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HVAC System Energy-saving Design for One Super-high Office Building
Weicheng, Zhang,Siying, Teng Council on Tall Building and Urban Habitat Korea 2013 International journal of high-rise buildings Vol.2 No.4
This building is a first-class super-high office building. This article briefly introduces energy-saving technique and measures adopted in HVAC system, such as cooling and heat sources, water and air system etc.
Ziyan Ren,Siying He,Dianhai Zhang,Yanli Zhang,Chang-Seop Koh IEEE 2016 IEEE transactions on magnetics Vol.52 No.3
<P>In the early design stage of an electromagnetic device, sufficient information on uncertainties of design variables is not available. Therefore, a reliable optimal design cannot be achieved by the conventional reliability analysis, in which the probabilistic method is applied. This paper, considering the insufficient uncertainty data, proposes a possibility-based optimal design algorithm to get a robust and reliable optimal design of electromagnetic devices. The suggested algorithm adopts a possibility analysis utilizing the fuzzy set theory. In addition, to mitigate the expensive performance analysis during possibility analysis, the design sensitivity analysis is employed to construct a surrogate model. Finally, the developed algorithm is validated through applications to several examples.</P>
Ziyan Ren,Siying He,Liping Zhang,Yanli Qi,Chang Seop Koh 한국자기학회 2020 Journal of Magnetics Vol.25 No.3
Recently, many design problems in the field of electrical engineering tend to be more complex, which are characterized by large scale in size, strong nonlinearity for performance analysis, and multi-dimensional design parameters. Therefore, it is not easy to seek for optimum effectively by traditional optimization algorithms. In order to solve optimal design of complex practical problems, in this paper, a novel hybrid optimization algorithm based on the differential evolution algorithm and the black hole theory is proposed and investigated. The differential evolution (DE) algorithm owns good diversity and flexibility, while the black-hole based optimization algorithm (BHBO) possesses faster convergence. In addition, these two algorithms have simple structures. The proposed algorithm with better merits combination may guarantee better convergence and stronger robustness than its independent counterparts of DE and BHBO. The searching performance is deeply investigated through numerical experiments on benchmark functions and practical electromagnetic applications.
Study on Multi-Source Localization of Wireless Sensor Network Based on Quantitative Information
Yunting Liu,Hui Guo,Yuanwei Jing,Siying Zhang 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.4
Against the problem that quantitative localization is concentrated on single-source localization, this paper studies the quantitative multi-source localization methods based on wireless sensor network. Firstly, the log-quantization strategy which reflects the characteristics of acoustic source is proposed. The sensor node transmits the quantized information to base station according to the measurements and log-quantization strategy. Secondly the based station estimates the location of the sources according to the proposed method termed as multiple source localization based on possibilistic C means clustering algorithm. Finally the efficient of the proposed method is verified by the simulation under different parameters. The simulation results show that the proposed method could accurately estimate the location of source. And the proposed method is robust to the packet loss rate.
Guochao Shi,Mingli Wang,Yanying Zhu,Xiaoya Yan, Siye Pan,Siye Pan,Anqi Zhang 한국물리학회 2019 Current Applied Physics Vol.19 No.11
An effective SERS-based detection method has been developed to quantitatively diagnose the goat serum which overcomes the problem of diffusion limitation in traditional heterogeneous immunoassay. In this work, the ultrasensitive silver/anodic aluminum oxide (Ag/AAO) SERS platform was explored via magnetron sputtering which can precisely control the sample morphology and intergap distances. Results indicated that the localized surface plasmon resonance (LSPR) effect was sharply strengthened as the sub-10 nm nanogaps generated and the enhancement factor (EF) for crystal violet (CV) was calculated to be 3.677×107. This novel Ag/AAO substrate with substantial “hot spots” exhibited high SERS sensitivity which could obtain extremely low limits of detection (LOD) of 10−12M for CV. Importantly, this SERS platform was employed to detect goat serum and reached a LOD at 1 ng/μl. As a nondestructive detection technique, our SERS-based methodology required small sample quantity which expected to achieve more biomolecular detection.