Experimental study on soil improvement by electrochemical injection of calcium chloride solutions with time interval.

An improved electroosmotic method is proposed in this paper to enhance the non-uniform effect and efficiency of electroosmotic process. Such method is electroosmotic flow with injection of calcium chloride through the anode, followed by injection through the central tube (a tube at the midpoint between the anode and the cathode) with a suitable time interval between injections. Experimental results indicate that using this method can significantly improve the non-uniform reduction in water content throughout the soil, mitigate the formation of cracks in the anode section, and therefore considerably inhibit the increase in the electric resistance.

Analysis of the Current Situation of Teaching and Learning of Ideological and Political Theory Courses by Deep Learning.

The objectives are to solve the problems existing in the current ideological and political theory courses, such as the difficulty of classroom teaching quality assessment, the confusion of teachers' classroom process management, and the lack of objective assessment basis in teaching quality monitoring. Based on Artificial Intelligence (AI) technology, a designed evaluation method is proposed for teachers' classroom teaching and solves some problems such as high system cost, low evaluation accuracy, and imperfect evaluation methods. Firstly, the boundary algorithm system is introduced in the research, and the Field Programmable Gate Array (FPGA) by deep learning (DL) is used to accelerate the server hardware network platform and equipped with pan tilt zoom (PTZ) and manage multiple AI + embedded visual boundary algorithm devices.

Laboratory Study on Improvement of Expansive Soil by Chemically Induced Calcium Carbonate Precipitation.

This paper proposes the use of calcium carbonate (CaCO) precipitation induced by the addition of calcium chloride (CaCl) and sodium carbonate (NaCO) solutions as a procedure to stabilize and improve expansive soil. A set of laboratory tests, including the free swell test, unloaded swelling ratio test, unconfined compression test, direct shear test, scanning electron microscopy (SEM) test, cyclic wetting-drying test and laboratory-scale precipitation model test, were performed under various curing periods to evaluate the performance of the CaCO stabilization. It is concluded from the free swell tests and unloaded swelling ratio tests that the addition of CaCl and NaCO can profoundly decrease soil expansion potential.

FCG-ASpredictor: An Approach for the Prediction of Average Speed of Road Segments with Floating Car GPS Data.

The average speed (AS) of a road segment is an important factor for predicting traffic congestion, because the accuracy of AS can directly affect the implementation of traffic management. The traffic environment, spatiotemporal information, and the dynamic interaction between these two factors impact the predictive accuracy of AS in the existing literature, and floating car data comprehensively reflect the operation of urban road vehicles. In this paper, we proposed a novel road segment AS predictive model, which is based on floating car data.

Loading Cu-doped magnesium oxide onto surface of magnetic nanoparticles to prepare magnetic disinfectant with enhanced antibacterial activity.

In this article, Cu-doped magnesium oxide was loaded onto the surface of FeO magnetic nanoparticles via a hydrophilic carbon intermediate layer to synthesize FeO@C@MgO-Cu magnetic composite. The potential application as disinfectant in water purification was investigated by examining the antibacterial activity of the FeO@C@MgO-Cu composite toward Gram negative Escherichia coli and Gram positive Staphylococcus aureus. The practical bactericidal efficiency in inactivation experiment was also studied and the copper doping amount was optimized.