A5101456422- Supply Chain and Inventory Management
- Magnetic confinement fusion research
- Risk and Portfolio Optimization
- Fusion materials and technologies
- Superconducting Materials and Applications
- Stochastic processes and financial applications
- Vibration and Dynamic Analysis
- Dental Implant Techniques and Outcomes
- Soft Robotics and Applications
- Scheduling and Optimization Algorithms
- Hydraulic Fracturing and Reservoir Analysis
- Nuclear Physics and Applications
- Advanced Vision and Imaging
- Structural Load-Bearing Analysis
- Laser-Plasma Interactions and Diagnostics
- Structural Engineering and Vibration Analysis
- Advanced Queuing Theory Analysis
- Structural Behavior of Reinforced Concrete
- Computer Graphics and Visualization Techniques
- Advanced Sensor and Energy Harvesting Materials
- E-commerce and Technology Innovations
- Precipitation Measurement and Analysis
- Recycling and utilization of industrial and municipal waste in materials production
- Structural Health Monitoring Techniques
- Advanced X-ray and CT Imaging
Bethune International Peace Hospital
2025
SGIDI Engineering Consulting (China)
2023
Xiamen University of Technology
2023
Research Institute of Petroleum Exploration and Development
2021-2023
China National Petroleum Corporation (China)
2021-2023
Dalian University of Technology
2023
Tohoku University
2018-2022
University of Hong Kong
2016-2022
ShanghaiTech University
2022
Hangzhou Dianzi University
2021
Implicit neural representations such as Neural Radiance Field (NeRF) have focused mainly on modeling static objects captured under multi-view settings where real-time rendering can be achieved with smart data structures, e.g., PlenOctree. In this paper, we present a novel Fourier PlenOctree (FPO) technique to tackle efficient mod-eling and of dynamic scenes the free-view video (FVV) setting. The key idea in our FPO is combination generalized NeRF, representation, volumetric fusion transform....
We have recently seen tremendous progress in the neural advances for photo-real human modeling and rendering. However, it's still challenging to integrate them into an existing mesh-based pipeline downstream applications. In this paper, we present a comprehensive approach high-quality reconstruction, compression, rendering of performances from dense multi-view videos. Our core intuition is bridge traditional animated mesh workflow with new class highly efficient techniques. first introduce...
Millimeter-wave imaging diagnostics, with large poloidal span and wide radial range, have been developed on the EAST tokamak for visualization of 2D electron temperature density fluctuations. A 384 channel (24 × 16 radial) Electron Cyclotron Emission Imaging (ECEI) system in F-band (90-140 GHz) was installed 2012 to provide fluctuation images high spatial temporal resolution. co-located Microwave Reflectometry (MIR) will be fluctuations by December 2016. This "4th generation" MIR has eight...
With demand for the long-term continued use of existing building facilities, structural health monitoring and damage detection are attracting interest from society. Sensors various types have been practically applied in industry to satisfy this need. Among sensors, piezoelectric sensors an extremely promising technology by virtue their cost advantages durability. Although they used aerospace civil engineering, application engineering remains limited. Remarkably, recent catastrophic seismic...
Demand for many products may depend on the price of a tradable asset or economy in general. For example, demand equipment that plants harvests corn correlates with commodity market, and discount stores experienced increased sales revenue during last recession. Thus, we model as stochastic process two components: addition to usual Gaussian component reflecting volatility, there is drift taking form function price. (In case dependence general economy, can be broad market index, such S&P...
We study production planning in a multi‐product setting, which demand for each product depends on multiple financial assets (such as commodities, market indices, etc). In addition to the quantity decision at beginning of horizon, there is also real‐time hedging throughout horizon; and we optimize both decisions jointly. With mean–variance problem formulation, first derive optimal strategy, given quantities. This leads an explicit objective function with bounds quantities are identified....
In Japanese moment resisting steel frames, H-shaped beams are rigidly connected to the box sectional columns which have high warping restraint against lateral buckling deformation of subjected flexural moment. On other hand, most in frames with continuous braces such as roof purlin or concrete slab effective prevent beams. this paper, equation elastic load for and developed. Elasto-plastic stresses stiffing force rotational evaluated by energy method numerical analyses.
