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Cyber Attack Detection and Location in Distributed Multi-Sensor Unmanned Systems

Cyber Attack Detection and Location in Distributed Multi-Sen...

引用

2023 IEEE international conference on Unmanned Systems, ICUS 2023

作者： Xu, Hongyuan Wang, Wei Wu, Hao Gao, Qing School of Automation Science and Electrical Engineering Beihang University Beijing China School of Automation Science and Electrical Engineering Beihang University Zhongguancun Laboratory Beijing China Network Information Security Institute CNCERT/CC Beijing China

ISBN: (纸本)9798350316308

With the breakthrough and development of communication technology, security of unmanned autonomous systems has become an essential problem researchers concern. This paper focuses on the problem of attack detection and location in distributed multi-sensor systems and some specific measures are provided in detail. In terms of false data injection attack in sensors and communication channel, we firstly implement information fusion employing Dempster-Shafer theory after selecting the form of data fusion. Next, based on the designed threshold, we detect whether there exists false data injection attack in this system, and determine the specific location of the attack through comparing fused results. Finally, a numerical example of general automatic platoon of vehicles is given to verify our method. © 2023 IEEE.

关键词： Information filtering

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Voice Assisted E-Commerce Website 15

Voice Assisted E-Commerce Website

引用

15th international conference on Advances in computing, control, and Telecommunication Technologies, ACT 2024

作者： Kumar, Gitansh Matharu, Manmeet Kaur Joshi, Gaurank Chauhan, Jatin Kumar, Ankit Department of Computer Science ABES Engineering College Ghaziabad India

ISBN: (纸本)9798331300579

The way humans interact with computers has evolved thanks to automatic voice-controlled devices. Voice or speech recognition systems enable a user to make a hands-free request to the computer, which then processes the request and returns relevant responses to the user. Voice-controlled technologies have become more efficient and are widely implemented in many sectors to enable and improve human-to-human and human-to-computer interactions after years of development and research in machine learning and artificial intelligence. Web-based technologies enable cutting-edge e-commerce applications to provide interactive and user-friendly interfaces. However, in other cases, people, particularly those with visual difficulties, are unable to completely appreciate the utility of such programs. A voice-controlled system embedded in a web application can improve user experience and functionality. In the current corporate environment, e-commerce is on the rise. Using the Internet as an electronic medium, e-commerce systems facilitate the buying and selling of goods. By enabling contact-free interactions between the user and the machine, voice/speech recognition systems greatly simplify the process. Voice recognition has been the subject of a great deal of research up to this point. The user experience and task completion can be improved by utilizing all of these in online apps. This feature will also improve the web app's accessibility because a significant portion of the population suffers from various forms of visual impairments, and it will be especially helpful to them. © Grenze Scientific Society, 2024.

关键词： Speech recognition

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Research on API Sequence Recommendation Based on Code Property Graph 5

Research on API Sequence Recommendation Based on Code Proper...

引用

5th international conference on Computer, Big Data and Artificial Intelligence, ICCBD+AI 2024

作者： Luo, Xianchao Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo China

ISBN: (纸本)9798331533991

The utilization of APIs not only enhances software reusability but also improves development efficiency and reduces costs. However, with the continuous increase in the number of APIs, developers face difficulties in quickly recalling and comprehending the appropriate API call sequences and their constraints. Thus, there is a need for an efficient API sequence recommendation tool. The key task in achieving efficient API sequence recommendation is to understand the semantic structure of the code context. However, most researchers currently lack an analysis of program structure in API sequence recommendation studies, leading to a decrease in the accuracy of these tools. To achieve a deeper understanding of the semantic context of code, this paper employs semantic syntax information and incorporates control structure information to improve the accuracy of API sequence recommendations. Specifically, this study first employs early fusion techniques based on the abstract syntax tree to incorporate control flow edges and data dependency edges - two types of heterogeneous edges - to construct a new representation of code known as a code property graph. This graph is then used to analyze the semantic syntax information and control structures of the code. Subsequently, a relational graph attention network model is employed to analyze the code property graph. Experimental results indicate that the accuracy of API sequence recommendations significantly improves with the incorporation of code control structures. © 2024 IEEE.

关键词： Computer software reusability

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Energy Efficient 2D-DOA Based Precoding Approach for 5G Multicell Massive MIMO System 3

Energy Efficient 2D-DOA Based Precoding Approach for 5G Mult...

