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6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Zhu, Chuanjun Chen, Yurong Lu, Xinhai Zhang, Chaoyong Huazhong University of Science and Technology Research Center for Land Resource and Real Estate Wuhan 430074 China Department of Mechanical Engineering Hubei Automotive Industries Institute Shiyan 442002 China School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780769537351

Fuzzy measure is subjective scale for the degrees of fuzziness and suitable for analyzing human subjective evaluation processes. It is not easy to provide consistent fuzzy measure values with fuzzy measure properties since they have to be subjective determined. Thus it induces an identification problem that determines measure values with fuzzy measure properties from human-provided. The λ-fuzzy measure is a typical fuzzy measure widely used. Although several studies have been made on λ-fuzzy measure identification, the corresponding computation process is rather complicated and the result is not ideal. In this paper, we introduce a method for identification of λ-fuzzy measures from data set. It is implemented by using modified genetic algorithm and example data is tested, the result shows its applicability. © 2009 IEEE.

关键词： Fuzzy systems

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Investigate and control of power transformer noise

Investigate and control of power transformer noise

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2009 Asia-Pacific Power and Energy engineering Conference, APPEEC 2009

作者： Wen, Tan Wen-Yuanfang Zhang-Xiaowu Bian-Xingming College of Electrical and Electronics Engineering Huazhong University Of Science and Technology Wuhan Hubei Province 430074 China State Grid Electric Power Research Institute Wuhan 430074 Hubei Province China Department of Electrical Engineering Tsinghua University Beijing 100084 China

ISBN: (纸本)9781424424870

The importance and recent achievements in the field of noise control of power transformer are expounded in this paper. Oscillation is presented as the reason for the transformer and cooling system noise. The methods used in transformer noise research are summed up. Generally speaking, far-field radicalization noise can be analyzed by summing up statistic data and setting calculating model, and sound intensity method is more accurate in measuring noise level of a transformer compared with traditional sound pressure method. The measures for controlling the transformer noise are introduced in detail. High-quality silicon-steel is suggested to be used, as well as adopting some effective measures when design, machining and install transformers. Assuasive equipments, muffler, sound insulation board and isolation booth, which will result attenuation in noise transmission, are proposed in order to reducing noise. Lastly but not the least important, opinions on the trend of the transformer noise control are bring forward. © 2009 IEEE.

关键词： Acoustic noise

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Recognition of sand dredges in the Changjiang River based on ASAR remote sensing data

Recognition of sand dredges in the Changjiang River based on...

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MIPPR 2009 - Automatic Target Recognition and Image Analysis: 6th International Symposium on Multispectral Image Processing and Pattern Recognition

作者： Cao, Bo Yang, Shengmei Ye, Song Changjiang River Scientific Research Institute Changjiang Water Resources Commission 23Huangpu Road Wuhan 430010 China College of Hydropower and Information Engineering Huazhong University of Science and Technology 1037 Luoyu Road Wuhan 430074 China

ISBN: (纸本)9780819478061

The research in this paper is to recognize and locate sand dredges in Changjiang River based on ASAR remote sensing data. Chenglingji is selected to be experimental area. Adopting advanced radar remote sensing image can satisfy the requirement to monitor and locate sand dredges in Changjiang River ignoring the effect of weather condition and night limit. The program is developed with the IDL which property is a visual language facing matrix. Some key technologies in this paper, such as filtering and noise reduction, the process of image based on morphology, edge detection, clustering, extraction of ship's shape feature and so on, are researched. Comparing with the information gathering from land monitoring station, this method can achieve satisfied accurateness. © 2009 Copyright SPIE - The International Society for Optical engineering.

关键词： Sand

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research on soil moisture detection based on data fusion of near-infrared spectroscopy and machine vision

Research on soil moisture detection based on data fusion of ...

