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A Visualized analysis of Service Assistive Robots for Families With Disabled Children Based on CiteSpace data

A Visualized Analysis of Service Assistive Robots for Famili...

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Service Robotics (ICoSR), International conference on

作者： Yanlong Ma Olive Tree International Academy BFSU Hangzhou China

ISBN: (数字)9798350367119

ISBN: (纸本)9798350367126

It has been estimated that about 15% of the global population, which represents more than one billion people are with disabilities, among them there are 250 million disabled children. In China, there are 3.87 million disabled children with over 200,000 new disabled children added to total population each year which is challenging for both those children as well as for their care providers and caregivers. Service assistive Robotics (SABs) can help families with disabled children (FWDCs) to solve barriers, difficulties and practical problems. This paper has analyzed the 426 articles of SABs for FWDCs from 1990 to 2023 by using CiteSpace visualized approach. It has analyzed that: (1) The history development of the SABs for FWDCs study can be summarized into 3 periods: the beginning period (1990–2004), the rapid developing period (2005–2015), and the diversified developing period (2016–2023). (2) The top keywords are feature and functions, mobile robot, investment game, educational game, educational settings, task analysis. (3) At present studying, the main topics and hotspots are educational sciences, demand and need, computer and manufacturing system, emotion, trust and empathy, facilities and equipment, artificial intelligence, etc,. As a conclusion, the studies of SABs for FWDCs are developing very fast in the past 33 years. The study topics in recent years becomes more detailed and diverse. But the cross-disciplinary and diversified study is still needed to be improved. This paper sincerely hopes that more efforts can be contributed to the studies of SABs for FWDCs in the coming future.

关键词： Bibliographies data visualization Games Assistive robots Mobile robots History Artificial intelligence Task analysis Manufacturing systems Investment

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Review of CiteSpace-Based Research on Artificial Intelligence for Teaching Management and Evaluation

Review of CiteSpace-Based Research on Artificial Intelligenc...

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International conference on Educational and Information Technology (ICEIT)

作者： Hong Wei Peng Deng School of Information Science and Technology (SIST) Yunnan Normal University Kunming China

The development of artificial intelligence has always been a hotly debated topic, especially the use of artificial intelligence in the education industry has become more and more widespread. The bibliometric method and visual analysis method were adopted, and the tool used was CiteSpace 6.1.R6 (literature visual analysis software). The core journal literature and master’s and doctoral dissertations on the use of artificial intelligence in teaching management and evaluation in the Web of Science core database from 2004 to 2022 were selected as the objects of analysis. We analyzed the knowledge map by clustering keywords, co-occurrence of keywords, authors, research institutions and countries, and sorted out the hot spots, main ideas and future research trends of AI in teaching management and evaluation at home and abroad. Based on the literature and knowledge mapping analysis, it is found that the research hotspots are mainly distributed in the field of medical teaching, deep learning, Internet of Things, big data, facial recognition, knowledge base and personalized learning, which also provides a reference basis and development direction for the use of AI in teaching management and evaluation in China.

关键词： Industries visualization Education Knowledge based systems Medical services Market research Software

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Research Progress and Trends in Urban Public Transportation: A visualization analysis Using Citespace 20

Research Progress and Trends in Urban Public Transportation:...

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20th COTA International conference of Transportation Professionals (CICTP) - Advanced Transportation, Enhanced Connection

作者： Du, Jiahui Duan, Zhengyu Tongji Univ Key Lab Rd & Traff Engn Minist Educ Shanghai Peoples R China

ISBN: (纸本)9780784483053

With the development of urbanization and motorization, traffic congestion has been increasingly serious. In this context, how to improve the operational efficiency and the service of public transit has become an important research issue. In this paper, the literature of public transit from 2004 to 2019, were collected through the literature search engine: web of science (WOS). Using visualization analysis tool CiteSpace, the knowledge graph was drawn to show the research trends and hotspots, development process and structural relationship in public transit. The results show that the research content and research methods are increasingly diversified, but DEA is still the main analytical method. Smart cards are a popular source of data, and research data sources are more extensive. People-oriented slow traffic has become a research hotspot. In addition, the application of knowledge graph is expected to be a new study issue in the field.

关键词： visualization

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The Trend, Hotspots, Frontier and Path of Big data visualization Research in China-Based on the Knowledge Graph analysis of Citespace5.5.R2

The Trend, Hotspots, Frontier and Path of Big Data Visualiza...

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2020 International conference on Culture-Oriented Science and Technology, ICCST 2020

作者： Min, Guanghui Lin, Muhui Li, Zhe Du, Yuexia Fujian Normal University Faculty of Education Fuzhou China

ISBN: (纸本)9781728181387

In 2016, China has adopted big data visualization technology as its national development strategy, however relevant literature review research is deficient at present. In view of this, this study uses Citespace5.5.R2 to elaborately analyze 2875 documents in CNKI database from 1994 to 2020 by adopting the methods of keyword co-occurrence analysis, document co-citation analysis and high-cited document analysis, which reasonably draw a conclusion on the research trend, research hotspots distribution, research frontier and research path of big data visualization research field in China. In general, research on big data visualization in China keeps a steady growing trend;Research hotspots are divided into four major themes: journalism is the main application industry, big data visualization technology and platform research, the representation of big data visualization and big data visualization algorithm research. From the perspective of research frontier, research based on Knowledge Graph has become the latest research method and Echart has become the latest technology implementation method in this field. In view of the research path, Chinese big data visualization research has gone through three stages: 1994-2003 is in the embryonic stage, 2004-2011 is in the stage of stable development and 2012-2020 is in the rapid development stage. © 2020 IEEE.

