Abstract: According to an embodiment of the present disclosure, a content container is provided. The content container may include: a container part configured to accommodate a liquid content; an upper cap that is detachably coupled to the container part and includes a first accommodation part configured to accommodate a solid content and a pressing part moved by being pressed; and a lower cap that is inserted into the container part, and includes an accommodation tube forming a second accommodation part and a plurality of communication holes formed in the outside of the accommodation tube to communicate with the container part, wherein, by pressing the upper cap, the solid content is moved from the first accommodation part to the second accommodation part.

Abstract: The apparatus includes a section extraction module configured to receive an automation scenario including a plurality of sections, and to extract one or more sections of a plurality of job types, from among the plurality of sections, the one or more sections being executable in parallel, a section optimization module configured to generate a parallel execution section list by sorting the one or more sections based on priorities predetermined for the plurality of job types and a job scheduler configured to generate an idle bot list including an idle bot having an idle state between an execution start time and an execution end time of the automation scenario, and to match the idle bot included in the idle bot list to each of the one or more sections included in the parallel execution section list with reference to the at least one expected execution time period and the priorities.

Abstract: A non-standard user interface object identification system includes an object candidate extractior that extracts one or more objects from an image, a first similarity analyzer that determines object type candidates of the one or more objects in accordance with similarities between the one or more objects and a standard user interface (UI) element, a second similarity analyzer that selects object type-specific weight values in accordance with layout characteristics of the one or more objects and determines object types of the one or more objects using the object type candidates and the object type-specific weight values, and an object identifier that receives type and characteristic information of a search target object and identifies the search target object in accordance with characteristic information and the object types of the one or more objects.

Abstract: A method of searching for an object for executing an automation scenario according to an exemplary embodiment is performed by a computing device including one or more processors and a memory storing one or more programs to be executed by the one or more processors are stored. The method includes searching for a target object based on search information including a plurality of search conditions for the target object that is a target for which an event is to be executed according to an automation scenario, searching for a similar object for the target object based on some of the plurality of search conditions when the target object is not found, and executing the event on the similar object when the similar object is successfully found.