A conjunction analysis tool employing state of the art algorithms, software technologies and user interface.

Author(s):  
Davide Biamonti
Author(s):  
Yixin Nie ◽  
Yicheng Wang ◽  
Mohit Bansal

Success in natural language inference (NLI) should require a model to understand both lexical and compositional semantics. However, through adversarial evaluation, we find that several state-of-the-art models with diverse architectures are over-relying on the former and fail to use the latter. Further, this compositionality unawareness is not reflected via standard evaluation on current datasets. We show that removing RNNs in existing models or shuffling input words during training does not induce large performance loss despite the explicit removal of compositional information. Therefore, we propose a compositionality-sensitivity testing setup that analyzes models on natural examples from existing datasets that cannot be solved via lexical features alone (i.e., on which a bag-of-words model gives a high probability to one wrong label), hence revealing the models’ actual compositionality awareness. We show that this setup not only highlights the limited compositional ability of current NLI models, but also differentiates model performance based on design, e.g., separating shallow bag-of-words models from deeper, linguistically-grounded tree-based models. Our evaluation setup is an important analysis tool: complementing currently existing adversarial and linguistically driven diagnostic evaluations, and exposing opportunities for future work on evaluating models’ compositional understanding.


2021 ◽  
pp. 1-12
Author(s):  
Piero Danieli ◽  
Massimo Masi ◽  
Giovanni Delibra ◽  
Alessandro Corsini ◽  
Andrea Lazzaretto

Abstract This work deals with the application of the open source CFD code MULTALL to the analysis of tube-axial-fans. The code has been widely validated in the literature for high-speed turbomachine flows but not applied yet to low speed tutbomachines. The aim of this work is to assess the degree of reliability of MULTALL as a tool for simulating the internal flow in industrial axial-flow fan rotors. To this end, the predictions of the steady-state air flow field in the annular sector of a 315 mm tube-axial fan obtained by MULTALL 18.3 are compared with those obtained by two state-of-the-art CFD codes and experimental data of the global aerodynamic performance of the fan and the pitch-wise averaged velocity distribution downstream of the rotor. All the steady-state RANS calculations were performed on either fully structured hexahedron or hexa-dominant grids using classical formulations of algebraic turbulence models. The pressure curve and the trend of the aeraulic efficiency in the stable operation range of the fan predicted by MULTALL show very good agreement with both the experimental data and the other CFD results. Although the estimation of the fan efficiency predicted by MULTALL can be noticeably improved by the more sophisticated state-of-the-art CFD codes, the analysis of the velocity distribution at the rotor exit supports the use of MULTALL as a reliable CFD analysis tool for designers of low-speed axial fans.


1988 ◽  
Vol 32 (5) ◽  
pp. 259-263
Author(s):  
Michael Good

A major goal of the DECwindows program is to provide a consistent, state-of-the-art user interface for workstation software.1 This interface extends across operating systems and many different types of application programs. Within the DECwindows program we have addressed both the technical and organizational aspects of developing consistent user interfaces across applications. Traditional methods for developing user interface consistency, such as the use of an interface style guide and toolkit, were supplemented with more innovative techniques. An exhibition and catalog of DECwindows application designs helped to develop a DECwindows school of interface design. Electronic conferencing software played an important role in facilitating communication among DECwindows contributors throughout the company. Preliminary user interviews suggest that the DECwindows interface style gives a consistent, usable feel to Digital's workstation applications.


Comunicar ◽  
2009 ◽  
Vol 17 (33) ◽  
pp. 213-219 ◽  
Author(s):  
Javier Díaz-Noci

Multimedia is one of the less studied characteristics, probably because of the less-developed level of the digital language. Along with hypertext and interactivity, it is one of the characteristics that defines the digital edition. Those characteristics have been always studied from the point of view of production, although not so much from the point of view of reception. How do users read a digital text? The reader’s participation, reading depth, different trailblazing, the relation user-interface and the conception of multimedia text as a module of a database introduce major changes in the reception of the text, which can and must be studied.La multimedialidad es una de las características menos estudiadas, tal vez por menos desarrolladas, del nuevo lenguaje digital. Junto con el hipertexto y la interactividad, constituye una de las características que definen el discurso digital. Estas características siempre se han estudiado desde el punto de vista de la producción, no tanto desde el punto de vista de la recepción. ¿Cómo leen los usuarios un texto digital? La participación del lector, la profundidad de la lectura, los distintos recorridos y propósitos por la superficie y los niveles más profundos del texto, la relación del usuario con la interfaz y la concepción del texto multimedia como módulo en una base de datos introducen cambios sustanciales en la recepción del texto que pueden y deben ser estudiados.


2019 ◽  
Vol 35 (18) ◽  
pp. 3527-3529 ◽  
Author(s):  
David Aparício ◽  
Pedro Ribeiro ◽  
Tijana Milenković ◽  
Fernando Silva

Abstract Motivation Network alignment (NA) finds conserved regions between two networks. NA methods optimize node conservation (NC) and edge conservation. Dynamic graphlet degree vectors are a state-of-the-art dynamic NC measure, used within the fastest and most accurate NA method for temporal networks: DynaWAVE. Here, we use graphlet-orbit transitions (GoTs), a different graphlet-based measure of temporal node similarity, as a new dynamic NC measure within DynaWAVE, resulting in GoT-WAVE. Results On synthetic networks, GoT-WAVE improves DynaWAVE’s accuracy by 30% and speed by 64%. On real networks, when optimizing only dynamic NC, the methods are complementary. Furthermore, only GoT-WAVE supports directed edges. Hence, GoT-WAVE is a promising new temporal NA algorithm, which efficiently optimizes dynamic NC. We provide a user-friendly user interface and source code for GoT-WAVE. Availability and implementation http://www.dcc.fc.up.pt/got-wave/ Supplementary information Supplementary data are available at Bioinformatics online.


2000 ◽  
Vol 15 (4) ◽  
pp. 263-322 ◽  
Author(s):  
Sharon Oviatt ◽  
Phil Cohen ◽  
Lizhong Wu ◽  
Lisbeth Duncan ◽  
Bernhard Suhm ◽  
...  

Author(s):  
Karthik Sundaram ◽  
Abhishek Chakravarty ◽  
Katie Grantham Lough ◽  
Derek Ditch

This paper introduces RED (Risk in Early Design) software developed by the R.I.S.K by Design Lab at University of Missouri-Rolla. The RED software is a risk analysis tool that enables failure prevention to begin during the conceptual phase of product design. The main focus of the paper is describing the software architecture and application. Its unique graphical user interface allows designers to simply select the functions of the system being designed and the software immediately generates a risk analysis report. This analysis categorizes risk likelihood and consequence elements for a product by translating the recorded information about function and failure. An example describing the software’s use in the design process is also presented.


2005 ◽  
Author(s):  
Victor Riley ◽  
Stephen Reinach ◽  
Kurt Bruck ◽  
Thomas Raslear
Keyword(s):  

Author(s):  
Reza Rahutomo ◽  
Hermantoro ◽  
Andreas Wahyu Krisdiarto ◽  
Arief Ika Uktoro ◽  
Teddy Suparyanto ◽  
...  

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