3,849 research outputs found
Measuring the Internet during Covid-19 to Evaluate Work-from-Home
The Covid-19 pandemic has radically changed our lives. Under different
circumstances, people react to it in various ways. One way is to work-from-home
since lockdown has been announced in many regions around the world. For some
places, however, we don't know if people really work from home due to the lack
of information. Since there are lots of uncertainties, it would be helpful for
us to understand what really happen in these places if we can detect the
reaction to the Covid-19 pandemic. Working from home indicates that people have
changed the way they interact with the Internet. People used to access the
Internet in the company or at school during the day. Now it is more likely that
they access the Internet at home in the daytime. Therefore, the network usage
changes in one place can be used to indicate if people in this place actually
work from home. In this work, we reuse and analyze Trinocular outages data
(around 5.1M responsive /24 blocks) over 6 months to find network usage changes
by a new designed algorithm. We apply the algorithm to sets of /24 blocks in
several cities and compare the detected network usage changes with real world
covid-19 events to verify if the algorithm can capture the changes reacting to
the Covid-19 pandemic. By applying the algorithm to all measurable /24 blocks
to detect network usages changes, we conclude that network usage can be an
indicator of the reaction to the Covid-19 pandemic
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14)
The implicit objective of the biennial "international - Traveling Workshop on
Interactions between Sparse models and Technology" (iTWIST) is to foster
collaboration between international scientific teams by disseminating ideas
through both specific oral/poster presentations and free discussions. For its
second edition, the iTWIST workshop took place in the medieval and picturesque
town of Namur in Belgium, from Wednesday August 27th till Friday August 29th,
2014. The workshop was conveniently located in "The Arsenal" building within
walking distance of both hotels and town center. iTWIST'14 has gathered about
70 international participants and has featured 9 invited talks, 10 oral
presentations, and 14 posters on the following themes, all related to the
theory, application and generalization of the "sparsity paradigm":
Sparsity-driven data sensing and processing; Union of low dimensional
subspaces; Beyond linear and convex inverse problem; Matrix/manifold/graph
sensing/processing; Blind inverse problems and dictionary learning; Sparsity
and computational neuroscience; Information theory, geometry and randomness;
Complexity/accuracy tradeoffs in numerical methods; Sparsity? What's next?;
Sparse machine learning and inference.Comment: 69 pages, 24 extended abstracts, iTWIST'14 website:
http://sites.google.com/site/itwist1
ИНТЕЛЛЕКТУАЛЬНЫЙ числовым программным ДЛЯ MIMD-компьютер
For most scientific and engineering problems simulated on computers the solving of problems of the computational mathematics with approximately given initial data constitutes an intermediate or a final stage. Basic problems of the computational mathematics include the investigating and solving of linear algebraic systems, evaluating of eigenvalues and eigenvectors of matrices, the solving of systems of non-linear equations, numerical integration of initial- value problems for systems of ordinary differential equations.Для більшості наукових та інженерних задач моделювання на ЕОМ рішення задач обчислювальної математики з наближено заданими вихідними даними складає проміжний або остаточний етап. Основні проблеми обчислювальної математики відносяться дослідження і рішення лінійних алгебраїчних систем оцінки власних значень і власних векторів матриць, рішення систем нелінійних рівнянь, чисельного інтегрування початково задач для систем звичайних диференціальних рівнянь.Для большинства научных и инженерных задач моделирования на ЭВМ решение задач вычислительной математики с приближенно заданным исходным данным составляет промежуточный или окончательный этап. Основные проблемы вычислительной математики относятся исследования и решения линейных алгебраических систем оценки собственных значений и собственных векторов матриц, решение систем нелинейных уравнений, численного интегрирования начально задач для систем обыкновенных дифференциальных уравнений
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