scholarly journals Innovation Path of Leasing Trade under Smart Logistics Technology by Big Data Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yanan Song ◽  
Xiaolong Hua
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Electric Vehicles ◽  
Big Data Analysis ◽  
Experimental Results ◽  
Utilization Rate ◽  
The Internet ◽  
Modern Logistics ◽  
Productivity Level ◽  
Smart Logistics

With the continuous development of big data and the increasing maturity of e-commerce, people’s requirements for modern logistics are becoming increasingly diversified. Conventional modern logistics service level is insufficient to meet the needs of consumers. Therefore, research on the innovative path of big data analysis of leasing trade under smart logistics technology is increasingly important. Smart logistics pays much attention to the integration of the Internet of Things, sensor networks, and the existing internet and realizes the automation, visualization, controllability, intelligence, and networking of logistics through sophisticated, dynamic, and scientific management, thereby improving resource utilization rate and productivity level, creating a more comprehensive connotation of social value. This work aimed to study the use of smart logistics technology to make electric car leasing to a higher level and to innovate the promotion and use mode of leasing trade. A shared business model of electric vehicles was proposed based on the internet and smart logistics technology. The experimental results showed that smart logistics technology contributes to exploring and expanding the role of electric vehicles in solving group users’ short-distance travel and improving an urban transportation system. It could offer a basis for nationwide promotion, thus promoting the development of the new energy vehicle industry and testing the practicability of the model. Regarding the improvement of the sample information system, the experimental results showed that the user’s full satisfaction is approximately 50%, while there remain the customers who would ask for further improvements. Besides, most customers believe that the accuracy and sensitivity of the existing in-vehicle information display need to be enhanced.

scholarly journals Information Visualization from the Perspective of Big Data Analysis and Fusion

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xiang Lin
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Information Visualization ◽  
Big Data Analysis ◽  
Experimental Results ◽  
Data Sources ◽  
Visualization Technique ◽  
Data Volume ◽  
Data Environment ◽  
Information Association

In the big data environment, the visualization technique has been increasingly adopted to mine the data on library and information (L&I), with the diversification of data sources and the growth of data volume. The previous research into the information association of L&I visualization network rarely tries to construct such a network or explore the information association of the network. To overcome these defects, this paper explores the visualization of L&I from the perspective of big data analysis and fusion. Firstly, the authors analyzed the topology of the L&I visualization network and calculated the metrics for the construction of L&I visualization topology map. Next, the importance of meta-paths of the L&I visualization network was calculated. Finally, a complex big data L&I visualization network was established, and the associations between information nodes were analyzed in detail. Experimental results verify the effectiveness of the proposed algorithm.

scholarly journals IoT-Fog-Cloud system architecture for big data analysis and cybersecurity systems: a review of fog computing, the introduction to the Internet of Things audit

2020 ◽  
Author(s):  
D. R. Kolisnyk ◽  
◽  
K. S. Misevych ◽  
S. V. Kovalenko
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Internet Of Things ◽  
System Architecture ◽  
Fog Computing ◽  
Big Data Analysis ◽  
Future Research ◽  
The Internet ◽  
Security Issues ◽  
The Internet Of Things

The article considers the issues of system architecture IoT-Fog-Cloud, considers the interaction between the three levels of IoT, Fog and Cloud for the effective implementation of programs for big data analysis and cybersecurity. The article also discusses security issues, solutions and directions for future research in the field of the Internet of Things and nebulous computing.

scholarly journals Information Security Terminal Architecture of Power Transportation Mobile Internet of Things Based on Big Data Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Xianzhi Tang ◽  
Chunyan Ding
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Information Security ◽  
Internet Of Things ◽  
Power System ◽  
Big Data Analysis ◽  
The Internet ◽  
Mobile Information ◽  
Internet Of Things Technology ◽  
The Internet Of Things

The progress of the social economy and the rapid development of the power field have created more favorable conditions for the construction of my country’s power grid. In this network age, how to further realize the connection between the power system and the Internet of Things is the key content of many scholars’ research. In the Internet of Things environment, there have been many excellent results in the collection, storage, and management of electric power big data, but the problem of information security has not been completely solved. Based on big data analysis and Internet of Things technology, this paper studies the architecture design of power information security terminals. In view of the diverse types of power grid mobile information and the large amount of data, this paper designs a power transportation mobile information security management system structure, which improves the effective management of power data by the system through big data, smart sensors, and wireless communication technology. According to the experiment, the power information security terminal constructed in this paper can effectively reduce communication resources and save communication costs in the process of aggregating multidimensional data. In the user satisfaction survey, residents’ satisfaction with the convenience and safety of the intelligent power system is also as high as 9.312 and 9.233. On the whole, the application of big data and Internet of Things technology to the construction of power information security terminals can indeed improve the service efficiency of power companies under the premise of ensuring safety and allow users to have a better experience.

scholarly journals Networkmetrics: multivariate big data analysis in the context of the internet

2016 ◽  
Vol 30 (9) ◽  
pp. 488-505 ◽  
Author(s):  
José Camacho ◽  
Roberto Magán-Carrión ◽  
Pedro García-Teodoro ◽  
James J. Treinen
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Big Data Analysis ◽  
The Internet

scholarly journals Schedulable capacity forecasting for electric vehicles based on big data analysis

2019 ◽  
Vol 7 (6) ◽  
pp. 1651-1662
Author(s):  
Meiqin MAO ◽  
Shengliang ZHANG ◽  
Liuchen CHANG ◽  
Nikos D. HATZIARGYRIOU
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Electric Vehicles ◽  
Big Data Analysis

Fault and defect diagnosis of battery for electric vehicles based on big data analysis methods

2017 ◽  
Vol 207 ◽  
pp. 354-362 ◽  
Author(s):  
Yang Zhao ◽  
Peng Liu ◽  
Zhenpo Wang ◽  
Lei Zhang ◽  
Jichao Hong
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Electric Vehicles ◽  
Big Data Analysis ◽  
Analysis Methods ◽  
Defect Diagnosis ◽  
Data Analysis Methods
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