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How to choose a thesis topic
 
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How to choose a thesis topic. Free ebook http://tinyurl.com/EngMathYT Choosing a thesis topic is really important. You want to get the right mix of ideas that matches your skills, interests and timeframe.
Views: 125152 Dr Chris Tisdell
How to Read a Research Paper
 
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Ever wondered how I consume research so fast? I'm going to describe the process i use to read lots of machine learning research papers fast and efficiently. It's basically a 3-pass approach, i'll go over the details and show you the extra resources I use to learn these advanced topics. You don't have to be a PhD, anyone can read research papers. It just takes practice and patience. Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval More learning resources: http://www.arxiv-sanity.com/ https://www.reddit.com/r/MachineLearning/ https://www.elsevier.com/connect/infographic-how-to-read-a-scientific-paper https://www.quora.com/How-do-I-start-reading-research-papers-on-Machine-Learning https://www.reddit.com/r/MachineLearning/comments/6rj9r4/d_how_do_you_read_mathheavy_machine_learning/ https://machinelearningmastery.com/how-to-research-a-machine-learning-algorithm/ http://www.sciencemag.org/careers/2016/03/how-seriously-read-scientific-paper Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 193492 Siraj Raval
Enhanced RSA Cryptography Projects | Enhanced RSA Cryptography Thesis
 
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Contact Best Network Simulation tools https://networksimulationtools.com/ns2-projects/
Secret Key Exchange (Diffie-Hellman) - Computerphile
 
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How do we exchange a secret key in the clear? Spoiler: We don't - Dr Mike Pound shows us exactly what happens. Mathematics bit: https://youtu.be/Yjrfm_oRO0w Computing Limit: https://youtu.be/jv2H9fp9dT8 https://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: https://bit.ly/nottscomputer Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com
Views: 204933 Computerphile
How to Prepare Research Paper for Publication in MS Word (Easy)
 
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Views: 13959 MJ Tube
PHD RESEARCH TOPIC IN VISUAL CRYPTOGRAPHY
 
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Contact Best Phd Projects Visit us: http://www.phdprojects.org/ http://www.phdprojects.org/phd-research-topic-green-network/
Views: 185 PHD Projects
Network Security Projects with Source Code | Network Security Thesis with Source Code
 
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Contact Best NS2 simulator Projects Visit us: http://ns2simulator.com/
Applied Cryptography Project -2
 
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Source Code - https://github.com/rakeshsukla53/secure-message Documentation - https://github.com/rakeshsukla53/secure-message#secure-message-transfer
Views: 670 Rakesh Sukla
Image Encryption using Elliptic Curve Cryptography in MATLAB
 
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This video demonstrate the process of image encryption using elliptical curve cryptography. The complete code for it is available at https://free-thesis.com/product/image-encryption-decryption-using-ecc/. This is the code which simulates the encryption and decryption of an image using random and private keys in MATLAB. The elliptic curve cryptography is applied to achieve the security of any image before transmitting it to some one so that no other can see the data hidden in the image. At the receiver end the destined user will already have the decryption key used for this. If key is altered, image will not be decrypted.
CRYPTOGRAPHY PROJECTS FOR STUDENTS IN SOUTH AUSTRALIA
 
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DOTNET PROJECTS,2013 DOTNET PROJECTS,IEEE 2013 PROJECTS,2013 IEEE PROJECTS,IT PROJECTS,ACADEMIC PROJECTS,ENGINEERING PROJECTS,CS PROJECTS,JAVA PROJECTS,APPLICATION PROJECTS,PROJECTS IN MADURAI,M.E PROJECTS,M.TECH PROJECTS,MCA PROJECTS,B.E PROJECTS,IEEE PROJECTS AT MADURAI,IEEE PROJECTS AT CHENNAI,IEEE PROJECTS AT COIMBATORE,PROJECT CENTER AT MADURAI,PROJECT CENTER AT CHENNAI,PROJECT CENTER AT COIMBATORE,BULK IEEE PROJECTS,REAL TIME PROJECTS,RESEARCH AND DEVELOPMENT,INPLANT TRAINING PROJECTS,STIPEND PROJECTS,INDUSTRIAL PROJECTS,MATLAB PROJECTS,JAVA PROJECTS,NS2 PROJECTS, Ph.D WORK,JOURNAL PUBLICATION, M.Phil PROJECTS,THESIS WORK,THESIS WORK FOR CS
Views: 10 ranjith kumar
Daniel Helman   Dissertation Research Video   Intro
 
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Transcript: I'm Daniel Helman, a doctoral student at Prescott College. I've been asked to say a little bit about what I study and where my doctoral research is going. The world we inhabit looks to the future. We hope and dream—for peace—for success in fighting climate change—for women's rights to be realized more strongly. We live in a forward-thinking world, one in which anything is possible. For example, we will find living organisms on other planets, and that is likely. Already the building blocks of life are present in volcanic fumaroles on the Moon and Mars. For example, we will invent living machines, and that is likely. Already humans who are paralyzed use a computer relay to help the brain communicate with the body. Think about that. We will be living in a new world, a world where moral questions will need a stronger philosophical basis. In both of these examples, extraterrestrial and human, we know what we mean by “living organism.” We have clear ideas. And scientists, even, have clear ideas. Unfortunately, there is no official definition for life. There is no International Commission for the Verification of Life to house such a definition. Even though you know what living means, and others do as well, these are all ad hoc definitions. That's my dissertation work. I aim to survey various astrobiologists, planetary scientists and computer scientists to see what their ideas are—what they conceive of as a definition for life. And, in so doing, I hope to encourage them to go to an academic society that they belong to—whether in the natural or computational sciences—and actually propose that that society curate an official definition for life. For myself, I'm attending conferences on this topic and am working on my professional skills. I'll be developing a questionnaire and a follow up. I'll be networking and helping others develop their own ideas. And I'll be looking into the larger implications. Where does consciousness come from in systems? What kinds of things can be coded and copied in non-living systems and yet have them remain non-living? What are the results of taking physical reality as a source of raw materials to consume and what does science have to say about this? Thank you very much. Note: This video is intended primarily for my (potential) PhD Committee and fellow classmates, but it is suitable for the general public.
Artificial Intelligence | Research and Which Majors to Pick
 
