Fluent B Machines

In: Business and Management

Submitted By zanuka55
Words 918
Pages 4
FLUENT BUSINESS MACHINES (B)
VIEWPOINT: COO
TIME FRAME: After December 31, 1990
STATEMENT OF THE PROBLEM: Should management fast track the product launching and introduction of fluent machines into the commercial market?
OBJECTIVES:
1. To effect the launching and marketing of the fluent machines ahead of its competitors and potential substitutes; 2. To install a business and corporate structure for the company to sustain its continuing operation 3. To obtain operational funding for the continuing development, mass production and marketing of the machines; 4. To prime up the emergence and growth of multimedia industry to create demand for the product
ASSUMPTION:
The growth and development of computer technology and software developments have gained much momentum in the 1990’s which opens up vast opportunities for developers and manufacturers. Viewed in this light, we will assume that there are also interested parties who are developing the integration of multimedia capabilities with existing PC akin to Fluent Machines concepts, if not better.
Areas of Consideration: STRENGHTS | WEAKNESSES | * Founders’ enjoys credibility in the industry and possesses competence based on their extensive experience in running high growth and high technology companies | * Shortage of necessary manpower (technical staff for product’s further development and testing; and management team for marketing and financial planning). | * There is an evolving need and demand for the product | * Limited funding to undertake a full blown operation | * Financial depth of founders ($476 M) | * The business is at its infancy stage | | * Product uncertainties to success and market acceptance | | * No well-established relationships with major industry players | | * Founders are not evoking confidence that the machine will be a 100%…...

Similar Documents

B to B

...question. Explain in words and explain in a mathematical way. In a CVP statement we show the costs by behavior – variable costs and fixed costs. From the data given, we are given the break up of variable and fixed costs. We use that to make the Statement Total variable cost = 920,000+70,000+86,000 = 1,076,000 Total fixed cost = 440,000+45,000+98,000 = 583,000 Bruno Manufacturing In CVP Income Statement For the Quarter Ended March 31, 2010 Sales 2,200,000 Variable cost 1,076,000 Contribution margin 1,124,000 Fixed cost 583,000 Net Income 541,000 Question 3 For Dousmann Company actual sales are $1,200,000 and break-even sales are $840,000. Compute the following (a) the margin of safety in dollars and (b) the margin of safety ratio. |Margin of safety in dollars |$[pic] | |Margin of safety ratio |[pic]% | Please show how you were able to answer this question. Explain in words and explain in a mathematical way Margin of safety is calculated as the difference between the actual sales and the breakeven sales and so actually shows the margin before which the firm would make losses Margin of Safety = Actual sales – breakeven sales = 1,200,000-840,000 = $360,000 Margin of safety ratio = Margin of safety in dollars/actual sales = 360,000/1,200,000 = 30% This indicates that sales would have to fall 30% before there is a......

Words: 919 - Pages: 4

Fluent Programming vs Law of Demeter

...Fluent or Law of Demeter? Serban Gavrus Abstract The Law of Demeter is one of the most widely known programming principle, it‟s easy to respect and it assures some important code quality aspect. It can be briefly defined as “use only one dot”. Fluency is a popular choice for implementing interfaces because it adds readability and ease of use. Method chaining and fluency are in practice inseparable. These two aspects of programming seem to be contradictory, one can‟t have both. This essay argues that fluency and LoD can coexist and in the case where the developer must sacrifice one for the other, there is no clear rule to follow. 1.1 Law of Demeter The Law of Demeter was proposed by Ian Holland in 1987. It‟s a programming rule that applies to how methods are written, whose purpose is to assure a good programming style. It‟s been created as a metric to asses the quality of an object-orientated program. The direct purpose of the law is to condense several OOP principles(coupling control, information hiding, information restriction, information localization, structural induction) into a simple and easy to follow rule. The indirect purpose is to ensure loose coupling and stricter modularity. [1] The Law of Demeter is intended to be a guideline, not an absolute restriction. Misunderstanding and blindly following this law can lead to poorer code. [1] The law states that an object “A” should not access an object “B”, retrieved by calling a method of another object “C”, of...

