Search results for "Spar"
showing 10 items of 1739 documents
How Hadoop and Spark benchmarking algorithms can improve remote health monitoring and data management platforms?
2019
This chapter introduces the characteristics of e-care platform and the concept of ontology which helps the reader understand the system that will implement big data tools for its migration while also focusing on focuses on the most popular systems in the Hadoop ecosystem, emphasizing MapReduce and Spark.
Feature extraction from remote sensing data using Kernel Orthonormalized PLS
2007
This paper presents the study of a sparse kernel-based method for non-linear feature extraction in the context of remote sensing classification and regression problems. The so-called kernel orthonormalized PLS algorithm with reduced complexity (rKOPLS) has two core parts: (i) a kernel version of OPLS (called KOPLS), and (ii) a sparse (reduced) approximation for large scale data sets, which ultimately leads to rKOPLS. The method demonstrates good capabilities in terms of expressive power of the extracted features and scalability.
Prediction Model Selection and Spare Parts Ordering Policy for Efficient Support of Maintenance and Repair of Equipment
2010
The prediction model selection problem via variable subset selection is one of the most pervasive model selection problems in statistical applications. Often referred to as the problem of subset selection, it arises when one wants to model the relationship between a variable of interest and a subset of potential explanatory variables or predictors, but there is uncertainty about which subset to use. Several papers have dealt with various aspects of the problem but it appears that the typical regression user has not benefited appreciably. One reason for the lack of resolution of the problem is the fact that it has not been well defined. Indeed, it is apparent that there is not a single probl…
Causalities between CO2, electricity, and other energy variables during phase I and phase II of the EU ETS
2010
The topic of this article is the analysis of the interplay between daily carbon, electricity and gas price data with the European Union Emission Trading System (EU ETS) for CO2 emissions. In a first step we have performed Granger causality tests for Phase I of the EU ETS (January 2005 until December 2007) and the first year of Phase II of the EU ETS (2008). The analysis includes both spot and forward markets—given the close interactions between the two sets of markets. The results show that during Phase I coal and gas prices, through the clean dark and spark spread, impacted CO2 futures prices, which in return Granger caused electricity prices. During the first year of the Phase II, the sho…
Calibration of a knock prediction model for the combustion of gasoline-LPG mixtures in spark ignition engines
2015
Gaseous fuels, such as liquefied petroleum gas (LPG) and natural gas (NG), thanks to their good mixing capabilities, allow complete and cleaner combustion than gasoline in spark ignition (SI) engines, resulting in lower pollutant emissions and particulate matter. In a previous work the authors showed that the simultaneous combustion of gasoline and LPG improves an SI engine efficiency with respect to pure gasoline operation with any significant power loss. The addition of LPG to the gasoline-air mixture produces an increase in knock resistance that allows running the engine at full load with overall stoichiometric mixture and better spark advance. In order to predict both performance and ef…
From the Blogosphere into Real Politics: The Use of ICT by the Five Star Movement
2014
Research on ICT and the public discourse often focuses on how ICT can be used to increase citizen participation in political decision-making processes. The Italian Five Star Movement (5SM) represents a novel approach to using ICT to include citizens, and a big challenge for the traditional political actors. The 5SM was initiated outside the established political systems, with the use of Internet tools as cornerstones to promote political actions based on the directly expressed will of citizens. In this paper, based on an exploratory case study approach and informed by the introduction of E-Democracy models, we investigate the role of ICT in various phases of the 5SM, from its birth through …
The Silent Board: How Language Diversity May Influence the Work Processes of Corporate Boards
2014
Manuscript Type Empirical. Research Question/Issue Corporate boards often change their working language when they acquire foreign members. Consequently, boards �talk� in one language but �think� in another. The present study explores and explains how language diversity influences work processes of corporate boards. Research Findings/Insights On the basis of a multiple case study of nine multinational corporations (MNCs) from four Nordic countries, we discovered evidence of impoverished and silenced discussions in board meetings in those case companies that were unprepared to switch to English as the new working language of the board. Some board members found it difficult to contribute to bo…
Cloud Services Pricing Models
2013
A major condition for commercial success is a well-defined pricing strategy, however, cloud service providers face many challenges around pricing. Clearness and transparency in pricing is beneficial for all the actors in the ecosystem, where the currently existing abundance of different pricing models makes decision making difficult for service providers, partners, customers and competitors. In this paper, the SBIFT pricing model is evaluated and updated to cloud context. As a result, a 7-dimensional cloud pricing framework is proposed that helps clarifying the possible pricing models in order to let companies differentiate themselves from competitors by price. The framework can be used als…
Integrated reporting: The mediating role of the board of directors and investor protection on managerial discretion in munificent environments
2018
Is there a relationship between managerial discretion in munificent environments and the propensity to disclose an integrated reporting? Is this relationship contingent on the board of directors and investor protection? For an international sample for 2006–2014, this paper supports the assertion that managers are more able to extract superior perquisites when the level of accumulated cash holding is higher; that is, in munificent contexts. Because of the greater managerial discretion in these contexts, managers show a lower incentive to disclose voluntary information through an integrated report, which decreases the firm's transparency. Nonetheless, the board of directors and the level of i…
Retos legales en el uso del big data en la selección de sujetos a investigar por la Inspección de Trabajo y de la Seguridad Social
2020
Entre las formulas tradicionales para seleccionar los sujetos objeto de una inspección se ha introducido recientemente el uso del big data y los algoritmos. Esta tecnología promete mejorar los “aciertos” a la hora de seleccionar qué empresas se van a investigar por posibles ilícitos. Esto puede plantear problemas jurídicos respecto a la protección de los datos, en la aplicación del principio de igualdad y no discriminación en la selección de objetivos y las obligaciones de trasparencia. En este trabajo se analizan los retos legales que ello representa, con especial reconocimiento de los principios aplicables y la incipiente doctrina judicial en países de nuestro entorno.