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TDIVis: visual analysis of tourism destination images Research

Meng-qi CAO, Jing LIANG1, Ming-zhao LI, Zheng-hao ZHOU, Min ZHU

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 4,   Pages 536-557 doi: 10.1631/FITEE.1900631

Abstract: Specifically, a keyword-based sentiment visualization method is proposed to associate the cognitive imageanalysis and classification analysis are considered; a multi-attribute association double sequence visualization

Keywords： Tourism user-generated content     Information visualization     Destination image     Sentiment visualization     Sequencevisualization    

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Review of sentiment analysis: An emotional product development view

Frontiers of Engineering Management   Pages 592-609 doi: 10.1007/s42524-022-0227-z

Abstract: Given that sentiment analysis (SA) can extract and analyze people’s opinions, sentiments, attitudes,

Keywords： sentiment analysis     emotion     product development     Kansei Engineering    

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Experimental investigation of multiphase flow behavior in drilling annuli using high speed visualization

Alap Ali ZAHID, Syed Raza ur REHMAN, Anwarul HASAN, S. RUSHD, Mohammad Azizur RAHMAN

Frontiers in Energy 2020, Volume 14, Issue 3,   Pages 635-643 doi: 10.1007/s11708-018-0582-y

Abstract: The visualization technique developed in this paper has a direct application in investigating the critical

Keywords： visualization     horizontal annulus     hole cleaning     multiphase flow     image analysis     flow regime    

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Study on the Model and Its Visualization for Dynamic Allocation of Earth

Hu Chengshun,Zheng Denghua,Zhang Jin,Hong Wen,Li Mingchao

Strategic Study of CAE 2003, Volume 5, Issue 12,   Pages 73-79

Abstract:

For construction organization plan, the optimized allocation and overall balance of earth is of great significance to reduce the project cost and ensure the construction period in the construction of rock-fill dam. Because of the characteristic of being influenced or constrained by time-space, a new method of changing its dynamic into static is presented with the system analysis based on the exising research. Meanwhile, Linear Programming is introduced to solve the problem. In order to strengthen the commonness and agility of model, some human interventions are in an in-depth and particular consideration in building the mathematics model. And then for the expression of results, Geographic Information System (GIS) is referred to demonstrate the allocation process with graph or animation to avoid its powerless expression. With the help of powerful VC+ + , corresponding software is drawn up, whose interface is friendly operation is easy and applicability is preferable. At last a large-scale rock-fill dam is illustrated. The successful application of the software to it shows the reasonability and effectiveness of the method.

Keywords： rock-fill dam construction     earth allocation     dynamic allocation     linear programming     visualization    

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NLWSNet: a weakly supervised network for visual sentiment analysis in mislabeled web images

Luo-yang Xue, Qi-rong Mao, Xiao-hua Huang, Jie Chen,mao_qr@ujs.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9,   Pages 1267-1412 doi: 10.1631/FITEE.1900618

Abstract: Large-scale datasets are driving the rapid developments of deep convolutional neural networks for . However, the annotation of large-scale datasets is expensive and time consuming. Instead, it is easy to obtain weakly labeled web images from the Internet. However, noisy labels still lead to seriously degraded performance when we use images directly from the web for training networks. To address this drawback, we propose an end-to-end network, which is robust to mislabeled web images. Specifically, the proposed attention module automatically eliminates the distraction of those samples with incorrect labels by reducing their attention scores in the training process. On the other hand, the special-class activation map module is designed to stimulate the network by focusing on the significant regions from the samples with correct labels in a approach. Besides the process of feature learning, applying regularization to the classifier is considered to minimize the distance of those samples within the same class and maximize the distance between different class centroids. Quantitative and qualitative evaluations on well- and mislabeled web image datasets demonstrate that the proposed algorithm outperforms the related methods.
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QUANTITATIVE STUDY ON ANTI-PEST ACTIVITY OF NATURAL PRODUCTS BASED ON VISUALIZATION FRAMEWORK OF KNOWLEDGE

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 2,   Pages 306-332 doi: 10.15302/J-FASE-2023488

Abstract:

● Using visual analysis to predict the trend of natural product pest resistance.

