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The rare C-roundabout installations so far implemented in the world have not allowed analysing the capacity by means empirical data.
Even though there are no experimental data specifically referred to C-roundabouts, the effect of pedestrian flow on the lane capacity can be assessed by means of German method [13].
The model includes the determination of a capacity reduction factor M.
In order to define the level of service at each entry, in absence of experimental data (for evaluation of the traffic flows in existing intersections, the image processing technique can be used [21, 22, 23, 24]), valid indications for roundabouts can be given by HCM 2010 (see table 1).
In order to define the delays, level of service and queues at each entry, in absence of experimental data, have been employed the HCM 2010 models for conventional roundabouts.

Box with data acquisition system.
But when the geogrid width increased, the pipe shows less reduction in strain.
Figure 14 shows the reduction percent in the vertical stresses beneath the reinforcement embedded in medium sand, the reduction percent when the geogrid width equal B is 24 and 33% when the width equal to 2 B, and 60% when used geocell.
Reinforcement prevents the occurrence of most adverse mechanisms, resulting in increased load reduction.
Similarly, the reduction percent in the vertical stresses beneath the reinforcement embedded in medium sand, the reduction percent when the geogrid width equal B is 24% and 33% when the width equal to 2B, and 60 % when used geocell.

Table 3 The elongation, shrinkage of section, tensile strength, Brinell hardness of ZL101A alloy Quenching water temperature Elongation/% rate of reduction in area /% tensile strength /MPa Brinell hardness /HBW 25℃ 2.49 2.96 236 69.5 50℃ 4.80 3.65 318 71.3 70℃ 6.45 4.95 325 72.8 90℃ 4.85 3.28 305 70.6 Figure 2 Metallographic microstructure of the sample Figure 3 Fracture morphology of the sample Test results By comparing the metallographic structure and fracture analysis under different multiples, according to the data of tensile strength, elongation, reduction of area and hardness.
(3) Elongation and reduction of area: the relationship between elongation, reduction of area and quenching water temperature is shown in Figure 4.
The reduction of area is the highest at 70℃.
When the quenching water temperature is lower than 70℃, the reduction of area increases with the increase of temperature, but when the quenching water temperature is higher than 70℃, the reduction of area gradually decreases.
In summary, the following conclusions are drawn: 70°C elongation, reduction of area, and tensile strength are the highest, and Brinell hardness is slightly lower.

The hot rolled sheets were pickled and subsequently cold rolled up to 0.5mm end thickness with 70% reduction.
The MTM-FHM software [10] was used to calculate the orientation distribution functions (ODFs) from the pole figure data obtained from the X-ray texture goniometer.
These materials were further cold rolled down to a reduction of 10% reduction.
After slight rolling reduction the surface was again examined in the x-ray texture goniometer and the phi2-45° sections are shown in figure 4.
The critical amount of light cold reduction @ 10% triggers the recrystallisation kinetics to lead the inward growth of surface grains along with their orientation at 800 0C.

For the problem of feature redundancy of emotion recognition based on multi-channel physiological signals and low efficiency of traditional feature reduction algorithms on great sample data, a new chaotic particle swarm optimization algorithm (TM-CPSO) was proposed to solve the problem of emotion feature selection by combining tent map based chaos search mechanism and improved particle swarm optimization algorithm.
The recognition rate and efficiency was increased and the algorithm's validity was verified through the analysis of experimental simulation data and the comparison of several recognition methods.
A significant amount of work has been conducted by Picard and colleagues at MIT Lab who showed that certain affective states may be recognized by using physiological data including heart rate, skin conductivity, temperature, muscle activity and respiration velocity [2].
Experiments show that when the amount of data in feature sets increases, the computing speed and recognition performance of these traditional suboptimal algorithms is not satisfactory.
Then corresponding data conversion and typical statistical values of these signals are computed to obtain four feature matrixes with 193 features: ECG 100*84, EMG 100*21, SC 100*21, RSP 100*67.

This work mainly focuses on reducing WIP (Work in process) inventory and production lead time reduction.
Michel Baudin (1918) introduced a step-by-step procedure to perform a VSM analysis in a conventional way.In the modern VSM, the first step consists in the selection of a product family as the target for the improvement and in the construction of the Current State Map (CSM) for the selected product value stream.The CSM must be based on a set of data collected directly on the shop floor and is drawn using the set of standard icons.
Since the VSM has the unique feature of recording information flows associated with materials flows in the same map, the following data was collected
· Oral information conveyed · Production Flow: Type of flow between machines (push-pull) · Machines: o Set-up time o Cycle time o Number of operators o Number of shifts/hours per day After collection of all data, the CSM was constructed using the VSM standard icons.Current state map is utilized to plot different NVA actions present in the system and is shown in Fig. 1.
Fig. 1 Current state map After compiling the data in the form of a map, the process ratio was calculated .The process ratio is the ratio of VA time to the overall production lead time is the sum of the VA time and NVA time.

Load and strain data were recorded by a piezo-electric load cell and electrical resistance strain gauges and were logged at a minimum sample rate of 40 kHz.
This arrangement allowed the load cell to be pre-tensioned and placed close to the sample - these features contributed to the reduction of noise in the retrieved data (see [9]).
Load data were measured by the machine 100kN load cell.
Strain data were acquired at a sample rate of 1 Hz.
However, the 0°/±60 data did not follow this trend, and the reasons for this are not clear - no change in failure mode could be seen and further work is required in this area.

This paper describes the three main steps of the method, namely the acquisition of the earthwork data based on TLS, the pre-processing of point cloud data, the earthwork calculation and accuracy evaluation based on point cloud data.
The fully entity scanning process includes three steps: data acquisition, data processing and point cloud modeling [6,7].
Methods of data processing The scan data is also known as point cloud data.
So the data reduction is also necessary.
It is obvious that interpolation method is not feasible in practice because the point cloud data which include noises are discrete data.

Data of scale deformation from Figure 2 verify the deformability of both primary and secondary oxide scales.
Nevertheless, secondary scale proves to be more readily to deformation than primary scale from 900 to 1025 o C under lubrication condition by comparison the two sets of data for primary and secondary scales, showing its potential of plasticity.
The lower the deformation temperature, the smaller scale reduction can be achieved with increasing bulk materials reduction.
The magnitude of scale reduction becomes smaller with a heavier reductions than at a smaller bulk materials reduction when the deformation is carried out below a certain temperature.
It is not difficult to infer from the above experimental data that deformation of oxide scale is more sensitive to rolling temperature and lubrication rather than to magnitude of rolling speeds when rolling is carried out under a given reduction.

AGD channels can lead reduction gas into shaft center, and increase the gas velocity at slots level, but it have little effect on gas distribution at upper part of the furnace.
Reduction gas can be blasted into shaft centre via the AGD channel, which can optimize gas distribution.
One can observe that there is a good agreement between both the data, providing an excellent support to the model.
However, for 2#COREX furnace, AGD channels can lead reduction gas into shaft center, and increase the gas velocity at slots level.
(2)AGD channels can lead reduction gas into shaft center easy, and increase the gas velocity at slots level, but it have little effect on the gas flow distribution at shaft reduction segment