Abstract: Embodiments of the present disclosure are directed to an optical assembly for optical transceiver which is composed of two separate sub-assemblies including an assembly that is coupled with a substrate and has a post formed to have a central hollow into a multi-branched shape, for increasing the optical alignment efficiency between the optical elements included in the optical assembly for optical transceiver which involves multiple complicated and sophisticated processes, the optical assembly for optical transceiver being structured to drain out the epoxy resin or the refractive index matching material used when coupling the optical fiber inserted from the outside with the optical elements, whereby greatly reducing optical alignment errors caused by the epoxy resin or refractive index matching material, as well as directed to an optical transceiver using the optical assembly for optical transceiver.

Abstract: A method and an apparatus for exclusive reinforcement learning are provided, comprising: collecting information of states of an environment through the communication interface and performing a statistical analysis on the states using the collected information; determining a first state value of a first state among the states in a training phase and a second state value of a second state among the states in an inference phase based on analysis results of the statistical analysis; performing reinforcement learning by using one reinforcement learning unit of a plurality of reinforcement learning unit which performs reinforcement learnings from different perspectives according to the first state value; and selecting one of actions determined by the plurality of reinforcement learning unit based on the second state value and applying selected action to the environment.

Abstract: An apparatus and method for abnormal situation detection are disclosed. An abnormal situation detection apparatus can map first sensor data among sensor data transmitted from a plurality of sensors into a vector value, convert it into first situation information in the form of an image pattern, and generate a learning model using the first situation information and an abnormal situation reference range. In addition, the abnormal situation detection apparatus can convert second sensor data among sensor data transmitted from a plurality of sensors into a form that can be input to the learning model, and determine whether an abnormal situation occurs by applying the converted second data to the learning model.

Abstract: An apparatus and method for abnormal situation detection are disclosed. An abnormal situation detection apparatus can map first sensor data among sensor data transmitted from a plurality of sensors into a vector value, convert it into first situation information in the form of an image pattern, and generate a learning model using the first situation information and an abnormal situation reference range. In addition, the abnormal situation detection apparatus can convert second sensor data among sensor data transmitted from a plurality of sensors into a form that can be input to the learning model, and determine whether an abnormal situation occurs by applying the converted second data to the learning model.

Abstract: A method and an apparatus for exclusive reinforcement learning are provided, comprising: collecting information of states of an environment through the communication interface and performing a statistical analysis on the states using the collected information; determining a first state value of a first state among the states in a training phase and a second state value of a second state among the states in an inference phase based on analysis results of the statistical analysis; performing reinforcement learning by using one reinforcement learning unit of a plurality of reinforcement learning unit which performs reinforcement learnings from different perspectives according to the first state value; and selecting one of actions determined by the plurality of reinforcement learning unit based on the second state value and applying selected action to the environment.

Abstract: A method and an apparatus for urban infrastructure management using IoT. The method includes receiving sensing data from a plurality of IoT devices installed in the urban infrastructures; determining health states of the urban infrastructures or predicting occurrence of a disaster based on the received sensing data; and transmitting a warning message according to the predicted disaster occurrence to outside. Thus, the urban infrastructures can be managed efficiently, and the disaster occurrence can be predicted accurately.

Abstract: A method and an apparatus for urban infrastructure management using IoT. The method includes receiving sensing data from a plurality of IoT devices installed in the urban infrastructures; determining health states of the urban infrastructures or predicting occurrence of a disaster based on the received sensing data; and transmitting a warning message according to the predicted disaster occurrence to outside. Thus, the urban infrastructures can be managed efficiently, and the disaster occurrence can be predicted accurately.

Abstract: There are disclosed a general middleware bridge supporting an interoperability operation between devices on different middlewares and a method thereof. The general middleware bridge according to the present invention includes: a conversion rule collector collecting message conversion rules for an interoperability operation between different middleware devices; a conversion rule register registering the message conversion rules for each message type; and a message converter interconverting messages from the middleware devices on the basis of the message conversion rules and transferring the converted messages for each message type.

Abstract: A failure diagnosis method includes: generating a resource relationship map of resources to be managed on a network; and when a failure occurs in a certain service object within the network, extracting a topology relationship map from the resource relationship map by using the failed service object as a root node. The failure diagnosis method further includes searching a resource object caused the failure while checking related objects, starting from the root node in the topology relationship map.

