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作者： Rahal, Hakima Rym Slatnia, Sihem Kazar, Okba Barka, Ezedin Harous, Saad Computer Science Department LINFI Laboratory University of Mohammed Khider Biskra Biskra Algeria College of Information Technology University of the United Arab Emirates Al Ain United Arab Emirates Computer Science Department College of Computing and Informatics University of Sharjah Sharjah27272 United Arab Emirates

Misdiagnosis is a critical issue in healthcare, which can lead to severe consequences for patients, including delayed or inappropriate treatment, unnecessary procedures, psychological distress, financial burden, and legal implications. To mitigate this issue, we propose using deep learning algorithms to improve diagnostic accuracy. However, building accurate deep learning models for medical diagnosis requires substantial amounts of high-quality data, which can be challenging for individual healthcare sectors or organizations to acquire. Therefore, combining data from multiple sources to create a diverse dataset for efficient training is needed. However, sharing medical data between different healthcare sectors can be problematic from a security standpoint due to sensitive information and privacy laws. To address these challenges, we propose using blockchain technology to provide a secure, decentralized, and privacy-respecting way to share locally trained deep learning models instead of the data itself. Our proposed method of model ensembling, which combines the weights of several local deep learning models to build a single global model, that enables accurate diagnosis of complex medical conditions across multiple locations while preserving patient privacy and data security. Our research demonstrates the effectiveness of this approach in accurately diagnosing three diseases (breast cancer, lung cancer, and diabetes) with high accuracy rates, surpassing the accuracy of local models and building a multi-diagnosis application. © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH, DE.

关键词： Smart contract

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Testing Cyber-Physical Production System: Test Methods Categorization and dataset 4

Testing Cyber-Physical Production System: Test Methods Categ...

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4th International Conference on Pattern Analysis and Intelligent Systems, PAIS 2022

作者： Oudina, Zina Derdour, Makhlouf Bouhamed, Mohammed Mounir Badji Mokhtar-Annaba University Lase Laboratory Department of Computer Science Annaba Algeria Oum El Bouaghi University Lrs Laboratory Department of Computer Science Oum E1 Bouaghi Algeria Abdelhamid Mehri University Misc Laboratory Department of Computer Science Constantine Algeria

ISBN: (数字)9781665461610

ISBN: (纸本)9781665461610

Developing High-confidence Cyber-Physical Production System (CPPS) is essential to ensure system efficacy and safety. Engineering requirements for CPPS is quite tricky because of system heterogeneity. Moreover, system bugs and malfunctions may occur, requiring a test to ensure the robustness of CPPSs. There are several kinds of CPPS test Methods in research. This work aims to categorize test methods of cyber-physical production systems in research. We follow a Systematic Lit-erature Review (SLR) method to review existing research. We synthesize a dataset of 220 papers published from 2006 until 2021 seeking to survey and give structured research in the area of the CPPS test. We categorized CPPS test methods by presenting traditional methods of CPPS tests, such as formal techniques and simulation, in addition to the most used methods as testbed and containerization. We also presented used tools for testing CPPSs, and the objectives of testing CPPS. © 2022 IEEE.

关键词： Cyber Physical System

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Empirically revisiting and enhancing automatic classification of bug and non-bug issues

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Frontiers of computer science 2024年第5期18卷 25-44页

作者： Zhong LI Minxue PAN Yu PEI Tian ZHANG Linzhang WANG Xuandong LI State Key Laboratory for Novel Software Technology Nanjing UniversityNanjing 210023China Department of Computer Science and Technology Nanjing UniversityNanjing 210023China Software Institute Nanjing UniversityNanjing 210093China Department of Computing The Hong Kong Polytechnic UniversityHong KongChina

