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  • SQLAuthority News – Download Whitepaper – Understanding and Controlling Parallel Query Processing in SQL Server

    - by pinaldave
    My recently article SQL SERVER – Reducing CXPACKET Wait Stats for High Transactional Database has received many good comments regarding MAXDOP 1 and MAXDOP 0. I really enjoyed reading the comments as the comments are received from industry leaders and gurus. I was further researching on the subject and I end up on following white paper written by Microsoft. Understanding and Controlling Parallel Query Processing in SQL Server Data warehousing and general reporting applications tend to be CPU intensive because they need to read and process a large number of rows. To facilitate quick data processing for queries that touch a large amount of data, Microsoft SQL Server exploits the power of multiple logical processors to provide parallel query processing operations such as parallel scans. Through extensive testing, we have learned that, for most large queries that are executed in a parallel fashion, SQL Server can deliver linear or nearly linear response time speedup as the number of logical processors increases. However, some queries in high parallelism scenarios perform suboptimally. There are also some parallelism issues that can occur in a multi-user parallel query workload. This white paper describes parallel performance problems you might encounter when you run such queries and workloads, and it explains why these issues occur. In addition, it presents how data warehouse developers can detect these issues, and how they can work around them or mitigate them. To review the document, please download the Understanding and Controlling Parallel Query Processing in SQL Server Word document. Note: Above abstract has been taken from here. The real question is what does the parallel queries has made life of DBA much simpler or is it looked at with potential issue related to degradation of the performance? Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL White Papers, SQLAuthority News, T SQL, Technology

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  • C#.NET (AForge) against Java (JavaCV, JMF) for video processing

    - by Leron
    I'm starting to get really confused looking deeper and deeper at video processing world and searching for optimal choices. This is the reason to post this and some other questions to try and navigate myself in the best possible way. I really like Java, working with Java, coding with Java, at the same time C# is not that different from Java and Visual Studio is maybe the best IDE I've been working with. So even though I really want to do my projects in Java so I can get better and better Java programmer at the same time I'm really attract to video processing and even though I'm still at the beginning of this journey I want to take the right path. So I'm really in doubt could Java be used in a production environment for serious video processing software. As the title says I already have been looking at maybe the two most used technologies for video processing in Java - JMF and JavaCV and I'm starting to think that even they are used and they provide some functionality, when it comes to real work and real project that's not the first thing that comes to once mind, I mean to someone that have a professional opinion about this. On the other hand I haven't got the time to investigate .NET (c# specificly) options but even AForge looks a lot more serious library then those provided for Java. So in general -either ways I'm gonna spend a lot of time learning some technology and trying to do something that make sense with it, but my plan is at the end the thing that I'll eventually come up to be my headline project. To represent my skills and eventually help me find a job in the field. So I really don't want to spend time learning something that will give me the programming result I want but at the same time is not something that is needed in the real world development. So what is your opinion, which language, technology is better for this specific issue. Which one worths more in terms that I specified above?

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  • JVM (embarrasingly) parallel processing libraries/tools

    - by Winterstream
    I am looking for something that will make it easy to run (correctly coded) embarrassingly parallel JVM code on a cluster (so that I can use Clojure + Incanter). I have used Parallel Python in the past to do this. We have a new PBS cluster and our admin will soon set up IPython nodes that use PBS as the backend. Both of these systems make it almost a no-brainer to run certain types of code in a cluster. I made the mistake of using Hadoop in the past (Hadoop is just not suited to the kind of data that I use) - the latency made even small runs execute for 1-2 minutes. Is JPPF or Gridgain better for what I need? Does anyone here have any experience with either? Is there anything else you can recommend?

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  • Basic image processing question

    - by indoman
    Can you enlarge a feature so that rather than take up a certain number of pixels it actually takes up one or two times that many to make it easier to analyze? Would there be a way to generalize that in MATLAB?

