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Special Topic on environment and sustainable development

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 291-292 doi: 10.1007/s11705-017-1667-6

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Supervised topic models with weighted words: multi-label document classification None

Yue-peng ZOU, Ji-hong OUYANG, Xi-ming LI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4,   Pages 513-523 doi: 10.1631/FITEE.1601668

Abstract: Supervised topic modeling algorithms have been successfully applied to multi-label document classificationRepresentative models include labeled latent Dirichlet allocation (L-LDA) and dependency-LDA.However, these models neglect the class frequency information of words (i.e., the number of classes whereExperimental results demonstrate that CF-weight based algorithms are competitive with the existing supervised topicmodels.

Keywords： Supervised topic model     Multi-label classification     Class frequency     Labeled latent Dirichlet allocation    

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Cohort-based personalized query auto-completion Regular Papers-Research Articles

Dan-yang JIANG, Hong-hui CHEN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 9,   Pages 1246-1258 doi: 10.1631/FITEE.1800010

Abstract: To be effective, such personalized QAC models rely on the access to sufficient context about each userWe build an individual’s interest profile by learning his/her topic preferences through topic modelsAs conventional topic models are unable to automatically learn cohorts, we propose two cohort topic modelsthat handle topic modeling and cohort discovery in the same framework.We present four cohortbased personalized QAC models that employ four different cohort discovery strategies

Keywords： Query auto-completion     Cohort-based retrieval     Topic models    

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Topic discovery and evolution in scientific literature based on content and citations Article

Hou-kui ZHOU, Hui-min YU, Roland HU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1511-1524 doi: 10.1631/FITEE.1601125

Abstract: In this paper, we propose a citation- content-latent Dirichlet allocation (LDA) topic discovery methodThe citation-content-LDA topic model exploits a two-level topic model that includes the citation informationWe also propose a topic evolution algorithm that runs in two steps: topic segmentation and topic dependencyWe have tested the proposed citation-content-LDA model and topic evolution algorithm on two online datasetsSociety (CS), to demonstrate that our algorithm effectively discovers important topics and reflects the topic

Keywords： Topic extraction     Topic evolution     Evaluation method    

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Emerging topic identification from app reviews via adaptive online biterm topic modeling Research Article

Wan ZHOU, Yong WANG, Cuiyun GAO, Fei YANG,yongwang@ahpu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 5,   Pages 678-691 doi: 10.1631/FITEE.2100465

Abstract: Emerging topics in highlight the topics (e.g., software bugs) with which users are concerned during certain periods. Identifying emerging topics accurately, and in a timely manner, could help developers more effectively update apps. Methods for identifying emerging topics in based on s or clustering methods have been proposed in the literature. However, the accuracy of is reduced because reviews are short in length and offer limited information. To solve this problem, an improved (IETI) approach is proposed in this work. Specifically, we adopt techniques to reduce noisy data, and identify emerging topics in using the adaptive online biterm . Then we interpret the implicature of emerging topics through relevant phrases and sentences. We adopt the official app changelogs as ground truth, and evaluate IETI in six common apps. The experimental results indicate that IETI is more accurate than the baseline in identifying emerging topics, with improvements in the F1 score of 0.126 for phrase labels and 0.061 for sentence labels. Finally, we release the codes of IETI on Github (https://github.com/wanizhou/IETI).

Keywords： App reviews     Emerging topic identification     Topic model     Natural language processing    

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A review on different theoretical models of electrocaloric effect for refrigeration

Frontiers in Energy 2023, Volume 17, Issue 4,   Pages 478-503 doi: 10.1007/s11708-023-0884-6

Abstract: This paper reviews the electrocaloric effect of ferroelectric materials based on different theoretical models

Keywords： electrocaloric effect     effective Hamiltonian     phase-field modeling     different theoretical models    

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Predictive models on photolysis and photoinduced toxicity of persistent organic chemicals

Qing ZHANG

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 6,   Pages 803-814 doi: 10.1007/s11783-013-0547-7

Abstract: Quantitative structure-activity relationship (QSAR) models that relate photodegradation kinetics or photoinducedThis paper reviews the QSAR models on photodegradation quantum yields and rate constants for toxic organicchemicals in different media including liquid phase, gaseous phase, surfaces of plant leaves, and QSAR models

Keywords： quantitative structure-activity relationship (QSAR) models     photodegradation     persistent organic pollutants    

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Empirical models and design codes in prediction of modulus of elasticity of concrete

Behnam VAKHSHOURI, Shami NEJADI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 38-48 doi: 10.1007/s11709-018-0479-1

Abstract: This study includes: (a) evaluation and comparison of the existing analytical models to estimating theIn addition, a wide range of experimental databases and empirical models to estimate the MOE from compressiveThe results show underestimation of MOE of conventional concrete in majority of the existing models.considering the consistency between density and mechanical properties of concrete, the predicted MOE in the models

Keywords： modulus of elasticity     normal strength normal weight concrete     empirical models     design codes     compressive    

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Personalized topic modeling for recommending user-generated content Article

Wei ZHANG, Jia-yu ZHUANG, Xi YONG, Jian-kou LI, Wei CHEN, Zhe-min LI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 5,   Pages 708-718 doi: 10.1631/FITEE.1500402

Abstract: However, traditional rec-ommendation models do not use user authorship of items.A generative model that combines hierarchical topic modeling and matrix factorization is proposed.Empirical results show that our model outperforms other state-of-the-art models, and can provide interpretabletopic structures for users and items.

