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49th Euromicro Conference on Software engineering and Advanced Applications, SEAA 2023

作者： Fushihara, Yuki Aman, Hirohisa Amasaki, Sousuke Yokogawa, Tomoyuki Kawahara, Minoru Ehime University Faculty of Engineering Department of Computer Science Ehime790-8577 Japan Ehime University Center for Information Technology Ehime790-8577 Japan Okayama Prefectural University Faculty of Computer Science and Systems Engineering Okayama719-1197 Japan

ISBN: (纸本)9798350342352

Software testing is an essential activity for developing and maintaining high-quality software. Unit testing with test code (test cases) is a fundamental testing activity, and developers can test their production code whenever they create or modify the code. However, such quality assurance relies on the correctness of the test code. If a test code had a flaw, it would mislead the developers about the hidden faults and prevent early detection of the faults. This paper focuses on "test smells,"which may cause test code flaws in Python programs, and analyzes their changing trends over commit history (code changes) toward better Python test code management. Through an empirical data analysis of 100 open-source projects, the paper reports the following findings: (1) a few kinds of test smells constitute the majority of smells detected in the studied projects, and (2) most kinds of smells tend to increase over commits, i.e., many test smells are likely to have remained in test code as technical debt. © 2023 IEEE.

关键词： Python

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A Framework of Deep Optimal Features Selection for Apple Leaf Diseases Recognition

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Computers, Materials & Continua 2023年第4期75卷 697-714页

作者： Samra Rehman Muhammad Attique Khan Majed Alhaisoni Ammar Armghan Usman Tariq Fayadh Alenezi Ye Jin Kim Byoungchol Chang Department of Computer Science HITEC UniversityTaxilaPakistan Computer Sciences Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Electrical Engineering College of EngineeringJouf UniversitySakakahSaudi Arabia Department of Management Information Systems CoBAPrince Sattam bin Abdulaziz UniversitySaudi Arabia Department of Computer Science Hanyang UniversitySeoul04763Korea Center for Computational Social Science Hanyang UniversitySeoul04763Korea

Identifying fruit disease manually is time-consuming, expertrequired,and expensive;thus, a computer-based automated system is widelyrequired. Fruit diseases affect not only the quality but also the *** a result, it is possible to detect the disease early on and cure the fruitsusing computer-based techniques. However, computer-based methods faceseveral challenges, including low contrast, a lack of dataset for training amodel, and inappropriate feature extraction for final classification. In thispaper, we proposed an automated framework for detecting apple fruit leafdiseases usingCNNand a hybrid optimization algorithm. Data augmentationis performed initially to balance the selected apple dataset. After that, twopre-trained deep models are fine-tuning and trained using transfer ***, a fusion technique is proposed named Parallel Correlation Threshold(PCT). The fused feature vector is optimized in the next step using a hybridoptimization algorithm. The selected features are finally classified usingmachine learning algorithms. Four different experiments have been carriedout on the augmented Plant Village dataset and yielded the best accuracy of99.8%. The accuracy of the proposed framework is also compared to that ofseveral neural nets, and it outperforms them all.

关键词： Convolutional neural networks deep learning features fusion features optimization classification

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Integrated sensor based on acoustics-electricity-mechanics coupling effect for wireless passive gas detection

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Nano Research 2023年第2期16卷 3130-3141页

作者： Licheng Zhou Bohui Zhai Zhixiang Hu Mingqi Zhang Long Li Xiangxin Wang Guangzu Zhang Jingting Luo Honglang Li Bingbing Chen Shenglin Jiang Hua-Yao Li Huan Liu School of Optical and Electronic Information Wuhan National Laboratory for OptoelectronicsOptics Valley LaboratoryHuazhong University of Science and TechnologyWuhan 430074China Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen Virtual University ParkShenzhen 518000China Key Laboratory of Optoelectronic Devices and Systems College of Physics and Optoelectronic EngineeringShenzhen UniversityShenzhen 518060China CAS Center for Excellence in Nanoscience National Center for Nanoscience and TechnologyBeijing 100190China School of Energy Science and Engineering Nanjing Tech UniversityNanjing 211816China

