975 resultados para Art i ciència militar
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Polymerizing 1,3-butadiene into syndiotactic 1,2-polybutadiene with art iron(III) catalyst system has been investigated. Activity of the catalyst was affected by the type of cocatalyst alkylaluminum and the phosphorus compound as an electron donor, molar ratio of catalyst components, and their aging sequence and aging time of the catalyst. The microstructure and configuration of the polymer was decided by the catalyst components, the higher [Al]/[Fe] molar ratio tending to yield syndiotactic 1,2-polybutadiene, while the higher [P]/[Fe] molar ratio favors the formation of amorphous 1,2-polybutadiene.
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Wydział Filologii Polskiej i Klasycznej: Instytut Filologii Polskiej
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Wydział Historyczny: Instytut Prahistorii
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Instytut Filologii Polskiej: Zakład Dydaktyki Literatury i Języka Polskiego
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Wydział Neofilologii: Instytut Filologii Germańskiej
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Wydział Historyczny: Instytut Historii Sztuki
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Wydział Prawa i Administracji: Katedra Prawa Konstytucyjnego
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Estetyka w archeologii. Antropomorfizacje w pradziejach i starożytności, eds. E. Bugaj, A. P. Kowalski, Poznań: Wydawnictwo Poznańskie.
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Wydział Biologii: Instytut Biologii Molekularnej i Biotechnologii
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Wydział Filologii Polskiej i Klasycznej
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Wydział Prawa i Administracji
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Summary: Herod the Great (73-4 B.C.E.) was a Roman client king of the small Jewish state Judaea in the last three decades before the common era. An essential aspect of Herod's reign was his role as a builder. Remarkably innovative, he created an astonishing record of architectural achievement, not only in Judaea but also throughout Greece and the Roman East. Herod’s own inclinations caused him to engage in a building program that paralleled that of his patron, Augustus. The most famous and ambitious project was the expansion of Jerusalem and rebuilding of the Second Temple. Josephus Flavius, a 1st-century Jewish historian, in his descriptions of the visual structure of Jerusalem delivers the picture of the Jewish society in the latter Second Temple Judaea, who were fundamentally antagonistic toward images. For Josephus, Roman iconography, such as Herod’s eagle from the Jerusalem Temple, represents not only political domination but also an unambiguous religious abomination. Visual conservatism in the public realm finds important verification in the excavated remains of Jerusalem’s Temple Mount and the Herodian Quarter (Upper City). Geometric patterns and forms predominate on the floor mosaic, stone furniture, in architectural detail and funerary remains. No human imagery is present in the Jewish context. However, Herodian structures in Jerusalem reflect the architectural and visual vocabulary of their time which contains popular elements of Roman domination in the ancient world.
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Wydział Anglistyki
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This paper introduces ART-EMAP, a neural architecture that uses spatial and temporal evidence accumulation to extend the capabilities of fuzzy ARTMAP. ART-EMAP combines supervised and unsupervised learning and a medium-term memory process to accomplish stable pattern category recognition in a noisy input environment. The ART-EMAP system features (i) distributed pattern registration at a view category field; (ii) a decision criterion for mapping between view and object categories which can delay categorization of ambiguous objects and trigger an evidence accumulation process when faced with a low confidence prediction; (iii) a process that accumulates evidence at a medium-term memory (MTM) field; and (iv) an unsupervised learning algorithm to fine-tune performance after a limited initial period of supervised network training. ART-EMAP dynamics are illustrated with a benchmark simulation example. Applications include 3-D object recognition from a series of ambiguous 2-D views.
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ART-EMAP synthesizes adaptive resonance theory (AHT) and spatial and temporal evidence integration for dynamic predictive mapping (EMAP). The network extends the capabilities of fuzzy ARTMAP in four incremental stages. Stage I introduces distributed pattern representation at a view category field. Stage 2 adds a decision criterion to the mapping between view and object categories, delaying identification of ambiguous objects when faced with a low confidence prediction. Stage 3 augments the system with a field where evidence accumulates in medium-term memory (MTM). Stage 4 adds an unsupervised learning process to fine-tune performance after the limited initial period of supervised network training. Simulations of the four ART-EMAP stages demonstrate performance on a difficult 3-D object recognition problem.