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检索条件"主题词=Application programming interfaces"

共 563 条记录，以下是471-480 订阅

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Exploring SysML v2 for Model-Based Engineering of Safety-Critical Avionics Systems

Exploring SysML v2 for Model-Based Engineering of Safety-Cri...

引用

Conference on Digital Avionics Systems (DASC)

作者： Alexander Ahlbrecht Bojan Lukić Wanja Zaeske Umut Durak German Aerospace Center (DLR) Institute of Flight Systems Braunschweig Germany

ISBN: (数字)9798350349610

ISBN: (纸本)9798350349627

For complex and safety-critical avionics systems, dis-tributed developments are unavoidable. To coordinate the frag-mented development process, a seamless information exchange is necessary. A promising paradigm to coordinate the development activities is Model-Based Systems Engineering (MBSE). However, exchanging information with current MBSE practices still presents interoperability challenges. The second version of the Systems Modeling Language (SysML v2) introduces potential solutions to these challenges. A key feature is the standardized application programming Interface (API), presenting an opportunity for server-based data exchanges. Since it is not yet explored how the SysML v2 features can be utilized for the development of avionics systems, this paper provides an overview. Therefore, a SysML v2 avionics application concept is outlined, exercised, and discussed. Overall, SysML v2 shows potential to complement model-based avionics practices through novel features and the standardized API. Still, domain-specific adjustments are necessary to apply the general-purpose language in the avionics context.

关键词： Virtual machine monitors Linux Collaboration Aerospace electronics Systems Modeling Language DSL Modeling Interoperability Information exchange application programming interfaces

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SOC programming tutorial

SOC programming tutorial

引用

IEEE Hot Chips Symposium (HCS)

作者： Neil Trevett Khronos Faculty of Radio Engineering Vinnytsia National Technical University Vinnytsia Ukraine

ISBN: (纸本)9781467388801

This article consists of a collection of slides from the author's conference presentation. Presents a tutorial of system-on-chip (SOC) programming. Some of the specific topics discussed include: SOC capabilities; the acceleration of application programming interfaces (APIs) on current mobile operating systems; areas on innovation for mobile applications; and silicon-level opportunities and challenges for the future.

关键词： Mobile communication Tutorials Computer applications System-on-chip application programming interfaces Software development Tecnology forecasting Smart phones Market opportunities

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Using LLM to Convert Bahasa Indonesia Commands into JSON Structures for GIS System API

Using LLM to Convert Bahasa Indonesia Commands into JSON Str...

引用

International Conference on Computer, Control, Informatics and Its applications (IC3INA)

作者： Asril Jarin Agung Santosa Yaniasih Yaniasih Research Center for Data and Information Science National Agency for Research and Innovation Jakarta Indonesia

ISBN: (数字)9798331542313

ISBN: (纸本)9798331542320

Geographic Information Systems (GIS) often require complex application programming Interface (API) interactions that are not easily accessible to non-technical users. This research proposes a proof-of-concept system that uses large language models (LLMs) to convert Bahasa Indonesia user commands into JSON structures for GIS system APIs. A dataset was generated by creating pairs of Bahasa Indonesia commands and corresponding JSON structures using ChatGPT based on a predefined template. The dataset was split into 90% for fine-tuning and 10% for testing, using two open pre-trained LLMs: Llama 3.1-8b and Gemma 2-9b. The performance was evaluated across several scenarios, including non-fine-tuning and fine-tuning with different epoch options. Results show that fine-tuning improves accuracy, with Gemma 2-9b achieving the highest accuracy of 94.23% after 20 epochs, slightly outperforming Llama 3.1-8b. This proof-of-concept demonstrates the potential of LLMs to simplify natural language command processing for GIS systems.

关键词： Digital control Accuracy Large language models Natural languages Process control Chatbots Informatics Geographic information systems application programming interfaces Testing

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Unified Compile-Time and Runtime Java Annotation Processing

Unified Compile-Time and Runtime Java Annotation Processing

引用

Federated Conference on Computer Science and Information Systems

作者： Peter Pigula Milan Nosal' Technical University of Kosice

ISBN: (纸本)9781479967476

Java provides two different options for processing source code annotations. One of them is the annotation processing API used in compile time, and the other is the Reflection API used in runtime. Both options provide different API for accessing program metamodel. In this paper, we examine the differences between those representations and we discuss options on how to unify these models along with advantages and disadvantages of this approach. Based on this proposal, we design a unified Java language model and present a prototype tool which can populate a unified model during both compilation and runtime. The paper includes the designed API of this unified language model. To verify our approach, we have performed experiments to show the usability of the unified metamodel.

