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Georgia Peaches and Exotic mango Iced Tea
Smoothie Delight
Didn't really taste either peach or mango. Flavor is ok , but not very strong.
Stay up to date on the latest product releases, special offers & ZampleBox news by signing up for our newsletter
All purchases are age verified before fulfillment
Must be of legal smoking age to use zamplebox.com
Give friends $5 off their boxes each month and get $5 off yours for every friend that joins.


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Web Content Display
Web Content Display
CMAQ/TAP-L Program Development
The CMAQ FFY 2018-2022 and TAP-L FFY 2018-2020 Call for Project is open on January 6, 2017.
CMAP releases a new call for Congestion Mitigation and Air Quality Improvement Program (CMAQ) and locally programmed Transportation Alternatives Program (TAP-L). Applications are due by March 3, 2017 and local sponsors must have their applications submitted for reviewed by their Council of Mayors planning liaison by February 17, 2017. See the Call for Projects - Application Materials section for the Application Booklet and instructions. Local sponsors should direct questions to their planning liaison, and all other sponsors should contact Doug Ferguson (email@example.com).
Application Webinar
CMAP staff will be hosting an Application Webinar on Friday, January 13, 2017 at 1:00. The webinar is intended for individuals wishing to submit a project application for CMAQ or TAP-L funding. Participation for the webinar will be limited to the first 100 registrants. REGISTRATION is required. To participate in person at CMAP's Offices send an email to firstname.lastname@example.com with your contact information.
Call for Projects - Application Materials
Program Application Booklet - Guide to FFY 2018-2022 CMAQ and FY 2018-2020 TAP-L Call for Projects
eTIP User Guide - CMAQ/TAP Call for Projects
Bicycle Facility Emissions Benefit Form
Demonstration Emissions Benefit Form
Direct Emissions Reduction Emissions Benefit Form
Signal Interconnect Emissions Benefit Form
Traffic Flow Improvements Emissions Benefit Form
Transit Projects Emissions Benefit Form
Commuter Parking Structure Supplement
Detailed Estimate of Costs Form
Applicant Resources
Below are external resources for CMAQ Applicants. Resources specific to Northeastern Illinois and CMAP Policies and Procedures can be found on the CMAQ Related Pages described on the CMAQ Program web page.
Agency Websites
Federal Highway Administration CMAQ Program Site
Federal Highway Administration CMAQ Reference Materials
Environmental Protection Agency - Office of Air Quality Planning and Standards Site
Transportation Alternatives (TA) Set-Aside Implementation Guidance (2016)
Interim Guidance on the Congestion Mitigation and Air Quality Improve Program under MAP-21 (2012)
Final Guidance on the Congestion Mitigation and Air Quality Improvement Program under SAFETEA-LU (2008)
Manuals and Processes
Federal Aid Project Flow Chart: Initiation to Completion (IDOT, 2002) Number correspond to Milestone Schedule
IDOT-District 1-Local Roads and Streets' Mechanics of Project Management; FHWA Process for Project Implementation (2008)
IDOT Bureau of Local Roads & Streets Manual
SAFETEA-LU 1808: CMAQ Evaluation and Assessment Phase II Final Report (FHWA, 2009)
SAFETEA-LU 1808: CMAQ Evaluation and Assessment, Phase I Final Report (FHWA, 2008)
The Congestion Mitigation and Air Quality Improvement Program: Assessing 10 Years of Experience, Special Report 264 (Transportation Research Board, 2002)
Creating Transportation Choices: Congestion Mitigation and Air Quality Improvement Program Success Stories (U.S. EPA Office of Transportation and Air Quality, 1999)

subset: commoncrawl


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Internationally respected psychiatrist whose pioneering research yielded a humane new understanding of drug and alcohol addiction
Griffith Edwards was the foremost academic psychiatrist of his generation in the field of alcohol and drug addiction.
In a career that spanned nearly 50 years he established the study of addiction as a serious field of scientific endeavour in the UK and internationally. In 1967 he became the first director of the Addiction Research Unit at the Institute of Psychiatry and Maudsley Hospital in London, which subsequently became a Medical Research Council research unit and was renamed the National Addiction Centre in 1991.
As the first professor of addiction behaviour in Britain he was able to attract and nurture


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Get an overview of this hotelUpscale resort on the beach, with 2 outdoor swimming pools
This family-friendly resort is located on the beach.
Resort Features
Spend the day playing on the beach then return to dine at one of SENTIDO Mikri Poli Kos's 2 restaurants.
Room Amenities
All 200 rooms provide conveniences like refrigerators and coffee makers, plus free WiFi and flat-screen TVs with satellite channels. Other amenities available to guests include furnished balconies, hair dryers, and safes.Information missing or incorrect? Tell us!Opens in a new window
SENTIDO Mikri Poli Kos
Resort Amenities
All-Inclusive Details
This resort is all-inclusive. Onsite food and beverages are included in the room price (some restrictions may apply).
Resort Amenities
SENTIDO Mikri Poli Kos is an all-inclusive resort. Room rates include meals and beverages at onsite restaurants and bars. Other items and amenities, including taxes and gratuities, and access to recreational activities and entertainment may also be included. Additional charges may apply for meals at some restaurants, special dinners and dishes, certain beverages, and other amenities.
Enjoy the umbrellas and sun loungers for a relaxing day at the beach. Bring your whole family to SENTIDO Mikri Poli Kos for summer fun including 2 outdoor swimming pools, a children's club, and a children's pool.
A complimentary breakfast is offered. Dining is available at one of the resort's 2 restaurants and guests can grab coffee at the coffee shop/café. The property also has a snack bar/deli. Guests can unwind with a drink at one of the resort's bars, which include a poolside bar and a bar/lounge. High-speed wireless Internet access is complimentary. Complimentary self parking is available on site.
SENTIDO Mikri Poli Kos is a smoke-free property.
- 24-hour front desk
- Babysitting or childcare (surcharge)
- Arcade/game room
- Total number of rooms - 200
- Number of floors - 2
- Bar/lounge
- Coffee shop or café
- Free breakfast
- Pool umbrellas
- Billiards or pool table
- Tours/ticket assistance
- Free WiFi
- Number of outdoor pools - 2
- Children's club
- Multilingual staff
- Garden
- Poolside bar
- Luggage storage
- Beach umbrellas
- Beach sun loungers
- Beach towels
- Number of restaurants - 2
- Tennis on site
- Free self parking
- Snack bar/deli
- Shopping on site
- Smoke-free property
- Number of buildings/towers - 1
- Supervised childcare/activities
- Children's pool
- Television in common areas
Family Friendly Amenities
- Family Hotel
- Outdoor pools
- Children's pool
- Free Wi-Fi
- Rollaway/extra beds available
- Snack bar/deli
- Babysitting or childcare (surcharge)
- Arcade/game room
- Playground on site
- Refrigerator
- Cribs/infant beds (complimentary)
Available in all rooms: Free WiFi
Available in some public areas: Free WiFi
Free self parking
Room Amenities
- Furnished balcony
- In-room climate control (air conditioning)
- Phone
- Refrigerator
- Coffee/tea maker
- Private bathroom
- Hair dryer
- Bathtub or shower
- In-room safe
- Rollaway/extra beds available
- Satellite TV service
- Flat-panel TV
- Free WiFi
- Free cribs/infant beds
Where to Eat
A complimentary breakfast is offered.
Laurell - Overlooking the ocean and pool, this restaurant serves breakfast, lunch, and dinner.
Pool House - This restaurant specializes in barbecue.
Refresh Pool Bar - Onsite bar.
SENTIDO Blue Bar - Onsite bar.
Nearby Things to Do
2 outdoor swimming pools are on site along with a children's pool.
The recreational activities listed below are available either on site or nearby; fees may apply.
- Fitness classes on site
- Basketball on site
- Bicycle rentals on site
- Playground on site
Resort Policies
Check-in time starts at 2 PM
Check-out time is noon
Payment types
Children and extra beds
- Children are welcome.
- Rollaway/extra beds are available.
- Free cribs (infant beds)!
- No pets or service animals allowed
You need to know
Extra-person charges may apply and vary depending on property policy.
Government-issued photo identification and a credit card or cash deposit are required at check-in for incidental charges.
Special requests are subject to availability upon check-in and may incur additional charges. Special requests cannot be guaranteed.
Hotel Registry Number - 1471K015A0340900
No pets or service animals allowed
- Resort fee
Optional extras
- Fee for wireless Internet in public areas: EUR 5 (for 2 hours, rates may vary)
- Late check-out fee: EUR 20
Resort Name
- Mikri Poli Kos
- SENTIDO Kos
- SENTIDO Mikri Kos
- SENTIDO Mikri Poli Hotel
- SENTIDO Mikri Poli Hotel Kos
- SENTIDO Mikri Poli Kos
We should mention
Cash transactions at this property cannot exceed EUR 1500, due to national regulations. For further details, please contact the property using information in the booking confirmation. A resort fee is included in the total price displayed. No pets and no service animals are allowed at this property.


