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13th International Conference on Software and Computer Applications, ICSCA 2024

作者： Steinert, Patrick Wagenpfeil, Stefan Frommholz, Ingo Hemmje, Matthias L. University Of Hagen Faculty Of Mathematics And Computer Science Hagen Germany Pfh Private University Of Applied Sciences Faculty Of Business Computing And Software Engineering Göttingen Germany University Of Wolverhampton School Of Mathematics And Computer Science Wolverhampton United Kingdom

ISBN: (纸本)9798400708329

This paper addresses the challenges in integrating Metaverse Recordings in Multimedia Information Retrieval as a new type of multimedia. Specifically, we describe the characteristics of video content and explain the key differences of a metaverse to other videos. We present a specialized process to analyze and index Metaverse Recordings. We demonstrate that existing techniques can be used for metaverse-specific retrieval, but need content-specific adaptions. Furthermore, we evaluate a prototypical implementation based on the proposed methods with respect to the impact on the retrieval process. © 2024 Owner/Author.

关键词： Multimedia systems

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Fog computing in Optical Access Networks: An Energy-efficient and Deadline-aware Task Scheduling Mechanism 13

Fog Computing in Optical Access Networks: An Energy-efficien...

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13th International Conference on Information Technology in Asia, CITA 2023

作者： Ahmad, Fathiyah Haji Shah Newaz, S.H. Sankar, D.S. Ramlie, Rudy Nafi, Nazmus Shaker School of Computing and Informatics GadongBE1410 Brunei Kaist Institute for Information Technology Convergence Daejeon34141 Korea Republic of School of Applied Sciences and Mathematics GadongBE1410 Brunei Boeing Defence Australia AdelaideSA5111 Australia

ISBN: (纸本)9798350326208

Fog computing is paving the way for catering latency stringent applications (e.g., augmented reality and virtual reality) at the customer premises. Fog computing nodes are located between the end user devices and remote cloud. They are lightweight and small-scale storage and processing system deployed closer to the data source, allowing faster processing as well as providing privacy and security of the data. We have been witnessing a growing number of solutions that integrate Passive Optical Network (PON) with the fog computing. Along this research line, there are some solutions considering fog computing nodes are co-located with the Optical Line Terminal (OLT), the central intelligence of a PON system, and Optical Network Unit (ONU), a customer premises equipment. There are some solutions, on the other hand, that propose to embed computing and storage functionality within PON equipment itself. In this paper, we particularly focus on the later approach. Here, we propose an energy conserving solution for a PON system with fog computing enabled ONUs, i.e., the ONUs are equipped with additional computing and Storage Units (CSUs). Our solution aims at minimizing energy consumption of a PON system by keeping only the required number of CSUs active and allowing the ONUs to move into sleep mode (whenever possible) by taking into account task arrival rate and task completion deadline. © 2023 IEEE.

关键词： Energy efficiency

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Modified fuzzy clustering algorithm based on non-negative matrix factorization locally constrained

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Journal of Ambient Intelligence and Humanized computing 2023年第8期14卷 11373-11383页

作者： Li, Xiangli Fan, Xuezhen Lu, Xiyan School of Mathematics and Computing Science Guilin University of Electronic Technology Guilin541004 China Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation Guilin University of Electronic Technology Guilin541004 China Guangxi Applied Mathematics Center Guilin University of Electronic Technology Guilin541004 China

The fuzzy C-means (FCM) algorithm is a classical clustering algorithm which is widely used. However, especially for high-dimensional data sets with complex structures, the large-scale calculation of FCM suffers from decreasing clustering effect. In order to improve the clustering performance, we propose two new modified fuzzy clustering algorithms—modified fuzzy clustering algorithm based on non-negative matrix factorization (MFCM-NMF) and modified fuzzy clustering algorithm based on non-negative matrix factorization with local constraint (MFCM-LCNMF). Since MFCM-NMF combines NMF with modified FCM, the algorithm can use the dimensionality reduction technology of NMF, which greatly improves the computational efficiency. MFCM-LCNMF introduces NMF with local linear constraints into modified FCM, and it has a new objective function and adopts a new algorithm for alternate iteration. In the iterative process, the new membership update formula is utilized for the samples selected by the triangle inequality, which not only reduces the amount of calculation, but also obtains a higher clustering quality. Finally, a number of experiments on many data sets verify that MFCM-NMF and MFCM-LCNMF are more effective compared with other state-of-the-art methods. © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Non-negative matrix factorization

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Improving MQTT Security Through the Generation of Malicious Test Cases

Improving MQTT Security Through the Generation of Malicious ...

