Gallery — Two-column

In this paper I demonstrate a novel design for an optoelectronic State Machine which replaces input/output forming logic found in conventional state machines with BDD based optical logic while still using solid state memory in the form of flip-flops in order to store states. This type of logic makes use of waveguides and ring resonators to create binary switches. These switches in turn can be used to create combinational logic which can be used as input/output forming logic for a state machine. Replacing conventional combinational logic with BDD based optical logic allows for a faster range of state machines that can certainly outperform conventional state machines as propagation delays within the logic described are in the order of picoseconds as opposed to nanoseconds in digital logic.

Deep learning is a fast growing field in tech that is often described to have limitless potential. This paper describes its history, why the explosion in popularity, and how it works. An example of classifying images of handwritten digits (MNIST) will be explored using a fully connected network and a convolutional neural network. Next, a brief description of the tools necessary for the reader to implement his or her own network. Finally, a view of the state of the art being developed by companies such as Google, Facebook, and Baidu.

This LaTeX tutorial will introduce LaTeX, creating a .tex file, sections, body text, tables, figures, mathematical formulas, acknowledgements, and references.

Downloaded from http://moco16.multimedia.uom.gr/index.php/papers/authors NOTE: The original template did not include a sample bibtex file

This is a template for the 2016 AES Brasil congress article. I do not own this template, nor have designed it. I just downloaded from the official website and uploaded here on overleaf

A research proposal

日本バーチャルリアリティ学会大会2016投稿用のLaTeXフォーマットです

LaTeX template for the International Journal on Magnetic Particle Imaging (IJMPI). Articles can be submitted at the journal homepage.

In this paper we propose a first version for a computational proposal for Electromagnetic Field (EMF) Pollution for the construction of calculated maps, as a visualization tool for estimating the levels of human exposure to potentially harmful levels of electromagnetic radiation. The computational model includes the necessary mathematics for estimating levels of exposure in any two dimension space point in a map, given a massive set of emitters and its relevant parameters, but also contains adjust considerations using a data set of field measures that would allow the model to adapt to real environmental conditions. This combination of mathematical model and field data also will allow us to skip the use of interpolations an other statistical methods typically used in maps based exclusively on measures. The proposal also specifies the system main features and development methodology in order to achieve an interactive and flexible tool.