• Knowledge Management Research
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• v.14 no.2
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• pp.117-135
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• 2013

In a contemporary organization, the role of social capital has been increasingly important in sharpening knowledge management practices. The primary objective of this paper is to propose a research model to measure the effects of social capital on individual performance. The model also investigates the mediating mechanism of knowledge acquisition and knowledge transformation, both of which are critical in fostering an enterprise's absorptive capacity. The field data was collected from a knowledge-centric organization. The analysis result reveals that shared goal is crucial in enabling knowledge processes. Furthermore, it is found that knowledge transformation rather than knowledge acquisition is more likely to lead to individual task performance.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.06a
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• pp.163-165
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• 2019

The task of image denoising is gaining popularity in the computer vision research field. Its main objective of restoring the sharp image from given noisy input is demanded in all image processing procedure. In this work, we treat the process of residual hair removal on faces images similar to the task of image denoising. In particular, our method removes the residual hair that presents on the frontal or profile face images and in-paints it with the relevant skin color. To achieve this objective, we employ a deep neural network that able to perform both tasks in one time. Furthermore, simple technic of residual hair color augmentation is introduced to increase the number of training data. This approach is beneficial for improving the robustness of the network. Finally, we show that the experimental results demonstrate the superiority of our network in both quantitative and qualitative performances.

• ETRI Journal
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• v.45 no.3
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• pp.479-491
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• 2023

The automation of agricultural machines is an irreversible trend considering the demand for improved productivity and lack of labor in handling agricultural tasks. Unstructured working environments and weather often inhibit a seemingly simple task from being fully autonomously performed. In this context, we propose a remote driving system (RDS) to aid agricultural machines designed to operate autonomously. Particularly, we modify a commercial speed sprayer for orchard environments into a robotic speed sprayer to evaluate the proposed RDS's usability and test three sensor configurations in terms of human performance. Furthermore, we propose a confidence error ellipsebased task performance measure to evaluate human performance. In addition, we present field experimental results describing how the sensor configurations affect human performance. We find that a combination of a semiautonomous line tracking device and a wide-angle camera is the most effective for spraying. Finally, we discuss how to improve the proposed RDS in terms of usability and obtain a more accurate measure of human performance.

• Annual Conference of KIPS
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• 2024.10a
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• pp.545-548
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• 2024

Empathetic response generation is a challenging concern in the field of natural language processing. Recent studies are trying to generate empathic responses to humans in dialogues. The published EmpatheticDialogues dataset is a solid foundation for the task of generating empathic responses. Many researchers have experimented with the EmpatheticDialogues dataset, which has many potential variations of transformer architectures. In this paper, we survey several previous approaches to the task of generating empathic responses with the aim of indicating the potential of future deep-learning models.

• Journal of The Korean Association For Science Education
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• v.22 no.1
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• pp.132-140
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• 2002

The purpose of this study was to find the influence of students' cognitive styles and cognitive levels on chemistry problem solving. 322 11th grade students were administered Group Embedded Figures Test(GEFT), Group Assesment of Logical Thinking(GALT), and chemistry problem solving task about mole and stoichiometry. Chemistry task was made of ten items, 5 items of them include misleading factor(irrelevant information). The students who are field-independent and in formal operational stage got higher scores than those who are field-dependent and in transitional stage. In 5 items which have no misleading factor GALT had significantly contributed to the regression equation, while in 5 items which have misleading factor GEFT was significant contribution to the regression equation. In two items of misleading items, students who used the irrelevant information were significantly more field dependent than those who did not use this information.

• Journal of the Ergonomics Society of Korea
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• v.30 no.1
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• pp.75-86
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• 2011

This paper describes several current research activities and the field techniques for the prevention of human errors during the operation of nuclear power plants(NPPs). The human aspects such as 'fitness for the duties', 'job competence and suitability', 'types of communication', 'behaviors of field workers', 'teamwork of main control room crews', 'task procedures', etc. have been investigated for improving the performance of operating personnel in NPPs. We decide to develop a set of the complementary techniques for the reduction of human errors. The set of techniques developed includes teamwork criteria, jobs fitness analysis, procedure enhancement guide, 3-way communication, campaign posters, a behavior based safety program, a procedure guideline, and a task hazard identification method for the field practitioners in NPPs. These can offer a set of significant human error countermeasures to be considered for analyzing and reducing human error in NPPs as well as other fields of industry.