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American Society of Agricultural and Biological Engineers Annual International Meeting 2009

作者： Xiao, Wu Li, Xiaoyu Li, Peiwu Elbashir, M.A. Wei, Wang Yaoze, Feng College of Engineering and Technology Huazhong Agricultural University Wuhan 430070 China China Agricultural Science Research Institute Wuhan 430070 China University of Gezira Fac. of Agric.Sc Dept. of Agric. Eng. Sudan

ISBN: (纸本)9781615673629

Soil moisture has a direct impact on the growth of crops, agricultural micro-climate, as well as the mechanical properties of the soil. The fusion technology of machine vision and near-infrared spectroscopy method was first introduced to analyze the soil water content. Three kinds of soils mainly paddy soil ,yellow brown soil and tidal soil were collected from Hubei province to construct the soil moisture analysis model based on near-infrared spectroscopy;Using these three kinds of soils beside loess soil, the soil surface image characteristics technique was used to construct soil moisture analysis model;the near-infrared spectroscopy was found to be influenced by the state of the sample, so the method of fusion technology of machine vision and near-infrared spectroscopy was used. The results showed that for the near-infrared spectroscopy soil moisture analysis model the decision coefficient r2 of the forecast and measured value was found to be 0.9946, the root of cross-validation mean square error (RMSECV) was 0.00801 kg·kg-1, the forecast decision coefficient r2 was 0.9919 and the root of prediction mean square error of (RMSEP) was 0.00912 kg-kg-1. Image parameters H, S and V was taken as input for the home network optimal prediction model, the decision coefficient r2 of the forecast and measured value was found to be 0.9849;To resolve the water-saturated soil ,which caused error to the image characteristic parameter the experiment used the feature of near-infrared spectral water absorbing and image parameters HSV to build BP fusion neural network model, the model's r2 could reach up to 0.9961, and the validation analysis error of water samples was less than the method of both near-infrared spectroscopy and machine vision.

关键词： Soil moisture

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Identification of λ-fuzzy Measure by Modified Genetic Algorithms

Identification of λ-fuzzy Measure by Modified Genetic Algor...

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Chuanjun Zhu Yurong Chen Xinhai Lu Chaoyong Zhang Research Center for Land Resource and Real Estate Huazhong University of Science and Technology Wuhan China Department of Mechanical Engineering Hubei Automotive Industrial Institute Shiyan China School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China

Fuzzy measure is subjective scale for the degrees of fuzziness and suitable for analyzing human subjective evaluation processes. It is not easy to provide consistent fuzzy measure values with fuzzy measure properties since they have to be subjective determined. Thus it induces an identification problem that determines measure values with fuzzy measure properties from human-provided. The λ-fuzzy measure is a typical fuzzy measure widely used. Although several studies have been made on λ-fuzzy measure identification, the corresponding computation process is rather complicated and the result is not ideal. In this paper, we introduce a method for identification of ¿-fuzzy measures from data set. It is implemented by using modified genetic algorithm and example data is tested, the result shows its applicability.

关键词： Genetic algorithms Biological cells Fuzzy sets Encoding Genetic mutations Fuzzy systems Mechanical variables measurement Automotive engineering Algorithm design and analysis Anthropometry

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Spectra of identified high-pT π± and p(p¯) in Cu+Cu collisions at sNN=200 GeV

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Physical Review C 2010年第5期81卷 054907-054907页

