Improving Network Management by XML to Relational Data Translation

2013 ◽  
Vol 5 (3) ◽  
pp. 34-48
Author(s):  
Mahabubul Alam ◽  
Salam Salloum ◽  
Mohammad Husain
Keyword(s):  
Network Management ◽  
Wireless Network ◽  
Information Needs ◽  
Relational Databases ◽  
Proof Of Concept ◽  
Process Data ◽  
Automated Method ◽  
Extensible Markup ◽  
Data Translation ◽  
Logging Tool

Network management is a critical component in both wired and wireless network. In wireless networks, the network dynamics changes rapidly and the network management information needs to be updated frequently. Due to its structured form and ease of usage in communication, eXtensible Markup Language (XML) is preferred as a configuration and logging tool in network management. However, it is convenient to use relational databases such as SQL to store and process data of wireless network management where frequent updates are necessary. In this paper, the authors show an automated method of converting XML documents to store in relational. We have implemented a proof of concept and compared performance to existing approach.

scholarly journals Trust assessment of power system states

2020 ◽  
Vol 3 (S1) ◽  
Author(s):  
Michael Brand ◽  
Davood Babazadeh ◽  
Carsten Krüger ◽  
Björn Siemers ◽  
Sebastian Lehnhoff
Keyword(s):  
Power Systems ◽  
Power System ◽  
Data Acquisition ◽  
State Estimation ◽  
Trust Model ◽  
Proof Of Concept ◽  
Process Data ◽  
Acquisition Process ◽  
Functional Correctness ◽  
Data Acquisition Process

Abstract Modern power systems are cyber-physical systems with increasing relevance and influence of information and communication technology. This influence comprises all processes, functional, and non-functional aspects like functional correctness, safety, security, and reliability. An example of a process is the data acquisition process. Questions focused in this paper are, first, how one can trust in process data in a data acquisition process of a highly-complex cyber-physical power system. Second, how can the trust in process data be integrated into a state estimation to achieve estimated results in a way that it can reflect trustworthiness of that input?We present the concept of an anomaly-sensitive state estimation that tackles these questions. The concept is based on a multi-faceted trust model for power system network assessment. Furthermore, we provide a proof of concept by enriching measurements in the context of the IEEE 39-bus system with reasonable trust values. The proof of concept shows the benefits but also the limitations of the approach.

Pen-Based Mobile Computing

2009 ◽  
pp. 998-1003
Author(s):  
Bernie Garret
Keyword(s):  
Mobile Computing ◽  
Wireless Network ◽  
Information Needs ◽  
Research Center ◽  
Palo Alto ◽  
Portable Computer ◽  
Original Idea

The original idea of a portable computer is credited to Alan Kay of the Xerox Palo Alto Research Center who suggested the idea in the 1970s (Kay, 1972a, 1972b; Kay & Goldberg, 1977). He envisioned a notebook-sized portable computer named the “Dynabook” that could be used for all of the user’s information needs and using wireless network capabilities for connectivity.

A Design of Z-Stack Application Based on the IEEE Address

2013 ◽  
Vol 401-403 ◽  
pp. 1272-1277
Author(s):  
Wen Wu Hua ◽  
Zhong Hu Yuan ◽  
Xiu Zhen Yu
Keyword(s):  
Network Management ◽  
Wireless Network ◽  
Performance Indicators ◽  
Communication Protocol ◽  
Protocol Stack ◽  
Operating Environment ◽  
Security Problem ◽  
Accurate Position ◽  
Automatic Acquisition ◽  
Machine Communication

This paper has designed a ZigBee application which is based on the IEEE address. This applications operating environment is TIs protocol stack called Z-Stack. The application can realize the following functions: wireless network self-organizing, the automatic acquisition and information upload. The upper machine communication protocol uses the IEEE address as device ID. This insures the application can find the datas physical source. With the help of network address, the applications speed and any other performance indicators will not drop. Using this application, the user can immediately find the accurate position directly after the security problem appeared. It has improved the efficiency of the wireless network management obviously.

Autonomics in wireless network management: Advances in standards and further challenges

IEEE Network ◽  
2011 ◽  
Vol 25 (6) ◽  
pp. 41-49 ◽  
Author(s):  
Kostas Tsagkaris ◽  
Panagiotis Vlacheas ◽  
George Athanasiou ◽  
Vera Stavroulaki ◽  
Stanislav Filin ◽  
...  
Keyword(s):  
Network Management ◽  
Wireless Network

scholarly journals Supervised Models for Measuring Performance At E-Learning Environmen

2019 ◽  
Vol 8 (11) ◽  
pp. 2792-2797
Keyword(s):  
Big Data ◽  
Student Performance ◽  
Relational Databases ◽  
Prediction Models ◽  
Data Modeling ◽  
Process Data ◽  
Design Data ◽  
Relationship Model ◽  
E Learning ◽  
Entity Relationship