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Part 2: https://www.youtube.com/watch?v=Fh_OIk2ex_A This video covers artificial intelligence, research being done in the field, what major to pick to get started, and a more detailed description on how machine learning works. Artificial intelligence is an increasingly fast growing field with more and more innovations coming up all the time. You can see artificial intelligence being used in finance, gaming, healthcare, self driving cars, email spam filtering, and much more. One of the big fields of artificial intelligence is machine learning. Machine learning is making software that is able to learn from past experiences. One example of this is AlphaGo which is an A.I. project made by deepmind that was able to beat the best go player in the world, in a game of go. AlphaGo wasn't programmed with strategies though, it was just programmed to learn. Deep learning is often done through the use of neural networks which I talk about in this video using a simple example. *************************************************** ► For more information on math, science, and engineering majors, check us out at https://majorprep.com *************************************************** ► Patreon: https://patreon.com/majorprep ► PayPal: https://www.paypal.me/majorprep ► Facebook: https://facebook.com/majorprep
Views: 37568 MajorPrep
Moni Naor:Cryptography and Data Structures: A Match Made in Heaven
 
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Moni Naor, Weizmann Institute, "Cryptography and Data Structures: A Match Made in Heaven", in The Sixth Israel CS Theory Day , 13/3/2013
Views: 471 The Open University
Homomorphic encryption Presentation
 
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Presentation regarding a Masters thesis on Homomorphic encryption and applications. Please refer to https://qdm12.github.io/hbc/ for more information
Views: 1560 Quentin McGaw
Cryptography keys exchange for IEEE 802.15.4  using NFC in RIOT
 
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Thesis project. This video show the keyexc API testing.
Views: 68 Francesco Ermini
Encryption of playfair cipher text with example | information security
 
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in this video we will learn about how to encrypt cipher text using encryption key with solved example
Views: 31 jetrocks italiya
Jose Ortega - Python Security & Cryptography
 
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Jose Ortega - Python Security & Cryptography [EuroPython 2015] [22 July 2015] [Bilbao, Euskadi, Spain] The talk would aim to introduce cryptography and security from the developer point of view, showing ways to encrypt information with Python scripts and more sensitive information in web applications using django. I will introduce to security in python ,showing some libraries that allow encryption and decryption like PyCrypto or M2Crypto,comparing theses libraries with the cryptography module.At the same time,I will show the main ciphers and hashing algorithms used in these libraries like AES,DES,RSA and some examples illustrating each case.I wil show other techniques like steganography for hiding information in files(images,documents,programs) with some libraries like Stepic or ezPyCrypto. Finally,I will comment OWASP Python Security Project where we can find some useful practices and secure coding guidelines for detecting potential security vulnerabilities in our applications like SQL injection or Cross-site scripting. **Slides** [https://speakerdeck.com/jmortega/python-cryptography-and-security][1] [1]: https://speakerdeck.com/jmortega/python-cryptography-and-security
How to give the BEST PowerPoint presentation!
 
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A bad PowerPoint presentation can be confusing, annoying, and boring. In this video, I'll give you my best tips for using PowerPoint in your presentations, whether they are for work or school. I'll talk about what makes a good presentation and what can ruin your presentation. You'll also learn how to use fonts, templates, and color to improve your slides. Do you know how much information to put on each slide? I'll answer that question and many more in this tutorial on using PowerPoint! Take a quiz on this video at http://www.engvid.com/how-to-give-the-best-powerpoint-presentation/ For more free presentation help, including advice for English learners gving presentations in English, go to http://www.presentationprep.com/ TRANSCRIPT Do you have to make presentations? Do you hate presentations? I like presentations, but one thing that you are probably maybe good at with presentations are making PowerPoint presentations, because you have visual aids to help you so you don't really have to talk as much, if you're nervous about talking. Presentation skills is something that you can work on. We have videos on www.engvid.com to help you with presentation skills. So, go and check those out for learning how to speak during presentations. But what we're going to focus on today is the visual aspect of presentations, so your PowerPoint things. Some things to do, and some things not to do. So, here we are, presentation skills. The first thing and one of the things that makes these presentations so fun are pictures. But we have to be careful. The templates that you have already included in your presentation software, they're boring. People use them all the time. So, I suggest you try and download some other pictures to make your presentation more interesting. And with that, make sure that on one slide you have one image. Make it interesting. Do not have a split screen. So, don't have two images on one slide. Do not have a collage, that's insane. A collage is many different small pictures on one screen. Even when I see a collage, there's a lot of collages coming out on Facebook now, and I'm like: "Too many pictures. Can't understand." Our brains just cannot comprehend all those pictures, especially when you're having the slide up for a short period of time. Don't make it like a photo album. Don't put millions and seven pictures, and... Keep it simple. Put a single image on each slide. Try and pick images that you actually like, and not too distracting. You don't want puppy dogs and things. Make something simple, but something that you like, and make sure it looks nice. The next one you have to worry about is the lettering. So, the lettering, you also might know this as the font. So, font and lettering are the same. One thing that you do not want to do is have really fancy or beautiful lettering. Simply... The reason is some people can't read when the letters are fancy, especially if you are doing presentations for people whose... Do not have English as their first language, if you take the letters and you write them even cursive, a lot of people have problems reading cursive. So, I suggest you use something more traditional. There's lots of very easy-to-read fonts you can get from your... Whatever word processing you use. So, make it simple, easy to read. Another problem that you might have is the script is too big or too small. So remember that when you're making your presentation, you're doing it probably on your laptop, or your desktop, or your iPad, or your phone, so the font or the lettering is going to be different than when you put it up on the projector. So if at all possible if you can, check it out before you do the presentation. Look at your... Hook up your laptop or whatever, and see if you can actually see it on the screen because the font is different. You might think that on your laptop it's a good size, but when it gets on the projection screen, it's tiny; or it takes up too much space and it's too big. Next up are the words or the text. So, there's been studies done on how many lines of text a human can absorb or understand, and any more than six, you've lost the people. So, try and keep on each slide one very simple image, with very traditional clear text, and put only two or three lines on each slide. Don't put bullet points. If you have more than six lines or if you have bullet points, again, we just... We just can't remember them all. We just lose focus. We have something called too much information, too much info, TMI. "Too much information" means that if you have more than two or three lines, we're just not getting it. Our brain can't... We just can't learn it like you want us to.
NETWORK SECURITY RESEARCH TOPICS
 
