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Nov 22, 2021Open Access
As traffic congestion has become a common problem plaguing Chinese cities, a strong coverage of taxi stops with reasonable number distribution can not only improve the operating efficiency of taxis, but also make rational use of taxi resources. It can also provide a good waiting experience for passengers, which has important practical significance. Based on the big data of taxi travel trajectory, this paper takes a typical working day in Nanjing as an example, and analyzes the peak travel time b...
Sep 03, 2021Open Access
This paper explores how to prepare data for analyzing the Chinese texts with R language based on the theory of Welbers, particularly comparing the R package Rwordseg with jiebaR to see the results of Chinese text segmentation at the step of preprocessing.
Apr 15, 2021Open Access
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...
Dec 23, 2020Open Access
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...
Nov 09, 2020Open Access
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...
Sep 18, 2020Open Access
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...
Apr 20, 2018Open Access
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 ...
May 28, 2015Open Access
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...
Jun 18, 2014Open Access
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...
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