2,759 research outputs found

    Augmenting data warehousing architectures with Hadoop

    Get PDF
    As the volume of available data increases exponentially, traditional data warehouses struggle to transform this data into actionable knowledge. This study explores the potentialities of Hadoop as a data transformation tool in the setting of a traditional data warehouse environment. Hadoop’s distributed parallel execution model and horizontal scalability offer great capabilities when the amounts of data to be processed require the infrastructure to expand. Through a typification of the SQL statements, responsible for the data transformation processes, we were able to understand that Hadoop, and its distributed processing model, delivers outstanding performance results associated with the analytical layer, namely in the aggregation of large data sets. We demonstrate, empirically, the performance gains that can be extracted from Hadoop, in comparison to a Relational Database Management System, regarding speed, storage usage, and scalability potential, and suggest how this can be used to evolve data warehouses into the age of Big Data

    GazeDrone: Mobile Eye-Based Interaction in Public Space Without Augmenting the User

    Get PDF
    Gaze interaction holds a lot of promise for seamless human-computer interaction. At the same time, current wearable mobile eye trackers require user augmentation that negatively impacts natural user behavior while remote trackers require users to position themselves within a confined tracking range. We present GazeDrone, the first system that combines a camera-equipped aerial drone with a computational method to detect sidelong glances for spontaneous (calibration-free) gaze-based interaction with surrounding pervasive systems (e.g., public displays). GazeDrone does not require augmenting each user with on-body sensors and allows interaction from arbitrary positions, even while moving. We demonstrate that drone-supported gaze interaction is feasible and accurate for certain movement types. It is well-perceived by users, in particular while interacting from a fixed position as well as while moving orthogonally or diagonally to a display. We present design implications and discuss opportunities and challenges for drone-supported gaze interaction in public

    SAMI: Service-Based Arbitrated Multi-Tier Infrastructure for Mobile Cloud Computing

    Get PDF
    Mobile Cloud Computing (MCC) is the state-ofthe- art mobile computing technology aims to alleviate resource poverty of mobile devices. Recently, several approaches and techniques have been proposed to augment mobile devices by leveraging cloud computing. However, long-WAN latency and trust are still two major issues in MCC that hinder its vision. In this paper, we analyze MCC and discuss its issues. We leverage Service Oriented Architecture (SOA) to propose an arbitrated multi-tier infrastructure model named SAMI for MCC. Our architecture consists of three major layers, namely SOA, arbitrator, and infrastructure. The main strength of this architecture is in its multi-tier infrastructure layer which leverages infrastructures from three main sources of Clouds, Mobile Network Operators (MNOs), and MNOs' authorized dealers. On top of the infrastructure layer, an arbitrator layer is designed to classify Services and allocate them the suitable resources based on several metrics such as resource requirement, latency and security. Utilizing SAMI facilitate development and deployment of service-based platform-neutral mobile applications.Comment: 6 full pages, accepted for publication in IEEE MobiCC'12 conference, MobiCC 2012:IEEE Workshop on Mobile Cloud Computing, Beijing, Chin

    The UK landscape for robotics and autonomous systems

    Get PDF
    Robotics and Autonomous Systems Special Interest Group Report: Innovate UK - Technology Strategy Board This landscape collates the output from a series of workshops designed to explore the impact on the UK of advances in Robotics and Autonomous Systems (RAS). In overviewing the resulting landscape it is clear that the RAS opportunity, as perceived by the UK community, is extensive and rich and that the UK has the potential to create a strong RAS market. It is also clear that robotics and autonomous systems will impact on each UK market sector and that the total size of this impact will be significantly greater than the size of the RAS sector itself. Across these sectors strong cross cutting themes exist that can be used to drive synergies to build technical capability and market opportunity. Within those sectors that will benefit the most from robotics and autonomous systems technology the potential for disruptive innovation and the need to respond to change through the development of new business models is now obvious. Robotics and autonomous systems do not work in isolation. They will require testing, regulation, standards, innovation, investment and skills together with technical progress and strong collaborative partnerships in order to fully realise the opportunity. The resulting Landscape carries an essential message; that the UK has a unique opportunity to engage with robotics and autonomous systems, to exploit existing expertise within the UK and explore its potential, but that other nations are similarly engaged and the UK must now be bold and invest to win. 41 Individuals listed as contributor

