Student Attendance System Based On Fingerprint Recognition and One-to-Many Matching A thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Computer Application in Computer Science by Sachin (Roll no. 107cs016) and Arun Sharma (Roll no. 107cs015) Under the guidance of : Prof. R.C. Tripathi Department of Computer Science and Engineering National Institute of Technology Rourkela Rourkela-769 008‚ Orissa‚ India 2 . Dedicated to Our
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Forecasting Why forecast? Features Common to all Forecasts • Conditions in the past will continue in the future • Rarely perfect • Forecasts for groups tend to be more accurate than forecasts for individuals • Forecast accuracy declines as time horizon increases Elements of a Good Forecast • Timely • Accurate • Reliable (should work consistently) • Forecast expressed in meaningful units • Communicated in writing • Simple to understand and use Steps in Forecasting Process
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Technological Forecasting by Jack R. Meredith and Samuel J. Mantel‚ Jr. University of Cincinnati Forecasting is hard‚ particularly of the future. [Anonymous] Forecasting is like trying to drive a car blindfolded and following directions given by a person who is looking out the back window. [Anonymous] Technology is the application of science or art. All projects rest on a technological base. They are concerned with using science and art to accomplish some goals.
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MCA/ May/ 02 / 2010 Date: 2nd May2010 Schedule for Saturday Class It is informed to all students of MCA 1st year Batch 2009‚ that their classes will be held on Saturday (3rd Apr’10) as per schedule: Time Subject 1. 09:00 to 10:00 CBNST 2. 10:00 to 10:50 POM 3. 10:50 to 11:40 CO 4. 11:40 to 12:30 DSUC Prof. Vikas Chaudhary Sr. Coordinator Copy to: Dean (A) KRISHNA ENGINEERING
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Through the different stages of civilizations man always tried to look for ways to make their work and life easier. Man was never satisfied‚ so the concept of computerization was applied to give solutions to different problems from the different fields of Agriculture‚ Industry‚ Academic Business‚ Government‚ Sciences‚ Education‚ School‚ Home‚ and in almost any Organization and Establishment that exists. Most of the companies or institutions nowadays are implementing computerized techniques and
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MBA/MIS Project Management Chapters 1 and 2 Project Management Challenges Strategies and Project Selections 1. Two new software projects are proposed to a young‚ start-up company. The Alpha project will cost $150‚000 to develop and is expected to have annual net cash flow of $40‚000. The Beta project will cost $200‚000 to develop and is expected to have annual net cash flow of $50‚000. The company is very concerned about their cash flow. Using the payback period‚ which project is better
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Forecasting Cassandra Harris HSM/260 5/3/2015 Cynthia Cucuzza Forecasting Exercise 9.1 The following data represent total personnel expenses for the Palmdale Human Service Agency for past four fiscal years: 20 X 1 = $5‚250‚000 20 X 2 = $5‚500‚000 20 X 3 = $6‚000‚000 20 X 4 = $6‚750‚000 Forecast personnel expenses for fiscal year 20X5 using moving averages weighted moving averages‚ exponential smoothing‚ and time series regression. For moving averages and weighted moving averages‚ use only the data
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resource portfolio planning model using Sampling-based stochastic programming and genetic algorithm Reconstruct an executable model GROUP 9 MEMBER： M10301206 蔣翔宇 M10308803 Phuong M10301008 王奕翔 M10321814 Bimo Grahito Wicaksono M10321111 吳家臻 Catalog Bab I Abstract 5 Bab II Introduction 5 Bab III Problem formation 5 Bab IV Model 7 Bab V Reconstruct 7 Bab VI Method 8 Bab VII Result 11 Bab VIII Conclusion 17 Bab IX References 18 Picture Figure 1 9 Figure 2 10 Figure 3 10 Figure
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Projects using GSM techniques: 1. µc based security system and parameters controlling for building automation using GSM technique. 2. Home Security with multiple sensors and mobile messaging facility using GSM techniques. 3. Micro Controller based SMART HOME with automatic image capturing and multiple sensors. 4. Remote Process data acquisition and controlling using GSM Techniques. 5. Micro Controller based wireless automation of Power Substation using GSM techniques
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FORECASTING Q1: Moving averages are often used to identify movements of stock prices. Weekly closing prices (in $ per share) for Toys Я Us for 22 September‚ 1997‚ through December 8‚ 1997‚ are as follows (Prudential Securities Inc); Month Sept 22 Sept 29 Oct 6 Oct 13 Oct 20 Oct 27 Nov 3 Nov 10 Nov 17 Nov 24 Dec 1 Dec 8 Fund Price 37.8750 35.6250 34.6875 33.5625 32.6250 34.0000 33.6250 35.0625 34.0625 34.1250 33.2500 32.0625 a. Use a 3-month simple moving average
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