• Human Ecology Research
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• v.56 no.6
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• pp.555-571
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• 2018

This study identified the characteristics of fashion rental service users as well as analyzed their purchase decision-making processes. A qualitative investigation was conducted through in-depth interviews with 13 women in their 20s-30s who have experienced renting fashion items due to a high interest in fashion. The results of the study are summarized as follows. The need recognition stage analyzed ventilation by mass media, SNS impact, curiosity, saving shopping time and money, awareness of situational necessity, and creation of various styles. The information search stage analyzed how users obtained information from 2 different sources of nonmarketer-dominated sources and marketer-dominated sources. The pre-purchase stage analyzed the evaluation of alternatives in which study participants used 2 evaluation criteria for fashion rental services and fashion rental items. The purchase stage analyzed how participants wait and select desired items (when receiving the notification of rentable items) or select alternative products. The consumption stage examined the usage frequency and usage method. The study divided the post-consumption evaluation stage into 2 categories for evaluation: personal feelings and service. The post-consumption behavior stage analyzed how participants displayed WOM, eWOM and purchase rental product behavior. Clothing shopping orientation of study participants is displayed in 5 dimensions of brand-seeking propensity, individuality-seeking propensity, economic efficiency-seeking propensity, rationality-seeking propensity, and pleasure-seeking propensity. This study identified three main characteristics in the study participants: interest in the fashion, favorable attitude toward used fashion items, consciousness of others.

• Journal of Convergence for Information Technology
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• v.9 no.5
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• pp.34-39
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• 2019

One of the words frequently mentioned in our society today is the smart machine. Smart machines are machines that contain smart or intelligent functions. These smart machines have recently been applied in our home environment. These are phenomena that occur as a result of smart home. In a smart home environment, smart speakers have moved away from traditional music playback functions and are now increasingly serving as interfaces to control devices, the various components of a smart home. In this study, the technology trends of domestic and foreign smart speaker market are examined, problems of current products are analyzed, and necessary core technologies are described. In the domestic smart speaker market, SKT and KT are leading the related industries, while major IT companies such as Amazon, Google and Apple are focusing on launching related products and technology development.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.1
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• pp.85-95
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• 2019

This work shows how to design a robot structure and to control to overcome obstacles while traveling through ducts of various diameters and shapes by three-legged robot. Circuits are centered in the body to connect the three wheel bodies that are driven around the center body with the 4-section slider link structure. Also, the springs are used to contract and expand the robot legs so that it can be caparable of various environments. Geared motor, spring, and belt were selected based on the static and dynamic calculation to be suitable to horizontal and vertical travels. The center body is equipped with a camera and the distance sensors, and a control algorithms are implemented so that it can be successfully performed in L-type and T-type ducts. Using UWB modules and trilateration algorithm, the location of the duct-cleaning robot inside the duct could be identified successfully.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.37-42
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• 2019

This study investigated the policies of return to farm & rural of the local government 's local communities. Through this, we intend to provide information for the successful establishment of the policies of the local village. The local economy is difficult due to the declining population. Therefore, it is also important as a way to increase the population. It is also important as a way to revitalize agriculture. The results of this study are as follows. The main factors are education, self-sufficiency, adaptation, funding, and consulting. In addition, the importance of these was highest in the self-supporting environment (28%). Followed by adaptation (21%) and funding (20%). Followed by consulting (17%) and education (15%). We can conclude that the factors that show a somewhat lower proportion are less important, but we can also conclude that the importance of the factors is high due to the high maturity of the factors. The importance analysis used AHP technique. The results of this study can be a guide for government policy.

• Journal of the Korean Society of Food Culture
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• v.34 no.1
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• pp.34-43
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• 2019

The aim of this study was to develop and evaluate a nutrition education program that was designed to increase the knowledge, attitudes, and skills of Korean adults regarding nutrition labeling. The education program was 45 minutes of short-term training, which was conducted in the form of lectures and exercises. The contents of the program were as follows: in the introduction stage, talking about status and reasons for checking nutrition labels; in the development stage, explanation of nutrition labeling and their content, reading, and identifying sample nutrition labels, as well as comparing nutrition labels and selecting better foods; in the closing stage, summary of nutrition labeling and a pledge to check nutrition labels when purchasing processed food. A total of 53 adults (88.5% female) aged 30 years and over participated in this study. The nutrition labeling awareness of the subjects was increased significantly from 55.8 to 96.2% after the education. After the education, the correct recognition rate of a nutrition label was increased significantly from 26.9 to 78.8% for the amount of food, from 25.0 to 73.1% for the calorie content, from 36.5 to 69.2% for the nutrient contents, and from 30.8 to 82.7% for the percent daily value. The self-efficacy of checking nutrition labels was also increased significantly compared to that before the education. The overall satisfaction score of the nutrition education program was 4.2 out of 5. The outcome showed that the nutrition education program of nutrition labeling improved the participants' awareness and self-efficacy towards checking nutrition labels.

