scholarly journals Smart City Rail Automatic Fare Collection System Under the Background of Big Data

2022 ◽  
Vol 2146 (1) ◽  
pp. 012013
Author(s):  
Shurun Xie
Keyword(s):  
Big Data ◽  
Smart City ◽  
System Development ◽  
Rapid Development ◽  
Response Speed ◽  
Fast Response ◽  
Internet Technology ◽  
Collection System ◽  
Human Material ◽  
Low Efficiency

Abstract With the rapid development of Internet technology, the process of urban construction is accelerating and the level of urbanization is further improved. In the smart city rail automatic fare collection system, there are a large number of data information and data that need to be processed manually. The traditional manual method not only consumes human, material and financial resources, but also has low efficiency. Therefore, this paper proposes a smart city rail automatic fare collection system based on big data design. Firstly, this paper expounds the concept of smart city rail transit and studies the function of automatic fare collection system. Then it studies the definition and characteristics of big data, designs the method of system development, and tests the performance of the system. The test results show that the system runs smoothly, accounts for a relatively small amount of memory, has a fast response speed and low delay. Most passengers are satisfied with the system.

scholarly journals Innovation Mode and Optimization Strategy of B2C E-Commerce Logistics Distribution under Big Data

2020 ◽  
Vol 12 (8) ◽  
pp. 3381
Author(s):  
Yingyan Zhao ◽  
Yihong Zhou ◽  
Wu Deng
Keyword(s):  
Big Data ◽  
Business Processes ◽  
Rapid Development ◽  
Influence Factors ◽  
Route Optimization ◽  
Internet Technology ◽  
Optimization Strategy ◽  
Logistics Distribution ◽  
Low Efficiency ◽  
Distribution Efficiency

With the advent of big data era and rapid development of Internet technology, e-commerce has had a strong development tendency that causes many problems, such as redundant and complex business processes, low efficiency and a high cost for e-commerce logistics in the distribution sector. It is not difficult to conclude that the key to improving logistics distribution efficiency—and reduce logistics distribution costs—is to optimize logistics distribution under big data. In this study, the management model, influence factors and development status of B2C e-commerce logistics distribution under big data are analyzed in detail. Then big data processing, business process and route optimization strategies for B2C e-commerce logistics distribution under big data are deeply studied. Furthermore, an optimization model of product sales and logistics distribution of B2C e-commerce by big data platform is discussed in order to propose an innovative optimization strategy for B2C e-commerce logistics distribution under big data. Big data technology is applied in B2C e-commerce logistics business management, which is studied in detail. These findings achieve the optimal distribution of B2C e-commerce, reduce the B2C e-commerce logistics distribution cost and improve the B2C e-commerce logistics distribution efficiency under big data. In addition, enhanced competitiveness of B2C e-commerce logistics distribution is examined in this study. This study provides a reference for follow-up big data studies in the field of e-commerce.

Research on Database Schema Comparison of Relational Databases and Key-Value Stores

2014 ◽  
Vol 1049-1050 ◽  
pp. 1860-1863
Author(s):  
Peng Zhou ◽  
Mei Li ◽  
Jing Huang ◽  
Hua Fang
Keyword(s):  
Big Data ◽  
Relational Databases ◽  
Efficient Solution ◽  
Rapid Development ◽  
Internet Technology ◽  
Database Schema ◽  
Typical Application ◽  
Existing Problems ◽  
Management Capacity ◽  
High Scalability

With the rapid development of Internet technology, the management capacity of traditional relational databases becomes relatively inefficient when facing the access and processing of big data. As a kind of non-relational databases, the key-value stores, with its high scalability, provide an efficient solution to the problem. This article introduces the concept and features of Key-Value stores, and followed by the comparison with the traditional relational databases, and an example is illustrated to explain its typical application and finally the existing problems of Key-Value stores are summarized.

scholarly journals Discussion on Remote Sensing Big Data to Promote the Development of Smart City

2020 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Ying Jiang ◽  
Jian Yin ◽  
Libin Zha
Keyword(s):  
Remote Sensing ◽  
Big Data ◽  
Smart City ◽  
Urban Traffic ◽  
Internet Technology ◽  
Long Distance ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Internet Of Things Technology ◽  
Big Data Technology

<p>With the development and application of Internet technology, cloud computing, big data technology, Internet of things technology and other new generation information technology, smart city has gradually become the focus of global urban development. Remote sensing technology big data is the combination of remote sensing technology and big data technology. Remote sensing technology has the characteristics of long-distance, non-contact detection and wide coverage. And the data information collected by remote sensing equipment is analyzed by using big data technology to improve the application value of remote sensing technology. This paper first describes the characteristics of remote sensing big data and the connotation of smart city, and that the remote sensing big data technology can promote the intelligent supervision of urban pollution, urban planning, urban traffic intelligent response, and construction more reasonable and humanized, then it can help realize the development of urban traffic intelligent.</p>

