Abstract: An additive for increasing an early activity index of nickel slag and a preparation method thereof, belonging to the field of additive technologies, are provided. The preparation method includes: successively adding maleic anhydride and triethanolamine to a reactor; setting the heating temperature to 50° C. for reaction, where a large amount of heat is released during the reaction; when the reaction temperature decreases to 60° C. after heat is released in the reaction, allowing triethanolamine maleate to react with a solution of bromine in carbon tetrachloride; adding water to the mixture, where the weight percentage content of the added water is 60%; separating and removing carbon tetrachloride from water; and conducting uniform stirring to obtain the additive. A molar ratio of the maleic anhydride, the triethanolamine, and bromine is (0.2-1):1:(0.2-1), and a molar ratio of the maleic anhydride to the bromine is 1:1.

Abstract: The wastewater treatment process by using activated sludge process often appear the sludge bulking fault phenomenon. Due to production conditions of wastewater treatment process, the correlation and restriction between variables, the characteristics of nonlinear and time-varying, which lead to hard identification of sludge bulking; Sludge bulking is not easy to detect and the reasons resulting in the sludge bulking are difficult to identify, are current RBF neural network is designed for detecting and identifying the causes of sludge volume index (SVI) in this patent. The method builds soft-computing model of SVI based on recurrent RBF neural network, it has been completed to the real-time prediction of SVI concentration and better accuracy were obtained. Once the fault of sludge bulking is detected, the identifying cause variables (CVI) algorithm can find the cause variables of sludge bulking.

Abstract: A processing method for high-order tensor data, which can avoid that the vectorization process of the image observation sample set damage the internal structure of the data, simplify the large amount of redundant information in the high-order tensor data in the image observation sample set, and improve the image processing speed. In this processing method for high-order tensor data, the high-order tensor data are divided into three parts: the shared subspace component, the personality subspace component and the noise part; the shared subspace component and the personality subspace component respectively represent the high-order tensor data as a group of linear combination of the tensor base and the vector coefficient; the variational EM method is used to solve the base tensor and the vector coefficient; design a classifier to classify the test samples by comparing the edge distribution of samples.

Abstract: The present disclosure discloses a porous structure Si/Cu composite electrode of a lithium ion battery and a preparation method thereof. The composite electrode comprises an active substance, a bulk porous Cu and a current collector, wherein the active substance Si is embedded into the bulk porous Cu, and the bulk porous Cu is in metallurgical bonding with the current collector and plays a dual role of “binder” and “conductive agent”, which not only relieves the pulverization and the shedding of the active substance Si particles but also improves electron transmission efficiency; and meanwhile, the porous structure increases the contact area between the active substance Si and electrolyte and increases the reaction efficiency of lithium insertion combination.

Abstract: The invention disclose a picosecond-nanosecond laser composite asynchronous ceramics polishing method. First, a picosecond laser is used to scan and irradiate the ceramic surface along the scanning path. At the same time, ceramic surface is initially flattened and the electronic state of materials is removed by picosecond laser to produce micro-nanoparticles. Micro-nanoparticles exist as ionized state in the adjacent space region of irradiated ceramics surface. Then, low energy density nanosecond laser is used according to a preset time to irradiate and melt these micro-nanoparticles which can easily form a dense and smooth fine crystal melting layer to achieve the polishing effect. The present disclosure fixes the generation of micro-cracks and pores in traditional laser polishing process. It overcomes the shortcomings of traditional laser polishing such as large thermal influence zone, easy to generate micro-cracks and pores on the surface, etc.

Abstract: A method for separating nickel and cobalt from a solution includes the steps of: obtaining a solution containing nickel and cobalt by acid leaching of a cathode material of a waste lithium-ion battery, adjusting the pH of the solution containing nickel and cobalt to 3.5 to 4.5, adding extractants for extraction to separate the nickel and the cobalt. The cobalt enters the organic phase, the nickel remains in the aqueous phase, and the extractants contain an acidic extractant and an alkaline extractant. The method for efficiently separating nickel and cobalt through extraction adopts a non-saponification extraction method without using NaOH as a saponifier, thereby avoiding the discharge of saponification wastewater. Under acidic conditions, the cobalt in an acidic leaching solution is effectively extracted and separated into the organic phase through synergistic action of the acidic extractant and the alkaline extractant, thereby realizing the separation of nickel from cobalt.