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About JVC Canada
Where to buy
JVC Store
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About JVC
About JVC Home
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Dealer Locator
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Terms and Conditions of Use
By accessing and browsing this website, you agree to be bound by the following terms and conditions. The disclaimers, terms and conditions on these pages are of general application and may be supplemented by additional disclaimers, terms or conditions of specific application on a particular page of this website.
Intellectual Property Notice - Copyright
Copyright © 2000 JVC Canada Inc. All rights reserved.
JVC Canada Inc. ("JVC") either owns the intellectual property rights in the underlying HTML, text, audio clips, video clips, photographs, artwork, graphics and other content that is made available to you on our website, or has obtained the permission of the owner of the intellectual property in such content to use the content on our website. All content on this website is protected by worldwide copyright laws.
Limited Licence
JVC grants to you a limited licence to display on your computer, print, download and use the underlying HTML, text, audio clips, video clips and other content that is made available to you on our website, for non-commercial, personal, or educational purposes only, provided that:
you do not modify any such content; and
you include with and display on each copy of such content the associated copyright notice and this limited licence.
No other use is permitted. Without limiting the generality of the foregoing, you may not:
make any commercial use of such content;
include such content in or with any product that you create or distribute; or
copy such content onto your or any other website.
Notwithstanding the above, nothing contained in this licence shall be construed as conferring any right under any copyright of JVC or any other person who owns the copyright in content provided on our website.
Intellectual Property - Trademarks
JVC Canada Inc., the JVC Canada Inc. logo, the JVC™ are trade-marks owned by JVC and/or its parent company. Certain names, graphics, logos, icons, designs, words, titles or phrases on this website may constitute trade-marks, service marks, trade names, trade dress or products of JVC or other entities. The trade-marks, service marks, trade names, trade dress and products represented on this website are protected in Canada and internationally and their display on this website does not convey or create any licence or other rights in these marks, names, dress or products. No use of these may be made without prior, written authorization of JVC, except to identify the products of JVC.
The names of all products mentioned on this website are the trade-marks of JVC or its parent or affiliates.
Intellectual Property - General
Notwithstanding the above, nothing contained in this l
Information received from you:
Any personal information collected by JVC from you will be limited to that which is needed for the following purposes and will only be used for those purposes: to respond to your comments or inquiries, to supply you with information on JVC brand products which you have requested, or to record your warranty registration for your purchase of a new JVC brand product.
Your consent will be obtained prior to the use of this personal information for any purpose other than those listed above. However, you acknowledge that JVC may be required by law to disclose certain personal information.
JVC will only collect personally identifiable information that you voluntarily provide through JVC's website or electronic mail correspondence. JVC will also collect general information (such as the type of browser you use, the files you request, and the domain name and country from which you request information) which will only be used for the purposes listed above.
If you would like to remove or modify any personal information collected by JVC from you, you may contact JVC at http://www.jvc.ca. JVC will use reasonable efforts to comply with your request.
JVC reserves the right to change this privacy policy at any time. JVC will promptly reflect any such changes in these Web pages. You should check our website frequently to see recent changes.
JVC does not sell or disclose any of your personal information to marketers, periodical publishers or any other outsiders.
By clicking the "Submit" button on the Consumer/Warranty Registration page or the Consumer/Contact Us page, you consent to the collection of personal information for the purposes outlined above.
Information received automatically:
We receive and store certain types of information when you contact our website. For instance, like many websites, JVC's Web pages may contain "cookies," which are data that may be sent to your Web browser and stored on your computer. This allows JVC's server to "recognize" you when you visit JVC's website in the future. Most Web browsers can be configured to not accept cookies or to notify you if a cookie is sent to you. We will use any of your personal information that may be collected by cookies only for the purpose of allowing the website to better respond to your needs on your subsequent visits to our website.
This site may contain links to other websites. Please note that JVC is not responsible for how your personal information may be collected, used or disclosed on such other websites.
To return back to the previous page, press the "Back" button on the Navigation Bar of your web browser.
General Disclaimer
The contents of this website are provided for informational and educational purposes only. JVC will use reasonable efforts to include up-to-date and accurate information in this website but all information is provided "AS IS" without any warranty of any kind and JVC makes no representation and disclaims all express and implied warranties and conditions of any kind, including, but not limited to, representations, warranties or conditions regarding accuracy, currency, timeliness, sequence, completeness, non-infringement, merchantability, fitness for any particular purpose, or that the server that makes this website available is free of viruses or other components that may infect, harm or cause damage to your computer equipment or any other property when you access, browse, download from or otherwise use this website, and JVC assumes no responsibility to the users of this website (the "User") or any third party for the consequences of any errors or omissions. YOUR USE OF THIS WEBSITE IS AT YOUR OWN RISK. This website may contain inaccuracies or typographical errors. Some jurisdictions do not allow the disclaimer of implied warranties. In such jurisdictions, the foregoing disclaimers may not apply to you insofar as they relate to implied warranties.
IN NO EVENT SHALL JVC BE LIABLE TO THE USER AND/OR ANY THIRD PARTY FOR ANY DAMAGES WHATSOEVER, INCLUDING, BUT NOT LIMITED TO, DIRECT, INDIRECT, SPECIAL, INCIDENTAL, CONSEQUENTIAL OR PUNITIVE, EXEMPLARY OR AGGRAVATED DAMAGES, LOSSES OR EXPENSES (INCLUDING, BUT NOT LIMITED TO, ANY LOST REVENUES, LOST PROFITS, LOST OPPORTUNITIES, LOSS OF PROSPECTIVE ECONOMIC ADVANTAGE) ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS WEBSITE, ANY WEB BROWSER AND/OR INFORMATION AVAILABLE FROM THIS WEBSITE, INCLUDING, BUT NOT LIMITED TO, ANY DAMAGES SUFFERED AS A RESULT OF OMISSIONS OR INACCURACIES IN SUCH INFORMATION OR THE TRANSMISSION OF CONFIDENTIAL OR SENSITIVE INFORMATION TO OR FROM JVC, OR IN CONNECTION WITH ANY COMPUTER VIRUS OR SYSTEM FAILURE, EVEN IF JVC IS ADVISED OF SUCH POSSIBILITY. JVC ASSUMES NO LIABILITY OR RESPONSIBILITY FOR DAMAGE OR INJURY TO PERSONS OR PROPERTY ARISING FROM ANY USE OF ANY PRODUCT, INFORMATION, IDEA, OR INSTRUCTION CONTAINED IN THE CONTENT OF THIS WEBSITE. JVC ALSO ASSUMES NO LIABILITY FOR ANY DAMAGES WHATSOEVER, ARISING OUT OF ANY DELAY IN SHIPPING PRODUCTS OR LITERATURE ORDERED BY THE USER FROM JVC. Some jurisdictions do not allow the exclusion of certain warranties or the limitation or exclusion of liability for incidental or consequential damages. Therefore, the foregoing limitations may not apply to you.
This website is provided as a service to the User. JVC reserves the right to delete, modify or supplement the content
JVC Canada Inc.
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Phone: 905-670-3381
Fax: 905-670-7244
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StartUpHire is the place to find Business Analytics Resource jobs. Review the list of Business Analytics Resource career opportunities to the left. These Business Analytics Resource jobs represent some of the most rewarding careers available.
You can refine your job search for Business Analytics Resource career opportunities by adding a job title, company name, or keyword to the search box above … or click the "Advanced Search" link for more options.
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at Weebly San Francisco, CA Weebly powers 2% of all websites on the Internet. Now, imagine all the data that can be collected and analyzed to derive true insights about product improvements, new features, marketing effectiveness, conversion strategies, customer service12/25/2016 San Francisco, CA Save This Job
About Us:Leaf Group Ltd. (NYSE: LFGR) is a diversified Internet company that builds platforms to enable communities of creators to reach passionate audiences in large and growing lifestyle categories. We create amazing experiences that celebrate the best of art, design, and2/1/2017 Santa Monica, CA Save This Job
Human Resources & Recruiting Campbell, California APPLY Description Position at 247 POSITION/TITLE: Human Resources Business Partner 247 is the intuitive consumer experience company. We have customers in North America, Europe, Asia and Australia, and manage over 2.5 B customer12/25/2016 Campbell, CA Save This Job
Location:Miami Job Code:207 # of Openings:1 Description Join our dynamic Technology Team and make an impact at Bridgevine Inc., the leading provider of customer acquisition solutions for iconic home service brands at the Miami, Florida office. We offer an invaluable opportunity1/4/2017 Miami, FL Save This Job
Req No. 2016-3557 Department Retail Division Type Regular Full-Time Location US-CA-Redwood City More information about this job: Overview: Oportun is a financial technology company founded in 2005. Our mission is to provide affordable loans to US Latinos and others with1/11/2017 Redwood City, CA Save This Job
---After applying for this job, you'll receive an email with a link to create a HireKeep Profile. Please make sure to complete this step to be matched with this job along with other awesome jobs like it.---HireKeep's skill-set matching engine utilizes data analytics and culture2/3/2017 Reston, VA Save This Job
Req No. 2016-4207 Department Human Resources Type Regular Full-Time Location US-CA-Redwood City More information about this job: Overview: Oportun is a financial technology company founded in 2005. Our mission is to provide affordable loans to US Latinos and others with1/11/2017 Redwood City, CA Save This Job
Account Executive, San Francisco at Clarabridge San Francisco Account Executive Clarabridge has a storied history of consistent growth and expansion. As a Clarabridge Account Executive, you will need to serve as a farmer and a hunter who is enthusiastic about identifying target2/15/2017 San Francisco, CA Save This Job
Netuitive is hiring a Technical Sales Specialist. This position will be responsible for supporting our Inside Sales Division in selling and expanding our SaaS monitoring product. This includes being an internal technical resource and also working with prospects and customers on12/25/2016 Reston, VA Save This Job
Glooko Senior Program Manager ? Job Description Vision: The Program Manager organizes large, complex projects and releases to deliver timely business outcomes, ensures processes are in place for efficient operations and the ability to scale, and evangelizes/teaches others to2/3/2017 Palo Alto, CA Save This Job
at LogRhythm (View all jobs) Philadelphia, PA As a LogRhythm Sales Engineer (SE), you'll be the primary technical resource for the National Accounts Sales team. You will be responsible for actively driving and managing the technology evaluation stage of the sales process, working1/25/2017 Philadelphia, PA Save This JobApplied To
Vision: The Program Manager organizes large, complex projects and releases to deliver timely business outcomes, ensures processes are in place for efficient operations and the ability to scale, and evangelizes/teaches others to improve project management skills. The first and1/4/2017 Palo Alto, CA Save This Job
Job ID 2016-3649 Job Location US-TX-Austin Category Finance Type Full-Time More information about this job About Bazaarvoice At Bazaarvoice, our vision is creating the world?s smartest network of customers, brands and retailers. Each month, more than one-half billion1/16/2017 Austin, TX Save This Job
WORK IN SILICON VALLEY AT A HEALTH TECH START UP! About Glooko There are over 380 million people in the world with Diabetes and Glooko helps them, as well as their doctors and care team to manage the disease easily and cost effectively. Launched in 2010, Glooko offers an1/4/2017 Palo Alto, CA Save This Job
San Francisco Operations Full-time APPLY FOR THIS JOB Databricks is at the cutting edge of Big Data processing in the cloud, providing the Apache Spark-powered Databricks platform to empower anyone to easily build and deploy efficient, advanced cloud-based analytics solutions1/25/2017 San Francisco, CA Save This Job
Location:San Diego, CA Job Code:1190 # of Openings:1 Description POSITION : Database Administrator DEPARTMENT : Data Services REPORTING SUPERVISOR : Director, Data Warehouse & Reporting DIRECT REPORTS : No FLSA : Non-Exempt EMPLOYMENT STATUS : Direct Hire TRAVEL2/17/2017 San Diego, CA Save This Job
Playa Vista ApplyApply with LinkedIn Job Description: The eCommerce Marking Manager (Direct & Indirect) is an integrated member of the Global eCommerce team with primary responsibility for the execution and success of the eCommerce business plan. The eCommerce Marketing Manager1/10/2017 Playa Vista, CA Save This Job
Global Operations - San Diego, CA - Full Time Verimatrix is a high-growth software company that operates at the leading edge of the pay-TV industry, protecting movies and television from piracy and hackers, and our customers from theft of service. We are currently deployed at2/13/2017 San Diego, CA Save This Job
at Sumo Logic (View all jobs) Redwood City, CA Are you looking to join one of Silicon Valley?s hottest startups, with top-tier VC funding and all-star engineering, product, marketing and sales teams? Do you have a passion for evangelizing game changing technology with the skills1/31/2017 Redwood City, CA Save This Job
Location: Exeter, NH Type: Full-Time Department: Marketing We are on the hunt for a talented CRO Specialist who can think creatively and critically; someone who cares not just about how a website looks and functions, but?more importantly?how it performs. If you excel in crafting1/17/2017 Exeter, NH Save This Job


