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A Risk-based UAS Traffic Network Model for Adaptive Urban Airspace Management

A Risk-based UAS Traffic Network Model for Adaptive Urban Ai...

引用

AIAA Aviation Forum

作者： Pang, Bizhao Tan, Qingyu Ra, Thu Low, Kin Huat Nanyang Technol Univ Air Traff Management Res Inst Singapore 637460 Singapore Nanyang Technol Univ Sch Mech & Aerosp Engn Singapore 639798 Singapore Air Traff Management Res Inst ATMRI Singapore Singapore Sch Mech & Aerosp Engn Singapore Singapore

ISBN: (数字)9781624105982

ISBN: (纸本)9781624105982

This paper presents a risk-based model for UAV path planning in urban low altitude environments. Firstly, the risks in urban environments were identified and classified into four groups, and the corresponding risk costs were categorized into five different levels. A general risk cost model was then developed for qualifying all related risk costs. Secondly, a ConOps for urban air route network with plane and cubical diagonals was built and the obtained risk cost information were ingested into the network to assist path planning. Finally, an A*cost algorithm was developed to generate a safe and cost-effective path for UAVs in urban low altitude airspace. Simulation results show that the novel route network structure with diagonals has better performance, with an average reduction of 17.56% for path distance. While the proposed A*cost algorithm has good results in terms of total cost and computational time, outperforming traditional Dijkstra and Ant Colony algorithm.

关键词： Airspace Management Path Planning Air Routes Communication, Navigation and Surveillance Particle Swarm Optimization algorithm performance Search algorithm Genetic algorithm Aircraft Systems Thunderstorms

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AI-Powered Network Intrusion Detection: A New Frontier in Cybersecurity 24

AI-Powered Network Intrusion Detection: A New Frontier in Cy...

引用

24th International Arab Conference on Information Technology, ACIT 2023

作者： Rachini, Ali Fares, Charbel Assaf, Maroun Abi Jamal, Buroog Khatoun, Rida Department of Computer Science and Information Technology Jounieh Lebanon Iraqi Airways Baghdad Iraq Telecom ParisTech Paris France

ISBN: (纸本)9798350384307

Intrusion Detection Systems (IDS) constitute a critical line of defense in contemporary cybersecurity efforts, designed to identify and counteract unauthorized access and malicious activities within computer networks. Leveraging the capabilities of Machine Learning (ML) algorithms, IDS endeavors to distinguish potentially harmful alterations and security breaches. This study delves into the pivotal question of algorithm selection for optimal performance. Machine Learning-based Intrusion Detection Systems (ML-IDS) are designed not only to enhance overall system security but also to strike a balance between minimizing false alarms and maximizing true alarm rates. To address this, we empirically evaluate five ML algorithms and present their performance in the context of network intrusion detection. Those algorithms are as follows: Random Forest achieves an impressive accuracy rate of 99.88%, Gradient Boosting demonstrates robust performance at 99.76%, AdaBoost exhibits an accuracy of 90.00%, Decision Tree boasts a noteworthy accuracy of 99.80%, and Extremely Randomized Trees demonstrate substantial proficiency with an accuracy of 99.86%. This empirical exploration enriches our comprehension of these algorithms and offers critical insights to enhance the security of computer systems. © 2023 IEEE.

关键词： AI algorithm performance Cybersecurity Enhancement Machine Learning algorithms Network Intrusion Detection Systems

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Conditional Face Image Manipulation Detection: Combining algorithm and Human Examiner Decisions 24

Conditional Face Image Manipulation Detection: Combining Alg...

引用

12th ACM Workshop on Information Hiding and Multimedia Security (IH and MMSec)

作者： Ibsen, Mathias Nichols, Robert Rathgeb, Christian Robertson, David J. Davis, Josh P. Lovasdal, Froy Raja, Kiran Jenkins, Ryan E. Busch, Christoph Hsch Darmstadt Darmstadt Germany Univ Strathclyde Glasgow Scotland Univ Greenwich London England Natl Police Directorate Oslo Norway Norwegian Univ Sci & Technol Gjovik Norway

