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1st International Conference on Remote Sensing and Geoinformation of the Environment (RSCy)

作者： Garcia, Miguel A. Alloza, Jose A. Bautista, Susana Rodriguez, Francisco Univ Alicante Dept Appl Math E-03080 Alicante Spain

ISBN: (纸本)9780819496386

Burnt areas as a result of wildfires can be readily detected from high resolution aerial photographs or satellite imagery of the zone that includes the wildfire. Moderate resolution remote sensing data, as provided by MODIS, can also be used to detect active or past wildfires, most usually from daily records of a suitable combination of reflectance bands. The objective of the present work was to test some simple algorithms and variations for automatic blind detection of burnt areas from MODIS biweekly vegetation indices time series data. MODIS derived NDVI 250m time series data for the Valencia region, Southeast Spain, were subjected to a two-steps process for the detection of candidate burnt areas, and the results compared with the record of wildfires with affected area greater than 100 hectares. For each pixel and date in the data series, a model was fitted to both the previous and posterior time series data. Discrepancies or jumps between the pre-and post-models exceeding a certain threshold were used as seeds to define cluster of pixels, the candidate burnt areas, with similarities between pixels either from their extreme discrepancy dates or from their parameters in the fitted models. Results using a simple combination of a constant fitted model and pixel similarity from jump dates were in good agreement with the perimeters of the actual burnt areas. A computationally efficient implementation of the method was developed using a digital filter type approach.

关键词： Burnt areas MODIS NDVI cluster algorithm

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A Smartphone-based System for Personal Data Management and Personality Analysis 15

A Smartphone-based System for Personal Data Management and P...

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IEEE International Conference on Computer and Information

作者： Guo, Ao Ma, Jianhua Hosei Univ Grad Sch Comp & Informat Sci Tokyo 1840003 Japan

ISBN: (纸本)9781509001545

The data from or about an individual, called personal data, is continuously increasing due to popularity of smart phones, wearables and other ubiquitous devices. Such personal data can be used to model a user and even digitally clone a person, e.g., Cyber-I (cyber individual) that aims at creating a unique and comprehensive description for every individual to support various personalized services and applications. Due to heterogeneity and sensitivity of personal data, one important issue is how to effectively collect and manage person data with sufficient security protection. Another important issue is how to figure out an individual's character, i.e., personality from personal data. Therefore, this research is focused on personal data management and personality analysis in a smartphone based client-server system. The smartphone functions as not only a source of personal data but also a gateway to manage other wearables and communicate with a server that keeps personal data in a larger amount and a longer period. A multi-security mechanism is implemented to ensure data security in collection, transmission and storage. Personality analysis is made from data normalization, feature extraction and clustering, to personality computation based on sociological personality theories.

关键词： personal data personality system security cluster algorithm smartphone mongo

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Methodology for Selecting Operating Points and Contingencies for Frequency Stability Studies

Methodology for Selecting Operating Points and Contingencies...

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2017 IEEE Power & Energy Society General Meeting

作者： Rahmann, C. Ortiz-Villalba, D. Alvarez, R. Salles, M.

ISBN: (纸本)9781538622124

Transmission System Operators must regularly perform different stability studies in order to detect hazard situations in the system and to define proper corrective measures. Due to the high computational burden required by dynamic simulations, the number of study cases must be strongly limited to only a few cases. Ideally, only worst cases from a system stability point of view should be identified and used. However, the increased complexity of power system dynamics under high levels of variable generation technologies makes it more difficult to define worst-case scenarios for stability assessments. This paper proposes a novel methodology for selecting critical operating conditions (including operating point and contingency) for frequency stability studies. The methodology considers key factors influencing the system frequency stability, such as the power imbalance, the frequency nadir, the system inertia, the ROCOF and the short circuit level at the point of the contingency. The proposed methodology is validated considering the northern power system of Chile. The dynamic simulations show that the proposed methodology is able to identify critical operating conditions for frequency stability assessments. Furthermore, obtained results show that for the system under study, some of the selected critical operating points have a worse dynamic performance than the one that would be normally chosen with the traditional worst-case approach.

关键词： cluster algorithm dynamic simulations frequency stability inertial response stability assessments

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Research on virtual logistic enterprises partners selection method based on CLIQUE

Research on virtual logistic enterprises partners selection ...

