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Soft Tissue Feature Tracking Based on Deep Matching Network

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Computer Modeling in Engineering & Sciences 2023年第7期136卷 363-379页

作者： Siyu Lu Shan liu Pengfei Hou Bo Yang mingzhe liu Lirong Yin Wenfeng Zheng School of Automation University of Electronic Science and Technology of ChinaChengdu610054China College of Computer Science and Cyber Security Chengdu University of TechnologyChengdu610059China Department of Geography and Anthropology Louisiana State UniversityBaton RougeLA70803USA

Research in the field ofmedical image is an important part of themedical robot to operate human organs.Amedical robot is the intersection ofmulti-disciplinary research fields,in whichmedical image is an important direction and has achieved fruitful results.In this paper,amethodof soft tissue surface feature tracking basedonadepthmatching network is proposed.This method is described based on the triangular matching algorithm.First,we construct a self-made sample set for training the depth matching network from the first N frames of speckle matching data obtained by the triangle matching algorithm.The depth matching network is pre-trained on the ORL face data set and then trained on the self-made training set.After the training,the speckle matching is carried out in the subsequent frames to obtain the speckle matching matrix between the subsequent frames and the first frame.From this matrix,the inter-frame feature matching results can be obtained.In this way,the inter-frame speckle tracking is completed.On this basis,the results of this method are compared with the matching results based on the convolutional neural network.The experimental results show that the proposed method has higher matching accuracy.In particular,the accuracy of the MNIST handwritten data set has reached more than 90%.

关键词： Soft tissue feature tracking deep matching network

The enantioselective enhancing effect and mechanistic insights of chiral enhancers in transdermal drug delivery

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Asian Journal of Pharmaceutical Sciences 2023年第5期18卷 136-151页

作者： Yang Zhang Chao liu Dongxiao E. Wenxuan Jia Peng Sun Hui Li Guojing Yu Peng Quan mingzhe liu Liang Fang Department of Pharmaceutical Sciences Shenyang Pharmaceutical UniversityShenyang 110016China Department of Organic Chemistry Shenyang Pharmaceutical UniversityShenyang 110016China

Overlook of chiral consideration in transdermal drug delivery increases administrated dose and risk of side effects,decreasing therapeutical effects.To improve the transdermal delivery efficiency of eutomer,this work focused on investigating the law and mechanism of enantioselective enhancing effects of chiral permeation enhancers on drug enantiomers.Chiral nonsteroidal anti-inflammatory drugs and terpene permeation enhancers were selected as model drug and enhancers.The results indicated that the L-isomer of permeation enhancers increased the skin absorption of S-enantiomer of drug and D-isomer improve the permeation of R-enantiomer,in which the enhancement effect(ER)of Lmenthol on S-enantiomer(ER=3.23)was higher than that on R-enantiomer(ER=1.49).According to the pharmacokinetics results,L-menthol tended to enhance the permeation of S-enantiomer better than R-enantiomer(2.56 fold),and showed excellent in vitro/in vivo correlations.The mechanism study showed that L-isomer of permeation enhancers improved the permeation of S-enantiomer by increasing the retention,but the D-isomer by improving partition for better permeation.Enantioselective mechanism indicated that the weaker chiral H-bond interaction between drug-chiral enhancers was caused by the enantiomeric conformation.Additionally,stronger chiral enhancers-skin interaction between L-isomer and S-conformation of ceramide produced better enhancing effects.In conclusion,enantioselective interaction of chiral drug-chiral enhancers and chiral enhancers-chiral skin played a critical role in transdermal drug delivery,rational utilization of which contributed to improving the uptake of eutomer and inhibiting distomers to decrease a half of dose and side effects,increasing transdermal therapeutical efficiency.

关键词： Terpene Enantiomers Conformation-dependence Chiral ceramide

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Analysis and Design of Surgical Instrument Localization Algorithm

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Computer Modeling in Engineering & Sciences 2023年第10期137卷 669-685页

作者： Siyu Lu Jun Yang Bo Yang Zhengtong Yin mingzhe liu Lirong Yin Wenfeng Zheng School of Automation University of Electronic Science and Technology of ChinaChengdu610054China College of Resource and Environment Engineering Guizhou UniversityGuiyang550025China School of Data Science and Artificial Intelligence Wenzhou University of TechnologyWenzhou325000China Department of Geography and Anthropology Louisiana State UniversityBaton Rouge70803USA

With the help of surgical navigation system,doctors can operate on patients more intuitively and accurately.The positioning accuracy and real-time performance of surgical instruments are very important to the whole system.In this paper,we analyze and design the detection algorithm of surgical instrument location mark,and estimate the posture of surgical instrument.In addition,we optimized the pose by remapping.Finally,the algorithm of location mark detection proposed in this paper and the posture analysis data of surgical instruments are verified and analyzed through experiments.The final result shows a high accuracy.

