检索结果-内蒙古大学图书馆

Unispell: universal adapter for interoperability in Polkadot Paraverse

Cluster Computing 2025年第5期28卷 1-14页

作者： Morháč, Dušan Košťál, Kristián Valaštín, Viktor Kotuliak, Ivan Faculty of Informatics and Information Technologies Slovak University of Technology in Bratislava Bratislava Slovakia

Interoperability is a critical aspect of fluent liquidity and healthy blockchain ecosystems. Achieving seamless interoperability within heterogeneous blockchains often proves challenging due to the inconsistencies in architecture, asset registration and management logic, implementations, and smart contract designs. These unresolved challenges frequently cause fragmented liquidity within ecosystems. This paper proposes a modular and novel solution, UniSpell, that works as a universal adapter to achieve seamless interoperability and overcome fragmented liquidity problems. This is possible by leveraging Polkadot’s native cross-chain protocol, XCMP, allowing developers to implement dApps that can source liquidity, cross-chain transfer, and swap assets within one line of code. UniSpell presents a framework that is easily extendable and applicable to multichain ecosystems outside of its native ecosystem, Polkadot. UniSpell’s primary goal is to cultivate a dynamic ecosystem by enhancing liquidity and encouraging the addition of new assets. This approach enables innovation and broadens the adoption of decentralized finance (DeFi) solutions. © The Author(s) 2025.

关键词： Blockchain interoperability Cross-blockchain Cross-chain Fungible assets Kusama XCMP

来源：评论

学校读者我要写书评

暂无评论

RELAXED INERTIAL METHOD FOR SOLVING A CLASS OF BILEVEL VARIATIONAL INEQUALITIES

Applied Set-Valued Analysis and Optimization

引用

Applied Set-Valued Analysis and Optimization 2025年第2期7卷 143-163页

作者： Thuy, Nguyen Thi Thu Toan, Tran Sy Anh, Tran Thi Phuong Faculty of Mathematics and Informatics Hanoi University of Science and Technology Hanoi Viet Nam

In this paper, we investigate a problem of monotone variational inequalities over the solution set of a split variational inequality problem in real Hilbert spaces. We propose a new two-step inertial iterative method with self-adaptive step sizes for approximating the solution of the problem. Our proposed algorithm does not require the co-coerciveness of the associated single-valued operators. Moreover, some parameters are relaxed to accommodate a larger range of values for the step sizes. We obtain strong convergence results under some mild conditions on the control parameters and without prior knowledge of the transformation operators and the monotone and Lipschitz continuous constants of the involved operators. Finally, we apply our result to the traffic network models and we present several numerical experiments to demonstrate the implementability of the proposed method. © 2025 Applied Set-Valued Analysis and Optimization.

关键词： Choquet integral

来源：评论

学校读者我要写书评

暂无评论

Survey of Asynchronous Radiolocation Methods

引用

IEEE Access 2025年 13卷 85613-85640页

作者： Stefanski, Jacek Sadowski, Jaroslaw Gdansk University of Technology Faculty of Electronics Telecommunications and Informatics Gdansk80-233 Poland

This paper reviews asynchronous radiolocation methods, emphasizing their analytical descriptions. Radiolocation systems evolve through the integration of advancements from multiple scientific disciplines, including telecommunications, computer science, electronics, and digital signal processing, making them inherently interdisciplinary. Most existing literature focuses on radiolocation systems with synchronized reference stations, supported by theoretical analyses and experimental studies. In contrast, asynchronous systems are less explored. Synchronous systems are preferred for their high measurement accuracy, achieved by providing a common time reference for the main components involved in measuring the radio signal parameters that are related to the position of mobile devices. However, a loss of synchronization or a failure of master reference stations can prevent object localization, underscoring the need for asynchronous methods as standalone or backup solutions. Additionally, asynchronous approaches allow the integration of multiple independent radiolocation networks, enhancing the efficiency of the localization process. To address this gap, the authors systematized the current knowledge on asynchronous radiolocation methods, which can help researchers to understand this topic and choose appropriate position estimation methods for various applications, taking into account the limitations caused by network or mobile device design. The paper also highlights key asynchronous radiolocation solutions that have been practically implemented, demonstrating their potential and effectiveness in real-world scenarios. © 2013 IEEE.

