Cryptography in C and C++
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What Are the Problems with Embedded Linux?
What Are the Problems with Embedded Linux? Every Operating System Has Benefits and Drawbacks Linux is ubiquitous. It runs most internet servers, is inside Android* smartphones, and is used on millions of embedded systems that, in the past, ran Real-Time Operating Systems (RTOSes). Linux can (and should) be used were possible for embedded projects, but while it gives you extreme choice, it also presents the risk of extreme complexity. What, then, are the trade-offs between embedded Linux and an RTOS? In this article, we cover some key considerations when evaluating Linux for a new development: ■ Design your system architecture first ■ What is Linux? ■ Linux vs. RTOSes ■ Free software is about liberty—not price ■ How much does Embedded Linux cost? ■ Why pay for Embedded Linux? ■ Should you buy Embedded Linux or roll-your-own (RYO)? ■ To fork or not to fork? ■ Software patching ■ Open source licensing ■ Making an informed decision The important thing is not whether Linux or an RTOS is “the best,” but whether either operating system—or both together—makes the most technical and financial sense for your project. We hope this article helps you make an informed decision. Design Your System Architecture First It is important to design your system architecture first—before choosing either Linux or an RTOS—because both choices can limit architectural freedom. You may discover that aspects of your design require neither Linux nor an RTOS, making your design a strong candidate for a heterogeneous approach that includes one or more bare-metal environments (with possibly a Linux and/or RTOS environment as well). -
C-Style Strings
Introduction to printf and scanf A conceptual model of a C-string String handling functions in the C standard library String parsing functions Stuff to learn on your own C-Style Strings Mike Closson Dept of Computing Science University of Alberta Small modifications: Michael Buro Feb.2006 22nd February 2006 Mike Closson C-Style Strings Introduction to printf and scanf A conceptual model of a C-string String handling functions in the C standard library String parsing functions Stuff to learn on your own Introduction to printf, fprintf. Printing Strings: /* Print to standard output */ printf( "Hello, World!\n" ); /* Print to file associated with filepointer fp */ fprintf( fp, "Hello, World!\n" ); Mike Closson C-Style Strings Introduction to printf and scanf A conceptual model of a C-string String handling functions in the C standard library String parsing functions Stuff to learn on your own Flushing an I/O stream with fflush. For performance reasons, data written with the stream functions (fwrite, printf, fprintf) may not always appear on the terminal or file after the printf function returns. To force the data to be written, use the fflush function. printf("Enter your password: "); fflush( stdout ); Usually, fflush is not needed. Mike Closson C-Style Strings Introduction to printf and scanf A conceptual model of a C-string String handling functions in the C standard library String parsing functions Stuff to learn on your own Reading data with scanf. Data is written with printf, and data is read with scanf. char password[100]; printf( "Enter your password: " ); fflush( stdout ); if (scanf( "%99s", password ) != 1) // Error .. -
Cheat Sheets of the C Standard Library
Cheat Sheets of the C standard library Version 1.06 Last updated: 2012-11-28 About This document is a set of quick reference sheets (or ‘cheat sheets’) of the ANSI C standard library. It contains function and macro declarations in every header of the library, as well as notes about their usage. This document covers C++, but does not cover the C99 or C11 standard. A few non-ANSI-standard functions, if they are interesting enough, are also included. Style used in this document Function names, prototypes and their parameters are in monospace. Remarks of functions and parameters are marked italic and enclosed in ‘/*’ and ‘*/’ like C comments. Data types, whether they are built-in types or provided by the C standard library, are also marked in monospace. Types of parameters and return types are in bold. Type modifiers, like ‘const’ and ‘unsigned’, have smaller font sizes in order to save space. Macro constants are marked using proportional typeface, uppercase, and no italics, LIKE_THIS_ONE. One exception is L_tmpnum, which is the constant that uses lowercase letters. Example: int system ( const char * command ); /* system: The value returned depends on the running environment. Usually 0 when executing successfully. If command == NULL, system returns whether the command processor exists (0 if not). */ License Copyright © 2011 Kang-Che “Explorer” Sung (宋岡哲 <explorer09 @ gmail.com>) This work is licensed under the Creative Commons Attribution 3.0 Unported License. http://creativecommons.org/licenses/by/3.0/ . When copying and distributing this document, I advise you to keep this notice and the references section below with your copies, as a way to acknowledging all the sources I referenced. -
Confine: Automated System Call Policy Generation for Container
