Search Results - 力曼缺點諮詢:🍟line:sammibaby🍟瘦身鍛煉飲食🏭减肥運動時間幾點合適🚤產後肥胖如何正確减肥⛺池上乡教你如何用桑葉减肥📢澎湖縣飯前吃蘋果瘦身🚺不反彈的瘦身减肥方法👰🏻‍力曼詐騙

Topic: Background to Embryo: ve a revised date just yet but hopefully it should not be too long. Thank you all for joining the group however, it's nice to know there is some interest for the project and I hope you will forgive me for delaying the release date $:) I would like to give a little background as to why I started this group and how the Embryo concept for grasshopper initially came about. The short version is probably best stated in mine and Sam Joyce's abstract for our “Thinking Topologically at Early Stage Parametric Design” paper (preprint) published at the recent Advances in Architectural Geometry (AAG) conference: "Parametric modelling tools have allowed architects and engineers to explore complex geometries with relative ease at the early stage of the design process. Building designs are commonly created by authoring a visual graph representation that generates building geometry in model space. Once a graph is constructed, design exploration can occur by adjusting metric sliders either manually or automatically using optimization algorithms in combination with multi-objective performance criteria. In addition, qualitative aspects such as visual and social concerns may be included in the search process. The authors propose that whilst this way of working has many benefits if the building type is already known, the inflexibility of the graph representation and its top-down method of generation are not well suited to the conceptual design stage where the search space is large and constraints and objectives are often poorly defined. In response, this paper suggests possible ways of liberating parametric modelling tools by allowing changes in the graph topology to occur as well as the metric parameters during building design and optimisation." Put simply, coding, generative modelling, scripting, etc... all encourage us to lay down design intent at a very early stage, and that intent can then be very hard to escape from if we still wish to indulge in the kind of broad design exploration that the concept stage requires. The inherent inflexibility of programming languages, be they visually represented as a graphs for example or just as pure code is well known by programmers. Good modular structuring of code or neat graph (network) representations can help mitigate and facilitate change, but essentially in an architectural design context the topology of a grasshopper network can be hard to break free from once laid down on the canvas top-down. We can often reach a position at concept stage whereby design exploration takes place with slider variables on only one or at best a few associative models before we really know what our intentions are. This occurs not least because concept stage is when we have the least amount of time to make adjustments ... making 100 different associative models is not a realistic possibility! Image showing a variety of massing models at the early stages of a tower project. Most require a separate associative model (topological representation) be made if created in grasshopper, even if sliders allow certain metric freedoms. In terms of architectural computing, this topology problem was acknowledged back in 2001 by Manual DeLanda in his paper: “Deleuze and the Use of the Genetic Algorithm in Architecture“. He asks designers to think not just in terms of metric sliders, but also think topologically about the ‘body-plan’ of a design if manual or automated search algorithms (not just GAs) are to be used not just to solve explicit problems but also to generate novel and surprising designs by using a computational approach. Eleven years on, this paper is especially relevant today because of the following developments: 1. Decision support tools are becoming better integrated and are moving earlier and earlier in the design process. One only has to look at the variety of analysis components available that either David has created in grasshopper himself or exist as third-party components that give designers more and more quantitative feedback on building performance at the early stage. The availability of such components is only likely to increase in the coming years. 2. Solvers are becoming available to the masses. Before, one had to program their own search code or at least know how to import and implement the appropriate libraries. The release of Galapagos was an important moment in architectural design in that knowledge of coding was no longer necessary for designers wishing to engage in hands off search processes, just an ability to understand a visual programming graph based interface such as grasshopper. Multi-objective solvers are just around the corner. Due to all of the above, I started to wonder if anyone had thought about opening up the structure of the graph to be automated (not crafted explicitly top-down) so that a design's ‘body-plan’ could be open to change as De Landa argues is necessary in a healthy design search. Inspired by Dawkin’s Biomorphs, this could potentially allow the automatic exploration of different building typologies that are represented by different graph structures and not just variables, as required in the above tower design example. The Stream Gate Component hooked up to Galapagos. The stream gate component makes a claim for this. Theoretically a numerical slider (which may or may not be associated with Galapagos) can be hooked up in order to explore different network paths. However there is a catch as each avenue must still be explicitly laid down by the designer and hence realistically only a small number of alternative options can be explored unless again you have time to lay down many different potential networks. Instead, you may wish to let go completely and allow the machine to create visual graph structures (or programs) automatically... perhaps ones that can go beyond human cognition (this is a direction that I hope to explore with Embryo). In opening up the automatic generation of graphs, one has to look at a higher level of abstraction for controlling the process... there is always human involvement somewhere. Such a strategy takes inspiration from the field of Genetic Programming (GP), pioneered by John Koza in the 1990s. In standard GP, computer code is generated automatically, initially represented as LISP tree structures but has now coincidently been applied to directed acyclic graphs (the type used in grasshopper), even allowing graph structures and their components to have a bit string representation. This field is called Cartesian Genetic Programming. Bloat issues are a well-known problem with GP and Embryo will have to tackle these. The beauty of using grasshopper to play out such an approach however is that geometric primitives are already present in the software, as well as their instantiation methods in the compiled component (unlike GC for example). Custom components can be utilised in a similar manner to the functions in CGP. So anyway, I hope this gives some background to the project. Some of the other major influences that I haven't crammed into in this short introduction (but will no doubt bring up at some point) are the following: Shape grammars Evolutionary Development (Evo-Devo) Morphogenesis Lindenmayer Systems (particularly the work of Paul Coates) Artifical Embryogenesis With regards the last point, the name Embryo actually comes from Lewis Wolpert’s book ‘The Triumph of the Embryo’ that has had a big influence on my thinking and although slightly out of date, I urge a read if you have not discovered this book already. So I hope this can be a place for general discussions about alternative graph manipulation methods as well as the place to discuss Embryo. I'm also excited about the potential of hooking up Embryo to Rabbit, SPM Vector Components, Hoopsnake, Kangaroo etc... but that is all way off in the future! Finally, here is a sneak preview of a very simple example of one of the Embryo components - in this case generating some small graph structures with only a few 'ingredient' components on a blank child canvas: Embryo - (Very) Simple example from john harding on Vimeo. …; Added by John Harding to Embryo at 10:36am on October 22, 2012

