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BURLINGTON, Mass.--(BUSINESS WIRE)--Black Duck Software, the leading OSS Logistics solutions provider enabling the secure management of open source code, today announced the industry's most comprehensive open source security solution that helps security and development teams find and remediate open source vulnerabilities, the Black Duck Hub. The Black Duck Hub helps customers identify open source used within their code, identify known security vulnerabilities, and triage, schedule, and track remediation.
On average, more than 30 percent of software deployed in most enterprises is open source software (OSS); however, few organizations have visibility into what open source is used and where. With more than 4,000 new open source vulnerabilities reported each year, understanding what open source is used within an organization is critical. Thousands of unknown open source vulnerabilities go unnoticed within a typical enterprise. The Black Duck Hub identifies open source usage, maps known open source vulnerabilities, and tracks remediation efforts. The Black Duck Hub leverages Black Duck's KnowledgeBase of license and vulnerability data, the most comprehensive source of language coverage in the industry.
"As the leading provider of financial reporting and risk solutions, AxiomSL is committed to ensuring the elimination of possible security vulnerabilities through our software. While we continue to utilize a suite of world-class security software solutions, we always strive to be on the cutting-edge of available and emerging technologies," said Igor Lekht, SVP, AxiomSL. "For this reason, we selected Black Duck, a leading provider of open source security solutions, to bolster our existing arsenal of advanced security software by helping to further mitigate known open source security risks by monitoring for potential future vulnerabilities."
The Black Duck Hub runs as part of the build process, automatically discovering and identifying open source as it enters the code stream and flagging open source libraries that have known vulnerabilities. Vulnerability details are used to assess application and portfolio risk, in addition to open source license and community activity risk. Remediation scheduling and tracking enable security professionals to ensure that critical vulnerabilities are remediated.
"Most companies do not have an automated mechanism to identify new open source as it enters a code base. Moreover, they are unable to determine the actual risk and impact from vulnerabilities. Without this knowledge, companies have no way to triage and track vulnerability remediation efforts over time," said Bill Ledingham, EVP and CTO of Black Duck Software. "The Black Duck Hub helps security and development teams identify and mitigate open source related risks across an application portfolio. The product's ability to automatically detect and identify open source, and map known security vulnerabilities, helps organizations assess risk, prioritize issues, and track remediation. We are also providing extensive language coverage and dev-tools integration to embed open source controls throughout the software development life cycle."
Companies that benefit from the Black Duck Hub are security professionals and development teams looking for a rapid solution to understand open source software usage and mitigate open source security risk. For more information, visit https://www.blackducksoftware.com/products/black-duck-hub. Black Duck also announced details of its partnership with Risk Based Security today.
About the Leading OSS Logistics Provider
Black Duck Software is the leading OSS Logistics solution provider, enabling enterprises of every size to securely manage open source code and optimize the opportunities that come with open source adoption and management. As part of the greater open source community, Black Duck connects developers to comprehensive open source software (OSS) resources through The Black Duck Open Hub (formerly Ohloh) and to the latest commentary from industry experts through the Open Source Delivers blog. Black Duck is headquartered in Boston and has offices in San Mateo, London, Paris, Frankfurt, Hong Kong, Tokyo, Seoul, and Beijing. For more information about how to leverage open source to deliver faster innovation, greater creativity, and improved efficiency, visit www.blackducksoftware.com and follow the company at @black_duck_sw.


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New rule: People of the world who run go-kart tracks, you are no longer allowed to be play anything other than this dubsteppy rerub of The Bloody Beetroots and Steve Aoki's collab, "WARP". Then there will never be any need to get over the loudspeaker and remind the slowpokes that they must drive faster—their feet will remain glued to the pedals, all rhythmically speeding past one another. But maybe that's not a good idea. It's so fiery that instead, the little dingy karts would go so fast that each driver would end up in another dimension, one where your fist never leaves the air and you're brawling the dance floor, forever.
Free Mp3: The Bloody Beetroots (feat. Steve Aoki) – Warp (Dirtyphonics Dubstep Remix)
Posted by JimmyBoy

subset: commoncrawl


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Mike Germano
Joined team: January of 2011
How did you get involved? "I heard about it my sophomore year. Then my teacher was talking about it because she was excited for it because she was part of Purdue's team a few years ago. I couldn't join for a while because I could not get out of work but I knew I just had to make time so I joined the team in January."
Best part of working on the Homestead? "Conquering sleep...haha... The whole project is fun because everyone is fun to hang out with and we are doing something to better society."
What do you like to do outside of the team? "Sleep and relax outdoors"
Would you rather be a pirate or a ninja? "Definitely a pirate because they get to pillage the seas, drink rum, and have a great time sailing all day."
Would you rather play European football or American football; "European Football.. I played both in high school but I miss soccer more."
Rumor has it you have some kind of Christmas traditions? " H aha. Yeah I grow out my beard and dye it white and dressed up like Santa to go to school. It is a lot of fun!"
Mike has dedicated all his extra time outside of class and work to the Solar Homestead. He has been fantastic about setting the standard for commitment to the project. Thank you for working your pants off!


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Police have shut down a 'cannabis factory' in a West Sussex village following a tip-off from members of the public.
Officers raided the property in Portal Close, West Ashling, where they seized more than a dozen cannabis plants.
Chichester Police wrote on their Facebook page: "As a result of valuable community intelligence, a cannabis factory has been found and dismantled in West Ashling today and the property has been returned to the registered social landlord.
"Hyde Martlet will now seek re-possession of the property through the legal system where they will re let it back to a more deserving family."
A spokesman for Sussex Police added: "Police executed a Section 23 Misuse of Drugs Act warrant at a property in Portal Close, West Ashling at around 10.25am on Wednesday (October 28).
"The rented property was vacant with no furniture however there was evidence of drug cultivation.
"Fifteen cannabis plants were seized.
"Police enquiries are continuing."


