Applied Computing Review最新文献_第5页

Model-Driven Integration and the OSLC Standard: a Mapping of Applied Studies 模型驱动的集成和OSLC标准:应用研究的映射

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577761

F. Basso, Bruno Marcelo Soares Ferreira, Rafael Torres, R. Z. Frantz, D. Kreutz, Maicon Bernardino, Elder de Macedo Rodrigues

{"title":"Model-Driven Integration and the OSLC Standard: a Mapping of Applied Studies","authors":"F. Basso, Bruno Marcelo Soares Ferreira, Rafael Torres, R. Z. Frantz, D. Kreutz, Maicon Bernardino, Elder de Macedo Rodrigues","doi":"10.1145/3555776.3577761","DOIUrl":"https://doi.org/10.1145/3555776.3577761","url":null,"abstract":"Open Services for Lifecycle Collaboration (OSLC) is an open standard for tool interoperability, which allows data federation throughout Software Engineering (SE) application lifecycles. The OSLC community has been active since 2008, and there is still an open question: \"What is the state-of-the-art and practice of OSLC for tool integration in Application Lifecycle Management (ALM) for Software Engineering environments?\". Objective: To answer this question, our main goal is to map the state-of-the-art and practice on the adoption of OSLC in SE lifecycles. Method: This paper presents a Systematic Mapping Study (SMS) by analyzing 59 primary studies and addressing integration issues such as building SE toolchains. Results: Our findings show that OSLC has been mostly implemented with the development of adapters and MDE. Conclusions: The main advantages of OSLC are related to linked data, involving not only tool adapters for point-to-point integrations, but also proposing solutions for tool replacement in the toolchain, as well as including modifications of OSLC domain specifications and solutions for automated activities for tool integration.","PeriodicalId":42971,"journal":{"name":"Applied Computing Review","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89285469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Exploring Candlesticks and Multi-Time Windows for Forecasting Stock-Index Movements 探索烛台和多时间窗口预测股指走势

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577604

Kanghyeon Seo, Jihoon Yang

引用次数: 0

FedFAME: A Data Augmentation Free Framework based on Model Contrastive Learning for Federated Semi-Supervised Learning 联邦半监督学习中基于模型对比学习的数据增强自由框架

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577613

Shubham Malaviya, Manish Shukla, Pratik Korat, S. Lodha

引用次数: 0

A Multi-layered Collaborative Framework for Evidence-driven Data Requirements Engineering for Machine Learning-based Safety-critical Systems 基于机器学习的安全关键系统证据驱动数据需求工程的多层协作框架

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577647

Sangeeta Dey, Seok-Won Lee

{"title":"A Multi-layered Collaborative Framework for Evidence-driven Data Requirements Engineering for Machine Learning-based Safety-critical Systems","authors":"Sangeeta Dey, Seok-Won Lee","doi":"10.1145/3555776.3577647","DOIUrl":"https://doi.org/10.1145/3555776.3577647","url":null,"abstract":"In the days of AI, data-centric machine learning (ML) models are increasingly used in various complex systems. While many researchers are focusing on specifying ML-specific performance requirements, not enough guideline is provided to engineer the data requirements systematically involving diverse stakeholders. Lack of written agreement about the training data, collaboration bottlenecks, lack of data validation framework, etc. are posing new challenges to ensuring training data fitness for safety-critical ML components. To reduce these gaps, we propose a multi-layered framework that helps to perceive and elicit data requirements. We provide a template for verifiable data requirements specifications. Moreover, we show how such requirements can facilitate an evidence-driven assessment of the training data quality based on the experts' judgments about the satisfaction of the requirements. We use Dempster Shafer's theory to combine experts' subjective opinions in the process. A preliminary case study on the CityPersons dataset for the pedestrian detection feature of autonomous cars shows the usefulness of the proposed framework for data requirements understanding and the confidence assessment of the dataset.","PeriodicalId":42971,"journal":{"name":"Applied Computing Review","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89390161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AI4CITY - An Automated Machine Learning Platform for Smart Cities AI4CITY——智能城市的自动机器学习平台

