Search Results - 分分快3最准高手助赢计划-『8TBH·COM』福利彩票开奖结果012期查询--2023年3月19日6时48分50秒.H5c2a3.5jexii16x-gov-hk

Group: Roadrunner: bsp; -Vehicle elements (3D objects and a component for custom vehicles; models from Google Warehouse) -Traffic Velocity Graphs, drawn on every trajectory curve (allow custom graphs drawn) -Traffic regulation elements (such as Traffic Lights and Stop Signals) and traffic density -Particle Systems on trajectory curves, just to manage the traffic regulations and avoid collisions based on security distances -Traffic Vehicle Animation Modes (Dots, Bounding Boxes or complex Meshes with attributes for final rendering (Giulio Piacentino´s Render Animation) -Vehicle Lights and Vehicle Sights, to make visual studies Team: -Sergio del Castillo Tello (Doctor No, lead programmer) -Everyone that wants to be involved, support.. these tools The development of Roadrunner is planned to take part within a Research Group Program at ETSAM (University of Architecture in Madrid); This forum group is created just to test the interest of the community, while we keep on developing (it is still being tested), probably we will share the whole thing in the future. Cheers! Traffic Cluster Scheme Traffic Elements Traffic Urban Systems Vehicle Elements Roadrunner - overview Roadrunner 0 Basics Roadrunner 1 Modes Roadrunner 2 Elements Roadrunner 3 Urban Systems…; Added by Doctor No at 2:10pm on August 27, 2014

Topic: What to Do If Your AC Blows Air but Doesn’t Cool the Room?: t the cooling just wasn’t happening. At first, I assumed the unit was broken beyond repair. But after checking the manual, I found out that this is one of the most common AC issues, and in many cases, it can be fixed with simple troubleshooting. Common Reasons Why an AC Doesn’t Cool Dirty air filter – Blocks airflow and reduces cooling efficiency. Low refrigerant level – If there’s a leak, the system won’t cool properly. Blocked condenser coils – Dust and debris prevent heat exchange. Wrong thermostat settings – The AC may be set to “fan only” mode. Poor insulation – Cold air escapes while hot air enters. Step-by-Step Troubleshooting 1. Check the Thermostat Settings The manual recommends verifying that the unit is set to “cool” mode and the temperature is lower than the room’s current temperature. Once, I had it set to “fan,” which explained why it wasn’t cooling. 2. Clean or Replace the Air Filter According to the manual, a clogged filter is the most frequent cause of weak cooling. I replaced mine, and airflow improved instantly. 3. Inspect and Clean Condenser Coils The manual explains that outdoor condenser coils should be free of dirt. I carefully cleaned mine with a soft brush, and the cooling power came back. 4. Check for Refrigerant Leaks The manual notes that low refrigerant levels require a professional. I noticed frost on the lines, which was a sign of a leak. After repair and refill, the AC worked perfectly again. 5. Improve Room Insulation Sometimes the AC isn’t the problem. The manual advises closing windows, doors, and blinds to keep cool air inside. Doing this made a noticeable difference. My Experience At first, I thought I needed a brand-new AC. But by following the manual — cleaning filters, checking settings, and maintaining the condenser — I solved the problem without expensive repairs. Since then, I clean the filters monthly and keep an eye on coil cleanliness. FAQ Why does my AC blow air but not cool? – Most often because of clogged filters, dirty coils, or low refrigerant. Can I fix this at home? – Yes, by following the manual: check thermostat settings, clean filters, and ensure proper airflow. When should I call a technician? – If the refrigerant is low or the AC still doesn’t cool after basic fixes.…; Added by Karl Mozaik to GeometryBin at 4:12am on September 27, 2025

