Search results for " processing"

Using a Computerised Corpus in the Construction of a Bilingual Phraseological Dictionary

2016

It is generally acknowledged that one of the main purposes of bilingual dictionaries is to provide learners with relevant and sufficient information about the grammatical, lexical and phraseological units of a language (Yong and Peng 2007: 20). Furthermore, this must be done in a way that is both convenient and comprehensible for very specific kinds of users (Cabre 2007: 80–81; Pecman 2008: 205), namely, non-native speakers who are still developing their linguistic and discourse competence but who have not fully attained the intuitive ability to tackle major grammatical issues. It follows that this kind of learner cannot rely on previous discourse experience and sociolinguistic training in …

Optical technique for classification, recognition and identification of obscured objects

2010

Abstract The capability to classify, recognize and to identify objects from spatially low resolution images has high significance in security related applications especially in a case that recognition of camouflaged object is required. In this paper we present a novel approach in which the scenery containing obscured objects which we wish to classify, recognize or identify is illuminated by spatially coherent beam (e.g. laser) and therefore secondary speckles pattern is reflected from the objects. By special image processing algorithm developed for this research and which is basically based upon temporal tracking of the random speckle pattern one may extract the temporal signature of the ob…

Classification Boundary Approximation by Using Combination of Training Steps for Real-Time Image Segmentation

2007

We propose a method of real-time implementation of an approximation of the support vector machine decision rule. The method uses an improvement of a supervised classification method based on hyperrectangles, which is useful for real-time image segmentation. We increase the classification and speed performances using a combination of classification methods: a support vector machine is used during a pre-processing step. We recall the principles of the classification methods and we evaluate the hardware implementation cost of each method. We present our learning step combination algorithm and results obtained using Gaussian distributions and an example of image segmentation coming from a part …

Multiword Units in Machine Translation and Translation Technology

2018

This article describes a new word alignment gold standard for German nominal compounds and their multiword translation equivalents in English, French, Italian, and Spanish. The gold standard contains alignments for each of the ten language pairs, resulting in a total of 8,229 bidirectional alignments. It covers 362 occurrences of 137 different German compounds randomly selected from the corpus of European Parliament plenary sessions, sampled according to the criteria of frequency and morphological complexity. The standard serves for the evaluation and optimisation of automatic word alignments in the context of spotting translations of German compounds. The study also shows that in this text…

Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems

2017

Phase-shifting of correlation fringes created by image processing as an alternative to improve digital shearography

2016

Abstract The adoption of digital speckle pattern shearing interferometry, or speckle shearography, is well known in many areas when one needs to measure micro-displacements in-plane and out of the plane in biological and non-biological objects; it is based on the Michelson's Interferometer with the use of a piezoelectric transducer (PZT) in order to provide the phase-shift of the fringes and then to improve the quality of the final image. The creation of the shifting images using a PZT, despite its widespread use, has some drawbacks or limitations, such as the cost of the apparatus, the difficulties in applying the same displacement in the mirror repeated times, and when the phase-shift can…

Divisive normalization image quality metric revisited.

2010

Structural similarity metrics and information-theory-based metrics have been proposed as completely different alternatives to the traditional metrics based on error visibility and human vision models. Three basic criticisms were raised against the traditional error visibility approach: (1) it is based on near-threshold performance, (2) its geometric meaning may be limited, and (3) stationary pooling strategies may not be statistically justified. These criticisms and the good performance of structural and information-theory-based metrics have popularized the idea of their superiority over the error visibility approach. In this work we experimentally or analytically show that the above critic…

Three-dimensional Fuzzy Kernel Regression framework for registration of medical volume data

2013

Abstract In this work a general framework for non-rigid 3D medical image registration is presented. It relies on two pattern recognition techniques: kernel regression and fuzzy c-means clustering. The paper provides theoretic explanation, details the framework, and illustrates its application to implement three registration algorithms for CT/MR volumes as well as single 2D slices. The first two algorithms are landmark-based approaches, while the third one is an area-based technique. The last approach is based on iterative hierarchical volume subdivision, and maximization of mutual information. Moreover, a high performance Nvidia CUDA based implementation of the algorithm is presented. The f…

Small worlds with a difference

2011

Political discussions on social network platforms represent an increasingly relevant source of political information, an opportunity for the exchange of opinions and a popular source of quotes for media outlets. We analyzed political communication on Twitter during the run-up to the German general election of 2009 by extracting a directed network of user interactions based on the exchange of political information and opinions. In consonance with expectations from previous research, the resulting network exhibits small-world properties, lending itself to fast and efficient information diffusion. We go on to demonstrate that precisely the highly connected nodes, characteristic for small-world…

Review of machine to machine communication in smart grid

2016

Machine to machine communication (M2M) is a communication architecture that enables heterogeneous devices to interact with each other without human intervention. Smart Grid (SG) is one of the many applications areas in the M2M communication. Smart Grid demands advanced communication infrastructure for two-way communications between devices deployed at various locations in energy generation, transmission, distribution and consumption. The billions of electronic devices connected to the Smart Grid pose a big challenge to grid communication. Therefore, a feasible solution to efficient M2M has to overcome challenges of energy efficiency of connected devices, interoperability, coverage area, int…