关键词： Surgical navigation system surgical instruments positioning positioning mark detection algorithm matching algorithm posture analysis

Improved Blending Attention Mechanism in Visual Question Answering

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Computer Systems Science & Engineering 2023年第10期47卷 1149-1161页

作者： Siyu Lu Yueming Ding Zhengtong Yin mingzhe liu Xuan liu Wenfeng Zheng Lirong Yin School of Automation University of Electronic Science and Technology of ChinaChengdu610054China College of Resource and Environment Engineering Guizhou UniversityGuiyang550025China School of Data Science and Artificial Intelligence Wenzhou University of TechnologyWenzhou325000China School of Public Affairs and Administration University of Electronic Science and Technology of ChinaChengdu611731China Department of Geography and Anthropology Louisiana State UniversityBaton Rouge70803LAUSA

Visual question answering(VQA)has attracted more and more attention in computer vision and natural language processing.Scholars are committed to studying how to better integrate image features and text features to achieve better results in VQA tasks.Analysis of all features may cause information redundancy and heavy computational burden.Attention mechanism is a wise way to solve this problem.However,using single attention mechanism may cause incomplete concern of features.This paper improves the attention mechanism method and proposes a hybrid attention mechanism that combines the spatial attention mechanism method and the channel attention mechanism method.In the case that the attention mechanism will cause the loss of the original features,a small portion of image features were added as compensation.For the attention mechanism of text features,a selfattention mechanism was introduced,and the internal structural features of sentences were strengthened to improve the overall model.The results show that attention mechanism and feature compensation add 6.1%accuracy to multimodal low-rank bilinear pooling network.

关键词： Visual question answering spatial attention mechanism channel attention mechanism image feature processing text feature extraction

An Optimized Chinese Filtering Model Using Value Scale Extended Text Vector

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Computer Systems Science & Engineering 2023年第11期47卷 1881-1899页

作者： Siyu Lu Ligao Cai Zhixin liu Shan liu Bo Yang Lirong Yin mingzhe liu Wenfeng Zheng School of Automation University of Electronic Science and Technology of ChinaChengdu610054China School of Life Science Shaoxing UniversityShaoxing312000China Department of Geography and Anthropology Louisiana State UniversityBaton RougeLA70803USA College of Computer Science and Cyber Security Chengdu University of TechnologyChengdu610059China

With the development of Internet technology,the explosive growth of Internet information presentation has led to difficulty in filtering effective information.Finding a model with high accuracy for text classification has become a critical problem to be solved by text filtering,especially for Chinese texts.This paper selected the manually calibrated Douban movie website comment data for research.First,a text filtering model based on the BP neural network has been built;Second,based on the Term Frequency-Inverse Document Frequency(TF-IDF)vector space model and the doc2vec method,the text word frequency vector and the text semantic vector were obtained respectively,and the text word frequency vector was linearly reduced by the Principal Component Analysis(PCA)method.Third,the text word frequency vector after dimensionality reduction and the text semantic vector were combined,add the text value degree,and the text synthesis vector was constructed.Experiments show that the model combined with text word frequency vector degree after dimensionality reduction,text semantic vector,and text value has reached the highest accuracy of 84.67%.

关键词： Chinese text filtering text vector word frequency vectors text semantic vectors value degree BP neural network TF-IDF doc2vec PCA

Aerosol optical absorption by dust and black carbon in Taklimakan Desert,during no-dust and dust-storm conditions

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Particuology 2012年第4期10卷 509-516页

作者： Hui Lu Wenshou Wei mingzhe liu Weidong Gao Xi Han Xinjiang Institute of Ecology and Geography Chinese Academy of SciencesUrumqi 830011China Graduate School of the Chinese Academy of Sciences Beijing 100049China Urumqi Institute of Desert Meteorology China Meteorological AdministrationUrumqi 830002China School of Resources and Environment University ofJinanJinan 250000China

