UMR 7320 : Bases, Corpus, Langage

titre: Soil and root development during the phytostabilization of ion-adsorption REE mine tailings
auteur: Hermine Huot, Liu Chang, Meina Guo, Wenshen Liu, F. Watteau, Geoffroy Séré, Ye-Tao Y.-T. Tang, Rongliang Qiu, Jean-Louis Morel
article: SUITMA 10, Jun 2019, Seoul, South Korea
annee_publi: 2019
typdoc: Communication dans un congrès
Accès au bibtex

titre: Soil development in ion-adsorbed rare earth elements mine tailings to assess the sustainability of the reclamation
auteur: Hermine Huot, Meina Guo, Liu Chang, Wenshen Liu, Geoffroy Séré, Françoise Watteau, Jean-Louis Morel, Ye-Tao Y.-T. Tang, Rongliang Qiu, Marie-Odile Simonnot
article: 21st World Congress of Soil Science, Aug 2018, Rio de Janeiro, Brazil
annee_publi: 2018
typdoc: Communication dans un congrès
Accès au bibtex

titre: New NNI Model in Winter Wheat Based on Hyperspectral Index
auteur: Wang Jianwen, Li Zhenhai, Xingang Xu, Zhu Hongchun, Feng Haikuan, Liu Chang, Gan Ping, Xu Xiaobin
article: 11th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Aug 2017, Jilin, China. pp.154-161, ⟨10.1007/978-3-030-06179-1_16⟩
annee_publi: 2017
resume: Nitrogen nutrition index (NNI) can monitor winter wheat nitrogen status precisely. Current studies by remote sensing data are to construct the above-ground biomass (AGB) and plant nitrogen concentration (PNC) with spectral indices, respectively, and then substitute them into established NNI equation. This leads to an accumulation of unavoidable error. Therefore, the objective in the study was to construct a direct NNI equation with remote sensing data to reduce this error. Field measurements data including AGB, PNC and canopy hyperspectral at different winter wheat growth stages during 2012/2013, 2013/2014, 2014/2015, 2015/2016 growing seasons in Beijing, China were collected. This study was endeavored to establish a vegetation index critical N dilution curve (Nvic) with two different spectral indices, RTVI (Red edge Triangular Vegetation Index) and NDVI/PPR (the ratio of the normalized difference vegetation index to the plant pigment ratio), which are sensitive to AGB and PNC, respectively. The vegetation index NNI (NNIvi) was calculated from the ratio between the NDVI/PPR and Nvic. Results showed that (1) Nvic can be described by an equation, Nvic = 1106.4(VIRTVI)−1.512, where RTVI ranged from 2.39 to 22.14; the determination coefficient (R2) was 0.57; (2) The NNI based on the above Nvic dilution curve was in good accordance with the classical NNI, with the root mean square error (RMSE), normalized RMSE (nRMSE) and normalized average error (NAE) of 0.194, 22%, and 11%, respectively. The critical nitrogen dilution model constructed in this study was available for winter wheat nitrogen status monitoring. Thus, this study offers a new method which was suitable and convenient for estimating the NNI of the winter wheat and it can reduce quadric error for constructing NNI through indices directly instead of inversing AGB and PNC.
typdoc: Communication dans un congrès
Accès au texte intégral et bibtex

titre: Studying soil development in ion-adsorbed REE mine tailings as tool to assess the sustainability of revegetation
auteur: Hermine Huot, Meina Guo, Liu Chang, Wenshen Liu, Geoffroy Séré, Françoise Watteau, Jean-Louis Morel, Ye-Tao Y.-T. Tang, Rongliang Qiu
article: SUITMA 9, May 2017, Moscou, Russia
annee_publi: 2017
typdoc: Communication dans un congrès
Accès au bibtex

titre: Multi-criteria Decision Making based on Trust and Reputation in Supply Chain
auteur: Liu Chang, Yacine Ouzrout, Antoine Nongaillard, Abdelaziz Bouras, Zhou Jiliu
article: International Journal of Production Economics, 2014, 147 (Part B), pp.362-372. ⟨10.1016/j.ijpe.2013.04.014⟩
annee_publi: 2014
resume: Decision making is a core problem in Supply Chains. A large number of studies in literature have reported various decision making techniques based on customers' requirements. Taking into account high risk transactions in virtual Supply Chain market, trust is a very critical element and should be treated as an important reference when customers try to select proper suppliers. Recently, a great effort has been carried out to develop decision making based on trust and reputation. However, these research works still stay on the stage of theoretical research. This paper presents and implements a multi-criteria decision making approach based on trust and reputation in Supply Chain. Firstly, this paper defines general trust indicators in real Supply Chain settings, and designs a multi-dimensional trust and reputation model. This paper also introduces K-mean clustering algorithm to remove unfair rating scores. Then, based on this trust and reputation model, we propose a multi-criteria decision making approach based on variable weights and satisfaction principle. In order to validate the performance of this approach, we simulate a practical Supply Chain setting with multi-agents platform. The simulation experiments demonstrate that the proposed trust and reputation model can effectively filter unfair ratings from those customers who did lie and the proposed multi-criteria decision making method can help customers make right decisions.
typdoc: Article dans une revue
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titre: Evaluation model for e-tourism product: A Hidden Markov Model-based algorithm
auteur: Liu Chang, Yacine Ouzrout, Antoine Nongaillard, Abdelaziz Bouras, Zhou Jiliu
article: International Journal of Technology Management, 2014, 64 (1), pp.45-63. ⟨10.1504/IJTM.2014.059235⟩
annee_publi: 2014
resume: Nowadays, e-tourism is widely pronounced as a kind of web marketing for tourism businesses. Tourist agencies and tourism service providers are able to access their customers directly in a cost-effective way. In this context, due to the high uncertainty of business using the internet, reputation systems play a key role in e-tourism business. After a literature review, and an analysis of the limits of the existing models, we propose a new reputation evaluation model based on optimisation hidden Markov model with particle swarm optimisation (PSOHMM). In order to apply this algorithm into e-tourism services/products evaluation, a number of experiments are presented. These simulation experiments demonstrate the efficiency of the PSOHMM, and the fact that it is more stable than others algorithm to search quickly optimal solutions and to detect any change in the behaviour of the e-tourism providers.
typdoc: Article dans une revue
Accès au bibtex

titre: The Reputation Evaluation based on Optimized Hidden Markov Model in E-commerce
auteur: Liu Chang, Yacine Ouzrout, Antoine Nongaillard, Abdelaziz Bouras, Zhou Jiliu
article: Mathematical Problems in Engineering, 2013, 2013, ⟨10.1155/2013/391720⟩
annee_publi: 2013
resume: Abstract.
typdoc: Article dans une revue
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