scholarly journals Estimating the Influence of Improper Workplace Environment on Human Error: Posterior Predictive Analysis

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Pin-Chao Liao ◽  
Mei Liu ◽  
Yu-Sung Su ◽  
Hui Shi ◽  
Xintong Luo
Keyword(s):  
Real World ◽  
Human Error ◽  
Estimation Method ◽  
Parameter Learning ◽  
Network Parameter ◽  
New Approach ◽  
Workplace Environment ◽  
Predictive Simulation ◽  
Cognitive Failure ◽  
Inspection Data

A model for identifying, analyzing, and quantifying the mechanisms for the influence of improper workplace environment on human error in elevator installation is proposed in this study. By combining a modification of a human error model with real-world inspection data collected by an elevator installation company, the influence paths of improper workplace environment on the conditional probability of human error were quantified using a Bayesian network parameter-learning estimation method and posterior predictive simulation. Under the condition of an improper workplace environment, the probability of human error increased by 80% of its original value, a factor much higher than that resulting from improper management. The most probable influence was found to be improper workmanship and changes in the information required by the worker, thus triggering cognitive failure and consequent unsafe actions by workers. The proposed methodology (posterior predictive simulation) provides a new approach in construction studies for quantifying the probabilistic levels of various causal paths, and the results show the key mechanism for the influence of improper workplace environment on human error using real-world mechanical installation data.

scholarly journals Research on a novel data-driven aging estimation method for battery systems in real-world electric vehicles

2021 ◽  
Vol 13 (7) ◽  
pp. 168781402110277
Author(s):  
Yankai Hou ◽  
Zhaosheng Zhang ◽  
Peng Liu ◽  
Chunbao Song ◽  
Zhenpo Wang
Keyword(s):  
Electric Vehicles ◽  
Real World ◽  
Regression Models ◽  
Estimation Method ◽  
Recursive Least Squares ◽  
Data Driven ◽  
Accurate Estimation ◽  
Support Vector ◽  
Battery Degradation ◽  
Operational Data

Accurate estimation of the degree of battery aging is essential to ensure safe operation of electric vehicles. In this paper, using real-world vehicles and their operational data, a battery aging estimation method is proposed based on a dual-polarization equivalent circuit (DPEC) model and multiple data-driven models. The DPEC model and the forgetting factor recursive least-squares method are used to determine the battery system’s ohmic internal resistance, with outliers being filtered using boxplots. Furthermore, eight common data-driven models are used to describe the relationship between battery degradation and the factors influencing this degradation, and these models are analyzed and compared in terms of both estimation accuracy and computational requirements. The results show that the gradient descent tree regression, XGBoost regression, and light GBM regression models are more accurate than the other methods, with root mean square errors of less than 6.9 mΩ. The AdaBoost and random forest regression models are regarded as alternative groups because of their relative instability. The linear regression, support vector machine regression, and k-nearest neighbor regression models are not recommended because of poor accuracy or excessively high computational requirements. This work can serve as a reference for subsequent battery degradation studies based on real-time operational data.

scholarly journals Simplification and Detection of Outlying Trajectories from Batch and Streaming Data Recorded in Harsh Environments

2019 ◽  
Vol 8 (6) ◽  
pp. 272 ◽  
Author(s):  
Iq Reviessay Pulshashi ◽  
Hyerim Bae ◽  
Hyunsuk Choi ◽  
Seunghwan Mun ◽  
Riska Asriana Sutrisnowati
Keyword(s):  
South Korea ◽  
Real World ◽  
Experimental Evaluation ◽  
Streaming Data ◽  
Harsh Environments ◽  
Noise Filtering ◽  
New Approach ◽  
Detection Algorithms ◽  
Outlying Point

Analysis of trajectory such as detection of an outlying trajectory can produce inaccurate results due to the existence of noise, an outlying point-locations that can change statistical properties of the trajectory. Some trajectories with noise are repairable by noise filtering or by trajectory-simplification. We herein propose the application of a trajectory-simplification approach in both batch and streaming environments, followed by benchmarking of various outlier-detection algorithms for detection of outlying trajectories from among simplified trajectories. Experimental evaluation in a case study using real-world trajectories from a shipyard in South Korea shows the benefit of the new approach.

Between Real and Ideal: Documenting Media Art

Leonardo ◽  
2008 ◽  
Vol 41 (4) ◽  
pp. 418-419 ◽  
Author(s):  
Caitlin Jones ◽  
Lizzie Muller
Keyword(s):  
Data Structure ◽  
Real World ◽  
Media Art ◽  
New Approach ◽  
The Real ◽  
Key Features ◽  
The Ideal

This paper describes a new approach to documenting media art which seeks to place in dialogue the artist's intentions and the audience's experience. It explicitly highlights the productive tension between the ideal, conceptual existence of the work, and its actual manifestation through different iterations and exhibitions in the real world. The paper describes how the approach was developed collaboratively during the production of a documentary collection for the artwork Giver of Names, by David Rokeby. It outlines the key features of the approach including artist's interview, audience interviews and data structure.

