• Journal of Distribution Science
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• v.16 no.8
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• pp.69-77
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• 2018

Purpose - With growing competition in the service distribution industry, the importance of managing customer complaints has increased. If firms handle customer complaints effectively, they can strengthen customer loyalty and repurchase intention. Many studies have focused on customers expressing complaints, yet research on silent customers is scant. This study focuses on two types of complainers and non-complainers. In other words, this study is to examine the value of voice complaint intention and no-action intention. This study also investigates how perceptual and relational factors affect complaint intention. Research design, data, and methodology - This study was carried out using the survey with undergraduate students who have faced a service failure in a retail store(fast foods, electronics, apparel). And if such complaint were to occur again, respondents were asked about any possible action they would take. 300 questionnaires were distributed and a total of 279 respondents provided complete and usable data. The sample consisted of 158 males(56.6%) and 121 females(43.4%). The structural equation modeling analysis was used for the hypothesis test. Results - The results are as follows. First, attitude toward complaining, likelihood of successful complaint, and ease of complaint were positively related to voice complaint intention. Second, attitude toward complaining, likelihood of successful complaint, and ease of complaint were negatively related to no-action intention. Third, commitment was positively related to voice complaint intention but didn't have a significant negative impact on no action. Forth, voice complaint behavior reduced switching intention and no-action intention enhanced switching intention. Conclusions - The findings of this study confirm the value of complaint behavior and show voice complaint intention and no-action intention should be managed differently. Voice complaint intention is evaluated positively because it reflects customers' concerns about the company, while no-action intention is evaluated negatively. Attitude toward complaing is the most effective in increasing voice complaint intention and likelihood of successful complaint is a major factor in reducing no-action intention. Also, in explaining switching intention, voice complaint intention plays a more important role than no-action intention.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.6
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• pp.163-172
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• 2021

To specify a formal semantics for a programming language is to do a significant part for design, standardization and translation of it. The Python is popular and powerful, it is necessary to do research for a formal semantics to specify a static and dynamic semantics for Python clearly in order to design a similar language and do an efficient translation. This paper presents the Action Equation 2.0 that specifies a formal semantics for Python to change and update Action Equation. To measure the execution time for Python programs, we implemented the semantic structure specified in Action Equation 2.0 in Java, and prove through simulation that Action Equation 2.0 is a real semantic structure that can be implemented. The specified Action Equation 2.0 is compared to other descriptions, in terms of readability, modularity, extensibility, and flexibility and then we verified that Action Equation 2.0 is superior to other formal semantics.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.10
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• pp.3668-3684
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• 2021

Video action recognition is widely used in video surveillance, behavior detection, human-computer interaction, medically assisted diagnosis and motion analysis. However, video action recognition can be disturbed by many factors, such as background, illumination and so on. Two-stream convolutional neural network uses the video spatial and temporal models to train separately, and performs fusion at the output end. The multi segment Two-Stream convolutional neural network model trains temporal and spatial information from the video to extract their feature and fuse them, then determine the category of video action. Google Xception model and the transfer learning is adopted in this paper, and the Xception model which trained on ImageNet is used as the initial weight. It greatly overcomes the problem of model underfitting caused by insufficient video behavior dataset, and it can effectively reduce the influence of various factors in the video. This way also greatly improves the accuracy and reduces the training time. What's more, to make up for the shortage of dataset, the kinetics400 dataset was used for pre-training, which greatly improved the accuracy of the model. In this applied research, through continuous efforts, the expected goal is basically achieved, and according to the study and research, the design of the original dual-flow model is improved.

• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.434-443
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• 2016

Users can set manually Android phone to do particular tasks on some situations. This type of setting is inconvenient, and also provide with unnecessary services, which don't consider users' situation. In this research, we design and implement a context-aware automatic task setting application. Users can get context-aware service by setting desired tasks based on contexts using this system. We design a language for describing context-action rules, and statically check validity of context-action rules by performing syntax and semantic check.

• Fashion & Textile Research Journal
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• v.24 no.6
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• pp.686-693
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• 2022

The rapid development of the fashion industry in contemporary society has also caused various problems such as environmental pollution, material excess, and spiritual poverty. Accordingly, traditional Chinese Taoist aesthetics can solve the spiritual poverty that people are facing today, and the spiritual pursuit of returning to innocence. This study focuses on the works of first generation Chinese designer Ma Ke as an example to discuss the embodiment and application of Taoist aesthetics. The results are as follows: First, Ma Ke's works emphasize the value of handicraft through traditional handcrafting and natural fibers, which reflect the beauty of simplicity and the non-action of Taoist aesthetics. Second, the works acknowledge nature by using natural materials and retaining their original appearance, which embodies Taoist aesthetics of the beauty in non-action and living in harmony with nature. Third, the collections reflect a critical attitude toward the fashion industry and consumer culture by rethinking consumerism and advocating environmental protection, thus propagating the beauty in simplicity and the harmonious life with nature in Taoism aesthetics. In conclusion, Ma Ke's designs incorporating sustainability and handicraft exhibit the core features of Taoist aesthetics, including the beauty in simplicity, non-action, and living in harmony with nature while exploring the relationship between modernity and tradition, man and nature, and handicraft and fashion. This research can contribute to understanding Ma Ke's works in promoting critical thinking about the fashion industry through Taoist aesthetics.

