1,721,027 research outputs found
A Bayesian network to predict farms surviving in the organic system: a case study from Marche, Italy
No full textThe maintenance of organic farming production schemes is a theme receiving a growing interest now that there are signs of a slowing in organic farming uptake in Italy. The present study develops a model based on a Bayesian network (BN) that is aimed at investigating the factors that affect the exit of a farm from the organic sector and to simulate the probability of maintaining an organic scheme for different farm types. The model is based on a database of organic farms, which has been integrated with qualitative information. Farm-type simulation and sensitivity analysis of most of the relevant variables have been carried out. Main results show that arable farm types are those with a higher probability to stay in the organic sector, while farmers’ age, province the farm is situated in and farm size are the factors mostly influencing probability scores
A Bayesian network to predict the probability of organic farms’ exit from the sector: A case study from Marche, Italy
No full textThe maintenance of organic farming production schemes is a theme receiving a growing interest now that there are signs of a slowing in organic farming uptake in Italy. The present study develops a model based on a Bayesian network (BN) that is aimed at investigating the factors that affect the exit of a farm from the organic sector and to simulate the probability of maintaining an organic scheme for different farm types. The model is based on a database of organic farms, which has been integrated with qualitative information. Farm-type simulation and sensitivity analysis of most of the relevant variables have been carried out. Main results show that arable farm types are those with a higher probability to stay in the organic sector, while farmers' age, Province the farm is situated in and farm size are the factors mostly influencing probability scores
Real Time Binaural Synthesis of Moving Sound Sources over Loudspeakers
No full textImmersive audio systems have been achieving increasing interest in the field of sound synthesis. These systems can reproduce enhanced perceived acoustic images, obtaining a better sound quality than the classical stereo reproduction. In this paper, a real time implementation of binaural reproduction over loudspeakers is proposed considering moving sound sources. The proposed system is based on an efficient 3D head related impulse responses (HRIRs) interpolation that allows to generate a moving sound source and a recursive algorithm for the crosstalk elimination to obtain a performing reproduction over loudspeakers. To achieve the HRIRs interpolation, the impulse responses are decomposed in time into early reflections and reverberant tail and the first part is then divided into two frequency bands. A peak detection and matching algorithm is reserved for the high-frequency part of the HRIRs and combined with an alignment algorithm before a linear interpolation. The other portions of the HRIRs are simply linearly interpolated and the resulting interpolated HRIR is obtained by the concatenation of early reflections and reverberant tail. Therefore, the input signal is filtered with the interpolated HRIRs and then a crosstalk elimination algorithm, called Recursive Ambiophonic Crosstalk Elimination (RACE), is applied. RACE allows to eliminate the crosstalk starting from the listener-loudspeaker distance, the distance between loudspeakers and the listener head radius and is based on an appropriate inversion, attenuation and delay of the undesired signal. The proposed system has been evaluated through several experimental tests that have confirmed its effectiveness in comparison with the state of the art
A real-time implementation of a 3D binaural system based on HRIRs interpolation
No full textBinaural synthesis is a very important aspect in the field of immersive audio and it requires the knowledge of the head related impulse responses (HRIRs). This paper describes the real-time implementation of an impulse responses interpolation method that allows to obtain an accurate binaural reproduction reducing measurement sets. The method is based on the time decomposition and frequency division of the HRIRs and the application of a peak detection and matching procedure in combination with an alignment algorithm and a linear interpolation. A 3D set-up has been considered and the algorithm has been evaluated by means of objective and subjective tests, comparing it with the state of the art. The obtained results have demonstrated the excellent performance of the proposed system
Analysis of non-compliances in the organic certification system in Turkey
Full text linkOrganic farming in Turkey is experiencing a strong growth in recent years, with a particular attention to export towards Europe. International and domestic trade opportunities require an efficient control system for organic products. In this paper we analyse the data from inspection of two European control bodies in Turkish farms to analyse risk patterns of non-compliance with the organic regulation. A proportion test is performed to identify type of crops that are more likely related to non-compliant operators
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
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
HRTFs Measurement Based on Periodic Sequences Robust towards Nonlinearities in Automotive Audio †
Full text linkThe head related transfer functions (HRTFs) represent the acoustic path transfer functions between sound sources in 3D space and the listener’s ear. They are used to create immersive audio scenarios or to subjectively evaluate sound systems according to a human-centric point of view. Cars are nowadays the most popular audio listening environment and the use of HRTFs in automotive audio has recently attracted the attention of researchers. In this context, the paper proposes a measurement method for HRTFs based on perfect or orthogonal periodic sequences. The proposed measurement method ensures robustness towards the nonlinearities that may affect the measurement system. The experimental results considering both an emulated scenario and real measurements in a controlled environment illustrate the effectiveness of the approach and compare the proposed method with other popular approaches
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