114 research outputs found

    Using Context to Improve Predictive Modeling of Customers in Personalization Applications

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    FEW SHOT PHOTOGRAMETRY: A COMPARISON BETWEEN NERF AND MVS-SFM FOR THE DOCUMENTATION OF CULTURAL HERITAGE

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    3D documentation methods for Digital Cultural Heritage (DCH) domain is a field that becomes increasingly interdisciplinary, breaking down boundaries that have long separated experts from different domains. In the past, there has been an ambiguous claim for ownership of skills, methodologies, and expertise in the heritage sciences. This study aims to contribute to the dialogue between these different disciplines by presenting a novel approach for 3D documentation of an ancient statue. The method combines TLS acquisition and MVS pipeline using images from a DJI Mavic 2 drone. Additionally, the study compares the accuracy and final product of the Deep Points (DP) and Neural Radiance Fields (NeRF) methods, using the TLS acquisition as validation ground truth. Firstly, a TLS acquisition was performed on an ancient statue using a Faro Focus 2 scanner. Next, a multi-view stereo (MVS) pipeline was adopted using 2D images captured by a Mini-2 DJI Mavic 2 drone from a distance of approximately 1 meter around the statue. Finally, the same images were used to train and run the NeRF network after being reduced by 90%. The main contribution of this paper is to improve our understanding of this method and compare the accuracy and final product of two different approaches - direct projection (DP) and NeRF - by exploiting a TLS acquisition as the validation ground truth. Results show that the NeRF approach outperforms DP in terms of accuracy and produces a more realistic final product. This paper has important implications for the field of CH preservation, as it offers a new and effective method for generating 3D models of ancient statues. This technology can help to document and preserve important cultural artifacts for future generations, while also providing new insights into the history and culture of different civilizations. Overall, the results of this study demonstrate the potential of combining TLS and NeRF for generating accurate and realistic 3D models of ancient statues

    CHALLENGING ARCHITECTURES: AN INTEGRATED AND MULTIPURPOSE SURVEY FOR THE COMPLETE MAPPING OF THE EMIR PALACE IN KOGON (UZBEKISTAN)

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    The documentation of Cultural Heritage, and in particular architecture, is nowadays conducted with a combination of several geomatic techniques. Most of them relies on the exploitation of 3D point cloud, which is the state of art data to produce almost every output. The starting point of each recovery intervention is the survey, which enable a multidisciplinary approach for the knowledge of a building and, consequently, to preserve it for future generation. When it comes with complex architectures, however, the surveying approach is more compelling and challenging at the same time. The definition of the final accuracy requires a tidy design process that should be done a priori, and a set of strict rules need to be respected. With the advent of new automatic procedures, the number of data collected increases, but this doesn’t mean that well established method, like topography, can be neglected. This work is the demonstration of how old and new method must coexist. The present work describes the work carried out to the complete 3D reconstruction of a complex building, namely the Emir’s Palace place in Kogon, Uzbekistan. Given its dimension and decorative apparatus, maintaining a high standard of definition without losing metrological accuracy was the main challenge. The work was carried out with a combination of both Terrestrial Laser Scanner and Aerial Photogrammetry for the 3D reconstruction, and on a very accurate topographic network for the combination of produced point clouds. The result of this first phase of the work was a polygonal network with a millimetric accuracy. Besides, another important contribution of the paper lies on the exploitation of the panoramic images coming from the TLS within a photogrammetric software. Indeed, by exploiting the depth map, it was possible to produce very detailed orthophotos for the production of 1:10 scale drawings. The work, performed in a joint venture between Academia and SMEs, is an excellent example (useful to be shared within the research community dealing with 3D representation and optimization) of innovative methodologies developed to produce reliable drawings and 3D representation for different purposes, being the starting point for each kind of project

    Build-Up/Wash-Off Monitoring and Assessment for Sustainable Management of First Flush in an Urban Area

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    The characterization of stormwater runoff on urbanized surfaces by means of comparison between experimental data and simulations is a strict requirement for a sustainable management of urban sewer systems. A monitoring campaign was carried out within a residential area in Puglia (Southern Italy) in order to collect and evaluate quantity and quality data. A strong correlation was observed between COD (Chemical Oxygen Demand) and TSS (Total Suspended Solid) concentrations, whose values exceed water quality standards. TSS was used for calibration of Storm Water Management Model (SWMM) which was then validated with reference to the pollutograph’s shape and the peak-time. The first flush phenomenon occurrence was also investigated by looking at the distribution of pollutant mass vs. volume in stormwater discharges, using the so-called “M(V) curves”. Results show that on average the first 30% of that washed off carries 60% of TSS and provides important information for the design of efficient systems for first flush treatment