关键词： Java programming language Runtime Java ANNOTATIONS compile time application programming interfaces AXIAL POWER INDICATOR API American Petroleum Institute modelling languages Collected papers UNIFIED MODEL representations

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CardioNetFusion: A Deep Learning and Explainable AI Integrated System for Cardiovascular Disease Detection

CardioNetFusion: A Deep Learning and Explainable AI Integrat...

引用

IEEE International Conference on Data Mining Workshops (ICDM Workshops)

作者： Gunasekaran Raja Selvam Essaky Surya Raj Muthu Babith Sarish Suresh Jaehyuk Cho Seohyun Yoo Sathishkumar Veerappampalayam Easwaramoorthy Department of Computer Technology NGNLab Anna University Chennai India Department of Software Engineering & Division of Electronics and Information Engineering Jeonbuk National University Jeonju-si the Republic of Korea School of Engineering and Technology Sunway University Malaysia

ISBN: (数字)9798331530631

ISBN: (纸本)9798331530648

Early detection of Cardiovascular Diseases (CVD) plays a vital role in effective treatment and management. However, traditional methods for analyzing ECG signals are often limited in both accuracy and interpretability. In this work, we introduce a novel model, CardioNetFusion, designed to address these limitations by incorporating advancements in Deep Learning (DL) and Explainable AI (XAI). The model leverages the strengths of Convolutional Neural Networks (CNN), MobileNetV2, and VGG16 to improve the robustness of ECG signal interpretation. To further enhance transparency and provide healthcare professionals with actionable insights, saliency maps are utilized to visualize model predictions. Additionally, by integrating an application programming Interface (API) within an IoT-based sensor fusion framework, the model supports real-time cardiovascular health monitoring. Achieving a classification accuracy of 98.7% in detecting arrhythmias, CardioNetFusion surpasses existing methodologies and offers a practical, reliable solution for early CVD diagnosis and management. Traditional methods of ECG analysis often have limitations in terms of diagnostic accuracy and interpretability. This paper proposes a CardioNetFusion model to address the challenges of conventional methods of ECG data analysis by leveraging advances in Deep Learning (DL) and Explainable AI (XAI). The proposed CardioNetFusion model integrates Convolutional Neural Networks (CNN), MobileNetV2, and VGG16 models to improve the robustness of ECG signal interpretation. Additionally, we utilized saliency maps to enhance model transparency and provide clear, actionable insights for healthcare professionals. Integrating application programming Interface (API) in the IoT-based sensor fusion approach to our proposed model facilitates seamless real-time monitoring of cardiovascular health. With an impressive 98.7% accuracy in arrhythmia classification, CardioNetFusion outperformed existing methods and ensured reliab

关键词： Deep learning Accuracy Explainable AI Medical services Electrocardiography Sensor fusion Robustness Real-time systems Convolutional neural networks application programming interfaces

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CUDA

CUDA

引用

IEEE Hot Chips Symposium (HCS)

作者： Ian Buck AIRBUS DS Electronics and Border Security GmbH Ulm Germany

This article consists of a collection of slides from the author's conference presentation. Some of the topics discussed include CUDA development and what's next for CUDA.

关键词： Graphics processing units Multicore processing Parallel processing application programming interfaces MATLAB

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Agriculture Field Monitoring and Plant Leaf Disease Detection

Agriculture Field Monitoring and Plant Leaf Disease Detectio...

引用

International Conference on Circuits, Systems, Communication and Information Technology applications (CSCITA)

作者： Rohit Nalawade Apoorv Nagap Lakhan Jindam Meena Ugale Xavier's Institute of Engineering Mumbai Maharashtra India

ISBN: (数字)9781728123394

ISBN: (纸本)9781728123400

Terrace gardens are becoming a common feature in today's urban environment. It is difficult to keep a track on the plant's growth and health. Various pathogens are present in the environment which severely affects the plants and the soil in which it is planted, thereby affecting the production. Current systems cannot help people about the disease with which the plants leaves are affected by and what steps should be taken in order to prevent it from being damaged. The proposed system provides the leaf disease detection along with complete surveillance of the field with real-time values of field factors like temperature, humidity, moisture, etc. i.e. real-time monitoring. User can automatically control the flow of water if not physically present via app, also the real-time values can be tracked.

