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Machine Learning and Autonomous systems (ICMLAS), International Conference on

作者： R Pooja Nikitha Elugubanti Mary Shiba C Kalai priya V K Sasirekha S Rathana Sabapathy Computer Science and Business Systems R.M.K Engineering College Kavaraipettai Tiruvallur District Department Of Computer Science and Business Systems R.M.K Engineering College Kavaraipettai Department Of Computer Science and Engineering R.M.K College of Engineering and Technology Puduvoyal Tiruvallur District Department Of Computer Science and Business Systems R.M.D Engineering College Kavaraipettai Department Of Computer Science and Engineering Dhaanish Ahmed College of Engineering Vanchuvanchery Chennai District

ISBN: (数字)9798331505745

ISBN: (纸本)9798331505752

Providing diverse patient groups with their specific medication requirements, using a wide range of drugs, poses meaningful challenges for prescribing. Standardized approaches often lead to large waste, many side effects and suboptimal outcomes. Therefore, we need improved, more personalized healthcare. MediGuide AI's drug recommendation system is powered by machine learning and it offers a thorough solution. Optimized data pre-processing and analysis, leading to the desired outcome, is achieved using advanced machine learning algorithms like Naive Bayes, TF-IDF and the Natural Language Toolkit. Highly personalized prescriptions are generated using thorough patient data, including demographics and meaningful clinical factors to achieve substantially better accuracy. Important enhancements include dual recommendation outputs, which provide many drug recommendations alongside a large number of alternative Ayurvedic treatments presented side by side for effortless comparison. An advanced personalized dosage calculation module precisely determines drug dosages using advanced regression models based on age, weight and metabolism. This system helps patients track and record their medications and it also suggests several nearby Ayurvedic shops based on their location. MediGuide AI employs exceptionally powerful algorithms and its advanced tools deliver remarkably precise and exceptionally user-friendly healthcare solutions. Current systems make use of rule-based methods that cannot learn from new data, whereas MediGuide AI leverages a hybrid Naïve Bayes and PassiveAggressiveClassifier model for higher accuracy and real-time adaptability. It also includes Ayurvedic options to ensure personalized healthcare experience.

关键词： Drugs Accuracy Pain Databases Natural languages Machine learning Vectors Bayes methods Medical diagnostic imaging Diseases

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Safe platooning control of connected and autonomous vehicles on curved multi-lane roads

arXiv

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arXiv 2025年

作者： Chen, Xiao Tang, Zhiqi Johansson, Karl H. Mårtensson, Jonas Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Sweden

This paper investigates the safe platoon formation tracking and merging control problem of connected and automated vehicles (CAVs) on curved multi-lane roads. The first novelty is the separation of the control designs into two distinct parts: a lateral control law that ensures a geometrical convergence towards the reference path regardless of the translational velocity, and a longitudinal control design for each vehicle to achieve the desired relative arc length and velocity with respect to its neighboring vehicle. The second novelty is exploiting the constructive barrier feedback as an additive term to the nominal tracking control, ensuring both lateral and longitudinal collision avoidance. This constructive barrier feedback acts as a dissipative term, slowing down the relative velocity toward obstacles without affecting the nominal controller’s performance. Consequently, our proposed control method enables safe platoon formation of vehicles on curved multi-lane roads, with theoretical guarantees for safety invariance and stability analysis. Simulation and experimental results on connected vehicles are provided to further validate the effectiveness of the proposed method. Copyright © 2025, The Authors. All rights reserved.

关键词： Feedback

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An Algorithmic Approach to Intrusion Detection in Ad Hoc Wireless Networks Based on Artificial Intelligence

An Algorithmic Approach to Intrusion Detection in Ad Hoc Wir...