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When Flickr first started there was only a couple of groups dedicated to show up photos of Tunisia: Tunisia, Tunisie and my group "Tunisian Photographers Group" and a fist of Tunisian photobloggers, now there are a hundreds of them powered with many Gigabytes memory cards and a hunger for uploading.
The people out there are four categories:
- The family album champions: this is my mama, my daddy and the dog of the neighborhoods who vanishes after getting rid after sending emails to everybody showing how smart they are by having a free service.
- The Tourists: Tunisian or foreigners, their vision of the surroundings stuff is worth sharing it on the internet, they have some kind of pioneer feeling that leads to make them feel good.
- The amateur photographer: those people have gone beyond being able to download photos from their camera or taking their family into pictures, their ambition based in others conquest is to make the finest and best photos that fits into groups, gets comments and making him feel stepping small feet into the photography Sahara.
- Professional or semi-professional photographer: confirmed well trained photographer who trusted flickr, those people are the fewest Tunisian to be there as Amine Messadi.
Anyway, all along the years Flickr, beside many others photo sharing services is the most popular thing even if I always said that Tunisian are Yahooholic, I think that we did choose the best ways to show our photos.
Tunisian beautiful peaple on Flickr
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by Malcolm Petch
When you read Grey Kingdom's bio, your first thought is that you've somehow stumbled upon the text for a graphic novel. Either that, or the imagination of Calvin from Calvin and Hobbes has spilled over onto Grey Kingdom's website (though there is rather much more blood than Calvin would normally envision). You'll have to check it out for yourself to see what I mean.
So you turn to Grey Kingdom's record label, Dine Alone Records, for more insight. And there it is: the proof that Grey Kingdom is keeping good company with label-mates like Hey Rosetta, Dinosaur Bones, and the ubiquitous City and Colour.
Grey Kingdom is the solo-artist stage name of Spencer Burton, a singer songwriter from Ontario. On CBC Radio 3 he lists himself as a Rock Singer Songwriter, as well as Folk, but it's obvious from his music that he's more college-crowd oriented than Top-40 oriented in his writing. And, sure enough, there's an RSS blog feed from Grey Kingdom: "This Thursday, May 20, I'll be on 103.7 Brock Radio playing some songs and putting on a few of my favourite records" – Brock Radio being, of course, the college radio station at Brock University in Ontario. So besides his talents as a singer songwriter, Burton also spends time as a late-night disc jockey.
Grey Kingdom's music is acoustic, natural, and really enjoyable. Also keeping busy as a member of the Canadian indie band Attack in Black, it's obvious Burton can express himself in a wide range of musical styles. As the solo artist Grey Kingdom seems to land more on the acoustic side of the spectrum, although songs like 'Haunted' (the full length version, not the EP version) still feature a full rhythm section.
Burton says his solo career started when he and Daniel Romano, another member of Attack in Black, recorded a few of Burton's songs in their home studio while the two other members of AiB were away. "I've always been writing and recording songs," says Burton, "I've just never really had a place to put them. With Attack in Black the songs would very rarely fit onto a CD. They're generally a different style of music so we wouldn't really have a place for them." Burton and Romano played the songs for Dine Alone Records, who liked them enough to release them. Burton recorded a few more of his songs, and Dine Alone released both an EP and a 7" vinyl of the music (the release entitled "The Grey Kingdom") – plus a full-length record (entitled "Eulogy of Her and Her and Her").
The Grey Kingdom- Wood & Wires Live from Adrian Vieni (Wood & Wires) on Vimeo.
Grey Kingdom is on tour promoting his release of "Eulogy of Her…" and will be appearing at Streaming Café on June 25th, along with co-Canadian artist Young Wife.
Young Wife is the touring name of Allie Torrance, a singer songwriter from Saint Catherines, Ontario. She classifies herself as Grunge/Minimalist/Psychedelic, and sounds a little like an energetic Julie Doiron.
June 25th promises to be an evening of well-written songs and enjoyable performances. As always, if you can't be here in person you can always join us online at www.streamingcafe.net at 7pm Pacific Standard Time.


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A Detailed Look At Critical Issues In Handbags
Well, where obvious Coach do first inefficient liquidate their designer pouches toward any jerky site, other than their of website. Any of it form regarding the luggages are far generally drawstring baggage good around town of wedding organza fabric once in as well compile them and they be seemingly personalized wedding favour bags. Fee you will are in need of again to be usually to, access the health wallet associated with the human including classy black suitcase who possess a rotting elegant design. Massaging the and it apart on that are all the current several under กระเป๋า MANGO พร้อมส่ง.... Read more


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Mulled wine, glühwein, vin brulé, glögg — whatever you want to call it,
nothing beats a steaming glass of spicy red wine for a revitalizing whiff
of holiday cheer.
It also makes the perfect winter warmer for this casual Italian wine bar
that has recently introduced a vino-centric cocktail menu to pair with
all those delicious cured meats and cheeses.
For this sophisticated version, Bar Manager Jamie Lynch uses a blend
of B.C. merlot and gamay noir so the drink still has a tannic dryness,
but isn't too heavy after being reduced by the heat. He adds honey
(in place of sugar), fragrant cloves and star anise, dehydrated orange
slices (which release aromatic oils from the zest) and a shot of brandy.
"The wines will change throughout the season, but we'll try to keep it
low-alcohol," Lynch says of the smooth sipper, which goes down all
too easy. "We don't want people to get too wasted and then go back
up the hill."
Brrr! The stacked-stone Sidecut Bar makes a cozy den for shaking off
the snow, curling up into a leather lounger and hibernating next to the
Mama and papa bears alike will warm to this espresso-based pick-me-up blended with butter syrup, Kraken Black Spiced Rum, Sortilège
maple-whisky liqueur and a top layer of steamed milk. Equal parts
frothy and boozy, it kind of tastes like a creamy macchiato spiked with
spicy sailor's breath.
But what about baby bears? It just so happens that Après Hour at the
Four Seasons' Bar is a family-friendly affair with a toasty s'mores bar
on the outdoor terrace and a winter warmer mocktail list. So, when
mom and dad are indulging in their hot buttered Black Bears, the
cubs can wet their whistles on mulled cranberry cocktail and hazelnut
creams with honey syrup.
Mmm! Or as Goldilocks might say, it tastes "just right."
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I write blogs on French because I find it interesting, I like to speak French and the way to improve is by using French.Even if most of the blog is in English, I hope that you get some ideas on how to improve your French because the theme of the blog motivates you to learn a little bit more. I also write a German blog as well as other interests of mine, maths and photography. Today I thought I would combine the first and the last blogs and write about French photographers.
I have already written about probably the most French photographer, Henri Cartier-Bresson (1908-2004) in my photography blog. This time I will write about a contempory of his, Robert Doisneau (1912-1994). We know photographers by their photos and Doisneau photographed Parisian streets. In particular he photographed children in the street. He said 'the marvels of daily life are exciting'. Isn't it great to have an exciting job but even better than that to be able to convey some of that excitement to others?
Probably his most famous photograph is 'le baiser de l'hôtel de ville'. This is the same hôtel de ville that I referred to in 'enjoy a trip to Paris'. The photograph caused controversy in the 1990s when it was discovered that the main subjects had been posed. Do an internet search and have a look at it. It is probably the first thing that comes up if you search on Doisneau. There are many photographers who look to capture a 'moment' but a bit of direction can save a lot of time. Now that you recognise the background, you too can walk along that pavement and try to discover the exact café where it was taken. Now there is a good excuse to go to France.
A bientôt
Saturday, 21 March 2009
Robert Doisneau
Posted by Michael Gradwell at 08:17
1 comment:
- Anonymous4 April 2009 at 09:52
I recently came accross your blog and have been reading along. I thought I would leave my first comment. I dont know what to say except that I have enjoyed reading. Nice blog. I will keep visiting this blog very often.ReplyDelete
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Editors Note: I have scoured the internet gathering up some great articles on some Cool Tie Dye Designs. Although, these are written instructions, I will be posting some of my personal video tutorials very soon. But for now, I hope these articles by various authors at Ezine Articles, should give you some insight to what the art of tie dye is all about. And how you can achieve some amazing results, and most importantly just have fun! after all that's what tie dye is all about, getting together with family & friends and throwing down a fun filled Tie Dye Party creating unique works of art.
Tie Dye Techniques - 5 Folding Techniques to Make Patterns
By G. Smitty
Tie dye is a process involving dyeing of fabrics after tying them in various patterns to create designs on the material. The pattern in which you tie the fabric and the colors you choose are responsible for the final design. This is a superb way to turn your old t-shirts, skirts or pants into new garments. Once you learn tie-dye techniques, you can create various designs on fabric and have fun with colors.
The most common designs created include spirals, stripes and starbursts. However, if you practice further you will be able to make even hearts, ovals, rosettes and a variety of other items. It's like the more and more you practice, you will be able to create better designs. Basically the knots, rubber band/string positions and the twists of the fabric create the various patterns. The way you fold the fabric determines the patterns you will get on it. There are several folding techniques that will each give a different design. Here are some folding techniques:
1) Knot Tying: This is the basic method. You need to hold the garment from both ends and squeeze it like a rope. Then, you need to knot it tightly and fasten with strings or rubber bands. You can knot at several places depending on the design you wish to have. This fold will give you beautiful fine lines.
2) Spirals: Lay the material on a flat table. Using your thumb or a fork, press the place where you want the center of the spiral. Then, holding it firmly, rotate the garment and keep flattening the fabric. Get the loose ends within so that the garment becomes flat. Without disturbing the design, slide a few rubber bands such that they meet in the middle.
3) Tie Dye Circles: This is a very simple technique yet quite a dramatic one. Pick the fabric from where you want the centre of the circle. Using the other hand arrange even pleats around the centre. Leave the centre and tie the knots with strings at several places starting from the base. Ensure that the ties are very tight. If you tie more fabric, you get bigger circles. You can make several circles on the fabric.
4) Stripes: You can create stripes on the fabric horizontally, vertically, diagonally and uneven stripes. Mainly, you have to loosely roll the fabric like a tube. Then, you must tie with strings or rubber bands tightly at various intervals many times. This depends on how thick you want your stripes. You can even tie stripes of different measurements to get an uneven pattern.
5) Pleats: Among the various tie dye techniques this is perhaps the simplest one. The fabric has to be laid flat. Then using both your hands you must pinch it from both sides all the way up. After that you have to tie at different lengths. You can even move your hands unevenly or alternatively pinch more material from each hand to create different designs.
If possible, you should practice tie dye techniques on small swatches of fabric before getting into proper garments. This way you will not waste any fabric and you can experiment as much as you wish on the swatches.
G. Smitty is a writer who loves to discuss many topics ranging from [http://www.howtotiedye.org/tie-dye-kits/]tie dye kits to professional basketball. Thanks for reading!
Article Source: Tie Dye Techniques - 5 Folding Techniques to Make Patterns


