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共 23674 条记录，以下是4871-4880 订阅

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7th Workshop on the Security of Industrial control Systems and of Cyber-Physical Systems, CyberICPS 2021

7th Workshop on the Security of Industrial Control Systems a...

引用

7th Workshop on the Security of Industrial control Systems and of Cyber-Physical Systems, CyberICPS 2021, 5th international Workshop on Security and Privacy Requirements Engineering, SECPRE 2021, 4th international Workshop on Attacks and Defenses for Internet-of-Things, ADIoT 2021, 3rd Workshop on Security, Privacy, Organizations, and Systems Engineering, SPOSE 2021, 2nd Cyber-Physical Security for Critical Infrastructures Protection, CPS4CIP 2021 and 1st international Workshop on Cyber Defence Technologies and Secure communications at the Network Edge, CDT and SECOMANE 2021 held in conjunction with 26th European Symposium on Research in computer Security, ESORICS 2021

ISBN: (纸本)9783030954833

The proceedings contain 32 papers. The special focus in this conference is on Security of Industrial control Systems and of Cyber-Physical Systems. The topics include: Privacy and Informational Self-determination Through Informed Consent: The Way Forward;building a Privacy Testbed: Use Cases and Design Considerations;assessing Vulnerabilities and IoT-Enabled Attacks on Smart Lighting Systems;TAESim: A Testbed for IoT Security Analysis of Trigger-Action Environment;adversarial Command Detection Using Parallel Speech Recognition Systems;security Measuring System for IoT Devices;Battery Depletion Attacks on NB-IoT Devices Using Interference;security- and Privacy-Aware IoT Application Placement and User Assignment;room Identification with Personal Voice Assistants (Extended Abstract);a Cybersecurity Ontology to Support Risk Information Gathering in Cyber-Physical Systems;Why IT Security Needs Therapy;transferring Update Behavior from Smartphones to Smart Consumer Devices;organisational Contexts of Energy Cybersecurity;SMILE - Smart eMaIl Link Domain Extractor;a Semantic Model for Embracing Privacy as Contextual Integrity in the Internet of Things (Short Paper);data Protection Impact Assessments in Practice: Experiences from Case Studies;resilience Quantification for Critical Infrastructure: Exemplified for Airport Operations;severity Level Assessment from Semantically Fused Video Content Analysis for Physical Threat Detection in Ground Segments of Space Systems;Diminisher: A Linux Kernel Based Countermeasure for TAA Vulnerability;The Rise of ICS Malware: A Comparative Analysis;GLASS: Towards Secure and Decentralized eGovernance Services Using IPFS;framework Proposal to Measure the Stress as Adversarial Factor on Cyber Decision Making;measuring the Impact of Tactical Denial of Sustainability;A Mathematical Framework for Evaluation of SOAR Tools with Limited Survey Data;integrated Design Framework for Facilitating Systems-Theoretic Process Analysis;attack Path Analysis an

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An Efficient Energy Efficiency Power Allocation Algorithm for Space-Terrestrial Satellite NOMA Networks 2nd

An Efficient Energy Efficiency Power Allocation Algorithm fo...

引用

2nd EAI international conference on Artificial Intelligence for communications and Networks, AICON 2020

作者： Wu, Yanan Wang, Lina School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China Shunde Graduate School University of Science and Technology Beijing Foshan China

ISBN: (纸本)9783030690656

Due to the shortage of spectrum resources, Non-orthogonal multiple access (NOMA) has been considered as a forward-looking technology to enhance the performance for space-terrestrial satellite networks. In this paper, the power allocation algorithm is proposed on account of Stackelberg game to apply in the space-terrestrial satellite NOMA networks. The terrestrial base stations (BSs) and satellites are leaders and followers, respectively. The alternative direction method of multipliers (ADMM) algorithm is applied in BSs layer and satellites layer to acquire optimal power allocation scheme. The results indicate that the system energy efficiency has great promotion by the proposed algorithm. © 2021, ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Energy efficiency

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An Alternative Curriculum Learning Approach with Macro Actions for Deep Reinforcement Learning 3

An Alternative Curriculum Learning Approach with Macro Actio...

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3rd international conference on Electronics, communications and Information technology, CECIT 2022

作者： Song, Jiakai Ji, Jianmin University of Science and Technology of China School of Computer Science and Technology Hefei China

ISBN: (纸本)9798350331974

It is challenging to train deep reinforcement learning (DRL) agents for tasks with sparse rewards, especially for those that require combining discrete actions with flexible control, e.g., the scoring task for robots in RoboCup soccer. Curriculum learning has been considered as a useful tool for DRL to accelerate the learning process by splitting the task into a sequence of progressively more difficult subtasks. In this paper, we propose an alternative curriculum learning approach that firstly makes the task easier by introducing macro actions, i.e., predefined procedures of actions for solving several subtasks. Once a DRL agent has been well trained for the easier task, the approach will disable one of the macro actions and continuously train the DRL agent for the refined task. The approach continues the process until all macro actions were disabled and a DRL agent were trained for the original task. Experiments on the Half Field Offense (HFO) platform for simulated RoboCup soccer show that the approach is effective and able to learn robust policies for challenging tasks, like HFO 2v2, which has not been reported to be solved by DRL as far as the knowledge of the authors. A demonstration video is available online at https://***/e6kunbAhhaY. © 2022 IEEE.

