manufacturing system. On these subjects‚ two classification frameworks are proposed in order to categorize the most widespread measures. In particular‚ the second classification framework regards entropic measures widely used to measure complexity in manufacturing systems. With reference to this second framework‚ two indexes were selected (static and dynamic complexity index) and a Business Dynamic model was developed. This model was used with empirical data collected in a job shop manufacturing system
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Data Warehousing and Data mining December‚ 9 2013 Data Mining and Data Warehousing Companies and organizations all over the world are blasting on the scene with data mining and data warehousing trying to keep an extreme competitive leg up on the competition. Always trying to improve the competiveness and the improvement of the business process is a key factor in expanding and strategically maintaining a higher standard for the most cost effective means in any
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TYPES OF DATA AND COMPONENTS OF DATA STRUCTURES Data types 1. Primitive: is a data type provided by a programming language as a basic building block 2. Composite: is any data type which can be constructed in a program using its programming language’s primitive data types and other composite types 3. Abstract: is a mathematical model for a certain class of data structures that have similar behavior; or for certain data types of one or more programming languages that have similar semantics
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Functional Area Plan: Production and Operations By Deirdre Gist Member of The Signature Coffee Cup Crew Part 1: Production and Operations Manager Composition The ultimate goal for the company is to foster growth and expansion by becoming the foremost provider in quality products and customer service. In order to reach this goal and experience 100% growth over the next five years‚ the Production and Operations department (“Productions”) must streamline its manufacturing and restructure
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Problem definition: Write a program that would calculate and display the results for the multiplication table for values ranging from 1 to 100. A. Problem Analysis – Following the directions in the assignment‚ clearly write up your problem analysis in this section. In order to write this program‚ two variables‚ ROWNUM and COLUMNNUM‚ will be used with nested repetition loop to complete the necessary calculations. ROWNUM will be used in an outerloop and contain numbers between1-10 and COLUMNNUM
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Ensuring Data Storage Security in Cloud Computing Cong Wang‚ Qian Wang‚ and Kui Ren Department of ECE Illinois Institute of Technology Email: {cwang‚ qwang‚ kren}@ece.iit.edu Wenjing Lou Department of ECE Worcester Polytechnic Institute Email: wjlou@ece.wpi.edu Abstract—Cloud Computing has been envisioned as the nextgeneration architecture of IT Enterprise. In contrast to traditional solutions‚ where the IT services are under proper physical‚ logical and personnel controls‚ Cloud Computing
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Surface area Surface area is the measure of how much exposed area a solid object has‚ expressed in square units. Mathematical description of the surface area is considerably more involved than the definition of arc length of a curve. For polyhedra (objects with flat polygonal faces) the surface area is the sum of the areas of its faces. Smooth surfaces‚ such as a sphere‚ are assigned surface area using their representation as parametric surfaces. This definition of the surface area is based on methods
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Using the Standard Deviation You made a number of observations about the data sets for the school activities. You used mean and median to measure the center of the data‚ and you used the interquartile range (IQR) to measure the spread. When outliers are present‚ the median and IQR are used to measure center and spread because they are unaffected by extreme values. When the data appears to be symmetric and there are no known outliers‚ the mean and standard deviation (another measure of spread)
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evidence contributes to our confidence more in the media of instruction than in our ability to discriminate among them (Schramm‚ 1977‚ p. 267). 4.1 INTRODUCTION The history of research on learning and media can be characterized as developing along two distinct paths‚ one that examines the role of media in out-of-school environments such as the home‚ and one that focuses on the role of media as teaching tools within the formal classroom setting (see‚ for review‚ Hornik‚ 1981; Krendl‚ 1989). Both of
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H010: Adjustment of Emotional Score of English Boys and Hindi Girls 1 – Boys‚ 2 - Girls and 1 - English and 2 – Hindi Group Statistics | | Gender | N | Mean | Std. Deviation | Std. Error Mean | Emotional Score | Boys | 175 | 10.9829 | 3.97329 | .30035 | | Girls | 120 | 13.9750 | 5.18152 | .47301 | Independent Samples Test | | Levene’s Test for Equality of Variances | t-test for Equality of Means | | F | Sig. | t | df | Sig. (2-tailed) | Mean Difference | Std. Error Difference
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