scholarly journals Technique of Recovery Process and Application of AI in Error Recovery Using Task Stratification and Error Classification

2018 ◽  
Vol 5 (1) ◽  
pp. 56 ◽  
Author(s):  
Akira Nakamura ◽  
Kazuyuki Nagata ◽  
Kensuke Harada ◽  
Natsuki Yamanobe
Keyword(s):  
Recovery Process ◽  
Error Recovery ◽  
Error Classification

scholarly journals Estimation and Categorization of Errors in Error Recovery Using Task Stratification and Error Classification

2017 ◽  
Vol 4 (2) ◽  
pp. 163
Author(s):  
Akira Nakamura ◽  
Kazuyuki Nagata ◽  
Kensuke Harada ◽  
Natsuki Yamanobe
Keyword(s):  
Error Recovery ◽  
Error Classification

Error Recovery System Encoder/Decoder Method and VHDL Design for Saving Memory of Embedded System

2011 ◽  
Vol 110-116 ◽  
pp. 4985-4991
Author(s):  
Byung Joon Kim ◽  
Rae Cho Sung ◽  
Sung Ho Jin
Keyword(s):  
Embedded System ◽  
Error Correction ◽  
Recovery Process ◽  
Error Recovery ◽  
Correction Method ◽  
Memory Space ◽  
Rs Code ◽  
Error Correction Method ◽  
Recovery System ◽  
System Errors

Unexpected errors may occur in any embedded systems. An error correction circuitry is used to prevent system errors. Parity bits generated from an encoder are needed to perform an error recovery process. Therefore, to be stored in the memory space should be added. In this paper, Parity bits to be stored without a memory space that can be used to error correction circuitry are proposed. The proposed method was designed in VHDL. The proposed design used the Reed-Solomon (RS) code of an error correction method. Then, 8 bits of information symbols and a symbol error correcting RS code were designed based on the design.

scholarly journals Estimation and Categorization of Errors in Error Recovery Using Task Stratification and Error Classification

2017 ◽  
Vol 22 ◽  
pp. 217-220
Author(s):  
Akira Nakamura ◽  
Kazuyuki Nagata ◽  
Kensuke Harada ◽  
Natsuki Yamanobe
Keyword(s):  
Error Recovery ◽  
Error Classification

scholarly journals Using Various Evaluation Standards to Determine an Error Recovery Process in an Automation Plant

2021 ◽  
Vol 26 ◽  
pp. 321-327
Author(s):  
Akira Nakamura ◽  
Natsuki Yamanobe ◽  
Ixchel Ramirez Alpizar ◽  
Kensuke Harada ◽  
Yukiyasu Domae
Keyword(s):  
Recovery Process ◽  
Error Recovery ◽  
Evaluation Standards

scholarly journals The Suitable Timing of Visual Sensing in Error Recovery Using Task Stratification and Error Classification

2017 ◽  
Vol 4 (2) ◽  
pp. 134
Author(s):  
Akira Nakamura ◽  
Kazuyuki Nagata ◽  
Kensuke Harada ◽  
Natsuki Yamanobe
Keyword(s):  
Error Recovery ◽  
Visual Sensing ◽  
Error Classification

scholarly journals Keeping Patients Safe: The Critical Role of Medical Error Recovery

2020 ◽  
Author(s):  
Theresa A. Gaffney
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Medical Errors ◽  
Health Care Professionals ◽  
Critical Role ◽  
Recovery Process ◽  
Error Recovery ◽  
Institute Of Medicine ◽  
Care Providers

Two decades after the Institute of Medicine Report, To Err is Human: Building a Safer Health System illuminated the high number of preventable deaths and adverse events associated with health care, medical errors remain a top global concern. To date, resources have been focused on preventing medical errors; however, the importance of error recovery must not be overlooked. Medical errors cannot be fully eliminated from our health care system, yet many errors can be recovered thus preventing patient harm. This chapter will (1) define and describe the error recovery process, (2) discuss the role of health care providers in error recovery, (3) explore strategies that enhance and prohibit error recovery, and (4) analyze characteristics that influence error recovery. Given the importance of patient safety within the health care industry, health care professionals and organizations must focus on both error prevention and error recovery as a key strategy in keeping patients safe.

Designing a Human Factors Investigation Tool to Improve the Quality of Safety Reporting

2001 ◽  
Vol 45 (20) ◽  
pp. 1519-1523 ◽  
Author(s):  
Rachael Gordon ◽  
Rhona Flin ◽  
Kathryn Mearns
Keyword(s):  
Human Factors ◽  
Health And Safety ◽  
Recovery Process ◽  
Error Recovery ◽  
Oil Companies ◽  
Safety Reporting ◽  
Offshore Oil Industry ◽  
The Uk ◽  
Organisational Factors ◽  
Offshore Oil

Engineers in the UK offshore oil industry endeavour to analyse the causes of accidents with regard to the human and organisational factors. However, their expertise tends to lie in the analysis of the technical failures. In an attempt to improve the investigation of the human factors causes of accidents, a human factors investigation system was developed for the UK Health and Safety Executive and five oil companies. The development and evaluation of two previous reporting systems provides the background to this current study, where both systems were found to increase the quantity of human factors information collected. The Human Factors Investigation Tool (HFIT) improves on these two systems, where it collects four types of human factors information including (i) the observable errors occurring immediately prior to the incident, (ii) the error recovery process, (iii) the information processing stage at which the error occurred and (iv) the underlying causes.

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