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4th International Conference on Evolutionary Computing and Mobile Sustainable Networks, ICECMSN 2024

作者： Sayar, Ahmet Kurtbas, Muhammet Cuneyd Sancaktar, Caglayan Kabak, rana dudu Cakmak, Sukru Department of Computer Engineering Kocaeli University Kabaoglu Baki Komsuoglu Avenue No:515 Umuttepe Kocaeli İzmit41010 Turkey Atez Software Technologies R&D Center Skyland B Blok No: 4B İstanbul Turkey

Product movement tracking stands as a pivotal aspect of logistics operations. The ever-expanding application of IoT technologies holds significant potential to enhance product tracking in logistics. However, the rapid expansion of IoT usage has also introduced several challenges, particularly concerning data privacy, security, and transparency. Blockchain technology, through distributed ledger systems, offers a secure and transparent means to manage transactions within a network. In this study, the Hyperledger Fabric blockchain network, chosen for its private and permissioned nature, leverages authentication features to ensure the confidentiality, integrity, and security of data from IoT devices. By integrating the widely adopted MQTT protocol, IoT devices involved in logistics processes communicate effectively with the blockchain network. This study presents a system where IoT devices enable the secure and automated tracking of data through blockchain's registration and distribution mechanisms, all of which are demonstrated within a simulation environment. developed specifically for the logistics sector, this system holds promising potential to address challenges across various fields. © 2025 The Authors. Published by Elsevier B.V.

关键词： distributed ledger

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Enhancing mineral processing with deep learning: Automated quartz identification using thin section images

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International Journal of Minerals,Metallurgy and Materials 2025年第4期32卷 802-816页

作者： Gökhan Külekçi Kemal Hacıefendioğlu Hasan Basri Başağa Mining Engineering Department Faculty of Engineering and Natural SciencesGümüşhane UniversityGümüşhaneTürkiye Department of Civil Engineering Faculty of EngineeringKaradeniz Technical UniversityTrabzonTürkiye Earthquake and Structural Health Application and Research Center Karadeniz Technical UniversityTrabzonTürkiye Civil Engineering Academy R&D Software Consulting Limited Company SamsunTürkiye

The precise identification of quartz minerals is crucial in mineralogy and geology due to their widespread occurrence and industrial *** methods of quartz identification in thin sections are labor-intensive and require significant expertise,often complicated by the coexistence of other *** study presents a novel approach leveraging deep learning techniques combined with hyperspectral imaging to automate the identification process of quartz *** utilizied four advanced deep learning models—PSPNet,U-Net,FPN,and LinkNet—has significant advancements in efficiency and *** these models,PSPNet exhibited superior performance,achieving the highest intersection over union(IoU)scores and demonstrating exceptional reliability in segmenting quartz minerals,even in complex *** study involved a comprehensive dataset of 120 thin sections,encompassing 2470 hyperspectral images prepared from 20 rock ***-reviewed masks were used for model training,ensuring robust segmentation *** automated approach not only expedites the recognition process but also enhances reliability,providing a valuable tool for geologists and advancing the field of mineralogical analysis.

关键词： quartz mineral identification deep learning hyperspectral imaging deep learning in geology

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deepMatch: A BErT-Powered Talent Matchmaking Approach 4th

DeepMatch: A BERT-Powered Talent Matchmaking Approach

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4th International Conference on Intelligent Systems and Pattern recognition, ISPr 2024

作者： Gozuacik, Necip Topaloglu, Atakan Evren, Ayse Mine Karakus, Serkan Siemens Advanta R&D Center Istanbul Turkey Faculty of Engineering and Natural Sciences Istanbul Health and Technology University Software Engineering Istanbul Turkey