作者： B. I. Abelev M. M. Aggarwal Z. Ahammed A. V. Alakhverdyants B. D. Anderson D. Arkhipkin G. S. Averichev J. Balewski L. S. Barnby S. Baumgart D. R. Beavis R. Bellwied F. Benedosso M. J. Betancourt R. R. Betts A. Bhasin A. K. Bhati H. Bichsel J. Bielcik J. Bielcikova B. Biritz L. C. Bland B. E. Bonner J. Bouchet E. Braidot A. V. Brandin A. Bridgeman E. Bruna S. Bueltmann I. Bunzarov T. P. Burton X. Z. Cai H. Caines M. Calderón de la Barca Sánchez O. Catu D. Cebra R. Cendejas M. C. Cervantes Z. Chajecki P. Chaloupka S. Chattopadhyay H. F. Chen J. H. Chen J. Y. Chen J. Cheng M. Cherney A. Chikanian K. E. Choi W. Christie P. Chung R. F. Clarke M. J. M. Codrington R. Corliss J. G. Cramer H. J. Crawford D. Das S. Dash A. Davila Leyva L. C. De Silva R. R. Debbe T. G. Dedovich M. DePhillips A. A. Derevschikov R. Derradi de Souza L. Didenko P. Djawotho S. M. Dogra X. Dong J. L. Drachenberg J. E. Draper J. C. Dunlop M. R. Dutta Mazumdar L. G. Efimov E. Elhalhuli M. Elnimr J. Engelage G. Eppley B. Erazmus M. Estienne L. Eun O. Evdokimov P. Fachini R. Fatemi J. Fedorisin R. G. Fersch P. Filip E. Finch V. Fine Y. Fisyak C. A. Gagliardi D. R. Gangadharan M. S. Ganti E. J. Garcia-Solis A. Geromitsos F. Geurts V. Ghazikhanian P. Ghosh Y. N. Gorbunov A. Gordon O. Grebenyuk D. Grosnick B. Grube S. M. Guertin A. Gupta N. Gupta W. Guryn B. Haag T. J. Hallman A. Hamed L.-X. Han J. W. Harris J. P. Hays-Wehle M. Heinz S. Heppelmann A. Hirsch E. Hjort A. M. Hoffman G. W. Hoffmann D. J. Hofman R. S. Hollis H. Z. Huang T. J. Humanic L. Huo G. Igo A. Iordanova P. Jacobs W. W. Jacobs P. Jakl C. Jena F. Jin C. L. Jones P. G. Jones J. Joseph E. G. Judd S. Kabana K. Kajimoto K. Kang J. Kapitan K. Kauder D. Keane A. Kechechyan D. Kettler D. P. Kikola J. Kiryluk A. Kisiel S. R. Klein A. G. Knospe A. Kocoloski D. D. Koetke T. Kollegger J. Konzer M. Kopytine I. Koralt W. Korsch L. Kotchenda V. Kouchpil P. Kravtsov K. Krueger M. Krus L. Kumar P. Kurnadi M. A. C. Lamont J. M. Landgraf S. LaPointe J. Lauret A. Lebedev R. Lednicky C.-H. Lee J. H. Lee W University of Illinois at Chicago Chicago Illinois 60607 USA Panjab University Chandigarh 160014 India Variable Energy Cyclotron Centre Kolkata 700064 India Joint Institute for Nuclear Research Dubna RU-141 980 Russia Kent State University Kent Ohio 44242 USA Brookhaven National Laboratory Upton New York 11973 USA Massachusetts Institute of Technology Cambridge Massachusetts 02139-4307 USA University of Birmingham Birmingham United Kingdom Yale University New Haven Connecticut 06520 USA Wayne State University Detroit Michigan 48201 USA NIKHEF and Utrecht University Amsterdam The Netherlands University of Jammu Jammu 180001 India University of Washington Seattle Washington 98195 USA Czech Technical University in Prague FNSPE Prague 115 19 Czech Republic Nuclear Physics Institute AS CR 250 68 Řež/Prague Czech Republic University of California Los Angeles California 90095 USA Rice University Houston Texas 77251 USA Moscow Engineering Physics Institute Moscow Russia Argonne National Laboratory Argonne Illinois 60439 USA Old Dominion University Norfolk Virginia 23529 USA Shanghai Institute of Applied Physics Shanghai 201800 People’s Republic of China University of California Davis California 95616 USA Texas A&M University College Station Texas 77843 USA Ohio State University Columbus Ohio 43210 USA University of Science and Technology of China Hefei 230026 People’s Republic of China Institute of Particle Physics CCNU (HZNU) Wuhan 430079 People’s Republic of China Tsinghua University Beijing 100084 People’s Republic of China Creighton University Omaha Nebraska 68178 USA Pusan National University Pusan Republic of Korea University of California Berkeley California 94720 USA Institute of Physics Bhubaneswar 751005 India University of Texas Austin Texas 78712 USA Institute of High Energy Physics Protvino Russia Universidade Estadual de Campinas Sao Paulo Brazil Lawrence Berkeley National Laboratory Berkeley California 94720 USA SUB

We report new results on identified (anti)proton and charged pion spectra at large transverse momenta (3<pT<10 GeV/c) from Cu+Cu collisions at sNN=200 GeV using the STAR detector at the Relativistic Heavy Ion Co... 详细信息

We report new results on identified (anti)proton and charged pion spectra at large transverse momenta (3data, and allow for a detailed exploration of the onset of the novel features. Comparative analysis of all available 200 GeV data indicates that the system size is a major factor determining both the magnitude of the hadron spectra suppression at large transverse momenta and the relative baryon to meson enhancement.