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2025 Joint National Conference on Cybersecurity, ITASEC and SERICS 2025

作者： Polisiani, Camilla Cespi Calzarossa, Maria Carla Zuppelli, Marco Caviglione, Luca Guarascio, Massimo University of Pavia Pavia Italy Institute of Applied Mathematics and Information Technologies Genova Italy Institute for High Performance Computing and Networking Rende Italy

The pervasive deployment of IoT technologies accounts for a variety of hazards often requiring a cross-layer approach. For example, the security posture of brokers responsible for handling the Message Queuing Telemetry Transport (MQTT) protocol has to be assessed at different functional layers, thus it is important to generate test cases ranging from network traffic conditions to application-specific patterns. Alas, this is a time consuming and poorly-generalizable process. Therefore, this paper proposes two frameworks for improving IoT security. The first is a suite for creating traffic flows starting from real traces or arbitrary configurations. The second is a Small Language Model that can produce realistic MQTT topics. To demonstrate their effectiveness, we showcase how they can be used to mitigate covert communications targeting IoT ecosystems. Results indicate that our tools can provide realistic test conditions for advancing IoT security, especially to better comprehend attacks targeting the MQTT protocol. © 2025 Copyright for this paper by its authors

关键词： Telemetering

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Multi-source data fusion evaluation method based on Uncertainty Quantification and Bayes method for success-failure type test 5

Multi-source data fusion evaluation method based on Uncertai...

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5th International Conference on Computer Information Science and Artificial Intelligence, CISAI 2022

作者： Wang, Jiajia He, Jingyuan Ma, Jing Beijing Jinghang Research Institute of Computing and Communication Beijing China Applied Mathematics Research Center of China Aerospace Science and Industry Group Beijing China

ISBN: (纸本)9781510662520

In this paper, we use Uncertainty Quantification method to analyse the data from three types of success-failure type test sources: physical test, semi-physical test and computer simulation test. Bayes method is used to evaluate the data fusion of multiple source test, and the validity and applicability of the method are verified by experiments. © 2023 SPIE.

关键词： Data fusion

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Simple Deterministic Approximation for Submodular Multiple Knapsack Problem 31

Simple Deterministic Approximation for Submodular Multiple K...

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31st Annual European Symposium on Algorithms, ESA 2023

作者： Sun, Xiaoming Zhang, Jialin Zhang, Zhijie Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Center for Applied Mathematics of Fujian Province School of Mathematics and Statistics Fuzhou University China

ISBN: (纸本)9783959772952

Submodular maximization has been a central topic in theoretical computer science and combinatorial optimization over the last decades. Plenty of well-performed approximation algorithms have been designed for the problem over a variety of constraints. In this paper, we consider the submodular multiple knapsack problem (SMKP). In SMKP, the profits of each subset of elements are specified by a monotone submodular function. The goal is to find a feasible packing of elements over multiple bins (knapsacks) to maximize the profit. Recently, Fairstein et al. [ESA20] proposed a nearly optimal (1 − e−1 − ϵ)-approximation algorithm for SMKP. Their algorithm is obtained by combining configuration LP, a grouping technique for bin packing, and the continuous greedy algorithm for submodular maximization. As a result, the algorithm is somewhat sophisticated and inherently randomized. In this paper, we present an arguably simple deterministic combinatorial algorithm for SMKP, which achieves a (1 − e−1 − ϵ)-approximation ratio. Our algorithm is based on very different ideas compared with Fairstein et al. [ESA20]. © Xiaoming Sun, Jialin Zhang, and Zhijie Zhang

关键词： Approximation algorithms

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Research on Fusion evaluation of numerical and real tests based on prior information reliability

Research on Fusion evaluation of numerical and real tests ba...