ISBN: (纸本)9783031821493

Consultancy companies aim to match their employees to customer projects based on their employee’s talents. Traditional matchmaking methodologies are founded on manual processes that rely on rules of thumb or algorithms that are based on handcrafted heuristics, which cause the matchings to be not only sub-optimal, but also time-consuming, subjective, and prone to human errors. In this paper, we propose a novel consultancy matching algorithm that utilizes BErT to semantically find the most optimal consultant-project matchings for a given set of consultants and projects, pairing relevant project specifications with consultant specifications using the JVSAP algorithm. In doing so, our proposed talent matchmaking system may be utilized to improve the accuracy and efficiency of consultancy matching, thereby facilitating more effective consultancy engagements. Our findings suggest that the pairings demonstrate a discernible alignment with human intuition, as evidenced by the consistent correlation between consultants possessing domain-specific expertise and projects characterized by corresponding thematic descriptions. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Semantics

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Application of Hyperledger Blockchain Technology to Logistics Supply Chain with IoT

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Procedia Computer Science 2025年 252卷 814-823页

作者： Ahmet Sayar Muhammet Cüneyd Kurtbaş Çağlayan Sancaktar rana dudu Kabak Şükrü Çakmak Department of Computer Engineering Kocaeli University Kabaoglu Baki Komsuoglu Avenue No:515 Umuttepe İzmit Kocaeli 41010 Turkey Atez Software Technologies R&D Center Skyland B Blok No: 4B İstanbul Turkey

Product movement tracking stands as a pivotal aspect of logistics operations. The ever-expanding application of IoT technologies holds significant potential to enhance product tracking in logistics. However, the rapid expansion of IoT usage has also introduced several challenges, particularly concerning data privacy, security, and transparency. Blockchain technology, through distributed ledger systems, offers a secure and transparent means to manage transactions within a network. In this study, the Hyperledger Fabric blockchain network, chosen for its private and permissioned nature, leverages authentication features to ensure the confidentiality, integrity, and security of data from IoT devices. By integrating the widely adopted MQTT protocol, IoT devices involved in logistics processes communicate effectively with the blockchain network. This study presents a system where IoT devices enable the secure and automated tracking of data through blockchain’s registration and distribution mechanisms, all of which are demonstrated within a simulation environment. developed specifically for the logistics sector, this system holds promising potential to address challenges across various fields.

关键词： Blockchain Hyperledger Fabric Supply Chain Management IoT Security Logistics Tracking distributed Ledger Technology MQTT Protocol for IoT

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Learning to Stop Overthinking at Test Time

arXiv

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arXiv 2025年

作者： Bao, Hieu Tran dat, Nguyen Cong Anh, Nguyen duc Thanh-Tung, Hoang FPT IS AI R&D Center Hanoi Viet Nam FPT Software AI Center Hanoi Viet Nam Kaopiz Solutions Hanoi Viet Nam VNU - University of Engineering and Technology Hanoi Viet Nam

Test time scaling is currently one of the most active research areas that shows promise after training time scaling has reached its limits. deep-thinking (dT) models are a class of recurrent models that can perform easy-to-hard generalization by assigning more compute to harder test samples. However, due to their inability to determine the complexity of a test sample, dT models have to use a large amount of computation for both easy and hard test samples. Excessive test time computation is wasteful and can cause the "overthinking" problem where more test time computation leads to worse results. In this paper, we introduce a test time training method for determining the optimal amount of computation needed for each sample during test time. We also propose Conv-LiGrU, a novel recurrent architecture for efficient and robust visual reasoning. Extensive experiments demonstrate that Conv-LiGrU is more stable than dT, effectively mitigates the "overthinking" phenomenon, and achieves superior accuracy. © 2025, CC BY.

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Large scale petroleum reservoir simulation and parallel preconditioning algorithms research

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Science China Mathematics 2004年第z1期47卷 32-40页

作者： SUN Jiachang CAO Jianwen R & D Center for Parallel Software Institute of Software Chinese Academy of Sciences Beijing 100080 China R & D Center for Parallel Software Institute of Software Chinese Academy of Sciences Beijing 100080 China