• Journal of Radiation Industry
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• v.8 no.3
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• pp.161-168
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• 2014

Increasing utilization of radiation and RI (Radioisotope) in nuclear industry including non-power area has achieved sustainable development of radiation industry. Industries are no longer confined by a single technology or abilities but expanded for application gradually. RI-Biomics fields are one of the convergence technology that is recognized on a high-tech industry. Unlike the conventional industry, RI-Biomics field needs to various specialists to perform related task. There is no domestic training program to educate the whole process. This study aims to suggest the plan for improvement of practical skills for specialists in RI-Biomics through development of our training program. For this purpose, we have first investigated the opinion about classification scheme from experts and then analyzed the results in order to reflecting our training program. Based on analyzed results, conformity assessment was executed to organize curriculum through status of constructed device and instructor in domestic. Our training program was performed jointly with KAERI (Korea Atomic Energy Research Institute). RI-Biomics center is prepared with facilities of overall experiment to improve quality of education. Due to the fact that specialists have routine task, we organized a five-day short course to reflect temporal difficulties. We performed a trial operation to 6 participants in RI-Biomics field. Through the survey for the specialists who participated in the program, we evaluated the efficiency of our training program. The results showed that participants were satisfied with the organized curriculum and educational materials. Therefore, our program is expected to be utilized as basic research data to develop feasible program for policy development and to improve practical skills in RI-Biomics.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.31 no.3
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• pp.266-273
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• 2021

Objective: The objective of this study was to suggest improvement methods for investigations and systems through a review of musculoskeletal risk factor investigation reports conducted in the workplace. Methods: A total of 34 reports on musculoskeletal risk factor investigations were reviewed. To confirm the appropriateness of the evaluation, reevaluation was conducted through a field investigation using other evaluation tools. In order to understand the effectiveness of the improvement plan, a survey was conducted with those in charge of tasks with ergonomic burdens. Results: As a result of performing a field survey using the work sampling method recommended by the KOSHA (Korea Occupational Safety and Health Agency) for ten tasks, eight tasks were determined to pose an ergonomic burden. When 30 tasks were evaluated with RULA (rapid entire body assessment), 90% of them were evaluated at a higher level than the results of the workplace survey. Among the improvement measures, only 36% of the field workers affirmed them, and in only 19% of the workplaces were actual improvements made. Conclusions: In order to improve the ergonomic investigation system for risk factors in the ergonomic burden task, it is necessary to secure the objectivity of the evaluation performed by the institution and enable the active participation of workers in improvement activities.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.24 no.10
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• pp.163-173
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• 2010

In multi-mobile robot environment, path planning and collision avoidance are important issue to perform a given task collaboratively and cooperatively. The proposed approach is based on a potential field method and fuzzy logic system. For a global path planner, potential field method is employed to select proper path of a corresponding robot and fuzzy logic system is utilized to avoid collisions with static or dynamic obstacles around the robot. This process is continued until the corresponding target of each robot is reached. To test this method, several simulation-based experimental results are given. The results show that the path planning and collision avoidance strategies are effective and useful for multi-mobile robot systems.

• Proceedings of the KIEE Conference
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• summer
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• pp.1409-1411
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• 2004

[$80\;\sim\;90\%$ of Information that human masters from outside are image information which depend on sight. So, in case machine takes the place of human's function, role of image processing is very important. However, because human's sight function is formed through evolution and studying for a long time, substituting it for computer attend with unexpected difficulty. In railroad, there are many field which the application of automation system is expected by using computer instead of safety watch that depend on usual human sight, macrography. But, there are many research field and conditions in the railroad when various outside conditions are considered, comparing with another field. This study analyses the recent image processing technology and reviews the task of image processing technology and its direction.]