Temat: hybrid approaches - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Potential of electrocoagulation technology for the treatment of tannery industrial effluents: A brief review
Autorzy:: Kumar Verma, Rishi
Gautam, Kajal
Agrahari, Sakshi
Kumar, Sushil
Powiązania:: https://bibliotekanauki.pl/articles/2173432.pdf
Data publikacji:: 2022
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: tannery wastewater
alternative treatment methods
advanced electrocoagulation
hybrid approaches
ścieki
alternatywne metody leczenia
zaawansowana elektrokoagulacja
podejście hybrydowe
Opis:: In this new era, we are facing a major problem regarding wastewater in the environment, which has an adverse effect on human life. Wastewater from tanning industries is one of the major contributors to the pollution in aquatic systems. Tannery industries have always contributed to the world’s economy and trade despite facing criticism due to environmental pollution. Tanning effluent consists of organic, inorganic (chromium, nitrogenous compounds), and a large amount of solid content like TDS, TSS, TVS. To overcome these significant challenges, there have been few advancements related to tannery wastewater treatment. This article aims to provide a brief review on electrocaogulation based treatment technologies for eliminating the impurities from tannery wastewater. This review consists of the background with characteristics of tannery wastewater, the alternatives for treating the tannery effluent over the years along. A detailed description of the advanced technologies based on electrocoagulations is implemented to overcome the drawbacks of the existing methods.
Źródło:: Chemical and Process Engineering; 2022, 43, 2; 217--222
0208-6425
2300-1925
Pojawia się w:: Chemical and Process Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Inverse and direct optimization shape of airfoil using hybrid algorithm Big Bang-Big Crunch and Particle Swarm Optimization
Autorzy:: Masoumi, Heidar
Jalili, Farhad
Powiązania:: https://bibliotekanauki.pl/articles/281379.pdf
Data publikacji:: 2019
Wydawca:: Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:: hybrid optimization algorithm
airfoil
inverse and direct optimization approaches
Euler’s equations
Opis:: In this paper, Big Bang-Big Crunch and Particle Swarm Optimization algorithms are combined and used for the first time to optimize airfoil geometry as a aerodynamic cross section. The optimization process is carried out both in reverse and direct directions. In the reverse approach, the object function is the difference between pressure coefficients of the optimized and target airfoils, which must be minimized. In the direct approach, three objective functions are introduced, the first of which is the drag to lift (D/L) ratio. It is minimized considering four different initial geometries, ultimately, all four geometries converge to the same final geometry. In other cases, maximizing lift the coefficient with the fixed drag coefficient constraint and minimizing the drag coefficient while the lift coefficient is fixed are defined as purposes. The results show that by changing the design parameters of the initial airfoil geometry, the proposed hybrid optimization algorithm as a powerful method satisfies the needs with proper accuracy and finally reaches the desired geometry.
Źródło:: Journal of Theoretical and Applied Mechanics; 2019, 57, 3; 697-711
1429-2955
Pojawia się w:: Journal of Theoretical and Applied Mechanics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Full-fledged temporal processing : bridging the gap between deep linguistic processing and temporal extraction
Autorzy:: Costa, F.
Branco, A.
Powiązania:: https://bibliotekanauki.pl/articles/103861.pdf
Data publikacji:: 2013
Wydawca:: Polska Akademia Nauk. Instytut Podstaw Informatyki PAN
Tematy:: temporal processing
temporal extraction
tense
aspect
hybrid approaches
deep linguistic processing
shallow linguistic processing
Opis:: The full-fledged processing of temporal information presents specific challenges. These difficulties largely stem from the fact that the temporal meaning conveyed by grammatical means interacts with many extra-linguistic factors (world knowledge, causality, calendar systems, reasoning). This article proposes a novel approach to this problem, based on a hybrid strategy that explores the complementarity of the symbolic and probabilistic methods. A specialized temporal extraction system is combined with a deep linguistic processing grammar. The temporal extraction system extracts eventualities, times and dates mentioned in text, and also temporal relations between them, in line with the tasks of the recent TempEval challenges; and uses machine learning techniques to draw from different sources of information (grammatical and extra-grammatical) even if it is not explicitly known how these combine to produce the final temporal meaning being expressed. In turn, the deep computational grammar delivers richer truth-conditional meaning representations of input sentences, which include a principled representation of temporal information, on which higher level tasks, including reasoning, can be based. These deep semantic representations are extended and improved according to the output of the aforementioned temporal extraction module. The prototype implemented shows performance results that increase the quality of the temporal meaning representations and are better than the performance of each of the two components in isolation.
Źródło:: Journal of Language Modelling; 2013, 1, 1; 97-154
2299-856X
2299-8470
Pojawia się w:: Journal of Language Modelling
Dostawca treści:: Biblioteka Nauki

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