The Experts below are selected from a list of 303 Experts worldwide ranked by ideXlab platform
Tasuku Takagi - One of the best experts on this subject based on the ideXlab platform.
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Traffic Flow Optimization by Weber-Fechner Law Applied Intelligent Vehicles
The Journal of Instrumentation Automation and Systems, 2015Co-Authors: Tasuku TakagiAbstract:Weber-Fechner Law (WFL) that exists in the relationship between distance-headway (X) (X=VT, V: vehicle speed, T: time-headway) can be expressed like X=Xoe^bV. If this can be embedded into vehicles as the driver assisting intelligence, it is expected to prevent rear-end collisions and to get high efficiency flows by easing congestions. Such benefits are theoretically mentioned from the development of the WFL. The essential core parameter is Vb which is defined from the WFL as characteristic speed which is also defined as critical speed , because when the flow speed V=Vav (averaged speed) is equal to Vb (V=Vb), the flow density becomes the maximum, which does not mean the highest flow efficiency, but it easily goes to congestion. If the speed becomes equal to 2Vb (V=2Vb), the maximum economic efficiency can be obtained.
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Perspective of Adaptive CN System for Forecasting Congestion of Road Traffic Flow
Communications and Network, 2014Co-Authors: Tasuku TakagiAbstract:Basing upon the Weber-Fechner Law with respect to the stimulus (distance-headway) to the vehicle driver and the driver’s sensation (speed), the characteristic speed Vβ is defined, which is the critical vehicles flow speed just before going to congestion in road traffic flow. From the information of real time measurement of traffic flow speed (V) and time-headway (T) at the specific positions along the road, the value of Vβ is calculated and used for forecasting the flow. Discussed is how to use each Vβ to forecast the congestion. The CN system devoted to the management of road traffic flow is proposed. The idea may contribute not only to easing the traffic flow but also to optimizing it to get high efficient traffic flow.
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Weber-Fechner Law in road traffic flow
2012 Proceedings of SICE Annual Conference (SICE), 2012Co-Authors: Tasuku Takagi, Masanari Taniguchi, Shosuke SuzukiAbstract:Weber-Fechner Law was verified in between distance-headway (f) and car speed (y). Nobody has ever noticed this fact, since the traditional idea in analyses of road traffic flow has neglected the viewpoint of driver's human factor. The present paper will show the Law existence by measurements of T(time-headway) and V for each pair of cars subsequently flowing on road (X = VT). All graphical relationships between measured values of X and V showed the formula of X = X0 eßv with very high correlation factor that nearly equal to 1, which can definitely be said it obeys the Law.
Andrea M. Dietrich - One of the best experts on this subject based on the ideXlab platform.
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developing hexanal as an odor reference standard for sensory analysis of drinking water
Water Research, 2008Co-Authors: Pinar Omurozbek, Andrea M. DietrichAbstract:Abstract There are many analytical and sensory methods to analyze drinking water for flavor and off-flavors before it reaches consumers. Flavor profile analysis (FPA) is one of the most comprehensive methods. A well-trained panel is essential for FPA and although taste standards are well established, FPA training lacks an odor reference standard. In search of an odor reference standard, four different panel groups were trained and tested for n -hexanal at various concentrations (1–1000 μg/L) over 14 months. The Weber–Fechner plots for n -hexanal showed a linear and overlapping relationship for all panels. Analytical measurements demonstrated that the headspace concentration of n -hexanal was constant after 5 sniffs at 45 °C and it remained constant during FPA sessions for up to 4 h. The panelists liked the grassy odor of n -hexanal, which did not result in fatigue, and testing demonstrated that approximately 95% of the population can detect n -hexanal's odor. n -Hexanal is proposed as an odor reference standard for FPA training to define odor intensities because it is chemically stable, follows Weber–Fechner Law, mimics grassy odors found in drinking water, and was acceptable to the human panelists.
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Developing hexanal as an odor reference standard for sensory analysis of drinking water.
Water research, 2008Co-Authors: Pinar Omür-ozbek, Andrea M. DietrichAbstract:There are many analytical and sensory methods to analyze drinking water for flavor and off-flavors before it reaches consumers. Flavor profile analysis (FPA) is one of the most comprehensive methods. A well-trained panel is essential for FPA and although taste standards are well established, FPA training lacks an odor reference standard. In search of an odor reference standard, four different panel groups were trained and tested for n-hexanal at various concentrations (1-1000 microg/L) over 14 months. The Weber-Fechner plots for n-hexanal showed a linear and overlapping relationship for all panels. Analytical measurements demonstrated that the headspace concentration of n-hexanal was constant after 5 sniffs at 45 degrees C and it remained constant during FPA sessions for up to 4 h. The panelists liked the grassy odor of n-hexanal, which did not result in fatigue, and testing demonstrated that approximately 95% of the population can detect n-hexanal's odor. n-Hexanal is proposed as an odor reference standard for FPA training to define odor intensities because it is chemically stable, follows Weber-Fechner Law, mimics grassy odors found in drinking water, and was acceptable to the human panelists.
