scholarly journals A Practical Second-Order Fault Attack against a Real-World Pairing Implementation

Author(s):  
Johannes Blomer ◽  
Ricardo Gomes da Silva ◽  
Peter Gunther ◽  
Juliane Kramer ◽  
Jean-Pierre Seifert
Keyword(s):  
2014 ◽  
Vol 1 (1) ◽  
pp. 7 ◽  
Author(s):  
Hugo Fjelsted Alrøe ◽  
Egon Noe

<p>Cross-disciplinary use of science is needed to solve complex, real-world problems, but carrying out scientific research with multiple very different disciplines is in itself a non-trivial problem. Perspectives matter. In this paper we carry out a philosophical analysis of the perspectival nature of science, focusing on the synchronic structure of scientific perspectives across disciplines and not on the diachronic, historical structure of shifting perspectives within single disciplines that has been widely discussed since Kuhn and Feyerabend. We show what kinds of cross-disciplinary disagreement to expect due to the perspectival structure of science, suggest how to handle different scientific perspectives in cross-disciplinary work through perspectives of a second order, and discuss some fundamental epistemic differences between different types of science.</p>


Author(s):  
Peter Avitabile ◽  
Tracy Van Zandt

Most of the student’s educational exposure is to well behaved, deterministic problems with known results. Most courses expose students to material in compartmentized modules (chapters of a book) with exercises/problems (at the end of the chapter) where the majority of the material is readily found in the compartmentized module. Unfortunately, real world problems never fit this simple mold. Laboratory is the perfect place for students to become exposed to real world problems and solutions to those problems. Laboratory is the perfect place to put all the student’s knowledge of basic STEM material to the test. However, many times the real world measurement is much more complicated than the textbook problems and students often struggle with methods and procedures to solve a given problem (with no answer at the back of the book). This is true for a mechanical measurement of a simple second order mass, spring, dashpot system which is measured with displacement and acceleration instruments in an existing mechanical engineering laboratory exercise. The measurement is plagued with measurement errors, drift, bias, digital data acquisition amplitude/quantization errors, etc. In order to understand the basic underlying measurement and associated “problems” with the measurement, a simple simulation model was developed. The simulation model allows the students to define a basic second order system and then add different types of “problems” (drift, bias, quantization, noise, etc) to the measurement to see their effects. The simulation module further allows the student to “cleanse” the distorted data using common measurement tools such as coupling, filtering, smoothing, etc. to understand the effects of processing the data. The simulation model is built using Simulink/MATLAB and allows a simple GUI to modify the model, the “problems” added to the data and the “cleansing” of the data, to obtain a better understanding of the problem and tools to process the data. The simulation model is presented and discussed in the paper. Several data sets are presented to illustrate the simulation module.


2003 ◽  
Vol 35 (03) ◽  
pp. 603-613 ◽  
Author(s):  
Karsten Koch ◽  
Joachim Ohser ◽  
Katja Schladitz

A spectral theory for stationary random closed sets is developed and provided with a sound mathematical basis. The definition and a proof of the existence of the Bartlett spectrum of a stationary random closed set as well as the proof of a Wiener-Khinchin theorem for the power spectrum are used to two ends. First, well-known second-order characteristics like the covariance can be estimated faster than usual via frequency space. Second, the Bartlett spectrum and the power spectrum can be used as second-order characteristics in frequency space. Examples show that in some cases information about the random closed set is easier to obtain from these characteristics in frequency space than from their real-world counterparts.


2020 ◽  
Author(s):  
Xiaoyang Yu

The first-order change is the change of the state of a physical object (or pattern) which is governed by the physical laws (or rules). The second-order change is the change of the state of a physical object (or pattern) which breaks the physical laws (or rules), so it is impossible in real world. In Conway’s Game of Life, within a pattern (pattern-A), a deterministic algorithm (algorithm-A) is used to solve a problem of the real world. (Actually, this problem will be automatically solved by the first-order change.) Inside algorithm-A, a model (model-AW) is created to represent the real world, and a second-order change can be applied to model-AW. If algorithm-A realized itself to be a deterministic algorithm inside a pattern, and realized that a second-order change is impossible to the real world, while a second-order change is possible to its model of the real world (model-AW), then algorithm-A can distinguish the real world and its model (model-AW) conceptually through this difference. The physical interactions among any number of elementary particles are governed by physical laws. If the time in our universe is discrete, our universe is a stochastic cellular automaton, and each generation is computed out based on the precedent generation and updating rules; let us call this computation the first-order computation. Conscious experience and the feeling of free will, are the results of the first-order computation; they have no impact to the first-order computation. Due to the completely subjective nature of the conscious experience, it’s impossible to reach any agreement on the nature of the conscious experience between any two individuals.


