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

Digital circuits and methods for designing digital circuits are presented. In an embodiment, a number of bits (B) of a bit-stream to be processed in parallel by a digital circuit is selected. A clocking rate (C) is selected for the digital circuit such that BC is equal to at least 1 gigabit per second. An initial circuit, capable of serially processing the bits of the bit-stream at a data processing rate less than BC, is formed. This initial circuit includes a feedback loop with N+1 delays. N is a whole number greater than zero. The initial circuit is unfolded by a factor of B to form B parallel processing pipelines. An N-step look-ahead network is formed to provide inputs to the B parallel processing pipelines. The unfolded circuit is retimed to achieve the selected clocking rate (C).

Pipelined parallel processing of feedback loops in a decision feedback equaliser

/pdf/correction-to-brain-inspired-computing-models-and-436xjya8wc.pdf

Correction to “Brain-Inspired Computing: Models and Architectures”

Power Estimation Approaches

10GBASE-T (10 Gigabit Ethernet over unshielded twisted pairs) will probably use a 10-level pulse amplitude modulation (PAM10) as well as a 4D trellis code as in 1000BASE-T (1000 Megabit Ethernet over copper medium). One of most powerful approaches to decode the code is called parallel decision-feedback decoding. However, VLSI implementation of a PDFD (parallel decision-feedback decoder) operating at 833 MHz is extremely challenging due to its long critical path. This paper extends the word-level parallel processing technique for Viterbi decoders to design high speed parallel PDFDs. Compared with the straight-forward implementation of PDFDs, a 2-level parallel PDFD can achieve a speedup of 1.5 while the speedup for a 3-level parallel PDFD is around 2. More speedup is achievable if we combine some other techniques, such as pre-computation technique.

Parallel design for parallel decision feedback decoders for 10GBASE-T

L'invention concerne des systemes et des procedes varies concernant le precodage d'egalisation dans un canal de communications. Dans une realisation, la realisation du precodage s'effectue sur des signaux emis sur un canal optique. Dans une autre realisation, les operations de precodage et de decodage sont realises en parallele afin de faciliter un traitement a vitesse elevee dans des circuits relativement peu couteux. Il est possible de realiser une initialisation des precodeurs par emission d'information se rapportant aux caracteristiques du canal entre des paires d'emetteurs-recepteurs.

Keshab K. Parhi

Papers

Pipelined parallel processing of feedback loops in a decision feedback equaliser

Correction to “Brain-Inspired Computing: Models and Architectures”

Power Estimation Approaches

Parallel design for parallel decision feedback decoders for 10GBASE-T

Systeme et procede destines a des communications a vitesse elevee utilisant un traitement de signal numerique