344,465 research outputs found

    An audio-visual approach to teaching the social aspects of sustainable product design

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    This paper considers the impact of audio-visual resources in enabling students to develop an understanding of the social aspects of sustainable product design. Building on literature concerning the learning preferences of ‘Net Generation’ learners, three audio-visual workshops were developed to introduce students to the wider social aspects of sustainability and encourage students to reflect upon the impact of their practice. The workshops were delivered in five universities in Britain and Ireland among undergraduate and postgraduate students. They were designed to encourage students to reflect upon carefully designed audio-visual materia ls in a group-based environment, seeking to foster the preferences of Net Generation learners through collaborative learning and learning through discovery. It also sought to address the perceived weaknesses of this generation of learners by encouraging critical reflection. The workshops proved to be popular with students and were successful in enabling them to grasp the complexity of the social aspects of sustainable design in a short span of time, as well as in encouraging personal responses and creative problem solving through an exploration of design thinking solutions

    MERAJUT KERAGAMAN

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    Abstract : Art reflects an accumulation of mental experiences through analysis, observation, exploration, and contemplation of the values of religion, culture, politic, tradition, natural beauty, and daily activities in our live. Phenomenon of an object does not automatically represents what it looks. To have an appropriate image of an aesthetic object, contemplation, and interpretation of the essence are required. The traditional Balinese woven product has inspired us to have ideas on philosophical values of life. Interrelated vertical and horizontal lines represents the Balinese life concept of “Tri Hita Karana”, meaning a balance between spiritual and material life. This represents a balanced relationship between humans and God, among humans, and between humans and natural environment. The heteroginity of social life keeps moving in space and time that horizontal conflict occur. There are different ideologies, races, languages, cultures, and interests. When understood with extreme fanatism and when individual or group interests supersede public interests, conflicts in social life will occur. Diversity should be understood as potential strength when it is managed wisely and harmoniously to have a mutual understanding, mutual respect and harmonious diversity. Diversity as a concept of life is manifested in a visual language of painting. The complexity of conceptual expression as the interpretation of the phenomena of life is then translated into personal symbols on media. The basic elements of visual arts such as lines, shapes, dots, colors, are processed in such an aesthetic way to have comprehensive. Art of artistict and aesthetic painting

    Spherical similarity explorer for comparative case analysis

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    Comparative Case Analysis (CCA) is an important tool for criminal investigation and crime theory extraction. It analyzes the commonalities and differences between a collection of crime reports in order to understand crime patterns and identify abnormal cases. A big challenge of CCA is the data processing and exploration. Traditional manual approach can no longer cope with the increasing volume and complexity of the data. In this paper we introduce a novel visual analytics system, Spherical Similarity Explorer (SSE) that automates the data processing process and provides interactive visualizations to support the data exploration. We illustrate the use of the system with uses cases that involve real world application data and evaluate the system with criminal intelligence analysts

    mTreeIllustrator: A Mixed-Initiative Framework for Visual Exploratory Analysis of Multidimensional Hierarchical Data

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    Multidimensional hierarchical (mTree) data are very common in daily life and scientific research. However, mTree data exploration is a laborious and time-consuming process due to its structural complexity and large dimension combination space. To address this problem, we present mTreeIllustrator, a mixed-initiative framework for exploratory analysis of multidimensional hierarchical data with faceted visualizations. First, we propose a recommendation pipeline for the automatic selection and visual representation of important subspaces of mTree data. Furthermore, we design a visual framework and an interaction schema to couple automatic recommendations with human specifications to facilitate progressive exploratory analysis. Comparative experiments and user studies demonstrate the usability and effectiveness of our framework

    Spherical similarity explorer for comparative case analysis

    Get PDF
    Comparative Case Analysis (CCA) is an important tool for criminal investigation and crime theory extraction. It analyzes the commonalities and differences between a collection of crime reports in order to understand crime patterns and identify abnormal cases. A big challenge of CCA is the data processing and exploration. Traditional manual approach can no longer cope with the increasing volume and complexity of the data. In this paper we introduce a novel visual analytics system, Spherical Similarity Explorer (SSE) that automates the data processing process and provides interactive visualizations to support the data exploration. We illustrate the use of the system with uses cases that involve real world application data and evaluate the system with criminal intelligence analysts

    Visual analytics methods for retinal layers in optical coherence tomography data

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    Optical coherence tomography is an important imaging technology for the early detection of ocular diseases. Yet, identifying substructural defects in the 3D retinal images is challenging. We therefore present novel visual analytics methods for the exploration of small and localized retinal alterations. Our methods reduce the data complexity and ensure the visibility of relevant information. The results of two cross-sectional studies show that our methods improve the detection of retinal defects, contributing to a deeper understanding of the retinal condition at an early stage of disease.Die optische KohĂ€renztomographie ist ein wichtiges Bildgebungsverfahren zur FrĂŒherkennung von Augenerkrankungen. Die Identifizierung von substrukturellen Defekten in den 3D-Netzhautbildern ist jedoch eine Herausforderung. Wir stellen daher neue Visual-Analytics-Methoden zur Exploration von kleinen und lokalen NetzhautverĂ€nderungen vor. Unsere Methoden reduzieren die DatenkomplexitĂ€t und gewĂ€hrleisten die Sichtbarkeit relevanter Informationen. Die Ergebnisse zweier Querschnittsstudien zeigen, dass unsere Methoden die Erkennung von Netzhautdefekten in frĂŒhen Krankheitsstadien verbessern
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