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Create an Account - Increase your productivity, customize your experience, and engage in information you care about.
Agendas & Minutes
Agendas are available prior to the meetings. Minutes are available following approval.
View All Agendas and Minutes
Citizens on this board serve 4-year terms. Council members on this board serve 2-year terms.


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Watch Area 51 Online
|Area 51 (2015)
|Rating: 4.2/10 (8,272 votes)
Director: Oren Peli
Writer: Christopher Denham, Oren Peli
Stars: Reid Warner, Darrin Bragg, Ben Rovner, Jelena Nik
Runtime: 91 min
Rated: R
Genre: Horror, Sci-Fi, Thriller
Released: 15 May 2015
|Plot: Three young conspiracy theorists attempt to uncover the mysteries of Area 51, the government's secret location rumored to have hosted encounters with alien beings. What they find at this hidden facility exposes unimaginable secrets.
Please choose format to watch the movie:
The video keeps buffering? Just pause it for 2-3 minutes then continue playing!


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The Senate Republican staff provides a daily update listing all legislation advanced by Senate Committees and the Senate body.
*Please note that the Senate action as recorded does not reflect any commitment by the sponsor to further amend the legislation.
February 16, 2017 - Senate Committee Action
February 15, 2017 - Senate Committee Action
February 8, 2017 - Senate Committee Action
January 24, 2017 - Senate Committee Action
As Senate Republicans, our goal is to encourage job growth by developing an efficient, transparent, ethical state government with less regulation and lower taxes. We must leave a legacy of responsible government that will last for generations.
© Copyright 2017 Illinois Senate Republicans
Terms of Use | Privacy


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Andis Mizišs
Latvia / Website
Anids Miziss studied Latvian Academy of Culture. He has been working for Latvian TV since 1995, he started as a director of children´s program. He has made several documentary films, Since 2005 Andis is member of Filmmakers Union of Latvia.
A Viewpoint (Latvia, 1995)
Kleptomania (Latvia, 1997)
Elza and Artus (10´, Latvia, 1998)
With Grass on Your Mind (50´, Latvia, 2002)
Sekotāji/ The Followers (66´, Latvia, 2003)
Tarps/ The Worm (71´, Latvia, 2005)
Medibas (120´, Latvia, 2009)


