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Introduction

Bimonthly, started in 1957
Administrator
Shanxi Provincial Education Department
Sponsor
Taiyuan University of Technology
Publisher
Ed. Office of Journal of TYUT
Editor-in-Chief
SUN Hongbin
ISSN: 1007-9432
CN: 14-1220/N

Links

Shanxi Provincial Education Department

Taiyuan University of Technology

location： home> 2023,54(05)

Membership Inference Defense Algorithm Based on Neural Network Model

【Purposes】 Focusing on the issue that the machine learning model may leak the privacy of training data during training process, which could be used by membership inference attacks, and then for stealing the sensitive information of users, an Expectation Equilibrium Optimization Algorithm (EEO) based on neural network is proposed. 【Methods】 The algorithm adopts the strategy of adversarial training and optimization, and can be divided into two loops: the inner loop assumes a strong enough oppon...

Taiyuan University of technology 2023,54(05): LYU Yanchao YANG Yuli CHEN Yongle. ;

PDFviewed：abstract

A Certificateless Two-party Authenticated Key Agreement Protocol under the Lippold Security Model

【Purposes】 By analyzing the session partial key disclosure camouflage attack (P-KCI) in Lippold security model, it is found that the existing certificateless key agreement protocols have security defects that they can’t resist the P-KCI attack. 【Methods】 In this paper, eight different key combination disclosure attacks of session partial key disclosure camouflage attack in Lippold security model are summarized. Besides, the security defects of existing certificateless key agreement protocols...

Taiyuan University of technology 2023,54(05): ZHANG Mengnan MA Yao CHEN Yongle YU Dan. ;

PDFviewed：abstract

Speech Emotion Recognition Based on Multi-task Deep Feature Extraction and MKPCA Feature Fusion

【Purposes】 Speech emotion recognition allows computers to understand the emotional information contained in human speech, and is an important part of intelligent human-computer interaction. Feature extraction and fusion are key parts in speech emotion recognition systems, and have an important impact on recognition results. Aiming at the problem of insufficient emotional information contained in traditional acoustic features, a deep feature extraction method based on multi-task learning for opt...

Taiyuan University of technology 2023,54(05): LI Baoyun ZHANG Xueying LI Juan HUANG Lixia CHEN Guijun SUN Ying. ;

PDFviewed：abstract

EEG Emotion Recognition Based on Deep Compressed Sensing

【Purposes】 Deep compressed sensing is the use of deep learning to solve the problems existing in traditional compressed sensing, such as the adaptability of observation matrix to traditional signal compression and the dependency on dictionary by reconstruction algorithm. 【Methods】 In this paper, the deep belief network (DBN) is used to adaptively compress the signal without destroying the randomness of observation matrix. At the same time, the stacked auto encoder (SAE) is used to train the r...

Taiyuan University of technology 2023,54(05): FENG Jinxin ZHANG Xueying ZHANG Jing CHEN Guijun HUANG Lixia WANG Suzhe. ;

PDFviewed：abstract

A Predictive Model of Reading Comprehension Based on MEG Imaginary Coherence Functional Connections

【Purposes】 Reading comprehension is one of the most important cognitive abilities of human beings. Objective indicators should be provided in order to evaluate human reading comprehension ability. 【Methods】 A prediction model based on magnetoencephalogram (MEG) imaginary coherent brain functional connections is proposed in this paper. The imaginary coherence algorithm is used to construct the whole brain MEG functional connections, and the features are selected by univariate feature selection...

Taiyuan University of technology 2023,54(05): ZHAO Limin XIANG Jie WANG Bin WU Shuhong. ;

PDFviewed：abstract

A Mortality Predicting Model for Heart Failure Patients Based on AdaBoost with Multi-kernel SVM

【Purposes】 Heart failure is a complex clinical syndrome with significant features such as high morbidity, high mortality, and poor prognosis. It is the terminal stage in the development of all types of heart disease and seriously threatens human health. Therefore, early prognostic assessment studies of heart failure patients are crucial to help the survival of patients. 【Methods】 A heart failure mortality assessment model (MK-SVM-AdaBoost) based on Multi Kernel Support Vector Machine (MK-SVM)...

Taiyuan University of technology 2023,54(05): LIU Xiaoyu LI Dengao ZHAO Jumin. ;

PDFviewed：abstract

Classification Method of Pancreatic Single Cells Based on Improved Large Margin Nearest Neighbor

【Purpose】 Cell type identification is one of the key steps in single cell RNA sequencing. 【Methods】 To solve the problem of low classification accuracy with single cell RNA sequencing data and insufficient measurement of distance characteristics of each cell type, a Large Margin Nearest Neighbor (LMNN) based on Multi Similarity Loss (MSL) metric learning method is proposed to adapt LMNN to the single cell classification field. Multi Similarity Loss can be used to measure the similarity from m...

