• International Journal of Aeronautical and Space Sciences
• /
• 제7권1호
• /
• pp.129-136
• /
• 2006

A new guidance synthesis for anti-ship missiles to control impact angle and impact time is proposed in this paper. The flight vehicle is assumed as a 1st order lag system to consider more practical system. The proposed guidance synthesis enhances the survivability of anti-ship missiles because multiple anti-ship missiles with the proposed synthesis can hit the target simultaneously. The control input to satisfy constraints of zero miss distance and impact angle, and the feedforward bias control input to control impact time constitute the guidance law. The former is from trajectory shaping guidance, the latter is from neural network. And particle swarm optimization method is introduced to furnish reference input and output for learning in neural network. The performance of the proposed synthesis in the accuracy of impact time and angle is validated by numerical examples.

• 대한안전경영과학회지
• /
• 제3권4호
• /
• pp.145-154
• /
• 2001

This paper deals with a network model for the efficient transportation of post and consists of the formulation based on the network model and the LINGO programming model including the operations of the post transportation. This network model is represented by using Time Space Network. The generalized formulation is built up with the input variables and the decision variables, which are defined on the basis of the network model. And LINGO programming model to be proposed with DB and LINGO is constructed in consideration of how to manage the post transportation and the intermodal transport. The results of the model implementation were represented on Time Space Network and they are analyzed and verified. The LINGO programming model is used as the module to be set in application software. Specifically with using GEOmania, GIS tool, the LINGO Model is applied to develop the application for Mail Transportation Decision Support System.

• 제어로봇시스템학회논문지
• /
• 제14권8호
• /
• pp.779-784
• /
• 2008

This paper presents Kalman filter based system modeling algorithm for autonomous robot systems. State of the robot system is measured using embedded sensor systems and then carried to a host computer via ubiquitous sensor network (USN). We settle a linear state-space motion equation for unknown robot system dynamics and modify a popular Kalman filter algorithm in deriving suitable parameter estimation mechanism. To represent time-delay nature due to network media in system modeling, we construct an augmented state-space model which is mainly composed of original state and estimated parameter vectors. We conduct real-time experiment to test our proposed estimation algorithm where speed state of the constructed robot is used as system observation.

• 대한전자공학회논문지SP
• /
• 제42권3호
• /
• pp.121-128
• /
• 2005

음성신호를 대상으로 하는 연구 분야에서 신경회로망은 주로 음성인식 등의 카테고리 분류의 목적으로 사용되며 신호처리의 응용에도 유망하다. 따라서 본 논문에서는 신경회로망에 시간구조를 취한 시간지연 신경회로망을 이용하여 잡음이 중첩된 음성신호의 공간으로부터 잡음이 없는 음성신호의 공간으로 사상을 실행함으로써 잡음을 제거하는 것을 목적으로 한다. 본 논문은 푸리에 변환의 진폭성분을 복원하는 잡음제거의 알고리즘을 사용하여 백색잡음 및 유색잡음에 대해서 본 수법의 유효성을 확인한다.

• 천문학회보
• /
• 제36권2호
• /
• pp.60.2-60.2
• /
• 2011

We introduce the preliminary results of flux monitoring of BL Lac object 0716+714 with the KVN Ulsan 21m radio telescope. This radio source is well known as the intraday variable (IDV) source which is characterized by the rapid flux variation on the time scale of a day or less. In general, the IDV phenomenon is interpreted as the effect of refractive scintillation in the interstellar medium or the evidence of intrinsic flux variation. In previous observations that took a few days, however, it had not been detected the flux variation of short time scale but the monotonic increase and decrease. Therefore, to investigate the longer time scale of 0716+714, we had the flux variation monitoring at 22GHz and 43GHz simultaneously for 9 months from October 2010 to June 2011. We present here the structure functions and the cross correlation functions between different frequencies as well as the light curves.

• 한국전기전자재료학회:학술대회논문집
• /
• 한국전기전자재료학회 2007년도 추계학술대회 논문집
• /
• pp.506-507
• /
• 2007

Lateral Information Propagation Neural Networks (LIPN) is proposed for on-line interpolation. The proposed neural network technique is the real time computation method through the inter-node diffusion. In the network, a node corresponds to a state in the quantized input space. Through several simulation experiments, real time reconstruction of the nonlinear image information is processed.

