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IEEE Conference on Decision and Control

作者： Shinkyu Park Julian Barreiro-Gomez Electrical and Computer Engineering King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia NYUAD Research Institute New York University Abu Dhabi Abu Dhabi United Arab Emirates

We investigate a multi-agent decision-making problem where a large population of agents is responsible for carrying out a set of assigned tasks. The amount of jobs in each task varies over time governed by a dynamical system model. Each agent needs to select one of the available strategies to take on one or more tasks. Since each strategy allows an agent to perform multiple tasks at a time, possibly at distinct rates, the strategy selection of the agents needs to be coordinated. We formulate the problem using the population game formalism and refer to it as the task allocation game. We discuss the design of a decision-making model that incentivizes the agents to coordinate in the strategy selection process. As key contributions, we propose a method to find a payoff-driven decision-making model, and discuss how the model allows the strategy selection of the agents to be responsive to the amount of remaining jobs in each task while asymptotically attaining the optimal strategies. Leveraging analytical tools from feedback control theory, we derive technical conditions that the model needs to satisfy, which are used to construct a numerical approach to compute the model. We validate our solution through simulations to highlight how the proposed approach coordinates the agents in task allocation games.

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Distributed Multi-Robot Multi-Target Tracking Using Heterogeneous Limited-Range Sensors

arXiv

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arXiv 2023年

作者： Chen, Jun Abugurain, Mohammed Dames, Philip Park, Shinkyu The School of Electrical and Automation Engineering Nanjing Normal University Jiangsu Nanjing210023 China The Computer Electrical and Mathematical Science and Engineering Division King Abdullah University of Science and Technology Thuwal23955 Saudi Arabia The Department of Mechanical Engineering Temple University PhiladelphiaPA19122 United States

This paper presents a cooperative multi-robot multitarget tracking framework aimed at enhancing the efficiency of the heterogeneous sensor network and, consequently, improving overall target tracking accuracy. The concept of normalized unused sensing capacity is introduced to quantify the information a sensor is currently gathering relative to its theoretical maximum. This measurement can be computed using entirely local information and is applicable to various sensor models, distinguishing it from previous literature on the subject. It is then utilized to develop a distributed coverage control strategy for a heterogeneous sensor network, adaptively balancing the workload based on each sensor's current unused capacity. The algorithm is validated through a series of ROS and MATLAB simulations, demonstrating superior results compared to standard approaches that do not account for heterogeneity or current usage rates. Copyright © 2023, The Authors. All rights reserved.

关键词： Multipurpose robots

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Flexible and reconfigurable radio frequency electronics realized by high-throughput screen printing of vanadium dioxide switches

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Microsystems & Nanoengineering 2020年第1期6卷 369-380页

作者： Weiwei Li Mohammad Vaseem Shuai Yang Atif Shamim IMPACT Lab ComputerElectrical and Mathematical Sciences and Engineering(CEMSE)DivisiornKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Kingdom of Saudi Arabia

Smart materials that can change their properties based on an applied stimulus are in high demand due to their suitability for reconfigurable electronics,such as tunable filters or *** particular,materials that undergo a metal–insulator transition(MIT),for example,vanadium dioxide(VO 2)(M),are highly attractive due to their tunable electrical and optical properties at a low transition temperature of 68°*** deposition of this material on a limited scale has been demonstrated through vacuum-based fabrication methods,its scalable application for large-area and high-volume processes is still *** printing can be a viable option because of its high-throughput fabrication process on flexible *** this work,we synthesize high-purity VO 2(M)microparticles and develop a screen-printable VO 2 ink,enabling the large-area and high-resolution printing of VO 2 switches on various *** electrical properties of screen-printed VO 2 switches at the microscale are thoroughly investigated under both thermal and electrical stimuli,and the switches exhibit a low ON resistance of 1.8 ohms and an ON/OFF ratio of more than *** electrical performance of the printed switches does not degrade even after multiple bending cycles and for bending radii as small as *** a proof of concept,a fully printed and mechanically flexible band-pass filter is demonstrated that utilizes these printed switches as reconfigurable *** on the ON and OFF conditions of the VO 2 switches,the filter can reconfigure its operating frequency from 3.95 to 3.77 GHz without any degradation in performance during bending.

