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AI-Driven Cybersecurity and Functional Framework for Remote Laboratories: A software engineering Perspective

AI-Driven Cybersecurity and Functional Framework for Remote ...

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Computational Intelligence Approaches and Applications (ICCIAA), International conference on

作者： Nesreen Otoum Enrique Arias Jesús Jover Alfaro Department of Software Engineering University of Petra Amman Jordan Department of Computer Systems University of Castilla-La Mancha Albacete Spain Albacete Research Institute of Informatics University of Castilla-La Mancha Albacete Spain

ISBN: (数字)9798331523657

ISBN: (纸本)9798331523664

Remote laboratories have reshaped the way engineering courses provide hands-on experimentation by enabling students to control physical lab equipment via online interfaces. nevertheless, their ease, However, these platforms face challenges such as security vulnerabilities, performance instability, and limited user support. This paper introduces a layered framework that integrates artificial intelligence (AI) into a secure, modular design. Using conventional software engineering techniques, our approach improves cybersecurity through intelligent threat detection, automated resource balancing, and context-aware user interaction. We provide a comprehensive explanation of the framework's architecture, which methodically addresses critical requirements. This includes a proactive cybersecurity apparatus that adapts to emergent threats, as well as real-time device control and data acquisition. Ultimately, this work aims to assist educators and institutions build or modernize remote lab environments that offer robust protection and seamless learning outcomes, even under rapidly shifting demands.

关键词： Remote laboratories computer architecture Threat assessment Real-time systems Resource management Reliability computer security Protection Standards software engineering

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Cyberbullying Detection Using Bag-of-Words, TF-IDF, Parallel CNNs and BiLSTM Neural Networks 23

Cyberbullying Detection Using Bag-of-Words, TF-IDF, Parallel...

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23rd International conference on New Trends in Intelligent software Methodologies, Tools and Techniques, SoMeT 2024

作者： Fattahi, Jaouhar Sghaier, Feriel Mejri, Mohamed Bahroun, Sahbi Ghayoula, Ridha Manai, Elyes Department of Computer Science and Software Engineering Laval University 2325 rue de l'Université QuébecQCG1V 0A6 Canada Ecole Nationale d'Ingénieurs de Carthage Université de Carthage Tunis Tunisia Institut Supérieur d'Informatique Université de Tunis El-Manar Tunis Tunisia Faculty of Engineering Information Systems Department University of Moncton New Brunswick Canada

ISBN: (纸本)9781643685380

Cyberbullying, marked by its persistent and intentional aggression online, yields severe repercussions for its victims, extending beyond immediate distress to long-lasting effects such as heightened anxiety, depression, and social withdrawal. Individuals subjected to Cyberbullying often grapple with diminished self-esteem, compromised academic performance, and strained interpersonal relations. Given the escalating prevalence of this digital menace, there is a pressing need for advanced methodologies to address it effectively. This paper introduces an approach to Cyberbullying detection, integrating techniques such as Bag-of-Words (BoW) and Term Frequency-Inverse Document Frequency (TF-IDF) analyses, along with the parallel processing capabilities of Convolutional Neural Networks (CNNs) and the contextual comprehension provided by Bidirectional Long Short-Term Memory (BiLSTM) networks. Through an experimentation on the latest Ejaz-Choudhury-Razi Cyberbullying dataset, our framework exhibits satisfactory performance in identifying instances of online hostility. These results underscore the potential of our approach to significantly contribute to ongoing efforts aimed at combating Cyberbullying in digital environments. © 2024 IOS Press. All rights reserved.

关键词： Convolutional neural networks

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Development of Remote Laboratory System with Multi-degree Viewing Access in Support for Distance Learning Initiative 7th

Development of Remote Laboratory System with Multi-degree Vi...