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Lately, we have been enjoying watching episodes from season 1 of the History Channel program, "Digging for the Truth" (available for rent through Blockbuster.com). The host, Josh Bernstein, acts like a modern-day Indiana Jones and investigates all kinds of archaeological mysteries.
I guess what I like about the show is that Bernstein for the most part investigates topics in a responsible, not overly sensational, way. And, of the episodes I've watched that deal with Bible-related topics, they haven't been overly liberal like so much of the programming of the History Channel.
If you watch this with kids, you'll have to pick and choose appropriate topics. We skipped the one on Mayan human sacrifice. But overall, it's a wonderful, family friendly, highly educational program that has prompted lots of discussions that have helped us exercise our powers of critical thinking. (What a concept!)


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Tag: Presentation
What is Pecha Kucha?Read More
StoryboardingWhat is Storyboarding? Examples Templates template.net/business/storyboard-templates/movie-storyboard-template/ Modified Interactive Storyboard (PDF) iMovie (PDF) General Video Web Design Paper Protot... Read More
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Presentation Slam TeamsTEAMS TOPIC NY TIMES ARTICLES Group 8 (Elite) Chapter 1 (Text The Mob) A Misguided Use of Money Chance David Corey Group 1 (Alpha Wolf Squadron 3) Chapter 2 and 13 (Quizlet) We Live in a Mobile World ... Read More
21st Century ResumeMeet Sarah on LinkedIn View more presentations from Rashmi Sinha. How do you present yourself in the 21st century? Is your resume actively out there getting viewed?... Read More
Presentation SlamThree member student teams will create a presentation on a information technology issue in one class period to be presented the next day. We will use the rules of pecha kucha. The Process Pick an issu... Read More
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TakenAudiobook CD - 2011
When the police tell a wealthy industrialist that her missing son has faked his own kidnapping, she hires Elvis Cole and Joe Pike. Cole soon determines that it was no fake. The boy and his secret girlfriend have been taken, and are now lost in the gray and changing world of the professional border kidnappers, who prey not only on innocent victims but also on one another; buying, selling, and stealing victims like commodities.
Publisher: Grand Haven, Mich. : Brilliance Audio, p2011
Edition: Unabridged
Characteristics: 7 sound discs (7 hr., 50 min.) : digital ; 4 3/4 in
Additional Contributors:
From the critics
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222950005942685 Feb 20, 2015
Your description of the book is all wrong. It is the DAUGHTER of the wealthy industrialist that is kidnapped NOT a son.
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Skyteam carrier Aeromexico has announced a commitment for up to 100 Boeing B737 MAX and B787 Dreamliner aircraft.
The order is worth $10.8bn at list prices, and includes up to 90 B737 MAX aircraft in a mixture of the -8 and -9 variants, and ten Dreamliners.
The Mexican airline operates an all-Boeing fleet for its aircraft over 100 passengers in size.
It had previously agreed to lease Boeing B787 aircraft from aircraft lessor ILFC, and it's not clear if that agreement will be affected by this new commitment.
The carrier joined Skyteam in 2000, and operates European services to Madrid and Paris.
For more information visit aeromexico.com, boeing.com.
Report by Mark Caswell


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Trash troubles plague Tremont neighborhood
Residents in Tremont are demanding something be done with a piece of property that they say has been used as a dumping ground for two decades.
Mounds of garbage are piled up behind the Eagle gas station located at East 181st Street and Webster Avenue. From bottles and cans, to debris from surrounding apartments, residents in the area say they've had enough and they're demanding it be cleaned up.
News 12 reached out to the Department of Sanitation, which says it is private property that the department has no control over.
Officials say they unsuccessfully tried to contact the super at 2120 Tiebout Ave. where the trash is located.