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  • Beginner video capture and processing/Camera selection

    - by mattbauch
    I'll soon be undertaking a research project in real-time event recognition but have no experience with the programming aspect of video capture (I'm an upperclassman undergraduate in computer engineering). I want to start off on the right foot so advice from anyone with experience would be great. The ultimate goal is to track events such as a person standing up/sitting down, entering/leaving a room, possibly even shrugging/slumping in posture, etc. from a security camera-like vantage point. First of all, which cameras/companies would you recommend? I'm looking to spend ~$100, more if necessary but not much. Great resolution isn't a must, but is desirable if affordable. What about IP network cameras vs. a USB type webcam? Webcams are less expensive, but IP cameras seem like they'd be much less work to deal with in software. What features should I look for in the camera? Once I've selected a camera, what does converting its output to a series of RGB bitmaps entail? I've never dealt with video encoding/decoding so a starting point or a tutorial that will guide me up to this point would be great if anyone has suggestions. Finally, what is the best (least complicated/most efficient) way to display video from the camera plus my own superimposed images (boxes around events in progress, for instance) in a GUI application? I can work on any operating system in any language. I have some experience with win32 GUIs and Java GUIs. The focus of the project is on the algorithm and so I'm trying to get the video capture/display portion of the app done cleanly and quickly. Thanks for any responses!!

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  • image processing algorithm in MATLAB

    - by user261002
    I am trying to reconstruct an algorithm belong to this paper: Decomposition of biospeckle images in temporary spectral bands Here is an explanation of the algorithm: We recorded a sequence of N successive speckle images with a sampling frequency fs. In this way it was possible to observe how a pixel evolves through the N images. That evolution can be treated as a time series and can be processed in the following way: Each signal corresponding to the evolution of every pixel was used as input to a bank of filters. The intensity values were previously divided by their temporal mean value to minimize local differences in reflectivity or illumination of the object. The maximum frequency that can be adequately analyzed is determined by the sampling theorem and s half of sampling frequency fs. The latter is set by the CCD camera, the size of the image, and the frame grabber. The bank of filters is outlined in Fig. 1. In our case, ten 5° order Butterworth11 filters were used, but this number can be varied according to the required discrimination. The bank was implemented in a computer using MATLAB software. We chose the Butter-worth filter because, in addition to its simplicity, it is maximally flat. Other filters, an infinite impulse response, or a finite impulse response could be used. By means of this bank of filters, ten corresponding signals of each filter of each temporary pixel evolution were obtained as output. Average energy Eb in each signal was then calculated: where pb(n) is the intensity of the filtered pixel in the nth image for filter b divided by its mean value and N is the total number of images. In this way, en values of energy for each pixel were obtained, each of hem belonging to one of the frequency bands in Fig. 1. With these values it is possible to build ten images of the active object, each one of which shows how much energy of time-varying speckle there is in a certain frequency band. False color assignment to the gray levels in the results would help in discrimination. and here is my MATLAB code base on that : clear all for i=0:39 str = num2str(i); str1 = strcat(str,'.mat'); load(str1); D{i+1}=A; end new_max = max(max(A)); new_min = min(min(A)); for i=20:180 for j=20:140 ts = []; for k=1:40 ts = [ts D{k}(i,j)]; %%% kth image pixel i,j --- ts is time series end ts = double(ts); temp = mean(ts); ts = ts-temp; ts = ts/temp; N = 5; % filter order W = [0.00001 0.05;0.05 0.1;0.1 0.15;0.15 0.20;0.20 0.25;0.25 0.30;0.30 0.35;0.35 0.40;0.40 0.45;0.45 0.50]; N1 = 5; for ind = 1:10 Wn = W(ind,:); [B,A] = butter(N1,Wn); ts_f(ind,:) = filter(B,A,ts); end for ind=1:10 imag_test1{ind}(i,j) =sum((ts_f(ind,:)./mean(ts_f(ind,:))).^2); end end end for i=1:10 temp_imag = imag_test1{i}(:,:); x=isnan(temp_imag); temp_imag(x)=0; temp_imag=medfilt2(temp_imag); t_max = max(max(temp_imag)); t_min = min(min(temp_imag)); temp_imag = (temp_imag-t_min).*(double(new_max-new_min)/double(t_max-t_min))+double(new_min); imag_test2{i}(:,:) = temp_imag; end for i=1:10 A=imag_test2{i}(:,:); B=A/max(max(A)); B=histeq(B); figure,imshow(B) colorbar end but I am not getting the same result as paper. has anybody has aby idea why? or where I have gone wrong? Refrence Link to the paper

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  • Fuzzy Regex, Text Processing, Lexical Analysis?

