The document describes a Compass Device software that determines and proposes values for a quantity examined by the decision-maker. The software iteratively adjusts the value ranges in 11 steps to refine the parameters for the decision-maker to select values suitable for power energy and other respects.
This document summarizes a research paper that solves a product mix optimization problem using linear programming in MATLAB. The problem involves maximizing profit from producing two products (P and Q) given constraints on machine time and market demand. The document formulates the problem as a linear program, graphs the feasible region in MATLAB, and uses the simlp command to find the optimal solution: produce 100 units of P and 30 units of Q per week for maximum profit of $6,300. In solving this example problem, the document illustrates how linear programming and MATLAB can be applied to optimize resource allocation and profit in a manufacturing system.
The document provides important facts and formulas regarding percentage calculations. It begins by defining percentage as hundredths. It gives the formulas to express a percentage as a fraction or decimal, or to express a fraction or decimal as a percentage. It then provides formulas to calculate results involving population growth rates, depreciation rates, and increases or decreases in quantities. The document concludes with solved examples applying the percentage formulas and concepts.
20160928 sauc dougherty conf presentation finaldrhincorporated
The document provides an overview of Diversified Restaurant Holdings, Inc. (DRH) from their presentation at an investor conference. It discusses DRH's strategy of focusing on their core Buffalo Wild Wings business to strengthen their balance sheet and increase net income. A key part of the strategy is spinning off their Bagger Dave's business into a separate company to allow each brand to focus independently. The presentation provides details on DRH's growth, acquisition history, and financial performance as well as their outlook for 2016 as a transition year.
Presentation Stanford Medicine X— Transcribed Narration Abby Norman
This document summarizes the author's experience with chronic illness over several years. It begins with her symptoms starting in college in 2010. Over the next few years she saw many doctors but was often told it was psychological. Through extensive self-education and research, she eventually convinced a surgeon in 2013 to remove her appendix, which had been chronically inflamed for years. This confirmed her long-held belief that her physical symptoms were real. She has since advocated widely for other women suffering from endometriosis and chronic illness.
This document discusses a project by the Indian Medical Association (IMA) called Project Prevention of Diabetic Blindness. The key points are:
1) Diabetic retinopathy is a growing problem in India with approximately 7 million diabetics expected to develop it. The project aims to increase awareness and screen all diabetics nationwide.
2) The project will use a dual approach of awareness campaigns and establishing diabetic retinopathy screening clinics across India, starting as a pilot program in Vadodara, Gujarat.
3) Over 400 diabetics were screened in the first clinic in rural Ghodra, with 43 found to have retinopathy. The goal is to scale this effort nationwide to
It’s time to confront the elephant in the room—The LMS.
We know you’re frustrated by it. We know it doesn’t work (especially in retail). And, we know it doesn’t make your associates more effective on the job. So, why throw cash at a tool that will only let you down?
Fact is, the LMS wasn’t designed for a fast-paced, constantly changing retail environment. Associates don’t sit at a computer for hours each day or have a ton of dedicated time to spend on training. Even when they do have scheduled training time, the LMS can’t deliver the material in an ongoing, engaging way that helps associates remember what they need to know to achieve your objectives—whether it’s increasing sales, providing a superior customer experience, reducing accidents on the job, implementing your omni-channel strategy, or accomplishing anything else that’s critical to your business.
Bottom line? If you don’t have an effective way to build employee knowledge and enthusiasm, you can’t build a high-performing team. And, if you don’t have a workforce that drives results, ultimately, you’ll get the blame.
So, if you’re ready to take a stand and move beyond the LMS, this webinar is for you. Learn about:
5 disconnects between the retail environment and the LMS that are holding you back
6 capabilities of modern learning solutions that can boost business results
3 stories of progressive retailers who all said “No” to the LMS and are achieving tremendous success
This document summarizes a research paper that solves a product mix optimization problem using linear programming in MATLAB. The problem involves maximizing profit from producing two products (P and Q) given constraints on machine time and market demand. The document formulates the problem as a linear program, graphs the feasible region in MATLAB, and uses the simlp command to find the optimal solution: produce 100 units of P and 30 units of Q per week for maximum profit of $6,300. In solving this example problem, the document illustrates how linear programming and MATLAB can be applied to optimize resource allocation and profit in a manufacturing system.
