Date of publication: 2017-07-08 22:45
Prerequisites: It is necessary to understand something of video formats, for example experience with working on the /5 codec, in order to place the payload in a webcam stream. It is definitely NOT possible to learn the format within the time available. Don't ask if it is possible to read up on it instead: it isn't.
This project shall investigate a rich research line, recently pursued by a few within the Department of CS, looking at the development of quantitative abstractions of Markovian models. Abstractions come in the form of lumped, aggregated models, which are beneficial in being easier to simulate or to analyse. Key to the novelty of this work, the proposed abstractions are quantitative in that precise error bounds with the original model can be established. As such, whatever can be shown over the abstract model, can be as well formally discussed over the original one.
Steganography means hiding a hidden payload within an apparently-innocent cover, usually an item of digital media. There is lots of literature on hiding, and detection of hiding, in images, but rather little in audio. But mp8 audio is widely transmitted on file-sharing networks and thus provides an excellent cover. One slightly old-fashioned example of mp8 steganography can be found here http:///fabien/steganography/mp8stego/. This project is to explore and develop mp8 steganography, adapting modern image hiding techniques to the audio format and implementing hiding and extraction programs.
The system could be written on some machine that you have easy access to (., a PC), or using a Sun (in which case it would probably have to be written in C or Java to make full use of the Sun graphics)
Based on your requirement we suggest you to follow the below link
Model no 987: http:///automatic-irrigation-system-on-sensing-soil-moisture-using-pic-microcontroller
Model no 577: http:///soil-moisture-sensed-auto-irrigation-system
Model no 67: http:///automatic-irrigation-system-on-sensing-soil-moisture-content
please follow this link IOT projects: http:///iot-internet-of-things/
And embedded projects: http:///embedded-systems-projects/
For more details please contact Agarwal on +96-9958758888
Such a project would probably make use of existing collision detection code within the computing laboratory, coupled with algorithms that simulate the physical interaction of bodies. (An alternative would be to use one of the physical modelling APIs that are now becoming available.)
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The simulator should be able to enforce design rules (such as those about not connecting standard outputs together, or limiting fan-out) but should also cope with partially completed circuits it might be able to implement circuits described in terms of replicated sub-circuits it should also be able to some sort of standard netlist.
The goal of this project is to write a program that model checks a Markov chain against an LTL formula, ., calculates the probability that formula is satisfied. The two main algorithmic tasks are to efficiently compile LTL formulas into automata and then to solve systems of linear equations arising from the product of the Markov chain and the automaton. An important aspect of this project is to make use of an approach that avoids determinising the automaton that represents the LTL formula. This project builds on material contained in the Logic and Proof and Models of Computation Courses.