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检索条件"任意字段=Israel Conference on Computer Systems and Software Engineering"

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Conceptual Design of a Low Cost Underwater Glider for Educational Purpose 2nd

Conceptual Design of a Low Cost Underwater Glider for Educat...

引用

2nd International conference on Mechanical engineering, INCOM 2024

作者： Dhulekar, A.M. Sharma, F. Dixit, U.S. Indian Institute of Technology Guwahati Technology Innovation and Development Foundation Guwahati India Centre for Indian Knowledge Systems Indian Institute of Technology Guwahati Guwahati India Department of Mechanical Engineering Indian Institute of Technology Guwahati Guwahati India

ISBN: (纸本)9789819772957

An underwater glider is a special type of remotely operated underwater vehicle employed for research and monitoring the underwater environment. This article presents the design and fabrication of an underwater glider specifically for educational purposes. The three-dimensional model of the glider is developed using computer Aided Design (CAD) software. Important parameters, viz., buoyancy control system, rolling mechanism, electronics and control system and wing design are described. The buoyancy mechanism used for the propulsion differentiates a glider from other underwater vehicles. The design parameters, specifications and dimensions of the fabricated glider are highlighted. The design incorporates a unique feature, viz., a movable ballast tank for adjusting both buoyancy and altitude. To achieve a lightweight structure, 3D printing technology employing plastic raw material was utilized. Computational analysis of the CAD model of the glider was carried out to investigate the variation of hydrodynamic parameters. The educational significance of this work lies in its potential to enhance the educators’ and students’ understanding of remotely operated underwater vehicles as well as nurturing hands-on learning experiences. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Buoyancy

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Three Ways to Integrate Microservices Into MARL

Three Ways to Integrate Microservices Into MARL

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International Youth conference on Radio Electronics, Electrical and Power engineering (REEPE)

作者： Egor F. Morgunov Department of Informatics and Control Systems Bauman Moscow State Technical University Moscow Russian Federation

ISBN: (数字)9798331531836

ISBN: (纸本)9798331531843

Microservice architecture is a key component of modern distributed software systems, providing scalability and independent deployment of individual components. However, many different factors, such as the dynamic variability of modern Internet services and the evolution of user requests, can offset the advantages of microservices. Machine learning algorithms, in particular deep reinforcement learning, are an effective way to optimize distributed software systems, allowing adaptive management of system resources in non-stationary environments. This paper discusses the integration of multi-agent reinforcement learning into a micro service architecture. The paper demonstrates the results of training intelligent agents in the road selection service based on the current weather condition. Three methods of integrating deep Q-Iearning into the microservice architecture were developed, and three classical algorithms of deep reinforcement learning were used to evaluate the effectiveness of the methods.

关键词： Training Scalability Roads Neural networks Web and internet services Microservice architectures computer architecture software systems Deep reinforcement learning Resource management

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Towards Trustworthy Aircraft Safety: Explainable AI for Accurate Incident and Accident Predictions 20th

Towards Trustworthy Aircraft Safety: Explainable AI for Accu...

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20th International conference on the Economics of Grids, Clouds, systems, and Services, GECON 2024

作者： Amin, Maryam Noor, Umara Fatima, Manahil Rashid, Zahid Altmann, Jörn Department of Software Engineering Faculty of Computing and Information Technology International Islamic University Islamabad44000 Pakistan Technology Management Economics and Policy Program College of Engineering Seoul National University Seoul Korea Republic of College of Engineering Seoul National University Seoul Korea Republic of Integrated Major in Smart City Global Convergence Seoul National University Seoul Korea Republic of

ISBN: (纸本)9783031812255

Despite technological advancements, ensuring aircraft safety remains a challenge, however, Machine learning (ML)-based approaches for predicting future incidents play a crucial role in addressing flight safety. As ML models increase in complexity, their decision-making process becomes less transparent, posing significant challenges to trustworthiness. While simpler models demonstrate lower accuracy, more intricate models such as deep neural networks achieve higher accuracy but sacrifice interpretability. In this study, we enhance trustworthiness in aircraft safety prediction by leveraging a dataset of past accidents and incidents to prevent similar accidents from occurring in the future. To achieve this, we apply Random Forest and Extreme Gradient Boosting models to classify different categories of aircraft incidents. Additionally, we apply two powerful explainable artificial intelligence (XAI) techniques: Local Interpretable Model-Agnostic Explanations (LIME) and Shapley Additive exPlanations (SHAP) to provide insights into both local and global predictions made by the models. Notably, our results reveal high accuracy in these predictions while maintaining trustworthiness. This research contributes to the advancement of XAI and offers valuable insights for safety-critical applications and decision support systems. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Aircraft accidents

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Security Function for 5G-Advanced and 6G: Malicious UE Detection in Network Slicing 25th

Security Function for 5G-Advanced and 6G: Malicious UE Det...

