Field Composition and Development Trend of Research Hotspots of Translation Technology in China—Based on Co-word Visualization Analysis of Relevant Academic Journals from CNKI Published from 1999 to 2017

2017 ◽  
Vol 7 (12) ◽  
pp. 1210
Author(s):  
Xiaoxue Zhang
Keyword(s):  
Rapid Development ◽  
Research Direction ◽  
Development Trend ◽  
Research Field ◽  
Academic Journals ◽  
Main Research ◽  
Existing Problems ◽  
Integration Of Disciplines ◽  
Deep Integration ◽  
Research Hotspots

With the rapid development of computer technology and deep integration of disciplines, translation technology has gradually become an important research direction and a new focus of translation studies. In order to reveal the present situation of research on translation technology, we take the academic journals on translation technology from CNKI published between 1999 and 2017 as our data sample for analysis. The results show that the main research hotspots of translation technology cover four areas, i.e. computer-aided translation, human-computer interaction, translation technology teaching and talent training, as well as terminologies of the field. Through analysis of the current situation and existing problems in the above mentioned areas, some thoughts and prospects are put forward to provide guidance and illumination to scholars in this research field and promote further and deeper studies into the subject.

scholarly journals APPLICATION OF BIG DATA IN ENTERPRISE MANAGEMENT

2021 ◽  
Author(s):  
FENG GUO ◽  
HUI-LIN QIN
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Rapid Development ◽  
Enterprise Management ◽  
Complex Data ◽  
Real Economy ◽  
Existing Problems ◽  
Other Information ◽  
Big Data Application ◽  
Deep Integration

With the continuous development of information technology, enterprises have gradually entered the era of big data. How to analyze the complex data and find out the useful information to promote the development of enterprises is becoming more and more important in the modernization of science and technology. This paper expounds the importance and existing problems of big data application in enterprise management, and briefly analyzes and discusses its application in enterprises and its future development direction and trend. With the rapid development of Internet of things, cloud computing and other information technology, the world ushered in the era of big data. It has become a trend to promote the deep integration of Internet, big data, artificial intelligence and real economy. Due to the rapid development of economy, the amount of data information generated in the process of consumption and production is very large. Under the traditional management mode, enterprises can not meet the needs of the current social and economic development. However, the application of big data technology in enterprises can achieve better analysis and Research on these data information, so as to provide reliable data basis for enterprises to carry out various business management decisions.

scholarly journals SUGGESTIONS FOR FORMULATING COLLABORATIVE REMOTE SENSING EMERGENCY PLAN BASED ON CASE STUDIES

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 77-81
Author(s):  
B. Liu ◽  
F. Wang ◽  
X. Zheng ◽  
M. Qi
Keyword(s):  
Remote Sensing ◽  
Emergency Management ◽  
Case Studies ◽  
Rapid Development ◽  
Emergency Plan ◽  
Emergency Plans ◽  
Main Research ◽  
Existing Problems ◽  
Real Time Information ◽  
Future Work

With the rapid development of the Remote Sensing (RS) technology, Remote Sensing Services for Emergency Monitoring (RSSEM) are playing a more and more important role in the field of emergency management, where the collaborative RS approaches (including such as Space-Air-Ground platforms) can provide the decision-makers a quick access to the detailed, real-time information about the emergencies. However, there are still some problems in the current mechanism of RSSEM, for example, the inappropriate choices of the collaborative RS approaches, the miscellaneous procedures and so on. It is urgent to formulate a collaborative RS emergency plan for regulating the applications of the RS monitoring approaches in order to be well prepared for the emergency management. <br><br> In our studies, creating a good collaborative RS emergency plan is the main research objective. This paper is divided into four parts. The Part Ⅰ gives a brief introduction about the research background. The Part Ⅱ investigates four case studies to analyze the applications of the RS technologies under the guidance of the available RS related emergency plans, and then points out the existing problems in the mechanism of the RSSEM. The Part Ⅲ proposes our suggestions for formulating the collaborative RS emergency plan to explore the countermeasures of the problems pointed out in the Part Ⅱ. The last part concludes this paper and discusses the future work of the collaborative RS emergency plan.

scholarly journals Visual Analysis on Information Theory and Science of Complexity Approaches in Healthcare Research

