Linköping Electronic Conference Proceedings
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Evaluating Deep Learning Techniques for Known-Plaintext Attacks on the Complete Columnar Transposition Cipher
This paper examines whether deep neural networks (DNN) can learn knownplaintext attacks on plaintext-ciphertextpairs, that were created by encrypting with complete columnar transposition. We propose a new algorithm that extends pure DNN-based prediction with additional post-processing steps to further enhance key prediction quality. Our approach is easily extensible and currently supports key lengths from 2 to 20 characters. Each key length has been empirically evaluated with plain-/ciphertextpairs of different lengths. For plain- and ciphertexts with a length of five times the key length, our algorithm achieves a success rate of 96% which is, to the best of our knowledge, a new state of the art on deep-learning-based known-plaintext attacks against columnar transposition
A Historical View of Signs and Sign Languages as a Potential for Secret Communication in Two Worlds: In Ottoman Courts and Catholic Religious Orders
The Duke August Library in Wolfenbüttel, Germany, preserves a 1679 French-Turkish manuscript with an intriguing (translated) title: “Silent Letters, or a Method of Making Love in Turkey without Knowing How to Read or Write.“ In an explanatory section the author details the Turkish system of sending so-called “Selam”- messages, encoded according to a welldefined system. This manuscript was used in the publication of a 1688 novelette, Histoire Galante, where such exchanges enabled two young lovers to rekindle a relationship in the harem where access was forbidden to men. They finally resort to the sign language that was in general use among the Sultans’ deaf-mute servants. The episode leads to a discussion of the development of sign language at the Ottoman courts, which was also used for cryptological purposes. A contrasting overview shows the development of signs and sign languages in French and central European monasteries from the 11th/12th centuries onwards. Around 1600, these early sign languages led to the creation of signed communication with deaf-mute members of the Spanish nobility; such systems ultimately formed the core of modern instruction for the deaf-mute: A closed system of communication had become a method of exchange that opened up the world to men and women born without hearing
Dynamic Simulation of an Oxygen-Hydrogen Combustion Turbine System Using Modelica
Introducing hydrogen power generation in the power industry may contribute to achieve carbon neutrality by 2050. Hydrogen mixed-fuel gas turbines are available, and pure hydrogen-fueled gas turbines are being developed. Meanwhile, power generation systems based on oxygen–hydrogen combustion turbines have been devised. Such system uses hydrogen as fuel and oxygen as oxidizer, yielding only water vapor as the byproduct of combustion. In addition, as the system performs a semi-closed cycle involving the Brayton and Rankine cycles, high efficient zero-emission power generation is expected with higher thermal efficiency than that of the combined cycle in conventional gas turbines. Basic technologies for oxygen-hydrogen combustion turbines in power generation systems are being developed in Japan as part of the research and development at NEDO for hydrogen utilization. In this study, a dynamic model of the entire system for a 1400 °C-class rationalization system was constructed using a Modelica-based tool developed by the Central Research Institute of Electric Power Industry, Japan. The dynamic behavior considering preliminary load following control was then characterized based on simulation results.