Abstract: An experimental device for studying the propagation characteristics of stress wave in jointed rock mass at high temperatures. The device includes a launch system, a loading system, a measuring system and a heating device. The heating device can be heated in sections to meet complicated test requirements. The measuring system includes two sets of measuring devices to ensure test accuracy. One measuring device uses a strain gauge to measure the local displacement of rock, thus obtaining the change of wave velocity; this method can be used when sample temperature is low. The other device adopts digital image processing technology. The experimental device can control the initial wave form and initial wave velocity, which can better meet the test requirements. The position of the sample can be fine-tuned to avoid the impact of errors left by rock processing on the test results.

Abstract: A method of recovering bromide from bromine-containing smelting ash relates to the field of high efficient separation and recovery of bromine by total wet method. It especially relates to the method of high efficiency separation of bromine salt and lead, zinc recovery of circuit board smelting ash by two-step method. It mainly comprising: sub-molten salt leaching, washing, separate Lead and zinc by adjusting the pH of industrial sulfuric acid, membrane separation and concentration, reuse of water, crude bromine salt recovery by evaporation crystallization of bromine salt. Compared with the traditional baking and recycling process of ash, the invention adopts sodium hydroxide submolten salt leaching technology and membrane separation and concentration technology, to reduce the reaction temperature and tailings discharge greatly, which has a good effect of energy saving and emission reduction.

Abstract: An intelligent identification method of sludge bulking based on type-2 fuzzy-neural-network belongs to the field of intelligent detection technology. The sludge volume index (SVI) in wastewater treatment plant is an important index to measure the sludge bulking of activated sludge process. However, poor production conditions and serious random interference in sewage treatment process are characterized by strong coupling, large time-varying and serious hysteresis, which makes the detection of SVI concentration of sludge volume index extremely difficult. At the same time, there are many types of sludge bulking faults, which are difficult to identify effectively. Due to the sludge volume index (SVI) is unable to online monitoring and the fault type of sludge bulking is difficult to determined, the invention develop soft-computing model based on type-2 fuzzy-neural-network to complete the real-time detection of sludge volume index (SVI).

Abstract: The present disclosure discloses a detecting device and method for acoustic emission on high-frequency motion rubbing pair surface. A linear reciprocating slide system with high efficiency and high conductivity is designed based on the method. Reciprocating linear slide system is the main structure of the detection device which is is composed of probe plate, tight clips, vacuum cover, slip wire and insulation box. The reciprocating slide solves the problem of data distortion caused by high frequency jitter when connecting ordinary data lines, and can realize stable and reliable connection between high frequency reciprocating rubbing experiment and acoustic emission detection equipment. The acoustic emission probe on the surface of rubbing pair connects with the preamplifier by linear reciprocating slide.

Abstract: An additive for increasing an early activity index of nickel slag and a preparation method thereof, belonging to the field of additive technologies, are provided. The preparation method includes: successively adding maleic anhydride and triethanolamine to a reactor; setting the heating temperature to 50° C. for reaction, where a large amount of heat is released during the reaction; when the reaction temperature decreases to 60° C. after heat is released in the reaction, allowing triethanolamine maleate to react with a solution of bromine in carbon tetrachloride; adding water to the mixture, where the weight percentage content of the added water is 60%; separating and removing carbon tetrachloride from water; and conducting uniform stirring to obtain the additive. A molar ratio of the maleic anhydride, the triethanolamine, and bromine is (0.2-1):1:(0.2-1), and a molar ratio of the maleic anhydride to the bromine is 1:1.

Abstract: Provided is a method for laser additive manufacturing based on keyhole effects. A welding wire and a laser beam are arranged, at certain angles, on two sides of a normal line of a substrate respectively. The laser beam is applied on the welding wire to generate a deep penetration melting keyhole. The welding wire absorbs energy of the laser beam and is heated and melted in a deep penetration melting mode. The welding wire transmits energy to a surface of the substrate to form a cladding layer. The laser beam irradiates the surface of the substrate after passing through the welding wire, and preheats the surface of the substrate in a heat conduction mode.

