• Journal of the Korea Safety Management & Science
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• v.16 no.2
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• pp.1-9
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• 2014

This study tried to propose plan to prevent human error of railroad driver among human error of railroad worker which takes great share in railroad accident. For this, in order to maintain correlation between the accident actually occurred after the opening of high-speed railroad and experience of accident that did not happened, survey on respondent was analyzed by conducting survey on KTX captain who is working in driving work of high-speed railroad, and instruction management team manager who manages KTX captain and captain. This thesis classified the factors by human factor, job factor, environment factor, organization factor, and established human error management model by comparing and analyzing how each factors have spatial interrelations with a railroad accident. The purpose of this study is to contribute to make safe railroad, and reliable railroad by preventing human error accident by minimizing human error of high-speed railroad drivers, and improving driving workers to cope accurately and fast with irregularities through various institutional improvement, improvement of driving facilities, improvement of operating room environment, and improvement of education system.

• The Korean Journal of Emergency Medical Services
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• v.22 no.1
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• pp.35-47
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• 2018

Purpose: The purpose of this study was to investigate both the occurrence status of emergency vehicles traffic accidents and contents of the experiences of emergency medical technicians (EMTs) in fire station. Methods: A self-reported questionnaire was completed by 451 EMTs in fire stations in 6 cities provinces from February 9, 2017 to February 27, 2017. Results: Of 451 EMTs, 207 (45.9%) had traffic accidents experience. Regarding environment-related features, results indicated hour (12~18 hours), place (national highway), traffic flow (smooth), weather (clear), season (winter), and day (Friday). Regarding correlation analysis of differences in the number of ambulance traffic accidents pursuant to general features of accident-experienced drivers as a human factor, there were no significant differences in recruitment, driving careers of regular cars, driving careers of fire engines, and class but there were significant differences in fire-fighting careers. Accident experience in the group with careers over 6 years and less than 10 years higher than in the other groups. Conclusion: Efforts to expand fire engine driving education programs for the prevention of traffic accidents involving 119 emergency vehicles are required.

• Journal of Wellbeing Management and Applied Psychology
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• v.7 no.1
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• pp.27-33
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• 2024

Purpose: This study investigates human error accidents in the Korean railway sector, emphasizing the need for systematic management to prevent such incidents, which can have fatal consequences, especially in driving-related jobs. Research design, data and methodology: This paper analyzed data from the Aviation and Railway Accident Investigation Board and the Korea Transportation Safety Authority, examining 240 human error accidents that occurred over the last five years (2018-2022). The analysis focused on accidents in the driving, facility, electric, and control fields. Results: The findings indicate that the majority of human error accidents stem from negligence in confirmation checks, issues with work methods, and oversight in facility maintenance. In the driving field, errors such as signal check neglect and braking failures are prevalent, while in the facility and electric fields, the main issues are maintenance delays and neglect of safety measures. Conclusions: The paper concludes that human error accidents are complex and multifaceted, often resulting from a high workload on engineers and systemic issues within the railway system. Future research should delve into the causal relationships of these accidents and develop targeted prevention strategies through improved work processes, education, and training.

• Journal of Educational Research in Mathematics
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• v.12 no.1
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• pp.71-79
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• 2002

Visualization have strong driving force that enables us to recognize abstract mathematics by direct and specific method in school mathematics. Specially, visual thinking helps in effective problem solution via intuition in mathematics education. So, this paper examines the meaning of visualization, the role of visualization in intuitive problem solving process and the methods for enhancement of intuition using visualization in mathematics education. Visualization is an useful tool for illuminating of intuition in mathematics problem solving. It means that visualization makes us understand easily mathematical concepts, principles and rules in students' cognitive structure. And it makes us experience revelation of anticipatory intuition which finds clues and strategy in problem solving. But, we must know that visualization can have side effect in mathematics learning. So, we have to search for the methods of teaching and learning which can increase students' comprehension about mathematics through visualization and minimize side aspect through visualization.

• Korean Medical Education Review
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• v.22 no.1
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• pp.9-15
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• 2020

Currently, accreditation within medical education is a priority on the agenda for many countries worldwide. The World Federation for Medical Education's (WFME) launch of its first trilogy of standards in 2003 was a seminal event in promoting accreditation within basic medical education (BME) globally. Parallel to that, WFME also actively spearheaded a project to recognize the accrediting agencies within individual countries. The introduction of competency-based medical education (CBME) with the two key concepts of "entrusted professional activity" and milestones has enabled researchers to identify the relationship between patient outcomes and medical education. Recent data driven by CBME has been used for the continuous quality improvement of trainees and training programmes as well. The goal of accreditation has shifted from the single purpose of quality assurance to balancing quality assurance and quality improvement. Even though there are a plethora of types of postgraduate medical education (PGME), it may be possible to accredit resident programmes on a global scale by adopting the concept of CBME. In addition, the alignment of the accreditation for BME and PGME, which center on competency, will be achievable. This argument may extend the possibility of measuring the outcomes of the accreditation itself against patient outcomes as well. Therefore, evidence of the advantages of costly and labor-consuming accreditation processes will be available in the near future and quality improvement will be the driving force of the accreditation process.

