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Inconspicuous anchoring effects generated by false information

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Progress in Natural science:Materials International 2008年第11期18卷 1375-1382页

作者： Chen Qu~(a,b) Jun Wang~a Yuejia Luo~(a,c,*) a state key laboratory of Cognitive Neuroscience and Learning,beijing Normal university,beijing 100875,china b Center for studies of Psychological Application,South china Normal university Guangzhou,510631,china c key laboratory of Mental Health,Institute of Psychology,chinese academy of sciences,beijing 100101,china state key laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing 100875 China Center for studies of Psychological Application South China Normal University Guangzhou 510631 China key laboratory of Mental Health Institute of Psychology Chinese Academy of Sciences Beijing 100101 China

The impact of false information on numerical judgments was examined on young normal subjects by an event-related potential(ERP) *** imitate the judgments in real world,we ensured the subjects acknowledged of the target *** behavioral results found that both uncertain information and false information assimilated the final estimates:higher after higher anchors and lower after lower anchors;and false information caused a weaker anchoring bias than uncertain *** results provided further electro- physiological evidence for the mechanism of *** the early phrase,it was an accessibility-dominated process in which two kinds of anchors elicited an N300 component related to the accessibility of anchors *** knowledge relevant to targets joined the process in the late phrase,which caused a larger amplitude of late positive component(LPC)for implausible lower anchors than that for plausible higher *** analysis showed that medial frontal gyrus,whose activity was suggested to signal the need of adjust- ment,was more reliable to explain the LPC elicited by implausible lower ***,we suggest that accessibility is facilitated when the external anchor is consistent with the world knowledge,and adjustment is initiated when the external anchor is inconsistent.

关键词： False anchors Anchoring effects Accessibility Adjustment ERP

Competent predicate abstraction in model checking

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science china(information sciences) 2011年第2期54卷 258-267页

作者： LI Li1,2,3, SONG XiaoYu4, GU Ming2,3 & LUO XiangYu2,3 1Department of Computer science & Technology, Tsinghua university, beijing 100084, china 2key laboratory for information System security, Ministry of Education of china, beijing 100084, china 3School of Software, Tsinghua university, beijing 100084, china 4Department of ECE, Portland state university, Portland, Oregon 97207, USA 1. Department of Computer science & Technology Tsinghua University Beijing 100084 China2. Key Laboratory for Information System Security Ministry of Education of China Beijing 100084 China3. School of Software Tsinghua University Beijing 100084 China4. Department of ECE Portland State University Portland Oregon 97207 USA

The paper presents a new approach to computing the abstract state and a maximum weight heuristic method for finding the shortest counter-example in verification of imperative programs. The strategy is incorporated in a verification system based on the counterexample-guided abstraction refinement method. The proposed method slashes both the size of the abstract state space and the number of invokes of a decision procedure. A number of benchmarks are employed to evaluate the effectiveness of the approach.

关键词： program model checking predicate abstraction weight heuristic

Differential Hydrological Grey Model (DHGM) with self-memory function and its application to flood forecasting

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science china(Technological sciences) 2009年第4期52卷 1039-1049页

作者： CHEN XiangDong1, XIA Jun1,2 & XU Qian3 1 key laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic sciences and Natural Resources Research, chinese academy of sciences, beijing 100101, china 2 state key laboratory of Water Resources and Hydropower Engineering science, Wuhan university, Wuhan 430072, china 3 School of Hydrology and Water Resources, Hohai university, Nanjing 210098, china 1. key laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China 2. state key laboratory of Water Resources and Hydropower Engineering science Wuhan University Wuhan 430072 China 3. School of Hydrology and Water Resources Hohai University Nanjing 210098 China

This paper addresses a problem of flood forecasting with the self-memory function. Considering flood forecasting’s uncertainty and updating demand, a hybrid hydrological model, namely Differential Hy- drological Grey Model with self-memory function (DHGM-SM), is developed. The model has two fold features. One is to establish a self-memorization equation linked with DHGM, that could extract useful information from past data series and realize updating of hydrological dynamic process. The other is that this model has higher efficiency relative to original hydrological model without self-memory func- tion. This approach was applied to river flow forecasting of two representative basins in Tunxi of South china and Daqinggou of North china. It is shown that this hybrid method has satisfactory forecasting accuracy by examination of both calibration and validation.

