General-purpose image forensics using patch likelihood under image statistical models

Author(s):  
Wei Fan ◽  
Kai Wang ◽  
Francois Cayre
Author(s):  
А.А. Леонович ◽  
Е.А. Свиридо ◽  
М.Г. Глазунова

Антипирен на основе гидроксиэтилидендифосфоновой кислоты вводили в древесное волокно (смесь березы и осины), массу обрабатывали меламинокарбамидоформальдегидным связующим, формировали ковер и прессовали огнезащищенные древесноволокнистые плиты средней плотности. С использованием экспериментально-статистических моделей изучали влияние продолжительности прессования, содержания антипирена и связующего на свойства плит по показателям прочности при изгибе, модулю упругости, набуханию и горючести. Проведен анализ и показана на уровне требований стандартов возможность изготовления плит общего назначения или конструкционных пониженной горючести путем варьирования в установленных пределах рецептурными и технологическими факторами. A fire retardant based on hydroxyethylidene diphosphonic acid was introduced into wood fiber (a mixture of birch and aspen), the mass was treated with a melaminecarbamide-formaldehyde binder, a carpet was formed, and fire-resistant mediumdensity fiberboards were pressed. Using experimental statistical models, we studied the effect of pressing duration, fire retardant and binder content on the properties of plates in terms of flexural strength, modulus of elasticity, swelling and flammability. The analysis is carried out and the possibility of manufacturing plates of general purpose or structural low combustibility by varying prescription and technological factors within the established limits is shown at the level of standards requirements.


2021 ◽  
Vol 7 ◽  
pp. e634
Author(s):  
Moisés Silva-Muñoz ◽  
Alberto Franzin ◽  
Hugues Bersini

Database systems play a central role in modern data-centered applications. Their performance is thus a key factor in the efficiency of data processing pipelines. Modern database systems expose several parameters that users and database administrators can configure to tailor the database settings to the specific application considered. While this task has traditionally been performed manually, in the last years several methods have been proposed to automatically find the best parameter configuration for a database. Many of these methods, however, use statistical models that require high amounts of data and fail to represent all the factors that impact the performance of a database, or implement complex algorithmic solutions. In this work we study the potential of a simple model-free general-purpose configuration tool to automatically find the best parameter configuration of a database. We use the irace configurator to automatically find the best parameter configuration for the Cassandra NoSQL database using the YCBS benchmark under different scenarios. We establish a reliable experimental setup and obtain speedups of up to 30% over the default configuration in terms of throughput, and we provide an analysis of the configurations obtained.


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