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Research hotspots and trends analysis of investigative interrogation methods based on CiteSpace

Research hotspots and trends analysis of investigative inter...

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2022 International conference on Statistics, data Science, and Computational Intelligence, CSDSCI 2022

作者： Shang, Xuzhe Sun, Ying Lv, Hongyu Lin, Shancheng Liu, Tao School of Investigation People's Public Security University of China Beijing100038 China School of National Security People's Public Security University of China Beijing100038 China

ISBN: (纸本)9781510661325

Analyzing the research changes of interrogation methods in our country and revealing the hot topics and research trends in this field is of great significance for improving interrogation strategies and realizing the transformation of interrogation methods. This thesis uses the papers on the subject of "interrogation method" in CNKI database from 2002 to 2021 as the data source, and uses CiteSpace software for visual analysis. The results show that the hot topics in the research field of interrogation methods include investigator, evidence, human rights protection, interrogation skill, etc. While the research trends mainly focus on major case, repeated confession, confession psychology and so forth. As the current related research is still weak in terms of academic cooperation, research methods, and foreign reference, it is recommended to increase academic exchanges and cooperation in the future, strengthen interdisciplinary research, and learn from international advanced experience based on our country's national conditions, so as to expand the breadth and depth of research on interrogation methods. © 2023 SPIE.

关键词： data visualization

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Research on Forest Landscape based on Big data and CiteSpace visualization analysis 2

Research on Forest Landscape based on Big data and CiteSpace...

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2nd International conference on 3D Immersion, Interaction and Multi-Sensory Experiences, ICDIIME 2023

作者： Lin, Xinya Xu, Han Dong, Jianwen Fujian Agriculture and Forestry University Fuzhou China

ISBN: (纸本)9798350323818

In order to fully grasp the development and research status of forest landscape ecology, this paper analyzed the literatures related to forest landscape from 1982 to 2020 on CNKI and Wanfang data Service platform. Based on Python language environment, this paper uses Scrapy framework to extract literature data, and uses CiteSpace visual analysis software to draw knowledge map. It analyzes and visualizes the amount of articles published, research groups, research hotspots and trends. The results showed that: (1) the development process of forest landscape ecology research was divided into three stages: initial exploration period from 1982 to 2002, rapid development period from 2003 to 2008, and stable development period from 2009 to present. (2) The number of scholars in this field is relatively large and scattered, and the influential core author group and institutional group has not yet been formed;(3) The hot research directions are forest landscape pattern, sustainable development of forest, and forest landscape planning and design. (4) The focus of forest landscape ecology research has gradually shifted from geographic information system to eco-Tourism, urban forest and planning and design, and the research has become specialized and meticulous. © 2023 IEEE.

关键词： Big data

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Redundancy reduction in 3D facial motion capture data for animation 07

Redundancy reduction in 3D facial motion capture data for an...

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APGV 2007: 4th Symposium on Applied Perception in Graphics and visualization

作者： Wellein, Daniela I. Curio, Cristóbal Bülthoff, Heinrich H. Max Planck Institute for Biological Cybernetics Tübingen Germany ICCAS University of Leipzig

Research on the perception of dynamic faces often requires realtime animations with low latency. With an adaptation of principal feature analysis [Cohen et al. 2002], we can reduce the number of facial motion capture ... 详细信息

ISBN: (纸本)159593670X

关键词： Face recognition

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Analyzing the Research Hotspots and Trends in Crisis Leadership in the Big data Era - - A Bibliometric visualization analysis Based on WoSCC 9

Analyzing the Research Hotspots and Trends in Crisis Leaders...

引用

9th International conference on Big data and Information Analytics, BigDIA 2023

作者： Luo, Jiali Yang, Qingqing Liu, Guangda National University of Defense Technology College of Systems and Engineering Changsha China

ISBN: (纸本)9798350330076

In order to comprehensively understand the development context and evolution trends of international crisis leadership research in the big data era, this study uses the journal papers retrieved from the Science Citation Index Expanded (SCI-EXPANDED) and Social Sciences Citation Index (SSCI) databases of the Web of Science Core Collection (WoSCC) as the main data source, and with the help of visual analysis tool CiteSpace software, carries out a scientific literature metric analysis on the core authors, research countries, research institutions, publishing journals, theme keywords, and hotspot trends of international crisis leadership research. The series of knowledge maps are drawn. The results show that: The annual number of publications on crisis leadership research has experienced three stages: a slow growth period (2002-2008), a significant growth period (2009-2019), and a rapid growth period (2020-2023). The cumulative publication volume shows a continuous increase trend. The crisis leadership field research literature mainly comes from a few core author groups, and the research of core authors has laid the foundation for crisis leadership. The United States ranks first among the countries conducting research on crisis leadership, followed by England, and China is the most productive country in Asia. © 2023 IEEE.

