mers considering extreme sports reject mainstream retailers and like to check out small stores rather of at chains plus malls. Several smaller retailers discuss trends in sports shoe sales. http://skateszone.com/
Though athletic shoes and sports stores and from doorways retailers have reported somewhat uptick in footwear sales due to the increase in extreme sports, the particular beneficiaries inside the trend are independent surf and skate niche stores.
Some West Coast surf and skate shops stated teenagers and even more youthful Generation Xers are not only rejecting traditional sports, but they're also shunning mainstream retailers and malls meant for smaller niche shops transporting hard-to-come-by brands.
Eddie Miyoshi, district manager at Atomic Garage, a 3-store chain situated in Gardena, Calif., stated the soaring recognition of skateboard footwear has boosted the retailer's total footwear business 20-thirty percent this year, rather of '95.
Skate footwear presently represent 80-90 % of Atomic Garage's shoe sales, while couple of years back, Dr. Martens and Timberland drove the retailer's footwear business.
Like many retailers, Miyoshi pointed to Airwalk since the trend's catalyst.
However, if Airwalk broadened its distribution to larger chains, which are frequently located in malls, only a few skate shoe customers adopted. Rather, many youthful males have switched for your skate shops for additional elusive brands like Etnies, Duffs, and Electricity Footwear by Circus. By refusing to market bigger retailers or sports stores, these brands are increasing their cachet among youthful consumers.
"Kids don't want stuff which have been within the shops,In . Miyoshi added.
Searching ahead, Miyoshi forecasted skate shoe sales will remain strong through spring '97 provided "the [hot] vendors don't auction other [non-particularly shop] retailers."
"Skaters and non-skaters are rebelling against mainstream retailers so on to surf and skate shops for many looks," echoed Mark Richards, co-online sources Val Surf, a 3-store chain situated in North Hollywood, Calif. Soaring sales of skate footwear have driven total footwear receipts up 25 percent this year rather of '95.
"The quantity of that increase might be connected while using exposure of maximum games? I am unsure. [Skate footwear] may also be actually the think about the moment,In . Richards acknowledged. And in relation to getting this right look, youthful customers can be very picky.
"Skateboard footwear is a huge category for people, but we're not able to own the brands, Etnies, Duffs, Electricity and Nice, simply because they won't sell us," stated Mark Anderson, buyer at Chick's Sports, a six-store chain in Covina, Calif. "We have people coming every single day requesting them." Consequently, skate footwear have consistently ongoing to obtain about 5 % of Chick's overall footwear business. http://skateszone.com/the-top-8-best-skateboards-for-beginners-reviews-2017/
Nonetheless, some outdoors, niche sports and sports retailers are noting the growing recognition and coverage of maximum sports will receive a modest impact on footwear sales. Trailrunning footwear and approach/outdoors crosstrainers will be the two groups benefiting the very best inside the recognition. Like the skate shoe business, some retailers realize that styling instead of function frequently drives sales of individuals footwear.
"At this time the merchandise is a lot more visual than function," stated Chet James, gm of Super Jock 'N Jill, Dallas, speaking about trailrunning footwear. Still, James noted the current hype over adventure sports helps draw more customer traffic. "The marketing campaigns and media help bring growing figures of people in, nonetheless they frequently occasions day an issue that increases results on their own account,Inch he conceded.
John Wilkinson, executive vp inside the 85-store chain Track 'N Trail, Eldorado Hillsides, Calif., stated the shop has "seen some activity in approach footwear," but he requested the amount of consumers depend in it commercially sport. And, instead of accelerating total footwear business, Wilkinson speculated elevated sales of approach footwear and trailrunners are gnawing away at traditional hiking shoe and boot volume.
But Dan Bazinet, president of Overland Exchanging, a 34-store chain situated in Westford, Mass., believes the company-new looks have breathed existence for the wilting hiking boot category. "[Approach-type footwear] don't represent the lion's participate the hiking market, nonetheless they have elevated the hiking business and provided us extra sales," Bazinet stated.
