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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: annotation in the dimensional affect space usually takes the form of a continuous real value which has an ordinalTherefore, we propose an affective rating ranking framework for affect recognition based on face imagesOur approach can appropriately use the ordinal information among affective ratings which are generatedbenchmarking database of the AVEC 2015 Challenge and the selected subset of SEMAINE database, we find that our ordinalranking method is effective in both arousal and valence dimensions.

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

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Identification and ranking of the risky organic contaminants in the source water of the Danjiangkou reservoir

Qingwei BU, Donghong WANG, Zijian WANG, Junnong GU

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 1,   Pages 42-53 doi: 10.1007/s11783-013-0499-y

Abstract: The Danjiangkou reservoir was selected to provide the source water for the middle routes of the South to North Water Transfer Project, which has provoked many environmental concerns. To date, investigations of water contamination of the source water of the Danjiangkou reservoir with organic micro-pollutants have been limited. This study was conducted to identify and rank organic contaminants that pose risks in the Danjiangkou reservoir. To this end, the Chemical Hazard Evaluation and Management Strategies (CHEMS-1) approach was adapted to integrate the deconvolution technology of qualitative identifying contaminants for site-specific environmental matrices. The samples were screened for the presence of 1093 contaminants using deconvolution technologies and the hazard values of the identified contaminants were calculated using the adapted CHEMS-1 approach according to their hazardous properties and occurrence in source water. The results showed that 46 contaminants from 1093 targets were present in Danjiangkou water, 23 of which appeared at frequencies higher than 50%, and 15 of which were identified as priorities. Over half (53%) of the high-ranked contaminants were polycyclic aromatic hydrocarbons (PAHs), with chrysene ranked highest on the list. Health risk assessment of the top-ranked PAHs was conducted and revealed that cancer risks of PAHs detected in the source water of Danjiangkou to different populations ranged from 10 to 10 , indicating a low cancer risk to consumers. The results of this study indicated that the adapted CHEMS-1 approach was feasible for site-specific screening of organic contaminants to identify and rank potential priority pollutants.

Keywords： identification and ranking     source water     deconvolution     risk assessment     Danjiangkou     South to North Water    

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Review on ranking and selection: A new perspective

L. Jeff HONG, Weiwei FAN, Jun LUO

Frontiers of Engineering Management 2021, Volume 8, Issue 3,   Pages 321-343 doi: 10.1007/s42524-021-0152-6

Abstract: In this paper, we briefly review the development of ranking and selection (R&S) in the past 70 years,

Keywords： ranking and selection     hypothesis testing     dynamic programming     simulation    

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Phenomena identification and ranking table exercise for thorium based molten salt reactor-solid fuel

Xiaojing LIU, Qi WANG, Zhaozhong HE, Kun CHEN, Xu CHENG

Frontiers in Energy 2019, Volume 13, Issue 4,   Pages 707-714 doi: 10.1007/s11708-019-0616-0

Abstract: Thorium based molten salt reactor-solid fuel (TMSR-SF) design is an innovative reactor concept that uses high-temperature tristructural-isotropic (TRISO) fuel with a low-pressure liquid salt coolant. In anticipation of getting licensed applications for TMSR-SF in the future, it is necessary to fully understand the significant features and phenomena of TMSR-SF design, as well as its transient behavior during accidents. In this paper, the safety-relevant phenomena, importance, and knowledge base were assessed for the selected events and the transient of TMSR-SF during station blackout scenario is simulated based on RELAP/SCDAPSIM Mod 4.0. The phenomena having significant impact but with limited knowledge of their history are core coolant bypass flows, outlet plenum flow distribution, and intermediate heat exchanger (IHX) over/under cooling transients. Some thermal hydraulic parameters during the station blackout scenario are also discussed.

