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检索条件"任意字段=11th International Conference on Tools and Algorithms for the Construction and Analysis of Systems"

共 1634 条记录，以下是241-250 订阅

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Comparison of Commercial and Open Source ETL tools

Comparison of Commercial and Open Source ETL Tools

引用

international conference on Computational Cybernetics (ICCC)

作者： Milan Szilveszter György Molnár Enikő Nagy Óbuda University Budapest Hungary Kandó Kálmán Faculty of Electrical Engineering Óbuda University Budapest Hungary Apáczai Csere János Faculty of Humanities Education and Social Sciences Széchenyi University Budapest Hungary Antal Bejczy Center for Intelligent Robotics John von Neumann Faculty Óbuda University Budapest Hungary

ISBN: (数字)9798350350159

ISBN: (纸本)9798350350166

the extraction, transformation, and loading (ETL) process is a critical component in data integration. this article conducts a comprehensive comparative analysis between commercial and open source ETL tools, shedding light on their respective attributes, benefits, and drawbacks. the objective is to facilitate data professionals and organizations in making well-informed decisions when selecting ETL tools tailored to their specific requirements. this comparison meticulously assesses both commercial and open source ETL tools, scrutinizing aspects including functionality, performance, scalability, user-friendliness, and extensibility. Furthermore, it considers the ecosystem encompassing these tools, such as available connectors, plugins, and contributions from the community. Real-world case studies and practical user experiences are analyzed to furnish actionable insights into the strengths and limitations of each ETL tool category. Ultimately, the choice between commercial and open source ETL tools hinges on project-specific requisites, financial constraints, and the degree of customization sought. the survey shows that open-source tools can compete with those intended for the commercial market, especially for smaller companies or individual users.

关键词： Surveys Connectors Scalability Loading Ecosystems Data integration Computational cybernetics

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Toward an Android Static analysis Approach for Data Protection

Toward an Android Static Analysis Approach for Data Protecti...

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international conference on Mobile Software Engineering and systems (MOBILESoft)

作者： Mugdha Khedkar Eric Bodden Heinz Nixdorf Institute Paderborn University Paderborn Germany Heinz Nixdorf Institute Paderborn University and Fraunhofer IEM Paderborn Germany

ISBN: (数字)9798400705946

ISBN: (纸本)9798350363975

Android applications collecting data from users must protect it according to the current legal frameworks. Such data protection has become even more important since the European Union rolled out the General Data Protection Regulation (GDPR). Since app developers are not legal experts, they find it difficult to write privacy-aware source code. Moreover, they have limited tool support to reason about data protection throughout their app development process. this paper motivates the need for a static analysis approach to diagnose and explain data protection in Android apps. the analysis will recognize personal data sources in the source code, and aims to further examine the data flow originating from these sources. App developers can then address key questions about data manipulation, derived data, and the presence of technical measures. Despite challenges, we explore to what extent one can realize this analysis through static taint analysis, a common method for identifying security vulnerabilities. this is a first step towards designing a tool-based approach that aids app developers and assessors in ensuring data protection in Android apps, based on automated static program analysis. CCS CONCEPTS • Security and privacy $\rightarrow$ Social network security and privacy; • Software and its engineering $\rightarrow {Software ~maintenance ~tools}$.

关键词： Privacy Software maintenance Law Operating systems Source coding Soft sensors Static analysis

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analysis of the Comfort of Modern Buildings Considering Energy Conservation

Analysis of the Comfort of Modern Buildings Considering Ener...

引用

international Conf on Electrical and Electronic Engineering (ICEEE)

作者： Nurmammad Mammadov Gulnar Feyziyeva Samira Akbarova Israfil Mammadov Dept. of Construction of Engineering systems Water management Faculty Azerbaijan University of Architecture and Construction Baku Azerbaijan Dept. of Business economics and management Faculty of Economics Azerbaijan University of Architecture and Construction Baku Azerbaijan

ISBN: (数字)9798350362541

ISBN: (纸本)9798350362558

In December 2002, the “Directive on the Energy Performance of Buildings” was endorsed by European countries. EU member nations are mandated to integrate this directive into their national legislation promptly, considering the minimum energy efficiency standards for buildings. the Directive comprises two main documents: Document 1- “Final Energy Consumption” and Document 2 - “Energy Consumption in Residential Buildings across EU nations.” Implementing this Directive necessitates the formulation of a comprehensive standard with updated criteria for heating, ventilation, and air conditioning systems. the ultimate outcome of this Directive aims at certifying the energy efficiency of both existing and new constructions. Given that Azerbaijan has not yet adopted laws on energy efficiency, resulting in a lack of actual building certifications for both older and newer structures, absence of energy audits in the construction industry, and an unidentified potential for unused energy resources, notably thermal energy, it is clear that substantial work lies ahead in this area.

关键词： Air conditioning Energy resources Buildings Energy conservation Legislation Europe Ventilation Energy efficiency Standards thermal energy

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Analyzing Infrastructure as Code to Prevent Intra-update Sniping Vulnerabilities 27th

Analyzing Infrastructure as Code to Prevent Intra-update Sni...