关键词： Spectra antiprotons Transverse electrified pi-Mesons Collisions

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Observation of π+π−π+π− photoproduction in ultraperipheral heavy-ion collisions at sNN=200 GeV at the STAR detector

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Physical Review C 2010年第4期81卷 044901-044901页

作者： B. I. Abelev M. M. Aggarwal Z. Ahammed A. V. Alakhverdyants B. D. Anderson D. Arkhipkin G. S. Averichev J. Balewski L. S. Barnby S. Baumgart D. R. Beavis R. Bellwied F. Benedosso M. J. Betancourt R. R. Betts A. Bhasin A. K. Bhati H. Bichsel J. Bielcik J. Bielcikova B. Biritz L. C. Bland B. E. Bonner J. Bouchet E. Braidot A. V. Brandin A. Bridgeman E. Bruna S. Bueltmann I. Bunzarov T. P. Burton X. Z. Cai H. Caines M. Calderón de la Barca Sánchez O. Catu D. Cebra R. Cendejas M. C. Cervantes Z. Chajecki P. Chaloupka S. Chattopadhyay H. F. Chen J. H. Chen J. Y. Chen J. Cheng M. Cherney A. Chikanian K. E. Choi W. Christie P. Chung S. U. Chung R. F. Clarke M. J. M. Codrington R. Corliss J. G. Cramer H. J. Crawford D. Das S. Dash A. Davila Leyva L. C. De Silva R. R. Debbe T. G. Dedovich M. DePhillips A. A. Derevschikov R. Derradi de Souza L. Didenko P. Djawotho S. M. Dogra X. Dong J. L. Drachenberg J. E. Draper J. C. Dunlop M. R. Dutta Mazumdar L. G. Efimov E. Elhalhuli M. Elnimr J. Engelage G. Eppley B. Erazmus M. Estienne L. Eun O. Evdokimov P. Fachini R. Fatemi J. Fedorisin R. G. Fersch P. Filip E. Finch V. Fine Y. Fisyak C. A. Gagliardi D. R. Gangadharan M. S. Ganti E. J. Garcia-Solis A. Geromitsos F. Geurts V. Ghazikhanian P. Ghosh Y. N. Gorbunov A. Gordon O. Grebenyuk D. Grosnick B. Grube S. M. Guertin A. Gupta N. Gupta W. Guryn B. Haag T. J. Hallman A. Hamed L. -X. Han J. W. Harris J. P. Hays-Wehle M. Heinz S. Heppelmann A. Hirsch E. Hjort A. M. Hoffman G. W. Hoffmann D. J. Hofman R. S. Hollis H. Z. Huang T. J. Humanic L. Huo G. Igo A. Iordanova P. Jacobs W. W. Jacobs P. Jakl C. Jena F. Jin C. L. Jones P. G. Jones J. Joseph E. G. Judd S. Kabana K. Kajimoto K. Kang J. Kapitan K. Kauder D. Keane A. Kechechyan D. Kettler D. P. Kikola J. Kiryluk A. Kisiel S. R. Klein A. G. Knospe A. Kocoloski D. D. Koetke T. Kollegger J. Konzer M. Kopytine I. Koralt W. Korsch L. Kotchenda V. Kouchpil P. Kravtsov K. Krueger M. Krus L. Kumar P. Kurnadi M. A. C. Lamont J. M. Landgraf S. LaPointe J. Lauret A. Lebedev R. Lednicky C. -H. L University of Illinois at Chicago Chicago Illinois 60607 USA Panjab University Chandigarh 160014 India Variable Energy Cyclotron Centre Kolkata 700064 India Joint Institute for Nuclear Research Dubna RU-141980 Russia Kent State University Kent Ohio 44242 USA Brookhaven National Laboratory Upton New York 11973 USA Massachusetts Institute of Technology Cambridge Massachusetts 02139-4307 USA University of Birmingham Birmingham United Kingdom Yale University New Haven Connecticut 06520 USA Wayne State University Detroit Michigan 48201 USA NIKHEF and Utrecht University Amsterdam The Netherlands University of Jammu Jammu 180001 India University of Washington Seattle Washington 98195 USA Czech Technical University in Prague FNSPE Prague 115 19 Czech Republic Nuclear Physics Institute AS CR CZ-250 68 Řež/Prague Czech Republic University of California Los Angeles California 90095 USA Rice University Houston Texas 77251 USA Moscow Engineering Physics Institute Moscow Russia Argonne National Laboratory Argonne Illinois 60439 USA Old Dominion University Norfolk Virginia 23529 USA Shanghai Institute of Applied Physics Shanghai 201800 People’s Republic of China University of California Davis California 95616 USA Texas A&M University College Station Texas 77843 USA Ohio State University Columbus Ohio 43210 USA University of Science & Technology of China Hefei 230026 People’s Republic of China Institute of Particle Physics CCNU (HZNU) Wuhan 430079 People’s Republic of China Tsinghua University Beijing 100084 People’s Republic of China Creighton University Omaha Nebraska 68178 USA Pusan National University Pusan Republic of Korea University of California Berkeley California 94720 USA Institute of Physics Bhubaneswar 751005 India University of Texas Austin Texas 78712 USA Institute of High Energy Physics Protvino Russia Universidade Estadual de Campinas Sao Paulo Brazil Lawrence Berkeley National Laboratory Berkeley California 94720 USA SU

