Results 101 to 110 of about 27,378 (290)
Fast, low-power, and variation tolerant true random number generator based on a mott memristor [PDF]
, 2021 https://archives.kaist.ac.kr/eng/research.jsp?year=2021&view=view07난수 발생기 (Random Number Generator, RNG)란 정보의 암호화 과정에 필수적으로 이용되는 키 (key)를 생성하는 장치이다. 진성 난수 발생기(True Random Number Generator, TRNG)는 물리적인 무작위 현상을 기반으로 완전한 난수를 발생하는 장치로 차세대 보안 소자의 핵심 기술이다. 기존의
김경민
core
Clinical, Histologic, and Serological Predictors of Renal Function Loss in Lupus Nephritis
Arthritis Care &Research, EarlyView.Objective Kidney survival is the ultimate goal in lupus nephritis (LN) management, but long‐term predictors remain inadequately studied, requiring long‐term follow‐up. This study aimed to identify baseline and early longitudinal predictors of kidney survival in the Accelerating Medicines Partnership LN longitudinal cohort.
Shangzhu Zhang +21 more
wiley +1 more source
Research of True Random Number Generator Based on PLL at FPGA
, 2012 It's very difficult to use resistance thermal noise for pseudo-random number in encryption algorithm at increasingly powerful personal computing functionality now. So the situation we need the true random number more and more.
Dejun, Li, Zhen, Pei
core +1 more source
True Random Number Generators Secure in a Changing Environment [PDF]
, 2003 A true random number generator (TRNG) usually consists of two components: an “unpredictable” source with high entropy, and a randomness extractor — a function which, when applied to the source, produces a result that is statistically close to the uniform distribution.
Boaz Barak, Ronen Shaltiel, Eran Tromer
openaire +1 more source
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Advanced Engineering Materials, EarlyView.Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Karl Popper and the Mechanisms of Hydrogen Embrittlement
Advanced Engineering Materials, EarlyView.Representation of the beginning of loss of ductility rather than embrittlement. Small concentrations of hydrogen in a diffusible form within iron are well‐established to harm the mechanical integrity of steels. There are theories that attempt to explain the pernicious role of hydrogen.
H. K. D. H. Bhadeshia
wiley +1 more source
Advanced Engineering Materials, EarlyView.We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
FPGA VENDOR AGNOSTIC TRUE RANDOM NUMBER GENERATOR
, 2008 This paper describes a solution for the generation of true random numbers in a purely digital fashion; making it suitable for any FPGA type, because no FPGA vendor specific features (e.g., like phase-locked loop) or external analog components are ...
Dries Schellekens +2 more
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Creep‐Induced Microstructural Evolution in an A2‐B2 Superalloy
Advanced Engineering Materials, EarlyView.A 27.3Ta‐27.3Mo‐27.3Ti‐8Cr‐10Al (at.%) refractory high‐entropy alloy with precipitation‐strengthened A2‐B2 microstructure was studied by creep tests at 1030°C, which demonstrate a transition in deformation mechanisms in the range of 100–150 MPa applied stress. This is associated with changes in dislocation–precipitate interactions. Relevant deformation
Liu Yang +10 more
wiley +1 more source