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27th international conference on tools and algorithms for construction and analysis of systems (TACAS)

作者： Lepiller, Julien Piskac, Ruzica Schaf, Martin Santolucito, Mark Yale Univ New Haven CT 06520 USA Amazon Web Serv Nyc NY USA Columbia Univ Barnard Coll Nyc NY USA

ISBN: (纸本)9783030720124;9783030720131

Infrastructure as Code is a new approach to computing infrastructure management that allows users to leverage tools such as version control, automatic deployments, and program analysis for infrastructure configurations. this approach allows for faster and more homogeneous configuration of a complete infrastructure. Infrastructure as Code languages, such as CloudFormation or TerraForm, use a declarative model so that users only need to describe the desired state of the infrastructure. However, in practice, these languages are not processed atomically. During an upgrade, the infrastructure goes through a series of intermediate states. We identify a security vulnerability that occurs during an upgrade even when the initial and final states of the infrastructure are secure, and we show that those vulnerability are possible in Amazon's AWS and Google Cloud. We call such attacks intra-update sniping vulnerabilities. In order to mitigate this shortcoming, we present a technique that detects such vulnerabilities and pinpoints the root causes of insecure deployment migrations. We implement this technique in a tool, Hayha, that uses dataflow graph analysis. We evaluate our tool on a set of open-source CloudFormation templates and find that it is scalable and could be used as part of a deployment workflow.

关键词： Data flow analysis

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Neutron imaging software tools at the Oak Ridge National Laboratory 9

Neutron imaging software tools at the Oak Ridge National Lab...

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9th international Topical Meeting on Neutron Radiography, ITMNR 2022

作者： Bilheux, Jean C. Bilheux, Hassina Z. Zhang, Yuxuan Crompton, Rich Bedynek, Matthew J. Zhang, Chen Parker, Peter Granroth, Garrett Lin, Jiao Lumsden, Ian Sebold, Simon Neuwirth, Tobias Neutron Scattering Division Oak Ridge National Laboratory Oak RidgeTN United States Second Target Station Office Oak Ridge National Laboratory Oak RidgeTN United States Computer Science and Mathematics Division Oak Ridge National Laboratory Oak RidgeTN United States Neutron Systems Engineering & Support Oak Ridge National Laboratory Oak RidgeTN United States Technical University of Munich Lichtenbergstr. 1 Garching Germany

Over the past decade, Oak Ridge National Laboratory developed neutron capabilities at both the High Flux Isotope Reactor and the Spallation Neutron Source. A broad scientific portfolio has flourished at both facilities such that a new facility named VENUS is currently under construction at the Spallation Neutron Source. With a large range of applications, comes a broad range of user expertise regarding data processing, analysis, and visualization. Our team has developed and implemented a suite of tools to respond to all user needs. these tools span from data reduction, normalization, general tools such as organization of data folders, pre-processing of data, etc., to strain mapping, neutron grating interferometry, and advanced reconstruction algorithms for computed tomography. this manuscript provides an overview of some of the aforementioned tools. © 2023 Institute of Physics Publishing. All rights reserved.

关键词： Neutron sources

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Analyzing the Impact of Personalization on Fairness in Federated Learning for Healthcare

Analyzing the Impact of Personalization on Fairness in Feder...

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IEEE international conference on Healthcare Informatics (ICHI)

作者： Tongnian Wang Kai Zhang Jiannan Cai Yanmin Gong Kim-Kwang Raymond Choo Yuanxiong Guo Department of Information Systems and Cyber Security The University of Texas at San Antonio San Antonio USA School of Biomedical Informatics The University of Texas Health Science Center at Houston Houston USA School of Civil and Environmental Engineering and Construction Management The University of Texas at San Antonio San Antonio USA Department of Electrical and Computer Engineering The University of Texas at San Antonio San Antonio USA

Machine learning (ML) models have the potential to generate biased outcomes, which may exacerbate existing health disparities. With privacy regulations leading to data silos in health data, federated learning (FL) has emerged as a promising solution for this issue by enabling collaborative ML without patient data sharing. Personalization within FL aims to handle performance degradation that arises due to heterogeneous data distributions across organizations. However, the relationship between personalized FL and fairness remains unclear. this paper aims to investigate and analyze the potential impact of personalized FL on fairness for healthcare. Our analysis is expected to have significant implications for fairness in federated learning and healthcare.

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Road Crack Acquisition and analysis System Based on Mobile Robot and Deep Learning 11

Road Crack Acquisition and Analysis System Based on Mobile R...

