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10th IFIP International Conference on New Technologies, Mobility and Security (NTMS)

作者： Atanasov, Ivaylo Pencheva, Evelina Asenov, Ivaylo Tech Univ Sofia Fac Telecommun Sofia Bulgaria

ISBN: (纸本)9781728115429

Fifth generation (5G) networks are expected to incorporate more intelligence in order to predict the traffic and mobility patterns and to optimize the performance. Multi-access-Edge Computing may contribute to performance optimization by distributing cloud computing and storage capabilities in the vicinity to end users. In this paper, we propose a new mobile edge service which enables external applications to provide information about foreseen or expected User Equipment (UE) activity and mobility. The applications may gather radio network and location information to calculate UE behavior patterns and to send to the network information that may help to optimize resource management procedures.

关键词： Edge Computing application programming interface Data model State machines

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Web-based technologies for teaching and using molecular simulation

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FLUID PHASE EQUILIBRIA 2002年第Spe1期194卷 327-335页

作者： Kofke, DA Mihalick, BC SUNY Buffalo Dept Chem Engn Buffalo NY 14260 USA

Computing power and molecular simulation methodology have improved dramatically over the past decade, and for some systems molecular models are reaching a point where they can provide information that approaches or surpasses the quality of real experimental data. Molecular simulation can also be a potent tool for developing qualitative understanding, and this feature suggests widespread use of molecular simulation as a tool for teaching. Broader use of molecular simulation for these purposes requires tools that promote understanding and application of simulation software. We present an "object-oriented" view of molecular simulation that can help conceptualize and organize its elements, and discuss software development tools that we have constructed that enable non-experts in simulation or graphical programming to create instructive molecular simulations. We finish with an example of one such simulation applet, which we have used in the classroom. Tools described here are available on the web at ***/etomica. (C) 2002 Elsevier Science B.V. All rights reserved.

关键词： molecular simulation application programming interface Java education software

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SigniFYIng APIs in the context of Polystore systems: a case study with BigDAWG 20

SigniFYIng APIs in the context of Polystore systems: a case ...

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19th Brazilian Symposium on Human Factors in Computing Systems (IHC)

作者： Neto, Carlos Gracioli Salgado, Luciana Stroele, Victor de Oliveira, Daniel Fed Inst Educ Sci & Technol Mato Grosso Rondonopolis MT Brazil Fed Fluminense Univ Niteroi RJ Brazil Univ Fed Juiz de Fora Juiz De Fora MG Brazil

ISBN: (纸本)9781450381727

Polystore systems are a new trend in Database Management Systems, and they focus on storing and processing queries in multiple heterogeneous databases. Polystore systems have complex middleware that provides APIs for multiple types of storage engines. When database administrators use an API, they play the role of an application user and more attention should be paid to analyzing these APIs. This paper investigates the communicability of a Polystore system API (BigDAWG), with the SigniFYIng APIs method, from Semiotic Engineering. We analyze the potential of the method in the characterization of the communicative strategies of the BigDAWG system. The study is preceded by a simplified systematic mapping study in the area of semiotic inspection of APIs to characterize the main contributions. The results of this research indicate the applicability of the SigniFYIng APIs method to support investigations in the context of Human-Centered Computing and for the study of communicability in Polystore systems.

关键词： application programming interface Semiotic Engineering

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Multimodal audiovisual speech recognition architecture using a three-feature multi-fusion method for noise-robust systems

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ETRI JOURNAL 2024年第1期46卷 22-34页

作者： Jeon, Sanghun Lee, Jieun Yeo, Dohyeon Lee, Yong-Ju Kim, Seungjun Elect & Telecommun Res Inst Daejeon South Korea Gwangju Inst Sci & Technol Sch Integrated Technol Gwangju South Korea

Exposure to varied noisy environments impairs the recognition performance of artificial intelligence-based speech recognition technologies. Degraded-performance services can be utilized as limited systems that assure good performance in certain environments, but impair the general quality of speech recognition services. This study introduces an audiovisual speech recognition (AVSR) model robust to various noise settings, mimicking human dialogue recognition elements. The model converts word embeddings and log-Mel spectrograms into feature vectors for audio recognition. A dense spatial-temporal convolutional neural network model extracts features from log-Mel spectrograms, transformed for visual-based recognition. This approach exhibits improved aural and visual recognition capabilities. We assess the signal-to-noise ratio in nine synthesized noise environments, with the proposed model exhibiting lower average error rates. The error rate for the AVSR model using a three-feature multi-fusion method is 1.711%, compared to the general 3.939% rate. This model is applicable in noise-affected environments owing to its enhanced stability and recognition rate.

关键词： application programming interface audiovisual speech recognition lip reading multimodal interaction

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application of Machine Learning to the Analysis and Prediction of the Coincidence of Ground Delay Programs and Ground Stops

Application of Machine Learning to the Analysis and Predicti...