Non-structural members like folded roof plates are not considered as lateral braces, but these may be effective to increase buckling load of H-shaped beams. On the other hand, beams rigidly connected columns, which have high warping restraint against deformation. In this paper, partial frame tests subjected cyclic loading conducted and bracing effect beam-to-column joints on clarified strength stiffening moment evaluated safe according reference.
Traditional production planning is primarily a quantity or capacity decision, which must be made at the beginning of horizon before starts. Adding to this decision real‐time control, risk‐hedging strategy carried out throughout can better mitigate risk involved in demand volatility. We demonstrate how done terms jointly optimizing and hedging decisions, addressing both mean‐variance shortfall objectives. Solution techniques, results, insights are highlighted. In particular, we illustrate...
With demand for the long-term continued use of existing building facilities, structural health monitoring and damage detection are attracting interest from society. Sensors various types have been practically applied in industry to satisfy this need. Among sensors, piezoelectric sensors an extremely promising technology by virtue their cost advantages durability. Although they used aerospace civil engineering, application engineering remains limited. Remarkably, recent catastrophic seismic...
Electron cyclotron emission imaging (ECEI), as an advanced diagnostic, provides two-dimensional (2D) images of electron temperature fluctuation in the core plasma region. The ECEI system on Experimental Advanced Superconducting Tokamak (EAST) tokamak consists 384 channels by 24 (vertical) × 16 (horizontal). nearly covers whole surface cross-section EAST. Here, we present a quantitative method to estimate sawtooth collapse time. All fluctuations inside are summed up, and time is estimated lag...
An intelligent remote control system based on a power distribution unit (PDU) and Arduino has been designed for the electron cyclotron emission imaging (ECEI) Experimental Advanced Superconducting Tokamak (EAST). This three major functions: ECEI reboot, measurement region adjustment signal amplitude optimization. The observation of can be modified different physics proposals by remotely tuning optical electronics systems. Via attenuation level, intermediate frequency efficiently optimized....
Pneumatic soft actuators can change their shapes under pneumatic pressure actuation and are capable of continuous bending. However, the air chambers inside will expand during process cause nonlinear problems. Therefore difficulties to model. In this paper, three types bending with different chamber designed finite element model (FEM) is developed simulate deformation actuation. A prototype actuator fabricated a method limit expansion based on FEM results, which effectively improve response...
Electron cyclotron emission imaging on EAST provides direct measurements of the 2-D electron temperature dynamics in a continuous large observation area with high temporal and spatial resolution. Besides normal MHD investigation, system view field enough to cover core plasma region has been applied extract more information, such as center location, deposition location auxiliary heating, toroidal rotation speed. These results solely based (ECEI) data are consistent equilibrium fitting (EFIT),...
Electron Cyclotron Emission Imaging (ECEI) is a diagnostic system which measures 2-D electron temperature profiles with high spatial-temporal resolution. Usually only the normalized fluctuations are utilized to investigate magnetohydrodynamics modes due difficulties of ECEI calibration. In this paper, we developed self-dependent calibration method for 24 × 16 channel high-resolution on Experimental Advanced Superconducting Tokamak. The technique shape matching applied solve matrix...
In this study, we develop risk hedging strategies for a multilocation newsvendors system and study its impact. We consider with central planner who prioritizes the system-wide payoff store managers running each individual store. Both have conditional value at (CVaR) objective, but are more risk-averse than planner. Two operational been proposed to overcome aversion asymmetry supply-demand mismatch: centralization of ordering quantities pooling inventory. As an alternative these strategies,...
We study production planning integrated with risk hedging by considering shortfall as the measure. In addition to one-time quantity decision, there is a real-time strategy throughout horizon; and goal minimize gap between pre-specified target total terminal wealth achieved both hedging. assume partial information --- executed based on from financial market only, impose budget constraint cap any loss To find optimal strategy, we construct dual problem, which provides lower bound original...