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Differential Rapid Screening of Phytochemicals by Leaf Spray Mass Spectrometry
Muller, Thomas,Cooks, R. Graham Korean Chemical Society 2014 Bulletin of the Korean Chemical Society Vol.35 No.3
Ambient ionization can be achieved by generating an electrospray directly from plant tissue ("leaf spray"). The resulting mass spectra are characteristic of ionizable phytochemicals in the plant material. By subtracting the leaf spray spectra recorded from the petals of two hibiscus species H. moscheutos and H. syriacus one gains rapid access to the metabolites that differ most in the two petals. One such compound was identified as the sambubioside of quercitin (or delphinidin) while others are known flavones. Major interest centered on a $C_{19}H_{29}NO_5$ compound that occurs only in the large H. moscheutos bloom. Attempts were made to characterize this compound by mass spectrometry alone as a test of such an approach. This showed that the compound is an alkaloid, assigned to the polyhydroxylated pyrrolidine class, and bound via a $C_3$ hydrocarbon unit to a monoterpene.
Control of 3-Phase 4-Wire Isolated Grids
Jurgen Buttner,Thomas Ellinger,Andre Muller,Jurgen Petzoldt 전력전자학회 2001 ICPE(ISPE)논문집 Vol.2001 No.10
The generation of isolated grids by pulsed converters with characteristics close to the mains of the utility companies is a pretentious task. For generation of three-phase four-wire isolated grids are presented possible topologies and the demands on the system control are processed. For control of all conceivable load and error conditions, an extensive control technology is necessary. This must permit unsymmetrical operating conditions for an unlimited period but recognize errors simultaneously and therefore an overloading the consumer and the power semiconductors reliable may prevent. Measurement results on an experimental plant show the problems to be solved.
Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment
Bosse, Sebastian,Maniry, Dominique,Muller, Klaus-Robert,Wiegand, Thomas,Samek, Wojciech IEEE 2018 IEEE TRANSACTIONS ON IMAGE PROCESSING - Vol.27 No.1
<P>We present a deep neural network-based approach to image quality assessment (IQA). The network is trained end-to-end and comprises ten convolutional layers and five pooling layers for feature extraction, and two fully connected layers for regression, which makes it significantly deeper than related IQA models. Unique features of the proposed architecture are that: 1) with slight adaptations it can be used in a no-reference (NR) as well as in a full-reference (FR) IQA setting and 2) it allows for joint learning of local quality and local weights, i.e., relative importance of local quality to the global quality estimate, in an unified framework. Our approach is purely data-driven and does not rely on hand-crafted features or other types of prior domain knowledge about the human visual system or image statistics. We evaluate the proposed approach on the LIVE, CISQ, and TID2013 databases as well as the LIVE In the wild image quality challenge database and show superior performance to state-of-the-art NR and FR IQA methods. Finally, cross-database evaluation shows a high ability to generalize between different databases, indicating a high robustness of the learned features.</P>
Fumihiko Usui,SUNAO HASEGAWA,Masateru Ishiguro,THOMAS G. MULLER,TAKAFUMI OOTSUBO 한국천문학회 2017 天文學論叢 Vol.32 No.1
Presently, the number of known asteroids is more than 710,000. Knowledge of size andalbedo is essential in many aspects of asteroid research, such as the chemical composition andmineralogy, the size-frequency distribution of dynamical families, and the relationship between smallbodies in the outer solar system or comets. Recently, based on the infrared all-sky survey data obtainedby \emph{IRAS}, \emph{AKARI}, and \emph{WISE}, the large asteroid catalogs containing size and albedo datahave been constructed. In this paper, we discuss the compositional distribution in the mainbelt regions based on the compiled data on size, albedo, and separately obtained taxonomic typeinformation.