3,645 research outputs found
A Symbian-based mobile solution for intra-body temperature monitoring
Copyright © [2010] IEEE. Reprinted from 12th IEEE International Conference on e-Health Networking, Applications and Services . ISBN: 978-1-4244-6374-9. This material is posted here with permission of the IEEE. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.”Biofeedback data acquisition is an extremely
important task in body sensor networks (BSNs). Data collected
by sensors need to be processed in order to be shown in an easy
and meaningful way for the user. The use of mobile devices may
support and offer new user experiences. When connected to a
BSN they can aggregate and process data collected by each
sensor, providing a mobile solution for a healthcare system. This
mobility offers a better patients' quality of life allowing a regular
daily routine and always under monitoring. This paper proposes
a Symbian-based mobile solution for intra-body temperature
monitoring. Mobile device connects wirelessly to an intra-vaginal
temperature sensor and interacts with sensor for temperature
data collection and monitoring. This system helps women to
detect their fertile and ovulation periods by the increasing of
their intra-vaginal temperature. The mobile system was tested
and validated with success and it is available for regular use
Multicore development environment for embedded processor in arduino IDE
Internet of things (IoT) technology has found more applications that require complex computation while still preserving power. Embedded processors as the core of the IoT system approaches the need for computation by employing a parallel processor system, namely MPSoC. While various MPSoCs hardware is widely available, there is limited software support form of user-friendly libraries and development platform. There is a need for such a platform to facilitate both the study and development of parallel embedded software. arduino as the widely used embedded development platform is yet to officially support multicore programming. This work proposes an arduino-based development environment that supports multicore programming while maintaining arduino’s simple program structure, targeted at specific low-power MPSoC, the RUMPS401. The environment is fully functional, and while it targets only specific MPSoC, the proposed environment can easily be adopted to other MPSoCs with similar structures with minimal modification
Interactive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis
Interactive massively parallel computations are critical for machine learning
and data analysis. These computations are a staple of the MIT Lincoln
Laboratory Supercomputing Center (LLSC) and has required the LLSC to develop
unique interactive supercomputing capabilities. Scaling interactive machine
learning frameworks, such as TensorFlow, and data analysis environments, such
as MATLAB/Octave, to tens of thousands of cores presents many technical
challenges - in particular, rapidly dispatching many tasks through a scheduler,
such as Slurm, and starting many instances of applications with thousands of
dependencies. Careful tuning of launches and prepositioning of applications
overcome these challenges and allow the launching of thousands of tasks in
seconds on a 40,000-core supercomputer. Specifically, this work demonstrates
launching 32,000 TensorFlow processes in 4 seconds and launching 262,000 Octave
processes in 40 seconds. These capabilities allow researchers to rapidly
explore novel machine learning architecture and data analysis algorithms.Comment: 6 pages, 7 figures, IEEE High Performance Extreme Computing
Conference 201
Research and Development Workstation Environment: the new class of Current Research Information Systems
Against the backdrop of the development of modern technologies in the field
of scientific research the new class of Current Research Information Systems
(CRIS) and related intelligent information technologies has arisen. It was
called - Research and Development Workstation Environment (RDWE) - the
comprehensive problem-oriented information systems for scientific research and
development lifecycle support. The given paper describes design and development
fundamentals of the RDWE class systems. The RDWE class system's generalized
information model is represented in the article as a three-tuple composite web
service that include: a set of atomic web services, each of them can be
designed and developed as a microservice or a desktop application, that allows
them to be used as an independent software separately; a set of functions, the
functional filling-up of the Research and Development Workstation Environment;
a subset of atomic web services that are required to implement function of
composite web service. In accordance with the fundamental information model of
the RDWE class the system for supporting research in the field of ontology
engineering - the automated building of applied ontology in an arbitrary domain
area, scientific and technical creativity - the automated preparation of
application documents for patenting inventions in Ukraine was developed. It was
called - Personal Research Information System. A distinctive feature of such
systems is the possibility of their problematic orientation to various types of
scientific activities by combining on a variety of functional services and
adding new ones within the cloud integrated environment. The main results of
our work are focused on enhancing the effectiveness of the scientist's research
and development lifecycle in the arbitrary domain area.Comment: In English, 13 pages, 1 figure, 1 table, added references in Russian.
Published. Prepared for special issue (UkrPROG 2018 conference) of the
scientific journal "Problems of programming" (Founder: National Academy of
Sciences of Ukraine, Institute of Software Systems of NAS Ukraine
Using New Technologies to Learn Programming Languages
Current eLearning systems are increasingly used by both students and professors, considering the various facilities they offer. In the field of computer science, these eLearning platforms need to provide integrated program editors with facilities for compiling and running them. We propose a creative architecture of an eLearning system for Python which comes with new facilities related to the possibility to create content (lessons, exercises, content, and tests) inside of this platform. Thus, the professors can fully prepare their lessons and homework on our CSP (computer science platform) platform via the web interface. Similarly, the students can access this content via the platform and can solve their homework in this special space. Depending on the number of users the allocated resources dynamically change in order to ensure the proper functioning of the application, trying to keep lower operative costs
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