Abstract: Disclosed is a transfer learning system for a deep neural network. The transfer learning system includes a pre-trained model storage unit configured to store a plurality of pre-trained models that are deep neural network models learned using one or more pre-training datasets, a transfer learning data input unit configured to receive transfer learning data, a pre-trained model selecting unit configured to select a pre-trained model corresponding to the transfer learning data from among the plurality of stored pre-trained models, and a transfer learning unit configured to generate one or more transfer learning models by performing transfer learning using the selected pre-trained model and the transfer learning data.

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: 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: 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: 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: An apparatus for generating IoT data is disclosed. The apparatus may search for a real IoT sensor capable of providing real IoT data desired by the user, collect the real IoT data desired by the user from the found real IoT sensor, and provide the collected real IoT data to the user. Also, when the real IoT sensor capable of providing the real IoT data desired by the user is not found, the apparatus may search for a realistic IoT sensor similar to the real IoT sensor, perform machine learning on the IoT data collected from the found realistic IoT sensor to generate realistic IoT data similar to the real IoT data, and provide the generated realistic IoT to the user.

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: A method and system for recommending a thing based on quality of service in a web of things environment, the method including (a) obtaining web log data and metadata of at least one thing; (b) computing QoS (Quality of Service) features of the thing from the web log data and metadata; (c) in response to obtaining user's review information on the thing, computing QoS grade information on the thing from the review information; and (d) generating a rule for predicting a QoS grade for a thing for which there is no user's review information with reference to the QoS grade information on the thing and the QoS features of the thing.

Abstract: Provided is a method that may provide an application extensibility by providing an open operation structure where an application service platform provides a service in interoperation with a sensor node or a sensor network including n sensor nodes. A device recognition system using an identifier of a sensor node may include: an identifier management server to obtain the identifier of the sensor node, and to provide address information regarding metadata and interface configuration software that are associated with the obtained identifier; and an application service platform to download the metadata and the interface configuration software using the provided address information, and to communicate with the sensor node based on the downloaded metadata and interface configuration software.

Abstract: The present invention relates to an apparatus and a method for offering a user-oriented sensory effect contents service. An apparatus for offering a user-oriented sensory effect contents service according to an embodiment of the present invention includes: a user context manager managing a user context including information on a user or information on user circumstances; and a device controller controlling a contents playing device capable of playing contents in accordance with the user context.

Abstract: The AAA client generates accounting data, transmits an accounting data transmission request message to the AAA server, and then receives a response message to the accounting data transmission request message from the AAA server. If receiving a transmission failure response message for the accounting data from the AAA server, the AAA client stores accounting data generated after receiving the transmission failure response message, and if an amount of the stored accounting data is increased to a certain limit, the AAA client sets an identifier for a batch accounting application in the accounting data and transmits an accounting data transmission request message, including stored batch accounting data and the session information, to the AAA server. The AAA server confirms the identifier and the transmission request message and searches the accounting record for session information mapped to the session information included in the ACR message.

Abstract: The AAA client generates accounting data, transmits an accounting data transmission request message to the AAA server, and then receives a response message to the accounting data transmission request message from the AAA server. If receiving a transmission failure response message for the accounting data from the AAA server, the AAA client stores accounting data generated after receiving the transmission failure response message, and if an amount of the stored accounting data is increased to a certain limit, the AAA client sets an identifier for a batch accounting application in the accounting data and transmits an accounting data transmission request message, including stored batch accounting data and the session information, to the AAA server. The AAA server confirms the identifier and the transmission request message and searches the accounting record for session information mapped to the session information included in the ACR message.