17
•Download as PPT, PDF•
0 likes•293 views
The document discusses using mathematical functions to model relationships between input and output variables in a rolling simulation. A linear model was found to accurately predict central height from thickness reduction with less than 1% error. A quadratic model also accurately predicted spread from thickness reduction with less than 1% error. Friction was found to not significantly affect central height, and a quadratic model described the relationship between spread and friction with under 1% error. Further modeling of additional variables is suggested.
Report
Share
Report
Share
Recommended
Obj. 39 Composite Figures
The document discusses finding the area of composite figures, which are shapes made up of simple shapes like triangles, rectangles, trapezoids, and circles. To find the area of a composite figure, you divide it into its simple shapes, find the area of each shape, and add or subtract the areas together. It provides examples of calculating the areas of different composite figures by breaking them into triangles, squares, circles and other basic shapes and combining those areas.
AutoCAD Lesson coordinate system
2D Coordinates & 3D Coordinates
- Absolute Coordinates
- Relative Coordinates
- Relative Polar Coordinates
Features extraction for palmprint-based identification
The palmprint recognition has become a focus in biological recognition and image processing fields. In this process, the features extraction (with particular attention to palmprint principal line extraction) is especially important. Although great progress has been made, the representation of palmprint is still an open issue. We proposed a simple, efficient, and accurate palmprint principal lines extraction method in six steps: normalization, median filtering, average filters along four prefixed directions, grayscale bottom-hat filtering, combination of bottom-hat filtering, binarization and post processing. Our current work aims to integrate this method in a biometric identification system, in which features are derived from palmprint principal lines and used in a template matching algorithm.
Obj. 46 Composite Figures
The document discusses finding the area of composite figures, which are shapes made up of simple shapes like triangles, rectangles, trapezoids, and circles. To find the area of a composite figure, you divide it into its simple shapes, find the area of each shape, and add or subtract the areas together. It provides three examples of calculating the areas of different composite figures by breaking them into their component shapes and combining the individual areas.
Mws gen inp_ppt_direct
The document discusses direct interpolation methods, including linear, quadratic, and cubic interpolation. It provides examples of using each method to find the velocity of a rocket at different times. Linear interpolation found a velocity of 393.7 m/s at t=16s, while quadratic and cubic interpolation found velocities of 392.19 m/s and 392.06 m/s respectively. The cubic method had the lowest relative error compared to the other results. The document also calculates the distance traveled and acceleration of the rocket using the cubic interpolation formula.
Digital Differential Analyzer Line Drawing Algorithm
This document discusses algorithms for drawing straight line segments on a digital display. It describes how line segments are defined by their endpoint coordinates and how those coordinates are converted to integer pixel positions. It then explains how the slope-intercept equation can be used to calculate the slope and y-intercept of a line from its endpoints. Finally, it introduces the digital differential analyzer (DDA) algorithm, which uses incremental steps in x or y based on the slope to efficiently calculate pixel positions along the line segment.
Modified distribution method (modi method)
The document describes the Modified Distribution Method (MODI Method) for finding the optimal transportation plan. It involves the following steps: 1) Determine an initial basic feasible solution, 2) Calculate dual variables to find opportunity costs, 3) Select the cell with most negative opportunity cost to add to the solution, 4) Draw a closed loop and update values along the loop until all opportunity costs are non-negative, indicating optimality. The example shows applying the MODI Method to find the least-cost shipment plan to meet brick orders from two plants. The optimal solution ships a total of 80 tons at a cost of Rs. 2,490.
Modi Method to find least cost in Trasportation Problem
The document describes the MODI (minimization of distribution cost) method for solving transportation problems. It involves finding an initial basic feasible solution, such as with the Northwest Corner method, and then optimizing it using the U-V method. An example problem is provided and solved step-by-step using the U-V method. The method finds penalty values for unallocated cells, identifies positive penalties to create new basic cells, and performs matrix iterations by adding/subtracting values along closed loops until an optimal solution is reached with all negative or zero penalties.
Recommended
Obj. 39 Composite Figures
The document discusses finding the area of composite figures, which are shapes made up of simple shapes like triangles, rectangles, trapezoids, and circles. To find the area of a composite figure, you divide it into its simple shapes, find the area of each shape, and add or subtract the areas together. It provides examples of calculating the areas of different composite figures by breaking them into triangles, squares, circles and other basic shapes and combining those areas.
AutoCAD Lesson coordinate system
2D Coordinates & 3D Coordinates
- Absolute Coordinates
- Relative Coordinates
- Relative Polar Coordinates
Features extraction for palmprint-based identification
The palmprint recognition has become a focus in biological recognition and image processing fields. In this process, the features extraction (with particular attention to palmprint principal line extraction) is especially important. Although great progress has been made, the representation of palmprint is still an open issue. We proposed a simple, efficient, and accurate palmprint principal lines extraction method in six steps: normalization, median filtering, average filters along four prefixed directions, grayscale bottom-hat filtering, combination of bottom-hat filtering, binarization and post processing. Our current work aims to integrate this method in a biometric identification system, in which features are derived from palmprint principal lines and used in a template matching algorithm.
Obj. 46 Composite Figures
The document discusses finding the area of composite figures, which are shapes made up of simple shapes like triangles, rectangles, trapezoids, and circles. To find the area of a composite figure, you divide it into its simple shapes, find the area of each shape, and add or subtract the areas together. It provides three examples of calculating the areas of different composite figures by breaking them into their component shapes and combining the individual areas.
Mws gen inp_ppt_direct
The document discusses direct interpolation methods, including linear, quadratic, and cubic interpolation. It provides examples of using each method to find the velocity of a rocket at different times. Linear interpolation found a velocity of 393.7 m/s at t=16s, while quadratic and cubic interpolation found velocities of 392.19 m/s and 392.06 m/s respectively. The cubic method had the lowest relative error compared to the other results. The document also calculates the distance traveled and acceleration of the rocket using the cubic interpolation formula.
