Exploration and Construction of Smart Library Based on RFID Technology

2013 ◽  
Vol 765-767 ◽  
pp. 1743-1746 ◽  
Author(s):  
Yong Cheng Luo ◽  
Jing Jing Cao ◽  
Jing Fang Qian
Keyword(s):  
Data Processing ◽  
System Architecture ◽  
Privacy Protection ◽  
Large Data ◽  
Cloud Services ◽  
Basic System ◽  
Rfid Technology ◽  
Application Layer ◽  
Processing Technologies ◽  
University Library

This paper analyzes the basic system architecture of smart library based on RFID technology, which is composed of perception layer, network layer and application layer. It further explores the cloud services and large data processing technologies. According to the experience in the construction of Donghua University Library, we propose some problems which should be paid attention in the implementation and construction of university library, such as the construction of librarians, privacy protection and standardization.

Optimization and Management in Order to Drive Targeted Networking Memory Database

2015 ◽  
Vol 727-728 ◽  
pp. 965-968
Author(s):  
Ji Liu
Keyword(s):  
Cloud Computing ◽  
Wireless Communication ◽  
Data Processing ◽  
Real Time ◽  
System Architecture ◽  
Large Data ◽  
Processing Efficiency ◽  
Computing Platform ◽  
Cloud Computing Platform ◽  
Vehicle Networking

In today's vehicle networking system architecture is mainly composed of four parts: sensor networks, wireless communication networks, cloud computing platforms and vehicle terminal. Wireless sensor network is responsible for the front of the real-time collection of traffic information, a wireless communication network to send information to the backend of the cloud computing platform, cloud computing platform to handle a large number of vehicles to collect real-time information from the front, and finally sends the information to the end user. In this thesis, this car networking research background, analyze vehicle networking system architecture consisting of performance indicators for each part of the system recognize cloud platform for large data processing efficiency as well as room for improvement. Then put forward the traditional computing platform I / O disk database with in-memory database to replace the cloud to enhance cloud computing platform for large data processing efficiency.

Structuring and visualization of indicators in multidimensional data cubes

2018 ◽  
pp. 79-87
Author(s):  
E. E. Akimkina
Keyword(s):  
Decision Making ◽  
Data Processing ◽  
Data Management ◽  
Multidimensional Data ◽  
End User ◽  
Processing Technologies ◽  
Data Cubes ◽  
Multidimensional Visualization ◽  
Multidimensional Data Cubes ◽  
Practical Recommendations

The problems of structuring of indicators in multidimensional data cubes with their subsequent processing with the help of end-user tools providing multidimensional visualization and data management are analyzed; the possibilities of multidimensional data processing technologies for managing and supporting decision making at a design and technological enterprise are shown; practical recommendations on the use of domestic computer environments for the structuring and visualization of multidimensional data cubes are given.

scholarly journals Networking for Cloud Robotics: The DewROS Platform and Its Application

2021 ◽  
Vol 10 (2) ◽  
pp. 34
Author(s):  
Alessio Botta ◽  
Jonathan Cacace ◽  
Riccardo De Vivo ◽  
Bruno Siciliano ◽  
Giorgio Ventre
Keyword(s):  
Response Time ◽  
Large Data ◽  
Cloud Services ◽  
Cloud Provider ◽  
Human Beings ◽  
Minimal Impact ◽  
Network Connection ◽  
Cloud Robotics ◽  
Networking Technologies ◽  
The Impact

With the advances in networking technologies, robots can use the almost unlimited resources of large data centers, overcoming the severe limitations imposed by onboard resources: this is the vision of Cloud Robotics. In this context, we present DewROS, a framework based on the Robot Operating System (ROS) which embodies the three-layer, Dew-Robotics architecture, where computation and storage can be distributed among the robot, the network devices close to it, and the Cloud. After presenting the design and implementation of DewROS, we show its application in a real use-case called SHERPA, which foresees a mixed ground and aerial robotic platform for search and rescue in an alpine environment. We used DewROS to analyze the video acquired by the drones in the Cloud and quickly spot signs of human beings in danger. We perform a wide experimental evaluation using different network technologies and Cloud services from Google and Amazon. We evaluated the impact of several variables on the performance of the system. Our results show that, for example, the video length has a minimal impact on the response time with respect to the video size. In addition, we show that the response time depends on the Round Trip Time (RTT) of the network connection when the video is already loaded into the Cloud provider side. Finally, we present a model of the annotation time that considers the RTT of the connection used to reach the Cloud, discussing results and insights into how to improve current Cloud Robotics applications.