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25th International conference on Information Security Applications, WISA 2024

作者： Park, Jaehyoung Kim, Jihye Lee, Jong-Hyouk Department of Computer and Information Security and Convergence Engineering for Intelligent Drone Sejong University Seoul05006 Korea Republic of Department of Computer and Information Security Sejong University Seoul05006 Korea Republic of

ISBN: (纸本)9789819616237

Starting with software Defined Networking (SDN) and Network Functions Virtualization (NFV) technologies, network slicing is emerging as a critical technology in 5G-Advanced and 6G mobile communications to allocate logical networks end-to-end, meeting diverse service requirements. However, the advent of network slicing introduces new security threats, including inter-slice security, intra-slice security, and lifecycle security of network slicing. While recent research has focused on security orchestration technologies using SDN/NFV for network slicing and AI-based attack detection, there remains a gap in research on security by design within the components of 3GPP 5G systems. Therefore, this paper investigates security by design in the 5G-Advanced and 6G architectures. To address these issues, we propose a malicious User Equipment (UE) detection function to identify attacks within the network-slicing environment. We illustrate the interaction between the detection function and other 3GPP 5G system components for network slicing security with its algorithm for detecting malicious UEs in network slices. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Malicious UE Network Slicing Security by Design

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Hybrid Approach to Decision Support in Ensuring software Code Security

Hybrid Approach to Decision Support in Ensuring Software Cod...

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International Youth conference on Radio Electronics, Electrical and Power engineering (REEPE)

作者： Zuev I. A. Sakulin S. A. Shmakova A. V. Department of Computer Science and Control Systems Bauman Moscow State Technical University Moscow Russian Federation

ISBN: (数字)9798331531836

ISBN: (纸本)9798331531843

In the context of the growing use of software, code security is of particular importance for preventing data leakages, financial losses and threats to national security. This paper proposes a hybrid approach to decision support for ensuring code security based on a combination of the results of static and dynamic code analysis. Static and dynamic analysis together allow identifying and eliminating vulnerabilities at various stages of the software development life cycle. The proposed approach is implemented as a decision support system for ensuring the software code security. During the experiment conducted on the implemented system, it was found that the use of the decision support module allows more efficient analysis of data on identified vulnerabilities. The system visualizes the results in graphical form, which facilitates the decision-making process for the user. In the presence of large data volumes and complex calculations, the human factor can lead to errors, which makes automation of the analysis process especially important. The results of the experiment confirm that the proposed approach not only improves the analysis quality, but also contributes to a more reliable software development process, given the constantly changing threat landscape.

关键词： Decision support systems Power engineering Codes Static analysis Reliability engineering software software reliability Security Risk management software development management

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Real-Time Freeway Traffic Anomalous Event Detection System via Radar Detector Sensors 25

Real-Time Freeway Traffic Anomalous Event Detection System v...

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Proceedings of the ACM/IEEE 16th International conference on Cyber-Physical systems (with CPS-IoT Week 2025)

作者： Austin Coursey Junyi Ji Zhiyao Zhang William Barbour Marcos Quinones-Grueiro Tyler Derr Gautam Biswas Daniel B. Work Institute for Software Integrated Systems Vanderbilt University Nashville TN USA and Department of Computer Science Vanderbilt University Nashville TN USA Institute for Software Integrated Systems Vanderbilt University Nashville TN USA and Department of Civil and Environmental Engineering Vanderbilt University Nashville TN USA Institute for Software Integrated Systems Vanderbilt University Nashville TN USA Department of Computer Science Vanderbilt University Nashville TN USA Institute for Software Integrated Systems Vanderbilt University Nashville TN USA Department of Computer Science Vanderbilt University Nashville TN USA and Department of Civil and Environmental Engineering Vanderbilt University Nashville TN USA

ISBN: (纸本)9798400714986

Undetected anomalous incidents on the freeway, such as crashes, can cause increased congestion and secondary crashes. To address this problem, we recently released a real freeway traffic anomalous event detection dataset. However, our evaluation was limited to a static week of traffic data. This demo presents a live anomaly detection dashboard, processing sensor data with a 1-minute delay. It has interactive components to adjust the anomaly detection performance, providing a realistic evaluation of graph anomaly detection methods for long-term analysis and method improvements.

关键词： anomaly detection

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Address Resolution Protocol Spoofing Mitigation in software-Defined Networks using Ryu Controller's Centralized Flow Control

Address Resolution Protocol Spoofing Mitigation in Software-...