Words: 1444 - Pages: 6

Electric Machines

...Science 6.685 Electric Machines Class Notes 1: Electromagnetic Forces c 2003 James L. Kirtley Jr. September 5, 2005 1 Introduction Bearings Stator Stator Conductors Rotor Air Gap Rotor Conductors Shaft End Windings Figure 1: Form of Electric Machine This section of notes discusses some of the fundamental processes involved in electric machinery. In the section on energy conversion processes we examine the two major ways of estimating electromagnetic forces: those involving thermodynamic arguments (conservation of energy) and field methods (Maxwell’s Stress Tensor). But first it is appropriate to introduce the topic by describing a notional rotating electric machine. Electric machinery comes in many different types and a strikingly broad range of sizes, from those little machines that cause cell ’phones and pagers to vibrate (yes, those are rotating electric machines) to turbine generators with ratings upwards of a Gigawatt. Most of the machines with which we are familiar are rotating, but linear electric motors are widely used, from shuttle drives in weaving machines to equipment handling and amusement park rides. Currently under development are large linear induction machines to be used to launch aircraft. It is our purpose in this subject to develop an analytical basis for understanding how all of these different machines work. We start, however, with a picture of perhaps the most common of electric machines. 2 Electric Machine......

Words: 5431 - Pages: 22

From Physical Machines to Virtual Machines

...From Physical Machines to Virtual Machines Anthony V. Lear ITT Technical Institute From Physical Machines to Virtual Machines For years businesses have depended on multiple pieces of hardware, linked together and deployed with software, to connect users to the resources they need. As technology has advanced with today’s virtual software programs, we can now run another “virtual computer” on a physical client machine. With all the technology advances some people believe that virtual machines are equal to physical machines. First, let’s get some background of the physical machine (server/client) and what it has to offer a network. There are many options when it comes to the CPU, Motherboard, Memory (RAM), etc. These options include hard drives (storage), video cards, audio cards, and central processing units (CPU’s). Even though “it’s all just computation” (Nikhil, 2011, p.38) the combination of hardware can make or break the performance of a physical machine. IT professionals have to consider the needs of a network when choosing a physical machine. Depending on how it will be utilized on the network this will then elaborate on the requirements of the machine to provide the capabilities needed to perform its role on the network. For instance, if you require a file server to allocate resources such as software, programs, employee documents, etc. you will have to consider the servers hardware needs to meet this demand. The most important considerations for a file......

Words: 1322 - Pages: 6

Machine Learning

...Machine Learning Neural Networks - II 12.4.3 Perceptron Definition: It’s a step function based on a linear combination of real-valued inputs. If the combination is above a threshold it outputs a 1, otherwise it outputs a –1. x1 x2 w1 w2 wn Σ w0 X0=1 {1 or –1} xn O(x1,x2,…,xn) = 1 if w0 + w1x1 + w2x2 + … + wnxn > 0 -1 otherwise A perceptron draws a hyperplane as the decision boundary over the (n-dimensional) input space. + + + - Decision boundary (WX = 0) A perceptron can learn only examples that are called “linearly separable”. These are examples that can be perfectly separated by a hyperplane. + + + Linearly separable - + + + Non-linearly separable - Perceptrons can learn many boolean functions: AND, OR, NAND, NOR, but not XOR However, every boolean function can be represented with a perceptron network that has two levels of depth or more. The weights of a perceptron implementing the AND function is shown below. AND: x1 W1=0.5 W2=0.5 Σ W0 = -0.8 X0=1 x2 12.4.3.1 Perceptron Learning Learning a perceptron means finding the right values for W. The hypothesis space of a perceptron is the space of all weight vectors. The perceptron learning algorithm can be stated as below. 1. Assign random values to the weight vector 2. Apply the weight update rule to every training example 3. Are all training examples correctly classified? a. Yes. Quit b. No. Go back to Step 2. There are two popular weight update rules. i)......

