Disadvantages: a. Iris Recognition is intrusive. b. Due to fluctuations‚ the Iris is hard t pinpoint c. Iris Recognition is very expensive A. The iris is a small target and a scan cannot be performed properly if the person is more than a few meters way. In order for an iris to be properly scanned‚ the person’s head must be completely still. Eyelashes‚ lenses‚ and anything that would cause a reflection‚ could all make a scan difficult. It is a moving target and can be obscured by objects such as
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AR 670-1 in Regards to Grooming Standards (Facial Hair) What is so unprofessional about a beard‚ a Fu Man Chu‚ or even a goatee? AR 670-1 states that personnel in the Army are only allowed to grow a mustache‚ to a certain extent. However‚ there are many styles of facial hair that could be observed as being professional‚ given that they are allowed to be grown to a certain length‚ which should be dictated by a revision in the regulation. The idea may come off as preposterous or even demeaning
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red light violations‚ unnecessary accidents etc. So the concept of Intelligent Traffic System was developed. In this system it was necessary to identify the vehicles that run on the road. So Automatic Number Plate Recognition (ANPR) System was developed. Automatic Number Plate Recognition (ANPR) System is essential in Intelligent Traffic Systems. ANPR Systems are made up of high-speed cameras designed to capture a photograph of each and every passing license plate‚ combined with software that analyses
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Men’s Hairstyles and Facial Hair by Aaron Marino Table of Contents Alpha’s Basic Hair Principles page 3 Hair Style Based on Height page 4 Hair Style and Face Shape page 6 Find the Perfect Hairstyle page 10 Facial Hair Based on Face Shape page 11 Hair & Facial Hair for Balding Men page 12 Hair Cut Prices page 16 Virtual Grooming page 18 Get BUENO HAIR! page 20 2 Alpha’s Basic Hair Principles Get a Fresh Cut- Do not wait too long! Short hair (under 2 inches) every 3 to 4 weeks
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doesn’t take any drugs for abuse. Objective The patient is alert even though having a bad feeling. He is lying on bed to promote rest. He communicates well and talks fine. He can move his different parts of the body and he shows emotions by different facial expressions. PR: 78 bpm‚ RR: 22 cpm‚ T (axillary): 38⁰ C‚ BP (sitting): 110/90 2. Nutritional – Metabolic Pattern Daily Food and Fluid Intake He usually drinks coffee in the morning. For lunch and dinner‚ he eats vegetables
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Automatic Speech Recognition Systems Week 9 December 14th‚ 2009 Mike Sticksel This paper will evaluate several different types automatic speech recognition software packages. The author will address the following questions as it relates to ASR systems: price point of each software program; Whether or not these systems are speaker independent or speaker dependent; Whether or not they support continuous speech recognition or discreet speech recognition; Do the programs
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ARTIFICIAL INTELLIGENCE FOR SPEECH RECOGNITION THE FUTURE OF HUMAN EVOLUTION ABSTRACT: When you dial the telephone number of a big company‚ you are likely to hear the sonorous voice of a cultured lady who responds to your call with great courtesy saying “welcome to company X. Please give me the extension number you want” .You pronounces the extension number‚ your name‚ and the name of the person you want to contact. If the called person accepts the call‚ the connection is given quickly. This is
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CHAPTER 18 Revenue Recognition ASSIGNMENT CLASSIFICATION TABLE (BY TOPIC) | | |Brief | | | Concepts | |Topics |Questions |Exercises |Exercises |Problems |for Analysis | |*1. Realization and recognition; sales |1‚ 2‚ 3‚ 4‚ |1‚ 2‚ 3‚ |1‚ 2‚ 3‚ 4‚
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Vacuuming Using Voice Recognition Suziati Bt Salleh 1‚ Alaaaldin abdulrahman mohamed 2 Mechatronics Division‚ Faculty of Engineering University Selangor‚ Bestari Jaya Campus‚ Batang Bejuntai‚ Selangor Darul Ehsan‚ Malaysia 1 suziati83@yahoo.com ‚ 2alaa-oo7@hotmail.com II. Abstract— Voice recognition system these days plays a major role in most of the trendy machinecontrolled technologies. It easiness the communication between the user and system due to the non-necessity of the user’s
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ASR - Automatic Speech Recognition Automatic speech recognition transformations of acoustic micro structure of speech signal into its implicit phonetic macro-structure. In other words‚ a speech recognition system is a speech-to-text conversion wherein the output of the system displays text corresponding to the recognized speech. Typology of ASR systems Several ASR systems can be developed‚ depending on: • Speaker-dependent vs. independent • Language constraints: o Isolated
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