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Sharing Excellence Partnership Dunraven School Streatham Chemistry (35VX)
http://www.sharingexcellence.org.uk
The programme is designed to support trainees in developing a range of skills that are required to become a successful secondary school teacher.
Trainees will: -Become effective classroom practitioners; planning and delivering engaging and stimulating lessons -Learn to recognise the similarities and differences in pupils, particularly in terms of their needs, their behaviour and attainment and how to plan for this in lessons -Develop a critical understanding of the curriculum and pedagogy -Begin to understand the complex range of whole school issues, the values and assumptions which underpin them and their application to school and classroom practice.
Qualification Outcome: Successfully completing all aspects of the course, both in school and university based learning, will lead to the award of Postgraduate Certificate in Education (PGCE), which also carries 60 Masters level credits that may be used towards a subsequent Masters degree. The PGCE (M) component is an academic qualification awarded by the university. It is recognised abroad.
The course also leads to the award of QTS (Qualified Teacher Status). QTS is a professional qualification awarded by the Department for Education.
The key aim of this programme is to enable trainees to become confident, knowledgeable and enthusiastic teachers. The programme provides opportunities for trainees to explore the theory and practice of teaching the subject through a range of lectures, workshops and tutorials, and to develop their expertise in the classroom through two contrasting school placements.
The PGCE Secondary science programmes (Science with Biology, Science with Chemistry and Science with Physics) are designed to enable trainees to teach, as a minimum, all the science specified in the National Curriculum for science at Key Stage 3, and their chosen science specialism from biology, chemistry or physics, at Key Stage 4 and, if appropriate, at post-16.
The programme is the result of close collaboration between school-based mentors and the Roehampton team. In the first term trainees learn how pupils develop science understanding and skills, while at the same time building confidence in planning and teaching a science lesson. The second term extends this and explores issues within science education. The third term addresses science education outside the classroom.
There are three written assignments set and assessed by the university towards the Masters level PGCE element of the qualification.
During school placements, trainees benefit from working alongside experienced teachers. Trainees have opportunities to observe excellent teaching before experimenting with approaches to teaching and learning across the secondary age range, during which time they are supervised and supported by teachers and tutors. They begin with a light teaching timetable which is gradually increased as they become more skilled and confident.
The main focus of this training programme is classroom practice and the development of the knowledge, skills and understanding needed to ensure that pupils make excellent progress in their learning. Trainees are supported by both a school based mentor and a university tutor working in partnership to support them. They are experienced and skilled in classroom observation, giving feedback and setting targets for development. Trainees have full support in developing their behaviour management skills throughout the year. Placements will be in Key Stage 3 and Key Stage 4, ages 11-16, with some opportunity to experience Key Stage 5 and the primary curriculum. Trainees are based in school throughout the year, except when they have sessions at the university, usually on Wednesdays. Trainees have a seven week second placement in a contrasting school, usually another local partnership school.
Professional development is supported by an extensive programme of in-school training to enrich their experience, delivered by expert practitioners in the Partnership, in addition to the Masters level PGCE programme delivered by the University of Roehampton.
Towards the end of the year trainees are in school full time, with salaried trainees ending at the end of the school term and fee paying trainees ending when their university training is complete in late June. School Direct trainees are expected to become fully involved in the life of the school to enhance their knowledge and understanding of the profession.
Applicants are welcome to contact us via the address below to send a CV in advance of applying, or to ask questions about our schools, our training programmes or the application process.
If you have applied, meet the entry requirements and demonstrate the skills needed for school based teacher training you will be invited to an interview including the following activities: a short classroom based activity, an interview with heads or School Direct leads from our partner schools, and a short written task set by the university.
Most of our interviews are held at Dunraven School. If you have applied for a placement in a different school you would be expected to visit it either before or after the interview. We offer the opportunity to be considered for other remaining vacancies in our Partnership but it is your decision which school you would like to train in.
You are required to produce photographic ID, original examination certificates and to complete a request for information regarding health and suitability for teaching. Offers are subject to completion of a health check and Enhanced Disclosure check by the Disclosure and Barring Service prior to enrolment.
Find out more about our training programmes and how to apply, including recruitment information events via the following link.
Dunraven Sharing Excellence Partnership E-mail contact for queries: schooldirect@dunraven.org.uk
To qualify for a scholarship you'll need a degree of 2:1 or above in Chemistry or a related subject. For a bursary you'll need a 2:2 or above in any subject.
A degree classification of a 2.2 or above, usually at least 50% in the subject to be taught and a real aptitude for teaching.
Grade C/ level 4 or above in GCSE English and Mathematics, or equivalent recognised by the university, by the time the programme begins.
Applicants will be required to produce original certificates at interview.
Evidence of meeting the required standard in Fundamental Proficiencies (English and maths).
We are looking for applicants who are passionate about teaching their subject and have the potential to become outstanding teachers. Applicants need to show evidence of time management skills, commitment and personal resilience needed to undertake school based teacher training. Ability to work effectively with young people and understand the urban state school environment is essential. Confident self-presentation, good communication skills and the ability to inspire and enthuse young people are also important.
Overseas qualifications must be checked for UK equivalence by NARIC.
Offers are subject to a Disclosure and Barring Service (DBS) Enhanced Disclosure list check.
Applicants must meet the Secretary of State's requirements for mental and physical health in order to be eligible.
Applicants for salaried positions must provide a CV including full employment history.
We recommend that you attend one of our Recruitment Information Events to find out more about this training programme and how to apply.
Dunraven's Teaching School, the Sharing Excellence Partnership, offers school based teacher training of the highest standard with our primary and secondary school partners and accrediting providers, University of Roehampton and e-Qualitas. Dunraven has a well established reputation for effective staff development and long-standing programmes for developing teachers, including traditional ITT routes, Teach First, and School Direct. We offer support and professional guidance in making a transition from support roles in school into teacher training and employment.
We promote 'Excellence for All' by recruiting and training high calibre teachers for local schools. All our trainees have gone on to successful employment, mostly within our Partnership. The majority of our School Direct trainees have been formally assessed as 'Outstanding' by the time they complete their training.
Dunraven is part of the South Lambeth Schools' Partnership working with ten local primary schools and SL6, a post-16 collaboration with local secondary schools, which provides a wide range of training and development opportunities for our trainees. A significant building programme means the school now has purpose-built facilities.
Our School Direct training partnership is a strong local network of Lambeth primary and secondary schools. It includes Corpus Christi Roman Catholic, Crown Lane, Dunraven, Sunnyhill, Goldfinch, Julian's, St Andrew's Catholic and Van Gogh Primary Schools. Secondary partners are the The Elm Green School, Trinity Academy, St Mary's High School and City Heights Academy. Dunraven School, all-through from 4-18, offers training in both primary and secondary phases.
Sharing Excellence Partnership
The University is a leading provider of teacher training in the UK with 175 years' history, working with over 350 schools. We offer high quality training in partnership with them, in preparation for a career with a competitive starting salary. Employment prospects are excellent: 99% of graduates are in work or further study six months after leaving. University buildings are on a beautiful parkland campus in south-west London. The School of Education is ranked third in London for its research, reflecting world-class expertise. Trainees report high levels of satisfaction with their training experience on our training programmes.
All our training programmes are bespoke and tailored to meet individual needs, reflecting applicants' skills and experience and any health or disability requirements. Where possible we collaborate with our training providers to adapt training provision to support trainees with disabilities and other needs.
Feedback from previous trainees suggests high levels of satisfaction with the support we offer them, carefully co-ordinated between school and training provider. We recognise that teaching is a rewarding but demanding career and that there are times when even the best trainees will face challenges. We promote trainee well-being and resilience to enable them to make a long-term commitment to the teaching profession and this is at the heart of our training provision.
The University of Roehampton offers an extensive range of student support and well-being services. There is a strong tutorial support system in the School of Education and during school placements. Trainees can apply for a Statement of Adjustment to ensure their needs are met. Dyslexia Services offer support for specific learning difference (SpLDs) such as Dyslexia, Dyspraxia, Dyscalculia and Attention Deficit Hyperactivity Disorder (ADHD).
schooldirect@sharingexcellence.org.uk
94-98 Leigham Court Road
Dunraven School, 94-98 Leigham Court Road, Streatham, London, SW16 2QB Yes -


Two good reports over the weekend about a newly-acknowledged bug in the Win10 1809 upgrade sequence.
Ends up, there's very little chance that your system will get bit by the bug, unless you have manually activated the built-in account called "Administrator." It's an elusive beast.
When you set up a new PC, the installation sequence prompts you to create an administrator account — you probably have one with your name (or the name of the person who set up your machine, or the PC manufacturer's name) on it. That account has all of the normal "administrator" level permissions.
At the same time, the installation sequence automatically creates a second account, called "Administrator," that has all permissions. But the installer hides that account by default.
Few people enable the account called "Administrator." It's considered a security risk — for good reason. You can invoke the genie by playing with a Group Policy, modifying the Computer Management/Local Users and Groups/Users setting, or by a command line. No, I won't show you how to do it.
If you've never enabled the "Administrator" account, you don't need to worry about the bug. If you have enabled the "Administrator" account, do yourself a favor and disable it.
If the only account on your PC with administrator privileges is the one called "Administrator," the upgrade should go through without killing it, according to the MS Japan post.
The second monthly cumulative update for Win10 1809 is late. And I say bravo and huzzah.
Most importantly, MS has NOT released the fix through the normal Windows Update channels.
If you're curious, take a look at that list of bug fixes and marvel at how bad the original Win10 1809 must've been.
Machines affected by the issue display garbled or entirely unreadable text.
It's another bug that was pointed out by Windows Insider beta testers — and Microsoft didn't listen.
WHY are 1809 upgraders getting their files zapped?
I've been looking at reports from all over the world, and can't find a pattern. Some people got hit, others didn't, and I have no idea why.
If you had your documents, pictures, or other files deleted on the road to 1809, please post on this Reddit thread and help Microsoft figure it out.
And make sure to tell your friends that all is not lost. A quick run of Recuva should bring the deleted files back.
UPDATE: There's some question as to whether Recuva can recover 1809-upgrade-deleted-files from an SSD. Lots of moving parts. If you've hit the 1809-upgrade-deleted files problem, and they were deleted from an SSD, I'd appreciate your advice!
After that, you can roll back the upgrade. Which ain't a bad idea.
The new Windows 10 update called "October 2018 Update" (Windows 1809) has recently been released. Unfortunately, it brings a critical problem to older versions of Microsoft Outlook (2010 and older) that can negatively affect our IceWarp OutlookSync plugin and the synchronization of data may possibly end up with an error. The IceWarp support team has also received reports from our customers about smaller issues with newer versions of Outlook (particularly Outlook 2016) after updating Windows 10 to "October 2018 Update".
The IceWarp development team is currently working on a patch, which will address the described problems from the side of our OutlookSync plugin. We are confident this patch will be released late next week.
In the meantime, we recommend you to postpone the "October 2018 Update" for your Windows 10 users, or roll-back the update if you are experiencing the temporary synchronization issues as mentioned previously.
Thanks for your patience and understanding while we address these issues.


