Search results for "Data type"

showing 10 items of 1183 documents

An Optical Technique for Springback Measurement in Axisymmetrical Deep Drawing Operations

2001

Abstract In this paper, a measurement technique based on the shadow moire method has been set up to evaluate the springback phenomenon in deep drawing operations. Two proper coefficients are introduced to quantitatively describe the investigated effect. In particular, the proposed technique is able to acquire the final profile of the drawn parts along one or more lateral contour, once extracted out from the dies, and compare such profile with the ideal one derived from the dies CAD geometry. The proposed technique has been applied to an axisymmetrical deep drawing operation, and, moreover, the influence of the blankholder force level and lubricating conditions has been taken into account. T…

Set (abstract data type)Shadow moireMaterials scienceForce levelbusiness.industryStrategy and ManagementCADStructural engineeringManagement Science and Operations ResearchDeep drawingbusinessIndustrial and Manufacturing EngineeringFinite element methodJournal of Manufacturing Processes
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Features for Text Comparison

2008

The main purpose of this paper is to deliver appropriate tool to find similarities between texts. The area of interest covers comparing large amount of different texts grouped in various areas of knowledge. Similarity is defined as distance between two texts and as this the measure may be calculated as the set of parameters based on features.

Set (abstract data type)Similarity (network science)Computer sciencebusiness.industryArea of interestArtificial intelligencebusinesscomputer.software_genreMeasure (mathematics)computerNatural language processing
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Induced ℓ<inf>2</inf> control of discrete-time Takagi-Sugeno fuzzy systems with time-varying delays via dynamic output feedback

2012

This paper is concerned with analyzing a novel model transformation of discrete-time Takagi-Sugeno (T-S) fuzzy systems with time-varying delays and applying it to dynamic output feedback (DOF) controller design. A new auxiliary model is proposed by employing a new approximation for time-varying delay state, and then delay partitioning method is used to analyze the scaled small gain of this auxiliary model. A sufficient condition on discrete-time T-S fuzzy systems with time-varying delays, which guarantees the corresponding closed-loop system to be asymptotically stable and has an induced l 2 disturbance attenuation performance, is derived by employing the scaled small gain theorem. Then the…

Set (abstract data type)Small-gain theoremDiscrete time and continuous timeControl theoryStability theoryModel transformationFuzzy control systemState (functional analysis)computercomputer.programming_languageMathematics2012 IEEE 51st IEEE Conference on Decision and Control (CDC)
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A Tool-Based Approach for Essentializing Software Engineering Practices

2019

Software Engineers work using highly diverse methods and practices, and general theories in software engineering are lacking. A recent attempt at creating a common ground in the area of software engineering methodologies has been the Essence Theory of Software Engineering. Essence is a method-agnostic progress management framework and a meta-method for Software Engineering (SE). However, tooling for Essence is still lacking. Without dedicated tools and other instruments, a meta-method such as Essence is cumbersome to utilize by practitioners and students. Indeed, Essence currently suffers from a lack of widespread practitioner adoption. In this paper, we thus present an Open Source tool for…

Set (abstract data type)Software development processOpen sourceSoftwareWork (electrical)Proof of conceptComputer sciencebusiness.industryMethod engineeringCommon groundSoftware engineeringbusiness2019 45th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)
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Current Software-as-a-Service Business Models: Evidence from Finland

2012

This paper characterizes the business models of Software-as-a-Service (SaaS) firms based on their value proposition, customer segments, revenue streams, and customer relationship, and analyzes interconnections of these business model elements. The target set of 163 Finnish SaaS and ASP firms was first compared to other software firms and then clustered into four clusters based on indicator data of their business model elements. The comparison reveals that the SaaS and ASP firms have smaller customer and transaction sizes than software firms in general. The resulting classification reveals two different configurations, a pure-play SaaS model and an enterprise SaaS model, and the typical fact…