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Contact Best Phd Projects Visit us: http://www.phdprojects.org/ http://www.phdprojects.org/phd-research-topic-in-iot-internet-of-things/
Views: 5522 PHD Projects
CLOUD DATA SECURITY CLOUDSIM PROJECTS
 
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Views: 1297 PHD Projects
Transpose Code Example Part1 - Intro to Parallel Programming
 
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This video is part of an online course, Intro to Parallel Programming. Check out the course here: https://www.udacity.com/course/cs344.
Views: 2266 Udacity
Elgamal Encryption (Theory and Concepts)
 
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- A brief introduction to Elgamel Encryption - Explaining Diffie-Hellman Key Exchange - no details calculations
Views: 5158 hihi chew
Hardware/Software Co-Design for Embedded Vision Systems
 
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3 Minute Thesis competition: Andrew Chen (Engineering), doctoral finalist
Information Theory part 11: Claude Shannon: A Mathematical Theory of Communication
 
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Claude Shannon demonstrated how to generate "english looking" text using Markov chains and how this gives a satisfactory representation of the statistical structure of any message. He uses this model as a framework with which to define 'information sources' and how they should be measured. References: http://www.mast.queensu.ca/~math474/shannon1948.pdf
Views: 60010 Art of the Problem
Creating World Class Computer Science at Stanford
 
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The panelists discussed Stanford's Computer Science Department within the historical context of higher education, technological innovations, and the Silicon Valley. They talked about how it grew from the university’s administrative needs and those of science and engineering research.
Views: 7982 Stanford
Cryptography Projects | Reversible data Hiding
 
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Cryptography Projects | Reversible data Hiding Cryptography Projects helps to encrypt a plain text,key,number or a word phrase using cryptographic algorithm. Visit us:http://matlabprojects.org/image-processing-projects/ To Know More details Visit us:http://matlabprojects.org/image-proce... We Develop Best Matlab Projects based on the Following Domains Image Processing,Power Electronics,Communication systems,Simulation,Simulink,Network Security,Steganography,Cryptography,Wate­rmarking, Wireless,Signal Processing,Remote Sensing,Wireless communication,Artificial Neural Networks,Bio-Medical,Genetic Algorithm,Fuzzy Logic,Neural Networks,Renewable Energy. Visit us Matlab Projects:https://matlabprojects.org Image Processing: https://matlabprojects.org/image-proc... Artificial Networks: https://matlabprojects.org/image-proc... Bio Medical : https://matlabprojects.org/image-proc... Digital Image Processing : https://matlabprojects.org/image-proc... Fuzzy Logic :https://matlabprojects.org/image-proc... Genetic Algorithm:https://matlabprojects.org/image-proc... Power Electronics :https://matlabprojects.org/power-elec... Renewable Energy : https://matlabprojects.org/power-elec... communication system :https://matlabprojects.org/communicat... Signal Processing : https://matlabprojects.org/communicat... Wireless : https://matlabprojects.org/communicat... Wireless Communication system :https://matlabprojects.org/communicat... Remote Sensing : https://matlabprojects.org/communicat... Simulink :https://matlabprojects.org/simulink-p... Matlab Simulation :https://matlabprojects.org/simulink-p... Matlab simulink :https://matlabprojects.org/simulink-p... Security Projects :https://matlabprojects.org/security-p... Steganography :https://matlabprojects.org/security-p... Network Security :https://matlabprojects.org/security-p... Cryptography :https://matlabprojects.org/security-p... Watermarking :https://matlabprojects.org/security-p... Digital :https://matlabprojects.org/digital-pr... DSP Projects : https://matlabprojects.org/digital-pr... DIP Projects : https://matlabprojects.org/digital-pr... Matlab Thesis :https://matlabprojects.org/matlab-the... IEEE Matlab Projects : https://matlabprojects.org/ieee-proje... Subscribe us Facebook :https://www.facebook.com/pages/Matlab... Twitter :https://twitter.com/matlabproj Google+ :https://plus.google.com/+Matlabprojec... Pinterest :https://in.pinterest.com/matlabprojects/ Youtube :https://www.youtube.com/channel/UCHg2... Flickr :https://www.flickr.com/photos/1312272... Tumblr :https://www.tumblr.com/login?redirect...
Views: 1651 Matlab Projects
What is RANDOM ORACLE? What does RANDOM ORACLE mean? RANDOM ORACLE meaning & explanation
 
