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作者： Geng, Lantao Cai, Jin Lu, Cheng qin, xuwen Qi, Rongrong Meng, Fanle Xie, Yan Sha, Zhibin Wang, Xiaohui Sun, Changyu China Geol Survey Guangzhou Marine Geol Survey Guangzhou 510760 Peoples R China China Geol Survey Gas Hydrate Engn Technol Ctr Guangzhou 510760 Peoples R China Southern Marine Sci & Engn Guangdong Lab Guangzho Guangzhou 511458 Peoples R China China Univ Petr State Key Lab Heavy Oil Proc Beijing 102249 Peoples R China China Geol Survey Ctr Oil & Nat Gas Resource Explorat Beijing 100083 Peoples R China China Univ Geosci Sch Energy Resources Beijing 100083 Peoples R China

Studies on gas hydrate phase equilibrium conditions are reported widely in the literature. However, the data available for natural gas hydrates (NGHs) in real marine conditions are limited. In this study, NGH dissociation conditions in bulk brine and marine sediments were measured by using a microdifferential scanning calorimetry (mu-DSC). The sediments used in the experiment were obtained from the Shenhu area of the South China Sea, and the natural gas, as well as part of the water samples, were prepared according to the field data. Additionally, the Chen-Guo model was improved to calculate the NGH equilibrium conditions in the systems containing electrolytes and porous sediments. The experimental results showed that the NGH is relatively more stable than pure CH4 hydrate. The hydrate phase equilibrium curves shift to the left with the increased salinity in bulk water and sediments. In addition, the hydrate decomposition temperatures in marine sediments are obviously lower than those in bulk water. The average deviations of the improved model are 2.32% and 3.7% for bulk brine and sediments, respectively, which indicates great predictability. We consider that besides pore size as the main factor affecting the hydrate phase equilibrium, the water absorption capacity of marine sediments can also affect their decomposition conditions. The hydrate decomposition enthalpies were calculated by the Clausius-Clapeyron equation, and the results showed that the enthalpies increased with the decreased salinity and the addition of marine sediments. These findings are significant to NGH production safety in real marine sediments.

关键词： Geological materials Organic reactions Solvates Phase equilibria Water

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Effects of Micellization Behavior on the Interfacial Adsorption in Binary Anionic/Nonionic Surfactant Systems: A Molecular Simulation Study

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LANGMUIR 2021年第40期37卷 11835-11843页

作者： Lian, Peng Jia, Han Yan, Hui Yuan, Jie Tang, Hongtao Li, Zhe Fan, Fangning qin, xuwen Lv, Kaihe Liu, Dexin China Univ Petr East China Sch Petr Engn Qingdao 266580 Peoples R China China Univ Petr East China Sch Petr Engn Shandong Key Lab Oilfield Chem Qingdao 266580 Peoples R China Liaocheng Univ Sch Pharmaceut Sci Liaocheng 252059 Shandong Peoples R China SINOPEC Shengli Oilfield Co Shengli Oil Prod Plant Dongying 257000 Peoples R China

A surfactant interfacial adsorption process is highly associated with its micellization behaviors in the water phase, which is of great fundamental and practical significance in enhanced oil recovery. In this paper, the typical anionic surfactant 1-dodecanesulfonic acid sodium (DAS) and nonionic surfactants octylphenol polyoxyethylene ether-n (OP-n, n = 1, 5, and 10) are introduced to investigate their micellization behavior and interfacial adsorption process via molecular dynamics simulation. Number density profiles reveal that the additional OP5 molecules in the water phase generate the mixed micelle with DAS molecules and greatly promote its interfacial adsorption. Interaction energy calculation is employed to confirm the interaction of anionic/nonionic surfactants in the mixed micelle. Then, the radial distribution function, solvent-accessible surface area, and solvation free energy are calculated to further explore and verify the adsorption mechanism of the mixed micelle. It is found that the nonionic surfactant obviously decreases the hydrophilicity of the mixed micelle in the water phase, which should be responsible for its intensive tendency of the interfacial adsorption.