Group: Space Syntax: to parametric design workflows. More information on syntactic design methodology: My PhD dissertation (see chapters 3 & 4) Designing with Space Syntax Syntactic Design Methodology For more information, videos, news and updates you can visit the following website. See a video demo-tutorial here. The plugin is available for download here: https://genesis-lab.dev/products/syntactic/ This plugin is completely compatible with SpiderWeb for Grasshopper and we hereby thank Richard Schaffranek for all we have learned from this extremely useful plugin. NEW VERSION WAS RELEASED ON JANUARY 25, 2015. See our newest results these publications: Voxel Graph Operators Voxel-Based Spatial Ergonomics Research Evaluating Spatial Configurations as to their [Adaptive] Reuse Potential UPDATE: Genesis Lab [webpage][website] is to modernize, open-source, and develop the toolkit starting in December 2021. Stay tuned for updates through my YouTube Channel and ResearchGate. …; Added by Pirouz Nourian at 3:02am on August 13, 2013

Blog Post: Aether – simple speedy spatial fields for Grasshopper

Added by Daniel Piker at 7:25am on December 16, 2014

Topic: Curves in GhPython in Grasshopper: command to select the curves, but I'm not able to control the resultant form afterwards in Grasshopper to create Pframes or array a geometry on the surface. My script: import rhinoscriptsyntax as rs import Rhino import scriptcontext as sc sc.doc = Rhino.RhinoDoc.ActiveDoc class TanLines: def __init__(self, _curve, _numOfDivs): self.curve = _curve; self.numOfDivs = _numOfDivs def tanPoints(self,strength): #print("check") doms = rs.CurveDomain(self.curve) minDom = doms[0] maxDom = doms[1] ptList = [] tanPtList = [] for i in range (0, self.numOfDivs + 1): param = (maxDom-minDom)/self.numOfDivs * i tan = rs.CurveTangent(self.curve, param) tan = rs.VectorScale(tan, strength) pt = rs.EvaluateCurve(self.curve, param) rs.AddPoint(tan) rs.AddPoint(pt) tanPt = rs.VectorAdd(tan, pt) rs.AddLine(pt, tanPt) ptList.append(pt) tanPtList.append(tanPt) return [ptList, tanPtList] curve01 = rs.GetObject("pick curve 1", 4) curve02 = rs.GetObject("pick curve 2", 4) curve03 = rs.GetObject("pick curve 3", 4) 　 obj01 = TanLines(curve01,50) data01 = obj01.tanPoints(-0.1) obj02 = TanLines(curve02,50) data02 = obj02.tanPoints(-0.1) obj03 = TanLines(curve03,50) data03 = obj03.tanPoints(-0.1) 　 ptList01 = data01[0] #point list of first line ptList02 = data01[1] #tan points of first line ptList03 = data02[0] ptList04 = data02[1] ptList05 = data03[0] ptList06 = data03[1] 　 count = 0 crvList = [] #establish list of curves 　 for i in ptList01: pointsForCurve = [ ptList01[count], ptList02[count], ptList03[count], ptList04[count], ptList05[count], ptList06[count] ] crv=rs.AddArc3Pt(ptList01[count], ptList06[count], ptList04[count]) crvList.append(crv) count += 1 Surface = rs.AddLoftSrf (crvList) sc.doc = ghdoc A = Surface B = crvList C = [curve01, curve03] - Any help would be much appreciated. Thank you.…; Added by Francis McCloskey at 8:13am on December 15, 2014

