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Wyświetlanie 1-3 z 3
Tytuł:
CMIM-2: An Enhanced Conditional Mutual Information Maximization Criterion for Feature Selection
Autorzy:
Vergara, J. R.
Estévez, P. A.
Powiązania:
https://bibliotekanauki.pl/articles/108783.pdf
Data publikacji:
2010
Wydawca:
Społeczna Akademia Nauk w Łodzi
Tematy:
feature selection
conditional mutual information
information theory
relevance
redundancy
Opis:
A new greedy feature selection criterion is proposed as an enhancement of the conditional mutual information maximization criterion (CMIM). The new criterion, called CMIM-2, allows detecting relevant features that are complementary in the class prediction better than the original criterion. In addition, we present a methodology to approximate the conditional mutual information to spaces of three variables, avoiding its estimation in high-dimensional spaces. Experimental results for artificial and UCI benchmark datasets show that the proposed criterion outperforms the original CMIM criterion.
Źródło:
Journal of Applied Computer Science Methods; 2010, 2 No. 1; 5-20
1689-9636
Pojawia się w:
Journal of Applied Computer Science Methods
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Study of the adhesion between TPU and PLA in multi-material 3D printing
Autorzy:
Brancewicz-Steinmetz, E.
Valverde Vergara, R.
Buzalski, V. H.
Sawicki, J.
Powiązania:
https://bibliotekanauki.pl/articles/2201075.pdf
Data publikacji:
2022
Wydawca:
Stowarzyszenie Komputerowej Nauki o Materiałach i Inżynierii Powierzchni w Gliwicach
Tematy:
multi-material printing
PLA
TPU
FDM
adhesion
druk wielomateriałowy
drukowanie 3D
tworzywo PLA
termoplastyczny poliuretan
technologia FDM
adhezja
Opis:
Purpose In the Fused Filament Fabrication (FFF/FDM) technology, the multi-material manufacturing additive method is achieved by a single nozzle or multiple nozzles working simultaneously with different materials. However, the adhesion between different materials at the boundary interface in FDM multi-material printing is a limiting factor. These studies are concerned with improving and study the adhesion between two polymers. Design/methodology/approach Due to the numerous applications and possibilities of 3D printed objects, combining different materials has become a subject of interest. PLA is an alternative to the use of petrochemical-based polymers. Thermoplastic Polyurethane is a flexible material that can achieve different characteristics when combined with a rigid filament, such as PLA. To improve the adhesion between PLA and TPU in multi-material FFF/FDM, we propose the comparison of different processes: post-processing with acetone immersion, surface activation during printing with Acetone, surface activation during printing with tetrahydrofuran, post-processing annealing, and connection of printed parts with tetrahydrofuran. Findings Modifying the 3D printing process improved the quality of the adhesive bond between the two different polymers. Activation of the surface with THF is the treatment method recommended by the authors due to the low impact on the deformation/degradation of the object. Research limitations/implications In the study, adhesion was considered in relation to the circular pattern of surface development. Further analysis should include other surface development patterns and changes in printing parameters, e.g. process temperatures and layer application speed. Practical implications 3D printing with multi-materials, such as PLA biopolymer and thermoplastic polyurethane, allows for the creation of flexible connections. The strengthening of the biopolymer broadens the possibilities of using polylactide. Examples of applications include: automotive (elements, where flexible TPU absorbs vibrations and protects PLA from cracking), medicine (prostheses with flexible elements ensuring mobility in the joints). Originality/value Multi-material printing is a new trend in 3D printing research, and this research is aimed at promoting the use and expanding the possibilities of using PLA biopolymer.
Źródło:
Journal of Achievements in Materials and Manufacturing Engineering; 2022, 115, 2; 49--56
1734-8412
Pojawia się w:
Journal of Achievements in Materials and Manufacturing Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prioritizing interdependent production processes using leontief input-output model
Autorzy:
Masbad, J. G.
Noel, V. M.
Omega, R. S.
Ocampo, L.
Abatayo, A. F.
Liggayu, A.
Vergara, V. G.
Powiązania:
https://bibliotekanauki.pl/articles/406691.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
manufacturing proces
process prioritization
input-output model
interdependent production system
Opis:
This paper proposes a methodology in identifying key production processes in an interdependent production system. Previous approaches on this domain have drawbacks that may potentially affect the reliability of decision-making. The proposed approach adopts the Leontief input-output model (L-IOM) which was proven successful in analyzing interdependent economic systems. The motivation behind such adoption lies in the strength of L-IOM in providing a rigorous quantitative framework in identifying key components of interdependent systems. In this proposed approach, the consumption and production flows of each process are represented respectively by the material inventory produced by the prior process and the material inventory produced by the current process, both in monetary values. A case study in a furniture production system located in central Philippines was carried out to elucidate the proposed approach. Results of the case were reported in this work.
Źródło:
Management and Production Engineering Review; 2016, 7, 1; 45-55
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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