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COVID-19 Outbreak: An Epidemic analysis using Time Series Prediction Model

COVID-19 Outbreak: An Epidemic Analysis using Time Series Pr...

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International conference on Confluence The Next Generation Information Technology Summit (Confluence)

作者： Raghavendra Kumar Anjali Jain Arun Kumar Tripathi Shaifali Tyagi KIET Group of Institutions Delhi NCR Ghaziabad INDIA

ISBN: (数字)9781665414517

ISBN: (纸本)9781665430340

Coronavirus (COVID-19) epidemic affects public health infrastructure across the world. The outbreak is considered as third major Coronavirus epidemic after SARS (Severe Acute Respiratory Syndrome) in the year 2002-2003 and MERS (Middle East Respiratory Syndrome) in 2015 since past 2 decades. It has been observed that the nature of growth of coronavirus is exponential. It has been tough to control and analyze the situation with limited human resource and treatment process must be carried for the large number of patients within an appropriate time. So, it has become obligatory to work on an automated model, grounded on computing approach, for curative measure. This paper concludes a Time Series Forecasting model and analyze the COVID-19 epidemic occurrence to check whether these numbers are going to be increased or decreased in near future. Statistical pattern analysis and data visualization is performed with widely accepted time series approaches as Auto-Regressive Integrated Moving Average (ARIMA) and its constituents Moving Average (MA) and Auto Regressive (AR). Finally, time-dependent parameters can enlighten the trends of the outbreak COVID-19 in India.

关键词： COVID-19 Analytical models Pandemics Computational modeling Time series analysis Predictive models Public healthcare

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Combining visualisation and choice experiments in built environment research

Combining visualisation and choice experiments in built envi...

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International conference on Information Visualisation (IV)

作者： A.-M. Davies R. Laing S. Scott Robert Gordon University Aberdeen UK

This paper reports results from a project that combined the visualisation of streetscapes with environmental economics. The particular economic methodology employed was choice experimentation, which has previously tended to use text to convey scenarios between which respondents make choices. The research investigated how the visual impact Of streetscapes could be incorporated in choice experiments through the use of 3D computer generated visualisations. data was gathered initially through an Internet based survey, and replicated later using a high specification stand-alone machine. This paper identifies strengths and weaknesses in the approach, and reports results pertaining to effectiveness and practicality of the methodology. Using visualisation offers many potential benefits to the field of choice experimentation, and application within the built environment merits further development.

关键词： visualization Environmental economics Cost accounting Internet Voting Information analysis

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FlexTree: visualising large quantities of hierarchical information

FlexTree: visualising large quantities of hierarchical infor...

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IEEE International conference on Systems, Man and Cybernetics

作者： Hongzhi Song E.P. Curran R. Sterritt School of ISE faculty of Informatics University of Ulster Newtownabbey UK

Visualising large quantities of hierarchical information is a difficult topic in information visualisation and it has been attracting much effort since the emergence of this research area. The paper presents the FlexTree, an approach to visualising, navigating and analysing large hierarchies. It is based on the focus+context technique and combines the power of the histogram with traditional two dimensional (2D) node-link diagrams. This approach maintains the context of a large hierarchy while providing easy and consistent access to details of multiple focal points. Simple aesthetic rules and an interactive design were applied to the system. As a demonstration of the approach a computer file system hierarchy with 6,351 file folders and 130,400 files on a personal computer has been successfully visualised.

关键词： visualization Pervasive computing File systems Knowledge management Organizational aspects Man machine systems data mining Information management Classification tree analysis

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3-D object representation from multi-view range data applying deformable superquadrics

3-D object representation from multi-view range data applyin...

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International conference on Pattern Recognition

作者： Y. Zhang J. Paik A. Koschan M.A. Abidi Department of Electrical & Computer Engineering University of Tennessee Knoxville TN USA

ISBN: (纸本)076951695X

This paper presents a new framework for recovering superquadrics with global deformations from multi-view real range data. The framework aims at improving confidence and accuracy of recovered models by utilizing multiview information, and consists of the initial superquadric model recovery, view registration, view integration, and final model recovery from integrated data. A quadrant analysis technique is proposed to aid the recovery of bending superquadrics. A modified range data registration method based on recovered superquadrics is also proposed to handle tapered superquadrics. Experimental results indicate the proposed framework of multi-view representation significantly improved the accuracy and confidence of recovered superquadrics compared with existing recovery strategies which rely on single-view range images.