• 한국정밀공학회지
• /
• 제12권6호
• /
• pp.120-127
• /
• 1995

A nonlinear empirical state-space model of the Artificial Neural Network(ANN) has been developed. The nonlinear model structure incorporates characteristic, so as to enable identification of the transient response, as well as the steady-state response of a dynamic system. A hybrid feedfoward/feedback neural network, namely a Local Time Delayed Recurrent Multi-layer Perception(RMLP), is the model structure developed in this paper. RMLP is used to identify nonlinear dynamic system in an input/output sense. The feedfoward protion of the network architecture provides with the well-known curve fitting factor, while local recurrent and cross-talk connections provides the dynamics of the system. A dynamic learning algorithm is used to train the proposed network in a supervised manner. The derived dynamic learning algorithm exhibit a computationally desirable characteristic; both network sweep involved in the algorithm are performed forward, enhancing its parallel implementation. RMLP state-space and its associate learning algorithm is demonstrated through a simple examples. The simulation results are very encouraging.

• 대한공간정보학회지
• /
• 제12권2호
• /
• pp.73-77
• /
• 2004

대도시의 도심 정체나 대중교통 장려책과 같은 요소로 인해 대중교통에 대한 관심과 이용도가 증가하고 있다. 그러나 노선의 설계나 배분에 관한 연구가 미흡하고 적절한 정량적인 방법론이 구축되어 있지 않기 때문에 설계, 운영에 어려움을 겪고 있다. 노선의 공급과잉이나 공급부족으로 인해 접근성이 지역간에 편중되어 나타나며, 도시 각 구역의 정류장은 다른 지역으로 이동하는 시간과 비용, 심적 부담에 있어 큰 편차를 보이고 있다. 한편, Space Syntax 이론은 도시공간이나 건축공간의 접근성을 공간의 기하학적인 연결구조에 기반하여 정량적으로 산출하는데 사용되는 이론이다. 본 연구는 Space Syntax 이론을 대중교통 문제에 효과적으로 적용하기 위해 알고리즘을 수정하였으며, GIS를 이용하여 간략한 가상의 네트워크를 구축한 후 이를 적용하는 과정을 예시하였다.

• 제어로봇시스템학회논문지
• /
• 제6권12호
• /
• pp.1113-1119
• /
• 2000

To operate a process plant safely and economically, process monitoring is very important. Process monitoring is the task to identify the state of the system from sensor data. Process monitoring includes data acquisition, regulatory control, data reconciliation, fault detection, etc. This research focuses on the data recon-ciliation using scale-space filtering and fault detection using functional-link associative neural networks. Scale-space filtering is a multi-resolution signal analysis method. Scale-space filtering can extract highest frequency factors(noise) effectively. But scale-space filtering has too large calculation costs and end effect problems. This research reduces the calculation cost of scale-space filtering by applying the minimum limit to the gaussian kernel. And the end-effect that occurs at the end of the signal of the scale-space filtering is overcome by using extrapolation related with the clustering change detection method. Nonlinear principal component analysis methods using neural network have been reviewed and the separately expanded functional-link associative neural network is proposed for chemical process monitoring. The separately expanded functional-link associative neural network has better learning capabilities, generalization abilities and short learning time than the exiting-neural networks. Separately expanded functional-link associative neural network can express a statistical model similar to real process by expanding the input data separately. Combining the proposed methods-modified scale-space filtering and fault detection method using the separately expanded functional-link associative neural network-a process monitoring system is proposed in this research. the usefulness of the proposed method is proven by its application a boiler water supply unit.

• 항공우주산업기술동향
• /
• 제6권1호
• /
• pp.116-123
• /
• 2008

발사임무와 관련한 각종 통제장비 및 추적장비들은 정해진 시간에 따른 기능 수행과 장비간 연동 데이터의 시간 동기화를 위하여 정확한 시간을 필요로 한다.표준시각 동기화를 위한 다양한 표준들이 있으며, 정확도와 구축비용 등을 고려하여 적합한 표준을 채택하여 사용할 수 있다. 또한 각 장비에서 수신한 표준시각을 유지하기 위하여 사용되는 오실레이터는 특성에 따라 다양한 종류가 있으며 요구되는 시간 정확도 및 성능에 따라서 사용되는 제품이 달라 질 수 있다. 본 논문에서는 각종 오실레이터의 특성과 표준시각 동기화에 일반적으로 사용되는 표준에 대해서 살펴보고 또한 현재 나로우주센터에 구축되어 있는 표준시각분배망에 대해서도 간략히 소개한다.