Abstract: Provided are a system for business process automation and a method thereof. The system according to some embodiments may include a connect manager configured to register and manage application programming interface (API) information for services, a process execution engine configured to execute a target business process comprising a particular service task, which is a task using a particular service provided by a service module, and a connect broker configured to acquire API information for the particular service, registered through the connect manager, during execution of the target business process in response to a request from the process execution engine, and process the particular service task by sending a request for the particular service to the service module using the acquired API information.

Abstract: A system selecting a process key factor in a commercial chemical process, includes: a data extraction unit that extracts tag data in units of a set period; an outlier discrimination unit that discriminates and aggregates outliers by tag by using an outlier extraction reference master; an outlier processing unit that generates an input mart draft excluding the outliers; a derived variable generation unit that generates derived variables for each tag, and generates an advanced input mart having the derived variable added thereto; a yield calculation unit that backs up the result of calculation of a yield by realizing a target value via exclusion and correction of the outliers; and a key factor extraction unit that extracts a yield key factor by calculating importance of each tag, and backs up importance data for each tag.

Abstract: A system for predicting process changes by using key factors in a commercial chemical process, includes: a key factor extraction and individual tag importance backup unit that extracts yield key factors by calculating the importance of each tag, and backs up importance data for each tag; and a yield prediction model training and yield prediction performing unit that performs yield prediction model training by using the importance of each tag accumulated in the key factor extraction and individual tag importance backup unit, and performs yield prediction so as to output a yield prediction result, evaluates performance, and selects an optimal prediction model.

Abstract: Disclosed are a polymer for ultra-high strength concrete admixture and a method for preparing the same, more specifically, a polymer for ultra-high strength concrete admixture prepared by polymerizing two or more copolymers based on unsaturated organic monomers having urethane derivatives, and and a method for preparing the same. Also, the concrete admixture comprising the polymer exhibits high water-reducing ability, thus improving workability and strength of the concrete composition. In addition, the concrete admixture exhibits defoaming capability, thus enabling easy control of air amount of the concrete composition without using any defoaming agent.