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What is RANDOM ORACLE? What does RANDOM ORACLE mean? RANDOM ORACLE meaning - RANDOM ORACLE definition - RANDOM ORACLE explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ In cryptography, a random oracle is an oracle (a theoretical black box) that responds to every unique query with a (truly) random response chosen uniformly from its output domain. If a query is repeated it responds the same way every time that query is submitted. Stated differently, a random oracle is a mathematical function chosen uniformly at random, that is, a function mapping each possible query to a (fixed) random response from its output domain. Random oracles as a mathematical abstraction were firstly used in rigorous cryptographic proofs in the 1993 publication by Mihir Bellare and Phillip Rogaway (1993). They are typically used when the cryptographic hash functions in the method cannot be proven to possess the mathematical properties required by the proof. A system that is proven secure when every hash function is replaced by a random oracle is described as being secure in the random oracle model, as opposed to secure in the standard model of cryptography. Random oracles are typically used as an ideal replacement for cryptographic hash functions in schemes where strong randomness assumptions are needed of the hash function's output. Such a proof generally shows that a system or a protocol is secure by showing that an attacker must require impossible behavior from the oracle, or solve some mathematical problem believed hard in order to break it. Not all uses of cryptographic hash functions require random oracles: schemes that require only one or more properties having a definition in the standard model (such as collision resistance, preimage resistance, second preimage resistance, etc.) can often be proven secure in the standard model (e.g., the Cramer–Shoup cryptosystem). Random oracles have long been considered in computational complexity theory, and many schemes have been proven secure in the random oracle model, for example Optimal Asymmetric Encryption Padding, RSA-FDH and Probabilistic Signature Scheme. In 1986, Amos Fiat and Adi Shamir showed a major application of random oracles – the removal of interaction from protocols for the creation of signatures. In 1989, Russell Impagliazzo and Steven Rudich showed the limitation of random oracles – namely that their existence alone is not sufficient for secret-key exchange. In 1993, Mihir Bellare and Phillip Rogaway were the first to advocate their use in cryptographic constructions. In their definition, the random oracle produces a bit-string of infinite length which can be truncated to the length desired. According to the Church–Turing thesis, no function computable by a finite algorithm can implement a true random oracle (which by definition requires an infinite description). In fact, certain artificial signature and encryption schemes are known which are proven secure in the random oracle model, but which are trivially insecure when any real function is substituted for the random oracle. Nonetheless, for any more natural protocol a proof of security in the random oracle model gives very strong evidence of the practical security of the protocol. In general, if a protocol is proven secure, attacks to that protocol must either be outside what was proven, or break one of the assumptions in the proof; for instance if the proof relies on the hardness of integer factorization, to break this assumption one must discover a fast integer factorization algorithm. Instead, to break the random oracle assumption, one must discover some unknown and undesirable property of the actual hash function; for good hash functions where such properties are believed unlikely, the considered protocol can be considered secure.
Views: 298 The Audiopedia
Barbara Liskov: Programming the Turing Machine
 
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Barbara Liskov, Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology, discusses "Programming the Turing Machine" in a lecture given on the occasion of Princeton University's centennial celebration of Alan Turing. Learn more at www.princeton.edu/turing #turingprinceton
Views: 10364 princetonacademics
L19: Uncomputable Functions, and Introduction to Complexity
 
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Proof by diagonalization that there are uncomputable functions; introduction to complexity theory, big-Oh notation, definition of worst-case for a non-deterministic. Turing machine; definition of the classes P and NP.
Views: 7188 UCDavis
Coding Techniques for Distributed Storage. Thesis defense
 
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Thesis defense by Bernat Gastón, Centre de Visió per Computador, dEIC, Univeritat Autònoma de Barcelona, UAB.
Thesis writing in Chandigarh| MATLAB Lecture 6
 
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M Tech Ph D Thesis work on MATLAB in chandigarh www.thesisworkchd.com THESIS WORK ON MATLAB| THESIS IN CHANDIGARH| M TECH THESIS| PHD THESIS IN CHANDIGARH Thhis is my sixth lecture on MATLAB introduction. Please like, subscribe and share my video. THESIS WORK ON MATLAB We provide thesis assistance and guidance in Chandigarh with full thesis help and readymade M.Tech thesis writing in MATLAB with full documentation in Chandigarh , Delhi, Haryana, Punjab, Jalandhar, Mohali, Panchkula, Ludiana, Amritsar and nearby area’s M.Tech. students by providing a platform for knowledge sharing between our expert team. Some of the important areas in which we provide thesis assistance presently have been listed below: BIOMEDICAL BASED PROJECTS: 1. AUTOMATIC DETECTION OF GLAUCOMA IN FUNDUS IMAGES. 2. DETECTION OF BRAIN TUMOR USING MATLAB 3. LUNG CANCER DIAGNOSIS MODEL USING BNI. 4. ELECTROCARDIOGRAM (ECG) SIMULATIONN USNG MATLAB FACE RECOGNITION: 5. FACE DETECTION USING GABOR FEATURE EXTRACTION & NEURAL NETWORK 6. FACE RECOGNITION HISTOGRAM PROCESSED GUI 7. FACE RECOGNITION USING KEKRE TRANSFORM FINGERPRINT RECOGNITION: 8. MINUTIAE BASED FINGERPRINT RECOGNITION. 9. FINGERPRINT RECOGNITION USING NEURAL NETWORK RECOGNITION/ EXTRACTION/ SEGMENTATION/WATERMARKING: 10. ENGLISH CHARACTER RECOGNITION USING NEURAL NETWORK 11. NUMBER RECOGNITION USING IMAGE PROCESSING 12. CHECK NUMBER READER USING IMAGE PROCESSING 13. DETECTION OF COLOUR OF VEHICLES. 14. SEGMENTATION & EXTRACTION OF IMAGES, TEXTS, NUMBERS, OBJECTS. 15. SHAPE RECOGNITION USING MATLAB IN THE CONTEXT OF IMAGE PROCESSING 16. RETINAL BLOOD VESSEL EXTRACTION USING MATLAB 17. RECONGITION AND LOCATING A TARGET FROM A GIVEN IMAGE. 18. PHASE BASED TEMPLATE MATCHING 19. A DETECTION OF COLOUR FROM AN INPUT IMAGE 20. CAESAR CIPHER ENCRYPTION-DECRIPTION 21. IMAGE SEGMENTATION - MULTISCALE ENERGY-BASED LEVEL SETS 22. THE IMAGE MEASUREMENT TOOL USING MATLAB 23. A DIGITAL VIDEO WATERMARKING TECHNIQUE BASED ON IDENTICAL FRAME EXTRACTION IN 3-LEVEL DWT (ALSO FOR 5-LEVEL DWT) 25. RELATED TO STEGANOGRAPHY AND CRYPTOGRAPHY 26. RELATED TO THE ALL TYPES OF WATERMARKING TECHNIQUES A. TEXT WATERMARKING B. IMAGE WATERMARKING C. VIDEO WATERMARKING D. COMBINATION OF TEXT AND IMAGE WITH KEY 27. OFFLINE SIGNATURE RECOGNITION USING NEURAL NETWORKS APPROACH 28. FRUIT RECOGNITAION RELATED PROJECTS 29. VESSEL SEGMENTATION AND TRACKING 30. PROPOSED SYSTEM FOR DATA HIDING USING CRYPTOGRAPHY AND STEGANOGRAPHY 31. BASED ON IMAGE COMPRESSION ALGORITHM USING DIFFERENT TECHNIQUES 32. GRAYSCALE IMAGE DIGITAL WATERMARKING TECHNOLOGY BASED ON WAVELET ANALYSIS 33. CONTENT-BASED IMAGE RETRIEVAL 34. IMAGE PROCESSING BASED INTELLIGENT TRAFFIC CONTROLLER 35. MORPHOLOGY APPROACH IN IMAGE PROCESSING And many more
Views: 46 Pushpraj Kaushik
CS391:Encryption Playfair Cipher & Rail fence
 
