비만아 부모의 돌봄 경험: q 방법론

After two decades of research and development, elliptic curve cryptography now has widespread exposure and acceptance. Industry, banking, and government standards are in place to facilitate extensive deployment of this efficient public-key mechanism. Anchored by a comprehensive treatment of the practical aspects of elliptic curve cryptography (ECC), this guide explains the basic mathematics, describes state-of-the-art implementation methods, and presents standardized protocols for public-key encryption, digital signatures, and key establishment. In addition, the book addresses some issues that arise in software and hardware implementation, as well as side-channel attacks and countermeasures. Readers receive the theoretical fundamentals as an underpinning for a wealth of practical and accessible knowledge about efficient application. Features & Benefits: * Breadth of coverage and unified, integrated approach to elliptic curve cryptosystems * Describes important industry and government protocols, such as the FIPS 186-2 standard from the U.S. National Institute for Standards and Technology * Provides full exposition on techniques for efficiently implementing finite-field and elliptic curve arithmetic* Distills complex mathematics and algorithms for easy understanding* Includes useful literature references, a list of algorithms, and appendices on sample parameters, ECC standards, and software toolsThis comprehensive, highly focused reference is a useful and indispensable resource for practitioners, professionals, or researchers in computer science, computer engineering, network design, and network data security.

https://cdn.preterhuman.net/texts/cryptography/Hankerson,%20Menezes,%20Vanstone.%20Guide%20to%20elliptic%20curve%20cryptography%20(Springer,%202004)(ISBN%20038795273X)(332s)_CsCr_.pdf

Guide to Elliptic Curve Cryptography

National Institute of Standards and Technology における超伝導研究及び生活

Most of the signal processing that we will study in this course involves local operations on a signal, namely transforming the signal by applying linear combinations of values in the neighborhood of each sample point. You are familiar with such operations from Calculus, namely, taking derivatives and you are also familiar with this from optics namely blurring a signal. We will be looking at sampled signals only. Let's start with a few basic examples. Local difference Suppose we have a 1D image and we take the local difference of intensities, DI(x) = 1 2 (I(x + 1) − I(x − 1)) which give a discrete approximation to a partial derivative. (We compute this for each x in the image.) What is the effect of such a transformation? One key idea is that such a derivative would be useful for marking positions where the intensity changes. Such a change is called an edge. It is important to detect edges in images because they often mark locations at which object properties change. These can include changes in illumination along a surface due to a shadow boundary, or a material (pigment) change, or a change in depth as when one object ends and another begins. The computational problem of finding intensity edges in images is called edge detection. We could look for positions at which DI(x) has a large negative or positive value. Large positive values indicate an edge that goes from low to high intensity, and large negative values indicate an edge that goes from high to low intensity. Example Suppose the image consists of a single (slightly sloped) edge:

http://ieeexplore.ieee.org/iel5/5/31307/01456462.pdf

Linear systems

Ad hoc wireless networks enable new and exciting applications, but also pose significant technical challenges. In this article we give a brief overview of ad hoc wireless networks and their applications with a particular emphasis on energy constraints. We then discuss advances in the link, multiple access, network, and application protocols for these networks. We show that cross-layer design of these protocols is imperative to meet emerging application requirements, particularly when energy is a limited resource.

Design challenges for energy-constrained ad hoc wireless networks

A method of processing multiple VLC data elements concurrently. A system realizing this method comprises a plurality of encoders under control and a plurality, typically like in number, of decoders under separate, but accorded control. Furthermore, a means of communication from the former to the latter is incorporated in which ordinal and temporal correspondence is established between particular encoders and particular decoders. Encoder control provides an ordered symbol assignment strategy across all encoders. Decoder control detects the encoder assignment strategy and applies it to the task of restoring the original output order among all decoder outputs.

Concurrent method for parallel Huffman compression coding and other variable length encoding and decoding

Several algorithms for parallel implementation of adaptive decision feedback equalizers (DFEs) are proposed. The first is a double-row DFE algorithm that outperforms previous approaches. Under the no-error-propagation assumption, the algorithm will perform exactly like a serially adapting DFE. The multiplication complexity of the double-row DFE algorithm is of the same order as that of the parallel DFE algorithm and the extended least-mean-square (LMS) method. The previous algorithms and the double-row DFE algorithm may become impractical to implement due to their large computational complexity, so three additional parallel implementations of the DFE, which lead to considerable hardware savings and avoid the coding loss of the former approaches, are presented. The different algorithms are compared on the basis of convergence analysis and simulation results. >

Parallel adaptive decision feedback equalizers

High sample rate recursive filtering can be achieved by transforming the original filters to higher-order filters using the scattered look-ahead computation technique (which relies upon pole-zero cancellation). Finite word-length implementation of these filters leads to inexact pole-zero cancellation. This necessitates a thorough study of finite word effects in these filters. Theoretical results on roundoff and coefficient quantization errors in these filters are presented. It is shown that to maintain the same error at the filter output, the word length needs to be at most increased by log/sub 2/ log/sub 2/ 2M bit for a scattered look-ahead decomposed filter (where as M is the level of loop pipelining). This worst case corresponds to the case when all poles are close to zero. For M between two and eight, the word length needs to be increased only by 1 or 2 bit. Contrary to common beliefs, it is concluded that pole-zero canceling scattered look-ahead pipelined recursive filters have good finite word error properties. >

Finite word effects in pipelined recursive filters

Methodologies are addressed for high-level synthesis of dedicated digital signal processing (DSP) architectures using the Minnesota Architecture Synthesis (MARS) design system. The MARS system is capable of exploring a wide design space because the authors' synthesis algorithms can accommodate multiple implementation styles. Algorithms are given for concurrent scheduling and resource allocation for systematic synthesis of DSP architectures. The algorithms exploit inter-iteration and intra-iteration precedence constraints, and produce as good or better results than those published. Synthesis is accommodated with multiple implementation styles to reduce overall hardware costs; systematic synthesis of such architectures has not been explored so far. To improve the quality of the final schedule, the algorithm utilizes implicit retiming and pipelining of the data flow graph. >

Dedicated DSP architecture synthesis using the MARS design system

This paper considers the design of low-complexity dedicated finite field multipliers. A modified Mastrovito multiplication scheme is proposed in this paper, which has a complexity proportional to (m-1-pwt), where pwt is the Hamming weight of the underlying irreducible polynomial. With this modified multiplier and the original Mastrovito multiplier, low-complexity parallel multipliers for finite fields GF(2/sup M/) can be designed with complexity proportional to min{pwt, m-1-pwt}, hence are good for irreducible polynomials of both low and high Hamming weights. This completes the design space and offers more freedom on polynomial selection. It is shown that this generalized Mastrovito multiplier generally has the lowest complexity, smallest latency and consumes the least power, compared with other standard-basis and dual-basis multipliers.

Keshab K. Parhi

Papers

Concurrent method for parallel Huffman compression coding and other variable length encoding and decoding

Parallel adaptive decision feedback equalizers

Finite word effects in pipelined recursive filters

Dedicated DSP architecture synthesis using the MARS design system

Low-complexity modified Mastrovito multipliers over finite fields GF(2/sup M/)