关键词： dioxide vanadium bending

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UAV-RIS-Aided Energy-Efficient and QoS-Aware Emergency Communications Based on DRL

UAV-RIS-Aided Energy-Efficient and QoS-Aware Emergency Commu...

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IEEE Conference on Vehicular technology (VTC)

作者： Jiawei Hu Ying Ju Haoyu Wang Lei Liu Qingqi Pei Y. G. Shee Xiaojie Zhu Celimuge Wu Guangzhou Institute of Technology Xidian University Guangzhou China Department of Electrical Engineering and Computer Science University of California Irvine CA USA Shaanxi Key Laboratory of Information Communication Network and Security Xi’an University of Posts Telecommunications Xi’an China Department of Electrical and Electronic Engineering Universiti Tunku Abdul Rahman Kajang Malaysia Department of Computer Electrical and Mathematical Sciences and Engineering King Abdullah University of Science and Technology Thuwal Saudi Arabia Graduate School of Informatics and Engineering The University of Electro-Communications Tokyo Japan

ISBN: (数字)9798331517786

ISBN: (纸本)9798331517793

Ensuring reliable communication can be incredibly challenging in emergencies due to the breakdown of conventional infrastructure. However, a promising solution is on the horizon: the integration of reconfigurable intelligent surfaces (RIS) onto unmanned aerial vehicles (UAV), known as UAV-RIS. This innovative approach holds the potential to offer agile and adaptable communication services during crises, overcoming the limitations of traditional systems. This paper establishes an innovative UAV-RIS system with an active RIS to enhance the uplink communication between ground devices (GDs) and the air base station (ABS). We present an advanced communication strategy utilizing deep reinforcement learning (DRL) for UAV-RIS-supported uplink communication in dynamic emergencies. This scheme is designed to optimize the energy efficiency of the UAV-RIS communication system while adhering to quality of service (QoS) constraints for all GDs. It achieves this by jointly optimizing the trajectory of the UAV-RIS and the phase of the active RIS, ensuring efficient and reliable communication in challenging environments. To optimize the performance of the system, we propose a hierarchical Proximal Policy Optimization (H-PPO) algorithm and the upper and lower layers of H-PPO optimize the trajectory and phase control, respectively. Simulation results demonstrate that our scheme can effectively learn the communication strategy to enhance the performance of dynamic emergency communication networks.

关键词： Vehicular and wireless technologies Simulation Quality of service Phase control Reconfigurable intelligent surfaces Autonomous aerial vehicles Energy efficiency Trajectory Uplink Vehicle dynamics

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Ultralow-power receivers: Overcoming battery limitations to facilitate self-powered operation

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IEEE Solid-State Circuits Magazine 2021年第3期13卷 33-37页

作者： Wentzloff, David D. Alghaihab, abdullah Im, Jaeho Abdelatty, Omar Odelberg, Trevor Electrical engineering and computer science University of Michigan Ann Arbor Michigan USA Electrical engineering King Saud University Riyadh Saudi Arabia Department of Military Science Technology Republic of Korea Army Training and Doctrine Command Seoul South Korea Electrical engineering University of Michigan Ann Arbor Michigan USA Electrical and computer engineering University of Michigan Ann Arbor Michigan USA

Fast forward to a world with 1 trillion wirelessly connected devices in which pervasive computing impacts every aspect of our lives. Now imagine that each of those devices operates on a battery that lasts an average of three years, which is very generous considering that most of today's Internet of Things (IoT) devices have batteries with much shorter lives. In that world, we would be changing 1 billion batteries per day just to maintain the network of devices. Setting aside for the moment the environmental impact of battery disposal at that scale, nobody wants to take on the battery maintenance problem. Today, this is what limits the mass adoption of IoT solutions. It is why factories have not installed monitors on their 10,000 assets and why shipping companies do not embed real-time tracking in every package label. When you examine the power consumption of IoT devices over their lifetime, most of the energy is used for wireless communication; of that electricity, a large amount is spent on network synchronization rather than transmitting data. This calls for better networking solutions to enable massive scales of devices and ultralow-power (ULP) radios to enable self-powered operation, eliminating the battery and, therefore, the maintenance problem.

