Dalian University of Technology

Shenyang Sinochem Agrochemicals R&d Co., Ltd.

Dalian University

University of California

Bin Wang

Rongrong Chen

Changling Liu

Zhinian Li

Qiang Zhang

Aiying Guan

Xiaopeng Wei

Baoshan Chai

Qin Sun

Jie Lan

Jiang Guo

Lizeng Wang

Zhonggang Shan

Cong Feng

Lanhui Ren

Chuanping Song

Jizhong Zhou

Minna Zhu

Pengfei Wang

Yuandi Shi

XiaoPeng Wei

Gang Li

Bin Li

Junfeng Wang

Chen Li

Yuquan Song

Xufeng Sun

Huibin Yang

Peng Liu

Bo Wang

Shaowu Liu

Jinbo Zhang

Shengyue Ji

Xiuhui Chang

Liang Lv

Yongbo Xu

Jiyong Liu

Wei Chen

Yinping Zhou

Peng Hao

Kuo Tian

Zeng Meng

Kaifan Du

Yan Zhou

Xi Zhang

Xiaohan Tang

Hongzhi Luo

Weijing Ren

Xaochun Yang

Alexander Behm

Jiaheng Lu

Yugang Li

Haixiao Li

Jun Tan

Shasha Wu

Fan Yang

The present disclosure discloses a method for watermarking depth image based on mixed frequency-domain channel attention, relating to the field of artificial neural networks and digital image watermarking; the method includes: step 1: a watermark information processor generating a watermark information feature map; step 2: an encoder generating a watermarked image from a carrier image and a watermark information feature map; step 3: a noise layer taking the watermarked image as an input, and generating a noise image through simulated differentiable noise; step 4: a decoder down-sampling the noise image to recover watermark information; step 5: a countermeasure discriminator classifying the carrier image and the watermarked image such that the encoder generates a watermarked image with a high quality. The present disclosure combines the end-to-end depth watermark model with frequency-domain channel attention to expand an application range of the depth neural network in the field of image watermark.

Method for watermarking depth image based on mixed frequency-domain channel attention

The present disclosure discloses a method for encrypting a visually secure image based on adaptive block compressed sensing and non-negative matrix decomposition. Firstly, the Tetrolet transform is performed on the plain image, then the sparsity degree is optimized on the sparsity matrix and the matrix scrambling is performed, such that the sparsity degree in each block region of the image matrix is equalized. Then according to the image information, the sampling number of the block region is calculated, the measurement matrix is constructed and optimized, and the image is compressed by using the optimized measurement matrix. The compressed image is then scrambled and diffused to complete the encryption process. Finally, the image information is embedded into the carrier image through non-negative matrix decomposition to obtain a visually safe ciphertext image. The decryption process is the inverse of the encryption process.

Method for encrypting visually secure image

The present disclosure discloses an image encryption method based on multi-scale compressed sensing and a Markov model. According to the difference in information carried by low-frequency coefficients and high-frequency coefficients of an image, different sampling rates are set for the low-frequency coefficients and the high-frequency coefficients of the image, which can effectively improve the reconstruction quality of a decrypted image. The decrypted image obtained by the present disclosure has higher quality than the decrypted image generated by the existing scheme, and a better visual effect and more complete original image information can be obtained.

Image encryption method based on multi-scale compressed sensing and Markov model

The present invention discloses an image encryption method based on an improved class boosting scheme, which comprises the following steps: acquiring parameters of a hyperchaotic system according to plaintext image information; generating weights required by class perceptron networks through the plain text image information; bringing the parameters into the hyperchaotic system to obtain chaotic sequences, and shuffling the chaotic sequences by a shuffling algorithm; pre-processing the chaotic sequences after shuffling to obtain a sequence required by encryption: and bringing a plaintext image and the sequence into an improved class boosting scheme to obtain a ciphertext image, wherein the improved class boosting scheme is realized based on the class perception networks. The method solves the problems that update and prediction functions in an original boosting network are too simple and easy to predict or the like, so as to obtain the ciphertext image with higher information entropy.

