Abstract: An anode active material composition for a lithium secondary battery includes a carbon-based anode active material and a silicon-based anode active material, wherein the carbon-based anode active material has an orientation (I004/I110, here, I004 is a peak intensity of the (004) plane when measuring X-ray diffraction (XRD) of the carbon-based anode active material, and I110 is a peak intensity of the (110) plane when measuring XRD of the carbon-based anode active material) of 2.85 or less measured by XRD.

Abstract: An output distribution method of a power supply system includes: if a required output power of a power supply system exceeds a reference value, assigning the required output power equally to all PCSs; if the required output power does not exceed the reference value, assigning at least one maximum power driving PCS to be operated with a maximum driving ratio power, on the basis of a maximum driving ratio and a lowest driving ratio; if a remaining power unassigned during power assignment of the maximum power driving PCS exceeds a lowest driving ratio power, assigning a remaining power driving PCS for operation of the remaining power; and if the remaining power unassigned during the power assignment of the maximum power driving PCS does not exceed the lowest driving ratio power, equally dividing and reassigning the required output power to the maximum power driving PCS.

Abstract: Provided is an apparatus and method for encoding/decoding a moving picture based on adaptive scanning. The moving picture apparatus and method can increase a compression rate based on adaptive scanning by performing intra prediction onto blocks of a predetermined size, and scanning coefficients acquired from Discrete Cosine Transform (DCT) of a residue signal and quantization differently according to the intra prediction mode. The moving picture encoding apparatus includes: a mode selector for selecting and outputting a prediction mode; a predictor for predicting pixel values of pixels to be encoded of an input video based on the prediction mode to thereby output a residue signal block; a transform/quantization unit for performing DCT onto the residue signal block and quantizing the transformed residue signal block; and an encoder for adaptively scanning and encoding the quantized residue signal block based on the prediction mode.

Abstract: The present invention relates to a method and device for distributing idle UE by a carrier in eNB of a multi-carrier based mobile communication system. The method of distributing idle UE in a multi-carrier based mobile communication system according to the present invention includes a process of determining a search rate by a carrier on the basis of information representing load on the carrier, a step of determining a cell reselection priority on the idle UE on the basis of the determined search rate, and a process of transmitting the determined cell reselection priority to the idle UE.

Abstract: An output distribution method of a power supply system includes: if a required output power of a power supply system exceeds a reference value, assigning the required output power equally to all PCSs; if the required output power does not exceed the reference value, assigning at least one maximum power driving PCS to be operated with a maximum driving ratio power, on the basis of a maximum driving ratio and a lowest driving ratio; if a remaining power unassigned during power assignment of the maximum power driving PCS exceeds a lowest driving ratio power, assigning a remaining power driving PCS for operation of the remaining power; and if the remaining power unassigned during the power assignment of the maximum power driving PCS does not exceed the lowest driving ratio power, equally dividing and reassigning the required output power to the maximum power driving PCS.

Abstract: Provided is a system of retrieving a document. The system includes a DB storing a document, a document feature writing unit, a query input unit, a keyword extraction unit, a weighting unit, a document retrieving unit, and an output unit. The document feature writing unit extracts attribute information of the document stored in the document DB and writes an index for the document based on the attribute information. The query input unit receives a query input by a user. The keyword extraction unit extracts a keyword from the query. The weighting unit assigns a weight to the extracted keyword using the index. The document retrieving unit retrieves a similar document using the keyword with the assigned weight. The output unit displays the similar document retrieved by the document retrieving unit to a user.

Abstract: Provided are a document management system and method. The document management system including a database storing documents and a document classification unit for automatically classifying the documents stored in the database, wherein the document classification unit comprises a feature extraction module extracting features based on a keyword included in the documents and vectorizing the extracted features, a similarity judgment module judging similarity among the documents using vectors formed by the feature extraction module, and a classification system module classifying the documents stored in the database according to a preset classification system, the document classification unit performing document classification according to the classification system with respect to documents provided to the database.

Abstract: A document analysis system includes a database that stores documents, a document evaluation module that evaluates the documents by using features of the documents, and a user interface (UI) output unit that provides an evaluation result of the documents, which is produced by the document evaluation module, upon call of the documents.

Abstract: Provided are a system and method of clustering documents. The system includes a document DB, a document feature writing unit storing documents, a document retrieving unit, a clustering unit, and a cluster DB. The document DB stores documents. The document feature writing unit extracts attribute information of documents stored in the document database, and writes indexes with respect to the respective documents on the basis of the attribute information. The document retrieving unit retrieves documents including a query input by a user, using the indexes. The clustering unit includes a representative vector calculator calculating feature vectors and a representative vector of the retrieved documents, and a similarity calculator calculating similarities between the documents using the feature vectors and the representative vector. The cluster database stores documents clustered by the clustering unit.

Abstract: Provided are a system and method of clustering documents. The system includes a document DB, a document feature writing unit storing documents, a document retrieving unit, a clustering unit, and a cluster DB. The document DB stores documents. The document feature writing unit extracts attribute information of documents stored in the document database, and writes indexes with respect to the respective documents on the basis of the attribute information. The document retrieving unit retrieves documents including a query input by a user, using the indexes. The clustering unit includes a representative vector calculator calculating feature vectors and a representative vector of the retrieved documents, and a similarity calculator calculating similarities between the documents using the feature vectors and the representative vector. The cluster database stores documents clustered by the clustering unit.

Abstract: Provided are a document management system and method. The document management system including a database storing documents and a document classification unit for automatically classifying the documents stored in the database, wherein the document classification unit comprises a feature extraction module extracting features based on a keyword included in the documents and vectorizing the extracted features, a similarity judgment module judging similarity among the documents using vectors formed by the feature extraction module, and a classification system module classifying the documents stored in the database according to a preset classification system, the document classification unit performing document classification according to the classification system with respect to documents provided to the database.

Abstract: Provided is a system of retrieving a document. The system includes a DB storing a document, a document feature writing unit, a query input unit, a keyword extraction unit, a weighting unit, a document retrieving unit, and an output unit. The document feature writing unit extracts attribute information of the document stored in the document DB and writes an index for the document based on the attribute information. The query input unit receives a query input by a user. The keyword extraction unit extracts a keyword from the query. The weighting unit assigns a weight to the extracted keyword using the index. The document retrieving unit retrieves a similar document using the keyword with the assigned weight. The output unit displays the similar document retrieved by the document retrieving unit to a user.