8,087 research outputs found
International conference on computational science, ICCS 2010 data-driven pill monitoring
AbstractWe describe a viable dynamic system to guarantee that pills delivered to a patient are what were prescribed, of sucient quality to be eective, and within the correct time frame. A handheld device that identifies pills is also described that is suitable for use by health care providers. Issues of patient privacy, network security, and interacting with multiple databases are inherent to the entire process
Analysis of Computational Science Papers from ICCS 2001-2016 using Topic Modeling and Graph Theory
This paper presents results of topic modeling and network models of topics
using the International Conference on Computational Science corpus, which
contains domain-specific (computational science) papers over sixteen years (a
total of 5695 papers). We discuss topical structures of International
Conference on Computational Science, how these topics evolve over time in
response to the topicality of various problems, technologies and methods, and
how all these topics relate to one another. This analysis illustrates
multidisciplinary research and collaborations among scientific communities, by
constructing static and dynamic networks from the topic modeling results and
the keywords of authors. The results of this study give insights about the past
and future trends of core discussion topics in computational science. We used
the Non-negative Matrix Factorization topic modeling algorithm to discover
topics and labeled and grouped results hierarchically.Comment: Accepted by International Conference on Computational Science (ICCS)
2017 which will be held in Zurich, Switzerland from June 11-June 1
Teaching Data Science
We describe an introductory data science course, entitled Introduction to
Data Science, offered at the University of Illinois at Urbana-Champaign. The
course introduced general programming concepts by using the Python programming
language with an emphasis on data preparation, processing, and presentation.
The course had no prerequisites, and students were not expected to have any
programming experience. This introductory course was designed to cover a wide
range of topics, from the nature of data, to storage, to visualization, to
probability and statistical analysis, to cloud and high performance computing,
without becoming overly focused on any one subject. We conclude this article
with a discussion of lessons learned and our plans to develop new data science
courses.Comment: 10 pages, 4 figures, International Conference on Computational
Science (ICCS 2016
Unveiling User Behavior on Summit Login Nodes as a User
We observe and analyze usage of the login nodes of the leadership class
Summit supercomputer from the perspective of an ordinary user -- not a system
administrator -- by periodically sampling user activities (job queues, running
processes, etc.) for two full years (2020-2021). Our findings unveil key usage
patterns that evidence misuse of the system, including gaming the policies,
impairing I/O performance, and using login nodes as a sole computing resource.
Our analysis highlights observed patterns for the execution of complex
computations (workflows), which are key for processing large-scale
applications.Comment: International Conference on Computational Science (ICCS), 202
High Performance Computations for Decision Support in Critical Situations: Introduction to the Third Workshop on Urgent Computing
AbstractThis paper is the preface to the Third Workshop on Urgent Computing.The Urgent Computing workshops have been traditionally embedded in frame of International Conference of Computational Science (ICCS) since 2012. They are aimed to develop a dialogue on the present and future ofresearch and applications associated with the large-scale computations for decision support in critical situations. The key workshop topics in 2014 are: methods and principles of urgent computing, middleware, platforms and infrastructures, simulation-based decision support for complex systems control, interactive visualization and virtual reality for decision support in emergency situations, domain-area applications to emergency situations, including natural and man-made disasters, e.g.transportation problems, epidemics, criminal acts, etc
- …