Keywords： anti-pest activity     crop protection     insect pest     natural product     visual analysis    

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Words alignment based on association rules for cross-domain sentiment classification None

Xi-bin JIA, Ya JIN, Ning LI, Xing SU, Barry CARDIFF, Bir BHANU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 2,   Pages 260-272 doi: 10.1631/FITEE.1601679

Abstract: Automatic classification of sentiment data (e.g., reviews, blogs) has many applications in enterpriseHowever, it is difficult to train an accurate sentiment classifier for different domains.One of the major reasons is that people often use different words to express the same sentiment in differentSo, the accuracy of the sentiment classifier will decline sharply when we apply a classifier trainedpropose a novel approach called words alignment based on association rules (WAAR) for cross-domain sentiment

Keywords： Sentiment classification     Cross-domain     Association rules    

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3D Modeling and Visualization of Virtual Construction Grou p

Zhang Zhengfeng,Fu Jinqiang,Zhang Fayu

Strategic Study of CAE 2007, Volume 9, Issue 5,   Pages 53-56

Abstract:  Taking into account the matching of 3D object with terrain model,  the visualization processesof digital city are analyzed. 3D modeling and visualization of residential district are realized.

Keywords： virtual construction group     3D modeling     visualization     terrain match    

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Several hot spots in engineering computing visualization

Zheng Peng,He Tiening

Strategic Study of CAE 2009, Volume 11, Issue 9,   Pages 44-47

Abstract:

Visualization technique confronts great challenges raised by large-scaleKey research problems such as visualization expression, algorithm optimization and integrated solvingconcluded that communication with application fields should be attached more importance to development of visualization

Keywords： engineering computing     engineering numerical simulation     visualization    

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Visualization of amino acid composition differences between processed protein from different animal species

Xingfan ZHOU,Zengling YANG,Longjian CHEN,Lujia HAN

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 2,   Pages 171-179 doi: 10.15302/J-FASE-2016095

Abstract: Amino acids are the dominant organic components of processed animal proteins, however there has been limited investigation of differences in their composition between various protein sources. Information on these differences will not only be helpful for their further utilization but also provide fundamental information for developing species-specific identification methods. In this study, self-organizing feature maps (SOFM) were used to visualize amino acid composition of fish meal, and meat and bone meal (MBM) produced from poultry, ruminants and swine. SOFM display the similarities and differences in amino acid composition between protein sources and effectively improve data transparency. Amino acid composition was shown to be useful for distinguishing fish meal from MBM due to their large concentration differences between glycine, lysine and proline. However, the amino acid composition of the three MBMs was quite similar. The SOFM results were consistent with those obtained by analysis of variance and principal component analysis but more straightforward. SOFM was shown to have a robust sample linkage capacity and to be able to act as a powerful means to link different sample for further data mining.

Keywords： self-organizing feature maps     visualization     processed animal proteins (PAPs)     amino acid    

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Development and Application of Fault Tree Ananlysis System Based on Visualization

Shi Shiliang,Lu Bentao

Strategic Study of CAE 2004, Volume 6, Issue 11,   Pages 66-72

Abstract: The FTA visualization analysis system supplies high efficiency and correct technology and measures for

Keywords： safety technology and engineering     safety assessment     FTA     visualization     analysis system    

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The influence of social media on stock volatility

Xianjiao WU, Xiaolin WANG, Shudong MA, Qiang YE

Frontiers of Engineering Management 2017, Volume 4, Issue 2,   Pages 201-211 doi: 10.15302/J-FEM-2017018

Abstract: social factors, such as increased attention to a stock’s volatility, is more significant than public sentimentA prediction model is introduced based on social factors and public sentiment to predict stock volatility

Keywords： stock volatility     social data     sentiment analysis     boosting algorithm    

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Visualization of force networks in 2D dense granular materials

Jianguo LIU, Qicheng SUN, Feng JIN,

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 1,   Pages 109-115 doi: 10.1007/s11709-010-0003-8

Abstract: Dense granular matter is a conglomeration of discrete solid and closely packed particles. As subjected to external loadings, the stress is largely transmitted by heavily stressed chains of particles forming a sparse network of larger contact forces. To understand the structure and evolution of force chains, a photoelastic technique was improved for determining stresses and strains in the assemblies of photoelastic granular disks in this paper. A two-dimensional vertical slab was designed. It contains 7200 polydispersed photoelastic disks and is subjected to a localized probe penetrating at the top of the slab to mimic the cone penetration test. The interparticle contact force distribution was found a peak around the mean value, a roughly exponential tail for greater force and a dip toward zero for smaller force. The force chain network around the probe tip was depicted, and the contact angle distribution of particles in force chains was found to be well aligned in the directions of major principal stress.