Integrated sensor combines multiple sensor functions into a single unit,which has the advantages of miniaturization and better application ***,limited by the sensing platforms of the sensor and the selectivity of the sensitive film,there are still challenges to realize multi-component gas detection in one ***,a principle integration method is proposed to achieve the multi-component gas detection based on the acoustics-electricity-mechanics coupling *** electrical and mechanical properties of the Bi_(2)S_(3)nanobelts materials in different atmospheres indicate the possibility of realizing the principle *** the same time,the surface acoustic wave(SAW)sensor as a multivariable physical transducer can sense both electrical and mechanical *** exposure to 10 ppm NO_(2),NH_(3),and their mixtures,the integrated SAW gas sensor shows a 4.5 kHz positive frequency shift(acoustoelectric effect),an 11 kHz negative frequency shift(mechanics effects),and a reduced 4 kHz negative frequency shift(acoustics-electricity-mechanics coupling effect),***,we realize wireless passive detection of NO_(2)and NH_(3)based on the SAW *** work provides valuable insights that can serve as a guide to the design and fabrication of single sensors offering multi-component gas detection via different gas sensing mechanisms.

关键词： integrated gas sensor bismuth sulfide surface acoustic wave coupling effect wireless passive

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systems Analysis and Negotiation of Strategic Partnerships in the Supply of Biofuels to Commercial Aviation

Systems Analysis and Negotiation of Strategic Partnerships i...

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IEEE Symposium on systems and information engineering Design, SIEDS

作者： Camille E. Baron Jack C. Dueweke Kyle D. Kendall Sarah M. Kirk William X. Stone Nicholas D. Jabs Joshua W. Hale Megan E. Gunn Matthew C. Gunn Richard L. Altman Lisa M. Colosi Peterson James H. Lambert Department of Systems & Information Engineering University of Virginia Charlottesville Virginia Commonwealth Center for Advanced Logistics Systems formerly Commercial Aviation Alternative Fuels Initiative Department of Civil & Environmental Engineering University of Virginia Charlottesville Virginia

ISBN: (数字)9798331535759

ISBN: (纸本)9798331535766

Industrial supplies of energy and fuels need coordinated efforts of stakeholders to address complex challenges related to resources, finances, infrastructure, regulations, innovations, behaviors, etc. Advanced aviation biofuels, in particular, involve negotiations and tradeoffs among subsystem owners and operators, regulators, government agencies, and transportation providers. This paper utilizes a case study on biofuel distribution to Dulles International Airport to address three primary components of a systems engineering-based supply chain analysis: (i) stakeholder mapping, (ii) scenario evaluations, and (iii) resilience analysis. This paper builds upon the power-interest matrix to develop an Engagement, Financing, and Time Horizon Analysis (EFHA) matrix to support systems engineering and stakeholder negotiations for energy and fuel supply chains. EFHA identifies several key problem dimensions: coordination among diverse stakeholders, resource allocation and policy considerations, and time horizons for action. In evaluating various supply chain scenarios, the Freight and Fuel Transportation Optimization Tool (FTOT) from the U.S. Department of Transportation was utilized to assess network infrastructure, sensitivity constraints regarding feedstock and pricing assumptions, and capacity impacts of different transportation options, all in the scope of biofuel distribution. In evaluating enterprise resilience, the paper employs comprehensive systems criteria, system components, and emergent conditions to understand disruptions and scenarios that most matter to a biofuel supply chain at airports.

关键词： Technological innovation Sensitivity Supply chains Transportation Airports Biofuels Stakeholders Resource management System analysis and design Resilience

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Superscattering of water waves

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National Science Review 2023年第7期10卷 91-97页

作者： Zijian Qin Chao Qian Lian Shen Xiaoping Wang Ido Kaminer Hongsheng Chen Huaping Wang Key Laboratory of Ocean Observation-Imaging Testbed of Zhejiang Province Institute of Marine Electronics Engineering Ocean College Zhejiang University ZJU-Hangzhou Global Science and Technology Innovation Center Key Lab.of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang Zhejiang University ZJU-UIUC Institute Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation Zhejiang University Jinhua Institute of Zhejiang University Zhejiang University Department of Electrical Engineering Technion-Israel Institute of Technology

Inspired by the concept of superscattering in optics,we for the first time theoretically predict and experimentally demonstrate the superscattering phenomenon in water *** subwavelength superscatterer is constructed by multi-layered concentric cylinders with an inhomogeneous depth *** superscatterer breaks the long-held single-channel scattering limit by several times and thus significantly enhances the total scattering *** underlying mechanism originates from the near degeneracy of the resonances of multiple *** fabricate the superscatterer prototype and experimentally measure the near-field patterns,which are consistent with theoretical prediction and numerical *** study opens a new avenue to strengthen water-wave scattering and deepen the understanding in water waves,which can be useful for ocean energy harvesting and harbor protection.