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10th International Conference on Computer Supported Cooperative Work in Design

作者： Xu, Song Shen, Lixin Zhai, Jun Yang, Zan Li, Yongxian Dalian Maritime Univ Econ & Management Coll Liaoning 116026 Peoples R China Liaoning Normal Univ Liaoning 116026 Peoples R China

ISBN: (纸本)142440164X

The proper selection and determination of partners is the key to the establishment of virtual logistic enterprises. With the rapid development of information technology, and the globalization and digitalization of the economy, the virtual logistic enterprises partners selection model based on CLIQUE is proposed to realize fast data mining in the bulkiness and high dimension information database of member enterprises provided by VLE information platform in order to select the candidate partners in the whole globe, or knowledge discover from indexes evaluation of partners. A simulating case will demonstrate the effectiveness of the selection method of the grid-based clustering algorithm.

关键词： virtual logistics enterprise (VLE) partner selection. grid cluster algorithm

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DOCUMENT clusterING USING AN INVERTED FILE APPROACH

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JOURNAL OF INFORMATION SCIENCE 1980年第5期2卷 223-231页

作者： WILLETT, P Postgraduate School of Librarianship and Information Science University of Sheffield Western Bank Sheffield S 2TN U.K.

An automatic document clustering procedure is described which does not require the use of an inter-document similar ity matrix and which is independent of the order in which the documents are processed. The procedure makes use of an initial set of clusters which is derived from certain of the terms in the indexing vocabulary used to characterise the documents in the file. The retrieval effectiveness obtained using the clustered file is compared with that obtained from serial searching and from use of the single-linkage clustering method.

关键词： Automatic classification cluster cluster algorithm Document clustering Document retrieval Inverted file.

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Novel Monte Carlo algorithms and their applications

Novel Monte Carlo algorithms and their applications

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2nd APCTP/6th Taiwan International Symposium on Statistical Physics

作者： Okabe, Y Tomita, Y Yamaguchi, C Tokyo Metropolitan Univ Dept Phys Hachioji Tokyo 1920397 Japan

We describe a generalized scheme for the probability-changing cluster (PCC) algorithm, based on the study of the finite-size scaling property of tile correlation ratio, the ratio of the correlation functions with different distances, We apply this generalized PCC algorithm to the two-dimensional 6-state clock model. We also discuss the combination of the cluster algorithm and the extended ensemble method. We derive a rigorous broad histogram relation for the bond number. A Monte Carlo dynamics based on the number of potential moves for the bond number is proposed. and applied to the three-dimensional Ising and 3-state Potts models. (C) 2002 Elsevier Science B.V. All rights reserved.

关键词： cluster algorithm finite-size scaling correlation ratio broad histogram relation

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Application of new Monte Carlo algorithms to random spin systems

Application of new Monte Carlo algorithms to random spin sys...

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International Conference on Statistical Physics

作者： Okabe, Y Tomita, Y Yamaguchi, C Tokyo Metropolitan Univ Dept Phys Hachioji Tokyo 1920397 Japan

We explain the idea of the probability-changing cluster (PCC) algorithm, which is an extended version of the Swendsen-Wang algorithm. With this algorithm, we can tune the critical point automatically. We show the effectiveness of the PCC algorithm for the case of the three-dimensional (3D) Ising model. We also apply this new algorithm to the study of the 3D diluted Ising model. Since we tune the critical point of each random sample automatically with the PCC algorithm, we can investigate the sample-dependent critical temperature and the sample average of physical quantities at each critical temperature, systematically. We have also applied another newly proposed algorithm, the Wang-Landau algorithm, to the study of the spin glass problem. (C) 2002 Elsevier Science B.V. All rights reserved.