Starbucks (NASDAQ: SBUX) recently reported its Quarter 1 results (ended December 2018) for the Financial Year 2019. The company beat the consensus in revenues and earnings and posted $6.6 billion and $0.61 respectively. The total revenue is up by 9% year on year (YOY) and comparable sales are up by 4% globally driven by 3% in average ticket. China's comparable sales are up 1% YOY but the Total stores are up by 18% YOY. The company opened 541 net new stores with over two-thirds outside the US and about 50% licensed among the same. This takes the Total Store count to 29,865 at the end of December 2018.
We maintain our $66 price estimate for Starbucks. The charts have been made using our new, interactive platform. You can click here for our interactive dashboard on Our Outlook For Starbucks In 2019 to modify different drivers, and see their impact on the EPS and price estimate for Starbucks.
Growth in China: China comparable store sales increased 1%, with transactions down 2% for the quarter. It continues to remain a long-term growth driver for the company, as its GDP, projected to exceed $15 trillion by 2021, is expected to fuel a massive increase in its middle class. The company is on plan to open a net 600 new stores in China in Fiscal 2019 (1100 net in Asia-Pacific) with the Asia Pacific region gaining 259 net new stores in the quarter. The partnership with Alibaba is expected to boost the delivery sales and give a perfectly unique experience to the customers.
Cold Beverage Innovation: The company drives innovation through its stores to meet consumer preferences. The company has seen the proven highly incremental results from Draft Nitro Cold Brew. The company reaffirmed its stance regarding the cold beverage and mentioned during the investor call that they have seen a huge growth with the same and have increased the presence to 40% of total US outlets by the end of quarter 1.
Starbucks Delivers: Starbucks is working with Ele.me (as part of its partnership with Alibaba), China's leading on-demand food delivery platform with 3 million registered delivery riders, to give its customers the best delivery experience possible. The company has started two 'Star Kitchens' within two FRESHIPPO supermarkets in Shanghai and Hangzhou. This makes Starbucks the first retail brand to establish a dedicated back of house presence in FRESHIPPO locations to utilize its distinct fulfillment and delivery capabilities to further reach and better serve customers. In the first quarter the company has started the Starbucks Delivers program in more than 2000 stores in China. The program is already contributing mid-single digit transaction mix in key markets of Beijing and Shanghai.
Global Coffee Alliance: Starbucks with Nestlé are moving fast to develop the company's At-Home coffee portfolio. Starbucks announced that both companies have developed a range of Starbucks-branded products for the Nespresso and Dolce Gusto platforms and Roast & Ground and Whole Bean coffees. The company reaffirmed the launch of these products in traditional CPG and Foodservice channels will take place beginning in the spring of this year.


Restlessness and agitation are common issues for the terminally ill patient. There are many different terms used to describe restlessness such as terminal anguish, terminal delirium, and terminal agitation. The signs and symptoms of restlessness vary from patient to patient. Common signs include mood changes, yelling, shouting, a desire to want to move, and non-purpose motor function. The best way to treat restlessness is to first identify possible physical sources such as pain, constipation, nausea, vomiting, dehydration, metabolic disturbances, withdrawal from nicotine, opioids, or benzodiazepines. Non pharmacological treatments such as cognitive activity, relaxation, breathing exercises, counseling, emotional support, reorientation, and reducing environmental stimuli for restlessness should always be tried first and in conjunction with pharmacological treatment. There are several treatment options for restlessness and agitation once other causes have been ruled out. Treatment options include antipsychotics, benzodiazepines, barbiturates, and opioids. The medication selected should take into account the patient's allergies and medical conditions. Haldol is considered the treatment of choice for restlessness in terminally ill patients showing greater effectiveness with less side effects than many other medications. The minimal dose of haldol should be initiated and titrated to desired effect or until side effects appear. Note that this is only the case for terminal restless associated with the active dying process.
Haldol has a black box warning of increased mortality in patients with dementia related psychosis. Common side effects include extrapyramidal symptoms, tardive dyskinesia, akathisia, insomnia, anxiety, and drowsiness. Olanzapine and risperidone are alternative options of therapy if haldol is contraindicated. These medications also have a black box warning against use in patients with dementia related psychosis. Similar side effects should be monitored for these treatment options. Other treatment options include lorazepam, propofol, and midazolam.


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ecurie415
Tag Archives: vintage auto racing
May 16, 2016 by ecurie
CSRG 2016 David Love Memorial Vintage Races
CSRG events are always great fun, because they lack some of the intense scrutiny and crowd action that you see in Monterey later in the year. CSRG cars are raced hard (but fairly), and I enjoy listening to the owners talk about the long journey many of these cars have made from factory birth to vintage racer. The David Love Memorial Vintage Races at Race Sonoma honor the late vintage racer who was a passionate Ferrari enthusiast.
Below: 1966 Alfa Romeo GTA (Auto Delta); SCCA Formula A/B lineup; 1967 Alfa raced by Nanni Galli; Morgan Plus 4; 1958 Devin SS; Ferrari Lusso; 1967 Porsche 911 TR; 1981 March 821 F1 car; 1962 Lola Mk.5; and, 1962 Lotus 22 FJ.
January 13, 2015 by ecurie
Bell bottoms, big tires – F1 in the early 1970s
As a child of the Seventies, I'm still fascinated by F1 cars of the early part of the decade. Cars like the 1973 McLaren M23 (above and below), decked out in Yardley's classic livery or Chesterfield branding (in red, below).
Elf brought French blue to the 1970 March 701 (third below), which Tyrrell raced briefly while the team set out to build its first car (in secret!). Like a lot of you, I first heard Jackie Stewart's voice on ABC's broadcast of the Indy 500. My respect for Jackie led to an abiding love for Tyrrell and his non-corporate approach to F1.
The 1970 Ferrari 312 (bottom) was fast, with three wins in the hands of Jacky Ickx, but it couldn't take the title from Lotus. All of these cars were designed at the dawn of the "aero" era, and they don't look as if they were designed by a computer based on wind tunnel metrics. Think of bell bottoms, Ray Bans, fat rear tires, and wide-open racing. And the drivers: three-time world champion Stewart, six-time Le Mans winner Ickx, and the dashing, doomed Revson.
Tyrell 007 as driven by Jody Scheckter:
April 8, 2014 by ecurie
CSRG at Sonoma: Feeling the Love
David Love raced historics with vigor and enthusiasm, and when he lost his battle with Parkinson's disease, the vintage racing world mourned. The Classic Sports Racing Group dedicated its spring Sonoma race to Love, who was instrumental in forming the CSRG in the late 1960s. Reflecting Love's passion for Ferrari, each car entered in the event bore a prancing horse on its flanks, "racing with Dave" one last time.
Love's own 1957 250 Testarossa was a centerpiece in the garage. Love raced it with gusto in historic events throughout California, after an earlier career as an SCCA racer. At the Sonoma opener, the 250 continued to draw a steady stream of admirers despite being parked next to Tyrrell and Lotus F1 cars. Stop back for more photos from the CSRG opener in the coming days.
CSRG at 50
Ford GT brings new life to GTLM
The 2015 Ecurie
Down to the wire: Mazda Road to Indy and Pirelli World Challenge Finales at Monterey

redpajama_set_name: RedPajamaCommonCrawl


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Q: Monitor CPU and memory for Azure WebJob I have setup application insights for a web app and I can see the performance figures such as CPU and memory consumed by the app. I have another app which contains only a webjob. How can I monitor CPU and memory consumed by the webjob? It is a .NET console application. I have added in the Nuget packages to the console app and I am able to manually register events to Application Insights - such as exceptions. For some reason though I am not getting performance data. Is this possible and how do I do it?

A: Unfortunately you cannot get performance counters from your Web App (App Service) with Application Insights. See here and note the first sentence.

(Not for Azure web apps.) Click Servers on the overview blade to ...