关键词： Adsorption Molecules Micelles Surfactants Water

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旋转状态下65Mn材质圆锯片模态及谐响应分析

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工具技术 2025年第2期59卷 96-102页

作者：张华辰王玉奇李晓月王清白硕玮秦绪文青岛大学机电工程学院山东省青岛市266071

针对65Mn材质圆锯片在切割石材过程中易产生较大振动及噪音的问题,基于有限元法研究旋转状态下65Mn材质圆锯片轴向模态及振动响应。以∅336 mm圆锯片基体为例,分别选取转速为1000 r/min,1250 r/min,1500 r/min条件下空载圆锯片动力学仿... 详细信息

针对65Mn材质圆锯片在切割石材过程中易产生较大振动及噪音的问题,基于有限元法研究旋转状态下65Mn材质圆锯片轴向模态及振动响应。以∅336 mm圆锯片基体为例,分别选取转速为1000 r/min,1250 r/min,1500 r/min条件下空载圆锯片动力学仿真模型,依次对其前7阶轴向模态开展分析。基于模态叠加法构建旋转状态下圆锯片动力学响应模型,并对其开展谐响应分析。通过扫频振动试验验证上述模型的有效性和可靠性。仿真模拟结果表明,前7阶的振型存在节圆型和节径型,且随着阶数的增大,节径数和节圆数均呈现递增的趋势;节径振型的各阶最大轴向振幅集中在边缘靠近锯齿处;随着转速的提高,同阶模态的固有频率增加幅度逐渐增大,而加速度最大峰值逐渐减小。

关键词： 65Mn 圆锯片有限元法离心应力振动特性分析

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Remote Sensing Intelligent Interpretation for Geology 1

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1000年

作者： Weitao Chen Xianju Li Lizhe Wang xuwen qin

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IGA-BiLSTM: An Improved Method for Network Security Situation Awareness

IGA-BiLSTM: An Improved Method for Network Security Situatio...

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Electronic Communication and Artificial Intelligence (IWECAI), International Workshop on

作者： Chongwei Hong Yong qin xuwen qin Dongcheng Zhang School of Computer Science and Technology Dongguan University of Technology Dongguan China School of Cyberspace security Dongguan University of Technology Dongguan China Grade 2 Shenzhen College of International Education Dongguan China Zhixing College of DGUT Dongguan University of Technology Dongguan China

This paper presents an improved prediction model based on LSTM to solve traditional network security situation perception and prediction problems. Due to the significant advantages of BiLSTM in processing network data with time series characteristics and often related content, this paper will design a prediction model based on the Bi-LTM model. As a neural network model, the setting of LSTM’s superparameters is always a difficult point. On the basis of BiLSTM, this paper improves the original algorithm by using the immune genetic algorithm IGA, which enables the new algorithm to select better parameters and process random data on the basis of processing time series data. In this article, we analyze the UNSW-NB15 intrusion detection dataset, which will be used to train and test our model. Compared with the original LSTM algorithm and Bi LSTM algorithm, the prediction accuracy of the final model is improved. In the binary classification problem, the prediction accuracy has been improved by 1%-2%. In the multi classification problem, the prediction accuracy has improved by up to 3%, while F1 Measure has also improved by 2%. In the recognition of different types of anomalies, the F1-Measure of the IGA-LSTM model also has an improvement of 1%-2%. Finally, for situation prediction, the IGA-LSTM model’s situation curve is closer to the actual situation curve.

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A password-authentication scheme based on ciphertext random sampling transmission

A password-authentication scheme based on ciphertext random ...

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IEEE International Symposium on Parallel and Distributed Processing with Applications and IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC)

作者： Lizhu Yang Yong qin xuwen qin Dongcheng Zhang School of Computer Science and Technology Dongguan University of Technology Dongguan China School of Cyberspace Security Dongguan University of Technology Dongguan China G2 Grade Shenzhen College of International Education Shenzhen China

The traditional identity authentication approach of username and password has the security risk of password leakage in the transmission process. For the security of password transmission in the blockchain education architecture, an asymmetric encryption algorithm is used to encrypt the transmitted password. Then use an improved random sampling algorithm to randomly extract part of the ciphertext and transmit those selected ciphertexts. The authentication credentials are sampled ciphertext and the location index. At the same time, the authentication factor is generated through the Time-Stamp technology, and mutual authentication is realized based on the Response-Challenge protocol. Through security analysis and experimental analysis, the proposed scheme is proved to be secure.