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To encrypt a message can use the encryption (Playfair Cipher) or encryption (Rail fence), this two way some students they study it in network security so he will search for a video, paper or book to understand way quick and clear . we do video in araibc to expline this tow methods by easy and quick way.
Views: 84 CS391
Privacy Coins: Monero, Zcash, Zclassic & Ethereum(zk-SNARKs)
 
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Thinking about purchasing a Ledger Nano Hardware Wallet? Browse their official website: https://www.ledgerwallet.com/r/67ef Want to join coinbase to begin your crypto journey? Here’s a link to get free $10: https://www.coinbase.com/join/558828dc34383271a500003b Find me on Steemit: www.steemit.com/@heiditravels Twitter: @blockchainchick Instagram: @hheidiann If you’re looking for an app that tracks the price of BTC & ETH and many other coins, check out the CoinView App: https://play.google.com/store/apps/details?id=br.com.freeflowt.coinview Donation Addresses: Bitcoin (BTC): 16gwMprXw5ss8Nk23CU8Jc6XtVf7KYF621 Ethereum (ETH): 0xac5223209791820b4c37f6f6b4b5d249d25d55ac Dash: XuvS5TzRSRGbNZM2va9KXYxF6QBqQ4tVQp LINKS FOR ADDITIONAL READING FOR THIS VIDEO & ALL INFO IN TEXT DOWN BELOW Here are some popular coins that hold privacy in high regard: First we have monero: Monero is a secure, private, untraceable currency. It is open-source and freely available to all. It uses a cryptographically sound system that allows you to send and receive funds without your transactions being publicly visible on the blockchain. Next I would be remiss if I didn’t talk about zcash. So Zcash is the first open, permissionless cryptocurrency that can fully protect the privacy of transactions using zero-knowledge cryptography. If Bitcoin is like http for money, Zcash is https—a secure transport layer Zcash brings fungibility to cryptocurrency by unlinking shielded coins from their history on the blockchain. There is also a coin called zclassic which is a fork of zcash that allocates all mining rewards directly to the miners, while with zcash, 20% of the rewards go to the founders for the first 4 years. However, zclassic does use the same trusted parameters as zcash. Zclassic believes in equity, no censorship and no governing body. Let’s take a better look Monero takes advantage of ring signatures, now according to their website, A ring signature is a type of group signature that makes use of your account keys and a number of public keys (also known as outputs) pulled from the blockchain using a triangular distribution method. Over the course of time, past outputs could be used multiple times to form possible signer participants. In a "ring" of possible signers, all ring members are equal and valid. There is no way an outside observer can tell which of the possible signers in a signature group belongs to your account. So, ring signatures ensure that transaction outputs are untraceable. Zcash is pioneering the use of zero-knowledge proofs, applying cutting-edge cryptography to blockchain technology. Zero-knowledge proofs allow fully encrypted transactions to be confirmed as valid. With Zcash, users can enjoy the advantages of using a public blockchain, while still being sure that their private information is protected. Ethereum can take advantage of zero knowledge proofs or zk-SNARKs because Ethereum’s flexible smart contract interface enables a large variety of applications, many of which have probably not yet been conceived. The possibilities grow considerably when adding the capacity for privacy. Imagine, for example, an election or auction conducted on the blockchain via a smart contract such that the results can be verified by any observer of the blockchain, but the individual votes or bids are not revealed. Another possible scenario may involve selective disclosure where users would have the ability to prove they are in a certain city without disclosing their exact location. The key to adding such capabilities to Ethereum is zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) – precisely the cryptographic engine underlying Zcash. Additional Information: Monero https://getmonero.org/home Ring signatures https://getmonero.org/knowledge-base/moneropedia/ringsignatures Zcash https://z.cash/ Zclassic http://zclassic.org/ Ethereum & zk-SNARKs https://z.cash/blog/zksnarks-in-ethereum.html More on Ethereum https://blog.ethereum.org/2017/01/19/update-integrating-zcash-ethereum/
Views: 6731 Crypto Tips
Problem Statement
 
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This video is part of the Udacity course "Material Design for Android Developers". Watch the full course at https://www.udacity.com/course/ud862
Views: 616 Udacity
Black Hole Attack in AODV with Example
 
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This video will show Black hole attack in AODV routing protocol. AODV is reactive routing protocol in which malicious node exploit this routing by sending fake RREP packets to source. Simulation steps for Blackhole http://www.jgyan.com/ns2/blackhole%20attack%20simulation%20in%20ns2.php
Views: 10022 HowTo
Scott Aaronson, "Remarks on the Physical Church-Turing Thesis" FQXi conference 2014 in Vieques
 
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fqxi.org The past century in physics seems to lead in a surprising direction: away from physics as a description of objects and their interactions, and towards physics as a description of the evolution of information. Is this the correct way to think about physics and the physical world? What is information? What does the term "information" even mean? What role does information play in quantum gravity, cosmology, thermodynamics, life and consciousness, and what links does it provide between these areas? FQXi's international, interdisciplinary conference on the Physics of Information brought together leading researchers to discuss the significance, meaning, and uses of information in physics.
Views: 6948 FQXi
Cloud Computing Security Thesis Proposal | Cloud Computing Security Projects Proposal
 
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Contact Best Cloud Computing Projects Visit us: http://cloudcomputingprojects.net/
2011 Killian Lecture: Ronald L. Rivest, "The Growth of Cryptography"
 