BIG DATA PROCESSING IN THE DIGITALIZATION OF ENTERPRISE ACTIVITIES

2021 ◽  
Vol 75 (3) ◽  
pp. 76-82
Author(s):  
G.T. Balakayeva ◽  
◽  
D.K. Darkenbayev ◽  
M. Turdaliyev ◽  
◽  
...  
Keyword(s):  
Social Networks ◽  
Growth Rate ◽  
Big Data ◽  
Data Processing ◽  
New Technologies ◽  
Large Data ◽  
Modern Society ◽  
Information Flows ◽  
Professional Activities ◽  
The Past

The growth rate of these enterprises has increased significantly in the last decade. Research has shown that over the past two decades, the amount of data has increased approximately tenfold every two years - this exceeded Moore's Law, which doubles the power of processors. About thirty thousand gigabytes of data are accumulated every second, and their processing requires an increase in the efficiency of data processing. Uploading videos, photos and letters from users on social networks leads to the accumulation of a large amount of data, including unstructured ones. This leads to the need for enterprises to work with big data of different formats, which must be prepared in a certain way for further work in order to obtain the results of modeling and calculations. In connection with the above, the research carried out in the article on processing and storing large data of an enterprise, developing a model and algorithms, as well as using new technologies is relevant. Undoubtedly, every year the information flows of enterprises will increase and in this regard, it is important to solve the issues of storing and processing large amounts of data. The relevance of the article is due to the growing digitalization, the increasing transition to professional activities online in many areas of modern society. The article provides a detailed analysis and research of these new technologies.

Software-defined data protection

2021 ◽  
Vol 14 (7) ◽  
pp. 1167-1174
Author(s):  
Zsolt István ◽  
Soujanya Ponnapalli ◽  
Vijay Chidambaram
Keyword(s):  
Data Processing ◽  
Data Protection ◽  
Distributed Storage ◽  
Hardware Design ◽  
Large Data ◽  
Hardware Interface ◽  
Future Data ◽  
Specialized Hardware

Most modern data processing pipelines run on top of a distributed storage layer, and securing the whole system, and the storage layer in particular, against accidental or malicious misuse is crucial to ensuring compliance to rules and regulations. Enforcing data protection and privacy rules, however, stands at odds with the requirement to achieve higher and higher access bandwidths and processing rates in large data processing pipelines. In this work we describe our proposal for the path forward that reconciles the two goals. We call our approach "Software-Defined Data Protection" (SDP). Its premise is simple, yet powerful: decoupling often changing policies from request-level enforcement allows distributed smart storage nodes to implement the latter at line-rate. Existing and future data protection frameworks can be translated to the same hardware interface which allows storage nodes to offload enforcement efficiently both for company-specific rules and regulations, such as GDPR or CCPA. While SDP is a promising approach, there are several remaining challenges to making this vision reality. As we explain in the paper, overcoming these will require collaboration across several domains, including security, databases and specialized hardware design.

Multi-Variable, High Order, Performance Models (2005C)

2005 ◽  
Author(s):  
David Japikse ◽  
Oleg Dubitsky ◽  
Kerry N. Oliphant ◽  
Robert J. Pelton ◽  
Daniel Maynes ◽  
...  
Keyword(s):  
Data Processing ◽  
Large Data ◽  
High Order ◽  
Large Data Sets ◽  
Data Sets ◽  
Performance Models ◽  
Statistical Accuracy ◽  
Evaluation Methodologies ◽  
New Models ◽  
The Impact

In the course of developing advanced data processing and advanced performance models, as presented in companion papers, a number of basic scientific and mathematical questions arose. This paper deals with questions such as uniqueness, convergence, statistical accuracy, training, and evaluation methodologies. The process of bringing together large data sets and utilizing them, with outside data supplementation, is considered in detail. After these questions are focused carefully, emphasis is placed on how the new models, based on highly refined data processing, can best be used in the design world. The impact of this work on designs of the future is discussed. It is expected that this methodology will assist designers to move beyond contemporary design practices.

scholarly journals Design and Analysis of Large Data Processing Techniques

2014 ◽  
Vol 100 (8) ◽  
pp. 24-28 ◽  
Author(s):  
Madhavi Vaidya ◽  
Shrinivas Deshpande ◽  
Vilas Thakare
Keyword(s):  
Data Processing ◽  
Large Data ◽  
Processing Techniques

scholarly journals AUTOMATED INFORMA¬TION SYSTEM FOR GPS MONITORING DATA PROCESSING

2021 ◽  
Vol 2 (37) ◽  
pp. 88-92
Author(s):  
K. Yalova ◽  
K. Yashyna ◽  
O. Tarasiyk
Keyword(s):  
User Interface ◽  
Data Processing ◽  
System Architecture ◽  
Web Application ◽  
Gps Tracking ◽  
System Software ◽  
Web Interfaces ◽  
Application Service ◽  
Functional Features ◽  
Tion System

Using of automated information systems in the field of geolocation data processing increases the control and management efficiency of freight and passenger traffic. The article presents the results of design and software implementation of the automated information system that allows monitoring of GPS tracking data in real time, build routes and set control points for it, generate system messages about the status of vehicles on the route and generate reporting information on the base of user requests. The design of the system architecture and interface was carried out on the basis of developed object and functional data domain models, which take into account its structural and functional features. The microservice approach principles were applied during the developing of the system architecture. The system software is a set of independent services that work in their own process, implement a certain business logic algorithm and communicate with other services through the HTTP protocol. The set of the system software services consists of: a service for working with GPS data, a service for implementing geolocation data processing functions, and a web application service. The main algorithms of the developed system services and their functional features are described in the work. Article’s figures graphically describe developed system site map and system typical Web forms. This data displays the composition of web pages, paths between them and shows the user interface. The design of the user interface was carried out taking into account quality requirements of user graphical web interfaces.

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