Taiyuan University of technology 2023,54(05): XI Ziyi LU Jiayu CHEN Zhuo XIANG Jie WANG Bin. ;

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Construction Method and Application of Brain Functional Network Based on Link Prediction

【Purposes】 The brain functional network construction method of resting state functional magnetic resonance imaging (rs-fMRI) has been relatively mature, but the fMRI signal acquisition process is affected by acquisition equipment, subjects’ own reasons, noise, and other factors. The traditional rs-fMRI brain network construction method may have false links or missing edges, the network expression accuracy and the stability of repeated measurement needs to be further improved. 【Methods】 In or...

Taiyuan University of technology 2023,54(05): LI Yiru XUE Jiayue WANG Zijian YANG Pengfei XIANG Jie. ;

PDFviewed：abstract

A Method of Link Prediction of Sequential Functional Brain Networks Based on Generative Adversarial Network

【Purposes】 For the purpose of predicting the functional brain network and providing reference for studying the evolution patterns of functional brain network, a model of sequential brain function network based on Generative Adversarial Networks has been built. 【Methods】 The topological and temporal characteristics of brain function network are captured through Graph Convolutional Network and long-term and short-term memory network separately, and through feature fusion in the whole connection...

Taiyuan University of technology 2023,54(05): WANG Zijian XUE Jiayue YANG Pengfei LI Yiru XIANG Jie. ;

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Research on Feature Selection Method of Group Lasso Hypergraph Regularization and Depression Classification

【Purposes】 In the research of depression classification and diagnosis, feature selection plays a crucial role. 【Methods】 To address the issues of missing group effect information in existing hypergraph regularized feature selection methods, the group lasso-based hypergraph regularized feature selection approach is proposed. Specifically, the functional magnetic resonance imaging (fMRI) dataset is preprocessed first for depression. Second, on the basis of the preprocessed fMRI data, five brain...

Taiyuan University of technology 2023,54(05): GUO Dongxi LI Yao CHEN Junjie. ;

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Discriminant Subgraph Screening Based on Frequency Sorting and Its Application to Schizophrenia Classification

【Purposes】 Studies of brain networks in schizophrenia (SCZ) have shown that both structural and functional networks are altered in patients. Extracting accurate discriminative features from brain networks as classification features can improve the classification accuracy of SCZ and avoid the deficiencies caused by subjective diagnosis relying on scales. Traditional brain network features such as betweenness centrality and clustering coefficients lose topological information, and minimum spannin...

Taiyuan University of technology 2023,54(05): YANG Pengfei XUE Jiayue WANG Bin WU Shuhong. ;

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Dust Image Depth Prediction Based on Feature Sparsity

【Purposes】 Aiming at the problem of low accuracy of single image depth prediction in dusty environment, a dust image depth prediction network based on sparse input features is proposed. 【Methods】 First, by using the relationship between the direct transmission rate of dust image and depth information, a depth prediction network is designed to obtain a depth prediction map. With the prior principle of image color attenuation, the sparse depth features of the dust image are further obtained fro...

Taiyuan University of technology 2023,54(05): JIA Huimin WANG Yuanyu. ;

PDFviewed：abstract

Tomato Leaf Disease Recognition Based on Improved ACGAN Data Enhancement

【Purposes】 At present, tomato disease recognition based on convolutional neural network relies on a large amount of labeled data, and the lack of data samples is an important problem affecting the accuracy of tomato disease recognition. 【Methods】 Therefore, in order to obtain enough tomato leaf disease images and improve the accuracy of tomato disease recognition, a new data augmentation method HAM_ACGAN (Hidden parameter label and Attention attached Multi scale ACGAN)based on Generative Adve...

Taiyuan University of technology 2023,54(05): LUO Dongsheng ZHOU Zijing WANG Zhiwei LI Haifang. ;

PDFviewed：abstract

Efficient Data Compression for CVSLAM Based on Arithmetic Coding in ORB-SLAM2 Framework

【Purposes】 Collaborative Visual Simultaneous Localization and Mapping (CVSLAM) has attracted more and more researchers’ attention in the field of robotics owing to its low cost of required sensors, the ability to acquire rich environmental information, and its rapidity and flexibility. Realizing the efficient transmission of image information is one of the key problems that need to be solved to improve the efficiency of CVSLAM map building. In multi-machine cooperative operation, data transmis...

