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A Mobile-Based Architectural Framework and Evaluation for Flipped Learning in Open and Distance Education

A Mobile-Based Architectural Framework and Evaluation for Fl...

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2024 international conference on Science, engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024

作者： Azeta, Ambrose A. Lucky, Enosegbe D. Ejembi, Emmanuel Azeta, Joy I. Tjiraso, Steven Namibia University of Science and Technology Department of Software Engineering Namibia Caleb University Lagos Ikorodu Nigeria International Training College Lingua Namibia Covenant University Department of Biological Sciences Nigeria

ISBN: (纸本)9798350358155

The flipped learning system is a method of teaching and a type of blended learning that makes an inverse of the traditional learning environment in classroom setting. Existing flipped learning systems do not properly put measures in place to ensure that communication between teachers and students are intact, even in an open and distance education. The objective of this study is to design a mobile-based architectural framework for flipped learning in open and distance education. In designing the application, schematic diagram, Unified Modeling Language such as class and activity diagrams were engaged. The system was implemented within the Xamarin studio for android development using the C# Programming language, Firebase and Mongo DB as the online database service. The application gives the power and learning means to the student in a manner that they can conduct all academic educational services within a user-friendly mobile environment. The application was evaluated using cognitive walkthrough strategy. The results of the usability evaluation suggest that the prototype application presented in this chapter has "good usability"based on the total mean rating. When deployed, the application would help immensely with making classroom activities more engaging and easy to navigate. © 2024 IEEE.

关键词： Schematic diagrams

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Research on Product Recommendation System of Online Mall Based on Graph Neural Network 6

Research on Product Recommendation System of Online Mall Bas...

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6th international conference on software engineering and Computer Science, CSECS 2023

作者： Chenxi, Zhao Xie, Run-Dan Jinfa, Kuang School of Information Engineering Nanchang Institute of Technology Nanchang China Maths & Physics College Jinggangshan University Ji'an China School of Naval Architecture Ocean and Energy Power Engineering Wuhan University of Technology Wuhan China

ISBN: (纸本)9798350306378

In the current era of Internet and e-commerce, the research and application of product recommendation system in online mall has become an important field. With the rapid development of big data technology and the accumulation of user behavior data, the product recommendation system of online mall has also become the core of the recommendation system. At present, a variety of recommendation algorithms, including collaborative filtering, content-based recommendation and deep learning, have been widely studied and applied. Online mall product recommendation needs to have real-time, can quickly respond to user interaction and changes in commodity inventory. Therefore, the recommendation system needs to have efficient algorithm and technology, as well as reasonable system architecture to support real-time recommendation service. However, in the past, the product recommendation system in the online mall was often simple and limited. Simple methods such as popularity-based, content-based and collaborative filtering are mainly used for recommendation, but there are some problems such as insufficient personalization and inaccurate characterization of user characteristics. Traditional recommendation systems tend to recommend products to users that they already like, but this can lead to problems of information filtering and user interest limitation. In addition, the traditional recommendation method is still based on the similarity of product content to recommend products with similar characteristics to users through the analysis of product text description, label and other information. However, this traditional approach still has its limitations in the face of complex product classification systems and detailed characterization of user preferences. Therefore, by aggregating the feature information from the neighbors of the central node in the graph and combining the aggregated information with the current representation of the central node, this paper achieves the purpose of

关键词： Recommender systems

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Refined multi-channel inception network for automobile insurance fraud identification based on attention mechanism and dense connection structure

Refined multi-channel inception network for automobile insur...