Words: 663 - Pages: 3

Vending Machines

..................................................... 3 A.1. A.2. A.3. A.4. A.5. A.6. A.7. A.8. A.9. B. VIABILITY OF SERVICE .................................................................................................................... 3 ONLINE COMPETITOR ASSESSMENT ................................................................................................ 5 ONLINE MARKETING STRATEGIES ................................................................................................. 10 SEARCH ENGINE CONSIDERATIONS & OPTIMIZATION STRATEGIES .................................................. 13 SOCIAL MEDIA INTEGRATION......................................................................................................... 14 ONLINE CUSTOMER RELATIONSHIP MANAGEMENT ......................................................................... 15 E-COMMERCE SOLUTIONS............................................................................................................ 16 INTERNATIONAL CONSIDERATION .................................................................................................. 17 PROJECTED W EB DEVELOPMENT & MAINTENANCE COST............................................................... 18 SITE MAP ........................................................................................................................................... 21 B.1. B.2. B.3. B.4. HOME PAGE .......................................................................................

Words: 5743 - Pages: 23

Machine Learning

...Task 1(Project: CS674) Mishra A.(Y6 Kumar D.(Y6152) Venkat(Y Introduction: The Pattern classification for given problem is posed with serious challenge as on one side the data set is highly imbalanced in favour of B+E against B(So we have to avoid over fitting for generalization) & on the other side wrong classification can have serious consequences in diplomatic relationship between nations. So Our thrust has been to choose between various methods , one with sound justification towards our results & showing how was it better than others . Based on comparative study of various methods we have finally chosen Biased Minimax Probability Machine [1] & we would be proving superiority of our methods over SVM classifier with different parameters which we tried. Besides authors [1] have shown superiority of BMPM over DT, Naive Bayesian Classifier, K-nn classification, & other under/over Sampling methods. Methodology of BMPM: For two class Classification: Let Family {x}, {y} with mean vector & Covariance matrices {x, ∑x }, {y, ∑y} belong to class1 & class2 respectively. Let α be the worst-case accuracy for future data points from family of {x}, and β be the worst-case accuracy for future data points from family of {y}. Depending upon severity of the false positive & true positive rates α, β(Policy variables) it tries to find a maximal hyper plane to separate the two classes [pic] [pic] We can also have Non Linear Classifier by mapping the feature space into......

Words: 437 - Pages: 2

Coffee Machine

...macchina adatta ad ogni ambiente. EN Appia II builds on the success of the Appia. It is a machine with high productivity and high performance which confirms all the features appreciated by over a hundred thousand baristas around the world. The Nuova Simonelli team, applying the results of studies and research conducted with the support of various professionals, have created in Appia II an even richer machine, more comfortable for the barista, with even simpler maintenance. Simple and innovative, Appia II stands out, for proven reliability and even for the modern style that makes it the ideal machine for any room. AppIA II, eIne erfolgsgArAntIe DE Appia II entstand nach dem Erfolg von Appia, einer Maschine mit hoher Produktion und besten Leistungen. Sie bietet die gleichen Merkmale und Funktionen, die von über hunderttausend Baristas in aller Welt geschätzt wurden. Auf der Grundlage von Studien und Forschungen und mit dem Beitrag von unterschiedlichen Berufsprofilen hat das Team Nuova Simonelli mit Appia II eine Maschine geschaffen, die noch reicher ist, dem Barista noch mehr Komfort schenkt und in der Wartung noch essentieller und einfacher ist. Appia II ist schlicht und innovativ. Sie zeichnet sich neben der sprichwörtlichen Zuverlässigkeit auch durch ihren modernen Stil aus, dank dem sie für jede Umgebung geeignet ist. AppIA II, succès gArAntI FR Appia II naît du succès de Appia, une machine à grand rendement et aux performances élevées, dont elle reconfirme toutes......

Words: 4217 - Pages: 17

Machine Learning

... Foundations of Machine Learning Adaptive Computation and Machine Learning Thomas Dietterich, Editor Christopher Bishop, David Heckerman, Michael Jordan, and Michael Kearns, Associate Editors A complete list of books published in The Adaptive Computations and Machine Learning series appears at the back of this book. Foundations of Machine Learning Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar The MIT Press Cambridge, Massachusetts London, England c 2012 Massachusetts Institute of Technology All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher. MIT Press books may be purchased at special quantity discounts for business or sales promotional use. For information, please email special sales@mitpress.mit.edu or write to Special Sales Department, The MIT Press, 55 Hayward Street, Cambridge, MA 02142. A This book was set in L TEX by the authors. Printed and bound in the United States of America. Library of Congress Cataloging-in-Publication Data Mohri, Mehryar. Foundations of machine learning / Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar. p. cm. - (Adaptive computation and machine learning series) Includes bibliographical references and index. ISBN 978-0-262-01825-8 (hardcover : alk. paper) 1. Machine learning. 2. Computer algorithms. I. Rostamizadeh, Afshin.......

