scholarly journals Are microbial indicators and pathogens correlated? A statistical analysis of 40 years of research

2011 ◽  
Vol 9 (2) ◽  
pp. 265-278 ◽  
Author(s):  
J. Wu ◽  
S. C. Long ◽  
D. Das ◽  
S. M. Dorner
Keyword(s):  
Sample Size ◽  
Detection Method ◽  
Drinking Water Treatment ◽  
Detection Methods ◽  
Indicator Organisms ◽  
Recreational Waters ◽  
Factors Affecting ◽  
Single Indicator ◽  
Independent Indicator

Indicator organisms are used to assess public health risk in recreational waters, to highlight periods of challenge to drinking water treatment plants, and to determine the effectiveness of treatment and the quality of distributed water. However, many have questioned their efficacy for indicating pathogen risk. Five hundred and forty cases representing independent indicator–pathogen correlations were obtained from the literature for the period 1970–2009. The data were analyzed to assess factors affecting correlations using a logistic regression model considering indicator classes, pathogen classes, water types, pathogen sources, sample size, the number of samples with pathogens, the detection method, year of publication and statistical methods. Although no single indicator was identified as the most correlated with pathogens, coliphages, F-specific coliphages, Clostridium perfringens, fecal streptococci and total coliforms were more likely than other indicators to be correlated with pathogens. The most important factors in determining correlations between indicator–pathogen pairs were the sample size and the number of samples positive for pathogens. Pathogen sources, detection methods and other variables have little influence on correlations between indicators and pathogens. Results suggest that much of the controversy with regards to indicator and pathogen correlations is the result of studies with insufficient data for assessing correlations.

The Study on High Precision 3D Detection Method of Steel Plate Surface Based on Structured Light

2012 ◽  
Vol 572 ◽  
pp. 338-342 ◽  
Author(s):  
Zhi Guo Liang ◽  
Quan Yang ◽  
Ke Xu ◽  
Fei He ◽  
Xiao Chen Wang ◽  
...  
Keyword(s):  
Surface Quality ◽  
Steel Plate ◽  
Detection Method ◽  
Structured Light ◽  
Detection Methods ◽  
Measurement Technology ◽  
Detection Accuracy ◽  
Plate Surface ◽  
Factors Affecting

Structured light 3D measurement technology with its simple structure, non-contact measurement, fast measurement speed and other advantages, has been widely used. Steel plate surface quality detection is not confined to the two-dimensional feature of gray detection, and local topography measurement for surface quality of steel plate detection becomes increasingly important. In this paper, steel plate surface 3D detection method based on structured light and the factors affecting the measurement accuracy are analyzed. Several effective methods of improving 3D detection accuracy are put forward. Compared with the traditional structured light 3D detection methods, the detection accuracy of new methods is remarkably improved, thus possessing better application values.

scholarly journals An Area-Context-Based Credibility Detection for Big Data in IoT

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Bo Zhao ◽  
Xiang Li ◽  
Jiayue Li ◽  
Jianwen Zou ◽  
Yifan Liu
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Detection Method ◽  
Big Data Analysis ◽  
Detection Methods ◽  
High Detection ◽  
Data Credibility ◽  
High Level

In order to improve the credibility of big data analysis platform’s results in IoT, it is necessary to improve the quality of IoT data. Many detection methods have been proposed to filter out incredible data, but there are certain deficiencies that performance is not high, detection is not comprehensive, and process is not credible. So this paper proposes an area-context-based credibility detection method for IoT data, which can effectively detect point anomalies, behavioral anomalies, and contextual anomalies. The performance of the context determination and the data credibility detection of the device satisfying the area characteristics is superior to the similar algorithms. As the experiments show, the proposed method can reach a high level of performance with more than 97% in metrics, which can effectively improve the quality of IoT data.