Confine: Automated System Call Policy Generation for Container Attack Surface Reduction Seyedhamed Ghavamnia Tapti Palit Azzedine Benameur Stony Brook University Stony Brook University Cloudhawk.io Michalis Polychronakis Stony Brook University Abstract The performance gains of containers, however, come to the Reducing the attack surface of the OS kernel is a promising expense of weaker isolation compared to VMs. Isolation be- defense-in-depth approach for mitigating the fragile isola- tween containers running on the same host is enforced purely in tion guarantees of container environments. In contrast to software by the underlying OS kernel. Therefore, adversaries hypervisor-based systems, malicious containers can exploit who have access to a container on a third-party host can exploit vulnerabilities in the underlying kernel to fully compromise kernel vulnerabilities to escalate their privileges and fully com- the host and all other containers running on it. Previous con- promise the host (and all the other containers running on it). tainer attack surface reduction efforts have relied on dynamic The trusted computing base in container environments analysis and training using realistic workloads to limit the essentially comprises the entire kernel, and thus all its set of system calls exposed to containers. These approaches, entry points become part of the attack surface exposed to however, do not capture exhaustively all the code that can potentially malicious containers. Despite the use of strict potentially be needed by future workloads or rare runtime software isolation mechanisms provided by the OS, such as conditions, and are thus not appropriate as a generic solution. capabilities [1] and namespaces [18], a malicious tenant can Aiming to provide a practical solution for the protection leverage kernel vulnerabilities to bypass them. -
Speech Recognition Systems: a Comparative Review
IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661,p-ISSN: 2278-8727, Volume 19, Issue 5, Ver. IV (Sep.- Oct. 2017), PP 71-79 www.iosrjournals.org Speech Recognition Systems: A Comparative Review Rami Matarneh1, Svitlana Maksymova2, Vyacheslav V. Lyashenko3 , Nataliya V. Belova 3 1(Department of Computer Science, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabi) 2(Department of Computer-Integrated Technologies, Automation and Mechatronics, Kharkiv National University of RadioElectronics, Kharkiv, Ukraine) 3(Department of Informatics, Kharkiv National University of RadioElectronics, Kharkiv, Ukraine) Abstract: Creating voice control for robots is very important and difficult task. Therefore, we consider different systems of speech recognition. We divided them into two main classes: (1) open-source and (2) close-source code. As close-source software the following were selected: Dragon Mobile SDK, Google Speech Recognition API, Siri, Yandex SpeechKit and Microsoft Speech API. While the following were selected as open-source software: CMU Sphinx, Kaldi, Julius, HTK, iAtros, RWTH ASR and Simon. The comparison mainly based on accuracy, API, performance, speed in real-time, response time and compatibility. the variety of comparison axes allow us to make detailed description of the differences and similarities, which in turn enabled us to adopt a careful decision to choose the appropriate system depending on our need. Keywords: Robot, Speech recognition, Voice systems with closed source code, Voice systems with open source code --------------------------------------------------------------------------------------------------------------------------------------- Date of Submission: 13-10-2017 Date of acceptance: 27-10-2017 --------------------------------------------------------------------------------------------------------------------------------------- I. Introduction Voice control will make your application more convenient for user especially if a person works with it on the go or his hands are busy. -
Speech-To-Text System for Phonebook Automation
Speech-to-Text System for Phonebook Automation Thesis submitted in partial fulfillment of the requirements for the award of degree of Master of Engineering in Computer Science and Engineering Submitted By Nishant Allawadi (Roll No. 801032017) Under the supervision of: Mr. Parteek Bhatia Assistant Professor COMPUTER SCIENCE AND ENGINEERING DEPARTMENT THAPAR UNIVERSITY PATIALA – 147004 June 2012 i ii Abstract In the daily use of electronic devices, generally, the input is given by pressing keys or touching the screen. There are a lot of devices which give output in the form of speech but the way of giving input by speech is very new and it has been seen in a few of our latest devices. The speech input technology needs a Speech-to-Text system to convert input speech into its corresponding text and speech output technology needs a Text-to- Speech system to convert input text into its corresponding speech. In the work presented, a Speech-to-Text system has been developed with a Text-to- Speech module to enable speech as input as well as output. A phonebook application has also been developed to add new contacts, update previously saved contacts, delete saved contacts and call the saved contacts. This phonebook application has been integrated with Speech-to-Text system and Text-to-Speech module to convert the phonebook application into a complete speech interactive system. The first chapter, the basic introduction of the Speech-to-Text system has been presented. The second chapter discusses about the evolution of the Speech-to-Text technology along with the existing Speech-to-Text systems. -
