The NiS2 nanosheet array on Ni foil (NiS2/NF) was prepared using an in situ growth strategy and sulfidation method and was used as the cathode of lithium sulfur battery. The unique nanostructure of the NiS2 nanosheet array can provide abundant active sites for the adsorption and chemical action of polysulfides. Compared with the sulfur powder coated pure NF (pure NF-S) for lithium sulfur battery, the sulfur powder coated NiS2/NF (NiS2/NF-S) electrode exhibits superior electrochemical performance. Specifically, the NiS2/NF-S delivered a high reversible capacity of 1007.5 mAh g−1 at a current density of 0.1 C (1 C= 1675 mA g−1) and kept 74.5% of the initial capacity at 1.0 C after 200 cycles, indicating the great promise of NiS2/NF-S as the cathode of lithium sulfur battery. In addition, the NiS2/NF-S electrode also showed satisfactory electrochemical performance when used as the cathode for sodium sulfur battery.
This study analyses physicochemical properties of soils from coal waste piles at the Naluozhai Coal Mine that were dumped 5, 15, 25 and 35 years ago, respectively. The soil at a 20-year old coal waste site where Vetiveria Zizanioides was cultivated was taken as a control. Principal components were analysed to determine their weights, and the weighted summation method was used to calculate soil quality integrated index (SQI). Eight indices were considered to assess land suitability for vegetation restoration, namely pH value, soil layer depth, field moisture capacity, stable infiltration, volume weight, total porosity, organic matter content and vegetation coverage. The results showed that vegetative restoration depends primarily on the organic matter content of the coal waste pile; the control pile recorded the highest SQI and it was satisfactory for vegetation restoration; the 35-year old pile was encouraging for vegetation restoration, second only to the control pile. 相似文献
Source localization accuracy is very sensitive to sensor location error.This paper performs analysis and develops a solution for locating a moving source using time difference of arrival(TDOA)and frequency difference of arrival(FDOA)measurements with the use of a calibration emitter.Using a Gaussian random signal model,we first derive the Cram′er-Rao lower bound(CRLB)for source location estimate in this scenario.Then we analyze the differential calibration technique which is commonly used in Global Positioning System.It is indicated that the differential calibration cannot attain the CRLB accuracy in most cases.A closed-form solution is then proposed which takes a calibration emitter into account to reduce sensor location error.It is shown analytically that under some mild approximations,our approach is able to reach the CRLB accuracy.Numerical simulations are included to corroborate the theoretical developments. 相似文献
Many algorithms have been proposed to find sparse representations over redundant dictionaries or transforms. This paper gives
an overview of these algorithms by classifying them into three categories: greedy pursuit algorithms, lp norm regularization based algorithms, and iterative shrinkage algorithms. We summarize their pros and cons as well as their
connections. Based on recent evidence, we conclude that the algorithms of the three categories share the same root: lp norm regularized inverse problem. Finally, several topics that deserve further investigation are also discussed.
Supported by the Joint Research Fund for Overseas Chinese Young Scholars of the National Natural Science Foundation of China
(Grant No. 60528004) and the Key Project of the National Natural Science Foundation of China (Grant No. 60528004) 相似文献