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共 135251 条记录，以下是1611-1620 订阅

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Efficient Wildcard Searchable Symmetric Encryption with Forward and Backward Security 1st

Efficient Wildcard Searchable Symmetric Encryption with For...

引用

1st International Conference on Artificial Intelligence Security and Privacy, AIS and P 2023

作者： Zhang, Xi Su, Ye Wei, Zhongkai Shen, Wenting Qin, Jing College of Computer and Cyber Security Hebei Normal University Shijiazhuang050024 China Hebei Provincial Key Laboratory of Network and Information Security Hebei Normal University Shijiazhuang050024 China School of Information Science and Engineering Shandong Normal University Jinan250358 China School of Mathematics Shandong University Jinan250100 China College of Computer Science and Technology Qingdao University Qingdao266071 China

ISBN: (纸本)9789819997848

Wildcard Searchable Symmetric Encryption can achieve flexibility and pattern matching while protecting data privacy. There is a promising future for combining secure wildcard search with emerging technologies such as AI. However, there are challenges in reducing the communication cost and improving security. In this paper, we propose an efficient wildcard searchable symmetric encryption with forward and backward security. The complexity of communication costs in the search protocol is O(1), independent of the number of characters of wildcard keywords, or files in the search result. It is achieved by a double-compressed index in which the character set and file identifiers are encoded simultaneously. Then, the double-compressed index provides a possibility to achieve oblivious keyword query and update, so that the proposed scheme only reveals the query type (search or update) without anything else. It achieves forward and backward security using the distributed multi-point function and an additively homomorphic symmetric encryption scheme. Detailed security proof and the theoretical comparison show the improvement in security and efficiency. The acceptable overheads of the proposed scheme are presented by the extensive performance evaluation. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Pattern matching

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Gameplay Performance as a Predictor of Adaptive Expertise in Primary School Students 13th

Gameplay Performance as a Predictor of Adaptive Expertise in...

引用

13th International Conference on Games and Learning Alliance, GALA 2024

作者： Rocha, Mariana Dondio, Pierpaolo School of Computer Science Technological University Dublin Dublin Ireland

ISBN: (纸本)9783031782688

The present study explores the potential of gameplay performance to predict gains in adaptive expertise among primary school students. More specifically, this research evaluates adaptive number knowledge (ANK), an ability to understand whole-number relations and apply this knowledge flexibly to solve new problems. Our study involved 130 primary school students playing the digital game "Seven Spells", which focuses on arithmetic operations and numeric tables. Students’ ANK skills were assessed through a pen-and-paper timed task before and after playing the game for six weeks. Three gameplay performance metrics were collected: the highest level achieved in a multi-player mode, the highest score in single-player mode, and the leaderboard position in single-player mode. Linear regression analysis revealed that the progress against virtual opponents significantly predicted various improvements in ANK skills. Conversely, higher leaderboard positions in the single-player mode were unexpectedly correlated with some reduced ANK gains, likely due to a lack of engagement in this game mode. Student feedback indicated a preference for multiplayer mode, which may have fostered higher engagement and skill development. Our contribution suggests games can support adaptive expertise development and highlights the importance of identifying specific game design features for learning. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Students

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Joint Entity and Relation Extraction Based on Bidirectional Update and Long-Term Memory Gate Mechanism 23rd

Joint Entity and Relation Extraction Based on Bidirectiona...

引用

23rd China National Conference on Computational Linguistics, CCL 2024

作者： Qian, Yili Ren, Enlong Xu, Haonan School of Computer and Information Technology Shanxi University Shanxi Taiyuan030006 China

ISBN: (纸本)9789819783663

Joint entity recognition and relation extraction are important tasks in natural language processing. While some previous work has recognized the importance of relation information in joint extraction, excessively focusing on relation information without utilizing entity information may lead to information loss and affect the identification of relation tuples. Additionally, ignoring the utilization of original information may result in the loss of hierarchical and semantic information, further reducing the richness of information. To address these issues, we propose a bidirectional information updating mechanism that integrates entity and relation information, iteratively fusing fine-grained information about entities and relations. We introduce a long-term memory gate mechanism to update and utilize original information using feature information, thereby enhancing the model’s ability for entity recognition and relation extraction. We evaluated our approach on two Chinese datasets and achieved state-of-the-art results. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Semantics

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Automating Pathway Extraction from Clinical Guidelines: A Conceptual Model, Datasets and Initial Experiments 30th

Automating Pathway Extraction from Clinical Guidelines: A C...

