1,721,128 research outputs found
ANAEROBIO: a new model for the sustainability of the generation of energy by biomass anaerobic digestion
No full textAnaeroBIO is a project funded by the Government of Tuscany Region dealt with
the optimised choice and use of different no-food biomasses and wastes destined to energy
production. Suitable mixtures of biomasses available on regional scale as starting materials were
first selected by means of multivariate statistical analysis applied to database collecting
information regarding several aspects of biomasses. Laboratory scale and small pilot-plant scale
experiments for biogas production were carried out on a number of mixtures previously defined
from a proper experimental design. In last phase of project, the development of a predictive
model that could be easily used for feasibility assessment of plants and projects was performe
Detection of land-cover transitions by combining multidate classifiers
No full textThis paper addresses the problem of detecting land-cover transitions by analysing multitemporal remote-sensing images. In order to develop an effective system for the detection of land-cover transitions, an ensemble of non-parametric multitemporal classifiers is defined and integrated in the context of a multiple classifier system (MCS). Each multitemporal classifier is developed in the framework of the compound classification (CC) decision rule. To develop as uncorrelated as possible classification procedures, the estimates of statistical parameters of classifiers are carried out according to different approaches (i.e., multilayer perceptron neural networks, radial basis functions neural networks, and k-nearest neighbour technique). The outputs provided by different classifiers are combined according to three standard stratcaies extended to the compound classification case (i.e., Majority voting, Bayesian average, and Bayesian,weighted average). Experiments, carried out on a multitemporal. remote-sensing data set, confirm the effectiveness of the proposed system
The influence of yellow water to methane production with the anaerobic digestion
No full textThe critical aim of this study is to observe the influence of yellow water for
methane production with anaerobic digestion system and to compare the bacterial activity under
different temperature conditions. This research is one part of the project which called “Aquanova
project” was planed to install the digester in the mountain hut on the Alps Mountain. To realise
the maximum concentration for the yellow water composition of mixed substance for avoiding
the ammonia inhibition is one of the most important research to install this system in the
mountain. The anaerobic digestion with mixed sewage cannot make good performance from
ammonia inhibition by excess amount of yellow water. In these experiments, the adding
possibility and limits of yellow water is tested with different mixed rates. The augmentation of
anaerobic bacteria is necessary in order to take in ammonium ions, but a high concentration of
ammonium causes high concentrations of free ammonia, which is a toxic issue for methanogenic
bacteria. And this parameter has strong dependence from the pH and temperature in the digestion
reactor. Both tests with thermophilic and mesophilic conditions show almost the same limit of
concentration of free ammonia as 150 mg/l. The inoculum which is adapted under normal
condition as domestic waste treatment plant can treat until this concentration of free ammonia
addition without any special adaptation
Combining parametric and non-parametric algorithms for a partially unsupervised classification of multitemporal remote-sensing image
No full text
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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