175 research outputs found
Analysis of Privacy Leak on Twitter
No full text10.1109/GLOCOM.2017.82544962017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings2018-January1-
DEFT: A Distributed IoT Fingerprinting Technique
No full text10.1109/JIOT.2018.2865604IEEE Internet of Things Journal61940-95
Evaluation of the Library’s Digital Collections web site & usability testing of the Western Waters Digital Library web site
No full textSpring 2007.Presents results of a heuristic evaluation and usability testing conducted for two digital collections web sites by the JT661 (Information Design) class during spring 2007. Instructor: Don Zimmerman. Class members: Rebecca Anderson, Darren Bau-Madsen, Christian Blevins, Asma Bukhari, Meghala Divakaran, Jefferie Mitchell, Greg Vogl
The mathematics of India by P.P. Divakaran
No full textWhile it is well known that India has a long and rich
tradition in Mathematics, it is hard to come by books
which explain the specific contributions in detail,
trace the evolution and continuity of mathematical ideas, and
survey the historical and social background in which research in
mathematics was carried out. Divakaran’s excellent book, which is
readable, scholarly and well-researched, fills this need
Towards an integrated framework for coastal eco-cities
No full textThis report presents a structured and informative analysis of two poignant European and Asian Coastal Eco-City projects. The scholars have recognised the diverse pathways Eco- City developments take within the duration their development; therefore we work towards a framework that draws upon influences from two, polarised developments in Eco-City design.Available data for both cities was not equally distributed for all aspects of the development process; however we present a comprehensive analysis throughout various stages, from initial project drivers, through to project outcomes.The environmental, social, and legal/political aspects of both developments are clearly outlined in order to reveal transferrable elements of Eco-City developments across EU- Asia borders. Equally, the pivotal role of contract arrangement and stakeholder engagement across two juxtaposed cultures are compared in context.We then give recommendations for an integrated framework for Eco-City design. We address green building standards, energy supply, waste management, transportation, and coastal infrastructures, as well as the integral role of Key Performance Indicators.We conclude the text with an analysis of transferability and the feasibility of combining EU-Asia Eco-City concepts towards the common goal of sustainable development
Globally Scalable and Locally Adaptable Solutions for Agriculture
No full textPrecision agriculture and smart farming will soon replace the conventional methods adopted in agriculture; these technologies are capable of increasing the productivity of crops and also optimizing the inputs, and at the same time sustaining the environmental resources. The ability of satellite data in precision farming has been made evident through several projects and research activities adopted across India. The past decade has seen a rapid increase in the use of satellite-based remote sensing data in crop mapping and crop monitoring. This growth can be attributed to at least three factors—the availability of open remote sensing data, advanced machine learning methods, and access to cloud computing platforms that can handle big data storage and processing. In this book chapter, we propose Globally Scalable and Locally Adaptable Solutions for Agriculture that can facilitate in crop monitoring at a larger scale. This chapter focuses on the use of open-source high-resolution (in terms of spectral, spatial, and temporal resolution) satellite data; open source cloud-based platforms, and big data algorithms that are reforming agriculture. This book chapter will detail the available open-source satellite data and platforms with use cases. We also discuss in detail the methodology of developing a crop monitoring system using Google Earth Engine that can be globally scaled and locally adaptable, using a case study of the wheat crop for Samastipur district, Bihar, India
Will the Information Security Industry Die? Applying Social Network Analysis to Sturdy Industry Convergence
No full textIn this paper, we first analyze the trends in mergers and acquisitions (M&As) activities among information security firms and other information technology (IT) firms in the US over the period 1996 to 2008. We then use social network analysis to investigate the characteristics and underlying dynamics of these M&As activities. Our results reveal an increase in cohesiveness of 200% in the network linking the information security firms and the IT firms considered in our analysis. This, in turn, implies a move towards industry convergence. In particular, we show that acquisitions of identity and access management (IAM) firms have become more central to M&As by IT firms in the US since 2004, reflecting an increasing trend among IT firms to integrate IAM technologies within their products
High-level feature detection from video in TRECVid: a 5-year retrospective of achievements
No full textSuccessful and effective content-based access to digital
video requires fast, accurate and scalable methods to determine the video content automatically. A variety of contemporary approaches to this rely on text taken from speech within the video, or on matching one video frame against others using low-level characteristics like
colour, texture, or shapes, or on determining and matching objects appearing within the video. Possibly the most important technique, however, is one which determines the presence or absence of a high-level or semantic feature, within a video clip or shot. By utilizing dozens, hundreds or even thousands of such semantic features we can support many kinds of content-based video navigation. Critically however, this depends on being able to determine whether each feature is or is not present in a video clip.
The last 5 years have seen much progress in the development of techniques to determine the presence of semantic features within video. This progress can be tracked in the annual TRECVid benchmarking activity where dozens of research groups measure the effectiveness of their techniques on common data and using an open, metrics-based approach. In this chapter we summarise the work
done on the TRECVid high-level feature task, showing the
progress made year-on-year. This provides a fairly comprehensive statement on where the state-of-the-art is regarding this important task, not just for one research group or for one approach, but across the spectrum. We then use this past and on-going work as a basis for highlighting the trends that are emerging in this area, and the questions which remain to be addressed before we can
achieve large-scale, fast and reliable high-level feature detection on video
Building parallel and distributed Systems
No full textIn recent years, considerable interest in the design of parallel and distributed applications has emerged from various disciplines including database systems, network systems, operating systems and computer architecture, as well as the traditional high-performance community. A distributed application can be de'ned as 'a system of several independent software components, cooperating towards a common purpose, where the components are not all co- located at a single site'. Applications of this type represent a significant proportion of computer software today
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