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  1. No Access

    Article

    The effect of swirling flow in the mixing chamber of atomizer and the length/diameter ratio of atomizer exit on the distribution of coal particles in CWM spray

    This research is aimed to investigate how the swirling phenomena in an atomizer and the ratio of length/diameter of the atomizer exit affect the size distribution of coal particle in spray. CWM slurries are in...

    Myong Ho Park, Seung Hyeong Park, Beom Geon Lee, Hyung Suk Kang in KSME Journal (1994)

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    Article

    Growth mechanism of monodispersed TiO2 fine particles by the hydrolysis of Ti(OC2H5)4

    In order to investigate the growth mechanism of TiO2, the monodispersed TiO2 fine particles were prepared by hydrolysis of Ti(OC2H5)4 using the seed preparation method. Although it was impossible to grow TiO2 par...

    Hee Taik Kim, Hyeon Park, Seong Youl Bae in Korean Journal of Chemical Engineering (1995)

  3. No Access

    Chapter and Conference Paper

    Adaptive SEJONG-NET for on-line Hangul recognition

    In this paper, a revised SEJONG-NET with adaptability for recognizing transformed on-line Hangul pattern is proposed. It is based on the structural characteristics of Hangul and the hypotheses on the processes...

    Hyeyoung Park, Kwanyong Lee, Hyeran Byun in PRICAI'96: Topics in Artificial Intelligen… (1996)

  4. Chapter

    Information systems for eco-effective manufacturing

    Integration of environmental aspects on manufacturing has been considered. Design for environment based on life cycle thinking is one of the approaches. To transfer adequate scientific environmental informatio...

    Beom Seok Kim, Kyung Hye Park, Byung Chun Kim in Intelligent Systems for Manufacturing (1998)

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    Chapter and Conference Paper

    An Efficient Learning Algorithm Using Natural Gradient and Second Order Information of Error Surface

    Natural gradient learning algorithm, which originated from information geometry, is known to provide a good solution for the problem of slow learning speed of gradient descent learning methods. Whereas the nat...

    Hyeyoung Park, Kenji Fukumizu in PRICAI 2000 Topics in Artificial Intellige… (2000)

  6. No Access

    Article

    Optimal conditions for the production of exopolysaccharide by marine microorganismHahella chejuensis

    A marine microorganism, strain 96CJ10356 produced exopolysaccharide, designated as EPS-R. To optimize culture conditions for the production of EPS-R, carbon and nitrogen sources, mineral salts, temperature, an...

    Sung-Hwan Ko, Hyun Sang Lee, Shin Hye Park in Biotechnology and Bioprocess Engineering (2000)

  7. No Access

    Article

    Demulsification of oil-in-water emulsions by aerial spores of a Streptomyces sp.

    Of a number of actinomycetes isolated from Antarctica and coastal regions of Korea, one isolate, identified as a Streptomycessp., demulsified an emulsion of kerosene/0.2% Triton X-100 (2:1, v/v) within 1 min. The...

    Shin Hye Park, Jung-Hyun Lee, Sung-Hwan Ko, Deuk-Soo Lee in Biotechnology Letters (2000)

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    Article

    Chemotherapeutic drug, adriamycin, restores the function of p53 protein in hepatitis B virus X (HBx) protein-expressing liver cells

    Hepatitis B virus X (HBx) protein implicated in the development of liver cancer may inhibit the function of p53 tumor suppressor protein through cytoplasmic retention of p53 protein. Here, we attempt to invest...

    Chawon Yun, Jae-Ho Lee, Hyelee Park, Yoon-Mi **, Sun Park, Kyoungsook Park in Oncogene (2000)

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    Chapter and Conference Paper

    Generalization Error and Training Error at Singularities of Multilayer Perceptrons

    The neuromanifold or the parameter space of multila yer perceptrons includes complex singularities at which the Fisher information matrix degenerates. The parameters are unidentifiable at singularities, and th...

    Shun-ichi Amari, Tomoko Ozeki, Hyeyoung Park in Connectionist Models of Neurons, Learning … (2001)

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    Chapter and Conference Paper

    Practical Consideration on Generalization Property of Natural Gradient Learning

    Natural gradient learning is known to resolve the plateau problem, which is the main cause of slow learning speed of neural networks. The adaptive natural gradien tlearning, which is an adaptive method of real...