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Lecture title: "The Growth of Cryptography" Ronald L. Rivest, a professor of electrical engineering and computer science who helped develop one of the world's most widely used Internet security systems, was MIT’s James R. Killian, Jr. Faculty Achievement Award winner for 2010–2011. Rivest, the Andrew and Erna Viterbi professor in MIT's Department of Electrical Engineering and Computer Science, is known for his pioneering work in the field of cryptography, computer, and network security. February 8, 2011 Huntington Hall (10-250)
Cloud Computing Research Projects | Cloud Computing Research Thesis
 
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Contact Best Cloud Computing Projects Visit us: http://cloudcomputingprojects.net/
Irish monks in medieval times were bilingual - Research on Code-switching
 
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In her PhD thesis Nike Stam (Celtic Languages and Culture, Utrecht University) analysed bilingualism in texts by medieval Irish scribes. It appears that code-switching in medieval Irish texts may be both a functional communicative device and an unconscious expression of bilingual identity. Video produced by Faculty of Humanities, Utrecht University (Femke Niehof), 31 May 2017. The event: https://www.uu.nl/en/events/phd-thesis-defence-nike-stam-on-medieval-irish-bilingualism
Views: 1192 HumanitiesUU
Wireless Sensor Network Security Projects | Wireless Sensor Network Security Thesis
 
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Contact Best Network Simulator 2 Projects Visit us: http://networksimulator2.com/
Views: 67 networksimulator2
M Tech Thesis in Chandigarh | MATLAB Lecture 10
 
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THESIS WORK OMN MATLAB| THESIS IN CHANDIGARH| M TECH THESIS| PHD THESIS IN CHANDIGARH . Please like, subscribe and share my video. www.thesisworkchd.com https://thesisworkchd.files.wordpress... THESIS WORK ON MATLAB We provide thesis assistance and guidance in Chandigarh with full thesis help and readymade M.Tech thesis writing in MATLAB with full documentation in Chandigarh , Delhi, Haryana, Punjab, Jalandhar, Mohali, Panchkula, Ludiana, Amritsar and nearby area’s M.Tech. students by providing a platform for knowledge sharing between our expert team. Some of the important areas in which we provide thesis assistance presently have been listed below: BIOMEDICAL BASED PROJECTS: 1. AUTOMATIC DETECTION OF GLAUCOMA IN FUNDUS IMAGES. 2. DETECTION OF BRAIN TUMOR USING MATLAB 3. LUNG CANCER DIAGNOSIS MODEL USING BNI. 4. ELECTROCARDIOGRAM (ECG) SIMULATIONN USNG MATLAB FACE RECOGNITION: 5. FACE DETECTION USING GABOR FEATURE EXTRACTION & NEURAL NETWORK 6. FACE RECOGNITION HISTOGRAM PROCESSED GUI 7. FACE RECOGNITION USING KEKRE TRANSFORM FINGERPRINT RECOGNITION: 8. MINUTIAE BASED FINGERPRINT RECOGNITION. 9. FINGERPRINT RECOGNITION USING NEURAL NETWORK RECOGNITION/ EXTRACTION/ SEGMENTATION/WATERMARKING: 10. ENGLISH CHARACTER RECOGNITION USING NEURAL NETWORK 11. NUMBER RECOGNITION USING IMAGE PROCESSING 12. CHECK NUMBER READER USING IMAGE PROCESSING 13. DETECTION OF COLOUR OF VEHICLES. 14. SEGMENTATION & EXTRACTION OF IMAGES, TEXTS, NUMBERS, OBJECTS. 15. SHAPE RECOGNITION USING MATLAB IN THE CONTEXT OF IMAGE PROCESSING 16. RETINAL BLOOD VESSEL EXTRACTION USING MATLAB 17. RECONGITION AND LOCATING A TARGET FROM A GIVEN IMAGE. 18. PHASE BASED TEMPLATE MATCHING 19. A DETECTION OF COLOUR FROM AN INPUT IMAGE 20. CAESAR CIPHER ENCRYPTION-DECRIPTION 21. IMAGE SEGMENTATION - MULTISCALE ENERGY-BASED LEVEL SETS 22. THE IMAGE MEASUREMENT TOOL USING MATLAB 23. A DIGITAL VIDEO WATERMARKING TECHNIQUE BASED ON IDENTICAL FRAME EXTRACTION IN 3-LEVEL DWT (ALSO FOR 5-LEVEL DWT) 25. RELATED TO STEGANOGRAPHY AND CRYPTOGRAPHY 26. RELATED TO THE ALL TYPES OF WATERMARKING TECHNIQUES A. TEXT WATERMARKING B. IMAGE WATERMARKING C. VIDEO WATERMARKING D. COMBINATION OF TEXT AND IMAGE WITH KEY 27. OFFLINE SIGNATURE RECOGNITION USING NEURAL NETWORKS APPROACH 28. FRUIT RECOGNITAION RELATED PROJECTS 29. VESSEL SEGMENTATION AND TRACKING 30. PROPOSED SYSTEM FOR DATA HIDING USING CRYPTOGRAPHY AND STEGANOGRAPHY 31. BASED ON IMAGE COMPRESSION ALGORITHM USING DIFFERENT TECHNIQUES 32. GRAYSCALE IMAGE DIGITAL WATERMARKING TECHNOLOGY BASED ON WAVELET ANALYSIS 33. CONTENT-BASED IMAGE RETRIEVAL 34. IMAGE PROCESSING BASED INTELLIGENT TRAFFIC CONTROLLER 35. MORPHOLOGY APPROACH IN IMAGE PROCESSING And many more……….. http://www.thesisworkchd.com/
Views: 41 Pushpraj Kaushik
Turing machines explained visually
 
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A Turing machine is a model of a machine which can mimic any other (known as a universal machine). What we call "computable" is whatever a Turing machine can write down. This video is about how it was conceived and why it works. This is the second last video in the CS series (https://www.youtube.com/watch?v=fjMU-km-Cso&list=PLbg3ZX2pWlgI_ej6ZhGd45-cPoWLZD9pT)
Views: 72231 Art of the Problem
4.4 Algorithmic Complexity and Compressibility
 