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2025 International Conference on Intelligent control, Computing and Communications, IC3 2025

作者： Sonekar, Shrikant V. Kshirsagar, Pravin R. Unhelkar, Bhuvan Chakrabarti, Prasun Maram, Balajee Upreti, Kamal J D College of Engineering & Management Department of Computer Science & Engineering Nagpur India J D College of Engineering & Management Department of Electronics & Telecommunication Engineering Nagpur India Muma College of Business University of South Florida Department of Infornation Systems and Decision Sciences Sarasata United States Sir Padampat Singhania University Department of Computer Science & Engineering Rajasthan Udaipur3313606 India Sr University Department of Computer Science and Artificial Intelligence Telangana Warangal506371 India Christ University Department of Computer Science Delhi NCR Ghaziabad India

ISBN: (纸本)9798331527495

The self-configured, autonomous, and framework-free modes of communication that mobile adhoc networks (MANETs) offer have revolutionized our culture. As a result, efforts have been made to explore ways to maximize the potential of MANETs through increased and improved utilization. Standards for AI have been developed thanks to the most recent release of new machine learning technologies. Different security-related issues from malware assaults affect mobile ad hoc networks (MANETs). Any node operates as a router to move data without centralized control, making nodes more vulnerable to threats from other nodes or attackers because of their brief existence. Because of this, MANET needs particular security policies to detect the incorrect entrance of misbehaving nodes. If all nodes are self-assured and correctly collaborate, the networks function better. The paper presents a practical artificial intelligence algorithm-based security system that uses AdaBoost and DT algorithms to recognize and identify packet falling nodes, classify information packets as normal or abnormal, and detect insider threats in real-time. The results showed that DT performed better than AdaBoost, with a 98% accurate prediction rate. Consequently, DT is better able to recognize damaging attacks in MANETs. © 2025 IEEE.

关键词： computer viruses

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Invariance of Gaussian RKHSs Under Koopman Operators of Stochastic Differential Equations With Constant Matrix Coefficients

Invariance of Gaussian RKHSs Under Koopman Operators of Stoc...

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94th Annual Meeting of the International Association of Applied Mathematics and Mechanics, GAMM 2024

作者： Philipp, Friedrich M. Schaller, Manuel Worthmann, Karl Peitz, Sebastian Nüske, Feliks Optimization-Based Control Group Institute of Mathematics Technische Universität Ilmenau Ilmenau Germany Department of Computer Science Paderborn University Paderborn Germany Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany Department of Mathematics and Computer Science Freie Universität Berlin Berlin Germany

We consider the Koopman operator semigroup (Kt)t≥0 associated with stochastic differential equations of the form dKt = AKt dt + B dWt with constant matrices A and B and Brownian motion Wt . We prove that the reproducing kernel Hilbert space ℍc generated by a Gaussian kernel with a positive definite covariance matrix C is invariant under each Koopman operator Kt if the matrices A, B, and C satisfy the following Lyapunov-like matrix inequality: AC2 + C2 A ≤ 2BB. In this course, we prove a characterization concerning the inclusion ℍc1 ⊂ ℍc2 of Gaussian RKHSs for two positive definite matrices C1 and C2 . The question of whether the sufficient Lyapunov-condition is also necessary is left as an open problem. © 2024 The Author(s). Proceedings in Applied Mathematics & Mechanics published by Wiley-VCH GmbH.

关键词： Stochastic systems

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Spatial locking of chimera states to frequency heterogeneity in nonlocally coupled oscillators

arXiv

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arXiv 2025年

作者： Mircheski, Petar Nakao, Hiroya Department of Systems and Control Engineering Institute of Science Tokyo Tokyo152-8552 Japan

Chimera states in systems of nonlocally coupled oscillators, i.e., self-organized coexistence of coherent and incoherent oscillator populations, have attracted much attention. In this study, we consider the effect of frequency heterogeneities on the chimera state and reveal that it induces spatial locking of the chimera state, i.e., the coherent and incoherent domains align with lower and higher frequency regions, respectively, in a self-adaptive manner. Using an extended self-consistency approach, we show that such spatially locked chimera states can be reproduced as steady solutions of the system in the continuum limit. Furthermore, we develop a variational argument to explain the mechanism leading to spatial locking. Our analysis reveals how heterogeneity can affect the collective dynamics of the chimera states and offers insights into their control and applications. Copyright © 2025, The Authors. All rights reserved.

