Sound effects with AUditory syntaX—A high-level scripting language for sound processing

2014 ◽  
Vol 136 (4) ◽  
pp. 2271-2271
Author(s):  
Bomjun J. Kwon
Keyword(s):  
Sound Processing ◽  
Sound Effects ◽  
Scripting Language ◽  
High Level

Reproducing the Fail from a Production Memory ATE on a Logic FA Tester

2018 ◽  
Author(s):  
Nivesh Rai ◽  
Hans Link
Keyword(s):  
Test Pattern ◽  
Regular Structure ◽  
Pattern Generator ◽  
Standard Test ◽  
Test Program ◽  
Scripting Language ◽  
Time Basis ◽  
High Level ◽  
Pin Configuration

Abstract We present a case study where an APG (Algorithmic Pattern Generator) based pattern from a memory tester is being converted to run on a logic FA tester. Due to the regular structure of memory patterns, the APG patterns are written in a high-level based language and converted on a real-time basis to be executed on the hardware. A logic analyzer is used to capture the test pattern that is seen by the Device Under Test (DUT). The captured test pattern is then converted to the Standard Test Interface Language (STIL) based pattern format with the help of a scripting language. An existing test program is modified to include the Timing, Levels, Specs and the pin configuration to adapt to the DUT. The failing condition for FA could be exactly reproduced after running the pattern on the FA tester and can be made as a generic solution for similar exercises.

scholarly journals pynoddy 1.0: an experimental platform for automated 3-D kinematic and potential field modelling

2016 ◽  
Vol 9 (3) ◽  
pp. 1019-1035 ◽  
Author(s):  
J. Florian Wellmann ◽  
Sam T. Thiele ◽  
Mark D. Lindsay ◽  
Mark W. Jessell
Keyword(s):  
Potential Field ◽  
Kinematic Model ◽  
Computational Cost ◽  
Future Research ◽  
Parameter Uncertainties ◽  
Fundamental Information ◽  
Python Scripting ◽  
Kinematic Modelling ◽  
Scripting Language ◽  
High Level

Abstract. We present a novel methodology for performing experiments with subsurface structural models using a set of flexible and extensible Python modules. We utilize the ability of kinematic modelling techniques to describe major deformational, tectonic, and magmatic events at low computational cost to develop experiments testing the interactions between multiple kinematic events, effect of uncertainty regarding event timing, and kinematic properties. These tests are simple to implement and perform, as they are automated within the Python scripting language, allowing the encapsulation of entire kinematic experiments within high-level class definitions and fully reproducible results. In addition, we provide a link to geophysical potential-field simulations to evaluate the effect of parameter uncertainties on maps of gravity and magnetics. We provide relevant fundamental information on kinematic modelling and our implementation, and showcase the application of our novel methods to investigate the interaction of multiple tectonic events on a pre-defined stratigraphy, the effect of changing kinematic parameters on simulated geophysical potential fields, and the distribution of uncertain areas in a full 3-D kinematic model, based on estimated uncertainties in kinematic input parameters. Additional possibilities for linking kinematic modelling to subsequent process simulations are discussed, as well as additional aspects of future research. Our modules are freely available on github, including documentation and tutorial examples, and we encourage the contribution to this project.

scholarly journals Voice Assistant based Telecommunication System (Tele-Bot)

2020 ◽  
Vol 9 (4) ◽  
pp. 1463-1465
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Programming Language ◽  
Voice Recognition ◽  
Telecommunication System ◽  
Python Programming Language ◽  
Artificial Intelligence Technology ◽  
Scripting Language ◽  
High Level ◽  
Python Programming

In this research we are aiming to plan, develop and deploy a model which is based on voice recognition. We trying to inculcate algorithm which are based on machine learning and also using artificial intelligence technology. We are learning the stages of voice recognition technology, depth of its working accuracy, probabilistic use cases, and system friendliness with the help of Python Programming Language. In order to increase the efficiency of system we are going to take response time into consideration which is crucial requirement into current environment. Python is easy to learn, High Level, Power full programming Scripting language. Fully developed voice recognition modules are to be used for development of our research oriented topic

RiskMan

2011 ◽  
pp. 356-376
Author(s):  
Manolya Kavakli
Keyword(s):  
Virtual Reality ◽  
Police Officers ◽  
Virtual Reality Training ◽  
Multi Agent Systems ◽  
Game Engine ◽  
Training Systems ◽  
System A ◽  
Multi Agent ◽  
Scripting Language ◽  
High Level

