Assignment 3: Physically Based Rendering - MIT OpenCourseWare
Recommend Documents
best runner, and then loop through all values to find the second-best (second lowest) time. Here is a program skeleton t
Probability. Definition: The probability density function (PDF) p(x) of a random
variable X in a domain Ω describes the relative likelihood for this variable to
occur ...
Like most spreadsheet programs MS Excel has a random number generator
function. Say we had a list of ... The Abdul Latif Jameel Poverty Action Lab. @MIT
...
Create a new class called FooCorporation. ... Good luck! Page 2. MIT OpenCourseWare http://ocw.mit.edu. 6.092 Introducti
Department of Electrical Engineering & Computer Science. 6.041/6.431:
Probabilistic Systems Analysis. (Fall 2010). Problem Set 3 Solutions. Due
September 29 ...
1. Solution Key- 7.013 Problem Set 3- 2013. Question 1. You are analyzing the
following human pedigree for a disease. Please note: The filled squares or ...
Problem Set 3: Hsieh and Klenow (QJE 2009). This exercise goes ... (a) (1 point)
Given the production function given in formula (3) of the paper, solve the cost ...
baby face. It is produced by texture mapping of real photo and synthetic micro structure of different roughness. Figure 11 shows an aged face applying age ...
for Physically Based Rendering. Eric P. Lafortune and Yves D. Willems.
Department of Computer Science, Katholieke Universiteit Leuven.
Celestijnenlaan 200A ...
Feb 6, 2007 ... Department of Electrical Engineering & Computer Science. ELECTRICAL
SAFETY for Staff and Students in EECS Instructional Laboratories.
Run it in Eclipse (Run â Run As â Java Application). What is the output of the unmodified program? Include this as a
16.323 6â16. CARE Solution Algorithm. ⢠Recall from (6â10) that. . . A. R. â1. BT . xË(t). âBu uu u x(t). = p
Clean this up by defining the Hamiltonian: (See 4â4). H(x, u ... Note the symmetry in the differential equations: ...
Hydrogen Atoms. It is electron density that we measure by X-ray diffraction. The
heavier an atom is and the more electrons it has, the stronger is its effect on the.
If you invest P dollars at the annual interest rate r, then after one year the interest
is ... For compound interest, the year is divided into k equal time periods and the.
Chapter 2. POISSON PROCESSES. 2.1 Introduction. A Poisson process is a
simple and widely used stochastic process for modeling the times at which
arrivals ...
... has never been formally put to the test ... prediction (Celi et al., J Healthcare
Eng 2011). • Examine ... Adapted from upcoming publication by Leo Anthony Celi
.
Department of Architecture. How does Digital Fabrication Work for architects? –
Method. - Materializing Design ... Refabricating Architecture: How Manufacturing
...
We assume that we know exactly the energy eigenkets and eigenvalues of H0: .... We can now calculate the second order energy, since we know the first order eigenstate: .... As an exercise, we can find as well the results of TIPT. ..... we can just us
Given any 0 9 1 0 such that if kx(t0)k 1, then kx(t)k 8 t t0: .... Theorem 13.1 If there exists a Lyapunov function of system (13.8), then x 0 is a ...
5 Oct 2009 ... 8.21 Lecture 12: Phase change energy conversion II. Rankine steam ... heat
extraction devices. • The Rankine steam cycle and steam turbines.
Computer Controlled Devices. Prof. Larry Sass. Department of Architecture and
Planning ... Kieran, Stephen, and James Timberlake. Refabricating Architecture:.
Exercises on solving Ax = 0: pivot variables, special solutions ... b) What is the
rank of this matrix? ... (3.3 #17.b Introduction to Linear Algebra: Strang) Find A1.
/04/09 wk5-b-. \ ial inde profile: Spherical refractive surface with axial index
profile n(z) fai ricanion i r f elding & grinding. \ Meld. 3. Gradient Index (GRIN)
optics:.
Assignment 3: Physically Based Rendering - MIT OpenCourseWare
MIT 4.430 Daylighting. Assignment 3 – Physically Based Rendering. Task 3.1:
Assign Material Properties (Individual Assignment). Task 3.2: DIVA Visualization
...