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7th International conference on Mechanical, Manufacturing and Plant engineering, ICMMPE 2021

作者： MohdZubir, Mohd Nashrul Mahmud, Faisal Hakeem Azman, Azfar Yazed Ahmad, Mohd Obaidellah, Unaizah Abdullah, Zuraidah Adib Kadri, Nahrizul Ahmad, Norhafizan Ali, Mohammed A. H. Department of Mechanical Engineering Faculty of Engineering Universiti Malaya Kuala Lumpur Malaysia Faculty of Computer Science and Technology Universiti Malaya Kuala Lumpur Malaysia Department of Biomedical Engineering Faculty of Engineering Universiti Malaya Kuala Lumpur Malaysia Department of Artificial Intelligence Faculty of Computer Science and Information Technology Universiti Malaya Kuala Lumpur Malaysia Department of Educational Management Planning and Policy Faculty of Education Universiti Malaya Kuala Lumpur Malaysia

ISBN: (纸本)9789811933066

The project highlights the work on establishing a remote laboratory system that can be operated via the web as part of the effort to support online distance learning programs. To achieve this objective, integration of the hardware, software, and network communication modules was performed, enabling real-time remote access and interaction between the user and the remote infrastructure. The entire system was locally developed which requires linking between a web application software and server software to ensure uninterrupted online communication during the remote activities. The physical interaction within the lab was realized via human interface machine and microcontroller which translate the command given by the user from the web into set of instructions to control and operate the lab. The current prototype has solved the persisting challenges in implementing web-based remote control systems namely data lagging and false data acquisition via the use of server systems and data transfer algorithms. This strategy ensures data integrity and reliability to be displayed to the user in real-time. A new robotic viewing system has been developed and incorporated within the laboratory infrastructure. This new feature allows more freedom in coordinating user viewing flexibility which is crucial in capturing and mimicking the user presence in the lab and during the experimental conduct. The above results provide welcoming perception on the impact of implementing remote labs as part of the continuous efforts to liberate the education platform and promote education without boundaries. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Application programs

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Interactive Web API Recommendation for Mashup Development based on Light Neural Graph Collaborative Filtering 26

Interactive Web API Recommendation for Mashup Development ba...

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26th International conference on computer Supported Cooperative Work in Design, CSCWD 2023

作者： Xiang, Jiayan Chen, Wanjun Wang, Yang Liang, Bowen Liu, Zihao Kang, Guosheng Hunan University of Science and Technology School of Computer Science and Engineering Xiangtan China Hnust Hunan Provincial Key Lab. for Services Computing and Novel Software Technology Xiangtan China

ISBN: (纸本)9798350331684

With the development of Mashup technique, the number of Web APIs released on the Web continues to grow year by year. However, it is a challenging issue to find and select the desirable Web APIs among the large amount of Web APIs. Consequently, interactive Web API recommendation is used to alleviate the difficulty of service selection, when users or developers try to invoke Web APIs for solving their business requirements or software development requirements. Currently, there are several collaborative filtering based approaches proposed for Web API recommendation, while their recommendation performance is limited on both optimality and scalability. This paper proposes a light neural graph collaborative filtering based Web API recommendation approach, named LNGCF. Specifically, LNGCF learns user and item embeddings by linearly propagating them on the user-item interaction graph, and uses the weighted summation of the embeddings learned at all layers as the final embedding. Such simple, linear, and neat model is much easier to implement and train. A set of experiments are conducted on a real-world dataset. Experimental results demonstrate the substantial improvements on both optimality and scalability over the baselines. © 2023 IEEE.

关键词： Collaborative filtering

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The Maintenance of Top Frameworks and Libraries Hosted on GitHub: An Empirical Study 34

The Maintenance of Top Frameworks and Libraries Hosted on Gi...

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34th International conference on software engineering and Knowledge engineering, SEKE 2022

作者： Huang, Yi Mao, Xinjun Zhang, Zhang National University of Defense Technology Changsha China

ISBN: (纸本)1891706543

The number of repositories on GitHub is huge and growing rapidly. However, most repositories are inactive, while active maintenance is essential in choosing a project. In this paper, we study the maintenance of top (i.e., most starred) frameworks and libraries hosted on GitHub, for they can be widely reused and in critical positions in the dependency network, so their maintenance status is significant. Furthermore, their maintenance practices may inspire other projects to thrive on the collaborative development platform. By investigating their adoption of recommended Open Source software (OSS) maintenance practices and recent maintenance activities, and the association between maintenance status and usage, we find that: (1) more than 20% of the top frameworks and libraries have no commit for more than one year;(2) Some maintenance practices (e.g., codes of conduct) have relatively low adoption rates, while continuous integration has a high adoption rate of around 80%;(3) the maintenance status may have an effect on the usage frequency. © 2022 Knowledge systems Institute Graduate School. All rights reserved.

