Abstract: A system for scheduling machine learning jobs includes a user interface provision unit to transmit, to a user terminal, data for forming an input interface to receive job information including information indicative of a checkpoint file of a model to be executed and require resource information, a resource management unit to manage a job queue, wherein each item of the job queue includes the job information and annotation including an expected execution time, complement for an item in which the expected execution time is not recorded in the annotation by receiving the expected execution time from an execution time expectation unit, and execute job scheduling using the job information of each item of the job queue, and an execution time expectation unit to calculate memory usage necessary for executing the model using information of the checkpoint file and determine the expected execution time of the model, using the memory usage.

Abstract: A system for enhancing a prediction model according to an embodiment includes a storage module configured to receive and store inference data for input data from a prediction model, a retraining module configured to train a retraining model using retraining data including the inference data, and a determination module configured to compare performances of the prediction model and the retraining model and replace the prediction model with the retraining model according to the comparison result.

Abstract: Provided are an apparatus and method for asset tracking based on a ubiquitous sensor network (USN) using a motion sensing. The apparatus may include: a motion sensing manager to receive motion sensing information from a sensor; a filtering processor to filter the motion sensing information based on a filtering parameter and to determine whether a motion occurs based on the filtered motion sensing information; and a location information update (LU) manager to perform LU depending on whether the motion occurs.

Abstract: Provided are an apparatus and method for asset tracking based on a ubiquitous sensor network (USN) using a motion sensing. The apparatus may include: a motion sensing manager to receive motion sensing information from a sensor; a filtering processor to filter the motion sensing information based on a filtering parameter and to determine whether a motion occurs based on the filtered motion sensing information; and a location information update (LU) manager to perform LU depending on whether the motion occurs.

Abstract: The present invention presents an antenna device for an automotive vehicle wherein a first coil is installed horizontally to receive radio signals. Capacitors are connected electrically and in parallel with the first coil. A second coil is connected electrically with the first coil and installed horizontally under the first coil. A third coil is connected electrically between the first coil and the ground and installed horizontally under the first coil. Additionally, a fourth coil is connected electrically between the first coil and the second coil and installed vertically under the first coil. This antenna device, now including the first to the fourth coils and capacitors, is installed in a mirror case for the car.