686 research outputs found
Biografo: An integrated tool for forensic writer identification
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-20125-2_17The design and performance of a practical integrated tool for writer identification in forensic scenarios is presented. The tool has been designed to help forensic examiners along the complete identification process: from the data acquisition to the recognition itself, as well as with the management of large writer-related databases. The application has been implemented using JavaScript running over a relational database which provides the whole system with some very desirable and unique characteristics such as the possibility to perform all type of queries (e.g., find individuals with some very discriminative character, find a specific document, display all the samples corresponding to one writer, etc.), or a complete control over the set of parameters we want to use in a specific recognition task (e.g., users in the database to be used as control set, set of characters to be used in the identification, size of the ranked list we want as final result, etc.). The identification performance of the tool is evaluated on a real-case forensic database showing some very promising results.This work has been partially supported by the Spanish Dirección General de la Guardia Civil, and projects Contexts (S2009/TIC-1485) from CAM, Bio-Challenge (TEC2009-11186) from Spanish MICINN, BBfor2 (ITN-2008-238803) from the European Commision, and Cátedra UAM-Telefónica
Intramolecular vibrational energy redistribution as state space diffusion: Classical-quantum correspondence
We study the intramolecular vibrational energy redistribution (IVR) dynamics
of an effective spectroscopic Hamiltonian describing the four coupled high
frequency modes of CDBrClF. The IVR dynamics ensuing from nearly isoenergetic
zeroth-order states, an edge (overtone) and an interior (combination) state, is
studied from a state space diffusion perspective. A wavelet based
time-frequency analysis reveals an inhomogeneous phase space due to the
trapping of classical trajectories. Consequently the interior state has a
smaller effective IVR dimension as compared to the edge state.Comment: 5 pages, 3 figure
Bichromatically driven double well: parametric perspective of the strong-field control landscape reveals the influence of chaotic states
The aim of this work is to understand the influence of chaotic states in
control problems involving strong fields. Towards this end, we numerically
construct and study the strong field control landscape of a bichromatically
driven double well. A novel measure based on correlating the overlap
intensities between Floquet states and an initial phase space coherent state
with the parametric motion of the quasienergies is used to construct and
interpret the landscape features. "Walls" of no control, robust under
variations of the relative phase between the fields, are seen on the control
landscape and associated with multilevel interactions involving chaotic Floquet
states.Comment: 9 pages and 6 figures. Rewritten and expanded version of
arXiv:0707.4547 [nlin.CD]. Accepted for publication in J. Chem. Phys. (2008
Convincing different risk characteristic individuals to provide their solar panel electricity generation to the electricity grid
Abstract. Solar availability in Finland is abundant but the effective use by the public is minimal. This thesis is to go forth and explain the benefits of solar energy but also demonstrate the financial prospects for this venture. Due to the plethora of options of this subject can be explored, this thesis paper will observe individual’s decisions with different risk characteristics. The decisions made by the different risk characteristics will be explained and how to motivate them to follow through a certain decision will be discussed. This will be done through theories and data that serve to enhance the decision making of these individuals.
An insight to some theories used is Choice theory, Game Theory, and Contract theory. These theories have been explored in different research papers separately and have done with extensive research. Taking from those examples and combing them in this thesis gives a better understanding into the decision making of an individual. Previous research papers are key as the knowledge gained will become the backbone of this thesis paper.
The point of this master thesis is to not provide a critical analysis on previous research papers but, to aid the progression of solar energy in Finland and suggest a potential solution that is found in these theories and data. This solution can help to increase the activity of solar panel as this type of energy is qualified for a pareto improvement.
Solar energy can play a crucial role in Finland, and it starts with the individual
Local phase space control and interplay of classical and quantum effects in dissociation of a driven Morse oscillator
This work explores the possibility of controlling the dissociation of a
monochromatically driven one-dimensional Morse oscillator by recreating
barriers, in the form of invariant tori with irrational winding ratios, at
specific locations in the phase space. The control algorithm proposed by Huang
{\it et al.} (Phys. Rev. A {\bf 74}, 053408 (2006)) is used to obtain an
analytic expression for the control field. We show that the control term,
approximated as an additional weaker field, is efficient in recreating the
desired tori and suppresses the classical as well as the quantum dissociation.
However, in the case when the field frequency is tuned close to a two-photon
resonance the local barriers are not effective in suppressing the dissociation.
