Abstract: A vertical type semiconductor device includes a substrate that has a plurality of trenches, a support pattern that fills the plurality of trenches and protrudes from a top surface of the substrate, a semiconductor layer disposed on the substrate that fills a space between the support patterns, a stacked structure disposed on the support pattern and the semiconductor layer that includes a plurality of insulation layers and a plurality of first conducive patterns that are alternately and repeatedly stacked, and a plurality of channel structures that penetrate through the structure and the semiconductor layer and that extend into the support pattern. Each channel structure includes a channel layer. At least a portion of the channel layer makes contact with the semiconductor layer.

Abstract: A call recommendation system based on artificial intelligence is provided. The call recommendation system includes a data collecting unit, a matching time predicting unit, a price determining unit, and a final ranking determining unit. When a service is requested from a service user, the data collecting unit collects first past data indicating a past location of the service user, first present data indicating a present location of the service user, second past data indicating a past location of a service provider, and second present data indicating a present location of the service provider.

Abstract: A call recommendation system based on artificial intelligence is provided. The call recommendation system includes a data collecting unit, a matching time predicting unit, a price determining unit, and a final ranking determining unit. When a service is requested from a service user, the data collecting unit collects first past data indicating a past location of the service user, first present data indicating a present location of the service user, second past data indicating a past location of a service provider, and second present data indicating a present location of the service provider.

Abstract: A method and system of estimating multi-tasking performance performed in multi-processor are described. The method includes dividing a plurality of tasks into a plurality of sub tasks in accordance with predefined operation types, arranging the plurality of sub tasks in accordance with a predecessor-successor structure based on the operation types of the plurality of sub tasks, and estimating multi-tasking performance of the plurality of tasks using the arranged plurality of sub tasks.