Abstract: Provided are an apparatus and method for transforming an application for a multi-modal interface. The apparatus includes: a parsing means for parsing an original application to generate a parsed structure of the original application; an application transforming/creating means for transforming the parsed structure generated by the parsing means; a multi-modal synthesizing means for synthesizing the contents created by the application transforming/creating means with multi-modal information of the user terminal; a multi-modal detecting means for detecting multi-modal information received from the user terminal and transforming the detected information into contents that can be used by the device; and an action mapping means for mapping the contents, which are received from the multi-modal detecting means and can be used in the device, to action information contained in the original application to generate an event of the device according to the action information.

Abstract: Disclosed is a method for dynamically mapping a physical/logical relationship between resources. The method for physical/logical relationship mapping between resources includes: abstracting heterogeneous environments of physical resources; expressing the physical resources by a resource instance of a predetermined format to generate logical resources which are grouped and managed in accordance with types of the resources; and analyzing the physical/logical relationship between the resources to generate a relation map.

Abstract: A smart home system based on a cloud computing includes: a home gateway connecting a home network device to an external network, the home network device being connected to a home network at each home. The system further includes and a cloud server, connected to the home gateway, for collecting contents information stored in the home network device and resource information of the home network information and performing a unified management of the contents information and the resource information at the each home.

Abstract: A failure diagnosis method includes: generating a resource relationship map of resources to be managed on a network; and when a failure occurs in a certain service object within the network, extracting a topology relationship map from the resource relationship map by using the failed service object as a root node. The failure diagnosis method further includes searching a resource object caused the failure while checking related objects, starting from the root node in the topology relationship map.

Abstract: A semantic home network management system includes: a home network for collecting sensing information based on a state of a home network and analyzing the collected sensing information to configure semantic information; and a cloud inference apparatus for collecting and managing the semantic information provided from the home network through an internet protocol (IP) network, and applying an inference rule to the collected and managed semantic information to provide inference rule-applied semantic information to the home network. The inference rule is a rule that performs inference by recognizing at least one of a device state, a network state, a system state, and a service state.

Abstract: An apparatus for managing energy resources includes: a collection unit for collecting energy consumptions and resource information of a plurality of energy consumption devices; an integrated resource relation map management unit for generating and managing an integrated resource relation map which indicates correlations between energy resources one another consumed by the energy consumption devices by using the energy consumptions and the resource information; and an energy management unit for generating energy-saving measures based on the integrated resource relation map.

Abstract: Provided are a system and method for automatically setting up configurations of a home network. The system includes a setting information manager, placed within an individual home, for collecting and managing setting information associated with configurations of the home network. The setting information manager shares the setting information with a remote setting information management server or another setting information manager. Since customized setting information of an individual home is shared, setting information of home network configurations can be effectively managed, thereby reducing costs and efforts required for maintenance and repair of the home network.

Abstract: Disclosed are an apparatus and a method for integrated management of digitalized information and dynamic resources of a building, in order to integrate and manage digital information associated with a building and information on resources dynamically managed, such as various sensors and devices, networks, services, and the like in the building built up in a building designing or construction stage, resource objects are generated for each of the digitalized building information and dynamic resource information collected from one or more dynamic resources associated with the building, and a list thereof is maintained and managed, and an integrated map of a resource relationship object representing a relationship between the resource objects is generated, maintained, and managed on the basis of the list.

Abstract: Provided is a home-network UMB system and a method thereof for providing interoperability between devices connected one another through different types of middlewares in a home network. The home-network UMB system includes: a bridge core for establishing/releasing a connection between bridge adaptors of different types of middlewares and analyzing/transferring a universal middleware message in order to interoperate devices connected through different types of middlewares existed on a home network; and a plurality of bridge adaptor for connecting the bridge core to a corresponding middleware, and finding/releasing different types of devices, controlling/monitoring different types of devices and registering/creating an event for different types of devices through transforming a universal middleware bridge message to a local message of each middleware and vice versa.

Abstract: A data mapping device according to an exemplary embodiment of the present invention includes a system-information collecting unit configured to collect information on any one or more of a transmission device and a reception device connected through a network, a rule extracting unit configured to extract a data mapping rule corresponding to the information from a mapping-rule DB, and a data mapping unit configured to perform a mapping of data input from the transmission device according to the data mapping rule and to transmit the data to the reception device. According to the present invention, it is possible to improve interoperability between devices connected through a network.

Abstract: Provided is an inference-based home network error handling system and method capable of recognizing an error which occurs in a home network environment including a plurality of devices and services that are connected and executed, handling the error on the basis of an inference function, and providing support information used to recognize a cause of the error and handle the error to the user for the convenience of the user. Accordingly, errors are recognized according to devices, networks, and services, types of the errors recognized by applying inference rules set in advance and error handling rules are inferred, a result of the inferring is provided to the user, and error handling operations are performed according to a selection of a user.