Invisible Social Identity Exercise

2018 ◽  
Vol 5 (4) ◽  
pp. 324-334
Author(s):  
Kathleen B. Duncan
Keyword(s):  
Social Identity ◽  
Lived Experience ◽  
Real World ◽  
Social Identity Theory ◽  
Identity Theory ◽  
Social Identities ◽  
Diversity Courses ◽  
Difficult Situation ◽  
Workplace Environment ◽  
The Invisible

Diversity courses cover a variety of relevant topics, but it is difficult to convey the dilemmas those with stigmatized, invisible social identities may encounter in the workplace. This exercise attempts to situate students in the perspective of both the person with the invisible identity and those who may unintentionally place that person in a difficult situation. Five role-plays with scenarios that reflect real-world situations allow students to heighten their sensitivity and understanding in workplace situations that may involve invisible social identities. The learning builds on the students’ lived experience and links stigma and invisible social identity theory to their workplace environment.

scholarly journals Putting resilient sustainability into strategy decisions – case studies

2018 ◽  
Vol 56 (7) ◽  
pp. 1598-1612 ◽  
Author(s):  
Julie Winnard ◽  
Jacquetta Lee ◽  
David Skipp
Keyword(s):  
Case Studies ◽  
Real World ◽  
Design Methodology ◽  
Strategic Decision ◽  
New Approach ◽  
Content Type ◽  
Industrial Companies ◽  
Different Types ◽  
Strategic Decision Support ◽  
Practical Implications

Purpose The purpose of this paper is to report the results of testing a new approach to strategic sustainability and resilience – Sustainable Resilient Strategic Decision-Support (SuReSDS™). Design/methodology/approach The approach was developed and tested using action-research case studies at industrial companies. It successfully allowed the participants to capture different types of value affected by their choices, optimise each strategy’s resilience against different future scenarios and compare the results to find a “best” option. Findings SuReSDS™ enabled a novel integration of environmental and social sustainability into strategy by considering significant risks or opportunities for an enhanced group of stakeholders. It assisted users to identify and manage risks from different kinds of sustainability-related uncertainty by applying resilience techniques. Users incorporated insights into real-world strategies. Research limitations/implications Since the case studies and test organisations are limited in number, generalisation from the results is difficult and requires further research. Practical implications The approach enables companies to utilise in-house and external experts more effectively to develop sustainable and resilient strategies. Originality/value The research described develops theories linking sustainability and resilience for organisations, particularly for strategy, to provide a new consistent, rigorous and flexible approach for applying these theories. The approach has been tested successfully and benefited real-world strategy decisions.

Serverless, FaaS and why organizations need them

2021 ◽  
pp. 1-14
Author(s):  
Irina Astrova ◽  
Arne Koschel ◽  
Marc Schaaf ◽  
Samuel Klassen ◽  
Kerim Jdiya
Keyword(s):  
Real World ◽  
Cloud Service ◽  
Software Architectures ◽  
Service Platform ◽  
New Approach ◽  
The Real ◽  
Operational Costs ◽  
The Future ◽  
Depth Study ◽  
Cloud Service Platform

This paper is aimed at helping organizations to understand what they can expect from a serverless architecture in the future and how they can make sound decisions about the choice between microservice and serverless architectures in the present. A serverless architecture is a new approach to offering services in the cloud. It was invented as a solution to the problem that many organizations are facing today – about 85% of their servers have underutilized capacity, which is proved to be costly and wasteful. By employing the serverless architecture, the organizations get a way to eliminate idle, underutilized servers and thus, to reduce their operational costs. Many cloud providers are now jumping to the serverless world because they know it is going to be the future of software architectures. However, being a new approach, the serverless architecture is still relatively immature – it is in the early stages of its support by cloud service platform providers. This paper provides an in-depth study about the serverless architecture and how to apply FaaS in the real world.

Raising doubt about the anticipated consequences of suicidal behavior: Evidence for a new approach from laboratory and real-world experiments

2021 ◽  
pp. 103971
Author(s):  
Jessica D. Ribeiro ◽  
Kathryn P. Linthicum ◽  
Lauren M. Harris ◽  
Chloe P. Bryen ◽  
Catherine E. Broshek
Keyword(s):  
Suicidal Behavior ◽  
Real World ◽  
New Approach
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