关键词： superscattering water wave metamaterials

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Cross-Modality Prompts: Few-Shot Multi-Label Recognition With Single-Label Training

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IEEE Transactions on Multimedia 2025年 27卷 3023-3033页

作者： Ding, Zixuan Zhou, Zihan Chen, Hui Hao, Tianxiang Xiong, Yizhe Zhao, Sicheng Zhang, Qiang Han, Jungong Xidian University State Key Laboratory of Electromechanical Integrated Manufacturing of High-Performance Electronic Equipments Xi'an710071 China Xidian University Center for Complex Systems School of Mechano-Electronic Engineering Xi'an710071 China Tsinghua University School of Software Beijing100190 China Tsinghua University Beijing National Research Center for Information Science and Technology Beijing100190 China Tsinghua University Department of Automation Beijing100190 China

Few-shot multi-label recognition (FS-MLR) presents a significant challenge due to the need to assign multiple labels to images with limited examples. Existing methods often struggle to balance the learning of novel classes and the retention of knowledge from base classes. To address this issue, we propose a novel Cross-Modality Prompts (CMP) approach. Unlike conventional methods that rely on additional semantic information to mitigate the impact of limited samples, our approach leverages multimodal prompts to adaptively tune the feature extraction network. A new FS-MLR benchmark is also proposed, which includes single-label training and multi-label testing, accompanied by benchmark datasets constructed from MS-COCO and NUS-WIDE. Extensive experiments on these datasets demonstrate the superior performance of our CMP approach, highlighting its effectiveness and adaptability. Our results show that CMP outperforms CoOp on the MS-COCO dataset with a maximal improvement of 19.47% and 23.94% in mAPharmonic for 5-way 1-shot and 5-way 5-shot settings, respectively. © 1999-2012 IEEE.

关键词： Zero-shot learning

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Traceable Multi-view Model Integration: A Transformation Pipeline for Agile Production systems engineering

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SN Computer Science 2023年第2期4卷 205页

作者： Rinker, Felix Waltersdorfer, Laura Meixner, Kristof Winkler, Dietmar Lüder, Arndt Biffl, Stefan Christian-Doppler-Laboratory SQI TU Wien Vienna Austria Institute of Information Systems Engineering TU Wien Vienna Austria Institute of Ergonomics Otto von Guericke University Magdeburg Germany Center for Digital Production Vienna Austria

Purpose.: Agile Production systems engineering (PSE) is characterised by parallel and iterative engineering of several disciplines. This multi-view engineering requires capabilities for tracing changes to support configuration management of PSE assets. Yet, traditional model transformation approaches in PSE do not preserve local views and hierarchies on concepts of PSE assets, such as plans and configurations. Thus, tracing multi-view changes to PSE assets is challenging. Method.: Following the Design Science approach, we (i) elicit requirements for tracing multi-view changes to PSE assets from a domain analysis in automotive manufacturing;(ii) introduce and evaluate the Traceable Multi-view Model Transformation (TMvMT) process;and (iii) propose the TMvMT pipeline architecture to provide traceable model integration capabilities for agile PSE. Results.: In a feasibility study on robot cell models, we evaluate the TMvMT process and architecture regarding the requirements for traceability compared to traditional approaches. Conclusion.: The proposed TMvMT approach provides traceability of changes in multi-view modelling as a basis through the separation of modelling transformation steps and provision of clear input and output artefacts to achieve traceable configuration management and validation of system designs for production system assets in agile PSE. © 2023, The Author(s).

关键词： Domain-specific languages Domain-specific modelling Model transformation Model-driven engineering Multi-disciplinary engineering Production systems engineering

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RSMA-assisted SHAPTINs: secrecy performance under imperfect hardware and channel estimation errors

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Neural Computing and Applications 2024年 1-18页

作者： Feng, Zhou Kefeng, Guo Jian, Cheng Sunder Ali, Khowaja Kapal, Dev Reddy, Gadekallu Thippa Hussam Al, Hamadi School of Information Technology Yancheng Institute of Technology Yancheng224051 China School of Space Information Space Engineering University Beijing101407 China College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing210016 China Faculty of Computing Digital and Data Technological University Dublin DublinD07EWV4 Ireland ADAPT Centre and Department of Computer Science Munster Technological University Cork BishopstownT12 P928 Ireland Department of institute of intelligent systems University of Johannesburg Auckland Park Johannesburg2006 South Africa Centre for Research Impact & Outcome Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura140401 India Division of Research and Development Lovely Professional University Phagwara144001 India College of Engineering and IT College of Engineering and IT University of Dubai PO Box 14143 Dubai United Arab Emirates

