9 research outputs found
A Semi-Classical Signal Analysis Method for the Analysis of Turbomachinery Flow Unsteadiness
This paper presents the use of a semi-classical signal
analysis method that has been developed recently for the analysis of
turbomachinery flow unsteadiness. We will focus on the correlation
between theSemi-Classical Signal Analysis parameters and some
physical parameters in relation with turbomachinery features. To
demonstrate the potential of the proposed approach, a static pressure
signal issued from a rotor/stator interaction of a centrifugal pump is
studied. Several configurations of the pump are compared
Primjena jeftinih punila u aeriranom biofiltru za pročišćavanje efluenta laguna
As part of a comprehensive evaluation of post-treatment techniques for the removal of chemical and microbiological pollutants from lagoon effluents, an aerated biofilter was designed. The main objective of this study was to evaluate the performance of pozzolan and Luffa cylindrica as low-cost packing materials for the advanced treatment of Stidia natural lagoon effluent. The aerated biofilter operates in down-flow with HLRs of 11.37 to 28.43 m3 m–2 d–1 and an air/liquid flow ratio of 3 : 1. The different experiments performed on the pilot showed that the percentages of sCOD removal vary with the HLRs and the wastewater concentration at the biofilter inlet. In this study, sCOD removal efficiencies above 78.9 % were achieved depending on HLR, and a maximum removal efficiency of TSS of 71.5 % was obtained for 28.43 m3 m–2 d–1. At low HLR (11.37 m3 m–2 d–1), the treated effluent had the following average concentrations: sCOD of 29.5 mg l–1, BOD5 of 21.7 mg l–1 and TSS of 26.4 mg l–1. These experimental results were used with an empirical model to determine the media constant n and treatability factor K. The faecal coliforms and Escherichia coli detected in the treated effluent were less than 105 CFU/100 ml, which meet the national guidelines for wastewater reuse in irrigation.U sklopu sveobuhvatne procjene tehnika naknadnog uklanjanja kemijskih i mikrobioloških onečišćenja iz efluenta laguna, projektiran je aerirani biofiltar. Glavni cilj ovog istraživanja bio je procijeniti učinak pucolana i biljke Luffa cylindrica kao jeftinih punila za naprednu obradu efluenta prirodne lagune Stidia. Aerirani biofiltar radi s brzinom hidrauličkog opterećenja (HLR) od 11,37 do 28,43 m3 m–2 d–1 i omjerom protoka zrak/tekućina od 3 : 1. Eksperimenti provedeni na pilotu pokazuju da smanjenje KPK (izražene s obzirom na otopljene tvari) varira ovisno o HLR-u i koncentraciji otpadne vode na ulazu u biofiltar. U ovom istraživanju postignute su učinkovitost smanjenja KPK iznad 78,9 % ovisno o HLR-u, a maksimalna učinkovitost uklanjanja ukupnih suspendiranih čestica (TSS) od 71,5 % dobivena je pri 28,43 m3 m–2 d–1. Pri niskom HLR-u (11,37 m3 m–2 d–1), KPK, BPK5 i TSS obrađene otpadne vode iznosili su 29,5 mg l–1, 21,7 mg l–1 odnosno 26,4 mg l–1. Ti eksperimentalni rezultati korišteni su u empirijskom modelu da bi se odredila konstanta medija n i faktor obrade K. CFU vrijednosti fekalnih koliforma i bakterije Escherichia coli u obrađenoj otpadnoj vodi bile su ispod 105 CFU/100 ml što zadovoljava nacionalne smjernice za upotrebu tih voda u navodnjavanju zemljišta
Toward a detection approach of surge precursors using a semi-classical signal analysis method
International audienc
Machine learning-based method for predicting C–V-T characteristics and electrical parameters of GaAs/AlGaAs multi-quantum wells Schottky diodes
In this work, two models of artificial neural networks are developed to predict the electrical parameters and capacitance-voltage characteristics of GaAs/AlGaAs multi-quantum wells Schottky diodes at different temperatures. Capacitance-Voltage-Temperature (C–V-T) characteristics for voltages and temperatures in the ranges (-4 V–0 V) and (20 K–400 K), respectively, were used to assess the effectiveness of the proposed approach. The first model (Model 1) is used to evaluate how well the neural network predicts the C–V-T characteristics. The second simulation, known as Model 2, was constructed to simultaneously overcome the problems of determining the electrical parameters and predicting C–V-T characteristics. Model 2 allows the calculation of the built-in voltage, effective density, and capacitance. Three-fold cross-validation and mean square error are used to assess the effectiveness of the developed models. The results clearly demonstrate the high prediction accuracy of the electrical parameters and C–V characteristics at all temperatures. After training, Model 1 Mean Square Error performance is 1.5033×10−6 at 1450 epochs, whereas Model 2 MSE is 4.9951×10−6 at 642 epochs. According to the error distribution frequency histogram, about 95 % of errors for Model 1 and Model 2 lie between [0.00535 and 0.005608] and [0.00328 and 0.00333], respectively. The R-values that correspond to the training and validation datasets for both models are close to one (0.9999). Parameters determination results have been compared against those obtained using ant lion optimizer based method. It was found that the results obtained from the neural networks models strongly agree with the experimental data
Toward a detection approach of surge precursors using a semi-classical signal analysis method
Toward a detection approach of surge precursors using a semi-classical signal analysis metho
Toward a detection approach of surge precursors using a semi-classical signal analysis method
Toward a detection approach of surge precursors using a semi-classical signal analysis metho
France's Algeria Policy (1988-1995): Discourse, Motives and Means
France's Algeria Policy (1988-1995). Discourse, Motives and Means is a study of the French response to political upheavals in Algeria. The October 1988 riots in Algeria sparked off a fast-track democratisation process which was, however, rapidly brought to an end. Following Algeria's Winter 1991/92 first free parliamentary elections through which Islamism imposed itself as the most popular form of political change, a coup d'etat was staged by the Military -- the everlasting nucleus of power in Algeria. Since the coup d'dtat in January 1992 and the subsequent clobbering of the Islamist opposition, Algeria has foundered in a sea of violence. Until now, all political initiatives to bring back the country on the path of civil peace have failed.