Improving the performance of precision poverty alleviation based on big data mining and machine learning

2020 ◽  
pp. 1-12
Author(s):  
Lejie Wang
Keyword(s):  
Machine Learning ◽  
Economic Growth ◽  
Big Data ◽  
Low Income ◽  
Large Scale ◽  
Rapid Development ◽  
Machine Learning Algorithms ◽  
Internet Technology ◽  
Rapid Economic Growth ◽  
Causes Of Poverty

Since the reform began in our country, with the rapid economic growth in recent years, the income level has grown extremely unequal, and it is difficult for the low-income poor to benefit from the rapid economic growth. The most important prerequisite for the fight against poverty is the accurate identification of the causes of poverty. To date, our country has not reached the level of maturity required to accurately study the causes of poverty in various households. However, with the rapid development of Internet technology and big data technology in recent years, the application of large-scale data technology and data extraction algorithms to poverty reduction can identify truly poor households faster and more accurately. Compared with traditional machine learning algorithms, there are no machine storage and technical constraints, can use a large amount of data and rely on multiple data samples.

SMART CITY: OPPORTUNITIES AND CHALLENGES IN PUBLIC SERVICES AND ITS RELATION TO THE PROTECTION OF RIGHTS AND PRIVACY IN BIG-DATA ERA

2018 ◽  
Vol 2 (2) ◽  
pp. 116
Author(s):  
Kukuh Tejomurti ◽  
Padma Widyantari
Keyword(s):  
Big Data ◽  
Public Service ◽  
Smart City ◽  
National Level ◽  
Personal Data ◽  
Internet Technology ◽  
Public Security ◽  
Privacy By Design ◽  
Traffic Jam ◽  
The Government

<p>This article investigates <em>Smart City</em> program with the utilization of internet technology that government assumes as means to solve problems every city encounters, such as traffic jam, retribution, public security, and trash dumping. To provide public service, <em>Smart City</em> collects and manages personal data information of citizens from the intended city and puts it into a Big Data base. This program with <em>Big Data</em> technology has been successful addressing problems in cities. On the other hand, a consequence on how to protect public’s electronic-based personal data should be taken into account as well. Collecting, Processing, and Saving Information of public personal data may carry on particular risk, including violation on individual’s rights and privacy, when it is not well managed and set under a very clear policy, especially when its <em>big data </em>server is outside the territory of Indonesia. In general conclusion, the government needs to enact a regulation in constitutional and national level and/or regional regulation which specifically sets on how to prevent the misuse of electronic-based personal data and what law that regulates any violation against individual rights and privacy, as well as a regulation called <em>privacy by design</em>.</p>

scholarly journals RESEARCH ON BEHAVIORAL MOTIVATION INFERENCE METHOD FOR GEOGRAPHICAL SPATIOTEMPORAL LARGE DATA

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 725-729
Author(s):  
J. W. Li ◽  
W. D. Chen ◽  
Y. Ma ◽  
N. Yu ◽  
X. Li ◽  
...  
Keyword(s):  
Big Data ◽  
Association Rules ◽  
User Behavior ◽  
Rapid Development ◽  
Frequent Itemsets ◽  
Internet Technology ◽  
Personalized Recommendation ◽  
User Interest ◽  
Geographic Context ◽  
Spatio Temporal

Abstract. Along with the rapid development of Internet technology, GNSS technology and mobile terminals, a large amount of information including geographical location and time attributes has been generated. Faced with large and complex Internet geospatial data, how to quickly and accurately extract valuable reference information becomes an urgent problem to be solved. And the user's demand for personalized information of recommendation information is getting stronger and stronger, and researching efficient and accurate personalized recommendation system has good application value. In this paper, based on the application requirements of personalized recommendation information, the GIS platform and related recommendation algorithms are used to fully exploit the user and location based on geographic space-time big dataIt is divided into user explicit interest and user implicit interest, and then establishes a scientific and efficient user behavior motivation prediction model based on geographic situation. User interest information can be obtained from explicit interest information, implicit interest information and geographic situation interest information. Geographical environment, geographic location and other related context information. By introducing time factors, it is used to update and improve the user real-time interest model to achieve accurate prediction of user behavior motives under geographic spatio-temporal big data. Use Apriori algorithm to calculate the support and determine the current Frequent itemsets of user interest in geographic context, using frequent itemsets to generate strong association rules, and realizing the analysis of user behavior motives based on geography context. For geographic spatio-temporal big data, this paper proposes a personalized hybrid recommendation algorithm, which is based on users. Effective combination of collaborative filtering algorithms and association rules for geographic context-user behavioral interest adaptation.

