Abstract: Provided is a hydrophobic silica aerogel blanket comprising holes, so that the diffusion of a surface modifier is facilitated in a blanket during a surface modification process to improve the efficiency of surface modification. Accordingly, the hydrophobic silica aerogel has not only excellent physical properties such as specific surface area and thermal conductivity, but also a controlled degree of hydrophobicity, and thus, can have high hydrophobicity.

Abstract: An example electronic device includes a display, a communication circuit, a memory, and at least one processor configured to, based on a signal for requesting transmission of identification information including a call word for using first mode of an artificial intelligence assistant function of the electronic device being received, from another electronic device, through the communication circuit using first communication method, control the display to display a user interface for requesting user confirmation for transmission of the identification information; control the communication circuit to transmit the identification information to the another electronic device as a result of user confirmation through the user interface; and receive information for using a second communication method from the another electronic device.

Abstract: An electronic device and a control method therefor are disclosed. The disclosed electronic device includes an input part, a communication part, a processor, and a memory, wherein the memory may include instructions for controlling the communication part such that the processor requests identification information including a call word for using an artificial intelligence assistant function to another electronic device when an event for requesting configuration of a first mode in which the artificial intelligence assistant function of the other electronic device can be used occurs, for controlling the communication part to receive the identification information from the other electronic device through the communication part in response to the request, and transmit a user command to the other electronic device based on the identification information if the user command is received during operation of the first mode of the artificial intelligence assistant.

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: An electronic device and a control method therefor are disclosed. The disclosed electronic device includes an input part, a communication part, a processor, and a memory, wherein the memory may include instructions for controlling the communication part such that the processor requests identification information including a call word for using an artificial intelligence assistant function to another electronic device when an event for requesting configuration of a first mode in which the artificial intelligence assistant function of the other electronic device can be used occurs, for controlling the communication part to receive the identification information from the other electronic device through the communication part in response to the request, and transmit a user command to the other electronic device based on the identification information if the user command is received during operation of the first mode of the artificial intelligence assistant.

Abstract: An apparatus/method for extracting multiple features from time series data collected from a plurality of sensors and for performing transfer learning on them. There is provided an apparatus including: a multi-feature extraction unit for extracting multiple features from a data stream for each sensor inputted from the plurality of sensors; a transfer-learning model generation unit for extracting useful multi-feature information from a learning model which has finished pre-learning, for the multiple features for forwarding the extracted multi-feature information to a multi-feature learning unit to generate a learning model that performs transfer learning on the multiple features; and the multi-feature learning unit for receiving learning variables from the learning model for each of the multiple features and for performing parallel learning for the multiple features, to calculate and output a loss. In addition, there is provided an apparatus for detecting leaks in plant pipelines.

Abstract: Provided are an apparatus and method for detecting an anomaly in a plant pipe using multiple meta-learning. When a multi-sensor data stream about a plant pipe is received, each of a plurality of meta-learning modules for processing different packet section ranges, extracts one or more preset types of features from sensor data of packet section ranges set according to trend from an arbitrary reception time point, generates 2D image features of the features according to multi-sensor-specific times, generates 3D volume features by accumulating the 2D image features in a depth direction according to multiple sensors, and learns the 3D volume features in parallel through multi-sensor-specific learning modules. Results of the learning of the meta-learning modules are aggregated, and it is determined whether there is an anomaly in a plant pipe according to a learning result selected based on an optimal combination of multiple features, multiple sensors, and multiple packet sections.

Abstract: The present invention is directed to providing a total periodic de-identification management apparatus capable of setting de-identification and degrees of adequacy of non-identified data as unit components, providing work flow information so that an operator can select desired unit components, and performing de-identification to correspond to total periodic work flow parsing information including the combination of the unit components selected by the operator.

Abstract: Provided are an apparatus and method for detecting an anomaly in a plant pipe using multiple meta-learning. When a multi-sensor data stream about a plant pipe is received, each of a plurality of meta-learning modules for processing different packet section ranges, extracts one or more preset types of features from sensor data of packet section ranges set according to trend from an arbitrary reception time point, generates 2D image features of the features according to multi-sensor-specific times, generates 3D volume features by accumulating the 2D image features in a depth direction according to multiple sensors, and learns the 3D volume features in parallel through multi-sensor-specific learning modules. Results of the learning of the meta-learning modules are aggregated, and it is determined whether there is an anomaly in a plant pipe according to a learning result selected based on an optimal combination of multiple features, multiple sensors, and multiple packet sections.

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 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 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: An electronic device and method and power supply are disclosed. The electronic device includes comprising a connector for electrically coupling with an external power supply unit, and a processor. The processor implements the method, which includes detecting a connection state with the external power supply unit, and detecting whether power supplied from the external power supply unit is abnormal, and controlling the power when the power supplied has an abnormal value. The power supply may include a connector for electrically coupling with an electronic device, and a processor for detecting a connection state with the electronic device, detecting whether power supplied to the electronic device by the power supply unit has an abnormal value, and controlling the supplied power when the power is abnormal.

Abstract: A charge device for controlling an abnormal charge request is provided. The charge device includes a controller that interrupts a charge path, when power is applied and that determines whether a charge request is an abnormal charge request through a detour charge path and that controls to maintain interruption of the charge path, if the charge request is an abnormal charge request. The controller may be further configured to interrupt the detour charge path, in response to determining that the charge request is a normal charge request; connect the charge path; and supply a charge current to the charge path.

Abstract: An apparatus and method for controlling the execution of mashup WoT service are disclosed herein. The apparatus includes a WoT mashup service functionality entity, a WoT service execution functional entity, and a WoT service repository. The WoT mashup service functionality entity makes a response to a mashup WoT service request from a WoT service user by executing a mashup WoT service optimized for the WoT service user. The WoT service execution functional entity returns the results of simple WoT services to the WoT mashup service functionality entity in response to a request for the execution of the simple WoT services for the execution of the mashup WoT service from the WoT mashup service functionality entity. The WoT service repository stores WoT service execution descriptions each descriptive of execution logic for each of the simple WoT services.

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: Provided is an ethylene copolymer having improved hygienic property. More particularly, the ethylene copolymer satisfies a correlation between a density thereof and an extract content. The ethylene copolymer having improved hygienic property can be applied in injection molding, rotation molding, or blow molding.

Abstract: An apparatus and method for controlling the execution of mashup WoT service are disclosed herein. The apparatus includes a WoT mashup service functionality entity, a WoT service execution functional entity, and a WoT service repository. The WoT mashup service functionality entity makes a response to a mashup WoT service request from a WoT service user by executing a mashup WoT service optimized for the WoT service user. The WoT service execution functional entity returns the results of simple WoT services to the WoT mashup service functionality entity in response to a request for the execution of the simple WoT services for the execution of the mashup WoT service from the WoT mashup service functionality entity. The WoT service repository stores WoT service execution descriptions each descriptive of execution logic for each of the simple WoT services.

Abstract: An electronic device and method and power supply are disclosed. The electronic device includes comprising a connector for electrically coupling with an external power supply unit, and a processor. The processor implements the method, which includes detecting a connection state with the external power supply unit, and detecting whether power supplied from the external power supply unit is abnormal, and controlling the power when the power supplied has an abnormal value. The power supply may include a connector for electrically coupling with an electronic device, and a processor for detecting a connection state with the electronic device, detecting whether power supplied to the electronic device by the power supply unit has an abnormal value, and controlling the supplied power when the power is abnormal.

Abstract: A charge device for controlling an abnormal charge request is provided. The charge device includes a controller that interrupts a charge path, when power is applied and that determines whether a charge request is an abnormal charge request through a detour charge path and that controls to maintain interruption of the charge path, if the charge request is an abnormal charge request. The controller may be further configured to interrupt the detour charge path, in response to determining that the charge request is a normal charge request; connect the charge path; and supply a charge current to the charge path.