Search results for "UML"
showing 10 items of 407 documents
Vārtājas ledājkušanas ūdeņu drenāžas ieleja
2018
Bakalaura darba mērķis ir izpētīt Vārtājas ledajkušanas ūdeņu drenāžas ielejas ģeomorfoloģisko un ģeoloģisko uzbūvi un attīstību, noskaidrot, kādā deglaciācijas posmā ieleja ir izveidota, un klasificēt, kāda tipa ielejai pieder Vārtājas ieleja. Darba autors, izstrādājot bakalaura darbu, lauku pētījumu ietvaros izveidoja 4 atsegumus, kuros tika veikta fāciju aprakstīšana un trijos atsegumos tika veikti slāņu mērījumi. Iegūtie slāņu mērījumu dati ļāva interpretēt ledājkušanas ūdeņu straumju virzienus. Darba teorētiskajā sadaļā tiek apskatīta teritorijas ģeoloģiskā uzbūve, glacigēnā reljefa uzbūve, fluviālā un glaciofluviālā reljefa uzbūve, deglaciācijas vēsture un Baltijas ledus ezera attīstī…
Optimal Usage of Multiple Network Connections
2008
In the future mobile networks, a mobile terminal is able to select the best suitable network for each data transmission. The selection of a network connection to be used has been under a lot of study. In this paper, we consider a more extensive case in which we do not select a network connection but use several network connections simultaneously to transfer data. When data is transferred using multiple network connections, a network connection has to be selected for each component of the data. We have modelled this problem as a multiobjective optimization problem and developed a heuristic to solve the problem fast in a static network environment. In this paper, we discuss solving the proble…
Clasificación de usos del suelo a partir de imágenes Sentinel-2
2017
[EN] Sentinel-2 (S2), a new ESA satellite for Earth observation, accounts with 13 bands which provide high-quality radiometric images with an excellent spatial resolution (10 and 20 m) ideal for classification purposes. In this paper, two objectives have been addressed: to determine the best classification method for S2, and to quantify its improve-ment with respect to the SPOT operational mission. To do so, four classifiers (LDA, RF, Decision Trees, K-NN) have been selected and applied to two different agricultural areas located in Valencia (Spain) and Buenos Aires (Argentina). All classifiers were tested using, on the one hand, all the S2 bands and, on the other hand, only selecting those…
The contribution of granular and fundamental comparative advantage to European Union countries' export specialisation
2020
This paper analyses the contribution of fundamental comparative advantage (a country‐specific component) and granular comparative advantage (a firm‐specific component) to European Union countries' export specialisation. We find that, on average, granular comparative advantage may explain export specialisation in 29% of industries, which account for 47% of total exports. We also show that 60% of the variation in export specialisation across countries and industries may be explained by granular comparative advantage. These results highlight that some outstanding firms may play a very important role in explaining European Union countries' export specialisation.
Information and Communication Component of Modern Entrepreneurship
2012
The extent of involvement of small business to the World Wide Web depends not only on the degree of activity of the entrepreneurs themselves, but also on the level of development of a virtual market space. Statistics show that in the European Union, for example, businessmen from countries just emerging from the inertia of the machine production are still fairly sluggish in the development of ICT. In the context of the problems of small business in general and of the European entrepreneurship, in particular, it can be argued that virtually oriented entrepreneurs need now a strong support at both the national and supra-national levels.
An Augmented Static Olley-Pakes Productivity Decomposition with Entry and Exit Measurement and Interpretation
2015
We develop an augmented Olley–Pakes (OP) decomposition that allows us to examine how entering and exiting firms contribute to the popular OP covariance measure of allocative efficiency. Applying the decomposition to a comprehensive micro-level data, we find that a large part of the OP covariance component can be attributed to entrants and exiting firms. We also build a model of firm dynamics that is consistent with our main empirical results. In the model economy, the standard OP covariance component tends to increase with certain type of distortions because of endogenous changes in firm entry and exit.
Unawareness and Partitional Information Structures
1999
Abstract We claim first that simple uncertainty is not an adequate model of a subject's ignorance, because a major component of it is the inability to give a complete description of the states of the world, and we provide a formal model of unawareness. In Modica and Rustichini (1994) we showed a difficulty in the project, namely that without weakening of the inference rules of the logic one would face the unpleasant alternative between full awareness and full unawareness. In this paper we study a logical system where non full awareness is possible, and prove that a satisfactory solution to the problem can be found by introducing limited reasoning ability of the subject. A determination theo…
Eigenexpressions: Emotion Recognition Using Multiple Eigenspaces
2013
This paper presents an appearance-based holistic method for expression recognition. A two stage supervised learning approach is used. At the first stage, training images are used to compute one subspace per expression. At the second stage, the same images are used to train a classifier. In this step, Euclidean distances from each image to each particular subspace are used as the input to the classifier. The resulting system significantly outperforms the baseline eigenfaces method on the Cohn-Kanade data set, with performance gains in the range 10%-20%.
Disaster Prevention Integrated into Commonly Used Web Rendered Systems with GIS Capabilities
2014
The end of the 20th century brought a remarkable increase in the field of positioning techniques and communications, making them visible and available to the public, which led to an unprecedented interconnectivity. At the same time, disasters are part of our life. Regardless of their nature, measures can be taken, in order to prevent and mitigate their effects, by anticipative preparation or by avoiding the calamity area (if possible). To this end, this paper presents an integrated system, composed of a software component, a hardware component, and a decision-making human element, all having the declared role of diminishing or eliminating human and material losses.
Boosting Hankel matrices for face emotion recognition and pain detection
2017
HighligthsDynamics of face expression descriptors are modeled for emotion recognition.A set of Hankel matrices is built upon several multi-scale face representations.Boosting and random subspace projection are used for dynamics selection.Dynamics of Haar-like features and Gabor Energies are compared.Fine-grained dynamics of subtle expressions can be modeled at small spatial scales. Studies in psychology have shown that the dynamics of emotional expressions play an important role in face emotion recognition in humans. Motivated by these studies, in this paper the dynamics of face expressions are modeled and used for automatic emotion recognition and pain detection.Given a temporal sequence o…