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13th conference on software engineering and databases, JISBD'08

作者： Moreira, Ana Departamento de Informática Faculdade de Ciências e Tecnologia Universidade Nova de Lisboa Portugal

this number of the journal IEEE América Latina includes a selection of the best papers presented at the 13th conference on software engineering and databases, organized in Gijón (Spain) in October, 7 to 10, ... 详细信息

关键词： software design

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13th conference on software engineering and databases, JISBD'08

13th Conference on Software Engineering and Databases, JISBD...

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13th conference on software engineering and databases, JISBD'08

the proceedings contain 15 papers. the topics discussed include: a prototype for querying over LZCS transformed documents;MEPLAMECAL: a methodology based on ISO/IEC 15939 to elaborate data quality measurement plans;software artifact prioritization based on the frequency of use;finding defective software modules by means of data mining techniques;next generation mashups: how to create my own services in a convergent world;new business models: user generated services;speech into sign language statistical translation system for deaf people;eye gaze correction to guarantee eye contact in videoconferencing;business enhancement and creation in rural environments through a control middleware that introduces NGN enablers;security model for next generation collaborative working environments;and dynamic management of ICT service infrastructures for energy efficiency optimization.

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Improving Federated Learning Efficiency with PruneFL: A Healthcare Perspective 24

Improving Federated Learning Efficiency with PruneFL: A Heal...

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13th International conference on Computing and Pattern Recognition, ICCPR 2024

作者： Shahid, Alvina Arshad, Muhammad Muneeb Azam, Farooque Anwar, Muhammad Waseem Shafi, Imran Department of Computer and Software Engineering EME College National University of Sciences and Technology Punjab Islamabad Pakistan School of Interdisciplinary Engineering and Sciences National University of Sciences and Technology Punjab Islamabad Pakistan

ISBN: (纸本)9798400717482

In healthcare, accessing diverse and large datasets for machine learning poses challenges due to data privacy concerns. Federated learning (FL) addresses this by training models on decentralized data while preserving privacy. We propose PruneFL, a FL paradigm that leverages model pruning to reduce complexity and enhance efficiency. PruneFL strikes a balance between model accuracy and efficiency by reducing parameters, accelerating convergence, and minimizing communication overhead. Our approach addresses critical FL challenges and demonstrates efficacy in resource-constrained environments like healthcare. © 2024 Copyright held by the owner/author(s).

关键词： Federated learning

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Classification of Ventricular Arrhythmias based on Sparse Noise Reduction and Multi-Source Feature Fusion 24

Classification of Ventricular Arrhythmias based on Sparse No...

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13th International conference on Bioinformatics and Biomedical Science, ICBBS 2024

作者： Cai, Zhipeng Shen, Yumin Yuan, Yuan School of Instrument Science and Engineering Southeast University Jiangsu Nanjing China The Affiliated Jiangning Hospital of Nanjing Medical University Jiangsu Nanjing China

ISBN: (纸本)9798400717956

Accurate classification of ventricular arrhythmias is crucial for effective diagnosis and treatment. this study addresses the challenge of detecting these arrhythmias by employing a novel approach combining sparse noise reduction and multi-source feature fusion. Utilizing the MIT-BIH-AR database, we applied a multi-classification algorithm and evaluated its performance through five-fold cross-validation, achieving an average accuracy of 0.9937. the model was further tested on the INCART and wearable dynamic databases, demonstrating robust performance with accuracies of 0.9840 and 0.9899, respectively. the proposed method effectively mitigates the impact of electrode motion artifacts, enhancing classification accuracy and F1 scores across different conditions. Despite its effectiveness, the method shows limited improvement in detecting left and right bundle branch blocks, suggesting a need for preprocessing to address poor-quality segments and refining sparse denoising techniques. Overall, this study validates the potential of integrating sparse denoising and multi-source feature fusion for advanced arrhythmia classification, offering significant improvements in noise resistance and cross-database generalizability. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Noise abatement

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Adaptive Local Neighborhood Window Laplacian Eigenmaps 24

Adaptive Local Neighborhood Window Laplacian Eigenmaps

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13th International conference on Computing and Pattern Recognition, ICCPR 2024

作者： Xu, Jiayi Huang, Qirui Zhao, Yang Pei, Jihong Yang, Xuan College of Electronics and Information Engineering Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen Guangdong China College of Computer Science and Software Engineering Shenzhen University Shenzhen Guangdong China

ISBN: (纸本)9798400717482

Manifold learning method is a dimensionality reduction method that treats the data in non-Euclidean space as a Euclidean space in a local scope. However, most existing manifold learning methods cannot obtain the true neighborbood relationship of each sample point well. therefore, we propose a manifold learning method based on adaptive local neighborhood. this method can adaptively select a neighborhood window. It can be approximated as a local Euclidean space based on the sample characteristics. To implement this method, a specific manifold learning method, named Laplacian Eigenmap of Adaptive Local Neighborhood Window (ALNWLE) is proposed. ALNWLE mainly contains two modules, namely the manifold structure learning module (MSLM) and the manifold structure pattern recognition module (MSPR). MSLM constructs an adaptive local neighborhood adjacency matrix to constrain the learning of the manifold structure. MSPR uses the interpolation method to recognize new sample patterns. the adaptive local neighborhood method proposed in this paper is a general method which is applicable to any manifold learning method. © 2024 Copyright held by the owner/author(s).

关键词： Dimensionality reduction

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A Non-Intrusive Load Monitoring Method Based on Relative Position Matrix and Residual Network 13

A Non-Intrusive Load Monitoring Method Based on Relative Pos...