The document provides important facts and formulas regarding percentage calculations. It begins by defining percentage as hundredths. It gives the formulas to express a percentage as a fraction or decimal, or to express a fraction or decimal as a percentage. It then provides formulas to calculate results involving population growth rates, depreciation rates, and increases or decreases in quantities. The document concludes with solved examples applying the percentage formulas and concepts.
20160928 sauc dougherty conf presentation finaldrhincorporated
The document provides an overview of Diversified Restaurant Holdings, Inc. (DRH) from their presentation at an investor conference. It discusses DRH's strategy of focusing on their core Buffalo Wild Wings business to strengthen their balance sheet and increase net income. A key part of the strategy is spinning off their Bagger Dave's business into a separate company to allow each brand to focus independently. The presentation provides details on DRH's growth, acquisition history, and financial performance as well as their outlook for 2016 as a transition year.
Presentation Stanford Medicine X— Transcribed Narration Abby Norman
This document summarizes the author's experience with chronic illness over several years. It begins with her symptoms starting in college in 2010. Over the next few years she saw many doctors but was often told it was psychological. Through extensive self-education and research, she eventually convinced a surgeon in 2013 to remove her appendix, which had been chronically inflamed for years. This confirmed her long-held belief that her physical symptoms were real. She has since advocated widely for other women suffering from endometriosis and chronic illness.
This document discusses a project by the Indian Medical Association (IMA) called Project Prevention of Diabetic Blindness. The key points are:
1) Diabetic retinopathy is a growing problem in India with approximately 7 million diabetics expected to develop it. The project aims to increase awareness and screen all diabetics nationwide.
2) The project will use a dual approach of awareness campaigns and establishing diabetic retinopathy screening clinics across India, starting as a pilot program in Vadodara, Gujarat.
3) Over 400 diabetics were screened in the first clinic in rural Ghodra, with 43 found to have retinopathy. The goal is to scale this effort nationwide to
It’s time to confront the elephant in the room—The LMS.
We know you’re frustrated by it. We know it doesn’t work (especially in retail). And, we know it doesn’t make your associates more effective on the job. So, why throw cash at a tool that will only let you down?
Fact is, the LMS wasn’t designed for a fast-paced, constantly changing retail environment. Associates don’t sit at a computer for hours each day or have a ton of dedicated time to spend on training. Even when they do have scheduled training time, the LMS can’t deliver the material in an ongoing, engaging way that helps associates remember what they need to know to achieve your objectives—whether it’s increasing sales, providing a superior customer experience, reducing accidents on the job, implementing your omni-channel strategy, or accomplishing anything else that’s critical to your business.
Bottom line? If you don’t have an effective way to build employee knowledge and enthusiasm, you can’t build a high-performing team. And, if you don’t have a workforce that drives results, ultimately, you’ll get the blame.
So, if you’re ready to take a stand and move beyond the LMS, this webinar is for you. Learn about:
5 disconnects between the retail environment and the LMS that are holding you back
6 capabilities of modern learning solutions that can boost business results
3 stories of progressive retailers who all said “No” to the LMS and are achieving tremendous success
Mitch Pirtle explains how making extensions for our favorite CMS isn't as hard as everyone would like you to believe.
In fact with some basic concepts you're armed and dangerous, and the rich API provided in the 1.5 release gives you all the tools you need to build feature-rich, sophisticated applications quickly. Let Joomla co-founder Mitch Pirtle show how it is done, as well as explain best practices and common pitfall
Are you struggling with the challenges of delivering training to a global employee base? Would you like to provide more interactive and engaging training? How about social learning — is this one of your training objectives?
This webinar will showcase seven best practices for using virtual learning environments to:
Deliver a global training experience while enabling localized distinctiveness.
Engage and motivate your learners.
Add social learning to your training arsenal.