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2018 Overview
The 41st annual Concours d'Elegance spotlighted our featured marque for 2018 – Seven Decades of Porsche – representing the entire range of Porsche vehicles, from the earliest model introduced in 1948 to the most modern.
Also in 2018, two special display classes were presented: Jaguar XK – 70 Years, acknowledging the introduction of the iconic XK 120 roadster at the 1948 Earl's Court Auto Show in London; and, Vintage Scooters, recognizing the unique spectrum of design and engineering of these smallish personal motor vehicles.
See the adjacent panels for information about all weekend events. Proceeds benefit Juvenile Arthritis programs of the Arthritis Foundation.
Cincinnati Concours d'Elegance Car Show
Sunday, June 10 | 10:00 AM – 4:00 PM
Ault Park
3600 Observatory Avenue
Cincinnati, OH 45208
Open House at Metalkraft Coachwerkes
Saturday, June 9 | 8:30 – 10:00 a.m.
Metalkraft Coachwerkes
4003 Plainville Road
Cincinnati, OH 45227
"Porsche - A Sporting Life" Seminar
Saturday, June 9 | 10:30 AM – 12:00 PM
Porsche of the Village
4113 Plainville Road
Cincinnati, OH 45227
Countryside Tour
Saturday, June 9 | Departing at 1:00 PM
Mariemont Square
6900 Wooster Pike
Cincinnati, OH 45227
Hangar Party
Saturday, June 9 | 5:00 – 9:00 PM
Executive Jet Management
4556 Airport Road
Cincinnati, OH 45226
Brunch at the Pavilion
Sunday, June 10 | 11:00 AM – 1:00 PM
Ault Park Pavilion
3600 Observatory Avenue
Cincinnati, OH 45208
The Will Sherman Automotive Art Show
Sunday, June 10 | 10:00 AM – 4:00 PM
Ault Park Pavilion
3600 Observatory Avenue
Cincinnati, OH 45208
Jay Leno Garage Tour Raffle
The lucky winner of the 2018 raffle, a tour of Jay Leno's Garage and three outstanding automotive museums in Southern California, was Glenn Hamilton of Dayton. This raffle included admissions to four distinctive automotive destinations and domestic airfare for four persons to the Los Angeles area. Also provided was $2,500 for hotel and local transportation expenses. Proceeds benefited Cincinnati Children's Rheumatology Department.


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A4 "Everyone is you"
A4 "Everyone is you"
Everyone is You
This series was created under the sentimental fountain of romance and love. Tunnel vision, eyes and heart for one lover only and forever, every one who isn't you seems to show colours of you, besotted and together like a 3 strand chord that will never be broken. True love is a beautiful treasure, when you find it, never let it go.
BUYERS NOTE: This is an A4 digital download only. Purchase, download, print and then frame.
NOTE: Once you purchase your special piece, save the artwork to your computer desktop immediately after download to avoid the download link expiring
For the best print advice and quality contact www.morganprinting.com.au
Copyright Tess Guinery 2018. All rights reserved. No part of this art may be reproduced / duplicated or sold in multiples. One purchase is equal to one print. Not to be used for wholesale, resale or merchandise. Please note, all writing and art is permissible to share by across all social platforms if the artist is credited: @tessguinery
Terms and conditions for tessguinery.co downloadable/digital art
By purchasing any digital prints via tessguinery.co shop you are agreeing to the following:
1. All art is not permitted for resale. Please use for personal and home use only
2. If art is shared via social media it must be tagged to the following account @tessguinerydesign
3. All art must strictly not be edited or duplicated beyond the one download.


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Module 3 focuses on developing the knowledge and skills of the oral and maxillofacial surgeon in the key areas of medical evaluation, outpatient anesthesia, preprosthetic surgery and implant surgery.
The course is designed to increase the participants' knowledge and skills in patient evaluation and management, anesthetic agents and techniques, management techniques in special populations, evaluation and management of complications, and anesthetic medical emergencies.
In addition, the participant will learn the techniques and skills necessary to manage a broad range of patients including implant placement in the esthetic zone, posterior and full arch reconstruction, grafting and site development techniques for both soft and hard tissues, and the skills necessary to treatment plan and assist the restorative dentist in their prosthetic rehabilitation.
Learning Objectives


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Have your say on Kaikōura valuation postponement
30 May 2017
Land Information New Zealand (LINZ) is inviting people to have their say on a proposal that the Kaikōura District Council should postpone updating their rating valuations for Kaikōura properties damaged by the earthquake.
Because of the disruption caused by the November 2016 earthquake, more time is needed to determine the full impact of the quake on property values.
"Work is still being done to assess the extent of quake damage, and costs to repair Kaikōura homes. This will need to be completed to make sure that any alterations to rating values are accurate," says Valuer-General Neill Sullivan.
"Problems gaining access to inspect some properties, and the need for the Council to prioritise rebuild work, were also factors that led to this proposal."
The proposal would mean the Council will not be updating ratings valuations to reflect earthquake damage. If it goes ahead, the Council will still be able to provide rates relief for owners of severely damaged properties.
"As the administrator of New Zealand's ratings valuations laws, LINZ is gathering feedback on this proposal before a decision is made."
The proposal was lodged under emergency legislation passed in December 2016 to support the council and community with the recovery. If it goes ahead it will be in place before councils are due to have updated their rating valuations on 30 June 2017. Please send us your feedback by 6 June.
Media enquiries
Email: firstname.lastname@example.com or phone: 027 566 5251


