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40th International ACM SIGIR conference on research and development in Information Retrieval

作者： Mitra, Bhaskar Diaz, Fernando Craswell, Nick Univ Coll London Microsoft Cambridge England Spotify New York NY USA Microsoft Bellevue WA USA UCL London England

ISBN: (纸本)9781450350228

In recent years, the information retrieval (IR) community has witnessed the first successful applications of deep neural network models to short-text matching and ad-hoc retrieval tasks. However, the two communities focused on deep neural networks and on IR have less in common when it comes to the choice of programming languages. Indri, an indexing framework popularly used by the IR community, is written in C++, while Torch, a popular machine learning library for deep learning, is written in the light-weight scripting language Lua. To bridge this gap, we introduce Luandri (pronounced "laundry"), a simple interface for exposing the search capabilities of Indri to Torch models implemented in Lua.

关键词： Information retrieval application programming interface neural networks

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The English Dialects App: The creation of a crowdsourced dialect corpus

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Ampersand 2018年 5卷 1-17页

作者： Leemann, Adrian Kolly, Marie-José Britain, David Department of Linguistics and English Language Lancaster University County South Lancaster LA1 4YL United Kingdom Phonetics Laboratory Department of Comparative Linguistics University of Zurich Plattenstrasse 54 Zürich 8032 Switzerland Department of English University of Bern Länggassstrasse 49 Bern 3012 Switzerland

In this paper, we present the English Dialects App (EDA) and the English Dialects App Corpus (EDAC). EDA is a free iOS and Android app, launched in January 2016 that features a dialect quiz and dialect recordings. For the quiz, users indicate which variants of 26 words they use and the application guesses their local dialect;for the recordings, users can record a short text. The result is EDAC which includes metadata on mobility, ethnicity, age, educational level, and gender. More than 47,000 users from across the UK have indicated dialect variants for these 26 words, and more than 3,500 users have provided audio recordings. Unavoidably, EDAC does not successfully reflect distributions of age, ethnicity, qualification levels, and other parameters found for the UK population given that smartphone-based research reaches a specific stratum of the population. Yet there are also clear benefits to the sampling strategy used – benefits and pitfalls are discussed in this article. Future analyses will provide the most comprehensive understanding of English regional dialect variation since the work of the traditional dialectologists. We showcase two such analyses in this article. EDAC should, we demonstrate, be of interest to researchers in dialectology but also in forensic phonetics. © 2017 The Authors

关键词： API application programming interface BKA German Federal Criminal Police Office BNC British National Corpus EDA English Dialects App EDAC English Dialects App Corpus FRED Freiburg English Dialect corpus ICE International Corpus of English NORMs non-mobile, older, rural, male speakers ONS Office for National Statistics SED Survey of English Dialects

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BiTCN malware classification method based on multi-feature fusion

BiTCN malware classification method based on multi-feature f...

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International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)

作者： Xuan, Bona Li, Jin Song, Yafei Air Force Engn Univ Coll Air & Missile Def Xian Peoples R China Air Force Engn Univ Coll Air Def & Missile Def Xian Peoples R China

ISBN: (纸本)9781665464680

At present, there are a large number of variants of malware and are constantly updated. The generalization of detection algorithms based on traditional machine learning methods is attenuated and the accuracy rate is constantly declining. This paper proposes a multi-feature fusion bi-directional temporal convolutional networks (BiTCN) malware classification algorithm. According to the n-gram sequence features of malware opcode operand and application programming interface (API), the algorithm introduces BiTCN to mine bidirectional time series features, enhances the algorithm's time series feature extraction ability, and improves the classification accuracy of the algorithm. The experimental results show that BiTCN can effectively avoid sequence features easily interfered by obfuscation technology, and can effectively detect malware variants.

关键词： malware classification bi-directional temporal convolutional networks n-gram opcode operand application programming interface

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Automatically Answering API-Related Questions 18

Automatically Answering API-Related Questions

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40th ACM/IEEE International Conference on Software Engineering (ICSE)

作者： Wu, Di Jing, Xiao-Yuan Chen, Haowen Zhu, Xiaoke Zhang, Hongyu Zuo, Mei Zi, Lu Zhu, Chen Wuhan Univ Sch Comp State Key Lab Software Engn Wuhan Hubei Peoples R China Univ Newcastle Sch Elect Engn & Comp Newcastle NSW Australia

ISBN: (纸本)9781450356633

Automatically recommending API-related tutorial fragments or Q& A pairs from Stack Overflow (SO) is very helpful for developers, especially when they need to use unfamiliar APIs to complete programming tasks. However, in practice developers are more likely to express the API-related questions using natural language when they do not know the exact name of an unfamiliar API. In this paper, we propose an approach, called SOTU, to automatically find answers for API-related natural language questions (NLQs) from tutorials and SO. We first identify relevant API-related tutorial fragments and extract API-related Q& A pairs from SO. We then construct an API-Answer corpus by combining these two sources of information. For an API-related NLQ given by the developer, we parse it into several potential APIs and then retrieve potential answers from the API-Answer corpus. Finally, we return a list of potential results ranked by their relevancy. Experiments on API-Answer corpus demonstrate the effectiveness of SOTU.