Entropy ◽  
2020 ◽  
Vol 22 (1) ◽  
pp. 109 ◽  
Author(s):  
Xiaoyu Wang ◽  
Wang Zhao ◽  
Yongzhong Wang ◽  
Qin Zhao ◽  
Xuejie Yang ◽  
...  
Keyword(s):  
Information Theory ◽  
Visual Analysis ◽  
Temporal Distribution ◽  
Research Direction ◽  
Healthcare Research ◽  
Research Field ◽  
Future Research ◽  
Knowledge Support ◽  
Analytical Tools ◽  
Research Hotspots

In order to explore the knowledge base, research hotspot, development status, and future research direction of healthcare research based on information theory and complex science, a total of 3031 literature data samples from the core collection of Web of Science from 2003 to 2019 were selected for bibliometric analysis. HistCite, CiteSpace, Excel, and other analytical tools were used to deeply analyze and visualize the temporal distribution, spatial distribution, knowledge evolution, literature co-citation, and research hotspots of this field. This paper reveals the current development of healthcare research field based on information theory and science of complexity, analyzes and discusses the research hotspots and future development that trends in this field, and provides important knowledge support for researchers in this field for further relevant research.

scholarly journals Deep Learning-Based Encrypted Network Traffic Classification and Resource Allocation in SDN

2021 ◽  
Author(s):  
Hao Wu ◽  
Xi Zhang ◽  
Jufeng Yang
Keyword(s):  
Resource Allocation ◽  
Deep Learning ◽  
Network Traffic ◽  
Rapid Development ◽  
Research Direction ◽  
Traffic Classification ◽  
Network Technology ◽  
Main Research ◽  
Network Information ◽  
Network Traffic Classification

In the rapid development of network technology, with the improvement of the quality and quantity of network users’ demands, more and more network information technology and excessive network traffic also raise people’s attention to the internal network security. Especially for the classification and resource allocation of encrypted network traffic, the research of related technologies has become the main research direction of the development of network technology. The extensive application of deep learning provides a new idea for the study of traffic classification. Therefore, on the basis of understanding the current situation, the improved convolutional neural network is selected to conduct an in-depth discussion on traffic classification and resource allocation of encrypted networks based on deep learning. The performance of the system is verified from the perspective of practical application.

scholarly journals Scaffolding Biomaterials for Cartilage Regeneration

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Zhen Cao ◽  
Ce Dou ◽  
Shiwu Dong
Keyword(s):  
Polymeric Materials ◽  
Cartilage Regeneration ◽  
Research Direction ◽  
Vital Role ◽  
Research Field ◽  
Main Research ◽  
Advantages And Disadvantages ◽  
Biochemical Modification ◽  
Tissue Engineering Approach ◽  
New Research

Completely repairing of damaged cartilage is a difficult procedure. In recent years, the use of tissue engineering approach in which scaffolds play a vital role to regenerate cartilage has become a new research field. Investigating the advances in biological cartilage scaffolds has been regarded as the main research direction and has great significance for the construction of artificial cartilage. Native biological materials and synthetic polymeric materials have their advantages and disadvantages. The disadvantages can be overcome through either physical modification or biochemical modification. Additionally, developing composite materials, biomimetic materials, and nanomaterials can make scaffolds acquire better biocompatibility and mechanical adaptability.

Functionally Graded Thermoelectric Materials

2007 ◽  
Vol 336-338 ◽  
pp. 2600-2604 ◽  
Author(s):  
Chang Chun Ge ◽  
Xiao Feng Wu ◽  
Gui Ying Xu
Keyword(s):  
Thermoelectric Material ◽  
Thermoelectric Materials ◽  
Research Work ◽  
Research Direction ◽  
Research Field ◽  
Functionally Graded ◽  
Device Fabrication ◽  
Model Design ◽  
Materials Selection ◽  
Main Research

Functionally graded thermoelectric material (TE FGM) is one of main research direction in research field of thermoelectric (TE) materials all over world. A lot of research work on TE FGM has been done to improve the conversion efficiency of TE. Here the development of TE FGM in recent years is discussed in the aspects of the model design, the materials selection, the barrier or joining choice and the device fabrication.

scholarly journals Countermeasure Analysis on Internet Logistics

2018 ◽  
Vol 38 ◽  
pp. 01036 ◽  
Author(s):  
Shao Ying Teng ◽  
Xiao Jun Li ◽  
Zhi Zhao ◽  
Peng Lei Qin ◽  
Ya Ya Lu
Keyword(s):  
Industrial Revolution ◽  
Rapid Development ◽  
Internet Technology ◽  
The Internet ◽  
Logistics Industry ◽  
Existing Problems ◽  
New Business ◽  
Deep Integration ◽  
Intelligent Logistics ◽  
Further Development

