Abstract: The present disclosure relates to a novel PLK1 degradation inducing compound having a structure according to Formula I, a method for preparing the same, and the use thereof. The compounds of the present disclosure exhibit an effect of inducing PLK1 degradation. Therefore, the compounds of the present disclosure may be effectively utilized for preventing or treating PLK1-related diseases.

Abstract: The present disclosure relates to a novel PLK1 degradation inducing compound having a structure according to Formula I, a method for preparing the same, and the use thereof. The compounds of the present disclosure exhibit an effect of inducing PLK1 degradation. Therefore, the compounds of the present disclosure may be effectively utilized for preventing or treating PLK1-related diseases.

Abstract: The data collecting method includes: collecting first and second sensor data respectively through a first and a second sensors while a data collecting apparatus moves within a target area, and tagging a first and a second timestamp values respectively to the first and the second sensor data; generating map data of the target area and location data at a point of time corresponding to the first timestamp value, based on the first sensor data; generating map information of the target area based on the map data, and generating moving path information on the map based on the location data; and estimating a sensing location at a point of time corresponding to the second timestamp value based on the moving path information, and tagging the sensing location to the second sensor data.

Abstract: A localization method includes scanning a surrounding space by using laser outputted from a reference region; processing spatial information about the surrounding space based on a reflection signal of the laser; extracting feature vectors to which the spatial information has been reflected by using a deep learning network which uses space vectors including the spatial information as input data; and comparing the feature vectors with preset reference map data, and thus estimating location information about the reference region.

Abstract: The present invention relates to a method and system of generating a three-dimensional (3D) map. The 3D map generating method of the present invention includes: collecting spatial data and image data on a specific space by using a lidar sensor and a camera sensor that are each provided on a collecting device; estimating a movement trajectory of the lidar sensor by using the spatial data; and generating 3D structure data on the specific space based on structure-from-motion (SFM), by using the image data and the movement trajectory as input data.

Abstract: The data collecting method includes: collecting first and second sensor data respectively through a first and a second sensors while a data collecting apparatus moves within a target area, and tagging a first and a second timestamp values respectively to the first and the second sensor data; generating map data of the target area and location data at a point of time corresponding to the first timestamp value, based on the first sensor data; generating map information of the target area based on the map data, and generating moving path information on the map based on the location data; and estimating a sensing location at a point of time corresponding to the second timestamp value based on the moving path information, and tagging the sensing location to the second sensor data.

Abstract: The present invention relates to a method for controlling a glycosylation pattern of a recombinant glycoprotein, comprising culturing a cell comprising polynucleotide encoding a recombinant glycoprotein in a culture medium comprising insulin.

Abstract: The present invention relates to a method for controlling a glycosylation pattern of a recombinant glycoprotein, comprising culturing a cell comprising polynucleotide encoding a recombinant glycoprotein in a culture medium comprising insulin.

Abstract: The present invention provides a method for planning a path for an autonomous walking humanoid robot that takes an autonomous walking step using environment map information, the method comprising: an initialization step of initializing path input information of the autonomous walking humanoid robot using origin information, destination information, and the environment map information; an input information conversion step of forming a virtual robot including information on the virtual robot obtained by considering the radius and the radius of gyration of the autonomous walking humanoid robot based on the initialized path input information; a path generation step of generating a path of the virtual robot using the virtual robot information, the origin information S, the destination information G, and the environment map information; and an output information conversion step of converting the path of the autonomous walking humanoid robot based on the virtual robot path generated in the path generation step.

Abstract: A car height control apparatus comprising: a weight sensing section for sensing a rear shaft force of a car; a bellows in which one end is fixed at the lengthwise frame, and the other end is adhered closely to a leaf spring that supports the lengthwise frame; an air tank for storing gas to be used in the bellows; and a control section for controlling the quantity of compressed air that inflows into the bellows by the weight sensing section signal. When unbalancing force is concentrated on rear shaft, load sensor generates the signal and transmits it to the controller. The controller that has received the signal opens the leveling valve to supply the compressed air toward the bellows. The bellows which is supplied with the compressed air increases its volume along the longitudinal direction, so the distance between lengthwise frame and leaf spring is greater. Finally, spring and shock absorber of suspension system recover and maintain the normal car height.