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AIAA Science and Technology Forum and Exposition (AIAA SciTech)

作者： Mangortey, Eugene Laine, Marc-Henri Bleu Puranik, Tejas G. Pinon, Olivia J. Mavris, Dimitri N. Georgia Inst Technol Aerosp Syst Design Lab Sch Aerosp Engn Atlanta GA 30332 USA Georgia Inst Technol Adv Syst Anal Sch Aerosp Engn Atlanta GA 30332 USA

ISBN: (数字)9781624105951

ISBN: (纸本)9781624105951

Traffic Management Initiatives such as Ground Delay Programs and Ground Stops are implemented by traffic management personnel to control air traffic volume to constrained airports when traffic demand is projected to exceed the airports' acceptance rate due to conditions such as inclement weather, volume constraints, etc. Ground Delay Programs are issued for lengthy periods of time and aircraft are assigned departure times later than scheduled. Ground Stops on the other hand, are issued for short periods of time and aircraft are not permitted to land at the constrained airport. Occasionally, Ground Stops are issued during an ongoing Ground Delay Program, and vice versa, which hinders the efficient planning and implementation of these Traffic Management Initiatives. This research proposes a methodology to help stakeholders better capture the impact of the coincidence of weather related Ground Delay Programs and Ground Stops, and potentially help reduce the number and duration of such coincidences. This is achieved by leveraging Machine Learning techniques to predict their coincidence at a given hour, predict which Traffic Management Initiative would precede the other during their coincidence, and identify key predictors that cause their coincidence. The Random Forests Machine Learning algorithm was identified as the best suited algorithm for predicting the coincidence of weather-related Ground Delay Programs and Ground Stops, as well as the Traffic Management Initiative that would precede the other during their coincidence.

关键词： Machine Learning Aviation System Performance Metrics Flight Information Exchange Model Thunderstorms Neural Networks application programming interface Expect Departure Clearance Time San Francisco International Airport Altimeter Federal Aviation Administration

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Pattern-oriented API Refactoring: Addressing Design Smells and Stakeholder Concerns 24

Pattern-oriented API Refactoring: Addressing Design Smells a...

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29th European Conference on Pattern Languages of Programs, People, and Practices

作者： Stocker, Mirko Zimmermann, Olaf Kapferer, Stefan Eastern Switzerland Univ Appl Sci OST St Gallen Switzerland

ISBN: (纸本)9798400716836

In distributed systems, remote application programming interfaces (APIs) let architectural components such as microservices communicate with each other;interoperability and satisfactory developer experience are key stakeholder concerns. In response to changing requirements and insights from development and operations, API endpoints and the request and response messages of the exposed operations are actively designed and then modified during the entire life cycle of the system. Refactoring is a crucial practice in agile software development, widely adopted in practice at the code level. Architectural refactoring has been researched but has not been adopted nearly as widely as code-level refactoring. This paper continues our work on refactoring remote APIs, which we introduced at EuroPLoP 2023. We present a second slice of seven API refactorings pulled from our online interface Refactoring Catalog, many of which target API design patterns: Extract Information Holder, Inline Information Holder, Extract Operation, Rename Operation, Make Request Conditional, Encapsulate Context Representation, and Introduce Version Identifier. Besides context, problem, and step-by-step solution, we also motivate the refactorings by stakeholder concerns and identify the design smells that refactoring can address. All refactorings are illustrated with implementation code snippets, excerpts from API specification, and/or examples of messages exchanged at runtime. The paper concludes with an outlook to future work.

关键词： application programming interface cloud computing design patterns enterprise application integration interface definition languages refactoring software

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Parallel Anisotropic Unstructured Grid Adaptation

Parallel Anisotropic Unstructured Grid Adaptation

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AIAA Science and Technology (SciTech) Forum and Exposition

作者： Tsolakis, Christos Chrisochoides, Nikos Park, Michael A. Loseille, Adrien Michal, Todd Old Dominion Univ Ctr Real Time Comp Norfolk VA 23529 USA Old Dominion Univ Ctr Real Time Comp Comp Sci Norfolk VA 23529 USA NASA Langley Res Ctr Computat AeroSci Branch Hampton VA 23681 USA INRIA Paris Saclay GAMMA3 Team Alan Turing Bldg F-91120 Palaiseau France Boeing Co St Louis MO USA

ISBN: (数字)9781624105784

ISBN: (纸本)9781624105784

Computational Fluid Dynamics (CFD) has become critical to the design and analysis of aerospace vehicles. Parallel grid adaptation that resolves multiple scales with anisotropy is identified as one of the challenges in the CFD Vision 2030 Study to increase the capacity and capability of CFD simulation. The Study also cautions that computer architectures are undergoing a radical change and dramatic increases in algorithm concurrency will be required to exploit full performance. This paper reviews four different methods to parallel anisotropic grid generation. They cover both ends of the spectrum: (i) using existing state-of-the-art software optimized for a single core and modifying it for parallel platforms and (ii) designing and implementing scalable software with incomplete, but rapidly maturing functionality. A brief overview for each grid adaptation system is presented in the context of a telescopic approach for multilevel concurrency. These methods employ different approaches to enable parallel execution, which provides a unique opportunity to illustrate the relative behavior of each approach. Qualitative and quantitative metric evaluations are used to draw lessons for future developments in this critical area for parallel CFD simulation.

