Search results for "programming."
showing 10 items of 3035 documents
An analysis on the subjective perception of policy action on peripherality: A comparative assessment in accessible and peripheral areas of six countr…
2009
The paper presents an analysis of the subjective perception of the policy efficiency on peripherality in 12 regions of six countries of the EU. In each country two regions are selected: one peripheral but relatively dynamic and another accessible but relatively lagging. Public action conditions a range of processes and activities that continuously influence the intensity and direction of development. It can be part of the new factors of territorial development (NFTD) building up or hindering peripherality. The paper has the following aims: to identify what generic types of measures are believed to be more efficient for development; to analyse which measures (spatial or aspatial) are conside…
Methodological Approach for Messages Classification on Twitter Within E-Government Area
2018
The constant growth in the numbers of Social Media users is a reality of the past few years. Companies, governments and researchers focus on extracting useful data from Social Media. One of the most important things we can extract from the messages transmitted from one user to another is the sentiment—positive, negative or neutral—regarding the subject of the conversation. There are many studies on how to classify these messages, but all of them need a huge amount of data already classified for training, data not available for Romanian language texts. We present a case study in which we use a Naive Bayes classifier trained on an English short text corpus on several thousand Romanian texts. …
Reflection Assignment as a Tool to Support Students’ Metacognitive Awareness in the Context of Computer-Supported Collaborative Learning
2021
The present study explores the potential of a reflection assignment as a tool for supporting master’s degree students’ metacognitive skills in the context of computer-supported collaborative learning (CSCL). The research question (RQ) is formulated as follows: How does a regularly submitted reflection assignment support the development of students’ individual metacognitive awareness in the context of CSCL? The empirical data is a text corpus (7878 words) extracted from individual students’ (N = 13) reflection assignments (N = 65) submitted during one semester. Qualitative content analysis was employed to analyze the data. The results demonstrate that by the end of the course, the students s…
Transnational textile outsourcing: exceptional or standard
2021
The aim of this investigation is to quantitatively analyse the new methods of production and organisation in the textile business. Free flow of funds together with textile hyper-consumption have led to organisational models based on processes of externalisation, outsourcing, export, internationalisation and so on. Because of the transverse nature of the study subject, as well as the opportunities and asymmetries generated in the textile industry, a Delphi analysis is proposed as a way to analyse this new paradigm. A panel of 55 experts were given multidisciplinary questionnaires and their responses were studied, taking into account the degree of affinity (test) of the statements posed in or…
Copy-move Forgery Detection via Texture Description
2010
Copy-move forgery is one of the most common type of tampering in digital images. Copy-moves are parts of the image that are copied and pasted onto another part of the same image. Detection methods in general use block-matching methods, which first divide the image into overlapping blocks and then extract features from each block, assuming similar blocks will yield similar features. In this paper we present a block-based approach which exploits texture as feature to be extracted from blocks. Our goal is to study if texture is well suited for the specific application, and to compare performance of several texture descriptors. Tests have been made on both uncompressed and JPEG compressed image…
Learning to Rank Images for Complex Queries in Concept-based Search
2018
Concept-based image search is an emerging search paradigm that utilizes a set of concepts as intermediate semantic descriptors of images to bridge the semantic gap. Typically, a user query is rather complex and cannot be well described using a single concept. However, it is less effective to tackle such complex queries by simply aggregating the individual search results for the constituent concepts. In this paper, we propose to introduce the learning to rank techniques to concept-based image search for complex queries. With freely available social tagged images, we first build concept detectors by jointly leveraging the heterogeneous visual features. Then, to formulate the image relevance, …
Modelling and simulation of several interacting cellular automata
2015
Cellular automata are used for modelling and simulation of many systems. In some applications, the system is formed by a set of subsystems that can be modelled separately, but, in such cases, the existence of interactions between these subsystems requires additional modelling and computer programming. In this paper we propose a modelling methodology for the simulation of a set of cellular automata models that interact with each other. The modelling methodology is described, together with an insight on implementation details. Also, it is applied to a particular cellular automata model, the Sanpile model, to illustrate its use and to obtain some example simulations.
Canonical Retina-to-Cortex Vision Model Ready for Automatic Differentiation
2020
Canonical vision models of the retina-to-V1 cortex pathway consist of cascades of several Linear+Nonlinear layers. In this setting, parameter tuning is the key to obtain a sensible behavior when putting all these multiple layers to work together. Conventional tuning of these neural models very much depends on the explicit computation of the derivatives of the response with regard to the parameters. And, in general, this is not an easy task. Automatic differentiation is a tool developed by the deep learning community to solve similar problems without the need of explicit computation of the analytic derivatives. Therefore, implementations of canonical visual neuroscience models that are ready…
A study on graph representations for genetic programming
2020
Graph representations promise several desirable properties for Genetic Programming (GP); multiple-output programs, natural representations of code reuse and, in many cases, an innate mechanism for neutral drift. Each graph GP technique provides a program representation, genetic operators and overarching evolutionary algorithm. This makes it difficult to identify the individual causes of empirical differences, both between these methods and in comparison to traditional GP. In this work, we empirically study the behavior of Cartesian Genetic Programming (CGP), Linear Genetic Programming (LGP), Evolving Graphs by Graph Programming (EGGP) and traditional GP. By fixing some aspects of the config…
On the role of non-effective code in linear genetic programming
2019
In linear variants of Genetic Programming (GP) like linear genetic programming (LGP), structural introns can emerge, which are nodes that are not connected to the final output and do not contribute to the output of a program. There are claims that such non-effective code is beneficial for search, as it can store relevant and important evolved information that can be reactivated in later search phases. Furthermore, introns can increase diversity, which leads to higher GP performance. This paper studies the role of non-effective code by comparing the performance of LGP variants that deal differently with non-effective code for standard symbolic regression problems. As we find no decrease in p…