scholarly journals Patent analysis in the 5G network

2021 ◽  
Vol 29 (6) ◽  
pp. 0-0
Keyword(s):  
Hot Spots ◽  
Citation Network ◽  
Development Trend ◽  
The United States ◽  
Patent Analysis ◽  
Patent Data ◽  
Index Analysis ◽  
Critical Nodes ◽  
5G Network ◽  
Overview Analysis

In recent years, 5G has been the focus of research and development in the telecom industry. This paper aims to understand the development trend and technical hot spots of 5G technology through the patent analysis and build a citation network at the assignee organization level. The workflow of the paper is divided into four steps: patent data collection and cleaning, patent overview analysis, network creation and analysis, O-I index analysis. This article collected the patent data from the United States patent and trademark office (USPTO). We understand the application trend, technical hot spots, and leading players in the 5G domain through the patent overview analysis. We comprehend the structure and characteristics of the network and critical nodes from network topology analysis. By using O-I index analysis, we learn the flow of 5G technology knowledge between the organizations. This paper provides a useful analytical model for the patent analysis and technological knowledge flow in a specific field, which can be applied to patent analysis in other fields.

scholarly journals Patent Analysis in the 5G Network

2021 ◽  
Vol 29 (6) ◽  
pp. 1-28
Author(s):  
Hui Eva Zhang ◽  
Kok Hoe Wong ◽  
Victor Chang
Keyword(s):  
Hot Spots ◽  
Citation Network ◽  
Development Trend ◽  
The United States ◽  
Patent Analysis ◽  
Patent Data ◽  
Index Analysis ◽  
Critical Nodes ◽  
5G Network ◽  
Overview Analysis

In recent years, 5G has been the focus of research and development in the telecom industry. This paper aims to understand the development trend and technical hot spots of 5G technology through the patent analysis and build a citation network at the assignee organization level. The workflow of the paper is divided into four steps: patent data collection and cleaning, patent overview analysis, network creation and analysis, O-I index analysis. This article collected the patent data from the United States patent and trademark office (USPTO). We understand the application trend, technical hot spots, and leading players in the 5G domain through the patent overview analysis. We comprehend the structure and characteristics of the network and critical nodes from network topology analysis. By using O-I index analysis, we learn the flow of 5G technology knowledge between the organizations. This paper provides a useful analytical model for the patent analysis and technological knowledge flow in a specific field, which can be applied to patent analysis in other fields.

scholarly journals TEXT MINING-BASED PATENT ANALYSIS OF BIM APPLICATION IN CONSTRUCTION

2021 ◽  
Vol 27 (5) ◽  
pp. 303-315
Author(s):  
Xing Pan ◽  
Botao Zhong ◽  
Xiaobo Wang ◽  
Ran Xiang
Keyword(s):  
Network Analysis ◽  
Text Mining ◽  
Latent Dirichlet Allocation ◽  
Technological Development ◽  
Quantitative Characteristic ◽  
Citation Network ◽  
Development Trend ◽  
Patent Analysis ◽  
Information Modeling ◽  
Characteristic Analysis

As a data tool applicable to the full life-cycle of construction engineering and management, Building Information Modeling (BIM) has great potential for significantly increasing project productivity and performance. Awareness of BIM application hotspots and forecasting its trends can drive innovations in construction field. Using patents as data resources, this study develops an effective framework integrating the citation network analysis and the topic clustering technology to identify BIM application information and forecast its trends. This framework comprises three-step analysis:(1) quantitative characteristic analysis of patent outputs; (2) Social Network Analysis (SNA)-based co-occurrence network analysis; and (3) identification of BIM topics using a Latent Dirichlet Allocation (LDA). Finally, the case demonstrates the effectiveness of this framework contributing to promote technological development and innovation of BIM. The contributions of this study are threefold: (1) an innovative text mining-based framework for BIM patent analysis in construction is developed; (2) patents that have focused on identifying the application hotspots and development trend of BIM in accordance with our developed framework are reviewed; and (3) a signpost for technological development and innovation of BIM is provided.