关键词： Curricula

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Simulation of Formation control for AUVs with Reinforcement Learning Toolbox 2

Simulation of Formation Control for AUVs with Reinforcement ...

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2021 2nd international conference on Machine Learning and computer Application, ICMLCA 2021

作者： Guo, Xiaomin Li, Xiaowen Wang, Bing Gao, Hongwei Li, Yan School of Automation and Electrical Engineering Shenyang Ligong University Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China College of Information Liaoning University Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China School of Automation and Electrical Engineering Shenyang Ligong University Shenyang China

ISBN: (纸本)9783800757398

Autonomous Underwater Vehicle (AUV) plays an important role in plenty of fields. It is a challenging task to design a high-performance formation controller for AUVs. In this paper, a formation control policy of dual underwater vehicles based on the deep reinforcement learning method Deep Deterministic Policy Gradient method (DDPG) is proposed. The goal of our scenario is that the back AUV follows the front AUV at a certain safe distance. The policy trains the speed and direction of the back AUV, meanwhile, the customized reward function is used to ensure that the distance between the back AUV and the front AUV is within the safe distance range, and minimize the lateral deviation. The simulation results show the effectiveness of the deep reinforcement learning method in AUV formation control. © VDE VERLAG GMBH · Berlin · Offenbach.

关键词： Autonomous underwater vehicles

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Realization of Intelligent Monitoring System Based on Raspberry Pi

Realization of Intelligent Monitoring System Based on Raspbe...

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Electrical, Automation and computer Engineering (ICEACE), international conference on

作者： Haidong Zou Huizhou Jiao Chunshun Fu China Satellite Maritime Tracking and Control Department Jiangyin China

ISBN: (数字)9798350368208

ISBN: (纸本)9798350368215

A remote intelligent monitoring system based on Raspberry Pi has been developed for the monitoring of air conditioner operation status in server rooms. The system takes Raspberry Pi and CMOS sensor as the hardware platform, and acquisition and processing software are developed to complete the remote monitoring task for air conditioner operation status. Through the CMOS sensor, real-time monitoring of the air conditioning air outlet band, by using of motion target detection algorithms, real-time judgment of the motion state of the band, whether the air conditioning is running can automatically determined through the program. With the help of temperature and humidity sensors, real-time detection of the status trends in the server rooms is got, then whether the air conditioning is in the cooling state can be concluded. Through the software platform, the key features are extracted comprehensively, and the working state is judged by algorithm, and the sound and light alarm signal is issued in abnormal statuses. After experimental verification, the system design is simple, effective, and easy to maintain a variety of complex working environment.

关键词： Air conditioning Temperature sensors Temperature measurement Software algorithms Humidity Feature extraction Real-time systems Software Servers System analysis and design

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Queue Orchestration Using an In-Memory Broker

Queue Orchestration Using an In-Memory Broker

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Mobile Networks and Wireless communications (ICMNWC), IEEE international conference on

作者： Shreyas Ganesh Rohan George R Tejas Nihaarika Badri K Vinodha Computer Science and Engineering PES University Bangalore India

ISBN: (纸本)9781665491129

Existing solutions for a task queue have overheads that slow down the task queueing process. The system proposed is built with the help of Redis as the message broker. The Redis Zset data structure reduces the time taken for queuing significantly relative to existing solutions such as Celery which has a high overhead due to the various other tasks that it must perform. Celery will be used as the benchmark for comparison against the proposed system’s performance. The time taken for the task in the queue will be calculated and compared for both Celery and the proposed system for 1, 2, 4, and 8 workers. From the results, it can be observed that the tasks in the proposed system spent less time in the queue for all four cases when compared with the relative performance of Celery’s, which has increasing queue time with an increase in the number of workers.

关键词： Wireless communication Scalability Benchmark testing Data structures Task analysis

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Cross-Layer Design and Security of Network Applications

Cross-Layer Design and Security of Network Applications

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Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA), international conference on

作者： Pawan Bhambu Preetham K Arvind Kumar Pandey Department of Computer Science and Engineering Vivekananda Global University Jaipur India Department of Management School of Mangement - UG JAIN (Deemed to be University) Bangalore Karnataka India Department of Computer Science & IT ARKA JAIN University Jamshedpur Jharkhand India

ISBN: (数字)9798350349221

ISBN: (纸本)9798350349238

Cross-layer design and security for network applications have been a major concern for network providers and their clients alike. Cross-layer design provides for interoperability between different layers of the network stack, allowing for a secure implementation of network services. Cross-layer security is a key component of the design, ensuring that data remains secure throughout the life of the network application. It is accomplished through a combination of encryption, authentication, access control, and other security measures. Additionally, the design must consider scalability and flexibility to ensure that the application can grow with the needs of a changing network environment. Lastly, a cross-layer design should account for reliability, providing appropriate levels of redundancy and fault tolerance to ensure that the application remains available even in the face of network outages. Through proper component selection, application design, and implementation, secure cross-layer network applications can be deployed and maintained.