A large body of research effort has been dedicated to automated issue classification for Issue Tracking Systems(ITSs).Although the existing approaches have shown promising performance,the different design choices,including the different textual fields,feature representation methods and machine learning algorithms adopted by existing approaches,have not been comprehensively compared and *** fill this gap,we perform the first extensive study of automated issue classification on 9 state-of-the-art issue classification *** experimental results on the widely studied dataset reveal multiple practical guidelines for automated issue classification,including:(1)Training separate models for the issue titles and descriptions and then combining these two models tend to achieve better performance for issue classification;(2)Word embedding with Long Short-Term Memory(LSTM)can better extract features from the textual fields in the issues,and hence,lead to better issue classification models;(3)There exist certain terms in the textual fields that are helpful for building more discriminating classifiers between bug and non-bug issues;(4)The performance of the issue classification model is not sensitive to the choices of ML *** on our study outcomes,we further propose an advanced issue classification approach,DEEPLABEL,which can achieve better performance compared with the existing issue classification approaches.

关键词： issue tracking issue type prediction empirical study

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A Hybrid Medical Images Watermarking Technique Using DWT and DCT 7th

A Hybrid Medical Images Watermarking Technique Using DWT and...

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7th International Conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES 2023

作者： Hamami, Rania Zermi, Narima Boubchir, Larbi Khaldi, Amine LASA Laboratory Faculty of Technology Badji Mokhtar Annaba University P.O. BOX 12 Annaba23000 Algeria LIASD Laboratory Department of Computer Science University of Paris 8 Saint-Denis93526 France Computer Science Department Faculty of Sciences and Technology Artificial Intelligence and Information University of Kasdi Merbah Ouargla Algeria

ISBN: (纸本)9783031606311

Medical images, such as X-rays, MRI scans, and CT scans, play an important role in diagnosing and treating various diseases. However, the sensitive nature of these images requires protection against unauthorized use and distribution. This article presents a novel approach for embedding hospital logos, patient information, and hospital/doctor details into medical images using a combination of wavelet transform and discrete cosine transform, To ensure enhanced security and robustness, we hash the watermark data using the MD5 algorithm before the embedding. Experimental results demonstrate the exceptional performance of the proposed technique, with a peak signal-to-noise ratio (PSNR) exceeding 50 dB, and very good robustness against attacks. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Discrete cosine transforms

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Porous FeP/FeO Deposited on Carbon Cloth with Accelerated Kinetics for the Hydrogen Evolution Reaction

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Journal of Wuhan University of Technology(Materials science) 2024年第6期39卷 1434-1439页

作者： YU Hai ZHAO Yujia LIU Su ZUO Lei LEI Qianqian HU Ruiling LU Jianguo ZHAO Min WANG Congrong WANG Cunyong ZHANG Miao YANG Lei ZHONG Jin CAO Chunbin School of Physics and Materials Engineering and Key Laboratory for Photoelectric Detection Science and Technology of Education Department of Anhui Province Hefei Normal UniversityHefei 230601China School of Physics and Material Science Anhui UniversityHefei 230039China Department of Chemistry and Materials Engineering Hefei UniversityHefei 230601China School of Computer Science and Technology Hefei Normal UniversityHefei 230601China School of Science Anhui Agricultural UniversityHefei 230036China

FeP/FeO was prepared on carbon cloth(CC)via hydrothermal method,heat treatment in air,and phosphorization in ***/FeO/CC presents a porous and loose morphology which is conducive to the exposure of active sites and the transfer of ***/FeO/CC requires the low overpotentials of 257 and 117 mV(*** hydrogen electrode(RHE))to achieve the current density of 10 mA_·cm^(-2)for oxygen evolution reaction(OER)and hydrogen evolution reaction(HER)in alkaline KOH solution,*** small Tafel slope values of 36.1 mV_·dec^(-1)(for OER)and 96.2 mV_·dec^(-1)(for HER)indicate that FeP/FeO/CC exhibits the fast electrocatalytic reactive kinetics for OER and *** particular,the reaction kinetics of FeP/FeO/CC accelerated with the progress of *** charge-transfer resistance(R_(ct))of FeP/FeO/CC is only 11Ω.Excellent bifunctional electrocatalytic performances of FeP/FeO/CC should be attributed to the porous morphology and the lower charge-transfer resistance.