LUSDesignAssociates, led by owner Lu Schildmeyer, offers a range of services to help make restaurant businesses more profitable through design. These services include strategic consulting, site assessments, interior design, foodservice planning, lighting design, and construction documents/administration. The goal is to identify clients' problems and goals, evaluate potential sites, and design custom interiors, equipment, and lighting to achieve accurate project cost estimates.
This document describes a sound to light system that converts music signals into light pulses using three colored LEDs. It employs two operational amplifiers with a total gain of 1000 times to amplify the signal from an electret microphone. The amplified audio signal is then rectified and used to drive an NPN transistor and control the intensity of the LEDs in rhythm with the music. The circuit automatically adapts to the music volume and can operate off a single 9V battery, making it suitable for small, private sound-to-light applications.
La Unión Europea ha acordado un paquete de sanciones contra Rusia por su invasión de Ucrania. Las sanciones incluyen restricciones a las importaciones de productos rusos de alta tecnología y a las exportaciones de bienes de lujo a Rusia. Además, se congelarán los activos de varios oligarcas rusos y se prohibirá el acceso de los bancos rusos a los mercados financieros de la UE.
Introduction aux deux Messies - 2 Adams - Une mission; Sauver de l'humanité.
La vie du Dr Sun Myung Moon – les Vrais Parents et de Jésus
et de leur forte vie prophétisée!
Koen Corstjens van Fugro neemt je mee in zijn ervaringen met de Hyperion Enterprise Performance Management oplossingen. Wat is de visie van Fugro; wat is de waarde van een EPM-platform in woelige tijden? Welke stappen heeft Fugro al gezet? Wat waren de ervaringen en wat zijn de plannen? Welke lessen kunnen andere trekken?
This document defines and discusses smart materials. It begins by explaining that smart materials are substances that can significantly change one or more of their properties in a controlled manner in response to an external stimulus, and often can do so reversibly. The document then provides the military's definition of smart materials and discusses some of the early observations and discoveries of smart materials throughout history. It proceeds to classify different types of smart materials and provide modern examples. In closing, it notes some advantages of smart materials over traditional materials and areas of research involving smart materials.
- The document discusses key trends in enterprise performance management (EPM) adoption of cloud computing in 2016 based on a survey.
- Planning and budgeting was the most popular EPM application adopted in the cloud, acting as a "beachhead" for other EPM applications to move to the cloud.
- Within the next two years, organizations intend to implement more planning applications in the cloud such as financial, sales, workforce, and capital planning.
Six Sigma is defined in multiple ways: as a philosophy, set of tools, methodology, and metric. As a metric, it uses the concept of sigma (σ) to measure quality levels and defects. A Six Sigma level process would produce just 3.4 defects per million opportunities. Metrics like defects per unit, defects per million opportunities, sigma level, and yield are used to measure process performance. Examples show how to calculate these metrics from data on defects, units, and opportunities to determine a process's sigma level.
Model Presolve, Warmstart and Conflict Refining in CP OptimizerPhilippe Laborie
The IBM constraint programming optimization system CP Optimizer was designed to provide automatic search and a simple modeling of scheduling problems. It is used in industry for solving operational planning and scheduling problems. We present three features that we recently added to CP Optimizer to accelerate problem solving and make the solver more interactive. These are model presolve, warm-start and conflict refinement. The aim of model presolve is to reformulate and group constraints to obtain a stronger model that will be solved more rapidly. We give examples of some interesting model reformulations. Search warm-start starts search from a known - possibly incomplete - solution given by the user in order to further improve it or to help to guide the engine towards a first solution. Finally the conflict refiner helps to identify a reason for an inconsistency by providing a minimal subset of an infeasible model. All these features are illustrated on concrete examples.
- The document analyzes the positive and negative phases of the RBM.m and rbmhidlinear.m files from Hinton's mnistdeepauto example.
- In the positive phase, rbmhidlinear.m calculates hidden unit probabilities linearly without the sigmoid function, while RBM.m uses the sigmoid. Also, rbmhidlinear.m adds noise while RBM.m compares to random numbers.
- In the negative phase the processes are similar except rbmhidlinear.m calculates hidden probabilities linearly while RBM.m uses the sigmoid again.
