• Journal of Fisheries and Marine Sciences Education
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• v.28 no.5
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• pp.1348-1357
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• 2016

This study was to describe the process on experiences of self-leading leisure activities and develop a substantive theory that explains lifestyle in middle-aged office workers. The participants were 12 persons who had participated in self-leading leisure activities. Data were collected with in-depth interviews and analyzed by grounded theory in Strauss and Corbin. Through analyzing process, 28 concepts, 14 subcategories, and seven categories were deduced. The periods of process were divided four stages, plateau, the phage of recognition in social duties, the phage of strengthen in competency, and the phage of reconstruct in successful lifestyle. The core category, 'disclosing of self-esteem' incorporated the relationship between and among all categories and explained the process. The findings indicate that self-leading leisure activities helped to their own health and developed their social activities. Therefore, we would consider in developing health promotion program about favoring leisure activities factors for the middle age office worker.

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.281-282
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• 2018

본 연구는 4차 산업혁명시대 문화콘텐츠산업의 문화 재생산, 개발, 유통, 소비 흐름에 초점을 맞추어 문화라는 것이 어떠한 형태로 발전되어야 현재의 기술 융합에 하나의 콘텐츠로서 강점을 가지는지에 관하여 논의한 것이다. 이를 위해 전문종사자의 인터뷰를 진행하였다. 연구 결과, 문화콘텐츠산업, 문화 재생산에 따른 4차 산업혁명 기술 융합에 새로운 요건과 다양한 발전 방향, 가치 창출, 반대급부 대응의 설계, 문화콘텐츠산업 개발 인식에 관하여 논의가 되었고, 개발되어진 문화콘텐츠산업의 유통과 마케팅의 상생방안에 관하여 집중적이면서 광범위한 활성화 방안 필요성을 인식하고 있었다.

• Proceedings of the KSPS conference
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• 2003.05a
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• pp.23-26
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• 2003

This paper presents common speech database collection for telecommunication applications. During 3 year project, we will construct very large scale speech and text databases for speech recognition, speech synthesis, and speaker identification. The common speech database has been considered various communication environments, distribution of speakers' sex, distribution of speakers' age, and distribution of speakers' region. It consists of Korean continuous digit, isolated words, and sentences which reflects Korean phonetic coverage. In addition, it consists of various pronunciation style such as read speech, dialogue speech, and semi-spontaneous speech. Thanks to the common speech databases, the duplicated resources of Korean speech industries are prohibited. It encourages domestic speech industries and activate speech technology domestic market.

• Information Systems Review
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• v.3 no.1
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• pp.83-101
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• 2001

Studies about wireless internet have been focused on technology issues and few studies were shown in the adoption of wireless internet services. This study uses Technology Acceptance Model in order to understand influencing factors in acceptance of wireless internet services. Reviewing by TAM related studies, this study regards the influencing factors as personal and social environmental dimensions in the case of wireless internet services, and these two factors are used. Two dependent variables-intention and current usage-are adopted for analyzing the effects of the two factors on two dependent variables via mediating variables. The results of this study show that age, frequency of mobile phone usage, occupation, and the recognition level of wireless internet services affected the intention and current usage of these services.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.542-544
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• 2019

Changes in a person's health affect one's lifestyle and work activities. According to the World Health Organization (WHO), abnormal activity is growing faster in people aged 60 or more than any other age group in almost every country. This trend steadily continues and expected to increase further in the near future. Abnormal activity put these people at high risk of expected incidents since most of these people live alone. Human abnormal activity analysis is a challenging, useful and interesting problem among the researchers and its particularly crucial task in life and health care areas. In this paper, we discuss the problem of abnormal activities of old people lives alone at home. We propose Convolutional Neural Network (CNN) based model to detect the abnormal behaviors of elderlies by utilizing six simulated action data from daily life actions.