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Advancement in Computation & computer Technologies (InCACCT), International conference on

作者： Sendil Vadivu D Narendran Rajagopalan Department of Computer Science and Engineering National Institute of Technology Puducherry Karaikal India

ISBN: (数字)9798331543891

ISBN: (纸本)9798331543907

Address Resolution Protocol (ARP) spoofing is a severe threat in software-Defined Networking (SDN) systems, allowing attackers to modify network traffic via Man-in-the-Middle (MITM) attacks. This study presents an effective proactive ARP spoofing defense that uses SDN's centralized control and programmability features. The system continually analyzes ARP packets, keeps an accurate logical and physical address mapping, and dynamically adds flow restrictions to prevent malicious hosts from imitating legitimate devices. The proposed system identifies and prevents single and multiple source ARP spoofing attacks in real-time at O(1) processing cost, resulting in low network overhead. The experiment conducted on an SDN-simulated environment proved that the Ryu controller can mitigate ARP spoofing attempts while preserving legitimate network activities. Furthermore, the proposed technique can scale in terms of network capacity and traffic volume. The proposed automated and scalable ARP spoofing approach enhances SDN cybersecurity.

关键词： Protocols Costs Accuracy Flow production systems Prevention and mitigation Telecommunication traffic Real-time systems software defined networking computer security Centralized control

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Personalized Book Recommendation Engine with Emotional Understanding and Contextual Relevance Based on Hybrid Filtering - A Novel Method Providing Recommendation Explanation

Personalized Book Recommendation Engine with Emotional Under...

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software engineering and computer Science (CSECS), International conference on

作者： Perera U. L. U.S. L H.M.Samadhi Chathuranga Thusithanjana Thilakarathna Faculty of Computing Sri Lanka Institute of Information and Technology Malabe Sri lanka

ISBN: (数字)9798331522216

ISBN: (纸本)9798331522223

This paper introduces a novel personalized book recommendation system that integrates emotional understanding and contextual relevance to enhance the accuracy and personalization of suggestions. The system employs a hybrid filtering method, combining content-based and collaborative filtering, to address the limitations of traditional recommendation systems. By incorporating Explainable AI (XAI), the system provides transparent justifications for each recommendation, enhancing user trust and engagement. Additionally, sentiment analysis and contextual factors, such as weather, time of day, and the user's emotional state, are considered to ensure that the recommended books align with the user's current circumstances. Our findings show that the integration of Explainable AI significantly improved user satisfaction and engagement. Testing with 100 participants resulted in a high level of satisfaction, with 55% reporting that they found the recommendations more trustworthy due to explanations. The system makes a significant contribution to improving emotional well-being by providing personalized recommendations.

关键词： Sentiment analysis Accuracy Filtering Explainable AI Collaborative filtering Recommender systems Testing Meteorology Videos software engineering

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PTSA: Utilizing Transaction Prioritization to Enhance Confirmation Speed in the IOTA Network

PTSA: Utilizing Transaction Prioritization to Enhance Confir...

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International CSI computer conference, CSICC

作者： Seyyed Ali Aghamiri Reza Sharifnia Ahmad Khonsari School of Electrical and Computer Engineering College of Engineering University of Tehran Iran School of Computer Science Institute for Research in Fundamental Sciences(IPM)

ISBN: (数字)9798331523114

ISBN: (纸本)9798331523121

With the rapid advancement of blockchain technology, a significant trend is the adoption of Directed Acyclic Graphs (DAGs) as an alternative to traditional chain-based architectures for organizing ledger records. systems like IOTA, which are specially designed for the Internet of Things (Io'T), leverage DAG-based architectures to achieve greater scalability by enabling multiple attachment points in the ledger for new transactions while allowing these transactions to be added to the network without incurring any fees. To determine these attachment points, many tip selection algorithms commonly employ specific strategies on the DAG ledger. Transaction prioritization is not considered in the IOTA network, which becomes especially important when network bandwidth is limited. In this paper, we propose an optimization framework designed to integrate a priority level for critical or high-priority IoT transactions within the IOTA network. We evaluate our system using fully based on the official IOTA GitHub repository, which employs the currently operational IOTA node software (Hornet version), as part of the Chrysalis update (1.5). The experimental results show that higher-priority transactions in the proposed algorithm reach final confirmation in less time compared to the original IOTA system.

关键词： Directed acyclic graph Scalability software algorithms computer architecture Throughput Market research software Blockchains Optimization software development management

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Emotionally Challenging Games Can Satisfy Older Adults' Psychological Needs: From Empirical Study to Design Guidelines 25

Emotionally Challenging Games Can Satisfy Older Adults' Psyc...

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Proceedings of the 2025 CHI conference on Human Factors in Computing systems

作者： Min Zhou Xiaolan Peng Binjie Liu Alena Denisova Soumya C. Barathi Zhuying Li Xurong Xie Jin Huang Feng Tian Institute of Software Chinese Academy of Sciences Beijing China Institute of software Chinese Academy of Sciences Beijing China Department of Computer Science University of York York United Kingdom School of Computer Science and Informatics Cardiff University Cardiff United Kingdom School of Computer Science and Engineering Southeast University Nanjing China Institue of Software Chinese Academy of Sciences Beijing China Institute of Software Institue of Software Chinese Academy of Sciences Beijing China

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