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Convolution Image-based Watermarking for 2D Greyscale Image
Convolution Image-based Watermarking for 2D Greyscale Image
Watermarking technique for the image is an efficient method for protecting copyright image, and also a huge topic in cryptography. In this paper, two spread spectrum watermarking scheme, the Convolution Image-based Model (CIM) and the Exponential Convolution Image-based Model (ECIM) are going to be formulated and discussed. The watermarking experiment result will be shown and discussed, focusing on the attack scheme, protectability, and the information encryption of the watermark. We will show that the convolution image-based model for invisible watermark is weak of protectability, but it is able to hide the information (the size of watermark must be less than the original image) and store inside the image.
Homer
LABORATORIO 3
LABORATORIO 3
laborario 3 de calculo vectorial
sebastian diaz
Chris Else CV
Chris Else CV
CV
chris else
Sorting Algorithm Comparison
Sorting Algorithm Comparison
Merge Sort vs. Bubble Sort
vivek378
Layout com CSS
Layout com CSS
Layout com CSS
Vitoria Soares
Machine Teaching for Information Extraction
Machine Teaching for Information Extraction
Recent work on information extraction has suggested that fast, interactive tools can be highly effective; however, creating a usable system is challenging, and few publically available tools exist. In this paper we present IKE, a new extraction tool that performs fast, interactive bootstrapping to develop high-quality extraction patterns for targeted relations, and provides novel solutions to these usability concerns. In particular, it uses a novel query language that is expressive, easy to understand, and fast to execute - essential requirements for a practical system - and is the first interactive extraction tool to seamlessly integrate symbolic and distributional methods for search. An initial evaluation suggests that relation tables can be populated substantially faster than by manual pattern authoring or using fully automated tools, while retaining accuracy, an important step towards practical knowledge-base construction.
sumithra
Charge to Mass Ratio of the Electron
Charge to Mass Ratio of the Electron
For an electron moving in a circular path in a magnetic field, if we know the magnetic field strength, accelerating voltage, and radius of the electron's trajectory, then we can make an estimation of the electron's charge to mass ratio. We calculated an average charge to mass ratio of \(2.08 \times 10^{11} \pm 1.81 \times 10^8\) Coulombs per kilogram.
Jake Rugh