This document contains various math problems and exercises involving fractions, percentages, operations, areas, perimeters, time conversions, and equivalent fractions. The problems are in Malay and include addition, subtraction, multiplication, division, converting between fractions and percentages, finding lengths and areas, comparing fractions, and converting between time units.
The document provides solutions to 159 equations of 1st and 2nd degree. The solutions include finding the value of the variable x that satisfies each equation. Key equations solved include x^2 - 7x + 12 = 0 with solutions x = 3, x = 4 and 3x^2 + 2x = 8 with solutions x = -2, x = 4/3.
This document provides tips and strategies for improving math calculation skills, including shortcuts for multiplication and division by 9, 99, 999, squares, and numbers close to 100. It also discusses multiplying and dividing by 5 using related multiplication and division by 10. The document concludes with assignments to practice these techniques.
Feature scaling is a technique used in machine learning to standardize the range of independent variables or features of data. There are several common feature scaling methods including standardization, min-max scaling, and mean normalization. Standardization transforms the data to have a mean of 0 and standard deviation of 1. Min-max scaling scales features between 0 and 1. Mean normalization scales the mean value to zero. The document then provides the formulas and R code examples for implementing each of these scaling methods.
face recognition using Principle Componet AnalysisAbhilash Kotawar
Face recognition uses principal component analysis (PCA) to reduce the dimensionality of face image data and identify patterns to recognize individuals. PCA involves extracting principal components from the data to summarize it with fewer variables while highlighting similarities and differences. The process involves getting sample face image data, subtracting the mean, calculating the covariance matrix, finding eigenvectors and eigenvalues to form a feature vector for projections of the data in the direction of the principal components. This allows for face recognition by training a database and testing unknown images.
Mitch Pirtle explains how making extensions for our favorite CMS isn't as hard as everyone would like you to believe.
In fact with some basic concepts you're armed and dangerous, and the rich API provided in the 1.5 release gives you all the tools you need to build feature-rich, sophisticated applications quickly. Let Joomla co-founder Mitch Pirtle show how it is done, as well as explain best practices and common pitfall
Are you struggling with the challenges of delivering training to a global employee base? Would you like to provide more interactive and engaging training? How about social learning — is this one of your training objectives?
This webinar will showcase seven best practices for using virtual learning environments to:
Deliver a global training experience while enabling localized distinctiveness.
Engage and motivate your learners.
Add social learning to your training arsenal.
LUSDesignAssociates, led by owner Lu Schildmeyer, offers a range of services to help make restaurant businesses more profitable through design. These services include strategic consulting, site assessments, interior design, foodservice planning, lighting design, and construction documents/administration. The goal is to identify clients' problems and goals, evaluate potential sites, and design custom interiors, equipment, and lighting to achieve accurate project cost estimates.
This document describes a sound to light system that converts music signals into light pulses using three colored LEDs. It employs two operational amplifiers with a total gain of 1000 times to amplify the signal from an electret microphone. The amplified audio signal is then rectified and used to drive an NPN transistor and control the intensity of the LEDs in rhythm with the music. The circuit automatically adapts to the music volume and can operate off a single 9V battery, making it suitable for small, private sound-to-light applications.
La Unión Europea ha acordado un paquete de sanciones contra Rusia por su invasión de Ucrania. Las sanciones incluyen restricciones a las importaciones de productos rusos de alta tecnología y a las exportaciones de bienes de lujo a Rusia. Además, se congelarán los activos de varios oligarcas rusos y se prohibirá el acceso de los bancos rusos a los mercados financieros de la UE.
Introduction aux deux Messies - 2 Adams - Une mission; Sauver de l'humanité.
La vie du Dr Sun Myung Moon – les Vrais Parents et de Jésus
et de leur forte vie prophétisée!
Koen Corstjens van Fugro neemt je mee in zijn ervaringen met de Hyperion Enterprise Performance Management oplossingen. Wat is de visie van Fugro; wat is de waarde van een EPM-platform in woelige tijden? Welke stappen heeft Fugro al gezet? Wat waren de ervaringen en wat zijn de plannen? Welke lessen kunnen andere trekken?