    - by justinzane
    I'm not quite sure what terminology to search for, so my title is funky... Here is the workflow I've got: Semi-structured documents are scanned to file. The files are OCR'd to text. The text is parsed into Python objects The objects are serialized (to SQL, JSON, whatever) for use. The documents are structures like this: HEADER blah blah, Page ### blah Garbage text... 1. Question Text... continued until now. A. Choice text... adsadsf. B. Another Choice... 2. Another Question... I need to extract the questions and choices. The problem is that, because the text is OCR output, there are occasional strange substitutions like '2' - 'Z' which makes ordinary regular expressions useless. I've tried the Levenshtein module and it helps, but it requires prior knowledge of what edit distance is to be expected. I don't know whether I'm looking to create a parser? a lexer? something else? This has lead me down all kinds of interesting but nonrelevant paths. Guidance would be greatly appreciated. Oh, also, the text is generally from specific technical domains, so general spelling tools are not so helpful. Regarding the structure of the documents, there is no clear visual pattern -- like line breaks or indentation -- with the exception of the fact that "questions" usually begin a line. Crap on the document can cause characters to appear before the actual beginning of the line, which means that something along the lines of r'^[0-9]+' does not reliably work. Though the "questions" always begin with an int, a period and a space; the OCR can substitute other characters or skip characters. This is not so much a problem with Tesseract or Cunieform, rather with the poor quality of the paper documents. # Note: for the project in question, it was decided that having a human prep the OCR'd text was better that spending the time coding a solution. I'd still love good pointers, however.

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  • Monthly Payment Processing

    - by jack
    I am building site for a client in .NET. The site has a monthly subscription service, wherein customer pay for the services with debit/credit card details. Money will be deducted from the account regularly. Customers can cancel the subscription service at any time and the collection should be stopped. Is there any service that I can use to accomplish this? Any information on how to go about developing this will be much appreciated. Thanks in advance.

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  • Image processing with barehands-ruby

    - by Erik Escobedo
    I want to know how to open and manipulate a simple image file in Ruby language. I don't need to do any advanced stuff, just things like open(), get_pixel() and put_pixel() and I don't wanna use any gem for doing that, but just to know the barehands-ruby way.

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  • video processing with opencv

    - by mithila
    i'm trying to detect car in a video file.i can do background subtraction and the moving cars are visible as foreground object. but i can't draw rectangle around the car. how can i do it? or how can i say in a particular area of the frame there is a car/or there is no car now.please help.

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  • Send post request from client to node.js

    - by Husar
    In order to learn node.js I have built a very simple guestbook app. There is basically just a comment form and a list of previous comments. Currently the app is client side only and the items are stored within local storage. What I want to do is send the items to node where I will save them using Mongo DB. The problem is I have not yet found a way to establish a connection to send data back and forth the client and node.js using POST requests. What I do now is add listeners to the request and wait for data I send: request.addListener('data', function(chunk) { console.log("Received POST data chunk '"+ chunk + "'."); }); On the client side I send the data using a simple AJAX request: $.ajax({ url: '/', type: 'post', dataType: 'json', data: 'test' }) This does not work at all in them moment. It could be that I don't know what url to place in the AJAX request 'url' parameter. Or the whole thing might just be the build using the wrong approach. I have also tried implementing the method described here, but also with no success. It would really help if anyone can share some tips on how to make this work (sending POST request from the client side to node and back) or share any good tutorials. thanks.

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  • Python Post Upload JPEG to Server?

