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State Monitoring Method of Optical Cable Combined with Computer Multi-Information Sensing Fusion technology 3

State Monitoring Method of Optical Cable Combined with Compu...

引用

3rd international conference on Electronic Informationtechnology and Smart Agriculture, ICEITSA 2023

作者： Chen, Yilong Zhu, Jingkai Gan, Zhong Feng, Chen State Grid Shanghai Municipal Electric Power Company Shanghai China

ISBN: (纸本)9798400716775

In order to improve the real-time monitoring effect of optical cable state, this paper combines computer multi-information sensing fusion technology to monitor optical cable state in real time, and develops a technology based on computing network convergence, which integrates communication network facilities with heterogeneous computing facilities, and uniformly arranges and controls various resources such as data, calculation and network, so as to improve the speed and efficiency of information dissemination. Under the control of computer program, the optical cable monitoring system can automatically realize the roll call test, periodic test and alarm test of optical cable. Moreover, it can compare the results with standard data in the optical cable characteristic library to find the occurrence of faults and the location of fault points. In order to verify the effectiveness of emerging technologies based on computing network convergence in solving information technology problems, simulation methods and experimental design are used to verify and evaluate. Through the analysis of the experimental results, we can see that the method proposed in this paper has some advantages compared with the traditional optical cable state monitoring methods. © 2023 ACM.

关键词： Optical fibers

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PentraFormer: Learning Agents for Automated Penetration Testing via Sequence Modeling 17

PentraFormer: Learning Agents for Automated Penetration Test...

引用

IEEE Congress on Cybermatics: 17th IEEE international conference on Internet of Things, iThings 2024, 20th IEEE international conference on Green computing and Communications, GreenCom 2024, 17th IEEE international conference on Cyber, Physical and Social computing, CPSCom 2024, 10th IEEE international conference on Smart Data, SmartData 2024

作者： Wang, Yunfei Liu, Shixuan Wang, Wenhao Zhu, Cheng Fan, Changjun Huang, Kuihua Chen, Chao National University of Defense Technology National Key Laboratory of Information Systems Engineering Changsha China National University of Defense Technology Laboratory for Big Data and Decision Changsha China National University of Defense Technology Changsha China

ISBN: (纸本)9798350351637

The exponential growth of computer networks has intensified the requirement for robust security measures, rendering penetration testing - an essential practice that assesses vulnerabilities by simulating attacks - critically important. Automated penetration testing (APT) has evolved from rule-based approaches to intelligent decision-making, such as reinforcement learning (RL), better emulating the adaptability and decision-making process of human penetration testers. However, using RL for APT is challenged by the high cost of real-network interactions, the scarcity of security datasets, and the unique complexities of APT scenarios, which include long decision sequences and delayed rewards, complicating RL efficacy and convergence. Inspired by the Decision Transformer's proficiency in predicting action sequences for offline RL, coupled with its effectiveness in dealing with data efficiency and adaptability, we introduce a novel sequence-based methodology for designing APT agents. This approach is tailored to effectively manage the intricate aspects of data-scarce and complex APT scenarios. Our proposed model, PentraFormer, adeptly addresses these challenges prevalent in APT scenarios. The robustness of our model is attested to through extensive empirical evaluations conducted on APT-dedicated tasks. © 2024 IEEE.

关键词： Adversarial machine learning

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Unveiling Hidden Patterns: Clustering Algorithms on C Code embedding 9

Unveiling Hidden Patterns: Clustering Algorithms on C Code e...

引用

9th IEEE international conference for convergence in technology, I2CT 2024

作者： Spoorthi, M. Savant, Richa Vivek Seshadri, Samarth Narmada, Nakka Pati, Peeta Basa Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science And Engineering Bengaluru India

ISBN: (纸本)9798350394474

Automatic grading can help streamline assessment by using advanced algorithms to evaluate embedded C programs swiftly and objectively. This technology ensures standardized evaluations, providing quick and objective feedback on programming proficiency, enabling educators and employers to gauge participants' skills accurately. This paper proposes leveraging the application of machine learning clustering methods on embedding of C programs that have been examined by subject matter experts (SMEs) to uncover hidden patterns in the input vectors. A variety of clustering techniques are applied at the score level to capture the patterns in the data and analyze if they lie at par with the SMEs' evaluations. Machine learning models can at best capture clusters at the questions level, i.e., it can capture similarities amongst text, but cannot comprehend the logic behind it and classify the types of errors in code solutions. K-means clustering proves to provide the best compact clusters at a question level of the chosen dataset with biased data distribution in the markings. © 2024 IEEE.