关键词： application programming interface Natural Language Question Tutorials Stack Overflow

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Biometric-Based Three-Tier Microservice Architecture for Mitigating the Fraudulent Behaviour 2nd

Biometric-Based Three-Tier Microservice Architecture for Mit...

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2nd International Conference on Communication, Devices and Computing (ICCDC)

作者： Shyry, S. Prayla Sathyabama Inst Sci & Technol Sch Comp Dept Comp Sci & Engn Chennai Tamil Nadu India

ISBN: (纸本)9789811508295;9789811508288

Though monolithic systems have tremendous advantages, it suffers from its own drawbacks like independency and debugging time. So the paradigm has shifted to build the applications with microservice architecture. The microservice is a part of the service-oriented architecture that decomposes themonolithic architecture into different services. All the divided services perform heterogeneous activity, and they are interfaced with proper application programming interface (API). Microservice is highly resilient;hence, when one service fails, it does not have an impact on other services. Traditional systems use monolithic architecture which fails in their design pattern and dependency. In this paper, to avoid duplicity in passport, a novel biometric-based monolithic architecture is developed for authentication system. All the physiological and behavioural biometrics of a person are stored in the repository and compared during the authentication phase. All these services are created as microservice and interfaced with proper APIs which improves parallel processing.

关键词： application programming interface Biometric Microservice

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Adjoint-based Anisotropic Mesh Adaptation for a Stabilized Finite-Element Flow Solver

Adjoint-based Anisotropic Mesh Adaptation for a Stabilized F...

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AIAA Aviation Forum and Exposition

作者： Balan, Aravind Park, Michael A. Anderson, W. Kyle NASA Langley Res Ctr Hampton VA 23681 USA NASA Langley Res Ctr Computat AeroSci Branch Hampton VA 23681 USA

ISBN: (数字)9781624105890

ISBN: (纸本)9781624105890

An adjoint solver is implemented in the FUN3D stabilized finite-element flow solver. The adjoint solution is used to generate anisotropic, adapted meshes to control error in scalar output functionals, such as lift or drag coefficient. The inviscid and turbulent adjoints are verified with a finite-difference derivative approximation and can be used in design optimization in addition to mesh adaptation. The adjoint capability represents an extension of previous research using the FUN3D stabilized finite-element capability with metric-based mesh adaptation and interpolation-based error estimates to generate highly anisotropic adapted meshes for turbulent flows. In the present work, a metric-based approach is again utilized, where the adjoint and the primal solutions both contribute to the generation of a metric tensor field that is subsequently used to produce the required anisotropic mesh for each adaptation cycle. Adaptive results are then shown for an inviscid supersonic flow over a diamond airfoil, inviscid transonic flow over the ONERA M6 wing, and viscous laminar flow over the NACA 0012 airfoil, all using drag force as the output functional. Adjoint-based adaptation is compared with a multiscale solution-based approach that controls the L-p norm of Mach number interpolation error to demonstrate the effectiveness and e fficiency of the adjoint-based adaptive mesh technology.

关键词： Supersonic Flow Drag Coefficient NACA 0012 FUN3D Angle of Attack Aerodynamic Flow Simulations Unstructured Grid Continuity Equation Variational Multiscale Method application programming interface

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APIs for QoS configuration in Software Defined Networks 1

APIs for QoS configuration in Software Defined Networks

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1st IEEE Conference on Network Softwarization (IEEE NETSOFT)

作者： Caba, Cosmin Soler, Jose DTU Fotonik Networks Technol & Serv Platforms Grp Lyngby Denmark

ISBN: (纸本)9781479978991

The OpenFlow (OF) protocol is widely used in Software Defined Networking (SDN) to realize the communication between the controller and forwarding devices. OF allows great flexibility in managing traffic flows. However, OF alone is not enough to build more complex SDN services that require complete control and management of the data plane (e.g. configurations of ports, queues, etc.). The current work contributes to the SDN ecosystem with the implementation of a plugin for the OVSDB protocol, for an existing SDN controller (SDNC). OVSDB complements OF with management functionality such as configuration of devices, ports, queues, etc. An application programming interface (API) for dynamic configuration of QoS resources in the network devices is implemented herein, by using the capabilities of OVSDB. Further, the paper demonstrates the possibility to create network services with coarse granularity on top of the fine granular services exposed by the QoS configuration API at the SDNC. A series of tests emphasize the capabilities and the performance of the implemented QoS configuration API.

关键词： Software Defined Networking OpenFlow QoS network management Open vSwitch application programming interface

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Performance Analysis of a Proposed Tightly-Coupled Medical Instrument Network based on CAN Protocol

Performance Analysis of a Proposed Tightly-Coupled Medical I...