scholarly journals FACTORS AFFECTING STUDENTS’ THESIS COMPLETION ON DEPARTMENT OF MANAGEMENT STIE MIKROSKIL

2021 ◽  
Vol 27 (2) ◽  
Author(s):  
Ella Silvana Ginting ◽  
Apren Halomoan Hutasoit
Keyword(s):  
Sample Size ◽  
Comparative Research ◽  
Total Sample ◽  
Factors Affecting ◽  
Total Sample Size ◽  
Partial Analysis ◽  
Scientific Papers ◽  
Causal Comparative

This study is aimed to investigate the factors that influence the completion of students' final task, thesis. The research is causal comparative research which the data were   obtained by directly surveying respondents through questionnaire. The population in this study were students who finishing their final task, who in semester 8 students students, with total sample size of 67. From the results of the hypothesis analysis simultaneously, a significant value was obtained of 0.000, which means that motivation to graduate on time, the ability to write scientific papers, and the quality of assignment guidance final possess effect on the completion of student final assignments. Partial analysis obtained a significant value of the motivation variable of 0.012, the variable of the ability to write scientific papers of 0.018, and the variable of quality of guidance of 0.000, which means that partially motivation, the ability to write scientific papers, and the quality of final assignment guidance stimulate bring effect on the completion of students' final tasks

A Novel Islanding Detection Method for Inverter-Based Distributed Generation Systems

2013 ◽  
Vol 318 ◽  
pp. 597-600
Author(s):  
Dong Xie ◽  
Xing Zhang
Keyword(s):  
Power Quality ◽  
Distributed Generation ◽  
Detection Method ◽  
Detection Methods ◽  
Islanding Detection ◽  
Generation System ◽  
Detection Zone ◽  
Renewable Energy Technologies ◽  
Energy Technologies

In the area of renewable energy technologies, islanding of distributed generation system needs to be prevented due to safety reasons and to ensure quality of power supplied to the customers. Several islanding detection methods based on passive and active schemes have been proposed in the literature. Passive methods have a large non detection zone (NDZ), While active schemes degrade power quality. This paper proposed a new passive islanding detection method which combines the Wavelet-transform and neural network techniques. This method can reduce the NDZ to zero without any perturbation that deteriorates the power quality. The simulation results show that the proposed islanding detection method is effective and robust in all kind of conditions.

scholarly journals SENSITIVITY OF MANTEL HAENSZEL MODEL AND RASCH MODEL AS VIEWED FROM SAMPLE SIZE

2017 ◽  
Vol 2 (1) ◽  
pp. 18
Author(s):  
IDRUS ALWI
Keyword(s):  
Sample Size ◽  
Differential Item Functioning ◽  
Rasch Model ◽  
Detection Method ◽  
Detection Methods ◽  
Choice Test ◽  
Data Sets ◽  
Item Functioning ◽  
Result Show ◽  
Binary Item

The aims of this research is to study the sensitivity comparison of Mantel Haenszel and Rasch Model for detection differential item functioning, observed from the sample size. These two differential item functioning (DIF) methods were compared using simulate binary item respon data sets of varying sample size,  200 and 400 examinees were used in the analyses, a detection method of differential item functioning (DIF) based on gender difference. These test conditions were replication 4 times. For both differential item functioning (DIF) detection methods, a test length of 42 items was sufficient for satisfactory differential item functioning (DIF) detection with detection rate increasing as sample size increased. Finding the study revealed that the empirical result show Rasch Model are more sensitive to detection differential item functioning (DIF) than Mantel Haenszel. With reference to findings of this study, it is recomended that the use of Rasch Model in evaluation activities with multiple choice test. For this purpose, it is necessary for every school to have some teachers who are skillfull in analyzing results of test using modern methods (Item Response Theory).

scholarly journals Assessment of skills gap among intermediaries of cotton supply chain in Punjab, Pakistan

