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The Application and Development of Knothe Influence Function in China

Yan J., Lun Y., Yue J., Preuße A., Sroka A.

Prace Instytutu Mechaniki Górotworu PAN

2018

T. 20, nr 2

137--144

The Knothe infl uence function method was introduced to China in 1965 and began to abundant research and widely applied from 1980s. Based on the Knothe influence function method, the prediction model of surface movement and deformation of flat seam mining is established, then the calculation programs and drawing software are developed. The relationship between surface movement calculation parameters and geological mining conditions is systematically summarized, and national technical regulations and standards are compiled. The method has been widely applied in special coal mining and got enormous economic benefits, meanwhile, the method is applied in metal mine, oil and gas, groundwater, halite mining and underground engineering. In recent years, the Chinese scholars enrich and develop the probability integral method, and the prediction model of surface movement and deformation with special mining conditions, such as extremely inadequate mining and steeply inclined seam mining is established. Through introducing the Knothe infl uence function method of application in China, the 100th birthday of Professor Knothe and the great contribution to the mining subsidence prediction is commemorated.

Potholes of Mountain River as Biodiversity Spots : Structure and Dynamics of the Benthic Invertebrate Community

Ren H., Yuan X., Yue J., Wang X., Liu H.

Polish Journal of Ecology

2016

Vol. 64, nr 1

70--83

Temporary freshwater rock pools, as special, small-sized and isolated habitats, provide ideal systems for studying island biogeography and ecological theories and processes. In this study, a total of 70 potholes of mountain rivers were sampled during the four seasons from November 2013 to October 2014 to assess the structure of the benthic invertebrate community and to identify the relationships between habitat characteristics and the community composition. Pothole area ranged from approximately 0.01 to 0.39 m2, and pothole depth ranged from 0.03 to 0.74 m. Forty-three taxa belonging to 37 families and 16 orders were collected from the potholes. The highest numbers of benthic invertebrate taxa were observed in summer and the highest average number of taxa per pothole (8.5) was observed in autumn. The diversity was the highest in spring, and the average densities of benthic invertebrates were highest in autumn. Large potholes supported more taxa than small ones and significant relationships between richness and pothole area, richness and water volume were observed. The results of Redundancy Analysis show that the community composition of benthic invertebrates in the potholes was closely correlated with water temperature, pothole area and water depth. Our results indicate that benthic invertebrate communities in river potholes are mainly structured by water depth, pothole area and water volume. The seasonal changes are also an important factor determining the presence/absence of certain taxa.

A Novel Unequal Cluster-Based Data Aggregation Protocol for Wireless Sensor Networks

Yue J., Zhang W., Xiao W., Tang D., Tang J.

Przegląd Elektrotechniczny

2013

R. 89, nr 1b

20--24

Data aggregation is an effectual approach for wireless sensor networks (WSNs) to save energy and prolong network lifetime. A novel unequal cluster-based data aggregation protocol is proposed in this paper. It divides the network into some grids with unequal sizes, and implements cluster head rotation in each grid respectively. It is able to balance energy dissipation by setting proper sizes of grids to adjust the number of nodes that participate in cluster head rotation in different grids. Furthermore, it adopts some methods to enhance usage efficiency of energy. The results of simulations show that it can achieve better performance in aspects of network lifetime, energy efficiency and balanced extent of energy dissipation.

Efektywnym sposobem na zaoszczędzenie energii i przedłużenie czasu życia sieci, w przypadku bezprzewodowych sieci czujnikowych (WSN), jest agregacja danych. W opracowaniu zaproponowano nowy, nierównomierny klaster oparty o protokół agregacji danych. Sieć podzielono na kilka siatek o nierównych wymiarach i wprowadzono rotację głównych klastrów (węzłów) kolejno w każdej siatce. Zrównoważenie rozproszenia energii można osiągnąć przez ustalenie odpowiednich rozmiarów siatek w zależności od ilości węzłów, które uczestniczą w rotacji klastrów głównych w różnych siatkach. Ponadto zastosowano kilka metod podwyższenia sprawności energetycznej. Wyniki symulacji pokazują, że można osiągnąć lepsze parametry w zakresie czasu życia sieci, wydajności energetycznej i zrównoważonego stopnia rozproszenia energii.