• 한국지능시스템학회:학술대회논문집
• /
• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
• /
• pp.447-450
• /
• 2003

In this research, we propose an automatic knowledge acquisition and composite knowledge expression mechanism based on machine learning and relational database. Most of traditional approaches to develop a knowledge base and inference engine of expert systems were based on IF-THEN rules, AND-OR graph, Semantic networks, and Frame separately. However, there are some limitations such as automatic knowledge acquisition, complicate knowledge expression, expansibility of knowledge base, speed of inference, and hierarchies among rules. To overcome these limitations, many of researchers tried to develop an automatic knowledge acquisition, composite knowledge expression, and fast inference method. As a result, the adaptability of the expert systems was improved rapidly. Nonetheless, they didn't suggest a hybrid and generalized solution to support the entire process of development of expert systems. Our proposed mechanism has five advantages empirically. First, it could extract the specific domain knowledge from incomplete database based on machine learning algorithm. Second, this mechanism could reduce the number of rules efficiently according to the rule extraction mechanism used in machine learning. Third, our proposed mechanism could expand the knowledge base unlimitedly by using relational database. Fourth, the backward inference engine developed in this study, could manipulate the knowledge base stored in relational database rapidly. Therefore, the speed of inference is faster than traditional text -oriented inference mechanism. Fifth, our composite knowledge expression mechanism could reflect the traditional knowledge expression method such as IF-THEN rules, AND-OR graph, and Relationship matrix simultaneously. To validate the inference ability of our system, a real data set was adopted from a clinical diagnosis classifying the dermatology disease.

• 스마트미디어저널
• /
• 제1권3호
• /
• pp.15-21
• /
• 2012

깊이 정보의 획득은 다양한 3차원 콘텐츠 제작을 위해서 필수적이다. 깊이 획득은 깊이 정보를 어떻게 획득하느냐에 따라서 크게 두 가지 방식(능동적, 수동적 깊이 센서 방식)으로 나뉜다. 본 논문에서는 몇 가지 측면에서 깊이 정보를 획득하는 방법을 살펴보고, 이들 방식을 통해 깊이를 획득하는 방법뿐 아니라, 각 방식의 약점을 보완하기 위해 두 가지 접근 방법을 혼합하여 깊이 정보를 획득하는 방법도 제시한다. 또한 3차원 비디오에서 매 화면마다 독립적으로 깊이 정보를 추정하여 생기는 깜빡거림 현상과 시각적 피로도를 줄이기 위해서 시간적 상관도를 고려하여 정합 에너지 함수를 정의하는 방법과 후처리하는 방법도 제시한다.

• 한국산학기술학회:학술대회논문집
• /
• 한국산학기술학회 2003년도 Proceeding
• /
• pp.99-104
• /
• 2003

In this research, we proposed the mechanism to develop self evolving expert systems (SEES) based on data mining (DM), fuzzy neural networks (FNN), and relational database (RDB)-driven forward/backward inference engine. Most former researchers tried to develop a text-oriented knowledge base (KB) and inference engine (IE). However, thy have some limitations such as 1) automatic rule extraction, 2) manipulation of ambiguousness in knowledge, 3) expandability of knowledge base, and 4) speed of inference. To overcome these limitations, many of researchers had tried to develop an automatic knowledge extraction and refining mechanisms. As a result, the adaptability of the expert systems was improved. Nonetheless, they didn't suggest a hybrid and generalized solution to develop self-evolving expert systems. To this purpose, in this study, we propose an automatic knowledge acquisition and composite inference mechanism based on DM, FNN, and RDB-driven inference. Our proposed mechanism has five advantages empirically. First, it could extract and reduce the specific domain knowledge from incomplete database by using data mining algorithm. Second, our proposed mechanism could manipulate the ambiguousness in knowledge by using fuzzy membership functions. Third, it could construct the relational knowledge base and expand the knowledge base unlimitedly with RDBMS (relational database management systems). Fourth, our proposed hybrid data mining mechanism can reflect both association rule-based logical inference and complicate fuzzy logic. Fifth, RDB-driven forward and backward inference is faster than the traditional text-oriented inference.

• 전력전자학회:학술대회논문집
• /
• 전력전자학회 2016년도 전력전자학술대회 논문집
• /
• pp.371-372
• /
• 2016

In this paper, the encoder of the hybrid type which can use a single position sensor in order to overcome the use of multiple signal lines and the reliability reduction for the location information acquisition caused by using a plurality of position detectors to acquire the position information of the rotor offer. Encoder of the proposed method was the replacement location information generating function by the plurality of sensors to the Capture function of the shape and the microcomputer of the encoder plate. Capture of the DSP function was verified through experiments using the in order to verify the validity of the detection by the proposed method and the hybrid encoder position prototyping, a means.

• Journal of Electrical Engineering and Technology
• /
• 제7권1호
• /
• pp.64-68
• /
• 2012

In this paper, a design method for minimizing the cogging torque of an Interior Permanent Magnet Motor (IPM) is proposed based on a hybrid algorithm. The suggested optimization algorithm is based on a combination of the Response Surface Method (RSM) and Simplex Method. The results show that the proposed method provides improved characteristics compared to the conventional methods, such as a shorter calculation time and the acquisition of a more correct solution.