He designated Timberland's Treeline Series and Rockport's Leadville line as strong performers. Unsurprisingly, he noted the company-new looks are attractive to youthful consumer base than traditional hikers.
For that month of June, sales of men's hikers were up 49 percent at Overland, rather of June '95, while sales of women's hikers were up 17 % for that month. Bazinet also attributed elevated sales that shops walked inside the hiking business, departing that business for that specialists.
Some retailers draw a good example concerning the hiking boom of two yrs ago combined with the current extreme sport phenomenon. "Plenty of bigger chains will get a specific percent in the industry while [extreme] sports remain a fad because they are selling cost-point type gear," described Steven Carre, assistant hard goods buyer at Adventure 16, a six-store chain situated in Hillcrest.
"However individuals [true enthusiasts] will say `we need real gear' and may shown up at us. That will help us after a while. What Size Skateboard good for an 3 4 5 6 7 8 9 10 11 12 13 14 year old
…
tura digital en corte Láser, corte CNC, impresión 3d, y modelado paramétrico.
Este tercer taller enseña los fundamentos del modelado paramétrico y algunas bases de manufactura digital.
PERFIL DEL ALUMNO QUE INGRESA:
Diseñador, Arquitecto, Artista con conocimientos de Rhinoceros interesados en comenza a modelar paramétrico con Grasshopper para fabricación digital básica.
PERFIL DEL ALUMNO QUE EGRESA:
El alumno terminará con los conocimientos y criterios para el desarrollo de piezas o proyectos utilizando fabricación digital, mejorando y agilizando los flujos de trabajo, así como los criterios fundamentales del Modelado Paramétrico -Generativo.
Taller de modelado paramétrico con Grasshopper
Interfase
Manejo de Datos
Data Volátil
Data Persistente
Rangos y dominios
Atractores
Listas y Cull
Modelado por Layer Object
Análisis Básicos
Conexión de Curvas
Superficies
Análisis de Superficies
Panelización Básica
Relaciones con Excel
Modelado generativo
Fechas: del 8 de Febrero al 1º de Marzo
Días: Sábado
Horarios: de 10 am a 3 pm
Sesiones: 4 de 5hrs
Duración: 20 horas
Precio: $3,000.00…
difference consists of.
An Evolutionary Solver/Genetic Algorithm is an implementation of Metaheuristics. Metaheuristics tend to be flexible solvers, applicable to a wide variety of problems, fairly easy to implement, but slow. Other examples of Metaheuristic algorithms would be Random Search, Scatter Search, Simulated Annealing and do on. These algorithms are often modelled on physical or biological processes.
Simulated Annealing for example simulates the physical process of annealing (who'd have thunk it), which is basically the slow cooling of a material which allows it to settle into a crystalline lattice, i.e. a low energy distribution of all the atoms. I'm currently adding an SA solver to Galapagos, and in fact just yesterday managed to get the first successful run: http://www.youtube.com/watch?v=VWtYLv-4oP0
Metaheuristics are especially useful for those cases where little is known about the problem ahead of time. If the problem search-space is mathematically well defined (differentiable, especially), then you can use more targeted algorithms such as the Newton-Raphson method, Pareto-search or Uphill search. You can still use these methods on non-differentiable search-spaces, but it involves sampling the local region to death to get an estimate of the differential. This can be a very costly enterprise, especially in high dimensional search-spaces. In a two-dimensional search-space you'll need 3 to get a lame estimate and 4 to get a halfway decent estimate and 8 to get a good estimate. In three-dimensional search space you already need 26 samples, and the number of samples grows exponentially with higher dimensions.
If you have a specific problem you're trying to solve, Metaheuristics are probably not the best solution, even though they may be easiest to program. Rhino uses something akin to Newton-Raphson for certain problems and that's fast enough to run in real-time.
