scholarly journals Research and Design of Hydrological Big-data Sharing Platform

10.29007/c6pg ◽  
2018 ◽  
Author(s):  
Jian Xu ◽  
Hua Chen
Keyword(s):  
Big Data ◽  
Data Sharing ◽  
High Speed ◽  
Mass Storage ◽  
Data Indexing ◽  
Hydrological Data ◽  
Efficient Data ◽  
Research And Design ◽  
Information Database ◽  
Data Reading

In this paper, the methodology of hydrological big-data standardization is discussed upon analyzing on the characteristics of hydrological data. Three main standards of hydrological data in China are considered in the standardization, which are respectively "Structure and identifier for real-time hydrological information database", "standard for structure and identifier in fundamental hydrological database" and "Structure and identifier for water quality database". Solutions on data pre-processing, data indexing and highly efficient data reading and writing are also introduced. The mass storage capacity and high speed computing capability of Hadoop are utilized for designing and implementing hydrological big-data sharing platform. Then a prototype of the hydrological big-data sharing platform is introduced in this article. Accordingly, the platform can be the technical support for information sharing and space integration between water conservancy industries and other industries, as well as the interdisciplinary sustainable development.

scholarly journals An Aggregatable Name-Based Routing for Energy-Efficient Data Sharing in Big Data Era

IEEE Access ◽  
2015 ◽  
Vol 3 ◽  
pp. 955-966 ◽  
Author(s):  
Ruidong Li ◽  
Hiroaki Harai ◽  
Hitoshi Asaeda
Keyword(s):  
Big Data ◽  
Data Sharing ◽  
Energy Efficient ◽  
Efficient Data

The bright future of digital imaging in scanning electron microscopy

1993 ◽  
Vol 51 ◽  
pp. 768-769
Author(s):  
M. T. Postek ◽  
A. E. Vladar
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Digital Imaging ◽  
High Speed ◽  
High Performance ◽  
Mass Storage ◽  
Analog To Digital ◽  
Central Processing ◽  
Digital Imaging Technology ◽  
Scanning Electron

One of the major advancements applied to scanning electron microscopy (SEM) during the past 10 years has been the development and application of digital imaging technology. Advancements in technology, notably the availability of less expensive, high-density memory chips and the development of high speed analog-to-digital converters, mass storage and high performance central processing units have fostered this revolution. Today, most modern SEM instruments have digital electronics as a standard feature. These instruments, generally have 8 bit or 256 gray levels with, at least, 512 × 512 pixel density operating at TV rate. In addition, current slow-scan commercial frame-grabber cards, directly applicable to the SEM, can have upwards of 12-14 bit lateral resolution permitting image acquisition at 4096 × 4096 resolution or greater. The two major categories of SEM systems to which digital technology have been applied are:In the analog SEM system the scan generator is normally operated in an analog manner and the image is displayed in an analog or "slow scan" mode.

Enabling Efficient Data Sharing With Auditable User Revocation for IoV Systems

2021 ◽  
pp. 1-12
Author(s):  
Jiawei Zhang ◽  
Teng Li ◽  
Mohammad S. Obaidat ◽  
Chi Lin ◽  
Jianfeng Ma
Keyword(s):  
Data Sharing ◽  
Efficient Data ◽  
User Revocation

Big Data in the philippines: How do we actually use them?

2021 ◽  
pp. 1-30
Author(s):  
Lisa Grace S. Bersales ◽  
Josefina V. Almeda ◽  
Sabrina O. Romasoc ◽  
Marie Nadeen R. Martinez ◽  
Dannela Jann B. Galias
Keyword(s):  
Big Data ◽  
High Speed ◽  
The Philippines ◽  
Complex Data ◽  
Official Statistics ◽  
Group Discussions ◽  
The Public ◽  
The Government ◽  
The Many ◽  
Current Utilization

With the advancement of technology, digitalization, and the internet of things, large amounts of complex data are being produced daily. This vast quantity of various data produced at high speed is referred to as Big Data. The utilization of Big Data is being implemented with success in the private sector, yet the public sector seems to be falling behind despite the many potentials Big Data has already presented. In this regard, this paper explores ways in which the government can recognize the use of Big Data for official statistics. It begins by gathering and presenting Big Data-related initiatives and projects across the globe for various types and sources of Big Data implemented. Further, this paper discusses the opportunities, challenges, and risks associated with using Big Data, particularly in official statistics. This paper also aims to assess the current utilization of Big Data in the country through focus group discussions and key informant interviews. Based on desk review, discussions, and interviews, the paper then concludes with a proposed framework that provides ways in which Big Data may be utilized by the government to augment official statistics.

Modified SeDaSc system for efficient data sharing in the cloud

2021 ◽  
Author(s):  
Marwa F. Areed ◽  
Mohamed M. Rashed ◽  
Nehal Fayez ◽  
Ehab H. Abdelhay
Keyword(s):  
Data Sharing ◽  
Efficient Data
Sign in / Sign up

Export Citation Format

Share Document