We present a measurement of π+π−π+π− photonuclear production in ultraperipheral Au−Au collisions at sNN=200 GeV from the STAR experiment. The π+π−π+π− final states are observed at low transverse momentum and are accompanied by mutual nuclear excitation of the beam particles. The strong enhancement of the production cross section at low transverse momentum is consistent with coherent photoproduction. The π+π−π+π− invariant mass spectrum of the coherent events exhibits a broad peak around 1540±40 MeV/c2 with a width of 570±60 MeV/c2, in agreement with the photoproduction data for the ρ0(1700). We do not observe a corresponding peak in the π+π− final state and measure an upper limit for the ratio of the branching fractions of the ρ0(1700) to π+π− and π+π−π+π− of 2.5% at 90% confidence level. The ratio of ρ0(1700) and ρ0(770) coherent production cross sections is measured to be 13.4±0.8stat.±4.4syst.%.

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Observation of charge-dependent azimuthal correlations and possible local strong parity violation in heavy-ion collisions

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Physical Review C 2010年第5期81卷 054908-054908页

作者： B. I. Abelev M. M. Aggarwal Z. Ahammed A. V. Alakhverdyants B. D. Anderson D. Arkhipkin G. S. Averichev J. Balewski O. Barannikova L. S. Barnby S. Baumgart D. R. Beavis R. Bellwied F. Benedosso M. J. Betancourt R. R. Betts A. Bhasin A. K. Bhati H. Bichsel J. Bielcik J. Bielcikova B. Biritz L. C. Bland I. Bnzarov B. E. Bonner J. Bouchet E. Braidot A. V. Brandin A. Bridgeman E. Bruna S. Bueltmann T. P. Burton X. Z. Cai H. Caines M. Calderón de la Barca Sánchez O. Catu D. Cebra R. Cendejas M. C. Cervantes Z. Chajecki P. Chaloupka S. Chattopadhyay H. F. Chen J. H. Chen J. Y. Chen J. Cheng M. Cherney A. Chikanian K. E. Choi W. Christie P. Chung R. F. Clarke M. J. M. Codrington R. Corliss T. M. Cormier M. R. Cosentino J. G. Cramer H. J. Crawford D. Das S. Dash M. Daugherity L. C. De Silva T. G. Dedovich M. DePhillips A. A. Derevschikov R. Derradi de Souza L. Didenko P. Djawotho V. Dzhordzhadze S. M. Dogra X. Dong J. L. Drachenberg J. E. Draper J. C. Dunlop M. R. Dutta Mazumdar L. G. Efimov E. Elhalhuli M. Elnimr J. Engelage G. Eppley B. Erazmus M. Estienne L. Eun P. Fachini R. Fatemi J. Fedorisin A. Feng P. Filip E. Finch V. Fine Y. Fisyak C. A. Gagliardi D. R. Gangadharan M. S. Ganti E. J. Garcia-Solis A. Geromitsos F. Geurts V. Ghazikhanian P. Ghosh Y. N. Gorbunov A. Gordon O. Grebenyuk D. Grosnick B. Grube S. M. Guertin K. S. F. F. Guimaraes A. Gupta N. Gupta W. Guryn B. Haag T. J. Hallman A. Hamed J. W. Harris M. Heinz S. Heppelmann A. Hirsch E. Hjort A. M. Hoffman G. W. Hoffmann D. J. Hofman R. S. Hollis H. Z. Huang T. J. Humanic L. Huo G. Igo A. Iordanova P. Jacobs W. W. Jacobs P. Jakl C. Jena F. Jin C. L. Jones P. G. Jones J. Joseph E. G. Judd S. Kabana K. Kajimoto K. Kang J. Kapitan K. Kauder D. Keane A. Kechechyan D. Kettler V. Yu. Khodyrev D. P. Kikola J. Kiryluk A. Kisiel S. R. Klein A. G. Knospe A. Kocoloski D. D. Koetke J. Konzer M. Kopytine I. Koralt W. Korsch