• 항공우주시스템공학회지
• /
• 제4권3호
• /
• pp.29-33
• /
• 2010

In this study, small hybrid rocket was launched and flight altitude was measured. Flight path of rocket was analyzed with exterior ballistics analysis result. The data acquisition equipment was loaded in rocket and two launch test were performed. HDPE was used as fuel and N20 as oxidizer for this study.

• 한국추진공학회지
• /
• 제14권1호
• /
• pp.40-47
• /
• 2010

본 연구에서는 하이브리드 로켓의 산화제 유량 제어를 통한 추력제어를 위한 기초 연구를 진행하였다. 실험을 위해 하이브리드 로켓 모터와 산화제 유량 조절장치 그리고 데이터 획득을 위한 전체 시스템을 설계, 제작하였다. 산화제 유량 제어를 하기 위해서 니들밸브와 스텝모터를 결합하여 스텝모터의 구동에 의해 니들밸브의 개폐량을 조절할 수 있도록 설계하였고 LabVIEW프로그램을 이용하여 스텝모터를 컨트롤 하였다. 또한 기체산소($GO_2$)와 고체연료(Polyethylene)를 이용한 하이브리드 로켓의 연소실험을 통해 산화제 유량 제어를 통한 하이브리드 로켓의 추력제어 가능성을 확인하였다.

• 한국추진공학회:학술대회논문집
• /
• 한국추진공학회 2008년도 제31회 추계학술대회논문집
• /
• pp.251-254
• /
• 2008

하이브리드 로켓엔진의 연소시험을 수행하기 위해 시험 설비를 제작하고 지상연소시험장을 구축하였다. 연소시험장 설비는 하이브리드 로켓엔진, 추력 시험대, 산화제 저장 및 공급 장치, 제어 장치, 데이터 획득 장치로 구성되었다. 추력 50 kgf 급의 연소 시험을 수행하여 안정적으로 성능 데이터를 획득할 수 있었으며, 연소시험장 설비의 작동 신뢰성을 확인하였다.

• 제어로봇시스템학회논문지
• /
• 제19권7호
• /
• pp.646-652
• /
• 2013

EU's Galileo project is a market-based GNSS (Global Navigation Satellite System) that is under development. It is expected that Galileo will provide the positioning services based on new technologies in 2020s. Because Galileo E1 signal for OS (Open Service) shares the same center frequency with GPS L1 C/A signal, CBOC (Composite Binary Offset Carrier) modulation scheme is used in the E1 signal to guarantee interoperability between two systems. With E1 signal consisting of a data channel and a pilot channel at the same frequency band, there exist several options in designing signal acquisition for Assisted-Galileo receivers. Furthermore, compared to SNR worksheet of Assisted-GPS, some factors should be examined in Assisted-Galileo due to different correlation profile and code length of E1 signal. This paper presents SNR worksheets of Galileo E1 signals in E1-B and E1-C channel. Three implementation losses that are quite different from GPS are mainly analyzed in establishing SNR worksheets. In the worksheet, hybrid long integration of 1.5s is considered to acquire weak signal less than -150dBm. Simulation results show that the final SNR of E1-B signal with -150dBm is 19.4dB and that of E1-C signal is 25.2dB. Comparison of relative computation shows that E1-B channel is more profitable to acquire the strongest signal in weak signal environment. With information from the first satellite signal acquisition, fast acquisition of the weak signal around -155dBm can be performed with E1-C signal in the subsequent satellites.

• 한국차세대컴퓨팅학회논문지
• /
• 제13권5호
• /
• pp.80-92
• /
• 2017

클라우드 컴퓨팅의 대중화로 다양한 유형의 클라우드 서비스가 등장하고 있으며, 퍼블릭 클라우드와 프라이빗 클라우드를 결합하여 이들의 단점을 상쇄시킨 배치 모델인 하이브리드 클라우드가 최근 각광 받고 있다. 하지만 서로 다른 클라우드의 결합에 대한 복잡성 문제와 관련 솔루션 부족에 의해 기업이나 조직의 하이브리드 클라우드 도입과 클라우드 전략 확보가 늦춰지고 있는 실정이다. 이에 본 논문에서는 결합 복잡성 문제 해결을 위한 클라우드 결합기법을 제시한다. 본 논문에서 제시하는 클라우드 결합 기법은 스크립트 기반으로 클라우드 결합을 해결하며, 하이브리드 클라우드 기능을 실현하는 결합 스크립트와 이를 생성, 실행하는 프로세스, 소프트웨어 디자인 패턴을 적용한 스크립트 생성 모델로 구성되어 있다. 제시된 결합 기법을 이용하면 다양한 클라우드 서비스를 결합하여 사용자의 요구에 맞는 스크립트를 빠르게 생성할 수 있으며, 이를 통해 하이브리드 클라우드의 도입과 클라우드 전략 확보를 촉진시킬 수 있을 것으로 기대된다.