    Biocompounds recovery from Spirulina by conventional and ohmic heating methodologies: chemical and biological properties

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    Extracting the totality of bio-compounds with industrial interest from Cyanobacterium is often prevented by the intrinsic rigidity of its cell wall. In this sense, the present study focuses on evaluating the influence thermal batch extraction (conventional extraction technologies) and ohmic heating (OH) assisted extraction (considered a greener alternative technology) in blue green microalgae Arthrospira platensis (Spirulina) cell disruption for bioactive fractions recovery. The proximal composition of Spirulina was initially determined. The maximum protein content (i.e., CPhycocyanin), total carbohydrates (TC) and total phenolic compounds (TPC) extracted in water at different times (30-120 min) and temperatures (30-51 ÂșC) was quantified after the conventional and OH- assisted extraction. The freeze-thawing process was used as control. The antioxidant activity (i.e., FRAP and DPPH assays) of the obtained extracts was assessed. Results showed that with the freeze-thawing process, traditionally used for the recovery of bio- compounds from Spirulina, the concentration of C-phycocyanin was approx. 42 mg/g of Spirulina, 26 mgGlcE/g Spirulina of TC and 9 mgGAE/g Spirulina of TPC. Using OH-assisted extraction, the maximum of C-Phycocyanin content obtained was 45 mg/g of Spirulina (obtained at 37 ÂșC, 30 min), the maximum carbohydrates content was 40 mgGlcE/g Spirulina and the maximum TPC was 10 mgGAE/g Spirulina. On the other hand, using conventional thermal treatment it can be observed that, under the same conditions, the bioactive compounds recovery decreased to 35 mg/g, 20 mgGlcE/g Spirulina for C-phycocyanin concentration and TC (p<0.05), respectively. The concentration in phenolic compounds is not so affected, but even so the ohmic heating potentiates the extraction of these secondary metabolites. The antioxidant activity of the extracts there was not different between conventional treatments andOH. Thus, the results indicated that OH is a good alternative to conventional methods aiming at the extraction of intracellular components with a decrease in processing time and energy costs associated with the extraction process, which together with an easy upscale make OH an interesting methodology for use in the industrial production of microalgae colorants and bioactive supplements.info:eu-repo/semantics/publishedVersio

    Rotondas red eggplant: nutritional characterization and extractionof high added value biocompounds using emerging electrotechnologies

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    Rotondas Red Eggplant belongs to the family of Solanum aethiopicum species, cultivated in a specific area of Potenza (Basilicata, Italy) and has gained the Protected Designation of Origin certification. Recently, Red Eggplant was associated with different biological properties, related to health benefits, as antioxidant, hypoglycemic, antihypertensive and hypolipidemic, probably due to its chemical composition. The search for "greener" technologies has been one of the focus of research, having in mind industrial applications. In this sense, electrotechnologies, such as ohmic heating (OH), have been explored, showing to have potentially lower energy costs, higher extraction yields, being less time consuming and increasing the biocompounds chemical stability. The aim of this study was to determine the chemical/nutritional composition of Red Eggplant and to assess conventional and OH methods in the extraction and recovery of the main bio-compounds present in this material. Red Eggplant was characterized for the nutritional profile (AOAC procedures): proteins, carbohydrates, total extractives, lipids, ash and minerals. The selected conditions for the extraction of the main biocompounds, for conventional and OH methods, were: solid/liquid ratio 1:10 (w:v), 80 °C, 25 min and water or mixture of 50% (v/v) ethanol/water as a solvent. Subsequently, assays were carried out to determine the content of proteins (Bradford), total carbohydrates (phenolsulfuric acid) and phenolics (Folin-Ciocalteu), and antioxidant activity (FRAP and DPPH) of the obtained extracts. Monosaccharides profile after hydrolysis and phenolics were also quantified by HPLC. Results showed that carbohydrates were the major macronutrient, followed by protein, lipids and ash. K, Ca and Mg were the major minerals. Regarding the monosaccharide composition, glucose, fructose, xylose and arabinose were the most abundant sugars. Ethanolic extractives represented approximately 46 % of the Red Eggplant composition. Independently of the solvent, higher amounts of polyphenols, proteins and carbohydrates were extracted when OH was applied. Moreover, OH extracts showed greater antioxidant activity compared to extracts obtained by the conventional extraction method. According to the polyphenol profile of the extracts the main compounds found were taxifolin, rutin and rosmarinic acid. These results demonstrate the potential of this vegetable to be used for nutraceuticals or functional food.The authors wish to thank for the financial support to funding program Marie SkƂodowska-Curie grant (MSCA-RISE; FODIAC; 778388). Pedro Santos is recipient of a fellowship supported by a doctoral advanced training (call NORTE-69-2015-15), funded by the European Social Fund under the scope of Norte2020 - Programa Operacional Regional do Norte (NORTE-08-5369-FSE-000036). Zlatina Genisheva is supported by the project OH2O (POCI-01-0145-FEDER-029145) funded by FCT and Fundo Europeu de Desenvolvimento Regional (FEDER) under the scope of Programa Operacional de Competividade e Internacionalizaçao (POCI)-COMPETE 2020 and Portugal 2020.info:eu-repo/semantics/publishedVersio

