Abstract: Methods and systems for analyzing data. The data analysis method includes generating a case data set corresponding to the data analysis request; collecting and storing raw data corresponding to the case data set; generating a knowledge package based on the raw data; generating a knowledge package library based on the knowledge package; and providing the user with the knowledge package library. Also, the case data set includes first selection parameters, and the knowledge package library includes second selection parameters different from the first selection parameters. According to the embodiments of the present disclosure, a deep understanding of business and ecosystem which is previously obtained from big data analysis and insights about data group selection, modeling, and analysis method can be provided, such that a big data analysis can be performed with enhanced efficiency.

Abstract: A central safety management apparatus includes a safety management unit collecting safety management policies and regulations for each energy source and calculating operation criteria for each energy source; an accident precursor analysis unit collecting accident event related information of each energy source from a plurality of energy source safety management apparatuses managing different energy sources and analyzing occurrence possibility of safety accidents in advance based on the accident event related information and the operation criteria; and a safety enforcement unit transmitting a result of the analysis of the accident precursor analysis unit to the plurality of energy source safety management apparatuses.

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: A central safety management apparatus includes a safety management unit collecting safety management policies and regulations for each energy source and calculating operation criteria for each energy source; an accident precursor analysis unit collecting accident event related information of each energy source from a plurality of energy source safety management apparatuses managing different energy sources and analyzing occurrence possibility of safety accidents in advance based on the accident event related information and the operation criteria; and a safety enforcement unit transmitting a result of the analysis of the accident precursor analysis unit to the plurality of energy source safety management apparatuses.

Abstract: Methods and systems for analyzing data. The data analysis method includes generating a case data set corresponding to the data analysis request; collecting and storing raw data corresponding to the case data set; generating a knowledge package based on the raw data; generating a knowledge package library based on the knowledge package; and providing the user with the knowledge package library. Also, the case data set includes first selection parameters, and the knowledge package library includes second selection parameters different from the first selection parameters. According to the embodiments of the present disclosure, a deep understanding of business and ecosystem which is previously obtained from big data analysis and insights about data group selection, modeling, and analysis method can be provided, such that a big data analysis can be performed with enhanced efficiency.

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: 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: An energy control apparatus and method using a usage property of an electronic device. The energy control method may include: setting a total power consumption to be less than a predetermined threshold; verifying a usage property for each electronic device when a collected total power consumption exceeds the threshold; calculating a scheduled end time based on the average usage time of each remaining electronic device excluding, from among operating devices, an electronic device of which power-off is unavailable; verifying a remaining electronic device excluding an electronic device of which scheduled end time is less than the threshold; controlling a temporarily stoppable electronic device to be temporarily stopped; controlling a power adjustable electronic device to decrease a power consumption when the total power consumption exceeds the threshold; and starting the temporarily stopped electronic device at a point in time when the total power consumption decreases to be less than the threshold.

Abstract: The present invention relates to a method and system for communication in an application field that may communicate with a sensor or a computer incorporated in an object or an environment to collect information about an object or an environment associated with the object, or process the information to semantic information to be shared and provided to a user or the object, and may recognize and determine a surrounding circumstance independently and without a command from an external source, thereby providing an intended application service.

Abstract: Provided is a method for managing dormant nodes in a wireless sensor network. The method includes the steps of: a) acquiring and storing information on distance and location of sensor nodes registered in a corresponding cluster among at least one cluster managed by a managing node; b) selecting a dormant object node among the sensor nodes by the managing node; c) transmitting dormant information that the dormant object node should go into a dormant state for a predetermined period through a beacon message to the dormant object node and creating a dormant node management table; and d) updating a dormant time of the dormant node management table every beacon cycle by the managing node according to setup of a dormant time central managing function and notifying dormancy expiration to the corresponding dormant node.

