Abstract: A sensor-based teaching aid assembly includes: a plurality of teaching aid parts having a unique ID, detecting their location and adjacent teaching aid parts through an internal sensor, and transmitting result data to outside; and an information processing terminal displaying an image of an assembly target structure, analyzing the data received from the plurality of teaching aid parts to evaluate a completion degree of the structure assembled by the plurality of teaching aid parts, and displaying the evaluation results.

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: Provided are a method and system for predicting pathways of genes that serve the same biological purpose using gene expression pattern data and protein interaction data. The method of predicting a gene pathway includes: a first step of generating partial pathways from gene expression pattern data by using a pathway extraction algorithm, and matching the partial pathways to express them as a graph; a second step of generating partial pathways from protein interaction data by using a pathway extraction algorithm, and matching the partial pathways to express them as a graph; and a third step of combining a graph made in the first step and a graph made in the second step by using a graph matching algorithm to make a combined graph.

Abstract: An activity monitoring system and method are disclosed to reduce the size of an activity sensor device to reduce its power consumption and smoothly transmit activity and occupancy information from the activity sensor device and an occupancy sensor device to an activity monitoring server to monitor an individual's activity and occupancy information.

Abstract: A system and method for providing healthcare services in a ubiquitous environment are disclosed. In order to synthetically manage healthcare related information as well as provide desired healthcare services using an IPTV, an IPTV data center and an IPTV communication network, the system includes at least one health device, a healthcare set-top mounted on the IPTV, and a healthcare server installed at an IPTV data center. The health device collects personal health data, and transfers the collected data based on a Personal Health Device (PHD) standard. The healthcare set-top analyzes the PHD standard personal health data transferred from the at least one health device, converts the analyzed data into Clinical Document Architecture (CDA) standard data, and transfers the converted CDA standard data through an IPTV communication network. The healthcare server synthetically manages the CDA standard data transferred from the healthcare set-top through the IPTV communication network.

Abstract: A health care system and method using a personal health device (PHD)-based universal health platform in a ubiquitous environment are disclosed. In order to measure health record by a PHD used by a user and automatically provide it so as to be used for various health care services via platforms, the health care system includes a measurement platform for collecting PHD standard personal health data from one or more PHDs, converting the collected data into clinical document architecture (CDA) standard data, and transmitting the converted data to an information collecting platform; and the information collecting platform for generating composite CDA standard data by using the received CDA standard data and providing the generated composite CDA standard data to services.

Abstract: A sensor-based activity recognition system is disclosed. Activity information is received by using various sensors that can detect activities in daily life and analyzed to recognize daily activities of an individual. A required device can be controlled or relevant information is transferred to a management center according to the recognized daily activity to thus quickly cope with various situations.

Abstract: There are provided a hand-held device for detecting activities of daily living, and a system for detecting activities of daily living using the same. The hand-held device comprises a behavior information detector unit detecting physical activity information from user's movements; an article use information detector unit detecting article use information on whether the user uses the article from a sensor module attached to the article; a controller unit generating information on activities of daily living of the user from the physical activity information and the article use information; and a memory unit storing the information on the activities of daily living of the user.

Abstract: There is provided a method and apparatus for sensing a meal activity among the various activities of daily life using pressure sensors. A meal activity sensing apparatus collects sensor data detected through a plurality of pressure sensors installed in a smart meal mat, filters the collected sensor data, measures a pressure variance by using the filtered sensor data, determines whether a meal activity has taken place by comparing the measured pressure variance with a preset threshold value, and transmits meal activity information associated with the meal activity to an information processor communicating with the smart meal mat via radio frequency. Since this provides an advantage of more accurate detection of the meal activity, it can be useful in care services for eldercare facilities and for elderly individuals living alone, and further, in the efficient observance of an individual's daily meal patterns.

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: 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: 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.