2019 ◽  
Vol 6 (3) ◽  
pp. 186-191
Author(s):  
Adeel Ahmad ◽  
Muhammad Iftikhar ◽  
Babar Shahbaz ◽  
Chris O. Igodan ◽  
Kathy Lechman ◽  
...  
Keyword(s):  
Sample Size ◽  
Value Chain ◽  
Fiber Strength ◽  
Sampling Technique ◽  
Total Sample ◽  
Poor Quality ◽  
Factors Affecting ◽  
Doing Business ◽  
Marketing Costs

Cotton is an important crop in Pakistan as it contributes 1.0% of GDP and 5.1% in agricultural value addition (GOP, 2017). Despite the fact that cotton value chain has strategic importance in Pakistan in terms of its contributions towards GDP, employment, export earnings, poverty alleviation, and empowerment of women, its real value has not yet been realized. One area that has an effect on income of farmers and that has not received attention is the role of middleman in the agricultural marketing. The aims of this study were to address the skill gap of the commission agents and to develop techniques to bridge those gaps. Random sampling technique was used to determine sample size. The total sample size of the study was 50 respondents. SPSS (Statistical Package for Social Sciences) was employed to analyze the collected data. Results show that most of the respondents were in their productive ages to make effective decisions and understand features of doing business. Of the total respondents 6% had no education while 94% had education of varied level. Respondents were experienced in doing business of cotton marketing. Most of the commission agents were having awareness gap regarding quality characteristics of cotton. Commission agents had moderate skills level in management of various marketing costs. Mostly the commission agents were not considering fiber fineness, fiber length, fiber strength, fiber maturity and contamination due to hair as factors towards low prices and poor quality of cotton. Weak capacity of institutional infrastructure and lack of marketing system was the major constraint in marketing of cotton. Commission agents should be equipped with training regarding maintenance of quality attributes, management of marketing costs and controlling of various factors affecting price and quality of cotton.  

scholarly journals Quality Detection System of Transparent Nonel Tubes Based on Image Processing

2015 ◽  
Vol 9 (1) ◽  
pp. 697-702
Author(s):  
Guodong Sun ◽  
Wei Xu ◽  
Lei Peng
Keyword(s):  
Image Processing ◽  
Detection Method ◽  
Detection System ◽  
Recognition Rate ◽  
Human Vision ◽  
Detection Methods ◽  
Detection Accuracy ◽  
External Diameter ◽  
Quality Detection

The traditional quality detection method for transparent Nonel tubes relies on human vision, which is inefficient and susceptible to subjective factors. Especially for Nonel tubes filled with the explosive, missed defects would lead to potential danger in blasting engineering. The factors affecting the quality of Nonel tubes mainly include the uniformity of explosive filling and the external diameter of Nonel tubes. The existing detection methods, such as Scalar method, Analysis method and infrared detection technology, suffer from the following drawbacks: low detection accuracy, low efficiency and limited detection items. A new quality detection system of Nonel tubes has been developed based on machine vision in order to overcome these drawbacks. Firstly the system architecture for quality detection is presented. Then the detection method of explosive dosage and the relevant criteria are proposed based on mapping relationship between the explosive dosage and the gray value in order to detect the excessive explosive faults, insufficient explosive faults and black spots. Finally an algorithm based on image processing is designed to measure the external diameter of Nonel tubes. The experiments and practical operations in several Nonel tube manufacturers have proved the defect recognition rate of proposed system can surpass 95% at the detection speed of 100m/min, and system performance can meet the quality detection requirements of Nonel tubes. Therefore this quality detection method can save human resources and ensure the quality of Nonel tubes.