Divide-and-Conquer algorithms are also quite popular. Sometimes they are called Binary-Search or Tree-Search algorithms as well. Their basic premise is to sample the search-space at a few intervals (but enough to capture the needed detail), then find two neighbours with promising values and sample again in between these two. Then repeat. Each new iteration typically doubles accuracy, which is great because then you only need ~30 ~40 iterations to get an answer as good as possible with double-precision floating point accuracy. However not all problems lend themselves well to this sort of search and in higher dimensions it starts getting slow with disconcerting alacrity.
--
David Rutten
david@mcneel.com
Poprad, Slovakia…
Added by David Rutten at 1:54am on August 15, 2011
user to understand. RhinoScript is a generally more straightforward and easy to use. You can think of it as a translation of RhinoCommon so that you don't have to write all the technical stuff.
In your first line you've said "import rhinoscriptsyntax as rs". To see the methods you can call from this library you can go to the help menu and choose 'Help for Rhinoscript'. It will show you a searchable window of all the the options you have. This is much easier for new users to learn than looking at the RhinoCommon SDK.
If you search the help file for 'BoundingBox' you'll get the screen capture below:
At the bottom you can see an example of how to use it. In your case you would replace the following lines:
2/ boxA=brepA.GetBoundingBox((0,0,0,)) --> boxA = rs.BoundingBox(brepA)
3/ boxB=brepB.GetBoundingBox((0,0,0,)) --> boxB = rs.BoundingBox(brepB)
The script you have written uses elements of both RhinoScript and RhinoCommonSDK. I would suggest you might start just using RhinoScript. See below, I have re-written the first 8 lines of your script using just RhinoScript:
import rhinoscriptsyntax as rs
#Get BoundingBox from breps.BoundingBoxA = rs.BoundingBox(brepA) #Returns list of eight corner points.BoundingBoxB = rs.BoundingBox(brepB)
#Get centre point of RhinoScript BoundingBox (which is a list of eight points).boxA = rs.AddBox(BoundingBoxA) #Generate box from corner pointsptA = rs.SurfaceVolumeCentroid(boxA) #Get Volumetric Centroid of boxboxB = rs.AddBox(BoundingBoxB) ptB = rs.SurfaceVolumeCentroid(boxB)
For reference the following will achieve the same thing using RhinoCommon, fewer lines, but more technical. There are a few other quirks as well, for example you have to explictly tell the python component what kind of object 'brepA' is. See below for example of same script in RhinoCommon:
import Rhino as rh
centerPtA = brepA.GetBoundingBox(rh.Geometry.Plane.WorldXY).CentercenterPtB = brepB.GetBoundingBox(rh.Geometry.Plane.WorldXY).Center
I'm not sure what you are trying to achieve overall and your loop doesn't make a lot of sense to me but I hope that clarifies some of the differences between the two libraries you can use.
Regards,
M…
own use and added the command line port LPT1 port dump.
I found a couple of strange things in your code:
# Changes the model units to inches, but does not scale model.rs.UnitSystem(unit_system=8, scale=False)
Why did you change the model units here? HPGL units are 40 per mm (which is also 1016 per inch) staying in mm units in your model will be fine if your step scaling in right.
And doing this seems strange for a cutting program:
allCurves = rs.ObjectsByType(4)for curve in allCurves: if (rs.CurveDegree(curve) == 2 or rs.CurveDegree(curve) == 3) and rs.IsPolyCurve(curve): rs.ExplodeCurves(curve, True)allCurves = rs.ObjectsByType(4)
Cutting usually needs a closed curve to produce a nice clean removable piece from the material. Your approach results in a bunch of line/curve segments instead of closed polycurves/polylines. As this simulation shows the 'O's and 'R' are cut as a collection of curve segments - not closed polycurves:
I just removed this step from the code.
As this simulation shows every part of the font is cut in one cut action - exactly what I needed:
I saw your RVB code on the RhinoScript site too - was way more detailed than I needed - my vinyl cutter only has one 'pen' - the cutting blade. I just needed a really basic way of getting polycurves into HPGL format and firing it out to a printer port.
Thanks for your help on this little project - I'm very stoked at the result! Let me know if I can help with your cutter project.