    Analytical Challenges in Modern Tax Administration: A Brief History of Analytics at the IRS

    Get PDF

    Economic impacts of SEZs: Theoretical approaches and analysis of newly notified SEZs in India

    Get PDF
    This study aims at examining the economic impacts of SEZs in the Indian context. While doing so, it addresses the conceptual confusion about SEZs, outlines the evolution of SEZs; traces economic philosophies explaining the rationale and benefits of SEZs; extends existing theoretical literature to explain the economic impacts of SEZs; assesses the economic impacts of newly notified SEZs in India; reviews the strategies followed by various state governments in the implementation of the policy ; and draws policy implications. It argues that the existing economic theories donot adequately explain the rationale and contribution of SEZs. These approaches need to be extended by integrating the provisions of the theories of agglomeration economies and global value chains within the existing theoretical frameworks. It analyses the economic impacts of SEZs within the extended theoretical framework. It finds that while SEZs are stimulating direct investment and employment, their role appears to be more valuable in bringing about economic transformation from a resource-led economy to a skill and technology-led economy; from low value added economic activities to high value added economic activities; from low productive sectors to high productive sectors; and from unorganised to organized sectors, both at the national and regional levels. They have the potential of promoting new knowledge intensive industries; augmenting existing industrial clusters/industrial states; diversifying the local industrial base; and localizing global value chain. However, a strategic approach is required to reap the opportunities offered by SEZs.Special economic zones; Exports; FDI; Economic diversification; Agglomeration economies; global value chains;India

    CONSUMER RESPONSES TO ONLINE FOOD RETAILING

    Get PDF
    Consumer behavior in the context of online food retail channels is analyzed. The research is a follow-up to an earlier study conducted in early 1998 on consumer response to online food shopping. In the 1998 study (N=243), a majority of the sample (51 percent) were "new" users of online food shopping (<6 months); 35 percent were "intermediate" users (1-6 months); and only 14 percent were "experienced" users (>6 months). In contrast, the new user segment in the follow-up study (N=412) was 29 percent; the intermediate segment was 28 percent; and the experienced group was 43 percent. Demographic profiles and shopping behaviors of respondents in the two studies are compared. Using cluster analysis, four distinct segments of online food shoppers are identified. Marketing strategy implications for online retailers and store retailers are discussed.Consumer/Household Economics, Research and Development/Tech Change/Emerging Technologies,

    Towards information profiling: data lake content metadata management

    Get PDF
    There is currently a burst of Big Data (BD) processed and stored in huge raw data repositories, commonly called Data Lakes (DL). These BD require new techniques of data integration and schema alignment in order to make the data usable by its consumers and to discover the relationships linking their content. This can be provided by metadata services which discover and describe their content. However, there is currently a lack of a systematic approach for such kind of metadata discovery and management. Thus, we propose a framework for the profiling of informational content stored in the DL, which we call information profiling. The profiles are stored as metadata to support data analysis. We formally define a metadata management process which identifies the key activities required to effectively handle this.We demonstrate the alternative techniques and performance of our process using a prototype implementation handling a real-life case-study from the OpenML DL, which showcases the value and feasibility of our approach.Peer ReviewedPostprint (author's final draft

    STRENGTHENING DECENTRALIZATION - Augmenting the Consolidated Fund of the states by th Thirteenth Finacnce Commission: A NORMATIVE APPROACH

    Get PDF
    One of the terms of reference of the Thirteenth Finance Commission (ThFC) calls upon the Finance Commission to look at ‘Measures needed to augment the consolidated fund of a State to supplement the resources of the Panchayats and Municipalities in the State on the basis of the recommendations made by the Finance Commission of the State’. In view of this, the present study examines issues related to fiscal federalism at the third tier in general and grants to local bodies in particular. It is well documented in the literature that the state of finances of local bodies, both urban and rural, displays a dismal picture in India. In contrast, the finances of the Central and State Governments are on a healthier track with the implementation of the rule based fiscal framework. The study opines that there is a need to fine tune the micro design of grants for local bodies (both urban and local) and their devolution across the States.
    corecore