引用

3rd IEEE international Maghreb Meeting of the conference on sciences and Techniques of automatic control and Computer engineering, MI-STA 2023

作者： Ali, Ehab Shglouf, Ibrahim Balfaqih, Mohammed Alzughid, Saleh Mustafa, Haytham Saied, Muftah University of Benghazi Benghazi Libya Libyan International University Benghazi Libya University of Jeddah Jeddah Saudi Arabia College of Science and Technology Qaminis Libya College of Electrical & Electronics Technology Benghazi Libya National Center for Quality Assurance and Accrediation Benghazi Libya

ISBN: (纸本)9798350319897

This article presents an efficient downlink zeroforcing (ZF) precoding technique that utilizes the twoDimensional Direction of Arrival (2D-DOA) beam-spaced method to maximize the energy efficiency of multi-cell massive- MIMO systems. The approach for estimating the critical elevation and azimuth angles of detected signals from distributed sources in multi-cell massive-MIMO systems is also detailed. A mathematical model for energy efficiency of downlink ZF precoding is developed using these critical angles, and its performance is evaluated and compared to conventional 2D-DOA methods. Simulation results demonstrate that the proposed method significantly improves energy efficiency with a gain of approximately 98.3% compared to the deterministic ZF precoding method. © 2023 IEEE.

关键词： MIMO systems

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D2D Cooperative MEC Multi-objective Optimization Based on Improved MOEAD 7th

D2D Cooperative MEC Multi-objective Optimization Based on Im...

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7th international conference on computing, control and Industrial engineering, CCIE 2023

作者： Zhao, Qifei Wang, Gaocai Wang, Zhihong Wang, Yujiang School of Electrical Engineering Guangxi University Guangxi Nanning530004 China School of Computer and Electronic Information Guangxi University Guangxi Nanning530004 China College of Mechanical and Automotive Engineering Guangxi University of Science and Technology Liuzhou545001 China

ISBN: (纸本)9789819927296

In this paper, we study D2D collaborative MEC multi-objective optimization based on improved MOEAD. The current mobile edge computing model (MEC), where tasks are directly uploaded to the MEC server for execution, has problems such as high computational pressure on the edge server and underutilization of resources on idle mobile devices. If collaborative computing is performed using idle devices in the edge network, it can realize the reasonable utilization of users’ idle resources and enhance the computational capacity of MEC. In this paper, we propose a partially offloaded MEC model (DCM-PO) with D2D collaboration, in which, in addition to local computation and MEC server computation, some tasks can be uploaded to idle D2D devices for auxiliary computation. In this paper, the MOEAD algorithm is improved with parallel computing (Parallel MOEAD – PMOEAD), and the simulation results show that the PMOEAD model can effectively reduce the energy consumption and latency of the edge network compared with the baseline MEC model. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Multiobjective optimization

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A Measurement based Predictive Maintenance Algorithm for Rigid-Body Dynamical Systems using Radial Basis Function Approximation and Information Theory 27

A Measurement based Predictive Maintenance Algorithm for Rig...

引用

27th international conference on System Theory, control and computing, ICSTCC 2023

作者： Ortmann, Jan Ortmann, Mathis Department of Electrical Engineering and Computer Science University of Siegen Germany Department of Mathematics Justus Liebig University of Giessen Germany

ISBN: (纸本)9798350337983

This paper presents new viewpoints to solve predicative maintenance problems for arbitrarily rigid-body mechanical systems. Reliable predictions for changes in physical parameters are highly dependent on system model accuracy. Hence, costs for physical system modeling are expensive and time-consuming. To overcome this problem, we replaced the modeling process with a full measurement based procedure in conjunction with radial basis functions (RBF) approximation to create the system model. Subsequently, information theory is employed to generate a meaningful metric quantity that reports about the changes in physical parameters. A rigid-body mechanical system is used as an example to verify the presented theory. © 2023 IEEE.

关键词： Radial basis function networks

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A New Dimension Elimination Method and Robustness Research of Model Predictive Thrust control of Linear Induction Motor Driven by Three-level Inverter

A New Dimension Elimination Method and Robustness Research o...

引用

2023 IEEE international conference on Predictive control of electrical Drives and Power Electronics, PRECEDE 2023

作者： Li, Dongyi Cheng, Siwei Xu, Wei Tang, Yirong Huazhong University of Science and Technology School of Electrical and Electronic Engineering Wuhan China

ISBN: (纸本)9798350396867

Model predictive control achieves different optimal control objectives, such as low ripple, high dynamic performance, low energy loss, and high robustness of linear induction motors. The difficulty of multi-objective control lies in adjusting the weighting factors between different physical quantities. Currently, the most commonly used method is the online table lookup method, which selects the optimal weighting factor by enumerating a large number of cases. However, this method takes a long time to search, has a large computational burden, and has slow dynamic response. In this paper, a new method is proposed to achieve dimension elimination and automatic weighting factor adjustment. This method has two objective functions. The first objective function defines the fluctuation suppression coefficient kp, which outputs a series of voltage vectors to suppress system instability. In the second function, the ripple amount is divided by the reference value based on the essence of the ripple. The fluctuation is defined as a relative concept, eliminating the dimension of a single target. The weighting factor can be selected as 1, avoiding the need for adjustment of the weighting factor. This method has been successfully applied in the Simulink simulation platform. The simulation results show that it not only greatly improves the robustness of the system but also avoids complicated weighting factor adjustment. © 2023 IEEE.

