1,023 research outputs found

    The cocrystal 10-(2-methyl-4-phenyl-1H-inden-6-yl)-10H-phenothia­zine–10-(2-methyl-7-phenyl-1H-inden-5-yl)-10H-phenothia­zine (0.54/0.46)

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    The title compound, 0.535C28H21NS.0.465C28H21NS, was synthesized by palladium-catalysed amination. The structure is composed of two isomeric mol­ecules, viz. 10-(2-methyl-4-phenyl-1H-inden-6-yl)-10H-phenothia­zine, and 10-(2-methyl-7-phenyl-1H-inden-5-yl)-10H-phenothia­zine, in the refined ratio 0.535 (12):0.465 (12). The isomers differ by the localization of the double bond in the cyclo­penta­diene ring. There are two sites in the structure that are occupied by the isomers. The respective isomers are occupationally disordered in each site, the refined proportions being 0.640 (6):0.360 (6) and 0.43 (1):0.57 (1). Moreover, each isomeric mol­ecule is chiral; due to the crystallographic centres of symmetry, the mol­ecules are also present in enanti­omeric pairs. The crystal structure is stabilized by weak π–π [C⋯C = 3.389 (2) Å] inter­actions

    RuDaCoP: The Dataset for Smartphone-based Intellectual Pedestrian Navigation

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    This paper presents the large and diverse dataset for development of smartphone-based pedestrian navigation algorithms. This dataset consists of about 1200 sets of inertial measurements from sensors of several smartphones. The measurements are collected while walking through different trajectories up to 10 minutes long. The data are accompanied by the high accuracy ground truth collected with two foot-mounted inertial measurement units and post-processed by the presented algorithms. The dataset suits both for training of intellectual pedestrian navigation algorithms based on learning techniques and for development of pedestrian navigation algorithms based on classical approaches. The dataset is accessible at http://gartseev.ru/projects/ipin2019
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