A5101638620- Fault Detection and Control Systems
- BIM and Construction Integration
- Advanced Control Systems Optimization
- Advanced Sensor and Control Systems
- VLSI and Analog Circuit Testing
- Building Energy and Comfort Optimization
- Advanced Algorithms and Applications
- Virtual Reality Applications and Impacts
- Integrated Circuits and Semiconductor Failure Analysis
- Advanced Decision-Making Techniques
- Advancements in Photolithography Techniques
- Higher Education and Teaching Methods
- Flow Experience in Various Fields
- Innovative Educational Techniques
- Process Optimization and Integration
- Simulation and Modeling Applications
- Industrial Technology and Control Systems
- Hydraulic and Pneumatic Systems
- Second Language Acquisition and Learning
- Ideological and Political Education
- Facilities and Workplace Management
- Risk and Safety Analysis
- EFL/ESL Teaching and Learning
- Experimental Learning in Engineering
- Augmented Reality Applications
Shanghai University of Electric Power
2010-2024
China Earthquake Administration
2024
Northwest A&F University
2023
Government of Jiangsu Province
2023
Lanzhou University
2022
Stomatology Hospital
2020
China Medical University
2020
Jilin Agricultural University
2020
National Institute of Metrology
2019
University of North Texas
2018-2019
Troubleshooting HVAC-related problems is one of the significant activities facilities management (FM), in which services directly affect occupants’ satisfaction, health, and productivity. Because complexity modern HVAC systems lack apparent causes when occur, mechanics need to collect various facility-specific information items identify real cause. The current practice lacks systematic approaches for identifying what specific facility should check a given work order. Building models (BIMs)...
Diagnosis is the first step of IC failure analysis. The conventional objective identifying locations has been augmented with various physically-aware techniques that are intended to improve both diagnostic resolution and accuracy. Despite these advances, it often case however resolution, i.e., number or candidates reported by diagnosis, exceeds actual failing locations. Imperfect greatly hinders any follow-on, information-extraction analyses (e.g., physical analysis, volume etc.) due...
Prompt response and troubleshooting of HVAC-related problems in facilities are vital to ensure a comfortable indoor environment for occupants. Two main challenges the current practice result an ad hoc process waste resources: lack access required facility system information timely manner large search space possible causes given problem. This paper presents formalized approach bring solutions these problems. The reasons with facility-specific model-based repository order identify accurate set...
HVAC mechanics need to know various information items about a facility and its building systems troubleshoot HVAC-related problems. Whether can comprehend the situation pinpoint problem source in an efficient way is affected by how required provided them. This research study builds on hypothesis that visualization of for improve time efficiency decision making troubleshooting process, there needed understand much be achieved visualization. Hence, this utilizes user-centered iterative process...
Diagnosis is the first analysis step for uncovering root cause of failure a defective integrated logic circuit. The conventional objective identifying locations has been augmented with various physically-aware diagnosis techniques that are intended to improve both resolution and accuracy. Despite these advances, it often case, however, resolution, i.e., number or candidates reported by diagnosis, exceeds actual failing locations. To address this major challenge, novel, machine-learning-based...
We explore properties of nonlinear programming problems (NLPs) that arise in the formulation NMPC subproblems and show their influence on stability robustness NMPC. NLPs satisfy linear independence constraint qualification (LICQ), second order sufficient conditions (SOSC) strict complementarity (SC), have solutions are continuous differentiable with perturbations problem data. As a result, they important prerequisites for nominal ISS controllers. Moreover, we ensuring these is possible...
One of the significant ways to save energy use in buildings is implement advanced retrofits existing buildings. Improving performance through retrofitting requires a clear understanding cost and implications design alternatives from various engineering disciplines when different retrofit options are considered. The communication their essential decision-making process, as it affects final selections hence efficiency retrofitted objective research presented here was identify generic list...
DREAMS (DFM Rule EvAluation using Manufactured Silicon) is a comprehensive methodology for evaluating the yield-preserving capabilities of set DFM (design manufacturability) rules results logic diagnosis performed on failed ICs. an improvement over prior art in that distribution rule violations candidates and entire design are taken into account along with nature failure (e.g., bridge versus open) to appropriately weight rules. Silicon simulation demonstrate efficacy methodology....
DREAMS (DFM Rule EvAluation using Manufactured Silicon) is a comprehensive methodology for evaluating the yield-preserving capabilities of set DFM (design manufacturability) rules results logic diagnosis performed on failed ICs. an improvement over prior art in that distribution rule violations candidates and entire design are taken into account along with nature failure (e.g., bridge versus open) to appropriately weight rules. Silicon simulation demonstrate efficacy methodology....
An accurate and high-resolution diagnosis enables physical failure analysis (PFA) to identify understand the root-cause of integrated-circuit failure. Despite many existing techniques for improving diagnosis, resolution is still far from ideal, which hinders PFA other analyses. To address this challenge, we extend capability PADRE (physically-aware diagnostic enhancement), a powerful machine learning based improvement technique, with novel, active (AL) selection approach. active-learning (AL...
This paper proposes a dance posture analysis method based on eigenvector matching, and sets up motion capture system that calculates parameters by similarity matching of characteristic planes. Considering the complexity learning, proposed was adopted to acquire various postures learners, contrast their against standard ones. The verified through contrastive experiment, shedding new light innovation digital teaching
Photovoltaic power generation has certain volatility and randomness. In order to reduce the impact of photovoltaic on stable operation grid, this paper proposes a short-term Bi-LSTM method based MIC. Firstly, correlation degree between predicted PV meteorological factors was analyzed maximum information coefficient (MIC), so as screen characteristics high-dimensional data in grid. Then, historical similar days were selected by weighted sum coefficient. Finally, bi-directional long neural...
Design for manufacturability rule evaluation using manufactured silicon (DREAMS) is a comprehensive methodology evaluating the yield-preserving capabilities of set design (DFM) rules results logic diagnosis performed on failed ICs. DREAMS an improvement over prior art in that distribution violations candidates and entire are taken into account along with nature failure (e.g., bridge versus open) to appropriately weight rules. Silicon simulation demonstrate efficacy methodology. Specifically,...
Processes, Information Requirements and Challenges Associated with Corrective Maintenance in Relation to Indoor Air Problem Related Work Orders Xue Yang, Semiha Ergan Pages 1119-1128 (2013 Proceedings of the 30th ISARC, Montréal, Canada, ISBN 978-1-62993-294-1, ISSN 2413-5844) Abstract: Even though many approaches have been proposed for automated fault detection diagnosis Heating Ventilation Conditioning (HVAC) systems, advanced maintenance programs, such as preventive predictive applied...
The main steam temperature control system is necessary to ensure high efficiency and load-following capability in the operation of modern power plant, which has characteristics large inertia, long time-delay time-varying, etc. Thus conventional PID strategy cannot achieve good performance. Prompted by feedback regulation mechanism biology immune response neural network, a composite based on RBF tuning fuzzy presented this paper. It stronger robustness better self-adaptive ability, can be...
For energy efficient retrofit projects, interactions of integrated design teams have a significant impact on the life-cycle saving decisions. While evaluating options, team must consider results from various simulation tools (e.g., energy, day-lighting) with context 3D model. However, traditional communication creates barrier for to make decisions efficiently as information is frequently conveyed through documents in tabular formats, and perceived outside representation. One primary needs...