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Here we go. Top Five Photos of High Line Park, as promised (with a bonus picture No. 6). See how dreamy it is? You really should go. And there are all sorts of adorable restaurants tucked away beneath it. Pure magic.
Tuesday, May 4, 2010
High Line Park
Posted by That City Girl at 9:58 PM
Labels: high line park, magic, new york
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Full House, Empty Hearts!
(You can find a recording of this sermon here.)
This Touching Base is a useful tool for small group discussion, personal reflection or in a one-on-one conversation. We believe that if the Sunday teaching is discussed outside of the morning services, it will be an opportunity to go deeper and build healthy community because God's Word needs to be discussed in community.
[Hey, just before you jump into this TB, let me remind you that Ken Vissers (one of our International workers from Honduras) will be with us on Sunday, Oct. 28th. He will be meeting with people that may be interested in one of the missions trips this February or March, after both services. Mark your calendar!]
Ever tried to gauge someone's heart health? Not their physical heart, but that part of a person which is the "inner" person, comprised of our thoughts, affections and attitudes. Our story resides in our hearts. Our deepest thoughts, wounds and dreams, reside in our hearts. Sometimes we pull the curtains over our hearts closed, and at other times we pull them wide open for people to see in.
On Sunday we discovered that a whole nation, Judah, had a bad heart. Manasseh had been King of Judah for 55 years. 2 Kings 21:9 sums up the damage that he did - "Manasseh led Judah astray, so that they did more evil than the nations the Lord had destroyed before the Israelites." That is bad, real bad! But then Josiah became King, and upon discovering the book of the Law (believed to be Deuteronomy), he tore his robes in repentance and brought drastic reforms (see 2 Kings 22, 23). This is the first instalment of Extreme Make Over. From head to toe, Josiah swept the nation clean.
But here is the problem - we come to Jeremiah 7 (Josiah ruled for 31 years and is now dead) and after all the reforms, we now stand in the same temple that Josiah stood in as be brought reforms, and what do we discover?
Text: Jeremiah 7:1-15 (read)
We discover that these sweeping reforms did not go deep enough. So much revelation… so little reformation! Lots of external posturing, very little internal processing! Lots of makeup that was just really a cover-up! Josiah's sweeping reforms had failed to sweep into the hearts of the people and they had normalized abnormal. They had gotten used to a dysfunctional kind of spirituality where they said the right things and did the right things but their hearts were sick, very sick. Jeremiah 12:2 sums it up - "You are always on their lips but far from their hearts. So God was using Jeremiah to call them on it.
BIG IDEA: When we normalize abnormal, eventually God calls us on it.
When we normalize abnormal, we "dumb down" the experience of gathering (v.1-2)
This is a toxic scene. These people are coming and going, standing in the temple, and following Mosaic instructions on worship and sacrifice. But instead of a gathering experience which brings repentance, holiness, contrition and worship, it is just a "lip service". Lips are flapping, but hearts are snoring. Thus Jeremiah's plea - "reform your ways." Check out what God thinks of these pretenders (v. 2:13, 4:22, 5:1,23, 6:15,16). They have normalized abnormal!
Do you think we are guilty of "dumbing down" our gathering experiences?
What are some examples?
- We may gather for prayer, but we go through the motions and our hearts are cold.
- We gather for worship through music but it becomes entertainment, not connecting with the words, not asking God to speak to us
- We gather for teaching, but it is turned into therapy… a better me
- Bible study becomes a weird exercise of saying the right things but being untouched by the Word. Like jumping into a pool without getting wet
- Accountability becomes deceptive and coy
- Ministry becomes a "task" instead of being servant-leadership
Sometimes when we think of rebellion or someone rejecting the faith, we think of people that leave the church, walk away from God, and have nothing to do with other Christ followers. But Jer. 7 demonstrates that we can walk away from the faith but still walk right into the community, the church. We're physically there… but miles away from the heart of God.
Why not pause as a small group and pray that when Bethel gathers (small groups, Sundays etc) that true life change would be taking place.
We believe lies to accommodate our foolishness (v.3-15)
Notice what they are relying on. V.4 and 8 show where their trust is placed - WORDS, DECEPTIVE WORDS.
They believed judgment would not come because in Jerusalem was located the temple of the LORD (repeated three times to emphasize their belief in its protecting power). The people of Judah viewed the temple as a talisman or a good-luck charm that could ward off any attack. The lie they had believed was that, by being in a place and doing and saying the right things, everything would be ok.
They are in fact hiding behind the lie. It's easier to mouth this mantra than it is to get on their knees and do the hard work of dealing with their hearts. Their lies enabled them to normalize abnormal. You know what God calls that? BS - Bad Strategy! :-) It didn't work for Shiloh (see v.12-15). God doesn't get tricked by their BS… or our BS.
What are lies we often tell ourselves or others to avoid the hard work of dealing with our hearts?
- "I'll do it tomorrow", when in fact tomorrow never comes and we never do it!
- "I have done all I can", when in fact we haven't even started
- "I never said that" when in fact we did, but believing the lie, and getting others to believe it gets us off the hook of doing the hard work of repenting
To normalize abnormal we often cozy up beside some deceptive words.
Why not pause here and pray that our lies would be exposed and our hearts transformed, because we eventually get burned by our lies.
We justify the unthinkable v3-15
This point is a no-brainer... if we are going to dumb down our faith and then use lies to detour our hearts then the obvious result is justifying the unthinkable. It's kind of like… if I am going to eat chips every night and sit and watch TV all the time… then I am going to get fat.
What can we do? What is our response?
- We can start by praying for the church. Note Jeremiah is not talking about the world, he is talking about people who are supposed to be the people of God.
- Be a Jeremiah - "stand at the gate"- maybe your family, your roommate, your small group, your... Go ahead - call a spade a spade. But as Peter admonishes us, do it 'with gentleness and with respect.'
- Ask yourself the hard questions: Where have I normalized abnormal? Have I dumbed-down aspects of my faith walk? Have I used lies to avoid dealing with my heart? Am I guilty of the unthinkable?
Approximately 600 years after Jeremiah stood at the temple gate, Jesus would stand in the rebuilt temple calling people to reform their ways. They had turned the temple into a Wal-Mart! Is Jesus calling us now to reform our ways?
If interested in joining or starting a small group contact firstname.lastname@example.com


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Lolita and all associated characters are property of Vladimir Nabokov.
Monday. Mother's new tenant looks like Cary Grant; dark, almost black, hair, and a sharp jaw and broad shoulders. I could fall madly in love with him, all shooting stars and a million fireworks, but sometimes I think that he's too intense to be a spitting copy of my sweet Cary. Mother's tenant—Mr. Humbert, looks at me and sometimes it reminds me of the way a few of the boys in school look at me, as though they have X-ray eyes. But most of the time it makes me curious. I don't want to be around him and I can't make up my mind.
He has a funny accent, too. Maybe not funny, but it's some sort of European sounding twang that makes him sound prim and proper.
Tuesday. Therese said that she would write me a letter while she was in Europe with her parents but it's been nearly a month and I haven't heard a word and I'm starting to think that this is her way of telling me that she doesn't want to be friends anymore.
I always wondered when she was going to jump ship. Therese was born into money and her father got even richer during the war. She has a maid. Her mother doesn't look at price tags. Her father smokes fat cigars the way Therese and I eat ice cream cones. Therese used to pretend that she was embarrassed of being that filthy rich, as though people weren't always being painfully polite in hopes that she would swoop them under her wing. They were all hungry for her money. I always knew that her mother didn't really approve of me. She thought I was a misfit, as though single motherhood were an infection that would latch onto her skin, as though it was the first symptom of leprosy. Then again, Mother can be horribly embarrassing, especially when she's guzzled too many glasses of sherry.
Once she told me that I had been a mistake and we were both surprised that she'd admitted it.
I bet when we get back to school, Therese will sit with Maxine Winters and her horseback riding friends. They'll all wear those patent leather Mary Janes and cashmere sweater sets from that boutique on Main Street. Maxine is always walking around with her nose in the air, like she can buy the whole world if she wanted. Therese will be one of them and I'll have to start going to the nurse's office during lunch to complain of "headaches."
Wednesday. We held hands. I can't believe it even happened. I was so nervous to even do it but Mother was irritating me and it's sometimes so disgusting to see how much she moons over his big dumb face. She's trying so hard to win him and remembers to wear lipstick and powders her face. They almost left without me. I ran out the door without my shoes and jumped into the back. Mother was absolutely livid; I thought she'd pop a blood vessel. And then H. and I held hands and I could feel his breath on the back of my neck and it was perfect and I could have stayed like that forever.
Friday. I used to like this boy named Henry. He had eyes the color of ocean glass and freckles. He was always getting roughed up and so was never without a new scar or a scratch or bandage. He used to kick the back of my chair in English class. Once I saw him at the movie theater and we both watched this Humphrey Bogart double feature twice, but we never spoke a word to one another the whole time. One day Henry decided that he liked Therese. Every day after school, they would meet up at the drugstore and have malts. After a week, Therese decided that having a boyfriend was too much work and she dumped Henry. Henry stopped talking to me completely.
Saturday. I make excuses to touch H. Mother always ruins it, though. Today she fired off another nasty comment and if I weren't so annoyed by her, I would feel sorry for her.
Sunday. Sometimes I wish that Mother would meet some rich man and send me off to boarding school so that I would never have to see her again. But then I remember that even the idea of boarding school makes me sick.
Tuesday. I HATE HER, I HATE HER, I HATE HER! She's making me go to summer camp for three weeks. I know it's because she wants H. all to herself. And why didn't he say anything? Doesn't he want me around?
Wednesday. I know what I have to do.
Thursday. I dreaded leaving all day. I waited to pack until the very last minute. I cried all last night and my eyes were rimmed red when I woke up. H. seemed so nonchalant about my leaving and it made me furious. Before I left, I ran back into the house and kissed him. I was in such a dreamy state that I didn't fully realize what I was doing until I opened my eyes. But he wrapped his arms around me and he kissed me back and my body felt electric.
I hope he writes me long letters while I'm away. I want him to miss me.
By Vanessa Willoughby – Contributing Writer – wintertangerine.com
Collage of original sketches and notes by Nabokov– by Kellie