关键词： computer software maintenance

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GaN HEMTs based Quad-Active-Bridge DC-DC Converter for PV-Battery-EV-Grid systems 50

GaN HEMTs based Quad-Active-Bridge DC-DC Converter for PV-Ba...

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50th Annual conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Gao, Xin Ilka, Reza Luckett, Benjamin He, JiangBiao Department of Electrical Engineering and Computer Science University of Tennessee KnoxvilleTN United States Department of Electrical and Computer Engineering University of Kentucky LexingtonKY United States

ISBN: (纸本)9781665464543

This paper aims to develop a flexible power management approach to interconnect multiple energy resources based on an isolated, monolithic multiport DC-DC power converter. Specifically, a high efficiency, ultra-compact Quad-Active-Bridge (QAB) DC-DC converter is proposed to interconnect photovoltaic (PV), battery energy storage (BES), electric vehicle (EV) charging/discharging, and a distribution grid. Fast-switching Gallium Nitride (GaN) high-electron-mobility transistors (HEMTs) are employed to achieve higher energy efficiency and power density. To meet the high voltage requirements on the DC grid port, a three-level active-neutral-point-clamped (ANPC) bridge based on 650V GaN HEMTs is developed. To provide galvanic isolation among different power ports, a high-frequency, multi-winding planar magnetic transformer is utilized to couple different power ports for flexible power management. The control and efficiency at four operating modes of the QAB converter are investigated for various weather conditions, and electro-thermal simulations for the QAB converter, including the planar transformer, are carried out in PLECS and Ansys software. Moreover, a 15-kW GaN HEMT based QAB DC-DC converter prototype is implemented for experimental verification. © 2024 IEEE.

关键词： Gallium nitride

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A Classification of software-Architectural Uncertainty Regarding Confidentiality 1

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18th International Joint conference on e-Business and Telecommunications, ICETE 2021

作者： Hahner, Sebastian Seifermann, Stephan Heinrich, Robert Reussner, Ralf Karlsruhe Germany

ISBN: (数字)9783031368400

ISBN: (纸本)9783031368394

In our connected world, ensuring and demonstrating the confidentiality of exchanged data becomes increasingly critical for software systems. However, especially in early system design, uncertainty exists about the software architecture itself and the software’s execution environment. This does not only impede early confidentiality analysis but can also cause data breaches due to the lack of awareness of the impact of uncertainty. Classifying uncertainty helps in understanding its impact and in choosing proper analysis and mitigation strategies. There already exist multiple taxonomies, e.g., from the domain of self-adaptive systems. However, they do not fit the abstraction of software architecture and do not focus on security-related quality properties like confidentiality. To address this, we present a classification of architectural uncertainty regarding confidentiality. It enables precise statements about uncertain influences and their impact on confidentiality. It raises awareness of uncertainty properties, enables knowledge transfer to non-experts, and serves as a baseline for discussion. Also, it can be directly integrated into existing notions of data flow diagrams for uncertainty-aware confidentiality analysis. We evaluate the structural suitability, applicability, and purpose of the classification based on a real-world case study and a user study. The results show increased significance compared to existing taxonomies and raised awareness of the impact of uncertainty on confidentiality. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： software architecture

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Research on Multi-Sensor Parameter Updating and Firmware Upgrading Method Based on Modbus

Research on Multi-Sensor Parameter Updating and Firmware Upg...

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Consumer Electronics and computer engineering (ICCECE), 2021 IEEE International conference on

作者： Kai Ding Chaoyue Jiang Ming Tao Renping Xie Jiaxue Li School of Computer Science and Technology Dongguan University of Technology Dongguan China Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ) Shenzhen China

ISBN: (数字)9798331533113

ISBN: (纸本)9798331533120

In industrial systems, sensors are used as key data acquisition devices. Optimizing their performance and functionality is essential for ensuring stable operation and improving system productivity. In order to realize function expansion, performance optimization and security guarantee, parameter updates, and firmware upgrades are indispensable operations. However, traditional methods for parameter updates and firmware upgrades typically rely on manual operations, which has many drawbacks such as low efficiency, high maintenance cost, and a significant risk of errors. These limitations make it difficult to meet the demands for high efficiency and intelligent equipment management in modern industrial systems. We propose a solution for parameter updating and firmware upgrading based on Modbus protocol, designing and realizing related hardware and Supervisory Control software systems. The system communicates with the Supervisory Control software through the LoRa module, utilizing the reliability and standardization characteristics of the Modbus protocol to improve the efficiency of parameter updates and firmware upgrades effectively. The research in this paper provides an efficient and reliable realization path for the intelligent management of sensors in industrial systems and provides an important reference for research and application in related fields.