ISBN: (纸本)9798400706370

It has been shown that digitally manipulated face images can pose a security threat to automated authentication systems (e.g., when such systems are used for border control). In such scenarios, a malicious actor can, in many countries, apply for an identity document using a manipulated face image, which can then be used to gain fraudulent access to a system. Research has shown that humans and algorithms struggle to detect digitally manipulated face images, especially when the type of manipulation is unknown or when evaluated across multiple types of manipulations. In this work, we consider the detection performance of algorithms and humans on datasets consisting of retouched, face swapped and morphed images. Specifically, we investigate the joint performance of algorithms and humans in a differential detection scenario where both a trusted and suspected image are presented simultaneously. To this end, we propose a conditional face image manipulation detection approach where the human decision is only considered when the algorithm is unsure about the decision outcome. The results show that the automated algorithm performs better than the human detectors and that combining the decisions of algorithms and humans, in general, leads to an increased detection performance. To our knowledge, this is the first study to explore the joint detection performance of algorithms and humans in a differential face manipulation detection scenario and when using a variety of face image manipulations.

关键词： Digital forensics face manipulation detection human performance algorithm performance information fusion

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Effects of Lexicon Size on Solving Bananagrams 12

Effects of Lexicon Size on Solving Bananagrams

引用

12th International Conference on Internet Technology and Secured Transactions (ICITST)

作者： Haling, Paul Roy, Ahana Olmsted, Aspen Coll Charleston Dept Comp Sci Charleston SC 29401 USA

ISBN: (纸本)9781908320933

In this paper, we investigate the problem of playing Bananagrams with a computer player. Bananagrams is a fast paced board game where players compete to place and rearrange their letter tiles as quickly as possible. Despite being superficially similar Scrabble, Bananagrams is not nearly as well studied. We seek to address this knowledge gap by designing a simple program that plays Bananagrams by itself. In this paper, we investigate the effects of lexicon size on the ability of the program to play Bananagrams. We found that using a larger lexicon was slower but increased the win rate.

关键词： Bananagrams algorithm performance

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Ground-Based Turn Coordination for VTOL Vehicles with Wind Compensation

Ground-Based Turn Coordination for VTOL Vehicles with Wind C...

引用

AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum)

作者： Welsch, Marc Fichter, Walter Univ Stuttgart Inst Flight Mech & Control D-70569 Stuttgart Germany

ISBN: (数字)9781624106095

ISBN: (纸本)9781624106095

Especially in urban environments where space is closely confined, VTOL vehicles used for Urban Air Mobility will need to be controlled with respect to ground in the horizontal plane in order to comply with path restrictions set by fixed obstacles. This work presents a control scheme in the horizontal plane that allows a pilot to command ground-based velocities with respect to the vehicle heading and inherently coordinates the turn whenever a change of heading is commanded. The turn coordination algorithm is adapted based on the flight state of the vehicle in order to compensate for the varying influence of wind. It is shown that the adaption improves the control performance during turning flight.

关键词： Pilot Urban Air Mobility Thrust Vectoring Aerodynamic Coefficients Yaw Sideslip Angle Euler Angles algorithm performance Attitude Control Airspeed

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Chaotic-PSO Approach For Optimal Power Flow

Chaotic-PSO Approach For Optimal Power Flow

引用

2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2024

作者： Thakur, Shivam Chandel, Ashwani Kumar Chandrasekaran, S. National Institute of Technology Department of Electrical Engineering H.P Hamirpur India

ISBN: (纸本)9798350348460

Optimal power flow (OPF), which aims to find the safest and most economical operating point while satisfying a variety of constraints, is a significant optimization problem in power systems. In this paper, a novel approach to OPF problem solution with Chaotic Particle Swarm Optimization (CPSO) is presented. Suggested approach improves the algorithm's capacity to break out of local optima and converge towards global solutions by fusing the chaotic dynamics with the exploration-exploitation powers of Particle Swarm Optimization (PSO). The particle movement becomes unpredictable due to its chaotic character, which enhances the algorithm's capacity to negotiate difficult solution spaces. In comparison to conventional optimization methods, the research assesses the performance of CPSO-OPF algorithm on benchmark test systems. The suggested method finds nearly optimal solutions for OPF issues, balancing computer efficiency and solution quality, as demonstrated by simulation results. The convergence and robustness of CPSO-OPF render it a valuable tool for resolving complex and large-scale power system problems, hence promoting the development of robust and effective energy management approaches. © 2024 IEEE.