Keywords： phenomena identification and ranking table (PIRT)     thorium based molten salt reactor-solid fuel (TMSR-SF    

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Elements’ important ranking of China drug safety management system: applying the non-structural

Xiaoping ZHENG, Xiaocui WANG, Tingkuan ZHONG,

Frontiers of Chemical Science and Engineering 2010, Volume 4, Issue 3,   Pages 290-299 doi: 10.1007/s11705-009-0283-5

Abstract: This study not only points out the important ranking of the pivotal elements in China drug safety management

Keywords： management system     different     management     important ranking     non-structural fuzzy    

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Clinical factors associated with composition of lung microbiota and important taxa predicting clinical prognosis in patients with severe community-acquired pneumonia

Frontiers of Medicine 2022, Volume 16, Issue 3,   Pages 389-402 doi: 10.1007/s11684-021-0856-3

Abstract: primary outcome was clinical improvements defined as a decrease of 2 categories and above on a 7-category ordinal

Keywords： severe community-acquired pneumonia     lung microbiota     clinical improvements     7-category ordinal scale    

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Ranking of design scenarios of TMD for seismically excited structures using TOPSIS

Sadegh ETEDALI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1372-1386 doi: 10.1007/s11709-020-0671-y

Abstract: A technique for order performance by similarity to ideal solution (TOPSIS) is utilized for ranking theFurthermore, H of the displacement vector of the structure exhibited optimum ranking among the adopted

Keywords： seismic-excited building     TMD     optimum design     PSO     design scenario     TOPSIS    

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A novel classification method for aid decision of traditional Chinese patent medicines for stroke treatment

Yufeng Zhao, Bo Liu, Liyun He, Wenjing Bai, Xueyun Yu, Xinyu Cao, Lin Luo, Peijing Rong, Yuxue Zhao, Guozheng Li, Baoyan Liu

Frontiers of Medicine 2017, Volume 11, Issue 3,   Pages 432-439 doi: 10.1007/s11684-017-0511-1

Abstract: In this paper, Manifold Ranking is employed to develop the aid-decision model of traditional Chinesemodel of traditional Chinese patent medicines for stroke treatment is constructed based on Manifold Ranking

Keywords： traditional Chinese patent medicines     stroke     aid decision     data mining     manifold ranking    

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Using heterogeneous patent network features to rank and discover influential inventors

Yong-ping DU,Chang-qing YAO,Nan LI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 7,   Pages 568-578 doi: 10.1631/FITEE.1400394

Abstract: In this paper, we present an iteration algorithm called inventor-ranking, to sort the influences of patent

Keywords： Heterogeneous patent network     Influence     Rule-based ranking    

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Evolutionary Decision Making Based on Candidates Ranking

Li Jianqi,Chen Huowang,Wang Bingshan

Strategic Study of CAE 2001, Volume 3, Issue 1,   Pages 62-70

Abstract: analysis techniques, a new decision making method named Evolutionary Decision Making Based on Candidates Rankingtheir expected utility, then Evolutionary Algorithms can be used to search for the expected utility rankingof the whole set of candidate classes, thus the optimal decision can be made based on the ranking.

Keywords： evolutionary decision making     evolutionary robotics     genetic algorithms for ordering problem    

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Afeature selection approach based on a similarity measure for software defect prediction Article

Qiao YU, Shu-juan JIANG, Rong-cun WANG, Hong-yang WANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1744-1753 doi: 10.1631/FITEE.1601322

Abstract: Second, a feature ranking list is generated by sorting the feature weights in descending order, and allfeature subsets are selected from the feature ranking list in sequence.

Keywords： Software defect prediction     Feature selection     Similarity measure     Feature weights     Feature ranking list    

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HAM: a deep collaborative ranking method incorporating textual information Research Articles

Cheng-wei Wang, Teng-fei Zhou, Chen Chen, Tian-lei Hu, Gang Chen,rr@zju.edu.cn,zhoutengfei@zju.edu.cn,cc33@zju.edu.cn,htl@zju.edu.cn,cg@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 8,   Pages 1119-1266 doi: 10.1631/FITEE.1900382