关键词： Layout Application software Navigation data visualization data engineering Robot vision systems Object recognition Computer vision Reverse engineering Computer graphics

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Lianyungang Urban Expansion Model analysis Based on Remote Sensing and Geographical Information System

Lianyungang Urban Expansion Model Analysis Based on Remote S...

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International conference on Remote Sensing, Environment and Transportation Engineering (RSETE)

作者： Xia Lu Hongquan Xie School of Geodesy & Geomatics Engineering Huaihai Institute of Technology Lianyungang China

Multi-temporal remote sensing data were taken as data source, land use/ land cover change during the process of urban expansion was extracted by supervise method. On this basis, temporal and spatial variation rules for typical urban land were analyzed in detail and urban expansion model was discussed by visual interpretation method. Researches were indicated that the expansion speed of salt fields and aquiculture regions were the quickest during about ten years, while the total area of farmland in 2009 was larger than that in 2002. On the other hand, urban expansion model was concluded: in Xinpu district, axial direction banding and low density sprawl were the main model of urban expansion; in Donghai county, reticulation expansion and skipping expansion were the main expansion model. While, axial direction banding and round-sprawl in Ganyu county, axial direction banding and reticulation expansion in Guanyun county, and axial direction banding and round-sprawl and skipping expansion in Guannan county. Above analysis is showed that: Land use/ land cover change detection using multi-temporal images by remote sensing (RS) and geographical information system (GIS) technology are one of effective means of analyzing urban expansion.

关键词： Remote sensing Analytical models Earth Satellites Biological system modeling visualization Educational institutions

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The research on model of mining association rules based on quantitative extended concept lattice

The research on model of mining association rules based on q...

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International conference on Machine Learning and Cybernetics (ICMLC)

作者： De-Xing Wang Xue-Gang Hu Hao Wang Department of Computer Science and Technology Hefei University of Technology Hefei China

Concept lattice represents knowledge with the relationships between the intension and extension of concepts, and the relationships between the generalization and specialization of concepts, thus it is properly applied to the description of mining association rules in databases. The quantitative extended concept lattice (QECL) evolves from concept lattice by introducing an equivalent relationship to its intension and quantity to its extension, which further enriches the relationships between its intentions. Based on QECL, we can mine association rules, comparing with well-known Apriori. Mining association rules on QECL does not need to scan databases for many times, has higher quality of time complexity and shows association rules on the Hasse diagram of QECL more visual and concise. Moreover, it can be used to mine association rules interactively according to the user subjective interest.

关键词： data mining Association rules Lattices Algorithm design and analysis Computer science Electronic mail Visual databases visualization Helium Transaction databases

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Improving the modified global smoothing method for spatial distributed and large data-sets to use it in the real-time visualisation of simulation and measurement information

Improving the modified global smoothing method for spatial d...

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International conference on Information Visualisation (IV)

作者： G. Opriessnig G. Beer Institute for Structural Analysis/SiTu-Research Group University of Technology Graz Graz Austria

With the high-speed development. of computer systems having performance values of calculation machines, which needed one or more rooms of place and a special air conditioning a few years ago, the usage of methods dealing with a high amount of data at one side, and the need of doing a enormous number of calculation work at the other side became used more and more frequently. Tunnelling is one major field, where this advance is very important. That field of science is regarded as one of the more difficult engineering tasks. This is due to the fact that tunnels are excavated in a material whose mechanical and hydraulic properties are highly variable and whose behaviour is difficult to describe to a numerical simulation model. Numerical simulation of tunnel advance can serve as a powerful tool in the design and decision making on site. But this has to be done almost in real-time, that means that the calculation and the necessary post-processing must be finished, before the engineer on site is forced to make his decisions. This circumstance places a very specific challenge to the used hard- and software. This paper describes an algorithm, its development and improvements, which have been done, to find a method of data processing for the purpose of scientific visualisation with the necessary properties.

关键词： Smoothing methods visualization Power engineering and energy Numerical simulation Computational modeling High performance computing Air conditioning Tunneling Mechanical factors Numerical models

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Computer aided diagnosis of functional brain disorders using PET on a PC based platform

Computer aided diagnosis of functional brain disorders using...

