Abstract: Disclosed are an underwater optical communication aiming method and apparatus. The underwater optical communication aiming apparatus may include an optical communication module configured to transmit and receive laser beams and a plurality of acoustic modules spaced apart from one another at given intervals, disposed around the optical communication module, and configured to find a direction or relative distance of a counterpart light source under water. A direction of the optical communication module may be aimed at a counterpart light source found through the acoustic module in order to communicate with the counterpart light source by using the optical communication module.

Abstract: Provided is a system and method for economic virtuous cycle simulation based on an artificial intelligence (AI) twin. The system for economic virtuous cycle simulation based on an AI twin includes an AI twin initial training unit configured to perform initial training on an AI twin model and learn initial parameters using an economic model, an AI twin optimization training unit configured to perform optimization tuning on the initial parameters of the AI twin model using past data collected in an initially trained model, an AI twin generating unit configured to generate an AI twin based on a learning model, and an AI twin operation unit configured to acquire an index for economic prediction to update the AI twin and perform an AI twin-based simulation.

Abstract: Provided is an engine container configured by a workflow engine framework for a cross-domain extension, including a plurality of operators configured to interwork with a plurality of representational state transfer (REST) application programming interfaces (APIs), respectively, a runner configured to sequentially call the plurality of operators according to a request from a client, and a controller configured to control an operation of the plurality of operators and the runner, wherein each operator operates in a pipeline manner to call a corresponding REST API using uniform resource locator (URL) information transferred from the runner and to transfer a processing result obtained by processing data provided through the corresponding called REST API to a next operator.

Abstract: Provided are a data processing apparatus and method for merging and processing deterministic knowledge and non-deterministic knowledge. The data processing apparatus and method may efficiently process various real-time and large-scale data to convert the data into knowledge by merging and processing non-deterministic knowledge and also deterministic knowledge perceived by an expert. Thus, it is possible to adaptively operate in accordance with a dynamically changing application service environment by converting a conversion rule for converting collected data generated from an application service system into semantic data, a context awareness rule for perceiving context information from given information, and a user query for searching for knowledge information into knowledge and gradually augmenting the knowledge information in accordance with an application service environment.

Abstract: Provided are a system and method for controlling a workflow across domains on the basis of a hierarchical engine framework. Inventive workflow control makes it possible to configure a flexible hierarchical engine framework and provide a workflow service with low latency. Also, the system and method make it possible to control a workflow by building an engine and a data pipeline across domains.

Abstract: Provided are a system and method for controlling a workflow across domains on the basis of a hierarchical engine framework. Inventive workflow control makes it possible to configure a flexible hierarchical engine framework and provide a workflow service with low latency. Also, the system and method make it possible to control a workflow by building an engine and a data pipeline across domains.

Abstract: A workflow engine framework for creating a single-domain adaptive and a cross-domain adaptive workflow performing platform is disclosed. The workflow engine framework includes: a resource management unit configured to manage resources including engine components and workflow property specification components; a system configuration unit configured to create an engine by assembling the property specification components; and a system control unit configured to drive and execute one or more engines. Further the workflow engine framework is allocated to each of two or more different signal domains and forms a cross-domain adaptive workflow engine framework.

Abstract: Provided is an engine container configured by a workflow engine framework for a cross-domain extension, including a plurality of operators configured to interwork with a plurality of representational state transfer (REST) application programming interfaces (APIs), respectively, a runner configured to sequentially call the plurality of operators according to a request from a client, and a controller configured to control an operation of the plurality of operators and the runner, wherein each operator operates in a pipeline manner to call a corresponding REST API using uniform resource locator (URL) information transferred from the runner and to transfer a processing result obtained by processing data provided through the corresponding called REST API to a next operator.

Abstract: A workflow engine framework for creating a single-domain adaptive and a cross-domain adaptive workflow engine platform is disclosed. The single-domain adaptive workflow engine framework is allocated to each of two or more different signal domains and forms a cross-domain adaptive workflow engine framework. Here, the single-domain adaptive workflow engine framework includes a resource management unit configured to manage resources including engine components and workflow property specification components; a system configuration unit configured to create an engine by assembling the property specification components; and a system control unit configured to drive and execute one or more engines.

Abstract: Provided are a system and method for controlling a workflow across domains on the basis of a hierarchical engine framework. Inventive workflow control makes it possible to configure a flexible hierarchical engine framework and provide a workflow service with low latency. Also, the system and method make it possible to control a workflow by building an engine and a data pipeline across domains.