    - by iJames
    It seems like this answer has been provided a bunch of times but in all of it, I'm still getting errors from the server and I'm sure it has to do with my code. I've tried HTTP, and HTTPConnection from httplib and both create quite different terminal outputs in terms of formatting/encoding so I'm not sure where the problem lies. Does anything stand out here? Or is there just a better way? Pieced together from an ancient article because I really needed to understand the basis of creating the post: http://code.activestate.com/recipes/146306-http-client-to-post-using-multipartform-data/ Note, the jpeg is supposed to be "unformatted". The pseudocode: boundary = "somerandomsetofchars" BOUNDARY = '--' + boundary CRLF = '\r\n' fields = [('aspecialkey','thevalueofthekey')] files = [('Image.Data','mypicture.jpg','/users/home/me/mypicture.jpg')] bodylines = [] for (key, value) in fields: bodylines.append(BOUNDARY) bodylines.append('Content-Disposition: form-data; name="%s"' % key) bodylines.append('') bodylines.append(value) for (key, filename, fileloc) in files: bodylines.append(BOUNDARY) bodylines.append('Content-Disposition: form-data; name="%s"; filename="%s"' % (key, filename)) bodylines.append('Content-Type: %s' % self.get_content_type(fileloc)) bodylines.append('') bodylines.append(open(fileloc,'r').read()) bodylines.append(BOUNDARY + '--') bodylines.append('') #print bodylines content_type = 'multipart/form-data; boundary=%s' % BOUNDARY body = CRLF.join(bodylines) #conn = httplib.HTTP("www.ahost.com") # In both this and below, the file part was garbling the rest of the body?!? conn = httplib.HTTPConnection("www.ahost.com") conn.putrequest('POST', "/myuploadlocation/uploadimage") headers = { 'content-length': str(len(body)), 'Content-Type' : content_type, 'User-Agent' : 'myagent' } for headerkey in headers: conn.putheader(headerkey, headers[headerkey]) conn.endheaders() conn.send(body) response = conn.getresponse() result = response.read() responseheaders = response.getheaders() It's interesting in that the real code I've implemented seems to work and is getting back valid responses, but the problem it it's telling me that it can't find the image data. Maybe this is particular to the server, but I'm just trying to rule out that I'm not doing some thing exceptionally stupid here. Or perhaps there's other methodologies for doing this more efficiently. I've not tried poster yet because I want to make sure I'm formatting the POST correctly first. I figure I can upgrade to poster after it's working yes?

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  • image processing toolbox in matlab

    - by yasuhiro89
    I've got a specific question and a related more general one... Why does imextendedmax() not give for example 9 in A(3,3) as a max? Generally... what is the best way for finding multiple maxes/peaks? The nice thing about imextended max is it allows a threshold where presumably everything under that threshold is not counted whereas imregionalmax and findpeaks are more general, less effective. A=round(rand(5)*10) A = 1 5 4 8 3 5 1 8 8 3 9 3 9 1 2 9 7 3 5 9 6 3 5 6 8 B=imextendedmax(A,8) B = 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

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  • MATLAB image processing HELP!

    - by beho86
    Hello, I am trying to find the area of some regions on an image. http://img821.imageshack.us/img821/7541/cell1.jpg For example, I want find the area of the dark-large region on the upper left side. and I want to find the area of any of the closed geometry from the image. How can I do that in matlab. I looked online and I tried regionprops(), but it didn't identify the different regions.

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  • How to read pixel values of a video?

    - by vikramtheone
    Hi Guys, I recently wrote C programs for image processing of BMP images, I had to read the pixel values and process them, it was very simple I followed the BMP header contents and I could get most of the information of the BMP image. Now the challenge is to process videos (Frame by Frame), how can I do it? How will I be able to read the headers of continuous streams of image frames in a video clip? Or else, is it like, for example, the mpeg format will also have universal header, upon reading which I can get the information about the entire video and after the header, all the data are only pixels. I hope I could convey. Has anyone got experience with processing videos? Any books or links to tutorials will be very helpful. Vikram

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  • Getting text from image on ios (image processing)

    - by Vikram.exe
    Hi, I am thinking of making an application that requires extracting TEXT from an image. I haven't done any thing similar and I don't want to implement the whole stuff on my own. Is there any known library or open source code (supported for ios, objective-C) which can help me in extracting the text from the image. A basic source code will also do (I will try to modify it as per my need). Kindly let me know if some one has any idea on this. Thanks, Vikram

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  • Beagleboard: How do I send/receive data to/from the DSP?

    - by snakile
    I have a beagleboard with TMS320C64x+ DSP. I'm working on an image processing beagleboard application. Here's how it's going to work: The ARM reads an image from a file and put the image in a 2D array. The arm sends the matrix to the DSP. The DSP receives the matrix. The DSP performs the image processing algorithm on the received matrix (the algorithm code uses about 5MB of dynamically allocated memory). The DSP sends the processed image (matrix) to the ARM. The arm received the matrix. The arm saved the processed image to a file. I'v already written the code for steps 1,3,5. What is the easiest way to do steps 3+4 (sending the data)? Code examples are welcome.