Digital Differential Analyzer Line Drawing Algorithm
This document discusses algorithms for drawing straight line segments on a digital display. It describes how line segments are defined by their endpoint coordinates and how those coordinates are converted to integer pixel positions. It then explains how the slope-intercept equation can be used to calculate the slope and y-intercept of a line from its endpoints. Finally, it introduces the digital differential analyzer (DDA) algorithm, which uses incremental steps in x or y based on the slope to efficiently calculate pixel positions along the line segment.
Modified distribution method (modi method)
The document describes the Modified Distribution Method (MODI Method) for finding the optimal transportation plan. It involves the following steps: 1) Determine an initial basic feasible solution, 2) Calculate dual variables to find opportunity costs, 3) Select the cell with most negative opportunity cost to add to the solution, 4) Draw a closed loop and update values along the loop until all opportunity costs are non-negative, indicating optimality. The example shows applying the MODI Method to find the least-cost shipment plan to meet brick orders from two plants. The optimal solution ships a total of 80 tons at a cost of Rs. 2,490.
Modi Method to find least cost in Trasportation Problem
The document describes the MODI (minimization of distribution cost) method for solving transportation problems. It involves finding an initial basic feasible solution, such as with the Northwest Corner method, and then optimizing it using the U-V method. An example problem is provided and solved step-by-step using the U-V method. The method finds penalty values for unallocated cells, identifies positive penalties to create new basic cells, and performs matrix iterations by adding/subtracting values along closed loops until an optimal solution is reached with all negative or zero penalties.
Lect14 lines+circles
The document discusses different algorithms for drawing lines and circles on a discrete pixel grid, including approaches to reduce aliasing effects. It covers the digital differential analyzer (DDA) algorithm, Bresenham's algorithm, techniques for antialiasing such as area sampling and weighted area filtering using a conical filter. The Gupta-Sproull algorithm is highlighted as a method for antialiasing lines that calculates pixel intensities based on the distance from the line center using features of Bresenham's algorithm.
Viewing transformation
The document discusses viewport transformations which map objects from one coordinate system to another, such as mapping from world coordinates to screen coordinates. It explains that viewport transformations are used for viewing transformations like zooming and moving drawings. The document also describes how a matrix M can be determined to map a window defined in world coordinates to a viewport defined in screen pixel coordinates.
Lecture filling algorithms
A polygon is a closed two-dimensional shape with straight or curved sides. It can be defined by an ordered sequence of vertices and edges connecting consecutive vertices. The scan line polygon fill algorithm uses an odd-even rule to determine if a point is inside or outside the polygon by counting edge crossings along a scan line from that point to infinity. Boundary fill and flood fill are two area filling algorithms that color the interior of a polygon or region by recursively filling neighboring pixels of the same color.
matlab pde toolbox
This document provides instructions for using MATLAB's PDE Toolbox to solve a 2D parabolic partial differential equation (PDE) describing heat transfer. It describes how to: 1) define the PDE coefficients and boundary/initial conditions graphically; 2) generate a mesh and refine it; 3) compute and plot the numerical solution over time. The toolbox allows defining PDEs, boundary conditions, and initial values to model physical systems and compute approximated solutions using triangular meshes and color plots.
0580 w10 qp_21
This document is an exam paper for the International General Certificate of Secondary Education (IGCSE) in mathematics. It consists of 22 multiple choice and written response questions testing a variety of math skills, including: operations with numbers in standard form, fractions, equations, geometry, trigonometry, graphs, and statistics. The exam is 1 hour and 30 minutes long and covers both core and extended portions of the IGCSE mathematics curriculum.
Scalable machine learning
This document discusses scaling machine learning algorithms to large datasets. It introduces machine learning and linear regression, explaining how to represent data with features and labels. Linear regression finds the line of best fit by minimizing a squared loss function. Computing the closed-form solution is inefficient for large datasets due to expensive matrix operations. Gradient descent is introduced as an iterative alternative that is easily parallelized. It works by taking steps in the direction of steepest descent until converging to a solution.
Class program and uml in c++
This program calculates the area and perimeter of three shapes - circle, square, and triangle - using classes in C++. It defines three classes, one for each shape, with member functions to calculate the geometric values. The main function displays a menu to select a shape, then calls the appropriate class to read inputs, perform calculations, and display the outputs. The program demonstrates creating classes for geometric objects and calling their methods to solve problems related to area and perimeter.
01 deflectionof beams
1. The document summarizes experiments measuring the reaction forces and deflections of cantilever and simply supported beams theoretically and experimentally.
2. The results show that the experimental reaction forces and deflections were close to but generally higher than the theoretical calculations, with percentage errors between 0-18%.
3. Sources of error in the experiments included imperfect beam alignment, effects of beam self-weight, measurement errors, equipment limitations, and environmental factors.
Graphing systems
This document provides instructions for graphing and shading systems of inequalities on a coordinate plane. It explains how to graph single inequalities by plotting the corresponding line and determining which side to shade based on testing a point. For systems of inequalities, the document describes how to graph each inequality individually and then shade the region where both areas overlap, which represents the solution set. Examples are provided to demonstrate these techniques for linear inequalities in one and two variables.
C 14-dce-107-engg drawing
This document contains instructions for an engineering drawing examination consisting of two parts worth a total of 60 marks. Part A is worth 20 marks and contains 4 short answer questions requiring candidates to complete tasks like printing lettering, redrawing a figure with dimensions, constructing a pentagon, and drawing an auxiliary view. Part B is worth 40 marks and contains 4 longer answer questions, choosing any 4 out of 10, involving tasks like drawing the convolution and development of a helix, projections of a hexagonal plane, different views of an object, sectional views of an object, an isometric view from given views, and the development of a funnel.
