The Experts below are selected from a list of 833661 Experts worldwide ranked by ideXlab platform
Hector C Goicoechea - One of the best experts on this subject based on the ideXlab platform.
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open source assisted laboratory automation through graphical user interfaces and 3d printers application to equipment hyphenation for higher order Data Generation
Analytical Chemistry, 2017Co-Authors: Gabriel G Siano, Milagros Montemurro, Mirta R Alcaraz, Hector C GoicoecheaAbstract:Higher-order Data Generation implies some automation challenges, which are mainly related to the hidden programming languages and electronic details of the equipment. When techniques and/or equipment hyphenation are the key to obtaining higher-order Data, the required simultaneous control of them demands funds for new hardware, software, and licenses, in addition to very skilled operators. In this work, we present Design of Inputs–Outputs with Sikuli (DIOS), a free and open-source code program that provides a general framework for the design of automated experimental procedures without prior knowledge of programming or electronics. Basically, instruments and devices are considered as nodes in a network, and every node is associated both with physical and virtual inputs and outputs. Virtual components, such as graphical user interfaces (GUIs) of equipment, are handled by means of image recognition tools provided by Sikuli scripting language, while handling of their physical counterparts is achieved using a...
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second and higher order Data Generation and calibration a tutorial
Analytica Chimica Acta, 2014Co-Authors: Graciela M Escandar, Hector C Goicoechea, Arsenio Munoz De La Pena, Alejandro C OlivieriAbstract:An introduction to multi-way calibration based on second- and higher-order Data Generation and processing is provided, with emphasis on practical experimental aspects. After a discussion concerning a proper nomenclature scheme, a suitable classification of the obtainable Data, and the general features of the available algorithms and their underlying models, a series of examples is discussed in detail, with the purpose of illustrating the great potentiality of the field for the analytical community. Emphasis is directed toward the most popular multi-way Data, i.e., second-order or matrix Data, which can be conveniently measured in a variety of instruments. Third-order Data are being increasingly studied and are also discussed, along with the less explored field of fourth-order Data. The estimation of figures of merit, which analysts need to report during method development, is now sufficiently mature to be provided for the general audience.
Alejandro C Olivieri - One of the best experts on this subject based on the ideXlab platform.
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second and higher order Data Generation and calibration a tutorial
Analytica Chimica Acta, 2014Co-Authors: Graciela M Escandar, Hector C Goicoechea, Arsenio Munoz De La Pena, Alejandro C OlivieriAbstract:An introduction to multi-way calibration based on second- and higher-order Data Generation and processing is provided, with emphasis on practical experimental aspects. After a discussion concerning a proper nomenclature scheme, a suitable classification of the obtainable Data, and the general features of the available algorithms and their underlying models, a series of examples is discussed in detail, with the purpose of illustrating the great potentiality of the field for the analytical community. Emphasis is directed toward the most popular multi-way Data, i.e., second-order or matrix Data, which can be conveniently measured in a variety of instruments. Third-order Data are being increasingly studied and are also discussed, along with the less explored field of fourth-order Data. The estimation of figures of merit, which analysts need to report during method development, is now sufficiently mature to be provided for the general audience.
Howard Zhang - One of the best experts on this subject based on the ideXlab platform.
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automatic test Data Generation using genetic algorithm and program dependence graphs
Information & Software Technology, 2006Co-Authors: James Miller, Marek Reformat, Howard ZhangAbstract:Abstract The complexity of software systems has been increasing dramatically in the past decade, and software testing as a labor-intensive component is becoming more and more expensive. Testing costs often account for up to 50% of the total expense of software development; hence any techniques leading to the automatic Generation of test Data will have great potential to considerably reduce costs. Existing approaches of automatic test Data Generation have achieved some success by using evolutionary computation algorithms, but they are unable to deal with Boolean variables or enumerated types and they need to be improved in many other aspects. This paper presents a new approach utilizing program dependence analysis techniques and genetic algorithms (GAs) to generate test Data. A set of experiments using the new approach is reported to show its effectiveness and efficiency based upon established criterion.
Graciela M Escandar - One of the best experts on this subject based on the ideXlab platform.
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second and higher order Data Generation and calibration a tutorial
Analytica Chimica Acta, 2014Co-Authors: Graciela M Escandar, Hector C Goicoechea, Arsenio Munoz De La Pena, Alejandro C OlivieriAbstract:An introduction to multi-way calibration based on second- and higher-order Data Generation and processing is provided, with emphasis on practical experimental aspects. After a discussion concerning a proper nomenclature scheme, a suitable classification of the obtainable Data, and the general features of the available algorithms and their underlying models, a series of examples is discussed in detail, with the purpose of illustrating the great potentiality of the field for the analytical community. Emphasis is directed toward the most popular multi-way Data, i.e., second-order or matrix Data, which can be conveniently measured in a variety of instruments. Third-order Data are being increasingly studied and are also discussed, along with the less explored field of fourth-order Data. The estimation of figures of merit, which analysts need to report during method development, is now sufficiently mature to be provided for the general audience.
James Miller - One of the best experts on this subject based on the ideXlab platform.
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automatic test Data Generation using genetic algorithm and program dependence graphs
Information & Software Technology, 2006Co-Authors: James Miller, Marek Reformat, Howard ZhangAbstract:Abstract The complexity of software systems has been increasing dramatically in the past decade, and software testing as a labor-intensive component is becoming more and more expensive. Testing costs often account for up to 50% of the total expense of software development; hence any techniques leading to the automatic Generation of test Data will have great potential to considerably reduce costs. Existing approaches of automatic test Data Generation have achieved some success by using evolutionary computation algorithms, but they are unable to deal with Boolean variables or enumerated types and they need to be improved in many other aspects. This paper presents a new approach utilizing program dependence analysis techniques and genetic algorithms (GAs) to generate test Data. A set of experiments using the new approach is reported to show its effectiveness and efficiency based upon established criterion.
