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International Symposium of Remote Sensing and Space Technology for Multidisciplinary Research and Applications

作者： Dong, XQ Zhao, SH Luo, WJ Feng, XZ Yang, XP Liu, HP Xu, H Nanjing Univ Dept Urban & Resources Sci Nanjing 210093 Jiangsu Peoples R China Ctr Agrometeorol & Remote Sensing Applicat Yunnan Kunming 650034 Peoples R China Peking Univ Inst Remote Sensing & GIS Beijing 100871 Peoples R China Yunnan Acad Forestry Kunming 650204 Peoples R China

ISBN: (纸本)0819462551

Remote sensing detection model of damaged forest by tomicus piniperda was studied. It analyzed different detection models using multiple types of remote sensing data, such as TM, CBERS-1, AVHRR and MODIS data. The spectral features of the above remote sensing data (March, 2001) were given. And two detection models were put forward according to the spectral changing characteristics. One was named Difference Rate (DR) model with NIR and VIR data, which applied for TM, CBERS-1, AVHRR and MODIS. If DR was bigger, the forest grew healthier. Based on the typical sample, the different guidelines distinguished healthy and damaged forests were obtained. The other model was named Disaster Index (DI) model with thermal and NIR data, only suitable for MODIS. The guidelines of healthy and damaged forest were determined too. Greater DI was, the forest was stricken more badly. In conclusion, it will help monitor and assess the vermin occurrence and impact by remote sensing detection model.

关键词： tomicus piniperda detection model difference rate disaster index damaged forest

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Application of Support Vector Machine in the detection of Fraudulent Financial Statements

Application of Support Vector Machine in the Detection of Fr...

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4th International Conference on Computer Science and Education

作者： Deng, Qingshan Jiangxi Univ Finance & Econ Sch Software Nanchang Peoples R China

ISBN: (纸本)9781424435197

Auditing practices nowadays have to cope with an increasing number of fraudulent financial statements. Data mining techniques can facilitate auditors in accomplishing the task of detection of fraudulent financial statements (FFS). Considering the character of FFS, this paper designs a FFS detection model based on support vector machine. To perform the experiment, we choose 44 FFS according to the auditing reports and 44 non-fraudulent financial statements(non-FFS) according to some specific standards from listed companies in China during 1999-2002 as training data set. Similarly, 73 FFS and 99 non-FFS during 2003-2006 are chosen as testing data set. We train the model using training data set and apply the trained model to the testing data set, good experimental results are obtained.

关键词： fraudulent financial statement support vector machine detection model

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One Formalized Method of Virus detection

One Formalized Method of Virus Detection

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1st International Symposium on Computer Network and Multimedia Technology

作者： Chen, Dan-Wei Liu, Jian-Ping Sun, Guo-Zi Han, Jun Nanjing Univ Posts & Telecommun Inst Comp Technol Coll Comp Nanjing Peoples R China

ISBN: (纸本)9781424452729

As the virus has been spread without restriction, there needs an effective method to detect the virus. After analyzing the current detection methods of the virus, one method, which is on the basis of jump state, is proposed to analyze the malice behavior. From four aspects, such as the element definition, the simple regulation, the formalized description and the mapping-relation description, the formalized analysis method is provided. Based on the formalized method of status monitoring, the detection model of anti-virus is studied. Finally, the paper gives an example.

关键词： computer virus behavior monitor formalized analysis detection model

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Born's rule from classical random fields

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PHYSICS LETTERS A 2008年第44期372卷 6588-6592页

作者： Khrennikov, Andrei Univ Vaxjo Int Ctr Math Modeling Phys & Cognit Sci S-35195 Vaxjo Sweden

This Letter is an attempt to go beyond QM. In our approach density operators of QM can be represented as covariance operators of classical random fields. Born's rule can be obtained from measurement theory for classical random field under the assumption that the probability of detection of field is proportional to the power of this field. (C) 2008 Elsevier B.V. All rights reserved.

关键词： Random field Semiclassical model Quantum probabilities detection model Signal-field power Bayes rule Classical random field Quantum averages

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Evaluation methodology and theoretical model for antiviral behavioural detection strategies

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JOURNAL IN COMPUTER VIROLOGY AND HACKING TECHNIQUES 2007年第1期3卷 23-37页

作者： Filiol, Eric Jacob, Gregoire Le Liard, Mickael Ecole Super & Applicat Transmiss Lab Virol & Cryptol BP 18 F-35998 Rennes France EQUANT F-35512 Cesson Sevigne France

Behavioural analysis for detection of malware has recently emerged as a new promising set of antiviral techniques: function-based detection is now considered along with sequence-based detection. Most of the antivirus publishers now claim to use behavioral analysis as a marketing argument. But the real impact of these "new" techniques seems to be mitigated since no real progress in the general antiviral fight has been noticed nowadays. This paper presents an evaluation methodology of the real capabilities of antivirus software with respect to the behavioral analysis. It is shown that contrary to the claims of some publishers, behavioural analysis is still very marginally used and implemented. These techniques are quite always either validated by or dependant on classical form-based detection methods (detection pattern as an example). In this context, we propose a generalised, theoretical detection model which considers at the same time both form-based and function-based detection and give some essential properties this model should exibhit to achieve a real behavioural-based detection.