The purpose of this chapter is to discuss the use of multi-agent systems to develop virtual reality training systems. We first review these systems and then investigate the architectures used. We demonstrate an example of our own (RiskMan) and then discuss the advantages and drawbacks of using multi-agent agent approaches in the development of virtual reality training systems. The chapter describes the system architecture of a multi-agent system for risk management (RiskMan) to help train police officers to handle high-risk situations. RiskMan has been developed using a high-level scripting language of a game engine, Unreal Tournament 2004. The major modules are a scenario-based expert system, a narrative engine, a game engine, and a graphics engine. The system integrates a simulation agent, trainee agent, communication agent, interface agent, and scripted agents communicating using games technology.

scholarly journals IMPLEMENTING FUNCTIONAL MODULARITY FOR PROCESSING OF GENERAL PHOTOGRAMMETRIC DATA WITH THE DAMPED BUNDLE ADJUSTMENT TOOLBOX (DBAT)

2019 ◽  
Vol XLII-2/W17 ◽  
pp. 69-75 ◽  
Author(s):  
N. Börlin ◽  
A. Murtiyoso ◽  
P. Grussenmeyer
Keyword(s):  
Open Source ◽  
Bundle Adjustment ◽  
Fine Tuning ◽  
Simple Extension ◽  
Fine Grained ◽  
File Formats ◽  
Wide Range ◽  
Extensible Markup ◽  
Scripting Language ◽  
High Level

Abstract. The Damped Bundle Adjustment Toolbox (DBAT) is a free, open-source, toolbox for bundle adjustment. The purpose of DBAT is to provide an independent, open-source toolkit for statistically rigorous bundle adjustment computations. The capabilities include bundle adjustment, network analysis, point filtering, forward intersection, spatial intersection, plotting functions, and computations of quality indicators such as posterior covariance estimates and parameter correlations. DBAT is written in the high-level Matlab language and includes several processing example files. The input formats have so far been restricted to PhotoModeler export files and Photoscan (Metashape) native files. Fine-tuning of the processing has so far required knowledge of the Matlab language.This paper describes the development of a scripting language based on the XML (eXtensible Markup Language) language that allow the user a fine-grained control over what operations are applied to the input data, while keeping the needed programming skills at a minimum. Furthermore, the scripting language allows a wide range of input formats. Additionally, the XML format allows simple extension of the script file format both in terms of adding new operations, file formats, or adding parameters to existing operations. Overall, the script files will in principle allow DBAT to process any kind of photogrammetric input and should extend the usability of DBAT as a scientific and teaching tool for photogrammetric computations.

scholarly journals CPPE: An Open-Source C++ and Python Library for Polarizable Embedding

2019 ◽  
Author(s):  
Maximilian Scheurer ◽  
Peter Reinholdt ◽  
Erik Kjellgren ◽  
Jógvan Magnus Haugaard Olsen ◽  
Andreas Dreuw ◽  
...  
Keyword(s):  
Rapid Prototyping ◽  
Open Source ◽  
Quantum Chemical ◽  
Programming Effort ◽  
Scripting Language ◽  
Computational Spectroscopy ◽  
High Level ◽  
Polarizable Embedding ◽  
The Way

We present a modular open-source library for polarizable embedding (PE) named CPPE. The library is implemented in C++, and it additionally provides a Python interface for rapid prototyping and experimentation in a high-level scripting language. Our library integrates seamlessly with existing quantum chemical program packages through an intuitive and minimal interface. Until now, CPPE has been interfaced to three packages, Q-Chem, Psi4, and PySCF. Furthermore, we show CPPE in action using all three program packages for a computational spectroscopy application. With CPPE, host program interfaces only require minor programming effort, paving the way for new combined methodologies and broader availability of the PE model.<br>

scholarly journals CPPE: An Open-Source C++ and Python Library for Polarizable Embedding

2019 ◽  
Author(s):  
Maximilian Scheurer ◽  
Peter Reinholdt ◽  
Erik Kjellgren ◽  
Jógvan Magnus Haugaard Olsen ◽  
Andreas Dreuw ◽  
...  
Keyword(s):  
Rapid Prototyping ◽  
Open Source ◽  
Quantum Chemical ◽  
Programming Effort ◽  
Scripting Language ◽  
Computational Spectroscopy ◽  
High Level ◽  
Polarizable Embedding ◽  
The Way

We present a modular open-source library for polarizable embedding (PE) named CPPE. The library is implemented in C++, and it additionally provides a Python interface for rapid prototyping and experimentation in a high-level scripting language. Our library integrates seamlessly with existing quantum chemical program packages through an intuitive and minimal interface. Until now, CPPE has been interfaced to three packages, Q-Chem, Psi4, and PySCF. Furthermore, we show CPPE in action using all three program packages for a computational spectroscopy application. With CPPE, host program interfaces only require minor programming effort, paving the way for new combined methodologies and broader availability of the PE model.<br>

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