关键词： Big data

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A web-based GIS solution for drilling data workflows in Kuwait

A web-based GIS solution for drilling data workflows in Kuwa...

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International Petroleum Technology conference 2009, IPTC 2009

作者： Hufni, Mohd A. ElKassas, Tamer Najem, Noha Kuwait MANCO United States

ISBN: (纸本)9781615678150

In 2002 Kuwait Oil Company (KOC) embarked on a project to improve the decision making process among the various groups in KOC by centralizing all geospatial information and integrating E&P data using Geographic Information System (GIS). By pioneering in the employment of appropriate GIS technologies amongst oil sectors companies in Kuwait, KOC anticipated to effectively manage E&P data and use this data to better understand and plan their critical business processes. Today, these workflows have enhanced workflow processes, effectively in the KOC Drilling Operations Group. The Drilling Operations Group, an integral group in KOC, specializes in monitoring and drilling engineering of development drilling and drilling operations of development wells in the fields of Kuwait Oil Company. Their goal was to optimize their daily data-access workflows by the use of an expert data integration, visualization and analysis tool to help them leverage their decision-making through user-friendly and online access to a multitude of spatial data including exploration, drilling and production data. With the implementation of a web-based GIS solution using ArcGIS Server, engineers utilized mapping and data integration functionality as well as analysis to improvetheir data access workflows. Drilling engineers are able to view reliable datapertaining to wells, and other surface facilities on a map easily at their offices, enhancing decision-making and reducing HSE risks by minimizing trips to the field. This paper describes an approach for the optimization of drilling workflow processes using GIS technology by effectively analysing, managing, and visualizing Exploration and Production (E&P) data to better serve drilling engineers and managers in performing their daily operations. The approach and methodology of implementing such technology optimized daily data access workflows and consisted of user requirement gathering and analysis, drilling data type definition and analysis, map feature

关键词： Geographic information systems

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From digital library to digital government: A case study in crime data mapping and mining 5th

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5th International conference on Asian Digital Libraries (ICADL 2002)

作者： Chen, HC Univ Arizona Artificial Intelligence Lab Tucson AZ 85721 USA Univ Arizona Hoffman E Commerce Lab Tucson AZ 85721 USA

ISBN: (纸本)3540002618

In light of the significant research activities in digital library, digital government, and e-commerce over the past decade, there seems to be common threads among them and unique challenges and opportunities ahead. For digital library, we are beginning to tally its research impacts and contemplate future directions. For digital government, information technologies could offer tremendous opportunities, but will they happen fast enough? We hope by discussing the many unique problems and challenges facing these fast evolving and somewhat related research disciplines, we could share lessons learned and develop insights for advancing our knowledge and achieving successful organizational transformation. A detailed case study of a research project (COPLINK) jointly funded by the NSF Digital Library and Digital Government Programs in the area of crime data mining will be presented in detail. We discuss how advanced visual crime mining techniques such as association rule mining, social network analysis, deception detection, temporal-spatial visualization, and agents could become the catalyst for assisting intelligence and law enforcement agencies in capturing knowledge and creating transformation.

关键词： Digital libraries

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The Genomic Plant Warehouse Framework: A Systematic Literature Review 2

The Genomic Plant Warehouse Framework: A Systematic Literatu...

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2nd International conference on Information Management and Technology (ICIMTech)

作者： Siswanto, Teddy Hendric, Spits Warnars Harco Leslie Prabowo, Harjanto Sianipar, Nesti Fronika Meyliana Abbas, Bahtiar Saleh Hidayanto, Achmad Nizar Trisakti Univ Dept Informat Syst Jakarta Indonesia Bina Nusantara Univ BINUS Grad Program Comp Sci Jakarta 11480 Indonesia Bina Nusantara Univ Res Interest Grp Food Biotechnol Fac Engn Food Technol Jakarta Indonesia Bina Nusantara Univ Sch Informat Syst Dept Informat Syst Jakarta 11480 Indonesia Univ Indonesia Fac Comp Sci Depok Indonesia

ISBN: (纸本)9781538629307

Designing data warehouse of genomic plant is different compared to business data warehouse. Due to the development of biological science today that leads to other scientific field such as bio-technology, bio-chemistry, bio-science and bio-informatics. For that required framework design in accordance with the development of scientific genomic plants. This paper uses a literature review approach to research published in 2002-2017. The reference chosen for the systematic literature review are EBSCO, Science Direct, Emerald Insight and Proquest. Through literature research has been tested as many as 77 papers from all sources related to the criteria, then obtained as study candidate of 30 papers based on title and abstract relevance based on research questions. After further investigation, there are only 19 papers that can be used in this paper. The result shows that the variable of framework for the genome data warehouse plant are Construction & Content and Search, that component consisting of data Source, data Model, data Integration, visualization, data Schema, data Mining, DNA Extraction, Web Services, data Projection, data Template-Import Tool-Web Interface and Display Format,-Filter-Further analysis. While search component obtained search Sequence, Keyword and Query Builder, Region, Unstructured Keyword and Structured Text Search.

