Abstract:
A method and a system for daily life act recognition utilizing a sensor for recognizing a daily life act are provided to install the sensor in the furniture and floor in a house, thereby enabling a user to directly know the usage information of an article related to the daily life act. A wireless process management unit receives measured data from a plurality of sensors installed in a necessary location in a house in real time, recognizes a corresponding sensor which transmits the received measured data, and converts the received measured data into an elementary act corresponding to the recognized sensor. A buffer management unit stores the elementary action received from the wireless process management unit in an internal buffer. A daily life act recognition unit recognizes the daily life act of the aged in every time which is previously set up based on the elementary action stored in the internal buffer.
Abstract:
An apparatus and a method for preventing an old person from getting lost are provided to call a guardian to prevent an old person from getting lost when the old person is out of his/her life zone. A life zone setting unit(120) sets up the life zone of a protection target person, and a GPS information receiver(130) receives GPS information to obtain the location and time information of the target person. When the person is out of his/her life zone, a lost prediction unit(140) informs that the person is in a state of getting lost. If the person get lost, a life zone re-entrance inducing unit(150) provides the information for guiding the person to re-enter the life zone and tries to make a call with a guardian terminal(300).
Abstract:
A method and an apparatus of protein name normalization using ontology mapping are provided to recognize accurately the protein written on the literatures by mapping the protein name recognized in the biological literatures into a normalized protein ontology. A literature recognition part(110) extracts a protein name and species data by accepting biological literatures input. An abbreviated word dictionary DB(130) is composed of pairs of an abbreviated protein names and an original protein names. An abbreviated protein name restoration part(120) restores the abbreviated protein name into the original protein name. A synonym dictionary DB(150) is constructed through the ontology. An inverted index structure DB(160) of the synonym dictionary has an inverted index structure of the synonym dictionary. A protein code analysis part(140) analyzes the protein code by calculating similarity of the protein code by comparing the extracted protein name and the inverted index structure DB of the synonym dictionary. An ontology ID allocating part(190) allocates final ontology IDs by protein name based on the protein code and kind.
Abstract:
A method and a system for verifying protein-protein interaction with text mining are provided to avoid a duplicated experiment by utilizing knowledge proved through documents before the estimated protein-protein interaction is experimentally proved and generate a measure for estimating performance of an estimation system by verifying a result of the estimation system. An ontology database(160) stores protein-protein interaction and hierarchical structure information among proteins. A text mining part(120) extracts the protein-protein interaction from protein-related documents by using a text mining method. An ontology mapper(130) maps the extracted protein-protein interaction to an ontology ID by using the ontology database. An information filter(140) filters the information having high weight based on a frequency of the information and an effect factor of the protein-related documents among the mapped protein-protein interaction information. An information indexer indexes protein-related document/sentence, ontology ID, protein-protein interaction, and precision information.
Abstract:
본 발명은 길 잃음 방지 장치 및 방법에 관한 것으로, 보호 대상자의 생활권을 설정하는 생활권 설정부; GPS 정보를 수신하여, 상기 보호 대상자의 위치 및 시간 정보를 획득하는 GPS 정보 수신부; 상기 보호 대상자의 위치가 상기 생활권을 이탈하면, 상기 보호 대상자가 길 잃음 상태임을 통보하는 길 잃음 예측부; 및 상기 보호 대상자가 길 잃음 상태이면, 상기 보호 대상자가 상기 생활권에 재진입할 수 있도록 유도하는 정보를 제공한 후 보호자 단말과의 전화 연결을 수행하는 생활권 재진입 유도부를 포함하여 구성되며, 이에 의하여 노인의 생활에 제한을 가하지 않으면서도 보다 적극적으로 노인의 길 잃음을 방지할 수 있도록 한다. 노인, 길 잃음, GPS 정보, 전화 연결
Abstract:
A method and an apparatus for providing service to inquire after the health condition of an old person are provided to collect the daily life information of an old person and supply the information to a guardian or a public organization so that the guardian or the organization may know the time that the old person needs assistance. Plural sensors(111,112,11n) generates and transmits a sensing signal for informing the daily life or health state of an old person, and a signal processor analyzes the sensing signal and generates daily life information of the old person. An emergency processor(124) informs a guardian or a public organization of the emergency situation of the old person and generates emergency situation alarming information if the daily life information is related to emergency situation. An abnormal signal processor(125) analyzes the daily life information for an abnormal sensing interval to generates abnormal situation alarming information. A health condition inquiry processor(126) generates inquiry information and provides a monitoring sever(330) with the inquiry information.
Abstract:
본 발명은 단백질 이름 정규화 방법에 관한 것으로, 보다 상세하게는 온톨로지 매핑을 이용한 단백질 이름 정규화 방법 및 장치에 관한 것이다. 본 발명은 생물학 문헌을 입력받아 단백질 개체명을 추출하는 단계; 상기 추출된 단백질 개체명과 온톨로지를 통해서 구축된 동의어 사전과의 유사도를 계산하여 단백질 코드를 분석하는 단계; 소정 종분류 학습모델을 이용하여 상기 생물학 문헌에 포함된 단백질의 종 정보를 분류하는 단계; 및 상기 분석된 단백질 코드 및 상기 분류된 종 정보를 통합하여 온톨로지 ID를 할당하는 단계를 포함하는 온톨로지 매핑을 이용한 단백질 이름 정규화 방법을 개시한다. 단백질 이름 정규화, 온톨로지, 생물학 문헌
Abstract:
A method for reporting new documents relevant to a user profile based on a protein-protein interaction network is provided to prevent excessive information and obtain new information quickly by enabling a user to make the profile based on the protein-protein interaction network, monitoring the new document in an Internet database, and reporting the new document relevant to the user profile in an email. A user makes a user profile by using a protein-protein interaction network and inputting a keyword, an issuance year, an author, an institute, and a journal name to filter documents. A profile processor generates a query by converting a protein ID expressed in the protein-protein interaction network into a protein name and adding the additional filtering information, requests search to a document database, and transfers the query to a document processor when the new document is found in the document database. The document processor extracts protein-protein interaction, checks whether the protein included in the protein-protein interaction network is relevant to the protein ID, makes a summary by highlighting a document number and a part commenting the protein-protein interaction in the document, and reports the summary to the user by using an email.
Abstract:
본 발명은 유엠엘에스(UMLS : United Medical Language System)를 기반으로 생물학 문헌으로부터 생물학적 개체명을 인식하는 장치 및 그 방법에 관한 것이다. 본 발명의 장치 및 방법은 유엠엘에스에서 메타시소러스를 제공받아 개체명 인식에 사용될 언어자원인 개념어, 단일어 및 범주키텀 데이터베이스를 각각 구축하고, 상기 개념어 데이터베이스에 저장된 각 개념어를 입력받아 상기 단일어 및 범주키텀 데이터베이스에 저장된 자료를 이용하여 각 개념어에 대한 자질을 추출하며, 상기 추출된 결과를 이용하여 개체명을 인식하기 위한 규칙 생성 및 규칙 필터링 과정을 거쳐 규칙 데이터베이스를 구축하며, 생물학 문서를 입력받아 개체명 후보가 되는 명사 및 명사구를 추출하여 상기 규칙 데이터베이스에 저장된 규칙을 상기 명사 및 명사구에 적용하여 개체명 인식을 수행한다. 이렇게 함으로써, 입력문서에서 중요 정보 개체로 활용될 수 있는 생물학적 개체명들을 효과적으로 추출할 수 있다.