Abstract: Provided is a system for predicting disease based on biosignal data and medical knowledge base convergence. The system includes a first system unit configured to receive, from a user terminal, biosignal data collected from at least one sensor for sensing a biosignal, and calculate a disease score from the biosignal data based on a pre-trained prediction model, a second system unit configured to provide medical knowledge data for the first system unit, analyze a query input from the user terminal to provide a corresponding response, and augment the medical knowledge data based on the query and response; and a unified distributed repository that includes a database for enqueuing the biosignal data, a manager database for storing additional information of a user, and a medical knowledge base for storing predetermined medical knowledge data.

Abstract: A method of calculating a comprehensive disease index (CDI) is disclosed. The method includes analyzing pieces of medical data to calculate a disease risk value, analyzing pieces of vital data and vital data mapped to standard clinic guideline data among the pieces of vital data to calculate a disease severity value, and analyzing the disease risk value, the disease severity value, and medical knowledge information obtained from a medical knowledge base to calculate the CDI.

Abstract: Provided is a system for predicting disease based on biosignal data and medical knowledge base convergence. The system includes a first system unit configured to receive, from a user terminal, biosignal data collected from at least one sensor for sensing a biosignal, and calculate a disease score from the biosignal data based on a pre-trained prediction model, a second system unit configured to provide medical knowledge data for the first system unit, analyze a query input from the user terminal to provide a corresponding response, and augment the medical knowledge data based on the query and response; and a unified distributed repository that includes a database for enqueuing the biosignal data, a manager database for storing additional information of a user, and a medical knowledge base for storing predetermined medical knowledge data.

Abstract: The present invention relates to a device and method of predicting disease by using elderly cohort data, and more particularly, to a device and method of predicting disease by using elderly cohort data and an elderly disease prediction model applied thereto, which may predict an outbreak possibility of an elderly disease including cerebral stroke by using cohort data of 60 or more-year-old persons.

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: A method of filtering content including privacy information in an Internet of things (IoT) terminal includes generating, by the processor, content management data prescribing a mapping relationship between pieces of content, a kind of a network, and a plurality of applications and storing the content management data in a content management data storage unit, based on a user input, the content management data prescribing a security policy associated with external transmission of the pieces of content, and when an external transmission request message corresponding to specific content of the pieces of content is received from the specific application, determining, by the processor, whether to allow external transmission of the specific content in response to the external transmission request message, based on the security policy prescribed in the content management data.

Abstract: The invention relates to a technology for detecting an abnormal signal using a filter for removing normal sound (or normal signals) around a sensor at normal times. The filter is provided to remove normal sound based on a denoising autoencoder learning technique for removing noise and used to determine whether field sound is an abnormal signal different from that of normal times. The filter is trained to pass normal sound, regarded as noise, to output a value of 0 and pass an abnormal signal without change. The filter is retrained by collecting only normal sound rather than abnormal signals in the field and then adding the collected normal sound to the existing training data. Therefore, even machine-learning nonexperts may easily and conveniently retrain the filter.

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: According to one embodiment disclosed herein, an edge device may include: a sensor circuit capable of sensing a surrounding environment; and a processor, wherein the processor is configured to: obtain sensor data about the surrounding environment through the sensor circuit; identify a notification urgency of the sensor data by performing an inference based on a neural network graph via an artificial intelligence inference engine; and adjust a notification period of the sensor data depending on the identified urgency.

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: Provided are a method of allocating resources in a wireless local area network (WLAN) system and the WLAN system including an access point (AP) to allocate a resource for communication between a relay and a station associated with the relay, the relay to allocate a restricted access window (RAW) or a slot for communication with a station based on the allocated resource, and the station to communicate with the relay based on the allocated RAW or the allocated slot.

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: An automatic configuration device, for an Internet-of-Things (IoT) device, which operates a data analysis-based automation system includes when various types of IoT devices are registered in a system, a data analysis-based automation system for supporting both use of functions of the IoT devices and an effective analysis of collected data.

Abstract: Provided are an infrastructure apparatus and method of providing collaboration between thing devices. Since a plurality of thing devices located in a specific space share an experience where the plurality of thing devices have performed a collaboration service, each of the thing devices may search for peripheral thing devices for performing the collaboration service without intervention of a center server and may generate a collaboration group including the found thing devices, and tasks for performing through negotiation may be autonomously distributed to the thing devices included in the collaboration group, thereby providing autonomous collaboration between the thing devices.

Abstract: A method of filtering content including privacy information in an Internet of things (IoT) terminal includes generating, by the processor, content management data prescribing a mapping relationship between pieces of content, a kind of a network, and a plurality of applications and storing the content management data in a content management data storage unit, based on a user input, the content management data prescribing a security policy associated with external transmission of the pieces of content, and when an external transmission request message corresponding to specific content of the pieces of content is received from the specific application, determining, by the processor, whether to allow external transmission of the specific content in response to the external transmission request message, based on the security policy prescribed in the content management data.

Abstract: Provided is an apparatus and method for hierarchically providing a context-aware service by real-time user behavior analysis, autonomously collecting information required for the context-aware service using a smart device, and autonomously configuring the service. The apparatus for hierarchical context awareness and device autonomous configuration through a real-time user behavior analysis includes a fast context aware engine configured to receive user data, infer a context, and provide a primary response context aware service, and a fine context aware engine configured to provide a secondary response context aware service using context information inferred by the fast context aware engine and machine learning prediction data, wherein the fast context aware engine reconfigures a resource of a smart device to suit a service.

Abstract: A method and an apparatus for communication between peer devices in which a cyclic-superframe including a plurality of superframes is used are provided. The method may include: receiving a discovery request command frame including information about a first cyclic-superframe for a peering period at an active contention access period (CAP) of the plurality of superframes; transmitting, to a peer device that has transmitted the discovery request command frame, a discovery response command frame corresponding to the discovery request command frame; and performing the peering period with the peer device based on the first cyclic-superframe.