关键词： Parallel Mesh Generation Computational Fluid Dynamics Delta Wing High Performance Computing Histograms Data Structures External Flows Real Time Computing application programming interface Aeronautics Research Mission Directorate

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Fast extraction of high-quality framework-specific models from application code

Fast extraction of high-quality framework-specific models fr...

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22nd International Conference on Automated Software Engineering

作者： Antkiewicz, Michal Bartolomei, Thiago Tonelli Czarnecki, Krzysztof Univ Waterloo Generat Software Dev Lab Waterloo ON N2L 3G1 Canada

Framework-specific models represent the design of application code from the framework viewpoint by showing how framework-provided concepts are instantiated in the code. Retrieving such models quickly and precisely is necessary for practical model-supported software engineering, in which developers use design models for development tasks such as code understanding, verifying framework usage rules, and round-trip engineering. Also, comparing models extracted at different times of the software lifecycle supports software evolution tasks. We describe an experimental study of the static analyses necessary to automatically retrieve framework-specific models from application code. We reverse engineer a number of applications based on three open-source frameworks and evaluate the quality of the retrieved models. The models are expressed using framework-specific modeling languages (FSMLs), each designed for an open-source framework. For reverse engineering, we use prototype implementations of the three FSMLs. Our results show that for the considered frameworks and a large body of application code rather simple code analyses are sufficient for automatically retrieving framework-specific models with high precision and recall. Based on the initial results, we refine the static analyses and repeat the study on a larger set of applications to provide more evidence and confirm the results. The refined static analyses provide precision and recall of close to 100% for the analyzed applications.

关键词： Reverse engineering Framework-specific models Framework-specific modeling languages Static analysis Object-oriented frameworks application programming interface API

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An Approach to Problem-Oriented interfaces for applications in Distributed Computing Systems 4th

An Approach to Problem-Oriented Interfaces for Applications ...

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4th International Young Scientists Conference on Computational Science (YSC)

作者： Sorokin, Aleksei A. Korolev, Sergey P. Malkovsky, Sergey I. Tarasov, Alexei G. Mikhailov, Konstantin V. Russian Acad Sci Ctr Comp Far Eastern Branch Khabarovsk Russia

The paper describes the implementation of an efficient user interface for applied software in distributed computing systems. As part of this work, a software platform has been developed for the formation of problem-oriented interfaces for application software packages and components of distributed computing systems. The main purpose of the system is to simplify the input of technical settings, launch specific jobs if required and monitor all intermediate processes. Thus, it provides an intuitive user interface for working directly with an application system, and does not require knowledge of low-level operations. Using web services and modern information technology, the developed platform makes it possible to create a set of simple and convenient interfaces for researchers who use high-performance computer systems in their work. As an example, we describe the adaptation of the FHI98md code for a Grid system.

关键词： distributed computing systems problem-oriented interface database Representational State Transfer JavaScript Object Notation application programming interface web services Grid FHI98md

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Simulator Based Mission Optimization for Swarm UAVs with Minimum Safety Distance Between Neighbors

Simulator Based Mission Optimization for Swarm UAVs with Min...

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AIAA Aviation Forum

作者： Xu, Xiaolin Sun, Jeffrey Hu, Hanyao Purdue Univ W Lafayette IN 47907 USA West Lafayette High Sch 1105 Grant St W Lafayette IN 47906 USA Sch Aeronaut & Astronaut W Lafayette IN 47907 USA

ISBN: (数字)9781624107047

ISBN: (纸本)9781624107047

The increasing prominence of Unmanned Aerial Vehicles (UAVs) in research has resulted in a heightened focus on their applications in both civilian and military sectors. As UAVs persist in playing an essential role in the future, understanding the minimum safety distances required for swarms during transportation between locations becomes crucial. Maintaining optimal safety distances is vital for preventing collisions and maximizing the efficient use of airspace. This paper investigates a Machine Learning (ML) approach to address this concern for fleets comprising ten or more swarm vehicles, employing a PX4/ROS/Gazebo-based digital simulation system framework to determine the minimum safety distance in various UAV transportation settings.

关键词： Reinforcement Learning PX4 Autopilot Unmanned Aerial Vehicle Airspace National Oceanic and Atmospheric Administration LIDAR application programming interface Flight Control System Open Source Software Angle of Attack

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