关键词： differential grey model the self-memorization principle real-time forecasting faded-memory recursive least square method

Estimation of forest volumes by integrating Landsat TM imagery and forest inventory data

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science china(Technological sciences) 2006年第z1期49卷 54-62页

作者： GU Huiyan, DAI Limin, WU Gang, XU Dong, WANG Shunzhong &WANG Hui Institute of Applied Ecology, chinese academy of sciences, Shenyang 110016, china School of Forestry, Northeast Forestry university, Harbin 150040, china state key Lab of Systems Ecology, Research Center for Eco-Environmental sciences, chinese academy of sciences, beijing 100085, china graduate university of chinese academy of sciences, beijing 100039, china 1. Institute of Applied Ecology Chinese Academy of Sciences Shenyang 110016 China 2. School of Forestry Northeast Forestry University Harbin 150040 China 3. state key Lab of Systems Ecology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China 4. graduate university of chinese academy of sciences Beijing 100039 China

Accurate information about forest volumes is essential for forest management planning. The survey interval of the Forest Resource Inventory of china (FRIC) is too long to meet the demand for timely decision-making required for forest protection, management, and utilization. Analysis of satellite imagery provides good potential for more frequent reporting of forest parameters. In this study, we describe an application of the k-nearest neighbors (kNN) method to Landsat TM imagery for improving estimation of forest volumes. Several spectral features were tested and compared in forest volume estimations, including normalized difference vegetation index, environmental vegetation index, and the combination of the spectral features. The combined index resulted in the most accurate volume estimations. The kNN estimator and the combined index were then used in forest volume estimation. The estimation error (RMSE) of the total volume was44.2%, much lower than those for Larix forest (the RMSE was 51.7%) and those for the Korean pine and broadleaved forests (the estimation errors were over 71.7% and 88.19%,respectively). This preliminary study demonstrates the potential of forest volume estimations with remote sensing data to provide useful information for forest management if only limited ground information is available.

关键词： forest inventory, landsat TM, k-nearest neighbors, spectral extraction.

PARALLEL CHAOTIC MULTISPLITTING ITERATIVE METHODS FOR THE LARGE SPARSE LINEAR COMPLEMENTARITY PROBLEM

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Journal of Computational Mathematics 2001年第3期19卷 281-292页

作者： Zhong-zhi Bai (state key laboratory of Scientific/Engineering Competing Institute of Computational Mathematics and Scientific/Engineering Computing, academy of Mathematics and Systems sciences, chinese academy of sciences, beijing 100080, china) 中科院计算数学与工程计算数学所科学与工程计算国家重点实验室北京 100080

Focuses on a study which presented a parallel chaotic multisplitting method for solving the large sparse linear complementarity problem. Preliminaries of the study; Equations of the parallel chaotic multisplitting met... 详细信息

关键词： linear complementarity problem matrix multisplitting chaotic iteration relaxed method convergence property

Multiparty quantum secret sharing of classical and quantum messages

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Progress in Natural science:Materials International 2007年第1期17卷 26-31页

作者： CHEN Pan, DENG Fuguo and LONG Guilu ( key laboratory for Quantum information and Measurements, and Department of Physics, Tsinghua university, beijing 100084, china key laboratory of Beam Technology and Material Modification, MOE, Institute of Low Energy Nuclear Physics, and Department of Material science and Engineering, beijing Normal university, beijing 100875, china beijing Radiation Center, beijing 100875, china key laboratory for Atomic and Molecular Nano-sciences, Tsinghua university, beijing 100084, china) [a]key laboratory for Quantum information and Measurements and Department of Physics Tsinghua University Beijing China [b]key laboratory of Beam Technology and Material Modification MOE Institute of Low Energy Nuclear Physics and Department of Material Science and Engineering Beijing Normal University Beijing China [c]beijing Radiation Center Beijing China [d]key laboratory for Atomic and Molecular Nano-sciences Tsinghua University Beijing China

A scheme for multiparty quantum secret sharing of classical and quantum messages is proposed by using entanglement swapping. This scheme can distribute not only the classical information but also the quantum informati... 详细信息

关键词： quantum secret sharing classical message quantum message EPR pair.

Study on thermal infrared remote sensing of Yarlung Zangbo River and Bangong Co-Nujiang River suture belt in Qinghai-Tibet Plateau

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science china(Technological sciences) 2006年第z2期49卷 108-113页

作者： BI Siwen, YAN Hao & WANG Changyao state key laboratory of Remote Sensing sciences, Institute of Remote Sensing Application, chinese academy of sciences, beijing 100101, china key laboratory of Three-Dimensional information Acquisition and Application, Ministry of Education, Capital Normal university, beijing 100037, china chinese Acad Sci Inst Remote Sensing Applicat State Key Lab Remote Sensing Sci Beijing 100101 Peoples R China Capital Normal Univ Minist Educ Key Lab Dimens Informat Acquisit & Applicat Beijing 100037 Peoples R China

