Functional Programming for Business
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Is functional programming right for your business? In this talk, I get past the hype and gives you the straight dope.
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=======================================
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Process Parameter Optimization for Minimizing Springback in Cold Drawing Proc...Journal of Soft Computing in Civil Engineering In tube drawing process, a tube is pulled out through a die and a plug to reduce its diameter and thickness as per the requirement. Dimensional accuracy of cold drawn tubes plays a vital role in the further quality of end products and controlling rejection in manufacturing processes of these end products. Springback phenomenon is the elastic strain recovery after removal of forming loads, causes geometrical inaccuracies in drawn tubes. Further, this leads to difficulty in achieving close dimensional tolerances. In the present work springback of EN 8 D tube material is studied for various cold drawing parameters. The process parameters in this work include die semi-angle, land width and drawing speed. The experimentation is done using Taguchi’s L36 orthogonal array, and then optimization is done in data analysis software Minitab 17. The results of ANOVA shows that 15 degrees die semi-angle,5 mm land width and 6 m/min drawing speed yields least springback. Furthermore, optimization algorithms named Particle Swarm Optimization (PSO), Simulated Annealing (SA) and Genetic Algorithm (GA) are applied which shows that 15 degrees die semi-angle, 10 mm land width and 8 m/min drawing speed results in minimal springback with almost 10.5 % improvement. Finally, the results of experimentation are validated with Finite Element Analysis technique using ANSYS.
15th International Conference on Computer Science, Engineering and Applicatio...
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Level 1-Safety.pptx Presentation of Electrical Safety
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The Gaussian Process Modeling Module in UQLab
The Gaussian Process Modeling Module in UQLabJournal of Soft Computing in Civil Engineering We introduce the Gaussian process (GP) modeling module developed within the UQLab software framework. The novel design of the GP-module aims at providing seamless integration of GP modeling into any uncertainty quantification workflow, as well as a standalone surrogate modeling tool. We first briefly present the key mathematical tools on the basis of GP modeling (a.k.a. Kriging), as well as the associated theoretical and computational framework. We then provide an extensive overview of the available features of the software and demonstrate its flexibility and user-friendliness. Finally, we showcase the usage and the performance of the software on several applications borrowed from different fields of engineering. These include a basic surrogate of a well-known analytical benchmark function; a hierarchical Kriging example applied to wind turbine aero-servo-elastic simulations and a more complex geotechnical example that requires a non-stationary, user-defined correlation function. The GP-module, like the rest of the scientific code that is shipped with UQLab, is open source (BSD license).
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International Journal of Distributed and Parallel systems (IJDPS)
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Distributed and parallel systems is a bimonthly open access peer-reviewed journal aims to
publish high quality scientific papers arising from original research and development from
the international community in the areas of parallel and distributed systems. IJDPS serves
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ELectronics Boards & Product Testing_Shiju.pdf
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Development of MLR, ANN and ANFIS Models for Estimation of PCUs at Different ...
Development of MLR, ANN and ANFIS Models for Estimation of PCUs at Different ...Journal of Soft Computing in Civil Engineering Passenger car unit (PCU) of a vehicle type depends on vehicular characteristics, stream characteristics, roadway characteristics, environmental factors, climate conditions and control conditions. Keeping in view various factors affecting PCU, a model was developed taking a volume to capacity ratio and percentage share of particular vehicle type as independent parameters. A microscopic traffic simulation model VISSIM has been used in present study for generating traffic flow data which some time very difficult to obtain from field survey. A comparison study was carried out with the purpose of verifying when the adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN) and multiple linear regression (MLR) models are appropriate for prediction of PCUs of different vehicle types. From the results observed that ANFIS model estimates were closer to the corresponding simulated PCU values compared to MLR and ANN models. It is concluded that the ANFIS model showed greater potential in predicting PCUs from v/c ratio and proportional share for all type of vehicles whereas MLR and ANN models did not perform well.
Process Parameter Optimization for Minimizing Springback in Cold Drawing Proc...
Process Parameter Optimization for Minimizing Springback in Cold Drawing Proc...Journal of Soft Computing in Civil Engineering
Development of MLR, ANN and ANFIS Models for Estimation of PCUs at Different ...
Development of MLR, ANN and ANFIS Models for Estimation of PCUs at Different ...Journal of Soft Computing in Civil Engineering
Functional Programming for Business
- 4. Loosely related collection of concepts and techniques
- 5. Math
- 8. For the video and transcript of this presentation, click here: https://lispcast.com/functional-programming-for-business/
- 9. It’s all about the biz
- 10. Hiring
- 11. Relative number of programmers
- 12. Relative number of programmers
- 13. Is it harder to find functional programmers?
- 14. Is it harder to find good functional programmers?
- 15. Relative number of programmers
- 16. Relative number of programmers
- 17. Good programmers only matters for hard problems
- 18. Functional programmers are a little more expensive (on average) (citation needed)
- 19. But you need fewer to do the same work (citation needed)
- 20. Code Quality
- 21. # of bugs is correlated with lines of code (defect density)
- 22. Functional code is often significantly smaller (by orders of magnitude) (citation needed)
- 23. ∴ FP results in fewer bugs (citation needed)
- 24. Business Cases
- 25. Auditing
- 26. • Accounting • Banking • Medical records • Airplanes • Science
- 27. Mathematical
- 28. • Accounting • Banking • Finance • Science • Advertising • Web analytics
- 30. • Big Data • Realtime analytics • Communications • Banking
- 31. Hard Problems
- 32. FP sometimes succeeds where other methods have failed (citation needed)
- 33. http://bit.ly/FPSucceeds How to Use Real Computer Science in Your Day Job
- 36. GUIs
- 37. Summary
- 38. Hard Problems Smart People Sharp Tools
- 39. Eric Normand Follow Eric on: Eric Normand @EricNormand [email protected]