I would recommend looking at the link below for getting the CPU data for your App Service.
Monitor service metrics

A: If third party tools are an option, look into CloudMonix - it can monitor utilizatino metrics of WebApps with Webjobs on them as well as monitor for WebJobs and even restart them upon failure

redpajama_set_name: RedPajamaStackExchange


Good Day! Sometimes we see our life as a fortress, we build it with sturdy walls that will protect us and forever keep us safe. We try to protect it, we try to keep it from being exposed to the elements. We try to hide ourselves. We create neat and tidy walls, brick by brick. We feel safe, we feel secure. Then life happens, something big enough to shake our foundation, and our walls start to crumble and our world opens up and we are not pleased.
I believe that we resist the 'bad' stuff so much that we miss all the good stuff that is in it. We are so busy building the wall that we forget to live the life that we are protecting. There is something amazingly beautiful about the tragedy of life. I know this may not sit well with you now, or maybe it does… but the rawness that we feel when we are reminded of life being messy, unpredictable, relentless, fragile, and difficult to bear, that rawness is a gift. Being reminded of the uncertainty of the world is important; we are better able to appreciate the world when we see how short a time we are able to be in it. Being placed in a position where our composure is tested gives us information about how far we have come and that there is always room to grow towards acceptance of what is (in the world and in ourselves).
When we decide to panic, freak out, worry, focus on the things that could go wrong, or simply shut down, we are choosing to ignore the wealth of information that the experience is sharing with us. Not that all of the above responses aren't information, of course they are and if you respond that way, well, that is where you are and that is ok. I believe, however, that you can choose to be open to what is under the fear. When the fear stops life begins. You are able to see the journey as this starlit path with miraculous events happening every step of the way. When you let go of what you think you know, what you believe 'should' happen and are open to what is actually going on, you are better able to calmly and powerfully change your world to move in the direction of understanding, calm awareness and ultimately love.
Try to remain grounded during the next 'tragic' moment in your life. Assess what is possible for you to do to help the situation and figure out what you have no control over. Be honest. Let go of your false ability to help what isn't in your realm of control and do what you actually can. The help isn't always in the way you think. Helping may look like you doing a lot of self-care. When you take care of your soul/spirit/energy you take care of those around you. Help may be doing something directly or indirectly around the situation. Help may also be letting go. Breaking down, in so many ways, is the beginning of building up and for every brick that falls, thought it may take a while to see, there is your beautiful life steadily being freed.


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El Paso auto thefts soaring amid rising crime
Daniel Borunda
Auto thefts are surging across El Paso, with thieves hitting home driveways on the West Side, apartment parking lots in the far East Side and everywhere in between, police officials said.
"The numbers are definitely up," said Stephen Plummer, public awareness manager for the El Paso Auto Theft Task Force.
On the West Side, auto thefts have jumped a whopping 132% compared with this time last year, with 158 vehicles stolen, Plummer said. There have been 198 auto thefts (up 47%) in the expansive Pebble Hills police region with its shopping centers, apartment complexes and growing neighborhoods in the East Side.
Auto thefts have spiked in all the other police regions: Central is up 18% (181 vehicles stolen); Northeast is up 34% (145 vehicles stolen); and Mission Valley is up 54% (129 vehicles stolen), Plummer said.
"We have a lot of active thieves out there right now," said Plummer, adding that thieves are striking during the overnight hours at apartments and other residential areas. Auto theft investigators have made arrests and are working on making more, he added.
Auto thefts are among the most significant increases as crime overall is up 6% in El Paso through the first half of 2022, according to statistics provided by police public information officer Sgt. Enrique Carrillo.
The crime statistics are a mixed bag. Auto thefts are up 48%, assaults are up 15%, burglaries (home, vehicle, building) are down 34%, while murders and robberies remain steady, El Paso Police Department numbers show.
Police officials said that the increase in vehicle thefts is due to a various factors, including rising vehicle prices and the resurgence of thievery after reopening following the restrictions in the early part of the COVID-19 pandemic.
The current auto theft rate is still far, far smaller than the more than 100 cars stolen per week in El Paso in the 1980s, police officials have said.
Most stolen vehicles in El Paso this year
Chevrolet Silverado (81 stolen)
Dodge Ram 1500 (55)
GMC Sierra (43)
Honda Accord (31)
Hyundai Elantra (29)
Chevrolet Malibu (27)
El Paso is not alone in experiencing a staggering increase in vehicle thefts.
Cities across the nation have seen an "unprecedented rise" in auto thefts and carjackings in the past five years, David Glawe, president and CEO of the National Insurance Crime Bureau, told a U.S. Senate Judiciary Committee in March. Carjackings − the forceful theft of a vehicle through violence − have tripled in some large cities, with many of the jackings being committed by juveniles.
Catalytic converter thefts surge
Like the rest of the nation, El Paso is also seeing a tidal wave of thefts of catalytic converters. A catalytic converter is a metal boxlike device that reduces harmful gasses that's connected to the exhaust system under a vehicle. The device contains precious metals sought by scrapyards and internet buyers.
There have been 244 catalytic converters stolen from parked vehicles in El Paso in the first six months of this year, compared with 363 in all of 2021, Plummer said.
High-clearance vehicles such as SUVs, trucks and fleets, including school buses, have been targets for catalytic converter thieves, AAA Texas warned this week. Recyclers pay $50 to $250 per catalytic converter, but replacing the part could cost between $1,000 to $3,000, depending on the vehicle.
AAA Texas advised drivers to park in well-lighted spots, close to building entrances. Consider engraving the vehicle identification number (VIN) on the catalytic converter to help identify it if it's stolen. Look into security devices and locks.
Crime on the increase
Auto thefts aren't the only crime rising in El Paso. There is also an increase in assaults and vandalism.
Crime categories year-to-date compared with 2021 as of July 9:
Murders 13 16
Robberies 125 124
Vehicle thefts 811 548
Burglaries 473 713
Assaults 4,938 4,280
Vandalism 2,208 1,897
Homicides detectives with the Crimes Against Persons Unit continue investigating the shooting death of a 15-year-old boy on the Fourth of July at a home in the Lower Valley; the death of Juan Francisco Grajeda, 49, in his apartment on North Laurel Street on June 20; and the death of Raul Gerardo Zamora, 28, outside his home on Cannon Hill Drive in the far East Side on June 23. Police officials have yet to release the name of the boy who died.
El Paso has averaged about 22 murders a year in the past 10 years. There were 40 murders in 2019, with more than half of those occurring in the Walmart mass shooting. The deadliest yearly total was 56 murders in 1993.
Anyone with information on unsolved homicides, auto thefts and other criminal activity may anonymously call Crime Stoppers of El Paso at 915-566-8477 (TIPS) or leave a tip online at crimestoppersofelpaso.org.


Absolute Write Water Cooler > Writing Genre > Religious and Spiritual Writing > Christian > Whereto?
View Full Version : Whereto?
I am thinking of writing a bk of prayers centered around the meditation session, w explanations and motivation text between the exposition of the prayer, w each prayer given a ch.
Are there any agents/editors/publishers that you know and think would be worthy of contacting?
I'm not the type of person who likes to read prayers written by others so I may not be the best person to answer this. I did a brief search to see what else was out there like this and I didn't find anything recent. Have you done research to find out if this type of book is marketable?
There are two reasons why there might not be a lot of books like this on the shelves. One is that no one else thought of the idea, and the other is that not many people buy this type of books, so publishers don't publish them.
Thank you for the bother, friend!
If the reason is that no one thought of it, then I'm on it. If it's that it's not much marketable, then, I'm not.
I guess I'll have to find out by myself, lazy but as me, lol... THat shouldn't be a prob, though. A short look into an agent directory will do.


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Camera IconPost Malone. Credit: Instagram
Post Malone to launch line of rosé wine named Maison No. 9
Samantha RogersPerthNow
May 15, 2020 4:58PM
CelebrityFood & DrinksMusic
He might be known for his rockstar lifestyle and chart-topping rap career, but Post Malone promises his newest venture into French wine is for those looking to get a "little fancy".
The Circles hitmaker has announced the launch of his own brand of rosé wine, titled Maison No. 9, reportedly inspired by his favourite tarot card - the Nine of Swords.
The 24-year-old spent much of 2019 travelling to Provence, France to perfect the beverage with his business partners - entrepreneur James Morrissey and music manager Dre London.
Loading Instagram Post
The French Riviera rosé will boast a soft, light pink colour and aromas of "ripe pineapple, pear and strawberry" with hints of "sweet French desserts once uncorked."
Malone spoke about the upcoming venture in a press release, saying the rose was for "when you want to get a little fancy."
"It's a nice switch up and I have been thinking about doing my own wine for a while," he said.
"Maison No. 9 goes down smooth, and you're all going to love it!"
The rosé is set to be available from June 2020 and while the price is yet to be revealed, the brand says it will be "affordable".
Pour me a glass!


everything is free and the snacks are available all the time in the pantry.
Lunch isnt free. Snacks are. Everybody puts on weight here.
What can you tell job seekers about Akamai's Free Lunch or Snacks?"
Glassdoor is your resource for information about the Free Lunch or Snacks benefits at Akamai. Learn about Akamai Free Lunch or Snacks, including a description from the employer, and comments and ratings provided anonymously by current and former Akamai employees.


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Evan Ryan
Evan Maureen Ryan is the assistant for intergovernmental affairs and public liaison for Joe Biden, Vice President of the United States.
Complete biography of Evan Ryan »
One of the U.S. Government's highest priorities is preventing and challenging violent extremism, and we realize we cannot do this alone, we need civil society, in particular students like those involved in this initiative.
– Evan Ryan
Found on FOX News 4 years ago U.S.
These students are helping us reach those who are most vulnerable to extremist recruiting.
Share your thoughts on Evan Ryan's quotes with the community:
"Evan Ryan Quotes." Quotes.net. STANDS4 LLC, 2021. Web. 18 Jan. 2021. <https://www.quotes.net/authors/Evan+Ryan+Quotes>.
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Who said: "Just as courage imperils life; fear protects it"?
A. Mahatma Gandhi
B. George Washington
C. Leonardo da Vinci
D. Ernest Hemingway


I have recently moved to Peru with plans to start a business here, would love to connect with fellow expat business owners who have made the transition.
You must invest a minimum of $30000 and employ 4 full time staff and pay them all benefits.
I had a business in Peru.
As it was a small business I was running together with my gf, we didn't have $30000 and neither could afford to employ 4 staff.
I registered the business in my gf her name.
She only had to pay a small fee (around 150 soles) at La Municipalidad for the license application and for the visit from la Defensa Civil.
It took around 4 days to complete.
She had to bring her DNI, rent contract for the shop we were going to rent, a completed application form and the fee.


