7,110 research outputs found
Approximate Message Passing-based Compressed Sensing Reconstruction with Generalized Elastic Net Prior
In this paper, we study the compressed sensing reconstruction problem with generalized elastic net prior (GENP), where a sparse signal is sampled via a noisy underdetermined linear observation system, and an additional initial estimation of the signal (the GENP) is available during the reconstruction. We first incorporate the GENP into the LASSO and the approximate message passing (AMP) frameworks, denoted by GENP-LASSO and GENP-AMP respectively. We then focus on GENP-AMP and investigate its parameter selection, state evolution, and noise-sensitivity analysis. A practical parameterless version of the GENP-AMP is also developed, which does not need to know the sparsity of the unknown signal and the variance of the GENP. Simulation results with 1-D data and two different imaging applications are presented to demonstrate the efficiency of the proposed schemes
Memory bites and games - environmental and mental elements affect brain health for elderly
This bachelor’s thesis is part of the Research and Development (R&D) project “Memory Bites and Games” at Lahti University of Applied Sciences. The aim of that project is to develop a new social game application which can be web-based or/and mobile based. The function of the application is helping to train and maintain brain health, to identify early signs of cognitive malfunction or impairment.
The purpose: This literature review is to find out what are the mental, environmental elements which have affected on the development of brain diseases and how these aspects should be taken into account in preventing them.
The method: Data was collected through systematic database search. The study consisted of international studies and articles were selected by peer reviewed. A qualitative literature review was used as the research method, inductive content analysis was used for data analysis.
The findings: From environmental perspective, there are six factors containing lifestyle, residency, social networks, games, radiation and pollution were found to affect elder adult’s brain health. From mental perspective, five factors including lifestyle, social status, medical intervention, disease and art were found to dedicate to the quality of brain health of elderly people.
In conclusion: The literature review is involved in environmental and mental elements which effect brain health of elderly people, the follow-up study about physical and cognitive elements effecting brain health is recommended in future.Tämä opinnäytetyö on osa tutkimus ja kehitys projektia " Muistin Puraisut ja Pelit " Lahden ammattikorkeakoulussa. Kyseisen projektin tavoitteena on kehittää uusi sosiaalinen pelisovellus joka voi olla selain ja/tai kännykkä pohjainen sovellus. Ohjelman tarkoituksena on auttaa harjoittelemaan, ylläpitämänä aivojen kuntoa ja tunnistamaan varhaisia merkkejä kognitiivisestä heikentymisestä tai vajaatoiminnasta.
Tarkoitus: Tämä kirjallisuuskatsaus selvittää mitkä ovat psyykkisiä ja ympäristöllisiä tekijöitä, jotka vaikuttavat aivosairauksien kehittymiseen ja mitenkä nämä pitäisi huomioida niiden ehkäisemiseksi.
Menetelmä: Tiedot kerättiin systemaattisesti etsimällä tietokannasta. Tutkimus sisälti kansainvälisiä tutkimuksia ja artikkeleita, jotka valittiin Melinda, Masto-finna, Academic search elite (EBSCO), Medic ja PubMed tietokannoista. Kuvaistavaa kirjallisuuskatsomusta käytettiin aineiston lähteenä ja määrällistä sisällön analyysia käytettiin analysoinnissa.
Havainnot: Ympäristöllisesti on kuusi tekijää. Elämäntapa, asuinpaikka, sosiaaliset verkostot, pelit, säteily ja saaste havaittiin vaikuttavan vanhuksen aivojen terveyteen. Psyykkisiä tekijöitä oli viisi tekijää. elämäntavat, sosiaalinen asema, lääkinnällinen apu, taudit ja taide havaittiin vaikuttavan vanhusten aivoterveyteen.
Yhteenveto: Kirjallisuuskatsauksessa liittyvät ympäristöllisiin ja psyykkisiin tekijöihin jotka vaikuttavat vanhusten aivojen terveyteen. Jatkotutkimus fyysisestä ja kognitiiviststa tekijöistä, jotka vaikuttavat aivojen terveyteen on suositeltavaa tulevaisuudessa.
LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence
The message passing-based graph neural networks (GNNs) have achieved great
success in many real-world applications. However, training GNNs on large-scale
graphs suffers from the well-known neighbor explosion problem, i.e., the
exponentially increasing dependencies of nodes with the number of message
passing layers. Subgraph-wise sampling methods -- a promising class of
mini-batch training techniques -- discard messages outside the mini-batches in
backward passes to avoid the neighbor explosion problem at the expense of
gradient estimation accuracy. This poses significant challenges to their
convergence analysis and convergence speeds, which seriously limits their
reliable real-world applications. To address this challenge, we propose a novel
subgraph-wise sampling method with a convergence guarantee, namely Local
Message Compensation (LMC). To the best of our knowledge, LMC is the {\it
first} subgraph-wise sampling method with provable convergence. The key idea of
LMC is to retrieve the discarded messages in backward passes based on a message
passing formulation of backward passes. By efficient and effective
compensations for the discarded messages in both forward and backward passes,
LMC computes accurate mini-batch gradients and thus accelerates convergence. We
further show that LMC converges to first-order stationary points of GNNs.
Experiments on large-scale benchmark tasks demonstrate that LMC significantly
outperforms state-of-the-art subgraph-wise sampling methods in terms of
efficiency
Graded extensions in K[Q, sigma]
Let V be a total valuation ring of a division ring K, Q be the additive group
of the rational numbers, Aut(K) be the group of automorphisms of K. Let sigma
be a group homomorphism from Q to Aut(K). Let K[Q, sigma ] be the skew group
ring of Q over K. In this paper, we classify graded extensions of V in K[Q,
sigma] into two types and study the structure of them
Multi-microjoule GaSe-based mid-infrared optical parametric amplifier with an ultra-broad idler spectrum covering 4.2-16 {\mu}m
We report a multi-microjoule, ultra-broadband mid-infrared optical parametric
amplifier based on a GaSe nonlinear crystal pumped at ~2 {\mu}m. The generated
idler pulse has a flat spectrum spanning from 4.5 to 13.3 {\mu}m at -3 dB and
4.2 to 16 {\mu}m in the full spectral range, with a central wavelength of 8.8
{\mu}m. The proposed scheme supports a sub-cycle Fourier-transform-limited
pulse width. A (2+1)-dimensional numerical simulation is employed to reproduce
the obtained idler spectrum. To our best knowledge, this is the broadest -3 dB
spectrum ever obtained by optical parametric amplifiers in this spectral
region. The idler pulse energy is ~3.4 {\mu}J with a conversion efficiency of
~2% from the ~2 {\mu}m pump to the idler pulse.Comment: 5 pages, 5 figure
Quantum Cloning Machines and the Applications
No-cloning theorem is fundamental for quantum mechanics and for quantum
information science that states an unknown quantum state cannot be cloned
perfectly. However, we can try to clone a quantum state approximately with the
optimal fidelity, or instead, we can try to clone it perfectly with the largest
probability. Thus various quantum cloning machines have been designed for
different quantum information protocols. Specifically, quantum cloning machines
can be designed to analyze the security of quantum key distribution protocols
such as BB84 protocol, six-state protocol, B92 protocol and their
generalizations. Some well-known quantum cloning machines include universal
quantum cloning machine, phase-covariant cloning machine, the asymmetric
quantum cloning machine and the probabilistic quantum cloning machine etc. In
the past years, much progress has been made in studying quantum cloning
machines and their applications and implementations, both theoretically and
experimentally. In this review, we will give a complete description of those
important developments about quantum cloning and some related topics. On the
other hand, this review is self-consistent, and in particular, we try to
present some detailed formulations so that further study can be taken based on
those results.Comment: 98 pages, 12 figures, 400+ references. Physics Reports (published
online
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