关键词： FeP/FeO/CC OER HER water splitting

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User story clustering in agile development:a framework and an empirical study

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Frontiers of computer science 2023年第6期17卷 43-59页

作者： Bo YANG Xiuyin MA Chunhui WANG Haoran GUO Huai LIU Zhi JIN School of Information Science and Technology Beijing Forestry UniversityBeijing 100083China Engineering Research Center for Forestry Oriented Intelligent Information Processing National Forestry and Grassland AdministrationBeijing 100083China School of Information Science and Technology North China University of TechnologyBeijing 100144China College of Computer Science and Technology Inner Mongolia Normal UniversityHohhot 010020China Department of Computer Science and Software Engineering Swinburne University of TechnologyHawthorn VIC 3122Australia Key Laboratory of High Confidence Software Technologies(Peking University) Ministry of EducationBeijing 100871China Institute of Software School of Computer SciencePeking UniversityBeijing 100871China

Agile development aims at rapidly developing software while embracing the continuous evolution of user requirements along the whole development *** stories are the primary means of requirements collection and elicitation in the agile development.A project can involve a large amount of user stories,which should be clustered into different groups based on their functionality’s similarity for systematic requirements analysis,effective mapping to developed features,and efficient ***,the current user story clustering is mainly conducted in a manual manner,which is time-consuming and subjective to human *** this paper,we propose a novel approach for clustering the user stories automatically on the basis of natural language ***,the sentence patterns of each component in a user story are first analysed and determined such that the critical structure in the representative tasks can be automatically extracted based on the user story *** similarity of user stories is calculated,which can be used to generate the connected graph as the basis of automatic user story *** evaluate the approach based on thirteen datasets,compared against ten baseline *** results show that our clustering approach has higher accuracy,recall rate and F1-score than these *** is demonstrated that the proposed approach can significantly improve the efficacy of user story clustering and thus enhance the overall performance of agile *** study also highlights promising research directions for more accurate requirements elicitation.

关键词： user story agile development user story mapping clustering

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The Full Rank Condition for Sparse Random Matrices 26

The Full Rank Condition for Sparse Random Matrices

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26th International Conference on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2023 and the 27th International Conference on Randomization and Computation, RANDOM 2023

作者： Coja-Oghlan, Amin Gao, Jane Hahn-Klimroth, Max Lee, Joon Müller, Noela Rolvien, Maurice Department of Computer Science TU Dortmund Germany Department of Combinatorics and Optimization University of Waterloo Canada Communication Theory Laboratory École Polytechnique Fédérale de Lausanne Switzerland Department of Mathematics and Computer Science Eindhoven University of Technology Netherlands

ISBN: (纸本)9783959772969

We derive a sufficient condition for a sparse random matrix with given numbers of non-zero entries in the rows and columns having full row rank. Inspired by low-density parity check codes, the family of random matrices that we investigate is very general and encompasses both matrices over finite fields and {0,1}-matrices over the rationals. The proof combines statistical physics-inspired coupling techniques with local limit arguments. © 2023 Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. All rights reserved.

关键词： Statistical Physics

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Astrometric Observations of NEA 1998 HH49 Using the Daocheng 50 cm Telescope

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Research in Astronomy and Astrophysics 2024年第7期24卷 71-78页

作者： Huan Xu Xiang-Ming Cheng Yi-Gong Zhang Teng-Fei Song Zhen-Jun Zhang Qing-Yu Peng Yunnan Observatories Chinese Academy of SciencesKunming 650216China University of Chinese Academy of Sciences Beijing 100049China Key Laboratory of the Structure and Evolution of Celestial Objects Chinese Academy of SciencesKunming 650216China Engineering Laboratory on Applied Astronomical Technology of Yunnan Kunming 650216China School of Information Engineering Kunming UniversityKunming 650214China School of Computer Science and Information Engineering Anyang Institute of TechnologyAnyang 455000China Department of Computer Science Jinan UniversityGuangzhou 510632China Sino-French Joint Laboratory for Astrometry Dynamics and Space ScienceJinan UniversityGuangzhou 510632China