Image encryption method based on improved class boosting scheme

A supporting device and method for a large thin-walled part is disclosed. The supporting device comprises a processing device and a supporting device. A workpiece is positioned between the processing device and the supporting device and is clamped at a periphery in a flexible clamping mode. A cutter in the processing device is connected with an iron core. A coil is wound on the iron core. When the coil is energized, a magnetic field is generated around the coil. A blade part of the cutter is in contact with a processing side of the workpiece. The supporting method combines the magnetorheological fluid technology with the jet supporting technology, and uses a jet impact force to offset part of a milling force. The current magnitude and winding mode of the coil are changed to control magnetic field intensity. The magnetorheological fluid is cured instantly to support the workpiece.

Supporting device and method for large thin-walled part

An automatic removal method of a shrimp line completes the automatic removal of the shrimp line based on a recognition system, a control system, a feed system, a detection device, a loading device and an auxiliary device. Firstly, by adopting a method of photographic contrast, in a moving process of a shrimp to be treated on a device, a photographing mechanism can take candid photographs according to a preset feature picture, and then controls the track of a tool to remove a shrimp line to complete the purpose of automatically removing the shrimp line. The method has small manual operation, high automation, safe operation, high integration degree of the device, portability, and good removal efficiency of the shrimp line, and is suitable for family meals and table food in restaurants.

Automatic removal method of shrimp line

Disclosed is a pyrazole amide compound as represented by general formula I, wherein, Ris selected from hydrogen, C-Calkyl, C-Calkenyl and C-Calkyl; and Rand Rcan be the same or different, and are respectively and independently selected from the C-Calkyl. The general formula I compound has an excellent bactericidal activity, and can be used to prevent and control fungal diseases. 

Pyrazole amide compound and use thereof

Disclosed is a substituted pyrimidine compound having a structure as represented by formula PY.  See the description for the definition of each substituent in the formula. The compound of the present invention provides broad-spectrum bactericidal, pesticidal, and acaricidal activities, provides great control effects against plant diseases such as cucumber downy mildew, corn rust, wheat powdery mildew, rice blast, and cucumber gray mold, specifically provides improved control effects against cucumber downy mildew, corn rust, wheat powdery mildew, and rice blast, provides great control effects against aphid, carmine spider mite, diamondback moth, and armyworm, and acquires great effects at a minimal dosage. The compound of the present invention also provides characteristics such as a simplified preparation method.

Substituted pyrimidine compound and uses thereof

A method for determining a reduction factor of a bearing capacity of an axial load cylindrical shell structure is described. In the method, a depression defect is introduced in a manner of applying a radial disturbance load. Then, an influence rule of a depression defect amplitude of a single point to an axial load bearing capacity is analyzed by using numerical values; then, defect sensitivity analysis is performed on depression defects of multiple points; then, experiment design sampling is performed by using load amplitude values and load position distribution as design variables; and finally, the most disadvantageous disturbance load of the multiple points that limits the defect amplitude is searched for, and a reduction factor of the bearing capacity of the axial load cylindrical shell structure is determined.

Method for determining reduction factor of bearing capacity of axial load cylindrical shell structure

The invention discloses a homopiperony lamine compound which has a structural general formula I as follows as shown in the specification:  The compound shown as the general formula I has broad-spectrum bactericidal and insecticidal activity in the field of agriculture. The compound shown as the general formula I has a good prevention effect on various germs such as cucumber downy mildew, wheat powdery mildew,, rice blast and cucumber gray mold, and particularly, still has the good prevention and control effect on the cucumber downy mildew, theand the wheat powdery mildew at a lower dosage. At the same time, a part of compound has better insecticidal activity, and can be used for preventing and controlling various insect pests such as diamondback moths,, armyworms andboisdu.

Substituted pyrimidines as pharmaceuticals and insecticides

A computer process, called VGRAM, improves the performance of these string search algorithms in computers by using a carefully chosen dictionary of variable-length grams based on their frequencies in the string collection. A dynamic programming algorithm for computing a tight lower bound on the number of common grams shared by two similar strings in order to improve query performance is disclosed. A method for automatically computing a dictionary of high-quality grams for a workload of queries. Improvement on query performance is achieved by these techniques by a cost-based quantitative approach to deciding good grams for approximate string queries. An approach for answering approximate queries efficiently based on discarding gram lists, and another is based on combining correlated lists. An indexing structure is reduced to a given amount of space, while retaining efficient query processing by using algorithms in a computer based on discarding gram lists and combining correlated lists.

Method and apparatus for improving performance of approximate string queries using variable length high-quality grams

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Liaoning, China

Bin Wang