Abstract: The present invention relates to a clustering method based on iterations of neural networks, which comprises the following steps: step 1, initializing parameters of an extreme learning machine; step 2, randomly choosing samples of which number is equal to the number of clusters, each sample representing one cluster, forming an initial exemplar set and training the extreme learning machine; step 3, using current extreme learning machine to cluster samples, which generates a clustering result; step 4, choosing multiple samples from each cluster as exemplars for the cluster according to a rule; step 5, retraining the extreme learning machine by using the exemplars for each cluster obtained from step 4; and step 6, going back to step 3 to do iteration, otherwise obtaining and outputting clustering result until clustering result is steady or a maximal limit of the number of iterations is reached.

Abstract: A computing system is designed for measuring the A2/O effluent total phosphorus based on data-driven method. Several related variables are obtained by analyzing the relationship between effluent total phosphorus and other process variables. In addition, a hardware platform is designed and built to further analysis sample information of each variable. Finally, the computing system for measuring total phosphorus in effluent is developed by combining the hardware and software as provided in implementations herein.

Abstract: The invention discloses a method for three-dimensional human pose estimation, which can realize the real-time and high-precision 3D human pose estimation without high configuration hardware support and precise human body model. In this method for three-dimensional human pose estimation, including the following steps: (1) establishing a three-dimensional human body model matching the object, which is a cloud point human body model of visible spherical distribution constraint. (2) Matching and optimizing between human body model for human body pose tracking and depth point cloud. (3) Recovering for pose tracking error based on dynamic database retrieval.

Abstract: 3D reconstruction method based on deep learning includes the following steps: (1) The potential vector constrained in the input image is used to reconstruct the complete 3D shape of the target, and the mapping between the part and the complete 3D shape is learned, then the 3D reconstruction of a single depth image is realized. (2) Learn the intermediate feature representation between the 3D real object and the reconstructed object to obtain the target potential variables in step (1). (3) The voxel floating value predicted in step (1) is transformed into binary value by using the limit learning machine to complete high-precision reconstruction.

Abstract: A light homogenization method for multi-source large-scale surface exposure 3D printing, comprising the following steps: projecting pure-color images of a first color and a second color having identical attributes capturing an image of an overlapping portion and calculating height and width information of the overlapping portion; splitting a pre-processed slice and respectively recording width and height information of two slices resulting from the splitting and generating two grayscale images having identical attributes thereto; counting power values of identical positions of slices in different grayscale values, performing a further calculation to obtain a projection mapping function, using the projection mapping function as a basis for performing optimization on grayscale interpolation of the generated images; and fusing the processed grayscale images and the originally split two slices to obtain a surface exposure 3D printing slice having a uniform brightness in final shaping.

Abstract: The present invention relates to a visual efficacy measuring method for objects in different light environments, which comprises: (a) setting a light environment; (b) measuring a relationship between color temperature and time; (c) a driver visually recognizing a target object; (d) resetting the light environment, and repeating the step (c); (e) processing the visual recognition information data collected by the experiments so as to establish a relationship of the visual recognition time in relation with the light environmental parameters of color temperature, color rendering index and brightness; (f) performing visual efficacy analysis according to the processing results of the visual recognition information data.

Abstract: A processing method for image tensor data, which can greatly reduce the number of free parameters in the model, limit the weight layer flexibly, and can be applied to any order of image tensor data. In this processing method for image tensor data, TTRBM model of Restricted Boltzmann machine with tensor train format is introduced. The input and output data of this method are both represented by tensors, and the weight of the middle layer is also represented by tensors, and the restricted weight has the structure of tensor train. The number of free parameters in the middle layer is controlled by adjusting the rank of tensor train decomposition. The rank of TT decomposition is adjusted, and different feature representations with the same size are expressed.

Abstract: A processing method for high-order tensor data, which can avoid that the vectorization process of the image observation sample set damage the internal structure of the data, simplify the large amount of redundant information in the high-order tensor data in the image observation sample set, and improve the image processing speed. In this processing method for high-order tensor data, the high-order tensor data are divided into three parts: the shared subspace component, the personality subspace component and the noise part; the shared subspace component and the personality subspace component respectively represent the high-order tensor data as a group of linear combination of the tensor base and the vector coefficient; the variational EM method is used to solve the base tensor and the vector coefficient; design a classifier to classify the test samples by comparing the edge distribution of samples.