19,529 research outputs found

    On the measurement of sustainability of rural water supply in India: A Supervaluationist–Degree Theory approach

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    The paper proposes an empirical methodology for understanding the nature and behavior of Sustainable Development as a vague and multidimensional concept by a case study of participatory and demand determined Rural Drinking water Supply systems in India. It combines for the first time, two of the most influential models – ‘Supervaluationism’ and ‘Degree Theory’- on the measurement of ‘Vagueness’, for timely public intervention in reversing the process of Un-sustainability. Analysis clearly brings out the role of institutional, financial and environmental factors that should be part of Public Policy, for ensuring sustainability of potable water supplysustainability, supervaluationism, degree theory

    The safety case and the lessons learned for the reliability and maintainability case

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    This paper examine the safety case and the lessons learned for the reliability and maintainability case

    Factor Analysis vs Fuzzy Sets Theory: Assessing the Influence of Different Techniques on Sen's Functioning Approach.

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    This paper explores a couple of specific operational interpretations of Sen's approach in view of assessing the extent to which the results originated by the implementation of Sen's concepts are influenced by the choice of the specific technique. By means of a survey based on a representative sample of Belgian individuals, seven achieved functioning's are identified via each technique and subsequently confronted. To structure the information and to facilitate comparisons, standard multivariate analysis is performed, while at the same time considering in more detail the sub-group of the most deprived individuals. In this way, a substantial accordance - yet no perfect equivalence - is uncovered in the general patterns of functioning's' achievements.

    Factor Analysis vs. Fuzzy Sets Theory: Assessing the Influence of Different Techniques on Sen's Functioning Approach

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    This paper explores a couple of specific operational interpretations of Sen's approach in view of assessing the extent to which the results originated by the implementation of Sen's concepts are influenced by the choice of the specific technique. By means of a survey based on a representative sample of Belgian individuals, seven achieved functioning's are identified via each technique and subsequently confronted. To structure the information and to facilitate comparisons, standard multivariate analysis is performed, while at the same time considering in more detail the sub-group of the most deprived individuals. In this way, a substantial accordance - yet no perfect equivalence - is uncovered in the general patterns of functionings' achievements.

    A Review of Fault Diagnosing Methods in Power Transmission Systems

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    Transient stability is important in power systems. Disturbances like faults need to be segregated to restore transient stability. A comprehensive review of fault diagnosing methods in the power transmission system is presented in this paper. Typically, voltage and current samples are deployed for analysis. Three tasks/topics; fault detection, classification, and location are presented separately to convey a more logical and comprehensive understanding of the concepts. Feature extractions, transformations with dimensionality reduction methods are discussed. Fault classification and location techniques largely use artificial intelligence (AI) and signal processing methods. After the discussion of overall methods and concepts, advancements and future aspects are discussed. Generalized strengths and weaknesses of different AI and machine learning-based algorithms are assessed. A comparison of different fault detection, classification, and location methods is also presented considering features, inputs, complexity, system used and results. This paper may serve as a guideline for the researchers to understand different methods and techniques in this field

    Measuring the interaction between parents and children in Italian families: a structural equation approach

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    In this paper we theoretically and empirically analyse the capability to social interaction between parents and children in Italy, within a capability approach framework. For this purpose, after having identified the functionings and conversion factors related to this capability, we have built an integrated dataset for year 2008 with a procedure inspired to the propensity score matching. This allows us to work on a wide set of information, both on the realized functionings, ands on the personal and familiar factors that are likely to affect childrens attainments. We have analysed this data using descriptive statistics and structural equation modelling. Our results suggest lower levels of interaction for fathers that for mothers. Further, childrens capability to interact with the parents is negatively affected by the number of siblings in the household, by childs increasing age and by living in the South of Italy. Also parents characteristics are crucial: highly educated fathers tend to perform better in their interaction with the child and father-child relationship, furthermore, is positively affected by the fact that the mother is employed, while motherchild interaction does not significantly change.Capability Approach, Human Development, Structural Equation Models

    Improving the translation environment for professional translators

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    When using computer-aided translation systems in a typical, professional translation workflow, there are several stages at which there is room for improvement. The SCATE (Smart Computer-Aided Translation Environment) project investigated several of these aspects, both from a human-computer interaction point of view, as well as from a purely technological side. This paper describes the SCATE research with respect to improved fuzzy matching, parallel treebanks, the integration of translation memories with machine translation, quality estimation, terminology extraction from comparable texts, the use of speech recognition in the translation process, and human computer interaction and interface design for the professional translation environment. For each of these topics, we describe the experiments we performed and the conclusions drawn, providing an overview of the highlights of the entire SCATE project
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