• Journal of Broadcast Engineering
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• v.24 no.1
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• pp.67-76
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• 2019

In this paper, we propose an efficient object classification method based on semantic segmentation for multi-labeled image data. In addition to various pixel unit information and processing techniques such as color information, contour, contrast, and saturation included in image data, a detailed region in which each object is located is extracted as a meaningful unit and the experiment is conducted to reflect the result in the inference. We use a neural network that has been proven to perform well in image classification to understand which object is located where image data containing various class objects are located. Based on these researches, we aim to provide artificial intelligence services that can classify real-time detailed areas of complex images containing various objects in the future.

• The Journal of the Acoustical Society of Korea
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• v.38 no.1
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• pp.39-46
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• 2019

In this paper, combining features is proposed as a way to enhance the classification accuracy of sounds under noisy environments using the CNN (Convolutional Neural Network) structure. A robust log Mel-filter bank using Wiener filter and PNCCs (Power Normalized Cepstral Coefficients) are extracted to form a 2-dimensional feature that is used as input to the CNN structure. An ebird database is used to classify 43 types of bird species in their natural environment. To evaluate the performance of the combined features under noisy environments, the database is augmented with 3 types of noise under 4 different SNRs (Signal to Noise Ratios) (20 dB, 10 dB, 5 dB, 0 dB). The combined feature is compared to the log Mel-filter bank with and without incorporating the Wiener filter and the PNCCs. The combined feature is shown to outperform the other mentioned features under clean environments with a 1.34 % increase in overall average accuracy. Additionally, the accuracy under noisy environments at the 4 SNR levels is increased by 1.06 % and 0.65 % for shop and schoolyard noise backgrounds, respectively.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.295-300
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• 2019

Modern society is the era of convergence, and storytelling requires the necessity of storytelling in which two types of data types, emotional stories and information, are fused. Particularly, in the case of VR contents, the user must directly participate in the content and select the information through the process of freely searching $360^{\circ}$ space, so that the user can interact with the content immediately. Therefore, there is a limit to access to the existing storytelling method, and it is considered that the implementation of 'convergent storytelling' that meets two areas of sensitivity and information is considered to be an urgent genre. In this paper, we focus on the spatial characteristics of VR contents, and then, as a way to effectively implement 'convergent storytelling' in VR contents, We propose a custom system by organizing the type into a circle structure. Based on this, it is expected that the technology will be developed into a research of a personalized system that meets two areas of emotion and information by utilizing the context recognition process for VR content and interaction in the fourth industrial revolution era.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.83-97
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• 2019

This study is a qualitative research to find out the experiences of the students who are helping students with disabilities in S University in Busan and the perceptions of their role as assistants. 12 student participants were divided into three groups, and group focus interviews were conducted. Four improvement points (systematizing selection, monitoring expenses, and strengthening education system) were derived for the support system for students with disabilities, and based on these four concepts, 10 categories were deduced. From the results, we suggested the improvement plan of the project to support college students with disabilities.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.371-376
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• 2019

Creative thinking appears even before it is expressed in language, and its existence is revealed through emotion, intuition, image and body feeling before logic or linguistics rules work. In this study, Lego is intended to present experimental child interactive content that is applied with a computer vision based on image processing techniques. In the case of infants, the main purpose of this content is the development of hand muscles and the ability to implement imagination. The purpose of the analysis algorithm of the OpenCV library and the image processing using the 'VVVV' that is implemented as a 'Node' in the midst of perceptual changes in image processing technology that are representative of object recognition, and the objective is to use a webcam to film, recognize, derive results that match the analysis and produce interactive content that is completed by the user participating. Research shows what Lego children have made, and children can create things themselves and develop creativity. Furthermore, we expect to be able to infer a diverse and individualistic person's thinking based on more data.