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2023 international conference on Computer Application and Information Security, ICCAIS 2023

作者： Wang, Deguang Zhang, Ting Li, Fengqi Tong, Ning Xu, Fengqiang School of Software Dalian Jiaotong University Liaoning Dalian116028 China School of Computer Communication and Engineering Dalian Jiaotong University Liaoning Dalian116028 China The Dalian Key Laboratory of Blockchain Technology and Application Liaoning Dalian116028 China

ISBN: (纸本)9781510675032

Automobile insurance fraud causes huge economic losses to insurance companies, detection technology has become an urgent research topic. However, feature selection manually is prone to subjective judgment, which results in a decline in recognition accuracy. To settle this problem, a refined multi-channel Inception network for automobile insurance fraud identification based on an attention mechanism and dense connection architecture is proposed. Firstly, we redesign the backbone structure of inception network to strengthen feature extraction ability. Secondly, attention mechanism is fused to inception module, enabling network to pay attention to important features. Furthermore, a dense connection structure is introduced to Inception network, which strengthens the transmission of features. Finally, this paper carries out mass experiments on a real-world "***" dataset. Experimental results reveal that our proposed approach achieves impressive performance on automobile insurance fraud identification tasks and can reach 98.12% accuracy, 98.19% precision and 98.12% recall and 98.12% f1_score, respectively. © 2024 SPIE.

关键词： Feature extraction

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Intelligent Contract Timestamp Vulnerability Detection Based on Key Control Flow Graph 36

Intelligent Contract Timestamp Vulnerability Detection Based...

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36th international conference on software engineering and Knowledge engineering, SEKE 2024

作者： Quan, Qing Yu Zeng, Cheng Wang, Yi Feng Wang, Jiao Ran School of Computer Science and Information Engineering Hubei University Wuhan China School of Artificial Intelligence Hubei University Wuhan China Key Laboratory of Intelligent Sensing System and Security Hubei University Ministry of Education Wuhan China

ISBN: (纸本)1891706594

The extensive application of smart contract technology in the blockchain domain has positioned it as a key component of the digital economy. However, as the application scope of smart contracts expands, security issues have become increasingly evident, resulting in substantial economic losses. Current vulnerability detection methods largely depend on analyzing complete smart contract source code, which struggles to filter out extensive redundant information when identifying individual vulnerabilities. This leads to an insufficient exploration of the characteristics of smart contract code, which in turn results in lower overall accuracy of detection methods. In this context, the study introduces a method that transforms smart contract source code into a control flow graph, filtering out the main basic blocks based on key information about timestamp vulnerabilities. Subsequently, individual operation audits are conducted on these basic blocks, combined with the graphical structure of the control flow graph, utilizing gated graph neural networks for detecting timestamp vulnerabilities in smart contracts. Comparative experiments were performed on two public datasets, and the results indicate that compared to state-of-the-art detection methods, the proposed approach has improved the accuracy and F1 score for detecting timestamp vulnerabilities in smart contracts by 1.65% and 6.51%, providing valuable application prospects for the security of smart contracts. © 2024 Knowledge Systems Institute Graduate School. All rights reserved.

关键词： Graph neural networks

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A Comparison of Visualization Concepts and Tools for Variant-Rich System engineering 23

A Comparison of Visualization Concepts and Tools for Variant...

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27th ACM international Systems and software Product Line conference, SPLC 2023

作者： Chen, Siyue Cleophas, Loek Krüger, Jacob Eindhoven University of Technology Eindhoven Netherlands Stellenbosch University Stellenbosch South Africa

ISBN: (纸本)9798400700910

software product-line engineering is concerned with developing a set of similar, yet customized, software systems that share a common codebase. To develop such a variant-rich system, various development processes, techniques, and tools have been studied in research and are used in practice. Specifically, to help developers manage the complexity of developing large-scale variant-rich systems, researchers have proposed visualizations to visually present different properties of such systems and their engineering - -such as feature models, configurations, the similarity of variants, or process traces. Two recent mapping studies have systematically elicited the state-of-the-art on such visualizations, but neither of them provides a comparative analysis of the underlying visualization concepts and tools. In this paper, we report a qualitative meta-analysis of the 64 papers that we primarily selected from these two mapping studies. Advancing on the previous studies, we compare the use cases, pros, cons, and relations between visualization concepts and tools used with respect to engineering variant-rich systems. Our results provide insights - -orthogonal to those from the mapping studies - -regarding the purposes for which visualization concepts are used and the tools that are available to implement these concepts. The overview we provide can help researchers as well as practitioners decide to use specific established visualization concepts or design new ones, and identify tools that can help them to implement these. © 2023 Owner/Author.