This study details an astrometric observation campaign of the Near-Earth Asteroid 1998 HH49,conducted with the aim of refining our understanding of its physical *** the 50 cm telescope located at the Wumingshan Mountain in Daocheng,Sichuan,images were obtained over four nights,from 2023 October 19 to October *** observations were processed using Astrometrica software,facilitating the precise determination of the asteroid's *** observational results were compared with the ephemerides from three distinct sources to verify accuracy:the Jet Propulsion laboratory(JPL)Horizons System,the Institut de Mécanique Céleste et de Calcul deséphémérides(IMCCE)Miriade,and the Near-Earth Objects Dynamic Site(NEODyS-2).When compared with the JPL ephemeris,a mean observed-minus-calculated(O-C)result of 0.″07 in the *** and-0.″35 in the *** was ***,the comparison with the IMCCE ephemeris yielded mean O-C results of 0.″08 in the *** and-0.″06 in the *** comparison with the NEODyS-2 ephemeris yielded the mean O-C results of 0.″06 in ***-0.″49 in *** study's findings demonstrate a general consistency between the observed data and the ephemeris predictions,with minor discrepancies observed across the data ***,both the JPL and NEODyS-2 ephemerides show that the residuals in the *** exceed those in the *** disparities may result from atmospheric differential color refraction,ephemeris discrepancies,observational errors,and other ***,it is worth noting that further investigation is required due to the potential influence of additional ***,the Daocheng 50 cm Telescope exhibits the ability to conduct high-precision positional measurements.

关键词： astrometry ephemerides time

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GFlowNet Training by Policy Gradients 41

GFlowNet Training by Policy Gradients

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41st International Conference on Machine Learning, ICML 2024

作者： Niu, Puhua Wu, Shili Fan, Mingzhou Qian, Xiaoning Department of Electrical and Computer Engineering Texas A&M University College StationTX United States Department of Computer Science and Engineering Texas A&M University College StationTX United States Computational Science Intiative Brookhaven National Laboratory UptonNY United States

Generative Flow Networks (GFlowNets) have been shown effective to generate combinatorial objects with desired properties. We here propose a new GFlowNet training framework, with policy-dependent rewards, that bridges keeping flow balance of GFlowNets to optimizing the expected accumulated reward in traditional Reinforcement-Learning (RL). This enables the derivation of new policy-based GFlowNet training methods, in contrast to existing ones resembling value-based RL. It is known that the design of backward policies in GFlowNet training affects efficiency. We further develop a coupled training strategy that jointly solves GFlowNet forward policy training and backward policy design. Performance analysis is provided with a theoretical guarantee of our policy-based GFlowNet training. Experiments on both simulated and real-world datasets verify that our policy-based strategies provide advanced RL perspectives for robust gradient estimation to improve GFlowNet performance. Our code is available at: ***/niupuhua1234/GFN-PG. Copyright 2024 by the author(s)

关键词： Generative adversarial networks

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Evaluation of importance for condition attributes based on quality of decision reducts 26

Evaluation of importance for condition attributes based on q...

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26th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2022

作者： Stanczyk, Urszula Department of Graphics Computer Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 2A Gliwice44-100 Poland

Relative or decision reducts belong with mechanisms dedicated to feature selection, and they are embedded in rough set approach to data processing. Algorithms for reduct construction typically aim at dimensionality reduction aspect, searching for smallest reducts, which are considered as the most advantageous from the point of view of knowledge representation. However, classifiers build on reduced data models, based on reducts, can significantly vary in performance. Therefore, to ensure quality of predictions, other characteristics of reducts, apart from their cardinalities, need to be taken into account. The paper presents research in which estimation of reduct quality through their characteristics was reflected in calculation of the proposed weighting factors leading to attribute rankings. These rankings were next employed in the process of filtering decision rules, inferred by classic rough set approach. Constructed rule-based classifiers were applied in the stylometric domain to solve a task of authorship attribution. © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2022)

关键词： Rough set theory

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