The Accident Network (AcciNet): A new accident analysis method for describing the interaction between normal performance and failure

Author(s):  
Paul Salmon ◽  
Adam Hulme ◽  
Guy H. Walker ◽  
Patrick Waterson ◽  
Neville A. Stanton

Accidents continue to create an unacceptable personal, social, and economic burden in many domains. Various accident analysis methods exist; however, key limitations have been identified. This paper describes a new accident analysis method, the Accident Network (AcciNet), that was recently developed as part of an ongoing collaboration between Human Factors and Ergonomics research groups from Australia and the United Kingdom. The method is demonstrated via an analysis of the Uber-Volvo fatal pedestrian collision. The analysis demonstrates how AcciNet goes beyond current state-of-the-art accident analysis methods to consider the role of normal performance in accident causation and identify the interrelations between failures, normal performance, and both human and non-human actors in the system. We describe the implications for accident analysis in practice and outline the next steps of the research program, including formal reliability and validity testing of AcciNet and the development of practical training materials.

Author(s):  
S. Elakkiya ◽  
M. Asokhan

Entrepreneurship skills are an individual’s ability to make business in a profitable way. The study focused on to develop a tool to measure the entrepreneurial skill among the agripreneurs by reviewing of literature. Item selection and scoring procedure had been included in this study. Based on the reliability and validity testing, this study finalized the instruments to yielding seven indicators, namely, marketing dimension, psychological magnitude, managerial skill, behavioural skill, technical skill, communication competency, cognitive skill. It is recommended that future researchers apply and thereby extend the developed measure by cross-examining the instruments presented in this study across different entrepreneurs study. The results obtained will be helpful in planning and implementing the capacity development programmes. Among seven indictors and the respective sub indicators, the indicators and sub indicators having above 0.75 relative weightage score had taken for final index. The study found that marketing skill (0.88), psychological magnitude (0.89), behavioural skill (0.79), technical skill (0.83), communication competency (0.93) and cognitive skill (0.89) were the major skill of the agri entrepreneurs, should possess to run their business effectively and efficiently.


2016 ◽  
Vol 36 (5) ◽  
pp. 1356-1362 ◽  
Author(s):  
Mikako Yoshida ◽  
Yasuhiko Igawa ◽  
Shiho Higashimura ◽  
Motofumi Suzuki ◽  
Aya Niimi ◽  
...  

2007 ◽  
Vol 33 (5) ◽  
pp. 775-780 ◽  
Author(s):  
Karen Fitzner

The purpose of this article is to provide a brief review of reliability and validity testing. These concepts are important to researchers who are choosing techniques and/or developing tools that will be applied and evaluated in diabetes education practice. Several types of reliability and validity testing are defined, and an easy-to-use check sheet is provided for research purposes. Following testing for the basic aspects of reliability and validity such as face and construct validity, a tool may be appropriate for use in practice settings. Those conducting comprehensive outcomes evaluations, however, may desire additional validation such as testing for external validity. Diabetes educators can and should incorporate rigorous testing for these important aspects when conducting assessments of techniques and tools relating to diabetes self-management training.


10.28945/3027 ◽  
2006 ◽  
Author(s):  
Peter Eachus ◽  
Simon Cassidy

The aim of this research was to develop a scale that could evaluate an individuals confidence in using the Internet. Web-based resources are becoming increasingly important within higher education and it is therefore vital that students and staff feel confident and competent in the access, provision, and utilisation of these resources. The scale developed here represents an extension of previous research (Cassidy & Eachus, 2002) that developed a measure of self-efficacy in the context of computer use. An iterative approach was used in the development of the Web User SelfEfficacy scale (WUSE) and the participants were recruited from the student body of a large University in the North West of the United Kingdom, and globally via a web site set up for this purpose. Initial findings suggest that the scale has acceptable standards of reliability and validity though work is continuing to refine the scale and improve the psychometric properties of the tool.


1995 ◽  
Vol 9 (2) ◽  
pp. 218-227 ◽  
Author(s):  
Steven S. Seefeldt ◽  
Jens Erik Jensen ◽  
E. Patrick Fuerst

Dose-response studies are an important tool in weed science. The use of such studies has become especially prevalent following the widespread development of herbicide resistant weeds. In the past, analyses of dose-response studies have utilized various types of transformations and equations which can be validated with several statistical techniques. Most dose-response analysis methods 1) do not accurately describe data at the extremes of doses and 2) do not provide a proper statistical test for the difference(s) between two or more dose-response curves. Consequently, results of dose-response studies are analyzed and reported in a great variety of ways, and comparison of results among various researchers is not possible. The objective of this paper is to review the principles involved in dose-response research and explain the log-logistic analysis of herbicide dose-response relationships. In this paper the log-logistic model is illustrated using a nonlinear computer analysis of experimental data. The log-logistic model is an appropriate method for analyzing most dose-response studies. This model has been used widely and successfully in weed science for many years in Europe. The log-logistic model possesses several clear advantages over other analysis methods and the authors suggest that it should be widely adopted as a standard herbicide dose-response analysis method.