关键词： Wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

Transforming Internal Auditing: Harnessing Retrieval-Augmented Generation technology

引用

International Journal of Advanced Computer Science and Applications 2025年第4期16卷 785-790页

作者： Stumke, Olive Ndlovu, Fanie Faculty of Accounting and Informatics Department of Auditing and Taxation Durban University of Technology Durban South Africa

The advent of cloud-based Generative AI models, such as ChatGPT, Google Gemini, and Claude, has created new opportunities for improving education through real-time, adaptive learning experiences. Despite their widespread use globally, their application in South African higher education remains limited and underexplored, resulting in an application gap. This paper, as Phase 1 of a larger project, addresses this gap by focusing on the development of a Retrieval-Augmented Generation (RAG) web application designed to enhance Internal Auditing education at the Durban University of technology. This is achieved by integrating three powerful Generative AI models—OpenAI GPT-4o-mini, Google Gemini-1.5-flash, and Anthropic Claude-3-haiku—into a single educational platform that will enable lecturers to manage and augment lecture materials while allowing students to access personalized, AI-generated content. This paper presents the design considerations, architecture, and integration techniques employed in the development of the RAG web application, offering insights into the potential of adaptive learning, personalized learning, and AI-driven tutoring in South Africa’s educational landscape. This paper demonstrates how a RAG web application can provide the building blocks for future Generative AI applications that could enhance teaching and learning with minimal effort from lecturers and learners in the South African context. © (2025), (Science and Information Organization). All rights reserved.

关键词： Teaching

来源：评论

学校读者我要写书评

暂无评论

SOME PROPERTIES OF MINIMAL AND MAXIMAL OPERATORS IN AN ABSTRACT FRAMEWORK

引用

UPB Scientific Bulletin, Series A: Applied Mathematics and Physics 2025年第1期87卷 29-40页

作者： Catană, Viorel Georgescu, Horia-George Department of Mathematics-Informatics Faculty of Applied Sciences National University of Science and Technology POLITEHNICA Bucharest Romania

The main goal of this paper is to give a two-parameter abstract framework in which we build a theory of minimal and maximal operators associated to a linear operator A: D(A) ⊂ X → X, with dense domain D(A), where X is a complex Banach space. We prove an analogue of the Agmon-Douglis-Nirenberg inequality for pseudodifferential operators in our abstract setting. Using this inequality, we show that the minimal and maximal operators of the operator A are equal under suitable hypotheses on the complex Banach space X and on the operator A. As an application, we study the existence and regularity of weak solutions of the linear equations Au = f on the reflexive complex Banach space X. Further, we prove a perturbation result regarding the Agmon-Douglis-Nirenberg estimate when the operator A is perturbed by a potential operator with some suitable properties. Moreover, an application to strongly continuous semigroups of contractions generated by the operator A is given. Finally, we prove that the minimal operator of the operator A is Fredholm under suitable hypotheses. © 2025, Politechnica University of Bucharest. All rights reserved.

关键词： Banach spaces

来源：评论

学校读者我要写书评

暂无评论

Analysis of Centrality Metrics for Geographical Road Networks under Topological Representation

引用

Transactions of the Japanese Society for Artificial Intelligence 2025年第1期40卷 1-11页

作者： Kumano, Masahito Saito, Masaki Kimura, Masahiro Faculty of Advanced Science and Technology Ryukoku University Japan Division of Electronics and Informatics Graduate School of Science and Technology Ryukoku University Japan

