The SafetyOps Dilemma: a Systematic Mapping Study on Rapidity in Safe AD Development - Supplementary Materials

Supplementary Material regarding included and excluded data, and the rationale

Socratic Seminars for Students with Autism Spectrum Disorders

This paper explores the possibilities of the pedagogical use of Socratic dialogue as a basis for educating students diagnosed with autism. The Socratic dialogue is a particular pedagogical method used in educational settings to enhance student’s thinking and dialogic abilities. Research has proven that Socratic dialogue may result in improved language, interactive, and critical thinking abilities, as well as have effect on students’ self-evaluation. The social nature of dialogic learning may scaffold children with specific abilities to effectively interact with others and perceive those others’ emotions. Presently, education of students diagnosed with an Autism Spectrum Disorders (ASDs) use a variety of educational interventions, mostly inspired by behaviorist theory. These include little or no systematic use of dialogue as a pedagogical means of scaffolding students' abilities. However, several of these behaviorist methods have been tried out for a long period, educating students with ASDs, and have also proved to be successful to certain extents. In this article, we explore why and how Socratic dialogue can be used as an effective strategy for educating individuals diagnosed with autism. Hence, the investigation ends by introducing a dialogue-based teaching design that is compatible for children diagnosed with ASDs, to be explored and evaluate

From Waste to Value: A Practical Framework for Waste Identification and Mitigation Using Lean Management Principles

In the complex and fast-changing marketing environment, there is a constant need to reduce costs and enhance the performance of production systems. The cost-cutting strategies need to consider the long-term effect on the company. For example, the layoff may reduce the cost in the short term, but in the long term, it may significantly affect employees' psychological safety and increase human error. Hence, any changes in the company must be based on a clear management philosophy. Lean management focuses on continuously improving processes by eliminating non-value-adding activities. It tries to create more value for customers with fewer resources, increasing efficiency, quality, and customer satisfaction. Lean philosophy considers these non-value activities in three general categories: overburden, unevenness, and waste, and tries to remove them from the value production cycle through the continuous development process. Although the lean management style is a well-known approach style, there is much difficulty in implementing this approach. One of the main reasons is the organization's culture and habits, daily routine, and approach, which may not be aligned with lean thinking. Furthermore, for lean thinking to be effectively applied throughout the organization, it must be comprehensible and straightforward. In some cases, the Lean tools need to modify based on the already well-developed approach of the company. The main goal of this paper is to present a practical approach for implementing Lean thinking in identifying and prioritizing non-value activities for the industry. Here, "Waste walking" and "Value-stream mapping" lean tools and the FMECA principle are used to develop "waste ranking criteria" for the identification and prioritization of non-value activities

Simulated Tornado Optimization

We propose a swarm-based optimization algorithm inspired by air currents of a tornado. Two main air currents - spiral and updraft - are mimicked. Spiral motion is designed for exploration of new search areas and updraft movements is deployed for exploitation of a promising candidate solution. Assignment of just one search direction to each particle at each iteration, leads to low computational complexity of the proposed algorithm respect to the conventional algorithms. Regardless of the step size parameters, the only parameter of the proposed algorithm, called tornado diameter, can be efficiently adjusted by randomization. Numerical results over six different benchmark cost functions indicate comparable and, in some cases, better performance of the proposed algorithm respect to some other metaheuristics.Comment: 6 pages, 15 figures, 1 table, IEEE International Conference on Signal Processing and Intelligent System (ICSPIS16), Dec. 201

An Investigation of Local Site Effects Using Linear and Nonlinear analysis and Comparison Between Them

Recent code provisions for building and other structures (1994 and 1997 NEHRP provisions, 1997 UBC) have adopted new site classification. The new site classification system is based on average shear wave velocity to a depth of 30 m. when the shear wave velocity is not available; other soil properties such as undrained shear strength can be used. The study of propagation damages in various earthquakes illustrates the importance of the site effect on the ground seismic characteristics. From the point of the earthquake engineering view, the most important characteristics of the strong ground motion are amplitude, frequency content and duration. All of these properties have a significant effect on earthquake damage. The behavior of soils under cyclic loading is basically nonlinear and hysteretic. Ground response analysis is used to predict the movements of the ground and develop a design response spectrum in order to determine the dynamic stresses and strains and earthquake forces. The profile was studied by using various methods of soil response analysis and finally, the results were examined. In this paper, soil responses were examined by NERA, EERA software and the results compared with each other. Eventually, we concluded that the values obtained from the EERA are more than the value obtained from the NEERA software

Resilience Assessment: A Performance‐Based Importance Measure

The resilience of a system can be considered as a function of its reliability and recoverability. Hence, for effective resilience management, the reliability and recoverability of all components which build up the system need to be identified. After that, their importance should be identified using an appropriate model for future resource allocation. The critical infrastructures are under dynamic stress due to operational conditions. Such stress can significantly affect the recoverability and reliability of a system‘s components, the system configuration, and consequently, the importance of components. Hence, their effect on the developed importance measure needs to be identified and then quantified appropriately. The dynamic operational condition can be modeled using the risk factors. However, in most of the available importance measures, the effect of risk factors has not been addressed properly. In this paper, a reliability importance measure has been used to determine the critical components considering the effect of risk factors. The application of the model has been shown through a case study