Abstract: Provided herein is a sensing management system capable of minimizing the amount of data transmission from sensors, the system including a plurality of sensors configured to sense information of surrounding environment, and, in response to a sensing value transmitted to a controller having a slope of a same directivity for twice or more times, to obtain a predicted slope using a current slope of the transmitted sensing values; and the controller configured to obtain the predicted slope using a same algorithm as the sensors, wherein, in response to a next sensing value being within an error range of the predicted slope, the sensors do not transmit the next sensing value to the controller.

Abstract: An energy management method for a residential area, the method comprising, in response to an energy management request from a user who lives in the residential area, collecting environment information and energy information on a household of the user, selecting an imitation target among households which have environment information and energy information similar to the environment information and the energy information on the household of the user from among all households in the residential area, setting a method for applying the energy information on the imitation target, and controlling energy management of the household of the user according to the set method.

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: Provided herein is an apparatus for data processing, the apparatus including a receiving module configured to receive first data; a data processing module configured to process the first data received from the receiving module, to generate second data including meta data of the first data, and third data including the first data with its data type changed to an array type; and a mapping module configured to change a system of the first data and second data received from the data processing module to generate fourth data and fifth data, and to generate sixth data including mapping data of between the first data and fourth data and between the second data and fifth data.

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 order to predict power consumption, previous measurements, which indicate the actual amount of power consumed in the past, and errors between previous estimates and the previous measurements, are used as first input data, and power consumption estimates for each prediction technique are simultaneously calculated by using the first input data in at least two prediction techniques. Next, the power consumption estimates calculated by each prediction technique and errors between the power consumption estimates and an actual measurement are used as second input data, and the final power consumption is predicted by making an additional power consumption prediction based on the second input data.

Abstract: In a light-installed area where a plurality of lights are installed, a light managing system senses a moving object that enters the light-installed area and predicts an predicted stop position of the moving object based on record information on a channel of movement corresponding to identification information on the moving object. The light managing system calculates a predicted channel of movement of the moving object based on the predicted stop position, and selects lights to be driven based on the calculated predicted channel of movement. The light managing system turns on the selected lights.

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: Provided is an apparatus and method for managing a power equipment in an advanced metering infrastructure (AMI) network included in a smart grid network. According to an aspect of the present invention, an apparatus and method for managing a power equipment in an AMI network may provide a load control environment enabling a power equipment to declare an opt-out when another power equipment declares an opt-out by providing a list of power equipments included in a load control group in response to a power equipment declaring an opt-out of the load control group so as to process an opt-out of a power equipment selected from the list.

Abstract: Provided are an apparatus and method for asset tracking based on a ubiquitous sensor network (USN) using a motion sensing. The apparatus may include: a motion sensing manager to receive motion sensing information from a sensor; a filtering processor to filter the motion sensing information based on a filtering parameter and to determine whether a motion occurs based on the filtered motion sensing information; and a location information update (LU) manager to perform LU depending on whether the motion occurs.

Abstract: A ZigBee gateway includes: an IP network communication unit supporting communications with an IP network; a ZigBee network communication unit supporting communications with a ZigBee network; and a message processing unit generating a forwarding entry containing a service request ID and a transaction sequence ID corresponding to a service request message, when the service request message is received from the IP network, and performing a forwarding operation between the service request message and a response message transmitted from the ZigBee network in response to the service request message, by referring to the forwarding entry.

Abstract: Provided are an AMI gateway apparatus and method for processing large AMI data and an application profile. The AMI gateway apparatus and method are associated with collecting meter data of smart meters measuring the amount of electricity or the like and transmitting the meter data to an AMI server. Disclosed is a method of reducing an ID type and a method of minimizing meter data to reduce the transmission rate of large AMI data including an ID value and meter data. A method of setting a gateway ID value according to locations and zones is also provided. Those three methods achieve the efficient transmission of large AMI data to an AMI server and is applicable to various gateway apparatuses processing various application profiles such as an HA profile controlling and sensing home appliances, an SE profile providing an AMI service, a TA profile providing mobile services or the like.

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: An apparatus for locating a mobile device includes a receiving unit receiving a trigger profile including predetermined zone information and a triggering rule about the generation of an alarm signal at the moment of entering and exiting of the predetermined zone, a location identifying unit locating a present location, a zone in/out detection unit generating the alarm signal according to the triggering rule based on the trigger profile and the present location located by the location identifying unit when entering the predetermined zone or exiting the predetermined zone, and a transmission unit transmitting the present location information identified by the location identifying unit when the alarm signal is generated.

Abstract: Provided are an apparatus and method for asset tracking based on a ubiquitous sensor network (USN) using a motion sensing. The apparatus may include: a motion sensing manager to receive motion sensing information from a sensor; a filtering processor to filter the motion sensing information based on a filtering parameter and to determine whether a motion occurs based on the filtered motion sensing information; and a location information update (LU) manager to perform LU depending on whether the motion occurs.

Abstract: An apparatus for locating a mobile device includes a receiving unit receiving a trigger profile including predetermined zone information and a triggering rule about the generation of an alarm signal at the moment of entering and exiting of the predetermined zone, a location identifying unit locating a present location, a zone in/out detection unit generating the alarm signal according to the triggering rule based on the trigger profile and the present location located by the location identifying unit when entering the predetermined zone or exiting the predetermined zone, and a transmission unit transmitting the present location information identified by the location identifying unit when the alarm signal is generated.