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11th IEEE Annual international conference on CYBER Technology in Automation, Control, and Intelligent systems, CYBER 2021

作者： Zhu, Guijie Fan, Zhun Ma, Peili Huang, Wenning Ye, Zhihao Huang, Mingwei Li, Jiangli Jiang, Zhicheng Zhong, Zhuwei He, Weiyuan Guangdong Provincial Key Laboratory of Digital Signal and Image Processing College of Engineering Shantou University Shantou515063 China

ISBN: (纸本)9781665425278

In this paper, a road crack acquisition and analysis system based on mobile robot and deep learning is proposed. First, a virtual reality technology-based omnidirectional mobile robot is developed to remotely collect detailed road crack images. Next, an image dataset including different kinds of crack images collected by the mobile robot is constructed and utilized for training and testing a deep convolutional neural network (DCNN) model. Following this, the trained model is used to identify and segment the crack images acquired from the robot, and to facilitate the inspector to know the road surface condition, crack information (crack length, crack width, and crack area) is obtained using an image processing method. Finally, the proposed system and method are applied to a campus road, which realizes the accurate acquisition and analysis of road crack information, thus demonstrating the feasibility and effectiveness of the proposed system and method. © 2021 IEEE.

关键词： Mobile robots

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dtControl 2.0: Explainable Strategy Representation via Decision Tree Learning Steered by Experts 27th

dtControl 2.0: Explainable Strategy Representation via Decis...

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27th international conference on tools and algorithms for construction and analysis of systems (TACAS)

作者： Ashok, Pranav Jackermeier, Mathias Kretinsky, Jan Weinhuber, Christoph Weininger, Maximilian Yadav, Mayank Tech Univ Munich Munich Germany IIT Delhi Dept Comp Sci & Engn New Delhi India

ISBN: (纸本)9783030720124;9783030720131

Recent advances have shown how decision trees are apt data structures for concisely representing strategies (or controllers) satisfying various objectives. Moreover, they also make the strategy more explainable. the recent tool dtControl had provided pipelines with tools supporting strategy synthesis for hybrid systems, such as SCOTS and Uppaal Stratego. We present dtControl 2.0, a new version with several fundamentally novel features. Most importantly, the user can now provide domain knowledge to be exploited in the decision tree learning process and can also interactively steer the process based on the dynamically provided information. To this end, we also provide a graphical user interface. It allows for inspection and re-computation of parts of the result, suggesting as well as receiving advice on predicates, and visual simulation of the decision-making process. Besides, we interface model checkers of probabilistic systems, namely STORM and PRISM and provide dedicated support for categorical enumeration-type state variables. Consequently, the controllers are more explainable and smaller.

关键词： Strategy representation Controller representation Decision Tree Explainable Learning Hybrid systems Probabilistic Model Checking Markov Decision Process

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Decentralized Ventilation System in Classrooms – analysis on the Indoor Air Quality and Energy Consumption

Decentralized Ventilation System in Classrooms – Analysis o...

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international conference on ENERGY and ENVIRONMENT (CIEM)

作者： Tiberiu Catalina Andrei Damian Andreea Vartires Alina Dima Vasilica Vasile Faculty of Building Services Technical University of Civil Engineering Bucharest Romania National Institute for Research-Development in Construction Urbanism and Sustainable Territorial Development-INCD URBAN-INCERC Bucharest Romania

the health, academic performance, and general well-being of pupils and staff are negatively impacted by poor indoor air quality (IAQ) in schools. Breathing problems, allergies, and asthma have been related to poor indoor air quality (IAQ). By eliminating contaminants and allowing for sufficient air exchange, ventilation systems play a critical role in keeping indoor air quality in schools at a healthy level. However, the energy needs of these systems may increase school operating expenses and could have an adverse effect on the environment. Variables including system type, building characteristics, occupancy, and temperature affect the energy consumptions for ventilation use. Natural ventilation, mechanical ventilation, and hybrid ventilation systems have all been the subject of recent research into their effects on indoor air quality and student comfort in the classroom. By comparing the efficacy of four distinct decentralized ventilation systems, this research hopes to add to the knowledge of IAQ and energy consumption in educational institutions. Heat recovery ventilation and demand-controlled ventilation are tested, along with their effects on indoor air quality, thermal comfort, and energy consumption. this research will enhance IAQ by shedding light on how to design and operate ventilation systems in educational institutions, while decreasing energy use and expenditures.

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Mobile Micro-Learning in English Vocabulary Learning

Mobile Micro-Learning in English Vocabulary Learning

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Information and Education Technology (ICIET), international conference on

作者： Yunzhu Chen Jirarat Sitthiworachart School of Industrial Education and Technology King Mongkut’s Institute of Technology Ladkrabang Ladkrabang Bangkok

With the development of technology in recent years, teachers, in educational settings, are more accessible to utilize various digital media tools in teaching procedures than ever before. Micro-learning has been referred to enhance foreign language learning and performance in the most efficient and effective method possible through short pieces of content. However, few studies investigated the effect of micro-learning on English word learning for those who are ESL learners using a specific mobile application. therefore, this study aims to find out what factors affect the English wording learning of College students using Superstar, which is a mobile application with micro-learning. Evaluating how micro-learning promotes the capacity, motivation, and satisfaction of English word learning than the traditional learning method. Mixed methods research was used to collect data from 84 freshman in China. the results indicate that using Superstar to learn English vocabulary help to improve the capacity and motivation of college students in English word learning. Superstar as a mobile application for English word learning might be helpful for ESL learners as well.

关键词： Learning systems Vocabulary Data analysis Education Media Mobile applications

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