Search results for " Network"

PODER, NEGOCIO Y CONFLICTIVIDAD FISCAL: EL REFORZAMIENTO DE LA AUTORIDAD DEL INTENDENTE EN LA VALENCIA DEL SIGLO XVIII

2014

Las vacilaciones con las que se procedió a la realización de las reformas fiscales en el Reino de Valencia tras la abolición de los fueros en 1707 generaron numerosos conflictos que impulsaron a la Monarquía a reforzar la autoridad del intendente. Con tal finalidad, se potenció la tramitación por la vía reservada de las decisiones que adoptaba en materia hacendística. Pero el considerable incremento de su poder que ello comportó favoreció su utilización de forma abusiva en beneficio propio o de la red clientelar articulada a su alrededor. No obstante, las relaciones que mantenía el intendente con las élites locales contribuyen a explicar el eco desigual que alcanzaron las denuncias de corru…

Between Self-Organizing and Accelerating Networks: Untangling the multilevel of strategic networks

2010

This paper aims to detect the crucial determinants and processes that shape the emergence and evolution of interfirm network cognitive morphology. We pinpoint three relatively distinct but coexistent levels which define the fundamental structure of the network: the microsystemic (or the single firm) level; the mesosystemic (or the groups of firms within the network) level; and the macrosystemic (or the overarching network) level. Then, we integrate the complex system perspective (Morin, 1977; Prigogine and Stengers, 1984; Anderson, 1999) applied to networks with studies regarding theoretical models that elucidate network structuring and dynamics cultivated in the new “science of networks” (…

Energy efficient resource allocation in heterogeneous software defined network: A reverse combinatorial auction approach

2015

In this paper, resource allocation for energy effi- ciency in heterogeneous Software Defined Network (SDN) with multiple network service providers (NSPs) is studied. The considered problem is modeled as a reverse combinatorial auction game, which takes different quality of service (QoS) requirements into account. The heterogeneous network selection associated with power allocation problem is optimized by maximizing the energy efficiency of data transmission. By exploiting the properties of fractional programming, the resulting non-convex Winner Determination Problem (WDP) is transformed into an equivalent subtractive convex optimization problem. The proposed reverse combinatorial auction ga…

A critical re-examination of the academic literature on venture capital networks

2020

This paper proposes a critical re-examination of the recent trends of the literature on venture capital networks. This brief review thoroughly scrutinises three papers that are representative of the recent academic literature in this field of study. I identify their points of strength and limitations, in order to pave the way for future research. This paper shows that the study of network weak and informal ties and the role of risk management strategies are promising areas for pushing the frontiers of research on venture capital networks. Extending our knowledge on this topic is crucial to understand the best strategic decisions venture capital firms should take, as parts of an inter-organi…

Hyper-flexible Convolutional Neural Networks based on Generalized Lehmer and Power Means

2022

Convolutional Neural Network is one of the famous members of the deep learning family of neural network architectures, which is used for many purposes, including image classification. In spite of the wide adoption, such networks are known to be highly tuned to the training data (samples representing a particular problem), and they are poorly reusable to address new problems. One way to change this would be, in addition to trainable weights, to apply trainable parameters of the mathematical functions, which simulate various neural computations within such networks. In this way, we may distinguish between the narrowly focused task-specific parameters (weights) and more generic capability-spec…

Performance Evaluation for a Sustainable Supply Chain Management System in the Automotive Industry Using Artificial Intelligence

2020

Increasing the sustainability of a system can be achieved by evaluating the system, identifying the issues and their root cause and solving them. Performance evaluation translates into key performance indicators (KPIs) with a high impact on increasing overall efficacy and efficiency. As the pool of KPIs has increased over time in the context of evaluating the supply chain management (SCM) system&rsquo

Noise effect in a FitzHugh-Nagumo circuit driven by a bichromatic signal

2013

We analyze the response of a nonlinear circuit exactly ruled by the FitzHugh-Nagumo equations. This circuit is submitted to a bichromatic signal including a high frequency and a low frequency. In absence of noise, we show that for an appropriate amplitude of the high frequency driving, the response of the circuit estimated at the low frequency can be optimized via the phenomenon of vibrational resonance. Next, we show that under certain conditions, noise can contribute to the effect of vibrational resonance. Colored noise is also considered. Our experimental results are confirmed by a numerical analysis.

Detector-based visual analysis of time-series data

2015

Mixtures identification of chemical compounds on the basis of their IR spectra by artificial intelligence

2012

Infrared (IR) spectrometric identification of individual chemical compounds from their mixtures is still a challenging process. Therefore, we developed a method in which we use the IR “Fingerprint” spectra of a particular chemical substance followed by artificial intelligence (AI) – based analysis to correctly characterise components of relatively simple chemical mixtures. We describe here the assembly of tools developed especially for this purpose as well as the artificial neural network design together with the requirements that must be met for its proper functioning. To test our approach, we used a mixture of amphetamine and creatinine which are difficult to identify in mixtures by stand…

SEAM PUCKERING EVALUATION METHOD FOR SEWING PROCESS

2014

The paper presents an automated method for the assessment and classification of puckering defects detected during the preproduction control stage of the sewing machine or product inspection. In this respect, we have presented the possible causes and remedies of the wrinkle nonconformities. Subjective factors related to the control environment and operators during the seams evaluation can be reduced using an automated system whose operation is based on image processing. Our implementation involves spectral image analysis using Fourier transform and an unsupervised neural network, the Kohonen Map, employed to classify material specimens, the input images, into five discrete degrees of quality…