Gcad 2 isometric
Using isometric drawing commands allows creating a 3D representation using only 2D tools. An isometric drawing provides additional information to complement an orthographic multi-view drawing. To set up an isometric drawing area in CAD, the isometric snap must be selected and ortho mode turned on. The isoplane command can change the drawing plane between standard and isometric views, and the isocircle command draws circles in isometric projections by specifying the center point and radius.
STRESS ANALYSIS OF AN ISOTROPIC MATERIAL
This document presents the results of a finite element analysis of a block subjected to loading and temperature changes. Key points:
- The block has dimensions of 30x20x10mm and its corners are tracked with coordinates before and after loading.
- MATLAB is used to calculate displacements, stresses, strains, and principle stresses/strains at midpoints of each edge with and without temperature effects.
- Results are presented for displacement coefficients, stresses, strains, and change in octahedral stress at each edge as temperature increases from 0-25°C.
- The effect of a 20°C temperature change on octahedral stress is analyzed and compared for the bottom front edge and top rear edge.
Autocad Commands
I have made this when I was learning AutoCAD. There are command details, what they are used for and suitable example to see how the command works.
Hope it will be useful for beginners.
2nd periodical test in tle 10
This document appears to be the results of a periodic test in Technical Drafting (ICT) for 10th grade students at Anahawan National High School in Leyte, Philippines. It includes a multiple choice section with 30 questions testing students' knowledge of AutoCAD commands, tools and functions. It also includes an identification section where students are asked to match AutoCAD commands to example outputs and identify keyboard shortcuts. Finally, it provides a drawing output section directing students to create a floor plan for a 1 storey building with specific rooms and areas using a scale of 1:100.
Finite Element Simulation with Ansys Workbench 14
The document provides step-by-step instructions for creating a 3D solid model of a W16x50 steel beam in ANSYS Workbench. It describes sketching the cross-section profile on the xy-plane, adding symmetry and dimensional constraints, and then extruding the sketch to generate the full 3D beam geometry 10 feet in length. Additional techniques demonstrated include copying/pasting sketches, trimming excess lines, adding fillets, and moving dimensional values. The overall purpose is to practice basic sketching skills needed for geometry creation in simulations.
Xat Intro Trends
The document provides an overview of the XAT exam over several years, including the number and types of questions in each section, estimated section cut-offs, and suggested preparation strategies. It analyzes past papers from 2003 to 2007, noting trends in question types, changes in formats and scoring. Key sections analyzed include English, Reasoning/Data Interpretation, Quantitative Ability, and the inclusion of General Knowledge in earlier years.
FIN301_Ch4
1. The document discusses the concept of time value of money and how an amount of money received today is worth more than the same amount received in the future due to factors like opportunity cost, inflation, and ability to invest and earn interest.
2. It provides examples of calculating future and present value using formulas, interest tables, calculators, and spreadsheets. The future value of a single cash flow is calculated as PV x (1+i)n, where PV is the present value, i is the interest rate, and n is the number of periods. The present value is calculated as FV x (1/(1+i))n, where FV is the future value.
Bnkeres Mazagn 1198483942831542 3
Los búnkeres de la Avenida Conquistadores y las playas de las Dunas y Chicago en Mazagón son los últimos vestigios visibles de la Guerra Civil en la zona y aunque están afectados por el paso del tiempo y el abandono, pueden restaurarse. La Junta de Andalucía y los ayuntamientos deben evitar que se destruyan estos testimonios históricos y conservarlos como monumentos en honor a los caídos, ya que son parte importante de la historia que no debe olvidarse.
Impacto La Pampa
El documento resume la segunda etapa del programa "X+ Compromiso" en la ciudad de Santa Rosa, donde 43 líderes de tres escuelas recibieron capacitación. Los líderes interactuaron con una escuela especial e intercambiaron comentarios positivos sobre la experiencia de ponerse en el lugar de personas con discapacidades y aprender de ellas.
More Related Content
What's hot
Lect14 lines+circles
The document discusses different algorithms for drawing lines and circles on a discrete pixel grid, including approaches to reduce aliasing effects. It covers the digital differential analyzer (DDA) algorithm, Bresenham's algorithm, techniques for antialiasing such as area sampling and weighted area filtering using a conical filter. The Gupta-Sproull algorithm is highlighted as a method for antialiasing lines that calculates pixel intensities based on the distance from the line center using features of Bresenham's algorithm.
Viewing transformation
The document discusses viewport transformations which map objects from one coordinate system to another, such as mapping from world coordinates to screen coordinates. It explains that viewport transformations are used for viewing transformations like zooming and moving drawings. The document also describes how a matrix M can be determined to map a window defined in world coordinates to a viewport defined in screen pixel coordinates.
Lecture filling algorithms
A polygon is a closed two-dimensional shape with straight or curved sides. It can be defined by an ordered sequence of vertices and edges connecting consecutive vertices. The scan line polygon fill algorithm uses an odd-even rule to determine if a point is inside or outside the polygon by counting edge crossings along a scan line from that point to infinity. Boundary fill and flood fill are two area filling algorithms that color the interior of a polygon or region by recursively filling neighboring pixels of the same color.
matlab pde toolbox
This document provides instructions for using MATLAB's PDE Toolbox to solve a 2D parabolic partial differential equation (PDE) describing heat transfer. It describes how to: 1) define the PDE coefficients and boundary/initial conditions graphically; 2) generate a mesh and refine it; 3) compute and plot the numerical solution over time. The toolbox allows defining PDEs, boundary conditions, and initial values to model physical systems and compute approximated solutions using triangular meshes and color plots.
