Abstract:
본 발명은 무선 USB 네트워크에서 N 스크린 서비스 제공을 위한 멀티미디어 스트리밍 방법 에 관한 것으로서, 구체적으로는, N 스크린 서비스 제공을 위해 무선 USB 환경에서 1:N 멀티미디어 스트리밍을 지원하기 위한 새로운 자원 할당 방법에 관한 것이다. 무선 USB 호스트가 채널 정보를 포함하는 관리 패킷(MMC)을 브로드 캐스팅함으로써 무선 USB 디바이스가 데이터 패킷을 수신하기 위해 대기해야 하는 채널 타임을 할당하는 단계, 무선 USB 디바이스가 데이터 패킷을 전송할 수 있는 채널 타임을 할당하는 단계, 무선 USB 디바이스들에게 데이터 패킷을 브로드캐스팅할 수 있는 채널 타임을 할당하는 단계를 포함한다.
Abstract:
PURPOSE: A hierarchical routing method for supporting the movement of a synchronization node in a wireless sensor network is provided to allow a routing path to avoid an inefficient path by enabling a mobile synchronization node to transmit a message for updating a routing table. CONSTITUTION: The existence of a single node is determined(S240). When there is a single node, the continuity of a cluster head is determined(S245). When the cluster head was selected with third time in succession, a routing path is updated(S250). A near node is registered in an NNT(Neighbor Node Table)(S255). A node which is far from the NNT is eliminated(S260). [Reference numerals] (AA) Start; (BB) Early NNT setting step; (CC,FF,HH) No; (DD,GG,II) Yes; (JJ) End; (S210) Searching neighboring nodes; (S215) Does an identical ID exists in the NNT?; (S220) Setting a D type; (S225) Setting an N type; (S230) Setting 1 for 4 near nodes and 0 for a far node; (S235) Registering in the NNT; (S240) Is there a node with the N type and 1?; (S245) Is a cluster head continuously selected three times?; (S250) Updating a routing path; (S255) Setting 0 for the near nodes, and registering in the NNT; (S260) Removing the far node from the NNT
Abstract:
PURPOSE: A red tide generation predicting method which uses a naive Bayes classifier and a fuzzy inference are provided to increase the accuracy of prediction rate of a red tide by using a naive Bayes classifier. CONSTITUTION: A marine environment data is normalized as learning data which is suitable for a fuzzy inference. A fuzzy reasoning rule is generated by using learning material(230). A red tide plankton density is predicted for input data. A red tide generation is predicted by estimating probability value based on a naive Bayes method(300). The red tide plankton density is controlled based on the prediction result.
Abstract:
A method of designing an indoor wireless sensor network using augmented reality The method comprises the steps of: acquiring environment data including at least one among a temperature, humidity, brightness, and an inclination using a sensor terminal in a wireless sensor network; storing the environment data in a table of a database; correcting a location of the sensor terminal using a terrestrial magnetism sensor and an acceleration sensor that are attached to the sensor terminal; matching the stored environment data to the corrected location of the sensor terminal and augmented reality; and displaying the environment data matched to the augmented reality. According to the present invention, data collected through sensor nodes is delivered to a user using a sensor network and augmented reality. Thus, the data delivery can be more convenient compared with a conventional technology that should always use a PC and requires an exact location of a sensor. Moreover, the use can acquire more correct and intuitive data since the data about the real environment is provided in real time through convergence of the reality and virtual reality. [Reference numerals] (AA) Y axis; (BB) 4F-Ward; (CC) Professor; (DD) Patient room; (EE) Production room; (FF) X axis; (GG) Sensor
Abstract:
PURPOSE: An adaptable relay communication method for an UWB(Ultra-WideBand) link is provided to improve QoS(Quality of Service) and reception rates by reserving relay resources according to a QoS standard. CONSTITUTION: When a MAS(Medium Access Slot) is able to reserve S-R and MAS R-T, a reservation host node transmits a relay acceptance reservation code for the MAS R-T to a reservation target node, a relay request reservation reason code to a relay node, and a relay notification reservation reason code to the reservation target node. When the relay acceptance reservation code is received from the relay node and the reservation target node, the reservation host node transmits data through the relay node.
Abstract:
PURPOSE: A query processing system for supporting variable packet transmission in a wireless sensor network is provided to minimize energy consumption in a sensor node by controlling packets of a transmission message according to an attribute of the packets. CONSTITUTION: A sensor node(300) receives a query message from a base node. The sensor node collects environment data according to a query received in the query message. The sensor node generates a response message including the environment data. The sensor node generates the response message by changing a payload size of the response message packet according to attribute information included in the query message. The sensor node transmits the generated response message to the base node. [Reference numerals] (100) Host PC; (200) Base node; (300) Sensor node; (AA) Transmitting a query written in a Tiny DB to the base node; (BB) Transmitting the query to a corresponding node; (C1) Writing Query, and using API; (C2) Transmitting attributes to assigned nodes by selecting identification Group ID and Node ID; (C3) Writing the query to be convenient and comprehensible for a user using a Tiny DB application program; (C4) Possibly confirming by plotting a graph of data using the API; (DD,GG) Transmitting the query; (EE,HH) Transmitting the data; (F1) Transmitting the Query, and collecting data from each node; (F2) Transmitting the written query to corresponding nodes; (F3) Collecting transmitted data, and transmitting to a PC; (I1) Acquiring the Query, and transmitting the data; (I2) Installing an application to be used; (I3) Receiving the query through the base node; (I4) Acquiring the data of the attribute which is received by query; (I5) Transmitting data acquired from the real world to a BS node; (JJ) Transmitting the data to the PC; (KK) Transmitting the data to the base node according to a variable message format
Abstract:
PURPOSE: A red tidal occurrence prediction method is provided to predict red tidal by using a fuzzy estimation method and water temperature, temperature, and precipitation information. CONSTITUTION: A group including similar characteristics is estimated from a data group(210). A fuzzy membership is calculated by using a fuzzy membership function for the group(220). A fuzzy rule is created for input data by referring to the fuzzy membership(230). Clustering uses a method of Chiu for estimating a cluster and is used for estimating a potential center. The fuzzy rule is created by using a fuzzy estimation model. [Reference numerals] (100) Pre-processing; (200) Fuzzy estimation; (210) Grouping; (220) Calculating fuzzy membership; (230) Creating fuzzy rule; (AA) Learning material; (BB) Input material; (CC) Predicting occurrence of red tide