The re-optimization strategy of multi-layer hybrid building’s cooling and heating load soft sensing technology research based on temperature interval and hierarchical modeling techniques

Taking the region around Zhengzhou as a study area, the urban building information was extracted from TM images of 2006 and 2010 through the decision tree method. On the whole, the result of extraction is satisfactory. The overall quality coefficients of urban building information were all above 0. 89. From 2006 to 2010, the area of urban building has increased from 196.2 km2 to 279.5 km2; a net increase ratio of the urban building in the study area was 42.4%. Urban building has presented the trend of expansion from the center of the city. The main direction of expansion in the west and northeast whiles the expansion in the other directions evenly. The factors of traffic, population, economic were thought to be the most important driving force of urban expansion.

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Study on Soft Sensing Technology of Penicillin Fermentation Based on PLS and SVR

2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA) ◽

10.1109/iciea48937.2020.9248321 ◽

2020 ◽

Author(s):

Li Haoguang ◽

Pang Yan

Keyword(s):

Soft Sensing ◽

Sensing Technology ◽

Penicillin Fermentation

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Nonlethal assessment of freshwater mussel physiological response to changes in environmental factors

Canadian Journal of Fisheries and Aquatic Sciences ◽

10.1139/cjfas-2014-0565 ◽

2015 ◽

Vol 72 (10) ◽

pp. 1460-1468 ◽

Cited By ~ 8

Author(s):

Andrea K. Fritts ◽

James T. Peterson ◽

Jason M. Wisniewski ◽

Robert B. Bringolf

Keyword(s):

Environmental Factors ◽

Aquatic Ecosystems ◽

Linear Models ◽

Environmental Changes ◽

Hierarchical Modeling ◽

Freshwater Mussel ◽

Stream Discharge ◽

Modeling Techniques ◽

Flint River ◽

Tissue Biomarkers

The development of effective nonlethal biomonitoring techniques is imperative for the preservation of imperiled freshwater mussel populations. Changes in hemolymph chemistry profiles and tissue glycogen are potential biomarkers for nonlethally monitoring stress in mussels. We sampled three species in the Flint River Basin over 2 years to evaluate how these hemolymph and tissue biomarkers responded to environmental changes. We used hierarchical linear models to evaluate the relationships between variation in the biomarkers and environmental factors and found that the responses of the hemolymph and tissue parameters were strongly related to stream discharge. Shifts in alanine aminotransferase and glycogen showed the largest relations with discharge at the time of sampling, while magnesium levels were most explained by the discharge for 5 days prior to sampling. Aspartate aminotransferase, bicarbonate, and calcium showed the strongest relations with mean discharge for 15 days prior to sampling. The modeling results indicated that biomarker responses varied substantially among individuals of different size, sex, and species and illustrated the value of hierarchical modeling techniques to account for the inherent complexity of aquatic ecosystems.

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