Topic: Ladybug Photovoltaics components released !: nts for Ladybug too. They are based on PVWatts v1 online calculator, supporting crystalline silicon fixed tilt photovoltaics. You can download them from here, or use the Update Ladbybug component instead. If you take the first option, after downloading check if .ghuser files are blocked (right click -> "Properties" and select "Unblock"). You can download the example files from here. Video tutorials will follow in the coming period. In the very essence these components help you answer the question: "How much energy can my roof, building facade, solar parking... generate if I would populate them with PV panels"? They allow definition of different types of losses (snow, age, shading...) which may affect your PV system: And can find its optimal tilt and orientation: Or analyse its performance, energy value, consumption, emissions... By Djordje Spasic and Jason Sensibaugh, with invaluable support of Dr. Frank Vignola, Dr. Jason M. Keith, Paul Gilman, Chris Mackey, Mostapha Sadeghipour Roudsari, Niraj Palsule, Joseph Cunningham and Christopher Weiss. Thank you for reading, and hope you will enjoy using the components! EDIT: From march 27 2017, Ladybug Photovoltaics components support thin-film modules as well. References: 1) System losses: PVWatts v5 Manual, Dobos, NREL, 2014 2) Sun postion equations by Michalsky (1988): SAM Photovoltaic Model Technical Reference, Gilman, NREL, 2014 edited by Jason Sensibaugh 3) Angle of incidence for fixed arrays: PVWatts Version 1 Technical Reference, Dobos, NREL, 2013 4) Plane-of-Array diffuse irradiance by Perez 1990 algorithm: PVPMC Sandia National Laboratories SAM Photovoltaic Model Technical Reference, Gilman, NREL, 2014 5) Sandia PV Array Performance Module Cover: PVWatts Version 1 Technical Reference, Dobos, NREL, 2013 6) Sandia Thermal Model, Module Temperature and Cell Temperature Models: Photovoltaic Array Performance Model, King, Boys, Kratochvill, Sandia National Laboratories, 2004 7) CEC Module Model: Maximum power voltage and Maximum power current from: Exact analytical solutions of the parameters of real solar cells using Lambert W-function, Jain, Kapoor, Solar Energy Materials and Solar Cells, V81 2004, P269–277 8) PVFORM version 3.3 adapted Module and Inverter Models: PVWatts Version 1 Technical Reference, Dobos, NREL, 2013 9) Sunpath diagram shading: Using sun path charts to estimate the effects of shading on PV arrays, Frank Vignola, University of Oregon, 2004 Instruction manual for the Solar Pathfinder, Solar Pathfinder TM, 2008 10) Tilt and orientation factor: Application for Purchased Systems Oregon Department of Energy solmetric.com 11) Photovoltaics performance metrics: Solar PV system performance assessment guideline, Honda, Lechner, Raju, Tolich, Mokri, San Jose state university, 2012 CACHE Modules on Energy in the Curriculum Solar Energy, Keith, Palsule, Mississippi State University Inventory of Carbon & Energy (ICE) Version 2.0, Hammond, Jones, SERT University of Bath, 2011 The Energy Return on Energy Investment (EROI) of Photovoltaics: Methodology and Comparisons with Fossil Fuel Life Cycles, Raugei, Fullana-i-Palmer, Fthenakis, Elsevier Vol 45, Jun 2012 12) Calculating albedo: Metenorm 6 Handbook part II: Theory, Meteotest 2007 13) Magnetic declination: Geomag 0.9.2015, Christopher Weiss…; Added by djordje to Ladybug Tools at 2:04pm on June 15, 2015