关键词： Wireless communication Pervasive computing Power demand Maintenance engineering Real-time systems Production facilities Batteries Low power electronics

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Forgetting User Preference in Recommendation Systems with Label-Flipping

Forgetting User Preference in Recommendation Systems with La...

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IEEE International Conference on Big Data

作者： Manal A. Alshehri Xiangliang Zhang Computer Science CEMSE King Abdullah University of Science and Technology (KAUST) Thuwal Kingdom of Saudi Arabia Faculty of Computing and Information Technology King Abdulaziz University Rabigh Kingdom of Saudi Arabia Department of Computer Science and Engineering University of Notre Dame Notre Dame USA

Recommendation systems play a crucial role in identifying users’ preferences based on their historical interaction records and those of other users. However, the ability to “forget” certain users’ preferences is indispensable for ensuring user privacy and maintaining recommendation accuracy. It is essential to accommodate a user’s request to exclude their behavioral data from the recommendation system when necessary. Likewise, if certain data corrupts the system, its impact should be removed to restore system performance. In this paper, we propose FlipRec, a general and efficient framework for recommendation models to “forget” the preferences of specific users while retaining the model’s performance for all other users. Our concept of forgetting user preferences is inspired by the label-flipping attack, a technique where the labels of some training samples are inverted to adversarially manipulate the weights of the trained model. FlipRec adjusts the recommendation model weights to forget the targeted users by flipping their interaction records $y \in \{ 0,1\}$. To preserve the model’s performance for the remaining users, we augment the fine-tuning data with samples from users who have interacted with the same items as the targeted users. This ensures minimal impact on these users during the “forgetting” process. FlipRec has been validated on both contentbased recommendation models and collaborative filtering models. The experimental results show that FlipRec outperforms stateof-the-art unlearning methods in terms of efficiency, the ability to forget targeted users, and the preservation of performance for the remaining users.

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A collision model for very flexible Cosserat rods and immersed-boundary fluid–structure coupling

arXiv

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arXiv 2025年

作者： Löhrer, Bastian Krause, Rolf Fröhlich, Jochen Institute of Fluid Mechanics Technische Universität Dresden Dresden Germany Euler Institute Università della Svizzera italiana Lugano Switzerland Division Computer Electrical and Mathematical Sciences and Engineering King Abdullah University of Science and Technology Thuwal Saudi Arabia

The paper presents a constraint-based collision model for Cosserat rods, able to handle dynamic or static contact between a large number of highly flexible structures. The model provides the required collision impulses prior to updating the solution of the rods, with the impulses accounted for as external loads. The procedure avoids the need to modify the structure solver itself and circumvents any iteration between the collision model and the solver for the Cosserat rods, maintaining the efficiency of any chosen Cosserat solver. The collision model is adopted from Tschisgale et al. (Arch. Appl. Mech., 2019) and extended towards higher stability, which is found necessary in the case of very flexible rods. Furthermore, the model is supplemented with additional terms that arise when the colliding rods are immersed in a fluid. The latter is accounted for by an immersed-boundary method. A large number of tests are conducted to demonstrate the functionality of the final model. © 2025, CC BY.

关键词： Aerodynamics

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α1,3-fucosylation treatment improves cord blood CD34 negative hematopoietic stem cell navigation

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iscience 2024年第2期27卷 108882页

作者： Al-Amoodi, Asma S. Kai, Jing Li, Yanyan Malki, Jana S. Alghamdi, abdullah Al-Ghuneim, Arwa Saera-Vila, Alfonso Habuchi, Satoshi Merzaban, Jasmeen S. Bioscience Program Biological and Environmental Sciences and Engineering Division King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia Sequentia Biotech SL Barcelona Spain KAUST Smart-Health Initiative King Abdullah University of Science and Technology Thuwal Saudi Arabia

For almost two decades, clinicians have overlooked the diagnostic potential of CD34neg hematopoietic stem cells because of their limited homing capacity relative to CD34posHSCs when injected intravenously. This has co... 详细信息

