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Big autonomous vehicular data classifications: Towards procuring intelligence in ITS
Daniel, Alfred,Subburathinam, Karthik,Paul, Anand,Rajkumar, Newlin,Rho, Seungmin Elsevier 2017 Vehicular communications Vol.9 No.-
<P><B>Abstract</B></P> <P>For effectively utilization of acquired resources in Autonomous Vehicle (AV), big data analysis in real time will be a reliable way to produce valuable information from sensor data. With the combined ability of telematics and real-time analysis, big data analytics forming the key drivers of autonomous cars. To emphasize the significant of data fusion or knowledge discovery, an efficient architecture has been proposed for real-time big data analysis in an autonomous vehicle, which indeed will keep pace with the latest trends and development with respect to emerging big data paradigm. The proposed architecture comprises distributed data storage mechanism for a streaming process for real-time analysis and the vehicular cloud server tool for batch processing the offline data. Furthermore, a workflow model has also been designed for big data architecture to examine streaming data in near real time process. Furthermore, an algorithm is developed for data classification in distributed storage unit, and mathematical modeling is carried to analysis the data classification functionality in AV. The proposed system model using Hadoop framework which is for the optimal utilization of the massive data set, meant for data classification in distributed environment for streaming data in real time, which is intended for intelligent transportation of the autonomous vehicle.</P>
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( Irena Maus ),( Yong Sung Kim ),( Daniel Wibberg ),( Yvonne Stolze ),( Sandra Off ),( Sebastian Antonczyk ),( Alfred Puhler ),( Paul Scherer ),( Andreas Schluter ) 한국미생물 · 생명공학회 2017 Journal of microbiology and biotechnology Vol.27 No.2
Process surveillance within agricultural biogas plants (BGPs) was concurrently studied by highthroughput 16S rRNA gene amplicon sequencing and an optimized quantitative microscopic fingerprinting (QMF) technique. In contrast to 16S rRNA gene amplicons, digitalized microscopy is a rapid and cost-effective method that facilitates enumeration and morphological differentiation of the most significant groups of methanogens regarding their shape and characteristic autofluorescent factor 420. Moreover, the fluorescence signal mirrors cell vitality. In this study, four different BGPs were investigated. The results indicated stable process performance in the mesophilic BGPs and in the thermophilic reactor. Bacterial subcommunity characterization revealed significant differences between the four BGPs. Most remarkably, the genera Defluviitoga and Halocella dominated the thermophilic bacterial subcommunity, whereas members of another taxon, Syntrophaceticus, were found to be abundant in the mesophilic BGP. The domain Archaea was dominated by the genus Methanoculleus in all four BGPs, followed by Methanosaeta in BGP1 and BGP3. In contrast, Methanothermobacter members were highly abundant in the thermophilic BGP4. Furthermore, a high consistency between the sequencing approach and the QMF method was shown, especially for the thermophilic BGP. The differences elucidated that using this biphasic approach for mesophilic BGPs provided novel insights regarding disaggregated single cells of Methanosarcina and Methanosaeta species. Both dominated the archaeal subcommunity and replaced coccoid Methanoculleus members belonging to the same group of Methanomicrobiales that have been frequently observed in similar BGPs. This work demonstrates that combining QMF and 16S rRNA gene amplicon sequencing is a complementary strategy to describe archaeal community structures within biogas processes.
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Goei Ronn,Tan Frankie Ting Feng,Ong Amanda Jiamin,Mandler Daniel,Tok Alfred Iing Yoong 한국탄소학회 2022 Carbon Letters Vol.32 No.4
A thermally conductive film can be used to laterally conduct heat along the surface of glass windows, toward its edges where a heat sink could be located, thereby reducing temperature differential between the inside and outside surfaces of the window and thus lowering cross-sectional conductive heat transfer. This technique can offer optimized thermal energy management to modern buildings without the weight and cost of double- or triple-glazed window panels. In this work, a thermally conductive film was developed using carbon dots with inherently high thermal conductivity. Nitrogen atoms were then added to the carbon dots structure to intensify high-frequency phonon that would result in higher lateral thermal conductivity. The nitrogen-decorated carbon dots (NCDs) were prepared by a simple hydrothermal synthesis of citric acid with the addition of ethylenediamine as the N source. The NCDs were added to a cellulose-based solution and drop-casted onto FTO glass resulting in a transparent, laterally thermally conductive film, that also blocks ultraviolet (UV) and high-intensity blue light radiation. The visible-light transmission of the NCDs’ film was found to be up to 65%, comparable to the commercial solar films. The lateral thermal conductivity of the NCDs’ film increases with increasing N content up to an optimum level, suggesting the role of N to “concentrate’ the high-frequency phonons responsible for effective lateral thermal conductivity of the films.
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