No abstract

Cu@PANI core–shell nanospheres synthesized by a facile hydrothermal method exhibit strong light absorption, good stability and efficient separation of photo-generated electron–hole pairs.

An environmentally friendly strategy was performed to prepare porous graphene nanosheets (PGS) through gas-exfoliation assisted KOH activation by using Plumeria rubra as the precursor for the first time. Because the synergistic reaction of various graphitization temperature and activating agent amounts, the precursor was gradually exfoliated by released gases, graphitizing at high temperatures and forming porous graphene nanosheets during the graphitization. PGS-2-1000 with a hierarchical porous structure possessed high graphitization (I D/I G = 0.77, I 2D/I G = 0.53), ultrahigh specific surface (1581 m2 g–1) and large pore volume (0.916 cm3 g–1). A facile in situ photoreduction treatment was utilized to form a Cu/PGS photocatalyst composed of nonsemiconductor plasmonic Cu NPs and porous graphene nanosheets, exhibiting the hydrogen evolution rate of 4.87 mmol g–1 h–1, which is 4-fold as high as that of single Cu NPs. The photostability of Cu/PGS-2-1000 was investigated in five consecutive runs of 30 h accumulative irradiation. The PGS could act as an electron transport bridge to boost the separation of electron–hole pairs and the uniform distribution of Cu NPs, even serve as a photocatalyst for hydrogen generation. Furthermore, a possible mechanism was proposed to illustrate the circumstantial charge transfer channel as well as the improvement of photocatalytic activity.

No abstract

Laser scanning ranging radar is an important tool for machines to perceive the surrounding environment and is widely used in the power, forestry, surveying and mapping industries. At present, the loading of oil and grain oil in our country generally adopts the way of manual loading. The loading arm is inserted into the tank of the tanker for refueling, and the loading operation is very frequent. In order to realize automatic control of grain and oil loading, radar is needed to assist the robot to locate the oil port of the tanker. In this paper, a 360-degree laser scanning ranging radar is used to collect characteristic data of oil hole of tanker for the first time in simulated environment. Cubic spline interpolation was used to smooth and correct the radar scan data. Based on the feature that the distance data of oil port will change rapidly, an edge feature recognition algorithm is proposed to screen and calculate the target point, and then convert it to cartesian coordinate point, which can be used as the positioning target of the robot unit of quantitative loading system. The experimental results show that the method can locate the center of the circle accurately and meet the requirement of feature recognition accuracy.