Set (abstract data type)Softwarebusiness.industryInformationSystems_INFORMATIONSYSTEMSAPPLICATIONSSoftware as a serviceValue propositionRevenueAccountingBusinessCustomer relationship managementBusiness modelDatabase transactionIndustrial organization
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Modeling musical attributes to characterize ensemble recordings using rhythmic audio features

2011

In this paper, we present the results of a pre-study on music performance analysis of ensemble music. Our aim is to implement a music classification system for the description of live recordings, for instance to help musicologist and musicians to analyze improvised ensemble performances. The main problem we deal with is the extraction of a suitable set of audio features from the recorded instrument tracks. Our approach is to extract rhythm-related audio features and to apply them for regression-based modeling of eight more general musical attributes. The model based on Partial Least-Squares Regression without preceding Principal Component Analysis performed best for all of the eight attribu…

Set (abstract data type)Sound recording and reproductionMusicologyComputer scienceSpeech recognitionFeature extractionMusicalAudio signal processingcomputer.software_genrecomputer2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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An Encoding in Metaheuristics for the Minimum Communication Spanning Tree Problem

2009

Problem-specific encodings can improve the performance of metaheuristics, such as genetic algorithms or simulated annealing. This paper studies the link-biased (LB) encoding, which is a tree representation, and applies metaheuristics using this encoding to the minimum communication spanning tree (MCST) problem. Given the communication requirements of the nodes, the MCST problem seeks a communication spanning tree with minimum total cost. Optimal solutions for MCST problems are similar to minimum spanning trees (MSTs), and the LB encoding exploits this property by encoding trees similar to MSTs with higher probability. The paper investigates how to systematically design problem-specific enc…

Set (abstract data type)Spanning treeTree representationEncoding (memory)Simulated annealingGeneral EngineeringMinimum spanning treeTelecommunications networkAlgorithmMetaheuristicMathematicsINFORMS Journal on Computing
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Extraction of Endmembers from Spectral Mixtures

1999

Abstract Linear spectral mixture modeling (LSMM) divides each ground resolution element into its constituent materials using endmembers which represent the spectral characteristics of the cover types. However, it is difficult to identify and estimate the spectral signature of pure components or endmembers which form the scene, since they vary with the scale and purpose of the study. We propose three different methods to estimate the spectra of pure components from a set of unknown mixture spectra. Two of the methods consist in different optimization procedures based on objective functions defined from the coordinate axes of the dominant factors. The third one consists in the design of a neu…

Set (abstract data type)Spectral signatureArtificial neural networkSoil ScienceGeologyScale (descriptive set theory)Limit (mathematics)Noise (video)Computers in Earth SciencesSpectral lineMathematicsCurse of dimensionalityRemote sensingRemote Sensing of Environment
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Internal Time and Innovation

2003

Consider a physical system that may be observed through time-varying quantities x t , where t stands for time that may be discrete or continuous. The set x t may be a realization of a deterministic system, e.g. a unique solution of a differential equation, or a stochastic process. In the latter case each x t is a random variable. We are interested in the global evolution of the system, not particular realizations x t , from the point of view of innovation. We call the evolution innovative if the dynamics of the system is such that there is a gain of information about the system as time increases. Our purpose is to associate the concept of internal time with such systems. The internal time w…

Set (abstract data type)Stochastic processComputer scienceDifferential equationPhysical systemApplied mathematicsPoint (geometry)Random variableRealization (probability)Deterministic system
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Review of Knowledge Management Models for Implementation within Advanced Product Quality Planning

2014

The purpose of this paper is to review different Knowledge Management Models (KMM) based on their strengths and weaknesses and to ascertain their possible implementation within the scope of the Advanced Product Quality Planning (APQP) procedure. The KMM listed are selected based on an extensive literature review. They are presented in a visual manner and analyzed based on their structure and features, versus a predetermined set of criteria. This study offers an overview and a critical discussion of the merits and faults of a number KMM and suggests possible improvement avenues.

Set (abstract data type)Structure (mathematical logic)Knowledge managementScope (project management)business.industryComputer scienceAdvanced product quality planningbusinessStrengths and weaknessesCritical discussion
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