A5100707449- Human Motion and Animation
- Human Pose and Action Recognition
- Microbial Natural Products and Biosynthesis
- Advanced Synthetic Organic Chemistry
- Aluminum Alloy Microstructure Properties
- Plant and fungal interactions
- Advanced machining processes and optimization
- Computational Drug Discovery Methods
- Process Optimization and Integration
- Manufacturing Process and Optimization
- Metaheuristic Optimization Algorithms Research
- 3D Shape Modeling and Analysis
- Aluminum Alloys Composites Properties
- Advanced Chemical Sensor Technologies
- Elevator Systems and Control
- Epoxy Resin Curing Processes
- Complex Network Analysis Techniques
- Advanced Manufacturing and Logistics Optimization
- Agricultural Engineering and Mechanization
- Reinforcement Learning in Robotics
- Assembly Line Balancing Optimization
- Cancer Treatment and Pharmacology
- Phytochemistry and biological activity of medicinal plants
- Electrical Fault Detection and Protection
- Optical Wireless Communication Technologies
Beihang University
2023-2024
Second Affiliated Hospital of Chengdu University of Traditional Chinese
2024
Beijing Institute of Technology
2023-2024
First Affiliated Hospital of Anhui Medical University
2021-2024
Anhui Medical University
2021-2024
Beijing Chaoyang Emergency Medical Center
2024
Southeast University
2016-2024
Hohai University
2023
Shenyang University of Chemical Technology
2006-2023
Beijing University of Posts and Telecommunications
2019-2020
We introduce the SceneDiffuser, a conditional generative model for 3D scene understanding. SceneDiffuser provides unified solving scene-conditioned generation, optimization, and planning. In contrast to prior work, is intrinsically scene-aware, physics-based, goal-oriented. With an iterative sampling strategy, jointly formulates scene-aware physics-based goal-oriented planning via diffusion-based denoising process in fully differentiable fashion. Such design alleviates discrepancies among...
IMPORTANCE Postoperative delirium is a common and impactful neuropsychiatric complication in patients undergoing coronary artery bypass grafting surgery. Cognitive training may enhance cognitive reserve, thereby reducing postoperative delirium. OBJECTIVE To determine whether preoperative reduces the incidence of grafting. DESIGN, SETTING, PARTICIPANTS This prospective, single-blind, randomized clinical trial was conducted at 3 university teaching hospitals southeastern China with enrollment...
This study aimed to explore the relationship between intramedullary injury and midsagittal tissue bridges at epicenter of sub-acute traumatic cervical spinal cord (SCI) long-term clinical recovery. Imaging data from 57 SCI patients First Affiliated Hospital Nanchang University were retrospectively assessed. Midsagittal T2-weighted scans 1 month post-injury used quantify lesion size bridge width. Correlation analyses performed determine association width, size, At after SCI, ventral (VMTB),...
Humans naturally rely on floor plans to navigate in unfamiliar environments, as they are readily available, reliable, and provide rich geometrical guidance. However, existing visual navigation settings overlook this valuable prior knowledge, leading limited efficiency accuracy. To eliminate gap, we introduce a novel task: Floor Plan Visual Navigation (FloNa), the first attempt incorporate into embodied navigation. While plan offers significant advantages, two key challenges emerge: (1)...
To deal with the fluctuations of strip quality, low production capacity, and excessive energy consumption in continuous annealing line (CAPL), a new multiobjective multifactorial operation optimization (MO-MFOO) model is established for CAPL this paper. Different from previous (MOO) models literature that only solve one task at time, MO-MFOO paper can simultaneously multiple tasks, each which MOO. efficiently model, we propose an adaptive multiobjective, differential evolution algorithm...
Bearing is a failure-prone component in rotating machinery equipment, and various task conditions make bearing fault diagnosis (BFD) challenging task. Despite the great success of convolutional neural network (CNN) feature extraction, most them are based on manual tuning, it not easy to determine unified CNN architecture with an effective balance between accuracy computational resources [parameters floating point operations (FLOPs)]. In this article, automatic design method called AUTO-CNN...
