dual estimation
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Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 8159
Author(s):  
Dominik Sierociuk ◽  
Michal Macias

In this paper, a method for states, parameters, and fractional order estimation is presented. The proposed method is an extension of the traditional dual estimation method and uses three blocks of filters with appropriate data interconnections. As the main part of the estimation algorithm, the Fractional Unscented Kalman Filter was used. The proposed Triple Estimation algorithm might be treated as a convenient tool for estimation and analysis of a wide range of dynamical systems with fractional constants or variable order nature, especially when knowledge about the identified system is very restricted and both order and system parameters are unknown. In order to show the performance of the proposed algorithm, sets of numerical results are presented.


Author(s):  
Alhelou Muhammed ◽  
Alexander Gavrilov

This article introduces a new approach to manage the “handling–comfort” contradiction of a vehicle suspension system. The idea is based on determining a specific time constant that reflects the percentage of suspension damping. This time constant is defined using the measurement of the sprung mass acceleration and the suspension deflection. A distinction is made between the control unit design for a semi-active suspension system and the control unit design for an active suspension system. The semi-active design is based on two sensors and a Kalman filter (KF), while the active design is based on three sensors and a dual-estimation KF. For active suspension, a third sensor was added to measure the acceleration of the unsprung mass. Simulation is carried out in Simulink and Simscape environments. The results of the proposed approach were compared with the results achieved by the hybrid-hook system. Simulation results showed a better efficiency of the proposed approach in driving safety during a “comfort” situation.


2019 ◽  
Vol 122 (3) ◽  
pp. 779-797 ◽  
Author(s):  
Vikas Gupta ◽  
Manohar Sajnani

PurposeThe purpose of this paper is to find out how the overall destination experiences of the foreign tourists in India are influenced by the perceived authenticity of the street foods and the degree of their variation/modification. It will also discuss how these characteristics further influence the tourists’ behavioural intentions (intention to revisit and word-of-mouth).Design/methodology/approachData have been collected from 263 foreign tourists visiting Delhi at various street food vending sites using location intercept technique through structured questionnaire. Different ad hoc scales were adapted based on previous studies for measuring the perception of authenticity, ability to adapt, cultural disparity and overall perceived experience. The partial least squares method was applied to achieve the dual estimation of the measurement and the structural model.FindingsResult indicates that perceived authenticity and cultural disparity have a positive influence on the overall perceived experiences of the foreign tourists. It is also found that the degree of variation/modification in the street foods condenses the authenticity perception of the tourists. Findings reveal that the tourists are less influenced by the cultural disparity when they are able to adapt to diverse cultures and simultaneously authenticity have a larger effect on their overall destination experiences.Originality/valueAlthough various studies have been conducted in the past related to the food experiences of tourists at various destinations, this will be the first attempt to find out how the overall destination experiences of the foreign tourists in India are influenced by the perceived authenticity of the street foods and the degree of their variation/adaptation. It will help the stakeholders to appropriately align the gastronomic product and enhance the tourists’ overall destination experiences.


2019 ◽  
Vol 30 (10) ◽  
pp. 1533-1546
Author(s):  
Amit Yashar ◽  
Xiuyun Wu ◽  
Jiageng Chen ◽  
Marisa Carrasco

Humans often fail to identify a target because of nearby flankers. The nature and stages at which this crowding occurs are unclear, and whether crowding operates via a common mechanism across visual dimensions is unknown. Using a dual-estimation report ( N = 42), we quantitatively assessed the processing of features alone and in conjunction with another feature both within and between dimensions. Under crowding, observers misreported colors and orientations (i.e., reported a flanker value instead of the target’s value) but averaged the target’s and flankers’ spatial frequencies (SFs). Interestingly, whereas orientation and color errors were independent, orientation and SF errors were interdependent. These qualitative differences of errors across dimensions revealed a tight link between crowding and feature binding, which is contingent on the type of feature dimension. These results and a computational model suggest that crowding and misbinding are due to pooling across a joint coding of orientations and SFs but not of colors.


2018 ◽  
Author(s):  
Amit Yashar ◽  
Xiuyun Wu ◽  
Jiageng Chen ◽  
Marisa Carrasco

Humans often fail to identify a target because of nearby flankers. The nature and stage(s) at which this 'crowding' occurs are unclear, and whether crowding operates via a common mechanism across visual dimensions is unknown. Using a dual estimation report, we quantitatively assessed the processing of each feature alone and in conjunction with another feature both within and between dimensions. Crowding emerged due to confusion between orientations or colors of target and flankers, but averaging of their spatial frequencies (SFs). Furthermore, crowding of orientation and color were independent, but crowding of orientation and SF were interdependent. This qualitative difference of crowding errors across dimensions revealed a tight link between crowding and 'illusory conjunctions' (mis-binding of feature dimensions). These results and a computational model suggest that crowding and illusory conjunction in the visual periphery are due to pooling across a joint coding of orientation and spatial frequencies but not of color.


2018 ◽  
Vol 22 (3) ◽  
pp. 575-584
Author(s):  
Subhasmita Sahoo ◽  
Aurobinda Routray

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