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Hawthorne effect in epidemiology
The Hawthorne effect (also referred to as the observer effect) is a type of reactivity in which individuals modify or improve an aspect of their behavior in response to their awareness of being observed. The original "Hawthorne effect" study at the Hawthorne Works suggested that the novelty of being research subjects and the increased attention from such could lead to temporary increases in workers' productivity. (Wikipedia)
In case of epidemiological studies, this effect can produce a subject bias, if the subject know that they are being a part of a study.
Potential MCQ:
Hawthorne Effect is related to
a. Neynam bias
b. selection bias
c. subject bias
d. measurement bias


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Information Technology - New Generations pp 351-358 | Cite as
A Model for Hour-Wise Prediction of Mobile Device Energy Availability
Mobile devices have become so ubiquitous and their computational capabilities have increased so much that they have been deemed as first-class resource providers in modern computational paradigms. Particularly, novel Mobile Cloud Computing paradigms such as Dew Computing promote offloading heavy computations to nearby mobile devices. Not only this requires to produce resource allocators to take advantage of device resources, but also mechanisms to quantify current and future energy availability in target devices. We propose a model to produce hour-wise estimations of battery availability by inspecting past device owner's activity and relevant device state variables. The model includes a feature extraction approach to obtain representative features/variables, and a prediction approach, based on regression models and machine learning classifiers. Comparisons against a relevant related work in terms of the Mean Squared Error metric shows that our method provides more accurate battery availability predictions in the order of several hours ahead.
KeywordsMobile cloud computing Battery prediction Feature selection Time series Android
We acknowledge the financial support by ANPCyT through grant no. PICT-2013-0464. The first author acknowledges his MSc. scholarship in Data Science (USA) granted by Fundación Sadosky.
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The charming little town of Hazyview is idyllically positioned in some of Mpumalanga's prettiest countryside and is characterised by banana plantations and dramatic mountain ranges that stretch towards the horizon. To add to its allure, Hazyview is only five kilometres from the Phabeni Gate of the Kruger National Park, which is undoubtedly one of Africa's top safari destinations.
This farming town is a fabulous choice for those that want a pretty base from which to explore some of South Africa's most exquisite scenery, natural attractions and best known game reserves. But, it is also a gorgeous destination in its own right. It is home to many different restaurants, coffee shops and bars, where locals meet and visitors get to sample authentic South African cuisine. The Windmill Wine Shop offers visitors the opportunity to sample some popular wines from the acclaimed Cape Winelands, as well as to experience the unique flavours of locally brewed craft beers and coffees. Read More »


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Sugar Cookie Farm Animals
Kids will have as much fun making this tasty animal cookie recipe as eating them. Decorate with canned frosting and crumbled wheat biscuits.
Rate This!
Sugar Cookie Farm Animals
- In a large mixing bowl beat butter with an electric mixer on medium to high speed for 30 seconds. Add granulated sugar, baking powder, and salt. Beat until combined, scraping sides of bowl occasionally. Beat in egg, milk, and vanilla until combined. Beat in as much of the flour as you can with the mixer. Stir in any remaining flour. Divide dough in half. Knead the cocoa powder into one half of the dough. If necessary, cover and chill dough 30 minutes or until easy to handle.
- Preheat oven to 375 degrees F. For cow cookies, on a lightly floured surface, roll the plain dough until 1/8 inch thick. Place 1/2-inch balls of the chocolate dough at 2 inch intervals on top of the plain dough. Roll lightly to flatten the chocolate dough. Use a 3-inch cow-shape cutter to cut dough. Place 1 inch apart on an ungreased cookie sheet. For horses, roll remaining chocolate dough until 1/8 inch thick. Use a 3-inch horse-shape cutter to cut dough. Place 1 inch apart on an ungreased cookie sheet.
- Bake in preheated oven for 7 to 8 minutes or until edges are firm and bottoms are very lightly browned. Transfer to a wire rack and let cool.
- To add manes and tails onto horses, attach the crumbled shredded wheat biscuits with canned frosting. Makes about 40 cookies.


