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共 144 条记录，以下是11-20 订阅

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Towards an Efficient and Secure Cache Management Using Apriori-Based Interests Prediction in Named Data Networking 11

Towards an Efficient and Secure Cache Management Using Aprio...

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11th International Conference on Intelligent Systems and Embedded Design, ISED 2023

作者： Kerrache, Chaker Abdelaziz Rathee, Geetanjali Guellouma, Younes Gasmi, Hocine Ziani, Benameur Université Amar Telidji de Laghouat Dpt. of Computer Science Laghouat Algeria Netaji Subhas University of Technology Dpt. of Computer Science and Engineering New Delhi110078 India

ISBN: (纸本)9798350318159

Cache management is an important component in any network and it has even more importance in the Future Internet Architectures (FIAs) including Named Data Networking (NDN), because the caches play the key role in reducing the overall network latency and scalability. In this paper, we discuss the functionality of cache management in NDN, its types as well as its importance for the NDN architecture. In addition, we propose a machine learning-empowered cache management and interests predication for NDN to only preserve the cache only to the secure and really needed data. Our proposal uses Apriori algorithm which is supervised learning algorithm to find the association rules and then to recommend the next requested data. Implementation and experiments on real data traffic depicted that the network' performance and its influence on the cache increased by 3.2% for two content store sizes of 20 and 40 MB. In addition, a larger cache size of 80 MB shows an increase of the cache hit ratio reaching 90% and hence, clearly reducing the network latency. © 2023 IEEE.

关键词： Network architecture

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Implementing a Blockchain Based System for Healthcare Applications Using Digital Twin 11

Implementing a Blockchain Based System for Healthcare Applic...

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11th International Conference on Intelligent Systems and Embedded Design, ISED 2023

作者： Benattia, Bouchra Zinab Houda Maicha, Nour El Kerrache, Chaker Abdelaziz Rathee, Geetanjali Calafate, Carlos T. Université Amar Telidji de Laghouat Dpt. of Computer Science Laghouat Algeria Netaji Subhas University of Technology Dpt. of Computer Science and Engineering New Delhi110078 India Universitat Politècnica de València Dpt. of Computer Engineering València Spain

ISBN: (纸本)9798350318159

With the increasing focus on healthcare, especially real-time analytics and self-diagnosis, the interest in capturing real-time patient data has increased significantly for both physicians and patients. The development of smart devices that can collect data such as blood pressure, heart rate, blood sugar level, etc., has greatly contributed to improving individual health management capabilities. However, these advances also, bring challenges such as concerns over safety, reliability, and accurate diagnosis. Problems often arise, especially when exchanging information and transmitting data. To overcome these challenges, this project uses blockchain technology to improve data transmission and security. This study explores the use of blockchain-based internet solutions by integrating blockchain into smart health-care. Additionally, the digital twin concept is used to improve diagnosis by simulating the effects of drugs on virtual objects. Based on the results of these simulations, physicians can make informed decisions about appropriate medications and accurately assess a patient's condition. A health monitoring system using digital twin technology and blockchain can be implemented to securely organize the collection of user information and enable accurate diagnosis. This integration ensures secure storage and transmission of your data and improves your health outcomes. In this paper, we study the integrating blockchain technology with Digital Twin for patient health monitoring. We showcase an interface connected to the blockchain database, specifically designed for doctors to review patient health records through patient wallet address and determine the normalcy of the patient's heart rate based on their medical data. Additionally, the interface allows doctors to predict the effect of medication on the patient's heart rate and blood pressure. © 2023 IEEE.

关键词： Blockchain

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A MILP-based decision procedure for the (Fuzzy) description logic ALCB 27

A MILP-based decision procedure for the (Fuzzy) description ...

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27th International Workshop on Description Logics, DL 2014

作者： Bobillo, Fernando Straccia, Umberto Dpt. of Computer Science and Systems Engineering University of Zaragoza Spain Pisa Italy

To overcome the inability of Description Logics (DLs) to represent vague or imprecise information, several fuzzy extensions have been proposed in the literature. In this context, an important family of reasoning algorithms for fuzzy DLs is based on a combination of tableau algorithms and Operational Research (OR) problems, specifically using Mixed Integer Linear Programming (MILP). In this paper, we present a MILP-based tableau procedure that allows to reason within fuzzy ALCB, i.e., ALC with individual value restrictions. Interestingly, unlike classical tableau procedures, our tableau algorithm is deterministic, in the sense that it defers the inherent non-determinism in ALCB to a MILP solver.