MIT 4.430 Daylighting
Assignment 3 – Physically Based Rendering
Task 3.1: Assign Material Properties (Individual Assignment) For this assignment you will conduct a daylight simulation of the classroom as in the previous assignment and compare your results to the measurements that you took in Task 2.3. In order to do so please translate the reflectance and transmittance values from Task 2.2 into Radiance materials and assign them to the appropriate layers in your Rhino model. While preparing your simulations, please refer to the simulation checklist on page #3 and convert your “architectural’ Rhino file into a file that is suitable for daylight simulations. Please resubmit your Rhino file and a description of the changes made to the original "architectural model" (use the following naming convention for the files, A31_LastName.PDF or .3DM).
Task 3.2: DIVA Visualization and Illuminance Simulation (Individual Assignment) Conduct a DIVA/Radiance visualization from the view point of where you took your HDR photograph and calculate the illuminance across a grid of sensors for the sky conditions under which you took your measurements in Task 2.3. The analysis grid of upward facing sensors should be 0.85 m above the floor and have a resolution of 0.5m by 0.5m. As simulation parameters use: ab 4 ad 1500 ar100 20 aa 0.1 av0 0 0 (These parameters will be further explained in future lectures.) Use the following radiation levels for the Perez sky model for the time when you took your measurements. Compare your results and comment on your findings. Solar Date and Time
Please resubmit your simulated Rhino file and a comparison of measured and simulated illuminance following the format of table 3.1. You can also use the Excel Table 3.1 Posted on the course site. (Please name your files using the following name: A32_LastName.3DM.) Table 3.1 Comparison of Measured and Simulated Illuminance Sensor Number Measured Simulated Illuminance [lux] Illuminance [lux] 1 2 3 ..... 12
xxx xxx xxx ... xxx
Relative Error [(Em-Es)/Em]
xxx xxx xxx .. xxx
* Sensor number one should be the sensor closest to the windows.
2
x x x .. x
MIT 4.430 Daylighting
Table: Daylight Simulation Checklist. Before you start
Did you decide which daylighting performance metrics to simulate and how to interpret the results? Do you have a general idea of what the results should look like? E.g. a mean daylight factor in a standard sidelit space should lie between 2% and 5%; interior illuminance should lie between 100 lux and 3000 lux and daylight autonomies should range from 60% to 90% throughout the space. Have you verified that the simulation program that you intend to use has been validated for the purpose that you intend to use it for, i.e. that the simulation engine produces reliable results and that the program supports the sky models related to your performance metric of choice? (An example would be the old CIE overcast sky for daylight factor calculations.) Have you secured credible climate data for your building site? (This is only required for climate-based daylighting performance metrics.)
Preparing the scene
Did you model all significant neighboring obstructions such as adjacent buildings and trees? Did you model the ground plane? Did you model wall thicknesses, interior partitions, hanging ceilings and larger pieces of furniture? Try to model all space dimensions at least within a 5cm tolerance. Façade details should be modeled with a 2cm tolerance. Did you consider window frames and mullions by either modeling them geometrically or by using reduced visual transmittances for windows and skylights? Window glazings: - Did you check that all window glazings only consist of one surface? Several CAD tools model double/triple glazings as two/three closely spaced parallel surfaces whereas daylight simulation programs tend to assign the optical properties of multiple glazings to a single surface. - Did you check that all windows are ’inserted’ into the wall planes and not "overlaid" on the wall surfaces? Several CAD tools suggest that you can create and visualize a window in many different ways, one simply being the placement of a window surface on top of a wall surface which case end up with two coplanar surfaces. As a result the simulation program will either ignore the window or somehow ‘guess’ which surface to consider. Did you assign meaningful material properties to all scene components? Did you model any movable shading devices such as venetian blinds? If yes, do the results make sense?
Setting up the simulation
Make sure that you set up your project files correctly. This may involve: - Checking that your project directory and file names do not contain any blanks (“ “). - Verifying that all sensors have the correct orientation, i.e. work plane sensors are facing up and ceiling sensors are facing down. - Setting the resolution of the work plane to 0.5m x 0.5m or 1ft x 1ft and placing it around 0.85m above the floor. - Selecting simulation parameters that correspond to the ‘scene complexity’. To do so you should consult the technical manual of your simulation program. - Selecting the correct sky model (CIE, Perez, etc.).
*) For a scene of low complexity (typical sidelit space with a standard window) the Radiance simulation parameters should be: ab= 4; ad =1500; ar=100, as=20; aa = 0.1; av=0 0 0.
3
MIT OpenCourseWare http://ocw.mit.edu
4.430 Daylighting Spring 2012
For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms.