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شبیه سازی افزایش توان عملیاتی پروتکل چند جهشی در شبکه بیسیم بدن با MATLAB
پیاده سازی مقاله SIMPLE: Stable Increased-throughput Multi-hop Protocol for Link Efficiency in Wireless Body Area Networks
در این پست پروژه شبیه سازی افزایش توان عملیاتی پروتکل چند جهشی برای بهره وری لینک در شبکه بیسیم بدن...
www.noavarangermi.ir/%d8%a7%d9%81%d8%b2%d8%a7%db%8c%d8%b4...
Swedish Ambassador to Bangladesh H E Charlotta Schlyter, Ms Carin Zetterlund, First Secretary/Deputy Head of Development Section and Ms Lena Nordström, Head of Staff MoFA visited icddr,b’s Matlab field site - one of the developing world’s richest, most comprehensive and longest-running data resources.
The guests visited icddr,b health and demographic data collection facilities, ongoing studies in the villages, the Matlab hospital, especially providing services for women and children and a mother care unit.
The guests also took a boat ride to Matlab, using the same route once taken by hundreds of thousands of cholera patients from remote areas to reach icddr,b’s floating hospital on a barge, which now remains parked at Matlab, bearing witness to the history of humanitarian efforts. Photos: Rabiul Hasan / icddr,b
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El jueves 17 de octubre, de 10 a 13.30 horas, en la Escuela de Ingeniería de Telecomunicación y Electrónica de la ULPGC, se va a celebrar un Seminario de Matlab, a cargo de Loren Shure, coautora de varios productos de MathWorks donde ha trabajado en los últimos 30 años.
Más información: www.ulpgc.es/noticia/seminario-matlab-cargo-loren-shure-c...
matlab-recognition-code.com/one-to-one-iris-recognition-s...
Abstract
Biometrics is likely one of the most necessary and dependable strategies for pc-aided private identification. It has a variety of purposes, in authorities packages akin to nationwide ID playing cards, use in visas and visa processing, and within the warfare towards terrorism, in addition to having private purposes in areas resembling logical and bodily entry management. Iris recognition is probably the most correct private identification biometric and it’s this that accounts for its use in id administration in authorities departments requiring excessive safety.
Keyword: Matlab, supply, code, iris, recognition, one to at least one, one to many, verification, identification, matching.
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summer training institute for engineering students in Lucknow on JAVA, Embedded System, .NET, MATLAB. PLC SCADA, Industrial Automation, VLSI Design, CATIA, ANSYS, AutoCAD, Solidworks, Staad Pro at iNext Technology
Cows are tethered only yards from a large pond used for bathing, washing utensils and clothes in rural Matlab. When animals live so close to ponds and waterways their faeces is often washed into these unprotected water sources and leads to contamination.
Photo: Guy Collender
Date: 2011
Working towards arbitrarily high precision structured light scanning. Plots are with 4, 8, 16, and 32 bins.
Why does the spectral center (weighted average bin) "hum" as you do a frequency sweep?
Update: it "hums" because the spectral center is one of the worst ways to do frequency estimation! web.archive.org/web/20071011064215/http://home.comcast.ne...
w = 512;
timeSteps = 64;
img = repmat(1:w, timeSteps, 1) / w;
img = img .* repmat((1:timeSteps)', 1, w);
img = cos(img * pi);
subplot(1, 3, 1);
image(img * 256);
xlabel('Position');
ylabel('Time');
colormap(gray(256));
axis square;
fftOut = fft(img);
goodBins = (timeSteps / 2) + 1;
amplitude = abs(fftOut((1:goodBins), :)) / timeSteps;
subplot(1, 3, 2);
image(amplitude * 256);
axis square;
xlabel('Position');
ylabel('FFT bin amplitude');
weightedSum = sum(repmat((1:goodBins)', 1, w) .* amplitude);
weightedAverage = weightedSum ./ (sum(amplitude) * timeSteps / 2);
subplot(1, 3, 3);
plot(weightedAverage);
axis square;
axis tight;
xlabel('Position');
ylabel('Spectral Center');
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The murray polygon space-filling curve.
The altitude and colour of points in the rectangle denotes the order in which they are plotted.
SONY A580 broadband
DT 3.5-5.6/18-55 SAM II; 18mm @ f/11
Tiffen Yellow 15 filter
Single image IRG composition with Matlab
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Loxodrome generated in MATLAB and rendered in Sunflow. Sharp caustics obtained with point light source.
A man bathes in a river next to a small houseboat in rural Matlab, Bangladesh. This water is contaminated by faeces from the human and animal populations living on the banks of the river.
Photo: Guy Collender
Date: 2011
Handpicked corresponding points (circa 25) , matlab improved/corrected the coordinates of the points. Then calculated the T matrix and stitched.
matlab-recognition-code.com/high-performance-iris-recogni...
Abstract
Pattern recognition strategies might be categorized into semantic and nonsemantic approaches. The use of the Karhunen-Loeve Transform (KLT) for object recognition and, particularly, face recognition, are examples of nonsemantic methods. The benefit of such strategies arises from the automated era of appropriate function vectors by the KLT. Advanced function extraction methods discover in depth use within the more and more essential area of biometric id authentication. As safety turns into a problem of significance, biometrics and iris recognition particularly are attracting nice curiosity. The human iris, a skinny round diaphragm mendacity between the cornea and the lens, has an intricate construction with many minute traits reminiscent of furrows, freckles, crypts, and coronas. For each topic, these traits are distinctive because of the person variations that come up within the improvement of anatomical buildings throughout embryonic improvement. Apart from common textural look and shade, the finely detailed construction of an iris isn’t genetically decided however develops by a random course of. The iris patterns of the 2 eyes of a person or these of similar twins are utterly unbiased and uncorrelated. Additionally, the iris is very secure over an individual’s lifetime and lends itself to noninvasive identification as a result of it’s an externally seen inner organ. Pioneering work on iris recognition was carried out by Daugman utilizing Gabor wavelets.
We have developed a way for iris matching utilizing zero crossings of a Discrete Cosine Transform (DCT) as a way of function extraction for later classification. The DCT of a collection of averaged overlapping patches are taken from normalized iris pictures and a small subset of coefficients is used to type subfeature vectors. Iris codes are generated as a sequence of many such subfeatures, and classification is carried out utilizing a weighted Hamming distance metric.
We have in contrast our outcomes with a publicly out there system for iris recognition developed by Libor Masek and Peter Kovesi out there here. Our code has been examined with CASIA Iris Database attaining a superb recognition fee of ninety eight.843% (108 courses, A coaching pictures and A check photographs for every class, therefore there are 324 coaching pictures and 432 check photographs with no overlap between the coaching and check photographs). On the identical coaching and testing set Libor Masek’s algorithm can attain a recognition price of ninety seven.917%.
Libor Masek, Peter Kovesi. MATLAB Source Code for a Biometric Identification System Based on Iris Patterns. The School of Computer Science and Software Engineering, The University of Western Australia, 2003.
Keyword: Matlab, supply, code, iris, recognition, dct, discrete cosine rework, Karhunen-Loeve Transform, KLT.
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matlab-recognition-code.com/handwriting-recognition-for-i...
Abstract
Optical character recognition (OCR) is the interpretation of optically scanned bitmaps of printed or written textual content characters into character codes, akin to ASCII. This is an environment friendly option to flip exhausting-copy supplies into knowledge information that may be edited and in any other case manipulated on a pc. This is the know-how lengthy utilized by libraries and authorities businesses to make prolonged paperwork shortly obtainable electronically. Advances in OCR know-how have spurred its growing use by enterprises. For many doc-enter duties, OCR is probably the most value-efficient and speedy technique out there. And annually, the know-how frees acres of space for storing as soon as given over to file cupboards and bins filled with paper paperwork. Before OCR can be utilized, the supply materials have to be scanned utilizing an optical scanner (and typically a specialised circuit board within the PC) to learn within the web page as a bitmap (a sample of dots). Software to acknowledge the pictures can also be required.
The OCR software program then processes these scans to distinguish between pictures and textual content and decide what letters are represented within the mild and darkish areas. Older OCR methods match these photographs towards saved bitmaps based mostly on particular fonts. The hit-or-miss outcomes of such sample-recognition methods helped set up OCR’s fame for inaccuracy. Today’s OCR engines add the a number of algorithms of neural community know-how to research the stroke edge, the road of discontinuity between the textual content characters, and the background. Allowing for irregularities of printed ink on paper, every algorithm averages the sunshine and darkish alongside the aspect of a stroke, matches it to recognized characters and makes a greatest guess as to which character it’s. The OCR software program then averages or polls the outcomes from all of the algorithms to acquire a single studying.
Our software program package deal proposes to unravel the classification of remoted handwritten characters and digits of the UJI Pen Characters Data Set utilizing Neural Networks. The knowledge consists of samples of 26 characters and 10 digits written by eleven writers on a pill PC. The characters (in normal UNIPEN format) are written each in higher and decrease case and there’s a entire two set of characters per author. So the output ought to be in one of many 35 courses. The final goal is constructing a author unbiased mannequin for every character.
The number of worthwhile options is essential in character recognition, subsequently a brand new and significant set of options, the Uniform Differential Normalized Coordinates (UDNC), launched by A. Agell, is adopted. These options are proven to enhance the popularity price utilizing easy classification algorithms so they’re used to coach a Neural Network and check its efficiency on UJI Pen Characters Data Set.
Keyword: Matlab, supply, code, ocr, optical character recognition, scanned textual content, written textual content, ascii, remoted character.
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... for some friends who asked what i'v been up to these days ... this is what i'v been working at :)
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Scherk's surface is defined by exp(z)cos(x)-cos(y)=0. If z is treated as a complex number rather than a real and multiplied by exp(it) the solution to Re(exp(z)cos(x)-cos(y))=0 performs this curious dance act. The color denotes the imaginary part.
This set works nicely as a slideshow.
Rendered in Matlab using isosurfaces.