关键词： Data description

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General concept inclusion absorptions for fuzzy description logics: A first step

General concept inclusion absorptions for fuzzy description ...

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26th International Workshop on Description Logics, DL 2013

作者： Bobillo, Fernando Straccia, Umberto Dpt. of Computer Science and Systems Engineering University of Zaragoza Spain Pisa Italy

General Concept Inclusion (GCIs) absorption algorithms have shown to play an important role in classical Description Logics (DLs) reasoners, as they allow to transform GCIs into simpler forms to which apply specialised inference rules, resulting in an important performance gain. In this work, we develop a first absorption algorithm for fuzzy DLs, and evaluate it over some ontologies.

关键词： Data description

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Toward Secure Consumer IoT Communications using DNA Encryption and Blockchain Technology 6

Toward Secure Consumer IoT Communications using DNA Encrypti...

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6th International Conference on Pattern Analysis and Intelligent Systems, PAIS 2024

作者： Verma, Ankush Rathee, Geetanjali Kerrache, Chaker Abdelaziz Netaji Subhas University of Technology Dpt. of Computer Science And Engineering New Delhi110078 India Université Amar Telidji De Laghouat Dpt. of Computer Science Laghouat Algeria

ISBN: (纸本)9798350350265

Recently, the Internet of Things (IoT) has gained widespread popularity, yet its security remains a critical challenge due to the massive amount of information generated by connected devices. While encryption algorithms are commonly employed to protect this information, they are susceptible to various attacks. This paper introduces a novel encryption method to enhance data security in the Consumer IoT domain. The proposed approach combines DNA-inspired encryption with blockchain technology. The DNA encryption algorithm is utilized for the primary encryption phase, followed by the secure handling of encrypted data using blockchain. To evaluate the proposed scheme, a comparison is made with traditional techniques such as RSA, DNA, and a hybrid of both, considering encryption and decryption times. Simulations are conducted using MATLAB software, and an analytical study is performed to assess the performance of the suggested scheme. © 2024 IEEE.

关键词： Cryptography

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Finite fuzzy description logics and crisp representations

Finite fuzzy description logics and crisp representations

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6th International Workshop on Uncertainty Reasoning for the Semantic Web, URSW 2010, Held as Part of the 9th International Semantic Web Conferences, ISWC 2010 and 1st International Workshop on Uncertainty in Description Logics, UniDL2010

作者： Bobillo, Fernando Straccia, Umberto Dpt. of Computer Science and Systems Engineering University of Zaragoza Spain Pisa Italy

ISBN: (纸本)9783642359743

Fuzzy Description Logics (DLs) are a formalism for the representation of structured knowledge that is imprecise or vague by nature. In fuzzy DLs, restricting to a finite set of degrees of truth has proved to be useful, both for theoretical and practical reasons. In this paper, we propose finite fuzzy DLs as a generalization of existing approaches. We assume a finite totally ordered set of linguistic terms or labels, which is very useful in practice since expert knowledge is usually expressed using linguistic terms. Then, we consider fuzzy DLs based on any smooth t-norm defined over this set. Initially we focus on the finite fuzzy DL, studying some logical properties, and showing the decidability of the logic by presenting a reasoning preserving reduction to the classical case. Finally, we extend our logic in two directions: by considering non-smooth t-norms and by considering additional DL constructors. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Data description

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Finite fuzzy description logics: A crisp representation for finite fuzzy ALCH

Finite fuzzy description logics: A crisp representation for ...