We establish that in the on-resonant case quantum dissociation primarily occurs
via resonance-assisted tunneling and controlling the quantum dynamics requires
a local perturbation of the specific nonlinear resonance in the underlying
phase space.Comment: 12 pages, 6 figures (reduced quality), submitted to Phys. Rev.
Polar molecule reactive collisions in quasi-1D systems
We study polar molecule scattering in quasi-one-dimensional geometries.
Elastic and reactive collision rates are computed as a function of collision
energy and electric dipole moment for different confinement strengths. The
numerical results are interpreted in terms of first order scattering and of
adiabatic models. Universal dipolar scattering is also discussed. Our results
are relevant to experiments where control of the collision dynamics through one
dimensional confinement and an applied electric field is envisioned.Comment: 25 pages, 13 figure
Identifying collateral and synthetic lethal vulnerabilities within the DNA-damage response.
BackgroundA pair of genes is defined as synthetically lethal if defects on both cause the death of the cell but a defect in only one of the two is compatible with cell viability. Ideally, if A and B are two synthetic lethal genes, inhibiting B should kill cancer cells with a defect on A, and should have no effects on normal cells. Thus, synthetic lethality can be exploited for highly selective cancer therapies, which need to exploit differences between normal and cancer cells.ResultsIn this paper, we present a new method for predicting synthetic lethal (SL) gene pairs. As neighbouring genes in the genome have highly correlated profiles of copy number variations (CNAs), our method clusters proximal genes with a similar CNA profile, then predicts mutually exclusive group pairs, and finally identifies the SL gene pairs within each group pairs. For mutual-exclusion testing we use a graph-based method which takes into account the mutation frequencies of different subjects and genes. We use two different methods for selecting the pair of SL genes; the first is based on the gene essentiality measured in various conditions by means of the "Gene Activity Ranking Profile" GARP score; the second leverages the annotations of gene to biological pathways.ConclusionsThis method is unique among current SL prediction approaches, it reduces false-positive SL predictions compared to previous methods, and it allows establishing explicit collateral lethality relationship of gene pairs within mutually exclusive group pairs
Analyzing intramolecular vibrational energy redistribution via the overlap intensity-level velocity correlator
Numerous experimental and theoretical studies have established that
intramolecular vibrational energy redistribution (IVR) in isolated molecules
has a heirarchical tier structure. The tier structure implies strong
correlations between the energy level motions of a quantum system and its
intensity-weighted spectrum. A measure, which explicitly accounts for this
correaltion, was first introduced by one of us as a sensitive probe of phase
space localization. It correlates eigenlevel velocities with the overlap
intensities between the eigenstates and some localized state of interest. A
semiclassical theory for the correlation is developed for systems that are
classically integrable and complements earlier work focusing exclusively on the
chaotic case. Application to a model two dimensional effective spectroscopic
Hamiltonian shows that the correlation measure can provide information about
the terms in the molecular Hamiltonian which play an important role in an
energy range of interest and the character of the dynamics. Moreover, the
correlation function is capable of highlighting relevant phase space structures
including the local resonance features associated with a specific bright state.
In addition to being ideally suited for multidimensional systems with a large
density of states, the measure can also be used to gain insights into the phase
space transport and localization. It is argued that the overlap intensity-level
velocity correlation function provides a novel way of studying vibrational
energy redistribution in isolated molecules. The correlation function is
ideally suited to analyzing the parametric spectra of molecules in external
fields.Comment: 16 pages, 13 figures (low resolution
A Diagram Is Worth A Dozen Images
Diagrams are common tools for representing complex concepts, relationships
and events, often when it would be difficult to portray the same information
with natural images. Understanding natural images has been extensively studied
in computer vision, while diagram understanding has received little attention.
In this paper, we study the problem of diagram interpretation and reasoning,
the challenging task of identifying the structure of a diagram and the
semantics of its constituents and their relationships. We introduce Diagram
Parse Graphs (DPG) as our representation to model the structure of diagrams. We
define syntactic parsing of diagrams as learning to infer DPGs for diagrams and
study semantic interpretation and reasoning of diagrams in the context of
diagram question answering. We devise an LSTM-based method for syntactic
parsing of diagrams and introduce a DPG-based attention model for diagram
question answering. We compile a new dataset of diagrams with exhaustive
annotations of constituents and relationships for over 5,000 diagrams and
15,000 questions and answers. Our results show the significance of our models
for syntactic parsing and question answering in diagrams using DPGs
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