    Hyeyoung Park in Connectionist Models of Neurons, Learning … (2001)

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    Article

    Robust control of robot manipulator with actuators

    A Robust controller is designed for cascaded nonlinear uncertain systems that can be decomposed into two subsystems; that is, a series connection of two nonlinear subsystems, such as a robot manipulator with a...

    Jongguk Yim, Jong Hyeon Park in KSME International Journal (2001)

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    Article

    Rheological properties and stability of magnetorheological fluids using viscoelastic medium and nanoadditives

    In order to improve the stability of magnetorheological (MR) fluids, viscoelastic medium having 2.2 Pa yield stress has been used as a continuous phase and nanosized CrO2 particles are added too. The rheological ...

    Jong Hyeok Park, Moo Hyun Kwon, O. Ok Park in Korean Journal of Chemical Engineering (2001)

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    Article

    Anti-lock brake system control for buses based on fuzzy logic and a sliding-mode observer

    In this paper, an anti-lock brake system (ABS) for commercial buses is proposed based on a fuzzy-logic controller and a sliding-mode observer of the vehicle speed. The brake controller generates pulse width mo...

    Jong Hyeon Park, Dong Hee Kim, Yong Ju Kim in KSME International Journal (2001)

  14. No Access

    Article

    Effect of aeration rates on production of extracellular polysaccharide, EPS-R, by marine bacteriumHahella chejuensis

    The production of an extracellular polysaccharide, EPS-R, from the marine bacteriumHahella chejuensis was investigated at various aeration rates in a batch culture. Higher aeration rate resulted in enhanced EPS p...

    Hyun Sang Lee, Shin Hye Park, Jong Ho Lee in Biotechnology and Bioprocess Engineering (2001)

  15. No Access

    Chapter and Conference Paper

    A Statistical Identification and Verification Method for Biometrics

    A biometrics system is to find out the identity of a person by measuring physical and physiological features which can distinguish the corresponding person from others. When applying the conventional machine l...

    Kwanyong Lee, Hyeyoung Park in PRICAI 2002: Trends in Artificial Intelligence (2002)

  16. No Access

    Chapter

    On the Design of Wideband CDMA User Equipment (UE) Modem

    This paper describes the details of the implementation issues on wideband CDMA UE Modem, concentrating on the receiving side. Employed top-down design methodology and corresponding work efforts on each task ar...

    KyungHi Chang, MoonChil Song in Advanced Signal Processing for Communicati… (2002)

  17. No Access

    Chapter and Conference Paper

    Network Optimization through Learning and Pruning in Neuromanifold

    In this paper, we propose an optimization method of neural networks based on the geometrical structure of neuromanifold. The optimizing process starts from the manifold of sufficiently large network model. In ...

    Hyun** Lee, Hyeyoung Park, Yillbyung Lee in PRICAI 2002: Trends in Artificial Intelligence (2002)

  18. Chapter and Conference Paper

    Extraction of Multiple Motion Trajectories in Human Motion

    This paper presents a method for extracting multiple motion trajectories in human motions. We extract motion trajectories of body parts (hands and feet) using a new method based on optical flow information. Th...

    Junghye Min, ** Hyeong Park, Rangachar Kasturi in Image Analysis (2003)

  19. No Access

    Article

    Vertical Alignment of Single-Walled Carbon Nanotubes on Chemically Functionalized Silicon Substrates

    Carbon nanotubes have been widely investigated as an essential component for fabricating nanoelectronic devices and for their numerous applications. We investigated the vertical alignment of single-walled carb...

    Ha-** Lee, Hyeyoung Park, Sunyoung Koo, Haiwon Lee in MRS Online Proceedings Library (2003)

  20. No Access

    Chapter and Conference Paper

    Geometry of Learning in Multilayer Perceptrons

    Neural networks provide a good model of learning from statistical data. Multilayer perceptron is regarded as a statistical model in which a nonlinear input-output relation is realized. The set of multilayer pe...

    Shun-ichi Amari, Hyeyoung Park, Tomoko Ozeki in COMPSTAT 2004 — Proceedings in Computation… (2004)

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