0580 w10 qp_21
This document is an exam paper for the International General Certificate of Secondary Education (IGCSE) in mathematics. It consists of 22 multiple choice and written response questions testing a variety of math skills, including: operations with numbers in standard form, fractions, equations, geometry, trigonometry, graphs, and statistics. The exam is 1 hour and 30 minutes long and covers both core and extended portions of the IGCSE mathematics curriculum.
Scalable machine learning
This document discusses scaling machine learning algorithms to large datasets. It introduces machine learning and linear regression, explaining how to represent data with features and labels. Linear regression finds the line of best fit by minimizing a squared loss function. Computing the closed-form solution is inefficient for large datasets due to expensive matrix operations. Gradient descent is introduced as an iterative alternative that is easily parallelized. It works by taking steps in the direction of steepest descent until converging to a solution.
Class program and uml in c++
This program calculates the area and perimeter of three shapes - circle, square, and triangle - using classes in C++. It defines three classes, one for each shape, with member functions to calculate the geometric values. The main function displays a menu to select a shape, then calls the appropriate class to read inputs, perform calculations, and display the outputs. The program demonstrates creating classes for geometric objects and calling their methods to solve problems related to area and perimeter.
01 deflectionof beams
1. The document summarizes experiments measuring the reaction forces and deflections of cantilever and simply supported beams theoretically and experimentally.
2. The results show that the experimental reaction forces and deflections were close to but generally higher than the theoretical calculations, with percentage errors between 0-18%.
3. Sources of error in the experiments included imperfect beam alignment, effects of beam self-weight, measurement errors, equipment limitations, and environmental factors.
Graphing systems
This document provides instructions for graphing and shading systems of inequalities on a coordinate plane. It explains how to graph single inequalities by plotting the corresponding line and determining which side to shade based on testing a point. For systems of inequalities, the document describes how to graph each inequality individually and then shade the region where both areas overlap, which represents the solution set. Examples are provided to demonstrate these techniques for linear inequalities in one and two variables.
C 14-dce-107-engg drawing
This document contains instructions for an engineering drawing examination consisting of two parts worth a total of 60 marks. Part A is worth 20 marks and contains 4 short answer questions requiring candidates to complete tasks like printing lettering, redrawing a figure with dimensions, constructing a pentagon, and drawing an auxiliary view. Part B is worth 40 marks and contains 4 longer answer questions, choosing any 4 out of 10, involving tasks like drawing the convolution and development of a helix, projections of a hexagonal plane, different views of an object, sectional views of an object, an isometric view from given views, and the development of a funnel.
Gcad 2 isometric
Using isometric drawing commands allows creating a 3D representation using only 2D tools. An isometric drawing provides additional information to complement an orthographic multi-view drawing. To set up an isometric drawing area in CAD, the isometric snap must be selected and ortho mode turned on. The isoplane command can change the drawing plane between standard and isometric views, and the isocircle command draws circles in isometric projections by specifying the center point and radius.
STRESS ANALYSIS OF AN ISOTROPIC MATERIAL
This document presents the results of a finite element analysis of a block subjected to loading and temperature changes. Key points:
- The block has dimensions of 30x20x10mm and its corners are tracked with coordinates before and after loading.
- MATLAB is used to calculate displacements, stresses, strains, and principle stresses/strains at midpoints of each edge with and without temperature effects.
- Results are presented for displacement coefficients, stresses, strains, and change in octahedral stress at each edge as temperature increases from 0-25°C.
- The effect of a 20°C temperature change on octahedral stress is analyzed and compared for the bottom front edge and top rear edge.
Autocad Commands
I have made this when I was learning AutoCAD. There are command details, what they are used for and suitable example to see how the command works.
Hope it will be useful for beginners.
2nd periodical test in tle 10
This document appears to be the results of a periodic test in Technical Drafting (ICT) for 10th grade students at Anahawan National High School in Leyte, Philippines. It includes a multiple choice section with 30 questions testing students' knowledge of AutoCAD commands, tools and functions. It also includes an identification section where students are asked to match AutoCAD commands to example outputs and identify keyboard shortcuts. Finally, it provides a drawing output section directing students to create a floor plan for a 1 storey building with specific rooms and areas using a scale of 1:100.
Finite Element Simulation with Ansys Workbench 14
The document provides step-by-step instructions for creating a 3D solid model of a W16x50 steel beam in ANSYS Workbench. It describes sketching the cross-section profile on the xy-plane, adding symmetry and dimensional constraints, and then extruding the sketch to generate the full 3D beam geometry 10 feet in length. Additional techniques demonstrated include copying/pasting sketches, trimming excess lines, adding fillets, and moving dimensional values. The overall purpose is to practice basic sketching skills needed for geometry creation in simulations.
What's hot (15)
Viewers also liked
Xat Intro Trends
The document provides an overview of the XAT exam over several years, including the number and types of questions in each section, estimated section cut-offs, and suggested preparation strategies. It analyzes past papers from 2003 to 2007, noting trends in question types, changes in formats and scoring. Key sections analyzed include English, Reasoning/Data Interpretation, Quantitative Ability, and the inclusion of General Knowledge in earlier years.
FIN301_Ch4
1. The document discusses the concept of time value of money and how an amount of money received today is worth more than the same amount received in the future due to factors like opportunity cost, inflation, and ability to invest and earn interest.
2. It provides examples of calculating future and present value using formulas, interest tables, calculators, and spreadsheets. The future value of a single cash flow is calculated as PV x (1+i)n, where PV is the present value, i is the interest rate, and n is the number of periods. The present value is calculated as FV x (1/(1+i))n, where FV is the future value.