This document defines and discusses smart materials. It begins by explaining that smart materials are substances that can significantly change one or more of their properties in a controlled manner in response to an external stimulus, and often can do so reversibly. The document then provides the military's definition of smart materials and discusses some of the early observations and discoveries of smart materials throughout history. It proceeds to classify different types of smart materials and provide modern examples. In closing, it notes some advantages of smart materials over traditional materials and areas of research involving smart materials.
- The document discusses key trends in enterprise performance management (EPM) adoption of cloud computing in 2016 based on a survey.
- Planning and budgeting was the most popular EPM application adopted in the cloud, acting as a "beachhead" for other EPM applications to move to the cloud.
- Within the next two years, organizations intend to implement more planning applications in the cloud such as financial, sales, workforce, and capital planning.
Six Sigma is defined in multiple ways: as a philosophy, set of tools, methodology, and metric. As a metric, it uses the concept of sigma (σ) to measure quality levels and defects. A Six Sigma level process would produce just 3.4 defects per million opportunities. Metrics like defects per unit, defects per million opportunities, sigma level, and yield are used to measure process performance. Examples show how to calculate these metrics from data on defects, units, and opportunities to determine a process's sigma level.
Model Presolve, Warmstart and Conflict Refining in CP OptimizerPhilippe Laborie
The IBM constraint programming optimization system CP Optimizer was designed to provide automatic search and a simple modeling of scheduling problems. It is used in industry for solving operational planning and scheduling problems. We present three features that we recently added to CP Optimizer to accelerate problem solving and make the solver more interactive. These are model presolve, warm-start and conflict refinement. The aim of model presolve is to reformulate and group constraints to obtain a stronger model that will be solved more rapidly. We give examples of some interesting model reformulations. Search warm-start starts search from a known - possibly incomplete - solution given by the user in order to further improve it or to help to guide the engine towards a first solution. Finally the conflict refiner helps to identify a reason for an inconsistency by providing a minimal subset of an infeasible model. All these features are illustrated on concrete examples.
- The document analyzes the positive and negative phases of the RBM.m and rbmhidlinear.m files from Hinton's mnistdeepauto example.
- In the positive phase, rbmhidlinear.m calculates hidden unit probabilities linearly without the sigmoid function, while RBM.m uses the sigmoid. Also, rbmhidlinear.m adds noise while RBM.m compares to random numbers.
- In the negative phase the processes are similar except rbmhidlinear.m calculates hidden probabilities linearly while RBM.m uses the sigmoid again.
This document contains various math problems and exercises involving fractions, percentages, operations, areas, perimeters, time conversions, and equivalent fractions. The problems are in Malay and include addition, subtraction, multiplication, division, converting between fractions and percentages, finding lengths and areas, comparing fractions, and converting between time units.
The document provides solutions to 159 equations of 1st and 2nd degree. The solutions include finding the value of the variable x that satisfies each equation. Key equations solved include x^2 - 7x + 12 = 0 with solutions x = 3, x = 4 and 3x^2 + 2x = 8 with solutions x = -2, x = 4/3.
This document provides tips and strategies for improving math calculation skills, including shortcuts for multiplication and division by 9, 99, 999, squares, and numbers close to 100. It also discusses multiplying and dividing by 5 using related multiplication and division by 10. The document concludes with assignments to practice these techniques.
Feature scaling is a technique used in machine learning to standardize the range of independent variables or features of data. There are several common feature scaling methods including standardization, min-max scaling, and mean normalization. Standardization transforms the data to have a mean of 0 and standard deviation of 1. Min-max scaling scales features between 0 and 1. Mean normalization scales the mean value to zero. The document then provides the formulas and R code examples for implementing each of these scaling methods.
face recognition using Principle Componet AnalysisAbhilash Kotawar
Face recognition uses principal component analysis (PCA) to reduce the dimensionality of face image data and identify patterns to recognize individuals. PCA involves extracting principal components from the data to summarize it with fewer variables while highlighting similarities and differences. The process involves getting sample face image data, subtracting the mean, calculating the covariance matrix, finding eigenvectors and eigenvalues to form a feature vector for projections of the data in the direction of the principal components. This allows for face recognition by training a database and testing unknown images.
face recognition using Principle Componet Analysis
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