Topic: Industrial Gearboxes: Driving Efficiency in Heavy Machinery and Systems: in ensuring the smooth operation of various industrial applications, from manufacturing plants to construction sites and beyond. In the intricate dance of gears and shafts, industrial gearboxes translate the power from motors and engines into the precise movements required for specific tasks. Picture a massive crane lifting tons of materials effortlessly or a conveyor belt seamlessly transporting goods along a production line. Behind each of these feats lies the dependable performance of industrial gearboxes. Beyond their mechanical prowess, industrial gearboxes are the unsung champions of efficiency and productivity. By efficiently transferring power and torque, they enable machinery to operate at optimal levels, minimizing energy wastage and maximizing output. This translates to cost savings for businesses and smoother operations that meet the demands of today's fast-paced industrial landscape. Understanding the Importance of Industrial Gearboxes in Heavy Machinery Industrial gearboxes serve as the backbone of numerous industries, including manufacturing, construction, and transportation, where heavy machinery operates tirelessly to meet demanding production schedules and project deadlines. In these sectors, the smooth functioning of machinery relies heavily on the efficiency and reliability of industrial gearboxes. Within manufacturing plants, industrial gearboxes play a pivotal role in powering conveyor belts, assembly lines, and other critical equipment. They ensure seamless transmission of power and torque, enabling precise control over machinery operations. In construction sites, gearboxes are essential components of heavy-duty equipment like cranes, excavators, and bulldozers, facilitating the movement of heavy loads and the execution of complex tasks with precision. Enhanced transfer case solutions further optimize the performance of gearboxes, offering heightened efficiency and durability in demanding industrial and construction environments. Moreover, in the transportation sector, industrial gearboxes are integral to vehicles, trains, and ships, enabling smooth acceleration, deceleration, and gear shifting. Whether it's hauling goods across continents or transporting passengers safely, these gearboxes optimize engine performance and fuel efficiency, contributing to overall operational success. The key functions and features of industrial gearboxes are tailored to meet the specific demands of each industry. From providing multiple gear ratios for varying loads and speeds to ensuring smooth power transmission with minimal noise and vibration, these gearboxes are engineered to enhance efficiency and performance. Their robust construction and advanced lubrication systems ensure durability and longevity, minimizing downtime and maintenance costs for businesses. Benefits of Custom Gearboxes for Specific Applications: When it comes to heavy machinery and systems, the one-size-fits-all approach often falls short of delivering optimal performance. This is where custom gearboxes step in, offering tailored solutions that perfectly match the unique requirements of specific applications. Custom gearboxes are designed and engineered with precision to seamlessly integrate into machinery and systems, ensuring optimal performance and efficiency. Unlike off-the-shelf solutions, which may lack the precision and customization needed for complex applications, custom gearboxes are built to exact specifications, guaranteeing a perfect fit. One of the key advantages of custom gearboxes is their ability to enhance reliability. By being specifically engineered for the intended application, custom gearboxes minimize the risk of breakdowns and failures, ultimately leading to increased uptime and productivity. Moreover, custom gearboxes are renowned for their superior precision. Every component is meticulously crafted to meet the exact requirements of the machinery, resulting in smoother operation and more accurate performance. This precision not only improves overall efficiency but also reduces wear and tear, prolonging the lifespan of the equipment. In addition to reliability and precision, custom gearboxes offer unmatched flexibility. Manufacturers have the freedom to choose the materials, gearing ratios, and other specifications that best suit their needs, ensuring optimal performance in any operating conditions. This flexibility allows for greater customization and adaptability, enabling machinery to perform at its peak, even in the most demanding environments. Choosing the Right Gearbox Manufacturer: When it comes to selecting the perfect gearbox manufacturer for your industrial needs, it's essential to make an informed decision. Here are some valuable tips to guide you through the process: First and foremost, prioritize reliability and quality. Look for a gearbox manufacturer with a solid reputation for delivering high-quality products that stand the test of time. Seek out reviews and testimonials from other businesses within your industry to gauge their satisfaction levels. Experience and expertise are paramount. Opt for a manufacturer with years of proven experience in designing and producing gearboxes for various applications. A seasoned manufacturer is more likely to understand the intricacies of different machinery and provide tailored solutions to meet your specific requirements. Customization capabilities are another crucial factor to consider, especially in industrial gearbox applications. Every industrial setup is unique, and having the flexibility to customize gearboxes according to your exact specifications can make a significant difference in performance and efficiency. Choose a manufacturer that offers customizable options to ensure compatibility with your machinery. Additionally, assess the manufacturer's support services. A reliable manufacturer should offer comprehensive support throughout the entire lifecycle of your gearbox, including installation assistance, maintenance guidance, and prompt customer service in case of any issues or queries. By following these tips and considering factors such as experience, expertise, customization capabilities, and support services, you can confidently select a reputable gearbox manufacturer that meets your needs and helps drive efficiency in your heavy machinery and systems. Emerging Trends in Industrial Gearboxes In the dynamic landscape of industrial machinery, constant innovation drives progress. Recent years have seen remarkable advancements in industrial gearbox technology, ushering in a new era of efficiency and performance. One notable trend is the integration of Internet of Things (IoT) technology, which enables real-time monitoring and data analysis of gearbox operations. By harnessing IoT capabilities, manufacturers can gain valuable insights into gearbox performance, anticipate potential issues, and optimize maintenance schedules, thus minimizing downtime and maximizing productivity. Another significant trend is the adoption of predictive maintenance strategies in gearbox maintenance regimes. By leveraging data analytics and machine learning algorithms, predictive maintenance enables proactive identification of potential faults or wear in gearboxes, allowing for timely interventions and preventing costly breakdowns. This shift from reactive to proactive maintenance approaches not only enhances reliability but also extends the lifespan of gearbox components, ultimately reducing operational costs. Furthermore, energy efficiency has emerged as a key focus area in gearbox design and manufacturing. With growing concerns about environmental sustainability and energy consumption, gearbox manufacturers are prioritizing the development of energy-efficient solutions. This includes the use of advanced materials, precision engineering, and innovative lubrication techniques to minimize frictional losses and maximize power transmission efficiency. By adopting energy-efficient gearboxes, industries can reduce their carbon footprint and achieve significant cost savings over the long term. Conclusion: In conclusion, staying abreast of these emerging trends in industrial gearbox technology is crucial for businesses seeking to optimize machinery performance and maintain a competitive edge in today's fast-paced market. By embracing innovations such as IoT integration, predictive maintenance, and energy efficiency enhancements, manufacturers can drive operational excellence, enhance reliability, and achieve greater sustainability in their operations. As technology continues to evolve, embracing these trends will be essential for staying ahead of the curve and unlocking new opportunities for growth and success.…; Added by Alice Billson to Karamba3D at 4:32am on February 27, 2024

