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Evaluation of the ecological status with benthic indices in the coastal system: the case of Bohai Bay (China)

Wenqian CAI,Wei MENG,Lusan LIU,Kuixuan LIN

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 5, Pages 737-746 doi: 10.1007/s11783-013-0617-x

Abstract: areas of Bohai Bay (China) in April, 2008, three biotic indices (AZTI’s Marine Biotic Index (AMBI), Shannon–Wienermakers in visualizing spatial changes of organic pollutants in Bohai Bay, two indices, i.e., AMBI and Shannon-WienerIn a word, AMBI, Shannon–Wiener Index and -statistic could be able to assess the benthic ecological

Keywords： AZTI’s Marine Biotic Index Shannon-Wiener Index W-statistic ecological status coastal system Bohai

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Ecological assessment of lakeshore wetland rehabilitation on eastern route of South-to-North Water Transfer Project

ZHANG Jian, Lu Yifeng, JING Yuming, ZHANG Bo, ZHANG Chenglu, MENG Fei, ZHANG Huayong

Frontiers of Environmental Science & Engineering 2008, Volume 2, Issue 3, Pages 306-310 doi: 10.1007/s11783-008-0057-1

Abstract: The species richness index, Shannon-Wiener index, Simpson index, and Pielou Evenness index were adoptedIn addition, the Shannon-Wiener index, Simpson index, and community evenness index of platform fields

Keywords： community South-to-North Shannon-Wiener Evenness addition

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Sequential degradation-based burn-in test with multiple periodic inspections

Frontiers of Engineering Management 2021, Volume 8, Issue 4, Pages 519-530 doi: 10.1007/s42524-021-0166-0

Abstract: Burn-in has been proven effective in identifying and removing defective products before they are delivered to customers. Most existing burn-in models adopt a one-shot scheme, which may not be sufficient enough for identification. Borrowing the idea from sequential inspections for remaining useful life prediction and accelerated lifetime test, this study proposes a sequential degradation-based burn-in model with multiple periodic inspections. At each inspection epoch, the posterior probability that a product belongs to a normal one is updated with the inspected degradation level. Based on the degradation level and the updated posterior probability, a product can be disposed, put into field use, or kept in the test till the next inspection epoch. We cast the problem into a partially observed Markov decision process to minimize the expected total burn-in cost of a product, and derive some interesting structures of the optimal policy. Then, algorithms are provided to find the joint optimal inspection period and number of inspections in steps. A numerical study is also provided to illustrate the effectiveness of our proposed model.

Keywords： burn-in degradation multiple inspections Wiener process partially observed Markov decision process

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Bayes estimation of residual life by fusing multisource information

Qian ZHAO, Xiang JIA, Zhi-jun CHENG, Bo GUO

Frontiers of Engineering Management 2018, Volume 5, Issue 4, Pages 524-532 doi: 10.15302/J-FEM-2018034

Abstract: The linear Wiener process is used to model degradation data, whereas lifetime data are described via

Keywords： residual life estimation Bayes model linear Wiener process

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Data recovery with sub-Nyquist sampling: fundamental limit and a detection algorithm

Xiqian Luo, Zhaoyang Zhang,ning_ming@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 2, Pages 141-286 doi: 10.1631/FITEE.1900320

Abstract: While the Nyquist rate serves as a lower bound to sample a general bandlimited signal with no information loss, the sub-Nyquist rate may also be sufficient for sampling and recovering signals under certain circumstances. Previous works on achieved dimensionality reduction mainly by transforming the signal in certain ways. However, the underlying structure of the sub-Nyquist sampled signal has not yet been fully exploited. In this paper, we study the fundamental limit and the method for recovering data from the sub-Nyquist sample sequence of a linearly modulated baseband signal. In this context, the signal is not eligible for dimension reduction, which makes the information loss in inevitable and turns the recovery into an . The performance limits and data recovery algorithms of two different schemes are studied. First, the minimum normalized Euclidean distances for the two sampling schemes are calculated which indicate the performance upper bounds of each sampling scheme. Then, with the constraint of a finite alphabet set of the transmitted symbols, a modified is presented for efficient data recovery from the sub-Nyquist samples. The simulated bit error rates (BERs) with different schemes are compared with both their theoretical limits and their Nyquist sampling counterparts, which validates the excellent performance of the proposed data recovery algorithm.

Keywords： Nyquist-Shannon sampling theorem Sub-Nyquist sampling Minimum Euclidean distance Under-determined