Streeter-Phelps Dissolved Oxygen Model k,BOD DO = DO3 k, – k DO = dissolved oxygen concentration DO,= saturation oxygen concentration k, = BOD decay coefficient D,= initial D0 deficit %3D %3D BOD= BOD load k, = reaeration coefficient x= downstream distance v = stream velocity 10 20 Distance Downstream (km)
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- based on the scatter plot, what type of model is most appropriate for comparing distance and temperatureA digital radio communication system receives a signal with signal power Sof 3 µW, and noise level of 200 nW, on a radio channel with upper cut-offfrequency of 2.42 GHz, and a lower cut-of frequency of 2.40GHz. What is the maximum information bit rate (net bit rate exclusive of forward error correction codes) that can be supported by this line, in theory, according to ShannonHartley?You are given a simulated stream of data, in the form of a time series. The time series represents traffic data from a simulated highway system and the process of mining the data is based on simulated motion sensors. Describe a stochastic model, one you might build to generate such data. Describe the appropriate distribution (e.g. Gaussian) for each data source. Describe the model in your favorite programming language and show the time series it generates. Describe the data using appropriate plots.
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- Here is the Berkeley Madonna code: {Top model} {Reservoirs} d/dt (Q) = + Stimulus - Imemb INIT Q = -65/cap {Flows} Stimulus = Intensity*SquarePulse(3,.5) {at t=3 of 0.5 duration} Imemb = IL+IK+INa {Functions} Intensity = 100 {microamps} cap = 1 E = Q/cap {Submodel "INa_"} {Functions} ENa = 50 INa = gNa*(E-ENa) GNaMax = 120 gNa = GNaMax*m*m*m*h {Submodel "m_gates"} {Reservoirs} d/dt (m) = + m_prod - m_decay INIT m = am/(am+bm) {Flows} m_prod = am*(1-m) m_decay = bm*m {Functions} am = 0.1*(E+40)/(1-exp(-(E+40)/10)) bm = 4*exp(-(E+65)/18) {Submodel "h_gates"} {Reservoirs} d/dt (h) = + h_prod - h_decay INIT h = ah/(ah+bh) {Flows} h_prod = ah*(1-h) h_decay = bh*h {Functions} ah = 0.07*exp(-(E+65)/20) bh =…The project will be done in Matlab over m-file. In this project, a vehicle with a mass of 1000kg, 50 N.s / m frictionIt proceeds on a path with a coefficient. The force acting on the vehicle is given as 500N.Design the digital controller that meets the following criteria. Do not forget to use zero-order hold in system design. Required criteria:Reference Speed: 10 m / sSampling Period: (1/50) secRise time (tr) <5 s Max.Overrun (up) <10%Steady state error (ess) <2%Convert the following algorithm into Python code Algorithm 2: Cluster formation phase: Selection of the CH Input: measurement from sensor i of the parameter ri Output: tracking cluster C and the Cluster Head CH 1: C ← ∅, CH ← ∅, timer ← collectInterval 2: at each sensor i do 3: calculate ri 4: if Ii ≥ threshold then 5: C ← {i} 6: broadcast MEASUREMENT{xi, yi, ri, Eres(i)} 7: if timer = 0 then 8: calculate FCH(i) = Eres(i) ri 9: if MaxFCH(i) then 10: CH ← i 11: end if 12: end if 13: end if 14: end