Abstract: A workflow engine framework for creating a single-domain adaptive and a cross-domain adaptive workflow performing platform is disclosed. The workflow engine framework includes: a resource management unit configured to manage resources including engine components and workflow property specification components; a system configuration unit configured to create an engine by assembling the property specification components; and a system control unit configured to drive and execute one or more engines. Further the workflow engine framework is allocated to each of two or more different signal domains and forms a cross-domain adaptive workflow engine framework.

Abstract: Provided is a data meta-scaling method. The data meta-scaling method optimizes an abbreviation criterion for abbreviating data through continuous knowledge augmentation in various dimensions which enable expression of data in a process of performing machine learning.

Abstract: Provided are a self-learning system and method for automatically performing machine learning (ML). The self-learning system includes a memory configured to store an ML knowledge database (DB) in which ML knowledge is stored and a program for automatically performing ML based on request information of a user, and a processor configured to execute the program stored in the memory. Here, when executing the program, the processor creates or recommends at least one workflow corresponding to the request information of the user based on the ML knowledge stored in the ML knowledge DB and generates an execution code for performing the created or recommended workflow.

Abstract: Provided are a data processing apparatus and method for merging and processing deterministic knowledge and non-deterministic knowledge. The data processing apparatus and method may efficiently process various real-time and large-scale data to convert the data into knowledge by merging and processing non-deterministic knowledge and also deterministic knowledge perceived by an expert. Thus, it is possible to adaptively operate in accordance with a dynamically changing application service environment by converting a conversion rule for converting collected data generated from an application service system into semantic data, a context awareness rule for perceiving context information from given information, and a user query for searching for knowledge information into knowledge and gradually augmenting the knowledge information in accordance with an application service environment.

Abstract: Provided are an adaptive knowledge base construction system and method. The adaptive knowledge base construction system includes a machine learning engine analyzing a correlation between pieces of data included in a first data set in a process of learning the first data set input thereto, based on machine learning, a rule generator generating a rule based on the machine learning by using an analysis result obtained by analyzing the correlation, and a semantic rule generator generating a semantic rule from the rule based on the machine learning by using a language expressing ontology, and reflecting the generated semantic rule in a knowledge base to extend the knowledge base.

Abstract: There is provided a system for providing information. The system includes a data classifying device configured to receive original data and classify the original data as real time data or general data; a real time data analyzing device configured to receive the real time data from the data classifying device and generate condensed information including only a part that satisfies predefined conditions among attribute information of the real time data; and a distributed parallel processing device configured to receive the general data from the data classifying device, perform a predetermined distributed parallel computation process on the general data, and generate analysis information.

Abstract: An aging environment measurement apparatus measures aging environment data within an oak barrel and transmits the measured aging environment data within the oak barrel to a server, and the aging environment measurement apparatus is mounted in a bung of the oak barrel.

Abstract: An apparatus, a method and a non-transitory computer-readable recording medium for detecting a moving object using a depth map is provided. The apparatus includes a segment image generator unit that generates a segment image to distinguish each object using a depth image of a current input frame; a background image generator unit that generates a current background image by applying a moving average method to the depth image and a background image of a previous input frame; and a moving mask generator unit that generates a moving mask by comparing the depth image with the current background image to thereby find moving parts in the depth image.

Abstract: Exemplary embodiments of the present invention relate to a resource processing scheme which can be used for web of things services. The web of things plug-in system according to exemplary embodiments of the present invention comprises: a web of things resource storing unit configured to store a web of things resource which represent at least one of a thing itself and any data produced by the thing; and a web of things resource processing unit configured to perform resource processing on the web of things resources stored in the web of things resource storing unit. According to exemplary embodiments of the present invention, information from things can be provided in the form of web resources through the web to web of things service user as well as to another things.

Abstract: Exemplary embodiments of the present invention relates to a resource sharing for M2M service capabilities. A sharing local resource sharing method of M2M component according to an embodiment of the present invention comprises generating an replacement network service capability layer when a pre-determined component which is included in a device/gateway domain is not connected to a network domain or a pre-determined request is made; and performing communication with at least one of other components included in the device/gateway domain through the generated replacement NSCL. In exemplary embodiments of the present invention, M2M service capabilities may be replaced or changed according to system conditions.