Aerosol absorption coefficient σap involves the additive contribution of both black carbon aerosol （BC） and dust aerosol. The linear statistical regression analysis approach introduced by Fialho et al. （2005） is used to estimate the absorption exponents of BC and dust aerosol absorption coefficients, and further to separate the contributions of these two types of aerosols from the total light absorption coefficient measured in the hinterland of Taklimakan Desert in the spring of 2006. Absorption coefficients are measured by means of a 7-wavelength Aethalometer from 1 March to 31 May and from 1 November to 28 December, 2006. The absorption exponent of BC absorption coefficient α is estimated as （-0.95 ± 0.002） under background weather （supposing the observed absorption coefficient is due only to BC）; the estimated absorption exponent of dust aerosol absorption coefficient/5 during the 6 dust storm periods （strong dust storm） is （-2.55 ± 0.009）. Decoupling analysis of the measured light absorption coefficients demonstrates that, on average, the light absorptions caused by dust aerosol and BC make up about 50.5% and 49.5% respectively of the total light absorption at 520 nm; during dust weather process periods （dust storm, floating dust, blowing dust）, the contribution of dust aerosol to absorption extinction is 60.6% on average; in the hin- terland of desert in spring, dust aerosol is also the major contributor to the total aerosol light absorption, more than that of black carbon aerosol.

关键词： Black carbonDustAbsorption coefficientAbsorption exponent of absorptioncoefficientDecoupling of absorption coefficient

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A Blockchain-Based Authentication Protocol for WLAN Mesh Security Access

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Computers, Materials & Continua 2019年第1期58卷 45-59页

作者： Xin Jiang mingzhe liu Chen Yang Yanhua liu Ruili Wang State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu University of TechnologySichuanChina Institute of Natural and Mathematical Sciences Massey UniversityAucklandNew Zealand

In order to deploy a secure WLAN mesh network,authentication of both users and APs is needed,and a secure authentication mechanism should be employed.However,some additional configurations of trusted third party agencies are still needed on-site to deploy a secure authentication system.This paper proposes a new block chain-based authentication protocol for WLAN mesh security access,to reduce the deployment costs and resolve the issues of requiring key delivery and central server during IEEE 802.11X authentication.This method takes the user’s authentication request as a transaction,considers all the authentication records in the mesh network as the public ledger and realizes the effective monitoring of the malicious attack.Finally,this paper analyzes the security of the protocol in detail,and proves that the new method can solve the dependence of the authentication node on PKI and CA.

关键词： WLAN mesh block chain authentication protocol public ledger

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激光雷达SLAM算法综述

计算机工程与应用 2024年第1期60卷 1-14页

作者：刘铭哲徐光辉唐堂钱晓健耿明陆军工程大学通信工程学院南京210000

即时定位与地图构建(simultaneous localization and mapping,SLAM)是自主移动机器人和自动驾驶的关键技术之一,而激光雷达则是支撑SLAM算法运行的重要传感器。基于激光雷达的SLAM算法,对激光雷达SLAM总体框架进行介绍,详细阐述前端里... 详细信息

即时定位与地图构建(simultaneous localization and mapping,SLAM)是自主移动机器人和自动驾驶的关键技术之一,而激光雷达则是支撑SLAM算法运行的重要传感器。基于激光雷达的SLAM算法,对激光雷达SLAM总体框架进行介绍,详细阐述前端里程计、后端优化、回环检测、地图构建模块的作用并总结所使用的算法;按由2D到3D,单传感器到多传感器融合的顺序,对经典的具有代表性的开源算法进行描述和梳理归纳;介绍常用的开源数据集,以及精度评价指标和测评工具;从深度学习、多传感器融合、多机协同和鲁棒性研究四个维度对激光雷达SLAM技术的发展趋势进行展望。

关键词：即时定位与地图构建激光雷达惯性多传感器融合

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郓城县中小型农田水利工程节水技术

南方农业 2024年第4期18卷 117-119页

作者：刘明喆北京工业大学环境科学与工程学院北京100124

随着时代的发展和对农业现代化要求的提高,智能水资源管理技术的应用逐渐受到重视。山东省郓城县是我国农业发展的重要区域,却面临水资源短缺、灌溉效率低、农田水土流失严重及农田排水系统不完善等问题。为了提高水资源利用效率、优化... 详细信息

随着时代的发展和对农业现代化要求的提高,智能水资源管理技术的应用逐渐受到重视。山东省郓城县是我国农业发展的重要区域,却面临水资源短缺、灌溉效率低、农田水土流失严重及农田排水系统不完善等问题。为了提高水资源利用效率、优化农田排水系统,从而推动郓城县乃至更广泛区域的农业可持续发展,重点介绍了4种节水技术:智能水资源管理、精准灌溉、水土保持与恢复、农田综合排水系统改造。

关键词：智能水资源管理技术精准灌溉技术农田水土保持与恢复山东省郓城县

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