- UAV Applications and Optimization
- Air Traffic Management and Optimization
- Robotic Path Planning Algorithms
- Distributed Control Multi-Agent Systems
- Robotics and Sensor-Based Localization
- Orbital Angular Momentum in Optics
- Autonomous Vehicle Technology and Safety
- Mobile Ad Hoc Networks
- Electrohydrodynamics and Fluid Dynamics
- Opportunistic and Delay-Tolerant Networks
- IoT and Edge/Fog Computing
- Stochastic Gradient Optimization Techniques
- Laser-induced spectroscopy and plasma
- Laser Material Processing Techniques
- Reinforcement Learning in Robotics
- Probabilistic and Robust Engineering Design
- Aerospace and Aviation Technology
- Welding Techniques and Residual Stresses
- Remote Sensing and Land Use
- Vehicle Routing Optimization Methods
- Adaptive Dynamic Programming Control
- Random lasers and scattering media
- Advanced Neural Network Applications
- Physical Activity and Health
- Vehicular Ad Hoc Networks (VANETs)
San Diego State University
2019-2025
Beijing Jiaotong University
2023
Polytechnic University of Turin
2023
Huazhong University of Science and Technology
2023
Shanghai Jiao Tong University
2023
Xidian University
2023
Hebei University of Technology
2022-2023
Texas A&M University
2017-2023
Chinese Academy of Sciences
2015-2023
Universidad de Sevilla
2023
Mobility models serve as the foundation for evaluating and designing airborne networks (ANs). Due to significant impact of mobility on networking performance, must realistically capture attributes ANs. In this paper, we present a comprehensive survey comparative analysis that are either adapted or developed AN evaluation purposes. We evaluate these based following metrics: adaptability, ability ANs (including high mobility, mechanical aerodynamic constraint, safety requirements). To provide...
Abstract. Trees can significantly impact the urban air chemistry by uptake and emission of reactive biogenic volatile organic compounds (BVOCs), which are involved in ozone particle formation. Here we present potentials "constitutive" (cBVOCs) "stress-induced" BVOCs (sBVOCs) from dominant broadleaf woody plant species megacity Beijing. Based on municipal tree census cuvette BVOC measurements leaf level, built an inventory emissions, assessed potential secondary aerosol (SOA) formation 2005...
In many unmanned aerial vehicle (UAV) applications such as land assessment, search and rescue, precision agriculture, UAVs are often required to survey multiple spatially distributed regions. To perform these applications, one of the key steps is plan path for UAV quickly cover all The new planning problem explored here, which we call TSP-CPP problem, can be viewed an integration traveling salesman (TSP) coverage (CPP) has not been well studied in literature. this paper, conduct a systematic...
Unmanned aircraft systems (UASs) have gained great popularity in land monitoring, 3-D mapping, search and rescue, among others. Existing studies on UAS path planning these missions consider only a single region to be examined. However, it is frequently encountered that multiple regions need considered while performing real life mission. How design the optimal for cover then critical. From strategical point of view, such problem can as variant traveling salesman (TSP) combined enhanced with...
In recent years, we have witnessed a growing use of unmanned aerial vehicles (UAVs) in variety civil, commercial and military applications. Among these applications, many require the UAVs to scan or survey one more regions, such as land monitoring, disaster assessment, search rescue. To realize path planning is key step. Although coverage (CPP) problem for single region has been extensively studied literature, CPP multiple regions gained much less attention. This multi-regional can be...
The most widely used high power industrial lasers are the Nd:YAG and CO2 lasers. chemical oxygen iodine laser (COIL), whose wavelength (1.315 μm) is between that of (1.06 (10.6 lasers, another for applications. cutting capability these investigated in this paper. cut depth strongly depends on absorptivity material, kerf width speed. an unknown parameter which experimental data at temperatures currently unavailable. Theoretical values absorptivities various metals obtained using Hagen-Ruben...