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2023 International Conference on Electronic Information Engineering and Data Processing, EIEDP 2023

作者： Ma, Jing Wang, Jiajia Hou, Jian Liang, Hange Beijing Jinghang Research Institute of Computing and Communication Beijing China Applied Mathematics Research Center of China Aerospace Science and Industry Group Beijing China

ISBN: (纸本)9781510666160

In view of the characteristics of multiple test types and evaluation indexes of information equipment performance, this paper studies the reliability measurement of prior information from different sources of test information, such as physical test, semi-physical test, simulation test and physical substitution test, starting from the distribution difference of test data, and carries out the research on the fusion evaluation method of numerical and real tests based on prior information, to improve the test efficiency, shorten the development period, reduce the test cost, and provide technical and theoretical support for obtaining more reliable equipment test evaluation results. © 2023 SPIE.

关键词： Numerical methods

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Single-step Retrosynthesis via Reaction Center and Leaving Groups Prediction 16

Single-step Retrosynthesis via Reaction Center and Leaving G...

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16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2023

作者： Zhu, Jiajun Hong, Binjie Lan, Zixun Ma, Fei Xi'an Jiaotong-Liverpool University Department of Information and Computing Science Suzhou China Xi'an Jiaotong-Liverpool University Department of Applied Mathematics Suzhou China

ISBN: (纸本)9798350330755

Retrosynthesis aims to break down desired molecules into accessible building blocks in a systematic manner. However, current template-based retrosynthesis approaches face limitations due to a fixed set of training templates, hindering their ability to discover new chemical reactions. To overcome this challenge, we present a novel retrosynthesis prediction framework that can generate new chemical templates beyond the training set. This innovative approach has demonstrated superior performance compared to previous template-based methods. Additionally, we propose a method to improve atomic mapping accuracy by matching the maximum common subgraph of the reaction center and leaving group in the retrosynthetic template. This enhancement effectively increases the precision of atomic mapping settings. © 2023 IEEE.

关键词： Mapping

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Social Engineering in Social Network: A Systematic Literature Review

Social Engineering in Social Network: A Systematic Literatur...

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2023 International Symposium on Networks, Computers and Communications, ISNCC 2023

作者： Abubaker, Ali Adnan Eleyan, Derar Eleyan, Amna Bejaoui, Tarek Katuk, Norliza Al-Khalidi, Mohammed Palestine Technical University Kadoorie Applied Computing Department Palestine Manchester Metropolitan University Department of Computing and Mathematics Manchester United Kingdom University of Carthage Computer Engineering Department Tunisia School of Computing University Utara Malaysia Kedah Sintok06010 Malaysia

ISBN: (纸本)9798350335590

Social engineering is hacking and manipulating people's minds to obtain access to networks and systems in order to acquire sensitive data. A social engineering attack happens when victims are unaware of the strategies utilised and how to avoid them. Although rapid developments in communication technology made communication between individuals easier and faster, on the other hand, individuals' personal and private information is likely to be available online via social networking or other services without adequate security measures to protect such sensitive data. Hackers can use social engineering to target them no matter the technology they use to protect themselves. The methods differ, and the goal is the same, which is to manipulate and deceive organisations, companies, and individuals to obtain sensitive and private in-formation that attackers can benefit from, perhaps to sell it on the dark web or steal the payment card information of victims. The current research presents the attack techniques used in social engineering, as well as ways for pre-venting social engineering assaults. The major purpose of this study is to systematically and impartially conduct a systematic review of previous research on current social engineering attacks and the methods used to reduce these attacks. © 2023 IEEE.

关键词： Sensitive data

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The positive mass theorem for asymptotically flat manifolds with isolated conical singularities

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Science China mathematics 2024年

作者： Xianzhe Dai Yukai Sun Changliang Wang Department of Mathematics University of California Santa Barbara Key Laboratory of Pure and Applied Mathematics School of Mathematical SciencesPeking University School of Mathematical Sciences and Institute for Advanced Study Key Laboratory of Intelligent Computing and Applications (Ministry of Education)Tongji University

We prove the positive mass theorem for asymptotically flat(AF for short) manifolds with finitely many isolated conical singularities. We do not impose the spin condition. Instead, we use the conformal blow-up techniqu...

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