Safe-Platoon

2019 ◽  
Vol 11 (2) ◽  
pp. 26-37
Author(s):  
Mohamed Garoui
Keyword(s):  
Failure Modes ◽  
Formal Model ◽  
Quantitative Estimation ◽  
Research Field ◽  
System Complexity ◽  
Activity Network ◽  
Open Research ◽  
Stochastic Activity

Building a safety model to make expert decisions is an approach to improve the safety of a system. The issue of safe modeling and analyzing such domain is still an open research field. Providing quantitative estimation of a system's safety is an interesting method to study system complexity. This article explores the author's current methods and proposes a new formal model for quantitative estimation based on a stochastic activity network (SAN). This model is built based on some failure modes that affect platoon vehicles.

scholarly journals Tutkimusaineiston avoin jakaminen – tutkimusorganisaatioiden jäsenten käsityksiä, kokemuksia ja mielipiteitä

2018 ◽  
Vol 37 (4) ◽  
Author(s):  
Heidi Enwald
Keyword(s):  
Data Sharing ◽  
Data Storage ◽  
Online Survey ◽  
Open Science ◽  
Research Data ◽  
Research Field ◽  
Open Research ◽  
Research Organizations ◽  
Data Collection Instrument ◽  
In The Beginning

Open research data is data that is free to access, reuse, and redistribute. This study focuses on the perceptions, opinions and experiences of staff and researchers of research institutes on topics related to open research data. Furthermore, the differences across gender, role in the research organization and research field were investigated. An international questionnaire survey, translated into Finnish and Swedish, was used as the data collection instrument. An online survey was distributed through an open science related network to Finnish research organizations. In the end, 469 responded to all 24 questions of the survey. Findings indicate that many are still unaware or uncertain about issues related to data sharing and long-term data storage. Women as well as staff and researchers of medical and health sciences were most concerned about the possible problems associated with data sharing. Those in the beginning of their scientific careers, hesitated about sharing their data.

scholarly journals Carbon-10: Example of cyclotron production of positron emitters as an open research field

2007 ◽  
Vol 76 (2) ◽  
pp. 343-346 ◽  
Author(s):  
F. Alves ◽  
J.J.P. Lima ◽  
R.J. Nickles ◽  
M. Jensen
Keyword(s):  
Research Field ◽  
Cyclotron Production ◽  
Open Research ◽  
Positron Emitters

scholarly journals When Computational Representation Meets Neuroscience: A Survey on Brain Encoding and Decoding

2021 ◽  
Author(s):  
Lu Cao ◽  
Dandan Huang ◽  
Yue Zhang
Keyword(s):  
Language Processing ◽  
Research Field ◽  
Language Models ◽  
Research Progress ◽  
Artificial Intelligent ◽  
Comprehensive Review ◽  
Open Research ◽  
Research Questions ◽  
The Relationship ◽  
Computational Representation

Real human language mechanisms and the artificial intelligent language processing methods are two independent systems. Exploring the relationship between the two can help develop human-like language models and is also beneficial to reveal the neuroscience of the reading brain. The flourishing research in this interdisciplinal research field calls for surveys to systemically study and analyze the recent successes. However, such a comprehensive review still cannot be found, which motivates our work. This article first briefly introduces the interdisciplinal research progress, then systematically discusses the task of brain decoding from the perspective of simple concepts and complete sentences, and also describes main limitations in this field and put forward with possible solutions. Finally, we conclude this survey with certain open research questions that will stimulate further studies.

A New Approach to Determine the Critical Path in Stochastic Activity Network

2014 ◽  
Author(s):  
Eng Ming Chu ◽  
Koan Yuh Chang ◽  
Chien Yu Lu ◽  
Chang Hung Hsu ◽  
Chien Hung Liu ◽  
...  
Keyword(s):  
Critical Path ◽  
New Approach ◽  
Activity Network ◽  
Stochastic Activity

THE MANAGEMENT OF TRANSFORMATION IN EAST GERMAN FIRMS

1996 ◽  
Vol 04 (01) ◽  
pp. 57-77 ◽  
Author(s):  
PETER WITT
Keyword(s):  
Network Analysis ◽  
East Germany ◽  
Transformation Process ◽  
Optimal Sequence ◽  
Activity Network ◽  
Large Project ◽  
East German ◽  
Time Required ◽  
Transformation Processes ◽  
Stochastic Activity

The transformation of East Germany from a socialist to a market economy has brought about the need to restructure all East German firms. Managing this transformation process is comparable to the planning and controlling of a large project in a quickly changing economic environment. The main goal for the managers of firms in transition is to ensure the survival of their companies and to reduce the time required for the restructuring processes. The purpose of this study is to assess stochastic activity network analysis as a tool for the management of transformation. Network analysis allows to identify the necessary management activities, to plan the optimal sequence of these activities, and to control ongoing transformation processes. Our experiences so far suggest that the stochastic activity network technique GERT is a well suited technique for the analysis of transformation processes. To illustrate this new application of GERT, the study presents a simulation of a GERT activity network for the transformation process of a firm. The simulation is based on more than 20 in-depth case studies conducted in East Germany.

Study of Risk Evaluation System of High Arch Dam Based on Failure Mechanism

2009 ◽  
Vol 417-418 ◽  
pp. 541-544
Author(s):  
Zai Tie Chen
Keyword(s):  
Risk Evaluation ◽  
Evaluation System ◽  
Failure Modes ◽  
Quantitative Estimation ◽  
Arch Dam ◽  
Dam Failure ◽  
High Arch Dam ◽  
Arch Dams ◽  
Risk Evaluation System ◽  
High Arch Dams

In view of the randomness in terms of high arch dam load, resistance and failure calamity loss as well as the fuzziness in terms of evaluation conclusion, a high arch dam risk evaluation system is established by means of risk analysis method. Natural factors, structural factors and human factors that lead to high arch dam failure are summed up on the basis of statistics. Through qualitative analysis coupled with quantitative estimation, it is determined that high arch dams generally involve five major failure modes: abutment rock mass destabilization, excess cracking, arch dam & dam foundation entire destabilization, extreme dam-overflow and destabilization of dam body along base plane. The state functions of individual major failure modes are established. An approach is made to the correlativity among the major failure modes and among the random variables within individual failure modes, and it is suggested that risk rate, economic loss risk value and life loss risk value should be used to assess the risk of high arch dams. A certain high arch dam abutment instability risk evaluation has been provided.

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