In this paper, we design and implement a long-range broadband aerial communication system using directional antennas (ACDA). The integrates Wi-Fi devices with networks to quickly establish infrastructure in the air, which provides real-time capability for disasters where fixed does not exist. ACDA utilizes unmanned vehicle (UAV)-carried extend range, increase throughput, reduce interference. A GPS-based control algorithm is designed implemented automatically reject wind disturbance align...
Autonomous driving has attracted significant attention in recent years. With the booming of artificial intelligence (AI), deep learning technologies have been applied to autonomous help vehicles better perceive environment. Besides perceiving environment, predictive is another prominent smooth control and safe skill for human drivers. In this work, we develop a Monte Carlo Tree Search (deep-MCTS) method vision-based driving. Compared with existing learning-based methods, our can predict...
Modern large-scale infrastructure systems have typical complicated structure and dynamics, extensive simulations are required to evaluate their performance. The probabilistic collocation method (PCM) has been developed effectively simulate a system's performance under parametric uncertainty. In particular, it allows reduced-order representation of the mapping between uncertain parameters system measures/outputs, using only limited number simulations; resultant original is provably accurate...
Extreme Edge Computing (EEC) promotes sustainable computing by reducing reliance on centralized data centres and decreasing their environmental impact. By using extreme edge devices to handle requests, the EEC reduces energy demands for transmission execution, thereby carbon footprints. However, introduces challenges due mobile, heterogeneous, resource-limited nature of these devices. Additionally, tasks are often complex interdependent, complicating offloading workload orchestration. The...
This study presents a new approach for classification of building type in complex urban scene. The consists two parts: extended multiresolution segmentation (EMRS) and soft using BP network (SBP). technology scheme is referred to here as EMRS-SBP. EMRS used guide the design descriptor. A descriptor feature expression or symbolized algorithm systematically promote expressing capability image features. classifier can perform far better discern pattern combining pixels working an EMRS-based...
To support an increasing number of commercial multi‐unmanned aerial vehicle (UAV) applications, robust UAV‐to‐UAV communication is critical. A promising solution using directional antennas (ACDA), with features like long distance, low power consumption, broad bandwidth, and interference rejection. Nevertheless, ACDA requires the automatic alignment antennas, which not easy to achieve considering imperfect environment unknown in advance limited sensing devices onboard due constrained payloads...
In recent years, we have witnessed the significant growth of interest in using unmanned aerial vehicles (UAVs) to facilitate civilian and commercial applications. To design future UAV systems applications, advanced functions require powerful on-board computing capability. Nevertheless, most existing were designed separately there is a lack general framework exploit airborne for all functions. this article, present comprehensive study address issue with goal adopt UAV-based unified way....
Hybrid beamforming (HB) is a promising technology for the millimeter-wave (mmWave) massive multiple-input-multiple-output (MIMO) system, which supplies high data capacity with low complexity next-generation communication systems. However, joint design of digital and analog beamformer non-convex optimization problem due to hardware constraints shifter arrays. To address this issue, we proposed an intelligent HB method based on autoencoder (AE) neural network in paper. By mapping system AE...
To design and evaluate airborne networks (ANs), it is crucial to utilize random mobility models (RMMs) that capture the physical movement patterns of different aerial vehicles in real scenarios. Compared expensive flight field tests, RMM-based modeling, simulation, emulation cost-effective with a large set RMM-generated trajectories. Despite importance RMMs, we notice most existing focus on 2-D movement, do not consider temporal 3-D spatial correlation patterns. In this paper, propose...
In recent years, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">coded distributed computing</i> (CDC) has attracted significant attention, because it can efficiently facilitate many delay-sensitive computation tasks against unexpected latencies in computing systems. Despite such a salient feature, design challenges and opportunities remain. this paper, we focus on practical systems with heterogeneous resources, novel CDC approach, called...
We report the threshold emission characteristics of lasing from microdroplets that consist Rhodamine 6G dye in an ethanol solution contains undoped polystyrene latex spheres. The addition particles to droplets suppresses lasing. Our findings indicate that, for a fixed concentration and pump intensity, ceases when certain total-threshold particle surface area is reached droplet, independent size. A possible explanation these Förster-assisted annihilation levels, facilitated by adsorption...