Note: A second version of this paper was uploaded on 2022-11-25. A rebuttal to the reviewer was accidentally included in the first version and has been removed in the second version. Since this was never intended to be included and irrelevant to the article, the original version has been removed
Techno-economic assessment of an industrial project towards carbon neutrality
This paper describes the application of the system simulation platform Modelon Impact for techno-economical assessment of energy projects towards carbon neutrality. The control co-design approach applied in the work allows for rapid assessment of various technology options without the need for deriving complex control laws for the considered assets. The approach is here applied on an industrial use case where the goal is to identify the technology options that minimize the total cost of ownership while achieving carbon neutrality
High-Fidelity Multiphysics FCEV bus study with detailed HVAC, cabin, and Hydrogen Fuel Cell models
Hydrogen Fuel Cells are potentially a viable zero emission propulsion technology for heavy commercial vehicles, like buses. This paper presents a detailed proof of concept Dymola model of an FCEV bus, built using the VeSyMA suite of libraries. Particular attention is paid to the use the high-fidelity Hydrogen Library from Dassault Systèmes for the fuel cell. Representative physical ancillary systems, coupled with detailed thermochemical modelling, enables detailed transient effects on fuel cell performance to be captured. A multizonal cabin model with independent zonal thermal properties, combined with a multi-physics HVAC model provide a realistic current drain on the drive battery. Such detail is important in understanding accurately the conditions the Fuel Cell will experience during operation. A model such as this has many real-world applications, such as component design and selection; concept evaluation; Fuel Cell degradation, maintenance, and durability analysis; accurate range estimation and controller development
[Industrial Paper] Performance Measurement and Finding Challenges in Using FMUs to Perform Scenario-Based Testing in a Cloud Environment
This paper describes the implementation of the scenario-based testing, a test method for autonomous driving software, by coupling a plant model described using MATLAB/Simulink with another plant model provided as functional mock-up unit (FMU) on a cloud platform. During the implementation of plant models into the cloud environment using the functional mock-up interface (FMI), there are problems and countermeasure challenges were identified. In addition, the impacts of integrating multiple models on simulation time by parallelizing test cases are measured
The instructional effectiveness of automatically generated exercises for learning French grammatical gender: preliminary results
Research into Automatic Exercise Generation (AEG) contributes new tools aimed at reducing the barrier to creating practice material, but few have been deployed in actual instruction with real learners. The present study extends previous work by employing AEG technology in instruction with L2 learners to evaluate its pedagogical effectiveness. Thirty-two second language learners of French were assigned to either a treatment condition, who practised with generated exercises, or a control condition that did no extra work. Both groups completed pre-, post-, and delayed post-tests. Participants in the treatment condition also completed questionnaires that elicited data on their in-practice emotions and the situations in which they arose. Our preliminary results suggest that AEG-based instruction can be pedagogically effective and support positive learning experiences, help to identify aspects of the instruction that could be improved, and suggest that a peer review mechanism could have an important role in future CALL platforms that use generated exercises
Generating and authoring high-variability exercises from authentic texts
Integrating adaptivity into Task-Based Language Teaching requires exercises that transmit a specific content but whose complexity is adjusted to the learner’s level. Thus, exercises of varying complexity based on the same text are needed. Revising generated exercise variants is time consuming and redundant where the same underlying linguistic annotations can be used for exercise generation. We present a fully implemented approach to generate generalized exercise specifications as an interim step before turning them into concrete exercises, as well as an interface for efficient reviewing of the specifications
Colonnele Frank's Indecipherable Chiffre
Colonnele Frank's 23-folio-long French-language description of what he calls a "chiffre indéchiffrable" survived in the cipher collection of Leopold, grand duke of Tuscany, and Holy Roman Emperor. The author lists the usual weaknesses of the ciphers and offers his technique to remedy them. It is a polyalphabetic method helped by a circular instrument, by no means a fundamental invention in the late 18th century. What makes it relevant is that it is a relatively early practical application of the polyalphabetic method, where not only letters of the alphabet, but even whole words are manipulated. Not much is known about the colonel author, but on the basis of the document, it becomes clear that he was a real user of military cryptography
Deciphering a Letter from the French Wars of Religion
A collection held at the Biblioth`eque Nationale de France contains the deciphered version of messages related to negotiations of the Catholic League, Henry III’s enemy, with Spain and the Catholic Church in Rome. At least one of those messages was deciphered by Vi`ete. Two other letters in the collection contain enciphered passages without the corresponding plaintext. Using computerized techniques, the author deciphered one of them, from Claude de Bauffremont, baron de Sennecey, ambassador of the League in Rome. In this article, the author describes the process of recovering the key, and of deciphering most parts of the letter, which includes a report of Sennecey’s activities in Rome. The cipher used to encode this letter turnout out to be a homophonic cipher with a relatively high number of homophones, making its codebreaking somehow challenging