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Latest Comments
"The Hushabye Shell Afghan is a beautiful blanket that would be a great shower gift. The pattern is an easy shell stitch and the colts are great for a boy or girl. I am sure that it will keep baby nice and warm. It is made with a nice four ply yarn and should work up fast. This one to save for a later date."
"The wavy rainbow baby blanket is one of the cutest that I have seen. The colors are so bright that a baby will enjoy looking at it. The blanket could also be worked up in other colors that would be great for that special little one. this is not for a beginner, so if this is your first try at crocheting you may not want to try it. Looking forward to working on this."
"The Springtime Lace Afghan Pattern is so cute. It will make a great baby blanket for that special baby. This could be made in many different colors that will really be pretty. The pattern reads really easy and a beginner could do this.I am looking forward to to this project in the very near future."
"he Cape Cod Afghan is really a cute pattern. It would be a great one for beginners. The pattern only calls for two skeins of yarn. The pattern reads really easy. This could also be used as a baby blanket and would look great in one of those baby colors. This is one pattern that I will definitely save for a later project down the road."
Misty Blue Rose Wrap
By: Linda Cyr for Red Heart Harn
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This Misty Blue Rose Wrap is perfect as an evening wrap shawl. This easy crochet pattern from Red Heart Yarn can be embellished with roses or just left as is. The best thing about this wrap is that you can easily dress it up or down, so it's a great fashion staple.
- RED HEART® Shimmer: 2 skeins 1810 Royal A
- RED HEART® Sashay™: 1 skein 1934 Rhumba B
- Crochet Hook: 5mm [US H-8]
- Yarn needle
GAUGE: With A, 4 clusters and 7 rows = 4" in pattern st. CHECK YOUR GAUGE. Use any size hook to obtain the gauge.
SPECIAL STITCH shell: (2 dc, ch 1, 2 dc) in same st or space
- With A, ch 35
- Row 1: Shell in 5th ch from hook, *skip next 3 ch sts, shell in next ch, repeat from * across to last 2 ch sts, skip next ch, dc in last ch, turn—8 shells.
- Row 2: Ch 3 (counts as dc here and throughout), skip first 3 dc, shell in ch-1 space of each shell across, dc in top of beginning ch, turn.
- Repeat row 2 until piece measures 56" from beginning.
- Fasten off.
Small Rose (make 4):
- Cut a 36" long piece of B.
- Unroll the yarn so that the edge with a row of holes is visible. Treat the row of holes as a chain. Insert the crochet hook into the first hole, skip 2 holes, insert hook into next hole, pull this st through the first st on the hook. Continue to chain in this manner across the piece of yarn. Finish by pulling end of yarn through last st. Roll ruffle to create a rose. Cut an 18" piece of A, thread onto yarn needle. Sew through rolled rose in several places to secure.
Large Rose (make 2):
- Cut a 60" piece of B. Complete as small rose.
- Sew 2 small roses and 1 large rose to each end of wrap.
- Weave in ends.
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Mark Messier New York Rangers 1994 Replica Blue Home Jersey
$1,299.98with Frame
Customize your frame
$799.99without Frame
Hockey Hall of Famer Mark Messier has personally hand-signed this Rangers 1994 replica blue home jersey. Steiner Sports is the Exclusive Memorabilia Provider of Mark Messier.
- 100% Guaranteed Authentic
- Includes Steiner Sports Certificate of Authenticity
- Features Tamper-Evident Steiner Hologram
- Perfect Collector's Item


text:
Click here to print the obituary below
Howard F. Miller
Howard F. Miller, father, and grandfather, 74, of Tamaqua, died Saturday, Oct. 6, in the St. Luke Hospital, Fountain Hill, surrounded by his family, after a courageous fight against cancer.
He was the husband of the late Donna Lee (Semko) Miller, who died Dec. 24, 2008.
A 1955 graduate of Tamaqua High School, he entered the Marine Corps at 17 years of age upon graduation. Satisfying his service to his country, he returned home, graduating from Goldie Beacon Business School, Wilmington, Del., with an associate degree in accounting and business administration.
He owned the North Central Development Corporation, which was responsible for introducing high-rise development for low-to-middle income residents in the coal regions of Pennsylvania. His first two builds were in Shamokin and Tamaqua. He later would become the property manager of these and other properties. Recently, he operated Omni Capital Ventures.
An active member of the First United Methodist Church, Tamaqua, he helped to establish the Tamaqua Knee- Hi Football program. He was a longtime president of the Tamaqua Y.M.C.A.; a member of the Tamaqua Elks and T.P.A. of America, Anthracite Chapter; and a past president of the former Mahoning Valley Country Club.
An avid golfer, he was a proud supporter of all coal region high school sports teams, traveling near and far in support of the local teams.
Born in Palmerton, he was a son of the late Claude E. and Mabel E. (Rieman) Miller.
Surviving are a daughter, Cindy J., and her partner, Karen A. Deininger of London, England; a son, Howard C. "Howie," and his wife, Corinne, of Tamaqua; a twin brother, Edwin S., and his wife, Dolores, of Mahanoy City; three grandchildren, Dair, Tucker and Kendle, who affectionately called him "Pop;" and his mother-in-law, E. Jane Semko of Tamaqua.
He was also preceded in death by a brother, Russell F., who died on Nov. 4, 2007.
Arrangements are being handled by E. Franklin Griffiths Funeral Home, Inc., 655 East Broad Street Tamaqua, Pa., where the family will receive friends from 5 pm to 8 pm Thursday, October 11, 2012.
Interment with military honors will be conducted at the Odd Fellows Cemetery, Tamaqua, at 10 a.m. Friday, Oct. 12, followed by a Celebration of Life at 11 a.m. in the First United Methodist Church, Tamaqua, with the Rev. James Cavallero officiating. Call 5-8 p.m. Thursday, E. Franklin Griffiths Funeral Home, 655 E. Broad St., Tamaqua. Contributions in his name may be made to the church, 124 W. Broad St., Tamaqua, Pa. 18252, or Tamaqua High School Athletics, 500 Penn St., Tamaqua, Pa. 18252. Online registry and condolences may be signed at


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What is a Windows Shortcut ?
Shortcuts are links you place on your computer desktop or task bars etc so that you can go to the actual file or folder without having to navigate through the Windows Explorer. To place a shortcut on your desk top is very simple. Go to any folder or a file you want however deep inside the folders your file is using Windows Explorer. Right click on the file or folder you want a short cut on the desktop and select the option "Send to". This will show you more options like Desktop, CD/DVD, Document etc. Click on Desktop and a small 1 kb link is placed on the desktop which will have a small blue curved arrow on the left bottom. Now you just need to click on this shortcut and the file or folder nested deep inside many folders will open. Shortcuts save time and effort. The Start Button on the left bottom of your computer is actually a pool of shortcuts organized into various categories like Accessories, Microsoft etc. You click on the shortcuts there and it takes you to the original programs nested in C:/Windows/system32/ folder or some other folders.
How Windows Shortcut Errors Slows Your Computer Speed ?
Consider that you accidentally deleted the folder for which you have created a shortcut on the desktop. Now if you double click the shortcut placed on the desktop, Windows will start searching for the file or folder which you have deleted and will not be able to find it or open it. Windows will now keep searching and you see that your computer is busy and not responding to your mouse and keyboard inputs. Windows has an inbuilt time of 20 seconds for which it will remain in the confused state trying to look for this missing file after which it will give a warning that the file is deleted or not accessible or just hang up which you call computer freeze. In effect, your computer wasted a lot of time looking for a file which no more exists in the location the shortcut is pointing. This also could happen if you shift the original file to another location instead of deleting it. Windows does not look for this missing folder or correct the shortcut error itself. This is just an example of a shortcut you placed on the desktop. Every Software you install into your computer and Windows itself places hundreds of shortcuts in your computer without your knowledge. Any of these shortcuts could lead to a problem and slow down your computer performance.
How to Fix Shortcuts & Speedup Computer Performance ?
You will need a professional software like SpeedyPC Pro which has an intelligent algorithm which detects this kind of shortcut errors and repairs the broken shortcuts automatically. All that you need to do is Download the software and install it on your computer. When you run SpeedyPC it will ask you for a scan. Once the scan which takes just about a minute, SpeedyPC Pro will display a list of all shortcut errors as well as hundreds of other errors existing in your computer which needs to be fixed to restore your computer back to its original rated speed.
Can I Manually Fix Shortcut Errors ?
Yes. To fix shortcut errors yourself manually, you will need to first find each and every shortcut in your computer, right click on it and then click on the Properties. Now click on the Shortcut tab on top and in the bottom you will find Open File Location tab. Click on it to open the folder where the actual file is supposed to be. If you find the file there it is OK otherwise you will have to point at the correct file location or otherwise delete the shortcut and make a new shortcut from the file or folder where it is now located by right clicking and selecting Create Shortcut option. If there 200 shortcuts in your computer then you will have to do this procedure 200 times. And once a week or so keep checking all the 200 shortcut links and correct the wrong ones once again. The whole purpose of having a shortcut is lost if you repeat a procedure 200 times. The solution is to use a professional software. I recommend Download SpeedyPC Pro – which is an all in one computer repair and performance optimizer software capable of repairing all your computer errors and Speedup Computer for High Performance.


