Journal of Engineering Science and Technology Review最新文献_第4页

Ratio Analysis of Early Strength and Impermeable Anchoring Agent and its Anchoring Performance for Grotto 岩洞早强与抗渗锚固剂的比值分析及锚固性能

Journal of Engineering Science and Technology Review Pub Date : 2023-01-01 DOI: 10.25103/jestr.161.07

Zhehao Zhao, Jianhui Yang, Liangang Ye

引用次数: 0

Proposal for Improving Power Quality in Brazilian Navy Ships through the Application of Shunt Active Power Filters (SAPF) 通过应用并联有源电力滤波器(SAPF)改善巴西海军舰船电能质量的建议

Journal of Engineering Science and Technology Review Pub Date : 2023-01-01 DOI: 10.25103/jestr.161.24

A. Queiroz, A. Colombini, Elvanger Santos Cardoso, M. Fortes, P. R. Monteiro, R. H. Palácios

引用次数: 0

Investigation on Tribological Behavior of Heat Treated DIN115CrV3 Steel for Cutting Tool Application by Factorial and Fractional Factorial Design 热处理刀具用DIN115CrV3钢摩擦学性能的析因和分因设计研究

Journal of Engineering Science and Technology Review Pub Date : 2023-01-01 DOI: 10.25103/jestr.162.05

Vallavi M S. Aezhisai, A. Moorthy, T. Mugilan

引用次数: 0

Distribution Law and Main Controlling Factors of Illite/Smectite Mixed Layer in Upper Wuerhe Formation, Northwestern Mahu Sag, Junggar Basin, Northwest China 准噶尔盆地马湖凹陷西北部上乌尔河组伊利石/蒙脱石混合层分布规律及主控因素

Journal of Engineering Science and Technology Review Pub Date : 2023-01-01 DOI: 10.25103/jestr.165.07

Li Xiang, Zhang Jianlin, Wang Hai, Liu Sai

{"title":"Distribution Law and Main Controlling Factors of Illite/Smectite Mixed Layer in Upper Wuerhe Formation, Northwestern Mahu Sag, Junggar Basin, Northwest China","authors":"Li Xiang, Zhang Jianlin, Wang Hai, Liu Sai","doi":"10.25103/jestr.165.07","DOIUrl":"https://doi.org/10.25103/jestr.165.07","url":null,"abstract":"Exploring reservoir stratum sensitivity is an important basic work for oil and gas exploration and exploitation, in which the degree of water sensitivity damage is often affected by the clay mineral content and microscopic pore throat structure of illite/montmorillonite mixed clay minerals. To reveal the distribution law and the main controlling factors of illite/montmorillonite mixed layers, the diagenesis, regional distribution law, and main controlling factors of illite/montmorillonite mixed layers in the reservoir stratum of the Upper Wuerhe Formation in the study area were analyzed by high-resolution testing techniques such as scanning electron microscopy (SEM) and Advanced Mineral Identification and Characterization System. Diagenesis was the main cause of illite/montmorillonite mixed layers in the study area, and the occurrence state under SEM was mostly flaky, silky, and flocculent filling in intragranular dissolved pores or intergranular pores. The mass fraction of illite/montmorillonite mixed layers increased with the increase in depth in the longitudinal direction, which was closely related to the sedimentary microfacies and the hydrodynamic environment in the plane. Results show that potash feldspar is the material basis for the formation of illite/montmorillonite mixed layers, and the strength of the hydrodynamic environment is the main controlling factor for the quality distribution characteristics of such mixed layers. This study provides a new technical method and research idea for understanding the reservoir sensitivity characteristics, which has good guiding significance for the blocks with strong reservoir sensitivity. The original pore structure of the reservoir can also be protected against destruction by various sensitivity factors in the developmental stage caused by the unclear understanding of the spatial distribution characteristics of clay minerals affecting the yield in oil and gas field development.","PeriodicalId":15707,"journal":{"name":"Journal of Engineering Science and Technology Review","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135611407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Novel Variant Autoencoder for Class Imbalance 一种新型的类不平衡自编码器