L. Kotchenda V. Kouchpil P. Kravtsov V. I. Kravtsov K. Krueger M. Krus L. Kumar P. Kurnadi M. A. C. Lamont J. M. Landgraf S. LaPointe J. Lauret A. University of Illinois at Chicago Chicago Illinois 60607 USA Panjab University Chandigarh 160014 India Variable Energy Cyclotron Centre Kolkata 700064 India Joint Institute for Nuclear Research Dubna RU-141 980 Russia Kent State University Kent Ohio 44242 USA Brookhaven National Laboratory Upton New York 11973 USA Massachusetts Institute of Technology Cambridge Massachusetts 02139-4307 USA University of Birmingham Birmingham United Kingdom Yale University New Haven Connecticut 06520 USA Wayne State University Detroit Michigan 48201 USA NIKHEF and Utrecht University Amsterdam The Netherlands University of Jammu Jammu 180001 India University of Washington Seattle Washington 98195 USA Czech Technical University in Prague FNSPE Prague CZ-115 19 Czech Republic Nuclear Physics Institute AS CR Řež/Prague CZ-250 68 Czech Republic University of California Los Angeles California 90095 USA Rice University Houston Texas 77251 USA Moscow Engineering Physics Institute Moscow Russia Argonne National Laboratory Argonne Illinois 60439 USA Old Dominion University Norfolk Virginia 23529 USA Shanghai Institute of Applied Physics Shanghai 201800 China University of California Davis California 95616 USA Texas A&M University College Station Texas 77843 USA Ohio State University Columbus Ohio 43210 USA University of Science & Technology of China Hefei 230026 China Institute of Particle Physics CCNU (HZNU) Wuhan 430079 China Tsinghua University Beijing 100084 China Creighton University Omaha Nebraska 68178 USA Pusan National University Pusan Republic of Korea Universidade de Sao Paulo Sao Paulo Brazil University of California Berkeley California 94720 USA Institute of Physics Bhubaneswar 751005 India University of Texas Austin Texas 78712 USA Institute of High Energy Physics Protvino Russia Universidade Estadual de Campinas Sao Paulo Brazil Lawrence Berkeley National Laboratory Berkeley California 94720 USA SUBATECH Nantes France Pennsylvania S

Parity (P)-odd domains, corresponding to nontrivial topological solutions of the QCD vacuum, might be created during relativistic heavy-ion collisions. These domains are predicted to lead to charge separation of quarks along the orbital momentum of the system created in noncentral collisions. To study this effect, we investigate a three-particle mixed-harmonics azimuthal correlator which is a P-even observable, but directly sensitive to the charge-separation effect. We report measurements of this observable using the STAR detector in Au+Au and Cu+Cu collisions at sNN=200 and 62 GeV. The results are presented as a function of collision centrality, particle separation in rapidity, and particle transverse momentum. A signal consistent with several of the theoretical expectations is detected in all four data sets. We compare our results to the predictions of existing event generators and discuss in detail possible contributions from other effects that are not related to P violation.

