This paper explores the resistance of MOS current mode logic (MCML) against differential power analysis (DPA) attacks. Circuits implemented in MCML, in fact, have unique characteristics both in terms of power consumpt...
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This paper explores the resistance of MOS current mode logic (MCML) against differential power analysis (DPA) attacks. Circuits implemented in MCML, in fact, have unique characteristics both in terms of power consumption and the dependency of the power profile from the input signal pattern. Therefore, MCML is suitable to protect cryptographic hardware from DPA and similar side-channel attacks. In order to demonstrate the effectiveness of different logic styles against power analysis attacks, the non-linear bijective function of the Kasumi algorithm (known as substitution box S7) was implemented with CMOS and MCML technology, and a set of attacks was performed using power traces derived from SPICE-level simulations. Although all keys were discovered for CMOS, only very few attacks to MCML were successful.
This paper is to present the conclusions obtained from the parametric study of the application of the uncertain variable (UV) theory to the problem of the interactive multi-model method (IMM) in the navigation system ...
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An approach for restoring the images of a suspected person taken by a security camera with dirty lens is proposed In the approach, the peculiar facts concerning the security camera system that all the things in the im...
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This paper presents a new full-search block-matching algorithm: Multi-stage Interval-based Motion Estimation algorithm (MIME). The proposed algorithm is a block based motion estimation algorithm that utilizes successi...
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E-health is closely related with networks and telecommunications when dealing with applications of collecting or transferring medical data from distant locations for performing remote medical collaborations and diagno...
ISBN:
(数字)9781598290370
E-health is closely related with networks and telecommunications when dealing with applications of collecting or transferring medical data from distant locations for performing remote medical collaborations and diagnosis. In this book we provide an overview of the fields of image and signal processing for networked and distributed e-health applications and their supporting technologies. The book is structured in 10 chapters, starting the discussion from the lower end, that of acquisition and processing of biosignals and medical images and ending in complex virtual reality systems and techniques providing more intuitive interaction in a networked medical environment. The book also discusses networked clinical decision support systems and corresponding medical standards, WWW-based applications, medical collaborative platforms, wireless networking, and the concepts of ambient intelligence and pervasive computing in electronic healthcare systems.
The shape of a NURBS curve or surface is defined by the location of its control points, the control points' weights, and the knot vectors. Most of the curve and surface design tried to modify the control points. H...
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ISBN:
(纸本)0769526063
The shape of a NURBS curve or surface is defined by the location of its control points, the control points' weights, and the knot vectors. Most of the curve and surface design tried to modify the control points. However, it is still impossible to obtained accurate control points for a reconstructed NURBS curve or surface. The fitness of these surfaces is generally considered a subjective notion depending on the judgment of the designers (eg. visually pleasing, devoid of unnecessary bumps or wiggles, satisfying certain continuity requirements). One of the restriction in ship hull design is that the existing details of a ship design on paper or a ship that already been constructed physically couldn't be reconstructed accurately and concisely in a ship hull design software. This research strives to solve this problem by creating fair ship hull surface using NURBS. An optimized NURBS ship hull fitting approach using simulated annealing is developed. Evaluation and analysis (accuracy, fairness and speed of processing) on the proposed approach is done.
A novel method to simplify decision functions of support vector machines (SVMs) is proposed in this paper. In our method, a decision function is determined first in a usual way by using all training samples. Next thos...
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This paper desires to explore the role of barcode technology in blood bank information systems via addressing its upgrade and the consequent impact. Firstly, it briefs the application and effect of barcode technology ...
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The aim of this paper is to propose a new adaptive technique to improve the performance of 3G Ad-Hoc networks based on CDMA2000 in fading channels. The RAKE receiver combined with channel searchers provide improved es...
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The aim of this paper is to propose a new adaptive technique to improve the performance of 3G Ad-Hoc networks based on CDMA2000 in fading channels. The RAKE receiver combined with channel searchers provide improved estimation of the Time of Arrival and Amplitude of Arrival of the strongest received signal. Ad-Hoc networks based on the Grid protocol are considered for the analysis and simulation. A novel two-dimension figure of merit is suggested to describe the channel effects on delay and amplitude estimation. Errors in delay are corrected by adaptively increasing the number of RAKE fingers while the amplitude errors are corrected through adaptive power control.
This paper presents a features extraction module for isolated handwritten Arabic characters. The collected core features are based on pixels orientations according to Freeman chain code. The input to this module is Ar...
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ISBN:
(纸本)9608457564
This paper presents a features extraction module for isolated handwritten Arabic characters. The collected core features are based on pixels orientations according to Freeman chain code. The input to this module is Arabic character (in its basic-shapes i.e. without diacritics). The features extractor module, fed with a skeleton of an isolated character basic-shape, yields global and local features. Feature vector of 12 elements are used. Two features are global while the remaining 10 elements are locals. Neural network classifier is used for aggregating the features for classification decision making.
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