Abstract: The recommendation task with a textual corpus aims to model customer preferences from both user feedback and item textual descriptions. It is highly desirable to explore a very deep neural network to capture the complicated nonlinear preferences. However, training a deeper recommender is not as effortless as simply adding layers. A deeper recommender suffers from the gradient vanishing/exploding issue and cannot be easily trained by gradient-based methods. Moreover, textual descriptions probably contain noisy word sequences. Directly extracting feature vectors from them can harm the recommender’s performance. To overcome these difficulties, we propose a new recommendation method named the HighwAy recoMmender (HAM). HAM explores a highway mechanism to make gradient-based training methods stable. A multi-head attention mechanism is devised to automatically denoise textual information. Moreover, a method is devised to train a deep neural recommender. Empirical studies show that the proposed method outperforms state-of-the-art methods significantly in terms of accuracy.

Keywords： 深度学习；推荐系统；高速公路网络；块坐标梯度下降    

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Intelligent computing budget allocation for on-road trajectory planning based on candidate curves Project supported by the National Natural Science Foundation of China (No. 61273039) Article

Xiao-xin FU,Yong-heng JIANG,De-xian HUANG,Jing-chun WANG,Kai-sheng HUANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 6,   Pages 553-565 doi: 10.1631/FITEE.1500269

Abstract: intelligent computing budget allocation (ICBA) into a candidate-curve-based planning algorithm, namely, ordinal-optimization-based

Keywords： Intelligent computing budget allocation     Trajectory planning     On-road planning     Intelligent vehicles     Ordinal    

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Title Author Date Type Operation

Affective rating ranking based on face images in arousal-valence dimensional space

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

Journal Article

Identification and ranking of the risky organic contaminants in the source water of the Danjiangkou reservoir

Qingwei BU, Donghong WANG, Zijian WANG, Junnong GU

Journal Article

Review on ranking and selection: A new perspective

L. Jeff HONG, Weiwei FAN, Jun LUO

Journal Article

Phenomena identification and ranking table exercise for thorium based molten salt reactor-solid fuel

Xiaojing LIU, Qi WANG, Zhaozhong HE, Kun CHEN, Xu CHENG

Journal Article

Elements’ important ranking of China drug safety management system: applying the non-structural

Xiaoping ZHENG, Xiaocui WANG, Tingkuan ZHONG,

Journal Article

Clinical factors associated with composition of lung microbiota and important taxa predicting clinical prognosis in patients with severe community-acquired pneumonia

Journal Article

Ranking of design scenarios of TMD for seismically excited structures using TOPSIS

Sadegh ETEDALI

Journal Article

A novel classification method for aid decision of traditional Chinese patent medicines for stroke treatment

Yufeng Zhao, Bo Liu, Liyun He, Wenjing Bai, Xueyun Yu, Xinyu Cao, Lin Luo, Peijing Rong, Yuxue Zhao, Guozheng Li, Baoyan Liu

Journal Article

Using heterogeneous patent network features to rank and discover influential inventors

Yong-ping DU,Chang-qing YAO,Nan LI

Journal Article

Evolutionary Decision Making Based on Candidates Ranking

Li Jianqi,Chen Huowang,Wang Bingshan

Journal Article

Afeature selection approach based on a similarity measure for software defect prediction

Qiao YU, Shu-juan JIANG, Rong-cun WANG, Hong-yang WANG

Journal Article

HAM: a deep collaborative ranking method incorporating textual information

Cheng-wei Wang, Teng-fei Zhou, Chen Chen, Tian-lei Hu, Gang Chen,rr@zju.edu.cn,zhoutengfei@zju.edu.cn,cc33@zju.edu.cn,htl@zju.edu.cn,cg@zju.edu.cn

Journal Article

Intelligent computing budget allocation for on-road trajectory planning based on candidate curves Project supported by the National Natural Science Foundation of China (No. 61273039)

Xiao-xin FU,Yong-heng JIANG,De-xian HUANG,Jing-chun WANG,Kai-sheng HUANG

Journal Article

Renata Sentkiewicz: Thermodynamic Architecture Beyond Sustainability Ranking System (2019-9-18)

12 Aug 2021

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