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UsingKinect for real-time emotion recognition via facial expressions

Qi-rong MAO,Xin-yu PAN,Yong-zhao ZHAN,Xiang-jun SHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 4, Pages 272-282 doi: 10.1631/FITEE.1400209

Abstract: Emotion recognition via facial expressions (ERFE) has attracted a great deal of interest with recentIn this paper, we propose a real-time emotion recognition approach based on both 2D and 3D facial expressionTo capture the deformation of the 3D mesh during facial expression, we combine the features of animationemotional profiles (IEPs) and maximum confidence is proposed to recognize emotions with these real-time facial

Keywords： Kinect Emotion recognition Facial expression Real-time classification Fusion algorithm Support vector

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Improved Matching Algorithms for Linear Face Class Model

Fu Yun,Zheng Nanning

Strategic Study of CAE 2005, Volume 7, Issue 2, Pages 47-56

Abstract: proposed, which can solve the problem of detailed controlling and robust iteration for the realistic facialmodeling.

Keywords： facial modeling model matching stochastic gradient descent non-uniform sampling multiresolution analysis

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Subspace transform induced robust similarity measure for facial images

Jian Zhang, Heng Zhang, Li-ling Bo, Hong-ran Li, Shuai Xu, Dong-qing Yuan,zhangjian@jou.edu.cn,zhangheng@jou.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9, Pages 1267-1412 doi: 10.1631/FITEE.1900552

Abstract: Specifically, the TSM method robustly determines the similarity between two well-aligned frontal facial

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Spontaneous versus posed smile recognition via region-specific texture descriptor and geometric facial Article

Ping-ping WU, Hong LIU, Xue-wu ZHANG, Yuan GAO

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7, Pages 955-967 doi: 10.1631/FITEE.1600041

Abstract: paper, we propose a region-specific texture descriptor to represent local pattern changes of different facialThe temporal phase of each facial region is divided by calculating the intensity of the correspondingfacial region rather than the intensity of only the mouth region.results show that both our proposed appearance representation and its combination with geometry-based facial

Keywords： Facial landmark localization Geometric feature Appearance feature Smile recognition

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Continuous modeling of soil morphology —thermomechanical behavior of embankment dams

Bettina ALBERS, Krzysztof WILMANSKI

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 1, Pages 11-23 doi: 10.1007/s11709-010-0081-7

Abstract: Macroscopic modeling of soils is based on a number of properties that refer to the mesoscopic morphologyIn particular, the above mentioned features, especially saturation with water and seepage problems, modeling

Keywords： thermomechanical modeling soil morphology saturation porosity

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Flow and thermal modeling of liquid metal in expanded microchannel heat sink

Frontiers in Energy Pages 796-810 doi: 10.1007/s11708-023-0877-5

Abstract: The flow and thermal modeling of expanded microchannel heat sink (E-MCHS) were analyzed by both using

Keywords： liquid metal cooling heat sink expanded microchannel flow and thermal modeling

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A framework for an integrated unified modeling language

Mohammad ALSHAYEB,Nasser KHASHAN,Sajjad MAHMOOD

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 2, Pages 143-159 doi: 10.1631/FITEE.1500094

Abstract:

The unified modeling language (UML) is one of the most commonly used modeling languages in the softwareframework for integrating the UML extensions and then use the framework to propose an integrated unified modelingThe proposed iUML-g is capable of modeling systems that use different domains.

Keywords： Unified modeling language (UML) Integration Modeling System analysis and design

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Computer modeling of crystal growth of silicon for solar cells

Lijun LIU, Xin LIU, Zaoyang LI, Koichi KAKIMOTO

Frontiers in Energy 2011, Volume 5, Issue 3, Pages 305-312 doi: 10.1007/s11708-011-0155-9

Abstract: The findings show the importance of computer modeling as an effective tool in the analysis and improvement

Keywords： computer modeling silicon crystal growth solar cells

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Lamb wave propagation modeling for structure health monitoring

Xiaoyue ZHANG, Shenfang YUAN, Tong HAO

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 3, Pages 326-331 doi: 10.1007/s11465-009-0045-6

Abstract: The local interaction simulation approach, used for modeling sharp interfaces and discontinuities inThis modeling is based on the local interaction simulation approach theory and is finally accomplishedFinally, the Lamb waves propagation modeling is implemented.

