2,391 research outputs found
Nicola nera
No full textIl vitigno 'Nicola nera' è stato citato per la prima volta da Basso (1992) che lo riportò in Garfagnana (Lucca), dove recentemente è stato nuovamente censito e caratterizzato (D'Onofrio et al., 2015).E' sporadicamente diffuso in Garfagnana. Il suo profilo microsatellite non corrisponde a nessuno dei genotipi attualmente presenti nei vari database viticoli, suggerendo che sia un vitigno strettamente autoctono della Garfagnana.
Presenta relazioni di parentela di primo grado con i vitigni 'Rossara tardive nera', 'Farinella nera', Corvara nera' e 'Buoan bianco' tutti vitigni esclusivamente presenti in garfagnana, ma anche 'Barbarossa toscana' e 'Sciarrarello nero' entrambi sporadicamente presenti in Garfagnana ma non autoctoni di quest'area. Inoltre, le analisi su 14 loci microsatelliti indicano che potrebbe essersi originato da un incrocio spontaneo tra 'Farinella nera' e 'Sciaccarello nero'.L’uva ha la polpa dolce, sapore neutro. Matura in 2° epoca
Quality Improvement in Hot Dip Galvanizing Line through hybrid Case-Based Reasoning System
No full textA Method to Point Out Anomalous Input-Output Patterns in a Database for Training Neuro-Fuzzy System with a Supervised Learning Rule
No full textAuthor Meets Reader: Not the Marrying Kind: A Feminist Critique of Same-Sex Marriage
No full textThis is an audio recording of an author meets reader session held at the SLSA Annual Conference, University of York, 27 March 2013. Nicola Barker's book, Not the Marrying Kind: A Feminist Critique of Same-Sex Marriage, was the winner of the 2013 Hart SLSA Book Prize. In the session she introduces the book and then engages in discussion about it with Daniel Monk
South Thompson Valley and Pinantan official settlement plan.
No full textThe recommended policies contained in this plan provide the Thompson-Nicola Regional District with the means to protect and enhance the agricultural economic base, regulate the supply and location of rural residential growth, guide commercial and industrial development and satisfy the historical, recreational, social and environmental concerns of the settlement plan area.Not peer reviewedPlanning documen
Rural Residential Study
No full textThe Thompson-Nicola Regional District has recently been grappling with some of the basic problems and conflicts of trying to provide for rural residential lot demand and, at the same tie, trying to protect the resources, aesthetics and social climate of existing rural area.Not peer reviewedstudydraf
A procedure for the detection of anomalous input-output patterns
No full textData preprocessing is a main step in data mining because real data can be corrupted for different causes and high performance data mining systems require high quality data. When a database is used for training a neural network, a fuzzy system or a neuro-fuzzy system, a suitable data selection and pre-processing stage can be very useful in order to obtain a reliable result. For instance, when the final aim of a system trained through a supervised learning procedure is to approximate an existing functional relationship between input and output variables, the database that is exploited in the system training phase should not contain input-output patterns for which the same input or similar input sets are associated to very different values of the output variable. In this paper a procedure is proposed for detecting non-coherent associations between input and output patterns: by comparing two distance matrices associated to the input and output patterns, the elements of the available dataset, where similar values of input variables are associated to quite different output values can be pointed out. The efficiency of the proposed algorithm when pre-processing data coming from an industrial database is presented and discussed
Prediction of under pickling defects on steel strip surface
No full textAn extremely important part of the finishing line is the pickling process, in which oxides formed during the hot rolling stage are removed from the surface of the steel sheets. The efficiency
of the pickling process is mainly dependent on the nature of the oxide present at the surface of the steel, but, also, on process parameters such as bath composition and time duration are relevant. When acid concentration, solution temperatures and line speed are not properly balanced, in fact, sheet defects like under pickling or over pickling may happen and their occurrence does have a very serious effect on cold-reduction performance and surface appearance of the finished product. Furthermore, product damage from handling or improper equipment adjustment can render the steel unsuitable for further processing. This is the reason why it is important that process significant parameters are controlled and maintained as accurately as possible in order to avoid these undesired phenomena. In the present work, a control algorithm, composed by two different modules, i.e. decision tree and rectangular Basis Function Network, has been implemented to aim of predicting pickling defects and suggesting the optimal speed or the admissible speed range of the steel strip in the process line. In this way the most suitable line speed value can be set in an automatic way or by the technical personnel
Detection of rare events within industrial datasets by means of data resampling and specific algorithms
No full textThe paper deals with the problem of the detection of rare patterns in unbalanced datasets coming from the industrial world. Such kind of patterns usually correspond to not frequent but very relevant events, such as the occurrence of product defects and machine faults. Within this work several approaches have been tested for the development of classifiers whose performance are able to meet the industrial requirements, i.e. a high rate of recognition of unfrequent patterns. Considered the unbalanced nature of the available datasets, most known techniques used for dealing with this kind of databases (i.e. resampling techniques and specific algorithms) have been investigated and assessed, subsequently the most promising ones have been combined in order to exploit their advantages. This latter combination led to satisfactory results which make the developed classifier usable in the industrial field
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