Temporary Grounding Lines Detection Method for Distribution Network and its EMTDC Simulation

2014 ◽  
Vol 971-973 ◽  
pp. 1361-1367
Author(s):  
Le Feng Cheng ◽  
Lin Fei Yin ◽  
Jing Jiang ◽  
Tao Yu
Keyword(s):  
Signal Processing ◽  
Simple Structure ◽  
Detection Method ◽  
System Simulation ◽  
Short Circuit ◽  
Simulation Software ◽  
Detection Methods ◽  
Power System Simulation ◽  
Induced Voltage ◽  
Factors Affecting

In order to solve the safety problem of disassembling the grounding wire temporarily for line maintenance and prevent an anthropogenic short-circuit accident from happening, this paper firstly proposes two safe and convenient detection methods based on directly signal injecting and induced voltage. Then, adopt the power system simulation software PSCAD/EMTDC to build model, some important factors affecting the effect of detecting are studied, which include frequency of signal, no-load transformer, magnetic induced voltage, joint use on the same tower, etc. Finally, a temporary ground wire detection device is developed which is based on the detection methods proposed and also based on modern power electronics technology and signal processing technology, and the field test verify the feasibility and practicability. The developed detection device has some advantages, such as safe-testing, simple structure and operation, easy promotion and so on.

scholarly journals Comparative Analysis of common Edge Detection Algorithms using Pre-processing Technique

2017 ◽  
Vol 7 (5) ◽  
pp. 2574 ◽  
Author(s):  
R. Vijaya Kumar Reddy ◽  
K. Prudvi Raju ◽  
M. Jogendra Kumar ◽  
L. Ravi Kumar ◽  
P Ravi Prakash ◽  
...  
Keyword(s):  
Edge Detection ◽  
Detection Method ◽  
Processing Technique ◽  
Detection Methods ◽  
Common Edge ◽  
Detection Algorithms ◽  
Segmentation Methods ◽  
Edge Detection Method ◽  
Inherent Quality

<p>Edge detection is the process of segmenting an image by detecting discontinuities in brightness. So far, several standard segmentation methods have been widely used for edge detection. However, due to inherent quality of images, these methods prove ineffective if they are applied without any preprocessing. In this paper, an image preprocessing approach has been adopted in order to get certain parameters that are useful to perform better edge detection with the standard edge detection methods. The proposed preprocessing approach involves median filtering to reduce the noise in image and then Edge Detection technique is carried out. And atlast Standard edge detection methods can be applied to the resultant preprocessing image and its Simulation results are show that our preprocessed approach when used with a standard edge detection method enhances its performance.</p>

Customer’s satisfaction on service quality at Vietnam Technological and Commercial Joint Stock Bank – An Giang Branch

2020 ◽  
Vol 4 (3) ◽  
pp. First
Author(s):  
Tran Minh Hieu ◽  
Nguyen Duong Ngoc Mai Chi
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Test Method ◽  
Quality Of Services ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Alpha Reliability ◽  
Survey Results ◽  
Development Orientation

This study applied SERVQUAL scale of Parasuraman et al to measure factors affecting customer satisfaction on service quality at Vietnam Technological and Commercial Joint Stock Bank - An Giang Branch (Techcombank An Giang). The study was conducted to survey 207 customers who have been using the service at Techcombank An Giang. The survey results were analyzed by the Cronbach's Alpha reliability test method, then used Exploratory factor analysis (EFA) to verify and evaluate the scale of service quality. The results of the regression analysis show that customer's satisfaction about service quality at Techcombank An Giang includes four factors: The factor with the highest level is the Empathy with Beta = 0.253, the second of factor is the Responsibility with Beta = 0.248, ranked third in the influence level is the Tangible with Beta = 0.235, and the lowest impact level is the Reliability with Beta = 0.144. The research also uses statistical methods to describe and test the differences of demographic factors with customer's satisfactionon service quality.The analysis results show that there is no difference between customer's satisfaction on service quality and factors such as gender, age, income, number of transaction banks, regular transaction banks, and time to use the service at Techcombank An Giang. Through the research results, the author would like to propose some ideas to improve the quality of services, thereby attracting new customers and importantly, keeping traditional customers because the development orientation of Techcombank is to take care of old customers to cross sell other products of the bank. The Stud results offer a basis for the branch to identify the factors influencing customer satisfaction on their service quality, thereby having an appropriate strategy to improve customer satisfaction.

Sign in / Sign up

Export Citation Format

Share Document