Blog Post: rese arch GRASSHOPPER® Sessions: Added by Jan Pernecky at 9:03am on November 27, 2014

Comment on: Topic 'How to create a simple mouse responsive GH_Component': HelperAttribute class i have the following code: public override GH_ObjectResponse RespondToMouseDoubleClick(GH_Canvas sender, GH_CanvasMouseEvent e) { Rhino.RhinoApp.WriteLine("double click called\n"); if (robotBeam.Calc == true) { // new object Robot application RobotApplication robApp = null; for (int try_count = 0; try_count < 15; try_count++) { try { robApp =new RobotApplication(); if (robApp != null) break; } catch { robApp =null; System.Threading.Thread.Sleep(100); // Sleep for 1/10 second to allow Robot to wake up } } if (robApp == null) { System.Windows.Forms.MessageBox.Show("ERROR : Unable to open an instance of Robot\nRobot needs to be installed on your machine for this function to work"); return; } 　 //if Robot is not visible if (robotBeam.Visible == true) { //set robot visible and allow user interaction robApp.Visible = 1; robApp.Interactive = 1; } However in the scope if (robApp == null) I get an error: An object of type convertible to 'Grasshopper.GUI.Canvas.GH_ObjectResponse' is required on the line with the return statement. How can I fix this…; Added by Jesper Thøger Christensen at 2:25am on May 23, 2013

Comment on: Topic 'Writing a 3dm File using Visual Studio C#': then passed to the file3dm.Write() Method when it's used? Turns out it will work in the Visual Studio IDE perfectly well like this, Now I'm just sorting out the best way to create a surface. If I can ask one more question, what does file.Polish() do? using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; using Rhino.Geometry; using Rhino.FileIO; using Rhino.Collections; using Rhino; namespace NurbsExample { class Program { static void Main(string[] args) { string output = "C:/WorkingFileExample.3dm"; RunScript(output); } private static void RunScript(string path) { File3dm file = new File3dm(); file.Polish(); for (int j = 0; j<=10; j++) { file.Objects.AddLine(new Line(j, 0, 5 - j, 5 + j, 0, j)); } File3dmWriteOptions options = new File3dmWriteOptions(); options.SaveAnalysisMeshes = false; options.SaveRenderMeshes = false; options.SaveUserData = true; file.Write(path, options); } } }…; Added by Henry Jarvis at 6:33am on October 7, 2015