Journal of Engineering Science and Technology Review Pub Date : 2023-01-01 DOI: 10.25103/jestr.165.23

Chen Xinyuan, Zhao Yihang, Feng Ao, Shi Xiaoshi, Tang Zuoliang

{"title":"A Novel Variant Autoencoder for Class Imbalance","authors":"Chen Xinyuan, Zhao Yihang, Feng Ao, Shi Xiaoshi, Tang Zuoliang","doi":"10.25103/jestr.165.23","DOIUrl":"https://doi.org/10.25103/jestr.165.23","url":null,"abstract":"Deep learning requires a large amount of data, and enhanced processing of the data is particularly important. This study aims to investigate the enhancement of the dataset from the perspective of the underlying data distribution and solve the problem of unbalanced data samples. In this study, a novel approach called the single-sample sampling variant autoencoder (S3VAE) was proposed to generate data which were then compared. Experimental results demonstrate that, under the same data discard rate, the data generated by the S3VAE architecture exhibit a test accuracy closer to that of the original data, which proves the ability of the S3VAE architecture to generate results closer to the original data. Furthermore, the reconstruction abilities of C-VAE and S3VAE were compared using two public datasets and conducted five different discard rate experiments. As observed, the test accuracy of S3VAE is higher than that of C-VAE in all cases. With an increase in the data discard rate, the advantage of S3VAE becomes more pronounced. When the data discard rate is 97.5%, the test accuracy of S3VAE is 2.7% higher than that of C-VAE. These results confirm that the method has a significant positive effect on data enhancement and can be effectively used in practical scenarios. Moreover, this method can be extended to most advanced variant autoencoders.","PeriodicalId":15707,"journal":{"name":"Journal of Engineering Science and Technology Review","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135611682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Utilizing Ridge Techniques to Combat Food Waste 利用山脊技术对抗食物浪费

Journal of Engineering Science and Technology Review Pub Date : 2023-01-01 DOI: 10.25103/jestr.165.13

Hussam Mezher Merdas, Ayad Hameed Mousa

引用次数: 0

A Model for the Implementation of Lean Manufacturing in Textile SMEs in the Department of Cundinamarca 昆迪纳马卡省纺织中小企业精益生产实施模式研究

Journal of Engineering Science and Technology Review Pub Date : 2023-01-01 DOI: 10.25103/jestr.165.15

Villamil Sandoval Diana Carolina, Arteaga Sarmiento Wilfrido Javier

引用次数: 0

Micro Forming Studies of SS316L as Biomedical Application Material SS316L生物医学应用材料的微成形研究

Journal of Engineering Science and Technology Review Pub Date : 2023-01-01 DOI: 10.25103/jestr.164.17

Mohit N. Bogar, Omkar Kulkarni, Ganesh Kakandikar

引用次数: 0

Tilt Angle Optimization of Steam Turbine Blade Model Based on Aluminium: The Multi-Simulation Perspective 基于铝的汽轮机叶片模型倾角优化:多仿真视角

Journal of Engineering Science and Technology Review Pub Date : 2023-01-01 DOI: 10.25103/jestr.164.23

Ariyana Dwiputra Nugraha, Muhamad Kevin Fajrin, Zeeshan Hamid Malik, Jayan Sentanuhady, Muhammad Kusni, Seno Darmanto, Benny Sutanto, Gesang Gesang, Muhammad Akhsin Muflikhun

引用次数: 0

Study on Breakdown Process of High -Voltage Pulse Discharge under Water based on Equivalence Theory and Numerical Simulation 基于等效理论和数值模拟的水下高压脉冲放电击穿过程研究

Journal of Engineering Science and Technology Review Pub Date : 2023-01-01 DOI: 10.25103/jestr.164.09

Dong Yan, Lipeng Lai, Xuedang Xiao, Lei Zhang, Inchen Chen

引用次数: 0