Can increases in Twitter posts predict increases in cumulative incidence of COVID-19 in the United States? Evidence that social media can inform epidemic surveillance. (Preprint)

2020 ◽  
Author(s):  
Ruoyan Sun ◽  
Henna Budhwani
Keyword(s):  
Public Health ◽  
United States ◽  
Cumulative Incidence ◽  
Hot Spots ◽  
Adult Population ◽  
State Level ◽  
The United States ◽  
Education Attainment ◽  
Public Health Systems ◽  
Per Capita

BACKGROUND Though public health systems are responding rapidly to the COVID-19 pandemic, outcomes from publicly available, crowd-sourced big data may assist in helping to identify hot spots, prioritize equipment allocation and staffing, while also informing health policy related to “shelter in place” and social distancing recommendations. OBJECTIVE To assess if the rising state-level prevalence of COVID-19 related posts on Twitter (tweets) is predictive of state-level cumulative COVID-19 incidence after controlling for socio-economic characteristics. METHODS We identified extracted COVID-19 related tweets from January 21st to March 7th (2020) across all 50 states (N = 7,427,057). Tweets were combined with state-level characteristics and confirmed COVID-19 cases to determine the association between public commentary and cumulative incidence. RESULTS The cumulative incidence of COVID-19 cases varied significantly across states. Ratio of tweet increase (p=0.03), number of physicians per 1,000 population (p=0.01), education attainment (p=0.006), income per capita (p = 0.002), and percentage of adult population (p=0.003) were positively associated with cumulative incidence. Ratio of tweet increase was significantly associated with the logarithmic of cumulative incidence (p=0.06) with a coefficient of 0.26. CONCLUSIONS An increase in the prevalence of state-level tweets was predictive of an increase in COVID-19 diagnoses, providing evidence that Twitter can be a valuable surveillance tool for public health.

Pig breeding development and analysis of the modern pork market in Russia

2021 ◽  
Vol 1 (7) ◽  
pp. 51-57
Author(s):  
S. Yu. Zaytsev ◽  
◽  
N. V. Bogolyubova ◽  
Keyword(s):  
Live Weight ◽  
Development Trend ◽  
The United States ◽  
Meat Production ◽  
Positive Trend ◽  
The European Union ◽  
Livestock Farming ◽  
Pork Production ◽  
Investment Projects ◽  
Total Meat

Pig breeding is one of the key areas for the development of livestock meat production both in Russia and in the world. According to forecasts of various agro-industrial companies and information and analytical agencies, by the end of 2020, pork production was predicted to grow similar to that in 2019, which was 5,1% (or more than 192,6 thousand tons, in slaughter weight, compared to 2018). This would represent more than a third of the total meat production in Russia, which was estimated at 11,04–11,22 million tons (as compared to 10,9 million tons in 2019). According to preliminary data from the Ministry of Agriculture of the Russian Federation (dated February 4, 2021), pork production increased "at 8.9% by 2019, which in live weight is +446 thousand tons", while the total meat production in Russia in 2020 reached 15,6 million tons, an increase of 3,1% (+472 thousand tons) more than in 2019. These indicators significantly exceed the forecasts indicated above, which is associated with the implementation of investment projects (primarily with state participation) in this direction and "expansion of export opportunities for Russian suppliers" in 2020. Despite the sanctions, coronavirus and other global challenges to the Russian economy, pork has been the "main driver" for the growth of meat production in Russia in recent years. Now our country is on the 4th line in the ranking according to the pig numbers (46.5 million heads in 2019) after China, the European Union and the United States of America. Agricultural enterprises in Russia account for 83,4% of pigs, 14,6% – on personal subsidiary plots, 2,0% – on farms. According to experts, the long-term development trend is an increase in the number of pigs in 5 years by 27,7%, in 10 years – by 36,1%, and the annual increase in pork production is planned at about 5%. Thus, in recent years, pork production has determined a positive trend in all domestic livestock farming in terms of the volume and quality of meat produced in Russia.

scholarly journals Research progress of analysis method of slope stability combined with hot spots

2020 ◽  
Vol 198 ◽  
pp. 02008
Author(s):  
XIE Qiao ◽  
ZHANG Jia-sheng ◽  
Wang Xuan
Keyword(s):  
Slope Stability ◽  
Hot Spots ◽  
Development Trend ◽  
Research Progress ◽  
Analysis Methods ◽  
Scope Of Application ◽  
The Times ◽  
The Development Trend ◽  
Selection Of