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Unit 4 Module 4 Algorithmic Information Dynamics: A Computational Approach to Causality and Living Systems---From Networks to Cells by Hector Zenil and Narsis A. Kiani Algorithmic Dynamics Lab www.algorithmicdynamics.net Demonstration source code: http://demonstrations.wolfram.com/CellularAutomatonCompressibility/ Refs: http://demonstrations.wolfram.com/CellularAutomatonCompressibility/ - G.J. Chaitin. Algorithmic Information Theory, Cambridge University Press, Cambridge, 1987. - A.N. Kolmogorov, "Three approaches to the quantitative definition of information," Problems of Information Transmission 1, 1-11, 1965. - F. Soler-Toscano, H. Zenil, J.-P. Delahaye, N. Gauvrit, Calculating Kolmogorov Complexity from the Output Frequency Distributions of Small Turing Machines, arXiv:1211.1302 [cs.IT] - R. J. Solomonoff, "A formal theory of inductive inference: Parts 1 and 2. Information and Control," 7:1--22 and 224--254, 1964. - A. K. Zvonkin and L. A. Levin, "The complexity of finite objects and the development of the concepts of information and randomness by means of the theory of algorithms," Russian Mathematical Surveys, 25(6):83--124, 1970. - L.A. Levin, "Laws of information conservation (non-growth) and aspects of the foundation of probability theory," Problems Information Transmission, 10(3):206-210, 1974. - R. J. Solomonoff, "Algorithmic Probability\[LongDash]Its Discovery\[LongDash]Its Properties and Application to Strong AI," In H. Zenil (ed), Randomness Through Computation: Some Answers, More Questions, World Scientific, 2012. - H. Zenil, Compression-based Investigation of the Dynamical Properties of Cellular Automata and Other Systems, Complex Systems, vol. 19, No. 1, pp. 1-28, 2010. - H. Zenil, Asymptotic Behaviour and Ratios of Complexity in Cellular Automata Rule Spaces, International Journal of Bifurcation and Chaos vol. 23, no. 9, 2013.
Views: 547 Complexity Explorer
AES Tutorial: Binaural Audio Technology—History, Current Practice, Emerging Trends by Bob Schulein
 
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This tutorial covers the underlying principles germane to binaural perception, simulation, recording, and reproduction. It includes demonstrations as well as recorded audio/visual examples. During the winter and spring of 1931-32, Bell Telephone Laboratories, in cooperation with Leopold Stokowski and the Philadelphia Symphony Orchestra, undertook a series of tests of musical reproduction using the most advanced apparatus obtainable at that time. The objectives were to determine how closely an acoustic facsimile of an orchestra could be approached using both stereo loudspeakers and binaural reproduction. Detailed documents from the Bell Telephone archives serve as a basis for describing the results and problems revealed while creating the binaural demonstrations. Since these historic events, interest in binaural recording and reproduction has grown in areas such as sound field recording, acoustic research, sound field simulation, audio for electronic games, music listening, and artificial reality. Each of theses technologies has its own technical concerns involving transducers, environmental simulation, human perception, position sensing, and signal processing. Presented by Robert Schulein. AES Members can watch the full-length high resolution version of this tutorial on the AES Tutorials page: http://www.aes.org/tutorials/
Steganography  Projects
 
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Steganography Projects deals with hiding information using various algorithm in Images,Text,Video and other formats and transmit data secretly safeguarding from attackers and to retrieve the hidden information. http://matlabprojects.org/security-projects/steganography-projects/ We Develop Best Matlab Projects.Matlab Projects for B.E/B.Tech Students.Matlab Projects for M.E/M.Tech Students.Best Matlab Projects for Final Year Students.Matlab Projects based on IEEE Paper.Matlab Projects for Engineering students. We Develop Best Matlab Projects based on the Following Domains Image Processing,Power Electronics,Communication systems,Simulation,Simulink,Network Security,Steganography,Cryptography,Watermarking, Wireless,Signal Processing,Remote Sensing,Wireless communication,Artificial Neural Networks,Bio-Medical,Genetic Algorithm,Fuzzy Logic,Neural Networks,Renewable Energy. Visit us Matlab Projects:https://matlabprojects.org Image Processing: https://matlabprojects.org/image-processing-projects/ Artificial Networks: https://matlabprojects.org/image-processing-projects/artificial-networks-projects/ Bio Medical : https://matlabprojects.org/image-processing-projects/bio-medical-projects/ Digital Image Processing : https://matlabprojects.org/image-processing-projects/digital-image-processing-projects/ Fuzzy Logic :https://matlabprojects.org/image-processing-projects/fuzzy-logic-projects/ Genetic Algorithm:https://matlabprojects.org/image-processing-projects/genetic-algorithm-projects/ Power Electronics :https://matlabprojects.org/power-electronics-projects/ Renewable Energy : https://matlabprojects.org/power-electronics-projects/renewable-energy-projects/ communication system :https://matlabprojects.org/communication-system-projects/ Signal Processing : https://matlabprojects.org/communication-system-projects/signal-processing-projects/ Wireless : https://matlabprojects.org/communication-system-projects/wireless-projects/ Wireless Communication system :https://matlabprojects.org/communication-system-projects/wireless-communication-projects/ Remote Sensing : https://matlabprojects.org/communication-system-projects/remote-sensing-matlab/ Simulink :https://matlabprojects.org/simulink-projects/ Matlab Simulation :https://matlabprojects.org/simulink-projects/matlab-simulation-projects/ Matlab simulink :https://matlabprojects.org/simulink-projects/matlab-simulink-projects/ Security Projects :https://matlabprojects.org/security-projects/ Steganography :https://matlabprojects.org/security-projects/steganography-projects/ Network Security :https://matlabprojects.org/security-projects/network-security-projects/ Cryptography :https://matlabprojects.org/security-projects/cryptography-projects/ Watermarking :https://matlabprojects.org/security-projects/watermarking-projects/ Digital :https://matlabprojects.org/digital-projects/ DSP Projects : https://matlabprojects.org/digital-projects/dsp-projects/ DIP Projects : https://matlabprojects.org/digital-projects/dip-projects/ Matlab Thesis :https://matlabprojects.org/matlab-thesis/ IEEE Matlab Projects : https://matlabprojects.org/ieee-projects/ieee-matlab-projects/ Subscribe us Facebook :https://www.facebook.com/pages/Matlab-Projects/1383139892001744?ref=hl Twitter :https://twitter.com/matlabproj Google+ :https://plus.google.com/+MatlabprojectsOrgcom Pinterest :https://in.pinterest.com/matlabprojects/ Youtube :https://www.youtube.com/channel/UCHg2rrrsTVO1hs3kFxMp2wQ/feed?activity_view=3 Flickr :https://www.flickr.com/photos/[email protected]/ Tumblr :https://www.tumblr.com/login?redirect_to=%2Fblog%2Fmatlabprojectsorg
Views: 1813 Matlab Projects
Who should be responsible for IoT security?
 
