Abstract: An apparatus for supporting taking medicine includes a medicine storage unit which has a plurality of medicine storage holes to store therein medicines to be taken by a user, a sensor controller which determines whether the medicine storage holes include medicines therein, and a medicine taking service unit which receives a preset schedule by synchronizing with a personal computer, checks whether a user has taken medicine according to a determination of the sensor controller and informs a user to take a medicine according to the preset schedule. Thus, users who should take various medicines on a regular basis for daily life may observe the medicine taking time.

Abstract: An apparatus of managing quality of sleep includes a weight sensor unit including a plurality of pressure sensors, which detect pressures in response to a presence and a movement of a user; an environment sensor including multiple sensors, which detect an environment surrounding the user in a sleep; and a controller for collecting and analyzing information, detected by the weight sensor unit and the environment sensor unit, and classifying and managing the analyzed information according to quality of sleep. The apparatus provides an optimized sleep environment adequate for a subject by learning various sleep environments, and provides a comfortable and cozy sleep environment to the subject to restore energy and be refreshed, so that the subject can enjoy energetic and effective daytime life.

Abstract: Provided are a method and apparatus for clustering gene expression profiles by using the Gene Ontology (GO). The method includes: selecting one or more GO terms from a GO tree; receiving gene expression data sets; classifying the gene expression data sets into groups according to the GO terms; firstly clustering gene expression data belonging to each of the groups based on a similarity of the gene expression data; and secondly clustering the gene expression data sets by using the result of the first clustering as a seed.

Abstract: A method and apparatus provide geriatric care management service. The apparatus comprises a plurality of sensors, which generate sensor signals for informing daily behavior or health of an aged person, a signal processor, which analyzes the sensor signals to generate daily behavior information, an emergency situation manager, which informs a care giver that an emergency situation occurs and generates emergency situation occurrence information, an abnormal symptom manager, which analyzes the daily behavior information to informs the care giver whether or not the abnormal symptom occurs and generates abnormal symptom occurrence information, and a care information manager, which summarizes the daily behavior information, the emergency situation occurrence information, and the abnormal symptom occurrence information and generates care information.

Abstract: Apparatus and method for refining subject activity classification for the recognition of daily activities of a subject, and a system for recognizing daily activities using the same. The refining apparatus improves the correctness of subject activity classification using daily activities of a subject, activation time information of sensors mounted on objects associated with the daily activities of the subject, and the suitability of a continuous activity pattern in relation to the daily activities. This improves the correctness of subject activity classification that becomes basic information in daily activity analysis.

Abstract: There are provided a method and system for sensing abnormal signs in daily activities, the method comprising, at the system, sensing the daily activities, reading previously stored daily activity information, generating a daily activity sequence based thereon, sensing the abnormal signs from the daily activity sequence by using a preset sequence alignment algorithm, and providing the sensed abnormal signs to a user. As described above, the abnormal signs, which should be checked to provide care services, are sensed via changes in a daily activity pattern and added to a care service system that will be installed in welfare facilities for the aged or a home of a solitary old person, thereby effectively sensing the abnormal signs in daily activities of the aged.

Abstract: There is provided a daily activity recognition system using sensors installed in required positions in a home to recognize daily activities of an old person, the system including: a radio frequency (RF) management unit receiving data measured by a plurality of sensors installed in required positions in a home, recognizing a corresponding sensor transmitting the received data, and converting the received data into a basic activity corresponding to the recognized sensor; a buffer management unit storing the basic activity received from the wireless processing manager in an internal buffer; and a daily activity recognition unit recognizing daily activities of an old person at each point in time previously set, based on the basic activity stored in the buffer. The daily activities of the old person are recognized and stored in a database, thereby providing various services related to the health of the old person.

Abstract: The present invention relates to an apparatus and method for recognizing biological named entity from biological literature based on united medical language system (UMLS). The apparatus and the method receives metathesaurus from the UMLS, constructs a concept name database, a single name database and a category keyterm database, which are language resources to be used recognize a named entity, receives each concept name stored in the concept name database, extracts features of each of the concept names by using data stored in the single name database and the category keyterm database, constructs a rule database by creating rules used to recognize the named entity and filtering the rules by using the extracted features, receives a biological literature, extracts nouns and noun phrases that are candidate named entities, applies the rules stored in the rule database to the nouns and the noun phrases, and recognizes the named entities.

Abstract: Provided is an apparatus and method for predicting gene modules controlled by the same set of transcription factors and performing the same function in a cell, using gene expression data and transcription factor binding information.

Abstract: Provided is an apparatus and method for comparing a protein structure, which can search a protein similar to an inquiry protein in a 3D protein database in real time by describing a feature of a protein structure by using a three-dimensional (3D) relative directional angle (RDA) and a Fourier descriptor. The apparatus includes: a 3D RDA coder configured to code a 3D RDA of a target protein data or an inquiry protein data inputted from the outside; a Fourier transformer configured to obtain Fourier coefficients by Fourier transforming 3D RDA coding values coded by the 3D RDA coder; a comparator configured to compare the obtained Fourier coefficient of the target protein data with the obtained Fourier coefficient of the inquiry protein data; and a data generator configured to output protein data in order from high similarity to low similarity according to the comparison result of the comparator.

Abstract: Provided is a layout method for protein-protein interaction networks based on a seed protein, which is for performing multiple stages of nesting centered on a node having a high degree of physical relationship, and performing multiple stages of extension and force directed placement (FDP) with respect to a final nest graph. The layout method includes the steps of: a) extracting a node list of each sub-graph constituting a protein-protein interaction network, and aligning the node list according to adjacency of nodes; b) selecting a seed protein from the aligned node list according to node priority and nest relationship with another node; c) nesting adjacent nodes centered on the selected seed protein to generate a nested node; and d) selecting an initial position of the generated nested node, placing the nodes of the nested nodes on respective division points, centered on the seed protein, and then performing layout.