Words: 137818 - Pages: 552

Machine Shop

...conceptualized by the researcher in their shop classes at the Electro-Mechanical Technology Shops, College of Technology, DON MARIANO MARCOS MEMORIAL STATE UNIVERSITY (DMMMSU), Mid La Union Campus, San Fernando City. It was a product if creativity of the researchers. The Fruit Juice Extractor is a machine used to extract juice. The design, fabrication and construction of the fruit juice extractor involved the following processes such as designing, measuring, cutting, assembling, mounting, connecting and testing the individual materials and devices to produce precise equipment. Figure 1 shows the perspective view of the Fruit Juice Extractor consisting of various parts that play an important role in the smooth and safe operation of the machine. The following are the main important parts of the Motorized Fruit Juice Extractor: (1) Base & Barrel / Carrier Assembly (2) Motor (3) Barrel / Cylindrical (4) Type of compactom (5) Body (6) Belt (7) Blade Assembly (8) Pulley ASSEMBLY DRAWING A. A. A A Legend A. Body B B B. PULEY C C C. ANGLE BAR D. BARREL / CYLINDRICAL D D E. FRAME F. PAN BELT G. MOTOR F F G. G. E E Fig. 1 Perspective View of Fruit Juice Extractor ISOMETRIC......

Words: 1285 - Pages: 6

Machines

...UNIT 2 D.C MACHINES 1. Give methods adopted to reduce the effect of armature reaction in a DC machine. i) By increasing the length of air gap at pole tips ii) By increasing the reluctance at pole tips iii) Providing compensating winding and interpoles. 2. List the advantages of lap winding in a DC machine. i) Reduction of weight of armature core ii) Cost of armature and field conductors iii) Overall length and diameter of machine. 3. State the relationship between number of armature coils and number of commutator segments in a dc machine. The relationship between number of armature coils and number of commutator segments in a dc machine is where - commutator segment pitch C- no. of coils D- diameter of commutator 4. State different losses in a dc generator. a) Copper losses: (i) armature copper loss (Ia2 Ra) ii) field copper loss (I2snRsh, I2seRse) b) Magnetic losses ( iron or core loss): i) hysteresis loss (Whα B1.6maxf) ii) eddy current loss(Weα B2maxf) iii) mechanical losses 5. What are the main dimensions of a rotating machine? The main dimensions of a rotating machine are armature diameter and stator core length. 6. Define specific magnetic loading. It is defined as the average flux density over the air gap of the machine. Specific magnetic loading = 7. Define specific electric loading. It is defined as the no of armature conductors per meter of armature periphery at the air gap. Specific electric loading = 8. What is output......

Words: 1035 - Pages: 5

Machines

...Should machines be used to do good and services instead humans? I believe they should not for many reasons. Machines can not be smart unless a human is controling it. So it would not matter if its an intelligent machine or not a human is still controlling it to do everything. When using a machine it could easily malfunction and it could be hard to fix the problem or it will just take a while to fix it. If a human is taking over instead of the machine there may be fewer problems. Machines have so many problems that it would not be worth having. Also, the more machines you have the less jobs there are for people because everyone thinks it would be better to have machines instead of people. When less people are out of work that means less money for those people and sometimes they will lose their homes or cars because they can not afford anything. Sometimes working with machines can be very stressful because they may not work at times or they could be running extremely slow and won’t get anything done. Machines are not smart at all, only when people are controlling them they are but not all the time. It may seem smart but its really not. In conclusion, I think machines should not be used to take over a human job because machines can not think only humans can think and make right or wrong decisions. Machines do not have brains, their not wired to think so why have them do stuff that we can do ourselves....