关键词： Embeddings

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An Initialization Method of Genetic Algorithm for Robot Path Planning Based on Directed Acyclic Graph and Effective Obstacles* 25

An Initialization Method of Genetic Algorithm for Robot Path...

引用

25th IEEE international conference on Industrial technology, ICIT 2024

作者： Li, Yanjie Liu, Xiongding Wei, Wu School Of Automation Jiangsu University Of Science And Technology Zhenjiang China School Of Automation Science And Engineering South China University Of Technology Guangzhou China

ISBN: (纸本)9798350340266

Genetic algorithm (GA) has received widespread attention in robot path planning with its advantages of parallel computing. The quality of the initial population is a key factor in improving the efficiency of GA, so related research is required. This paper proposes a novel initialization method, which is characterized by two directed acyclic graphs (DAGs) and effective obstacles. Each DAG generates half of the initial population. Besides, an improved GA is proposed, combining the initialization method with existing excellent operators. To verify the performance of the proposed methods, two kinds of simulation experiments are carried out. One is to compare the proposed initialization method with the other three initialization methods, and the other is to compare the proposed GA with four other state-of-the-art improved GAs. Simulation results verify that the proposed methods outperform the other methods, not only in terms of convergence rate and optimal path length at convergence but also in the quality of the initial population. © 2024 IEEE.

关键词： Genetic algorithms

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Research on Quantitative Evaluation technology for Intelligent Cabin 3

Research on Quantitative Evaluation Technology for Intellige...

引用

3rd international conference on Intelligent computing, Communication and convergence, ICI3C 2023

作者： Zhou, Sheng Zhou, Wei Geng, Xin Liu, Lu Dong, Xuan Research Institute of Highway Ministry of Transport Ministry of Transport Beijing China Key Laboratory of Operation Safety Technology on Transport Vehicles Ministry of Transport PRC No. 8 Xitucheng Road Beijing Haidian District100088 China

ISBN: (纸本)9798350343922

In recent years, the development of intelligent cabins has been rapid, but testing and evaluation usually involves detecting a single component, lacking a quantitative evaluation method for the overall performance of intelligent cabins. To address this issue, firstly, study the visual interaction elements inside the cabin and summarize the visual interaction testing methods;Then, research auditory interaction testing methods and establish a noise library to achieve reproducible experiments on common external environments;Finally, establish a multi-dimensional comprehensive evaluation method for the intelligent cabin to achieve a comprehensive evaluation of the overall performance of the intelligent cabin. © 2023 IEEE.

关键词： Audition

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Revolutionizing Military Training: A Comprehensive Review of Tactical and Technical Training through Augmented Reality, Virtual Reality, and Haptics 9

Revolutionizing Military Training: A Comprehensive Review of...

引用

9th IEEE international conference for convergence in technology, I2CT 2024

作者： Tanwar, Vishesh Anand, Vatsala Aggarwal, Priyanshi Kumar, Mukesh Kumar, Gotte Ranjith Chitkara University Institute of Engineering & Technology Chitkara University Punjab India Graphic Era Hill University Computer Science And Engineering Uttarakhand Dehradun248002 India Sr University School of Computer Science & Artificial Intelligence Warangal India

ISBN: (纸本)9798350394474

With technologies such as robots, artificial intelligence, the Internet of Things, and quantum computing being developed to attain digital superiority, modern military applications have the potential to fundamentally alter defense operations and tactics. The two technologies that have the potential to transform combat are augmented reality (AR) and virtual reality (VR). Large-scale simulation environments for the military and paramilitary sectors might be produced using AR and VR, changing everything from soldier training to the creation of fresh warfighting tactics. Tactical augmented reality, digital twins, weapons aiming, spatial orientation, situational awareness, and combat simulations are among the applications of AR that work well. According to Goldman Sachs, by 2025 the AR/VR sector will bring in US $1.4 billion in income from the military alone. © 2024 IEEE.

关键词： Augmented reality

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Elucidating the role of Device architecture for Mott-insulator based Memory technology 9

Elucidating the role of Device architecture for Mott-insulat...

引用

9th IEEE international conference for convergence in technology, I2CT 2024

作者： Maramreddy, Sainath Reddy Arige, Sumanth Dixit, Tejendra Iiitdm Kancheepuram Department of Ece Chennai600127 India

ISBN: (纸本)9798350394474

Emerging memory technologies are driven by the escalating demand for advanced, high-performance, and energy-efficient memory solutions. Traditional technologies, while effective, face challenges in meeting the demands of modern computing and data storage applications. As the demand for enhanced data retrieval speed, reduced energy consumption, and greater scalability grows, emerging memory technologies like Magnetic Random-Access Memory (MRAM), Resistive Random-Access Memory (ReRAM), and Phase-Change Random Access Memory (PCRAM) are becoming increasingly prominent. ReRAM, distinguished by its unique resistive switching mechanism, facilitates reversible transitions between high and low-resistance states, providing a foundation for efficient data storage. A noteworthy aspect of ReRAM is the utilization of Mott insulators, such as VO2 and V2O3, known for their remarkable insulator-to-metal transition (IMT) capabilities. This unique property allows ReRAM to achieve precise and energy-efficient control over resistance states, contributing to its allure as a promising alternative in the ever-evolving landscape of memory technologies. © 2024 IEEE.