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Remote sensing drought monitoring under dense vegetation cover condition based on Perpendicular Drought Index

Remote sensing drought monitoring under dense vegetation cov...

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International Conference on Geoinformatics

作者： Zhe Li Debao Tan Yuanlai Cui Sui Zhang State Key Laboratory of Water Resources and Hydropower Engineering Science Wuhan University of China Wuhan Hubei China Spatial Information Technology Application Institute Changjiang River Scientific Research Institute Wuhan Hubei China

ISBN: (纸本)9781424445622

Regional drought brought by global climate changes is menacing directly human's food supply and survival environment, and it becomes a hotspot of many scientists and government administrations. Remote sensing has many advantages such as large land cover, high spatial resolution, short time interval, and convenient data acquisition, which makes remote sensing drought monitoring become an important research field. In the NIR(Near Infrared)-Red reflectance spectral feature space, if it is supposed that the spectral characteristic of bare soil conforms to the linear distribution, PDI(Perpendicular Drought Index) is established (Zhan, 2005; Abuduwasit, 2004). In order to verify the feasibility of PDI under dense vegetation cover condition, Hubei Zhanghe Irrigation System is selected as research area, PDI is calculated with ETM+ data, and 2-5 cm soil moisture in-situ observation is used for the purpose of comparing with PDI. Result shows that 2-5 cm in-situ observation and PDI calculation displays basically the same curve trend, their coefficient is 0.76, and it is consistent with insitu measured drought indicator. To sum up, PDI can effectively reflect local land cover and water-heat combination, which achieves many advantages such as simple, practical, easy-to-use, versatility and universality. And it is successful to monitor regional drought under dense vegetation cover conditions.

关键词： Remote monitoring Condition monitoring Vegetation Government Spatial resolution data acquisition Reflectivity Irrigation Soil moisture Displays

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Identified particle production, azimuthal anisotropy, and interferometry measurements in Au+Au collisions at sNN=9.2 GeV

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Physical Review C 2010年第2期81卷 024911-024911页

