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Masafumi Okada - One of the best experts on this subject based on the ideXlab platform.

  • continuum model of crossing pedestrian flows and swarm control based on temporal spatial frequency
    International Conference on Robotics and Automation, 2011
    Co-Authors: Ko Yamamoto, Masafumi Okada
    Abstract:

    In the densely-populated urban areas, pedestrian flows often cross each other and congestion occurs. It may cause discomfort feeling or pedestrian accidents. In order to reduce the congestion or the risk of accidents, it is required to control swarm flows of pedestrian. This paper proposes an implicit control method of the crossing pedestrian flows. Pedestrian flow is modeled with the continuum fluid model and its congestion degree is calculated as the fluid density. From a simulation of the crossing flows with the continuum model, it is verified that diagonal stripe pattern of the congestion degree emerges. Moreover, the authors propose an implicit control method to improve average flow velocity by moving guides. Focusing on Periodic Phenomenon of the crossing flows, we investigate the relationship between its temporal and spatial frequency and a Periodic motion of guides. From this relationship, a control method based on the temporal and spatial frequency is proposed.

  • ICRA - Continuum model of crossing pedestrian flows and swarm control based on temporal/spatial frequency
    2011 IEEE International Conference on Robotics and Automation, 2011
    Co-Authors: Ko Yamamoto, Masafumi Okada
    Abstract:

    In the densely-populated urban areas, pedestrian flows often cross each other and congestion occurs. It may cause discomfort feeling or pedestrian accidents. In order to reduce the congestion or the risk of accidents, it is required to control swarm flows of pedestrian. This paper proposes an implicit control method of the crossing pedestrian flows. Pedestrian flow is modeled with the continuum fluid model and its congestion degree is calculated as the fluid density. From a simulation of the crossing flows with the continuum model, it is verified that diagonal stripe pattern of the congestion degree emerges. Moreover, the authors propose an implicit control method to improve average flow velocity by moving guides. Focusing on Periodic Phenomenon of the crossing flows, we investigate the relationship between its temporal and spatial frequency and a Periodic motion of guides. From this relationship, a control method based on the temporal and spatial frequency is proposed.

Jérôme Antoni - One of the best experts on this subject based on the ideXlab platform.

  • A multi-order probabilistic approach for Instantaneous Angular Speed tracking debriefing of the CMMNO׳14 diagnosis contest
    Mechanical Systems and Signal Processing, 2016
    Co-Authors: Quentin Leclere, Hugo André, Jérôme Antoni
    Abstract:

    Abstract The aim of this work is to propose a novel approach for the estimation of the Instantaneous Angular Speed (IAS) of rotating machines from vibration measurements. This work is originated from the organisation, by the authors of this paper, of a contest during the conference CMMNO 2014, that was held in Lyon, December 2014. One purpose of the contest was to extract the IAS of a wind turbine from a gearbox accelerometer signal. The analysis of contestant contributions led to the observation that the main source of error in this exercise was the wrong association of one selected and tracked harmonic component with one mechanical Periodic Phenomenon, this association being assumed as an a priori hypothesis by all the methods used by the contestants. The approach proposed in this work does not need this kind of a priori assumption. A majority (but not necessarily all) Periodical mechanical events are considered from a preliminary analysis of the kinematics of the machine (harmonics of shaft rotation speeds, meshing frequencies, etc.). The IAS is then determined from probability density functions that are constructed from instantaneous spectra of the signal. The efficiency and robustness of the proposed approach are illustrated in the frame of the CMMNO 2014 contest case.

  • A multi-order probabilistic approach for Instantaneous Angular Speed tracking. debriefing of the CMMNO'14 diagnosis contest
    Mechanical Systems and Signal Processing, 2016
    Co-Authors: Quentin Leclere, Hugo André, Jérôme Antoni
    Abstract:

