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

The sphere decoding (SD) algorithm has been widely recognized as an important algorithm to solve the maximum likelihood detection (MLD) problem, given that symbols can only be selected from a set with a finite alphabet. The complexity of the sphere decoding algorithm is much lower than the directly implemented MLD method, which needs to search through all possible candidates before making a decision. However, in high-dimensional and low signal-to-noise ratio (SNR) cases, the complexity of sphere decoding is still prohibitively high for practical applications. In this paper, a simplified SD algorithm, which combines the K-best algorithm and SD algorithm, is proposed. With carefully selected parameters, the new SD algorithm, called SD-KB algorithm, can achieve very low complexity with acceptable performance degradation compared with the traditional SD algorithm. The low complexity of the SD-KB algorithm makes it applicable to the simultaneously operating piconets (SOP) problem of the multi-band orthogonal frequency division multiplex (MB-OFDM) scheme for the high-speed wireless personal area network (WPAN). We show in particular that the proposed algorithm provides over 4 dB gain in bit error rate (BER) performance over the baseline MB-OFDM scheme when several piconets interfere with each other. The SD-KB algorithm can provide pseudo-MLD solutions, which have significant performance gain over the baseline method, especially when the signal-to-noise ratio (SNR) is low. The cost of performance improvement is a higher complexity. However, the new SD algorithm has predictable computation complexity even in the worst scenario.

High performance solution for interfering UWB piconets with reduced complexity sphere decoding

The adolescent major depressive disorder is one of the top 10 debilitating psychiatric illnesses and the effectiveness of current treatment methods are constrained by the limited understanding of biological causes. In this paper, we use diffusion tensor imaging to explore changes in anatomical connectivity between the MDD group (n=37) and control group (n=27). Furthermore, along-track analysis is performed to identify locations of alterations along connections with significant connectivity change. For the connection between the hippocampus and the insular cortex in the right hemisphere, decreased connectivity in axial diffusivity (AD), mean diffusivity (MD), and radial diffusivity (RD) was discovered. Additionally, the number of tracks for the same connection is increased for the MDD group. Moreover, for the connection between the parahippocampal gyrus and the insular cortex in the left hemisphere, increased connectivity is observed in fractional anisotropy (FA), AD, MD, and RD. Furthermore, the locations of significant alterations are identified to be between 65% to 100% from the insular cortex to the hippocampus in the right hemisphere and at the 80% location from the insular cortex to the parahippocampal gyrus in the left hemisphere. The significant and consistent white matter changes at the hippocampus end of the insula-hippocampus connection suggest potential correlations to the previously reported grey matter shrinkage and functional abnormalities.

Altered Structural Connection Between Hippocampus and Insula in Adolescent Major Depressive Disorder using DTI

Variable data rate (VDR) network congestion control (NCC) applied to voice/audio communication

I was most pleased to hear that Dr. Takao Nishitani was selected to receive the 2017 IEEE Donald O. Pederson Award in Solid-State Circuits. Sometimes very deserving candidates are not nominated and never receive the awards they truly deserve. Typically these individuals are too humble to expect these awards; Dr. Nishitani is indeed one such individual. I thank Wanda Gass for finding the original architects of the programmable digital signal processor (DSP) at NEC and Bell Labs and Rajeev Jain for nominating them. Dr. Nishitani's work on programmable signal processing ICs at NEC C&C Research Laboratory over many decades is simply exemplary.

Takao Nishitani: An Outstanding Researcher, Technical Leader, and Mentor

Homomorphic Encryption (HE) allows any third party to operate on the encrypted data without decrypting it in advance. For the majority of HE schemes, the multiplicative depth of circuits is the main practical limitation in performing computations over encrypted data. Hence, Homomorphic multiplication is one of the most important components of homomorphic encryption. Since most of the HE schemes are constructed from the ring-learning with errors (R-LWE) problem. Efficient polynomial modular multiplication implementation becomes critical. This work consists of describing various approaches to implementing polynomial modular multiplication based on number theoretic transform.

Keshab K. Parhi

Papers

High performance solution for interfering UWB piconets with reduced complexity sphere decoding

Altered Structural Connection Between Hippocampus and Insula in Adolescent Major Depressive Disorder using DTI

Variable data rate (VDR) network congestion control (NCC) applied to voice/audio communication

Takao Nishitani: An Outstanding Researcher, Technical Leader, and Mentor

NTT-Based Polynomial Modular Multiplication for Homomorphic Encryption: A Tutorial