Multipurpose Large Vocabulary Continuous Speech Recognition Engine Julius
Multipurpose Large Vocabulary Continuous Speech Recognition Engine Julius rev. 3.2 (2001/12/03) Copyright (c) 1997-2000 Information-Technology Promotion Agency, Japan Copyright (c) 1991-2001 Kyoto University Copyright (c) 2000-2001 Nara Institute of Science and Technology All rights reserved. Translated from the original Julius-3.2-book by Ian Lane – Kyoto University Julius Julius is a high performance continuous speech recognition software based on word N-grams. It is able to perform recognition at the sentence level with a vocabulary in the tens of thousands. Julius realizes high-speed speech recognition on a typical desktop PC. It performs at near real time and has a recognition rate of above 90% for a 20,000-word vocabulary dictation task. The best feature of the Julius system is that it is multipurpose. By recombining the pronunciation dictionary, language and acoustic models one is able to build various task specific systems. The Julius code also is open source so one should be able to recompile the system for other platforms or alter the code for one's specific needs. Platforms currently supported include Linux, Solaris and other versions of Unix, and Windows. There are two Windows versions, a Microsoft SAPI 5.0 compatible version and a Windows DLL version. This documentation relates to the Unix version of Julius. For documentation on the Windows versions see the Julius for SAPI README (CSRC CD-ROM) (Japanese), or the Julius for SAPI homepage (Kyoto University) (Japanese). 1 Contacts/Links Contacts/Links Home Page: http://winnie.kuis.kyoto-u.ac.jp/pub/julius/ (Japanese) E-mail: [email protected] Developers Original System/Unix version: Akinobu Lee ([email protected]) Windows Microsoft SAPI version: Takashi Sumiyoshi Windows (DLL version): Hideki Banno 2 System Structure and Features System Structure The structure of the Julius speech recognition system is shown in the diagram below: N-gram language models and a HMM acoustic model are used. -
C Programming
C PROGRAMMING 6996 Columbia Gateway Drive Suite 100 Columbia, MD 21046 Tel: 443-692-6600 http://www.umbctraining.com C PROGRAMMING Course # TCPRG3000 Rev. 10/14/2016 ©2016 UMBC Training Centers 1 C PROGRAMMING This Page Intentionally Left Blank ©2016 UMBC Training Centers 2 C PROGRAMMING Course Objectives ● At the conclusion of this course, students will be able to: ⏵ Write non-trivial C programs. ⏵ Use data types appropriate to specific programming problems. ⏵ Utilize the modular features of the C languages. ⏵ Demonstrate efficiency and readability. ⏵ Use the various control flow constructs. ⏵ Create and traverse arrays. ⏵ Utilize pointers to efficiently solve problems. ⏵ Create and use structures to implement new data types. ⏵ Use functions from the C runtime library. ©2016 UMBC Training Centers 3 C PROGRAMMING This Page Intentionally Left Blank ©2016 UMBC Training Centers 4 C PROGRAMMING Table of Contents Chapter 1: Getting Started..............................................................................................9 What is C?..................................................................................................................10 Sample Program.........................................................................................................11 Components of a C Program......................................................................................13 Data Types.................................................................................................................14 Variables.....................................................................................................................16 -
C Programming Tutorial
C Programming Tutorial C PROGRAMMING TUTORIAL Simply Easy Learning by tutorialspoint.com tutorialspoint.com i COPYRIGHT & DISCLAIMER NOTICE All the content and graphics on this tutorial are the property of tutorialspoint.com. Any content from tutorialspoint.com or this tutorial may not be redistributed or reproduced in any way, shape, or form without the written permission of tutorialspoint.com. Failure to do so is a violation of copyright laws. This tutorial may contain inaccuracies or errors and tutorialspoint provides no guarantee regarding the accuracy of the site or its contents including this tutorial. If you discover that the tutorialspoint.com site or this tutorial content contains some errors, please contact us at [email protected] ii Table of Contents C Language Overview .............................................................. 1 Facts about C ............................................................................................... 1 Why to use C ? ............................................................................................. 2 C Programs .................................................................................................. 2 C Environment Setup ............................................................... 3 Text Editor ................................................................................................... 3 The C Compiler ............................................................................................ 3 Installation on Unix/Linux ............................................................................ -
