• Journal of the Korean Society for Aviation and Aeronautics
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• v.22 no.3
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• pp.50-59
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• 2014

It has been focused on that the major reasons of aircraft accidents resulted not from human error but from the failure of teamwork or communication in 1980's. Such opinions were suggested in the workshop, so called, "Resource Management on the Flight Deck" by NASA in 1979. The researchers agreed the fact the source of human error was originated from the failure in teamwork, communication or even in leadership of captain. Due to the rapid development of aircraft technologies, the reasons for aircraft accident could be easily found out. According to the analysis results of the technology, most of reasons for the accident might directly be connected not to human error or stick-Rudder skill but to situational awareness, communication, leadership or decision making in the aircraft. This paper has tried to research empirically the satisfaction of flight crews who have gone thorugh CRM training in the commercial airline. Based on the quantitative scale by J. Ford et al. (2014), this paper has proved which characteristics of CRM training has a positive impact on the overall satisfaction of CRM training. It was proven that the teamwork and decision making programs among CRM training have a major effect to the satisfaction level of flight crews.

• Journal of Korean Academy of Nursing
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• v.36 no.5
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• pp.681-690
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• 2006

Purpose: The purpose of this study was to investigate the effects of assertiveness training on nurses' assertive behaviors, interpersonal relations, communication conflicts, conflict management style and personnel turnover rate. Method: A non-equivalent control group pretest-posttest design was used in this study, Nurses were assigned into the experimental or control groups, each consisting of 39 nurses. Data was collected between January to March 2004. An 'Assertiveness Training Program' for Nurses developed by Park was used for the study. To emphasize assertiveness practice, 5 practice sessions utilizing ABCDE principles were added to Park's program. To examine the effects of the program, differences between the two groups in assertive behaviors, interpersonal relations, communication conflicts, conflict management style and personnel turnover rate were analyzed using ANCOVA. Results: The assertiveness training was effective in improving the nurses' assertiveness behaviors, but was not effective in improving interpersonal relations, reducing the subjects' communication conflicts, changing the conflict management style or reducing their personnel turnover rate. Conclusion: There have been many studies about factors affecting nurses' personnel turnover rates, but few have been done about methods of intervention to reduce the personnel turnover rate. Thus, this study provides a significant contribution in attempting such an intervention from nursing management perspectives.

• Journal of Korean Clinical Nursing Research
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• v.19 no.2
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• pp.255-264
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• 2013

Purpose: This study was done to examine the effects of assertiveness training on Intensive Care Unit (ICU) nurses' assertive behavior, job stress, communication conflict, and self-esteem toward improving their communication skills and coping. Methods: The assertiveness training program was developed to a 10-hour program consisting of 3 sessions. The goals were to understand assertive behavior and learn how to practice assertive communication in general conflict situations and/or a difficult conflict situation in the ICU. Participants were 65 nurses recruited from a tertiary teaching hospital and of these, 27 nurses completed the program. Data were collected from Jan. 30th to Mar. 28th, 2009 using a questionnaire which included demographic characteristics, assertive behaviour scale, job stress scale, communication conflict inventory-specific, and self-esteem scale. Data were analyzed using SPSS v. 14.0 for $x^2$ test and t-test. Results: ICU nurses in the experimental group had a significant increase in aspects of assertive behavior and a decrease in job stress. Conclusion: The results of the study indicate that assertiveness training is effective in increasing ICU nurses' assertive behavior and decreasing job stress through reinforcement of assertiveness behavior.

• Journal of East-West Nursing Research
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• v.23 no.2
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• pp.115-123
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• 2017

Purpose: The purpose of this study was to determine the effects of teaching communication training using $Gagn{\acute{e}}^{\prime}s$ 9 events of instruction and video clip on communication competency and interpersonal relations of nursing students. Methods: The participants were 79 nursing students (41 in the intervention group, 38 in the control group). A nonequivalent control group design was used. The research was carried out from September 7 to November 20, 2015. Teaching communication skills using $Gagn{\acute{e}}^{\prime}s$ 9 events of instruction and video clip were provided to the intervention group 180 minutes/session once a week for 9 weeks. Data were analyzed using chi-square test, independent t-test and ANCOVA with SPSS/PC version 21.0. Results: The intervention group reported significantly higher scores of communication competency(F=8.41, p=.005) and interpersonal relations(F=8.97 p=.004) compared to those of the control group at the completion of the intervention. Conclusion: The findings of this study show that $Gagn{\acute{e}}^{\prime}s$ 9 events of instruction and video clip is an effective communication training for improving communication competency and interpersonal relations in nursing students. A randomized clinical trial is needed to confirm the value of communication training using $Gagn{\acute{e}}^{\prime}s$ 9 events of instruction and video clip for nursing students.