The analysis methods and theories of slope stability are constantly improving and developing, and more methods in line with the development characteristics of the times have been put forward by scholars at home and abroad. Combined with the latest research hot spots in the direction of analysis methods of slope stability in the world, the analysis methods of slope stability are systematically classified and summarized; The principles, characteristics, scope of application of various methods are summarized; The development trend of slope stability analysis is comprehensively analyzed from various aspects. It provides the follow-up scholars with the research of new methods. It can provide reference for the selection of evaluation methods of practical slope engineering stability.

scholarly journals Research on the International Development Trend of Big Data and Digital Economy and Its Reference to China

2021 ◽  
Vol 233 ◽  
pp. 01171
Author(s):  
ZHANG Tao ◽  
WU Zai-Qun ◽  
ZHENG Xiao-Yu
Keyword(s):  
Big Data ◽  
International Development ◽  
Development Trend ◽  
The United States ◽  
International Perspective ◽  
Digital Economy ◽  
Value Assessment ◽  
The European Union ◽  
Development Mode ◽  
Global Economic Growth

With the wide application and development of big data, digital economy has become the innovation power of global economic growth and has an important impact on the development of global social and economic cooperation. From an international perspective, this paper analyzes the development trend and achievements of the United States, the European Union and important international organizations in the field of digital economy. On this basis, this paper analyzes the current situation and challenges of the development of China's digital economy, and puts forward suggestions and measures to promote the development of China's digital economy in view of the digital gap, value assessment, development mode, talent training.

scholarly journals A Study on the Development Trends of the Energy System with Blockchain Technology Using Patent Analysis

2020 ◽  
Vol 12 (5) ◽  
pp. 2005
Author(s):  
Lin-Yun Huang ◽  
Jian-Feng Cai ◽  
Tien-Chen Lee ◽  
Min-Hang Weng
Keyword(s):  
Patent Application ◽  
Computer Software ◽  
Growth Period ◽  
Energy System ◽  
The United States ◽  
Patent Analysis ◽  
Innovative Technology ◽  
Development Trends ◽  
Blockchain Technology ◽  
Patent Applications

Recently, the application of blockchain to the setting, management, and trading of the energy system has formed an innovative technology and has attracted a lot of attention from industry, academia, and research. In this study, we use patent analysis technology to explore the development trends of the energy system with blockchain technology. During the patent analysis process, this study makes corresponding analysis charts, such as patent application numbers over time, patent application numbers for main leading countries, applicants, patent citations, international patent classification (IPC), and life cycle. Relative research and design (R&D) capability of the top ten applicants is estimated and the cluster map of the technology is obtained. The technical features of the top five IPC patent applications are related to the cluster map to show the development of energy blockchain technology. Through this paper, first, the basics of the blockchain and patent analysis are illustrated and, moreover, the reason why and how blockchain technology can be combined with the energy system is also briefly described and analyzed. The results of the patent analysis of energy blockchain technology indicate that the United States leads the way, accounting for more than half of the global total. It is also interesting to note that the participants are not from traditional specific fields, but included electric power manufacturers, computer software companies, e-commerce companies, and even many new companies devoted to blockchain technology. Walmart Apollo, LLC and International Business Machines Corporation (IBM) have the highest number of patent applications. However, Walmart Apollo, LLC ranks first with a greater number of inventors of 36, an activity year of 2 years, and a relative R&D capability of 100%. IBM ranks second with an activity year of 3 years and a research and development capability of 91%. Among various applicants, IBM and LO3 energy started earlier in this field, and their patent output is also more prominent. The IPC is mainly concentrated in G06Q 50/06, which belongs to the technical field of the setting and management of the energy system including electricity, gas, or water supply. Currently, most projects are in the early development stages, and research on key areas is still ongoing to improve the required scalability, decentralization, and security. Thus, energy blockchain technology is still in the growth period, and there is still considerable room for development of the patent in the later period. Moreover, it is suggested that the novel communication module such as the combination of the consortium blockchain and the private blockchain cold also provide their own advantages to achieve the purpose of improving system performance and efficiency.

Sign in / Sign up

Export Citation Format

Share Document