Satellite high aerial platform terrestrial integrated networks have become the hot topic these years, which have been regarded as the major part of the intelligence of things for future networks. During this work, we investigate the secrecy performance for rate-splitting multiple access-assisted satellite high aerial platform terrestrial integrated networks. Besides, imperfect hardware and channel estimation errors are considered in the secrecy networks. Moreover, to enhance the energy utilization efficiency, rate-splitting multiple access scheme is utilized into the considered network, which is prior to that of the non-orthogonal multiple access scheme. What's more, to enhance the satellite transmission, multiple high aerial platforms are used to forward the transmission along with multiple eavesdroppers. In addition, the direct transmission link is not considered in the secrecy networks due to the heavy fading and obstacles. Relied on the former considerations, the exact and asymptotic analysis for the secrecy performance is further obtained to confirm the rightness of the analysis. Finally, some representative Monte Carlo simulations are carried out to validate the obtained results. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Asymptotic analysis

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Non-invasive glucose sensing via the fingernail bed using THz radiation

Non-invasive glucose sensing via the fingernail bed using TH...

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作者： Jalali, Mandana Prokscha, Andreas Kaiser, Thomas Yan, Yijun Taro Svejda, Jan Erni, Daniel Kubiczek, Tobias Balzer, Jan Preu, Sascha Faculty of Engineering University of Duisburg-Essen Essen Duisburg Germany CENIDE-Center for Nanointegration Duisburg-Essen DuisburgD-47048 Germany Institute of Digital Signal Processing Faculty of Engineering University of Duisburg-Essen DuisburgD-47048 Germany Chair of Communication Systems Faculty of Engineering University of Duisburg-Essen DuisburgD-47048 Germany Terahertz Devices and Systems Institute of Microwave Engineering and Photonics Department of Electrical Engineering and Information Technology Technical University of Darmstadt DarmstadtD-64283 Germany

The possibility of establishing a novel technique for reliably accessing glycemic information in a non-invasive, easy to implement method at THz frequencies via the fingernail bed is investigated. The nail bed's major content is blood at its various glucose levels and is also partially protected from environmental conditions by the nail plate, making it a desirable platform for non-invasive glucose sensing. The study is based on a 2D computational electromagnetics (EM) model of the layered fingernail in COMSOL Multiphysics, where the required dielectric function (i.e. permittivity and conductivity) of the fingernail plate is measured using THz-Time-Domain-Spectroscopy (THz-TDS), and the glucose-dependend dielectric functions of the fingernail bed are taken from available experimental data in the literature. From this data a material model using a multipole Cole-Cole model is established for both, the nail plate and the nail bed, where the glucose content in the latter is varied from 3.0-19.0 mmol/l. A numerical analysis of the THz reflectometry at the fingernail in the frequency range of 0.1-2.0 THz revealed that the reflectance spectra are sensitive to the glucose content in the nail bed proving that accurate glucose sensing via the fingernail bed may become feasible around 0.2-0.4 THz. © 2023 the author(s), published by Walter de Gruyter Berlin/Boston.

关键词： Glucose

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Learning Near-Optimal Intrusion Responses Against Dynamic Attackers

arXiv

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arXiv 2023年

作者： Hammar, Kim Stadler, Rolf Division of Network and Systems Engineering KTH Royal Institute of Technology Sweden KTH Center for Cyber Defense and Information Security Sweden

We study automated intrusion response and formulate the interaction between an attacker and a defender as an optimal stopping game where attack and defense strategies evolve through reinforcement learning and self-play. The game-theoretic modeling enables us to find defender strategies that are effective against a dynamic attacker, i.e. an attacker that adapts its strategy in response to the defender strategy. Further, the optimal stopping formulation allows us to prove that optimal strategies have threshold properties. To obtain near-optimal defender strategies, we develop Threshold Fictitious Self-Play (T-FP), a fictitious self-play algorithm that learns Nash equilibria through stochastic approximation. We show that T-FP outperforms a state-of-the-art algorithm for our use case. The experimental part of this investigation includes two systems: a simulation system where defender strategies are incrementally learned and an emulation system where statistics are collected that drive simulation runs and where learned strategies are evaluated. We argue that this approach can produce effective defender strategies for a practical IT infrastructure. © 2023, CC BY-SA.

关键词： Reinforcement learning

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