Solving large scale linear systems efficiently plays an important role in a petroleum reservoir simulator, and the key part is how to choose an effective parallel preconditioner. Properly choosing a good preconditioner has been beyond the pure algebraic field. An integrated preconditioner should include such components as physical background, characteristics of PdE mathematical model, nonlinear solving method, linear solving algorithm, domain decomposition and parallel computation. We first discuss some parallel preconditioning techniques, and then construct an integrated preconditioner, which is based on large scale distributed parallel processing, and reservoir simulation-oriented. The infrastructure of this preconditioner contains such famous preconditioning construction techniques as coarse grid correction, constraint residual correction and subspace projection correction. We essentially use multi-step means to integrate totally eight types of preconditioning components in order to give out the final preconditioner. Million-grid cell scale industrial reservoir data were tested on native high performance computers. Numerical statistics and analyses show that this preconditioner achieves satisfying parallel efficiency and acceleration effect.

关键词： petroleum reservoir simulation, parallel preconditioning, parallel efficiency, high performance computing.

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ATTrACTOrS FOr dISCrETIZATION OF GINZBUrG-LANdAU-BBM EQUATIONS

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Journal of Computational Mathematics 2001年第2期19卷 195-204页

作者： Mu-rong Jiang Bo-ling Guo Department of Mathematics Yunnan UniversityKunming 650091China R&D Center for Parallel Software Institute of SoftwareChinese Academy of SciencesBeijing 100080China Institute of Applied Physics and Computational Mathematics Beijing 100088China

Focuses on a study which discreted Ginzburg-Landau-BBM equations with periodic initial boundary value conditions by the finite difference method in spatial direction. Background on the discretization of the equations and the priori estimates; Existence of the attractors for the discrete system; Estimates of the upper bounds of Hausdorff and fractal dimensions for the attractors.

关键词： attractor spatially discreted Ginzburg-Landau-BBM equations Hausdorff and fractal dimensions

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The Application of the Comparable Corpora in Chinese-English Cross-Lingual Information retrieval

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Journal of Computer Science & Technology 2001年第4期16卷 351-358页

作者：杜林张毅波孙乐孙玉芳 Chinese Information R&D Center Institute of Software The Chinese Academy of Sciences Beijing P.R China

This paper proposes a novel Chinese-English Cross-Lingual Information retrieval (CECLIr) model PME, in which bilingual dictionary and comparable corpora are used to translate the query terms. The Proximity and mutual information of the term-pairs in the Chinese and English comparable corpora are employed not only to resolve the translation ambiguities but also to perform the query expansion so as to deal with the out-of-vocabulary issues in the CECLIr. The evaluation results show that the query precision of PME algorithm is about 84.4% of the monolingual information retrieval.

关键词： cross-lingual information retrieval comparable corpus mutual information query expansion

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Multi-color difference schemes of Helmholtz equation and its parallel fast solver over 3-d dodecahedron partitions

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6th International Conference on Algorithms and Architectures for parallel Processing

作者： Sun, JC Chinese Acad Sci Inst Software R&D Ctr Parallel Software Beijing 100080 Peoples R China

In this paper, the problem of partitioning parallel dodecahedrons in 3d is examined. Two schemes are introduced and their convergence rate discussed. A parallel fast solver was implemented and tested experimentally, w... 详细信息

ISBN: (纸本)3540292357

关键词： parallel processing systems

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Numerical experiments of some Krylov subspace methods for black oil model

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COMPUTErS & MATHEMATICS WITH APPLICATIONS 2002年第1-2期44卷 125-141页

作者： Cao, JW Lai, CH Chinese Acad Sci Inst Software R&D Ctr Parallel Software Beijing 100080 Peoples R China Univ Greenwich Sch Comp & Math Sci London SE10 9LS England

This paper discusses preconditioned Krylov subspace methods for solving large scale linear systems that originate from oil reservoir numerical simulations. Two types of preconditioners, one being based on an incomplete LU decomposition and the other being based on iterative algorithms, are used together in a combination strategy in order to achieve an adaptive and efficient preconditioner. Numerical tests show that different Krylov subspace methods combining with appropriate preconditioners are able to achieve optimal performance. (C) 2002 Elsevier Science Ltd. All rights reserved.

关键词： Krylov subspace methods black oil model large scale linear system preconditioner effective linear solver

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