作者： B. I. Abelev M. M. Aggarwal Z. Ahammed A. V. Alakhverdyants B. D. Anderson D. Arkhipkin G. S. Averichev J. Balewski O. Barannikova L. S. Barnby S. Baumgart D. R. Beavis R. Bellwied F. Benedosso M. J. Betancourt R. R. Betts A. Bhasin A. K. Bhati H. Bichsel J. Bielcik J. Bielcikova B. Biritz L. C. Bland I. Bnzarov B. E. Bonner J. Bouchet E. Braidot A. V. Brandin A. Bridgeman E. Bruna S. Bueltmann T. P. Burton X. Z. Cai H. Caines M. Calderón de la Barca Sánchez O. Catu D. Cebra R. Cendejas M. C. Cervantes Z. Chajecki P. Chaloupka S. Chattopadhyay H. F. Chen J. H. Chen J. Y. Chen J. Cheng M. Cherney A. Chikanian K. E. Choi W. Christie P. Chung R. F. Clarke M. J. M. Codrington R. Corliss J. G. Cramer H. J. Crawford D. Das S. Dash L. C. De Silva R. R. Debbe T. G. Dedovich M. DePhillips A. A. Derevschikov R. Derradi de Souza L. Didenko P. Djawotho S. M. Dogra X. Dong J. L. Drachenberg J. E. Draper J. C. Dunlop M. R. Dutta Mazumdar L. G. Efimov E. Elhalhuli M. Elnimr J. Engelage G. Eppley B. Erazmus M. Estienne L. Eun P. Fachini R. Fatemi J. Fedorisin R. G. Fersch P. Filip E. Finch V. Fine Y. Fisyak C. A. Gagliardi D. R. Gangadharan M. S. Ganti E. J. Garcia-Solis A. Geromitsos F. Geurts V. Ghazikhanian P. Ghosh Y. N. Gorbunov A. Gordon O. Grebenyuk D. Grosnick B. Grube S. M. Guertin A. Gupta N. Gupta W. Guryn B. Haag T. J. Hallman A. Hamed L. -X. Han J. W. Harris J. P. Hays-Wehle M. Heinz S. Heppelmann A. Hirsch E. Hjort A. M. Hoffman G. W. Hoffmann D. J. Hofman R. S. Hollis H. Z. Huang T. J. Humanic L. Huo G. Igo A. Iordanova P. Jacobs W. W. Jacobs P. Jakl C. Jena F. Jin C. L. Jones P. G. Jones J. Joseph E. G. Judd S. Kabana K. Kajimoto K. Kang J. Kapitan K. Kauder D. Keane A. Kechechyan D. Kettler V. Yu. Khodyrev D. P. Kikola J. Kiryluk A. Kisiel S. R. Klein A. G. Knospe A. Kocoloski D. D. Koetke T. Kollegger J. Konzer M. Kopytine I. Koralt W. Korsch L. Kotchenda V. Kouchpil P. Kravtsov V. I. Kravtsov K. Krueger M. Krus L. Kumar P. Kurnadi M. A. C. Lamont J. M. Landgraf S. LaPointe J. Lauret A. Lebedev R. Lednicky C. - University of Illinois at Chicago Chicago Illinois 60607 USA Panjab University Chandigarh 160014 India Variable Energy Cyclotron Centre Kolkata 700064 India Joint Institute for Nuclear Research Dubna RU-141980 Russia Kent State University Kent Ohio 44242 USA Brookhaven National Laboratory Upton New York 11973 USA Massachusetts Institute of Technology Cambridge Massachusetts 02139-4307 USA University of Birmingham Birmingham United Kingdom Yale University New Haven Connecticut 06520 USA Wayne State University Detroit Michigan 48201 USA NIKHEF and Utrecht University Amsterdam The Netherlands University of Jammu Jammu 180001 India University of Washington Seattle Washington 98195 USA Czech Technical University in Prague FNSPE Prague CZ-11519 Czech Republic Nuclear Physics Institute AS CR CZ-25068 Řež/Prague Czech Republic University of California Los Angeles California 90095 USA Rice University Houston Texas 77251 USA Moscow Engineering Physics Institute Moscow Russia Argonne National Laboratory Argonne Illinois 60439 USA Old Dominion University Norfolk Virginia 23529 USA Shanghai Institute of Applied Physics Shanghai 201800 People’s Republic of China University of California Davis California 95616 USA Texas A&M University College Station Texas 77843 USA Ohio State University Columbus Ohio 43210 USA University of Science & Technology of China Hefei 230026 People’s Republic of China Institute of Particle Physics CCNU (HZNU) Wuhan 430079 People’s Republic of China Tsinghua University Beijing 100084 People’s Republic of China Creighton University Omaha Nebraska 68178 USA Pusan National University Pusan Republic of Korea University of California Berkeley California 94720 USA Institute of Physics Bhubaneswar 751005 India Institute of High Energy Physics Protvino Russia Universidade Estadual de Campinas Sao Paulo Brazil Lawrence Berkeley National Laboratory Berkeley California 94720 USA SUBATECH Nantes France Pennsylvania State Uni

We present the first measurements of identified hadron production, azimuthal anisotropy, and pion interferometry from Au+Au collisions below the nominal injection energy at the BNL Relativistic Heavy-Ion Collider (RHIC) facility. The data were collected using the large acceptance solenoidal tracker at RHIC (STAR) detector at sNN=9.2 GeV from a test run of the collider in the year 2008. Midrapidity results on multiplicity density dN/dy in rapidity y, average transverse momentum 〈pT〉, particle ratios, elliptic flow, and Hanbury-Brown–Twiss (HBT) radii are consistent with the corresponding results at similar sNN from fixed-target experiments. Directed flow measurements are presented for both midrapidity and forward-rapidity regions. Furthermore the collision centrality dependence of identified particle dN/dy, 〈pT〉, and particle ratios are discussed. These results also demonstrate that the capabilities of the STAR detector, although optimized for sNN=200 GeV, are suitable for the proposed QCD critical-point search and exploration of the QCD phase diagram at RHIC.

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