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End-to-End Lip-Reading Open Cloud-Based Speech Architecture

SENSORS 2022年第8期22卷 2938页

作者： Jeon, Sanghun Kim, Mun Sang Gwangju Inst Sci & Technol GIST Sch Integrated Technol Ctr Healthcare Robot Gwangju 61005 South Korea

Deep learning technology has encouraged research on noise-robust automatic speech recognition (ASR). The combination of cloud computing technologies and artificial intelligence has significantly improved the performance of open cloud-based speech recognition application programming interfaces (OCSR APIs). Noise-robust ASRs for application in different environments are being developed. This study proposes noise-robust OCSR APIs based on an end-to-end lip-reading architecture for practical applications in various environments. Several OCSR APIs, including Google, Microsoft, Amazon, and Naver, were evaluated using the Google Voice Command Dataset v2 to obtain the optimum performance. Based on performance, the Microsoft API was integrated with Google's trained word2vec model to enhance the keywords with more complete semantic information. The extracted word vector was integrated with the proposed lip-reading architecture for audio-visual speech recognition. Three forms of convolutional neural networks (3D CNN, 3D dense connection CNN, and multilayer 3D CNN) were used in the proposed lip-reading architecture. Vectors extracted from API and vision were classified after concatenation. The proposed architecture enhanced the OCSR API average accuracy rate by 14.42% using standard ASR evaluation measures along with the signal-to-noise ratio. The proposed model exhibits improved performance in various noise settings, increasing the dependability of OCSR APIs for practical applications.

关键词： audio-visual speech recognition lip-reading application programming interface multi-modal interaction deep neural networks

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Informační systém skautského oddílu s využitím API webové galerie

Informační systém skautského oddílu s využitím API we...

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作者： Vaněk, Petr Brno University of Technology

V této práci je popsán návrh a realizace informačního systému skautského oddílu, který pro správu fotografií využívá aplikačně programové rozhran&... 详细信息

V této práci je popsán návrh a realizace informačního systému skautského oddílu, který pro správu fotografií využívá aplikačně programové rozhraní. Systém uživatelům poskytuje zejména ucelenou správu komponent, příspěvků, akcí a fotografií. Jsou představeny vybrané služby pro správu alb a fotografií, které ve své specifikaci nabízejí využití jejich API. Vybranými službami jsou Picasa Web Albums, SkyDrive a Rajč***. Návrh aplikace zahrnuje celkovou architekturu systému a návrh databáze. Práce dále obsahuje implementaci systému s využitím API zvolené služby a technologiemi PHP, MySQL či JavaScript.

关键词： informační systém skautského oddílu aplikačně programové rozhraní API webová fotogalerie Picasa Web Albums Skydrive Rajč*** PHP MySQL JavaScript information system of scout troop application programming interface API web gallery Picasa Web

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Využití ovládání domácích spotřebičů hlasem

Využití ovládání domácích spotřebičů hlasem

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作者： Bubla, Lukáš Brno University of Technology

Bakalářská práce je zaměřena na domácí automatizaci, konkrétně na ovládání hlasovými pokyny. Popisuje způsoby komunikace a ovládání automatizovaný... 详细信息

Bakalářská práce je zaměřena na domácí automatizaci, konkrétně na ovládání hlasovými pokyny. Popisuje způsoby komunikace a ovládání automatizovaných soustav, a především problematiku počítačového rozpoznávání řeči pomocí různých metod. Zobrazuje konkrétní výrobek pro hlasové ovládání, vyvinutý českou společností Elko ep, s.r.o., dále pak v krátkosti nahlíží do problematiky ovládání gesty. V závěru práce porovnává výrobek od společnosti Elko ep, s.r.o. se zahraničními výrobky jiných společností a diskutuje výhody a nevýhody ovládání hlasem či gesty.

关键词： Automatizované soustavy rozpoznání řeči komunikační protokoly API domácí automatizace hlasové ovládání Automated systems speech recognition communication protocols API application programming interface home automation voice control Text

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Identifying cancer mutation targets across thousands of samples: MuteProc, a high throughput mutation analysis pipeline

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BMC BIOINFORMATICS 2013年第1期14卷 1-6页

作者： Khodabakhshi, Alireza Hadj Fejes, Anthony P. Birol, Inanc Jones, Steven J. M. BC Canc Agcy Genome Sci Ctr Vancouver BC V5Z 4S6 Canada