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The Wellness Guys' Show are a fun filled half hour of education, information and inspiration from three of Australia's top wellness experts sharing their unique knowledge on the why, the what and the how of acheiving ultimate health and wellness.
March 17th, 2013
Episode 89 of 299 episodes
This week The Wellness Guys interview Sean Croxton, host of the amazing podcast show Underground Wellness. Sean shares with the boys his unique philosophy around health and wellbeing including his world famous catch cry JERF (Just Eat Real Food). In this in depth interview Sean and the guys cover the importance of 'just the right…
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Welcome to the daily audio workout for your head.


text: Home > Business Etihad's profit up 48 pct to $62-M in 2013 Agence France-Presse Posted at Mar 03 2014 08:20 PM | Updated as of Mar 04 2014 04:20 AM Share Save Facebook Twitter GPlus LinkedIn Pinterest ABU DHABI - Etihad Airways, the fast-growing carrier of Abu Dhabi, said Monday it posted a 48 percent increase in its net profit last year, reaching $62 million, as revenues surged 27 percent to $6.1 billion. "This marked the third successive year of net profitability, in the airline's tenth year of operation," said the carrier in a statement. Net profit was up from $42 million registered in 2012, said the company that operates an 89-plane fleet and serves 94 destinations. "This is another important step forward in our journey as a growing, commercially successful business," said Etihad's chief executive officer James Hogan. "We have hit every financial target for each of the last seven years, bringing sustainable profitability to a business which has grown from just US$300 million in revenues in 2005 to more than US$6 billion today," he added. Started in 2003, Etihad is expanding rapidly and has bought minor shares in several smaller carriers around the world as it competes with larger Gulf rivals Emirates and Qatar Airways. It said last month that it has entered the final stage of an assessment whether to purchase a stake in Italy's debt-laden airline Alitalia. Etihad owns 29 percent of Air Berlin, 40 percent of Air Seychelles, 19.9 percent of Virgin Australia and three percent of Aer Lingus. It also owns a 24-percent stake in India's Jet Airways, and 33.3 percent in the Swiss carrier Etihad Regional, formerly known as Darwin Airline. © 1994-2014 Agence France-Presse Share Save Facebook Share on Twitter GPlus LinkedIn Pinterest Read More: airline aviation plane Agence France-Presse abu dhabi Etihad Airways world business /news/02/28/17/hijackers-killed-in-iligan-part-of-maute-group-police-official-says/life/02/28/17/ex-president-quirino-and-wifes-love-letters-on-display-in-syquia-mansion/news/02/28/17/pdea-afp-ink-cooperation-in-anti-drug-ops/news/02/28/17/germany-condemns-beheading-of-abu-sayyaf-hostage/news/02/28/17/look-8-year-old-boy-reunited-with-parents-after-7-months-in-captivity


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HANGFIRE: Graffiti and Street Art Gallery. Creative Team. Bristol. UK.
HANGFIRE is a Bristol based art gallery and design studio specialising in graffiti art, street art and contemporary art styles. We create internal and external murals, large format printing, branding and graphic decoration. We have a wide selection of original artwork, prints, clothing, magazines and spray paint in stock to shop online or in store.
HANGFIRE is a Bristol based art gallery, specialising in contemporary urban and graffiti art styles, including the sell of original and printed artworks, printed publications, clothing. We present a solid program of exhibitions and events throughout the year, exhibiting with both emerging and established artists. Take a tour of the website or if you are in the area, step in and have a look around.
> HANGFIRE, 49 North Street, Bedminster, Bristol. BS3 1EN <
During 2013-14 Hangfire provided a few opportunities for graffiti artists, ROIDS, SATONE & 45RPM to paint using only aerosol, directly onto a Boeing 737 and a Learjet.
From our very first Halloween themed pop up, to curating an exhibition with Mark Bodé. From here you can look back at all our previous and future exhibitions.
Browse online to check out the latest magazines, artworks and clothing, all available to shop online or to purchase at the gallery.


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This lesson from EDSITEment examines the early Civil Rights Era through the lens of popular music. The lesson will highlight the role of music as a major influence through the use of audio recordings, photographs, and primary documents. Students will participate in their own oral history, examine lyrics, and work with case studies such as the Freedom Rides to gain an appreciation of how music influenced the early 1960s.
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Ted Bury
Ted Bury
Cheltenham UK / Ex compositor in the Print trade working with hot metal type, Christian, musician, all things except Sport
More ideas from Ted
Stunning Lightning strike
Really true just this past Monday I realized I needed to get away from everyone so I found one of my favorite books, The Tenth Circle by Jodi Picoult, and started reading it to escape from the world around.
Images of art, design, fashion and fancy. 20 images of the same tone or color in a row. over and over and over again. Straight from a modern mother in the fine city of Portland, OR. Check out my other blog art,fashion and interior design Find me on...
Above all things have intense love for one another, for love covers a multitude of sins. - 1 Peter 4:8
Amazing Grace How Sweet the Sound~~~
Avebury as it once was
Luke 6:31 Do to others as you would like them to do to you.


