• The Journal of Korea Robotics Society
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• v.5 no.3
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• pp.224-230
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• 2010

As robots are no longer just working labors in the industrial fields, but stepping into the human's daily lives, interaction and communication between human and robot is becoming essential. For this social interaction with humans, emotion generation of a robot has become necessary, which is a result of very complicated process. Concept of mood has been considered in psychology society as a factor that effects on emotion generation, which is similar to emotion but not the same. In this paper, mood factors for robot considering not only the conditions of the robot itself but also the circumstances of the robot are listed, chosen and finally considered as elements defining a 2-dimensional mood space. Moreover, architecture that combines the proposed mood model and a emotion generation module is given at the end.

• Journal of the Korea Convergence Society
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• v.10 no.9
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• pp.23-29
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• 2019

In this paper, the mood of images was classified into eight categories through a deep convolutional neural network and video was automatically generated using proper background music. Based on the collected image data, the classification model is learned using a multilayer perceptron (MLP). Using the MLP, a video is generated by using multi-class classification to predict image mood to be used for video generation, and by matching pre-classified music. As a result of 10-fold cross-validation and result of experiments on actual images, each 72.4% of accuracy and 64% of confusion matrix accuracy was achieved. In the case of misclassification, by classifying video into a similar mood, it was confirmed that the music from the video had no great mismatch with images.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.12
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• pp.3182-3196
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• 2012

In this paper, we present a new LED (Light Emitting Diode) mood lighting system interacting with smartphones based on the generation of different light sequences. In the proposed system, one light sequence is considered to be one unit of the service contents, which is then transmitted through a network and played in an LED lighting system. To this end, we propose a novel generation scheme using a smartphone, and a decoding/playing mechanism in an LED lighting system. The lighting sequences have a fixed period divided into predefined time units. Two modes - basic and interpolation - are supported in each time unit when playing a color sequence. In the basic mode, the color is maintained for the entire time unit, whereas in the interpolation mode the color is interpolated. The sequence is decoded and played in the lighting circuit by changing the duty cycle of a PWM (Pulse Width Modulation) signal. A demonstration system of the overall proposed method was using smartphones, a server and an LED lighting system. The results from this experiment show the validity and applicability of the proposed scheme.

• Journal of the Korean Home Economics Association
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• v.35 no.3
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• pp.63-75
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• 1997

The purposes of this study was to identify the differences between fashion opinion leaders and followers in the characteristics oriented New Young Generation and the types of fashion advertising involvement. The data were collected via a questionnaire from 431 college students(female=218 male=213) living in Seoul, Korea and analyzed by factor analysis and t-test. The results of this study were as follows: First, eight factors of the characteristics oriented New Young Generation were identified: Fashion, individuality, preference of caffe with affective mood, expression of emotion, indivisualism, preference of tastes oriented Western Europe, activity of pan club and chatting by personal computer. The significant differences between fashion opinion leaders and followers in fashion, individuality, preferences of the caffe with affetive mood, and expression of emotion were found in the data collected from female. There were significant differences between fashion opinion leaders and followers in fashion, individuality in the data collected from male. Second, three factors of fashion involvement advertising were identified: The hedonic involvement, social involvement, utilitarian involvement. The significant differences between fashion opinion leaders and followers in the hedonic involvement, social involvement, utilitarian involvement and the levels of involvement were found in the case of female's data. There were significant differences between fashion opinion leaders and followers in the hedonic involvement, social involvement and levels of involvement except for utilitarian involvement in the case of male's data.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.10 no.1
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• pp.19-24
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• 2010

The rise of music resources has led to a parallel rise in the need to manage thousands of songs on user devices. So users have a tendency to build playlist for manage songs. However the manual selection of songs for creating playlist is a troublesome work. This paper proposes an auto playlist generation system considering user context of use and preferences. This system has two separated systems; 1) the mood and emotion classification system and 2) the music recommendation system. Firstly, users need to choose just one seed song for reflecting their context of use. Then system recommends candidate song list before the current song ends in order to fill up user playlist. User also can remove unsatisfied songs from the recommended song list to adapt the user preference model on the system for the next song list. The generated playlists show well defined mood and emotion of music and provide songs that the preference of the current user is reflected.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.3
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• pp.337-342
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• 2010

