OALib Journal
  OALib Journal is an all-in-one open access journal (ISSN Print: 2333-9705, ISSN Online: 2333-9721). It accepts a manuscript for the peer-review processing, typesetting, publication and then allocated to one of the 322 subject areas. The article processing charge for publishing in OALib journal is Only $99. For more details, please contact service@oalib.com. Submit now
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Apr 15, 2021Open    AccessArticle

Web-Based Software for Small Area Estimation under Unit Level Model

James Karangwa, Anshu Bharadwaj
The purpose of this paper is to produce reasonably accurate direct estimators, not only for the characteristics of whole Population but also for a variety of Subpopulations or domains. Many policymakers and researchers also want to obtain statistics for small domains. These small domains are also called small areas, because the sample size in the area or domain from the Survey is small. Due to small sample size, domain-specific direct estimators provide an acceptably large coefficient of variati...
Open Access Library J. Vol.8, 2021
Doi:10.4236/oalib.1107207


Dec 23, 2020Open    AccessArticle

Design of a Quad-Channel Analog Data Acquisition System Based on FPGA

Yongfu Xiao, Hao Zhang, Hao Zou
In order to implement the acquisition and processing of signals from imaging systems, a data acquisition system based on FPGA was designed with the requirements of multi-channel, high-resolution and compactness. The data acquisition (DAQ) system uses a quad-channel 12-bit analog-to-digital converter (ADC) AD9228-65 as the front-end core chip, and a series of signal conditioning circuits to form the front-end system. FPGA is used as the data acquisition, logic control, data readout and processing...
Open Access Library J. Vol.7, 2020
Doi:10.4236/oalib.1107058


Nov 09, 2020Open    AccessArticle

Discussion on the Application of Geographic Information System in Urban Ecological Environment Management under the Background of Big Data

Qinfen Zheng
Urban ecological management in the context of big data space is an objective need for urban development. The ecological environment of a city is a comprehensive group of various ecological factors and ecological relationships that people in urban areas rely on for survival, development, and evolution. Geographic information is performed on the effective management of system technical means. Predictive decision-making and analysis can be made by processing urban spatial data, urban resources, and...
Open Access Library J. Vol.7, 2020
Doi:10.4236/oalib.1106904


Sep 18, 2020Open    AccessArticle

Prediction of Wheat Rust Diseases Using Data Mining Application

Wesenu Bekele Mulatu, Mebratu Fana Bedasa, Gemechu Kena Terefa
Stem rust caused by Puccinia graminis f.sp. tritici and stripe rust caused by Puccinia striiformis are the most destructive wheat rust diseases when environment conditions are favorable in regions where wheat crops are grown. An early prediction mechanism can play a great role in forecasting the occurrence of the rust disease. It assists proactive control and early decision making. However, in the absence of prediction mechanism of wheat rust disease hurried wheat production yield loss more. Hen...
Open Access Library J. Vol.7, 2020
Doi:10.4236/oalib.1106717


Apr 20, 2018Open    AccessArticle

A Predictive Model for Graduate Application to Enrollment

Vahid Lotfi, Bradley Maki
This study involved an investigation of factors that affect a graduate applicant in accepting an offer of admission and enrolling in a graduate program of study at a mid-sized public university. A predictive model was developed, using Decision Tree methodology to assess the probability that an admitted student would enroll in the program during the semester following acceptance. The study included actual application information su
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Open Access Library J. Vol.5, 2018
Doi:10.4236/oalib.1104499


May 28, 2015Open    AccessArticle

Classification and Novel Class Detection in Data Streams Using Strings

Rimjhim Singh, Manoj B. Chandak
Data streams are continuous and always keep evolving in nature. Because of these reasons it becomes difficult to handle such data with simple and static strategies. Data stream poses four main challenges to researchers. These are infinite length, concept-evolution, concept-drift and feature evolution. Infinite-length is because of the amount of data having no bounds. Concept-drift is due to slow changes in the concept of stream. Concept-evolution occurs due to presence of unknown classes in data...
Open Access Library J. Vol.2, 2015
Doi:10.4236/oalib.1101507


Jun 18, 2014Open    AccessArticle

Assessment, Design and Implementation of a Private Cloud for MapReduce Applications

M. Salgueiro,P. González,T. F. Pena,J. C. Cabaleiro
Scientific computation and data intensive analyses are ever more frequent. On the one hand, the MapReduce programming model has gained a lot of attention for its applicability in large parallel data analyses and Big Data applications. On the other hand, Cloud computing seems to be increasingly attractive in solving these computing problems that demand a lot of resources. This paper explores the potential symbiosis between MapReduce and Cloud Computing, in order to create a robust and scalable en...
Open Access Library J. Vol.1, 2014
Doi:10.4236/oalib.1100526


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