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6th International Workshop on Uncertainty Reasoning for the Semantic Web, URSW 2010 - Collocated with the 9th International Semantic Web Conference, ISWC 2010

作者： Bobillo, Fernando Straccia, Umberto Dpt. of Computer Science and Systems Engineering University of Zaragoza Spain Pisa Italy

Fuzzy Description Logics (DLs) are a formalism for the representation of structured knowledge affected by imprecision or vagueness. In the setting of fuzzy DLs, restricting to a finite set of degrees of truth has proved to be useful. In this paper, we propose finite fuzzy DLs as a generalization of existing approaches. We assume a finite totally ordered set of linguistic terms or labels, which is very useful in practice since expert knowledge is usually expressed using linguistic terms. Then, we consider any smooth t-norm defined over this set of degrees of truth. In particular, we focus on the finite fuzzy DL ALCH, studying some logical properties, and showing the decidability of the logic by presenting a reasoning preserving reduction to the non-fuzzy case.

关键词： Data description

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Automatic discovery of translation collocations from bilingual corpora 16

Automatic discovery of translation collocations from bilingu...

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16th European Conference on Artificial Intelligence, ECAI 2004

作者： Barrachina, Sergio Vilar, Juan Miguel Dpt. of Computer Engineering and Science Universitat Jaume I Castellón Spain Dpt. of Programming Languages and Computer Systems Universitat Jaume I Castellón Spain

ISBN: (纸本)9781586034528

We describe a method to automatically discover translation collocations from a bilingual corpus and how these improve a machine translation system. The process of inference of collocations is iterative: An alignment is used to derive an initial set of collocations, these are used in turn to improve the alignment and this new alignment is used to generate new collocations. This process is repeated until no more collocations are found. The final alignment and the set of collocations are used to train a translation model. We use a model that is based on finite state transducers and word clusters and has been modified to work with collocations in addition to single words. We present experiments in which we show that automatic collocations improve translation quality without prior linguistic information.

关键词： Alignment

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IxaMed at CLEF eHealth 2018 task 1: ICD10 coding with a sequence-to-sequence approach 19

IxaMed at CLEF eHealth 2018 task 1: ICD10 coding with a sequ...

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19th Working Notes of CLEF Conference and Labs of the Evaluation Forum, CLEF 2018

作者： Atutxa, A. Casillas, A. Ezeiza, N. Fresno, V. Goenaga, I. Gojenola, K. Martínez, R. Oronoz, M. Perez-De-Viñaspre, O. Dpt. Languages and Computer Systems School of Engineering UPV EHU Bilbao Spain Dpt. Electricity and Electronics Fac. of Science and Technology UPV EHU Leioa Spain Dpt. Languages and Computer Systems Faculty of Informatics UPV EHU Donostia-San Sebastian United States Dpt. Languages and Computer Systems School of Computer Engineering UNED Madrid Spain

Hospital systems routinely assign disease codes (ICD10 codes) to medical records. The challenge stands on treating natural and nonstandard language in which doctors express their diagnoses and, additionally, to solve a large-scale classification problem, as there are thousands of possible codes. In this working notes paper, we present our system and the results of the CLEF 2018 eHealth Evaluation Task 1 on Multilingual Information Extraction-ICD10 coding. This benchmark addresses information extraction in written text with focus on several languages, specifically Hungarian, Italian and French. The goal is to automatically assign ICD10 codes to diagnostic terms of death certificates. The problem can be cast in different ways, for example as a multilabel classification task or as sequence-to-sequence prediction. Our proposal follows this last approach, with promising results, well above the average results for the task. It only relies on the material provided by the task organizers, allowing the application of the same system to all datasets.

关键词： Machine learning

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Recent progress in the RAUVI project: A reconfigurable autonomous underwater vehicle for intervention

Recent progress in the RAUVI project: A reconfigurable auton...

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作者： Sanz, Pedro J. Prats, Mario Ridao, Pere Ribas, David Oliver, Gabriel Ortiz, Alberto Computer Science and Engineering Dpt. Universitat Jaume i Castellon Spain Computer Engineering Dpt. Universitat de Girona Spain Math. and Computer Science Dpt. Universitat de les Illes Balears Palma de Mallorca Spain

ISBN: (纸本)9789537044114

Starting in January 2009, the RAUVI project is a three years coordinated research action funded by the Spanish Ministry of Research and Innovation. This paper shows the research evolution during the first half of RAUVI's live, bearing in mind that the long term objective is to design and develop an underwater autonomous robot able to perceive the environment and, by means of a specific hand-arm system, perform autonomously simple intervention tasks in shallow waters.

关键词： Human robot interaction

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