artificial neural network (ANN) spectral analysis. In the PLS models‚ 45 diesel samples were used in the training group and the other 45 samples were used in the validation. In the ANN analysis a modular feedforward network was used. Sixty diesel samples were used in the neural network training and other 30 samples were used in the validation. Two different ATR configurations were compared in the FTIR‚ a conventional (ATR1) and an immersion (ATR2) cell. The ATR1 cell presented the best results‚ with
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business plan set forth in the case‚ assuming the purported software capabilities were real‚ I would invest in Phurnace Software due to four primary reasons‚ including solid market validation‚ niche market‚ favorable business model and huge potential market and conservative projection. Solid Market Validation: the market validation included both primary research and secondary data collection. The team conducted several face-to-face interviews with the actual J2EE application users and posted a request to
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Bank Management System ------------------------------------------------------------------------------------------------------------ Compiled By Aniket Dinesh Khandagale March 2009 Under the Guidance of Ms. Shivaranjani Nittekar & Ms. Sheetal Singh Submitted in Partial Fulfillment of the Requirements for Qualifying the B. Sc. (I.T.) Semester VI Examination. University of Mumbai Elphinstone College (Accredited ‘A’ Grade by NAAC) Dedicated to
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Personality consistent behavior patterns of thoughts‚ emotions‚ and behaviors and intrapersonal processes originating within the individual may be hidden in unconscious ● Intrapersonal emotional‚ motivational‚ and cognitive processes from within‚ however external world influences personality ● least stable personality during childhood‚ therefore consistency is crucial identity patterns across time and situations. Why Personality? used to predict other’s behaviors ( introvert/ extrovert)
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Vulnerabilities Analysis Advertising & Media Financial Services (Europe) Healthcare Insurance & Law Technology & Telecommunications UK Government Other Sectors Vulnerability Category Analysis Authentication Authorisation Encryption Information Leakage Input Validation Cross-site Scripting (XSS) Other input Server Configuration Session Management OWASP Top10 Conclusion Dataset Restrictions About Context Assurance About Context Works Cited Glossary of Terms 3 4 6 6 8 8 9 10 11 12 14 15 16 16 17 17 18 19 20 22 22
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A CASE STUDY OF CENTRAL BASIN CONJUNCTIVE GROUNDWATER USE AGREEMENT Concept Paper Submitted to Northcentral University Graduate Faculty of the School of Business and Technology Management in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY by ALFRED R. CABLAY Prescott Valley‚ Arizona May 2010 Table of Contents Introduction………………………………………………………………………………..1 Statement of the Problem………………………………………………………….1 Purpose of the Study………………………………………………………………1
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1. Lab 8: Input Validation This lab accompanies Chapter 7 of Starting Out with Programming Logic & Design. Name: Devin Hill‚ Matt March‚ and John Meno Lab 8.1 – Input Validation The goal of this lab is to identify potential errors with algorithms and programs. Step 1: Imagine a program that calls for the user to enter a password of at least 8 alphanumeric characters. Identify at least two potential input errors. -Password contains a symbol -Password has less than 8 charecters Step 2:
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statistical‚ temporal or environmental) or other errors‚ and assessment of data by subject area experts (e.g. taxonomic specialists). These processes usually result in flagging‚ documenting and subsequent checking and correction of suspect records. Validation checks may also involve checking for compliance against applicable standards‚ rules‚ and conventions. The general framework for data cleaning (after Maletic & Marcus 2000) is: Define and determine error types; Search and identify error
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Marketing Research tut questions (answers) Chapter 1 RQ3 Explain the specific differences that exist between data‚ data structures and information. Discuss how marketing research practices are used to transform data into meaningful bits of information. Data represents the actual first-hand responses that are obtained about an object or a subject of investigation by asking questions or observing actions (e.g. words numbers). Data structures represent the results of combining individual responses
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Query Parsing At the Application Layer to Prevent Sql Injection Presented by Saurabh Jain --------------------------------------------------------------------------------------------------------------------- Abstract SQL injection is a code injection technique that exploits a security vulnerability occurring in the database layer of an application. Thus when user input is either incorrectly filtered for string literal escape characters embedded in SQL statements or user input is not strongly
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