Visual Analysis Method of Tobacco Quality Data Based on Dimension Reduction

doi:10.16182/j.issn1004731x.joss.20-0421

Abstract

Abstract: In order to meet the requirements of tobacco leaf matching across regions in tobacco material selection, a visual analysis method of tobacco leaf quality data that incorporating dimension reduction and correlation analysis methods is developed. Through the dimension reduction algorithm, the comparison algorithm and the visual interaction method based on the classification of aroma area for tobacco leaf quality data, a visual analysis method for exploring space division and correlation analysis of tobacco leaf quality data is provided. National tobacco leaf quality data analysis cases and expert demonstrations show that the method can carry out the tobacco leaf quality data analysis well.

Key words: tobacco quality, dimension reduction, correlation, visualization, spatial division

CLC Number:

TP391

Tian Dong, Shan Guihua, Chi Xuebin, Zhang Yanling, Feng Weihua, Wang Jianwei, Wang Aiguo, Wang Rui. Visual Analysis Method of Tobacco Quality Data Based on Dimension Reduction[J]. Journal of System Simulation, 2021, 33(9): 2279-2288.

References

[1] 欧阳昆. 烟叶近红外分析指标体系Web可视化[D]. 长沙: 湖南师范大学, 2016.
Ouyang Kun.Tobacco Near Infrared Analysis Index System Web Visualization[D]. Changsha: Hunan Normal University, 2016.
[2] 张建强, 刘维涓, 侯英. 基于稀疏表示分类和近红外光谱的烟叶自动分级研究[J]. 光谱学与光谱分析, 2018, 38(增1): 30-31.
Zhang Jianqiang, Liu Weijuan, Hou Ying.Research on Automatic Classification of Tobacco Leaves based on Sparse Representation Classification and Near Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2018, 38(S1): 30-31.
[3] 徐龙柱. 流形学习中非线性降维方法的研究及在烟草数据中的应用[D]. 青岛: 中国海洋大学, 2011.
Xu Longzhu.Research on Nonlinear Dimensionality Reduction Methods in Manifold Learning and their Applications for Tobacco Data[D]. Qingdao: Ocean University of China, 2011.
[4] 华一崑, 汪显国, 袁逢春, 等. 打叶复烤对模块烟叶致香成分和感官质量的影响[J]. 江西农业学报, 2012, 24(6): 120-125.
Hua Yikun, Wang Xianguo, Yuan Fengchun, et al.Effects of Leaf-threshing and Redrying on Aromatic Components and Sensory Quality of Model Tobacco Leaf[J]. Acta Agriculturae Jiangxi, 2012, 24(6): 120-125.
[5] 王彩霞, 魏远方, 贾峰, 等. 不同产区烟叶生长后期糖苷态致香成分总量的动态变化[J]. 烟草科技, 2018, 51(1): 33-42.
Wang Caixia, Wei Yuanfang, Jia Feng, et al.Dynamic Variations of Aglycon Aroma Components and Contents in Tobacco Leaves From Different Producing Areas at Later Growth Stage[J]. Tobacco Science & Technology, 2018, 51(1): 33-42.
[6] 薛超群, 蔡宪杰, 宋纪真, 等. 基于主成分分析和聚类分析的烤烟烟叶外观特征区域归类[J]. 烟草科技, 2018, 51(6): 34-41.
Xue Chaoqun, Cai Xianjie, Song Jizhen, et al.Regional Classification by Appearance of Flue-cured Tobacco Leaves based on Principal Component and Cluster Analysis[J]. Tobacco Science & Technology, 2018, 51(6): 34-41.
[7] 苏赞, 王闯, 首安发, 等. 贺州烟区烤烟物理特性GIS模拟图构建[J]. 作物研究, 2017, 31(6): 699-703.
Su Zan, Wang Chuang, Shou Anfa, et al.Construction of GIS Simulation Diagram about the Tobacco Physical Characteristics in Hezhou Area[J]. Crop Research, 2017, 31(6): 699-703.
[8] 陈谊, 蔡进峰, 石耀斌, 等. 基于平行坐标的多视图协同可视分析方法[J]. 系统仿真学报, 2013, 25(1): 81-86.
Chen Yi, Cai Jinfeng, Shi Yaobin, et al.Coordinated Visual Analytics Method Based on Multiple Views with Parallel Coordinates[J]. Journal of System Simulation, 2013, 25(1): 81-86.
[9] Chu K H, Heather W, Valente T W, et al.Using Visualizations to Explore Network Dynamics[J]. Journal of social structure (S1529-1227), 2013,14(1):1-24.
[10] Ralitza G, Eugenia B, Patricia S, et al.Data Visualization Tools of Tobacco Product Use Patterns, Transitions and Sex Differences in the PATH Youth Data[J]. Nicotine & Tobacco Research(S1469-994X), 2020, 22(10): 1901-1908.
[11] Arora S, Hu W, Kothari P K.An Analysis of the t-SNE Algorithm for Data Visualization[C]//Conference on Learning Theory. Stockholm, Sweden: PMLR, 2018.
[12] 徐维超. 相关系数研究综述[J]. 广东工业大学学报, 2012, 29(3): 12-17.
Xu Weichao.A Review on Correlation Coefficients[J]. Journal of Guangdong University of Technology, 2012, 29(3): 12-17.

