and communicate insights. They are available in diverse layouts and styles, each tailored to specific analytical needs. For example, with a smartwatch, one may monitor monthly sleeping cycles with a quick glance at a visual plot.
Unfortunately, it is estimated that in 2020, approximately 70\% of visual content existed in inaccessible modalities for readers with visual impairments. People sharing this content might lack the expertise to make their content accessible or fear the time and labor required to achieve such goals. On the other hand, People with Visual Impairment (PVI) might not be confident in the available assistive tools to enable them to interpret the content independently.
In this thesis, our research focuses on developing visual content analysis systems to assist sighted individuals to make their content accessible and to provide end-to-end access for PVI. More specifically, we investigate how to digitize documents and visuals while ensuring adherence to accessibility guidelines. To this end, we first investigate how to construct and convey layout information from deep learning models to tactile modalities. This approach is based on the idea that diverse categories of documents and variations in visuals can be primarily differentiated by their layout. Similarly, the advantage of tactile materials, compared to mere textual descriptions, lies mainly in their presentation layout. We further explore an application designed to jointly involve inexperienced users and deep learning models to make the conversion process more flexible.
Tactile materials and alternative text are not merely visual drawings or plain texts; they must comply with established standards. Assisting users and training models to author high-quality accessible content involves ensuring both comprehensiveness and adherence to accessibility standards. In a setup where the model is running end-to-end with a blind participant, or a sighted individual is authoring a chart description, we investigate how deep learning can support adherence to these standards and enhance the overall quality.
Given the diverse nature of documents and visuals, we finally ask how to cope with this diversity and adapt models\u27 performance accordingly. Capturing this diversity within the training process is crucial to ensure the robustness of the models in real-life scenarios, such as captured and scanned samples.
Our investigations have unfolded significant insights into accessible digitization, including new benchmarks for connecting vision-language models with assistive technologies. We have developed valuable and intelligent systems from which both inexperienced sighted and blind individuals can benefit. These advancements promise to enhance the usability and accessibility of digital content, making it more inclusive for all users
Advanced Applications of Rapid Prototyping Technology in Modern Engineering
Get PDFRapid prototyping (RP) technology has been widely known and appreciated due to its flexible and customized manufacturing capabilities. The widely studied RP techniques include stereolithography apparatus (SLA), selective laser sintering (SLS), three-dimensional printing (3DP), fused deposition modeling (FDM), 3D plotting, solid ground curing (SGC), multiphase jet solidification (MJS), laminated object manufacturing (LOM). Different techniques are associated with different materials and/or processing principles and thus are devoted to specific applications. RP technology has no longer been only for prototype building rather has been extended for real industrial manufacturing solutions. Today, the RP technology has contributed to almost all engineering areas that include mechanical, materials, industrial, aerospace, electrical and most recently biomedical engineering. This book aims to present the advanced development of RP technologies in various engineering areas as the solutions to the real world engineering problems
Enhancing code review for improved code quality with language model-driven approaches
No full textCode review is essential for maintaining software development standards, yet achieving effective reviews and issue resolution remains challenging. This thesis introduces RefineCode, an application tool to find actionable code reviews and provide similar code reviews as references within an organization, aiding developers in resolving issues effectively. To this end, we collected 9,500 code reviews from five private projects in an industrial setting and empirically evaluated various classification methods for identifying actionable code reviews. RefineCode automatically recommends relevant solutions from Stack Overflow based on textual similarity and entity linking between code reviews and Stack Overflow issues. Additionally, it integrates a chatbot feature, leveraging large language models to propose potential solutions for actionable code reviews. These features empower developers to make informed decisions, enhancing code quality by guiding issue resolution without reinforcing misunderstandings
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