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Nonlinear design-point performance adaptation approaches and their comparisons for gas turbine applications

Y. G. LI, P. PILIDIS,

Frontiers in Energy 2009, Volume 3, Issue 4,   Pages 446-455 doi: 10.1007/s11708-009-0042-9

Abstract: method and the other using a Genetic Algorithm-based adaptation approach.The advantages and disadvantages of the two adaptation methods have been compared with each other.The two adaptation approaches have been applied to a model gas turbine engine.The comparison of the two adaptation methods shows that the nonlinear matrix inverse method is fasterand more accurate, while the genetic algorithm-based adaptation method is more robust but slower.

Keywords： gas turbine     engine     performance adaptation     performance matching     design-point performance simulation     influence    

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Dual collaboration for decentralized multi-source domain adaptation Research Article

Yikang WEI, Yahong HAN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1780-1794 doi: 10.1631/FITEE.2200284

Abstract: supervision knowledge with the collaboration of source models, while the domain gap will lead to limited adaptationcollaboration between the decentralized source domains and target domain, which improves the domain adaptation

Keywords： Multi-source domain adaptation     Data decentralization     Domain shift     Negative transfer    

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Comments on “Adaptation of Chinese and German maize-based food-feed-energy systems to limited phosphate

Antje SCHWALB

Frontiers of Agricultural Science and Engineering 2019, Volume 6, Issue 4,   Pages 443-444 doi: 10.15302/J-FASE-2019288

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Dynamic parameterized learning for unsupervised domain adaptation Research Article

Runhua JIANG, Yahong HAN

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1616-1632 doi: 10.1631/FITEE.2200631

Abstract: enables neural networks to transfer from a labeled source domain to an unlabeled target domain by learning domain-invariant representations. Recent approaches achieve this by directly matching the marginal distributions of these two domains. Most of them, however, ignore exploration of the dynamic trade-off between and learning, thus rendering them susceptible to the problems of negative transfer and outlier samples. To address these issues, we introduce the dynamic parameterized learning framework. First, by exploring domain-level semantic knowledge, the dynamic alignment parameter is proposed, to adaptively adjust the of and learning. Besides, for obtaining semantic-discriminative and domain-invariant representations, we propose to align training trajectories on both source and target domains. Comprehensive experiments are conducted to validate the effectiveness of the proposed methods, and extensive comparisons are conducted on seven datasets of three visual tasks to demonstrate their practicability.

Keywords： Unsupervised domain adaptation     Optimization steps     Domain alignment     Semantic discrimination    

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Challenges and countermeasures of urban water systems against climate change: a perspective from China

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 12, doi: 10.1007/s11783-023-1756-3

Abstract:

● Urban water systems are challenged by climate change.

Keywords： Climate change     Urban water system     Resilience     Adaptation     Mitigation    

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The Role of Hydropower in Climate Change Mitigation and Adaptation: A Review

Luis Berga

Engineering 2016, Volume 2, Issue 3,   Pages 313-318 doi: 10.1016/J.ENG.2016.03.004

Abstract: significantly to climate change mitigation, and could play an important role in the climate change adaptation

Keywords： Renewable energy     Hydropower     Climate change mitigation     Impacts of climate change    

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Climate change and the engineering projects of the Qinghai-Tibet Plateau

Ren Guoyu

Strategic Study of CAE 2012, Volume 14, Issue 9,   Pages 90-95

Abstract: necessary, in such areas as the construction of large engineering projects, to plan for cost-benefit adaptationA framework of adaptation measures for different fields of engineering construction is discussed in this

Keywords： climate change     adaptation     ecosystem     environment     engineering projects     Qinghai-Tibet Plateau    

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Comprehensive analysis on China’s National Climate Change Assessment Reports: Action and emphasis

Bing WANG, Ge HONG, Chao-Qun CUI, Hao YU, Tad MURTY

Frontiers of Engineering Management 2019, Volume 6, Issue 1,   Pages 52-61 doi: 10.1007/s42524-019-0002-y

Abstract: The latest progress surrounding climate change impacts, adaptation, and mitigation is outlined with the

Keywords： climate change assessment     low-carbon management     impact     adaptation     mitigation    

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Automatically building large-scale named entity recognition corpora from Chinese Wikipedia

Jie ZHOU,Bi-cheng LI,Gang CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 940-956 doi: 10.1631/FITEE.1500067

Abstract: Named entity recognition (NER) is a core component in many natural language processing applications. Most NER systems rely on supervised machine learning methods, which depend on time-consuming and expensive annotations in different languages and domains. This paper presents a method for automatically building silver-standard NER corpora from Chinese Wikipedia. We refine novel and language-dependent features by exploiting the text and structure of Chinese Wikipedia. To reduce tagging errors caused by entity classification, we design four types of heuristic rules based on the characteristics of Chinese Wikipedia and train a supervised NE classifier, and a combined method is used to improve the precision and coverage. Then, we realize type identification of implicit mention by using boundary information of outgoing links. By selecting the sentences related with the domains of test data, we can train better NER models. In the experiments, large-scale NER corpora containing 2.3 million sentences are built from Chinese Wikipedia. The results show the effectiveness of automatically annotated corpora, and the trained NER models achieve the best performance when combining our silver-standard corpora with gold-standard corpora.