[1]	Yiling Sun, Yi Chen, Guihua Shan, Xiaoxing Li. Multi-person Interactive Globe System Based on AR Technology [J]. Journal of System Simulation, 2022, 34(6): 1367-1374.
[2]	Xiangping Wu, Lijun Ping, Dongshi Xu. A Visual Analytics of Urban Traffic Events Using Social Media Data [J]. Journal of System Simulation, 2022, 34(5): 1140-1151.
[3]	Shijian Xu, Dan Zhao, Chengyu Su, Fupan Wang, Xiaorong Zhang, Fang Wang, Yadong Wu. Research on Immersive Virtual Reality Interactive System for Flow Visualization [J]. Journal of System Simulation, 2022, 34(5): 1160-1172.
[4]	Feng Wu, Xiuluo Liu, Jia Wang, Yang Liu, Sujiang Li, Yan Zhong. Research on Space Launch Visualization Simulation Analysis Technology and Application [J]. Journal of System Simulation, 2022, 34(4): 856-869.
[5]	Han Beibei, Wei Yingmei, Fang Yujie, Wan Shanshan. Visual Analysis of Cross-domain Association of Time-series Data [J]. Journal of System Simulation, 2022, 34(1): 53-61.
[6]	Luo Zhangzhen, Jiang Haifan, Fu Jianlin, Ding Guofu. Combination Weighting-based Comprehensive Evaluation for Discrete Workshop Production Plan [J]. Journal of System Simulation, 2021, 33(8): 1856-1865.
[7]	Zheng Lingsha, Jiang Bing, Zhao Zhe, Yang Zhaoxu. Research on Time Performance Simulation and Analysis Technology of Aviation Complex Embedded System [J]. Journal of System Simulation, 2021, 33(6): 1489-1499.
[8]	Wang Xuguang, Feng Mengjie, Su Jie, Quan Jiale. Time-delay Estimation for MIMO Delay Systems with Unknown Structures [J]. Journal of System Simulation, 2021, 33(5): 1122-1132.
[9]	Bi Shuoben, Chen Yezhou, Gong Yucheng, Lu Mingyue, Xu Ruizhuang. Visualization of Tropical Cyclone Disaster Information Based on Cesium [J]. Journal of System Simulation, 2021, 33(2): 472-483.
[10]	Chen Tao, Wang Yan, Ji Zhicheng. Combination Forecasting Model of Photovoltaic Power Based on Empirical Wavelet Transform [J]. Journal of System Simulation, 2021, 33(11): 2627-2635.
[11]	Xu Jinli, Zhou Zheng. Visualization of Finite Element Analysis Deformation Results Based on HoloLens [J]. Journal of System Simulation, 2021, 33(1): 109-117.
[12]	Zhang Huijuan, Liu Fan, Wang Dongqing, Jia Jinyuan. Parameterization of Complex Pipeline Meshes and Its Large-scale Online Visualization [J]. Journal of System Simulation, 2020, 32(8): 1489-1497.
[13]	Zhang Yuan, Lu Yingbo, Chen Ding, Chen Wei, Zhang Jiajun, Lu Zhiyong. Research on Factor Selection Method of Equipment Effectiveness Simulation Experiment Based on Grey Correlation Analysis [J]. Journal of System Simulation, 2020, 32(8): 1498-1504.
[14]	Chen Yi, Zhang Menglu, Wan Yuchai. A Survey on Graph Representation and Visualization Techniques [J]. Journal of System Simulation, 2020, 32(7): 1232-1243.
[15]	Bi Shuoben, Gong Yucheng, Lu Mingyue, Zhou Hao, Mao Yuanxiang. Modeling and Visualization On Scalar Fields of Meteorological Data [J]. Journal of System Simulation, 2020, 32(7): 1331-1340.