Bnkeres Mazagn 1198483942831542 3
Los búnkeres de la Avenida Conquistadores y las playas de las Dunas y Chicago en Mazagón son los últimos vestigios visibles de la Guerra Civil en la zona y aunque están afectados por el paso del tiempo y el abandono, pueden restaurarse. La Junta de Andalucía y los ayuntamientos deben evitar que se destruyan estos testimonios históricos y conservarlos como monumentos en honor a los caídos, ya que son parte importante de la historia que no debe olvidarse.
Impacto La Pampa
El documento resume la segunda etapa del programa "X+ Compromiso" en la ciudad de Santa Rosa, donde 43 líderes de tres escuelas recibieron capacitación. Los líderes interactuaron con una escuela especial e intercambiaron comentarios positivos sobre la experiencia de ponerse en el lugar de personas con discapacidades y aprender de ellas.
Viewers also liked (7)
Similar to 17
Flair furniture LPP problem
The document describes graphical methods for representing and solving linear programming (LP) problems. It discusses representing constraints graphically and finding the feasible region. It then introduces two methods for finding the optimal solution within the feasible region: the isoprofit line method and corner point method. The isoprofit line method involves graphing objective function lines of increasing profit and finding the point where it touches the feasible region. The corner point method evaluates the objective function at each corner point and selects the maximum. The document provides an example of applying these methods to the Flair Furniture problem and minimizing cost for a turkey feed problem. It also outlines four special cases that can occur in LP problems: infeasibility, unboundedness, redundancy, and
Solucion compendio 4
This document summarizes the steps taken to analyze age data from 50 micro-entrepreneurs in Villavicencio, Colombia. The data is grouped into intervals and frequencies are calculated. Specifically:
1) The age data is grouped into 7 intervals of equal size using the formula for determining the number of intervals.
2) The frequencies and relative frequencies are calculated for each interval.
3) A histogram is generated to visualize the distribution of ages across the intervals.
Solucion compendio 4
This document summarizes the steps taken to analyze age data from 50 micro-entrepreneurs in Villavicencio, Colombia. The data is grouped into intervals and frequencies are calculated. Specifically:
1) The age data is grouped into 7 intervals of equal size using the formula for determining the number of intervals.
2) The frequencies and relative frequencies are calculated for each interval.
3) A histogram is generated to visualize the distribution of ages across the intervals.
Solucion compendio 4
This document summarizes the steps taken to analyze data on the ages of 50 micro-entrepreneurs in Villavicencio, Colombia. The data is grouped into intervals and frequencies are calculated. Specifically:
1) The age data is grouped into 7 intervals of equal size using the formula for determining the number of intervals.
2) The frequencies and relative frequencies are calculated for each interval.
3) A histogram is generated to visualize the distribution of ages across the intervals.
Dibujo y Modelación 3D
This document provides an overview of principles of computational representation in design. It discusses raster and vector graphics representations, file formats such as DXF, and modeling techniques including solid modeling, parametric modeling, assembly modeling, surface modeling, and NURBS modeling. Raster images represent images as grids of pixels, while vector graphics use mathematical statements to define graphical objects. Common file formats like DXF store graphics elements in sections for entities, layers, and other properties. Solid modeling builds 3D models from 2D sketches that can be extruded, while parametric and assembly modeling allow editing features and constraints between parts. Surface and NURBS modeling techniques are used to create smooth 3D surfaces defined by control points and polynomials. Students are
PosterA0_AH_II
This document describes a new dynamic optimization framework for batch HPLC separation processes. The framework formulates a large-scale dynamic optimization problem constrained by partial differential equations to simultaneously optimize general elution trajectories (parameterized by piecewise constant control signals) and target component pooling decisions. The advantages are illustrated through optimizing a challenging ternary mixture separation problem using hydrophobic interaction chromatography. Dynamic optimization of the general elution trajectories increased recovery yield by 13% compared to optimized nonlinear gradients, with a significantly lower terminal cut-time.
Fundamentals of Image Processing & Computer Vision with MATLAB
Slides of my workshop for Fundamentals of Image Processing & Computer Vision with MATLAB, presented at Islamic Azad University of Tabriz (2015)
Data Project 1-use a significance level of 0.05Companies in the Do.pdf
Data Project 1-use a significance level of 0.05
Companies in the Dow Jones Industrial Average
Company
Price
Change
% Change
Volume
YTD
change
MMM 3M
141.26
+0.48
+0.34%
2,506,009
-14.03%
AXP American Express
75.50
+0.19
+0.25%
3,844,194
-18.85%
AAPL Apple
114.21
+1.64
+1.46%
49,915,473
+3.47%
BA Boeing
134.67
+1.12
+0.84%
2,628,223