关键词： Visualization

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Design of Control System for Electron-Beam Diagnostic Equipment Based on Electrical Magnet 1

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international conference on Wireless Power Transfer (ICWPT)

作者： Xu, Hongjie Zeng, Yifeng Hu, Tongning Li, Xiaofei Zhou, Feng Fan, Kuanjun Huazhong Univ Sci & Technol Sch Elect & Elect Engn Wuhan 430074 Peoples R China China Elect Power Res Inst Wuhan 430074 Peoples R China

ISBN: (数字)9789819708659

ISBN: (纸本)9789819708673;9789819708659;9789819708642

An accelerator-based facility, such as an FEL injector, has stringent requirements on the quality of electron beam, and the electron beam is directly determined by beam injector, which is generally a source to provide driven beams with the energy of several MeVs. Since such space-charge dominated relativistic beams are sensitive and easy to be deteriorated during transportation, it is necessary to carry out online monitoring of beam quality under commissioning, so as to achieve accurate measurement of beam parameters such as beam spot size, beam emittance and beam energy spread, and beam current. The whole measuring facility is composed of magnetic components such as analysis magnet and quadrupole magnet. It is necessary to control and monitor the magnet current, and then display the data uniformly to the operating interface and feed back to the user through different control and measuring devices in the system. This paper introduces the basic principle of beam measuring device and the layout design of measuring system. Based on EPICS system and LabVIEW software, a distributed three-layer architecture control and measuring system is developed, which can realize feedback control, remote monitoring and signal acquisition. The whole system is stable and reliable in operation, convenient in use, high in beam parameter accuracy and accurate in calculation, which improves the efficiency of online monitoring.

关键词： Electrical engineering Free Electron Laser Beam Measurement System

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Competency Framework in Higher Education: A Bibliometric Analysis from 2000 to 2023 24

Competency Framework in Higher Education: A Bibliometric Ana...

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8th international conference on Education and Multimedia technology, ICEMT 2024

作者： Tjandra, Ellysa Ferdiana, Ridi Setiawan, Noor Akhmad Kusumawardani, Sri Suning Department of Informatics Faculty of Engineering University of Surabaya Surabaya Indonesia Department of Electrical Engineering and Information Technology Gadjah Mada University Yogyakarta Indonesia

ISBN: (纸本)9798400717611

This study performs a bibliometric mapping analysis of the competency framework in higher education research utilizing the Scopus database using the Search, Appraisal, Synthesis, and Analysis (SALSA) technique. Our study comprehensively outlines the competency framework research from 2000 to 2023. We analyze and synthesize previous works to uncover topic areas, highlight prospective research subjects, and identify common trends and patterns. We collected all journal and conference publications from 2000 to 2023, from which 366 papers were examined further using the VOSviewer software to determine the co-authorship coupling between documents and discover the most frequently used keywords. This study finds that the competency framework is still being researched worldwide and shows an increasing trend, significantly from 2019 and culminating in 2021 and 2023. Competency framework research is primarily explored in Social Science, Medicine, Nursing, Computer Science, Business, Management, and Accounting. It is performed in 63 countries, mainly in developed countries: the United States, the United Kingdom, and Canada. This paper also finds the main contributors to competency framework studies. We discovered that studies on competency framework are grouped into six clusters of keyword co-occurrences, and the highest linked keywords are"human,""humans,""article,""curriculum,""education,""medical education," and"clinical competence." We also provide further analysis and find the newest related keywords that can be used as a basis for future studies. © 2024 Copyright held by the owner/author(s).

