Abstract: Provided is a method of managing a target process. The method performed by a process management apparatus includes: generating a reference pattern indicating a normal state based on reference observed data on a process factor measured while the target process is maintained in the normal state; obtaining observed data on the process factor measured for a specified observation period; calculating a dissimilarity between the reference pattern and the observed data; and constructing a regression tree for the target process by using the observed data and the dissimilarity, wherein the process factor is set as an independent variable of the regression tree, and the dissimilarity is set as a dependent variable of the regression tree.

Abstract: Provided is a method of managing a target process. The method performed by a process management apparatus includes: generating a reference pattern indicating a normal state based on reference observed data on a process factor measured while the target process is maintained in the normal state; obtaining observed data on the process factor measured for a specified observation period; calculating a dissimilarity between the reference pattern and the observed data; and constructing a regression tree for the target process by using the observed data and the dissimilarity, wherein the process factor is set as an independent variable of the regression tree, and the dissimilarity is set as a dependent variable of the regression tree.

Abstract: Provided is a method of managing a target process. The method performed by a process management apparatus includes: generating a reference pattern indicating a normal state based on reference observed data on a process factor measured while the target process is maintained in the normal state; obtaining observed data on the process factor measured for a specified observation period; calculating a dissimilarity between the reference pattern and the observed data; and constructing a regression tree for the target process by using the observed data and the dissimilarity, wherein the process factor is set as an independent variable of the regression tree, and the dissimilarity is set as a dependent variable of the regression tree.

Abstract: Disclosed are a distributed application programming interface (API) proxy system and an apparatus and method for managing traffic in the system. The apparatus for managing API traffic includes a traffic information collection unit configured to collect traffic information from a plurality of API proxies distributed to a plurality of networked apparatuses such that physical resources are abstracted to provide access to the abstracted physical resources and a traffic optimization unit configured to generate control information for decreasing communication traffic of at least one of the plurality of API proxies based on the collected traffic information and deliver the generated control information to the plurality of API proxies.

Abstract: Provided is a method of managing a target process. The method performed by a process management apparatus includes: generating a reference pattern indicating a normal state based on reference observed data on a process factor measured while the target process is maintained in the normal state; obtaining observed data on the process factor measured for a specified observation period; calculating a dissimilarity between the reference pattern and the observed data; and constructing a regression tree for the target process by using the observed data and the dissimilarity, wherein the process factor is set as an independent variable of the regression tree, and the dissimilarity is set as a dependent variable of the regression tree.

Abstract: Disclosed is a method for detecting false alarm. The method includes receiving a measured value that is measured when an alarm is generated from a target for monitoring, measuring non-similarity between the measured value that is measured when the alarm is generated and a pre-stored normal pattern, measuring non-similarity between the measured value and pre-stored measured values related to a past false alarm if the non-similarity exceeds a predetermined threshold value and providing the generated alarm to a user if the non-similarity between the measure value and the pre-stored related values related to the past false alarm exceeds the predetermined threshold value.

Abstract: Disclosed is a method for calculating an error rate of alarm that reports a failure of facility, calculating a true probability and a false probability of alarms generated for each time zone by a past failure record data and calculating the error rate of the alarm at a rate of the false probability to the true probability of the alarms generated for each time zone.

Abstract: Disclosed is a method for detecting false alarm. The method includes receiving a measured value that is measured when an alarm is generated from a target for monitoring, measuring non-similarity between the measured value that is measured when the alarm is generated and a pre-stored normal pattern, measuring non-similarity between the measured value and pre-stored measured values related to a past false alarm if the non-similarity exceeds a predetermined threshold value and providing the generated alarm to a user if the non-similarity between the measure value and the pre-stored related values related to the past false alarm exceeds the predetermined threshold value.

Abstract: Disclosed is a method for calculating an error rate of alarm that reports a failure of facility, calculating a true probability and a false probability of alarms generated for each time zone by a past failure record data and calculating the error rate of the alarm at a rate of the false probability to the true probability of the alarms generated for each time zone.

Abstract: Disclosed are a distributed application programming interface (API) proxy system and an apparatus and method for managing traffic in the system. The apparatus for managing API traffic includes a traffic information collection unit configured to collect traffic information from a plurality of API proxies distributed to a plurality of networked apparatuses such that physical resources are abstracted to provide access to the abstracted physical resources and a traffic optimization unit configured to generate control information for decreasing communication traffic of at least one of the plurality of API proxies based on the collected traffic information and deliver the generated control information to the plurality of API proxies.

Abstract: Distributed processing system and method for discrete logarithm calculation. The speed and resource efficiency of discrete logarithm calculation may be improved by allowing a plurality of operation agents to distributively process an operation of generating a modulo multiplication auxiliary table, an operation of generating a pre-calculation table, and an operation of searching for an answer by applying an iterated function for discrete logarithm calculation in a discrete logarithm calculation operation using the pre-calculation table.

Abstract: Provided are an apparatus and method for executing machine-to-machine (M2M) communications. A device is abstracted through a pre-stored device master template and a pre-stored resource master template, M2M communications are managed through an interface to access resources, and information is periodically synchronized. A problem of system scalability and a problem of heterogeneity of interfaces to access resources may be solved and synchronization may be performed while a load of a network service capability layer (NSCL) is minimized without deteriorating service quality.

Abstract: A separable distribution rotor and a horizontal rotor distributor having the same. The separable distribution rotor includes a first distribution rotor, a second distribution rotor, and an elastic member interposed between the first distribution rotor and the second distribution rotor.

Abstract: A separable distribution rotor and a horizontal rotor distributor having the same. The separable distribution rotor includes a first distribution rotor, a second distribution rotor, and an elastic member interposed between the first distribution rotor and the second distribution rotor.