+3.61%
CAT Caterpillar
72.63
+0.21
+0.29%
4,413,804
-20.65%
CVX Chevron
75.79
+0.13
+0.17%
11,032,075
-32.44%
CSCO Cisco
26.02
-0.24
-0.91%
21,529,112
-6.45%
KO Coca-Cola
38.13
-0.29
-0.75%
11,802,271
-9.69%
DIS Disney
104.48
+1.88
+1.83%
9,529,778
+10.92%
DD E I du Pont de Nemours and Co
48.44
-0.18
-0.37%
6,499,111
-31.04%
XOM Exxon Mobil
72.69
+0.17
+0.23%
12,172,259
-21.37%
GE General Electric
24.95
+0.27
+1.09%
31,903,035
-1.27%
GS Goldman Sachs
185.27
-0.64
-0.34%
2,536,786
-4.42%
HD Home Depot
115.44
+0.95
+0.83%
4,472,836
+9.97%
IBM IBM
147.37
+1.17
+0.80%
3,115,053
-8.15%
INTC Intel
29.47
+0.20
+0.68%
21,786,879
-18.79%
JNJ Johnson & Johnson
92.93
+0.21
+0.23%
7,381,327
-11.13%
JPM JPMorgan Chase
62.56
-0.10
-0.16%
12,766,683
-0.03%
MCD McDonald\'s
97.41
+2.16
+2.27%
6,656,255
+3.96%
MRK Merck
52.09
-0.63
-1.19%
12,090,801
-8.28%
MSFT Microsoft
43.48
+0.19
+0.44%
27,132,527
-6.39%
NKE Nike
111.82
+1.44
+1.30%
2,794,776
+16.30%
PFE Pfizer
32.97
+0.35
+1.07%
22,379,477
+5.84%
PG Procter & Gamble
68.42
+0.10
+0.15%
11,291,401
-24.89%
TRV Travelers Companies Inc
99.49
+0.40
+0.40%
1,375,340
-6.01%
UTX United Technologies
92.33
+0.93
+1.02%
4,490,240
-19.71%
UNH UnitedHealth
118.70
+1.93
+1.65%
3,752,461
+17.42%
VZ Verizon
45.73
+0.27
+0.59%
11,227,446
-2.24%
V Visa
70.76
+0.53
+0.75%
6,452,146
+7.95%
WMT Wal-Mart
64.65
+0.53
+0.83%
8,062,420
-24.72%
Data as of Sep 11
Gain or loss for each stock over the last quarter
Test the claim that the mean is the stocks broke even (no gain or loss indicates a mean of 0)
Company
Price
Change
% Change
Volume
YTD
change
MMM 3M
141.26
+0.48
+0.34%
2,506,009
-14.03%
AXP American Express
75.50
+0.19
+0.25%
3,844,194
-18.85%
AAPL Apple
114.21
+1.64
+1.46%
49,915,473
+3.47%
BA Boeing
134.67
+1.12
+0.84%
2,628,223
+3.61%
CAT Caterpillar
72.63
+0.21
+0.29%
4,413,804
-20.65%
CVX Chevron
75.79
+0.13
+0.17%
11,032,075
-32.44%
CSCO Cisco
26.02
-0.24
-0.91%
21,529,112
-6.45%
KO Coca-Cola
38.13
-0.29
-0.75%
11,802,271
-9.69%
DIS Disney
104.48
+1.88
+1.83%
9,529,778
+10.92%
DD E I du Pont de Nemours and Co
48.44
-0.18
-0.37%
6,499,111
-31.04%
XOM Exxon Mobil
72.69
+0.17
+0.23%
12,172,259
-21.37%
GE General Electric
24.95
+0.27
+1.09%
31,903,035
-1.27%
GS Goldman Sachs
185.27
-0.64
-0.34%
2,536,786
-4.42%
HD Home Depot
115.44
+0.95
+0.83%
4,472,836
+9.97%
IBM IBM
147.37
+1.17
+0.80%
3,115,053
-8.15%
INTC Intel
29.47
+0.20
+0.68%
21,786,879
-18.79%
JNJ Johnson & Johnson
92.93
+0.21
+0.23%
7,381,327
-11.13%
JPM JPMorgan Chase
62.56
-0.10
-0.16%
12,766,683
-0.03%
MCD McDonald\'s
97.41
+2.16
+2.27%
6,656,255
+3.96%
MRK Merck
52.09
-0.63
-1.19%
12,090,801
-8.28%
MSFT Microsoft
43.48
+0.19
+0.44.
25285 mws gen_int_ppt_trapcontinuous
The document discusses the trapezoidal rule of integration. It begins by defining integration as measuring the area under a function plotted on a graph. It then explains that the trapezoidal rule approximates this area as a trapezoid by assuming the integrand can be approximated by a linear polynomial. The rule takes the average of the function values at the limits of integration. The document provides an example problem and solution to demonstrate applying the single-segment and multiple-segment trapezoidal rule. It shows that dividing the interval into more segments reduces the true error of the approximation.
Ch 03 MATLAB Applications in Chemical Engineering_陳奇中教授教學投影片
The slides of Chapter 3 of the book entitled "MATLAB Applications in Chemical Engineering": Interpolation, Differentiation, and Integration. Author: Prof. Chyi-Tsong Chen (陳奇中教授); Center for General Education, National Quemoy University; Kinmen, Taiwan; E-mail: chyitsongchen@gmail.com.
Ebook purchase: https://play.google.com/store/books/details/MATLAB_Applications_in_Chemical_Engineering?id=kpxwEAAAQBAJ&hl=en_US&gl=US
Curve fitting
Curve fitting is the process of finding the best fit mathematical function for a series of data points. It involves constructing curves or equations that model the relationship between dependent and independent variables. The least squares method is commonly used, which finds the curve that minimizes the sum of the squares of the distances between the data points and the curve. This provides a single curve that best represents the overall trend of the data. Examples of linear and nonlinear curve fitting are provided, along with the process of linearizing nonlinear relationships to apply linear regression techniques.
Multiclassification with Decision Tree in Spark MLlib 1.3
The document discusses using decision trees and random forests for multiclass classification in Spark MLlib. It first shows how to build a basic decision tree classifier on a forest cover type dataset, and then tunes the decision tree hyperparameters. It also discusses improving the model by revising how categorical features are handled. Finally, it demonstrates that a random forest model achieves better accuracy than the tuned decision tree model.
Revised marking scheme of class 12 maths.pdf
This document contains the marking scheme for Class XII Mathematics exam with multiple choice questions and short/long answer questions divided into different sections. It provides the question numbers, answers/solutions and marks allocated for each part. The key details summarized are:
1) It contains multiple choice questions (1 mark each) and short/long answer questions ranging from 2-5 marks each divided into sections A to E.