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3578740

P. Pereira, Carlos Gonçalves, Lara Lopes Nunes, P. Cortez, A. Pilastri

引用次数: 0

Dynamic Controllability of Parameterized CSTNUs 参数化CSTNUs的动态可控性

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577618

M. Franceschetti, Roberto Posenato, Carlo Combi, Johann Eder

引用次数: 0

CEM: an Ontology for Crime Events in Newspaper Articles 报纸文章中犯罪事件的本体

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577862

Federica Rollo, Laura Po, Alessandro Castellucci

引用次数: 1

Student Research Abstract: A Hybrid Approach to Design Embedded Software Using JavaScript's Non-blocking Principle 学生研究摘要:利用JavaScript的非阻塞原理设计嵌入式软件的混合方法

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577210

Fernando L. Oliveira

{"title":"Student Research Abstract: A Hybrid Approach to Design Embedded Software Using JavaScript's Non-blocking Principle","authors":"Fernando L. Oliveira","doi":"10.1145/3555776.3577210","DOIUrl":"https://doi.org/10.1145/3555776.3577210","url":null,"abstract":"Embedded Systems (ES) are present in several domains like automotive, smart homes, smart cities, industry, and healthcare, to name but a few. ES brings new challenges to designing embedded software that requires a high level of abstraction and being aware of resource consumption, mainly on resource-constrained devices. Modern programming languages like JavaScript (JS) can help solve these issues. However, JS is an interpreted language that demands attention to develop applications considering the balance between performance and resource consumption. In this scenario, this paper introduces an architecture design that proposes to model software for embedded systems as event-driven applications. Our design combines traditional architectures traits of Time-triggered (TT) and Event-triggered (ET) into a framework named JSEVAsync, promoting a hybrid system that explores JavaScript's non-blocking concept as a development interface to structure the algorithms into asynchronous units. As a result, we aid the development of applications with high abstraction levels and better resource consumption. To validate it, we compare C- and JavaScript-based applications, analyze the source code (static code analysis) to extract software quality metrics, and explore the results from the energy consumption perspective. We found that writing code through JSEVAsync can be up to 21% more energy efficient than the traditional method and can improve design-time metrics.","PeriodicalId":42971,"journal":{"name":"Applied Computing Review","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79933869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The EVIL Machine: Encode, Visualize and Interpret the Leakage 邪恶的机器:编码，可视化和解释泄漏

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577688

Valence Cristiani, Maxime Lecomte, P. Maurine

{"title":"The EVIL Machine: Encode, Visualize and Interpret the Leakage","authors":"Valence Cristiani, Maxime Lecomte, P. Maurine","doi":"10.1145/3555776.3577688","DOIUrl":"https://doi.org/10.1145/3555776.3577688","url":null,"abstract":"Unsupervised side-channel attacks allow extracting secret keys manipulated by cryptographic primitives through leakages of their physical implementations. As opposed to supervised attacks, they do not require a preliminary profiling of the target, constituting a broader threat since they imply weaker assumptions on the adversary model. Their downside is their requirement for some a priori knowledge on the leakage model of the device. On one hand, stochastic attacks such as the Linear Regression Analysis (LRA) allow for a flexible a priori, but are mostly limited to a univariate treatment of the traces. On the other hand, model-based attacks require an explicit formulation of the leakage model but have recently been extended to multidimensional versions allowing to benefit from the potential of Deep Learning (DL) techniques. The EVIL Machine Attack (EMA), introduced in this paper, aims at taking the best of both worlds. Inspired by generative adversarial networks, its architecture is able to recover a representation of the leakage model, which is then turned into a key distinguisher allowing flexible a priori. In addition, state-of-the-art DL techniques require 256 network trainings to conduct the attack. EMA requires only one, scaling down the time complexity of such attacks by a considerable factor. Simulations and real experiments show that EMA is applicable in cases where the adversary has very low knowledge on the leakage model, while significantly reducing the required number of traces compared to a classical LRA. Eventually, a generalization of EMA, able to deal with masked implementation is introduced.","PeriodicalId":42971,"journal":{"name":"Applied Computing Review","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77580079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Automatic Pain Assessment with Ultra-short Electrodermal Activity Signal 超短皮肤电活动信号自动疼痛评估

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577721

Xinwei Ji, Tianming Zhao, Wei Li, Albert Y. Zomaya

引用次数: 0