Keywords： NER corpora     Chinese Wikipedia     Entity classification     Domain adaptation     Corpus selection    

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Chinese agricultural technology transfer to African typical dry areas: practice and experience

Qiuxia MENG, Jianjie ZHANG, Wenyan XIE, Huaiping ZHOU, Qiang ZHANG

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 4,   Pages 440-454 doi: 10.15302/J-FASE-2020353

Abstract: A drought early warning system has been established and validated, and drought adaptation technologies

Keywords： drought     early warning     adaptation technology     China     United Nations Environment Program     Africa    

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Adaptation of Chinese and German maize-based food-feed-energy systems to limited phosphate resources—a

Torsten MÜLLER, Fusuo ZHANG

Frontiers of Agricultural Science and Engineering 2019, Volume 6, Issue 4,   Pages 313-320 doi: 10.15302/J-FASE-2019282

Abstract: The new Sino-German international research training group “Adaptation of Chinese and German maize-based

Keywords： international research training group     limited resources     maize     phosphate    

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Research on key technology of thin seam plough complete equipment

Song Qiushuang

Strategic Study of CAE 2011, Volume 13, Issue 11,   Pages 33-38

Abstract:

According to the worldwide problem of thin-seam security and economic exploitation, this paper analyzes the thin-seam mine resource distribution and the present situation of coal mining technology, proposes the technical matters of China's coal plow complete equipment system, gives some technical solutions through analyzing and researching on key technology of complete equipment, and provides technical support for automatic system of plough.

Keywords： complete plant of plough     directional and quantitative pushing     heterogeneous geological     selfadaptation    

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Multiscale RBF-based central high resolution schemes for simulation of generalized thermoelasticity problems

Hassan YOUSEFI, Alireza TAGHAVI KANI, Iradj MAHMOUDZADEH KANI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 2,   Pages 429-455 doi: 10.1007/s11709-018-0483-5

Abstract: To have cost effective and accurate simulations, the multiresolution–based grid adaptation approach is

Keywords： high resolution schemes     RBFs     higher order accuracy     generalized thermoelasticity     multiresolution-based adaptation    

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Towards a self-adaptive service-oriented methodology based on extended SOMA

Alireza PARVIZI-MOSAED,Shahrouz MOAVEN,Jafar HABIBI,Ghazaleh BEIGI,Mahdieh NASER-SHARIAT

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 1,   Pages 43-69 doi: 10.1631/FITEE.1400040

Abstract: We propose a self-adaptive process (SAP) that maintains the software architecture quality using the MAPE-K standard model. The proposed process can be plugged into various software development processes and service-oriented methodologies due to its explicitly defined inputs and outputs. To this aim, the proposed SAP is integrated with the service-oriented modeling and application (SOMA) methodology in a two-layered structure to create a novel methodology, named self-adaptive service-oriented architecture methodology (SASOAM), which provides a semi-automatic self-aware method by the composition of architectural tactics. Moreover, the maintenance activity of SOMA is improved using architectural and adaptive patterns, which results in controlling the software architecture quality. The improvement in the maintainability of SOMA is demonstrated by an analytic hierarchy process (AHP) based evaluation method. Furthermore, the proposed method is applied to a case study to represent the feasibility and practicality of SASOAM.

Keywords： Quality attribute     Adaptation pattern     Architectural tactic     Service-oriented architecture     Self-adaptive    

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Layer-wise domain correction for unsupervised domain adaptation Article

Shuang LI, Shi-ji SONG, Cheng WU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1,   Pages 91-103 doi: 10.1631/FITEE.1700774

Abstract: shift or data bias problems, we introduce layer-wise domain correction (LDC), a new unsupervised domain adaptationLDC requires no target labels, achieves state-of-the-art performance across several adaptation benchmarks, and requires significantly less training time than existing adaptation methods.

Keywords： Unsupervised domain adaptation     Maximum mean discrepancy     Residual network     Deep learning    

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Title Author Date Type Operation

Nonlinear design-point performance adaptation approaches and their comparisons for gas turbine applications

Y. G. LI, P. PILIDIS,

Journal Article

Dual collaboration for decentralized multi-source domain adaptation

Yikang WEI, Yahong HAN

Journal Article

Comments on “Adaptation of Chinese and German maize-based food-feed-energy systems to limited phosphate

Antje SCHWALB

Journal Article

Dynamic parameterized learning for unsupervised domain adaptation

Runhua JIANG, Yahong HAN

Journal Article

Challenges and countermeasures of urban water systems against climate change: a perspective from China

Journal Article

The Role of Hydropower in Climate Change Mitigation and Adaptation: A Review

Luis Berga

Journal Article

Climate change and the engineering projects of the Qinghai-Tibet Plateau

Ren Guoyu

Journal Article

Comprehensive analysis on China’s National Climate Change Assessment Reports: Action and emphasis

Bing WANG, Ge HONG, Chao-Qun CUI, Hao YU, Tad MURTY

Journal Article

Automatically building large-scale named entity recognition corpora from Chinese Wikipedia

Jie ZHOU,Bi-cheng LI,Gang CHEN

Journal Article

Chinese agricultural technology transfer to African typical dry areas: practice and experience

Qiuxia MENG, Jianjie ZHANG, Wenyan XIE, Huaiping ZHOU, Qiang ZHANG

Journal Article

Adaptation of Chinese and German maize-based food-feed-energy systems to limited phosphate resources—a

Torsten MÜLLER, Fusuo ZHANG

Journal Article

Research on key technology of thin seam plough complete equipment

Song Qiushuang

Journal Article

Multiscale RBF-based central high resolution schemes for simulation of generalized thermoelasticity problems

Hassan YOUSEFI, Alireza TAGHAVI KANI, Iradj MAHMOUDZADEH KANI

Journal Article

Towards a self-adaptive service-oriented methodology based on extended SOMA

Alireza PARVIZI-MOSAED,Shahrouz MOAVEN,Jafar HABIBI,Ghazaleh BEIGI,Mahdieh NASER-SHARIAT

Journal Article

Layer-wise domain correction for unsupervised domain adaptation

Shuang LI, Shi-ji SONG, Cheng WU

Journal Article