Taiyuan University of technology 2023,54(05): WANG Yinggang CHENG Lan YIN Jiaqi XU Xinying ZHANG Zhe. ;

PDFviewed：abstract

Multipath Estimation Algorithm Based on Improved Unscented Kalman Filter

【Purposes】 In navigation and positioning system, the multipath estimation algorithms based on Kalman filter framework can effectively improve the positioning accuracy. When the initial value of the process noise and observation noise covariance of such algorithms is improperly selected, a large error or even divergence of the estimation results may occur. In addition, because the algorithm is based on the minimum mean squared error criterion, it is susceptible to non-Gaussian noise, especially ...

Taiyuan University of technology 2023,54(05): ZHANG Jinheng CHENG Lan ZHANG Jing NI Zihang YAN Gaowei. ;

PDFviewed：abstract

Design of Ka Band Bandpass Filter Based on Radial Stub

【Purposes】 In communication systems, filters play an important role in filtering out-of-band signals. For the traditional parallel coupled line filter and clip line filter, the size is large and the parasitic pass band problems exist. 【Methods】 A small Ka band pass filter is designed by using radial stub. In this paper, the radial is analyzed, calculated, and simulated. Then, the filter is modeled and simulated with HFSS. According to the simulation results, the initial model is optimized and...

Taiyuan University of technology 2023,54(05): WANG Na JIANG Rundong HAN Peng YAO Jinjie ZHAO Xue PAN Ruipeng. ;

PDFviewed：abstract

Calibrating-free Portable Magnetoelastic Device for Accurate Detection of Anti-CSFV-E2 in Porcine Serum

【Purposes】 Error calibration between equipment manufacturing has become a practical challenge for various inspection methods. 【Methods】 In this paper, a portable magnetoelastic (ME) biodetection device is proposed for calibration-free detection of classical swine fever virus E2 antibody (anti-CSFV E2), on the basis of magnetostrictive effect, by monitoring the resonance frequency shift caused by anti-CSFV E2 to react to the concentration of analytes. The device consists of two parts, namely t...

Taiyuan University of technology 2023,54(05): GUO Xing;LUO Man; HOU Jianru ;LI Yuchao ; WANG Shuhua; CHENG Xiaoliang;JIAN Aoqun ;YUAN Zhongyun ;SANG Shengbo. ;

PDFviewed：abstract

In Vitro Experimental Simulation of Rheological Properties of Diseased Red Blood Cells Based on Microflow Technique

【Purposes】 Diseases such as hypertension and malaria infection often raise the rigidity of red blood cells (RBCs). Consequently, the morphology and rheological characteristics of RBCs change, which means understanding the deformability and flow characteristics of sick RBCs is of great significance for clinical diagnosis and drug treatment. 【Methods】 In this work, RBCs were treated with a series of fixatives to mimic sick RBCs. Devices such as microfluidic chip, injection pump, fluorescence in...

Taiyuan University of technology 2023,54(05): CHEN Lingfeng SONG Hui LI Fen. ;

PDFviewed：abstract

Effects of High Mobility Group Box 1 on Migration and Expression of Related Proteins in Umbilical Vein Endothelial Cells

【Purposes】 The establishment of microcirculation in tissue engineering plays an important role in biomaterials implantation, in which the migration of vascular endothelial cells is the main factor affecting rapid angiogenesis. Tissue and organ injury often leads to inflammation, and high mobility group box 1 (HMGB1) is the initiating factor of inflammation, while its effect on the migration of endothelial cells remains unclear. 【Methods】 Human umbilical vein endothelial cells (HUVECs) were ex...

Taiyuan University of technology 2023,54(05): DU Miaomiao; MA Haiyang; HOU Tian; GUO Jiqiang; AN Meiwen. ;

PDFviewed：abstract

Synthesis and Surface Properties of Oleyl Alcohol Sulfonate Branched-chain Surfactants

【Purposes】 Waste edible oil is a potential renewable resource, so it is of great significance to convert it into high value-added fine chemical products. Oleyl alcohol, as a product of selective hydrogenation of oleic acid, contains both CC bonds and hydroxyl group in its molecule. 【Methods】 Oleyl alcohol sulfonate (OAS) was synthesized by sulfonation of CC bonds in oleyl alcohol with sodium hydrogensulfite. The synthesized product was characterized by FTIR, HPLC, HR-MS, and NMR technique. T...

Taiyuan University of technology 2023,54(05): WEI Zimeng LI Jiaqi XIE Changqi LI Xu DONG Jinxiang. ;

PDFviewed：abstract