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Annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： P.G. Spetsieris V. Dhawan Y. Ma J.R. Moeller M.J. Mentis D. Eidelberg Center for Neurosciences North Shore-Long Island Jewish Research Institute Manhasset NY USA Department of Psychiatry Columbia College of Physicians and Surgeons NY USA

We describe a portable PC based platform for computer aided diagnosis (CAD) of functional brain disorders using positron emission tomography (PET) that integrates a variety of methods including quantitative and visual techniques as well as extensively automated procedures. Statistical procedures such as the scaled subprofile model (SSM) in conjunction with principal component analysis are employed to derive neuronal networks that can uniquely identify characteristic metabolic covariance patterns. By measuring the expression of these networks in diseased subjects on an individual basis we can help automate the diagnosis of conditions such as Parkinson's disease and evaluate treatment efficacy and disease progression.

关键词： Positron emission tomography Parkinson's disease Sugar Software packages Scanning probe microscopy Principal component analysis Magnetic resonance imaging Image processing data visualization Statistical analysis

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data exploration with paired hierarchical visualizations: initial designs of PairTrees 03

Data exploration with paired hierarchical visualizations: in...

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Proceedings of the 2003 annual national conference on Digital government research

作者： Bill Kules Ben Shneiderman Catherine Plaisant University of Maryland at College Park College Park MD

Paired hierarchical visualizations (PairTrees) integrate treemaps, node-link diagrams, choropleth maps and other information visualization techniques to support exploration of hierarchical data sets at multiple levels of abstraction (Kules, Shneiderman et al., in press). Coordinated visualizations are an effective way to support exploratory data analysis of multidimensional data sets. Hierarchies are often used to reduce complexity, show structure, and support reasoning at multiple levels of abstraction or aggregation. Our work seeks to integrate hierarchical and coordinated visualizations, taking advantage of the semantics embedded in aggregate, sub-class, containment, and other forms of *** demonstration shows two novel applications of PairTrees in the econometric and health statistics domains. The first application demonstrates PairTrees used to enhance the immediate comprehension and usability of a treemap of disease mortality data from the National Center for Health Statistics. Treemaps (Johnson and Shneiderman, 1991) are an effective way to visualize hierarchies of quantitative data, however their structure is often not immediately apparent to users because of the visual complexity of the display. To improve the immediate usability of this information-rich display and reduce learning time, the treemap is coupled with a SpaceTree interactive node-link diagram (Grosjean, Plaisant et al., 2002) to show an alternate view of the same hierarchy. Users can quickly find a node in the treemap by brushing it in the node-link diagram, and vice-versa. Zooming is also *** second application demonstrates simultaneous multi-level comparisons of aggregate data from separate hierarchies, using data from the US Census Bureau's Economic Census, specifically revenue data for the "Professional, Scientific and Technical Services" sector of the North American Industry Classification System (NAICS). Two treemaps are displayed, each showing a different aggregation

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Research Evolution and Trend analysis of Compensation Research in Chinese State-owned Enterprises Based on Bibliometric analysis 23

Research Evolution and Trend Analysis of Compensation Resear...

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Proceedings of the 2023 4th International conference on Big data Economy and Information Management

作者： Zihao Zheng Xinquan Ge Zongshui Wang Beijing Information Science And Technology University China

ISBN: (纸本)9798400716669

To obtain a comprehensive understanding of the evolution and development of state-owned enterprise compensation research in China, 266 articles from the China National Knowledge Infrastructure (CNKI) database from 2002 to 2022 are utilized as the research samples, Using CiteSpace visualization software and combining with bibliometric methods, the amount of literature published over the years, authors, institutions, research hotspots and frontiers of state-owned enterprise compensation research were analyzed. The results show that: 1) The annual literature publishing volume demonstrates a trend of change, initially showing expansion and then declining until peaking in 2018. 2) On the topic of SOE compensation, writers and issuing bodies are often dispersed, with very few authors and organizations collaborating closely. 3) "Salary control," "Salary gap," and "Executive compensation" have the highest intermediary centrality, "executive compensation" is the most frequently occurring of the three terms related to "executive compensation." Research frontiers point to areas such as Salary restriction order and salary control, topics that have become hot research topics in SOE compensation in recent years. In the future, research will concentrate on national policy and conduct in-depth research in five areas: how to close the salary gap in state-owned businesses and strategies; how to create an ideal system for evaluating salaries; and how to optimize and enhance executive compensation.

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