    Influence of thermal and electrical effects of ohmic heating on C-phycocyanin properties and biocompounds recovery from Spirulina platensis

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    Spirulina platensis is interesting for the food industry due to its overall composition and high content in C-phycocyanin. However, the sensitivity of C-phycocyanin makes its extraction a delicate process. The present study focuses on assessing the use of ohmic heating (OH) in the recovery of C-phycocyanin and other relevant compounds as an alternative method to freeze-thawing or conventional heating. Different ohmic and conventional heating treatments were applied both to purified C-phycocyanin and Spirulina powder. Evaluation of fluorescence and circular dichroism showed that moderated electric fields increased C-phycocyanin stability. This was confirmed in the extraction trials which revealed that OH assisted extraction at higher temperatures (44°C), and shorter times (30min) allowed significant higher extraction yield of C-phycocyanin (45 mg/gdw Spirulina), in comparison with conventional heating and freeze-thawing. OH allowed also up to 80% higher yields in phenolic compounds and carbohydrates.This study was supported by the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of UIDB/04469/2020 unit and BioTecNorte operation (NORTE-01-0145-FEDER000004) funded by the European Regional Development Fund under the scope of Norte2020 - Programa Operacional Regional do Norte. The study was also supported by the European Union's Horizon 2020 research and innovation programme under the Marie SkƂodowska-Curie grant (MSCA-RISE; FODIAC; 778388) and project OH2O – POCI-01-0145-FEDER-029145 (FCT and COMPETE2020). Pedro Santos is recipient of a fellowship supported by a doctoral advanced training (call NORTE-69-2015-15), funded by the European Social Fund under the scope of Norte2020 - Programa Operacional Regional do Norte (NORTE-08-5369-FSE-000036).info:eu-repo/semantics/publishedVersio

    Co-infections and multiple stressors in fish

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    Fish are typically exposed to multiple physical, chemical and biological stressors. The cumulative impact of co-infections between parasites, bacteria, viruses and (a)biotic environmental pressures may trigger complex interactions, eliciting different pathological and immunological outcomes than those classically assessed. New cross-disciplinary studies attempt to measure the impact of environmental stressors in modulating the host response to pathogens. Scientific advances are needed to reduce pressure on natural populations, improve fish stock management, and to design more efficient diagnostic tools or vaccination strategies. An EAFP-promoted workshop, held on 10th September 2019 in Porto, Portugal, was dedicated to sharing research experiences on the interaction between heterogenous pathogens and multiple stressors in fish. The workshop involved around 200 attendants, opened by a keynote talk (Fast), and followed by a further twelve oral presentations, including three in the format of lash poster presentations. Contributions illustrated cross-disciplinary approaches to study complex host-pathogen and stressors interactions

    An actionable knowledge discovery system in regular sports services

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    This work presents an actionable knowledge discovery system for real user needs with three steps. In the first step, it extracts and transforms existing data in the databases of the ERP and CRM systems of the sports facilities and loads them into a Data Warehouse. In a second phase, predictive models are applied to identify profiles more susceptible to abandonment. Finally, in the third phase, based on the previous models, experimental planning is carried out, with test and control groups, in order to find concrete actions for customer retention.info:eu-repo/semantics/publishedVersio

    Extracting actionable knowledge to increase business utility in sport services

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    The increase in retention of customer in gyms and health clubs is nowadays a challenge that requires concrete and personalized actions. Traditional data mining studies focused essentially on predictive analytics, neglecting the business domain. This work presents an actionable knowledge discovery system which uses the following pipeline (data collection, predictive model, loyalty actions). In the first step, it extracts and transforms existing real data from databases of the sports facilities. In a second step, predictive models are applied to identify user profiles more susceptible to dropout. Actionable rules are generated based on actionable attributes that should be avoided, in order to increase retention. Finally, in the third step, based on the previous actionable knowledge, experimental planning is carried out, with test and control groups, in order to find the best loyalty actions for customer retention. This document presents a simulation and the measure of the business utility of an actions sequence to avoid dropout.info:eu-repo/semantics/publishedVersio
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