Real-Time Statistical Speech Translation

This research investigates the Statistical Machine Translation approaches to translate speech in real time automatically. Such systems can be used in a pipeline with speech recognition and synthesis software in order to produce a real-time voice communication system between foreigners. We obtained three main data sets from spoken proceedings that represent three different types of human speech. TED, Europarl, and OPUS parallel text corpora were used as the basis for training of language models, for developmental tuning and testing of the translation system. We also conducted experiments involving part of speech tagging, compound splitting, linear language model interpolation, TrueCasing and morphosyntactic analysis. We evaluated the effects of variety of data preparations on the translation results using the BLEU, NIST, METEOR and TER metrics and tried to give answer which metric is most suitable for PL-EN language pair.Comment: machine translation, polish englis

Narrative Portraiture Of American Indian Men Who Persist To Completion Of Doctoral Degrees

This qualitative study examines the lived experiences of American Indian men who have completed their doctoral degrees through the positive exploration of portraiture methodology. Semi-structured interviews are conducted with subject-actors being asked to share stories from their earliest childhood memories and educational experiences through high school and through to completion of their doctoral degrees. Using narrative analysis and transculturation theory as the framework, subject-actors stories are examined to identify emergent themes of common experiences and characteristics. These create a composite portrait of a male American Indian student who persists to completion of their doctoral degree

Lifting the US Crude Oil Export Ban: A Numerical Partial-Equilibrium Analysis

The upheaval in global crude oil markets and the boom in oil production from shale plays in North America have brought scrutiny on the export ban for crude oil in the United States. This paper examines the global flows and strategic refinery adjustments in a spatial, game-theoretic partial-equilibrium model. We consider de- tailed supply chain infrastructure with multiple crude oil qualities (supply), distinct oil products (demand), as well as specific refinery configurations and modes of transport (mid-stream). Investments in production capacity and infrastructure are endogenous. We compare two development pathways for the global oil market: one projection retaining the US export ban, and a counterfactual scenario lifting the export restrictions. Lifting the US crude ban, we find significant expansion of US sweet crude exports. In the US refinery sector, more heavy sour crude is imported and transformed. While US producers gain, the profits of US refiners decrease, due to reduced market distortions and a more efficient resource allocation. Countries importing US sweet crude benefit from higher product output, while avoiding costly refinery investments. Producers of heavy sour crude (e.g. the Middle East) are incentivised to climb up the value chain to defend their market share and maintain their dominant position

Vibrational mechanics in an optical lattice: controlling transport via potential renormalization

We demonstrate theoretically and experimentally the phenomenon of vibrational resonance in a periodic potential, using cold atoms in an optical lattice as a model system. A high-frequency (HF) drive, with frequency much larger than any characteristic frequency of the system, is applied by phase-modulating one of the lattice beams. We show that the HF drive leads to the renormalization of the potential. We used transport measurements as a probe of the potential renormalization. The very same experiments also demonstrate that transport can be controlled by the HF drive via potential renormalization.Comment: Phys. Rev. Lett., in pres

Going Further with Point Pair Features

Point Pair Features is a widely used method to detect 3D objects in point clouds, however they are prone to fail in presence of sensor noise and background clutter. We introduce novel sampling and voting schemes that significantly reduces the influence of clutter and sensor noise. Our experiments show that with our improvements, PPFs become competitive against state-of-the-art methods as it outperforms them on several objects from challenging benchmarks, at a low computational cost.Comment: Corrected post-print of manuscript accepted to the European Conference on Computer Vision (ECCV) 2016; https://link.springer.com/chapter/10.1007/978-3-319-46487-9_5