关键词： leaf disease detection IoT API field monitoring dataset neural network sensor FIELD MONITORING Dataset Neural network Sensors Disease diagnosis foliage plant growth API application programming interfaces AXIAL POWER INDICATOR American Petroleum Institute

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Research of Efficiency of Multi-core Computers with Shared Memory

Research of Efficiency of Multi-core Computers with Shared M...

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IEEE International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)

作者： Dmytro Nedzelskyi Maryna Derkach Yehor Tatarchenko Svitlana Safonova Larisa Shumova Volodymyr Kardashuk Computer Science and Engineering Department V. Dahl East Ukrainian National University Severodonetsk Ukraine

ISBN: (数字)9781728144115

ISBN: (纸本)9781728144122

Efficient utilization of multi-core computers with shared memory depends on many factors. In this article efficiency of multi-core computers with shared memory is investigated. All computer cores execute either parallel streams of a single program, developed in accordance with the OpenMP API, or independent programs. There are no interactions between streams and independent programs. Both parallel and non-parallel (single stream) applications share memory where conflicts may occur. Models for determining the acceleration coefficients of a multi-core computer, analytical expressions which reflect the dependence of the acceleration coefficients on the number of cores, the properties performed the programs, cores and shared memory parameters and formulas for determine recommended numbers of cores for parallel applications in accordance with the OpenMP API are suggested. The main reason for the decrease in performance of multi-core computers with shared memory when parallelizing applications in accordance with the OpenMP API is the overload of shared memory.

关键词： application program interfaces message passing multiprocessing systems parallel programming public domain software shared memory systems shared memory application programming interfaces open source software shared memory systems Multiprocessing systems speedup factor Parallel programming message passing Computers core

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Learning analysis of mobile JavaScript frameworks

Learning analysis of mobile JavaScript frameworks

引用

Iberian Conference on Information Systems and Technologies (CISTI)

作者： Hugo Brito Álvaro Santos Jorge Bernardino Anabela Gomes Instituto Superior de Educacao e Ciencias Lisboa Lisboa PT

JavaScript is currently a popular language mainly in the creation of client-side code for both web development and, more and more, for the mobile applications development. In this paper, we analyze learning for programmers in frameworks for the development of mobile JavaScript applications, namely React Native, NativeScript and Ionic. This analysis was carried out based on a taxonomy adapted from Bloom, created in this work for the evaluation of programmers, with criteria initially selected for evaluation and with the application of questions based on the taxonomy in order to obtain the most relevant analysis criteria. The results show that NativeScript was the most difficult to learn framework with the most negative feedback, unlike Ionic and React Native, which presented identical global results, but with a slight upward trend in global mean results for React Native in relation to Ionic.

关键词： Software Tutorials Information systems Taxonomy application programming interfaces Mobile communication Negative feedback

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LYRICEL: A Rule-Augmented Artificial Intelligence-Empowered Cultural E-Learning with GPT and Machine Learning for Song Lyrics

LYRICEL: A Rule-Augmented Artificial Intelligence-Empowered ...

引用

International Conference on Information, Intelligence, Systems and applications (IISA)

作者： Dimitrios P. Panagoulias Dionisios Sotiropoulos Konstantina Chrysafiadi Evangelia-Aikaterini Tsichrintzi Evangelos Sakkopoulos George A. Tsihrintzis Maria Virvou Department of Informatics University of Piraeus Piraeus Greece National and Kapodistrian University of Athens Greece Athens Greece

ISBN: (数字)9798350368833

ISBN: (纸本)9798350368840

In this paper, we present LYRICEL, an advanced AI-enhanced system that combines a rule-based decision-making mechanism, OpenAI's application programming interface (API), and additional external machine learning and analytical APIs to deliver song lyrics recommendations for an e-learning platform dedicated to Greek music and songs. This new component enhances MUSILYAN, a specialised software tool designed for musicological and lyrical analysis, by complementing it with GPT4o's capabilities. While ChatGPT excels in natural language understanding and generation, MUSILYAN provides structured semantic content management and thematic organization of lyrics. The integration of the two modules in LYRICEL, holds significant promise for enhancing the exploration and understanding of poetry and lyrics, offering a robust framework for enriching cultural heritage e-learning experiences.

关键词： Electronic learning Content management Semantics Decision making Machine learning Organizations Chatbots Cultural differences Software tools application programming interfaces

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