Search results for "Machine"

showing 10 items of 2592 documents

PROTEIN SECONDARY STRUCTURE PREDICTION: HOW TO IMPROVE ACCURACY BY INTEGRATION

2006

In this paper a technique to improve protein secondary structure prediction is proposed. The approach is based on the idea of combining the results of a set of prediction tools, choosing the most correct parts of each prediction. The correctness of the resulting prediction is measured referring to accuracy parameters used in several editions of CASP. Experimental evaluations validating the proposed approach are also reported.

Set (abstract data type)Bioinformatics Protein PredictionCorrectnessComputer sciencebusiness.industryArtificial intelligenceData miningMachine learningcomputer.software_genreProtein secondary structure predictionbusinessCASPcomputerApplied Artificial Intelligence
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On handling exceptions

1995

The current literature of information systems has dealt extensively with all kinds of exceptions. There are several studies defining the concept of exception and even providing classifications. However, no studies provide a method for verifying the rules in order to handle exceptions and to achieve the goals set by an organization's rules. In this paper, a model employing a set of unique input/output (UIO) sequences is presented for verifying such rules. The model originally presented for Finite State Machines (FSM) has been modified to include concepts of exception handling and will be used to form a tool usable for verifying exception handling rules in OISs.

Set (abstract data type)Finite-state machineProgramming languageComputer scienceException handlingInformation systemData miningUSablecomputer.software_genrecomputerProceedings of conference on Organizational computing systems - COCS '95
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Applied study on the rotational molding and processing technology of rotational molds

2021

Computer-aided manufacturing involves a set of computerized activities related to the preparation, launch and follow-up of manufacturing. Computer-aided manufacturing is a tool that allows the use of 3D models based on computer-aided design. This paper addresses the process of rotational formation, with an effective focus on the technology of processing a rotational mold using CAM simulation as a research method. In this sense, the right choice of CNC and cutting tools is essential. The use of numerically controlled machine tools and high-performance cutting tools reduces the number of operations. The manufacturing route realized is specific to the parts machining on numerical control machi…

Set (abstract data type)Flexibility (engineering)Focus (computing)business.product_categoryMachiningNumerical controlProcess (computing)Control engineeringTA1-2040Engineering (General). Civil engineering (General)businessRotational moldingMachine toolMATEC Web of Conferences
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Mapping soil compaction measuring cone penetrometer resistance

2003

The quickest way for monitoring soil compaction differences in a field is measuring cone penetrometer resistance. Soil compaction can be significantly spatially variable, depending on the amount and distribution of the traffic of agricultural machines in the field. Therefore, it could be useful to measure soil compaction on a localised basis, in order to produce maps of the damages caused by the traffic of agricultural machines and/or the action of tillage implements. Aim of this paper is to present a system developed by the Department I.T.A.F. for the geo-referenced measurement of cone penetrometer resistance and for mapping soil compaction. This system was built fitting a minitransporter …

Settore AGR/09 - Meccanica AgrariaSoil compaction cone penetrometer resistance agricultural machine traffic DGPS maps
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Predicting reservoir water volumes in the Mediterranean area by combining a data-driven approach with seasonal forecasts data

Settore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaMachine learning reservoir volumes drought seasonal forecast
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Revealing the nature of metakaolin-based concrete materials using artificial intelligence techniques

2022

In this study, a model for the estimation of the compressive strength of concretes incorporating metakaolin is developed and parametrically evaluated, using soft computing techniques. Metakaolin is a component extensively employed in recent decades as a means to reduce the requirement for cement in concrete. For the proposed models, six parameters are accounted for as input data. These are the age at testing, the metakaolin percentage in relation to the total binder, the water-to-binder ratio, the percentage of superplasticizer, the binder to sand ratio and the coarse to fine aggregate ratio. For training and verification of the developed models a database of 867 experimental specimens has …

Settore ICAR/09 - Tecnica Delle CostruzioniGeneral Materials ScienceBuilding and ConstructionArtificial neural networks Compressive strength Concrete Machine learning Metakaolin Mix designCivil and Structural Engineering
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Fake News. Soluzioni design driven per il citizen journalism

2022

Il progetto PO FESR “Fake News” sviluppa una ricerca che mette in campo le metodologie e gli strumenti progettuali del design della comunicazione e dell’informazione con l’obiettivo di elaborare nuove possibilità di rendere più efficaci i meccanismi automatici di valutazione dell’autenticità, originalità e rilevanza dell’informazione prodotta dal giornalismo partecipativo. Nell’ambito interdisciplinare (giornalismo, informatica, sociologia, etc.) interessato dal progetto, il contributo del design ha articolato un’ampia ricognizione sulle molteplici dimensioni del fenomeno e in particolare sulle interazioni tra design dell’informazione e giornalismo etico e partecipativo. Le connessioni tra …

Settore ICAR/13 - Disegno IndustrialeFake news design dell'informazione machine learning giornalismo partecipativo intelligenza artificiale
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Fake News. Progetto di un algoritmo contro le false verità

2022

As part of the Smart Specialization Strategy (RIS3), funded by the European Union, the Sicilian Region has promoted the Fake News project in agreement with the aim of developing information exchange and comparison tools online. The goal is to concentrate European resources in emerging technological sectors that can really develop in the same region by focusing on the construction of local knowledge, rather than on the transfer of high-cost external technological resources. Fake News project has the main objective the experimentation of advanced ICT technologies (artificial intelligence) applied to the phenomenon of disinformation, through the dialogue between the private entrepreneur (a com…

Settore ICAR/13 - Disegno Industrialefake news participatory journalism information design machine learning
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Integration of a structural features-based preclassifier and a man-machine interactive classifier for a fast multi-stroke character recognition

2003

A transputer-based parallel machine for handwritten character recognition is proposed. An algorithm based on structural features and on a tree classifier was used to accomplish the pre-classification of the unknown sample in order to speed up the recognition process. The algorithm for the final classification is based on the description of the strokes through Fourier descriptors. The learning phase is accomplished through a man-machine interactive process. The proposed system can expand its knowledge base. A special representation of this knowledge base is proposed in order to record a great amount of data in a suitable way. A fast multistroke handwritten isolated character recognition syst…

Settore INF/01 - InformaticaComputer scienceIntelligent character recognitionbusiness.industrySketch recognitionPattern recognitionDocument processingIntelligent word recognitionComputingMethodologies_PATTERNRECOGNITIONFeature (machine learning)Artificial intelligencebusinessClassifier (UML)Man machine systems Character recognition Humans Handwriting recognition Pattern recognition Parallel machines System testing Performance evaluation Prototypes Energy management
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A Medium Level Language for Pyramid Architectures

1989

In the paper a Parallel C Languages for pyramid architectures is described. The concept of context is introduced in order to handle concurrence between processes in massive parallel machines. Feature implementation on the PAPIA-machine are given.

Settore INF/01 - InformaticaComputer scienceSpeech recognitionConcurrencyPyramidFeature (machine learning)ConcurrenceContext (language use)Parallel computingParallel languages Concurrency Image Analysis Pyramids.
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