• The Journal of Korea Robotics Society
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• v.16 no.3
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• pp.276-282
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• 2021

The system for recognizing text in natural scenes has been applied in various industries. However, due to the change in brightness that occurs in nature such as light reflection and shadow, the text recognition performance significantly decreases. To solve this problem, we propose an adversarial shadow generation and training algorithm that is robust to shadow changes. The adversarial shadow generation and training algorithm divides the entire image into a total of 9 grids, and adjusts the brightness with 4 trainable parameters for each grid. Finally, training is conducted in a adversarial relationship between the text recognition model and the shaded image generator. As the training progresses, more and more difficult shaded grid combinations occur. When training with this curriculum-learning attitude, we not only showed a performance improvement of more than 3% in the ICDAR2015 public benchmark dataset, but also confirmed that the performance improved when applied to our's android application text recognition dataset.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.161-168
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• 2024

As the size of big data models grows, distributed training is emerging as an essential element for large-scale machine learning tasks. In this paper, we propose ParamHub for distributed data training. During the training process, this agent utilizes the provided data to adjust various conditions of the model's parameters, such as the model structure, learning algorithm, hyperparameters, and bias, aiming to minimize the error between the model's predictions and the actual values. Furthermore, it operates autonomously, collecting and updating data in a distributed environment, thereby reducing the burden of load balancing that occurs in a centralized system. And Through communication between agents, resource management and learning processes can be coordinated, enabling efficient management of distributed data and resources. This approach enhances the scalability and stability of distributed machine learning systems while providing flexibility to be applied in various learning environments.

• Journal of Practical Engineering Education
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• v.6 no.1
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• pp.37-42
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• 2014

The automated visual inspection system (machine vision system) for quality assurance is important factory automation equipment in the manufacturing industries, such as display, semiconductor, etc. There is a lot of demand for the machine vision engineers. However, there are no technical training courses for machine vision technologies in vocational schools, colleges and universities. In this paper, we present the implementation of line scan camera based equipment for technical training of the automated visual inspection system. The training system consists of the X-Y stage which is widely used in machine vision industries and its variable image resolution are set to $10-30{\mu}m$. Additionally, this training system can attach the industrial illumination, either the direct illuminator or coaxial illuminator, for verifying the effect of illuminations. This means that the trainee can have a practical training in various equipment conditions and the training system is similar to the automated visual inspection system in industries.

• International Journal of Internet, Broadcasting and Communication
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• v.7 no.2
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• pp.113-116
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• 2015

Generally, in the railway vehicle the driving force of gravity happens by the high-speed running and the repetitive impulse cause the degradation and the malfunction phenomenon shows differently because the durability of each component changes according to the internal and external causes. The maintenance of propulsion control device which is played the very important role as to the stable service of the railway vehicle is greatly important among them. Therefore maintenance training propulsion control device simulator is needed to maximize learning through repetition and improve the maintenance practical skills training. This paper designed the railway vehicle running device with a miniature for the railway vehicle maintenance training and developed a propulsion control device simulator equipped the imitation steering wheel.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.45-50
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• 2020

A Language model with neural networks commonly trained with likelihood loss. Such that the model can learn the sequence of human text. State-of-the-art results achieved in various language generation tasks, e.g., text summarization, dialogue response generation, and text generation, by utilizing the language model's next token output probabilities. Monotonous and boring outputs are a well-known problem of this model, yet only a few solutions proposed to address this problem. Several decoding techniques proposed to suppress repetitive tokens. Unlikelihood training approached this problem by penalizing candidate tokens probabilities if the tokens already seen in previous steps. While the method successfully showed a less repetitive generated token, the method has a large memory consumption because of the training need a big vocabulary size. We effectively reduced memory footprint by encoding words as sequences of subword units. Finally, we report competitive results with token level unlikelihood training in several automatic evaluations compared to the previous work.

• Proceedings of the IEEK Conference
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• 2003.07b
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• pp.907-910
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• 2003

We have developed Logic Design Training Kit for studying, actual training, designing of FPGA(Xillinx) or CPLD(ALTERA CPLD), the Digital Logic Device. This training kit has 12 matrix keys, RS232 port for serial communication and uses LED array. six FND(Dynamic), LCD as display part. That is standard specification for digital logic training kit. Special point of this kit is that we make two logic device trainig kit. This two logic device kit have more smaller and simple architecture because only uses one chip. That chip already includes a lot of functions that need for training kit, such as : complex logic circuit needed the two kind of logic devices, 16 way of system clock deviding function, serial communication interrupt....etc. We called that one chip is Center Bridge Chipset ; Xillinx FPGA Spartan2. User can select between using one device of FPGA or CPLD, or uses both them. Because of, Center Bridge Chipset has profitable architecture. it can work as Logic Device's networking with Master-Slave connection When using both logic devices.