Search results for "eco"
showing 10 items of 57386 documents
Seeing red? Colour biases of foraging birds are context dependent.
2020
Funder: Suomen Kulttuurirahasto; doi: http://dx.doi.org/10.13039/501100003125
Waste heat recovery from a marine waste incinerator using a thermoelectric generator
2012
Published version of an article published in the journal: Journal of Electronic Materials. Also available from the publisher at: http://dx.doi.org/10.1007/s11664-012-2009-6 A marine waste incinerator has been evaluated for waste heat harvesting using thermoelectric generators (TEG). The application has been evaluated using mathematical modeling to optimize the heat exchanger and some vital design parameters of the TEG. The calculation shows that it is possible to extract 58 kW el at a price of 6.6 US$/W from an 850-kW th incinerator when optimizing for maximum power. However, minimizing the cost, it is possible to get 25 kW el at a price of 2.5 US$/W. A trade-off between the two targets lea…
The role of microbial ecology during biogas production from renewable energy sources. Characterizing microbial community structures in bioenergy prod…
2019
La Microbiología tiene un rol fundamental en la integración de procesos para la recuperación de nutrientes, energía y agua durante el tratamiento biológico del agua residual. La identificación de los grupos microbiológicos clave, así como de sus dinámicas, ecología y estructuras microbianas, mejorará el entendimiento de los procesos que integran las futuras plantas de recuperación de recursos, conocidas por sus siglas en inglés como Water Resource Recovery Facilities (WRRF). Este conocimiento podría ser de gran utilidad durante la optimización de sistemas anaerobios que recuperan energía a partir de fuentes de biomasa renovables. Hasta la fecha, diferentes estudios han demostrado que la com…
Biopolymer Recovery from Aerobic Granular Sludge and Conventional Flocculent Sludge in Treating Industrial Wastewater: Preliminary Analysis of Differ…
2022
The recovery of biopolymers from sewage sludge could be a crucial step in implementing circular economy principles in wastewater treatment plants (WWTP). In this frame, the present study was aimed at evaluating the simultaneous production of polyhydroxyalkanoates (PHA) and extracellular polymeric substances (EPS) obtainable from the treatment of agro-industrial wastewater. Two biological enrichment systems, aerobic granular sludge (AGS) and a conventional activated sludge operating as a sequencing batch reactor (SBR), were monitored for 204 and 186 days, respectively. The maximum biopolymers accumulation capacity was close to 0.60 mgPHA-EPS gVSS−1 in the AGS when operating at 3 kgCODm…
FRUIT AND LEAF SENSING FOR THE CONTINUOUS MONITORING OF TREE WATER STATUS IN HIGH-DENSITY ORCHARD SYSTEMS
Rivelazione e Caratterizzazione di Consorzi Microbici in Reperti Lignei Sommersi
2009
In questa lavoro sono state affrontate le problematiche relative alla valutazione dello stato di conservazione del legno archeologico sommerso (waterlogged wood) in relazione ai fattori che ne inducono il degrado. L’attenzione è stata rivolta ai processi di biodeterioramento, indotti dall’attività di alcuni microrganismi che utilizzano le componenti principali del legno, la cui identificazione è stata eseguita ricorrendo a tecniche sia colturali sia molecolari. In particolare, le tecniche molecolari che si sono rivelate di immediata applicazione per lo studio e la caratterizzazione dei microrganismi che colonizzano i beni di interesse storico artistico e i manufatti d’interesse archeologico…
Anomaly detection using one-class SVM with wavelet packet decomposition
2011
Anomaly detection has become a popular research topic in the field of machine learning. Support vector machine is one anomaly detection technique and it is coming one the most widely used. In this research, anomaly detection is applied to road condition monitoring, especially pothole detection, using accelerometer data. The proposed concept includes data preprocessing, feature extraction, feature selection and classification. Accelerometer data was first filtered and segmented, after which features were extracted with frequency- and time-domain functions, with genetic programming and with wavelet packet decomposition. A classification model was built using support vector machine and the cal…
Una más de la familia. Au pairs atrapadas entre el capital humano y la economía moral
2018
In contemporary societies we are witnessing an expansion of the messages of human capital. These messages have as their central dimension idea of the self-entrepreneur, which implies a deepening in the logic of activation, while blurring the wage relations. In this scenario, young people with university degrees are becoming a favourite target in the offensive of human capital. The penetration of these human capital messages can be seen in the discourses of young university students who have been forced to leave the country during the crisis. In the present text we approach the discourses of young women who came out as au pairs. The characteristics of this figure place it in a space halfway …
Structural Equation Modeling in Research on Brand Capital in Higher Education
2016
This research is done in order to examine the role of the brand capital in higher education. For this purpose, we analyze the main contributions of the literature related to the study of the brand capital and its application in the educational sector, identifying which variables determine the brand capital in the higher education sector. Once we establish the susceptible brand capital in the higher education sector, an empirical research is done by using a questionnaire developed in Spanish language with a Likert scale of grade 5 in which 1 point means "strongly disagree" and 5 mean "strongly agree", being based on the measurement scales…
Music adviser : emotion-driven music recommendation ecosystem
2017
In respect of the big amounts of music available in the web, people met the problem of choice. From another side, practically unlimited resources can bring us new opportunities in the music context. Efficient data management engines which are smart and self managed are in demand nowadays in the music industry to handle music sources amounts of which are coming towards to infinity continuously. This study demonstrates feasibility of the emotional based personalization of music recommendation system. There is still gap between human and artificial intelligence, robotics do not have intuition and emotions which represent critical point of recommendations. Taking into account significant influe…