Search results for "Mathematica"
showing 10 items of 7971 documents
Maximal Operators with Respect to the Numerical Range
2018
Let $\mathfrak{n}$ be a nonempty, proper, convex subset of $\mathbb{C}$. The $\mathfrak{n}$-maximal operators are defined as the operators having numerical ranges in $\mathfrak{n}$ and are maximal with this property. Typical examples of these are the maximal symmetric (or accretive or dissipative) operators, the associated to some sesquilinear forms (for instance, to closed sectorial forms), and the generators of some strongly continuous semi-groups of bounded operators. In this paper the $\mathfrak{n}$-maximal operators are studied and some characterizations of these in terms of the resolvent set are given.
CyProF – Insights from a Framework for Designing Cyber-Physical Systems in Production Environments
2016
Abstract There is little experience in integrating cyber-physical systems (CPS) in production environments nowadays. A coordinated framework with reference architecture, methodology and procedural model can support the adaption of CPS by providing a pre-defined structure and guidelines. This paper describes such a framework, named CyProF, for designing CPS-based solutions in production environments. Engineers are supported by this framework in handling the complexity during the design phase. Additionally, this paper explains how the framework was used in a use case to reduce engineering efforts for a CPS-based demonstrator.
Selecting industrial robots for milling applications using AHP
2017
Abstract Industrial robots are usually used for pick-and-place applications, which require only point-to-point motion control. However, the recent developments, both in robot technology and in Computer Automated Machining (CAM) software, allow the use of these equipment in applications which require continuous path control, such as multi-axis milling processes. However, the producers do not offer robots specifically developed for this kind of application, thus the user has to choose the most appropriate robot for this goal from a wide range of general purpose robot types. This research work proposes a method based upon Analytic Hierarchy Process (AHP) for selecting the industrial robot for …
Structuring Humanitarian Supply Chain Knowledge Through a Meta-Modeling Approach
2017
To develop decision support systems (DSS) that improve humanitarian supply chain (HSC) performance, there is a need for methods that support on field data gathering and knowledge structure. We propose a meta-model to structure the knowledge of HSC and to obtain a shared vision of the HSC. It has been developed to provide a framework to class gathered data by connecting it to HSC concepts. The meta-model includes four packages, defining the collaborative ecosystem (context, actors, objectives, and behavior). The concepts gathered during our field research experiences, added to the HSC core literature, have permitted to build the HSC meta-model layer. Models built from this meta-model can be …
Prediction of perception using structure–activity models
2016
IntroductionThe possible link between the molecular structure and a biological activity was pointed out by Linus Pauling (1946) just before the middle of the 20th century. Nevertheless, this concept has been already suggested a century before by Emil Fisher and “lock-and-key” theory: “To use a metaphor, I would say that enzyme and glucoside are such lock and key that fit together in order to exert a reciprocal chemical effect on each other”a (Fischer, 1894). The notion that the biological properties of a compound would be a function of its chemical characteristics is now well admitted, and is closely linked to that of pharmacophore. The pharmacophore concept is related to the interaction of…
A convolutional neural network for virtual screening of molecular fingerprints
2019
In the last few years, Deep Learning (DL) gained more and more impact on drug design because it allows a huge increase of the prediction accuracy in many stages of such a complex process. In this paper a Virtual Screening (VS) procedure based on Convolutional Neural Networks (CNN) is presented, that is aimed at classifying a set of candidate compounds as regards their biological activity on a particular target protein. The model has been trained on a dataset of active/inactive compounds with respect to the Cyclin-Dependent Kinase 1 (CDK1) a very important protein family, which is heavily involved in regulating the cell cycle. One qualifying point of the proposed approach is the use of molec…
Conclusion: University Ambiguities and Analytic Eclecticism
2018
This volume has examined six cases of university engagement in peripheral regions. While these regions have often been overlooked in the mainstream literature on university-region dynamics because they do not readily offer up success stories, they do facilitate an exploration into the challenges and difficulties that arise at the intersection of the university and region. Beginning with a theory rooted in institutionalist literature that depicts the university as a set of five ambiguities rather than as a coherent whole, the chapters have sought to apply the ambiguities of intention, causality, history, structure, and meaning to their regional context. In this conclusion, we pull together a…
On Metadata Support for Integrating Evolving Heterogeneous Data Sources
2019
With the emergence of big data technologies, the problem of structure evolution of integrated heterogeneous data sources has become extremely topical due to dynamic and diverse nature of big data. To solve the big data evolution problem, we propose an architecture that allows to store and process structured and unstructured data at different levels of detail, analyze them using OLAP capabilities and semi-automatically manage changes in requirements and data expansion. In this paper, we concentrate on the metadata essential for the operation of the proposed architecture. We propose a metadata model to describe schemata and supplementary properties of data sets extracted from sources and tran…
Measuring diversity. A review and an empirical analysis
2021
Abstract Maximum diversity problems arise in many practical settings from facility location to social networks, and constitute an important class of NP-hard problems in combinatorial optimization. There has been a growing interest in these problems in recent years, and different mathematical programming models have been proposed to capture the notion of diversity. They basically consist of selecting a subset of elements of a given set in such a way that a measure based on their pairwise distances is maximized to achieve dispersion or representativeness. In this paper, we perform an exhaustive comparison of four mathematical models to achieve diversity over the public domain library MDPLIB, …
La teoría fuerte de los derechos sociales: reconstrucción y crítica | The Strong Theory of Social Rights: Reconstruction and Criticism
2016
RESUMEN. En este artículo es objeto de análisis la teoría fuerte de los derechos sociales, que es presentada como una teoría unificadora del fundamento, la estructura normativa y los procedimientos de garantía de los diversos tipos de derechos y, en particular, de derechos sociales y de libertad. La teoría es objeto de una serie de consideraciones críticas que apuntan a algunos de sus presupuestos éticos, a sus consecuencias político-constitucionales, a sus problemáticos efectos económicos, al modo en que reconstruye la estructura normativa de los derechos que se considera deficiente y al modelo de garantía judicial propuesto para los derechos sociales que se reputa contraproducente. ABST…