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PROCEEDINGS VOLUME 2303
Wavelet Applications in Signal and Image Processing II
Editor(s): Andrew F. Laine; Michael A. Unser
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Volume Number: 2303
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Local discriminant bases
Author(s): Naoki Saito; Ronald Raphael Coifman
We describe an extension to the `best-basis' method to construct an orthonormal basis which maximizes a class separability for signal classification problems. This algorithm reduces the dimensionality of these problems by using basis functions which are well localized in time- frequency plane as feature extractors. We tested our method using two synthetic datasets: extracted features (expansion coefficients of input signals in these basis functions), supplied them to the conventional pattern classifiers, then computed the misclassification rates. These examples show the superiority of our method over the direct application of these classifiers on the input signals. As a further application, we also describe a method to extract signal component from data consisting of signal and textured background.
Asymptotic singular value decay of time-frequency localization operators
Author(s): Christopher E. Heil; Jayakumar Ramanathan; Pankaj N. Topiwala
The Weyl correspondence is a convenient way to define a broad class of time-frequency localization operators. Given a region (Omega) in the time-frequency plane R2 and given an appropriate (mu) , the Weyl correspondence can be used to construct an operator L((Omega) ,(mu) ) which essentially localizes the time-frequency content of a signal on (Omega) . Different choices of (mu) provide different interpretations of localization. Empirically, each such localization operator has the following singular value structure: there are several singular values close to 1, followed by a sharp plunge in values, with a final asymptotic decay to zero. The exact quantification of these qualitative observations is known only for a few specific choices of (Omega) and (mu) . In this paper we announce a general result which bounds the asymptotic decay rate of the singular values of any L((Omega) ,(mu) ) in terms of integrals of (chi) (Omega ) * -(mu) 2 and ((chi) (Omega ) * -(mu) )^2 outside squares of increasing radius, where -(mu) (a,b) equals (mu) (-a, -b). More generally, this result applies to all operators L((sigma) ,(mu) ) allowing window function (sigma) in place of the characteristic functions (chi) (Omega ). We discuss the motivation and implications of this result. We also sketch the philosophy of proof, which involves the construction of an approximating operator through the technology of Gabor frames--overcomplete systems which allow basis-like expansions and Plancherel-like formulas, but which are not bases and are not orthogonal systems.
Spline harmonic analysis and wavelets
Author(s): Valery A. Zheludev
We present here a new approach to wavelet transforms based on techniques of SHA. It is a version of HA which operates in spline spaces. SHA enjoys various applications but here we outline a recent application of SHA techniques, namely, accomplishing on the base of periodic splines the wavelet transforms of periodic signals as well as the remarkable informative digital representation of the signals. SHA approach to wavelets yields a tool just as for the constructing a diversity of spline wavelet bases, so for a fast implementation of a decomposition of a function into a fitting wavelet representation and its reconstruction. This approach allows to construct WP bases for refined frequency resolution of signals.
Oblique projections in discrete signal subspaces of l2 and the wavelet transform
Author(s): Akram Aldroubi; Michael A. Unser
We study the general problem of oblique projections in discrete shift-invariant spaces of l2 and we give error bounds on the approximation. We define the concept of discrete multiresolutions and wavelet spaces and show that the oblique projections on certain subclasses of discrete multiresolutions and their associated wavelet spaces can be obtained using perfect reconstruction filter banks. Therefore we obtain a discrete analog of the Cohen-Daubechies- Feauveau results on biorthogonal wavelets.
Linear phase paraunitary finite impulse response (FIR) filter banks: a complete characterization .
Author(s): Radka Turcajova
A complete characterization of linear phase paraunitary FIR filter banks is given. It is based on factorization into the product of linear factors. For filter banks with an even number of filters centrosymmetric linear factors are used. When the number of filters is odd, the centrosymmetric linear factors do not exist. However, the linear factors in the factorization can be coupled and centrosymmetric quadratic factors can be used. The described factorizations make possible to solve the completion problem--the algorithm for obtaining all possible completions of given filters to a linear phase paraunitary filter bank is derived.
Discrete biorthogonal wavelets and PR finite impulse response (FIR) filter banks via block circulant matrices
Author(s): Jaroslav Kautsky; Radka Turcajova
Factorization of orthogonal block circulant matrices can not be generalized in a straightforward way for block circulant matrices which are merely invertible. However, they can be decomposed into an orthogonal matrix and an atom that represents the `nonorthogonal' part of the matrix. Atoms can be characterized by nilpotent block-companion matrices. This characterization permits, for example, to derive bounds for the width of the band of the inverse of a banded block circulant matrix.
Detecting ionic currents in single channels using wavelet analysis, part I: zero mean Gaussian noise
Author(s): Amir Z. Averbuch; R. S. Eisenberg; M. Israeli; Z. Schuss
The patch clamp technique opened a new field in biological research and shed light on membrane permittivity for ionic currents. The key element in patch clamp measurements is the detection of the ionic currents in a single biological channel. It is known that the channels open and close at random times, thus modulating the ionic currents. The measured current switches between two levels corresponding to the open and close states of the channel. Determining the statistics of the open and closed periods is of crucial importance to the experimenter, because it reflects the response of channel protein to drugs and other factors. The detected signal is strongly corrupted by instrumentation and other noises, rendering the detection of the opening and closing moments extremely difficult. We describe the use of the wavelet transform and its associated multiresolution (multiscale) analysis to detect the currents through single ionic channels corrupted with noise.
Wavelet denoising of EEG signals and identification of evoked response potentials
Author(s): Rene A. Carmona; Lonnie H. Hudgins
The purpose of this study is to apply a recently developed wavelet based de-noising filter to the analysis of human electroencephalogram (EEG) signals, and measure its performance. The data used contained subject EEG responses to two different stimuli using the `odd-ball' paradigm. Electrical signals measured at standard locations on the scalp were processed to detect and identify the Evoked Response Potentials (ERP's). First, electrical artifacts emitting from the eyes were identified and removed. Second, the mean signature for each type of response was extracted and used as a matched filter to define baseline detector performance for the noisy data. Third, a nonlinear filtering procedure based on the wavelet extrema representation was used to de-noise the signals. Overall detection rates for the de-noised signals were then compared to the baseline performance. It was found that while the filtered signals have significantly lower noise than the raw signals, detector performance remains comparable. We therefore conclude that all of the information that is important to matched filter detection is preserved by the filter. The implication is that the wavelet based filter eliminates much of the noise while retaining ERP's.
Wavelet-based detection of transients in biological signals
Author(s): Tahsin Mzaik; Jogikal M. Jagadeesh
This paper presents two multiresolution algorithms for detection and separation of mixed signals using the wavelet transform. The first algorithm allows one to design a mother wavelet and its associated wavelet grid that guarantees the separation of signal components if information about the expected minimum signal time and frequency separation of the individual components is known. The second algorithm expands this idea to design two mother wavelets which are then combined to achieve the required separation otherwise impossible with a single wavelet. Potential applications include many biological signals such as ECG, EKG, and retinal signals.
Extrapolation in multiresolutions
Author(s): Hugo J. Woerdeman; Akram Aldroubi
An extrapolation problem for multiresolution is studied. Solutions involve Hankel type operators defined in terms of the generating sequence of the scaling function of the multiresolution.
Frame and special types of extended pseudobiorthogonal bases
Author(s): Nasr-Eddine Berrached; Hidemitsu Ogawa
As a generalization of the concept of pseudo-biorthogonal bases (PBOB), we already presented the theory of the so-called extended pseudo-biorthogonal bases (EPBOB). We introduce in this paper two special types of EPBOB called EPBOB's of Type O and of type L. Characterizations, construction methods, inherent properties, and mutual relations of these types of EPBOB are discussed.
Frame of wavelets for edge detection
Author(s): Frederic Truchetet; Olivier Laligant; E. Bourenanne; Johel Miteran
We present in the following work, a multiscale edge detection algorithm whose aim is to detect edges of any slope. Our work is based on a generalization of the Canny-Deriche filter, modelized by a more realistic edge than the traditional step shape edge. The filter impulse response is used to generate a frame of wavelets. For the merging of the wavelet coefficients, we use a geometrical classifier developed in our laboratory. The segmentation system thus set up and after the training phase does not require any adjustment nor parameter. The main original property of this algorithm is that it leads to a binary edge image without any threshold setting.
Subband coding and noise reduction in multiresolution analysis frames
Author(s): John J. Benedetto; Shidong Li
We consider the effect of the quantization noise introduced by coding at subbands. We demonstrate that significant noise reduction is achieved by using wavelet frames and their associated filter banks in a subband signal processing system.
Wavelet-based approaches versus subband coding techniques for still-image coding
Author(s): Manuel A. Sola; Sebastia Sallent-Ribes
In this paper, the performance of filters implied in the discrete wavelet transform approach is compared with a set of filters of common application in image processing. A multidimensional multirate codec is designed in which the best subband decomposition and coding is jointly obtained by minimization of a rate-distortion criterion. We also introduce the idea of directional sensitivity based on the initial sampling lattice. This allows the codec to adapt better to the spectral content of the signal. Finally, taking as a starting point the continuous wavelet transform, we propose a discrete multiresolution analysis that would lead to new discrete transforms of special interest when analyzing discrete scalings and shiftings: the completely discrete wavelet transform.
Wavelets and waveform coding: extensions and new results
Author(s): Michael J. Lyall; Sathyanarayana S. Rao; Prashant P. Gandhi
Recently, we demonstrated the use of orthonormal wavelets as desirable waveforms for baseband waveform coding application in digital communications. In this paper, we examine the use of generalized biorthogonal wavelets for waveform coding. Though the transmit and receive waveforms have different supports in the biorthogonal case, it is shown that binary symbols can be extracted easily at the receiver. Spectral characteristics of several types of biorthogonal wavelets are examined and resulting codecs' bandwidth efficiencies (in bits/sec/Hz) are provided. An M-band wavelet codec is also proposed. Preliminary results indicate that the M-band codec (used in this study) will be out-performed by a two-band codec of the same order.
Error correction in images using overcomplete pyramid representations
Author(s): Subrata Rakshit; Charles H. Anderson
The Burt pyramid was developed as a means of decomposing images into multiscale representations. Unlike the wavelet transforms, which are complete orthonormal transformations, the pyramid transforms are overcomplete like frames. In addition, the Burt pyramid has an exact reconstruction rule. This paper first examines the consequences of that redundancy and exact reconstruction. Even though the pyramids are not strictly frames, the pyramids are characterized in much the same way as frames. The issue of error detection is addressed next, followed by the development of an error correction algorithm. This leads to a 10 dB noise reduction in addition to the reduction inherent to reconstruction of frames. Examples are given to show the performance for different types of noise.
Finite element multiwavelets
Author(s): Vasily Strela; Gilbert Strang
Finite elements with support on two intervals span the space of piecewise polynomomials with degree 2 n - 1 and n - 1 continuous derivatives. Function values and n - 1 derivatives at each meshpoint determine these `Hermite finite elements'. The n basis functions satisfy a dilation equation with n by n matrix coefficients. Orthogonal to this scaling subspace is a wavelet subspace. It is spanned by the translates of n wavelets Wi(t), each supported on three intervals. The wavelets are orthogonal to all rescalings Wi(2jt-k), but not to translates at the same level (j equals 0). These new multiwavelets achieve 2 n vanishing moments and high regularity with symmetry and short support.
Constructions of two-dimensional nonseparable Malvar wavelets
Author(s): Xiang-Gen Xia; Bruce W. Suter
Malvar wavelets or lapped orthogonal transform has been recognized as a useful tool in eliminating block effects in transform coding. Suter and Oxley extended the Malvar wavelets to more general forms, which enable one to construct an arbitrary orthonormal basis on different intervals. In this paper, we generalize the idea in Suter and Oxley from 1D to 2D cases and construct nonseparable Malvar wavelets, which is potentially important in multidimensional signal analysis. With nonseparable Malvar wavelets, we then construct nonseparable Lemarie-Meyer wavelets which are band-limited.
Design of regular 2D nonseparable wavelets/filter banks using transformations of variables
Author(s): David B. H. Tay; Nick G. Kingsbury