Cheers
DK…
t file** - ply file with just x,y,z locations. I got it from a 3d scanner. Here is how first few lines of file looks like - ply format ascii 1.0 comment VCGLIB generated element vertex 6183 property float x property float y property float z end_header -32.3271 -43.9859 11.5124 -32.0631 -43.983 11.4945 12.9266 -44.4913 28.2031 13.1701 -44.4918 28.2568 13.4138 -44.4892 28.2531 13.6581 -44.4834 28.1941 13.9012 -44.4851 28.2684 ... ... ... In case you need the data - please email me on **nisha.m234@gmail.com**. **Algorithm:** I am trying to find principal curvatures for extracting the ridges and valleys. The steps I am following is: 1. Take a point x 2. Find its k nearest neighbors. I used k from 3 to 20. 3. average the k nearest neighbors => gives (_x, _y, _z) 4. compute covariance matrix 5. Now I take eigen values and eigen vectors of this covariance matrix 6. I get u, v and n here from eigen vectors. u is a vector corresponding to largest eigen value v corresponding to 2nd largest n is 3rd smallest vector corresponding to smallest eigen value 7. Then for transforming the point(x,y,z) I compute matrix T T = [ui ] [u ] [x - _x] [vi ] = [v ] x [y - _y] [ni ] [n ] [z - _z] 8. for each i of the k nearest neighbors:<br> [ n1 ] [u1*u1 u1*v1 v1*v1] [ a ]<br> [ n2 ] = [u2*u2 u2*v2 v2*v2] [ b ] <br> [... ] [ ... ... ... ] [ c ] <br> [ nk ] [uk*uk uk*vk vk*vk]<br> Solve this for a, b and c with least squares 9. this equations will give me a,b,c 10. now I compute eigen values of matrix [a b b a ] 11. This will give me 2 eigen values. one is Kmin and another Kmax. **My Problem:** The output is no where close to finding the correct Ridges and Valleys. I am totally Stuck and frustrated. I am not sure where exactly I am getting it wrong. I think the normal's are not computed correctly. But I am not sure. I am very new to graphics programming and so this maths, normals, shaders go way above my head. Any help will be appreciated. **PLEASE PLEASE HELP!!** **Resources:** I am using Visual Studio 2010 + Eigen Library + ANN Library. **Other Options used** I tried using MeshLab. I used ball pivoting triangles remeshing in MeshLab and then applied the polkadot3d shader. If correctly identifies the ridges and valleys. But I am not able to code it. **My Function:** //the function outputs to ply file void getEigen() { int nPts; // actual number of data points ANNpointArray dataPts; // data points ANNpoint queryPt; // query point ANNidxArray nnIdx;// near neighbor indices ANNdistArray dists; // near neighbor distances ANNkd_tree* kdTree; // search structure //for k = 25 and esp = 2, seems to got few ridges queryPt = annAllocPt(dim); // allocate query point dataPts = annAllocPts(maxPts, dim); // allocate data points nnIdx = new ANNidx[k]; // allocate near neigh indices dists = new ANNdist[k]; // allocate near neighbor dists nPts = 0; // read data points ifstream dataStream; dataStream.open(inputFile, ios::in);// open data file dataIn = &dataStream; ifstream queryStream; queryStream.open("input/query.