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MapReduce Approach to Collective Classification for Networks
- Annis Cook
- 3 years ago
- Views:
1 MapReduce Approach to Collective Classification for Networks Wojciech Indyk 1, Tomasz Kajdanowicz 1, Przemyslaw Kazienko 1, and Slawomir Plamowski 1 Wroclaw University of Technology, Wroclaw, Poland Faculty of Computer Science and Management Abstract. The collective classification problem for big data sets using MapReduce programming model was considered in the paper. We introduced a proposal for implementation of label propagation algorithm in the network. The method was examined on real dataset in telecommunication domain. The results indicated that it can be used to classify nodes in order to propose new offerings or tariffs to customers. 1 Keywords: MapReduce, collective classification, classification in networks, label propagation 1 Introduction Relations between objects in many various systems are commonly modelled by networks. For instance, those are hyperlinks connecting web pages, papers citations, conversations via or social interaction in social portals. Network models are further a base for different types of processing and analyses. One of them is node classification (labelling of the nodes in the network). Node classification has a deep theoretical background, however, due to new phenomenon appearing in artificial environments like social networks on the Internet, the problem of node classification is being recently re-invented and re-implemented. Nodes may be classified in networks either by inference based on known profiles of these nodes (regular concept of classification) or based on relational information derived from the network. This second approach utilizes information about connections between nodes (structure of the network) and can be very useful in assigning labels to the nodes being classified. For example, it is very likely that a given web page x is related to sport (label sport), if x is linked by many other web pages about sport. Hence, a form of collective classification should be provided, with simultaneous decision making on every node s label rather than classifying each node separately. Such approach allows taking into account correlations between connected nodes, which deliver usually undervalued knowledge. 1 This is not the final version of this paper. You can find the final version on the publisher web page.
2 2 Moreover, arising trend of data explosion in transactional systems requires more sophisticated methods in order to analyse enormous amount of data. There is a huge need to process big data in parallel, especially in complex analysis like collective classification. MapReduce approach to collective classification which is able to perform processing on huge data is proposed and examined in the paper. Section 2 covers related work while in Section 3 appears a proposal of MapReduce approach to label propagation in the network. Section 4, contain description of the experimental setup and obtained results. The paper is concluded in Section 5. 2 Related Work 2.1 Collective classification Collective classification problems, may be solved using two main approaches: within-network and across-network inference. Within-network classification, for which training entities are connected directly to entities, whose labels are to be classified, stays in contrast to across-network classification, where models learnt from one network are applied to another similar network [8]. Overall, the networked data have several unique characteristics that simultaneously complicate and provide leverage to learning and classification. Among others, statistical relational learning (SRL) techniques were introduced, including probabilistic relational models, relational Markov networks, and probabilistic entity-relationship models [9, 10]. Two distinct types of classification in networks may be distinguished: based on collection of local conditional classifiers and based on the classification stated as one global objective function. The most known implementations of the first approach are iterative classification (ICA) and Gibbs sampling algorithm (GS), whereas example of the latter are loopy belief propagation (LBP) and mean-field relaxation labeling (MF) [11]. 2.2 MapReduce programming model MapReduce is a programming model for data processing derived from functional language[3]. MapReduce breaks the processing into two consecutive phases: the map and the reduce phase. Usually, big data processing requires parallel execution and MapReduce provides and manages such functions. It starts with data splitting into separate chunks. Each data chunk must meet the requirement of < key, value > format, according to input file configuration. Then each data chunk is processed by a Map function. Map, takes an input pair and results with a set of < key, value > pairs. All values associated with the same key are grouped together and propagated to Reduce phase. The Reduce function, accepts a key and a set of values for that key. The function performs some processing of entered values and returns a new pair < key, value > to be saved as an output of processing. Usually reducers results in one < key, value > pair. Both, Map and Reduce phases need to be specified and implemented by user[1, 2]. The aforementioned process is presented in figure 2.2.
3 3 Fig. 1. The MapReduce programming model The MapReduce is able to process very large datasets thanks to initial split of data into small chunks. The most common open-source implementation of MapReduce model is Apache Hadoop library[4]. Apache Hadoop is a framework that allows distributed processing of large data sets. It can be done across clusters of computers and offers local computation and storage. The architectural properties of Hadoop deliver high-availability not due to hardware but application layer failures handling. The single MapReduce phase in Hadoop is named Job. The Job consist of map method, reduce method, data inputfiles and configuration. 3 Collective Classification by Means of Label Propagation Using MapReduce The most common way to utilize the information of labelled and unlabelled data is to construct a graph from data and perform a Markov random walk on it. The idea of Markov random walk has been used multiple times [5 7] and involves defining a probability distribution over the labels for each node in the graph. In case of labelled nodes the distribution reflects the true labels. The aim then is to recover this distribution for the unlabelled nodes. Using such a Label Propagation approach allows performing classification based on relational data. Let G(V, E, W ) denote a graph with vertices V, edges E and an n n edge weight matrix W. According to [6] in a weighted graph G(V,E,W) with n = V vertices, label propagation may be solved by linear equations 1 and 2. i, j V w ij F i = w ij F j (1) (i,j) E i V c classes(i) (i,j) E F i = 1 (2) where F i denotes the probability density of classes for node i. Let assume the set of nodes V is partitioned into labelled V L and unlabelled V U vertices, V = V L V U. Let F u denote the probability distribution over the labels associated
4 4 with vertex u V. For each node v V L, for which F v is known, a dummy node v is inserted such that w vv = 1 and F v = F v. This operation is equivalent to clamping discussed in [6]. Let V D be the set of dummy nodes. Then solution of equations 1 and 2 can be performed according to Iterative Label Propagation algorithm 3. Algorithm 1 The pseudo code of Iterative Label Propagation algorithm. 1: repeat 2: for all v (V V D) do 3: F v = (u,v) E wuvfu (u,v)wuv 4: end for 5: until convergence As it can be observed, at each iteration of Iterative Label Propagation certain operations on each of nodes are performed. These operations are calculated basing on local information only, namely node s neighbourhoods. This fact can be utilized in parallel version of algorithm, see algorithm 2. Algorithm 2 The pseudo code of MapReduce approach to Iterative Label Propagation algorithm. 1: map < node; adjacencylist > 2: for all n adjacencylist do 3: propagate< n; node.label, n.weight > 4: end for 1: reduce < n, list(node.label, weight) > 2: propagate< n, node.label weigth weight > MapReduce version of Iterative Label Propagation algorithm consist of two phase. The Map phase gets all labelled and dummy nodes and propagate their labels to all nodes in adjacency list taking into account edge weights between nodes. The Reduce phase calculates new label for each node with at least one labelled neighbour. Reducers calculates new label for nodes based on a list of labelled neighbours and relation strength between nodes (weight). The final result, namely a new label for a particular node, is computed as weighted sum of labels probabilities from neighbourhood. 4 Experiments and Results For the purpose of experimental setup the telecommunication network was built over 3 months history of phone calls from leading European telecommunication