引用

30th International Conference on Cooperative Information Systems, CoopIS 2024

作者： Grathwol, Daniel van der Aa, Han López, Hugo A. Technical University of Denmark DTU Compute Lyngby Denmark Faculty of Computer Science University of Vienna Vienna Austria

ISBN: (纸本)9783031813740

Clinical pathways are structured, multidisciplinary care plans utilized by healthcare providers to standardize the management of specific clinical problems. Designed to bridge the gap between evidence and practice, clinical pathways aim to enhance clinical outcomes and improve efficiency, often reducing hospital stays and lowering healthcare costs. However, maintaining pathways with up-to-date, evidence-based recommendations is complex and time-consuming. It requires the integration of clinical guidelines, algorithmic procedures, and tacit knowledge from various institutions. A critical aspect of updating clinical pathways involves extracting procedural information from clinical guidelines, which are textual documents that detail medical procedures. This paper explores how Large Language Models (LLMs) can facilitate this extraction to support clinical pathway development and maintenance. Concretely, we present a conceptual model for using LLMs in this extraction task, provide a dataset comprising thousands of clinical guidelines for academic research, and share the results of initial experiments demonstrating the efficacy of LLMs in extracting relevant pathway information from these guidelines. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Clinical guidelines Clinical pathways Conceptual model Large language models Process extraction

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A Blockchain-Based Approach to Improve Data Integrity in Federated Cloud Environment 1

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3rd International Conference on Advanced Computing and Intelligent Technologies, ICACIT 2023

作者： Jana, Sagnik Majumder, Koushik Dasgupta, Anurag Shaw, Rabindra Nath Ghosh, Ankush Department of Computer Science and Engineering Maulana Abul Kalam Azad University of Technology WB Haringhata India Computer Science and Engineering Technology Valdosta State University ValdostaGA31698 United States Chandigarh University Punjab Mohali India

ISBN: (数字)9789819719617

ISBN: (纸本)9789819719600

This work focuses on the critical problem of enhancing data integrity within federated cloud environments. It explores a novel approach that leverages the principles of blockchain technology to provide a robust and decentralized solution to these challenges. By integrating blockchain's immutable and consensus-driven ledger with the complexities of federated cloud ecosystems, this research aims to establish a new framework for data integrity assurance that nullifies the limitations of traditional centralized approaches. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Blockchain

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Extending 6D Object Pose Estimators for Stereo Vision 4th

Extending 6D Object Pose Estimators for Stereo Vision

引用

4th International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2024

作者： Pöllabauer, Thomas Emrich, Jan Knauthe, Volker Kuijper, Arjan Fraunhofer Institute for Computer Graphics Research IGD Darmstadt Fraunhoferstraße 5 Darmstadt Germany Technical University Darmstadt Karolinenplatz 5 Darmstadt Germany

ISBN: (纸本)9789819787043

Estimating the 6D pose of objects accurately, quickly, and robustly remains a difficult task. However, recent methods for directly regressing poses from RGB images using dense features have achieved state-of-the-art results. Stereo vision, which provides an additional perspective on the object, can help reduce pose ambiguity and occlusion. Moreover, stereo can directly infer the distance of an object, while mono-vision requires internalized knowledge of the object’s size. To extend the state-of-the-art in 6D object pose estimation to stereo, we created a BOP compatible stereo version of the YCB-V dataset called YCB-V DS and extended multiple state-of-the-art pose estimator algorithms to be applicable to stereo. Our method outperforms state-of-the-art 6D pose estimation algorithms by utilizing stereo vision and can easily be adopted for other dense feature-based algorithms. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Stereo vision

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16th International Conference on Verification and Evaluation of computer and Communication Systems, VECoS 2023

16th International Conference on Verification and Evaluation...

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16th International Conference on Verification and Evaluation of computer and Communication Systems, VECoS 2023

ISBN: (纸本)9783031497360

The proceedings contain 12 papers. The special focus in this conference is on Verification and Evaluation of computer and Communication Systems. The topics include: Blockchain-Based Trust Management for IoMT Environment;Command & Control in UAVs Fleets: Coordinating Drones for Ground Missions in Changing Contexts;Verified High Performance Computing: The SyDPaCC Approach;A QoE Driven DRL Approach for Network Slicing Based on SFC Orchestration in SDN/NFV Enabled Networks;on Language-Based Opacity Verification Problem in Discrete Event Systems Under Orwellian Observation;an Enhanced Interface-Based Probabilistic Compositional Verification Approach;a Sound Abstraction Method Towards Efficient Neural Networks Verification;Towards Formal Verification of Node RED-Based IoT Applications;formal Verification of a Post-quantum Signal Protocol with Tamarin;a Comparative Study of Online Cybersecurity Training Platforms.