Modeling and solving multi-robot task allocation with definite path-conflict-free handling is an important research, especially in real working environments. Some of the research lines are unable to obtain solutions for allocations, such as using penalty-term method fitness function restrict survival probabilities path conflicts. In some cases, these only able satisfy objective minimizing time. We formulate this problem based on grid maps, while focusing frequently used cooperative...
Abstract To solve the problem of time-consuming measurement and correction large antennas’ reflector deformation, a new microwave holography methodology based on Phased Array Feed (PAF) is proposed. Starting from known expression receiving signals in holography, theory PAF derived through Geometrical Optics. Reflector as well pointing deviation subreflector offset, can be calculated out by applying equations. A system depicted, two kinds methods are illustrated. The proposed verified...
Continuous annealing production process generally consists of multiple complex processes that are coupled to each other, and contains many control variables. It is difficult establish a precise mechanism model the process. The operators mainly set these variables based on past experience, which often result in great fluctuations product quality (even unqualified products) high energy consumption. This turn significantly affected cost economic benefits cold rolling mill. To efficiently handle...
Abstract. Remote sensing optical image cloud detection is one of the most important problems in remote data processing. Aiming at information loss caused by cover, a method based on convolution neural network (CNN) presented this paper. Firstly, deep CNN used to extract multi-level feature generation model from training samples. Secondly, adaptive simple linear iterative clustering (ASLIC) divide detected images into superpixels. Finally, probability each superpixel belonging region...
In this paper, the energy allocation problem of major production equipment is investigated from perspective whole process to meet demands system in iron and steel enterprise. Taking into account replacement between changeover state equipment, a bi-objective mixed integer programming model established minimize total cost equipment. A multi-objective evolutionary algorithm (MOEA) proposed solve model. The MOEA takes correlation among variables extracts free encode individual. order preserve...
With the new distribution demands emerging continuously in last decade, mode is changing gradually various applications, such as e-commerce, emergency relief supplies distribution, last-mile delivery, and so on. We formulate vehicle routing problem with pickup delivery (VRPPD), while simultaneously considering multiple arrival time traffic congestion constraints. Our model focuses on clear changes of to meet fast-delivery requirements which characterized by multi-batch goods 24 hours...
In order to study the leakage of buried natural gas pipeline caused serious environmental pollution and human casualties, acoustic propagation characteristics monitored by distributed optical fiber were studied. At present, research on mainly focuses sound waves along pipe wall, while in soil is still lacking. The attenuation wave size hole pressure studied, evolution process revealed. conclusion that source belongs broadband noise, energy prominent low frequency band 15kHz. lower frequency,...
There are many dynamic disturbances during the continuous annealing production line (CAPL) in iron and steel enterprise. Traditional robust operation optimization considers only maximum disturbance range previous overrides changes of these disturbances, which often results high cost low product quality. Therefore, this paper proposes a novel multiobjective (MODRO) modeling method by further taking into account adopting time series prediction model based on least square support vector...
We propose Reasoning to Ground (R2G), a neural symbolic model that grounds the target objects within 3D scenes in reasoning manner. In contrast prior works, R2G explicitly models scene with semantic concept-based graph; recurrently simulates attention transferring across object entities; thus makes process of grounding highest probability interpretable. Specifically, we respectively embed multiple properties graph nodes and spatial relations among entities edges, utilizing predefined...
ABSTRACT Two new alkaloids, named migenomycin I ( 1 ) and II 2 ), along with nine known compounds 3–11 were isolated from the fungus Rhizopus oryzae Atractylodes macrocephala Koidz. The structures of determined by spectroscopic methods (MS, NMR, CD). All for first time. In addition, antitumor activities hypoglycemic most evaluated.