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- research-articleDecember 2022
Accelerate online reinforcement learning for building HVAC control with heterogeneous expert guidances
BuildSys '22: Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and TransportationPages 89–98https://doi.org/10.1145/3563357.3564064Building heating, ventilation, and air conditioning (HVAC) systems account for nearly half of building energy consumption and 20% of total energy consumption in the US. Their operation is also crucial for ensuring the physical and mental health of ...
- research-articleMay 2022
Toward intelligent clothes manufacturing: a systematic method for static and dynamic task allocation by genetic optimization
Neural Computing and Applications (NCAA), Volume 34, Issue 10Pages 7881–7897https://doi.org/10.1007/s00521-022-06890-6AbstractWith the growing of economic globalization and world economic integration, customer demands are becoming increasingly personalization and diversification. How to design a reasonable schedule scheme becomes the key point of industries. Flexible job ...
- research-articleDecember 2021
Cocktail: Learn a Better Neural Network Controller from Multiple Experts via Adaptive Mixing and Robust Distillation
2021 58th ACM/IEEE Design Automation Conference (DAC)Pages 397–402https://doi.org/10.1109/DAC18074.2021.9586148Neural networks are being increasingly applied to control and decision making for learning-enabled cyber-physical systems (LE-CPSs). They have shown promising performance without requiring the development of complex physical models; however, their ...
- short-paperNovember 2021
Containerized framework for building control performance comparisons: model predictive control vs deep reinforcement learning control
BuildSys '21: Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and TransportationPages 276–280https://doi.org/10.1145/3486611.3492412While both model predictive control (MPC) and deep reinforcement learning control (DRL) have shown significant energy cost savings for building systems, there is a lack of in-depth quantitative study on the comparison between the two. One major obstacle ...
- research-articleNovember 2021
Learning-based framework for sensor fault-tolerant building HVAC control with model-assisted learning
BuildSys '21: Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and TransportationPages 1–10https://doi.org/10.1145/3486611.3486644As people spend up to 87% of their time indoors, intelligent Heating, Ventilation, and Air Conditioning (HVAC) systems in buildings are essential for maintaining occupant comfort and reducing energy consumption. These HVAC systems in smart buildings ...
- research-articleJanuary 2021
Safety-Assured Design and Adaptation of Learning-Enabled Autonomous Systems
- Qi Zhu,
- Chao Huang,
- Ruochen Jiao,
- Shuyue Lan,
- Hengyi Liang,
- Xiangguo Liu,
- Yixuan Wang,
- Zhilu Wang,
- Shichao Xu
ASPDAC '21: Proceedings of the 26th Asia and South Pacific Design Automation ConferencePages 753–760https://doi.org/10.1145/3394885.3431623Future autonomous systems will employ sophisticated machine learning techniques for the sensing and perception of the surroundings and the making corresponding decisions for planning, control, and other actions. They often operate in highly dynamic, ...
- research-articleNovember 2020
One for Many: Transfer Learning for Building HVAC Control
BuildSys '20: Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and TransportationPages 230–239https://doi.org/10.1145/3408308.3427617The design of building heating, ventilation, and air conditioning (HVAC) system is critically important, as it accounts for around half of building energy consumption and directly affects occupant comfort, productivity, and health. Traditional HVAC ...
- research-articleNovember 2020
Opportunistic intermittent control with safety guarantees for autonomous systems
DAC '20: Proceedings of the 57th ACM/EDAC/IEEE Design Automation ConferenceArticle No.: 81, Pages 1–6Control schemes for autonomous systems are often designed in a way that anticipates the worst case in any situation. At runtime, however, there could exist opportunities to leverage the characteristics of specific environment and operation context for ...
- articleJanuary 2013
DNA detection of toxoplasma gondii with a magnetic molecular beacon probe via CdTe@Ni quantum dots as energy donor
- Shichao Xu,
- Chen Zhang,
- Lei He,
- Tongyao Wang,
- Liusong Ni,
- Mengna Sun,
- Heng Miao,
- Jimei Zhang,
- Zhao Dai,
- Bing Wang,
- Guo Zheng
Journal of Nanomaterials (NANO), Volume 2013Article No.: 62, Page 62https://doi.org/10.1155/2013/473703A new method for detection of Toxoplasma gondii via DNA sensing technology was developed in this study. It was based on the mechanism of fluorescence resonance energy transfer (FRET) in which multifunctional and magnetic-fluorescent CdTe@Ni quantum dots ...
- ArticleDecember 2009
Design and Implementation of Digital Channelized Receiver in Multi-FPGA
ICISE '09: Proceedings of the 2009 First IEEE International Conference on Information Science and EngineeringPages 178–181https://doi.org/10.1109/ICISE.2009.461A method of parallel processing for digital channelized receiver to complex signal is proposed to solve the problem of shortage of resources in real-time signal processing. When complex signals go through poly-phase digital channelized receiver, in ...