Leading Undergraduate Students to Big Data Generation

People are facing a flood of data today. Data are being collected at unprecedented scale in many areas, such as networking, image processing, virtualization, scientific computation, and algorithms. The huge data nowadays are called Big Data. Big data is an all encompassing term for any collection of data sets so large and complex that it becomes difficult to process them using traditional data processing applications. In this article, the authors present a unique way which uses network simulator and tools of image processing to train students abilities to learn, analyze, manipulate, and apply Big Data. Thus they develop students handson abilities on Big Data and their critical thinking abilities. The authors used novel image based rendering algorithm with user intervention to generate realistic 3D virtual world. The learning outcomes are significant

The Descriptive Challenges of Fiber Art

published or submitted for publicatio

The hunt for submarines in classical art: mappings between scientific invention and artistic interpretation

This is a report to the AHRC's ICT in Arts and Humanities Research Programme. This report stems from a project which aimed to produce a series of mappings between advanced imaging information and communications technologies (ICT) and needs within visual arts research. A secondary aim was to demonstrate the feasibility of a structured approach to establishing such mappings. The project was carried out over 2006, from January to December, by the visual arts centre of the Arts and Humanities Data Service (AHDS Visual Arts).1 It was funded by the Arts and Humanities Research Council (AHRC) as one of the Strategy Projects run under the aegis of its ICT in Arts and Humanities Research programme. The programme, which runs from October 2003 until September 2008, aims ‘to develop, promote and monitor the AHRC’s ICT strategy, and to build capacity nation-wide in the use of ICT for arts and humanities research’.2 As part of this, the Strategy Projects were intended to contribute to the programme in two ways: knowledge-gathering projects would inform the programme’s Fundamental Strategic Review of ICT, conducted for the AHRC in the second half of 2006, focusing ‘on critical strategic issues such as e-science and peer-review of digital resources’. Resource-development projects would ‘build tools and resources of broad relevance across the range of the AHRC’s academic subject disciplines’.3 This project fell into the knowledge-gathering strand. The project ran under the leadership of Dr Mike Pringle, Director, AHDS Visual Arts, and the day-to-day management of Polly Christie, Projects Manager, AHDS Visual Arts. The research was carried out by Dr Rupert Shepherd

Towards memory supporting personal information management tools

In this article we discuss re-retrieving personal information objects and relate the task to recovering from lapse(s) in memory. We propose that fundamentally it is lapses in memory that impede users from successfully re-finding the information they need. Our hypothesis is that by learning more about memory lapses in non-computing contexts and how people cope and recover from these lapses, we can better inform the design of PIM tools and improve the user's ability to re-access and re-use objects. We describe a diary study that investigates the everyday memory problems of 25 people from a wide range of backgrounds. Based on the findings, we present a series of principles that we hypothesize will improve the design of personal information management tools. This hypothesis is validated by an evaluation of a tool for managing personal photographs, which was designed with respect to our findings. The evaluation suggests that users' performance when re-finding objects can be improved by building personal information management tools to support characteristics of human memory

Delivering elder-care environments utilizing TV-channel based mechanisms

In this paper, we present a smart environment for elderly. What makes the development of such system challenging is that the concept of smartness for elderly brings to the extreme the idea of invisibility of the technology. In our experience, elders are well-disposed to new technologies, provided that those will not require significant changes - namely, they are invisible - to their habits. Starting from this consideration, 200 caregivers responses were collected by questionnaire, so as to better understand elders' needs and habits. A system was subsequently developed allowing elders to access a number of "modern web services" as standard TV channels: at channel 43 there is the health status, at channel 45 the photos of the family, at 46 the agenda of the week, just to mention few of the available services. The content of such services is automatically generated by the smart devices in the environment and is managed by the caregivers (e.g., family members) by simple web apps. Fourteen families were asked to install the system in their house. The results of these experiments confirm that the proposed system is considered effective and user-friendly by elders

Sludge and Ordeals

Is there an argument for behaviorally informed deregulation? In 2015, the United States government imposed 9.78 billion hours of paperwork burdens on the American people. Many of these hours are best categorized as “sludge,” understood as friction, reducing access to important licenses, programs, and benefits. Because of the sheer costs of sludge, rational people are effectively denied life-changing goods and services. The problem is compounded by the existence of behavioral biases, including inertia, present bias, and unrealistic optimism. A serious deregulatory effort should be undertaken to reduce sludge through automatic enrollment, greatly simplified forms, and reminders. At the same time, sludge can promote legitimate goals. First, it can protect program integrity, which means that policymakers might have to make difficult tradeoffs between (1) granting benefits to people who are not entitled to them and (2) denying benefits to people who are entitled to them. Second, it can overcome impulsivity, recklessness, and self-control problems. Third, it can prevent intrusions on privacy. Fourth, it can serve as a rationing device, ensuring that benefits go to people who most need them. Fifth, it can help public officials to acquire valuable information, which they can use for important purposes. In most cases, however, these defenses of sludge turn out to be far more attractive in principle than in practice. For sludge, a form of cost-benefit analysis is essential, and it will often demonstrate the need for a neglected form of deregulation: sludge reduction. For both public and private institutions, “Sludge Audits” should become routine, and they should provide a foundation for behaviorally informed deregulation. Various suggestions are offered for new action by the Office of Information and Regulatory Affairs, which oversees the Paperwork Reduction Act; for courts; and for Congress

ArchiVISTA: A New Horizon in Providing Access to Visual Records of the National Archives of Canada

published or submitted for publicatio

3D Face Reconstruction by Learning from Synthetic Data

Fast and robust three-dimensional reconstruction of facial geometric structure from a single image is a challenging task with numerous applications. Here, we introduce a learning-based approach for reconstructing a three-dimensional face from a single image. Recent face recovery methods rely on accurate localization of key characteristic points. In contrast, the proposed approach is based on a Convolutional-Neural-Network (CNN) which extracts the face geometry directly from its image. Although such deep architectures outperform other models in complex computer vision problems, training them properly requires a large dataset of annotated examples. In the case of three-dimensional faces, currently, there are no large volume data sets, while acquiring such big-data is a tedious task. As an alternative, we propose to generate random, yet nearly photo-realistic, facial images for which the geometric form is known. The suggested model successfully recovers facial shapes from real images, even for faces with extreme expressions and under various lighting conditions.Comment: The first two authors contributed equally to this wor

Uncomplicating the business of repositories

In this presentation, we discuss how our library runs our repository in production to meet the needs of our “business” as efficiently as possible. We have an interest in limiting the number of digital platforms we manage, for the purposes of sustainability and efficiency, but we must also consider how well a general platform can meet specific user needs. A governance group of administrators, in conference with stakeholders and developers, seeks to find the best way to accommodate each collection or functional need, with an eye to minimizing technical complexity, offering stakeholders self-serve options when possible, and maintaining a single canonical copy of each object. We will present some case studies of how material has been handled in our developing digital ecosystem, where preservation and access sometimes present conflicting priorities. We are exploring how our repository can best evolve to support our aims of making data and documents freely available

Special Libraries, March 1961

Volume 52, Issue 3https://scholarworks.sjsu.edu/sla_sl_1961/1002/thumbnail.jp