Double Compact Objects III: Gravitational Wave Detection Rates

The unprecedented range of second-generation gravitational-wave (GW) observatories calls for refining the predictions of potential sources and detection rates. The coalescence of double compact objects (DCOs)---i.e., neutron star-neutron star (NS-NS), black hole-neutron star (BH-NS), and black hole-black hole (BH-BH) binary systems---is the most promising source of GWs for these detectors. We compute detection rates of coalescing DCOs in second-generation GW detectors using the latest models for their cosmological evolution, and implementing inspiral-merger-ringdown (IMR) gravitational waveform models in our signal-to-noise ratio calculations. We find that: (1) the inclusion of the merger/ringdown portion of the signal does not significantly affect rates for NS-NS and BH-NS systems, but it boosts rates by a factor $\sim 1.5$ for BH-BH systems; (2) in almost all of our models BH-BH systems yield by far the largest rates, followed by NS-NS and BH-NS systems, respectively, and (3) a majority of the detectable BH-BH systems were formed in the early Universe in low-metallicity environments. We make predictions for the distributions of detected binaries and discuss what the first GW detections will teach us about the astrophysics underlying binary formation and evolution.Comment: published in ApJ, 19 pages, 11 figure

Определение гармонического состава тока и напряжения ферромагнитного преобразователя напряжения при симметричных режимах

A plasma focus operating in nitrogen is developed as an x-ray source for the laboratory type x-ray microscope. The radiation has to be emitted into the "water window" (2.33 nm - 4.37 nm) with a reciprocal relative bandwidth (RRB) of Lambda/Delta Lambda > 200. The nearly coinciding Lyman-Alpha line of nitrogen VII Lambda = 2.48 nm and the second resonance line of nitrogen VI at Lambda = 2.49 nm are chosen. For the use in the microscope the end on diameter of the source has to be about 200 My m with a spatial jitter below 100 My m. A prototype of the source has been examined in its spatial, temporal and spectral properties. The higher ionization cross sections of nitrogen compared to noble gases influences the start of the discharge. First experiments with Fresnel condenser zone plates (CZP) as a tool for plasma soft x-ray emission diagnostics are presented. Experimental results are compared with non LTE modeling of the collapse and pinch phase of the plasma focus

The galactic center black hole as a possible retro-lens for the S2 orbiting star

Holz & Wheeler (\cite{hw}) have recently proposed that a Schwarzschild black hole may act as a retro-lens which, if illuminated by a powerful light source, deflects light ray paths to large bending angles and a series of luminous arcs (or rings in the case of aligned objects) centered on the black hole may form. Obviously, the most convenient geometry to get retro-lensing images would be that of a very bright star close to a massive black hole, say the putative $\sim 4\times 10^6$ M$_{\odot}$ black hole at the galactic center. Recent observations of the galactic center region in the $K$-band have revealed the presence of a very bright main sequence star (labelled S2) with mass $\sim 15$ M$_{\odot}$ orbiting at close distance (130-1900 AU) from Sgr A$^*$. The relatively vicinity of S2 to the central massive black hole may offer a unique laboratory to test the formation of retro-lensing images. The next generation of space-based telescopes in the $K$-band (like NGST) may have high enough limiting magnitude necessary to observe such retro-lensing images.Comment: 4 pages, 2 Postscript figures, accepted for pubblications on Astronomy and Astrophysic

Eliminating Customer Experience Pain Points in Complex Customer Journeys through Smart Service Solutions

Scholarly understanding of customer journeys has evolved from a linear, single service provider perspective to encompass complex service delivery networks that involve multiple touchpoints governed by various service providers. This intricate setting often gives rise to experiential pain points for customers. To investigate this phenomenon within the context of airport services, our research employs critical incident and problem-centered interviews as well as an analysis of 7192 online airport reviews. In Studies 1a and 2a, we explore the crucial pain points that travelers encounter throughout their airport journey. Complementing these insights, Studies 1b and 2b assess the impact of the identified pain points on travelers' emotions. Building upon a classification of pain points into information, performance, and hospitality themes, Study 3 further examines how smart service solutions, as new technologies, can address and resolve these pain points, ultimately enhancing the customer experience (CX). By accomplishing these objectives, our work contributes a comprehensive classification scheme for experiential pain points in complex customer journeys to the academic discourse on customer journeys. Furthermore, it establishes a connection to the emerging field of research on the impact of smart service solutions on the CX