Abstract: A storage device may set a write buffer including one or more of a plurality of first type memory blocks. And the storage device may determine whether a threshold condition is satisfied when a power off request is received, and add one or more target memory blocks selected from among a plurality of second type memory blocks to the write buffer when it is determined that the threshold condition is satisfied.

Abstract: A power control device configured for diagnosing an open-circuit fault occurring in a power system of an autonomous vehicle and an open-circuit diagnosis method thereof, may include a power control switch that selectively connects or separates main power output from the first power supply and auxiliary power output from the second power supply, and a processor that determines a possibility of an open-circuit fault of a vehicle power source based on a current flowing through the power control switch and determines whether it is possible to drive an electric load with an output power of the second power supply alone and determine an open-circuit position based on an output of the first power supply when there is the possibility of the open-circuit fault.

Abstract: Disclosed in the present invention is a floating hologram system. The floating hologram system includes a diffuser configured to form a projection image using light beams transmitted from an image transmitter and diffuse the formed image, and a holographic optical element on which the image diffused from the diffuser is incident and which generates a virtual image floating at a position a predetermined distance therefrom and has a convex lens characteristic. A distance between the diffuser and the holographic optical element is determined based on a focal length of the holographic optical element and a distance from the holographic optical element to the virtual image.

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: 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: A memory system includes a storage medium and a controller. The storage medium includes a plurality of memory regions. The controller delays a garbage collection operation on a memory region among the plurality of memory regions according to an invalidation ratio increase amount of the memory region.

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: 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: 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 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 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: The present invention relates to a method for controlling an Access Point (AP) connection and an electronic device thereof. A method of controlling an AP connection by an AP controller includes detecting a movement of an electronic device which is connected to a first AP, determining an AP which is the closest to the detected electronic device, and, when the determined AP is different from the first AP, releasing the connection between the electronic device and the first AP to make the electronic device connect to the determined AP. Accordingly, the present invention has an effect in that the AP controller can provide a proper service in accordance with a position of the electronic device.

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: According to an exemplary embodiment of the present invention, a method for managing a resource using an apparatus for managing a resource is provided. The apparatus for managing a resource generates a first instance for a first community using a first ontology class about communities including at least one resource as a member according to a goal. The apparatus for managing a resource generates a second instance for a first resource using a second ontology class about resources. Further, the apparatus for managing a resource estimates a relation between the first instance and the second instance.

Abstract: The present invention relates to a method for controlling an Access Point (AP) connection and an electronic device thereof. A method of controlling an AP connection by an AP controller includes detecting a movement of an electronic device which is connected to a first AP, determining an AP which is the closest to the detected electronic device, and, when the determined AP is different from the first AP, releasing the connection between the electronic device and the first AP to make the electronic device connect to the determined AP. Accordingly, the present invention has an effect in that the AP controller can provide a proper service in accordance with a position of the electronic device.

Abstract: Exemplary embodiments of the present invention relate to a method and apparatus for big data parallel inference. A method for data parallel inference according to an embodiment of the present invention comprises generating a predetermined network comprising a pattern network and a join network based on rule files and a predetermined algorithm; performing a pattern matching test for input data in parallel on a plurality of pattern matching means by loading the pattern network to each of the plurality of pattern matching means and distributing the inputted data to the plurality of pattern matching means; and inferring new data by performing a join matching test for the data which has passed the pattern matching test. According to embodiments of the present invention, new data can be inferred by analyzing accurately and fast big data.