Search results for "NETWORKS"

Benchmarking open data efforts through indices and rankings: Assessing development and contexts of use

2022

Abstract This paper aims to provide a broad perspective on the development of benchmarking open data efforts through indices and rankings over the years, both at the level of countries and allowing for a cross-country comparison. The methodology follows a systematic search for the relevant resources, their classification and identification of six open data benchmarks to be further analyzed, the identification of their key components through decomposition, their description, and identifying the similarities and differences. Three major groups of indices and four periods that characterize the efforts to benchmark and measure the development of open data are identified, where the first measure…

Hybrid LPV Modeling and Identi cation

2011

Model Identification of a Network as Compressing Sensing

2013

In many applications, it is important to derive information about the topology and the internal connections of dynamical systems interacting together. Examples can be found in fields as diverse as Economics, Neuroscience and Biochemistry. The paper deals with the problem of deriving a descriptive model of a network, collecting the node outputs as time series with no use of a priori insight on the topology, and unveiling an unknown structure as the estimate of a "sparse Wiener filter". A geometric interpretation of the problem in a pre-Hilbert space for wide-sense stochastic processes is provided. We cast the problem as the optimization of a cost function where a set of parameters are used t…

Image Segmentation by Deep Community Detection Approach

2017

International audience; To address the problem of segmenting an image into homogeneous communities this paper proposes an efficient algorithm to detect deep communities in the image by maximizing at each stage a new centrality measure, called the local Fiedler vector centrality (LFVC). This measure is associated with the sensitivity of algebraic connectivity to node removals. We show that a greedy node removal strategy, based on iterative maximization of LFVC, has bounded performance loss relative to the optimal, but intractable, combinatorial batch removal strategy. A remarkable feature of this method is the ability to segments the image automatically into homogeneous regions by maximizing…

Generating Hyperspectral Skin Cancer Imagery using Generative Adversarial Neural Network

2020

In this study we develop a proof of concept of using generative adversarial neural networks in hyperspectral skin cancer imagery production. Generative adversarial neural network is a neural network, where two neural networks compete. The generator tries to produce data that is similar to the measured data, and the discriminator tries to correctly classify the data as fake or real. This is a reinforcement learning model, where both models get reinforcement based on their performance. In the training of the discriminator we use data measured from skin cancer patients. The aim for the study is to develop a generator for augmenting hyperspectral skin cancer imagery. peerReviewed

Gene connectivity and enzyme evolution in the human metabolic network

2019

[Background] Determining the factors involved in the likelihood of a gene being under adaptive selection is still a challenging goal in Evolutionary Biology. Here, we perform an evolutionary analysis of the human metabolic genes to explore the associations between network structure and the presence and strength of natural selection in the genes whose products are involved in metabolism. Purifying and positive selection are estimated at interspecific (among mammals) and intraspecific (among human populations) levels, and the connections between enzymatic reactions are differentiated between incoming (in-degree) and outgoing (out-degree) links.

Collaboration and collaborative information technologies

1999

Collaborative information technologies have been claimed to enhance collaboration in organizations, under certain conditions. This claim was found problematic in several respects, also in the light of the results of 18 case studies of Lotus Notes use, taken from the literature. The cases may be split into three groups: (1) exploratory, conservative, or cautious use; (2) planned and expanding use; and (3) extensive and engaged use of Notes. In the first group, no changes in work arrangements due to Notes use could be found. In the second group, the planned Notes applications supported the established work arrangements, both collaborative and hierarchical. Only in the third group were there s…

Dissensus, death and division

2009

The modeling of switching systems describing networks where death and duplication processes occur is described. A dissensus protocol, complementary to consensus protocol, is introduced and the convergence or divergence of the agents' state evolution is studied. We discuss some properties of the topology reached by the network when different rules of duplication and inheritance are implemented.

Teacher Training in Linguistic Diversity within Inclusive Education: Cooperation between Non-governmental Non-profit Organizations and Educational In…

2020

Esta tesis examina la colaboración entre las las organizaciones no gubernamentales sin ánimo de lucro centradas en los alumnos con una lengua materna diferente y los centros escolares de tres zonas geográficas europeas: República Checa, Italia y España. Responde a tres preguntas de investigación: (1) ¿Qué servicios ofrecen las organizaciones sin ánimo de lucro a los profesores? (2) ¿Cómo ven las organizaciones no lucrativas la cooperación actual? (3) ¿Conocen los profesores la existencia de organizaciones sin ánimo de lucro en este ámbito y están interesados en dicha cooperación? Se emplea un enfoque de métodos mixtos, aplicando un cuestionario a 34 organizaciones sin ánimo de lucro (9 chec…

On the Statistical Properties of Phase Crossings and Random FM Noise in Double Rayleigh Fading Channels

2016

In this paper, we study the statistics of phase processes and random frequency modulation (FM) noise encountered in double Rayleigh fading channels. The Rayleigh processes making up the double Rayleigh channel are assumed to be independent but not necessarily identically distributed. The Doppler power spectral densities of these processes are supposed to be symmetric about the carrier frequency. Under these fading conditions, we derive first an expression for the joint probability density function (jpdf) of the phase process and its rate of change. Capitalizing on this jpdf formula, we then investigate the probability density function (pdf) and cumulative distribution function (cdf) of rand…