The Breakthrough of the Big Data Process Model under the Fourth Paradigm

2015 ◽  
Author(s):  
Bingru Yang
Keyword(s):  
Big Data ◽  
Process Model ◽  
Data Process

An Optimal Framework for Spatial Query Optimization Using Hadoop in Big Data Analytics

2019 ◽  
Vol 12 ◽  
Author(s):  
Pankaj Dadheech ◽  
Dinesh Goyal ◽  
Sumit Srivastava ◽  
Ankit Kumar
Keyword(s):  
Big Data ◽  
Query Optimization ◽  
Spatial Data ◽  
Spatial Information ◽  
Big Data Analytics ◽  
Spatial Query ◽  
Data Process ◽  
Boolean Queries ◽  
Spatial Query Optimization ◽  
Hadoop System

Spatial queries frequently used in Hadoop for significant data process. However, vast and massive size of spatial information makes it difficult to process the spatial inquiries proficiently, so they utilized the Hadoop system for process Big Data. We have used Boolean Queries & Geometry Boolean Spatial Data for Query Optimization using Hadoop System. In this paper, we show a lightweight and adaptable spatial data index for big data which will process in Hadoop frameworks. Results demonstrate the proficiency and adequacy of our spatial ordering system for various spatial inquiries.

Process Analytics Model Approach in Healthcare

2020 ◽  
pp. 186-196
Author(s):  
S. Santhosh Kumar ◽  
A. Sumathi
Keyword(s):  
Big Data ◽  
Research And Development ◽  
Process Model ◽  
Data Repository ◽  
Healthcare Analytics ◽  
Process Analytics ◽  
Healthcare Data ◽  
Innovative Solutions ◽  
Treatment Mechanisms ◽  
The Relationship

Process analytics involves the relationship between the doctor, diagnostic centers and patient. The primary advantages of using process analytics in healthcare are expert guidance, global medical assistance, and possible alternate treatment mechanisms. The secondary advantages are the analysis of the same type of disease complications and the creation of a disease-based healthcare data repository. This chapter focuses on the process model-based approach for healthcare analytics. The two emerging techniques Big data and IoT are needed to be incorporated with the process model for storing and analyzing the healthcare data. The first category assists administrators with identifying areas to streamline operations and concretely increase savings. Research and development are crucial aspects of healthcare, providing new innovative solutions and treatments that can be properly tracked, measured, and analyzed.

scholarly journals Sistem Informasi Pengarsipan Sertifikat Tanah pada Badan Pertanahan Nasional Aceh Besar

2020 ◽  
Vol 4 (2) ◽  
pp. 52
Author(s):  
Rosi Very Yanty
Keyword(s):  
Data Processing ◽  
Interface Design ◽  
Process Model ◽  
Visual Basic ◽  
Test Results ◽  
Application Development ◽  
Data Process ◽  
Filing System ◽  
System Information ◽  
Microsoft Office

The design of the land certificate filing system was built to facilitate the work process in managing land certificate records, especially in the field of archives at the Aceh Besar National Land Agency, which is intended to streamline computerized data processing to support technical implementation in carrying out more accurate land certificate data processing, effective and efficient. A land certificate is a tool or means to convey statements or information in writing from one party to another party. Such information can be in the form of notifications, statements, requests, reports, objections, thoughts, questions, and so on. The design of the system used by the Rapid Application Development (RAD) method, a software development process model classified as incremental (multilevel) techniques. Applications used for making applications are Microsoft Visual Basic .NET as interface design and Microsoft Office Access as a DBMS. The test results of this application are the systems that are built already meet the needs, the input data process has met the needs and the resulting report has met the needs.Keywords:Land Certificate Filing System, Information System, Visual Basic .NET

scholarly journals Autochemistry: A Research Paradigm Based on Artificial Intelligence and Big Data

2019 ◽  
Author(s):  
Thorsten Gressling
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Process Model ◽  
Current System ◽  
Building Blocks ◽  
Research Paradigm ◽  
Chemistry Research ◽  
Common Process ◽  
Scientific Principles ◽  
Further Development

Artificial Intelligence technologies affect every domain and process in industry. Many solutions with different maturity levels have been created or are in development. With this paper we collect initiatives in the domain of chemical science and bring these resources together into a common process model. <div>We define ten building blocks, analyse their role in the architecture and evaluate their impact to the current system. Finally we discuss the changes and the transition that occurs to the lab worker and the chemist.<br></div><div>This paper introduces <i>Autochemistry</i> as a meme and for further development and discussion. We just can provide a first sketch to this exciting new area of scientific principles changing the anthropocentric fundament of chemistry research to a technocentric one.<br></div>

scholarly journals A Review on Big Data Management and Decision-Making in Smart Grid