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  • multi-core processing in R on windows XP - via doMC and foreach

    - by Jan
    Hi guys, I'm posting this question to ask for advice on how to optimize the use of multiple processors from R on a Windows XP machine. At the moment I'm creating 4 scripts (each script with e.g. for (i in 1:100) and (i in 101:200), etc) which I run in 4 different R sessions at the same time. This seems to use all the available cpu. I however would like to do this a bit more efficient. One solution could be to use the "doMC" and the "foreach" package but this is not possible in R on a Windows machine. e.g. library("foreach") library("strucchange") library("doMC") # would this be possible on a windows machine? registerDoMC(2) # for a computer with two cores (processors) ## Nile data with one breakpoint: the annual flows drop in 1898 ## because the first Ashwan dam was built data("Nile") plot(Nile) ## F statistics indicate one breakpoint fs.nile <- Fstats(Nile ~ 1) plot(fs.nile) breakpoints(fs.nile) # , hpc = "foreach" --> It would be great to test this. lines(breakpoints(fs.nile)) Any solutions or advice? Thanks, Jan

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  • Parallel processing via multithreading in Java

    - by Robz
    There are certain algorithms whose running time can decrease significantly when one divides up a task and gets each part done in parallel. One of these algorithms is merge sort, where a list is divided into infinitesimally smaller parts and then recombined in a sorted order. I decided to do an experiment to test whether or not I could I increase the speed of this sort by using multiple threads. I am running the following functions in Java on a Quad-Core Dell with Windows Vista. One function (the control case) is simply recursive: // x is an array of N elements in random order public int[] mergeSort(int[] x) { if (x.length == 1) return x; // Dividing the array in half int[] a = new int[x.length/2]; int[] b = new int[x.length/2+((x.length%2 == 1)?1:0)]; for(int i = 0; i < x.length/2; i++) a[i] = x[i]; for(int i = 0; i < x.length/2+((x.length%2 == 1)?1:0); i++) b[i] = x[i+x.length/2]; // Sending them off to continue being divided mergeSort(a); mergeSort(b); // Recombining the two arrays int ia = 0, ib = 0, i = 0; while(ia != a.length || ib != b.length) { if (ia == a.length) { x[i] = b[ib]; ib++; } else if (ib == b.length) { x[i] = a[ia]; ia++; } else if (a[ia] < b[ib]) { x[i] = a[ia]; ia++; } else { x[i] = b[ib]; ib++; } i++; } return x; } The other is in the 'run' function of a class that extends thread, and recursively creates two new threads each time it is called: public class Merger extends Thread { int[] x; boolean finished; public Merger(int[] x) { this.x = x; } public void run() { if (x.length == 1) { finished = true; return; } // Divide the array in half int[] a = new int[x.length/2]; int[] b = new int[x.length/2+((x.length%2 == 1)?1:0)]; for(int i = 0; i < x.length/2; i++) a[i] = x[i]; for(int i = 0; i < x.length/2+((x.length%2 == 1)?1:0); i++) b[i] = x[i+x.length/2]; // Begin two threads to continue to divide the array Merger ma = new Merger(a); ma.run(); Merger mb = new Merger(b); mb.run(); // Wait for the two other threads to finish while(!ma.finished || !mb.finished) ; // Recombine the two arrays int ia = 0, ib = 0, i = 0; while(ia != a.length || ib != b.length) { if (ia == a.length) { x[i] = b[ib]; ib++; } else if (ib == b.length) { x[i] = a[ia]; ia++; } else if (a[ia] < b[ib]) { x[i] = a[ia]; ia++; } else { x[i] = b[ib]; ib++; } i++; } finished = true; } } It turns out that function that does not use multithreading actually runs faster. Why? Does the operating system and the java virtual machine not "communicate" effectively enough to place the different threads on different cores? Or am I missing something obvious?

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  • matrix image processing in OpenGL CE

    - by iHorse
    im trying to create an image filter in OpenGL CE. currently I am trying to create a series of 4x4 matrices and multiply them together. then use glColorMask and glColor4f to adjust the image accordingly. I've been able to integrate hue rotation, saturation, and brightness. but i am having trouble adding contrast. thus far google hasn't been to helpful. I've found a few matrices but they don't seem to work. do you guys have any ideas?

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