The proceedings contain 49 papers. The topics discussed include: models and approaches for the safety and the security of distributed systems;redesign CloudRAID for flexible and secure enterprise file sharing over pub...
ISBN:
(纸本)9781450353038
The proceedings contain 49 papers. The topics discussed include: models and approaches for the safety and the security of distributed systems;redesign CloudRAID for flexible and secure enterprise file sharing over public cloud storage;a universal user revocation scheme with key-escrow resistant for Ciphertext-policy attribute-based access control systems;an enhanced parallel version of RSA public key crypto based algorithm using OpenMP;a model of a secure electronic voting system based on blind intermediaries using Russian cryptographic algorithms;privacy preserving two-server Diffie-Hellman key exchange protocol;attribute-based approach of defining the secure behavior of automata objects;network security architectures for VANET;tamperproof complex event processing in IoT devices using side channel information;integer overflow vulnerabilities detection in software binary code;a novel malware analysis for malware detection and classification using machine learning algorithms;collaborative representation of Grassmann manifold projection metric for robust multi-spectral face recognition;extended multi-spectral imaging for gender classification based on image set;parameters of the two-stage synchronization algorithm for the quantum key distribution system;abnormal leakage of energy in battery-based IoT-devices;a framework for data security in the cloud using collaborative intrusion detection scheme;and integration of role based access control with homomorphic cryptosystem for secure and controlled access of data in cloud.
Rheumatic Fever and Rheumatic Heart Disease remain a major burden among children in developing countries. Echocardiography with colour flow Doppler is key to early diagnosis. However, the technique requires time and e...
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ISBN:
(纸本)9789897582158
Rheumatic Fever and Rheumatic Heart Disease remain a major burden among children in developing countries. Echocardiography with colour flow Doppler is key to early diagnosis. However, the technique requires time and experienced operators, which are scarce resources in the affected areas. Automatic segmentation of colour Doppler regurgitation jets could, potentially, reduce the cost of screening, and spread diagnostic accessibility for a larger number of patients. Ultrasound processing is very challenging due to speckle noise and similarity of representation of all kinds of tissue. Region-based active contours are suitable tools for the segmentation in cases of intensity heterogeneities, which makes them interesting algorithms for left atrium segmentation. HSV colour space describes colour in terms of hues and saturation, which may facilitate the translation of medical interpretation of the Doppler pseudo-colour into mathematical expression for colour segmentation. A total of 979 frames from 20 sequences were manually annotated and used to validate the proposed pipeline. Overall, the results for colour pattern segmentation are promising (sensitivity=0.91 false detection rate=0.10), but further developments are required for the atrium segmentation (sensitivity=0.80, false detection rate=0.28).
Optical metrology using phase measurements has benefited significantly from the introduction of phase-shifting methods, first in interferometry, then also in fringe projection and fringe reflection. As opposed to inte...
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ISBN:
(纸本)9781510611047;9781510611030
Optical metrology using phase measurements has benefited significantly from the introduction of phase-shifting methods, first in interferometry, then also in fringe projection and fringe reflection. As opposed to interferometry, the latter two techniques generally use a spatiotemporal phase-shifting approach: A sequence of fringe patterns with varying spacing is used, and a phase map of each is generated by temporal phase shifting, to allow unique assignments of projector or screen pixels to camera pixels. One ubiquitous problem with phase-shifting structured-light techniques is that phase artefacts appear near regions of the image where the modulation amplitude of the projected or reflected fringes changes abruptly, e. g. near dirt/dust particles on the surface in deflectometry or bright-dark object colour transitions in fringe projection. Near the bright-dark boundaries, responses in the phase maps appear that are not plausible as actual surface features. The phenomenon has been known for a long time but is usually ignored because it does not compromise the overall reliability of results. In deflectometry, however, often the objective is to find and classify small defects, and of course it is then important to distinguish between bogus phase responses caused by fringe modulation changes, and actual surface defects. We present, for what we believe is the first time, an analytical derivation of the error terms, study the parameters influencing the phase artefacts (in particular the fringe period), and suggest some simple algorithms to minimise them.
On the basis of the evaluation of local properties of the data many nonlinear techniques have been suggested the field of computer vision. The application of the dimensionality reduction covers many fields like medica...
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ISBN:
(纸本)9781509027170
On the basis of the evaluation of local properties of the data many nonlinear techniques have been suggested the field of computer vision. The application of the dimensionality reduction covers many fields like medical, geographical, simulation and many more. I have studied MDS, LLE and LTSA. Overall, the users a re allowed to access the search-tools in linear system. A review and systematic comparison of all the existing techniques has been presented in this paper. The outputs have been explained through identification of current non-linear techniques, and suggestions pertaining to the way the performance of nonlinear dimensionality reduction techniques can be improved. The Purpose of this idea is based on the to implement it in manifold fields by analyzing the result of face detector and recognizer for multiple people in real time with Principal Component analysis on eigen face. According to the most recent research, some issues are confronted in the security at public places. The efficiency and accuracy of these problems can be improved with the range and intricacy of camera networks are booming and the audited surroundings have become more and more entangled and crowded. How these emerging challenges are faced is discussed in the paper.
Digital watermarking is an efficient method for digital access rights management utilized in the scope of multimedia data. A possibility to combine the procedure of compression and watermarking in effective way for di...
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Drowsiness of a person is major cause for accidents and to avoid accidents alerting person at right time is very necessary. Yawning is one of the signs, which indicates whether the person is drowsy or not. Most of the...
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image fusion plays an important role in remote sensing applications. Because of this, the evaluation of the spectral quality of pan-sharpened images is a fundamental subject to optimize and compare the results of diff...
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image Segmentation Using Hierarchical Merge Tree is analyzed in this paper by means of fast fuzzy c-means clustering algorithm and fuzzy membership function. Proposed work is done for the color segmentation, as previo...
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ISBN:
(纸本)9781509047611
image Segmentation Using Hierarchical Merge Tree is analyzed in this paper by means of fast fuzzy c-means clustering algorithm and fuzzy membership function. Proposed work is done for the color segmentation, as previous research presents a connected coherence tree algorithm (CCTA) for image segmentation with no prior knowledge. It aims to find regions of semantic coherence based on the proposed e-neighbor coherence segmentation criterion. RGB image is converted to Lab color space by taking average of each color component individually, then the average value of the color of small region selected is compared with all the pixels of the image and finally the desired object gets segmented efficiently. This algorithm runs in small time with much accuracy since, FFCM avoids some unnecessary comparisons between the pixels.
Iris recognition research is heading towards enabling more relaxed acquisition conditions. This has effects on the quality and resolution of acquired images, severely affecting the accuracy of recognition systems if n...
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ISBN:
(纸本)9781538607336
Iris recognition research is heading towards enabling more relaxed acquisition conditions. This has effects on the quality and resolution of acquired images, severely affecting the accuracy of recognition systems if not tackled appropriately. In this paper, we evaluate a super-resolution algorithm used to reconstruct iris images based on iterative neighbor embedding of local image patches which tries to represent input low-resolution patches while preserving the geometry of the original high-resolution space. To this end, the geometry of the low-and high-resolution manifolds are jointly considered during the reconstruction process. We validate the system with a database of 1,872 near-infrared iris images, while fusion of two iris comparators has been adopted to improve recognition performance. The presented approach is substantially superior to bilinear/bicubic interpolations at very low resolutions, and it also outperforms a previous PCA-based iris reconstruction approach which only considers the geometry of the low-resolution manifold during the reconstruction process.
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