Abstract: Disclosed are an apparatus and a method for smart energy management by controlling power consumption. Power consumption information is collected from one or more electrical device groups with a smart meter and electrical devices connected through gateways. When the method estimates that the power consumption will be larger than a threshold value, a control command is outputted to a load controller connected through the gateway and power consumption of electrical devices that belong to the electrical device using group is remotely controlled. According to an embodiment of the present invention, an energy company that produces and supplies energy can supply energy depending on a consumer's demand by using current facilities because the present invention can collect remotely energy consumption, analyze energy consumption patterns, and control automatically the energy consumption of electrical devices installed in a customer's area.

Abstract: Provided is a method for buffering a receive packet in a sensor node including a radio frequency (RF) transceiver, a media access control (MAC) hardware block and a micro controller unit (MCU).

Abstract: Provided is a distributional alert system using a ubiquitous sensor network (USN). When a disaster occurs, the distributional alert system detects it in a sensor node, informs the area where the disaster occurs of danger through an actuator, such as siren, or informs a management system of the danger through a wired/wireless network. The distributional alert system includes: a first sensor node for generating sense data by sensing surroundings with a sensor therein, determining whether a disaster occurs by analyzing the sense data, and creating and transmitting emergency data based on the determination result, while forming a sensor network; and an alerting node for receiving emergency data from the first sensor node on the sensor network, and outputting disaster circumstantial information to a sensor field of the sensor network upon receipt of the emergency data.

Abstract: Provided is a method for managing dormant nodes in a wireless sensor network. The method includes the steps of: a) acquiring and storing information on distance and location of sensor nodes registered in a corresponding cluster among at least one cluster managed by a managing node; b) selecting a dormant object node among the sensor nodes by the managing node; c) transmitting dormant information that the dormant object node should go into a dormant state for a predetermined period through a beacon message to the dormant object node and creating a dormant node management table; and d) updating a dormant time of the dormant node management table every beacon cycle by the managing node according to setup of a dormant time central managing function and notifying dormancy expiration to the corresponding dormant node.

Abstract: Provided is a data storing apparatus and method for Radio Frequency Identification (RFID) tags with sensors. The apparatus includes: a first storing block which includes a kill password storage and an access password storage; a second storing block which includes an Electronic Product Code (EPC) storage, a protocol control storage, and an error check storage storing a Cyclic Redundancy Checking (CRC) code for detecting a transmission error; a third storing block which includes a tag identifier storage storing a tag identifier including a manufacture model and a serial number of the tag; and a fourth storing block which includes an initial sensor data storage storing initial information of the sensor, a real-time information storage, a maximum/minimum data storage storing maximum/minimum values, a sensor data storage storing sensing data actually measured through the sensor embedded in the RFID tag.

Abstract: Provided is a data storing apparatus and method for Radio Frequency Identification (RFID) tags with sensors. The apparatus includes: a first storing block which includes a kill password storage and an access password storage; a second storing block which includes an Electronic Product Code (EPC) storage, a protocol control storage, and an error check storage storing a Cyclic Redundancy Checking (CRC) code for detecting a transmission error; a third storing block which includes a tag identifier storage storing a tag identifier including a manufacture model and a serial number of the tag; and a fourth storing block which includes an initial sensor data storage storing initial information of the sensor, a real-time information storage, a maximum/minimum data storage storing maximum/minimum values, a sensor data storage storing sensing data actually measured through the sensor embedded in the RFID tag.

Abstract: Provided is a method for buffering a receive packet in a sensor node including a radio frequency (RF) transceiver, a media access control (MAC) hardware block and a micro controller unit (MCU).

Abstract: Provided is a distributional alert system using a ubiquitous sensor network (USN). When a disaster occurs, the distributional alert system detects it in a sensor node, informs the area where the disaster occurs of danger through an actuator, such as siren, or informs a management system of the danger through a wired/wireless network. The distributional alert system includes: a first sensor node for generating sense data by sensing surroundings with a sensor therein, determining whether a disaster occurs by analyzing the sense data, and creating and transmitting emergency data based on the determination result, while forming a sensor network; and an alerting node for receiving emergency data from the first sensor node on the sensor network, and outputting disaster circumstantial information to a sensor field of the sensor network upon receipt of the emergency data.