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i want to die in a cloud of fireflies
and drink deepsea-green tea to relax and fight off the bitter moods that are making my head ache.
i swear the smoke floating in front of me is moving with the music.
tonight feels perfect and consists of much needed alone time, i wish every winter night could feel like this. when the sun goes down i want to curl up in this spot by the window with incense smoke brushing against my face and the orange glow of city lights lending warmth to the sky. with tea on my lips and blades to play with.
i feel change under my skin.in the muscle.moving with my actions.
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7, October 2010
RACHSU Algorithm based Handwritten Tamil Script Recognition
Department of Information Technology, J.K.K.Nataraja College of Engineering, Namakkal, Tamilnadu, India. Email: email@example.com
Abstract- Handwritten character recognition is a difficult problem due to the great variations of writing styles, different size and orientation angle of the characters. The scanned image is segmented into paragraphs using spatial space detection technique, paragraphs into lines using vertical histogram, lines into words using horizontal histogram, and words into character image glyphs using horizontal histogram. The extracted features considered for recognition are given to Support Vector Machine, Self Organizing Map, RCS, Fuzzy Neural Network and Radial Basis Network. Where the characters are classified using supervised learning algorithm. These classes are mapped onto Unicode for recognition. Then the text is reconstructed using Unicode fonts. This character recognition finds applications in document analysis where the handwritten document can be converted to editable printed document. Structure analysis suggested that the proposed system of RCS with back propagation network is given higher recognition rate. Keywords - Support Vector, Fuzzy, RCS, Self organizing map, Radial basis function, BPN
Department of Computer Science & Engineering, Hindustan Institute of Technology, Coimbatore, Tamilnadu, India Email: firstname.lastname@example.com describing the language of the classical period. There are several other famous works in Tamil like Kambar Ramayana and Silapathigaram but few supports in Tamil which speaks about the greatness of the language. For example, Thirukural is translated into other languages due to its richness in content. It is a collection of two sentence poems efficiently conveying things in a hidden language called Slaydai in Tamil. Tamil has 12 vowels and 18 consonants. These are combined with each other to yield 216 composite characters and 1 special character (aayutha ezhuthu) counting to a total of (12+18+216+1) 247 characters. Tamil vowels are called uyireluttu (uyir – life, eluttu – letter). The vowels are classified into short (kuril) and long (five of each type) and two diphthongs, /ai/ and /auk/, and three "shortened" (kuril) vowels. The long (nedil) vowels are about twice as long as the short vowels. Tamil consonants are known as meyyeluttu (mey - body, eluttu - letters). The consonants are classified into three categories with six in each category: vallinam - hard, mellinam - soft or Nasal, and itayinam - medium. Unlike most Indian languages, Tamil does not distinguish aspirated and unaspirated consonants. In addition, the voicing of plosives is governed by strict rules in centamil. As commonplace in languages of India, Tamil is characterised by its use of more than one type of coronal consonants. The Unicode Standard is the Universal Character encoding scheme for written characters and text. The Tamil Unicode range is U+0B80 to U+0BFF. The Unicode characters are comprised of 2 bytes in nature. II. TAMIL CHARACTER RECOGNITION The schematic block diagram of handwritten Tamil Character Recognition system consists of various stages as shown in figure 1. They are Scanning phase, Preprocessing, Segmentation, Feature Extraction, Classification, Unicode mapping and recognition and output verification. A. Scanning A properly printed document is chosen for scanning. It is placed over the scanner. A scanner software is invoked which scans the document. The document is sent to a program that saves it in preferably TIF, JPG or GIF format, so that the image of the document can be obtained when needed.
I. INTRODUCTION Hand written Tamil Character recognition refers to the process of conversion of handwritten Tamil character into Unicode Tamil character. Among different branches of handwritten character recognition it is easier to recognize English alphabets and numerals than Tamil characters. Many researchers have also applied the excellent generalization capabilities offered by ANNs to the recognition of characters. Many studies have used fourier descriptors and Back Propagation Networks for classification tasks. Fourier descriptors were used in to recognize handwritten numerals. Neural Network approaches were used to classify tools. There have been only a few attempts in the past to address the recognition of printed or handwritten Tamil Characters. However, less attention had been given to Indian language recognition. Some efforts have been reported in the literature for Tamil scripts. In this work, we propose a recognitionsystem for handwritten Tamil characters.Tamil is a South Indian language spoken widely in TamilNadu in India. Tamil has the longest unbroken literary tradition amongst the Dravidian languages. Tamil is inherited from Brahmi script. The earliest available text is the Tolkaappiyam, a work
http://sites.google.com/site/ijcsis/ ISSN 1947-5500
(IJCSIS) International Journal of Computer Science and Information Security, Vol. 8, No. 7, October 2010
B.Preprocessing This is the first step in the processing of scanned image. The scanned image is preprocessed for noise removal. The resultant image is checked for skewing. There arepossibilities of image getting skewed with either left or right orientation. Here the image is first brightened and binarized. The function for skew detection checks for an angle of orientation between ±15 degrees and if detected then a simple image rotation is carried out till the lines match with the true horizontal axis, which produces a skew corrected image. Scan the Document Preprocessing
Segmentation Classification (RCS)
Feature Extraction
Unicode Mapping
Recognize the Script
Figure 1. Schematic block diagram of handwritten Tamil Character Recognition system
strength of such a line varies with changes in language and script type. Scholkopf, Simard expand on this method, breaking the document image into a number of small blocks, and calculating the dominant direction of each such block by finding the Fourier spectrum maxima. These maximum values are then combined over all such blocks and a histogram formed. After smoothing, the maximum value of this histogram is chosen as the approximate skew angle. The exact skew angle is then calculated by taking the average of all values within a specified range of this approximate. There is some evidence that this technique is invariant to document layout and will still function even in the presence of images and other noise. The task of smoothing is to remove unnecessary noise present in the image. Spatial filters could be used. To reduce the effect of noise, the image is smoothed using a Gaussian filter. A Gaussian is an ideal filter in the sense that it reduces the magnitude of high spatial frequencies in an image proportional to their frequencies. That is, it reduces magnitude of higher frequencies more. Thresholding is a nonlinear operation that converts a gray scale image into a binary image where the two levels are assigned to pixels that are below or above the specified threshold value. The task of thresholding is to extract the foreground from the background. Global methods apply one threshold to the entire image while local thresholding methods apply different threshold values to different regions of the image. Skeletonization is the process of peeling off a pattern as any pixels as possible without affecting the general shape of the pattern. In other words, after pixels have been peeled off, the pattern should still be recognized. The skeleton hence obtained must be as thin as possible, connected and centered. When these are satisfied the algorithm must stop. A number of thinning algorithms have been proposed and are being used. Here Hilditch's algorithm is used for skeletonization. C. Segmentation After preprocessing, the noise free image is passed to the segmentation phase, where the image is decomposed [2] into individual characters. Figure 2 shows the image and various steps in segmentation. D.Feature extraction The next phase to segmentation is feature extraction where individual image glyph is considered and extracted for features. Each character glyph is defined by the following attributes: (1) Height of the character. (2) Width of the character. (3) Numbers of horizontal lines present short and long. (4) Numbers of vertical lines present short and long. (5) Numbers of circles present. (6) Numbers of horizontally oriented arcs. (7) Numbers of vertically oriented arcs. (8) Centroid of the image. (9) Position of the various features. (10) Pixels in the various regions. II. NEURALNETWORK APPROACHES The architecture chosen for classification is Support Vector machines, which in turn involves training and testing the use
Knowing the skew of a document is necessary for many document analysis tasks. Calculating projection profiles, for example, requires knowledge of the skew angle of the image to a high precision in order to obtain an accurate result. In practical situations, the exact skew angle of a document is rarely known, as scanning errors, different page layouts, or even deliberate skewing of text can result in misalignment. In order to correct this, it is necessary to accurately determine the skew angle of a document image or of a specific region of the image, and, for this purpose, a number of techniques have been presented in the literature. Figure 1 shows the histograms for skewed and skew corrected images and original character. Postal found that the maximum valued position in the Fourier spectrum of a document image corresponds to the angle of skew. However, this finding was limited to those documents that contained only a single line spacing, thus the peak was strongly localized around a single point. When variant line spacing's are introduced, a series of Fourier spectrum maxima are created in a line that extends from the origin. Also evident is a subdominant line that lies at 90 degrees to the dominant line. This is due to character and word spacing's and the
http://sites.google.com/site/ijcsis/ ISSN 1947-5500
(IJCSIS) International Journal of Computer Science and Information Security, Vol. 8, No. 7, October 2010
of Support Vector Machine (SVM) classifiers [1]. SVMs have achieved excellent recognition results in various pattern recognition applications. Also in handwritten character recognition they have been shown to be comparable or even superior to the standard techniques like Bayesian classifiers or multilayer perceptrons. SVMs are discriminative classifiers based on vapnik's structural risk minimization principle. Support Vector Machine (SVM) is a classifier which performs classification tasks by constructing hyper planes in a multidimensional space. A.Classification SVM Type-1 For this type of SVM, training involves the minimization of the error function:
weight vector of the same dimension as the input data vectors and a position in the map space. The usual arrangement of nodes is a regular spacing in a hexagonal or rectangular grid. The self organizing map describes a mapping from a higher dimensional input space to a lower dimensional map space. C.Algorithm for Kohonon's SOM (1)Assume output nodes are connected in an array, (2)Assume that the network is fully connected all nodes in input layer are connected to all nodes in output layer. (3) Use the competitive learning algorithm. | ωi − x |≤| ωκ − x | ∀κ (5)
wk (new) = wk (old ) + μχ (i, k )( x − w k ) (6)
Randomly choose an input vector x, Determine the "winning" output node i, where wi is the weight vector connecting the inputs to output node. A new neural classification algorithm and Radial- BasisFunction Networks are known to be capable of universal approximation and the output of a RBF network can be related to Bayesian properties. One of the most interesting properties of RBF networks is that they provide intrinsically a very reliable rejection of "completely unknown" patterns at variance from MLP. Furthermore, as the synaptic vectors of the input layer store locationsin the problem space, it is possible to provide incremental training by creating a new hidden unit whose input synaptic weight vector will store the new training pattern. The specifics of RBF are firstly that a search tree is associated to a hierarchy of hidden units in order to increase the evaluation speed and secondly we developed several constructive algorithms for building the network and tree. D. RBFCharacter Recognition In our handwritten recognition system the input signal is the pen tip position and 1-bit quantized pressure on the writing surface. Segmentation is performed by building a string of "candidate characters" from the acquired string of strokes [16]. For each stroke of the original data we determine if this stroke does belong to an existing candidate character regarding several criteria such as: overlap, distance and diacriticity. Finally the regularity of the character spacing can also be used in a second pass. In case of text recognition, we found that punctuation needs a dedicated processing due to the fact that the shape of a punctuation mark is usually much less important than its position. it may be decided that the segmentation was wrong and that back tracking on the segmentation with changed decision thresholds is needed. Here, tested two encoding and two classification methods. As the aim of the writer is the written shape and not the writing gesture it is very natural to build an image of what was written and use this image as the input of a classifier. Both the neural networks and fuzzy systems have some things in common. They can be used for solving a problem (e.g. pattern recognition, regression or density estimation) if there does not exist any mathematical model of
1 T w w + c ∑ ξi (1) 2 i −1
subject to the constraints:
yi ( wT φ ( xi ) + b) ≥ 1 − ξ i andξ i ≥ 0, i = 1,..., N (2)
