366 research outputs found
Completeness of a first-order temporal logic with time-gaps
The first-order temporal logics with □ and ○ of time structures isomorphic to ω (discrete linear time) and trees of ω-segments (linear time with branching gaps) and some of its fragments are compared: the first is not recursively axiomatizable. For the second, a cut-free complete sequent calculus is given, and from this, a resolution system is derived by the method of Maslov
Incompleteness of a first-order Gödel logic and some temporal logics of programs
It is shown that the infinite-valued first-order Gödel logic G° based on the set of truth values {1/k: k ε w {0}} U {0} is not r.e. The logic G° is the same as that obtained from the Kripke semantics for first-order intuitionistic logic with constant domains and where the order structure of the model is linear. From this, the unaxiomatizability of Kröger's temporal logic of programs (even of the fragment without the nexttime operator O) and of the authors' temporal logic of linear discrete time with gaps follows
Vocal duetting behaviour in a neotropical wren: Insights into paternity guarding and parental commitment
In many tropical animals, male and female breeding partners combine their vocalizations to produce elaborate vocal duets. Although duets are produced by diverse animal taxa, the functions of these coordinated vocalizations remain poorly understood. In this thesis, I explored the ecology and evolution of vocal duetting behaviour by testing two poorly-studied hypotheses for duet function in a Neotropical duetting songbird, the Rufous-and-white Wren (Thryophilus rufalbus). The Paternity Guarding Hypothesis states that male animals create duets with their females to guard against other males seeking mating opportunities. I used a playback experiment to test this hypothesis by first simulating an intrusion from a rival male, and then simulating a subject males breeding partner to give him opportunities to create duets with his female during both the fertile and non-fertile periods. Consistent with predictions of the Paternity Guarding Hypothesis, males created more duets with their partners during the fertile period compared to the non-fertile period, suggesting that they used duets to acoustically protect their parentage. The Signalling Commitment Hypothesis states that singing duets with a partner signals willingness or ability to invest effort into a monogamous partnership. I tested this hypothesis by investigating the relationship between duetting behaviour and future parental investment. I found no evidence of a positive relationship between male or female duetting behaviour and future investment in nest-building or nestling-provisioning, and therefore my data provide no support for the Signalling Commitment Hypothesis. My research provides new insight into the evolution and functions of vocal duets in tropical animals, revealing that duets play an important role in paternity guarding, but do not signal future parental commitment in Rufous-and-white Wrens
Military Resource Allocation as a Set Covering Problem
Fixed location resource allocation modeled as a set covering problem is a classic integer program. This framework has been widely applied to emergency service resource allocation, and this paper extends this approach to military resource allocation. Using military air medical evacuation resource allocation in Afghanistan as a proof of concept, a methodology is presented that could easily extend to other operational environments and other military resource allocation problems. Unique contributions include clustering of enemy activity reports to support demand signal analysis and consideration of set covering requirements for varying demand signal density
Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks
Leveraging new data sources is a key step in accelerating the pace of
materials design and discovery. To complement the strides in synthesis planning
driven by historical, experimental, and computed data, we present an automated
method for connecting scientific literature to synthesis insights. Starting
from natural language text, we apply word embeddings from language models,
which are fed into a named entity recognition model, upon which a conditional
variational autoencoder is trained to generate syntheses for arbitrary
materials. We show the potential of this technique by predicting precursors for
two perovskite materials, using only training data published over a decade
prior to their first reported syntheses. We demonstrate that the model learns
representations of materials corresponding to synthesis-related properties, and
that the model's behavior complements existing thermodynamic knowledge.
Finally, we apply the model to perform synthesizability screening for proposed
novel perovskite compounds.Comment: Added new funding support to the acknowledgments section in this
versio
Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning
Multi-task neural network architectures provide a mechanism that jointly
integrates information from distinct sources. It is ideal in the context of
MR-only radiotherapy planning as it can jointly regress a synthetic CT (synCT)
scan and segment organs-at-risk (OAR) from MRI. We propose a probabilistic
multi-task network that estimates: 1) intrinsic uncertainty through a
heteroscedastic noise model for spatially-adaptive task loss weighting and 2)
parameter uncertainty through approximate Bayesian inference. This allows
sampling of multiple segmentations and synCTs that share their network
representation. We test our model on prostate cancer scans and show that it
produces more accurate and consistent synCTs with a better estimation in the
variance of the errors, state of the art results in OAR segmentation and a
methodology for quality assurance in radiotherapy treatment planning.Comment: Early-accept at MICCAI 2018, 8 pages, 4 figure
In-situ real-time monitoring of spurious modes in HE transmission lines using multi-hole couplers in miter bends
Transmission of high-power millimeter waves for ECRH is often realised with oversized corrugated circular waveguides. Coupling from the gyrotron source to the waveguide is typically done via matching mirrors in free space. Small alignment errors of the system lead to the excitation of higher-order modes inside the waveguide beside the main transmission mode HE. Tose modes have comparably higher losses and can in worst case result in local fields exceeding the breakdown limit of the medium inside the waveguide.
For alignment control over the whole pulse duration of the gyrotron, a set of hole-array couplers placed into a miter bend mirror probes the field inside the waveguide. The arrays are designed to detect the marker modes for beam offset and tilt (LP) as well as for beam waist mismatch (LP). In addition, a main mode coupler sensitive mostly for the HE content is used as a power monitor. By maximizing the signal of the power monitor and minimizing the content of marker modes, a first-order optimization of the coupling from free space to the waveguide can be achieved. Signal processing of the 140 GHz information is done at kHz range after downmixing, using a frequency shifted part of the power monitor signal.
As the measurement system is placed in a miter bend mirror, it can also be easily installed at various locations along the transmission line to check for possible misalignments of the waveguide connections between miter bends. Simulation and low power experimental results will be shown
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