The rapid development of Internet technology has caused a series of industrial revolution, which has provided strong impetus for economic development. The Internet + concept puts forward the deep integration between the Internet and traditional industries, which points out the direction for the development of various industries. For the logistics industry, "Internet +" provides a new way of transformation, and intelligent logistics, smart logistics and green logistics bring new business value to the logistics industry. This paper analyzes the current situation of the logistics industry in the context of Internet +, finds out the existing problems, and proposes corresponding solutions to provide the impetus for further development of the logistics industry.

scholarly journals Research Characteristics and Development Trend of Global Low-Carbon Power—Based on Bibliometric Analysis of 1983–2021

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4983
Author(s):  
Xin-Cheng Meng ◽  
Yeon-Ho Seong ◽  
Min-Kyu Lee
Keyword(s):  
Power Systems ◽  
Bibliometric Analysis ◽  
Carbon Dioxide Emissions ◽  
Development Trend ◽  
Developed Countries ◽  
The United States ◽  
Research Field ◽  
Low Carbon ◽  
Main Research ◽  
Number Of Publications

Achieving Net zero emissions is a common challenge facing all mankind. Low-carbon electricity has always been the main research field of global GHG emission control. The current article aims to use the bibliometric analysis to describe the characteristics and trends of low-carbon electricity publications from 1983 to 2021. We found that: (1) the number of publications in this area has shown an overall increase in the past 33 years. (2) the United States is the most powerful country in this field of research. Moreover, with the exception of major developed countries, more and more emerging economies have also joined the research on low-carbon power systems. (3) co-citation analysis and literature clustering characteristics show that the knowledge base in this field is focused on the decomposition of driving factors for carbon dioxide emissions and the optimization of the operation of renewable energy (RE) in low-carbon power systems. (4) the utilization of RE is a hot topic in low-carbon power research. Through this research, global scholars can be provided with the latest overview of valuable low-carbon energy research trends.

Study on the Construction of Teaching Resources Platform Based on Cloud Space

2014 ◽  
Vol 678 ◽  
pp. 663-665
Author(s):  
Bin Wen Huang ◽  
Yuan Jiao
Keyword(s):  
Cloud Computing ◽  
Rapid Development ◽  
Development Trend ◽  
Computing Technology ◽  
Teaching Resources ◽  
Existing Problems

With the rapid development of cloud computing technology and application, the construction of teaching resources platform based on cloud space has become a development trend and direction of the education informatization, this paper presents the existing problems in teaching resources platform and the ideas and methods about how to construct teaching resources platform based on cloud space

scholarly journals Knowledge Framework and Evolution of Fuzzy Portfolio Research: A Bibliometric Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Wei Zhou ◽  
Qinen Gu ◽  
Dongping Yu
Keyword(s):  
Operations Research ◽  
Development Trend ◽  
Research Area ◽  
Research Field ◽  
Investment Portfolio ◽  
Major Research ◽  
Excellent Performance ◽  
Knowledge Framework ◽  
University Of Technology ◽  
Research Hotspots

Recently, wide applications of fuzzy set theory have attracted the attention of both researchers and practitioners. Fuzzy portfolio develops as a new area in the research field of investment portfolio. This paper investigates the major research hotspots, development trend, and evolution of fuzzy portfolio, which provides a systematic review of the current fuzzy portfolio literature. CiteSpace, the most commonly used bibliometrics software, is used in this article. According to the 602 articles with 15132 references, several conclusions can be summarized as follows: (1) Fuzzy portfolio becomes increasingly interdisciplinary with the connections among “Computer Science” and so on. (2) Most contributive authors are Markowitz and Zadeh. (3) South China University of Technology makes excellent performance in this research area and China is the most influential country. (4) European Journal of Operations Research is the cradle of plenty of crucial fuzzy portfolio investigations. (5) We find some research hotspots helpful to make scientific predictions of future trends by analyzing the keywords. By utilizing the effective bibliometric methods, we provide a comprehensive analysis and deep insights into the fuzzy portfolio research, enabling the individuals, especially the new beginners who are interested in this area to learn fuzzy portfolio, which will be of great help for their future explorations.

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