2) Section A contains 20 multiple choice questions with hints/solutions. Section B contains 2 mark very short answer questions.
3) Sections C, D and E contain short answer questions of 3, 5 and 4 marks respectively involving diagrams, calculations and case studies/passages.
4)
2014-mo444-practical-assignment-01-paulo_faria
The document compares linear regression using gradient descent and normal equations on two datasets. For the FRIED dataset, gradient descent without regularization had the best results. Adding higher degree polynomials and variable multiplications increased the model complexity but led to overfitting. For the ABALONE dataset, gradient descent with lambda=0.03 performed best. Normal equations was faster for the smaller ABALONE dataset but slower for the larger FRIED dataset due to its cubic runtime complexity. Increasing the model complexity provided better fits to the training data but risked overfitting.
Initial value problems
This document discusses numerical methods for solving initial value problems for ordinary differential equations. It introduces the Taylor series method and Runge-Kutta method for solving initial value problems. Examples are provided to demonstrate solving first and second order differential equations using these two methods and to compare their results. Stability of numerical solutions is also discussed.
Topic 4.1
This document provides an introduction and overview of stochastic frontier analysis, which models a production frontier as a stochastic function to account for noise in production. It discusses estimating the parameters of a stochastic frontier model using maximum likelihood, predicting technical efficiency at the firm and industry level, and hypothesis testing using likelihood ratio tests. The key steps are estimating the stochastic frontier model, predicting technical efficiencies based on the estimates, and testing hypotheses about inefficiency effects.
Applied numerical methods lec10
The document discusses numerical integration methods such as Newton-Cotes formulas, the trapezoidal rule, and Simpson's rules. The trapezoidal rule approximates the integral of a function f(x) between bounds a and b by taking the average of f(a) and f(b) and multiplying by the width b-a. Simpson's rules use higher order polynomials to connect function values for a more accurate approximation of the integral. Gauss quadrature implements strategic positioning of points to define straight lines that balance positive and negative errors, improving the integral estimate.
numerical_differentiations.ppt
The document discusses numerical differentiation, which is used to approximate derivatives of functions when only tabulated data is available. It presents the forward, backward, and central difference formulas for approximating the first derivative. The central difference formula provides more accurate approximations, with errors on the order of h^2 rather than h. The document also shows an example applying the formulas to estimate the derivative of a sample function at different points using various step sizes h. Halving h reduces the error as expected based on the formulas.
numerical_differentiations:Exploring Numerical Differentiation: Techniques, A...
The document discusses numerical differentiation, which is used to approximate derivatives of functions when only tabulated data is available. It presents the forward, backward, and central difference formulas for approximating the first derivative. The central difference formula provides more accurate approximations, with errors on the order of h^2 rather than h. The document also shows an example applying the formulas to estimate the derivative of a sample function at different points using various step sizes h. Halving h reduces the error, with the central difference seeing the greatest improvement in accuracy.
03raster 1
The document discusses various topics related to raster graphics including:
- How images are displayed on raster graphics systems
- Using output primitives like lines and polygons to describe shapes
- Color models like RGB, CMY, and HSV to represent and describe colors
- Algorithms for line drawing and polygon filling during rasterization
- Techniques for antialiasing like supersampling and area sampling to reduce aliasing artifacts
Similar to 17 (20)
Fundamentals of Image Processing & Computer Vision with MATLAB
Fundamentals of Image Processing & Computer Vision with MATLAB
Data Project 1-use a significance level of 0.05Companies in the Do.pdf
Data Project 1-use a significance level of 0.05Companies in the Do.pdf
Ch 03 MATLAB Applications in Chemical Engineering_陳奇中教授教學投影片
Ch 03 MATLAB Applications in Chemical Engineering_陳奇中教授教學投影片
Multiclassification with Decision Tree in Spark MLlib 1.3
Multiclassification with Decision Tree in Spark MLlib 1.3
numerical_differentiations:Exploring Numerical Differentiation: Techniques, A...
numerical_differentiations:Exploring Numerical Differentiation: Techniques, A...
More from novabk2000
Plm grieves chapter x
PLM (Product Lifecycle Management) is the next level of lean thinking that applies lean principles to the entire product lifecycle through an enterprise system. PLM utilizes information technology to facilitate collaboration and information sharing across the organization. It aims to optimize processes from the beginning by substituting physical testing with virtual simulations. Current major PLM systems include Siemens NX, Dassault CATIA, Autodesk PLM 360, PTC PLM, and Aras Innovator, which are primarily commercial desktop or cloud-based systems that integrate with CAD/CAM software.
Scm 2
This document provides an overview of a research paper that evaluates different postponement strategies for mass customization operations with service guarantees. It describes a model where a manufacturer produces common components early in the production process and customizes products to individual orders later based on component inventory. The document discusses two postponement strategies - product redesign and process reversal - that involve changing where in the process the point of differentiation occurs. It also notes that the processing time and value added at different stages are important factors in determining the optimal postponement strategy. Key aspects of the model like notation, assumptions, and performance measures like customer wait time and order fill rates within a target period are defined.
Session4 giai phap_cae_gioi_thieu_hyperworks
This document discusses New System Vietnam, a joint venture company, and Altair Engineering's HyperWorks software. New System Vietnam assists customers with CAD/CAM/CAE solutions. Altair Engineering is a global software company focused on product development and simulation. Their HyperWorks suite includes tools for modeling, simulation, optimization, and visualization across various industries including automotive, aerospace, electronics, and more.
Session4 solidworks2012 gioi_thieu_cac_tinh_nang_moi_uu_viet
SolidWorks 2012 includes features that automate common design functions, improve performance and workflow, and enable changes to product development processes. It offers enhanced support for project collaboration between teams with improved usability, data access, and communication tools. The updated software is designed to streamline design tasks, boost efficiency, and facilitate connections between groups working on projects.