• Journal of Practical Engineering Education
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• v.15 no.1
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• pp.23-29
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• 2023

For given the importance of elementary school students developing the ability to solve problems using artificial intelligence (AI), problem-solving abilities should be developed using AI along with education to develop problem-solving abilities. Such students need a form that allows them to understand the concepts and principles of AI and to be easily educated in a fun way to understand basic understanding of how AI works. To this end, this study planned an 8-hour AI convergence program and operated based on self-driving cars, demonstrating that it was effective in improving elementary school students' problem-solving abilities, creativity, and AI understanding. As a result of operating the camp, students' understanding of AI was 3.56 (standard deviation 0.85), 4.00 (standard deviation 0.71), and t-value was -5.412 (p<0.001), indicating statistically improved understanding of AI, and high satisfaction and interest of students. In the future, it will be necessary to develop an educational program that allows elementary school students to devise their own ideas and create products to which AI models can be applied.

• Journal of Sensor Science and Technology
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• v.23 no.1
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• pp.24-28
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• 2014

A lock-in amplifier was proposed for capacitive sensor applications. This amplifier was based on a general-purpose microcontroller and had only a charge amplifier as analog circuits. All the other functions of lock-in amplifier except for the charge amplifier were implemented with firmware and the internal resources of the microcontroller. A rectangular signal, generated by the microcontroller, was used in a sensor-driving signal instead of a conventional sinusoidal signal. This makes it possible that the phase comparison circuit in the lockin amplifier is made with analog-to-digital converter, a timer and an interrupt controller. Using the oversampling method and the rectangular driving signal, we can make it easy to implement the peak detection function with software and sample the peak-to-peak signal at charge amplifier output. A charge amplifier was proposed to cancel out the base capacitance existing in capacitive sensors structurally. The experimental results show that the lock-in amplifier operating in the supply voltage of 3.0 V cancels out the base capacitance and has good linearity.

• Korean Medical Education Review
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• v.22 no.1
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• pp.32-45
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• 2020

This narrative review introduces global trends in pharmacovigilance (PV) education for healthcare professionals and the status of PV education in Korea. Proactive participation of healthcare professionals, including physicians, pharmacists, and nurses in reporting suspected adverse events is the main driving force for effective operation of the spontaneous adverse event reporting system database, which in turn facilitates early safety signal detection of otherwise unknown suspected adverse events. The World Health Organization recognizes PV education curriculum as a key aspect in promoting awareness of PV and adverse event reporting among healthcare professionals, and multiple studies have demonstrated that PV educational interventions for healthcare professionals have increased overall adverse event reporting. Considering the global trends in PV education, the curriculum in Korean universities still has room for improvement in promoting PV obligation among future healthcare professionals. Further research is needed to develop PV education curriculum. We suggest a three-step project for innovating PV education in Korea to meet the global PV educational standards: a survey to gauge current PV competencies among healthcare professionals, reform of current PV academic curriculum, and evaluation and fine-tuning of the reformed curriculum.

• Journal of Engineering Education Research
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• v.24 no.3
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• pp.50-57
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• 2021

Although the mathematics education process in AI education is a very important issue, little cases are reported in developing effective methods on AI and mathematics education at the university level. The universities cover all fields of mathematics in their curriculums, but they lack in connecting and applying the math knowledge to AI in an efficient manner. Students are hardly interested in taking many math courses and it gets worse for the students in humanities, social sciences and arts. But university education is very slow in adapting to rapidly changing new technologies in the real world. AI is a technology that is changing the paradigm of the century, so every one should be familiar with this technology but it requires fundamental math knowledge. It is not fair for the students to study all math subjects and ride on the AI train. We recognize that three key elements, SW knowledge, mathematical knowledge, and domain knowledge, are required in applying AI technology to the real world problems. This study proposes a modular approach of studying mathematics knowledge while connecting the math to different domain problems using AI techniques. We also show a modular curriculum that is developed for using math for AI-driven autonomous driving.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.48 no.1
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• pp.18-23
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• 2011

We have investigated the Intelligent Shift-map Module(ISM) to improve some problems in the conventional Automatic Transmission(AT) for automobiles. The typical AT lacks flexibility regarding the shift point because it does not consider the driver's habits and inclinations. Also it often is occurred phenomenon like kick-down. Therefore, we designed a decision module which considers the driving style of the individual driver. The driving style was determined by the inclination of the driver and the driving technique using actual automobile data. The Hierarchical Neural Network(HNN) was applied in generating an intelligent shift map with Multilayer Neural Network(MNN). It was found that the proposed ISM provided a suitable shift point and time because the necessary toque and velocity of the automobile was considered along with the driving style of each driver when designing the ISM.