关键词： Mott insulators

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Rail Camera: An Edge Resource Management for Smart Farm Application 14

Rail Camera: An Edge Resource Management for Smart Farm Appl...

引用

14th international conference on Information and Communication technology convergence, ICTC 2023

作者： Kum, Seungwoo Moon, Jaewon Kim, Youngkee Carvajal, Alejandro Barrera Oh, Seungtaek Perez, Francisco Andres Korea Electronics Technology Institute Information and Media Research Center Seongnam Korea Republic of Ct Engineering Group Madrid Spain

ISBN: (纸本)9798350313277

Edge computing is one of the most important technology for the industry to realize analysis with deep learning technology. The edge computing architecture provides many benefits over cloud computing, since it reduces cloud communication requirements by processing data in itself. Among many industries for edge computing applications, smart agriculture is a promising one since it needs to handle various kinds of data such as ones from sensors and/or video streams. However, applying edge computing has been remaining a challenging task since it has different environment than other industries. It has less computational resources in the field and it should be able to deal with the target crop change. In this paper, an edge management platform with a rail camera for a smart farm is presented. First, A rail camera is implemented as an edge device which has accelerator resource where the deep learning application container can be deployed. The edge resource is federated with other cloud resources. And then, software for the edge management are presented - the Container Deployment Service and AI Model Repository, for container deployment and model deployment management, respectively. © 2023 IEEE.

关键词： cloud to edge deep learning inference edge computing inference architecture smart farm

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Decentralized Face Recognition Surveillance System Leveraging the convergence of IoT, Cloud computing, and Blockchain 14

Decentralized Face Recognition Surveillance System Leveragin...

引用

14th international conference on Advances in computing, Control, and Telecommunication Technologies, ACT 2023

作者： Sarapu, Sharat Chandra Manchi Hegde, Nagaratna Parameshwar Vikkurty, Sireesha Mubeen, Sameeha Department of Computer Science and Engineering Vasavi College of Engineering Hyderabad India

The traditional CCTV security systems are very vulnerable as they are centralized and any damage done to the central server results in alteration of the evidence entirely. Moreover, there is space for innovation in the way surveillance is being done, as advancements in Face Recognition Algorithms can be adopted. On the other hand, blockchain technology has been mushrooming for the past years as it provides unmatched trust, transparency, and immutability. This convergence will enhance the entire surveillance system by putting the hashes of every detected face in the blockchain network. This provides unalterable evidence to the whole population of the smart communities. Additionally, these IoT devices increase security by creating redundancy using various cloud services and adopting a serverless architecture to back up the hashes provided by the IPFS in the cloud databases. © Grenze Scientific Society, 2023.

关键词： Cloud computing

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SoK: Autonomic computing Based Mehods for ICS/SCADA and IIoT Security

SoK: Autonomic Computing Based Mehods for ICS/SCADA and IIoT...

引用

2024 IEEE international conference on Cyber Security and Resilience, CSR 2024

作者： Rouff, Christopher Tekeoglu, Ali Johns Hopkins University Applied Physics Laboratory & Jhu Whiting School of Engineering United States Leidos Innovations Center United States Johns Hopkins University Whiting School of Engineering United States

ISBN: (纸本)9798350375367

Industrial Control Systems (ICS) stand out as a prime target for global attackers due to their critical role in many nation's infrastructure. The autonomy and proactive nature of autonomic systems make them inherently preventive, acting as a barrier against potential threats. Autonomic computing (AC) as a term was coined in the early 2000s, inspired by the human nervous system, which aims to keep the growing complexity of managing Information technology (IT) assets under control by designing systems to be less human dependent. Traditionally, Operational technology (OT) has been isolated and self-contained, however the last decade has witnessed the convergence of IT and OT networks. Operational technology networks and assets have different requirements and priorities in terms of safety and security. Application of Autonomic computing to OT/ICS systems has not been explored in detail in the literature. This Systematization of Knowledge (SoK) survey provides insight into this specific field, identifies and discusses previous work, and discusses potential future research opportunities on how Autonomic computing methods could be applied to secure ICS/SCADA networks. © 2024 IEEE.

关键词： Cyber Physical System

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