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41st IEEE/AIAA Digital Avionics systems Conference, DASC 2022

作者： Wang, Zhe Han, Ruixuan Li, Hongxiang Knoblock, Eric J. Apaza, Rafael D. Gasper, Michael R. University of Louisville Dept. of Electrical and Computer Engineering LouisvilleKY United States Nasa Glenn Research Center Communications and Intelligent Systems Division ClevelandOH United States

ISBN: (数字)9781665486071

ISBN: (纸本)9781665486071

This paper studies the Multiple Sources and Multiple Destinations (MSMD) routing problem in a dynamic Air-to-Air Ad-hoc Network (AAAN). We consider a spectrum-limited scenario where multiple links have to share the same frequency channel so that co-channel interference becomes inevitable. As a result, routing decisions and spectrum access are coupled and must be jointly considered. This paper proposes a deep Q-learning-based algorithm to find an optimal routing and channel selection strategy that minimizes the end-to-end communication delay. Specifically, under the assumption that only local information is available to every node, the Deep Q-Network (DQN) is trained offline to learn the optimal routing and channel selection strategy. After the trained DQN is implemented in every node, multiple relay nodes can simultaneously determine their next-hop relay and channel selections in real-time. Simulation results demonstrate the efficacy of our proposed algorithm. © 2022 IEEE.

关键词： Reinforcement learning

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Event-Triggered Safety-Critical Control for systems with Unknown Dynamics

Event-Triggered Safety-Critical Control for Systems with Unk...

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IEEE Conference on Decision and Control

作者： Wei Xiao Calin Belta Christos G. Cassandras Division of Systems Engineering and Center for Information and Systems Engineering Boston University Brookline MA USA

ISBN: (纸本)9781665436601

This paper addresses the problem of safety-critical control for systems with unknown dynamics. It has been shown that stabilizing affine control systems to desired (sets of) states while optimizing quadratic costs subject to state and control constraints can be reduced to a sequence of quadratic programs (QPs) by using Control Barrier Functions (CBFs) and Control Lyapunov Functions (CLFs). Our recently proposed High Order CBFs (HOCBFs) can accommodate constraints of arbitrary relative degree. One of the main challenges in this approach is obtaining accurate system dynamics, which is especially difficult for systems that require online model identification given limited computational resources and system data. In order to approximate the real unmodeled system dynamics, we define adaptive affine control dynamics which are updated based on the error states obtained by real-time sensor measurements. We define an HOCBF for a safety requirement on the unmodeled system based on the adaptive dynamics and error states, and reformulate the safety-critical control problem as the above mentioned QP. Then, we determine the events required to solve the QP in order to guarantee safety, and derive a condition that guarantees the satisfaction of the HOCBF constraint between events. We illustrate the effectiveness of the proposed framework on adaptive cruise control and compare it with the classical time-driven approach.

关键词： Adaptive systems Costs System dynamics Conferences Measurement uncertainty Real-time systems Data models

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HealthEdge: A Machine Learning-Based Smart Healthcare Framework for Prediction of Type 2 Diabetes in an Integrated IoT, Edge, and Cloud Computing System 14

HealthEdge: A Machine Learning-Based Smart Healthcare Framew...

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14th International Conference on Ambient systems, Networks and Technologies Networks, ANT 2023 and The 6th International Conference on Emerging Data and Industry 4.0, EDI40 2023

作者： Hennebelle, Alain Materwala, Huned Ismail, Leila Melbourne Australia Research Laboratory Department of Computer Science and Software Engineering College of Information Technology United Arab Emirates University United Arab Emirates National Water and Energy Center United Arab Emirates University United Arab Emirates Lab School of Computing and Information Systems The University of Melbourne Australia

Diabetes Mellitus has no permanent cure to date and is one of the leading causes of death globally. The alarming increase in diabetes calls for the need to take precautionary measures to avoid/predict the occurrence of diabetes. This paper proposes HealthEdge, a machine learning-based smart healthcare framework for type 2 diabetes prediction in an integrated IoT-edge-cloud computing system. Numerical experiments and comparative analysis were carried out between the two most used machine learning algorithms in the literature, Random Forest (RF) and Logistic Regression (LR), using two real-life diabetes datasets. The results show that RF predicts diabetes with 6% more accuracy on average compared to LR. © 2023 Elsevier B.V.. All rights reserved.

关键词： Edge computing

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Secure and resilient improved image steganography using hybrid fuzzy neural network with fuzzy logic

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Journal of Safety Science and Resilience 2024年第1期5卷 91-101页

作者： Sachin Dhawan Hemanta Kumar Bhuyan Subhendu Kumar Pani Vinayakumar Ravi Rashmi Gupta Arun Rana Alanoud Al Mazroa Dorset College King George BlvdSurreyBritish ColumbiaCanada Department of Information Technology Vignan’s Foundation for ScienceTechnology and Research(Deemed to be University)Andhra PradeshIndia Krupajal Computer Academy Biju Patnaik University of Technology(BPUT)Rourkela 751002India Center for Artificial Intelligence Prince Mohammad Bin Fahd UniversityKhobarSaudi Arabia NSUT East Campus(Formerly AIACTRDelhi 110031India(Affiliated to Guru Gobind Singh Inderaprastha University))Dwarka 110078India Department of Computer Science and Engineering Galgotias College of Engineering and Technology Greater Noida 201310Uttar PradeshIndia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman University(PNU)P.O.Box 84428Riyadh 11671Saudi Arabia