Keywords： granular matter     force chain     multiscale modeling    

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Three-Dimensional Visualization and Analysis of Geoinformation in Hydroelectric Engineering

Liu Donghai,Zhong Denghua,Li Mingchao

Strategic Study of CAE 2004, Volume 6, Issue 5,   Pages 65-70

Abstract:

As the traditional description of engineering geoinformation is lack of visualization, and can notBy using GIS and visualization techniques, a method of geological digital 3-D modeling and its visualization

Keywords： hydroelectric engineering     geoinformation     3D visualization     GIS     geological analysis    

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Qian Xuesen—An Example for Scientific and Technological Circles to Learn From

Tu Yuanji

Strategic Study of CAE 2002, Volume 4, Issue 2,   Pages 1-7

Abstract:

Qian Xuesen´s life-time is reviewed in this article and his excellent character and behaviour that are benefited from good family breeding and school education are highly praised. His brilliant talent and plentiful attainments after receiving his training under Theodore von Kármán in the United States are introduced. The article describes, with host of facts that are rarely known, Qian´s unrelenting struggle for returning homeland and the contributions he made with all his heart to China´s space undertaking after he returned to China. Finally, the article reveals Qian´s lofty ideological level and virtuous character towards money, honour and position.

Keywords： tackle key problems in science and technology     work style     thinking and moral character     revolutionary sentiment    

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Title Author Date Type Operation

TDIVis: visual analysis of tourism destination images

Meng-qi CAO, Jing LIANG1, Ming-zhao LI, Zheng-hao ZHOU, Min ZHU

Journal Article

Review of sentiment analysis: An emotional product development view

Journal Article

Experimental investigation of multiphase flow behavior in drilling annuli using high speed visualization

Alap Ali ZAHID, Syed Raza ur REHMAN, Anwarul HASAN, S. RUSHD, Mohammad Azizur RAHMAN

Journal Article

Study on the Model and Its Visualization for Dynamic Allocation of Earth

Hu Chengshun,Zheng Denghua,Zhang Jin,Hong Wen,Li Mingchao

Journal Article

NLWSNet: a weakly supervised network for visual sentiment analysis in mislabeled web images

Luo-yang Xue, Qi-rong Mao, Xiao-hua Huang, Jie Chen,mao_qr@ujs.edu.cn

Journal Article

QUANTITATIVE STUDY ON ANTI-PEST ACTIVITY OF NATURAL PRODUCTS BASED ON VISUALIZATION FRAMEWORK OF KNOWLEDGE

Journal Article

Words alignment based on association rules for cross-domain sentiment classification

Xi-bin JIA, Ya JIN, Ning LI, Xing SU, Barry CARDIFF, Bir BHANU

Journal Article

3D Modeling and Visualization of Virtual Construction Grou p

Zhang Zhengfeng,Fu Jinqiang,Zhang Fayu

Journal Article

Several hot spots in engineering computing visualization

Zheng Peng,He Tiening

Journal Article

Visualization of amino acid composition differences between processed protein from different animal species

Xingfan ZHOU,Zengling YANG,Longjian CHEN,Lujia HAN

Journal Article

Development and Application of Fault Tree Ananlysis System Based on Visualization

Shi Shiliang,Lu Bentao

Journal Article

The influence of social media on stock volatility

Xianjiao WU, Xiaolin WANG, Shudong MA, Qiang YE

Journal Article

Visualization of force networks in 2D dense granular materials

Jianguo LIU, Qicheng SUN, Feng JIN,

Journal Article

Three-Dimensional Visualization and Analysis of Geoinformation in Hydroelectric Engineering

Liu Donghai,Zhong Denghua,Li Mingchao

Journal Article

Qian Xuesen—An Example for Scientific and Technological Circles to Learn From

Tu Yuanji

Journal Article