• Nuclear Engineering and Technology
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• v.49 no.2
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• pp.349-359
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• 2017

During the past 25 years, in the context of probabilistic safety assessment, efforts have been directed towards establishment of comprehensive pipe failure event databases as a foundation for exploratory research to better understand how to effectively organize a piping reliability analysis task. The focused pipe failure database development efforts have progressed well with the development of piping reliability analysis frameworks that utilize the full body of service experience data, fracture mechanics analysis insights, expert elicitation results that are rolled into an integrated and risk-informed approach to the estimation of piping reliability parameters with full recognition of the embedded uncertainties. The discussion in this paper builds on a major collection of operating experience data (more than 11,000 pipe failure records) and the associated lessons learned from data analysis and data applications spanning three decades. The piping reliability analysis lessons learned have been obtained from the derivation of pipe leak and rupture frequencies for corrosion resistant piping in a raw water environment, loss-of-coolant-accident frequencies given degradation mitigation, high-energy pipe break analysis, moderate-energy pipe break analysis, and numerous plant-specific applications of a statistical piping reliability model framework. Conclusions are presented regarding the feasibility of determining and incorporating aging effects into probabilistic safety assessment models.

• Korean Journal of Construction Engineering and Management
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• v.22 no.5
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• pp.39-47
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• 2021

As domestic construction companies, which used to be concentrated in the Middle East, have expanded their overseas orders to new markets in Asia and Latin America, they have to cope with various conditions. The EPC plant project, which undertakes construction projects such as civil engineering and construction, design, purchase, construction and commissioning, has expanded its scope. As a result, it is important to collect Lessons Learned from the previous project, systematize it, and use it to respond to changes in the environment. However, many employees do not share their skills or experiences voluntarily. To do so, it is necessary to create and systematize a culture that shares experience and technology. In order to understand and analyze the current situation, a questionnaire was conducted on the EPC project-related departments of construction companies implementing the EPC plant project. About 74% of the participants said Lessons Learned's collection and utilization helped. About 53% of the people who collected and registered actual cases and 39% of the people who had experience in preventing problems using cases were identified as employees' perception and utilization of Lessons Learned systems. Detailed analysis showed differences in workplace, duties, and rank. Through this study, the current status of Lessons Learned collection and utilization of EPC plant projects is understood, and the research on collection and utilization improvement is being carried out.

• Nuclear Engineering and Technology
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• v.52 no.8
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• pp.1697-1705
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• 2020

To enhance the credibility of human reliability analysis, various kinds of data have been recently collected and analyzed. Although it is obvious that the quality of data is critical, the practices or considerations for securing data quality have not been sufficiently discussed. In this work, based on the experience of the recent human reliability data extraction projects, which produced more than fifty thousand data-points, we derive a number of issues to be considered for generating meaningful data. As a result, thirteen considerations are presented here as pertaining to the four different data extraction activities: preparation, collection, analysis, and application. Although the lessons were acquired from a single kind of data collection framework, it is believed that these results will guide researchers to consider important issues in the process of extracting data.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.145-150
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• 2013

As a recent global trend, the majority of mega-size plant projects are delivered through EPC (Engineering, Procurement and Construction) contracts, where a single contract is awarded for engineering, procurement, and construction. Under this contracting mechanism, it is challenging for contractors to carry out the projects under traditional project management processes used in design-bid-build projects. A new EPC Plant, the POSCO Special Steel Plant in Changwon, was built successfully at the beginning of 2012 and it is currently in full-scale production. The project has encountered a number of major difficulties however, with some technical and managerial issues through its development process. As summarized in this paper, the authors (as project participants with the contractor) investigated it as a post construction analysis and recorded the Lessons-learned for future project management improvement.

• Convergence Security Journal
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• v.21 no.2
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• pp.67-79
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• 2021

Lessons Learned(LL) is a military term defined as all activities that promote future development by finding problems and need improvement in education and reality in the field of warfare development. In this paper, we focus on presenting actual examples and applying AI analysis inference techniques to solve revealed problems in promoting LL activities, such as long-term analysis, budget problems, and necessary expertise. AI legal advice services using cognitive computing-related technologies that have already been practical and in use, were judged to be the best examples to solve the problems of LL. This paper presents intelligent LL inference techniques, which utilize AI. To this end, we want to explore theoretical backgrounds such as LL analysis definitions and examples, evolution of AI into Machine Learning, cognitive computing, and apply it to new technologies in the defense sector using the newly proposed L²-OODA ensemble algorithm to contribute to implementing existing power improvement and optimization.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.10
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• pp.4401-4408
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• 2015