The exponential growth in communication networks,data technology,advanced libraries,and mainly World Wide Web services has played a pivotal role in facilitating the retrieval of various types of information as ***,this progress has also led to security concerns related to the transmission of confidential ***,safeguarding these data during communication through insecure channels is crucial for obvious *** emergence of steganography offers a robust approach to concealing confidential information,such as images,audio tracks,text files,and video files,in suitable media carriers.A novel technique is envisioned based on back-propagation *** to the proposed method,a hybrid fuzzy neural network(HFNN)is applied to the output obtained from the least significant bit substitution of secret data using pixel value dif-ferences and exploiting the modification *** simulation and test results,it has been observed that the proposed methodology achieves secure steganography and superior visual *** the experiments,we observed that for the secret image of the cameraman,the PSNR&MSE values of the proposed technique are 61.963895 and 0.041361,respectively.

关键词： Image enhancement Image processing Steganography Deep learning Fuzzy neural combination

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The Effect of Contextual information on the Personalization Features of Learning in the Online Learning Recommendation System 2

The Effect of Contextual Information on the Personalization ...

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2nd International Conference on Computing and information Technology, ICCIT 2022

作者： Murad, Dina Fitria Hassan, Rosilah Murad, Silvia Ayunda Bina Nusantara University BINUS Online Learning Information Systems Department Jakarta Indonesia Center for Cyber Security Universiti Kebangsaan Malaysia Faculty of Information Science Technology Bangi43600 Malaysia Faculty of Engineering Information Technology Department Tangerang Indonesia

ISBN: (纸本)9781665436052

Online learning, especially in higher education, is getting more attention in many countries in the past ten years as it provides several advantages to the learners including time and space learning flexibility. Student engagement in online learning has an important factor for the student to complete their study program and achieve their planned learning objective. Unlike in classroom learning, online learning does not provide resources such as instructor to maintain student engagement but Learning Management System (LMS). One approach to increase student engagement is by personalizing learning materials managed automatically by LMS. This paper presents experimental results on using context-sensitive recommender systems embedded in LMS to increase student engagement in online learning by personalizing recommended learning materials to the targeted students. The proposed LMS which adapts to student learning progress, recommendations are personalized by using student contextual information to make the generated recommendation fits the student learning progress. The results of this study indicate that contextual information as an additional feature of the student profile increases the correlation between the actual grade and the prediction grade using user-collaborative filtering. © 2022 IEEE.

关键词： Recommender systems

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Maritime Object Detection based on YOLOx for Aviation Image

Maritime Object Detection based on YOLOx for Aviation Image

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2022 International Conference on Artificial Intelligence and Computer information Technology, AICIT 2022

作者： Wang, Yuan Yuan, Haiwen Li, Yongshuai Zhang, Bulin Wuhan Institute of Technology School of Electrical and Information Engineering Wuhan China Wuhan University of Technology Intelligent Transportation Systems Research Center Wuhan China Shandong Jiaotong University Institute of Ocean Information Technology Weihai China

ISBN: (数字)9781665450874

ISBN: (纸本)9781665450874

Accurate detection of ships in maritime scenarios is conducive to improving transport efficiency and reducing the occurrence of maritime traffic accidents. However, ships under the drone perspective are small and have various scale variations, affecting the detection algorithms. Aiming at this problem, this paper proposes a maritime object detection method based on YOLOx. First, the ship data in the maritime scenario is processed and screened to form a self-built dataset. Then, the retrained YOLOx model is used to detect ships in maritime scenarios. Finally, on the self-built dataset, centerNet, YOLOv3, and YOLOv4 are used to conduct a comparative experiment with this method. Through the results of the comparative experiments, it is found that the detection accuracy of YOLOx is the best, reaching 90.86&. The method helps to promote the development of the application of drones in maritime scenarios. © 2022 IEEE.

关键词： Ships

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IoT Ethics - Status Quo and Directions for Further Research 42

IoT Ethics - Status Quo and Directions for Further Research

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42nd International Conference on information systems: Building Sustainability and Resilience with IS: A Call for Action, ICIS 2021 TREOs

作者： Bayer, Sarah FIM Research Center University of Augsburg Project Group Business & Information Systems Engineering of the Fraunhofer FIT Germany

ISBN: (纸本)9781713893608

As one of the most disruptive technology, IoT spreads in numerous areas of our lives and its potential is estimated with enormously high digits. Although discussions about ethics of emerging technologies are at the forefront, e.g., for artificial intelligence, IoT specific ethical considerations remain crucial, but scarce. Based on a structured literature review, this research identifies and structures ethical issues of IoT, provides an overview of the current state of research for each aspect, and relates each aspect to IoTs features. Based on these results, concrete options for further research are provided, including suggestions for an examination of the transferability of known ethical issues from other technologies to IoT, identification of further ethical issues based on features and applications of IoT, a thorough examination of know ethical issues, and a positive view on IoT ethics. The results raise awareness for an intense examination of IoT ethics in research and practice. © 2021 42nd International Conference on information systems, ICIS 2021 TREOs: "Building Sustainability and Resilience with IS: A Call for Action". All Rights Reserved.