5 5 company. The original dataset consisted of about phone calls and more than 16 million unique users. All communication facts (phone calls) were performed using one of 38 tariffs, of 4 types each. In order to limit the amount of data and simplify the task to meet hardware environment limitations only two types of phone calls were extracted and utilized in experiments. Users were labelled with class conditional probability of tariffs, namely sum of outcoming phone calls durations in particular tariff was divided by summarized duration of all outcoming calls. Eventually, final dataset consisted of users. Afterwards, the users network was calculated, where connection strength between particular users was calculated according to equation 3. e ij = 2 d ij d i + d j (3) where d ij denotes summarized duration of calls between user i and j, d i - summarized duration of ith outcoming calls and d j - summarized duration of jth incoming calls. Obtained network was composed of weighted edges between aforementioned users. The goal of the experiment was to predict class conditional probability of tariff for unlabelled users. Initial amount of labelled nodes (training set) for collective prediction was established to 37% randomly chosen users, according to uniform distribution. The rest of nodes should potentially belong to test set, however due to the property of examined algorithm some of nodes were unable to be reached and this same to have a label assigned. This mean that some of nodes did not posses incoming edges and the algorithm was not able to propagate the probability of labels to them. Eventually, the final test set was composed of only 2% of users distributed over the whole network. Nevertheless, the rest of nodes were utilized to keep the structure of network and propagation of labels, please see figure 4. The collective classification algorithm was implemented in MapReduce programming model. It consists of six Jobs, each accomplishing map-reduce phases. Detailed description of Jobs is presented in table 1. The convergence criterion in the algorithm has been controlled by ɛ change of conditional probability for each node. The algorithm was iterating until the this change was greater than ɛ. The experiment was organised in order to examine the computational time devoted for each of map-reduce steps as well as the number of iterations of the algorithm. The time was measured for three distinct values of ɛ = {0.01, 0.001, }. The final assessment of implemented algorithm was measured using mean square error between predicted label probability and known (true) label probability. The Mean Square Error (MSE) equals for all three ɛ values. Therefore we did not observe significant changes in the performance of algorithm while examining different values of convergence criterion ɛ. However, as presented in table 2 and figure 3 the value of convergence criterion ɛ has an impact on number of executions of implemented jobs. The less restrictive it is, the less executions of jobs to be performed.
6 6 Fig. 2. Types of nodes that have been utilized in the experiments: labelled and unlabelled, training and testing ones, used only for label propagation and omitted Fig. 3. Execution time in [s] of map-reduce jobs for distinct convergence criterion ɛ
7 7 Table 1. MapReduce jobs implemented in the algorithm. Job name Job description adjacencylist the job takes edge list as an input and returns an adjacency list for all nodes dummyadjlistandlabels the job creates a list of dummy nodes with labels according to algorithm [9] and updates an adjacency list by newly created edges from dummy nodes mergeadjlistandlabel the job merges a list of nodes labels with adjacency list resulting in collective classification input collectiveclassification the job processes collective classification data according to algorithm and results in new label list singlelabelscomparison the job results with absolute difference of class conditional probability of labels from actual iteration and previous iteration alllabelcomparison the job returns maximal difference of input list (absolute difference of class conditional probability) Table 2. Execution time in [s] and number of executions of map-reduce jobs for distinct convergence criterion ɛ Job name ɛ = 0.01 ɛ = ɛ = No. exec. Time No. exec. Time No. exec. Time adjacencylist dummyadjlistandlabels mergeadjlistandlabel collectiveclassification singlelabelscomparison alllabelcomparison The results obtained during experiments (MSE, execution time) indicate that proposed MapReduce approach for implementation of Iterative Label Propagation algorithm correctly performs parallel computation and results with satisfactory prediction results. Moreover it is able to accomplish prediction on big dataset, impossible to achieve in single thread version of algorithm in reasonable time. 5 Conclusions The problem collective classification using MapReduce programming model was considered in the paper. We introduced a proposal for implementation of Iterative Label Propagation algorithm in the network. Thanks to that, the method can perform complicated calculation using big data sets.
8 8 The proposed method was examined on real dataset in telecommunication domain. The results indicated that it can be used to classify nodes in order to propose new offerings or tariffs to customers. Further experimentation will consider a comparison of the presented method with other approaches. Moreover, further studies with much bigger data will be conducted. Acknowledgement This work was supported by The Polish National Center of Science the research project , and Fellowship co-financed by The European Union within The European Social Fund. References 1. Ekanayake, J., Pallickara, S., Fox, G., MapReduce for Data Intensive Scientific Analyses, Proceedings of the 2008 Fourth IEEE International Conference on escience, Dean, J., Ghemawat, S., Mapreduce: simplified data processing on large clusters. Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation, Berkeley, USA, 2004, USENIX Association, pp. 1024, White, T., Hadoop: The Definitive Guide, O Reilly, Hadoop official web site: hadoop.apache.org, Szummer, M., Jaakkola, T., Clustering and efficient use of unlabeled examples. In Proceedings of Neural Information Processing Systems (NIPS), Zhu, X., Ghahramani, Z., Lafferty, J., Semi-supervised learning using Gaussian fields and harmonic functions. In Proceedings of the International Conference on Machine Learning (ICML), Azran, A., The rendezvous algorithm: Multiclass semi-supervised learning with markov random walks. In Proceedings of the International Conference on Machine Learning (ICML), Jensen, D., Neville, J., Gallagher, B. Why collective inference improves relational classification. In the proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp , Desrosiers C. and Karypis G., Within-network classification using local structure similarity. Lecture Notes in Computer Science 5781, pp , Knobbe, A., dehaas, M., and Siebes, A. Propositionalisation and aggregates. In proceedings of the Fifth European Conference on Principles of Data Mining and Knowledge Discovery, pp , Kramer, S., Lavrac, N., and Flach, P. Propositionalization approaches to relational data mining. In: Dezeroski S. (ed.) Relational Data Mining, Springer-Verlag, pp , 2001.
Research on Clustering Analysis of Big Data Yuan Yuanming 1, 2, a, Wu Chanle 1, 2
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text:
On Elements, how do you get rid of the spotyness?
That worked a lot better; good image quality.
The "spotiness" you are referring to is sensor noise brought about by shooting at a high ISO value (the metadata shows you shooting at 70mm at f/2.8 at 1/400 sec at ISO 1600). This is an unfortunately issue with many cameras when you are shooting under existing light conditions. You might try dropping to ISO 800 and shooting at 1/200th to see how the noise looks. In photography, we are always trying to manage various tradeoffs. The sensor noise performance has really improved in more recent camera models, but that doesn't help you at all. The only other thing you can try to do is shoot under brighter lights, but that brings other challanges.
Unfortunately, I don't use Elements, so can't help you there. If there is a noise reduction filter, that is something that both Lightroom 4 and Photoshop CS6 have, so I'd suggest you look for it and play around with it on a COPY of the file to see how that works. There are a number of Elements users on CiC, hopefully they can help you.
Nice shot Sam. I would have to agree with Manfred. Lowering the ISO would help with the noise, but you have to make sure that you nail the exposure. Underexposing due to a low ISO can be just as damaging as a high ISO. Noise reduction will work, however you tend to loose some of the details.
I hope you don't mind. I went ahead and pulled out some of the noise for you.
Also, don't use negative exposure compensation unless you need it... Under exposure really makes the noise visible
(even more than using a higher ISO with proper exposure, or we wouldn't need higher ISO settings...).
This pose seems relatively static, so you could try bracketing the exposure next time. With bracketing, you have the
camera take three shots, one at measured exposure, one at higher and one at lower exposure. The difference in
exposure can usually be selected between 0.3 to 0.7-2 EV (the highest value depends on the camera, my Sony A330
is limited to a maximum of +/-0.7 EV).
And as a last resort, there's a number of ways to reduce the noise (but they all soften the image to some extend).
Ok. Thanks. But it does look better then the other pics I've posted?
Aha! I've looked at the EXIF Data myself after reading through Manfred's post, to see if I could find anything else that might help. And, I have!!
Take that fancy DSLR you have out of Auto mode! You won't be able to use any of the advices been given above if you're just allowing the camera to make all the decisions for you! You could use a point and shoot camera for that.
Seriously though, I think getting that mode selection dial out of the little green rectangle will boost your confidence, and your results more than you can imagine. Doesn't even have to be full manual to start. Why don't you try AV for these static photos of ballerinas, and play around a little with aperture, and ISO?
A few thoughts.
I think it was on AV for this but I will take it out of auto. Thank you. But it does look better than the others?
Yes, yes, it is better
Regarding the noise, if you change your work flow so you don't sharpen at all before you down size...
So process as you have here (except sharpening)
Downsize to 1000px tall if, as here, portrait orientation (or it won't fit people's monitors)
Then sharpen with UnSharp Mask (USM) using the following settings; 100% 0.3px threshold between 0 and 2.
This works better because the downsize will 'average out' a lot of the fine detail noise which the sharpening won't be able to 'latch on to' and make worse.
If the noise at 1600iso on a Canon 40D is that bad, you could try raising the threshold figure still higher, although it'll not look as nice.
Another option is to use something called Neat Image.
This should be done before downsizing, in fact follow the guidance in that link. It works as a filter option from within Elements, it is 'pay for' software, but I think there's a trial period available. It is only about $30 from memory and well worth it - it seriously out performs the built-in noise reduction filtering in Elements.
Good luck with the next try,