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Establishing a Health Data Marketplace: A Framework for Success 1

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22nd IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2023

作者： Erdvik, Magnus Intaraphasuk, Kantasit Pappas, Ilias O. Vassilakopoulou, Polyxeni University of Agder Kristiansand4639 Norway Egde Grimstad4879 Norway Sparebanken Sør Kristiansand4610 Norway Norwegian University of Science and Technology Trondheim7491 Norway

ISBN: (数字)9783031500404

ISBN: (纸本)9783031500398

This study outlines essential elements needed to develop a Health Data Marketplace (HDM) by building upon an existing data platform in Norway. A comprehensive framework is proposed that accounts for technical, legal, financial, and additional considerations. The results highlight the pivotal roles of key HDM actors - Marketplace Operators, Marketplace Users, and Legal Authorities - and emphasize critical enablers such as Data Standardization, Interoperability, Integration, Security, Trust, and Legal Frameworks. Such a marketplace has the potential to catalyze the effective, secure, and ethical use of health data, contributing to enhanced healthcare outcomes, research, and innovation. © IFIP International Federation for Information Processing 2023.

关键词： Electronic data interchange

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PMemTrace: Lightweight and Efficient Memory Access Monitoring for Persistent Memory 1

引用

22nd International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2022

作者： Zhang, Yushuqing Lu, Kai Wu, Zhenwei Zhang, Wenzhe College of Computer National University of Defense Technology Changsha China

ISBN: (数字)9783031226779

ISBN: (纸本)9783031226762

Persistent memory gains increasing popularity in recent years. Many persistent memory systems leverage memory access monitoring to achieve user-transparent crash consistency enforcement. However, traditional program analysis-oriented memory access monitoring mechanisms incur prohibitive performance overheads in persistent memory applications. Especially, for applications developed for systems with hybrid DRAM and persistent memory, existing memory tracking approaches cannot distinguish volatile and persistent memory writes, which leads to significant unnecessary runtime cost. This paper describes PMemTrace, a lightweight and efficient memory access monitoring approach for persistent memory. PMemTrace conducts best-effort pointer analysis to speculatively reduce as many redundant instrumentations to volatile writes as possible at compile time. Besides, PMemTrace enforces thread-local memory access permission control with the Memory Protection Keys (MPK) hardware primitive in recent Intel processors to track the mistakenly filtered persistent writes. The evaluation results show that PMemTrace substantially outperforms the state-of-the-art memory tracking systems. © 2023, Springer Nature Switzerland AG.

关键词： Dynamic random access storage

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Dynamic Coloring on Restricted Graph Classes 1

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13th International Symposium on Algorithms and Complexity, CIAC 2023

作者： Bhyravarapu, Sriram Kumari, Swati Reddy, I. Vinod The Institute of Mathematical Sciences HBNI Chennai India Department of Electrical Engineering and Computer Science IIT Bhilai Raipur India

ISBN: (数字)9783031304484

ISBN: (纸本)9783031304477

A proper k-coloring of a graph is an assignment of colors from the set to the vertices of the graph such that no two adjacent vertices receive the same color. Given a graph, the Dynamic Coloring problem asks to find a proper k-coloring of G such that for every vertex of degree at least two, there exists at least two distinct colors appearing in the neighborhood of v. The minimum integer k such that there is a dynamic coloring of G using k colors is called the dynamic chromatic number of G and is denoted by. The problem is NP-complete in general, but solvable in polynomial time on several restricted families of graphs. In this paper, we study the problem on restricted classes of graphs. We show that the problem can be solved in polynomial time on chordal graphs and biconvex bipartite graphs. On the other hand, we show that it is NP-complete on star-convex bipartite graphs, comb-convex bipartite graphs and perfect elimination bipartite graphs. Next, we initiate the study on Dynamic Coloring from the parameterized complexity perspective. First, we show that the problem is fixed-parameter tractable when parameterized by neighborhood diversity or twin-cover. Then, we show that the problem is fixed-parameter tractable when parameterized by the combined parameters clique-width and the number of colors. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Coloring

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