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: A method of calculating a comprehensive disease index (CDI) is disclosed. The method includes analyzing pieces of medical data to calculate a disease risk value, analyzing pieces of vital data and vital data mapped to standard clinic guideline data among the pieces of vital data to calculate a disease severity value, and analyzing the disease risk value, the disease severity value, and medical knowledge information obtained from a medical knowledge base to calculate the CDI.

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 are an infrastructure apparatus and method of providing collaboration between thing devices. Since a plurality of thing devices located in a specific space share an experience where the plurality of thing devices have performed a collaboration service, each of the thing devices may search for peripheral thing devices for performing the collaboration service without intervention of a center server and may generate a collaboration group including the found thing devices, and tasks for performing through negotiation may be autonomously distributed to the thing devices included in the collaboration group, thereby providing autonomous collaboration between the thing devices.

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: According to a sensor network system and a method for processing sensor data, a sink node collects sensor data from sensor nodes, performs a prediction algorithm which is the same as a prediction algorithm performed in the sensor node to obtain a prediction value, when a sensing value is received from the sensor node, updates the prediction value to the sensing value, stores the sensing value as sensor data, determines whether the sensor node is a representative node when the sensing value is not received from the sensor node, and stores the prediction value as sensor data if the sensor node is the representative node, and corrects the prediction value based on the sensing value of a representative node and stores the corrected prediction value as sensor data if the sensor node is not the representative node.

Abstract: Provided are an infrastructure apparatus and method of providing collaboration between thing devices. Since a plurality of thing devices located in a specific space share an experience where the plurality of thing devices have performed a collaboration service, each of the thing devices may search for peripheral thing devices for performing the collaboration service without intervention of a center server and may generate a collaboration group including the found thing devices, and tasks for performing through negotiation may be autonomously distributed to the thing devices included in the collaboration group, thereby providing autonomous collaboration between the thing devices.

Abstract: A high energy efficiency sensor node and an operating method thereof are provided. The high energy efficiency sensor node may include a sensing unit to generate sensed information and to store the sensed information in a database when a set period commences, and a control unit to obtain n pieces of sensed information corresponding to n periods from the database, and to transmit the n pieces of sensed information obtained to a first neighbor node when the n periods elapse.

Abstract: A device and method for controlling lighting based on an illuminance model. The method for controlling lighting based on an illuminance model includes modeling actual illuminance measured by one or more illuminance measurement devices; generating a lighting profile based on the illuminance model; and controlling one or more lighting devices for each lighting scene according to the generated lighting profile.

Abstract: A device and method for controlling lighting based on an illuminance model. The method for controlling lighting based on an illuminance model includes modeling actual illuminance measured by one or more illuminance measurement devices; generating a lighting profile based on the illuminance model; and controlling one or more lighting devices for each lighting scene according to the generated lighting profile.

Abstract: In a wireless sensor actuator network system, actuators to be actuated to correspond to a plurality of sensors are selected using an A-S matrix that represents relationship strength between a plurality of actuators and the plurality of sensors based on sensing data of the plurality of sensors, and only the selected actuators determine actuation values based on values of the A-S matrix.

Abstract: A method for transmitting, storing and managing data by compressing data packets to be transmitted and received over an advanced metering infrastructure (AMI) network with low-capacity memory and low-transfer rate. A number of transmission packets may be reduced using at least one of a bitmap interval algorithm that assigns a bitmap value to each interval, thereby reducing a number of request packets, a repeated-bitmap interval algorithm that represents sequential data values as bitmap values by toggling a bit value between 0 and 1 in each data value when a change occurs in the sequential data values, and a run-length encoding algorithm that compresses data by encoding run length of sequential identical data.

Abstract: An apparatus and method for processing a path management packet is provided, the method including determining whether a router for processing a received path management packet is a storing node, and when the router is determined to be a storing node, controlling the path management packet to be stored in a routing table, or when the router is determined to be a non-storing node, failing to store the path management packet in the routing table and controlling the path management packet to be transmitted to a subsequent node.

Abstract: A method for transferring data in a method for transferring data signals by a data communication system comprising at least one node, the method comprises: transmitting a wakeup message when a source node receives a probe packet from at least one of other communication nodes; when at least one node which received the wakeup message is a relay node, transmitting the wakeup message upon receiving the probe packet from another communication node by the relay node; when the node which received the wakeup message is a destination node, transmitting a suppress message upon receiving the wakeup message by the destination node; when the relay node receives the suppress message, transmitting the suppress message; and when the source node receives the suppress message, transmitting concurrently a data signal to the destination node through the relay node.

Abstract: According to a sensor network system and a method for processing sensor data, a sink node collects sensor data from sensor nodes, performs a prediction algorithm which is the same as a prediction algorithm performed in the sensor node to obtain a prediction value, when a sensing value is received from the sensor node, updates the prediction value to the sensing value, stores the sensing value as sensor data, determines whether the sensor node is a representative node when the sensing value is not received from the sensor node, and stores the prediction value as sensor data if the sensor node is the representative node, and corrects the prediction value based on the sensing value of a representative node and stores the corrected prediction value as sensor data if the sensor node is not the representative node.

Abstract: In a wireless sensor actuator network system, actuators to be actuated to correspond to a plurality of sensors are selected using an A-S matrix that represents relationship strength between a plurality of actuators and the plurality of sensors based on sensing data of the plurality of sensors, and only the selected actuators determine actuation values based on values of the A-S matrix.

Abstract: Provided is a Media Access Control (MAC) technology that may improve a data transmission performance in an asynchronous sensor network. The MAC technology may increase a waked-up time interval of a reception node to thereby continue to receive traffic from a transmission node, and change a frequency band where data is transmitted and received to thereby reduce occurrence of collision. Also, when the wake-up time interval of the reception node is similar to a wake-up time of a neighboring node, the wake-up time interval of the reception node may be moved to another time interval, thereby improving the data transmission performance.

Abstract: An apparatus and method for processing a path management packet is provided, the method including determining whether a router for processing a received path management packet is a storing node, and when the router is determined to be a storing node, controlling the path management packet to be stored in a routing table, or when the router is determined to be a non-storing node, failing to store the path management packet in the routing table and controlling the path management packet to be transmitted to a subsequent node.

Abstract: Provided is a data transmission method of a plurality of sending nodes in a sensor network. In the data transmission method, data is generated to be transmitted to a receiving node, respectively. Headers of the generated data are transmitted to the receiving node, respectively, in response to a Wake-up Notification Message (WNM) from the receiving node. A Grant Notification Message (GNM) for selecting one of the plurality of sending nodes is received from the receiving node. The plurality of sending nodes transmit a payload of the generated data according to the GNM, or switch into sleep mode without data transmission.

Abstract: A method for transmitting, storing and managing data by compressing data packets to be transmitted and received over an advanced metering infrastructure (AMI) network with low-capacity memory and low-transfer rate. A number of transmission packets may be reduced using at least one of a bitmap interval algorithm that assigns a bitmap value to each interval, thereby reducing a number of request packets, a repeated-bitmap interval algorithm that represents sequential data values as bitmap values by toggling a bit value between 0 and 1 in each data value when a change occurs in the sequential data values, and a run-length encoding algorithm that compresses data by encoding run length of sequential identical data.