Background: Cancer is a primary source of concern in Thailand and other countries around the world, including the Asian-Pacific region. Evidence supports that an important contributing cause of cancer and other chronic illnesses such as stroke, diabetes, and hypertension is excessive alcohol consumption. Studies conducted in Thailand reveal a worrisome rise in the number of new and regular drinkers in communities. Therefore, actions for primary, secondary and tertiary prevention of problem drinking are necessary. In recent years nurses in North East Thailand have been developing and implementing the Khon Kaen Family Health Nursing model to embed disease prevention in communities through the actions of family health nurses and local family health leaders. Aim: The aim of this qualitative research was to better understand the experiences of the local family health leaders using this model and to synthesize lessons learned. Materials and Methods: As part of a participatory action research approach involving analysis of focus group discussions and individual interviews, the experiences of 45 family health leaders were synthesized. Results: Four main themes were identified, namely: i) Family first: role modeling beginning at the personal and family level. ii) Local leverage: using village community forums to reduce alcohol drinking. iii) Gentle growth: making the first step and treading gently; and iv) Respect, Redemption, Rehabilitation: valuing the person to re-integrate them in the village society. Conclusions: As alcohol consumption in the village declined significantly following the prevention program, these findings illuminate how low-tech integrated prevention approaches may be very useful, particularly in rural communities. The lessons learned may have relevance not only in Thailand but in other countries seeking to prevent and mitigate behavior that conduces to diseases such as cancer.

• The Mathematical Education
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• v.45 no.1 s.112
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• pp.75-96
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• 2006

The purpose of this study was to analyze how elementary pre-service teachers learned the pedagogical content knowledge of mathematics and to understand the challenges and difficulties that they experienced in the course of student teaching. A qualitative case study provided an in-depth description of the whole three weeks of student teaching process. Four pre-service teachers and two mentor teachers participated in this study. Multiple data collection techniques were used; classroom observations, in-depth interviews, document analysis, and researcher's field notes. The results of this study showed how pre-service teachers learn PCK of mathematics in designing mathematics lessons, understanding mathematics learners and delivering mathematics lessons and what are the difficulties and challenges they experienced. Finally this study discussed about some suggestions to pre-service program and future research.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.9
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• pp.249-261
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• 2022

Globally, COVID-19 has significantly impacted many different organizations and people. From the banks' perspective, this pandemic has affected banks' corporate and retail customers. Also, banks had to adjust to distributed workforce model. This paper analyses the lessons learned from the COVID-19 pandemic, which can be effectively used to rebuild banks' Operational Risk Management capabilities. The present study used the survey research methodology, which includes structured questionnaires completed by senior banking professionals to analyze the learnings from COVID-19 and understand the distributed workforce model and remote working effectiveness. Findings: The Pandemic accelerated the pace of digital transformation. The lockdown imposed due to the pandemic led to employees working remotely, which has been effective because of enhanced digital capabilities. However, enhanced monitoring is required to prevent data-related issues, and action needs to be taken to address challenges faced in having a remote distributed workforce model, like negative impact on on-the-job learning, data-related risks, and employee wellbeing. COVID-19 is an unprecedented event that could not have been predicted in any scenario analysis. This crisis has highlighted various systemic drawbacks that need to be addressed. Banks can apply the lesson learned from this Pandemic to become more robust in the future.

• Research in Mathematical Education
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• v.9 no.3 s.23
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• pp.203-231
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• 2005

Students in East Asia have consistently out-performed their counterparts in the West in recent international studies of mathematics achievement. But some studies also show that East Asian students are more rigid in thought, and lack originality and creativity. While different theories have been proposed to account for these student performances, relatively few research studies have been done on classroom practices, potentially a major variable for explaining student performances. This paper will report on the results of two classroom studies: the TIMSS 1999 Video Study and the Learners' Perspective Study (LPS). Results the quantitative analysis of the TlMSS 1999 Video Study data show that the East Asian classrooms were dominated by teacher talk, and the mathematics content learned was abstract and unrelated to the real life. On the other hand, the characteristics of the instructional practices in Hong Kong as judged by an expert panel are that student learned relatively advanced mathematics content; the components of the lessons were more coherent, and the presentation of the lessons was more fully developed. Hong Kong students seemed to be more engaged in the mathematics lessons, and the. overall quality of the lessons was judged to be high. Results of the analysis of the LPS data also show that the classrooms in the East Asian city of Seoul were in general teacher dominated, but students were usually actively engaged in the mathematics learning. Emphasis on exploration of mathematics and practicing exercises with variation was common. It is argued that the quality teaching in the East Asian classrooms laid a firm foundation in mathematics for students, and that constitutes a necessary condition for the development of students' creativity. In order to fully develop the creativity of East Asian students, they need to be given the right environment and encouragement.

• Applied Chemistry for Engineering
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• v.34 no.1
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• pp.75-79
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• 2023

The International Maritime Organization (IMO) Marine Environmental Protection Committee (MEPC) may adopt actions after completing impact assessments and reviewing results in accordance with the original strategy and impact assessment procedure (MEPC.1/Circ.885). The assessment of the impact of greenhouse gas (GHG) reduction measures is an important step in determining whether to implement GHG regulations. This study identifies and proposes improvements in the impact assessment procedure for future mid- and long-term measures. Improvements for future measures should start with a review of "the procedure for assessing impacts on states of candidate measures" and "the actual process of the comprehensive impact assessment for short-term measures in 2021." The procedural improvements were largely derived from the order and period of task performance, the clear definition of terms, and the review of task results through lessons learned, analysis, and expert workshops. The impact assessment of future mid- and long-term measures should be procedurally improved to ensure uniformity and consistency, which will provide objective results for Member States and industries to help smooth the adoption of measures.