Topic: Ladybug Solar Water Heating components released !: option, after downloading check if .ghuser files are blocked (right click -> "Properties" and select "Unblock"). Then paste them in File->Special Folders->User Object Folder. You can download the example files from here. They act in similar way, Ladybug Photovoltaics components do: we pick a surface, and get an answer to a question: "How much thermal energy, for a certain number of persons can my roof, building facade... generate if I would populate them with Solar Water Heating collectors"? This information can then be used to cover domestic hot water, space heating or space cooling loads: Components enable setting specific details of the system, or using simplified ones. They cover analysis of domestic hot water load, final performance of the SWH system, its embodied energy, energy value, consumption, emissions... And finding optimal system and storage size. By Dr. Chengchu Yan and Djordje Spasic, with invaluable support of Dr. Willian Beckman, Dr. Jason M. Keith, Jeff Maguire, Nicolas DiOrio, Niraj Palsule, Sargon George Ishaya and Craig Christensen. Hope you will enjoy using the components! References: 1) Calculation of delivered energy: Solar Engineering of Thermal Processes, John Wiley and Sons, J. Duffie, W. Beckman, 4th ed., 2013. Technical Manual for the SAM Solar Water Heating Model, NREL, N. DiOrio, C. Christensen, J. Burch, A. Dobos, 2014. A simplified method for optimal design of solar water heating systems based on life-cycle energy analysis, Renewable Energy journal, Yan, Wang, Ma, Shi, Vol 74, Feb 2015 2) Domestic hot water load: Modeling patterns of hot water use in households, Ernest Orlando Lawrence Berkeley National Laboratory; Lutz, Liu, McMahon, Dunham, Shown, McGrue; Nov 1996. ASHRAE 2003 Applications Handbook (SI), Chapter 49, Service water heating 3) Mains water temperature Residential alternative calculation method reference manual, California energy commission, June 2013. Development of an Energy Savings Benchmark for All Residential End-Uses, NREL, August 2004. Solar water heating project analysis chapter, Minister of Natural Resources Canada, 2004. 4) Pipe diameters and pump power: Planning & Installing Solar Thermal Systems, Earthscan, 2nd edition 5) Sun postion and POA irradiance, the same as for Ladybug Photovoltaics (Michalsky (1988), diffuse irradiance by Perez (1990), ground reflected irradiance by Liu, Jordan (1963)) 6) Optimal system and storage tank size: A simplified method for optimal design of solar water heating systems based on life-cycle energy analysis, Renewable Energy journal, Yan, Wang, Ma, Shi, Vol 74, Feb 2015.…; Added by djordje to Ladybug Tools at 8:05am on December 8, 2015

Blog Post: Generative Performative Modeling via Grasshopper Ecotect through Geco: Added by to] at 6:26am on July 16, 2010

Blog Post: FORM FINDING STRATEGIES WORKSHOP | MILANO DICEMBRE 2015: FORM FINDING STRATEGIES WORKSHOP

strategie di form finding per l’architettura ed il…; Added by Arturo Tedeschi at 9:30am on October 24, 2015

Blog Post: GH-Excel Suite v0-05

A new update to the Excel-Grasshopper Suite is available for download at:…

Added by David Mans at 8:41pm on September 20, 2011

Group: Inference Lab: utput. A typical parametric analysis involves either toggling input parameters while observing an output response in a cyclic trial and error feedback loop, or by adopting an optimisation approach to search for the 'best' output value based on some target of interest (e.g. in parametric simulation analysis studies). Either-way, it remains cognitively difficult to keep track of input-output relationships, especially in multi-input parameter scenarios. Furthermore, optimisation outcomes are one-off outcomes that do not provide insight into the underlying input-output causality that is responsible for generating the output in the first place. As a result, it becomes challenging to control the computational workflow intuitively. Inference Lab is a plug-in that overcomes such challenges by introducing bi-directionality between inputs and outputs, within Grasshopper. In other words, Inference Lab facilitates both forward and inverse computations. An inverse computation implies the ability to set a target output value of interest and instantly reveal the input distributions that are likely to cause the set target. This facilitates an instant cross-section of the input-output mapping. Inference Lab enables interaction with the input and output distributions to explore the cause and effect bi-directionally. The following demo video illustrates the potential of Inference Lab for a structural design scenario. Given a typical parametric FEA simulation set up, Inference Lab was used to identify 1) how the design parameters influence the maximum deflection and the weight of the cantilever truss structure, and 2) identify the parameter ranges that satisfy specified targets on max deflection and weight. Under the hood, Inference Lab builds a statistical representation of the input-output workflow from data that is generated automatically from the parametric definition within Grasshopper. The statistical representation takes advantage of a marriage between machine learning and Bayesian inference (a classic technique from probability theory). More literature about the research underlying Inference Lab can be found here. Inference Lab is presently composed of four main components: 1) PSlider, 2)POutput, 3)DataGenerator, 4)Model Builder. Notes: Inference Lab is a by-product of my very recent PhD work so please forgive me for the lack of information. I intend to update this page with structured tutorials explaining the potential of Inference Lab in various scenarios. The Inference Lab plug-in is not yet available for download as I am in the process of ironing out a few minor issues. I hope to share an alpha version very soon. …; Added by Zack Xuereb Conti at 6:04pm on May 17, 2020