2019 ◽  
Vol 4 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Amira Mohamed ◽  
Shady S. Refaat ◽  
Haitham Abu-Rub
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Smart Grid ◽  
Energy Security ◽  
Energy Use ◽  
Essential Element ◽  
Existing Problems ◽  
Data Process ◽  
Equipment Failures ◽  
And Control

AbstractSmart grid (SG) is the solution to solve existing problems of energy security from generation to utilization. Examples of such problems are disruptions in the electric grid and disturbances in the transmission. SG is a premium source of Big Data. The data should be processed to reveal hidden patterns and secret correlations to extrapolate the needed values. Such useful information obtained by the so-called data analytics is an essential element for energy management and control decision towards improving energy security, efficiency, and decreasing costs of energy use. For that reason, different techniques have been developed to process Big Data. This paper presents an overview of these techniques and discusses their advantages and challenges. The contribution of this paper is building a recommender system using different techniques to overcome the most obstacles encountering the Big Data processes in SG. The proposed system achieves the goals of the future SG by (i) analyzing data and executing values as accurately as possible, (ii) helping in decision-making to improve the efficiency of the grid, (iii) reducing cost and time, (iv) managing operating parameters, (v) allowing predicting and preventing equipment failures, and (vi) increasing customer satisfaction. Big Data process enables benefits that were never achieved for the SG application.

scholarly journals Detecting Attacks Using Big Data with Process Mining

2017 ◽  
Vol 2 (2) ◽  
pp. 5 ◽  
Author(s):  
Ved Prakash Mishra ◽  
Yogeshwaran Sivasubramanian ◽  
Subheshree Jeevanandham
Keyword(s):  
Big Data ◽  
Intrusion Detection ◽  
Process Mining ◽  
Detection System ◽  
Big Data Analytics ◽  
High Volume ◽  
False Alarms ◽  
Digital World ◽  
Data Process ◽  
System Logs

Abstract- In current digital world, Security has become the major issue for the organization. Every day the amount of data is growing in the world. Processing and analyzing of the data is becoming the new challenge for the analyzers. For this purpose, big data is useful to process the high volume of data in less time. Current security tools like existing firewalls and Intrusion Detection Systems are still not able to detect and prevent the attacks and intrusions in full proof manner and giving many false alarms. Big Data analytics concept could be very useful for analyzing, detection and providing full security to the organization because of the ability of handling the large amount of data. In this paper, we have described the concept and the roll of big data. We have also proposed a model using process mining to generate the alerts in the case of attacks.   Index Terms— Big Data, Process Mining, Intrusion Detection System, Logs.

Validation of the Fast-Running In-Vessel Model ASTRID for Predicting the Radioactive Releases to the Containment

2004 ◽  
Author(s):  
Miettinen Jaakko ◽  
Philipp Schmuck
Keyword(s):  
Process Model ◽  
Emergency Situation ◽  
Reactor Vessel ◽  
Severe Accident ◽  
Primary System ◽  
Developmental Assessment ◽  
Drift Flux ◽  
Fast Running ◽  
Data Process ◽  
Problematic Area

The ASTRID (Assessment of Source Term for Emergency Response based on Installation Data) process model is used for the faster than real-time prediction of the radioactivity released into the containment and further into the environment in case of an emergency situation in a light water reactor. Combined together with the containment module COCOSYS the model can predict the entire radioactivity release chain from the primary system to the containment and further into the environment. In the paper the ASTRID thermohydraulic module PROCESS is presented shortly. The thermohydraulic part is a fast running solution for the drift-flux based thermohydraulics. In high temperatures the core degradation leading to the melt pool formation in the reactor barrel and reactor vessel lower head is calculated in the in-vessel module RELOMEL. Finally after the reactor vessel wall has been eroded due to the molten corium in the lower plenum, the massive radioactivity release occurs into the containment. But even before this scenario the radioactivity may be transported from the superheated core to the containment by the coolant. The reference plants for the development have been the Westinghouse type 4-loop PWR, the French type 3-loop PWR, The German type 4-loop Konvoi PWR, the Loviisa VVER type PWR, and the Olkiluoto type internal pump BWR. The reference code for the DBA thermal hydraulics has been the SMABRE code. In the developmental assessment the capability of the rough nodalization of ASTRID has been tested against the SMABRE nodalization describing the plants with 50–500 nodes. For the developmental assessment of the in-vessel severe accident the sample cases are calculated with MELCOR. The more thorough validation is based on the internationally known system codes, RELAP5, MELCOR, CATHARE and ATHLET. In the validation the most problematic area is the radioactivity transport into the containment. This part of the validation is done with the integrated code system.

Sign in / Sign up

Export Citation Format

Share Document