Background: In the past decade, bioinformatics tools have matured enough to reliably perform sophisticated primary data analysis on Next Generation Sequencing (NGS) data, such as mapping, assemblies and variant calling, however, there is still a dire need for improvements in the higher level analysis such as NGS data organization, analysis of mutation patterns and Genome Wide Association Studies (GWAS). Results: We present a high throughput pipeline for identifying cancer mutation targets, capable of processing billions of variations across thousands of samples. This pipeline is coupled with our Human Variation Database to provide more complex down stream analysis on the variations hosted in the database. Most notably, these analysis include finding significantly mutated regions across multiple genomes and regions with mutational preferences within certain types of cancers. The results of the analysis is presented in HTML summary reports that incorporate gene annotations from various resources for the reported regions. Conclusion: MuteProc is available for download through the Vancouver Short Read Analysis Package on Sourceforge: http://***. Instructions for use and a tutorial are provided on the accompanying wiki pages at https://***/apps/mediawiki/vancouvershortr/***?title=Pipeli ne_introduction.

关键词： Next Generation Sequencing application programming interface Annotation Database Next Generation Sequencing Data Variation Database

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ADflow: An Open-Source Computational Fluid Dynamics Solver for Aerodynamic and Multidisciplinary Optimization

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JOURNAL OF AEROSPACE INFORMATION SYSTEMS 2020年第9期17卷 508-527页

作者： Mader, Charles A. Kenway, Gaetan K. W. Yildirim, Anil Martins, Joaquim R. R. A. Univ Michigan Dept Aerosp Engn Ann Arbor MI 48109 USA

Computational fluid dynamics through the solution of the Navier-Stokes equations with turbulence models has become commonplace. However, simply solving these equations is not sufficient to be able to perform efficient design optimization with a flow solver in the loop. This paper discusses the recommendations for developing a flow solver that is suitable for efficient aerodynamic and multidisciplinary design optimization. One of the major recommendations is to be able to load the flow solver as a library that provides direct memory access to the relevant data. Other recommendations are to use a higher-level language for scripting and to pay special attention to solution warm starting, code efficiency, flow solver robustness, and solution failure handling. As an example of a flow solver that follows these recommendations, the open-source flow solver ADflow is presented. Results from aerodynamic optimization, aerostructural analysis, and aerostructural optimization using ADflow demonstrate the performance advantages claimed in the recommendations. The publication of these recommendations and the availability of the source code open the door for other solvers to adopt the same application programming interface. ADflow is part of a wider aerodynamic shape optimization tool suite that is also available under an open-source license.

关键词： CFD Simulation application programming interface Aerodynamic Shape Optimization Multidisciplinary Design Optimization Turbulence Models Navier Stokes Equations Incompressible Flow Angle of Attack Computing Reynolds Averaged Navier Stokes

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Quantum Chemistry Common Driver and Databases (QCDB) and Quantum Chemistry Engine (QCEngine): Automation and interoperability among computational chemistry programs

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JOURNAL OF CHEMICAL PHYSICS 2021年第20期155卷 204801-204801页