关键词： cluster algorithm Ising model random spin systems

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WebGimm: An integrated web-based platform for cluster analysis, functional analysis, and interactive visualization of results

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SOURCE CODE FOR BIOLOGY AND MEDICINE 2011年第1期6卷 3-3页

作者： Joshi, Vineet K. Freudenberg, Johannes M. Hu, Zhen Medvedovic, Mario Univ Cincinnati Coll Med Dept Environm Hlth Lab Stat Genom & Syst Biol 3223 Eden Av ML 56 Cincinnati OH 45267 USA

cluster analysis methods have been extensively researched, but the adoption of new methods is often hindered by technical barriers in their implementation and use. WebGimm is a free cluster analysis web-service, and an open source general purpose clustering web-server infrastructure designed to facilitate easy deployment of integrated cluster analysis servers based on clustering and functional annotation algorithms implemented in R. Integrated functional analyses and interactive browsing of both, clustering structure and functional annotations provides a complete analytical environment for cluster analysis and interpretation of results. The Java Web Start client- based interface is modeled after the familiar cluster/treeview packages making its use intuitive to a wide array of biomedical researchers. For biomedical researchers, WebGimm provides an avenue to access state of the art clustering procedures. For Bioinformatics methods developers, WebGimm offers a convenient avenue to deploy their newly developed clustering methods. WebGimm server, software and manuals can be freely accessed at http://***/.

关键词： cluster algorithm Graphical Processing Unit cluster Procedure Functional Enrichment Analysis Biomedical Researcher

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Spatio-Temporal Dynamics of European Innovation—An Exploratory Approach via Multivariate Functional Data cluster Analysis

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Journal of Open Innovation: Technology, Market, and Complexity 2022年第1期8卷

作者： Rhoden, Imke Weller, Daniel Voit, Ann-Katrin Institute of Energy and Climate Research—Systems Analysis and Technology Evaluation Forschungszentrum Jülich Jülich 52425 Germany Institute for International Law of Peace and Armed Conflict Center for Research Methods Ruhr-Universität Bochum Bochum 44801 Germany FOM Hochschule für Oekonomie und Management Essen 45127 Germany

We apply a functional data approach for mixture model-based multivariate innovation clustering to identify different regional innovation portfolios in Europe, considering patterns of specialization among innovation types. We combine patent registration data and other innovation and economic data across 225 regions, 13 years, and eight patent classes. The approach allows us to form several regional clusters according to their specific innovation types and captures spatiotemporal dynamics too subtle for most other clustering methods. Consistent with the literature on innovation systems, our analysis supports the value of regionalized clusters that can benefit from flexible policy support to strengthen regions as well as innovation in a systematic context, adding technology specificity as a new criterion to consider. The regional innovation cluster solutions for IPC classes for ‘fixed constructions’ and ‘mechanical engineering’ are highly comparable but relatively less comparable for ‘chemistry and metallurgy’. The clusters for innovations in ‘physics’ and ‘chemistry and metallurgy’ are similar;innovations in ‘electricity’ and ‘physics’ show similar temporal dynamics. For all other innovation types, the regional clustering is different. By taking regional profiles, strengths, and developments into account, options for improved efficiency of location-based regional innovation policy to promote tailored and efficient innovation-promoting programs can be derived. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

关键词： cluster algorithm European innovation Functional data analysis (FDA) Innovation concentration Multivariate cluster analysis Spatio-temporal cluster modeling

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Nonlinear Strength Reduction Method of Rock Mass in Slope Stability Evaluation

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MATERIALS 2023年第7期16卷 2793-2793页

作者： Chen, Yifan Chen, Yizhou Lin, Hang Hu, Huihua Cent South Univ Sch Resources & Safety Engn Changsha 410083 Peoples R China Survey & Design Inst Hunan Prov Commun Planning Changsha 410200 Peoples R China

As the strength parameters of rock mass degrade differently during slope instability, different factors should be considered in the strength reduction method. Previous nonlinear reduction methods were essentially implemented based on the Mohr-Coulomb criterion, which was reported not to reflect the nonlinear performance of rock mass. To address this deficiency, in this study, the Hoek-Brown criterion was combined with a nonlinear reduction technique for slope stability evaluation. Firstly, based on the classical definition of safety factors, the relationships that should be satisfied by each parameter of the critical slope were derived. The critical curve of the slope regarding the Hoek-Brown constant m(b) and the uniaxial compressive strength of rock mass s(cmass) was then obtained. On the assumption that the slope parameter deterioration conforms to the shortest path theory, the reduction ratio of s(cmass) to m(b) was determined. The more objective k-means algorithm was employed to automatically search the potential sliding surface, on which the slope safety factor was calculated as the ratio of sliding resistance to sliding force. Finally, the slopes in published literature were adopted for verification, and the calculated safety factors were compared with those by other methods, which showed better efficacy.

关键词： slope stability nonlinear criterion strength reduction method cluster algorithm

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