关键词： Cross layer design Scalability Redundancy Layout Medical services Machine learning Reliability engineering

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Substantiation System Using Facial Recognition and Principal Component Analysis 2nd

Substantiation System Using Facial Recognition and Principal...

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2nd international conference on Computing, Communication, and Learning, CoCoLe 2023

作者： R.Naik, Ramesh patel, Sanjay Gautam, Sunil Pachlor, Rohit bodkhe, Umesh Department of Computer Science and Engineering Institute of Technology Nirma University S-G Highway Chandlodia Gujarat Ahmedabad382481 India MIT-ADT University Pune India

ISBN: (纸本)9783031569975

In today’s networked society, the need to guarantee the security of data or physical assets is both increasingly important and more difficult to do. We periodically hear about criminal activity like credit card fraud, computer hacking, or security flaws in a corporate or governmental setting. Since they use an individual’s physiological and behavioral characteristics to determine and ascertain his identity rather than using passwords to authenticate users and grant them access to physical and virtual domains, biometric based techniques have become the most promising option for identifying people in recent years. Magnetic cards may become distorted and unreadable. PINs and passwords are tricky to remember and vulnerable to theft or guesswork. The biological makeup of a person, however, cannot be forgotten, stolen, falsified, or lost. Face recognition appears to have a variety of advantages over other biometric methods, some of which are described below: For fingerprints or hand geometry detection, the user must place his hand on a hand rest, and for iris or retina recognition, the user must remain steady in front of a camera. A user’s intentional action is required for almost all of these technologies. The objective is to develop a face recognition system that can automatically identify and verify faces based on images in a gallery or database. We’ll employ the PCA method, which recognises by employing Eigen faces, to recognise. We want to know how often each class is recognised in our research. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Face recognition

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Software Requirements Prioritization Using Fuzzy Based TOPSIS Methods 2nd

Software Requirements Prioritization Using Fuzzy Based TOPSI...

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2nd international conference on Business Data Analytics, ICBDA 2023

作者： Saxena, Virat Raj Kumar, Babloo Goel, Navnish Sharma, Yogesh Kumar CSE-AI&M Department Raj Kumar Goel Institute of Technology Ghaziabad India Department of Computer Science and Engineering Dewan V S Institute of Engineering and Technology Meerut India Department of CSE IIMT Engineering College Meerut India

ISBN: (纸本)9783031807770

The success and quality of a project are directly impacted by the software development process’ crucial step of prioritising software requirements. The fuzzy Analytic Hierarchy Process (AHP) and fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) are combined in this study to provide a thorough method for the methodical prioritisation of software requirements. We demonstrate the efficacy of this strategy using a real-world case study that makes use of an Institute Examination System (IES). The technique is used to assess Functional Requirements after first identifying Non-Functional Requirements (NFRs), which include things like security, dependability, and economy and serve as crucial criteria for doing so. Pairwise comparison matrices (PCMs) are used to represent the various stakeholder perspectives. The Extent Fuzzy AHP is then used to calculate the weights of NFRs while accounting for decision-making’s inherent subjectivity. The Objective-Based Requirements Elicitation Technique (OBRET) is used to elicit FRs, which are then evaluated in light of linguistic considerations. Our plan is based on the fuzzy TOPSIS method, which prioritises FRs by methodically processing the data. The process is completed by calculating Closeness Coefficients (cc) for each FR, which can be used to determine whether software is required. With the help of this integrated approach, project managers and software developers can use data to organise and prioritise needs, ensuring that software systems satisfy both crucial functional requirements and quality standards. In the end, it improves software project success by balancing the perspectives of various stakeholders, managing uncertainty, and raising software quality and user satisfaction. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Software quality

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Exploring Generic and Immersive Frameworks for Human-computer Interactions 24th

Exploring Generic and Immersive Frameworks for Human-Compute...

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24th international conference on Human-computer Interaction, HCII 2022

作者： Fang, Yu-Min National United University Miao-Li36003 Taiwan

ISBN: (纸本)9783031064166

The research and teaching curriculum for describing the relationship between humans and machines is still based on the human-machine system diagram, which was proposed by Sanders and McCormick in 1982. However, with the evolution of interface technology, from the earliest hardware interfaces (e.g., buttons and knobs) to the software interfaces and touchscreen displays used in the digital age, users have become familiar with the operation of products through the use of complex gestures. Therefore, the framework for human-computer interactions (HCIs) should be reexamined, and a new diagram that is more suited for the contemporary age should be developed. To this end, we established a research group to review interactive interface technology, analyze multiple relevant products, and perform a questionnaire analysis. This study proposes four interaction frameworks, namely 1) a generic computing model for HCIs, 2) a touchscreen display control model for HCIs, 3) an immersive virtual reality model for HCIs, and 4) a metaverse HCI model. This study reveals the characteristics of these four frameworks and compares their advantages and disadvantages. These new frameworks for contemporary interactions can be used as a reference for future research studies and teaching curricula. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

关键词： Virtual reality

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