E-learning data becomes ‘Big’ data as it describes a huge volume of both structured and unstructured data. And inherent limitations of relational databases maintained in this context makes difficult to apply and to extract outputs meaningful. Data modeling is also recommended to design data views at various levels either conceptual or physical here. Most of the educational organizations are keen in collecting, storing and analyzing the students’ data because it will add more significant value to the decision making process. Data modeling through entity relationship model or query views plays a important role in dealing with big data due to the fact around 85% of big data is semi structured data. Hence data modeling should be carried out as required by any learning institution needs. Making big data component to reside in the data model is challenging. This paper is to establish data modeling techniques applied to a reasonably ‘big’ data in e-learning. Prediction models generated from this data will be accurate if the training sets and testing sets are governed properly in spite of data size complexity. Student Performance by study credits (partitioned in three classes: low, medium, high ) are classified with respect to their engagement attributes (activity types, sum of clicks made, duration in days) and obtained maximum accuracy 90.923%.

scholarly journals PERBANDINGAN PERFORMANSI DATABASE MONGODB DAN MYSQL DALAM APLIKASI FILE MULTIMEDIA BERBASIS WEB

2018 ◽  
Vol 6 (1) ◽  
pp. 63
Author(s):  
Mesri Silalahi
Keyword(s):  
Data Storage ◽  
Information Needs ◽  
Relational Databases ◽  
Performance Comparison ◽  
Web Based ◽  
File Storage ◽  
Nosql Database ◽  
Computer Resources ◽  
Important Building Block ◽  
Multimedia File

Database appeared and began to develop in line with the needs of processing and data storage to meet the information needs. Database is part of an important building block in an information system. In addition to a relational database (SQL), which stores structured datas in tables with defined schemes, there is a non-relational databases (NoSQL) with a dynamic scheme or unstructured. This study will compare the performance between NoSQL database (MongoDB) and SQL database (MySQL) for a web-based multimedia file storage application that stores files as BLOBs. Performance comparison is based on the speed of execution and the computer resources usage (CPU, memory, and virtual memory).

scholarly journals Indices in XML Databases

2009 ◽  
pp. 674-681
Author(s):  
Hadj Mahboubi ◽  
Jérôme Darmont
Keyword(s):  
Data Structures ◽  
Relational Databases ◽  
Future Trends ◽  
Xml Databases ◽  
Xml Documents ◽  
Trade Offs ◽  
Database Research ◽  
Extensible Markup ◽  
Xml Indexing ◽  
Query Processing And Optimization

Since XML (eXtensible Markup Language) (Bray, Paoli, Sperberg-McQueen, Maler & Yergeau, 2004) emerged as a standard for information representation and exchange, storing, indexing, and querying, XML documents have become major issues in database research. Query processing and optimization are very important in this context, and indices are data structures that help enhance performances substantially. Though XML indexing concepts are mainly inherited from relational databases, XML indices bear numerous specificities. The aim of this chapter is to present an overview of state-of-the-art XML indices and to discuss the main issues, trade-offs, and future trends in XML indexing. Furthermore, since XML is gaining importance for representing business data for analytics (Beyer, Chamberlin, Colby, Özcan, Pirahesh & Xu, 2005), we also present an index we developed specifically for XML data warehouses.

scholarly journals Smart Pooling: AI-Powered COVID-19 Informative Group Testing

2021 ◽  
Author(s):  
Maria Escobar ◽  
Guillaume Jeanneret ◽  
Laura Bravo-Sánchez ◽  
Angela Castillo ◽  
Catalina Gómez ◽  
...  
Keyword(s):  
Machine Learning ◽  
False Negative ◽  
Group Testing ◽  
Error Rates ◽  
Molecular Testing ◽  
Proof Of Concept ◽  
Efficiency Gains ◽  
Automated Method ◽  
Sociodemographic Data ◽  
False Negative Error

Abstract Massive molecular testing for COVID-19 has been pointed out as fundamental to moderate the spread of the pandemic. Pooling methods can enhance testing efficiency, but they are viable only at low incidences of the disease. We propose Smart Pooling, a machine learning method that uses clinical and sociodemographic data from patients to increase the efficiency of informed Dorfman testing for COVID-19 by arranging samples into all-negative pools. To do this, we ran an automated method to train numerous machine learning models on a retrospective dataset from more than 8,000 patients tested for SARS-CoV-2 from April to July 2020 in Bogotá, Colombia. We estimated the efficiency gains of using the predictor to support Dorfman testing by simulating the outcome of tests. We also computed the attainable efficiency gains of non-adaptive pooling schemes mathematically. Moreover, we measured the false-negative error rates in detecting the ORF1ab and N genes of the virus in RT-qPCR dilutions. Finally, we presented the efficiency gains of using our proposed pooling scheme on proof-of-concept pooled tests. We believe Smart Pooling will be efficient for optimizing massive testing of SARS-CoV-2.

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