Abstract:
A location determining method 200 for sensor apparatus placements in building includes: a step in which a first measuring device transmits a digitally modulated first test packet through a specific channel at a first location in a building (210); a step in which a second measuring device receives the first test packet and transmits a first echo back signal through the specific channel at a second location in the building (220); a step in which the first measuring device receives the first echo back signal transmitted from the second measuring device and measures a first channel quality of the specific channel based on the first echo back signal (230); a step in which the first measuring device transmits a digitally modulated second test packet through the specific channel (240); a step in which the second measuring device receives the second test packet and transmits a second echo back signal through the specific channel (250); and a step in which the first measuring device receives the second echo back signal transmitted from the second measuring device and measures a second channel quality of the specific channel based on the second echo back signal (260).
Abstract:
The present invention relates to modafinil or derivatives thereof as a medicine for the treatment of vascular diseases or KCa3.1 channel (Ca activated K channel) mediated diseases and a novel use of the same. More specifically, the present invention relates to a pharmaceutical composition for the prevention or treatment of vascular diseases or KCa3.1 channel-mediated diseases comprising modafinil or a derivative of modafinil, or pharmaceutically acceptable salts thereof which relax blood vessels and inhibit KCa3.1 channel currents by increasing intracellular cAMP, a method for treating vascular diseases or KCa3.1 channel-mediated diseases using the composition and a health functional food composition for the prevention or improvement of vascular diseases or the KCa3.1 channel-mediated diseases comprising modafinil or a modafinil derivative compound, or sitologically acceptable salts thereof.
Abstract:
The present invention relates to a diagnostic composition for Alzheimer's disease which includes an agent measuring the methylation level of HMOX1 gene promoter, a diagnostic kit and a method for diagnosing Alzheimer's disease using the same.
Abstract:
The present invention relates to a composition, a kit and a method for diagnosing ovarian cancer metastasis or predicting the risk of metastasis by detecting methylation levels at CpG sites of one or more gene promoters selected from the group consisting of AGR2 (anterior gradient 2), CA9 (carbonic adj anhydrase 9), GABRP (gamma-aminobutyric acid receptor pi subunit), IFITM1 (interferon-induced transmembrane 1) and MUC13 (mucin 13).
Abstract:
The present invention provides pyrazole derivative compounds and pharmaceutically acceptable salts thereof. The compounds of the present invention have an excellent effect of preventing and treating osteoporosis.
Abstract:
A method of building an ad-hoc network of a wireless relay node and an ad-hoc network system are disclosed. The method includes verifying state information representing a relative distance and angle to a neighboring node capable of receiving data when each of relay nodes transmits the data, determining an action representing a change over time of each relay node, determining, based on an amount of change in a network throughput determined according to the state information and an amount of energy consumption according to the action, a reward corresponding to the action, and building a network including a source node, a destination node, and a plurality of relay nodes by generating, based on a reward of each of the relay nodes, a policy that allows a cumulative reward to be maximized.
Abstract:
A method of generating a robot path is provided. The method includes identifying a drawing pose set for a manipulator included in a robot in order to draw a two-dimensional (2D) image on a three-dimensional (3D) target surface, setting a profile curve by projecting surface points of the 3D target surface onto an xy-plane, determining coverage circles of the manipulator that are capable of covering all surface points of the profile curve, deriving bounding circles for a mobile platform of the robot mounting the manipulator, corresponding to each of the determined coverage circles, and generating a translation path of the robot for drawing the 2D image on the 3D target surface based on the derived bounding circles.
Abstract:
A dry hydrogen production device includes: a reactor to which water or vapor is not supplied; heating means configured to heat the reactor to 200 to 800° C.; a supply line for hydroxide of at least one of alkali and alkali earth connected to the reactor; a biomass supply line connected to the reactor; at least one carrier gas supply line connected to the reactor; a gas phase reaction product outflow line connected to the reactor, a solid-gas separator connected to the gas phase reaction product outflow line; and a gas separator connected to the solid-gas separator.
Abstract:
An inter prediction method allows a variable coefficient deep learning model to adaptively learn characteristics of a video; transmits a variable coefficient deep learning model parameter generated from the learning from an image encoding device to an image decoding device; and refers to a virtual reference frame generated by the variable coefficient deep learning model.
Abstract:
A method and an apparatus for video coding using a super-resolution in-loop filter utilize an in-loop filter based on upsampling or super-resolution techniques in processing a video signal through downsampling to the compression and upsampling to the reconstruction thereof. The video decoding method includes obtaining the reconstructed frame, obtaining a scale value representing a resolution difference between the reconstructed frame and the original frame, generating, based on the scale value, an upsampled reconstructed frame by inputting the reconstructed frame into a resampling in-loop filter that is deep learning-based, and storing an output frame as a reference frame once generated by the plurality of filters and the resampling in-loop filter in a decoded picture buffer (DPB).