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FPA of selected odorous compounds
Journal - American Water Works Association, 1997Co-Authors: Diana M.c. Rashash, Andrea M. Dietrich, Robert C. HoehnAbstract:The odors of 15 organic compounds were evaluated by the flavor profile analysis (FPA) method. The FPA data were well described by the Weber-Fechner Law, as indicated by the R 2 values (0.6-0.99). Odor threshold concentrations were obtained and ranged from
Yang Yang - One of the best experts on this subject based on the ideXlab platform.
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Image quality assessment based on the space similarity decomposition model
Signal Processing, 2016Co-Authors: Yang Yang, Jun MingAbstract:In the image quality assessment (IQA) research field, the structural similarity index measurement (SSIM) method and human visual system (HVS) model have received much attention. However, this paper shows that the definition of the luminance comparison function in SSIM conflicts with the Weber-Fechner Law in HVS. To reconcile this contradiction, we propose a space similarity decomposition model based on the Weber-Fechner Law and SSIM's structure parameter to decompose the image into mean value, similarity, and vertical components. Experimental results show that the vertical component is the main factor of subjective perception and should be used by itself to assess image quality. This method not only can be used to independently assess image quality, it can also be combined with other IQA methods as a preprocessing step. To solve the conflict between structural similarity method (SSIM) and Weber-Fechner Law that derived from human visual system (HVS).Experiment shows that three components have different visual perception and vertical component is the main factor in subjective perception, so it should be used to assess image quality only.This space similarity decomposition model not only can be used to assess image quality independently, it could also be used as a preprocessing step in combination with other IQA schemes.
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A spatial extension method of Weber-Fechner Law
The 2nd International Conference on Information Science and Engineering, 2010Co-Authors: Jun Ming, Liu Chao, Yang YangAbstract:Based on the Weber-Fechner Law and decomposition method of image space vector, a space similarity analysis model of Weber-Fechner Law is proposed by analyzing space vector structure similarity. We explore the vision feeling of background brightness, contrast similarity and independence component, and establish new measurement of image quality. It is found that space model is more matching with subjective vision feeling and lowers complex and uncertain of image quality assessment from experimentation result. The conclusion is valuable for setting up new image quality assessment.
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Research of space similarity analysis model with Weber-Fechner Law
Journal of University of Science and Technology of China, 2010Co-Authors: Yang YangAbstract:Based on the Weber-Fechner Law and decomposition method of image space vectors,a space similarity analysis model of Weber-Ferchner Law was proposed by analyzing space vector structure similarity.It was found the space model better matches subjective visual feel and lowers complexity and uncertainty of image quality assessment.Experiment results show that the proposed model is conducive to setting up new image quality assessment methods.
Jun Ming - One of the best experts on this subject based on the ideXlab platform.
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Image quality assessment based on the space similarity decomposition model
Signal Processing, 2016Co-Authors: Yang Yang, Jun MingAbstract:In the image quality assessment (IQA) research field, the structural similarity index measurement (SSIM) method and human visual system (HVS) model have received much attention. However, this paper shows that the definition of the luminance comparison function in SSIM conflicts with the Weber-Fechner Law in HVS. To reconcile this contradiction, we propose a space similarity decomposition model based on the Weber-Fechner Law and SSIM's structure parameter to decompose the image into mean value, similarity, and vertical components. Experimental results show that the vertical component is the main factor of subjective perception and should be used by itself to assess image quality. This method not only can be used to independently assess image quality, it can also be combined with other IQA methods as a preprocessing step. To solve the conflict between structural similarity method (SSIM) and Weber-Fechner Law that derived from human visual system (HVS).Experiment shows that three components have different visual perception and vertical component is the main factor in subjective perception, so it should be used to assess image quality only.This space similarity decomposition model not only can be used to assess image quality independently, it could also be used as a preprocessing step in combination with other IQA schemes.
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A spatial extension method of Weber-Fechner Law
The 2nd International Conference on Information Science and Engineering, 2010Co-Authors: Jun Ming, Liu Chao, Yang YangAbstract:Based on the Weber-Fechner Law and decomposition method of image space vector, a space similarity analysis model of Weber-Fechner Law is proposed by analyzing space vector structure similarity. We explore the vision feeling of background brightness, contrast similarity and independence component, and establish new measurement of image quality. It is found that space model is more matching with subjective vision feeling and lowers complex and uncertain of image quality assessment from experimentation result. The conclusion is valuable for setting up new image quality assessment.
Shosuke Suzuki - One of the best experts on this subject based on the ideXlab platform.
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Weber-Fechner Law in road traffic flow
2012 Proceedings of SICE Annual Conference (SICE), 2012Co-Authors: Tasuku Takagi, Masanari Taniguchi, Shosuke SuzukiAbstract:Weber-Fechner Law was verified in between distance-headway (f) and car speed (y). Nobody has ever noticed this fact, since the traditional idea in analyses of road traffic flow has neglected the viewpoint of driver's human factor. The present paper will show the Law existence by measurements of T(time-headway) and V for each pair of cars subsequently flowing on road (X = VT). All graphical relationships between measured values of X and V showed the formula of X = X0 eßv with very high correlation factor that nearly equal to 1, which can definitely be said it obeys the Law.