Author(s):  
John Darzentas ◽  
Jenny Siobhane Darzentas

The purpose of this paper is twofold. Firstly, it seeks to use a practical real-world example to demonstrate the power of a systems thinking perspective in design, and more specifically in the design of services. It makes use of the paradigm of e-accessibility, in the application domain of publicly available self-services. Secondly, the benefits of this perspective will be discussed, through some theoretical tenets of systems thinking, such as the use of emerging properties, the law of requisite variety and notions of second order cybernetics, in terms of the richness that they offer to the conceptualisation and praxis of design in general, and service design in particular. Finally, we speculate on the implications of systems thinking to question the nature of the interdisciplinarity and even transdisciplinarity of design.


Utilitas ◽  
2007 ◽  
Vol 19 (2) ◽  
pp. 220-242 ◽  
Author(s):  
JEFFREY BRAND-BALLARD

Principle monists believe that our moral duties, such as fidelity and non-maleficence, can be justified in terms of one basic moral principle. Principle pluralists disagree, some suggesting that only an excessive taste for simplicity or a desire to mimic natural science could lead one to endorse monism. InIdeal Code, Real World(Oxford, 2000), Brad Hooker defends a monist theory, employing the method of reflective equilibrium to unify the moral duties under a version of rule consequentialism. Hooker's arguments have drawn powerful criticisms from pluralists such as Alan Thomas, Phillip Montague and Philip Stratton-Lake. Against these critics, I argue that Hooker's monism enjoys certain practical advantages associated with the simplicity of a single basic principle. These advantages are often overlooked because they appear primarily in cases of second-order deliberation, in which one must decide whether our basic moral duties support a certain derivative duty. I argue that these advantages of monism over pluralism are analogous to the advantages that generalists claim over moral particularism. Because pluralists are generalists, I conclude that they are in an awkward dialectical position to dismiss Hooker's monism for the reasons they usually offer.


10.29007/xlvx ◽  
2018 ◽  
Author(s):  
Janice Ayog ◽  
Georges Kesserwani

This paper presents a reformulation of the 2D second-order discontinuous Galerkin scheme (2D DG2) which is more efficient and stable for realistic simulation of hydrodynamics. This modified scheme is formulated based on a local linear solution spanned by a set of local coefficients using a newly proposed cell stencil. The results show that the reformulated second-order discontinuous Galerkin scheme performs acceptably well in predicting shock propagation. The modified scheme is designed to be conservative not only for the average coefficients but also the slope coefficients, which is necessary to ensure robustness based on the well-balanced property under the lake at rest hypothesis. Our preliminary findings reveal a great potential from adopting the proposed 2D DG2 reformulation as a basis for real-world flood modelling applications.


2002 ◽  
Vol 25 (2) ◽  
pp. 182-183 ◽  
Author(s):  
Hedy Amiri ◽  
Chad J. Marsolek

According to Pylyshyn, depictive representations can be explanatory only if a certain kind of first-order isomorphism exists between the mental representations and real-world displays. What about a system with second-order isomorphism (similarities between different mental representations corresponding with similarities between different real-world displays)? Such a system may help to address whether “depictive” representations contribute to the visual nature of imagery.


2021 ◽  
Vol 15 (3) ◽  
pp. 1-18
Author(s):  
Sezin Kircali Ata ◽  
Yuan Fang ◽  
Min Wu ◽  
Jiaqi Shi ◽  
Chee Keong Kwoh ◽  
...  

Real-world networks often exist with multiple views, where each view describes one type of interaction among a common set of nodes. For example, on a video-sharing network, while two user nodes are linked, if they have common favorite videos in one view, then they can also be linked in another view if they share common subscribers. Unlike traditional single-view networks, multiple views maintain different semantics to complement each other. In this article, we propose M ulti-view coll A borative N etwork E mbedding (MANE), a multi-view network embedding approach to learn low-dimensional representations. Similar to existing studies, MANE hinges on diversity and collaboration—while diversity enables views to maintain their individual semantics, collaboration enables views to work together. However, we also discover a novel form of second-order collaboration that has not been explored previously, and further unify it into our framework to attain superior node representations. Furthermore, as each view often has varying importance w.r.t. different nodes, we propose MANE , an attention -based extension of MANE, to model node-wise view importance. Finally, we conduct comprehensive experiments on three public, real-world multi-view networks, and the results demonstrate that our models consistently outperform state-of-the-art approaches.


2011 ◽  
Vol 474-476 ◽  
pp. 1012-1018 ◽  
Author(s):  
Hui Li

Gearbox vibrations are random cyclostationary signals which are a combination of periodic and random processes due to the machine’s rotation cycle and interaction with the real world. The combinations of such components are best considered as cyclostationary. This paper discusses which second order cyclostationary statistics should be used for fault diagnosis of gear crack. The second order cyclostationary statistical methods are firstly introduced and then applied to fault diagnosis of gear crack. This approach is capable of completely extracting the characteristic fault frequencies related to the defect. Experiment results show that the second order cyclostationary statistics is powerful and effective in feature extracting and fault detecting for gearbox. The experimental result shows that the second order cyclostationary statistics can effectively diagnosis gear localized crack fault.


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