关键词： Oscillistors

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Joint Encryption and Optimization for 6G MEC-Enabled IoT Networks

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IEEE Access 2025年 13卷 79757-79770页

作者： Ahmed, Manzoor Ullah Khan, Wali Alrayes, Fatma S. Said, Yahia Al-Sharafi, Ali M. Kim, Mi-Hye Dashdondov, Khongorzul Ullah, Inam Hubei Engineering University School of Computer and Information Science Institute for AI Industrial Technology Research Xiaogan432000 China Luxembourg City1855 Luxembourg Princess Nourah bint Abdulrahman University College of Computer and Information Sciences Department of Information Systems P.O. Box 84428 Riyadh11671 Saudi Arabia Northern Border University Center for Scientific Research and Entrepreneurship Arar73213 Saudi Arabia University of Bisha College of Computing and Information Technology Department of Computer Science and Artificial Intelligence Bisha67714 Saudi Arabia Chungbuk National University Department of Computer Engineering Chungbuk Cheongju-si28644 Korea Republic of Gachon University College of IT Convergence Department of Computer Engineering Seongnam13120 Korea Republic of Gachon University Department of Computer Engineering Seongnam13120 Korea Republic of

With the advent of advancements in future sixth-generation (6G) communication systems, Internet of Things (IoT) devices, characterized by their limited computational and communication capacities, have become integral in our lives. These devices are deployed extensively to gather vast amounts of data in real-time applications. However, their restricted battery life and computational resources present significant challenges in meeting the requirements of advanced communication systems. Mobile Edge Computing (MEC) has emerged as a promising solution to these challenges within the IoT realm in recent years. Despite its potential, securing MEC infrastructure in the context of IoT remains an open task. This study explores the operational dynamics of a secured IoT-enabled MEC infrastructure, focusing on providing real-time, on-demand, secure computational resources to low-powered IoT devices. It outlines a joint optimization problem to maximize computational throughput, minimize device energy consumption, reduce computational latency, and mitigate security overhead. An optimization algorithm is introduced to address these challenges by jointly allocating resources, thereby optimizing throughput, conserving energy, and meeting latency benchmarks through dynamic system adaptation. The effectiveness of the proposed model and algorithm is demonstrated through comparisons with relevant benchmark schemes, highlighting its efficiency in various scenarios. This work showcases the potential of advancements in encryption to deliver scalable security solutions with reduced resource consumption as the number of devices increases. © 2013 IEEE.

关键词： Mobile telecommunication systems

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Robust Path-following controller for Multirotor Vehicles in Uncertain Wind Conditions

Robust Path-following Controller for Multirotor Vehicles in ...

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AIAA science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Bullock, John L. Trujillo, Anna C. Cheng, Sheng Hovakimyan, Naira Dynamic Systems and Control Branch NASA Langley Research Center HamptonVA23681 United States Department of Mechanical Science and Engineering University of Illinois Urbana-Champaign UrbanaIL61801 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

This paper presents simulations of L1 adaptive controller on a multirotor vehicle for compensation of convective winds. There are increasing efforts to utilize unmanned vehicles for fighting wildfires, but such vehicles need to be able to compensate for convective updrafts and other uncertainties (e.g., wind shear and turbulence) caused by the wildfire. Other application domains, such as urban air mobility, also must account for convective or uncertain winds present in urban microclimates. Geometric controllers have great tracking performance properties in environments without uncertainties, but the tracking performance degrades when wind disturbances and external loads are present in the environment. Introducing L1 adaptive control into the controller architecture compensates for these wind disturbances and reduces the tracking error caused by such disturbances. The controller architecture is implemented on a small quadrotor. The simulations demonstrate the advantages of the L1 adaptive augmentation for a sample figure-eight trajectory while encountering unknown variable wind conditions with an external load. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Adaptive control systems

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Exploring the Suitability of Existing VR Locomotion Technique Applications for Older Adults - A Scoping Review

Exploring the Suitability of Existing VR Locomotion Techniqu...

