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The need of progress implies the need of time. Daily tasks have been automated to solve time issues but they still need the input of a user. The need for interaction with different applications may endanger the user's life. The simplest way for these automatizations to be “life-saving” is to fully support speech recognition. Although, right now, this is done in an acceptable manner, the main problem...
This paper presents a universal control system that can be used for control of small tasks. In general the electronic automated systems are designed by specialized engineers and are dedicated to each task they have to automate. This paper presents the concept of a universal control system for automation of small tasks. The system has two device types, a master device and multiple slave devices. The...
In this paper we focus on the extraction and analysis of long-term satellite image time series, and on applications in urban development monitoring. A Satellite Image Time Series (SITS) comprised of more than 100 data sets, covering a time span of over 25 years is extracted from the current Landsat data archives, Then we create stacks of intra-annual images, which are analyzed by applying a series...
In this paper we perform land cover classification using hyperspectral data acquired by the EO-1 Hyperion spaceborne platform using Latent Dirichlet Allocation text modeling tool, experiments being carried on a Hyperion data scene acquired on 13 May 2011, covering an agricultural area located east of Bucharest, Romania.
This article shares my experience as a student in working with sumo robots and it describes the building procedure and some important fact about its components as well as some tips and tricks to make some improvements over the classical way of building small robots.
In this paper we propose a new method for unsupervised data model discovery in hyperspectral data, by adopting the Latent Dirichlet Allocation (LDA) text modeling tool. The proposed method relies on defining a representation of hyperspectral data that allows LDA analysis, by defining a correspondence between hyperspectral profiles and visual words. As such, we can use Latent Dirichlet Allocation as...
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