Keywords： User-generated content (UGC)     Collaborative filtering (CF)     Matrix factorization (MF)     Hierarchical topic    

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Managing economic and social profit of cooperative models in three-echelon reverse supply chain for waste

Jian Li, Zhen Wang, Bao Jiang

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 5, doi: 10.1007/s11783-017-0999-2

Abstract: The paper investigates cooperative models with different parties in a three-echelon reverse supply chainIn addition, the optimal decisions of four cooperative models and the effect of the market demand of

Keywords： electrical and electronic equipment (WEEE)     Reverse supply chains     Recycle quantity     Social benefit     Cooperative models    

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Impact analytical models for earthquake-induced pounding simulation

Kun YE, Li LI

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 2,   Pages 142-147 doi: 10.1007/s11709-009-0029-y

Abstract: pounding under earthquake has been recently extensively investigated using various impact analytical modelsIn this paper, a brief review on the commonly used impact analytical models is conducted.

Keywords： structural pounding     Hertz model     Kelvin model     nonlinear damping     coefficient of restitution    

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Depth of cut models for multipass abrasive waterjet cutting of alumina ceramics with nozzle oscillation

Jun WANG

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1,   Pages 19-32 doi: 10.1007/s11465-009-0082-1

Abstract: Predictive models for the depth of cut are then developed.particle erosion theories applied to alumina ceramics, before progressing to the development of the modelsThe models are finally assessed both qualitatively and quantitatively with experimental data.

Keywords： abrasive waterjet     engineering ceramics     depth of cut     cutting performance     nozzle oscillation     machining    

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Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 183-197 doi: 10.1007/s11705-021-2073-7

Abstract: design variable space for such scenarios, an adaptive sampling technique based on machine learning models

Keywords： machine learning     flowsheet simulations     constraints     exploration    

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Availability growth models and verification of power equipment

Jinyuan SHI, Jiamin XU

Frontiers in Energy 2021, Volume 15, Issue 2,   Pages 529-538 doi: 10.1007/s11708-019-0624-0

Abstract: The general availability growth models for large scale complicated repairable system such as electricformulas for the maintenance coefficient, mathematical expressions for general availability growth modelsAvailability growth models for electric generating units, power station auxiliaries, and transmissionand distribution installations are given together with verification examples for availability growth modelstransmission and distribution installations conform to the power function, and general availability growth models

Keywords： repairable system     power equipment     electric generating unit     power station auxiliary     transmission and distribution installation     reliability     availability     availability growth model    

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Assessment and validation of liquid breakup models for high-pressure dense diesel sprays

Yi REN,Xianguo LI

Frontiers in Energy 2016, Volume 10, Issue 2,   Pages 164-175 doi: 10.1007/s11708-016-0407-9

Abstract: In this paper, different models for liquid breakup processes in high-pressure dense diesel sprays andhave been evaluated against experimental observations, along with the influence of the liquid breakup modelsThe Taylor-analogy-breakup (TAB) based models and the RT model do not provide reasonable predictions

Keywords： breakup model     diesel engine     high-pressure injection     simulations    

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Title Author Date Type Operation

Special Topic on environment and sustainable development

Journal Article

Supervised topic models with weighted words: multi-label document classification

Yue-peng ZOU, Ji-hong OUYANG, Xi-ming LI

Journal Article

Cohort-based personalized query auto-completion

Dan-yang JIANG, Hong-hui CHEN

Journal Article

Topic discovery and evolution in scientific literature based on content and citations

Hou-kui ZHOU, Hui-min YU, Roland HU

Journal Article

Emerging topic identification from app reviews via adaptive online biterm topic modeling

Wan ZHOU, Yong WANG, Cuiyun GAO, Fei YANG,yongwang@ahpu.edu.cn

Journal Article

A review on different theoretical models of electrocaloric effect for refrigeration

Journal Article

Predictive models on photolysis and photoinduced toxicity of persistent organic chemicals

Qing ZHANG

Journal Article

Empirical models and design codes in prediction of modulus of elasticity of concrete

Behnam VAKHSHOURI, Shami NEJADI

Journal Article

Personalized topic modeling for recommending user-generated content

Wei ZHANG, Jia-yu ZHUANG, Xi YONG, Jian-kou LI, Wei CHEN, Zhe-min LI

Journal Article

Managing economic and social profit of cooperative models in three-echelon reverse supply chain for waste

Jian Li, Zhen Wang, Bao Jiang

Journal Article

Impact analytical models for earthquake-induced pounding simulation

Kun YE, Li LI

Journal Article

Depth of cut models for multipass abrasive waterjet cutting of alumina ceramics with nozzle oscillation

Jun WANG

Journal Article

Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet

Journal Article

Availability growth models and verification of power equipment

Jinyuan SHI, Jiamin XU

Journal Article

Assessment and validation of liquid breakup models for high-pressure dense diesel sprays

Yi REN,Xianguo LI

Journal Article