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The defaults of value is "9600, n, 8,1".
The software flow is shown in Fig. 1.
Data Query and Deletion. 1) Data Query.
References [1] J H.
Dasgupu, et al: Analytica Chimica Acta, Vol.479 (2003) No.2, pp. 151-165

The System Structure is shown in Fig. 1.
Each agent is composed of five components, as shown in Fig. 1.
Table 1.
References [1] M Minsky.
Journal of Computer Research and Development, 2008 45(3): 479-486

As the parameters of the dry fabric were determined, the kenaf yarns were self-woven into plain 1/1 (Fig. 1) using “Floor Loom”.
The Vf in form of composites was calculated according to the equation (1) [7]: Vf = n.m ÷ ρ.h (1) Where n is the fabric ply number in the composite, m is the areal density of the fabric, ρ is the density of the fiber (1.2g/cm3 [8]) and h is the measured thickness of the composite.
Fig. 1: Floor loom Fig. 2: Woven kenaf plain 1/1 Table1: Prediction and actual parameters of reinforce material properties.
Three different panels were produce with different thickness (measured using a caliper); 276tex thickness panel 1.39mm, 413.4tex thickness panel 1.62mm and 759tex thickness panel 2.50mm.
References [1] Karnani R, K.M., Narayan R., Biofiber reinforced polypropylene composites, Polym.

The chemical composition is shown in Table 1.
Table. 1 Chemical composition of elements (Weight Percentage) Ni Co W Mo Al Nb Ta Re Hf Bal. 8.5-9.5 7.0-9.0 1.5-2.5 5.2-6.2 0-1.2 6.0-8.5 1.6-2.4 0.05-0.2 Fig.1.
Conclusion (1).
References [1] P.
Deluca, Development and Fracture of the PWA 1472 Superalloy Single Crystal, Acta Mater, 48(2000)469-479

Other characteristics are listed in Table.1.
When the pulse width is between 1ms and 1.5ms, the motor is in a forward mode; when the pulse width is between 1.5ms and 2ms, the motor is in a reverse mode; and when the pulse width is 1.5ms, the motor stops.
Fig.1.Apperance of the tracked robot Fig.2.
Fig.8. data_out(0) and data_out(1) Fig.9.
Albert Martin, “Real time Harmonic Elimination PWM control for Voltage Source Inverters,” 2012 International Conference on Advances in Engineering, Science and Management (ICAESM), pp.479 – 484.

The figure 1 illustrates the total cost corresponding to the retrofit intervention.
· Formulation It is easy to express the expenditures for retrofit and new equivalent building like the following expressions: 1.1Cret/25+ Ins (Retrofit) (1) 1.1Crec/50 (New equivalent building) (2) · Resolution The solving of the problem consists to compare the expression (1) to the expression (2).
(1): Retrofit (2): New equivalent building Ins R Annual expenditures Figure 2.
References: [1] Farris, M.
[13] Bouhedja S. et all: Optimized Cost of High Performance Concrete in the Build, Advanced Materials Research Vol. 911, pp 479-483, (2014).

The detailed can be seen in table 1.
The choice rule is shown in Table 1.
References [1] M.Yazdani, M.Zandieh and M.
Advanced Materials Research. 1(2012)457-458,616
Advanced Materials Research. 2(2012) 479-481

In Fig.1, Ii (i = 1,2, ..., n) is the neural network input layer neuron.
Input layer neuron Ii (i = 1,2, ..., n) is correspondence with the customer feature subset.
Fig.1 Neural Network Model The output layer only has an output neuron.
When the feature set of the same demand class is set for training, the ideal output is “1”.
To improve the training time of BP neural networks [C], Info-tech and Info-net, 2001 International Conferences on, 2001, 3(3): 473-479.

Figure 1.
The results are shown in Table 1.
Table 1.
References [1] DONG Bochao, SONG Baowei, LIANG Qingwei.
Advances in Applied Probability, 20(1998) 479-482

Figure 1 shows the front and side view of the robot.
Figure 1.
The parameters of the proposed adaptive fuzzy controller are given as follows: γ1=0.5, γ2=80, γ3=0, P=15555, Q=diag10,10, wl,r=0,k6,4,2=1, k5, 3, 1=2.
References [1] J.
Wanying, “Research on Control Method of Two-wheeled Self-balancing Robot,” International Conference on Intelligent Computation Technology and Automation, pp. 476-479, (2011)