关键词： Medical education

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Unsupervised Cross-Domain Adaptation through Mutual Mean Learning and GANs for Person Re-identification 3

Unsupervised Cross-Domain Adaptation through Mutual Mean Lea...

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3rd IEEE international conference on Artificial Intelligence, ICAI 2023

作者： Yao, Leethar Lin, Bo-Yu Ul Haq, Qazi Mazhar Ul Islam, Ihtesham National Taipei University of Technology Department of Electrical Engineering Taipei Taiwan Graduate Institute of Automation Technology National Taipei University of Technology Taipei Taiwan National University of Sciences and Technology Department of Computer Software Engineering Islamabad Pakistan

ISBN: (纸本)9798350322125

Unsupervised cross-domain adaptation is a challenging task for person re-identification due to the unavailability of target domain labels. Among existing methods, pseudo-Iabels-based methods have considerable performance but most of them use target domain data without labels which are challenging difficult for the target model to learn enough features. In this paper, we use generative based models that generate more target data. In cooperation with the generative model, a mutual learning model is used to transfer knowledge of one model to another model that ultimately improves overall model performance. Ex-tensive experiments are performed on Duke and Market datasets that significantly achieve improved performance in comparison to state-of-the-art methods. © 2023 IEEE.

关键词： Generative adversarial networks

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Static Stress Analysis of Dental Crown with Different Materials Using Finite Element Approach

Static Stress Analysis of Dental Crown with Different Materi...

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international conference on Mechanical engineering: Researches and Evolutionary Challenges, ICMech-REC 2023

作者： Ramu, I. Chandra Sekhar, J. Manikanta, N.V.V. Venu, M. Malleswararao Battina, N. Department of Mechanical Engineering Vishnu Institute of Technology Bhimavaram534202 India Department of Mechanical Engineering Shri Vishnu Engineering College for Women Andhra Pradesh Bhimavaram India

ISBN: (纸本)9789819722488

The study involved embedding a three-dimensional (3D) computed tomography (CT) model into a finite element simulation. The idea is to simulate the state of decay caused by the decayed tooth by preparing a model that represents the actual crown fitting. The CT scan-based model simulation can be utilized as a tool for estimating pressure distribution, according to the study. By using the simulation package software, the dental crown is developed with the Autodesk Mesh mixer, and static analysis is performed using simulation software. With the results of this study, using a finite element model as an alternative method for pre-fabrication and evaluation of crowns will be of considerable interest to fabricators. Following this study, healthcare providers and engineers should be able to simulate the fit and comfort of patients more easily for replacement purposes. The results of this study will contribute to the development of a system to evaluate pre-fabrication in the future. Dentists use this examination to select materials for dental crowns that will be stress-tested. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Finite element method

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Research on the Collaborative Mechanism of P4Runtime and SAI in White Box Switches Based on the SONiC System 5

Research on the Collaborative Mechanism of P4Runtime and SAI...

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5th IEEE international conference on Power, Electronics and Computer Applications, ICPECA 2025

作者： Pan, Zhuyu Wang, Hongchao Yan, Chen Zhang, Zishi School of Electronic and Information Engineering Beijing Jiaotong University Beijing China

ISBN: (纸本)9798331533694

With the advancement of software-Defined Networking (SDN) technology, network programmability and flexibility have been significantly enhanced. However, effectively integrating traditional network systems with emerging programmable platforms remains a critical research challenge. This paper proposes a fusion architecture based on the P4Runtime protocol to achieve deep integration of SONiC white box switches and the P4 platform. By introducing SDN programmability, we design and implement a hybrid model that enables traditional network architectures to achieve advanced functionalities with the assistance of external SDN controllers. This paper provides a detailed discussion of the architecture design and implementation process, including P4 code development, compilation, target configuration file generation, and interaction mechanisms between the control plane and the data plane. Furthermore, we validate the applicability and performance of the architecture in various scenarios, offering robust support for future research and applications in programmable networks. © 2025 IEEE.

关键词： Internet protocols

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