Comment on: Topic 'HoneyBee reports error with some Radiance parameters': The PC actually stops working because after a few seconds the simulation starts the fan inside the PC all of a sudden stops and for the next 5-10 mins I cannot do anything, even alt+ctrl+canc. After I wait for that time i get the followig error: the ReadMe says: {0;0;0}0. Grid-based Radiance simulation1. The component is checking ad, as, ar and aa values. This is just to make sure that the results are accurate enough.2. -ar is set to 300.3. Good to go!4. Current working directory is set to: C:\Users\Luigi\Desktop\Prova__\Prova_1\gridBasedSimulation\5. Found a trans material... Resetting st parameter from 0.85 to 0.011276004966. WMIC PROCESS get Commandline7. WMIC PROCESS get Commandline8. WMIC PROCESS get Commandline9. WMIC PROCESS get Commandline10. WMIC PROCESS get Commandline11. WMIC PROCESS get Commandline12. WMIC PROCESS get Commandline13. WMIC PROCESS get Commandline14. WMIC PROCESS get Commandline15. WMIC PROCESS get Commandline16. WMIC PROCESS get Commandline17. WMIC PROCESS get Commandline18. WMIC PROCESS get Commandline19. WMIC PROCESS get Commandline20. WMIC PROCESS get Commandline21. WMIC PROCESS get Commandline22. WMIC PROCESS get Commandline23. WMIC PROCESS get Commandline24. WMIC PROCESS get Commandline25. WMIC PROCESS get Commandline26. WMIC PROCESS get Commandline27. WMIC PROCESS get Commandline28. WMIC PROCESS get Commandline29. WMIC PROCESS get Commandline30. WMIC PROCESS get Commandline31. WMIC PROCESS get Commandline32. WMIC PROCESS get Commandline33. WMIC PROCESS get Commandline34. WMIC PROCESS get Commandline35. WMIC PROCESS get Commandline36. WMIC PROCESS get Commandline37. WMIC PROCESS get Commandline38. WMIC PROCESS get Commandline39. WMIC PROCESS get Commandline40. WMIC PROCESS get Commandline41. WMIC PROCESS get Commandline42. WMIC PROCESS get Commandline43. WMIC PROCESS get Commandline44. WMIC PROCESS get Commandline45. WMIC PROCESS get Commandline46. WMIC PROCESS get Commandline47. WMIC PROCESS get Commandline48. WMIC PROCESS get Commandline49. WMIC PROCESS get Commandline50. WMIC PROCESS get Commandline51. WMIC PROCESS get Commandline52. WMIC PROCESS get Commandline53. WMIC PROCESS get Commandline54. WMIC PROCESS get Commandline55. WMIC PROCESS get Commandline56. WMIC PROCESS get Commandline57. WMIC PROCESS get Commandline58. WMIC PROCESS get Commandline59. WMIC PROCESS get Commandline60. WMIC PROCESS get Commandline61. WMIC PROCESS get Commandline62. WMIC PROCESS get Commandline63. WMIC PROCESS get Commandline64. WMIC PROCESS get Commandline65. WMIC PROCESS get Commandline66. WMIC PROCESS get Commandline67. WMIC PROCESS get Commandline68. WMIC PROCESS get Commandline69. WMIC PROCESS get Commandline70. WMIC PROCESS get Commandline71. WMIC PROCESS get Commandline72. WMIC PROCESS get Commandline73. WMIC PROCESS get Commandline74. WMIC PROCESS get Commandline75. WMIC PROCESS get Commandline76. WMIC PROCESS get Commandline77. WMIC PROCESS get Commandline78. WMIC PROCESS get Commandline79. WMIC PROCESS get Commandline80. WMIC PROCESS get Commandline81. WMIC PROCESS get Commandline82. WMIC PROCESS get Commandline83. WMIC PROCESS get Commandline84. WMIC PROCESS get Commandline85. WMIC PROCESS get Commandline86. WMIC PROCESS get Commandline87. WMIC PROCESS get Commandline88. WMIC PROCESS get Commandline89. WMIC PROCESS get Commandline90. WMIC PROCESS get Commandline91. WMIC PROCESS get Commandline92. WMIC PROCESS get Commandline93. WMIC PROCESS get Commandline94. WMIC PROCESS get Commandline95. WMIC PROCESS get Commandline96. WMIC PROCESS get Commandline97. WMIC PROCESS get Commandline98. WMIC