Where C is the capacity constant, w is the vector of Coefficients, b a constant and ξi are parameters for handling no separable data (inputs). The index i label the N training cases [6, 9]. Note that y±1 represents the class labels and xi is the independent variables. The kernel φ is used to transform data from the input (independent) to the feature space. It should be noted that the larger the C, the more the error is penalized. B.Classification SVM Type-2 In contrast to Classification SVM Type 1, the Classification SVM Type 2 model minimizes the error function:
1 T 1 N w w − vρ + ∑ ξi (3) N i −1 2
subject to the constraints:
yi ( wT φ ( xi ) + b) ≥ ρ − ξ i andξ i ≥ 0, i − 1,..., N ; ρ ≥ 0
(4) A self organizing map (SOM) is a type of artificial neural network that is trained using unsupervised learning to produce a low dimensional (typically two dimensional), discredited representation of the input space of the training samples, called a map. Self organizing maps are different than other artificial neural networks in the sense that they use a neighborhood function to preserve the topological properties of the input space. This makes SOM useful for visualizing low dimensional views of high dimensional data, akin to multidimensional scaling. SOMs operate in two modes: training and mapping. Training builds the map using input examples. It is a competitive process, also called vector quantization [7]. Mapping automatically classifies a new input vector. The self organizing map consists of components called nodes or neurons. Associated with each node is a
http://sites.google.com/site/ijcsis/ ISSN 1947-5500
(IJCSIS) International Journal of Computer Science and Information Security, Vol. 8, No. 7, October 2010
the given problem. They solely do have certain disadvantages and advantages which almost completely disappear by combining both concepts. Neural networks can only come into play if the problem is expressed by a sufficient amount of observed examples [12]. These observations are used to train the black box. On the one hand no prior knowledge about the problem needs to be given. However, it is not straightforward to extract comprehensible rules from the neural network's structure. On the contrary, a fuzzy system demands linguistic rules instead of learning examples as prior knowledge. Furthermore the input and output variables have to be described linguistically. If the knowledge is incomplete, wrong or contradictory, then the fuzzy system must be tuned. Since there is not any formal approach for it, the tuning is performed in a heuristic way. This is usually very time consuming and error prone. E. Hybrid Fuzzy Neural Network Hybrid Neuro fuzzy systems are homogeneous and usually resemble neural networks. Here, the fuzzy system is interpreted as special kind of neural network. The advantage of such hybrid NFS is its architecture since both fuzzy system and neural network do not have to communicate any more with each other. They are one fully fused entity [14]. These systems can learn online and offline. The rule base of a fuzzy system is interpreted as a neural network. Thus the optimization of these functions in terms of generalizing the data is very important for fuzzy systems. Neural networks can be used to solve this problem. F. RACHSU Script Recognition Once a boundary image is obtained then Fourier descriptors are found. This involves finding the discrete Fourier coefficients a[k] and b[k] for 0 ≤ k ≤ L-1, where L Is the total number of boundary points found, by applying equations (7) and (8)
The Fourier coefficients a (n), b (n) and the invariant descriptors s (n), n = 1, 2....... (L-1) were derived for all of the character specimens [5]. G.RACHSU Algorithm The major steps of the algorithm are as follows: 1. Initialize all Wij s to small random values with Wij being the value of the connection weight between unit j and unit i in the layer below. 2. Present the 16-dimensional input vector y0, input vector consists of eight fourier descriptors and eight border transition values. Specify the desired outputs. If the net is used as a classifier then all desired outputs are typically set to zero except for that corresponding to the class the input is from. 3. Calculate the outputs yj of all the nodes using the present value of W, where Wij is the value of connection weight between unit j and the unit4 in the layer below:
yi =
1 (11) 1 + exp(−∑ yi wij )
This particular nonlinear function is called a function sigmoid 4.Adjust weights by :
Wij (n + 1) = Wij (n) + αδ j yi + ξ (Wij (n) − Wij (n − 1)) where0 < ξ < 1
(12) where (n+l), (n) and (n-1) index next, present and previous, respectively. The parameter ais a learning rate similar to step size in gradient search algorithms, between 0 and 1 which determines the effect of past weight changes on the current direction of movement in weight space. Sj is an error term for node j. If node j is an output node, dj and yi stand for, respectively, the desired and actual value of a node, then δ i = (d j − yi ) yi (1 − yi ) (13) If node j is an internal hidden node, then :
a[k ] − 1 / L ∑ x[m]e
m =1 L
− jk ( 2π / L ) m
δj = y j (1 − y j )∑ δ k wk
b[k ] = 1 / L ∑ y[m]e jk ( 2π / L ) m (8)
m =1
Where x[m] and y[m] are the x and y co-ordinates respectively of the mth boundary point. In order to derive a set of Fourier descriptors that have the invariant property with respect to rotation and shift, the following operations are defined [3,4]. For each n compute a set of invariant descriptors r (n).
Where k is over all nodes in the layer above node j. 5. Present another input and go back to step (2). All the training inputs are presented cyclically until weights stabilize (converge). H.Structure Analysis of RCS The recognition performance of the RCS will highly depend on the structure of the network and training algorithm. In the proposed system, RCS has been selected to train the network [8]. It has been shown that the algorithm has much better learning rate. Table 1 shows the comparison of various approach classification. The number of nodes in input, hidden and output layers will determine the network structure.
(n ) = [a (n ) 2 + b (n ) 2 ]
1/ 2
It is easy to show that r (n) is invariant to rotation or shift. A further refinement in the derivation of the descriptors is realized if dependence of r (n) on the size of the character is eliminated by computing a new set of descriptors s (n) as s n = r n / r 1 (10)
( ) ()
Type of classifier
http://sites.google.com/site/ijcsis/ ISSN 1947-5500
(IJCSIS) International Journal of Computer Science and Information Security, Vol. 8, No. 7, October 2010
0.001 0.02 0.06 0.04 0
91% 88% % 90% 88% % 97%
ly, g d 97%. Understandabl the training set produced much higher nition rate than the test set. S n Structure analy suggested ysis recogn that R RCS with 5 hid dden nodes has lower number of epochs as s r well a higher recognition rate. as IV. CONCLU USION Chara acter Recogniti ion is aimed at recognizing handwritten g Tamil document. T input docu l The ument is read preprocessed, feature extracted an recognized and the recog nd gnized text is ayed in a pictu box. The T ure TamilCharacte Recognition er displa is imp plemented usin a Java Neura Network. A complete tool ng al bar is also provide for training, recognizing and editing s ed g option Tamil is an ancient langua Maintainin and getting ns. age. ng the co ontents from an to the book is very difficult. In a way nd ks Chara acter Recognit tion provides a paperless environment. Chara acter Recognit tion provides knowledge exchange by easier means. If a k knowledge bas of rich Tam contents is se mil ed, accessed by pe eople of varyi categories ing create it can be a with e ease and comfo ort.
100 50 0
91 88 90 88 97
Figure 2 Character Recognitio Efficiency and E on Error report
Number of Hidd Layer Node den es I.N The number of hidden node will heavil influence t e es ly the net twork perform mance. Insuffic cient hidden n nodes will cau use und fitting whe the network cannot recog der ere k gnize the nume eral bec cause there are not enough ad djustable param meter to model or to map the inpu output relationship. Figu 2 shows t ut ure the aracter recogn nition efficien ncy and err ror report. T The cha min nimum number of epochs tak to recogniz a character a r ken ze and recognition effici iency of trainin as well as t character set ng test of des sed as the number o hidden nod is varied. In the propos stem the trainin set recognit ng tion rate is ach hieved and in t the sys test set the recog t gnized speed fo each charac is 0.1sec a or cter and acc curacy is 97% The trainin set produce much high %. ng ed her recognition rate t than the test se Structure an et. nalysis suggest ted at en ognition rate.H Hence Unicode is tha RCS is give higher reco cho osen as the en ncoding schem for the cu me urrent work. T The sca anned image is passed throug various blo s gh ocks of functio ons and finally comp d pared with the recognition details from t e the ma apping table from which corresponding unicodes a g are acc cessed and prin nted using stan ndard Unicode fonts so that t the Cha aracter Recogn nition is achiev ved. III. EXPERIMEN NTAL RESULTS e ourier descript tors feature is independent of s The invariant Fo pos sition, size, an orientation. With the com nd mbination of RC CS and back propag d gation network a high accu k, uracy recogniti ion sys stem is realize The trainin set consist of the writi ed. ng ts ing sam mples of 25 us sers selected at random from the 40, and t t m the test set, of the re t emaining 15 users. A portion of the traini u ing dat was also us to test the system. In th training set, a ta sed he recognition rate o 100% was achieved and i the test set t of a in the d racter is 0.1sec and accuracy is c y recognized speed for each char
esearchers wou like to than S. Yasodha and Avantika uld nk The re for his assistance in the data collection an manuscript nd prepar ration of this ar rticle.
NCES REFERENC B. B Heisele, P. Ho, and T. Poggio, "C Character Recogni ition with Support Vector Machines: Global Versus Component Base Approach," in V ed ICCV, 2006, vol. 0 no. 1. pp. 688– I 02, –694. [2]Julie D Delon, Agnès Des solneux, "A Nonp parametric Approa for Histogram ach Segmentation," IE S EEE Trans. On im mage processing., v 16, no. 1, pp. vol. 235-241. 2007 2 [3] B. B Sachine, P. M Manoj, M.Ramya "Character Se a, egmentations," in Advances in Neural Inf. Proc. Systems, vol. 10. M Press, 2005, A MIT vol.01, no 02 pp. 6 v 610–616. [4] O. O Chapelle, P. Haffner, and V. Va apnik, "SVMs for Histogram-based Image Classificatio I on," IEEE Transactions on Neural N Networks, special issue on Support V i Vectors, vol 05, no 01, pp. 245-252, 2 2007. [5] Sim mone Marinai, Mar Gori, "Artifici Neural Networ for Document rco ial rks Analysis and A Recognition "IEEE Transactions on pattern analysis R E n and a machine intell ligence, vol.27, no Jan 2005, pp. 6 o.1, 652-659. [6] M. M Anu, N. Viji, and M. Suresh, "Segmentatio Using Neural on Network," IEEE T N Trans. Patt. Anal. M Mach. Intell., vol. 23, pp. 349–361, 2006. 2 [7] B. B Scholkopf, P. S Simard, A. Smola, and V. Vapnik, " "Prior Knowledge in i Support Vector Kernels," in Adva ances in Neural In Proc. Systems, nf. vol. v 10. MIT Press 2007, pp. 640–64 s, 46. [8] Olivier Chapelle, Patrick Haffner, " O "SOM for Histog gram-based Image Classification," IE C EEE Transactions o Neural Networ 2005. Vol 14 on rks, no n 02, pp. 214-230 0. [9] S. S Belongie, C. Fo owlkes, F. Chung, and J. Malik, "Spe ectral Partitioning with w Indefinite Ke ernels Using the N Nystrom Extention in ECCV, part n," III, I Copenhagen, D Denmark, 2006, vo 12 no 03, pp. 12 ol 23-132 [10] T. Evgeniou, M. P Pontil, and T. Pog ggio, "Regularizati Networks and ion Support Vector M S Machines," Advanc in Computatio ces onal Mathematics, vol. v 13, pp. 1–11, 2 2005. [11]P.B Bartlettand, J.Shaw Taylor, "Gene we eralization perform mance of f support vector ma s achines and other p pattern classifiers, in Advances in ," [1]
http://sites.google.com/site/ijcsis/ ISSN 1947-5500
(IJCSIS) International Journal of Computer Science and Information Security, Vol. 8, No. 7, October 2010
Kernel Methods Support Vector Learning. 2008, MIT Press Cambridge, USA, 2002, vol 11 no 02, pp. 245-252. [12] E.Osuna, R.Freund, and F.Girosi, "Training Support Vector machines: an application to face detection," in IEEE CVPR'07, Puerto Rico, vol 05 no 01, pp. 354-360, 2007. [13] V. Johari and M. Razavi, "Fuzzy Recognition of Persian Handwritten Digits," in Proc. 1st Iranian Conf. on Machine Vision and Image Processing, Birjand, vol 05 no 03, 2006, pp. 144-151. [14] P. K. Simpson, "Fuzzy Min-Max Neural Networks- Part1 Classification," IEEE Trans. Neural Network., vol. 3, no. 5, pp. 776-786, 2002. [15] H. R. Boveiri, "Scanned Persian Printed Text Characters Recognition Using Fuzzy-Neural Networks," IEEE Transaction on Image Processing, vol 14, no 06, pp. 541-552, 2009. [16] D. Deng, K. P. Chan, and Y. Yu, "Handwritten Chinese character recognition using spatial Gabor filters and self- organizing feature maps", Proc. IEEE Inter. Confer. On Image Processing, vol. 3, pp. 940-944, 2004.
AUTHORS PROFILE C.Sureshkumar received the M.E. degree in Computer Science and Engineering from K.S.R College of Technology, Thiruchengode, Tamilnadu, India in 2006. He is pursuing the Ph.D degree in Anna University Coimbatore, and going to submit his thesis in Handwritten Tamil Character recognition using Neural Network. Currently working as HOD and Professor in the Department of Information Technology, in JKKN College of Engineering and Technology, Tamil Nadu, India. His current research interest includes document analysis, optical character recognition, pattern recognition and network security. He is a life member of ISTE. Dr. T. Ravichandran received a Ph.D in Computer Science and Engineering in 2007, from the University of Periyar, Tamilnadu, India. He is working as a Principal at Hindustan Institute of Technology, Coimbatore, Tamilnadu, India, specialised in the field of Computer Science. He published many papers on computer vision applied to automation, motion analysis, image matching, image classification and view-based object recognition and management oriented empirical and conceptual papers in leading journals and magazines. His present research focuses on statistical learning and its application to computer vision and image understanding and problem recognition
http://sites.google.com/site/ijcsis/ ISSN 1947-5500