关键词： Malware Antivirus Black-box analysis Malware detection Polymorphism Metamorphism detection model

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Extended Monte Carlo algorithm to collaborate distributed sensor's for mobile robot localization

Extended Monte Carlo algorithm to collaborate distributed se...

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IEEE International Conference on Robotics and Biomimetics (ROBIO 2007)

作者： Liang, Zhiwei Ma, Xudong Dai, Xianzhong Southeast Univ Sch Automat Nanjing Jiangsu Prov Peoples R China

ISBN: (纸本)9781424417612

This paper presents a probabilistic algorithm to collaborate distributed sensors for mobile robot localization. During robot localization given a known environment model, Monte Carlo method is extended to integrate the detection information coming from environmental sensors to localize robot as long as the sensors do detect the robot. Meanwhile, we present an implementation that uses color environmental cameras for robot detection. All the parameters of each environmental camera are unknown in advance and can be calibrated by robot. Once cameras' calibrated, their detection models can be trained using sensor data according to their parameters. As a result, the robot's belief can reduce its uncertainty in response to the detection effectively. A further experiment, obtained with the real robot in an indoor office environment, illustrates that drastic improvement in localization speed and accuracy when compared to conventional robot localization.

关键词： Monte Carlo localization distributed sensors environmental camera detection model

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A unified model for techniques on video-shot transition detection

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IEEE TRANSACTIONS ON MULTIMEDIA 2005年第2期7卷 293-307页

作者： Bescós, J Cisneros, G Martínez, JM Menéndez, JM Cabrera, J Univ Autonoma Madrid Image Proc Grp E-28049 Madrid Spain Univ Politecn Madrid Image Proc Grp E-28040 Madrid Spain

A first step required to allow video indexing and retrieval of visual data is to perform a temporal segmentation, that is, to find the location of camera-shot transitions, which can be either abrupt (i.e., cuts) or gradual (e.g., fades, dissolves, wipes). After a critical review of most approaches seeking to solve this problem, we propose a unified detection model (both for abrupt and all types of gradual transitions), as well as an implementation whose results improve upon those of all the inspected reports. The innovation of the approach presented here is centered on mapping the space of inter-frame distances onto a new space of decision better suited to achieving a sequence-independent thresholding. This mapping aims to consider frame ordering information within the thresholding process;it is based on the parametric modeling of the patterns that transitions generate on the distances' output. As opposed to most reviewed works, our results are detailed over a large and representative sample of more than 1500 cuts and 250 gradual transitions, which make up a significant part (200 min) of the MPEG-7 testing material;this ensures a high degree of confidence in the validity of our approach.

关键词： cut detection detection model gradual transition detection shot transition detection video analysis

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Simulation of a radiotracer experiment by flow and detection-chain modelling: a first step towards better interpretation

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APPLIED RADIATION AND ISOTOPES 2004年第6期60卷 855-861页

作者： Berne, P Thereska, J CEA Grenoble DTEN SAT F-38054 Grenoble 9 France IAEA A-1400 Vienna Austria

The injection of a gamma-emitting tracer in backward -facing step flow was modelled. Flow and concentration fields were calculated by, CFD and detector responses by a Monte-Carlo code. The objective was to show the influence of the radiotracer energy on the detector response, so as to interpret better data from radiotracer experiments. The radiotracer selection is important in obtaining reliable results, each specific case requiring careful analysis of the experimental data. However, more work is still required to achieve the prescribed goal aimed at. (C) 2004 Elsevier Ltd. All rights reserved.

关键词： radioactive tracers flow model detection model

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Generalized hard x-ray detection model for microchannel plate detectors

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REVIEW OF SCIENTIFIC INSTRUMENTS 1997年第10期68卷 3676-3684页

作者： Shikhaliev, PM A. F. Ioffe Physical-Technical Institute

A generalized hard x-ray detection model for microchannel plate (MCP) detectors has been developed. This model includes all geometrical and compositional parameters of an MCP and the energy of a detected x-ray. An analytical investigation and numerical calculation of the detection efficiency were carried out;data obtained were compared with experimental results, A square and hexagonal channel MCP were considered in addition to a traditional circular channel MCP. Moreover, it is shown that the first ones have advantages as x-ray detectors. (C) 1997 American Institute of Physics.

关键词： .hard ray experimental results generalized ray energy microchannel Ray detectors MCP detectors detection model plate detectors square and hexagonal channel MCP circular channel MCPs

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CONSIDERATIONS ON modelS OF MOVEMENT detection

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KYBERNETIK 1973年第4期13卷 223-227页

作者： POGGIO, T REICHARDT, W MAX PLANCK INST SPEMANN STR 38 D-7400 TUBINGEN WEST GERMANY

A general characterization of multi-input movement detection models is given in terms of the Volterra series formalism. When nonlinearities of order higher than the second are negligible, an n-input system can be decomposed into a set of 2-input systems, summing linearly. For a (symmetrical) 2-input system which has significant nonlinearities only up to the second order, the correlation model is its most general expression, if the infinite time average of the output is taken. Specific observations from optomotor experiments (e.g. phase invariance and contrast frequency dependence) can be interpreted in a general way in terms of properties of the Volterra representation.

关键词： General Expression Frequency Dependence Movement detection Series Formalism detection model

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