pts", ios::in);// open data file queryIn = &queryStream; while (nPts < maxPts && readPt(*dataIn, dataPts[nPts])) nPts++; kdTree = new ANNkd_tree( // build search structure dataPts, // the data points nPts, // number of points dim); // dimension of space while (readPt(*queryIn, queryPt)) // read query points { kdTree->annkSearch( // search queryPt, // query point k, // number of near neighbors nnIdx, // nearest neighbors (returned) dists, // distance (returned) eps); // error bound double x = queryPt[0]; double y = queryPt[1]; double z = queryPt[2]; double _x = 0.0; double _y = 0.0; double _z = 0.0; #pragma region Compute covariance matrix for (int i = 0; i < k; i++) { _x += dataPts[nnIdx[i]][0]; _y += dataPts[nnIdx[i]][1]; _z += dataPts[nnIdx[i]][2]; } _x = _x/k; _y = _y/k; _z = _z/k; double A[3][3] = {0,0,0,0,0,0,0,0,0}; for (int i = 0; i < k; i++) { double X = dataPts[nnIdx[i]][0]; double Y = dataPts[nnIdx[i]][1]; double Z = dataPts[nnIdx[i]][2]; A[0][0] += (X-_x) * (X-_x); A[0][1] += (X-_x) * (Y-_y); A[0][2] += (X-_x) * (Z-_z); A[1][0] += (Y-_y) * (X-_x); A[1][1] += (Y-_y) * (Y-_y); A[1][2] += (Y-_y) * (Z-_z); A[2][0] += (Z-_z) * (X-_x); A[2][1] += (Z-_z) * (Y-_y); A[2][2] += (Z-_z) * (Z-_z); } MatrixXd C(3,3); C <<A[0][0]/k, A[0][1]/k, A[0][2]/k, A[1][0]/k, A[1][1]/k, A[1][2]/k, A[2][0]/k, A[2][1]/k, A[2][2]/k; #pragma endregion EigenSolver<MatrixXd> es(C); MatrixXd Eval = es.eigenvalues().real().asDiagonal(); MatrixXd Evec = es.eigenvectors().real(); MatrixXd u,v,n; double a = Eval.row(0).col(0).value(); double b = Eval.row(1).col(1).value(); double c = Eval.row(2).col(2).value(); #pragma region SET U V N if(a>b && a>c) { u = Evec.row(0); if(b>c) { v = Eval.row(1); n = Eval.row(2);} else { v = Eval.row(2); n = Eval.row(1);} } else if(b>a && b>c) { u = Evec.row(1); if(a>c) { v = Eval.row(0); n = Eval.row(2);} else { v = Eval.row(2); n = Eval.row(0);} } else { u = Eval.row(2); if(a>b) { v = Eval.row(0); n = Eval.row(1);} else { v = Eval.row(1); n = Eval.row(0);} } #pragma endregion MatrixXd O(3,3); O <<u, v, n; MatrixXd UV(k,3); VectorXd N(k,1); for( int i=0; i<k; i++) { double x = dataPts[nnIdx[i]][0];; double y = dataPts[nnIdx[i]][1];; double z = dataPts[nnIdx[i]][2];; MatrixXd X(3,1); X << x-_x, y-_y, z-_z; MatrixXd T = O * X; double ui = T.row(0).col(0).value(); double vi = T.row(1).col(0).value(); double ni = T.row(2).col(0).value(); UV.row(i) << ui * ui, ui * vi, vi * vi; N.row(i) << ni; } Vector3d S = UV.colPivHouseholderQr().solve(N); MatrixXd II(2,2); II << S.row(0).value(), S.row(1).value(), S.row(1).value(), S.row(2).value(); EigenSolver<MatrixXd> es2(II); MatrixXd Eval2 = es2.eigenvalues().real().asDiagonal(); MatrixXd Evec2 = es2.eigenvectors().real(); double kmin, kmax; if(Eval2.row(0).col(0).value() < Eval2.row(1).col(1).value()) { kmin = Eval2.row(0).col(0).value(); kmax = Eval2.row(1).col(1).value(); } else { kmax = Eval2.row(0).col(0).value(); kmin = Eval2.row(1).col(1).value(); } double thresh = 0.0020078; if (kmin < thresh && kmax > thresh ) cout << x << " " << y << " " << z << " " << 255 << " " << 0 << " " << 0 << endl; else cout << x << " " << y << " " << z << " " << 255 << " " << 255 << " " << 255 << endl; } delete [] nnIdx; delete [] dists; delete kdTree; annClose(); } Thanks, NISHA…
s, the participants will focus on the key advantages of Grasshopper’s capabilities through a range of design challenges in order to aid designers in both their drafting tasks and modelling capabilities.
