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: 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: 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: 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: The present invention relates to an apparatus and a method for augmented cognition that can improve the cognitive ability of a worker by collecting various sensed data in a work place, generating artificial sensory information based on the collected sensed data, and providing the generated artificial sensory information in the form of an augmented cognition service.

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: 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 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.

Abstract: A sensor network management apparatus generates group specification information including requirements corresponding to an externally input service request, and forms a logical sensor network for the service request based on the generated group specification information. USN actuating information relating to USN (ubiquitous sensor network) resources included in the logical sensor network is generated, and USN resources are operated based on the USN actuating information.

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.

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: Disclosed herein is a process-based inter-thing collaboration apparatus and method in a Web of Things (WoT) environment, which can perform dynamic collaboration between things in a WoT environment. The presented apparatus includes an inter-thing collaboration design tool unit for designing an Inter-Thing Collaboration Process (ITCP) based on information of things including a device, a service, and a process, and an inter-thing collaboration management unit for dynamically configuring an inter-thing collaboration community based on context information of the things, and executing the ITCP designed by the inter-thing collaboration design tool unit.

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.