关键词： Internet of things

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Generation of arbitrary high-dimensional qudit-based entangled states

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Physical Review A 2025年第3期111卷 032604-032604页

作者： Fang-Fang Du Ming Ma Zhuo-Ya Bai Qiu-lin Tan Key Laboratory of Microano Devices and Systems Ministry of Education North University of China Tai Yuan 030051 China Beijing National Research Center for Information Science and Technology Department of Electronic Engineering Tsinghua University Beijing 100084 China

The generation of a high-dimensional quantum entangled state provides a crucial resource for achieving more complex and diverse quantum information processing tasks. In this paper, we present two deterministic protocols designed for the generation of a four-dimensional two-qudit Bell state and three-qudit Greenberger-Horne-Zeilinger (GHZ) state assisted by cross-Kerr nonlinearity, where the four-dimensional qudit is encoded in the hybrid polarization-spatial state of the single photon to conserve quantum resources and alleviate environmental noise. The proposed protocols for generating a four-dimensional two-qudit Bell state and three-qudit GHZ state are circuit concise, high success, robust fidelity, noise resistant, and resource saving. Moreover, the four-dimensional N-qudit (N>3) GHZ states can be generated with the help of the N−1 generating devices of the four-dimensional Bell state. Consequently, its efficiency and fidelity decay exponentially by a factor of N−1. Further, the arbitrary high-dimensional qudit-encoded entangled states can be achieved with linear-optics four-dimensional single-qudit X gates and Z gates. These protocols offer a reference for further advancements in high-dimensional state generation technology and providing insights for the practical implementations of metrological enhancement, quantum simulation, high-dimensional quantum computation, and quantum error correction.

关键词： Quantum entanglement

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Collision Avoidance Path Planning of Nuclear Robot with Dual Manipulators

Collision Avoidance Path Planning of Nuclear Robot with Dual...

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2021 International Conference on Networking systems of AI, INSAI 2021

作者： Liu, Xiangjun Sun, Chenyang Xiao, Linjunhao Shen, Runjie Tongji University College of Electronic and Information Engineering Shanghai China Tongji University Sino-German Center of Intelligent Systems and College of Electronic and Information Engineering Shanghai China

ISBN: (纸本)9781665408592

Aiming at the requirement of collision-free and precise synchronized kinematics autonomous coordinated control of the dual-manipulator heavy-duty robot in carrying, grasping and dismantling operations, this paper studied the method of collision avoidance path planning in the dual-manipulator operation. The dual mechanical arm is an important part of the system, and its working state is directly related to the stability and reliability of the entire system. In this paper, we used the improved DH method to mathematically model the position and posture of the dual robotic arms. Under the robot operating system, we adopted Moveit! to control the movement towards the robotic arms. Finally, under obstacles at different distances, we simulated the improved fusion algorithm and compared it with the existing artificial potential field method and RRT? algorithm. The experimental results show that the improved fusion algorithm has better path planning effect and can make the robot arm reach the goal smoothly along the path of the least cost without collision. © 2021 IEEE.

关键词： Motion planning

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Two-Dimensional Thermal Regulation Based on Non-Hermitian Skin Effect

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Chinese Physics Letters 2023年第10期40卷 83-88页

作者：黄强开来刘云开曹培超祝雪丰李鹰 Interdisciplinary Center for Quantum Information State Key Laboratory of Extreme Photonics and InstrumentationZJU-Hangzhou Global Scientific and Technological Innovation CenterCollege of Information Science&Electronic EngineeringZhejiang UniversityHangzhou 310027China International Joint Innovation Center The Electromagnetics Academy at Zhejiang UniversityZhejiang UniversityHaining 314400China Key Laboratory of Advanced Micro/Nano Electronic Devices&Smart Systems of Zhejiang Jinhua Institute of Zhejiang UniversityZhejiang UniversityJinhua 321099China Shaoxing Institute of Zhejiang University Zhejiang UniversityShaoxing 312000China School of Physics and Innovation Institute Huazhong University of Science and TechnologyWuhan 430074China

The non-Hermitian skin effect has been applied in multiple ***,there are relatively few models in the field of thermal diffusion that utilize the non-Hermitian skin effect for achieving thermal ***,we propose two non-Hermitian Su-Schrieffer-Heeger(SSH)models for thermal regulation:one capable of achieving edge states,and the other capable of achieving corner states within the thermal *** analyzing the energy band structures and the generalized Brillouin zone,we predict the appearance of the non-Hermitian skin effect in these two ***,we analyze the time-dependent evolution results and assess the robustness of the *** results indicate that the localized thermal effects of the models align with our *** a word,this work presents two models based on the non-Hermitian skin effect for regulating the thermal field,injecting vitality into the design of non-Hermitian thermal diffusion systems.

关键词： Hermitian Skin utilize

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