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.4
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• pp.661-673
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• 2021

The purpose of this study is to analyze the perceptions of obesity among appearance-conscious women in their 20s. It is intended to provide data necessary to produce garments for obese body types by identifying adult women's subjective assessments of obese body types and characteristics. The data were analyzed using Q Methodology in the QUANL program for PC. Type 1 was recognized as uniformly fat in the abdomen, with almost the same width and thickness. Type 2 was perceived to have more fat in the upper body and back, broad shoulders, and an inverted body type. Type 3 was perceived as having a fat lower half of the body, hips wider than the chest, and large thighs. Type 4 was identified as having few curves and fat concentrated in the abdomen. Further research of other age groups and regions is needed to ascertain the difference between perceived and actual body types.

• Journal of Information Processing Systems
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• v.15 no.5
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• pp.1171-1178
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• 2019

This study proposes a deep neural network model based on an encoder-decoder structure for visual dialogs. Ongoing linguistic understanding of the dialog history and context is important to generate correct answers to questions in visual dialogs followed by questions and answers regarding images. Nevertheless, in many cases, a visual understanding that can identify scenes or object attributes contained in images is beneficial. Hence, in the proposed model, by employing a separate person detector and an attribute recognizer in addition to visual features extracted from the entire input image at the encoding stage using a convolutional neural network, we emphasize attributes, such as gender, age, and dress concept of the people in the corresponding image and use them to generate answers. The results of the experiments conducted using VisDial v0.9, a large benchmark dataset, confirmed that the proposed model performed well.

• Journal of the Korea Society of Computer and Information
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• v.24 no.5
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• pp.59-66
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• 2019

According to the KT telecommunication statistics, people stayed inside their houses on an average of 11.9 hours a day. As well as, according to NSC statistics in the united states, people regardless of age are injured for a variety of reasons in their houses. For purposes of this research, we have investigated an abnormal event detection algorithm to classify infrequently occurring behaviors as accidents, health emergencies, etc. in their daily lives. We propose a fusion method that combines three classification algorithms with vision pattern, audio pattern, and activity pattern to detect unusual user events. The vision pattern algorithm identifies people and objects based on video data collected through home CCTV. The audio and activity pattern algorithms classify user audio and activity behaviors using the data collected from built-in sensors on their smartphones in their houses. We evaluated the proposed individual pattern algorithm and fusion method based on multiple scenarios.

• Journal of the Korea Society of Computer and Information
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• v.24 no.4
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• pp.161-167
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• 2019

In this paper, we propose a study on awareness of first aid of scuba diver. In order to achieve this purpose, a total of 310 customers over the age of 20 were selected as study participants form diving pools and dive resort in Seoul, Gyeonggi, Gangwon, Gyeongsang province area using the convenience sampling method However, only data from 295 customers were used after screening the data for reliability. The instrument for data collection was a questionnaire, and descriptive statistics, inter-item consistency reliability, pearson chi-square test were conducted on the data using the SPSS 21.0 version statistical package program. The followings are the results: The level differ significantly according hemorrhage, abrasion, sprain, fracture, fever, arrest, airway obstruction. As a result of analyzing the difference of first aid recognition according to the level of scuba diver, we found bleeding patients, abrasions, sprains, fractures, high heat exposure patients, cardiac arrest patients. There was a statistically significant difference in the level of airway obstruction due to food.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.4
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• pp.67-74
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• 2020

As the information age develops, Online education and Non-face-to-face work are becoming common. Telecommuting such as tele-education and video conferencing through the application of information technology is also becoming common due to the COVID-19. Unexpected information leakage can occur online when the company conducts work remotely or holds meetings. A system to authenticate users is needed to reduce information leakage. In this study, there are various ways to authenticate remote access users. By applying burn authentication using a biometric system, a method to identify users is proposed. The method used in the study was studied the main component analysis method, which recognizes several characteristics in facial recognition and processes interrelationships. It proposed a method that can be easily utilized without additional devices by utilizing a camera connected to a computer by authenticating the user using the shape and characteristics of the face by using the PCA method.