Natural Logarithm

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Xie Zhiming - One of the best experts on this subject based on the ideXlab platform.

  • gray level value Natural Logarithm ratio neighborhood filters method for image denoising
    Journal of Computer Applications, 2009
    Co-Authors: Xie Zhiming
    Abstract:

    A new method based on gray-level value Natural Logarithm ratio neighborhood filters was presented for image de-noising.Starting from the present neighborhood filters model,the denoising principles and the existing problem of the gray-level value in normalization factor were analyzed.As a solution,a new gray-level value Natural Logarithm ratio range filter kernel was pointed out for the Bilateral filtering,a representative method of Neighborhood filters.The new gray-level value Natural Logarithm ratio Bilateral Neighborhood filtering method can not only well restrain noise but also keep weak edges and details of an image as many as possible,and preserve the original color transition of color images.Experimental results show that the effectiveness for image de-noising of the new method is better.

  • A Gray-Natural Logarithm Ratio Neighborhood Filters Method for Biomedical Image Denoising
    2008 2nd International Conference on Bioinformatics and Biomedical Engineering, 2008
    Co-Authors: Chen Guannan, Xie Zhiming, Chen Rong, Chen Jianxin, Huang Zufang, Feng Shangyuan, Li Yongzeng, Yang Kuntao
    Abstract:

    Denoising biomedical images can be completed by a spatial averaging of nearby pixels. Neighborhood filters are usually preferred. In this paper, we perform an analysis of neighborhood filters where the size of the gray Euclidean distance is small. We prove that the weak edges and details are smoothed and the gray level transition tends to become mild filtering with these neighborhood filters. As a solution, we propose a gray-Natural Logarithm ratio bilateral neighborhood filter. The new gray-Natural Logarithm ratio bilateral neighborhood filter method can not only well restrain noise but also keep much more weak edges and details of a biomedical image, and preserve the original gray level transition of gray level images. Experimental results show that the effectiveness for biomedical image denoising with our method is better.

Ivonne M.c.m. Rietjens - One of the best experts on this subject based on the ideXlab platform.

Fadly Jashi Darsivan - One of the best experts on this subject based on the ideXlab platform.

  • ICARCV - Natural Logarithm sliding mode control (ln-SMC) using EMRAN for active engine mounting system
    2010 11th International Conference on Control Automation Robotics & Vision, 2010
    Co-Authors: Andika Aji Wijaya, R. Akmeliawati, Wahyudi, Fadly Jashi Darsivan
    Abstract:

    Robustness of the controller becomes major important factor in active engine mounting system to ensure the vibration of the engine can be attenuated in entire range of operating speed. As robustness is the main advantage of sliding mode control, it has been proposed for vibration control applications. However, most of the proposed sliding mode control are using linear sliding surface. In addition, there is no schematic method to determine the optimum sliding function. In this paper, Natural Logarithm-based sliding function is introduced. By its nature, Natural Logarithm function is nonlinear function. Since it consists of one parameter only, which is related to maximum allowable vibration level, it is more easily to be determined by the designer. Moreover, the advantage of fast on-line training using Extended Minimum Resource Allocating Network (EMRAN) algorithm, made it possible to design feedback control law without having to obtain the precise system model which is normally becomes major difficulties of sliding mode approach.

  • Natural Logarithm sliding mode control (ln-SMC) using EMRAN for active engine mounting system
    2010 11th International Conference on Control Automation Robotics & Vision, 2010
    Co-Authors: Andika Aji Wijaya, R. Akmeliawati, Fadly Jashi Darsivan
    Abstract:

    Robustness of the controller becomes major important factor in active engine mounting system to ensure the vibration of the engine can be attenuated in entire range of operating speed. As robustness is the main advantage of sliding mode control, it has been proposed for vibration control applications. However, most of the proposed sliding mode control are using linear sliding surface. In addition, there is no schematic method to determine the optimum sliding function. In this paper, Natural Logarithm-based sliding function is introduced. By its nature, Natural Logarithm function is nonlinear function. Since it consists of one parameter only, which is related to maximum allowable vibration level, it is more easily to be determined by the designer. Moreover, the advantage of fast on-line training using Extended Minimum Resource Allocating Network (EMRAN) algorithm, made it possible to design feedback control law without having to obtain the precise system model which is normally becomes major difficulties of sliding mode approach.

  • intelligent sliding mode control using Natural Logarithm sliding surface
    2010
    Co-Authors: Ridhuan Siradj, Fadly Jashi Darsivan
    Abstract:

    In automotive, engine mount is a component used to support the car engine on the chassis and at the same time isolates engine vibration. Ideally engine mount system should isolate engine vibration caused by engine disturbance force in engine speed range and prevent engine bounce from shock excitation. Nowadays, active engine mounting system has been considered as the next generation of engine mounts.