In this paper we are concerned with the design of 2D biorthogonal, 2-channel filter banks where the sampling is on the quincunx lattice. Such systems can be used to implement the nonseparable Discrete Wavelet Transform and also to construct the nonseparable scaling and wavelet functions. One important consideration of such systems (brought into attention by wavelet theory) is the regularity or smoothness of the scaling and wavelet functions. The regularity is related to the zero-property--the number of zeros of the filter transfer function at the aliasing frequency (((omega) 1,(omega) 2) equals ((pi) ,(pi) ) for the quincunx lattice). In general the greater the number of zeros, the greater the regularity. It has been shown previously by the authors that the transformation of variables is an effective and flexible way of designing multidimensional filter banks. However the wavelet aspects of the filter banks (i.e., regularity) were not considered. In this paper we shall show how the zero- property can be easily imposed through the transformation of variables technique. A large number of zeros can be imposed with ease. Arbitrarily smooth scaling and wavelet functions can be constructed. Several design examples will be given to illustrate this.
Wavelet-packet-based multiple-access communication
Author(s): Rachel E. Learned; A. Hamid Krim; Bernhard E. H. Claus; Alan S. Willsky; William Clement Karl
We explore the role that the wavelet packet transforms can play an increasing multiple access communication throughput via waveform design and receiver design. Wavelet packets offer a flexible framework which allows us to select and refine signature waveforms at intermediate time-frequency levels leading to the development of efficient methods for near optimal receiver implementation. The optimal receiver will jointly demodulate all of the received waveforms and has a complexity which is exponential in the number of users, while a suboptimal version will attempt to do the same with a greatly reduced computational complexity. We believe that our wavelet packet recursive joint detection system described in this paper offers a good alternative approach to existing comparable methods. Specifically, our preliminary analysis and simulation results indicate the potential for a marked computational improvement over the optimal detector and additional flexibility and efficiency over other proposed joint detection schemes for multiple access communication.
Modulation classification using wavelet transform
Author(s): Yu-Chuan Lin; C.-C. Jay Kuo
The wavelet transform has found applications in singularity classification/detection of signal waveforms. In this research, we apply the Morlet wavelet to detect the phase changes, and use the phase change rate as a feature for the classification of PSK modulation schemes. The likelihood function of the alphabet size with respect to the number of symbol change, which corresponds to the phase change of PSK signals, is derived by assuming that the transmitted symbol sequence is i.i.d. and equally likely distributed in an alphabet set. The classification problem can then be formulated as a likelihood ratio test by using the hypothesis testing technique. We show the performance of BPSK/QPSK and CW/BPSK classifiers in numerical experiments.
General theory of discrete Gabor expansion
Author(s): Shidong Li
We present a new and more general theory of discrete Gabor expansions for arbitrary dimensional spaces. We show that a discrete Gabor expansion is in fact a general frame decomposition. We provide a complete characterization of all possible discrete Gabor expansions. We reveal an intrinsic dimension invariance property of the (discrete) Gabor expansion. We derive a parametric algorithm for computing all analysis waveforms that are dimension independent. We shall also consider the issue of optimum Gabor expansion and the construction of non-separable 2D discrete Gabor expansions.
Inexpensive Gabor decompositions
Author(s): Sigang Qiu; Hans Georg Feichtinger; Thomas Strohmer
This is a paper on the discrete Gabor transform. We discuss the calculation of dual and tight Gabor atoms, for Gabor atoms which satisfy certain support restrictions related to the relevant time- and frequency lattice constants. These conditions imply that the Gabor frame operator is just a pointwise multiplication operator and therefore computing the inverse or the square root of the inverse frame operator are computationally inexpensive.
Synthesis of regular very large scale integration (VLSI) architectures for the 1D discrete wavelet transform
Author(s): Jose Fridman; Elias S. Manolakos
A methodology for synthesizing parallel computational structures has been applied to the Discrete Wavelet Transform algorithm. It is based on linear space-time mapping with constraint driven localization. The data dependence analysis, localization of global variables, and space-time mapping is presented, as well as one realization of a 3-octave systolic array. The DWT algorithm may not be described by a set of Uniform or Affine Recurrence Equations (UREs, AREs), thus it may not be efficiently mapped onto a regular array. However it is still possible to map the DWT algorithm to a systolic array with local communication links by using first a non-linear index space transformation. The array derived here has latency of 3M/2, where M is the input sequence length, and similar area requirements as solutions proposed elsewhere. In the general case of an arbitrary number of octaves, linear space-time mapping leads to inefficient arrays of long latency due to problems associated with multiprojection.
Fast algorithms for running wavelet analyses
Author(s): Michael A. Unser; Akram Aldroubi
We present a general framework for the design and efficient implementation of various types of running (or over-sampled) wavelet transforms (RWT) using polynomial splines. Unlike previous techniques, the proposed algorithms are not necessarily restricted to scales that are powers of two; yet they all achieve the lowest possible complexity: O(N) per scale, where N is signal length. In particular, we propose a new algorithm that can handle any integer dilation factor and use wavelets with a variety of shapes (including Mexican-Hat and cosine-Gabor). A similar technique is also developed for the computation of Gabor-like complex RWTs. We also indicate how the localization of the analysis templates (real or complex B-spline wavelets) can be improved arbitrarily (up to the limit specified by the uncertainty principle) by increasing the order of the splines. These algorithms are then applied to the analysis of EEG signals and yield several orders of magnitude speed improvement over a standard implementation.
Self-similar set identification in the time-scale domain
Author(s): Sam Heidari; George A. Tsihrintzis; Chrysostomos L. Nikias; Edmond A. Jonckheere
This paper presents an extensive study of the wavelet transform of self-similar signals and its properties. In particular, theorems are derived for the wavelet transform of deterministic self- similar signals and are used to identify and characterize them. Applications of interest, such as characterization and analysis of real chaotic signals in the presence of additive noise, are included.
Speckle reduction via wavelet shrinkage with application to synthetic-aperture-radar-based automatic target detection/reduction (ATD/R)
Author(s): Haitao Guo; Jan Erik Odegard; Markus Lang; Ramesh A. Gopinath; Ivan W. Selesnick; C. Sidney Burrus
We propose a novel speckle reduction method based on shrinking the wavelet coefficients of the logarithmically transformed image. The method is computational efficient and can significantly reduce the speckle while preserving the resolution of the original image. Wavelet processed imagery is shown to provide better detection performance for synthetic-aperture radar based automatic target detection/recognition problem.
Random wavelet transformation and its properties
Author(s): Tomasz Bielecki; Jie Chen; Stephen S. T. Yau
A discrete random wavelet transformation is defined as a random field of stochastic integrals of translates and dilates of a compactly supported wavelet function with respect to a fractional Brownian motion. It is shown that the transformation exhibits several properties analogous to the ones demonstrated previously for the `classical' wavelet transformation of a fractional Brownian motion. Moreover, some important advantages of the transformation defined here, over its `classical' counterpart, are demonstrated.
Restoring shapes of noisy curves
Author(s): Harvey Diamond; Louise A. Raphael; Daniel Williams
We present a quasi-interpolant spline method to reduce noise and preserve shape of closed curves. Quasi-interpolation provides a natural way to construct a compact filter for generating approximate orthogonal projections.
Enhancement of decompressed images at low bit rates
Author(s): Ramesh A. Gopinath; Markus Lang; Haitao Guo; Jan Erik Odegard
Transform coding at low bit rates introduces artifacts associated with the basis functions of the transform. For example, decompressed images based on the DCT (discrete cosine transform)-- like JPEG--exhibit blocking artifacts at low bit rates. This paper proposes a post-processing scheme to enhance decompressed images that is potentially applicable in several situations. In particular, the method works remarkably well in `deblocking' of DCT compressed images. The method is non-linear, computationally efficient, and spatially adaptive--and has the distinct feature that it removes artifacts while yet retaining sharp features in the images. An important implication of this result is that images coded using the JPEG standard can be efficiently post-processed to give significantly improved visual quality in the images.
Digital image compression using wavelets and wavelet packets based on nonstationary and inhomogeneous multiresolution analyses
Author(s): Andreas Uhl
Unlike the classical wavelet decomposition scheme it is possible to have different scaling and wavelet functions at every scale by using non-stationary multiresolution analyses. For the bidimensional case inhomogeneous multiresolution analyses using different scaling and wavelet functions for the two variables are introduced. Beyond it, these two methods are combined. All this freedom is used for compact image coding. The idea is to build out of the functions in a library that special non-stationary and/or inhomogeneous multiresolution analysis, that is best suited for a given image in the context of compact coding (in the sense of optimizing certain cost-functions).
Coupling of human visual system model and wavelet transform for image compression
Author(s): Silvia Bertoluzza; Maria Grazia Albanesi
In this work we study a combination between wavelet transform and a model of the human visual system both from the mathematical and the computational point of view. We will combine the two procedures in such a way that the computational complexity of the whole procedure is reduced for the maximum possible amount. The gaol is to improve the quality compression, by modelling the human visual system in the compression-decompression tasks. As a result, new filters for image compression are provided for any given multiresolution analysis, independently of the coding method adopted. The proposed algorithm has been applied to grey level images and compared to more traditional approaches which do not comprehend a modelization of the human visual system.
Multiplicative and zero-crossing representations of signals
Author(s): Anca Deliu; Michael L. Hilton; Bjorn D. Jawerth; Prasanjit Panda; Wim Sweldens
The implicit sampling theorem of Bar-David gives a representation of band limited functions using their crossings with a cosine function. This cosine function is chosen such that its difference with the original function has sufficient zero crossings for a unique representation. We show how, on an interval, this leads to a multiplicative representation involving a Riesz product. This provides an alternative to the classic additive Fourier series. We discuss stability and implementation issues. Since we have an explicit reconstruction formula, there is no need for an iterative algorithm.
Scale and harmonic-type signals
Author(s): Nenad M. Marinovic; Leon Cohen; Srinivasan Umesh
We show that signals which are harmonically related to a fundamental frequency which has a finite bandwidth is modeled by the sum of scaled functions. We present a method to study such signals and give an example which illustrates the method.
Multiscale shape simplification for object recognition
Author(s): Peter Forte; Darrel Greenhill
The outline of an imaged object is usually obtained as a linked list of edge elements (`edgels'). When these edgels are connected, the resulting shape is hardly ever smooth. This is because even when edgels are detected with subpixel accuracy, the spatial and gray level quantization of the original image mans that consecutive edges show random fluctuations in position and orientation. Fluctuations may also occur as a result of noise or natural variation in the object's boundary. Hence to recognize an object it is necessary to represent the boundary at varying scales of resolution in order to extract the underlying shape. High frequencies may be discarded using smoothing filters or by thresholding wavelet transforms. In this paper these approaches are described and contrasted with an alternative approach of the authors' based on term rewriting. In the latter approach the object outline is represented by a sparse array of edgels. Between any two consecutive edgels the path of the object boundary can be reconstructed (by a contour completion algorithm) to within a tolerance given by the current value of the scale space parameter. As this parameter increases, the number of edgels required to define the outline decreases--hence the shape becomes simpler at the cost of increasing approximation.
Detection of microcalcifications in mammograms using wavelets
Author(s): Robin N. Strickland; Hee Il Hahn
Clusters of fine, granular microcalcifications in mammograms may be an early sign of disease. Individual grains are difficult to detect and segment due to size and shape variability and because the background mammogram texture is typically inhomogeneous. We present a two- stage method based on wavelet transforms for detecting and segmenting calcifications. The first stage consists of a full resolution wavelet transform, which is simply the conventional filter bank implementation without downsampling, so that all sub-bands remain at full size. Four octaves are computed with two inter-octave voices for finer scale resolution. By appropriate selection of the wavelet basis the detection of microcalcifications in the relevant size range can be nearly optimized in the details sub-bands. In fact, the separable 2D filters which transform the input image into the HH details sub-bands are closely related to pre- whitening matched filters for detecting Gaussian objects (idealized microcalcifications) in Markov noise (background noise). The second stage is designed to overcome the limitations of the simplistic Gaussian assumption and provides a useful segmentation of calcifications boundaries. Detected pixel sites in the LH, HL, and HH sub-bands are heavily weighted before computing the inverse wavelet transform. The LL component is omitted since gross spatial variations are of little interest. Individual microcalcifications are often greatly enhanced in the output image, to the point where straightforward thresholding can be applied to segment them. FROC curves are computed from tests using a well-known database of digitized mammograms. A true positive fraction of 85% is achieved at 0.5 false positives per image.
