black box papers
car black box
An efficient data integrity scheme for preventing falsification of car black box
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Abstract:This paper propose an efficient scheme to enhance the security of vehicle black box. The proposed scheme can be used to prevent the falsification of black box data such as data forgery and modification. The proposed approach was tested using a commercial
Design and Implementation of Car Black Box with Collision Avoidance System using ARM
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Abstract:This paper is proposed to develop a low cost system which provides solution to the existing automotive control issues. This system has two main principle components namely Vehicle to Vehicle Collision Avoidance Unit (VVCAU) is used to avoid crashing
Forensic Analysis Technique of Car Black Box
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Abstract The 'Statistics of Disclosed Insurance Fraud in 2013'by the Korean Financial Supervisory Service reveals that the volume of car insurance frauds has increased by 21% between 2010 and 2012. Car insurance frauds account for 60% in all insurance frauds.
This book is inspired by one goal and one belief. Our goal is to provide a clear grasp of the foundational concepts in derivative-free and blackbox optimization, in order to push these areas into the mainstream of nonlinear optimization. Our belief is that these foundational
BLACKBOX : A new approach to the application of theorem proving to problem solving
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It has often been observed that the classical AI planning problem (that is, planning with complete and certain information) is a form of logical deduction. Because early attempts to use general theorem provers to solve planning problems proved impractical, research Blackbox optimization refers to problems where the structure of the objective and constraint functions cannot be exploited. This is often the case when their evaluation requires the execution of a (usually time-consuming) simulation using computational models that areThe mesh adaptive direct search (Mads) algorithm is designed for blackbox optimization problems subject to general inequality constraints. Currently, Mads does not support equalities, neither in theory nor in practice. The present work proposes extensions to treat
Snow water equivalent estimation using blackbox optimization
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Accurate measurements of snow water equivalent (SWE) is an important factor in managing water resources for hydroelectric power generation. SWE over a catchment area be estimated via kriging on measures obtained by snow monitoring devices positioned at
Blackbox composition of model transformations using domain-specific modelling languages
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In Model-Driven Engineering, multiple model transformations often have to be composed to produce a common result. One composition approach is to compose rules from existing transformations into one transformation, which generally requires the transformations to be
Blackbox JTAG reverse engineering
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Abstract JTAGs IEEE 1149.1 standard is a well-known method to access on-chip scan chains for testmode functionality. But a large part of the accessible test-modes are usually not documented. It will be shown that often these testmodes can be reverse-engineered by
Blackbox reversing of XSS filters
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A Sotirov- Proc. of RE-CON recon.cx Page 1. Blackbox Reversing of XSS Filters Alexander Sotirov alex@sotirov.net Recon 2008 Page 2. Web applications are the future Reversing web apps ? blackbox reversing ? very different environment and tools Cross-site scripting (XSS) ? the strcpy of web app development
Riss 4.27 BlackBox
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The solver RISS BlackBox uses the highly configurable SAT solver RISS in version 4.27 as the base solver and selects a configuration per input formula. For this process, a large set of CNF features is computed. Then, a set of random decision forests, one forest for each
Modeling an augmented Lagrangian for improved blackbox constrained optimization
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Constrained blackbox optimization is a difficult problem, with most approaches coming from the mathematical programming literature. The statistical literature is sparse, especially in addressing problems with nontrivial constraints. This situation is unfortunate because
Fast blackbox optimization: Iterated local search and the strategy of powell
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Search turned out to be exceptionally successful. The question arises: is the Iterated Local Search heuristic also able to improve the optimization process in real-valued solution spaces This paper introduces a hybrid meta-heuristic based on Iterated Local Search and
MODELING AND AUTOMATED BLACKBOX REGRESSION TESTING OF WEB APPLICATIONS.
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Web applications are nowadays at the heart of the business world. All corporate companies and big institutions have very busy e-commerce web sites that host a major part of their businesses. With this great emergence of web applications, techniques for maintaining their
Flexible blackbox : Preliminary results
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We argued in our Flexible Graphplan (FGP) work that the classical definition of the planning problem is too rigid to capture the full subtlety of many real problems. In light of this, we provided a new flexible definition and described a solution strategy based upon the
BlackBox as a DTN device
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Disruption/Delay Tolerant Networks (DTNs) have been proposed as a solution for intermittent connectivity between two nodes that wants to communicate without having path at the time of communication. A bundle layer is added into DTN nodes to support the
When random search is not enough: Sample-efficient and noise-robust blackbox optimization of rl policies
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Interest in derivative-free optimization (DFO) and evolutionary strategies (ES) has recently surged in the Reinforcement Learning (RL) community, with growing evidence that they match state of the art methods for policy optimization tasks. However, blackbox DFO
Cube attacks on non- blackbox polynomials based on division property (full version)
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The cube attack is a powerful cryptanalytic technique and is especially powerful against stream ciphers. Since we need to analyze the complicated structure of a stream cipher in the cube attack, the cube attack basically analyzes it by regarding it as a blackbox . Therefore
Ranking suggestions for blackbox interactive translation prediction systems with multilayer perceptrons
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The objective of interactive translation prediction (ITP), a paradigm of computer-aided translation, is to assist professional translators by offering context-based computer- generated suggestions as they type. While most state-of-the-art ITP systems are tightly
Mixed methods research: An airplane without a blackbox
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The purpose of this paper is twofold, first is to support the argument that, Mixed Methods Research (MMR) has no clear philosophy and finally, to expose other gaps that exist within MMR. Philosophy is important for any movement to succeed and key questions are always
An Evaluation of Blackbox Graph Planning
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In this paper, we investigate a satisfiability-based approach to solving STRIPS planning problems. Traditionally, popular algorithms for STRIPS planning problems include a stable of total-order planners, such as Prodigy, and partial-order planners, such as UCPOP. Blum
EURAMIS: the Ultimate Multilingual Blackbox
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1 Background ne of the fundamentals of the European unification is the mutual respect of cultural diversity between Member States, of which language is a most prominent representative. At the same time, with the Babel-tower story in mind, it is also a matter of -SOFTWARE SALES SERVICE-https://www.engpaper.net--