    The aim of this work is to propose a novel approach for the estimation of the Instantaneous Angular Speed (IAS) of rotating machines from vibration measurements. This work is originated from the organisation, by the authors of this paper, of a contest during the conference CMMNO 2014, that was held in Lyon, december 2014. One purpose of the contest was to extract the IAS of a wind turbine from a gearbox accelerometer signal. The analysis of contestant contributions led to the observation that the main source of error in this exercise was the wrong association of one selected and tracked harmonic component with one mechanical Periodic Phenomenon, this association being assumed as an a priori hypothesis by all the methods used by the contestants. The approach proposed in this work does not need this kind of a priori assumption. A majority (but not necessarily all) Periodical mechanical events are considered from a preliminary analysis of the kinematics of the machine (harmonics of shaft rotation speeds, meshing frequencies ...). The IAS is then determined from probability density functions that are constructed from instantaneous spectra of the signal. The efficiency and robustness of the proposed approach are illustrated in the frame of the CMMNO 2014 contest case. Nomenclature Ω: IAS (Instantaneous Angular Speed) (in Hz) ω: argument of the probability density function (pdf) of the IAS (in Hz) A(f): whitened instantaneous spectrum (dimensionless), depending on the frequency f (in Hz) Ω min : minimum value of the a priori IAS uniform law (in Hz) Ω max : maximum value of the a priori IAS uniform law (in Hz) H i (i ∈ [1...n]): orders of the mechanism, with respect to the IAS (dimension-less) [Ω|H i ]: pdf of the IAS knowing H i , function of ω (in Hz) [Ω j |Ω j+k ]: pdf of the IAS at time j knowing the IAS at time j + k, function of ω (in Hz) [Ω j ] j+k : pdf of the IAS at time j obtained from [Ω j+k ], function of ω (in Hz) γ: standard acceleration for IAS (smoothing parameter), in (Hz 2) [Ω j ] s : smoothed pdf of the IAS at time j, function of ω (in Hz)

Ko Yamamoto - One of the best experts on this subject based on the ideXlab platform.

  • continuum model of crossing pedestrian flows and swarm control based on temporal spatial frequency
    International Conference on Robotics and Automation, 2011
    Co-Authors: Ko Yamamoto, Masafumi Okada
    Abstract:

    In the densely-populated urban areas, pedestrian flows often cross each other and congestion occurs. It may cause discomfort feeling or pedestrian accidents. In order to reduce the congestion or the risk of accidents, it is required to control swarm flows of pedestrian. This paper proposes an implicit control method of the crossing pedestrian flows. Pedestrian flow is modeled with the continuum fluid model and its congestion degree is calculated as the fluid density. From a simulation of the crossing flows with the continuum model, it is verified that diagonal stripe pattern of the congestion degree emerges. Moreover, the authors propose an implicit control method to improve average flow velocity by moving guides. Focusing on Periodic Phenomenon of the crossing flows, we investigate the relationship between its temporal and spatial frequency and a Periodic motion of guides. From this relationship, a control method based on the temporal and spatial frequency is proposed.

  • ICRA - Continuum model of crossing pedestrian flows and swarm control based on temporal/spatial frequency
    2011 IEEE International Conference on Robotics and Automation, 2011
    Co-Authors: Ko Yamamoto, Masafumi Okada
    Abstract:

    In the densely-populated urban areas, pedestrian flows often cross each other and congestion occurs. It may cause discomfort feeling or pedestrian accidents. In order to reduce the congestion or the risk of accidents, it is required to control swarm flows of pedestrian. This paper proposes an implicit control method of the crossing pedestrian flows. Pedestrian flow is modeled with the continuum fluid model and its congestion degree is calculated as the fluid density. From a simulation of the crossing flows with the continuum model, it is verified that diagonal stripe pattern of the congestion degree emerges. Moreover, the authors propose an implicit control method to improve average flow velocity by moving guides. Focusing on Periodic Phenomenon of the crossing flows, we investigate the relationship between its temporal and spatial frequency and a Periodic motion of guides. From this relationship, a control method based on the temporal and spatial frequency is proposed.

Quentin Leclere - One of the best experts on this subject based on the ideXlab platform.