Words: 266 - Pages: 2

Machines

...Should machines be used to do good and services instead humans? I believe they should not for many reasons. Machines can not be smart unless a human is controling it. So it would not matter if its an intelligent machine or not a human is still controlling it to do everything. When using a machine it could easily malfunction and it could be hard to fix the problem or it will just take a while to fix it. If a human is taking over instead of the machine there may be fewer problems. Machines have so many problems that it would not be worth having. Also, the more machines you have the less jobs there are for people because everyone thinks it would be better to have machines instead of people. When less people are out of work that means less money for those people and sometimes they will lose their homes or cars because they can not afford anything. Sometimes working with machines can be very stressful because they may not work at times or they could be running extremely slow and won’t get anything done. Machines are not smart at all, only when people are controlling them they are but not all the time. It may seem smart but its really not. In conclusion, I think machines should not be used to take over a human job because machines can not think only humans can think and make right or wrong decisions. Machines do not have brains, their not wired to think so why have them do stuff that we can do ourselves....

Words: 266 - Pages: 2

Simple Machines

...Simple Machines Experiment 9 – Simple Pulleys Introduction Simple pulleys are a form of simple machines that makes heavy loads easier to lift. They have a grooved wheel that is used for a rope or belt to ride, and allows a force that is acting on one direction, to be changed to another more useful direction. Types of simple pulley: • Fixed Pulley – A pulley that is stationary relative to the earth • Movable Pulley – A pulley that is allowed to move freely, being cradled by a rope or belt. • Compound Pulley – Is a combination of both of the previously mentioned types. Aims and Objectives • To test if tension in a pulley cord changes due to a change in direction of the cord. • To determine if the Mechanical Advantage (M.A) of a compound pulley system. Apparatus • 2 Adjustable hooks • 4 Knurled nuts • 2 Pulleys • 1 Single pulley block • 2 Weight hooks • 1 Set of weights • 1 10N Spring balance • 1 Cord – Approximately 600mm long Test 1 Results W(N) P(N) M.A = W/P 1 1 1 2 2 1 3 3 1 4 4 1 5 5 1 Test 2 Results W(N) P(N) M.A = W/P 1 1.1 0.91 2 1.9 0.91 3 3.2 0.94 4 4.1 0.98 5 4.7 1.1 Test 3 Results W(N) P(N) M.A = W/P 1 0.5 2 2 1.1 1.82 3 1.8 1.67 4 2 2 5 2.2 2.27 Test 4 Results W(N) P(N) M.A = W/P 1 0.6 1 2 1.2 1 3 1.7 1 4 2.3 1 5 2.9 1 Observations In test 1 the readings are the same for both the load (W) and the effort (P) due to the fact that fixed pulley was used for the experiment and so only the direction of the force of...

Words: 692 - Pages: 3

Machine

...  • FREE OPERATIONS TRAININ • FREE TECHNICAL TRAINING   FREE DELIVERY                                                                                18,000 Location 132 V. LUNA ROAD EXTENSION SIKATUNA VILLAGE QUEZON,CITY   NEAR CAMP CARINGAL LOOK FOR: MR. RICMAR YTING AND MS. DINAH GOROSPE MS. RHIZA BAGSIK SALES MANAGER     CALL US NOW! EXCITING PROMOS AND FREEBIES AWAIT YOU! TEL. NOS. 433-5671 • 433-3413 • 435-3533 MOBILE NOS. • 0906-328-4737 (GLOBE) • 0922-207-4051 (SUN) • 0947-177-4969 (SMART) #09277507384 (GLOBE) #09292688228 (SMART) *09236575658 (SUN) *09154997653 (GLOBE) PHOTO DIGITAL PRINTING MACHINE If you are interested in setting-up a DIGITAL PHOTO PRINTING BUSINESS commercial or home based and cannot afford the machines used by other digital printing companies or don’t have the knowledge w/ this kind of business. We can help you start your own digital photo printing business for a complete package price of P21,000.00 ONLY. ALL EQUIPMENTS ARE BRAND NEW & w/ WARRANTY. We used high quality non-fading ink that would last for 100 years. (Super vivid colors ang quality at di po sya kumukupas kahit mabasa or maarawan) Digital photo printing business is now emerging as profitable market boosted by the growing number of affordable camera phones and digital cameras. Low capital but higher profit compared to Internet Café Business. ROI: 4 to 6 mos. (depending upon your shop location) With...

Words: 1437 - Pages: 6

Essay on Greed for Power and Money in Catch-22 | Dance of a Dream (Movie) | Where's Huddles