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We interviewed Jaya Baloo, the Chief Information Security Officer of Dutch telco KPN, who has worked in the information security arena for the past 18 years, for global telecommunications companies such as Verizon and France Telecom. By 2020, there will be tens of billions of data-spouting devices connected to the Internet. And they're already changing how we live and work. With such device connectivity, inevitably the issue of security is a crucial factor to consider for IoT. Jaya discusses her thoughts on whether overall responsibility for safety against cyber threats lies with the vendor or the end-user.
Views: 3730 Hot Topics
Dynamic Credentials and Ciphertext Delegation for Attrib ...
 
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Talk at crypto 2012. Authors: Amit Sahai, Hakan Seyalioglu, Brent Waters. See http://www.iacr.org/cryptodb/data/paper.php?pubkey=24290
Views: 305 TheIACR
Thesis help for Research paper| MATLAB lecture 3
 
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THESIS WORK OMN MATLAB| THESIS IN CHANDIGARH| M TECH THESIS| PHD THESIS IN CHANDIGARH https://thesisworkchd.files.wordpress.com/2018/01/hh.pdf This is my third lecture on Variables. THESIS WORK ON MATLAB We provide thesis assistance and guidance in Chandigarh with full thesis help and readymade M.Tech thesis writing in MATLAB with full documentation in Chandigarh , Delhi, Haryana, Punjab, Jalandhar, Mohali, Panchkula, Ludiana, Amritsar and nearby area’s M.Tech. students by providing a platform for knowledge sharing between our expert team. Some of the important areas in which we provide thesis assistance presently have been listed below: BIOMEDICAL BASED PROJECTS: 1. AUTOMATIC DETECTION OF GLAUCOMA IN FUNDUS IMAGES. 2. DETECTION OF BRAIN TUMOR USING MATLAB 3. LUNG CANCER DIAGNOSIS MODEL USING BNI. 4. ELECTROCARDIOGRAM (ECG) SIMULATIONN USNG MATLAB FACE RECOGNITION: 5. FACE DETECTION USING GABOR FEATURE EXTRACTION & NEURAL NETWORK 6. FACE RECOGNITION HISTOGRAM PROCESSED GUI 7. FACE RECOGNITION USING KEKRE TRANSFORM FINGERPRINT RECOGNITION: 8. MINUTIAE BASED FINGERPRINT RECOGNITION. 9. FINGERPRINT RECOGNITION USING NEURAL NETWORK RECOGNITION/ EXTRACTION/ SEGMENTATION/WATERMARKING: 10. ENGLISH CHARACTER RECOGNITION USING NEURAL NETWORK 11. NUMBER RECOGNITION USING IMAGE PROCESSING 12. CHECK NUMBER READER USING IMAGE PROCESSING 13. DETECTION OF COLOUR OF VEHICLES. 14. SEGMENTATION & EXTRACTION OF IMAGES, TEXTS, NUMBERS, OBJECTS. 15. SHAPE RECOGNITION USING MATLAB IN THE CONTEXT OF IMAGE PROCESSING 16. RETINAL BLOOD VESSEL EXTRACTION USING MATLAB 17. RECONGITION AND LOCATING A TARGET FROM A GIVEN IMAGE. 18. PHASE BASED TEMPLATE MATCHING 19. A DETECTION OF COLOUR FROM AN INPUT IMAGE 20. CAESAR CIPHER ENCRYPTION-DECRIPTION 21. IMAGE SEGMENTATION - MULTISCALE ENERGY-BASED LEVEL SETS 22. THE IMAGE MEASUREMENT TOOL USING MATLAB 23. A DIGITAL VIDEO WATERMARKING TECHNIQUE BASED ON IDENTICAL FRAME EXTRACTION IN 3-LEVEL DWT (ALSO FOR 5-LEVEL DWT) 25. RELATED TO STEGANOGRAPHY AND CRYPTOGRAPHY 26. RELATED TO THE ALL TYPES OF WATERMARKING TECHNIQUES A. TEXT WATERMARKING B. IMAGE WATERMARKING C. VIDEO WATERMARKING D. COMBINATION OF TEXT AND IMAGE WITH KEY 27. OFFLINE SIGNATURE RECOGNITION USING NEURAL NETWORKS APPROACH 28. FRUIT RECOGNITAION RELATED PROJECTS 29. VESSEL SEGMENTATION AND TRACKING 30. PROPOSED SYSTEM FOR DATA HIDING USING CRYPTOGRAPHY AND STEGANOGRAPHY 31. BASED ON IMAGE COMPRESSION ALGORITHM USING DIFFERENT TECHNIQUES 32. GRAYSCALE IMAGE DIGITAL WATERMARKING TECHNOLOGY BASED ON WAVELET ANALYSIS 33. CONTENT-BASED IMAGE RETRIEVAL 34. IMAGE PROCESSING BASED INTELLIGENT TRAFFIC CONTROLLER 35. MORPHOLOGY APPROACH IN IMAGE PROCESSING And many more……….. http://www.thesisworkchd.com/
Views: 87 Pushpraj Kaushik