1,721,083 research outputs found
Sistema di posizionamento geo-spaziale cooperativo operante con sistemi di navigazione globale satellitare e reti di telecomunicazione wireless, relativo procedimento e apparato di posizionamento geo-spaziale
No full text
The Growing Window Algorithm: a Sub-Optimal Strategy for Image Irregular Samples Selection
No full textThe new algorithm proposed in this paper is a novel method for sample selection based on a quasi-random search
within an image. As far as the general sampling problem is concerned, a brief introduction on the well-known
sampling algorithm is presented in order to introduce the most important parameters to be taken into account for
the performances evaluation of the novel method here proposed. Then, the Growing Window Irregular Selection
is described following few steps: obviously, the purpose of this irregular sampling strategy is to increase the
sample density in the zones of strong luminance variance of the image. On the contrary, in zones with no
variation almost no sample are allocated. Several tests have been performed on different images (e.g. geophysical
and medical) and interesting results have been outlined
Sulle orme del consumatore affinity analysis e knowledge visualization per il processo decisionale
Full text linkL’articolo analizza i reali comportamenti di acquisto dell’acquirente all’interno del punto vendita e individua i pattern latenti più significativi attraverso un’analisi di affinità di 128.364 scontrini estratti da un dataset di 715.662 transazioni effettuate in un anno. Lo studio individua le strutture associative più ricorrenti relativamente alla singola merceologia. Attraverso la tecnica della Market Basket Analysis è stato possibile individuare le categorie merceologiche che creano “poli d’attrazione” sul punto vendita stimolando acquisti di altre categorie. In particolar modo, applicando le regole associative sul punto vendita è stato possibile identificare le “aree calde” e le “aree fredde”. L’articolo evidenzia quindi alcune riflessioni sulle strategie che possono adottare gli store manager
ABBIE: Attention-Based BI-Encoders for Predicting Where to Split Compound Sanskrit Words
No full textSanskrit is a highly composite language, morphologically and phonetically complex. One of the major challenges in processing Sanskrit is the splitting of compound words that are merged phonetically. Recognizing the exact location of splits in a compound word is difficult since several possible splits can be found, but only a few of them are semantically meaningful. This paper proposes a novel deep learning method that uses two bi-encoders and a multi-head attention module to predict the valid split location in Sanskrit compound words. The two bi-encoders process the input sequence in direct and reverse order respectively. The model learns the character-level context in which the splitting occurs by exploiting the correlation between the direct and reverse dynamics of the characters sequence. The results of the proposed model are compared with a stateof-the-art technique that adopts a bidirectional recurrent network to solve the same task. Experimental results show that the proposed model correctly identifies where the compound word should be split into its components in 89.27% of cases, outperforming the state-of-the-art technique. The paper also proposes a dataset developed from the repository of the Digital Corpus of Sanskrit (DCS) and the University of Hyderabad (UoH) corpus
Phase lock loop false lock avoidance in presence of global navigation satellite system signal
No full textIn this paper we analyse the operation of a fully digital Phase Lock Loop (PLL) in a false lock regime, using real data. The issue has been noticed while we were testing performance of our software receiver in
a moving user scenario. While the phenomenon of false lock has been described in other papers about PLLs, our intent is to describe a practical, and in our opinion interesting, issue we encountered and how we got over
it
A new peer-to-peer aided acquisition approach exploiting C/N0 aiding
Full text linkThe aim of this paper is to present an acquisition strategy for Global Navigation Satellite System (GNSS) signals exploiting aiding information provided by GNSS receivers in a Peer-to-Peer (P2P) positioning system. This work sheds light on the benefits of sharing information regarding the received satellite signal power: the Carrier-to-Noise density ratio (C/N0) estimated by aiding peers relatively close to each other, is used to optimize signal acquisition capability in terms of detection performance as well as Mean Acquisition Time (MAT). The proposed approach has been validated and assessed using real data collected with an experimental setup in light indoor conditions and by means of simulations. The performance obtained has also been compared with an Assisted-GNSS (A-GNSS) like acquisition strategy, showing the benefits of the availability of C/N0 aiding information in terms of MAT. ©2010 IEEE
Emptying and Filling. Maps of Inland Africa
No full textThe chapter intends to reflect on the transformation of blank spaces into mapped places, within the process of colonial appropriation of Africa. With respect to an inland area very far from the coast and isolated, two cartographic documents—created almost a century apart: 1827 and 1924—enabled us to observe the transition from blank space to a topographic survey. The first cartographic document consists of two sheets from the Atlas Universel published by Vandermaelen; the second one is the topographic survey drawn by two Commissions—working jointly from 1922-1923—to define the colonial border between French Equatorial Africa and Anglo-Egyptian Sudan. The large blank spaces in the Atlas Universel are filled with the meticulous work of colonial cartographers. The territorial knowledge of the inhabitants was considered unreliable by the Commissioners, basically for racist motives. A carto-humanistic approach highlights the heavy colonial legacy of mapping on the continent, with the view of going beyond the darkness of this long night of domination and submission
A software receiver phase lock loop analysis and design to implement adaptive phase tracking using a finite impulse response loop filter
No full textIn this paper we analyze the design of a digital Phase Lock Loop (PLL) for a Global Navigation Satellite System (GNSS) software receiver. Even if the topic of phase tracking has been widely studied, we found it useful to provide a short walkthrough for the design of a PLL in a real software receiver, avoiding to introduce the common theoretical phase-based model and aiming to the practical implementation of a system that deals with frequencies. Nonetheless, our analysis and design will grow away from the canonical approach, in the way that we will not resort to analog filter theory. The result is a PLL which is more reactive than the ones usually found in literature and that implements a simple method to make its bandwidth adaptive with respect to the noise that affects the signal
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