496 research outputs found
PCA Encrypted Short Acoustic Data Inculcated in Digital Color Images
We propose develop a generalized algorithm for hiding audio signal using image steganography. The authors suggest transmitting short audio messages camouflaged in digital images using Principal Component Analysis (PCA) as an encryption technique. The quantum of principal components required to represent the audio signal by removing the redundancies is a measure of the magnitude of the Eigen values. The aforementioned technique follows a dual task of encryption and in turn also compresses the audio data, sufficient enough to be buried in the image. A 57Kb audio signal is decipher from the Stego image with a high PSNR of 47.49 and a correspondingly low mse of 3.3266 × 1
HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data
Privacy-preserving solutions enable companies to offload confidential data to
third-party services while fulfilling their government regulations. To
accomplish this, they leverage various cryptographic techniques such as
Homomorphic Encryption (HE), which allows performing computation on encrypted
data. Most HE schemes work in a SIMD fashion, and the data packing method can
dramatically affect the running time and memory costs. Finding a packing method
that leads to an optimal performant implementation is a hard task.
We present a simple and intuitive framework that abstracts the packing
decision for the user. We explain its underlying data structures and optimizer,
and propose a novel algorithm for performing 2D convolution operations. We used
this framework to implement an HE-friendly version of AlexNet, which runs in
three minutes, several orders of magnitude faster than other state-of-the-art
solutions that only use HE.Comment: 17 pages, 7 figure
Noninvasive methods for children\u27s cholesterol level determination
Today, there is a controversy about the role of cholesterol in infants and the measurement and management of blood cholesterol in children. Several scientific evidences are supporting relationship between elevated blood cholesterol in children and high cholesterol in adults and development of adult arteriosclerotic diseases such as cardiovascular and cerebrovascular disease. Therefore controlling the level of blood cholesterol in children is very important for the health of the whole population. Non-invasive methods are much more convenient for the children because of their anxieties about blood examinations. In this paper we will present a new try to find non-invasive methods for determining the level of blood cholesterol in children with the use of intelligent system
Surface EMG decomposition using a novel approach for blind source separation
We introduce a new method to perform a blind deconvolution of the surface electromyogram (EMG) signals generated by isometric muscle contractions. The method extracts the information from the raw EMG signals detected only on the skin surface, enabling longtime noninvasive monitoring of the electromuscular properties. Its preliminary results show that surface EMG signals can be used to determine the number of active motor units, the motor unit firing rate and the shape of the average action potential in each motor unit
Sparse Signal Processing Concepts for Efficient 5G System Design
As it becomes increasingly apparent that 4G will not be able to meet the
emerging demands of future mobile communication systems, the question what
could make up a 5G system, what are the crucial challenges and what are the key
drivers is part of intensive, ongoing discussions. Partly due to the advent of
compressive sensing, methods that can optimally exploit sparsity in signals
have received tremendous attention in recent years. In this paper we will
describe a variety of scenarios in which signal sparsity arises naturally in 5G
wireless systems. Signal sparsity and the associated rich collection of tools
and algorithms will thus be a viable source for innovation in 5G wireless
system design. We will discribe applications of this sparse signal processing
paradigm in MIMO random access, cloud radio access networks, compressive
channel-source network coding, and embedded security. We will also emphasize
important open problem that may arise in 5G system design, for which sparsity
will potentially play a key role in their solution.Comment: 18 pages, 5 figures, accepted for publication in IEEE Acces
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