作者： Smith, Daniel G. A. Lolinco, Annabelle T. Glick, Zachary L. Lee, Jiyoung Alenaizan, Asem Barnes, Taylor A. Borca, Carlos H. Di Remigio, Roberto Dotson, David L. Ehlert, Sebastian Heide, Alexander G. Herbst, Michael F. Hermann, Jan Hicks, Colton B. Horton, Joshua T. Hurtado, Adrian G. Kraus, Peter Kruse, Holger Lee, Sebastian J. R. Misiewicz, Jonathon P. Naden, Levi N. Ramezanghorbani, Farhad Scheurer, Maximilian Schriber, Jeffrey B. Simmonett, Andrew C. Steinmetzer, Johannes Wagner, Jeffrey R. Ward, Logan Welborn, Matthew Altarawy, Doaa Anwar, Jamshed Chodera, John D. Dreuw, Andreas Kulik, Heather J. Liu, Fang Martinez, Todd J. Matthews, Devin A. Schaefer, Henry F., III Sponer, Jiri Turney, Justin M. Wang, Lee-Ping De Silva, Nuwan King, Rollin A. Stanton, John F. Gordon, Mark S. Windus, Theresa L. Sherrill, C. David Burns, Lori A. Mol Sci Software Inst Blacksburg VA 24060 USA Iowa State Univ Dept Chem Ames IA 50011 USA Georgia Inst Technol Sch Chem & Biochem Ctr Computat Mol Sci & Technol Atlanta GA 30332 USA Georgia Inst Technol Sch Computat Sci & Engn Atlanta GA 30332 USA Arctic Univ Norway UiT Ctr Theoret & Computat Chem Dept Chem N-9037 Tromso Norway Univ Colorado Boulder Open Force Field Initiat Boulder CO 80309 USA Univ Bonn Inst Phys Theoret Chem Mulliken Ctr Theoret Chem Beringstr 4 D-53115 Bonn Germany Univ Georgia Ctr Computat Quantum Chem Athens GA 30602 USA Rhein Westfal TH Aachen Appl & Computat Math Schinkelstr 2 D-52062 Aachen Germany FU Berlin Dept Math & Comp Sci D-14195 Berlin Germany Stanford Univ Dept Chem Stanford CA 94305 USA Stanford Univ SLAC Natl Accelerator Lab Menlo Pk CA 94025 USA Univ Lancaster Dept Chem Lancaster LA1 4YW England SUNY Stony Brook Inst Adv Computat Sci Stony Brook NY 5250 USA Curtin Univ Sch Mol & Life Sci GPO Box U1987 Perth WA 6845 Australia Czech Acad Sci Inst Biophys Kralovopolska 135 Brno 61265 Czech Republic CALTECH Pasadena CA 91125 USA Univ Florida Dept Chem Gainesville FL 32611 USA Heidelberg Univ Interdisciplinary Ctr Sci Comp Neuenheimer Feld 205 D-69120 Heidelberg Germany NHLBI Lab Computat Biol NIH Bethesda MD 20892 USA Friedrich Schiller Univ Jena Inst Phys Chem Jena Germany Univ Calif Irvine Dept Pharmaceut Sci Irvine CA 92697 USA Argonne Natl Lab Data Sci & Learning Div Lemont IL 60439 USA Alexandria Univ Dept Comp & Syst Engn Alexandria 21544 Egypt Mem Sloan Kettering Canc Ctr Sloan Kettering Inst Computat & Syst Biol Program New York NY 10065 USA MIT Dept Chem Engn Cambridge MA 02139 USA Univ Texas Austin Inst Computat Engn & Sci Austin TX 78712 USA Univ Calif Davis Dept Chem Davis CA 95616 USA Bethel Univ Dept Chem St Paul MN 55112 USA Univ Florida Quantum Theory Project 2328 New Phys Bldg Gainesville FL 32611 USA Iowa State Univ Dept Chem & Ames Lab Ames IA 50011 USA Entos

Community efforts in the computational molecular sciences (CMS) are evolving toward modular, open, and interoperable interfaces that work with existing community codes to provide more functionality and composability than could be achieved with a single program. The Quantum Chemistry Common Driver and Databases (QCDB) project provides such capability through an application programming interface (API) that facilitates interoperability across multiple quantum chemistry software packages. In tandem with the Molecular Sciences Software Institute and their Quantum Chemistry Archive ecosystem, the unique functionalities of several CMS programs are integrated, including CFOUR, GAMESS, NWChem, OpenMM, Psi4, Qcore, TeraChem, and Turbomole, to provide common computational functions, i.e., energy, gradient, and Hessian computations as well as molecular properties such as atomic charges and vibrational frequency analysis. Both standard users and power users benefit from adopting these APIs as they lower the language barrier of input styles and enable a standard layout of variables and data. These designs allow end-to-end interoperable programming of complex computations and provide best practices options by default.

关键词： Topics: Turbomole Electronic correlation Energy minimization application programming interface Diatomic molecule Computational chemistry.

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A high level interface to SCOP and ASTRAL implemented in Python

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BMC BIOINFORMATICS 2006年第1期7卷 10-10页

作者： Casbon, JA Crooks, GE Saqi, MAS Univ London Queen Mary Sch Med & Dent Inst Cell & Mol Sci London EC1 6BQ England Univ Calif Berkeley Dept Plant & Microbial Biol Berkeley CA 94720 USA

Background: Benchmarking algorithms in structural bioinformatics often involves the construction of datasets of proteins with given sequence and structural properties. The SCOP database is a manually curated structural classification which groups together proteins on the basis of structural similarity. The ASTRAL compendium provides non redundant subsets of SCOP domains on the basis of sequence similarity such that no two domains in a given subset share more than a defined degree of sequence similarity. Taken together these two resources provide a 'ground truth' for assessing structural bioinformatics algorithms. We present a small and easy to use API written in python to enable construction of datasets from these resources. Results: We have designed a set of python modules to provide an abstraction of the SCOP and ASTRAL databases. The modules are designed to work as part of the Biopython distribution. Python users can now manipulate and use the SCOP hierarchy from within python programs, and use ASTRAL to return sequences of domains in SCOP, as well as clustered representations of SCOP from ASTRAL. Conclusion: The modules make the analysis and generation of datasets for use in structural genomics easier and more principled.