Abstract: Provided is an apparatus and method for detecting a ligand through automatic specific site extraction and allow a convenient and speedy protein structure-based drug design by detecting sequences and structures of protein binding sites or detecting structures of protein binding sites, and then automatically extracting a specific site to detect a ligand. The ligand detecting apparatus includes: an input data processing unit for processing input data; a binding site extraction unit for extracting a binding site from the data; a user input unit for allowing a user to select a comparison type; a manual like-binding-site comparison unit for manually comparing a binding site of a target protein with a like binding site of a protein of a database to extract a specific site; an automatic like-binding-site comparison unit; and a ligand detection unit for performing virtual screening on the specific site.

Abstract: Provided is an apparatus and method for comparing structures of proteins by extracting main axes of the proteins using principal components analysis (PCA), dividing regions using grids into voxels for precise structure alignment, and placing the proteins respectively in the regions to calculate a similarity between the proteins by autocorrelation. The apparatus for comparing protein structures using principal components analysis (PCA) and autocorrelation includes: a PCA calculator for receiving a query protein for extracting a main axis of the query protein; a voxel generator for receiving information about the main axis from the PCA calculator and dividing a predetermined region using a grid to determine whether the divided region is occupied by the query protein for generating voxels of the query protein; and a comparison processor for performing an autocorrelation calculation between voxels of one protein and voxels of the other protein that are generated by the voxel generator.

Abstract: Provided are a fall detecting apparatus and method and an emergency aid system and method using the same. The fall detecting apparatus includes a storing unit configured to store fall data vectors; an angular velocity measuring unit configured to measure an angular velocity value; an acceleration measuring unit configured to measure an acceleration value; an acceleration extracting unit configured to extract a kinetic acceleration value and a gravitational acceleration value by filtering the acceleration value measured by the acceleration measuring unit; and a fall determining unit configured to convert the angular velocity value, which is measured by the angular velocity measuring unit, and the kinetic acceleration value and the gravitational acceleration value, which are extracted by the acceleration extracting unit, into a fall data vector, and determine a use's fall by comparing the converted fall data vector with the fall data vector stored in the storing unit.

Abstract: Provided is a method and apparatus for normalizing a protein name using ontology mapping. A method for normalizing a protein name using ontology mapping, which includes the steps of: a) extracting a protein name from an input of a biological article; b) analyzing a protein code corresponding to the protein name by calculating similarities between the protein name and synonyms of a synonym dictionary created through an ontology; c) classifying protein species information included in the biological article using a predetermined species classification learning model; and d) assigning an ontology identification (ID) created by combining the analyzed protein code and the classified protein species information to the protein name.

Abstract: A method for constructing a database having image information representing a plurality of images including the steps of: a) calculating L×5 number of normalized edge histogram bins to generate L number of edge histograms of a target image, wherein each edge histogram has five normalized edge histogram bins and represents a spatial distribution of five reference edges in a sub-image and L is a positive integer, wherein the reference edges include four directional edges and a non-directional edge; b) non-linearly quantizing the L×5 number of normalized edge histogram bins to generate L×5 number of quantization index values for the target image; c) storing the L×5 number of quantization index values to the database; and d) repeating the steps a) to c) until all of the stored images are processed to thereby construct the database having the image information.

Abstract: Provided are an apparatus and method for searching multimedia data based on metadata. The apparatus for searching multimedia data includes: a mapping information storing unit for storing and managing mapping information between a Moving Picture Experts Group 7 (MPEG-7) query attribute and an MPEG-7 metadata property; and a query attribute mapping unit for acquiring the MPEG-7 metadata property to be mapped with the MPEG-7 query attribute according to a user query based on the mapping information.

Abstract: A method for generating a block-based image histogram from data compressed by JPEG, MPEG-1, and MPEG-2, or uncompressed image data employing block-based linear quantization to generate histograms that include color, brightness, and edge components. The edge histogram, in particular, includes the global edge features, semi-global edge features, and local edge features. The global edge histogram is based on image blocks of the entire image space. The local edge histogram is based on a group of edge blocks. The semi-global edge histogram is based on the horizontally and the vertically grouped image blocks. A method for generating block-based image histogram with color information and brightness information of image data in accordance with an embodiment of the present invention extracts feature information of an image in terms of the block and updates global histogram bins on the basis of the feature information.

Abstract: A biological relationship extraction system including a biological named entity substitution unit substituting a biological named entity in a biological document with a predetermined substitution name; a structure analyzing unit parsing the biological named entity in the biological document containing the substituted biological named entity; a relationship analyzing unit analyzing a relationship between biological named entities from the biological literature parsed by the structure analyzing unit and selecting relationship candidates; a relationship determining unit determining whether the relationship candidates delivered from the relationship analyzing unit are biologically meaningful and determining a relationship between biological named entities; and a biological named entity assignment storage unit storing the biological named entity and a substitution name corresponding to the biological named entity and providing a substitution name or a biological named entity.

Abstract: A method for constructing a database having digital video data information representing a plurality of video sequence is disclosed. The method includes the steps of: a) partitioning each image frame of each video sequence into L number of sub images; b) generating L number of edge histograms for each image frame; c) normalizing the edge histogram bins to thereby generate M number of normalized edge histogram bins; d) calculating M representative edge histogram bins in order to generate L number of representative edge histograms based on the normalized edge histogram bins; and e) non-linearly quantizing the representative edge histogram bins to generate M number of quantization index values for the each representative edge histogram, to be stored in the database.