Keywords： Lamb wave modeling LISA/SIM theory finite difference equation finite element

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Affective rating ranking based on face images in arousal-valence dimensional space None

Guo-peng XU, Hai-tang LU, Fei-fei ZHANG, Qi-rong MAO

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 6, Pages 783-795 doi: 10.1631/FITEE.1700270

Abstract: In dimensional affect recognition, the machine learning methods, which are used to model and predict affect, are mostly classification and regression. However, the annotation in the dimensional affect space usually takes the form of a continuous real value which has an ordinal property. The aforementioned methods do not focus on taking advantage of this important information. Therefore, we propose an affective rating ranking framework for affect recognition based on face images in the valence and arousal dimensional space. Our approach can appropriately use the ordinal information among affective ratings which are generated by discretizing continuous annotations. Specifically, we first train a series of basic cost-sensitive binary classifiers, each of which uses all samples relabeled according to the comparison results between corresponding ratings and a given rank of a binary classifier. We obtain the final affective ratings by aggregating the outputs of binary classifiers. By comparing the experimental results with the baseline and deep learning based classification and regression methods on the benchmarking database of the AVEC 2015 Challenge and the selected subset of SEMAINE database, we find that our ordinal ranking method is effective in both arousal and valence dimensions.

Keywords： Ordinal ranking Dimensional affect recognition Valence Arousal Facial image processing

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Building information modeling and its impact on users in the lifeworld: A mediation perspective

Hans VOORDIJK

Frontiers of Engineering Management 2019, Volume 6, Issue 2, Pages 193-206 doi: 10.1007/s42524-019-0013-8

Abstract: Building information modeling (BIM) is expected to have a large impact on users in the lifeworlds in

Keywords： building information modeling mediation enframing lifeworld rationalization Heidegger Habermas Ihde

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Integrating storm surge modeling with traffic data analysis to evaluate the effectiveness of hurricane

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6, Pages 1301-1316 doi: 10.1007/s11709-021-0765-1

Abstract: An integrated storm surge modeling and traffic analysis were conducted in this study to assess the effectivenesspublic awareness of real-time storm surge and wind as well as integrated storm surge and evacuation modeling

Keywords： storm surge modeling traffic evacuation Hurricane Irma

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Hierarchical modeling of stochastic manufacturing and service systems

Zhe George ZHANG, Xiaoling YIN

Frontiers of Engineering Management 2017, Volume 4, Issue 3, Pages 295-303 doi: 10.15302/J-FEM-2017047

Abstract: Such a classification unifies stochastic modeling theory.Such models are appropriate for modeling the detailed operations of a manufacturing system with relativelyThese high-level models are appropriate for modeling large-scale service systems with many servers, suchThis review will help practitioners select the appropriate level of modeling to enhance their understanding

Keywords： stochastic modeling QBD process PH distribution heavy traffic limits diffusion process

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Structural modeling of a typical gas turbine system

Naresh YADAV, Irshad Ahmad KHAN, Sandeep GROVER

Frontiers in Energy 2012, Volume 6, Issue 1, Pages 57-79 doi: 10.1007/s11708-011-0164-8

Abstract: This paper presents an approach for the structural modeling and analysis of a typical gas turbine system

Keywords： system modeling gas turbine system evaluation graph theoretic approach

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HOTSPOTS OF NUTRIENT LOSSES TO AIR AND WATER: AN INTEGRATED MODELING APPROACH FOR EUROPEAN RIVER BASINS

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 4, Pages 579-592 doi: 10.15302/J-FASE-2023526

Abstract:

Nutrient pollution of air and water is a persistent problem in Europe. However, the pollution sources are often analyzed separately, preventing the formulation of integrative solutions. This study aimed to quantify the contribution of agriculture to air, river and coastal water pollution by nutrients. A new MARINA-Nutrients model was developed for Europe to calculate inputs of nitrogen (N) and phosphorus (P) to land and rivers, N emissions to air, and nutrient export to seas by river basins. Under current practice, inputs of N and P to land were 34.4 and 1.8 Tg·yr^–1, respectively. However, only 12% of N and 3% of P reached the rivers. Agriculture was responsible for 55% of N and sewage for 67% of P in rivers. Reactive N emissions to air from agriculture were calculated at 4.0 Tg·yr^–1. Almost two-fifths of N emissions to air were from animal housing and storage. Nearly a third of the basin area was considered as pollution hotspots and generated over half of N emissions to air and nutrient pollution in rivers. Over 25% of river export of N ended up in the Atlantic Ocean and of P in the Mediterranean Sea. These results could support environmental policies to reduce both air and water pollution simultaneously, and avoid pollution swapping.

Keywords： agriculture air-water modeling European rivers nutrient pollution sewage systems source attribution