Alfonso Montuori's research while affiliated with Politecnico di Torino and other places

... Their ontology is build using the Protégé application and is grounded on existing upper ontological framework like SKOS, and FOAF. In (Berta et al, 2016) Berta et al. describe the Urban Morphology Ontology (UMO) for describing, in generative terms, the structure of urban fabrics. The goal is to support urban designers in the early stages of design process, like street pattern and massing definition, by generating in real time a number of design scenarios, starting from a large number of constraints and requests. ...

... The propose of the model is to inform future policy decisions. Finally, in Caneparo et al. [105] (Fig. 14, right), agents again represent buildings, however the objective of the model in this case is design exploration. Its purpose is to explore the mechanisms underlying the generation of urban form. ...

... anthropometrical) relations among raw data, as well as general cinematic behaviour and their dependency from environmental and ergonomic factors. Anyway the two faces of the same problem should better be de-coupled upon availability of an explicit model for cinematic relations only [3]. This hybrid approach is justified by a set of reasons, listed below. ...

... or http://dx.doi.org/10.1051/3u3d/201202010 Usage, Usability, and Utility of 3D City Models applications heavily use topological relations, urban rules are expressed with intervisibility and distance criteria [2, 3]. Research on data integrity use relations as integrity constraints [4]. ...

... Sub-band coding [9] is a method for calculating the Discrete Wavelet Transform. The whole sub-band process consists of a filter bank, and filters of different cutoff frequencies are used to analyze the signal at different scales. ...

... This is the reason why it is necessary to use several methods to find the one that provides the best prediction [37]. In the literature, many studies in Europe, China, Korea, and the United States have already used ML methods to forecast PM 10 concentrations [32,35,36,[38][39][40][41][42][43][44][45][46]. To our knowledge, no study has yet used ML models to forecast PM 10 concentrations in the Caribbean area. ...

... The velocity of the latest generations of DSP's have increased to the point where they are being used in high speed applications like DSL, wireless base stations and hand sets. Other applications include the implementation of video coding motion (Louro et al., 2003), Realtime audio transmission (Pasero & Montuori, 2003), e-commerce security (Jiankun et al., 2001), digital signal Processing system design (Kehtarnavaz et al., 2004) and implementation of facial recognition algorithms (Batur et al., 2003). Some of the advantages resulting are the integrated digital circuits that are very reliable and can be automatically inserted in boards easily. ...

... As a result, conventional batch/offline learning algorithms, which are unable to react/adapt to such changes, often present a deterioration of their prediction accuracy. Forecasting PM concentration, therefore, may be better suited by machine learning techniques properly developed to deal with data streams [3], [7], [4]. ...

... motion prototypes annotated with behavioural tags combination based on height (foot elevation) criteria -2nd order derivative to extract and combine basic motions priority (importance) levels and weights based combination segmenting data and recombining with transitional motions combining non-overlapping data based on spacetime constraints timewarping to match motion sequences fade-in, fade-out functions curve blending functions interpolation between motion sequences grouping mutually exclusive motions for faster combination » » Generality Ó Ó [Grzeszczuk and Terzopoulos, 1995] use NNs for learning motion (from examples or positioning feedback), but apply it only to simple articulations. [Bellan et al., 1998] suggests a data-driven NN approach that is aimed to grasp the essence and variability of human movement. The approach taken in [Gritz, 1999] to achieve physical simulation with the aid of genetic programming (GP) to produce controller programs is similar. ...

... tti et al. 2008, Tan and Jones 2008) and support vector machine (Zhang 2008) have been introduced to evaluate the qualities of protein models. The Model Evaluator method (Zheng Wang 2008) compares structure features generated from a 3D model with those predicted from its primary sequence and obtaines high correlation on the CASP6 and CASP7 dataset. Montuori et al. (2008) formulated the model quality assessment as a classification task, and presented an information theory-based approach to select an optimal subset of structural features for the assessment of protein model accuracy. Costantini et al. (2007) analyzed structural properties that characterize protein globularity and suggested an operative pro ...