Towards Enhanced Comprehension of Human Errors in Cybersecurity Attacks

2018 ◽  
pp. 163-175
Author(s):  
Mohammad Algarni ◽  
Saad Almesalm ◽  
Muntaser Syed
Keyword(s):  
Human Errors

Locus of Control, Safety Attitudes and Involvement in Hazardous Events in Indian Army Aviators

2013 ◽  
Vol 3 (1) ◽  
pp. 9-18 ◽  
Author(s):  
Catherine Joseph ◽  
Suhasini Reddy ◽  
Kanwal Kashore Sharma
Keyword(s):  
Locus Of Control ◽  
Future Research ◽  
Research Needs ◽  
Negative Attitudes ◽  
Human Errors ◽  
Safety Attitudes ◽  
Positive Correlation ◽  
Self Confidence

Locus of control (LOC), safety attitudes, and involvement in hazardous events were studied in 205 Indian Army aviators using a questionnaire-based method. A positive correlation was found between external LOC and involvement in hazardous events. Higher impulsivity and anxiety, and decreased self-confidence, safety orientation, and denial were associated with a greater number of hazardous events. Higher external LOC was associated with higher impulsivity, anxiety, and weather anxiety and with lower self-confidence, safety orientation, and denial. Internal LOC was associated with increased self-confidence, safety orientation, and denial. Hazardous events and self-confidence were higher in those involved in accidents than those not involved in accidents. Future research needs to address whether training can effectively modify LOC and negative attitudes, and whether this would cause a reduction in, and better management of, human errors.

Developing Food Sensory Analysis Information System using Waterfall Software Engineering Model

2017 ◽  
Vol 4 (2) ◽  
pp. 63-81
Author(s):  
Stefanus Oliver ◽  
Abdullah Muzi Marpaung ◽  
Maulahikmah Galinium
Keyword(s):  
Software Engineering ◽  
Sensory Analysis ◽  
Acceptance Testing ◽  
Design Activity ◽  
User Requirements ◽  
Human Errors ◽  
Web Based ◽  
Entity Relationship ◽  
Entity Relationship Diagram ◽  
Analysis System

Food sensory analysis is the terms from the field of Food Technology that has a meaning which means sensory evaluation of food that is conducted by the food sensory evaluators. Currently, food sensory analysis is conductedmanually. It can caus e human errors and consume much ti me. The objective of this research is to build a web based application that is specific for food sensory analysis using PHP programming language. This research followsfour first steps of waterfall software engineering mod el which are user requirements ana lysis (user software and requirements analysis), system design (activity, use cases, architecture, and entity relationship diagram),implementation (software development), and testing (software unit, functionality, validit y, and user acceptance testing). T he software result is well built. It is also acceptable for users and all functionality features can run well after going through those four software testing. The existence of the software brings easiness to deal with the manual food sensory analysis exper iment. It is considered also for the future it has business value by having open source and premium features.

Risk assessment of probable human errors in scaffold erection and dismantling procedure: A fuzzy approach

2021 ◽  
pp. 1-16
Author(s):  
Sepideh Abbaszadeh ◽  
Mehdi Jahangiri ◽  
Maryam Abbasi ◽  
Sean Banaee ◽  
Payam Farhadi
Keyword(s):  
Risk Assessment ◽  
Fuzzy Approach ◽  
Human Errors

scholarly journals How Does Metro Maintenance Staff’s Risk Perception Influence Safety Citizenship Behavior—The Mediating Role of Safety Attitude

2021 ◽  
Vol 18 (10) ◽  
pp. 5466
Author(s):  
Huaiyuan Zhai ◽  
Mengjie Li ◽  
Shengyue Hao ◽  
Mingli Chen ◽  
Lingchen Kong
Keyword(s):  
New York ◽  
Risk Perception ◽  
Positive Influence ◽  
Attitude Scale ◽  
Citizenship Behavior ◽  
Accident Rate ◽  
Human Errors ◽  
Mediating Role ◽  
Safety Attitude

The accident rate is high in subway maintenance work, and most of the accidents are caused by human factors, especially the lack of sensitivity to risk perception, the lack of rigorous attitude towards safety and the lack of safe citizenship behavior (SCB). Therefore, it is very important to study the risk perception (RP), safety attitude (SA) and SCB of metro maintenance staff in order to reduce the accident rate. In order to reduce human errors and accidents, this study analyzed the influence of metro maintenance staff’s RP on their SCB and the mediating role of SA. Based on previous studies, this paper uses the risk perception scale, safety attitude scale and safety citizenship behavior scale as research tools. A survey was administered at the Subway Company, and altogether 268 valid questionnaires were used, and the data were analyzed by SPSS19.0 (IBM, Armonk, NY, USA) and AMOS 24.0 (IBM, Armonk, New York, NY, USA). The result reveals that SA plays a complete mediating role between metro maintenance staff’s RP and their SCB; and SA has a positive influence on SCB; RP has a positive influence on SA; and SA positively predicts SCB.

scholarly journals Diabetes classification application with efficient missing and outliers data handling algorithms

2021 ◽  
Author(s):  
Hanaa Torkey ◽  
Elhossiny Ibrahim ◽  
EZZ El-Din Hemdan ◽  
Ayman El-Sayed ◽  
Marwa A. Shouman
Keyword(s):  
Deep Learning ◽  
Healthcare System ◽  
Wearable Sensors ◽  
Model Performance ◽  
Analysis Model ◽  
Human Errors ◽  
Web Based ◽  
Machine Learning Model ◽  
Complete Dataset ◽  
Smart Wearable