Starting from the premise that France's long-run foreign policy objective has always been to preserve its rank as Algeria's "senior foreign partner", this study seeks
to determine what policy France implemented in order to achieve its goal in the context of Algeria's turmoil. The central finding brought to the fore in this thesis is that
France's Algeria policy was a shifting policy. From the 1992 coup d'dtat until the May 1995 French presidential elections, shifts in policy occurred both under the Left
and the Right. In successive stages, the socialist Cresson and Beregovoy governments as well as the right-wing Balladur government supported both "conciliation" and "eradication" in Algeria, which translated into varying degrees of support to the Algerian new rulers. France's shifts from supporting conciliation to backing eradication (January 1993) and from buttressing eradication to calling for conciliation (September 1994) are analysed in the light of three themes that permeate this study : discourse, motives and means
Устойчивое поведение потребителей: исследование через призму теории поколений
Purpose: to present an author-designed methodology for measuring sustainable consumer behavior and the results of its practical evaluation for the verbal modelling of behavior of consumers of generations X, Y and z in conditions of unstable socio-economic and environmental systems.Methods: the study is grounded in the application of methods of content analysis of secondary information and statistical analysis of primary data. Results and implications of the research study are grounded in the use of the author-designed system of indicators of sustainable consumer behavior in the marketing study of the extent of manifestation of such behavior by consumers of generations X, Y, z on a representative sample of 1195 units who reside in more than 200 large cities in Russia.Results: the author-designed customized methodology for measuring sustainable consumer behavior that is grounded in a system of qualitative indicators, classified by clusters of interrelated objectives on sustainable societal development (socio-economic, social and socio-environmental), has been developed. The study findings enabled the authors to identify significant differences in indicators of sustainable behavior of consumers of different generations and to determine their proclivity to exhibit sustainable behavior in the future. The detected differences served as the basis for demonstration of both the verbal models of sustainable behavior of consumers of generations X, Y and z and the possibility to identify generational groups as large market segments for the purposes of differentiating sustainable marketing strategies.Сonclusions and Relevance: the results of testing of the author-designed methodology for measuring sustainable behavior of consumers from different generational groups confirmed the provisions of the generational theory on differences in their behavior, which manifested itself in differentiation of the contribution of consumers of the X, Y, z generations to achieving socio-economic, social and environmental objectives in the country through productive (destructive) behavioral patterns. Therefore, application of generational theory provisions will be instrumental in identifying large target market segments, corresponding to the generational groups with different profiles and models of sustainable behavior, which will require differentiated approach in sustainable marketing.Цель статьи – представить авторскую методику измерения устойчивого поведения потребителей и результаты ее апробации для вербального моделирования потребительского поведения представителей поколений X, Y и z в условиях нестабильности социально-экономических и природных систем.Методы или методология проведения работы: Исследование основано на применении методов контент-анализа вторичной информации и статистического анализа первичных данных. Результаты и выводы работы базируются на использовании авторской системы показателей устойчивого поведения потребителей в маркетинговом исследовании степени проявления подобного поведения потребителями поколений X, Y и z на репрезентативной выборке объемом 1195 элементов, при охвате более чем 200-та крупных городов России.Результаты работы. Разработана и апробирована авторская методика измерения устойчивого поведения потребителей на основе системы качественных показателей, классифицированных в блоки по вкладу в решение взаимосвязанных задач по устойчивому развитию общества: социально-экономических, социальных, социально-экологических. По результатам исследования выявлены существенные различия в устойчивом поведении потребителей из разных поколенческих групп, определена их готовность к проявлению устойчивого поведения в будущем. На основании выявленных различий представлены вербальные модели устойчивого поведения потребителей поколений X, Y и z, показана возможность выделения поколенческих групп в качестве крупных сегментов рынка для дифференцированных стратегий маркетинга устойчивости.Выводы. Результаты апробации авторской методики измерения устойчивого поведения потребителей из разных поколенческих групп подтвердили положения теории поколений о различиях в их поведении, что выразилось в дифференциации вклада потребителей поколений X, Y и z в решение социально-экономических, социальных и социально-экологических задач в стране за счет продуктивных (деструктивных) паттернов поведения. Применение теории поколений позволило выделить крупные целевые сегменты рынка, соответствующие поколенческим группам с разными моделями устойчивого поведения, что потребует дифференцированного подхода в маркетинге устойчивости