The area change of heat abnormity is not in accordance with conclusions of former thermal infrared remote sensing studies of the Qinghai-Tibet Plateau, which were that the temperature of Yarlung Zangbo River suture belt of the southern Plateau is high and the northern temperature is low. The study result in this paper shows that the highest temperature is found in the Bangong Co-Nujiang River suture belt, the Yarlung Zangbo River suture belt temperature is the second highest, and the northern Tibet temperature is the lowest. The study demonstration area was the suture belt areas of the Yarlung Zangbo River and the Bangong Co-Nujiang River in the Qinghai-Tibet Plateau, where the land temperature of the Qinghai-Tibet Plateau and the bore temperature of field land surface were measured and the emissivity of land surface was calculated. In addition, the authors explore the mechanism of the relationship between thermal infrared remote sensing and constructing thermodynamics and reach four new conclusions about the thermodynamics of the Tibet Plateau.

关键词： Qinghai-Tibet Plateau, Yarlung Zangbo River-Bangong Co-Nujiang River, suture belt, thermal infrared remote sensing, heat abnormity.

Digital forestry research in china

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science china(Technological sciences) 2006年第z1期49卷 1-8页

作者： TANG Shouzheng, TANG Una, Guofan Shao & DAI Limin Research Institute of Resource information Techniques, chinese academy of Forestry, beijing 100091, china Institute of Applied Ecology, chinese academy of sciences, Shenyang 110016, china Departmet of Forestry and Natural Resources, Purdue university, West Lafayette, IN 47907, USA graduate university, chinese academy of sciences, beijing 100101, china Research Institute of Resource information Techniques Chinese Academy of Forestry Beijing 100091 China Institute of Applied Ecology Chinese Academy of Sciences Shenyang 110016 China Department of Forestry Natural Resources Purdue University West Lafayette IN 47907 USA graduate university Chinese Academy of Sciences Beijing 100101 China

Digital Forestry as a concept was developed after the Digital Earth program. The chinese scientists were not only among the pioneers who first proposed the concept of Digital Forestry, but also contributed a lot to the development of Digital Forestry. Digital Forestry is a digital framework to maintain forest planting, management, using, and protect. The synergetic use of computationally-intensive quantitative methods together with information technologies is the most important foundation for the development of Digital Forestry. Under this situation, the experience of Digital Forestry development in china is relatively rich. A number of academicians, scholars, and professional administrators were involved in discussing the Digital Forestry Construction Scheme. The Project of Digital Forestry Practicability approved by the state Forestry Administration is a major instance in developing Digital Forestry standard and key techniques. By introducing a case study of Digital Forestry, this paper reviews the concept of Digital Forestry, the way turning traditional forestry into Digital Forestry, and the future development of Digital Forestry.

关键词： Digital Forest, Digital Earth, Digital Forestry standard, Digital Forestry techniques.

Post-earthquake assessment of building damage degree using LiDAR data and imagery

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science china(Technological sciences) 2008年第S2期51卷 133-143页

作者： LI ManChun1,CHENG Liang1,2,GONG JianYa2,LIU YongXue1,CHEN ZhenJie1,LI FeiXue1,CHEN Gang1,CHEN Dong1 & SONG XiaoGang3 1 Department of Geographic information science,Nanjing university,Nanjing 210093,china 2 state key laboratory of information Engineering in Surveying,Mapping and Remote Sensing,Wuhan university,Wuhan 430079,china 3.state key laboratory of Earthquake Dynamics,Institute of Geology,china Earthquake Administration,beijing 100029,china Department of Geographic information science Nanjing University Nanjing 210093 China state key laboratory of information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan 430079 China state key laboratory of Earthquake Dynamics Institute of Geology China Earthquake Administration Beijing 100029 China

Various methods have been developed to detect and assess building's damages due to earthquakes using remotely sensed *** the launch of the high resolution sensors such as IKONOS and QuickBird,it becomes realistic to identify damages on the scale of individual *** the low accuracy of the results has often led to the use of visual interpretation ***,it is very difficult to estimate the degree of building damage(*** damage,moderate damage,or severe damage) in detail using the existing ***,a novel approach integrating LiDAR data and high resolution optical imagery is proposed for evaluating building damage degree *** approach consists of two steps:3D building model reconstruction and rooftop patch-oriented 3D change ***,a method is proposed for automatically reconstructing 3D building models with precise geometric position and fine details,using pre-earthquake LiDAR data and high resolution ***,focusing on each rooftop patch of the 3D building models,the pre- and post-earthquake LiDAR points belonging to the patch are collected and compared to detect whether it was destroyed or not,and then the degree of building damage can be identified based on the ratio of the destroyed rooftop patches to all rooftop *** novelty of the proposed approach is to detect damages on the scale of building's rooftop patch and realize quantitative estimation of building damage degree.

关键词： post-earthquake assessment building damage degree rooftop patch LiDAR imagery