关键词： algorithm performance benchmark test systems Chaotic Particle Swarm Optimization (CPSO) Genetic algorithm (GA) global solutions optimal power flow (OPF) Particle Swarm Optimization (PSO)

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Sizing methods for aircraft of variable propulsion system complexity 55

Sizing methods for aircraft of variable propulsion system co...

引用

55th AIAA Aerospace Sciences Meeting

作者： Vegh, J. Michael Macdonald, Tim Wendor, Andrew D. Alonso, Juan J. Department of Aeronautics & Astronautics Stanford University StanfordCA94305 United States

ISBN: (数字)9781624104473

ISBN: (纸本)9781624104473

This paper compares the computational cost and robustness of a number of different algorithms for the sizing and optimization of aircraft. In particular, three classes of aircraft will be investigated, each with a different level of propulsion system complexity. The first is a conventional turbofan-powered aircraft. A lithium-air battery-powered aircraft, incorporating both energy and power constraints is second. Third is an aluminum-air/lithium-ion battery powered aircraft, which switches to different energy systems depending on the overall propulsion system power requirements. Several different aircraft design problem formulations will be considered for each of these aircraft. Sizing loops as well as deter- mining constraints such as fuel margin by exposing them to the optimizer will both be explored. Results suggest that integrating surrogate models to inform the sizing loop leads to substantially fewer function evaluations than a simple successive substitution, while maintaining a relative insensitivity to a poorly-informed initial guess that optimizer-sizing algorithms lack. © 2017 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： Commercial Aircraft Propulsion System Energy Systems Hybrid Electric Aircraft Sequential Quadratic Programming algorithm performance Lithium Air Battery Aircraft Sizing Fossil Fuels Turbofan

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Residual Life Assessment of XLPE Insulated Power Cable Based on Particle Swarm Optimization 6

Residual Life Assessment of XLPE Insulated Power Cable Based...

引用

6th International Conference on HVDC, HVDC 2024

作者： Ma, Hanchao Zhang, Xiaojun Liu, Guoliang Wang, Zhen Li, Yue Zhuang, Xin State Grid Xinjiang Electric Power Co. Ltd. Power Science Research Institute Urumqi China

ISBN: (纸本)9798350387759

During the residual life evaluation process of the cable, since the evaluation factor is the weight value calculation exists, there is a lower accuracy of the evaluation result, and therefore, the residual life assessment system of the micro-gatheter-based algorithm is determined. First, the fault tree analysis method is used, and the evaluation factor is determined from the perspective of electrostaticization and thermochemical, and the evaluation model is constructed, and the aging factor of the cable is determined. Second, the weight value and the adaptation function are calculated by the particle group algorithm, and the input data is normalized. Finally, it is determined to determine the remaining life of the cable in conjunction with different assessment factors. Through example analysis, the research method can obtain the optimal solution adaptation value 1.982 when it is an iteration to 10 times, and in its subsequent process, the optimal solution adaptation value is stable in 1.982, and the method of this article is more Fast acquisition of the best solution adaptation value, improve the efficiency of the surplus life evaluation of the analysis object, determine the weight value of the assessment factor under the measurement of the iterative period, and improve the residual life of the cable. © 2024 IEEE.

关键词： algorithm performance cross-linked polyethylene evaluation factors particle swarm optimization algorithm power cable residual life assessment weight value calculation

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A New Linear Multiuser Detector in Asynchronous CDMA Systems

A New Linear Multiuser Detector in Asynchronous CDMA Systems

引用

1996 International Conference on Communication Technology

作者： Xiao Weimin Wang Jing Yao Yan State Key Lab on Microwave & Digital Communications at TsingHua University

This paper puts forward a new multiuser detector in asynchronous CDMA systems. Unlike the existing asynchronous detectors,the new detector is characterized by its low cost of computation and easy r

ISBN: (纸本)0780329163

This paper puts forward a new multiuser detector in asynchronous CDMA systems. Unlike the existing asynchronous detectors,the new detector is characterized by its low cost of computation and easy r

关键词： code division multiple access linear multiuser detector asynchronous CDMA systems asynchronous detectors algorithm performance memoryless channel transform matrix size

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Five-Degree-of-Freedom Pose Estimation from an Imaged Ellipsoid of Revolution

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JOURNAL OF SPACECRAFT AND ROCKETS 2019年第3期56卷 952-958页

作者： Modenini, D. Univ Bologna Dept Ind Engn Via Fontanelle 40 I-47121 Forli Italy

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