Reduced motion artifacts in magnetic resonance imaging by adaptive spatio-temporal multiresolution reconstruction
Author(s): Tim E. Olson; Dennis M. Healy Jr.; John B. Weaver
In this paper we introduce an algorithm for imaging a time varying object f(x,t) from its projections at different fixed times. We show that the reconstruction of coarse features, corresponding to low spatial-frequency data, can be made nearly instantaneously in time from the evolving data. A temporal sequence of these low spatial-frequency reconstructions can be used to estimate the motion of the object. Once the motion is estimated, we may use the estimate to compensate for some of the motion of fine scale features. This enables accurate reconstructions of the time varying fine structure in several cases. The algorithm is demonstrated for a selection of phantoms and actual MRI studies. In general, this technique shows promise for a wide variety of applications in MRI, as well as for heart imaging using x- ray CT. Clinical applications should include both functional MRI such as dynamic imaging of oxygen usage and blood flow in the brain, and motion imaging of joints, angiography in the lungs, and heart imaging.
Concise and scale-specific extraction of biomedically relevant information from visual evoked potential signals: combining factor analysis with wavelet decomposition
Author(s): Vincent J. Samar; Gauri Kulkarni; Kenneth P. Swartz; Ila Parasnis; Raghuveer M. Rao; Vishwas Udpikar
The nervous system possesses an intrinsic multiscale organization of processing systems. Evoked potentials (EPs) and other neurometric signals contain corresponding multiscale information about the normal and disordered functioning of the nervous system. The discrete wavelet transform (DWT) explicitly distinguishes among multiple scales of waveform structure, and can be used to decompose EPs in a manner that respects this intrinsic organization. In this paper we provide evidence for the multiscale structure of EPs. We demonstrate that EPs contain scale-specific information of biomedical, neurophysiological, and neuropsychological relevance. Finally, we show that the DWT provides information about small-scale phenomena that is inaccessible by standard neurometric waveform analysis techniques.
Discrete dyadic wavelets for contrast enhancement
Author(s): Andrew F. Laine; Jian Fan; Sergio Schuler
In this paper, we establish a mathematical connection between dyadic-wavelet-based contrast enhancement and traditional unsharp masking. Our derivation is completely based in the discrete domain. These findings may provide a better theoretical understanding of these algorithms, and facilitate the acceptance of multiscale enhancement techniques applied to medical imaging.
Smooth image segmentation via multiresolution analysis
Author(s): Jing Zhou; Xiang Fang; Bijoy K. Ghosh
In this paper, the problem of segmentation of smooth images has been studied using multiresolution analysis. The approximated image intensity function is modeled as a quadratic polynomial with additive noise within local windows. The analysis has been carried out with the aid of a new orthonormal wavelet basis introduced in this paper. A procedure has been developed to approximate an image at a coarse resolution by dropping the components of the image in such a way that small bumps at finer resolutions are suppressed. An image segmentation scheme is proposed. It performs initial segmentation on a coarse approximation of the image, and then updates the segments of the image at a finer resolution. The proposed algorithm has been tested on a variety of real images such as human faces, natural scenes, and medical images.
Image segmentation using phase coding and wavelet transform
Author(s): Daniel G. Hennequin; Jacques Lewandowski
The phase-coded image of a scene results from the projection of a grid on the objects of the scene. We show how the wavelet transform can be used as an oriented pattern detector for the segmentation of phase-coded images. The detector coupled with a rotation of the digital camera enables detection of 3D planar surfaces. A digital image rotation technique using a scaling function from multiresolution analysis is also presented. Discussion of Fourier transform methods of segmentation of phase-coded images motivates the oriented pattern detection approach.
Local and global multiscale image classification
Author(s): Jean-Marc Boucher; Goze Benie; Regis Fau; Stephane Plehiers
Different unsupervised Bayesian classification algorithms can be associated to a multiscale image analysis procedure leading to improvements, both in computation time and classification performances. Two kinds of algorithms are used for the classification itself: (1) local methods on a pixel-by-pixel basis and (2) global methods, which require a Markov random field model for the whole class image. Unsupervised Bayesian classification requires two steps, one for the parameter estimation of each local or global mode and one for the Bayesian classification itself. A Gaussian density with parameters depending on the class is assumed for the pixels. In a multiscale analysis scheme, the image is decomposed by successive filtering and downsampling, which allows to separate homogeneous areas and edges according to a pyramidal structure. One scale pyramid containing smaller and smaller smoothed images and one wavelet pyramid with the complementary information concerning details are built. Unsupervised Bayesian classification is done at each level of the scale pyramid, from top to bottom, by taking into account pixels which are assumed well classified at the previous level. The wavelet pyramid can be used to help the classification by defining if a classified pixel belongs to an homogeneous area or not. The homogeneity criterion consists in a variance comparison at each stage and a thresholding. A comparison has been made on very noisy synthetic images, which permits to measure the improvements and drawbacks brought by the multiscale analysis in local and global classification.
Wavelet transform adaptive filtering
Author(s): Laurence M. Dang
An LMS adaptive filtering algorithm is presented utilizing wavelet transforms. Its performance is compared to DCT and Walsh-Hadamard transform-based adaptive filtering. The experimental analysis is performed in the case of the system identification of an unknown system or filter for stationary input signals. The results show some improvement in the weight modelling of the filter with comparable convergence rates. A new performance criteria, the diagonality factor, is introduced in order to show the specific effect of the wavelet transform on a signal. A Mean Average Difference is also utilized to compare the weight modelling performance of the various transform-based LMS adaptive filterings studied in this paper.
Audio signal compression using circular wavelet packets
Author(s): James F. Scholl; Daniel N. Rogovin
We have successfully compressed audio signals using wavelet packets based on a recently developed fast wavelet transform (FWT) scheme using circular convolution with an adaptive hybrid filter/basis system. This algorithm gives perfect reconstruction of the data; edge effects are removed entirely. As a result, the quality of audio signal compression is much improved. To illustrate this, we present results from our comparison study where we compressed a test signal using these `circular wavelet packets' and wavelet packets based on the standard FWT.
Information theoretic approach to space-frequency localization
The design of spatio-temporal filters to estimate velocity has been dominated by the frequency domain approach. Filters are designed to be as compact as possible in frequency domain for velocity resolution and compact in the spatial domain for good spatial resolution. An alternative is to design filters such that their outputs are maximally informative. An information theoretic analysis highlights the importance of the input prior in filter design. Under the assumption of a simple input or that only the dominant component of a complex input needs to be estimated, it is shown that a filter bank of broadly tuned filters can be used to accurately estimate the input frequency. For such inputs there is an incremental gain in information at a huge increase in cost for filter banks using sets of filters tuned narrower than a certain width. The issues of resolution and complex inputs are also addressed. The output of a filter bank encodes information in a redundant manner making it robust to noise in the system. By developing a probability measure it is possible to make the output of the system generate probability distributions of parameter. Examples for orientation, spatial and temporal frequency are given.
Multiresolution estimation of motion using the wavelet transform
Author(s): Enrique Barria; Jogikal M. Jagadeesh
Many applications in research, in manufacturing and in every day life require measurement of velocity. Generally the velocity is estimated from a sequence of images. There are many methods reported in the literature using heuristics and transform techniques. In general these methods are tailored to specific applications. We propose a wavelet transform based technique to estimate velocity. We assume that the scene can be piecewise modeled by a multi variable polynomial. We have derived wavelet functions that can be used to estimate velocity from components of the wavelet transform. The technique has been demonstrated for 1D analytical functions and the error is less than 0.5% for polynomials of finite degree, and less than 5% for sinusoids. For 2D sequence of images, the image space is represented by a spatio temporal cube, and partitioned into subcubes of different dimensions. Wavelet transform techniques can then be applied to these variable size segments at multiple resolution. To estimate the two velocity components Vx and Vy in this spatio temporal cube requires the solution of a system of 8 non linear equations. We are in the process of solving these non linear equations.
Wavelet transform approach to the feature extraction for incoherent radar ship target
Author(s): Jun Lu; Wenxian Yu; Yue Jin; Jianhui Wu
In this paper, a new approach to the feature extraction for incoherent radar ship target recognition is proposed, based on the discrete dynamic wavelet transform. Experiments are carried out for the method with practical video-echo data of four kinds. The corresponding results indicate that the extracted features are typical with high data compression.
Multichannel texture segmentation using Talbot effect
Author(s): Wenlu Wang; Yingbai Yan; Guofan Jin; Minxian Wu
Textured image is considered as the repetition of some primitives with a certain rule of displacement, thus every region in the image has different periodic structure. The segmentation is realized by its self-imaging effect. A series of Fresnel images can be obtained at the fractional Talbot distances depended on the periodicity of the original. All these images are a summation of the Fourier frequency modulated by a phase factor, which related with the fractional Talbot distance. Therefore, these images can be considered as the multichannel Talbot transform of the original image and represent the texture features to a certain extent. By comparing these images, different texture regions are segregated. Theoretical analysis and primitive experimental results are presented.
Quantitative evaluation of wavelet-based image processing algorithms
Author(s): Zhenxue Jing; Yisheng Zheng; Walter Huda; Andrew F. Laine; Jian Fan; Yunong Xing
Wavelet analysis is currently being investigated as an image enhancement tool for use in mammography. Although this approach to image processing appears to have great promise, there remain major uncertainties regarding an optimal form of wavelet based algorithms. It is, therefore, desirable to have a quantitative method for evaluating a wavelet based image processing algorithm. Optimization of algorithms prior to evaluation using standard Receiver Operating Characteristic method is made possible. A mathematical method has been developed where the input signal is a gaussian with added random noise. An enhancement factor (EF) is obtained from input and output signal-to-noise ratios, SNRi and SNRo, (EF equals SNRo/SNRi). The development and testing of this method is described, and a practical application in given showing the major features of a wavelet based image processing algorithm based on the Frazier-Jawerth transform.
Spectral radius of sets of matrices
Author(s): Mohsen Maesumi
Spectral radius of sets of matrices is a fundamental concept in studying the regularity of compactly supported wavelets. Here we review the basic properties of spectral radius and describe how to increase the efficiency of estimation of a lower bound for it. Spectral radius of sets of matrices can be defined by generalizing appropriate definitions of spectral radius of a single matrix. One definition, referred to as generalized spectral radius, is constructed as follows. Let (Sigma) be a collection of m square matrices of same size. Suppose Ln((Sigma) ) is the set of products of length n of elements (Sigma) . Define pn((Sigma) ) equals maxA(epsilon Ln [p(A)]1/n where p(A) is the usual spectral radius of a matrix. Then the generalized spectral radius of (Sigma) is p((Sigma) ) equals lim supnyields(infinity )pn((Sigma) ). The standard method for estimating p((Sigma) ), through pn((Sigma) ), involves mn matrix calculations, one per each element of Ln((Sigma) ). We will describe a method which reduces this cost to mn/n or less.
Fractal function, splines, intertwining multiresolution analysis, and wavelets
Author(s): George C. Donovan; Jeffrey S. Geronimo; Douglas P. Hardin
The construction of smooth, orthogonal compactly supported wavelets is accomplished using fractal interpolation functions and splines. These give rise to multiwavelets. In the latter case piecewise polynomial wavelets are exhibited using an intertwining multiresolution analysis.
Class of smooth nonseparable N-dimensional scaling functions
Wavelets of compact support are an important tool in many areas of signal analysis. A starting point for the construction of such wavelets is the scaling function, the solution of the dilation equation. We study the dilation equation (phi) (X) equals (Sigma) KCK(phi )(2X-K) where K (epsilon) {0...m}N, (phi) :RN yields R, CK (epsilon) R. This paper gives a set of sufficient conditions on CK under which the solution of the dilation equation has a specific degree of regularity. We will construct (phi) through infinite products of 2N associated matrices with entries in terms of CK. The conditions for regularity are based on certain sum rules that triangularize all of the associated matrices and on certain inequalities that control the eigenvalues of the matrices. The net effect of the sum rules is to specify the coefficients CK in terms of a binomial interpolation of their values at the corners of the N-cube, {0,m}N. The inequalities are based on sums of the coefficients at the corners of the various faces of the N-cube. The number of derivatives that (phi) possesses and the Holder exponent of the last derivative can be determined for the sums.