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Personnel: Angel Corpus Christi (accordion, vocals); Rich Stim (guitar, background vocals); Craig Leon (guitar, keyboards, programming); Vince Cerelli (accordion); Joel "Popeye" Jones (saxophone); Herb Alpert (trumpet); Nancy Kravitz (bass); Hal Blaine, Windy Wild (drums, percussion); Cassell Webb (background vocals).
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Sherry Szydlik, Lamont Wood
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English: The George Coulter House in Florence, Alabama is listed on the National Register of Historic Places.
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PLEASE NOTE: Registration for this workshop is still open to anyone who is able to bring his or her own laptop to this session for some basic word processing. Email Laura Forshay at firstname.lastname@example.com in order to be registered.
Strategic planning is an essential management tool for all archival programs. The barriers to creating and implementing a strategic plan, however, can seem insurmountable to solo and small-shop archivists. This workshop will provide an overview of the strategic planning process from the perspective of small archival program management, emphasizing relationships and community-building both within and outside of the archival program's parent organization. The presenter will engage workshop participants with a strategic review of various archival programs' mission statements, conversation about setting priorities and sticking to them, and instruction in crafting attainable and meaningful goals for archival programs. Participants will receive time and collegial support during the workshop to write key components of a strategic plan.
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Golden Age Hollywood screenwriter Charles Brackett was an extremely observant and perceptive chronicler of the entertainment industry during its most exciting years. He is best remembered as the writing partner of director Billy Wilder, who once referred to the pair as "the happiest couple in Hollywood," collaborating on such classics as The Lost Weekend (1945) and Sunset Blvd (1950).
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Brackett was also a producer, served as president of the Academy of Motion Picture Arts and Sciences and the Screen Writers Guild, was a drama critic for the New Yorker, and became a member of the exclusive literary club, the Algonquin Round Table. Slide provides a rare, front row seat to the Golden Age dealings of Paramount, Universal, MGM, and RKO and the innovations of legendary theater and literary figures, such as Alfred Lunt, Lynn Fontanne, Edna Ferber, and Dorothy Parker. Through Brackett's keen, witty perspective, the political and creative intrigue at the heart of Hollywood's most significant films comes alive, and readers will recognize their reach in the Hollywood industry today.
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