R. Akmeliawati - One of the best experts on this subject based on the ideXlab platform.

  • ICARCV - Natural Logarithm sliding mode control (ln-SMC) using EMRAN for active engine mounting system
    2010 11th International Conference on Control Automation Robotics & Vision, 2010
    Co-Authors: Andika Aji Wijaya, R. Akmeliawati, Wahyudi, Fadly Jashi Darsivan
    Abstract:

    Robustness of the controller becomes major important factor in active engine mounting system to ensure the vibration of the engine can be attenuated in entire range of operating speed. As robustness is the main advantage of sliding mode control, it has been proposed for vibration control applications. However, most of the proposed sliding mode control are using linear sliding surface. In addition, there is no schematic method to determine the optimum sliding function. In this paper, Natural Logarithm-based sliding function is introduced. By its nature, Natural Logarithm function is nonlinear function. Since it consists of one parameter only, which is related to maximum allowable vibration level, it is more easily to be determined by the designer. Moreover, the advantage of fast on-line training using Extended Minimum Resource Allocating Network (EMRAN) algorithm, made it possible to design feedback control law without having to obtain the precise system model which is normally becomes major difficulties of sliding mode approach.

  • Natural Logarithm sliding mode control (ln-SMC) using EMRAN for active engine mounting system
    2010 11th International Conference on Control Automation Robotics & Vision, 2010
    Co-Authors: Andika Aji Wijaya, R. Akmeliawati, Fadly Jashi Darsivan
    Abstract:

    Robustness of the controller becomes major important factor in active engine mounting system to ensure the vibration of the engine can be attenuated in entire range of operating speed. As robustness is the main advantage of sliding mode control, it has been proposed for vibration control applications. However, most of the proposed sliding mode control are using linear sliding surface. In addition, there is no schematic method to determine the optimum sliding function. In this paper, Natural Logarithm-based sliding function is introduced. By its nature, Natural Logarithm function is nonlinear function. Since it consists of one parameter only, which is related to maximum allowable vibration level, it is more easily to be determined by the designer. Moreover, the advantage of fast on-line training using Extended Minimum Resource Allocating Network (EMRAN) algorithm, made it possible to design feedback control law without having to obtain the precise system model which is normally becomes major difficulties of sliding mode approach.

  • Natural Logarithm based sliding mode control for two dof active engine mounting system
    International Conference on Instrumentation Communications Information Technology and Biomedical Engineering, 2009
    Co-Authors: A. W. Andika, J. D. Fadly, R. Akmeliawati
    Abstract:

    The needs of powerful engine and lighter car body has adverse effect to the vibration occurred in the car. Obviously the presence of the engine vibration will imposed to the discomfort of the driver and passengers as well. To isolate the vibration, Active Engine Mounting (AEM) has been proposed as the new generation of engine mounting. The control method becomes key factor of successfulness of AEM system. This paper presents a control method using Natural Logarithm-based Sliding Mode Control (ln-SMC) for two degree-of-freedom (DOF) active engine mounting system. The performance of the controller is evaluated by applying sinusoidal and random disturbance to the system. Robustness of the proposed controller can be evaluated by increasing magnitude of the disturbance. The result shows that proposed control method not only able to attenuate the vibration of the different types of disturbance but also robust for magnitude variation of disturbance.

  • Natural Logarithm-based sliding mode control for two DOF active engine mounting system
    International Conference on Instrumentation Communication Information Technology and Biomedical Engineering 2009, 2009
    Co-Authors: A. W. Andika, J. D. Fadly, R. Akmeliawati
    Abstract:

    The needs of powerful engine and lighter car body has adverse effect to the vibration occurred in the car. Obviously the presence of the engine vibration will imposed to the discomfort of the driver and passengers as well. To isolate the vibration, active engine mounting (AEM) has been proposed as the new generation of engine mounting. The control method becomes key factor of successfulness of AEM system. This paper presents a control method using Natural Logarithm-based sliding mode control (ln-SMC) for two degree-of-freedom (DOF) active engine mounting system. The performance of the controller is evaluated by applying sinusoidal and random disturbance to the system. Robustness of the proposed controller can be evaluated by increasing magnitude of the disturbance. The result shows that proposed control method not only able to attenuate the vibration of the different types of disturbance but also robust for magnitude variation of disturbance.

Zilvinas Anusevicius - One of the best experts on this subject based on the ideXlab platform.