• The KIPS Transactions:PartA
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• v.17A no.4
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• pp.173-180
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• 2010

To specify a formal semantics is to do a significant part for design, standardization and translation of programming languages. The existing studies of a formal semantics for Java have a weak point to describe a clear and practical semantics for an efficient translation. It is necessary to do research for a formal semantics to specify a static and dynamic semantics clearly in order to do an efficient translation. This paper presents the improved Action Equation that specifies a formal semantics for Java to extend the research using Action Equation. The Action Equation is a practical and accurate specification that describes object-oriented programming features and handles exceptions. The specified Action Equation is compared to other descriptions, in terms of readability, modularity, extensibility, and flexibility and then we verified that Action Equation is superior to other formal semantics.

• Journal of Korean Association for Spatial Structures
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• v.23 no.2
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• pp.29-36
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• 2023

Reinforcement learning (RL) is widely applied to various engineering fields. Especially, RL has shown successful performance for control problems, such as vehicles, robotics, and active structural control system. However, little research on application of RL to optimal structural design has conducted to date. In this study, the possibility of application of RL to structural design of reinforced concrete (RC) beam was investigated. The example of RC beam structural design problem introduced in previous study was used for comparative study. Deep q-network (DQN) is a famous RL algorithm presenting good performance in the discrete action space and thus it was used in this study. The action of DQN agent is required to represent design variables of RC beam. However, the number of design variables of RC beam is too many to represent by the action of conventional DQN. To solve this problem, multi-agent DQN was used in this study. For more effective reinforcement learning process, DDQN (Double Q-Learning) that is an advanced version of a conventional DQN was employed. The multi-agent of DDQN was trained for optimal structural design of RC beam to satisfy American Concrete Institute (318) without any hand-labeled dataset. Five agents of DDQN provides actions for beam with, beam depth, main rebar size, number of main rebar, and shear stirrup size, respectively. Five agents of DDQN were trained for 10,000 episodes and the performance of the multi-agent of DDQN was evaluated with 100 test design cases. This study shows that the multi-agent DDQN algorithm can provide successfully structural design results of RC beam.

• The Journal of Korean Academic Society of Nursing Education
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• v.12 no.2
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• pp.187-195
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• 2006

Purpose: The purpose of this study is a) to develop a self-awareness program using various action methods and b) to experiment the effects of that on self-concept, the self-perception and the self-esteem in nursing students. Method: The subjects of this study were 37 nursing students. Using one-group pretest-posttest quasi-experimental research design, we conducted the experiments of a self-awareness program during the period of six weeks from March through May of 2004. Results: The scores of the posttest on self-concept, self-perception and self-esteem in nursing students were significantly higher than those scores of the pro-test. Conclusion: The results of our experimentation showed that a self-awareness program using various action methods was very effective to enhance self-concept, self-perception and self-esteem in nursing students. In particular, different action methods of psychodrama were shown to be a useful tool in exploring the areas of blind self and unknown self.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.6
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• pp.1502-1508
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• 2013

In aspect of HCI(Human Computer Interaction) gameplay is the procedure to solve the problem that gamers encounter in order to generate or discover a new rule to achieve gamers' goal. The goal of this research is to investigate the structure and understand the gameplay in aspect of affordance from ecological psychology rather than the traditional problem solving theory. This research selects App. game based on smart phone. Expert gamers participated in this experiment. We record all gameplay using audio and video device. We conducted protocol analysis as qualitative method based on the verbal report and action protocol during game playing. As result, gameplay based on affordance includes selection and relation. We found that subjects selected one thing at once with attention. Moreover, we found that there were two behaviors : exploratory action and performatory action. We believe that exploration, action, and transformation for affordance appear. The result of this research imply to suggest design guideline for game design methodology when designers develop game.

• Wind and Structures
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• v.31 no.6
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• pp.575-591
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• 2020

Wind load is typically considered as one of the governing design loads acting on a structure. Understanding its nature is essential in evaluation of its action on the structure. Many codes and standards are founded on state of the art knowledge and include step by step procedures to calculate wind loads for various types of structures. One of the most accepted means for calculating wind load is using Gust Load Factor or base bending Moment Gust Load Factor (MGLF), where codes are adjusted based on local data available. Although local data may differ, the general procedure is the same. In this paper, ASCE 7-16 (2017), which is used as the main reference in the U.S., and Korean Building Code (KBC 2016) are compared in evaluation of wind loads. The primary purpose of this paper is to provide insight on each code from a structural engineering perspective. Herein, discussion focuses on where the two codes are compatible and differ. In evaluating the action of wind loads on a building, knowledge of the dynamic properties of the structure is critical. For this study, the design of four figurative high-rise buildings with dual systems was analyzed.