The workshop covers many concepts such as Object Attributes/Parameters, Data Types, Data Structures, and Designing with Algorithms. Specifically, this course will focus on understanding both Lists and Data Trees, as well as the best practices for integrating Grasshopper into your Professional Design Workflow. The workshop offers guided curriculum and continuous support, based on in-depth and professional learning experiences.
Workshop outcomes:Teach the participants how to:-
+ be proficient in parametric logics learning the key benefits of parametric techniques in architecture design workflow (when to use it & how to use it)+ Correctly communicate with different 3D and BIM packages in order to keep the geometry clean and light while preserving all NURBS information.+ Develop architecture design based on mathematical equations to create non-standard free form building skin.+ Create a pattern that changes dynamically based on specific inputs which can be applied over the building façade, interior walls or ceiling or even floor pattern.+ Automate and Optimize design variables to achieve the optimum solution for the design problem.
Program Outline:
DAY 1:-Introduction to Parametric Design -Introduction to Grasshopper & Rhino (technical tools).
DAY 2:-Exploring the parametric workflow. -Setup the design algorithm & generating a list of data.
DAY 3:-Introducing the new ways of generating parametric curves and surfaces.-Parametric form generation in-dept
DAY 4:-Introducing Data Tree logic and parametric transformations.-Creating Associative techniques – Attractors (points, curves and vectors).
DAY 5:-Working with advanced form generation with dynamic pattern.-Parametric optimization based on environmental analysis -featuring the Performance-Driven Design possibilities
DURATION:6 – 8 hours per day [50 - 60 hours Total]Every Saturday [9.00 Am : 1.00 Pm & 2.30 Pm : 6.00 Pm]
PREREQUISITES:No need of any specific knowledge of Rhinoceros or Grasshopper.
REGISTRATION:In order to register, you will need to fill the Registration Form .https://docs.google.com/forms/d/1PckdW1hrWs9fJAHWBZlVsuhH8K0PfDuMWIpXHT_4FYw/viewform
REGISTRATION DEADLINE:23th October 2014.…
Added by ayman wagdy at 7:48am on October 19, 2014
hops, design sessions & symposia across 5 cities in India. We encourage all architecture & design students and professionals to join us in this novel experimentation event and aid in 'Filling The Void'; Void in Architecture, Void in our Cities, Void in Education. REGISTRATIONS ARE OPEN NOW.
rat[LAB] Computational Design Tour - INDIA
Agenda // Filling The Void
1 country // 5 cities // 1 agenda // 100+ students // 25+ professionals // 5 exhibitions // 1 publication
Void is typically defined as null, invalid, empty or redundant and has a psychological perception of a ‘negative’. Through years of development in India, there has been an organic urban growth and inorganic architectural growth which has led to formation of voids in a physical and a metaphorical sense. There also exist voids as gaps between architecture, cities, education and technology. ‘Filling The Void’ looks at void as an opportunity, potential and a driver of change for architecture & design education in India.
// Cities & Dates*
Mumbai – 22nd June to 24th June 2015 (Monday to Wednesday)
Chennai - 29th June to 1st July 2015 (Monday to Wednesday)
Bengaluru – 3rd July to 5th July 2015 (Friday to Sunday)
Chandigarh - 16th July to 18th July 2015 (Thursday to Saturday)
New Delhi – 6th August to 8th August 2015 (Thursday to Saturday)
*Venue details are published on rat[LAB] website.
// Registration Dates
// Early-bird Registrations Open: 08 May 2015
// EXTENDED Early-bird registrations End: 05 June 2015
// General Registrations End: 15 June 2015 (Or till seats last)
…
that both the ASHRAE and European Adaptive models were derived from surveys of awake occupants. While the topic has not been investigated as well as it should be, the few adaptive-style surveys of sleeping occupants that have been conducted show that people tend to desire significantly cooler temperatures when they are sleeping as opposed to when they are awake.