NPD Lecture01 - Introduction to Product Design and Development
The document provides an overview of product design and development as well as new product management. It defines what constitutes a product and the product development process. It also discusses characteristics of successful new products, challenges in product development, and who is typically involved. The document then covers topics related to new product management including opportunity identification, examples of innovative new products, what qualifies as a new product, and factors that determine a successful new product.
Lattice 1
The document discusses the seven crystal systems and their defining characteristics. There are three main crystal systems - cubic, tetragonal, and orthorhombic. The cubic system has three equal cell vectors of length a that meet at 90 degree angles. The tetragonal system has two equal cell vectors of length a that meet at 90 degrees, while the third vector c is unequal in length and also meets at 90 degrees. The orthorhombic system has three unequal cell vectors a, b, c that all meet at 90 degree angles.
Lec01 Matters At Atomic Level
The document discusses atomic structure and bonding. It describes the basic components of an atom, including protons, neutrons, and electrons. It also discusses different types of atomic bonding structures: covalent, ionic, metallic, and Van der Waals. Additionally, it examines atomic arrangements in different states of matter, such as gases, crystals, liquids, and amorphous solids. Gases have no order, crystals have long and short range order, while liquids and amorphous solids have partial, unstable short range order but no long range order.
Lec01 Matters At Atomic Level
The document discusses atomic structure and bonding, as well as the arrangement of atoms in different materials. It describes the basic components of an atom, including protons, neutrons, and electrons. It also explains different types of atomic bonding: covalent (e.g. in chlorine molecules), ionic (e.g. in lithium fluoride), and metallic. Additionally, it discusses Van der Waals bonding and the atomic arrangements in gases (chaotic with no order), crystals (highly ordered), liquids and amorphous solids (partially and unstably ordered), through 2D illustrations.
More from novabk2000 (20)
Session4 solidworks2012 gioi_thieu_cac_tinh_nang_moi_uu_viet
Session4 solidworks2012 gioi_thieu_cac_tinh_nang_moi_uu_viet
Session2 thiet ke_gia_cong_trung_tam_tien_phay_nhieu_truc_multi_task_machining
Session2 thiet ke_gia_cong_trung_tam_tien_phay_nhieu_truc_multi_task_machining
NPD Lecture01 - Introduction to Product Design and Development
NPD Lecture01 - Introduction to Product Design and Development
Recently uploaded
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.20240605 QFM017 Machine Intelligence Reading List May 2024
Everything I found interesting about machines behaving intelligently during May 2024
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
How to Get CNIC Information System with Paksim Ga.pptx
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Infrastructure Challenges in Scaling RAG with Custom AI models
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Recently uploaded (20)
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
17
- 1. Treating simulation data with mathematical functions using chi-square technique **…formulas achieved by using Chi - square based Java applets on http://csbsju.edu *…relationship btw outputs ( filling,spread ) and inputs ( thickness red.,friction,…)
- 2. Thickness reduction ( r ) variation Rolling model Filling factor = H 1 – t (H 1 = central height)
- 3. Fixed condition with: friction 0.15; sample width 40mm, thickness 5mm, groove 10mm and 20 degrees. 0.00 40.00 5.00 0 1.22 42.36 4.22 40 1.07 41.52 4.32 35 0.95 41.27 4.45 30 0.76 41.06 4.51 25 0.59 41.03 4.59 20 0.24 40.33 4.74 10 Filling factor (as drawn) S (mm) spread H r (mm) (central) Thickness reduction,%
- 4. Other fixed conditions, relationship btw Hr and r (thickness red.) Drawn with Origin 7.0 from simulation results The central (max) height
- 5. Linear model : y = a + bx ( http://www.physics.csbsju.edu/stats/WAPP.html ) Hr = 4.992 – 0.019r Test with r = 40 Hr = 4.992 – 0.019 x 40 = 4.232 Measured H r (40%) = 4.22 mm error (relative) = (4.232 – 4.22)/4.22 = 0.28% Test with r = 10 Hr = 4.992 – 0.019 x 10 = 4.80. error = (4.8 – 4.74)/4.74 = 1.25%
- 6. Graph showing the regression line and the data points Regression line Data point
- 7. Filling factor and thickness reduction
- 8. Rolled width vs thickness reduction Plotted with Origin
- 9. Quadratic model : y = a + bx + cx 2 ( http://www.physics.csbsju.edu/cgi-bin/stats/WAPP ) Sr = 40.03 + 0.01862r + 0.0009461r 2 Test with r = 35 Sr = 40.03 + 0.01862x35 + 0.0009461x35 2 = 41.84 Measured S r (35%) = 4.1.52 mm error (relative) = (41.84 – 41.52)/41.52 = 0.77%
- 10. Graph showing the regression curve and the data points Regression curve Data point
- 12. Friction factor ( m ) variation
- 13. Friction factor variation data from DEFORM 4.22/4.76 4.47/40.97 4.57/40.68 0.60 4.27/41.73 4.44/41.02 4.50/40.65 0.40 4.27/41.70 4.48/41.05 4.54/40.76 0.35 4.28/41.75 4.51/41.04 4.53/40.79 0.30 4.25/41.90 4.48/41.17 4.53/40.82 0.25 4.18/42.28 4.47/41.24 4.57/40.89 0.20 4.22/42.36 4.45/41.27 4.59/40.96 0.15 40% 30% 20%
- 14. Not significant effect on central height
- 15. Try parabolic model for (1) (1) On width… Half – quadratic curve
- 17. Quadratic graph
- 19. Appendix
- 20. Appendix