Search Results for author:
Found 26 papers, 1 papers with code
Hierarchical Learning for IRS-Assisted MEC Systems with Rate-Splitting Multiple Access
Intelligent reflecting surface (IRS)-assisted mobile edge computing (MEC) systems have shown notable improvements in efficiency, such as reduced latency, higher data rates, and better energy efficiency.
Optimal Hardening Strategy for Electricity-Hydrogen Networks with Hydrogen Leakage Risk Control against Extreme Weather
However, for electricity-hydrogen distribution networks (EHDNs), the leakage risk of hydrogen should be controlled to avoid severe incidents such as explosions.
Active Target Tracking Using Bearing-only Measurements With Gaussian Process Learning
This paper studies the tracking problem of target with the partially unknown motion model by an active agent with bearing-only measurements using Gaussian process learning.
Modeling, Prediction and Risk Management of Distribution System Voltages with Non-Gaussian Probability Distributions
The deviation of voltage risks obtained by the proposed method is only 15% of that by the methods based on probabilistic prediction of nodal power injections.
Flexible Operation of Electricity-HCNG Networks with Variable Hydrogen Fraction: A Distributionally Robust Joint Chance-Constrained Approach
Hydrogen-enriched compressed natural gas (HCNG) is a promising way to utilize surplus renewable energy through hydrogen electrolysis and blending it into natural gas.
Energy-Efficient Multi-UAV-Enabled MEC Systems with Space-Air-Ground Integrated Networks
With the development of artificial intelligence integrated next-generation communication networks, mobile users (MUs) are increasingly demanding the efficient processing of computation-intensive and latency-sensitive tasks.
UAV-Enabled Data Collection for IoT Networks via Rainbow Learning
This letter considers a scenario where a multi-antenna UAV is dispatched to simultaneously collect data from multiple ground IoT nodes (GNs) within a time interval.
Infinite-Horizon Optimal Wireless Control Over Shared State-Dependent Fading Channels for IIoT Systems
Finally, an algorithm is proposed for the construction of optimal input sequences by minimum-mean cycles for weighted graph.
Joint Association, Beamforming, and Resource Allocation for Multi-IRS Enabled MU-MISO Systems With RSMA
Intelligent reflecting surface (IRS) and rate-splitting multiple access (RSMA) technologies are at the forefront of enhancing spectrum and energy efficiency in the next generation multi-antenna communication systems.
Joint Trading and Scheduling among Coupled Carbon-Electricity-Heat-Gas Industrial Clusters
This paper presents a carbon-energy coupling management framework for an industrial park, where the carbon flow model accompanying multi-energy flows is adopted to track and suppress carbon emissions on the user side.
Enlighten-Your-Voice: When Multimodal Meets Zero-shot Low-light Image Enhancement
Low-light image enhancement is a crucial visual task, and many unsupervised methods tend to overlook the degradation of visible information in low-light scenes, which adversely affects the fusion of complementary information and hinders the generation of satisfactory results.
Resilient Clock Synchronization Architecture for Industrial Time-Sensitive Networking
Time-Sensitive Networking (TSN) is a promising industrial Internet of Things technology.
Hydrogen Supply Infrastructure Network Planning Approach towards Chicken-egg Conundrum
However, there is a strong causality between HFCVs and hydrogen refueling stations (HRSs): the planning decisions of HRSs could affect the hydrogen refueling demand of HFCVs, and the growth of demand would in turn stimulate the further investment in HRSs, which is also known as the ``chicken and egg'' conundrum.
Preserving Topology of Network Systems: Metric, Analysis, and Optimal Design
More importantly, we amend the noise design by introducing one-lag time dependence, achieving the zero state deviation and the non-zero topology inference error in the asymptotic sense simultaneously.
How to Share: Balancing Layer and Chain Sharing in Industrial Microservice Deployment
However, due to the limited resources of edge servers, it is difficult to meet the optimization goals of the two methods at the same time.
Distributionally Robust Day-ahead Scheduling for Power-traffic Network under a Potential Game Framework
In order to ensure the individual optimality of the two networks in a unified framework in day-ahead power scheduling, a two-stage distributionally robust centralized optimization model is established to carry out the equilibrium of power-transportation coupled network.
SVR-based Observer Design for Unknown Linear Systems: Complexity and Performance
The variances of the estimation error and the fluctuations in performance are smaller with a properly-designed parameter $\gamma$ compared with the OLS methods.
I Can Read Your Mind: Control Mechanism Secrecy of Networked Dynamical Systems under Inference Attacks
Considering the latest inference attacks that enable stealthy and precise attacks into NDSs with observation-based learning, this article focuses on a new security aspect, i. e., how to protect control mechanism secrets from inference attacks, including state information, interaction structure and control laws.
Local Topology Inference of Mobile Robotic Networks under Formation Control
We focus on the local topology inference problem of MRNs under formation control, where an inference robot with limited observation range can manoeuvre among the formation robots.
Stochastic Gradient-based Fast Distributed Multi-Energy Management for an Industrial Park with Temporally-Coupled Constraints
Contemporary industrial parks are challenged by the growing concerns about high cost and low efficiency of energy supply.
Asynchronous Decentralized Federated Learning for Collaborative Fault Diagnosis of PV Stations
Therefore, federated learning can be exploited to train a collaborative fault diagnosis model.
Energy Management Based on Multi-Agent Deep Reinforcement Learning for A Multi-Energy Industrial Park
Owing to large industrial energy consumption, industrial production has brought a huge burden to the grid in terms of renewable energy access and power supply.
Industrial Scene Text Detection with Refined Feature-attentive Network
Then, an attentive refinement network is developed by the attention map to rectify the location deviation of candidate boxes.
Distributed Urban Freeway Traffic Optimization Considering Congestion Propagation
Most exiting works develop traffic optimization strategies depending on the local traffic states of congested road segments, where the congestion propagation is neglected.
Sneak Attack against Mobile Robotic Networks under Formation Control
The security of mobile robotic networks (MRNs) has been an active research topic in recent years.
Topology Inference for Network Systems: Causality Perspective and Non-asymptotic Performance
Along with this line, we analyze the non-asymptotic inference performance of the proposed method by taking the OLS estimator as a reference, covering both asymptotically and marginally stable systems.