Aiming at enhancing geographical road network analysis from a network science perspective, we introduce a novel problem of analyzing the road network in a city, and consider providing a new network centrality metric that could be useful for that problem. The problem addresses vehicular evacuation in urban settings. During emergency and disaster scenarios of vehicular evacuation, the shortest distance routes might not always be the most optimal. Instead, routes that are easier to traverse can be more crucial, even if they involve detours. Also, destinations for evacuation do not necessarily have to be restricted to traditional facilities;broad and well-maintained streets might also serve as suitable alternatives. We focus on the streets as the basic units of the road network to be investigated, and consider a scenario in which people efficiently move from starting intersections around their current places to designated goal streets, following the routes of easiest traversal. For the road network, we employ its topological representation, where vertices and edges correspond to streets and intersections between them, respectively. We thus represent the road network as a vertex-weighted graph, where the weight of each vertex reflects its ease of traversal. By appropriately extending the recently developed edge-centrality metric, "salience", to this vertex-weighted graph, we construct a new network centrality metric to detect critical streets for the newly introduced problem. Using a toy model of road network and real-world urban road networks obtained from OpenStreetMap, we experimentally reveal its distinctive characteristics by comparing it with several baselines. Moreover, we demonstrate that the proposed network centrality metric can successfully find critical streets for vehicular evacuation, which are difficult to detect using baseline methods. © 2025, Japanese Society for Artificial Intelligence. All rights reserved.

关键词： Network topology

来源：评论

学校读者我要写书评

暂无评论

Comparative Analysis of SVM, Naïve Bayes, and Logistic Regression in Detecting IoT Botnet Attacks

引用

International Journal of Advanced Computer Science and Applications 2025年第4期16卷 338-343页

作者： Siswanto, Apri Aji, Luhur Bayu Efendi, Akmar Alfaruqi, Dhafin Azriansyah, M. Rafli Raihan, Yefrianda Informatics Department Faculty of Engineering Universitas Islam Riau Pekanbaru Indonesia Faculty Data Science and Information Technology INTI International University Malaysia

The rapid proliferation of Internet of Things (IoT) devices has significantly increased the risk of cyberattacks, particularly botnet intrusions, which pose serious security threats to IoT networks. Machine learning-based Intrusion Detection Systems (IDS) have emerged as effective solutions for detecting such attacks. This study presents a comparative analysis of three widely used machine learning classifiers—Support Vector Machine (SVM), Naïve Bayes (NB), and Logistic Regression (LR)—to assess their performance in detecting IoT botnet attacks. The experiment uses the BoTNeTIoT-L01 dataset, applying preprocessing techniques such as data cleaning, normalization, and feature selection to enhance model accuracy. The models are trained and evaluated based on standard performance metrics, including accuracy, precision, recall, F1-score, and AUC-ROC. The results indicate that SVM outperforms the other classifiers in terms of detection accuracy and robustness, particularly in detecting malware based on PE files. These findings offer valuable insights into selecting suitable machine learning models for securing IoT environments. Future work will further explore integrating advanced feature selection techniques and deep learning models to improve detection performance. © (2025), (Science and Information Organization). All rights reserved.

关键词： Logistic regression

来源：评论

学校读者我要写书评

暂无评论

Deep learning approaches for classification tasks in medical X-ray, MRI, and ultrasound images: a scoping review

引用

BMC Medical Imaging 2025年第1期25卷 1-17页

作者： Laçi, Hafsa Sevrani, Kozeta Iqbal, Sarfraz Department of Statistics and Applied Informatics Faculty of Economy University of Tirana Tirana Albania Department of Informatics Faculty of Technology Linnaeus University Växjö Sweden