PROCESS get Commandline99. WMIC PROCESS get Commandline100. WMIC PROCESS get Commandline101. WMIC PROCESS get Commandline102. WMIC PROCESS get Commandline103. WMIC PROCESS get Commandline104. WMIC PROCESS get Commandline105. WMIC PROCESS get Commandline106. WMIC PROCESS get Commandline107. WMIC PROCESS get Commandline108. WMIC PROCESS get Commandline109. WMIC PROCESS get Commandline110. WMIC PROCESS get Commandline111. WMIC PROCESS get Commandline112. WMIC PROCESS get Commandline113. WMIC PROCESS get Commandline114. WMIC PROCESS get Commandline115. WMIC PROCESS get Commandline116. WMIC PROCESS get Commandline117. WMIC PROCESS get Commandline118. WMIC PROCESS get Commandline119. WMIC PROCESS get Commandline120. WMIC PROCESS get Commandline121. WMIC PROCESS get Commandline122. WMIC PROCESS get Commandline123. WMIC PROCESS get Commandline124. WMIC PROCESS get Commandline125. WMIC PROCESS get Commandline126. WMIC PROCESS get Commandline127. WMIC PROCESS get Commandline128. WMIC PROCESS get Commandline129. WMIC PROCESS get Commandline130. WMIC PROCESS get Commandline131. WMIC PROCESS get Commandline132. WMIC PROCESS get Commandline133. WMIC PROCESS get Commandline134. WMIC PROCESS get Commandline135. WMIC PROCESS get Commandline136. WMIC PROCESS get Commandline137. WMIC PROCESS get Commandline138. WMIC PROCESS get Commandline139. WMIC PROCESS get Commandline140. WMIC PROCESS get Commandline141. WMIC PROCESS get Commandline142. WMIC PROCESS get Commandline143. WMIC PROCESS get Commandline144. WMIC PROCESS get Commandline145. WMIC PROCESS get Commandline146. WMIC PROCESS get Commandline147. WMIC PROCESS get Commandline148. WMIC PROCESS get Commandline149. WMIC PROCESS get Commandline150. WMIC PROCESS get Commandline151. WMIC PROCESS get Commandline152. WMIC PROCESS get Commandline153. WMIC PROCESS get Commandline154. WMIC PROCESS get Commandline155. WMIC PROCESS get Commandline156. WMIC PROCESS get Commandline157. WMIC PROCESS get Commandline158. WMIC PROCESS get Commandline159. WMIC PROCESS get Commandline160. WMIC PROCESS get Commandline161. WMIC PROCESS get Commandline162. WMIC PROCESS get Commandline163. WMIC PROCESS get Commandline164. WMIC PROCESS get Commandline165. WMIC PROCESS get Commandline166. WMIC PROCESS get Commandline167. WMIC PROCESS get Commandline168. WMIC PROCESS get Commandline169. WMIC PROCESS get Commandline170. WMIC PROCESS get Commandline171. WMIC PROCESS get Commandline172. WMIC PROCESS get Commandline173. WMIC PROCESS get Commandline174. WMIC PROCESS get Commandline175. WMIC PROCESS get Commandline176. WMIC PROCESS get Commandline177. WMIC PROCESS get Commandline178. WMIC PROCESS get Commandline179. WMIC PROCESS get Commandline180. WMIC PROCESS get Commandline181. WMIC PROCESS get Commandline182. WMIC PROCESS get Commandline183. WMIC PROCESS get Commandline184. WMIC PROCESS get Commandline185. WMIC PROCESS get Commandline186. WMIC PROCESS get Commandline187. WMIC PROCESS get Commandline188. WMIC PROCESS get Commandline189. WMIC PROCESS get Commandline190. WMIC PROCESS get Commandline191. WMIC PROCESS get Commandline192. WMIC PROCESS get Commandline193. WMIC PROCESS get Commandline194. WMIC PROCESS get Commandline195. WMIC PROCESS get Commandline196. WMIC PROCESS get Commandline197. WMIC PROCESS get Commandline198. Runtime error (IndexOutOfRangeException): index out of range: 0199. Traceback: line 320, in script The thing is that if I raise the -aa parameter from 0.05 to 0.1 all works fine.. Is this only related to my PC then?? What should I do to solve this issue? Thanks again for your help Luigi…; Added by Luigi Giovannini to Ladybug Tools at 8:55am on December 20, 2015