Choosing System C Library
Choosing System C library Khem Raj Comcast Embedded Linux Conference Europe 2014 Düsseldorf Germany Introduction “God defined C standard library everything else is creation of man” Introduction • Standard library for C language • Provides primitives for OS service • Hosted/freestanding • String manipulations • Types • I/O • Memory • APIs Linux Implementations • GNU C library (glibc) • uClibc • eglibc – Now merged into glibc • Dietlibc • Klibc • Musl • bionic Multiple C library FAQs • Can I have multiple C libraries side by side ? • Can programs compiled with glibc run on uclibc or vice versa ? • Are they functional compatible ? • Do I need to choose one over other if I am doing real time Linux? • I have a baremetal application what libc options do I have ? Posix Compliance • Posix specifies more than ISO C • Varying degree of compliance What matters to you ? • Code Size • Functionality • Interoperability • Licensing • Backward Compatibility • Variety of architecture support • Dynamic Linking • Build system Codesize • Dietlibc/klibc – Used in really small setup e.g. initramfs • Bionic – Small linked into every process • uClibc – Configurable • Size can be really small at the expense of functionality • Eglibc – Has option groups can be ( < 1M ) License • Bionic – BSD/Apache-2.0 • Musl - MIT • Uclibc – LGPL-2.1 • Eglibc/Glibc – LGPL-2.1 Assigned to FSF • Dietlibc – GPLv2 • Klibc – GPLv2 • Newlib – some parts are GPLv3 Compliance • Musl strives for ISO/C and POSIX compliance No-mmu • uClibc supported No-mmu Distributions • Glibc is used in -
The Wavesurfer Automatic Speech Recognition Plugin
The WaveSurfer Automatic Speech Recognition Plugin Giampiero Salvi and Niklas Vanhainen KTH, School of Computer Science and Communication, Department of Speech Music and Hearing, Stockholm, Sweden fgiampi, [email protected] Abstract This paper presents a plugin that adds automatic speech recognition (ASR) functionality to the WaveSurfer sound manipulation and visualisation program. The plugin allows the user to run continuous speech recognition on spoken utterances, or to align an already available orthographic transcription to the spoken material. The plugin is distributed as free software and is based on free resources, namely the Julius speech recognition engine and a number of freely available ASR resources for different languages. Among these are the acoustic and language models we have created for Swedish using the NST database. Keywords: Automatic Speech Recognition, Free Software, WaveSurfer 1. Introduction Automatic Speech Recognition (ASR) is becoming an im- portant part of our lives, both as a viable alternative for humans-computer interaction, but also as a tool for linguis- tics and speech research. In many cases, however, it is trou- blesome, even in the language and speech communities, to have easy access to ASR resources. On the one hand, com- mercial systems are often too expensive and not flexible enough for researchers. On the other hand, free ASR soft- ware often lacks high quality resources such as acoustic and language models for the specific languages and requires ex- pertise that linguists and speech researchers cannot afford. In this paper we describe a plugin for the popular sound manipulation and visualisation program WaveSurfer1 (Sjolander¨ and Beskow, 2000) that attempts to solve the above problems. -
Speech Phonetization Alignment and Syllabification (SPPAS): a Tool for the Automatic Analysis of Speech Prosody Brigitte Bigi, Daniel Hirst
SPeech Phonetization Alignment and Syllabification (SPPAS): a tool for the automatic analysis of speech prosody Brigitte Bigi, Daniel Hirst To cite this version: Brigitte Bigi, Daniel Hirst. SPeech Phonetization Alignment and Syllabification (SPPAS): a tool for the automatic analysis of speech prosody. Speech Prosody, May 2012, Shanghai, China. pp.19-22. hal-00983699 HAL Id: hal-00983699 https://hal.archives-ouvertes.fr/hal-00983699 Submitted on 25 Apr 2014 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. SPeech Phonetization Alignment and Syllabification (SPPAS): a tool for the automatic analysis of speech prosody. Brigitte Bigi, Daniel Hirst Laboratoire Parole et Langage, CNRS & Aix-Marseille Université [email protected], [email protected] Abstract length, pitch and loudness of the individual sounds which make up an utterance”. [7] SPASS, SPeech Phonetization Alignment and Syllabifi- cation, is a tool to automatically produce annotations Linguists need tools for the automatic analysis of at which include utterance, word, syllable and phoneme seg- least these three prosodic features of speech sounds. In mentations from a recorded speech sound and its tran- this paper we concentrate on the tool for the automatic scription.