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32nd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBC 10)

作者： Mujumdar, Shantanu Thongpithoonrat, Pongnarin Gurkan, D. McKneely, Paul K. Chapman, Frank M. Merchant, Fatima Univ Houston Cullen Coll Engn Houston TX 77004 USA Univ Houston Dept Engn Technol Houston TX 77204 USA Univ Houston Coll Technol Houston TX 77204 USA MediCAN Syst Inc Houston TX 77079 USA Univ Houston Dept Engn Technol Houston TX 77204 USA

ISBN: (纸本)9781424441242

Advances in medical devices and health care has been phenomenal during the recent years. Although medical device manufacturers have been improving their instruments, network connection of these instruments still rely on proprietary technologies. Even if the interface has been provided by the manufacturer (e.g., RS-232, USB, or Ethernet coupled with a proprietary API), there is no widely-accepted uniform data model to access data of various bedside instruments. There is a need for a common standard which allows for internetworking with the medical devices from different manufacturers. ISO/IEEE 11073 (X73) is a standard attempting to unify the interfaces of all medical devices. X73 defines a client access mechanism that would be implemented into the communication controllers (residing between an instrument and the network) in order to access/network patient data. On the other hand, MediCAN (TM) technology suite has been demonstrated with various medical instruments to achieve interfacing and networking with a similar goal in its open standardization approach. However, it provides a more generic definition for medical data to achieve flexibility for networking and client access mechanisms. The instruments are in turn becoming more sophisticated;however, the operation of an instrument is still expected to be locally done by authorized medical personnel. Unfortunately, each medical instrument has its unique proprietary API (application programming interface - if any) to provide automated and electronic access to monitoring data. Integration of these APIs requires an agreement with the manufacturers towards realization of interoperable health care networking. As long as the interoperability of instruments with a network is not possible, ubiquitous access to patient status is limited only to manual entry based systems. This paper demonstrates an attempt to realize an interoperable medical instrument interface for networking using MediCAN technology suite as an open standar

关键词： API CAN Protocol MediCAN technology application program interfaces application programming interface biomedical equipment computerised instrumentation controller area networks health care interoperability interoperable medical instrument interface medical computing open systems performance analysis telemedicine tightly-coupled medical instrument network

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How does fake news spread? Understanding pathways of disinformation spread through APIs

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POLICY AND INTERNET 2021年第4期13卷 560-585页

作者： Ng, Lynnette H. X. Taeihagh, Araz Carnegie Mellon Univ Inst Software Res Pittsburgh PA 15213 USA Natl Univ Singapore Lee Kuan Yew Sch Publ Policy 469B Bukit TimahLi Ka Shing BldgLevel 202-10 Singapore 259771 Singapore Natl Univ Singapore Ctr Trusted Internet & Community Singapore Singapore

What are the pathways for spreading disinformation on social media platforms? This article addresses this question by collecting, categorising, and situating an extensive body of research on how application programming interfaces (APIs) provided by social media platforms facilitate the spread of disinformation. We first examine the landscape of official social media APIs, then perform quantitative research on the open-source code repositories GitHub and GitLab to understand the usage patterns of these APIs. By inspecting the code repositories, we classify developers' usage of the APIs as official and unofficial, and further develop a four-stage framework characterising pathways for spreading disinformation on social media platforms. We further highlight how the stages in the framework were activated during the 2016 US Presidential Elections, before providing policy recommendations for issues relating to access to APIs, algorithmic content, advertisements, and suggest rapid response to coordinate campaigns, development of collaborative, and participatory approaches as well as government stewardship in the regulation of social media platforms.

关键词： application programming interface code repositories disinformation fake news platforms social media

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Usage-based Lifing of Lithium-Ion Battery with Hybrid Physics-Informed Neural Networks

Usage-based Lifing of Lithium-Ion Battery with Hybrid Physic...

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AIAA Aviation Forum and Exposition

作者： Nascimento, Renato G. Viana, Felipe A. C. Corbetta, Matteo Kulkarni, Chetan S. Univ Cent Florida Dept Mech & Aerosp Engn Orlando FL 32816 USA NASA KBR LLC Ames Res Ctr Moffett Field CA 94035 USA

ISBN: (数字)9781624106101

ISBN: (纸本)9781624106101

Lithium-ion batteries are commonly used to power unmanned aircraft vehicles (UAVs). The ability to model and forecast the remaining useful life of these batteries enables UAV reliability assurance. Building accurate models for battery state of charge and state of health based on first principles is challenging due to the complex electrochemistry that governs battery operations and computational complexity required to solve them. Therefore, reduced order models are often used due to their ability to capture the overall battery discharge. Unfortunately, these simplifications lead to residual discrepancy between model predictions and observed data. In this paper, we present a hybrid modeling approach merging reduced-order models and neural networks. In this approach, while most of the input-output relationship is captured by Nernst and Butler-Volmer equations, data-driven kernels reduce the gap between predictions and observations. We validate our approach using data publicly available through the NASA Prognostics Center of Excellence repository. Results showed that our hybrid battery prognosis model can be successfully calibrated, even with a limited number of observations.

关键词： Batteries Recurrent Neural Network Unmanned Aircraft Machine Learning Numerical Integration application programming interface Probability Distribution Numerical Interpolation Universal Gas Constant

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