Articles — University

A dissertation submitted to the Southeast University on Mad Dash Car Crash 3D Car Racing Video Games.

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Nesse artigo, propomos uma nova demonstração do Teorema de Weierstrass, usando apenas noções relativas às séries de Fourier.

AKARI and Spinning Dust: A look at microwave dust emission via the Infrared Aaron C. Bell's Master's Course Thesis ABSTRACT: Rapidly spinning dust particles having a permanent electric dipole moment have been shown to be a likely carrier of the anomalous microwave emission (AME), a continuous excess of microwave flux in the 10 to 90 GHz range. Small grains, possibly polycyclic aromatic hydrocarbons (PAHs), are a leading suspect. In the absence of a definitive answer on the presence of PAHs or their role as an AME carrier, some predictions have been made as to the implications of spinning PAH emission. Due to the overlap between the CMB and the galactic foreground, this topic is requiring cosmologists to consider the ISM with more care. ISM astronomers are also needing to consider the contribution of cosmological radiation to large-scale dust investigations. We present data from AKARI/Infrared Camera (IRC) due to the effective PAH band coverage of its 9 micron survey to investigate their role within the 98 AME candidate regions identified by Planck Collaboration et al. (2014). We supplement AKARI data with the four Infrared Astronomical Satellite (IRAS) all-sky maps and complement with the Planck High Frequency Instrument (HFI) bands at 857 and 545 GHz to constrain the full dust thermal spectral energy distribution (SED). We sample the average spectral energy distributions (SEDs) all 98 regions. We utilize all 7 AKARI photometric bands, as well as the 4 IRAS bands and 2 HFI. We carry out a modified blackbody fitting, and estimate the optical depth of thermal dust at 250 micron, and compare this to AME parameters. We also show plots of each band's average intensity for all 98 regions vs. AME parameters. We find a positive trend between the optical depth and AME. In the band-by-band comparison the AKARI 9 micron intensity shows a weaker trend with AME. In general, the MIR correlates less strongly with AME than the FIR. The optical depth vs. AME trend improves slightly when looking only at significant AME regions. Scaling the IR intensities by the ISRF strength G0 does not improve the correlations. A slightly positive trend found previously among 10 AME regions vs. AME significance is revisited, using the larger sample of 98. However the trend does not hold up to the full data set. We cannot offer strong support of a spinning dust model. The results highlight the need for full dust SED modelling, and for a better understanding of the role that magnetic dipole emission from dust grains could play in producing the AME.

Kvantno Izračunavanje(Quantum Computing) je, kao grana Prirodnog Izračunavanje(Natural Computing), jedna od najmlađih znanosti Teorijske Kompjuterske Nauke koja koristi stanje superpozicije kvantnog sistema i preplitanje(entanglement) kao gradivne elemente izračunljivosti. Zašto Kvantno Izračunavanje? Naime, već na kraju ovog rada u kome ćemo dati generalni pregled osnova Kvantnog Izračunavanja, ćemo uvidjeti velike prednosti spram klasičnog izračunavanja. Rad je struktuiran tako da uvede čitaoca u osnove ove teorije koja se u mnogome razlikuje od ostalih metoda izračunavanja. Tako ćemo najprije uvesti gradivni element informacije u Kvantom Izračunavanju(Kvantni bit), zatim ćemo se upoznati sa jednim od načina manipulacije informacije na kvantom nivou(Kvantna kola). Nakon toga prelazimo na dva primjera primjene kvantih kola pri formiranju kvantnih algoritama i na kraju ćemo navesti neke prednosti i zanimljivosti Kvantnog Izračunavanja. Čitalac će na kraju imati generalni uvid u ovu znanost i poznavati njene osnovne osobine.

We will form a proof of the Arzela-Ascoli Theorem through use of the Heine-Borel theorem. We will also be considering some notions of compactness on metric spaces. The Arzela-Ascoli Theorem then allows us to show compactness, letting us state and prove Peano's existence theorem, pertaining to the existence of the solutions of a type of ODE. Then we will state the Kolmogorov-Riesz compactness theorem, allowing us to show compactness in $L^p$ spaces, building from the Arzela-Ascoli Theorem.

There are several voice communication systems that are used nowadays which are capable of maintain voice calls between two users in real time. Telephones are widely used all around the world in an unlimited kind of situations. All of these situations expose the microphone (or microphones) of the phones to different and unpredictable noises, as street noise, sea noise, rain noise, wind noise, unwanted voices, car motors, etc. As microphones capture all the sounds around it, including the wanted voice and the unwanted noises, it is necessary to implement digital real time filters capable of attenuate as much as possible all the surrounding noises. It exists a large quantity of noise reduction methods that have been used in the calling algorithms of phones. Even if these methods have had, in general, a good performance, there is still a research being done in this area in order to improve the current results. Because of this, the multichannel methods were created (using multiple microphones) as well as new algorithms that pretend to have a better noise reduction than the single channel methods. Most of these methods require a speech presence probability (SPP) method to achieve the noise reduction. The following document presents a research about different SPP methods as well as a comparison between these. This includes an explanation on how theses algorithm work, a Matlab implementation using real voice and noise recordings and objective tests of the filter.

The purpose of this work is to outline the first steps taken towards the building of an automatic interpretation and hypothesis generation machine. The contents of this thesis describe the framework built to parse and manipulate the knowl- edge assemblies encoded in BEL, which enables BEL to act as a semantic inte- gration layer for heterogeneous data and knowledge sources, the development of a framework for automatic integration of relevant knowledge from structured sources, and the development of schema-free analytical techniques to generate data-driven hypothesis.

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