http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Application of Kalman Filter to Cricket based Indoor localization system
Cong-Yi Zhang(장총위),Sung-Ho Kim(김성호) 한국지능시스템학회 2008 한국지능시스템학회 학술발표 논문집 Vol.18 No.1
Kalman Filter is an efficient recursive filter that estimates the state of a dynamic system from a series of incomplete and noisy measurement. The filter is very powerful in the field of autonomous and assisted navigation. In this paper, we carry out comparative stduy to validate the performance of the application of Kalman Filter. We will build personal localization system based on Cricket mote, our system can present the real-time position of person when the man with PDA moves around. The proposed system is composed of cricket sensor networks, PDA and host computer. There is one listener attached to the PDA. The PDA will get the distance data from the listener synchronously. It will calculate the position of the person in the coordinate of the Cricket system with the trilateration method. Furthermore, it sends the real-time position information to the host computer by Bluetooth. The host computer will use Kalman Filter to process data and get the final estimated track of the person.
Cong yi Zhang(장총위),Sui-jin Kim(김수진),Sung-Ho Kim(김성호) 한국지능시스템학회 2009 한국지능시스템학회 학술발표 논문집 Vol.19 No.1
In this paper, a fault diagnosis system for rotating machine using wavelet packet transform (WPT) and artificial neural network (ANN) is described. In most fault diagnosis for rotating machines, WPT is a well-known signal processing technique for previous work used for speech recognition. In previous work, WPT can improve the continuous wavelet transform (CWT) used over a longer computing time and huge operand. It can also solve the frequency-band disagreement by discrete wavelet transform (DWT) only breaking up the approximation version. In the experimental work, the wavelets are used as mother wavelets to build and perform the proposed WPT technique. In the classification, an Elman neural network is utilized.
A New Auto-Localization Scheme in Sensor Networks
김성호,장총위,Kim, Sung-Ho,Zhang, Cong Yi Institute of Control 2008 제어·로봇·시스템학회 논문지 Vol.14 No.9
Many sensor network applications require that each node's sensor data stream be annotated with its physical location in some coordinate system. Equipping GPS on every sensor node is often expensive and does not work in indoor deployments. Recently, cricket-based localization system is often used for indoor localization system. It is very important to know the exact position of beacons in cricket-based localization system for identifying moving sensor node's position. In this paper, a new method, Mobile Listener Detect Algorithm (MLD) which can automatically calculate the unknown newly installed beacons is proposed. For the verification of the feasibility of the proposed scheme, we have conducted several experiments.
A New Auto-Localization Scheme in Sensor Networks
Sung-Ho Kim(김성호),Cong yi Zhang(장총위) 제어로봇시스템학회 2008 제어·로봇·시스템학회 논문지 Vol.14 No.9
Many sensor network applications require that each node’s sensor data stream be annotated with its physical location in some coordinate system. Equipping GPS on every sensor node is often expensive and does not work in indoor deployments. Recently, cricket-based localization system is often used for indoor localization system. It is very important to know the exact position of beacons in cricket-based localization system for identifying moving sensor node’s position. In this paper, a new method, Mobile Listener Detect Algorithm (MLD) which can automatically calculate the unknown newly installed beacons is proposed. For the verification of the feasibility of the proposed scheme, we have conducted several experiments.