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Content available remote Dynamic load balancing strategy for sort-first parallel rendering
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EN
Parallel rendering based on a PC cluster is an effective method to improve the performance and resolution of graphic system. In order to achieve dynamic load balance among the render nodes, we propose a new load division scheme based on the load distribution map, which is built according to the rendering time of the previous frame. The proposed load balancing algorithm is simple to be implemented and works well for sortfirst parallel rendering system. Experiment results show that our method is effective. Compared with the previous works, the proposed strategies can effectively use the available graphics resources, thus improving rendering performance of parallel rendering system.
PL
Metodą polepszenia własności i analizy systemu graficznego jest równoległy rendering oparty o klaster PC. W celu osiągnięcia równowagi dynamicznego obciążenia odtwarzanych węzłów proponujemy nowy schemat podziału obciążenia. Schemat opiera się o mapę rozkładu budowaną w zależności od czasu renderingu poprzedniej ramki. Zastosowano prosty do implementacji algorytm, dobrze pracujący w przypadku wstępnego sortowania, w systemie renderingu równoległego. Wyniki badań wskazują, że zastosowana metoda jest skuteczna. W porównaniu do poprzednich prac, w zaproponowanej strategii można skutecznie wykorzystać dostępne graficzne zasoby, co poprawia działanie równoległego systemu renderingu.
EN
Thallium (Tl) is a typical trace metal of extreme high toxicity. As a concomitant element, Tl is widely found in various sulfide minerals and K-containing rock minerals. The outburst of Tl pollution in drinking water sources of the northern branch of the Pearl River in China as reported in 2010 has greatly aroused public concerns about Tl pollution in China. Apart from typical sources of Tl pollution such as Pb and Zn smelting and the mining and utilization of Tl-containing pyrite ores, the steel-making industry was discovered a new significant source that contributed to this Tl pollution incidence. Thallium contents in raw materials, fly ash and wastewater collected from a typical steel-making enterprise were determined by inductively coupled plasma mass spectrometry (ICP-MS). The results showed that Tl contents (0.02-1.03 mg/kg) are generally low in the raw materials, while fly ash samples have generally enriched Tl levels (1.31-6.45 mg/kg). Wastewater obtained from the dedusting process of the sintering furnace also exhibited excessive Tl levels (574-2130 μg/L). All these results suggested a possible release and gasification of Tl compounds from the raw materials under high temperatures (>800ºC) during the sintering processes, which were then accumulated in the flue gas and fly ash and washed into the wastewater by wet dedusting. Lime precipitation method is not effective for removing Tl from wastewater, since Tl mostly is present as dissolved Tl⁺ in the water. The study initiated a preliminary design of a fast and effective treatment method for Tl removal from Tl-containing industrial wastewater by using a deep oxidation system.
EN
Pitaya contains various types of polyphenols, flavonoid and vitamins which are beneficial for health and it is among the most important commercial tropical fruits worldwide. Endophytic bacteria might be beneficial for plant growth and yield. However, bacterial diversity in pitaya is poorly characterized. In this study, fruits of white and red pitayas from three different origins (Thailand, Vietnam and China) were chosen for endophytic bacteria diversity investigation by using Illumina HiSeq second-generation high-throughput sequencing technology. Large number of endophytic bacteria were detected and 22 phyla, 56 classes, 81 orders, 122 families and 159 genera were identified. Endophytic bacteria diversity was uneven among pitaya fruits from different origins and bacteria structure was different between white pitaya group and red pitaya group. Phylum Bacteroidetes, classes Bacteroidia and Coriobacteriia, orders Bacteroidales and Coriobacteriales, families Prevotellaceae, Bacteroidaceae, Ruminococcaceae, Paraprevotellaceae, Rikenellaceae, Alcaligenaceae and Coriobacteriaceae, genera Prevotella, Bacteroides, Roseburia, Faecalibacterium and Sutterella were statistically significant different species (P < 0.05) between white and red pitayas. These findings might be useful for growth improvement, fruit preservation and processing of different pitaya species from different origins.
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