  • A multi-order probabilistic approach for Instantaneous Angular Speed tracking debriefing of the CMMNO׳14 diagnosis contest
    Mechanical Systems and Signal Processing, 2016
    Co-Authors: Quentin Leclere, Hugo André, Jérôme Antoni
    Abstract:

    Abstract The aim of this work is to propose a novel approach for the estimation of the Instantaneous Angular Speed (IAS) of rotating machines from vibration measurements. This work is originated from the organisation, by the authors of this paper, of a contest during the conference CMMNO 2014, that was held in Lyon, December 2014. One purpose of the contest was to extract the IAS of a wind turbine from a gearbox accelerometer signal. The analysis of contestant contributions led to the observation that the main source of error in this exercise was the wrong association of one selected and tracked harmonic component with one mechanical Periodic Phenomenon, this association being assumed as an a priori hypothesis by all the methods used by the contestants. The approach proposed in this work does not need this kind of a priori assumption. A majority (but not necessarily all) Periodical mechanical events are considered from a preliminary analysis of the kinematics of the machine (harmonics of shaft rotation speeds, meshing frequencies, etc.). The IAS is then determined from probability density functions that are constructed from instantaneous spectra of the signal. The efficiency and robustness of the proposed approach are illustrated in the frame of the CMMNO 2014 contest case.

  • A multi-order probabilistic approach for Instantaneous Angular Speed tracking. debriefing of the CMMNO'14 diagnosis contest
    Mechanical Systems and Signal Processing, 2016
    Co-Authors: Quentin Leclere, Hugo André, Jérôme Antoni
    Abstract:

    The aim of this work is to propose a novel approach for the estimation of the Instantaneous Angular Speed (IAS) of rotating machines from vibration measurements. This work is originated from the organisation, by the authors of this paper, of a contest during the conference CMMNO 2014, that was held in Lyon, december 2014. One purpose of the contest was to extract the IAS of a wind turbine from a gearbox accelerometer signal. The analysis of contestant contributions led to the observation that the main source of error in this exercise was the wrong association of one selected and tracked harmonic component with one mechanical Periodic Phenomenon, this association being assumed as an a priori hypothesis by all the methods used by the contestants. The approach proposed in this work does not need this kind of a priori assumption. A majority (but not necessarily all) Periodical mechanical events are considered from a preliminary analysis of the kinematics of the machine (harmonics of shaft rotation speeds, meshing frequencies ...). The IAS is then determined from probability density functions that are constructed from instantaneous spectra of the signal. The efficiency and robustness of the proposed approach are illustrated in the frame of the CMMNO 2014 contest case. Nomenclature Ω: IAS (Instantaneous Angular Speed) (in Hz) ω: argument of the probability density function (pdf) of the IAS (in Hz) A(f): whitened instantaneous spectrum (dimensionless), depending on the frequency f (in Hz) Ω min : minimum value of the a priori IAS uniform law (in Hz) Ω max : maximum value of the a priori IAS uniform law (in Hz) H i (i ∈ [1...n]): orders of the mechanism, with respect to the IAS (dimension-less) [Ω|H i ]: pdf of the IAS knowing H i , function of ω (in Hz) [Ω j |Ω j+k ]: pdf of the IAS at time j knowing the IAS at time j + k, function of ω (in Hz) [Ω j ] j+k : pdf of the IAS at time j obtained from [Ω j+k ], function of ω (in Hz) γ: standard acceleration for IAS (smoothing parameter), in (Hz 2) [Ω j ] s : smoothed pdf of the IAS at time j, function of ω (in Hz)

Gracian Trivino - One of the best experts on this subject based on the ideXlab platform.

  • Computational Perceptions of uninterpretable data. A case study on the linguistic modeling of human gait as a quasi-Periodic Phenomenon
    Fuzzy Sets and Systems, 2014
    Co-Authors: Daniel Sanchez-valdes, Gracian Trivino
    Abstract:

    As a contribution to the field of the Zadeh's Computational Theory of Perceptions, this paper deals with generating linguistic models of those phenomena that the designer cannot completely recognize at running time. We explore the possibility of generating linguistic descriptions including in their meaning the fact the complete interpretation of input data is not feasible. With this purpose, we extend our previous research in this field by introducing the concept of Computational Perception of uninterpretable data. This extension provides more expressiveness and flexibility to the currently available resources. We define a linguistic variable that explains the degree with which phenomena suit the model, i.e., if input signals can be interpreted. In order to demonstrate the advantages of this contribution, we apply it to create a definition of fuzzy set of quasi-Periodic phenomena. We use these new linguistic models to analyze and linguistically describe some characteristics of the human gait, as a case study of quasi-Periodic Phenomenon.