Seong-Joon Baek

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A new method is proposed to build an autonomous water pollution monitoring map by fish robots using ubiquitous sensor networks with sonar localization. Autonomous fish robots are introduced instead of fixed data logging stations to track pollutant sources as well as monitoring. Autonomous tracking is one of important functions in mobile underwater vehicles(More)
Detection and recognition of obstacles are the most important concerns for fish robots to avoid collision for path planning as well as natural and smooth movements. The more information about obstacle shapes we obtain, the better control of fish robots we can apply. The method employing only simple distance measuring sensors without cameras is proposed. We(More)
We present a sonar localization method using ubiquitous sensor network for autonomous water pollution monitoring fish robots. Autonomous tracking is one of important functions in mobile underwater vehicles which monitor water pollution indices. When fish robots find obstacles on its path, proper direction changes to avoid collision are necessary. Otherwise,(More)
We focus on the performance of the face authentication system under illumination changes. Four different face authentication methods are tried and compared. These methods include PCA (principal component analysis), GMM (Gaussian mixture models), 1D HMM (1 dimensional hidden Markov models), pseudo 2D HMM (pseudo 2 dimensional hidden Markov models).(More)
Micro-Raman spectroscopy (MRS) is used for the first time to our knowledge to investigate brain hippocampus tissue from Alzheimer's disease (AD) infected rats. In situ Raman analysis of tissue sections provides distinct spectra useful for distinguishing AD from normal state. The biochemical changes of brain hippocampus tissue including the deposit of(More)