AbstractCommunication between sensors spread everywhere in healthcare systems may cause some missing in the transferred features. Repairing the data problems of sensing devices by artificial intelligence technologies have facilitated the Medical Internet of Things (MIoT) and its emerging applications in Healthcare. MIoT has great potential to affect the patient's life. Data collected from smart wearable devices size dramatically increases with data collected from millions of patients who are suffering from diseases such as diabetes. However, sensors or human errors lead to missing some values of the data. The major challenge of this problem is how to predict this value to maintain the data analysis model performance within a good range. In this paper, a complete healthcare system for diabetics has been used, as well as two new algorithms are developed to handle the crucial problem of missed data from MIoT wearable sensors. The proposed work is based on the integration of Random Forest, mean, class' mean, interquartile range (IQR), and Deep Learning to produce a clean and complete dataset. Which can enhance any machine learning model performance. Moreover, the outliers repair technique is proposed based on dataset class detection, then repair it by Deep Learning (DL). The final model accuracy with the two steps of imputation and outliers repair is 97.41% and 99.71% Area Under Curve (AUC). The used healthcare system is a web-based diabetes classification application using flask to be used in hospitals and healthcare centers for the patient diagnosed with an effective fashion.

If human errors are assumed as crimes in a safety culture: A lifeworld analysis of a rail crash

2009 ◽  
Vol 62 (9) ◽  
pp. 1267-1287 ◽  
Author(s):  
Nobuyuki Chikudate
Keyword(s):  
Safety Culture ◽  
Unintended Consequences ◽  
The West ◽  
Human Errors ◽  
Railway Company ◽  
Learning Practices ◽  
Train Driver

This study reanalyses the commuter train incident that involved the West Japan Railway Company (JR West). The incident, which occurred on 25 April 2005, claimed 107 lives (passengers and the train driver) and injured 562 passengers. The delay in using the brake and the train driver’s inattention generated confusion and serious errors. The train driver’s inattentiveness may be attributed to his grave concern over reporting personal mistakes to company authorities as it is mandatory for erring JR West crew members to go through ‘learning practices’. The phenomenological analyses showed how the unintended consequences of such learning practices played a key role in the train incident. This study also draws on Foucault’s concepts on discipline to analyse the learning practices in JR West, and employs the concept of collective myopia to account for the reasoning of JR West managers.

Testing the Accuracy of Surface Roughness Measurements Carried out with a Portable Profilometer

2015 ◽  
Vol 637 ◽  
pp. 69-73 ◽  
Author(s):  
Krzysztof Stępień
Keyword(s):  
Surface Roughness ◽  
Measurement Accuracy ◽  
Environmental Changes ◽  
Experimental Tests ◽  
Evaluation Procedure ◽  
Human Errors ◽  
Modern Manufacturing ◽  
Machine Parts ◽  
Roughness Measurements

Surface roughness is a factor that has a vital influence on overall quality of machine parts. This is the reason why proper measurements of surface roughness are a matter of great importance in modern manufacturing technology. Nowadays portable profilometers are common instruments to be used under industrial conditions. Measurements with such instruments can be affected by numerous factors, for example environmental changes, human errors of an operator, etc. This paper discusses problem of an evaluation of measurement accuracy of portable profilometers. It also describes the evaluation procedure and presents results experimental tests.

scholarly journals Human Behaviour Analysis of Barrier Deviations Using a Benefit-Cost-Deficit Model

2009 ◽  
Vol 2009 ◽  
pp. 1-10 ◽  
Author(s):  
Philippe Polet ◽  
Frédéric Vanderhaegen ◽  
Patrick Millot
Keyword(s):  
Experimental Study ◽  
Human Behaviour ◽  
Safety Criterion ◽  
Human Errors ◽  
Deficit Model ◽  
Behaviour Analysis ◽  
Barrier Removal ◽  
Human Operators ◽  
Benefit Cost

A Benefit-Cost-Deficit (BCD) model is proposed for analyzing such intentional human errors as barrier removal, the deliberate nonrespect of the rules and instructions governing use of a given system. The proposed BCD model attempts to explain and predict barrier removal in terms of the benefits, costs, and potential deficits associated with this human behaviour. The results of an experimental study conducted on a railway simulator (TRANSPAL) are used to illustrate the advantages of the BCD model. In this study, human operators were faced with barriers that they could choose to deactivate, or not. Their decisions were analyzed in an attempt to explain and predict their choices. The analysis highlights that operators make their decisions using a balance between several criteria. Though barriers are safety-related elements, the decision to remove them is not guided only by the safety criterion; it is also motivated by such criteria as productivity, workload, and quality. Results of prediction supported by the BCD demonstrate the predictability of barrier violation

Some reliability measures for three component-system in the presence of CCS failures and human errors

2010 ◽  
Vol 13 (2) ◽  
pp. 143-151 ◽  
Author(s):  
G. Y. Sagar ◽  
Y. R. Reddy ◽  
C. Umashankar ◽  
S. M. Verma
Keyword(s):  
Reliability Measures ◽  
Human Errors ◽  
Component System
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