The rise of music resources has led to a parallel rise in the need to manage thousands of songs on user devices. So users are tend to build play-list for manage songs. However the manual selection of songs for creating play-list is bothersome task. This paper proposes an auto play-list recommendation system considering user's context of use and preference. This system has two separate systems: mood and emotion classification system and music recommendation system. Users need to choose just one seed song for reflection their context of use and preference. The system recommends songs before the current song ends in order to fill up user play-list. User also can remove unsatisfied songs from recommended song list to adapt user preferences of the system for the next recommendation precess. The generated play-lists show well defined mood and emotion of music and provide songs that user preferences are reflected.

• The Journal of the Korea Contents Association
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• v.3 no.1
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• pp.31-38
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• 2003

In this paper, We propose detection mood generation system using learning to generate automatically detection model. It is improved manpower, efficiency in time. Proposed detection model generator system is consisted of agent system and manager system. Model generation can do existing standardization by genetic algorithm because do model generation and apply by new detection model. according to experiment results, detection model generation using learning proposed sees more efficiently than existing intrusion detection system. When intrusion of new type occur by implemented system and decrease of the False-Positive rate, improve performance of existing intrusion detection system.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.9 no.5
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• pp.80-86
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• 2010

This paper presents automated music story video generation technique as one of entertainment features that is equipped in multimedia system of the vehicle. The automated music story video generation is a system that automatically creates stories to accompany musics with photos stored in user's mobile phone by connecting user's mobile phone with multimedia systems in vehicles. Users watch the generated music story video at the same time. while they hear the music according to mood. The performance of the automated music story video generation is measured by accuracies of music classification, photo classification, and text-keyword extraction, and results of user's MOS-test.

• Culinary science and hospitality research
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• v.4
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• pp.369-387
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• 1998

The atmosphere of foodservice facility is considered to be the total environment to which customers are exposed. Atmosphere is sometimes described as everything that makes an impression on people. On the other hand, mood is best described as the response of an individual to the various components that make up the atmosphere. Most people experience some type of reaction to the atmosphere that may be desirable or undesirable. If the individual response to the foofservice facility is favorable, the atmosphere has served to put that person into a good mood. In the highly competitive commercial restaurant field, the planning of the atmosphere for new facilities is going to be more important. The coming generation of potential customers is growing up in an environment that associates dining out with more than just good food. This study is characterized by the right atmosphere offerings. Thus, this study discusses the physical components affecting perception of atmosphere. Many of these components will be discussed in detail to show their relationship to the design of dining areas. This study identified the many physical components of atmosphere that can be manipulated and arrive at a combination that will give the desired sensations. With these backgrounds as a guide, this study presented alternatives which should not only provide atmosphere but should reach a satisfactory level of creating atmosphere from a practical standpoint. these is to maximise the perceptual effect, train the employees, and be reflected and be reflected the advertising and public relations.

• Journal of Fashion Business
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• v.27 no.4
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• pp.1-20
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• 2023

This study proposes the practical design elements of sustainable fashion by understanding the values of the MZ generation and analyzing the design characteristics that can extend the life of clothing. The theoretical concept of sustainable fashion through previous studies was reviewed and in-depth interviews were conducted with the MZ generation on "design characteristics of clothes that they have actually used for a long time." The result was drawn by approaching the constant comparison method through the qualitative methodology. As a result of the study, the design characteristics of clothes that can be worn for a long time are as follows. First, simple design pursues simplicity that is not excessive to the essential characteristics of clothes. Second, sturdy material is durable and not easily damaged. The clothing storage method and laundry method were also factors that could extend the life of the garment. Third, emotional design is a design that fits well with your mood and body type and gives a special meaning to your emotions. This study is meaningful in suggesting elements necessary for extending the life cycle of clothing and providing basic data that can be applied to the practical design steps of the fashion industry.