Medical images occupy the largest part of the existing medical information and dealing with them is challenging not only in terms of management but also in terms of interpretation and analysis. Hence, analyzing, understanding, and classifying them, becomes a very expensive and time-consuming task, especially if performed manually. Deep learning is considered a good solution for image classification, segmentation, and transfer learning tasks since it offers a large number of algorithms to solve such complex problems. PRISMA-ScR guidelines have been followed to conduct the scoping review with the aim of exploring how deep learning is being used to classify a broad spectrum of diseases diagnosed using an X-ray, MRI, or Ultrasound image modality. Findings contribute to the existing research by outlining the characteristics of the adopted datasets and the preprocessing or augmentation techniques applied to them. The authors summarized all relevant studies based on the deep learning models used and the accuracy achieved for classification. Whenever possible, they included details about the hardware and software configurations, as well as the architectural components of the models employed. Moreover, the models that achieved the highest accuracy in disease classification were highlighted, along with their strengths. The authors also discussed the limitations of the current approaches and proposed future directions for medical image classification. © The Author(s) 2025.

关键词： Deep learning Medical image classification MRI Ultrasound X-ray

来源：评论

学校读者我要写书评

暂无评论

A Self-adapting Pixel Antenna - Substrate Lens System for Infrared Frequencies

Periodica Polytechnica Electrical Engineering and Computer S...

引用

Periodica Polytechnica Electrical Engineering and Computer Science 2025年第1期69卷 14-25页

作者： Shubbar, Mustafa Rakos, Balázs Department of Automation and Applied Informatics Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Műegyetem rkp. 3. BudapestH-1111 Hungary

In this work, we propose a concentrator lens - antenna arrangement, potentially suitable for infrared sensing and energy harvesting rectenna systems. The structure consists of a pixel antenna, self-adapting for the direction of the incident infrared radiation, and a concentrator lens, both optimized for the mid-infrared spectrum. The silicon substrate lens is situated above the pixel antenna, enabling the concentration of the incident light on the antenna;silicon was chosen due to its transparency in the IR spectrum. We examine how various parameters of the lens, in conjunction with the different states of the pixel antenna, affects the performance of the system. The simulations show that the gain of the arrangement increases considerably in correlation with the radius of the lens. The results suggest that the energy conversion efficiency of infrared rectenna systems can be enhanced by several orders of magnitude with the utilization of the proposed arrangement. © 2025 Budapest University of technology and Economics. All rights reserved.

关键词： Rectennas

来源：评论

学校读者我要写书评

暂无评论

A new CNN-based watermarking method for color medical images in a fusion domain

引用

Neural Computing and Applications 2025年 1-19页

作者： Hosny, Khalid M. Abdel-Aziz, Mostafa M. Lashin, Nabil A. Hamza, Hanaa M. Department of Information Technology Faculty of Computers and Informatics Zagazig University Zagazig44519 Egypt Department of Information Technology Faculty of Information Technology and Computer Science Sinai University Arish Campus Al-Arish45518 Egypt

The transmission of medical images via medical agencies raises security concerns, necessitating increased security measures to ensure integrity and security. However, many watermarking algorithms overlook equipoise;the relation between robustness, invisibility, and payload capacity results in a less satisfactory performance. To bridge this gap, we propose a new blind watermarking method for securing medical images based on a convolutional neural network in a fusion domain. First, we transmute the host color image using a phase-only transform (PHOT) to detect the surface pattern. We feed the detected surface pattern into a pre-trained VGG19 model to impeccably extract the stable feature vector. We encrypt the extracted image features using a hybrid Chirikov map to enhance their robustness and reliability. The synergy between the pre-trained VGG19 model and PHOT in an integrated domain effectively captures additional native and localized image features. A hybrid Fibonacci Q-matrix method scrambles the binary watermark to enhance security. Integrating double encryption into the proposed method markedly enhances its resistance against diverse countermeasures. Experimental outcomes indicate that the proposed scheme performs efficiently in robustness and invisibility. The obtained PSNR value was up to 60.15 dB, which is optimal for human perception. The embedded watermark can be retrieved without any warping. The retrieved watermark seems to be authentic, exhibiting ideal BER and NC values. In almost all attack circumstances, the BER values approached zero while the NC values got closer. The proposed method demonstrates notable enhancements in robustness and invisibility compared to prior methods. © The Author(s) 2025.

关键词： Watermarking

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：