关键词： Protocols Supervisory control software Hardware Sensor systems software reliability Maintenance Intelligent sensors Thermal stability Microprogramming

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24th International conference on Web engineering, ICWE 2024

24th International Conference on Web Engineering, ICWE 2024

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24th International conference on Web engineering, ICWE 2024

ISBN: (纸本)9783031623615

The proceedings contain 46 papers. The special focus in this conference is on Web engineering. The topics include: Inclusive Counterfactual Generation: Leveraging LLMs in Identifying Online Hate;decentralized Search over Personal Online Datastores: Architecture and Performance Evaluation;tag-Aware Recommendation Based on Attention Mechanism and Disentangled Graph Neural Network;autoMaster: Differentiable Graph Neural Network Architecture Search for Collaborative Filtering Recommendation;a Multi-model Recurrent Knowledge Graph Embedding for Contextual Recommendations;Data Augmentation Using BERT-Based Models for Aspect-Based Sentiment Analysis;Streamlining Vocabulary Conversion to SKOS: A YAML-Based Approach to Facilitate Participation in the Semantic Web;the Open V2X Management Platform;DyST: Dynamic Specification Mining for Heterogenous IoT systems with WoT;SeamlessMDD: Framework for Seamless Integration of Generated and Hand-Written Code;EdgER: Entity Resolution at the Edge for Next Generation Web systems;AuthApp – Portable, Reusable Solid App for GDPR-Compliant Access Granting;Hook-in Privacy Techniques for gRPC-Based Microservice Communication;trusting Decentralized Web Data in a Solid-Based Social Network;combining Anti-typosquatting Techniques;the Programmable World and Its Emerging Privacy Nightmare;weakly-Supervised Left-Center-Right Context-Aware Aspect Category and Sentiment Classification;subjectivity, Polarity and the Aspect of Time in the Evolution of Crowd-Sourced Biographies;investigating the Usefulness of Product Reviews Through Bipolar Argumentation Frameworks;interaction Design Patterns of Web Chatbots;estimating Diffusion Degree on Graph Stream Generated from Social and Web Networks;task Manager of Quantum Web Services Through a Load Balancing Solution;How Many Web APIs Evolve Following Semantic Versioning?;GitHub-Sourced Web API Evolution: A Large-Scale OpenAPI Dataset;matchCom: Stable Matching-Based software Services Composition in Cloud Computi

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The Method for Improving the High-Speed of Classical and High-Temperature Operational Amplifiers with Current Negative Feedback

The Method for Improving the High-Speed of Classical and Hig...

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2024 Wave Electronics and its Application in Information and Telecommunication systems, WECONF 2024

作者： Zhuk, A.A. Sergeenko, M.A. Makarenko, E.N. Prokopenko, N.N. Don State Technical University Department Of Scientific Research Department Of Information Systems And Radio Engineering Rostov-on-Don Russia Don State Technical University Department Of Information Systems And Radio Engineering Rostov-on-Don Russia

ISBN: (纸本)9798350364989

The paper considers a circuit technique to improve the high-speed of classical CBJT operational amplifiers (Op-Amps) with current negative feedback, the input stage of which is realized on the basis of the so-called 'diamond' compound transistor and its modifications. It is shown that the reason for the relatively low values of the slew rate (SR) Op-Amps of this class, which are mass-produced by many microelectronic companies on micron technologies, is the presence of parasitic capacitances in the emitter circuits of the input transistors. To increase SR by 1-2 orders of magnitude (from 82 V/µs to 5000 V/µs) (when working of input transistors with emitter currents of the order of 100 µA), the introduction of a differentiating transients correction circuit into the classical Op-Amp circuit is recommended. This provides a significant improvement in SR without increasing the static current-consumption of the Op-Amp input stage. The results of computer simulating of CBJT Op-Amp in LTspice simulation software for micron process technology are presented. The considered circuitry is recommended for application in the structure of high-temperature analogue microcircuits based on wide-bandgap semiconductors (SiC, GaN, GaAs). © 2024 IEEE.

关键词： III-V semiconductors

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