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13th International conference on Intelligent Control and Information Processing, ICICIP 2025

作者： Huang, Jin-Yang Chen, Chun-Hua Jiang, Yi Yan, Junwei Zhang, Jun Zhan, Zhi-Hui School of Software Engineering South China University of Technology Guangzhou China Department of Electrical and Electronic Engineering Hanyang University Ansan Korea Republic of School of Mechanical and Automotive Engineering South China University of Technology Guangzhou China College of Artificial Intelligence Nankai University Tianjin China

ISBN: (纸本)9798331516147

Non-Intrusive Load Monitoring (NILM) technology identifies various appliances’ types and operational status by analyzing electrical data collected from sensors in residential or commercial buildings, offering significant practical value. However, due to the limitations of existing methods for constructing appliance features, the identification performance of NILM models needs improvement. Addressing this, we propose a method for constructing appliance features based on a relative position matrix (RPM), which more accurately captures the temporal characteristics of electrical data compared to other methods. Additionally, a deep learning model based on the improved ResNet18 with multi-scale fusion is proposed for the load identification task. In this paper, comparative experiments were conducted on the PLAID dataset. We compared the RPM with three appliance feature construction methods: voltage-current trajectory (VI), markov transition field (MTF), and gramian angular field (GAF). We also compared our results with advanced methods reported in other literature. the results show that this method outperforms existing methods in terms of precision, recall, and F1 score across various evaluation metrics. © 2025 IEEE.

关键词： Markov processes

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Numerical simulation of 50mm thick Q420 steel plate welding with multi-layer and multi-pass welding process 13

Numerical simulation of 50mm thick Q420 steel plate welding ...

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13th Global conference on Materials Science and engineering, CMSE 2024

作者： Sun, Xuejun Yao, Jianzhong Mao, Congbing Wei, Jiacheng China Construction Third Engineering Group Co. Ltd Guanshan Road Hubei Province Wuhan City China Dept. of Civil Engineering China Agricultural University College of Water Resources and Civil Engineering Haidian District Beijing China

this study uses finite element software to simulate and analyze a multi-layer, multi-pass (seven layers and twenty-two passes) welding technique applied to V-groove butt weld for 50mm thick Q420 steel plates. the simulation accurately depicts the temperature distribution during the welding process using a double ellipsoid heat source model. Temperatures gradually increase along each weld pass trajectory until reaching peak values exceeding 2000°C at specific points, while the underlying base metal reaches temperatures as high as 300°C. By examining metallic phases' spatial allocation and compositional characteristics alongside thermal distribution after extensive welding simulations, these findings provide valuable insights for optimizing multi-layer, multi-pass welding procedures related to Q420 steel plates. © Published under licence by IOP Publishing Ltd.

关键词： Butt welding

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Editorial for the special section on Empirical Studies in software engineering Selected, and extended papers from the Eighteenth International conference on Evaluation and Assessment in software engineering, May 13th-14th 2014, London, UK

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INFORMATION AND software TECHNOLOGY 2015年第Aug.期64卷 74-75页

作者： Hall, Tracy Counsell, Steve Myrtveit, Ingunn Brunel Univ Dept Comp Sci Uxbridge UB8 3PH Middx England BI Norwegian Business Sch Oslo Norway

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Impact of weld pool geometry on the welding temperature field of 50mm thick Q460-GJ steel plates 13

Impact of weld pool geometry on the welding temperature fiel...

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13th Global conference on Materials Science and engineering, CMSE 2024

作者： Sun, Xuejun Mao, Congbing Fu, Yanqing Cui, Haixin Ma, Guangzhe China Construction Third Engineering Group Co. Ltd Guanshan Road Hubei Province Wuhan City China Central Research Institute of Building and Construction Co. Ltd. MCC Xitucheng Road Haidian District Beijing China Dept. of Civil Engineering China Agricultural University College of Water Resources and Civil Engineering Haidian District Beijing China

this article utilizes finite element software to calculate and analyze the impact of the molten pool geometry on the welding temperature field during the multi-layer and multi-pass welding process of Q460-GJ steel plates. Addressing the issue of how the molten pool shape affects the peak temperature and temperature distribution of each weld pass during welding, a finite element simulation was conducted for a thick plate with seven layers and 22 weld passes using numerical simulation. By adjusting the size of the double-ellipsoidal heat source model, finite element results considering the impact of the molten pool geometry were obtained. the results show that in the model without considering the molten pool geometry, the temperature of each weld pass ranges from 900°C to 2400°C, with 85% of the area having a temperature higher than 1500°C. In contrast, in the model considering the molten pool geometry, the temperature of each weld pass ranges from 2000°C to 2200°C, with 100% of the area having a temperature higher than 1500°C. the results considering the molten pool geometry are more consistent with the actual conditions. © Published under licence by IOP Publishing Ltd.

关键词： Temperature scales

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LTB25: 13th International Workshop on Load Testing and Benchmarking of software Systems 25

LTB25: 13th International Workshop on Load Testing and Bench...

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Companion of the 16th ACM/SPEC International conference on Performance engineering

作者： Stephen Fan Lizhi Liao Zhenhao Li The Kings University Edmonton Canada Memorial University of Newfoundland St. John's Canada York University Toronto Canada

ISBN: (纸本)9798400711305

It is our great pleasure to welcome you to the 13th edition of the International Workshop on Load Testing and Benchmarking of software Systems - LTB 2025, (https://***). this workshop brings together software testing and software performance researchers, practitioners, and tool developers to discuss the challenges and opportunities of conducting research on load testing and benchmarking software systems, including theory, applications, and experiences. LTB 2025 includes 1 keynote talk and 4 research papers. the topics cover AIOps, performance and load testing, workload tracing, benchmarking, and performance verification.

关键词： benchmark

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