For almost two decades, clinicians have overlooked the diagnostic potential of CD34^neg hematopoietic stem cells because of their limited homing capacity relative to CD34^posHSCs when injected intravenously. This has contributed to the lack of appeal of using umbilical cord blood in HSC transplantation because its stem cell count is lower than bone marrow. The present study reveals that the homing and engraftment of CD34^negHSCs can be improved by adding the Sialyl Lewis X molecule via α1,3-fucosylation. This unlocks the potential for using this more primitive stem cell to treat blood disorders because our findings show CD34^negHSCs have the capacity to regenerate cells in the bone marrow of mice for several months. Furthermore, our RNA sequencing analysis revealed that CD34^negHSCs have unique adhesion pathways, downregulated in CD34^posHSCs, that facilitate interaction with the bone marrow niche. Our findings suggest that CD34^neg cells will best thrive when the HSC resides in its microenvironment. © 2024 The Author(s)

关键词： Immunology Stem cells research Transcriptomics

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Skyrmion-based Leaky Integrate and Fire Neurons for Neuromorphic Applications

arXiv

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arXiv 2022年

作者： Lone, Aijaz H. Amara, Selma Aguirre, Fernando Lanza, Mario Fariborzi, H. Computer Electrical and Mathematical Science and Engineering Division King Abdullah University of Science and Technology Saudi Arabia Dept. D'Enginyeria Electronica Universitat Autonoma de Barcelona Spain Physical Science and Engineering Division King Abdullah University of Science and Technology Saudi Arabia

Spintronics is an important emerging technology for data storage and computation. In this field, magnetic skyrmion-based devices are attractive due to their small size and energy consumption. However, controlling the creation, deletion and motion of skyrmions is challenging. Here we propose a novel energy-efficient skyrmion-based device structure, and demonstrate its use as leaky integrate (LIF) and fire neuron for neuromorphic computing. Here we show that skyrmions can be confined by patterning the geometry of the free layer in a magnetic tunnel junction (MTJ), and demonstrate that the size of the skyrmion can be adjusted by applying pulsed voltage stresses. A spiking neural network (SNN) made of such skyrmion-based LIF neurons shows the capability of classifying images from the Modified National Institute of Standards and technology (MNIST) dataset. © 2022, CC BY.

关键词： Neural networks

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An Offline Assistance Tool for Visually Impaired People Based on Image Captioning

An Offline Assistance Tool for Visually Impaired People Base...

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2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

作者： Guo, Yu Chen, Yue Xie, Yuanyan Ban, Xiaojuan Obaidat, Mohammad S. University of Science and Technology Beijing School of Computer and Communication Engineering Beijing China University of Science and Technology Beijing Shunde Innovation School Foshan China School of Intelligence Science and Technology University of Science and Technology Beijing Beijing China Institute of Artificial Intelligence University of Science and Technology Beijing Beijing China Beijing Key Laboratory of Knowledge Engineering for Materials Science Beijing China King Abdullah Ii School of Information Technology University of Jordan Amman Jordan Amity University UP Noida India

ISBN: (纸本)9781665468190

Eye defects of visually impaired people bring great inconvenience to daily lives. With the rapid development of computers and artificial intelligence, some assistance tools and wearable devices have provided convenience to a certain extent, but they still possess many shortcomings, such as high prices, limited functionality, poor real-time performance, the inability to be used offline and so on. This paper designs an offline assistance tool specifically for visually impaired people that can help them perceive their surrounding environments by taking photos and reading the descriptions output by an image captioning model. Considering that the photos taken by visually impaired people may be incomplete, an improved image stitching method based on a genetic algorithm is proposed to obtain high-quality stitched images as the inputs of the image captioning model. An improved model pruning algorithm is also designed to compress and accelerate the image captioning model to meet the offline and real-time deployment requirements of portable devices. Experimental results and a practical tool show that the developed system based on an image captioning model and pruning can quickly and accurately describe environments, thus assisting visually impaired people anytime and anywhere. © 2022 IEEE.

关键词： Genetic algorithms

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