133 research outputs found

    Statistical structures for internet-scale data management

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    Efficient query processing in traditional database management systems relies on statistics on base data. For centralized systems, there is a rich body of research results on such statistics, from simple aggregates to more elaborate synopses such as sketches and histograms. For Internet-scale distributed systems, on the other hand, statistics management still poses major challenges. With the work in this paper we aim to endow peer-to-peer data management over structured overlays with the power associated with such statistical information, with emphasis on meeting the scalability challenge. To this end, we first contribute efficient, accurate, and decentralized algorithms that can compute key aggregates such as Count, CountDistinct, Sum, and Average. We show how to construct several types of histograms, such as simple Equi-Width, Average-Shifted Equi-Width, and Equi-Depth histograms. We present a full-fledged open-source implementation of these tools for distributed statistical synopses, and report on a comprehensive experimental performance evaluation, evaluating our contributions in terms of efficiency, accuracy, and scalability

    Low Energy Smart Phone for the Homeless

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    For our senior design project, we conducted research on the Android mobile operating system, looking for ways to improve it for the homeless. The problem with the current system is that it is designed for wealthier consumers, while less fortunate consumers such as the homeless have different requirements for them. In our researched, we attemepted to reconfigure the android operating system so that it would be more tailored to the homeless. We first researched what features the homeless value in a mobile device. We then determined how we could improve the battery life at a user configuration level based on the requirements of the homeless. Following these initial improvements, we determined how we could improve the battery life of the android system by modifying the source code. We found that more conservative use of the processor has a noticable affect on the systems battery life. We recommend developing a version of Android that uses the processor more conservatively by default to save battery life

    Optimal GPU-CPU Offloading Strategies for Deep Neural Network Training

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    International audienceTraining Deep Neural Networks is known to be an expensive operation, both in terms of computational cost and memory load. Indeed, during training, all intermediate layer outputs (called activations) computed during the forward phase must be stored until the corresponding gradient has been computed in the backward phase. These memory requirements sometimes prevent to consider larger batch sizes and deeper networks, so that they can limit both convergence speed and accuracy. Recent works have proposed to offload some of the computed forward activations from the memory of the GPU to the memory of the CPU. This requires to determine which activations should be offloaded and when these transfers from and to the memory of the GPU should take place. We prove that this problem is NP-hard in the strong sense, and we propose two heuristics based on relaxations of the problem. We perform extensive experimental evaluation on standard Deep Neural Networks. We compare the performance of our heuristics against previous approaches from the literature, showing that they achieve much better performance in a wide variety of situations

    An evaluation of the economic impact of broadband in Lincolnshire: updated final report

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    The Lincolnshire Broadband Initiative, ‘onlincolnshire’, was launched in 2003 to bring a range of broadband supply and demand stimulation activities to businesses across the county. The initiative has used £15 million of European funding, together with matched funding from Lincolnshire County Council, to support a series of significant Information and Communication Technology (ICT) interventions to provide support and financial assistance to eligible Lincolnshire businesses. The ‘onlincolnshire’ initiative has four long term strategic objectives. By 2010: • Lincolnshire will be the foremost rural County in the UK, with regards to ICT usage and skills and will have a commercial environment that embraces ICT; • The main employment sites and premises will have attracted increased and more diverse investment; • ICT will have made a major contribution to business competitiveness, expansion and diversification of the economy – measured through an increase in ICT related employment and a range of ICT based activities; • To have engaged individuals and employers in improving ICT skills to increase local competitiveness, raise the standards, participation and achievement in ICT throughout the County

    VARIATION OF DEHIDROGENASE ENZYME AKTIVITY AND DIFFERENT PEDOGENETIC DEVELOPMENT ON WEATHERED BASALTIC TOPOSEQUENCES

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    Enzymes play the most important role in the decomposition and deterioration of organic matter inthe soil. Most of the microbial activity in the soil is determined by measuring the activities of theenzymes. The aim of this study is to examine the changes in dehydrogenase enzyme activity indifferent pedological development soils formed on the same parent material, but with differentslopes, land cover and land use under semihumid climatic conditions. It was carried out on the soilformed on the basaltic parent material in different topographical positions within the Dağköy area ofEngiz district, which is located at the south of the Samsun-Bafra Highway. In this study,dehydrogenase enzyme activity was assessed in order to reveal the biological properties of the soilof the study area and it was investigated the dehydrogenase enzyme activity in terms of soilbiological property. For this aim, six soil profiles formed on weathered basaltic parent material andlocated on toposequence of north-south transect were described according to genetic horizon andclassified as Lithic Ustorthent, Vertic Haplustept, Typic Haplustept and Typic Haplustert.

    Lifestyle changes from online information are associated with discussing the information with a doctor A cross-sectional study among members of the Norwegian Diabetes Association

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    Background: The prevalence of diabetes and the use of electronic health (eHealth) are increasing. There are strong indications that lifestyle changes in a positive direction may reduce morbidity and mortality in patients with diabetes. However, little is known about the association between the use of eHealth and lifestyle changes in people with diabetes. Objective: The objective of this study was to investigate to what extent people with diabetes report lifestyle changes based on online information, and to examine associations between lifestyle changes and sociodemographic factors, health, and discussing the information with a doctor. Methods: We used email survey data obtained from 1250 members of the Norwegian Diabetes Association aged 18 to 89 years in 2018. Included in the analyses was the 847 persons who were diagnosed with diabetes themselves and had used eHealth within the previous year. We used descriptive statistics to estimate internet triggered lifestyle changes. Logistic regressions were used to estimate the associations between lifestyle changes and gender, age, education, self-rated health, and discussing the information with a doctor. Results: Lifestyle changes accomplished after online information was reported by 46.9% (397/847) of the participants. The odds for changing lifestyle was more than doubled for those who had discussed information from the internet with a doctor (OR 2.54, CI 1.90-3.40). The odds for lifestyle changes decreased with age over 60 years, and in the age group 30-39 years. Internet-triggered lifestyle changes were not associated with gender, education, or self-rated health. Conclusions: Our findings suggest that internet can play a significant role in lifestyle changes among people with diabetes. This study underlines the importance of easily available high-quality online information. Our findings also indicate that health-care professionals can play an important role in lifestyle changes additional to health-advice found on the internet

    Biocompatible 3D printed thermoplastic scaffolds for osteoblast differentiation of equine iPS cells

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    Horses, like humans, can experience bone fractures and due to their large size and need to bear weight on all limbs during the recovery period, they can be difficult to treat. Surgical techniques to improve fracture repair are improving, but to date, regenerative medicine technologies to aid fracture healing are not commonly applied in horses. We have previously demonstrated that equine induced pluripotent stem cells (iPSCs) can be differentiated into bone forming osteoblasts in 2D culture. Here we report on the use of a thermoplastic, 3D printed polymers to provide a scaffold for successful, in vitro osteoblast differentiation of equine iPSCs. The scaffolds provides a transparent, cost effect solution to allow the analysis of osteoblast differentiation using live cell imaging, immunohistochemistry and quantitative PCR. This in vitro study demonstrates the future feasibility of generating 3D bone constructs through the cell seeding of scaffolds to use in regenerative medicine strategies to work demonstrates the possibility of using cell-based therapies in combination with scaffold technologies for improving improve fracture repair in a relevant, large animal model
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