关键词： Unify Modelling Language application programming interface Scop Database FASTA File Domain Object

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Variable-Magnification Optical Stimulator for Training and Validation of Spaceborne Vision-Based Navigation

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JOURNAL OF SPACECRAFT AND ROCKETS 2019年第4期56卷 1060-1072页

作者： Beierle, Connor D'Amico, Simone Stanford Univ Dept Aeronaut & Astronaut Space Rendezvous Lab Durand Bldg496 Lomita Mall Stanford CA 94305 USA

This paper addresses the design, calibration, and utilization of a hardware-in-the loop optical stimulator for the training and validation of vision-based sensors and algorithms used for spaceborne navigation. This testbed overcomes deficiencies of existing approaches in literature, which mainly focus on emulating single operational zones such as inertial, far-range, or close-range relative navigation. Consequently, the behavior of vision-based sensors and algorithms operating in mixed or transitioning navigation regimes have remained poorly assessed before launch. To address these issues, this novel optical stimulator reproduces the large geometric and radiometric dynamic range of the space environment with a pair of lenses to achieve variable magnification of an organic light emitting diode monitor. This approach is shown to support vision-based sensors of both narrow and wide field of view, increase the radiometric dynamic range of the testbed, and emulate close-range scenarios when light from an object is not collimated. A calibration procedure is presented that places sources of light at the intended angular location over the magnification range in the presence of varying distortions. The calibrated testbed is then used to simulate dynamic inertial and relative navigation scenarios of operational relevance. These hardware-in-the-loop simulations allow for the training and validation of optical hardware, software, and algorithms for future distributed space systems.

关键词： Vision Based Navigation Horizon Sensors Space Environment Hardware in the Loop Simulation Distributed Space Systems Satellites Attitude Dynamics Earth Cathode Ray Tubes application programming interface

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Development of a Support Tool for Rapid application Integration of CIMS

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Tsinghua Science and Technology 1998年第2期3卷 45-50页

作者：范玉顺吴澄

Computer intergrated manufacturing system (CIMS) applications in manufacturing enterprises need new advanced support tools for application integration. This paper presents the system architecture and functions for CIMS application integration platform for manufacturing enterprises (MACIP). MACIP integrates a set of application software products and development tools as a complete system for CIMS implementation. MACIP includes a communication system, a global information system, three domain application sub integration platforms, an internet interface and an operation management and control system. The Client/Server structure, the object oriented method and the agent technique were used in developing MACIP. Good system openness, scalability, and maintenance are ensured by conforming to international standards and by using advanced system design software and management tools. MACIP can significantly reduce the implementation complexity, time, and cost of CIMS. 

关键词： integration platform CIMS system architecture object oriented application programming interface

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JDap: Supporting in-memory data persistence in javascript using Intel's PMDK

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JOURNAL OF SYSTEMS ARCHITECTURE 2019年第0期101卷 101662-000页

作者： You, Litong Xu, Hao Zhang, Qipeng Li, Tianyou Li, Chen Chen, Yuting Huang, Linpeng Shanghai Jiao Tong Univ Dept Comp Sci & Engn Shanghai Peoples R China Intel Asia Pacific R&D Co LTD Shanghai Peoples R China Aalborg Univ Dept Mat & Prod Aalborg Denmark

Data persistence is a feature that the data needs to live longer than its creator. The state-of-the-art is in-memory data persistence, requiring data in the memory to be persistent even when the application crashes. So far in-memory data persistence has been supported in many programming languages such as C, C++, and Java. However, it has not yet been well supported in JavaScript, a popular scripting language for software development. To solve this problem, we introduce JDap, an extension to JavaScript's runtime and execution engine, to support in-memory data persistence in JavaScript using Intel's Persistent Memory Development Kit (PMDK). JDap consists of (1) a JavaScript persistent object pool that serves as a heap in which persistent objects can be created, managed, and accessed safely and consistently. In particular, this pool supports shared memory parallelism, allowing persistent data to be accessed in parallel;(2) a set of JavaScript APIs that provides programmers with supports in managing and accessing persistent data in an easy-to-use and safe manner. We have implemented JDap and evaluated it against two database-supported data persistence styles (MongoDB's object store and indexedDB's binary store) on micro-benchmarks and real-world applications. Our evaluation shows that JDap outperforms object store by 1.6 x and outperforms binary store by 24.6 x. We have also evaluated JDap against Extended Memory Semantics (EMS) on data-intensive tasks. The results show that JDap outperforms EMS by 2 x.

关键词： Persistent memory development kit Javascript In-Memory data persistence Object pool application programming interface

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