Cheap teaching for anyone, who wants to know how to DoS vulnerable websites or hack into the databases of vulnerable websites using SQL injection.
If you have any questions, inbox me and I will answer to them! Don't hesitate.


Top seeds Roger Federer and Maria Sharapova both moved smoothly into the last 16 at the French Open on Saturday.
Federer outplayed close friend Mario Ancic of Croatia, winning 6-3, 6-4 6-2 in cool, rainy, evening conditions on the Philippe Chatrier Centre Court.
Earlier in the day, Sharapova needed a set to get going, but she finally found her form to defeat Italy's Karin Knapp 7-6 (7/4), 6-0.
In men's third-round action, the main upset came when back-to-form Ivan Ljubicic of Croatia battled from two sets down to oust fourth seed Nikolay Davydenko of Russia 4-6, 2-6, 6-3, 6-2, 6-4.
It was, he said, his "biggest victory ever, especially coming back from two sets down to beat Nikolay" and came after "a very dark period for me the last 12 months" when he was mentally worn out.
The 26-year-old Federer, who is looking to win the only Grand Slam title that has eluded him, broke Ancic in the fourth game of the first set to set the tone for what turned out to be a one-sided contest.
Ancic, who is climbing back up the world rankings after missing most of last season through illness and injuries, simply had no answer to the Swiss star's command of the exchanges, either from the baseline or at the net.
"I struggled a little bit early on but once I got the break I started to play better and more freely," said Federer.
Federer went through for a fourth-round match-up against Frenchman Julian Benneteau, who beat Robin Soderling of Sweden 1-6, 7-6 (8/6), 6-0, 6-1.
The French flag was flying also former world junior champion Gael Monfils, whose superior fitness helped him see off Jurgen Melzer of Austria 4-6, 7-5, 4-6, 6-0, 6-2.
Fifth seed David Ferrer of Spain also slugged it out over five sets with Australia's Lleyton Hewitt before winning 6-2, 3-6, 6-3, 3-6, 6-4, but Davydenko became the highest seed to fall in the tournament with his loss to Ljubicic.
Robby Ginepri became the first American player to reach the fourth round since Andre Agassi in 2003 with an impressive 6-4, 6-4, 6-4 trouncing of Florent Serra of France.
He moved through to take on Chile's Fernando Gonzalez, who also fought back from two sets down to beat ninth seed Stanislas Wawrinka of Switzerland 5-7, 2-6, 6-4, 6-4, 6-4.
In the first set against Knapp, the 21-year-old Sharapova again found it hard to shake off the poor form that has seen her struggle to live up to her top seeding.
She had problems with her serve and consistency as Knapp came within two points of taking a one-set lead.
But in the second, after breaking serve in a marathon second game, Sharapova visibly relaxed, allowing her to deploy her impressive arsenal of ground strokes.
Sharapova needed three sets to win in each of her two previous rounds ,and in all three matches completed so far she has had to play for over two hours.
She knows though that she will have to add more consistency to her game before going up against compatriot Dinara Safina with a quarterfinal place at stake. The pair have met five times with Sharapova winning three.
"I kind of forgot what it felt like to finish in two, even though I still managed to play for two hours out there," she said.
"It was quite scratchy the first two [games] and I spent a lot more time than I would have liked on the court.
Safina made it through to the fourth round in Paris for the third straight year with a 6-2, 7-5 win over China's last representative, Zheng Jie.
Following the two of them into the last 16 was 2006 runner-up Svetlana Kuznetsova, who comfortably saw off another Russian, Nadia Petrova 6-2, 6-1.
The fourth seed said that she had come into Paris in poor form but that just playing in a Grand Slam event had given her the boost she needed and she felt that she has the chance to go all the way this year.
She next takes on rising star Victoria Azarenka of Belarus, a player she has beaten on two previous occasions. The 18-year-old former world junior champion crushed Italian veteran Francesa Schiavone 6-1, 6-1 and she has lost only two games in her last two matches.