关键词： Framework data Warehouse Construction Content Search

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Enhancement and reconstruction of thermographic NDT data

Enhancement and reconstruction of thermographic NDT data

引用

Thermosense XXIV conference

作者： Shepard, SM Lhota, JR Rubadeux, BA Ahmed, T Wang, D Thermal Wave Imaging Inc Ferndale MI 48220 USA

ISBN: (纸本)081944460X

visualization and analysis of pulsed thermographic data for NDT has generally been based on simple image averaging, subtraction or slope operations. Quantitative contrast methods, based on comparison to a defect free reference point or region, have also been used to a lesser extent. Despite their widespread use, all of these methods are highly susceptible to noise, nonlinearity of the IR camera response, and the presence of surface features on the sample. More importantly, the ability of any of these methods to significantly improve the ability to retrieve deep or weak subsurface features beyond the original unmodified image is limited. In a previous paper, we introduced the concept of Thermographic Signal Reconstruction (TSR) as a means of enhancing defect to background contrast while reducing the amount of data that must be stored by an order of magnitude. The TSR method increases the depth range over which pulsed thermography can be applied, and also reduces the amount of blurring due to lateral diffusion that is typical of thermographic imaging. In this paper we compare TSR with conventional thermographic approaches and consider the mechanisms for the resulting performance improvements.

关键词： nondestructive infrared thermography

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OSIRIS: A three-dimensional, fully relativistic particle in cell code for modeling plasma based accelerators

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International conference on Computational Science

作者： Fonseca, RA Silva, LO Tsung, FS Decyk, VK Lu, W Ren, C Mori, WB Deng, S Lee, S Katsouleas, T Adam, JC Inst Super Tecn GoLP CFP Lisbon Portugal Univ Calif Los Angeles Los Angeles CA USA Univ So Calif Los Angeles CA USA Ecole Polytech F-75230 Paris France

ISBN: (纸本)3540435948

We describe OSIRIS, a three-dimensional, relativistic, massively parallel, object oriented particle-in-cell code for modeling plasma based accelerators. Developed in. Fortran 90, the code runs on multiple platforms (Cray T3E, IBM SP, Mac clusters) and can be easily ported to new ones. Details on the code's capabilities are given. We discuss the object-oriented design of the code, the encapsulation of system dependent code and the parallelization of the algorithms involved. We also discuss the implementation of communications as a boundary condition problem and other key characteristics of the code, such as the moving window, open-space and thermal bath boundaries, arbitrary domain decomposition, 2D (cartesian and cylindric) and 3D simulation modes, electron sub-cycling, energy conservation and particle and field diagnostics. Finally results from three-dimensional simulations of particle and laser wakefield accelerators are presented, in connection with the data analysis and visualization infrastructure developed to post-process the scalar and vector results from PIC simulations.

关键词： data visualization

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analysis and visualization of multiwavelength spectral energy distributions in the NASA/IPAC Extragalactic database (NED)

Analysis and visualization of multiwavelength spectral energ...

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conference on Astronomical data analysis II

作者： Mazzarella, JM Madore, BF Bennett, J Corwin, H Helou, G Kelly, A Schmitz, M Skiff, B CALTECH Jet Prop Lab Pasadena CA 91125 USA

ISBN: (纸本)0819446262

The NASA/IPAC Extragalactic database (NED, http://***..edu/) currently contains over 4.5 million photometric measurements covering the electromagnetic spectrum from gamma rays through radio wavelengths for objects that are being cross-correlated among major sky surveys (e.g., 2MASS, SDSS, IRAS, NVSS, FIRST) and thousands of smaller, but unique and important, catalogs and journal articles. The ability to retrieve photometric data (including uncertainties, aperture information, and references) and display spectral energy distributions (SEDs) for individual objects has been available in NED for six years. In this paper we summarize recent enhancements that enable construction of large panchromatic data sets to facilitate multidimensional photometric analysis. The database can now be queried for samples of objects that meet flux constraints at any wavelength (e.g., objects with any available 20cm flux, or objects with f(nu)[10mum] > 5.0 Jy). The ability to utilize criteria involving flux ratios (e.g., objects with f(nu)[20cm]/f(nu)[60mum] > 0.5) is under development. Such queries can be jointly combined with additional constraints on sky area, redshifts, object types, or sample membership, and the data are output with consistent physical units required for comparative analysis. Some results derived from fused photometric data in NED are presented to highlight the large number and diversity of available SEDs.

关键词： databases information retrieval knowledge discovery classification astronomy galaxies

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