关键词： data visualization

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Bibliometrics-Based Visualisation and Trend analysis of Regional Culture and Urban Image Design

Bibliometrics-Based Visualisation and Trend Analysis of Regi...

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Digital Technology and Intelligent Education (ICDTIE), International conference on

作者： Tingyin Deng Meiling Wang Xuemei Jiang Jingwen Luo Sichuan Key Provincial Research Base of Intelligent Tourism Sichuan University of' science and Engineering Da'an district Zigong China Academy of Fine Arts Sichuan University of' Science and Engineering Da'an district Zigong China

ISBN: (数字)9798331512323

ISBN: (纸本)9798331512330

In the context of globalization and informatization, urban development has ush-ered in new opportunities, with Regional Culture (RC) and City Image Design (CID) emerging as new focal points of urban competition. This study utilizes 411 articles sourced from the Web of Science Core Collection (WoSCC) database as the data foundation. Employing visualization software such as CiteSpace 6.3.R1 and VOSviewer, it analyzes literature themed around “regional culture (RC)”, “city image (CI)”, and “design” from January 1, 2004, to October 16, 2024. The finding s reveal that: ① China, the United States, and certain EU countries demonstrate significant innovation and influence in this research field, with nota-ble contributions from scholars such as Li, L., Li, Z., and Wang, Y.; ② Research hotspots concentrate on urban ecological governance, ecological design, heritage tourism management, and community cultural sustainability, reflecting a comprehensive consideration of multidimensional urban factors and promoting a deeper understanding of urban renewal and spatial planning; ③ Over the past two dec-ades, research on RC and CID has shown an upward trend, evolving through phases of initial growth, fluctuating growth, and stable development; ④ Future trends are centered on diversified and personalized presentation methods, along-side an emphasis on deep-level interpretation and distinctive features of urban culture. This study not only provides a comprehensive perspective on the re-search dynamics within the RC and CID fields but also offers guidance for future research directions.

关键词： Technological innovation Urban areas Globalization Europe Market research Planning Cultural differences Global communication Sustainable development Software tools

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Research on the OBOR trade network based on the maximal weighted spanning tree and centrality analysis strategy

Research on the OBOR trade network based on the maximal weig...

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Chinese Control and Decision conference, CCDC

作者： Hui Zhou Fuxian Xiao Hongling Liu Jie Liu School of Media Wuhan Textile University Wuhan P.R. China Research Centre of Nonlinear Science Wuhan Textile University Wuhan P.R. China School of Economics Wuhan Textile University Wuhan P.R. China Department of Applied Mathematics Wuhan Textile University Wuhan P.R. China

ISBN: (纸本)9781665478977

In this brief paper, the textile materials, clothing, and shoes trade network along one belt one road countries was constructed and analyzed (mainly based on STIC 83 and STIC 84 hybrid trade data in 2004-2019). Based on basic characters calculation, trade member community detective, membership importance ranking by page rank value, bridging centrality calculation, and network visualization analysis, the topological structure and evolution trend of the One Belt One Road (OBOR) trade network was analyzed on details. The network diameter and average length of the path between countries is relatively small with the development of world globalization process. The analysis of node PR value’s distribution analysis showed that, Czechia, India, Singapore, United Arab Emirates, Viet Nam, Myanmar, Pakistan, Poland, Sri Lanka, Turkey, Ukraine, China, Indonesia, Malaysia, Romania, Russian Federation, and Thailand behaved important function for trade communications. The analysis of node betweenness centrality value’s distribution analysis showed that, Czechia, India, Singapore, United Arab Emirates, Viet Nam, Myanmar, Pakistan, Poland, Sri Lanka, Turkey, Ukraine, China, Indonesia, Malaysia, Romania, Russian Federation, Thailand behaved most important media Junction. We also found that, the 65 One Belt One Road countries in the trade network behaves like a three layers small-world network, and it can be divided into 3 main community according to geography address on the earth along the OBOR line according to community analysis, in which China occupies a very important position in the whole trade network. We also tried to check whether the maximal weighted spanning tree will occupy most of such a trade network or not. The analysis of maximal weighted spanning tree of the trade network further revealed that, the betweenness centrality and bridging centrality distributions of constructed MST is different from each other. The betweenness centrality distribution of weighted MST is some

关键词： Geography Earth Roads Globalization Footwear Media Belts

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analysis and dynamic visualization of logistics flows in the Arctic based on geoservices 5

Analysis and dynamic visualization of logistics flows in the...

