本文以棉杆生物炭中水可提取的有机物(water extracted organic matter,WEOM)为研究对象,采用二阶导数荧光和二维相关光谱分析方法研究低温(300℃)和高温(600℃)热解温度下生物炭WEOM的荧光组分变化及其与Cu(Ⅱ)离子的络合特性.研究结果表明,低温和高温热解生物炭WEOM的含量分别为20172.3 mg·kg-1和5.9 mg·kg-1;低温热解生物炭WEOM以类腐殖酸为主,而高温热解生物炭WEOM以类富里酸为主.二维相关光谱(2D-COS)分析结果显示,低温热解生物炭WEOM中类腐殖酸(409 nm)能够优先与Cu(Ⅱ)离子发生络合作用,而高温热解生物炭WEOM中类富里酸组分(372 nm)优先与Cu(Ⅱ)离子结合.300℃热解生物炭WEOM-Cu(Ⅱ)的lgK值在4.85-5.30之间,类富里酸物质表现出较高的lgK值.600℃热解棉杆生物炭WEOM与Cu(Ⅱ)的lgK值在4.23-5.19之间,随着波长的增加,lgK值呈现逐级增大的趋势,且具有较高的荧光配位比,研究结果能够为生物炭用于土壤改良和修复提供指导依据.

The capacity to model temporal dependency by Recurrent Neural Networks (RNNs) makes it a plausible selection for the multi-object tracking (MOT) problem. Due to the nonlinear transformations and the unique memory mechanism, Long Short-Term Memory (LSTM) can consider a window of history when learning discriminative features, which suggests that the LSTM is suitable for state estimation of target objects as they move around. This paper focuses on association based MOT, and we propose a novel Siamese LSTM Network to interpret both temporal and spatial components nonlinearly by learning the feature of trajectories, and outputs the similarity score of two trajectories for data association. In addition, we also introduce an online metric learning scheme to update the state estimation of each trajectory dynamically. Experimental evaluation on MOT16 benchmark shows that the proposed method achieves competitive performance compared with other state-of-the-art works.

The artificial landmark positioning technology is one of the visual positioning methods of the inspection robot. Although this technology has simple algorithm and low maintenance cost, it is difficult to be widely used due to the limitations in some special environment. For example, people are not allowed to set a large number of landmarks on the ground in some workshops. In this paper, we propose a visual self-positioning method based on the symmetrical tangential artificial landmarks. The basic idea of this method is: firstly, a small number of tangential artificial landmarks are set on the walls or machine tools on both sides, secondly, the perspective model and triangulation method are used to realize the self-positioning of the inspection robot. The experimental results show that the method is simple to operate and has high positioning accuracy, which can meet the needs of the inspection robot.

This paper summarizes several flotation methods of copper and molybdenum ore, introduces the research progress of flotation collector and inhibitor of copper and molybdenum ore, and points out that the research and development of new efficient collector and copper and molybdenum beneficiation inhibitor is the key to comprehensive recovery of copper molybdenum ore resources.

According to the mineralogy of the polymetallic ore, the process of preferential flotation of copper was adopted, and the separation of lead, zinc and sulfur were carried out and implemented. Four products, including copper concentrate assaying 22.67% Cu at a recovery of 91.77%, lead concentrate assaying 18.10% Pb at a recovery of 12.74%, zinc concentrate assaying 47.13% Zn at a recovery of 85.89%, sulfur concentrate assaying 37.42% S and a recovery of 31.40%, were obtained by the preferential flotation in the order of copper, lead, zinc and sulfur. The flowsheet recommanded provides the reference for the future commercial operation of the processing plant.