Can a Slab have a Sloping Elevation Point?
How to create Mitred joint between steel beam members?
How to place Nodal Force in a Member?
"Could not find project or project file".
Structural members don't seem to retain their relationships to one another.


A song I made years (and I mean YEARS) back before I even knew what fruity loops was. Made entirely on an old program called "MTV Music Generator". Afro-Ninja said he could use a looped version of it on Territory War Online so I'm posting it for that. Please keep in mind that this was made around 10 years ago with a mediocre music creating software, so don't be too harsh, lol!
I get chills every time I listen to this.
This is the pure meaning of 1337. I hereby award the author the interwebz. That this can be ten years old and still this awesome is just another testament to the 1337-ness of the author. You go, man!
I heard this in Territory War and I was like , "I HAVE GOT TO FIND IT"
you say that this is mediocre but this is pro.
compared to the stuff I create this is UBER-Pro.
You COULDN'T have made this years ago cause its still very , very awesome.
The song sounds like it could be on some old Final Fantasy game!
Great tone, not to harsh but not to smooth. Very good work, my friend.
I can't believe you made this many years ago, and yet it's so good. Keep your excellent work up!
10 years or not its the best song in its gerne this was one of my first FAV songs.


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Your daily dose of skin-boosting vitamins to prep your skin for a bright and even glow.
Custom serum blend targets uneven skin tone and helps reduce the appearance of dark spots for brighter and more radiant-looking skin. Hydrogel encapsulated technology delivers effective results allowing you to be your own mixologist while creating a custom regimen to tackle your skin's needs!
Step up your beauty game with Physicians Formula! Physicians Formula has a wide variety of products to help you look your best. I had the pleasure of trying the products above and I'm super impressed!
Physicians Formula's BUTTER EYESHADOW PALETTE is available in Tropical Days and Sultry Nights and is totally fabulous! Each palette features 12 universally flattering shades. Each shade is incredibly soft and ultra-creamy for smooth, blendable and buildable coverage. I absolutely love that I can apply the eyeshadow wet or dry for a subtle or dramatic pop of color.
Physicians Formula's MURUMURU BUTTER LIP CREAM SPF 15 is the perfect lip product! It's a creamy, oh so silky, buttery lip color that nurtures and protect lips. It also contains SPF to protect your lips.
SKIN BOOSTER VITAMIN SHOT TIME-RESTORING from Physicians Formula is a daily dose of skin-boosting vitamins to prep your skin for a youthful-looking glow. It helps to reduce signs of aging while tackling skin's dullness, wrinkles and loss of elasticity revealing a youthful complexion. It's incredibly easy to use, absorbs quickly and helps skin look its best!
Physicians Formula's SKIN BOOSTER VITAMIN SHOT - BRIGHTENING is a daily dose of skin-boosting vitamins to prep your skin for a bright and even glow. I absolutely love that it targets uneven skin tone and helps reduce the appearance of dark spots for brighter and more radiant-looking skin. This is my new secret to glowing skin!
SKIN BOOSTER VITAMIN SHOT - HYDRATING from Physicians Formula is a daily dose of skin-boosting vitamins to prep your skin for a hydrated glow. This product is my cure for dryness and dehydration! It provides instant moisture and vitamins to my skin to heal, hydrate and restore. It's perfect for those with dry skin!
THE PERFECT MATCHA 3-IN-1 MELTING CLEANSING BALM from Physicians Formula is the perfect way to take it all off! It melts away makeup, deeply cleans away impurities and leaves the skin fully supple and hydrated. I absolutely love that this cleanser doesn't strip my skin, yet effectively cleans it!
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We present a novel design and implementation of k-means clustering algorithm targeting supercomputers with heterogeneous many-core processors. This work introduces a multi-level parallel partition approach that not only partitions by dataflow and centroid, but also by dimension. Our multi-level ($nkd$) approach unlocks the potential of the hierarchical parallelism in the SW26010 heterogeneous many-core processor and the system architecture of the supercomputer.
This work is to be presented in the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC18).
Record linkage is the process of identifying records that refer to the same real-world entities, in situations where entity identifiers are unavailable. Records are linked on the basis of similarity between common attributes, with every pair being classified as a link or non-link depending on their degree of similarity. Record linkage is usually performed in a three-step process: first groups of similar candidate records are identified using indexing, pairs within the same group are then compared in more detail, and finally classified. Even state-of-the-art indexing techniques, such as Locality Sensitive Hashing, have potential drawbacks. They may fail to group together some true matching records with high similarity. Conversely, they may group records with low similarity, leading to high computational overhead. We propose using metric space indexing to perform complete record linkage, which results in a parameter-free record linkage process combining indexing, comparison and classification into a single step delivering complete and efficient record linkage. Our experimental evaluation on real-world datasets from several domains shows that linkage using metric space indexing can yield better quality than current indexing techniques, with similar execution cost, without the need for domain knowledge or trial and error to configure the process.
In this talk, I will talk about the possibility of using Bayesian nonparametric clustering, or Dirichlet Process Mixture model to solve human activity recognition problem. In particular, I will discuss how the technique can be useful when the activity labels are not annotated and/or the activity evolves over the time. This initial study is built on an existing work on using directional statistical models (von Mises-Fisher) distribution, called Hierarchical Mixture of Conditional Independent von Mises Fisher distribution (HMCIvMFs), for unknown events detection and learning. Markov chain Monte Carlo sampling based learning algorithm will be presented together with some initial experiment results.
Data processing paradigms are undergoing a paradigm shift as we move more and more towards real time processing. Emerging software models such as the SMACK stack are at the forefront of this change, focused on a pipeline processing model, but are also introducing new levels of operational complexity in running multiple complex distributed systems such as Spark, Kafka and Cassandra. In this talk, I'll introduce both Apache Mesos and DC/OS as a solution to this growing problem, and describe the benefits are of running these new kinds of systems for emerging cloud native workloads.
We have explored data coordination techniques that permit distributed systems to be constructed by interconnecting services. In such systems the network latency is often a problem. For example, large data volumes might have to be transmitted across the network if computation cannot be co-located close to data sources. One solution to this problem is the ability to deploy services in appropriate geographical locations and compose them together to create distributed ecosystems. Hence we seek to be able to deploy such services rapidly and dynamically enact and orchestrate them. However, this goal is hindered by the size of the deployments. Currently, virtual machine appliances that host such services on top of monolithic kernels are very large, thus are potentially slow to deploy as they may need to be transmitted across a network.
Our principles led us to take the route of re-engineering the standard software stack to create self-contained applications that are less-bloated and consequently much smaller based on Unikernels. Unikernels are compact library operating systems that enable a single application to be statically linked against a simple kernel that manages the underlying resources presented by a hypervisor. In this talk I will present Stardust – a specialised Unikernel that aims to support the deployment of application services based on the Java programming language.
these ideas, which highlights some fascinating problems.
"Indoor environment quality has a significant effect on worker productivity through a complex interplay of factors such as temperature, humidity and levels of Volatile Organic Compounds (VOCs).
"Cloud computing is becoming an almost ubiquitous part of the computing landscape. For many companies today, moving their entire infrastructure and workloads to the cloud reduces complexity, time to deployment, and saves money. Spot Instances, a subset of Amazon's cloud computing infrastructure (EC2), expands on this. They allow a user to bid on spare compute capacity in Amazon's data centres at heavily discounted prices. If demand was ever to increase such that the user's maximum bid is exceeded, their compute instance is terminated.
In this work, we conduct one of the first detailed analyses of how location affects the overall cost of deployment of a spot instance. We simultaneously examine the reliability of pricing data of a spot instance, and whether a user can be confident that their instance has a low risk of termination.
We analyse spot pricing data across all available Amazon Web Services regions for 60 days on a variety of instance types. We find that location does play a critical role in spot instance pricing and also that pricing differs depending on the granularity of the location – from a more coarse-grained AWS region to a more fine-grained Availability Zone within a region. We relate the pricing differences we find to the price's stability, confirming whether we can be confident in the bid prices we make.


Are you interested in getting at 350 started in the North side of Toronto (North York, Vaughan, Richmond Hill, Markham)? Then come on out and join us! This is a no-obligation, informal intro meeting to explain the plan and see who is interested.
We'll be hosting West side, East side and Durham region meetings in the coming weeks too. Watch this space or let us know where you're interested in seeing a 350 group spring into existence!