Blog Post: Evolutionary Principles applied to Problem Solving: This blog post is a rough approximation of the lecture I gave at the AAG10 conference in Vienna on September 21st 2010. Naturally it will be quite a different experience as the medium is quite…; Added by David Rutten at 3:27pm on September 24, 2010

Topic: Road embankments and Cutt/Fill Volume: result and possibilities to change the axis 2D real time. Cut in yellow Fill in red Terrain in green Paramètre: Slope Cutt: Slope Fille: Change project: Re calcul: 3d result: Soon as possible if: Is it possible Jon?. Field cut at line intersections. Boolean Intersections then keeping only part way. Contour on the project (without land). Message origine: Bonjour,D'abord merci à jon de sa correction sur le code sdrsweepprofile.Voici les derniers screen shot de ma route paramétré.Les intersections et les volumes de déblais remblais se calcul automatiquement.Résultat graphique et possibilités de changer l'axe 2D en temps réel. Bientôt si possible:Est-ce possible jon ?.Terrain decoupé suivant ligne d'intersections.Puis Intersections booléennes en ne gardant que la partie route.Courbe de niveau sur le projet (sans terrain).…; Added by Rémy Maurcot at 8:25am on December 26, 2010

Blog Post: Exoskeleton + Cytoskeleton Components

Daniel Piker and I are excited to repackage an updated Exoskeleton…

Added by David Stasiuk at 8:23am on May 7, 2014

Search Results - 力曼缺點諮詢:🍟line:sammibaby🍟瘦身鍛煉飲食🏭减肥運動時間幾點合適🚤產後肥胖如何正確减肥⛺池上乡教你如何用桑葉减肥📢澎湖縣飯前吃蘋果瘦身🚺不反彈的瘦身减肥方法👰🏻‍力曼詐騙

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