Notably, Chapter 8 of Humphrey's recently-published book on Adaptive Comfort (https://books.google.com/books?id=lOZzCgAAQBAJ&printsec=frontcover&dq=Adaptive+Thermal+Comfort+Foundations+and+analysis&hl=en&sa=X&ved=0ahUKEwi6npqSi__KAhUJMj4KHf7SCXMQ6AEIKjAA#v=onepage&q=Adaptive%20Thermal%20Comfort%20Foundations%20and%20analysis&f=false) provides some interesting insights into this. In a 1973 survey, Humphreys found that the quality of sleep started to deteriorate at temperatures above 24-26C regardless of the time of year and that there was no clearly-determinable lower limit to comfortable sleeping temperatures (in other words, people were fine at 12C if they were given enough blankets). He surveyed only British occupants who were sleeping in traditional beds with mattresses and a wide range of blankets. This is important because the nature of the findings is such that the comfort temperatures would be very different if the survey participants had been sleeping in a hammock or in closer contact with the ground (both popular practices for a number of cultures living in warmer climates). Traditional mattresses cut the ability to radiate body heat in half as compared to a standing human body and I would venture a guess that this is a big reason why much cooler temperatures are desired while sleeping on mattresses as opposed to standing awake/uptight.
So for your case, if you want to account for a time of the day that occupants are sleeping on mattresses, I would change the comfort temperature for this these hours down to 24C. Otherwise, if you are trying to show the comfortable hours of awake people in your space, your current 100% comfortable nighttime hours are a better estimate. I have also noticed that nighttime temperatures become comfortable in extreme weeks of hot/dry climates. This is what is happening in this extreme week simulation of Los Angeles' San Fernando Valley here:
https://www.youtube.com/watch?v=WJz1Eojph8E&index=3&list=PLruLh1AdY-Sj3ehUTSfKa1IHPSiuJU52A
I will put in the ability to set custom values for comfort temperatures into the Adaptive Comfort Recipe soon so that you can test out a 'sleeping comfort temperature' if you would like. I have created a github issue for it here:
https://github.com/mostaphaRoudsari/Honeybee/issues/486
I was not so convinced by Nicol's argument about humidity on those pages as I was when I saw the correlations of both operative temperature and effective temperature to surveyed comfort votes in real buildings. Humphreys shows these correlations on page 106 of the book I linked to above. Notably, the correlation of Effective Temperature to comfort votes (0.257) is slightly worse than the correlation of just Operative Temperature (0.265). In other words, trying to account for humidity actually weakened the predictive power of the metric. This difference in correlation is not so great as for me to discount an Adaptive comfort model based on Effective temperature (as deDear once proposed). However, the correlations of PMV (0.213) and SET (0.185) to comfort votes are so poor that I now use the PMV model only with great caution.
This reason for the decreased importance of humidity may be multi-faceted, whether it's Nicol's explanation or another. Still, the data suggests that we are probably better off ignoring humidity when forecasting comfort and should only consider it when evaluating conditions of extreme heat stress where people's primary loss of heat is through sweating.
-Chris…
s o alguna de sus partes con la máquina de control numérico de ControlMAD. La finalidad es entrar en contacto con las herramientas disponibles ( control numérico, corte por láser, brazo robótico, scanner 3D..) para construir formas y superficies de geometría compleja a partir del 3D del ordenador.
El curso se acompaña de visitas para conocer de primera mano el trabajo con estas herramientas digitales.Duración: 48 horas:Clases de 3D: Modelado con RHINO (16 horas) + GRASSHOPPER (8 horas) + Vray (4 horas)Proyecto personal tutorado y fabricado en su totalidad o en la parte más significativa con la máquina de control numéricoVisitas programadas:Taller de maquetas. Maquetas de arquitectura para estudios como Zaha Hadid o Moneo. Trabajan con láser y control numérico.Fundición Capa: han realizado esculturas para Dalí, Oteiza o Manolo Valdés entre otros. Trabajan con scanner 3D y brazo robótico.Pasarela sobre el Manzanares, de D. Perrault.…