关键词： Table lookup

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Distributed Consensus control Research of Unmanned Aerial Vehicle (UAV) Swarms Based on Lennard-Jones Potential 3rd

Distributed Consensus Control Research of Unmanned Aerial Ve...

引用

3rd international conference on Machine Learning, Cloud computing and Intelligent Mining, MLCCIM 2024

作者： Xu, Peng Liu, Jintao Sun, Xuefei Chen, Haotian Chen, Yinsheng Command and Control Engineering College Army Engineering University of PLA Houbiaoying Nanjing210007 China Naval Aviation University Yantai China College of Measurement and Control Technology and Telecommunications Engineering Harbin University of Science and Technology Heilongjiang Province Harbin China

ISBN: (纸本)9789819616930

The consensus control is a key issue in the research of unmanned aerial vehicle (UAV) swarm. Molecular dynamics is a method of stimulating complex group emergence behavior through simple interactions between individuals. This article draws inspiration from the principles of molecular dynamics to building a collective dynamics model for UAV swarm. Firstly, using Vicsek model to construct the self-organizing motion computational model. Then, using the Lennard-Jones two-body interaction potential in molecular dynamics as the interaction law of UAV swarm. By analyzing the Newtonian mechanical forces between each UAV in the swarm, consensus control of the UAV swarm can be achieved. Finally, simulation verification was conducted to analyze the effects of different power potential functions, different scales of swarm, and different white noise coefficient on the consensus control of UAV swarm. It is concluded that the 8–4 potential has better results for consensus control of UAV swarm and has good control effects on small, medium, and large scales UAV swarm. However, consensus cannot be fully guaranteed under strong noise conditions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Lennard-Jones potential

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Performance Optimization of Double Intelligent Reflecting Surfaces Aided Mobile Edge computing Networks with NOMA Scheme 6

Performance Optimization of Double Intelligent Reflecting Su...

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6th international conference on control, Robotics and Informatics, ICCRI 2023

作者： Ha, Dac-Binh Truong, Van-Truong Truong, Tien-Vu Lee, Yoonill Faculty of Electrical-Electronic Engineering Duy Tan University Da Nang550000 Viet Nam Science and Technology Department Duy Tan University Da Nang550000 Viet Nam

ISBN: (纸本)9798350323283

In this paper, the analytical performance of double intelligent reflecting surfaces (IRSs) aided mobile edge computing (MEC) networks based on non-orthogonal multiple access (NOMA) is studied. Two IRSs are deployed to assist two users in offloading their tasks to an access point (AP). The closed-form expressions of successful computation probability (SCP) and energy consumption probability (ECP) are derived to illustrate system performance. Furthermore, a multiple-objective (MO) optimization problem is formulated and solved based on MO Particle Swarm Optimization (PSO). Finally, numerical results are provided to investigate the performance and verify the correctness of our analysis. © 2023 IEEE

关键词： Energy utilization

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An EMS based on the FLC of a variable three-phase dump load Composed of PV/Fuel Cell/Battery Systems 20

An EMS based on the FLC of a variable three-phase dump load ...

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20th international Multi-conference on Systems, Signals and Devices, SSD 2023

作者： Ayat, Yahia Badoud, Abd Essalam Mekhilef, Saad Automatic Laboratory of Setif 1 Electrical Engineering Department Setif Algeria Swinburne University of Technology School of Science Computing and Engineering Technologies Hawthorn Australia

ISBN: (纸本)9798350332568

to perceive, monitor, and regulate the behavior of hybrid energy sources, an energy management system is required. The suggested system discuss in this paper integrates photovoltaics (PVs), fuel cells (FCs), and batteries. The primary goals in hybrid systems for renewable energy used fuel-cells and batteries are to reduce hydrogen consumption and maximize battery state of charge (SOC), to accomplish these goals, a fuzzy control strategy as an energy management strategy (EMS) is presented in this research to operate independently from the grid. During the day, this renewable hybrid power system relies on PV electricity as its primary source. In the dark or during times of shade, it uses the FC to provide support as a backup source. When the load power is high, the battery aids the FC. DC/DC and DC/AC converters are included in the system. Two converters DC/DC make up the power conditioning system: a boost-type unidirectional dc/dc converter for the PV and FC, and a boost-type bidirectional dc/dc converter for the battery. The key system parameters, such as FC current and battery state-of-charge (SOC), are controlled using the fuzzy control approach. It was constructed in MATLAB/Simulink in order to study and monitor the system to demonstrate the effectiveness of the fuzzy control technique. The results revealed that the system functions effectively as a micro-grid. The results reveal that the battery's SOC is maintained at an appropriate level for such batteries. The DC link voltage (VDC) is maintained at a safe level. Furthermore, the use of H2 fuel is 17 grams. There is a lot of room for cost-cutting improvements, which necessitates more study into system optimization and the use of diverse control systems. © 2023 IEEE.

关键词： Energy management systems

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