Towards Open Graphical Tool-Building Framework

Author(s):  
Edgars Rencis ◽  
Janis Barzdins ◽  
Sergejs Kozlovics

Towards Open Graphical Tool-Building Framework Nowadays, there are many frameworks for developing domain-specific tools. However, if we want to create a really sophisticated tool with specific functionality requirements, it is not always an easy task to do. Although tool-building platforms offer some means for extending the tool functionality and accessing it from external applications, it usually requires a deep understanding of various technical implementation details. In this paper we try to go one step closer to a really open graphical tool-building framework that would allow both to change the behavior of the tool and to access the tool from the outside easily. We start by defining a specialization of metamodels which is a great and powerful facility itself. Then we go on and show how this can be applied in the field of graphical domain-specific tool building. The approach is demonstrated on an example of a subset of UML activity diagrams. The benefits of the approach are also clearly indicated. These include a natural and intuitive definition of tools, a strict logic/presentation separation and the openness for extensions as well as for external applications.

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 434
Author(s):  
Anca Nicoleta Marginean ◽  
Delia Doris Muntean ◽  
George Adrian Muntean ◽  
Adelina Priscu ◽  
Adrian Groza ◽  
...  

It has recently been shown that the interpretation by partial differential equations (PDEs) of a class of convolutional neural networks (CNNs) supports definition of architectures such as parabolic and hyperbolic networks. These networks have provable properties regarding the stability against the perturbations of the input features. Aiming for robustness, we tackle the problem of detecting changes in chest X-ray images that may be suggestive of COVID-19 with parabolic and hyperbolic CNNs and with domain-specific transfer learning. To this end, we compile public data on patients diagnosed with COVID-19, pneumonia, and tuberculosis, along with normal chest X-ray images. The negative impact of the small number of COVID-19 images is reduced by applying transfer learning in several ways. For the parabolic and hyperbolic networks, we pretrain the networks on normal and pneumonia images and further use the obtained weights as the initializers for the networks to discriminate between COVID-19, pneumonia, tuberculosis, and normal aspects. For DenseNets, we apply transfer learning twice. First, the ImageNet pretrained weights are used to train on the CheXpert dataset, which includes 14 common radiological observations (e.g., lung opacity, cardiomegaly, fracture, support devices). Then, the weights are used to initialize the network which detects COVID-19 and the three other classes. The resulting networks are compared in terms of how well they adapt to the small number of COVID-19 images. According to our quantitative and qualitative analysis, the resulting networks are more reliable compared to those obtained by direct training on the targeted dataset.


2007 ◽  
pp. 447-458 ◽  
Author(s):  
Reyes Grangel ◽  
Ramzi Ben Salem ◽  
Jean-Pierre Bourey ◽  
Nicolas Daclin ◽  
Yves Ducq

2013 ◽  
Vol 44 (2s) ◽  
Author(s):  
Z. Ludwiczak ◽  
S. Benni ◽  
P. Tassinari

The importance of cultural, historical and identity values of traditional rural landscapes is widely acknowledged in the relevant scientific fields and in legislation. Furthermore, the knowledge of their evolution represents a fundamental basis in order to manage landscape transformations appropriately. The work is part of a broader research aimed at developing and testing a method for the systematic high time and spatial resolution assessment of changes in traditional rural landscape signs. We describe here the main phases of this original quantitative method and a summary of the first results over an Italian case study. A set of parameters allows to provide complementary information about the evolution of the main characters of rural settlements and their components. This proves to be essential to achieve a deep understanding of the traditional physiognomy of places, and to support landscape management and restoration, and the definition of transformation projects.


2017 ◽  
Vol 48 (1) ◽  
pp. 105-122 ◽  
Author(s):  
Huifeng Chen ◽  
Jian-min Jiang ◽  
Zhong Hong ◽  
Ling Lin

2018 ◽  
Vol 65 (5) ◽  
pp. 591-607 ◽  
Author(s):  
Elisa Bellè ◽  
Caterina Peroni ◽  
Elisa Rapetti

The aim of this article is to furnish insights of the Italian public debate on the recognition of LGBTQ rights, which can be understood as an interesting case study of the complex relationship between (multi)secularisation processes and re/definition of citizenship models. More specifically, the article analyses two political events related to this debate that took place in Rome in June 2015. The first is the Family Day demonstration, promoted by conservative Catholic groups; the second is the LGBTQ Pride parade, promoted by various gay, lesbian and transsexual/gender associations. We analyse the official statements issued by the two organising committees of the demonstrations, adopting the framework and methods of the Critical Discourse Analysis. Above and beyond an evident political conflict between the two discourses, we try to shed light on their mutual construction on the basis of what we call ‘naturalization’ and ‘universalization’ processes.


2006 ◽  
Vol 38 (1) ◽  
pp. 45-59
Author(s):  
Zora Krnjaic

The paper starts from the assumption that expert thinking is a complex manner of thinking of higher order, comprising higher mental functions and complex capabilities based on deep structures and knowledge patterns. It is a domain-determined and specialized thinking developed through systematic education. Particular aspects of ability, selected for this study, primarily concern the relation between abilities and knowledge and the relation between general and specific abilities. Particular emphasis was laid on the key concepts of the theories presented, relevant for the study of the complex nature of expert thinking. Special attention was paid to mediated intelligence and the process of systemogenesis of knowledge, Katel?s definition of crystallized intelligence, Gardener?s work on multiple intelligences in the context of knowledge and experience as well as Sternberg?s two-facet subtheory. The capability for abstract thought and the ability to select what is important as well as the domain of relevant specific capability are assumed to be of special relevance for understanding expert thinking and, as such, they were articulated and examined. Expert thinking-abstract, specialized and domain-specific, seems to be based on general and specific capabilities and their interaction.


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