scholarly journals Application Strategy of Big Data Processing Technology in Intelligent Transportation

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Yaohua Xie ◽  
Xin Zhou
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Traffic Management ◽  
Traffic Accidents ◽  
Rapid Development ◽  
Intelligent Transportation ◽  
Processing Technology ◽  
Internet Technology ◽  
Big Data Processing ◽  
Artificial Intelligence Technology

With the rapid development of China’s society and economy, the process of urbanization has been accelerated, and the transportation system has become more complicated, especially the frequent occurrence of traffic accidents, traffic congestions, and environmental pollution. In the context of the rapid development of Internet technology, digital technology, artificial intelligence technology, etc. We apply them to traffic management as effective ways to improve China’s traffic operation management. Based on big data processing technology, this paper discusses its application strategy in intelligent transportation, in hope of serving as a reference.

scholarly journals A Refection on Digitalized Creation of Chinese Internet Big Movies in the Context of Internet

2021 ◽  
Vol 2 (4) ◽  
Author(s):  
Liang Lei ◽  
Kunhao Ni ◽  
Ying Cui
Keyword(s):  
Big Data ◽  
Rapid Development ◽  
Internet Technology ◽  
Production Model ◽  
The Internet ◽  
Artistic Creation ◽  
Chinese Film ◽  
Big Data Technologies ◽  
New Type ◽  
New Phenomena

The 21st century is the era of the Internet, where movies see new vitality in artistic creation under the concept of the Internet+. Internet Big movies, a new type of films born with the advancement of Internet technology, have seen rapid development in less than a decade, having gradually established a mature production model. This paper provides reflection and analysis on the new phenomena in Chinese film production that involve numerous applications of big data technologies.

Smart city community governance based on blockchain big data platform

2021 ◽  
pp. 1-7
Author(s):  
Chunchun Chen ◽  
Xuhui Peng ◽  
Yaning Li ◽  
Wendong Xiao ◽  
Rui Zhao
Keyword(s):  
Big Data ◽  
Smart City ◽  
Rapid Development ◽  
Consensus Algorithm ◽  
Community Governance ◽  
City Community ◽  
Governance Model ◽  
Data Platform ◽  
Smart Community ◽  
Smart Communities

In many fields of today’s society, the value that blockchain big data can bring has attracted more and more people’s attention. Due to people’s concerns, the rapid development of blockchain big data-related technologies, and their extensive application in national strategic guidelines, academic exploration, and life production, many countries now include the development of big data in their national blueprint plans for the future. China’s progress in big data is obvious to everyone, and it plays an important role in exploring the construction and governance of smart city communities. This article explores the research of smart city community governance based on the blockchain big data platform. Through analyzing the role of the blockchain big data platform, using the PBFT blockchain consensus algorithm, technology method, smart community governance model, etc., we try to provide community development suggestions, to further explore community governance innovation from the perspective of smart communities, which will provide new ideas for innovative social governance methods and help improve social service skills as a whole. The experimental results of this paper show that 77%of smart community management is still in its infancy, but smart city community governance based on the blockchain big data platform promotes smart communities to better serve residents and promotes the widespread and effective promotion of distinctive community governance models.

Research on Intelligent City Talent Information Fusion Management and Talent Training System Optimization Based on Data Mining

2021 ◽  
Vol 7 (5) ◽  
pp. 2045-2054
Author(s):  
Zheng Feng
Keyword(s):  
Big Data ◽  
Information Fusion ◽  
Resource Sharing ◽  
Smart City ◽  
Social Life ◽  
System Optimization ◽  
Training System ◽  
Internet Technology ◽  
Intelligent City ◽  
City Construction

Objectives: Smart city is the product of a new round of information technology reform and the further development of knowledge economy. It is a manifestation of the deep integration of industrialization, urbanization and informatization and the progress towards a higher stage. The standardization of smart city construction must be combined with the reality of smart city construction and carry out the standardization work pertinently. Intelligent city construction is accelerating step by step. Internet technology, mobile communication technology and intelligent terminals are combined to infiltrate into all areas of social life. This paper makes full use of the concepts and technological achievements of smart city construction. From the aspects of data regulation and results building, conflict detection and contradiction coordination, results management and resource sharing. Research on the construction of multi-information information fusion visualization system for sharing, unified, efficient and dynamic updating. The open big data teaching mode is used to conduct theoretical study and practical exercises online. Let learners master the necessary knowledge and skills as soon as possible, and provide sufficient and excellent big data talents for enterprises in a timely manner.

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