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5th International conference on Arctic: History and Modernity

作者： Vicentiy, A.V. Institute for Informatics and Mathematical Modeling - Subdivision Federal Research Centre Kola Science Centre Russian Academy of Science Apatity Russia Apatity Branch of Murmansk Arctic State University Apatity Russia

The paper notes the importance of the Arctic and the Arctic zone of the Russian Federation as a promising source of mineral and biological resources necessary to maintain the pace of socio-economic development of modern society. However, for the integrated development of Arctic resources and the creation of a favorable environment for the life of the population in the Far North, it is necessary to solve the problems of logistics and transport accessibility of the Arctic regions. For the successful solution of logistic problems, various factors and features specific to the Arctic territories must be taken into account. In these conditions, multimodal transportation, which requires special attention to the analysis, control and monitoring of routes and delivery vehicles, is of particular relevance. In order to provide information support for solving logistics problems, an approach to creating a web-geoservice for analysis and dynamic visualization of logistics flows is proposed. A feature of the proposed approach is the use of external sources of cartographic information, which can significantly reduce the material and time costs for the design and development of web-geoservice. The paper describes methodological support, as well as stages of design and development of web-geoservice for analysis and dynamic visualization of logistic flows in the Arctic zone of the Russian Federation. As an example of the Arctic region, the Murmansk region, which is part of the Arctic zone of the Russian Federation, was chosen to test the main capabilities of the web-geoservice. © Published under licence by IOP Publishing Ltd.

关键词： Transportation routes

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visualization analysis on the application of molybdenum disulfide in sensors

Visualization analysis on the application of molybdenum disu...

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2020 IEEE International conference on Information Technology, Big data and Artificial Intelligence, ICIBA 2020

作者： Yangyang, Wang Huaizhang, Wang Jingfei, Chen Chengyu, Yang Ting, Liang The Institute of NBC Defense Beijing102205 China

ISBN: (纸本)9781728152240

Ultra thin two-dimensional materials have attracted lots of attention since the monolayer graphene was first successfully deposited by mechanical exfoliation in 2004 by British scientists. Since then, grapheme-like-materials, such as mathrmMoS_2 have become a new research hotspot. Based on the Web of Science Core collection database, this study visually analyzed the research status of application of mathrmMoS_2 in the sensors since 1996 to 2019 by using co-citation, citation burst, and keyword co-occurrence functions of software CiteSpace. This paper aims to scientifically and accurately recognize the trends and challenges in the development of mathrmMoS_2 -based gas sensors. © 2020 IEEE.

关键词： Graphene

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Behavioral analysis of active facebook users using the neo pi-r model

Behavioral analysis of active facebook users using the neo p...

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International conference on data Sciences, Security and Applications, ICDSSA 2019

作者： Sandhu, Suhelbeer Singh Gupta, Ankit Srivastav, Garima Chandigarh College of Engineering and Technology Chandigarh India Institute of Technology and Sciences Mohan Nagar Ghaziabad India

ISBN: (纸本)9789811503719

The growth of social media has a profound impact on the behavior of its users. Facebook was invented in 2004, and it has connected more people together than ever before. Regular use of Facebook has shown to affect the user’s lifestyle, both in negative and positive ways. Facebook provides the idle platform for studying human psychology. This study uses the NEO PI-R model to identify the behavioral relations between various facets of the big five factors. A questionnaire containing non-identifying demographic questions and the NEO PI-R model was made and distributed. 293 distinct and anonymous entries were received to avoid any biasing. Correlations were deduced using Tableau to visualize the data. © Springer Nature Singapore Pte Ltd. 2020.

关键词： data visualization

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The Trend, Hotspots, Frontier and Path of Big data visualization Research in China——Based on the Knowledge Graph analysis of Citespace5.5.R2

The Trend, Hotspots, Frontier and Path of Big Data Visualiza...

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Culture-oriented Science & Technology (ICCST), International conference on

作者： Guanghui Min Muhui Lin Zhe Li Yuexia Du Faculty of Education Fujian Normal University Fuzhou China

ISBN: (数字)9781728181387

ISBN: (纸本)9781728181394

In 2016, China has adopted big data visualization technology as its national development strategy, however relevant literature review research is deficient at present. In view of this, this study uses Citespace5.5.R2 to elaborately analyze 2875 documents in CNKI database from 1994 to 2020 by adopting the methods of keyword co-occurrence analysis, document co-citation analysis and high-cited document analysis, which reasonably draw a conclusion on the research trend, research hotspots distribution, research frontier and research path of big data visualization research field in China. In general, research on big data visualization in China keeps a steady growing trend; Research hotspots are divided into four major themes: journalism is the main application industry, big data visualization technology and platform research, the representation of big data visualization and big data visualization algorithm research. From the perspective of research frontier, research based on Knowledge Graph has become the latest research method and Echart has become the latest technology implementation method in this field. In view of the research path, Chinese big data visualization research has gone through three stages: 1994-2003 is in the embryonic stage, 2004-2011 is in the stage of stable development and 2012- 2020 is in the rapid development stage.

关键词： data visualization Big data Journalism Market research Industries Text analysis Visual databases

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