2020 ◽  
Vol 8 (3) ◽  
pp. 155-164
Author(s):  
Tarmizi Tarmizi ◽  
Siti Hodijah ◽  
Rosmeli Rosmeli

This study aims to analyze the development of GRDP, domestic investment, foreign investment, and exports in Jambi Province for the period 2000-2016, as well as to study the effect of domestic investment, foreign investment, and exports on the growth of GRDP of Jambi Province in the period 2000-2016. 2016. This research uses descriptive and quantitative analysis methods. The descriptive analysis method is used to analyze the development of each research variable, namely domestic investment, foreign investment, and exports. Quantitative analysis methods are used to analyze the effect of domestic investment, foreign investment, and exports on the growth of GRDP in Jambi province for the period 2000-2016. Based on the study results, the Jambi Province GRDP growth for the 2000-2016 period was 7.21 percent, domestic investment growth was 11.64 percent, foreign investment was 18.69 percent, and export development was 17.83 percent. And during the period 2000-2016, domestic investment, foreign investment, and exports had a significant effect on GRDP growth in Jambi Province. Keywords: Domestic investment, Foreign investment, Exports, PDRB Growth


Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4457 ◽  
Author(s):  
She ◽  
Zhu ◽  
Tian ◽  
Wang ◽  
Yokoi ◽  
...  

Feature extraction, as an important method for extracting useful information from surfaceelectromyography (SEMG), can significantly improve pattern recognition accuracy. Time andfrequency analysis methods have been widely used for feature extraction, but these methods analyzeSEMG signals only from the time or frequency domain. Recent studies have shown that featureextraction based on time-frequency analysis methods can extract more useful information fromSEMG signals. This paper proposes a novel time-frequency analysis method based on the Stockwelltransform (S-transform) to improve hand movement recognition accuracy from forearm SEMGsignals. First, the time-frequency analysis method, S-transform, is used for extracting a feature vectorfrom forearm SEMG signals. Second, to reduce the amount of calculations and improve the runningspeed of the classifier, principal component analysis (PCA) is used for dimensionality reduction of thefeature vector. Finally, an artificial neural network (ANN)-based multilayer perceptron (MLP) is usedfor recognizing hand movements. Experimental results show that the proposed feature extractionbased on the S-transform analysis method can improve the class separability and hand movementrecognition accuracy compared with wavelet transform and power spectral density methods.


2020 ◽  
Vol 21 (1) ◽  
pp. 62-78
Author(s):  
Stephen M. Danczak ◽  
Christopher D. Thompson ◽  
Tina L. Overton

The importance of developing and assessing student critical thinking at university can be seen through its inclusion as a graduate attribute for universities and from research highlighting the value employers, educators and students place on demonstrating critical thinking skills. Critical thinking skills are seldom explicitly assessed at universities. Commercial critical thinking assessments, which are often generic in context, are available. However, literature suggests that assessments that use a context relevant to the students more accurately reflect their critical thinking skills. This paper describes the development and evaluation of a chemistry critical thinking test (the Danczak–Overton–Thompson Chemistry Critical Thinking Test or DOT test), set in a chemistry context, and designed to be administered to undergraduate chemistry students at any level of study. Development and evaluation occurred over three versions of the DOT test through a variety of quantitative and qualitative reliability and validity testing phases. The studies suggest that the final version of the DOT test has good internal reliability, strong test–retest reliability, moderate convergent validity relative to a commercially available test and is independent of previous academic achievement and university of study. Criterion validity testing revealed that third year students performed statistically significantly better on the DOT test relative to first year students, and postgraduates and academics performed statistically significantly better than third year students. The statistical and qualitative analysis indicates that the DOT test is a suitable instrument for the chemistry education community to use to measure the development of undergraduate chemistry students’ critical thinking skills.


2019 ◽  
Vol 68 ◽  
pp. 187-196 ◽  
Author(s):  
Jiangshi Zhang ◽  
Wenyue Zhang ◽  
Peihui Xu ◽  
Na Chen

2014 ◽  
Vol 2 (3) ◽  
pp. 1-14
Author(s):  
Haotian Zhai ◽  
Hongbin Huang ◽  
Shaoyan He ◽  
Weiping Liu

Texture analysis plays an important role in image processing. In the field of texture analysis, the regular texture has been studied a lot, but the natural texture with complex backgrounds is less studied. This paper brings texture analysis into the study of rice paper's classification. First of all it shows the processing flow chart of rice paper classification. By comparing the different kinds of texture analysis methods it chooses the LAWS texture method and uncertainty texture spectrum method to achieve the rice paper classification. When it uses the two texture analysis methods separately, the classification accuracy of rice paper is lower, so it tries to combine the two texture analysis methods. The experimental results show that the classification result got with two combined texture analysis methods is better than that got with one single texture analysis method. The classification accuracy of rice paper has been distinctly improved after the combination of the two texture analysis methods.


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