Abstract:
PURPOSE: A method for preparing a query using a materialized view and a dimension layer in a data warehouse is provided to enhance a performance of a data warehouse system by returning the same result as a query created by a user and automatically creating new query capable of being processed more effectively using many materialized views for being processed by replacing the original query. CONSTITUTION: In a preparation method of a query created by a user using new query through a dimension layer and many materialized views existed in a data warehouse at a data warehouse system storing large amount of data, a normalized form is defined with respect to the query and the materialized views using a group grid being induced from the dimension layers(S100). It is checked whether each materialized view is used in the preparation of the query(S110). Materialized views are selected to be used in the preparation of the query(S120). A query block is created with respect to each selected materialized view(S130). New query is created by integrating the created query blocks(S170).
Abstract:
PURPOSE: An integrated debugging method for a client program and a server program is provided to search the client program and the server program at once using a debugger by integrating the client program and the server program as one and performing the client program and the server program in one computer. CONSTITUTION: Information related to a remote function access is extracted, and information regarding a name and a factor of the remote function is stored in a storing device of an integrated program(S10). Source codes of a client program and a server program are revised based on information stored in the storing device, and the remote function access is converted into a local function access(S20). Two source codes are integrated based on the converted result, and an integrated performing file is generated(S30). An error test routine is performed based on the generated performing file(S40).
Abstract:
PURPOSE: A partitioned block encoding method for encoding a video is provided to perform prediction encoding of a block by using a sub block for inter-screen prediction. CONSTITUTION: An inputted screen(i) is partitioned to an encoding unit block(S103). An intra-screen prediction encoding is performed in case a current screen is not inter-screen prediction(S104,S105). A sequence of an encoding unit block is initialized in case the current screen is inter-screen prediction(S106). The encoding unit block is divided into lower blocks(S107). A block mode of lower block modes(k) is selected(S109). Intra and inter prediction encoding is performed in the lower block mode(S111,S112).
Abstract:
본 발명은 스케일러블 비디오 부호화에서 계층간 예측모드 고속 결정방법에 관한 것으로, 각 계층으로 부호화하고자 하는 비디오 프레임을 입력하는 단계와, 상기 입력된 비디오 프레임에 대해 하위 계층의 움직임 부호화를 수행하는 단계와, 상기 하위 계층의 움직임 부호화 결과에 따른 결정 블록을 상위 계층의 움직임 부호화에 대응시키는 단계와, 상기 하위 계층의 움직임 부호화 결과에 따른 결정 블록의 움직임 벡터 정보를 이용하여 상기 상위 계층의 예측 후보 블록모드들을 결정하는 단계와, 상기 결정된 예측 후보 블록모드들에 대해 율-왜곡 비용을 계산한 후, 이를 이용하여 최종 부호화 블록모드를 결정하는 단계와, 입력되는 비디오 프레임의 부호화가 완료될 때까지 상기의 단계들을 반복적으로 적용하여 스케일러블 부호화를 수행하는 단계를 포함함으로써, 스케일러블 비디오 부호화 과정을 고속으로 수행하여 실시간 소프트웨어 스케일러블 비디오 부호화기 구현을 가능하게 할 수 있는 효과가 있다. 스케일러블 비디오, 예측모드 고속 결정, 움직임 예측, 부호화기
Abstract:
A method for determining a directivity prediction mode fast in a screen in coding video is provided to determine an optimum directivity prediction mode only about a directivity prediction candidate mode of the most occurring frequency, thereby improving encoding efficiency. A screen is inputted according to the order(S102). The inputted screen is divided by a macroblock unit(S103). The order of the macroblock to be encoded in one screen is initialized(S104). When a current screen is an intra screen, at least one directivity prediction candidate mode having the most frequently occurring probability is selected to perform prediction in the screen(S108). Rate-distrotion costs are added by the 16x16 macroblock unit(S109). A final directivity prediction mode is determined by comparing the rate-distortion costs through prediction between screens with the rate-distortion costs through prediction in the screen(S110).
Abstract:
A method for measuring class relevance of OWL(Ontology Web Language) ontology and a recording medium storing a program thereof are provided to enable a user to search various kinds of desired information with a keyword, and represent the information not including the keyword to a search result when the information is highly related to the keyword received from the user. A class relevance value is calculated by using a length of the shortest route between classes(S300). Class relevance is calculated by using a connection structure between individuals(S302). The final class relevance value is calculated by using the class relevance value and the class relevance(S304). The class relevance is calculated by using an individual relevance value, which is a value representing a relative information quantity ratio between the individuals, and an individual importance value, which is the value representing importance of the individual in a class.