关键词： Protocols Education Authentication Focusing Passwords Ubiquitous computing Blockchains

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基于高分辨率卫星遥感技术的风化层厚度制图方法

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地质科技通报 2020年第3期39卷 220-226页

作者：秦绪文唐壮陈伟涛广州海洋地质调查局广州510075 中国地质大学(武汉) 武汉430074

区域尺度风化层厚度是制约民用和军事地质工程施工、陆域军事交通能力重要因素之一。传统方法通常都需要大量的野外踏勘和实地采样,效率较低,在人迹罕至、人不能至的地区无法完成。因此,利用高分辨率遥感技术开展区域尺度风化层厚度制... 详细信息

区域尺度风化层厚度是制约民用和军事地质工程施工、陆域军事交通能力重要因素之一。传统方法通常都需要大量的野外踏勘和实地采样,效率较低,在人迹罕至、人不能至的地区无法完成。因此,利用高分辨率遥感技术开展区域尺度风化层厚度制图研究具有非常重要的意义。在野外调查的基础上,利用国产高分二号卫星数据,采用人机交互目视解译方法获取研究区岩性、土地覆盖类型分布图,并基于ASTER GDEM数据获取地形地貌图像;然后,以坡度、岩性、土地覆盖类型为影响因子,基于云模型理论和方法综合评估获取研究区的风化层厚度图,制图结果与野外验证数据吻合度较好,精度可达81.69%。

关键词：风化层厚度云模型军事地质遥感高分辨率遥感

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Improved Vocal Tract Length Perturbation for Improving Child Speech Emotion Recognition

Improved Vocal Tract Length Perturbation for Improving Child...

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Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD), International Conference on

作者： Shenkang Qu Yong qin xuwen qin Ziliang Ren Lei Chen School of computer science and technology Dongguan University of technology Dongguan China Shenzhen International Exchange College Shenzhen China

Due to the variability of children's acoustic features during growth and the lack of a publicly available corpus of children's speech emotion data, training a robust children's Speech Emotion Recognition(SER) is more challenging than that of adults. We develop in this paper a new SER learning solution for children, which generates a child-like speech spectrum from an adult's speech spectrum based on vocal tract length normalization (VTLN) and vocal tract length perturbation (VTLP). This improved adult spectrum is then used as augmented data to improve the child speech emotion recognition system. To validate the effectiveness of this data augmentation method, we test it in two mainstream SER task networks based on Compact Convolutional Transformers(CCT) and Convolutional Neural Networks(CNN), respectively, and the proposed data augmentation method improves the accuracy and UAR by 0.32% and 0.22%, respectively, on the Fau Aibo children's emotion data corpus compared to the VTLP baseline system when trained with CCT. When trained with CNN, the accuracy and UAR are improved by 0.39% and 0.26%, respectively, compared to the VTLP baseline system.

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Accurate multiclassification and segmentation of gastric cancer based on a hybrid cascaded deep learning model with a vision transformer from endoscopic images

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INFORMATION SCIENCES 2024年 670卷

作者： Ul Haq, Ejaz Yong, qin Yuan, Zhou Huang, Jianjun Ul Haq, Rizwan qin, xuwen Dongguan Univ Technol Sch Comp Sci & Technol Dongguan Peoples R China Tianjin Univ Sch Elect & Informat Engn Tianjin Peoples R China Shenzhen Univ Sch Elect & Informat Engn Shenzhen Peoples R China Khushal Khan Khattak Univ KPK Karak Pakistan Shenzhen Int Exchange Coll Shenzhen Grade A1 Shenzhen Peoples R China

Compared with other forms of cancer, gastric cancer has high mortality and incidence rates, making it a major cause of death worldwide. Accurate diagnosis is crucial in the treatment of stomach cancer. Researchers have used deep learning techniques facilitated by developments in artificial intelligence to classify and segment endoscopic images of stomach cancer. Most recent research examining endoscopic images of stomach cancer has used a binary classification system, which is insufficient for practical use. False -positives and computational costs become problematic when segmentation is applied to all the images of healthy patients obtained throughout the evaluation. Hence, the expected level of performance has not been attained in the real-time multiclassification and segmentation of stomach cancer. In this study, we present a deep learning -based technique for multiclassification of endoscopic images by combining modified GoogLeNet and vision transformer (ViT) models and identifying invasive areas based on Faster RCNN. The classification of endoscopic images into three categories, namely, normal, early gastric cancer, and advanced gastric cancer, is accomplished by using a hybrid approach including modified GoogLeNet and vision transformer (ViT) models. Gastric cancer regions are then identified and segmented in the endoscopic images using the Faster R -CNN method. The Faster R -CNN algorithm is used with an endoscopic image as input, resulting in the generation of a bounding box and label image that accurately represents the gastric cancerous area. The proposed model achieved an accuracy, sensitivity and F1 -score of 97.4%, 97.5% and 95.9%, respectively, for the classification of noncancerous, early gastric cancer and advanced gastric cancer. Furthermore, the performance of the segmentation method was also validated based on evaluation metrics and achieved 96.7%, 96.6% and 95.5% accuracy, sensitivity and F1 -score, respectively, for the segmentation of noncancer

关键词： Gastric cancer Transformer Classification Segmentation Deep learning

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