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RISS 인기검색어
- 검색키워드
- 저자 : ( Wenting Huang ) (검색결과 4 건)
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Applying Biotope Concepts and Approaches for Sustainable Environmental Design
Yan Huang,Yichao Ma,Wenting Wu,Qinzhi Lv 대한토목학회 2017 KSCE JOURNAL OF CIVIL ENGINEERING Vol.21 No.5
Depletion of natural resources and habitat destruction has led to changes in ecosystems from the global to the local scale. For this reason, numerous theories and methods from landscape ecology have emerged and applied in sustainable landscape planning and design, including meso-and micro-scale biotope design. Although many research on biotope effectively promoting biodiversity conservation, the concept of biotope and the biotope approaches in sustainable environmental design have not been well depicted. In the present study, we propose a basic process of biotope design and several key points of design in response to increasing ecological pressure from urban areas or rural areas. We believe this conceptual method will contribute an essential tool to address the spatial dimension for achieving socio-economic and ecological sustainability.
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Learning Similarity with Probabilistic Latent Semantic Analysis for Image Retrieval
( Xiong Li ),( Qi Lv ),( Wenting Huang ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.4
It is a challenging problem to search the intended images from a large number of candidates. Content based image retrieval (CBIR) is the most promising way to tackle this problem, where the most important topic is to measure the similarity of images so as to cover the variance of shape, color, pose, illumination etc. While previous works made significant progresses, their adaption ability to dataset is not fully explored. In this paper, we propose a similarity learning method on the basis of probabilistic generative model, i.e., probabilistic latent semantic analysis (PLSA). It first derives Fisher kernel, a function over the parameters and variables, based on PLSA. Then, the parameters are determined through simultaneously maximizing the log likelihood function of PLSA and the retrieval performance over the training dataset. The main advantages of this work are twofold: (1) deriving similarity measure based on PLSA which fully exploits the data distribution and Bayes inference; (2) learning model parameters by maximizing the fitting of model to data and the retrieval performance simultaneously. The proposed method (PLSA-FK) is empirically evaluated over three datasets, and the results exhibit promising performance.
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Cerium-loaded MnOx/attapulgite catalyst for the low-temperature NH3-selective catalytic reduction
Aijuan Xie,Xingmeng Zhou,Xiaoyan Huang,Liang Ji,Wenting Zhou,Shiping Luo,Chao Yao 한국공업화학회 2017 Journal of Industrial and Engineering Chemistry Vol.49 No.-
A series of MnO2/attapulgite (ATP) and n(Ce):n(Mn)/ATP (molar ratios) catalysts were prepared andinvestigated for the selective catalytic reduction of NO by NH3 (NH3-SCR) at low temperature. The resultsshowed that the 7 wt % MnO2/ATP exhibited the best NOx conversion (85% at 300 C) among all MnO2/ATPcatalysts of different mass ratios. The introduction of cerium enhanced the NOx conversion at lowtemperature, and so Ce–MnOx/ATP can reach the highest NOx conversion (95% at 300 C). Meanwhile, theas-prepared catalysts were characterized by XRD, TEM, BET, H2-TPR, NH3-TPD, and XPS. It can be deducedfrom TEM, XRD, and BET, MnOx nanorods in this work mainly existed in the b-MnO2, and cerium highlydispersed on the surface of ATP to form porous structure and thus improved the deNOx performance. Moreover, the study of SO2 tolerance demonstrated that cerium can effectively inhibit SO2 poison. XPSresults illustrated that Ce could enhance Mn4+ content on the surface of the catalyst and thus lead to highSCR activity. Therefore Mn(1):Ce(0.25)/ATP was proved to be an excellent catalyst for NH3-SCR.
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Ma Weihua,Long Denglong,Wang Yi,Li Xinyu,Huang Jiaxing,Shen Jinshan,Su Wenting,Jiang Yusuo,Li Jie 한국응용곤충학회 2021 Journal of Asia-Pacific Entomology Vol.24 No.1
Honeybee pollination behavior is influenced by flower volatiles, which honeybees sense via olfactory receptors. Honeybees are only weakly attracted to pear flowers. To investigate the potential reasons, we extracted and determined the floral volatile compounds from three pear cultivars (Su, Ya, and Xuehua) using headspace solidphase micro-extraction (HS-SPME) and gas chromatography-mass spectrometry (GC–MS). The effects of pear flower volatiles on the Asian honeybee (Apis cerana cerana Fabricius) and the European honeybee (Apis mellifera ligustica Spinola) were determined by electroantennogram (EAG) assays and behavioral tests in a three-arm olfactometer. Among the 76 flower volatiles detected with GC–MS, 21 were found in all three pear cultivars, accounting for approximately 70% of the total volatile content. 3-Methyl-1-butanol and (+)-limonene volatiles had the highest relative content. Five compounds elicited strong EAG responses in both bee species: 2-methylbu tyraldehyde, 1-nonanal, 6-methyl-5-hepten-2-one, 3-methyl-1-butanol, and (+)-limonene. Neither bee species showed positive taxis to these volatiles. In behavioral tests, A. mellifera ligustica showed a low preference for 6-methyl-5-hepten-2-one (20%, 400 µg/µL) and 2-phenethyl alcohol (16.7%, 400 µg/µL). Apis cerana cerana showed a low preference for 6-methyl-5-hepten-2-one (6.7%, 400 µg/µL) and 1-nonanal (10%, 400 µg/µL), whereas its preferences for 3-methyl-1-butanol (43.3%, 400 µg/µL) and α-farnesene (40%, 400 µg/µL) were similar to that for the control. Therefore, a lack of attractive volatile compounds could explain why honeybees are only weakly attracted to pear flowers. Therefore, to achieve acceptable pollination in pear orchards, we suggest using flower-scent sugar syrup feeding and a saturation pollination strategy.
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