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Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), IEEE Conference on

作者： Kit-Ying Angela Chong Christine Murad Cosmin Munteanu Systems Design Engineering University of Waterloo Department of Computer Science Carleton University

ISBN: (数字)9798331514846

ISBN: (纸本)9798331525637

Virtual reality (VR) locomotion techniques are commonly known as the ability to navigate or move in virtual spaces. With the increasing VR applications for older adults (OAs), locomotion techniques become increasingly important for their experience, especially since many VR applications aim to support healthy aging. Yet, we do not know whether the commonly used locomotion techniques in VR are suitably designed for OAs. As a first step toward understanding this, we conducted a scoping review of VR literature in two databases (ACM Library and IEEE Xplore). We employed the PRISMA method to identify papers that includes empirical studies and head mounted display (HMD) VR applications intended for OAs. The search returned 399 papers, and 47 papers were selected after 2 rounds of screening. The analysis of these papers shows that motion-based and room scale-based locomotion techniques are most common in VR applications for OAs. However, we also found a lack of formal evaluation of how suitable the common VR locomotion techniques are for OAs – a gap that needs addressing in order to improve the accessibility of VR for older users.

关键词： Three-dimensional displays Reviews Databases Navigation Virtual reality Resists Medical services User interfaces Libraries Older adults

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Feasible Force Set Shaping for a Payload-Carrying Platform Consisting of Tiltable Multiple UAVs Connected Via Passive Hinge Joints

arXiv

引用

arXiv 2025年

作者： Ito, Takumi Kawashima, Hayato Funada, Riku Sampei, Mitsuji Department of Systems and Control Engineering Institute of Science Tokyo Tokyo152-8550 Japan

This paper presents a method for shaping the feasible force set of a payload-carrying platform composed of multiple Unmanned Aerial Vehicles (UAVs) and proposes a control law that leverages the advantages of this shaped force set. The UAVs are connected to the payload through passively rotatable hinge joints. The joint angles are controlled by the differential thrust produced by the rotors, while the total force generated by all the rotors is responsible for controlling the payload. The shape of the set of the total force depends on the tilt angles of the UAVs, which allows us to shape the feasible force set by adjusting these tilt angles. This paper aims to ensure that the feasible force set encompasses the required shape, enabling the platform to generate force redundantly—meaning in various directions. We then propose a control law that takes advantage of this redundancy. Copyright © 2025, The Authors. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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A distributed algorithm with network-independent step-size and event-triggered mechanism for economic dispatch problem

A distributed algorithm with network-independent step-size a...

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作者： Chen, Baitong Yang, Jianhua Lu, Wei Pedrycz, Witold Sun, Changhai School of Control Science and Engineering Dalian University of Technology Dalian China Department of Electrical and Computer Engineering University of Alberta EdmontonABT6G 2R3 Canada Institute of Systems Engineering Macau University of Science and Technology SARTaipa 999078 China Research Center of Performance and Productivity Analysis Istinye University Istanbul Turkey School of Electrical Engineering Dalian University of Technology Dalian China

The economic dispatch problem (EDP) poses a significant challenge in energy management for modern power systems, particularly as these systems undergo expansion. This growth escalates the demand for communication resources and increases the risk of communication failures. To address this challenge, we propose a distributed algorithm with network-independent step sizes and an event-triggered mechanism, which reduces communication requirements and enhances adaptability. Unlike traditional methods, our algorithm uses network-independent step sizes derived from each agent's local cost functions, thus eliminating the need for detailed network topology knowledge. The theoretical derivation identifies a range of step size values that depend solely on the objective function's strong convexity and the gradient's Lipschitz continuity. Furthermore, the proposed algorithm is shown to achieve a linear convergence rate, assuming the event triggering threshold criteria are met for linear convergence. Numerical experiments further validate the effectiveness and advantages of our proposed distributed algorithm by demonstrating its ability to maintain good convergence characteristics while reducing communication frequency. © 2024 John Wiley & Sons Ltd.

关键词： Cost functions

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