• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.569-583
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• 2018

In this study, we suggested a data structure for the management of human libraries based on the analysis of the significant components for systematically managing and operating the human library service. At first, we proposed the components of human library metadata set which are 'Human Resource', 'Human Resource', 'Librarian', 'Volunteer', and 'User'. And this study verified the meta concepts of metadata set such as 'Human Library', 'Human Book' and 'User', developed the metadata set for human library using the meta concepts. To check the validity of the metadata set and to improve its usability, we created and published a XML document including the metadata structure and link between the meta concepts. In conclusion, this study provided the possibility that the library could develop the service recommended human book to user through user profile.

• Journal of the Korean Society for Library and Information Science
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• v.54 no.4
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• pp.5-26
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• 2020

This study sought to propose desirable education direction for library-assisted instruction that uses human library in school library. For this purpose, this paper conducted a case study on the classes that use human library run by the library of S Girls' High School in Seoul. The main study results are summarized below. First, S Girls' High School Library implemented five human library programs in 2019, including improvement of perception on multi-culture, menstruation rights for all, generation-connecting MEMORO project, pregnancy and delivery, and improvement of perception on the disabled. Second, the students replied that they could imagine and immerse while listening to Human Book's story and that it was good to be able to ask questions if they had any. They said that those who acted as Human Book gave realistic advice, which was meaningful giving them a lot to learn. Some students replied that their previously negative perception turned positive.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.25 no.3
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• pp.9-28
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• 2014

As a new library system, the 'human library', in which a man becomes an information resource, provides a library service through face-to-face communication in delivering knowledge and information to users. Since the human library exchanges information with 'human books', it shows some characteristics that are different from traditional library services and connotes some meanings as a new library service. In that, this study focuses on the human library of Seongbuk-Gu, Seoul. Specifically, in order to enhance our understanding of the human library, this study looks into the theoretical underpinnings and the background of human library in Seongbuk-Gu, examines the case of the human library in Seongbuk-Gu, analyzes the factors that influence the human library, and makes some suggestions for improvement.

• Proceedings of the Korea Contents Association Conference
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• 2015.05a
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• pp.419-420
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• 2015

경제혁신 3개년 계획을 토대로 정부는 2015년 국내 생산가능 인구 감소에 대한 대응을 위해 외국인 인력 유치를 위한 휴먼 FTA를 발효하였다. 기존의 외국인 생산 인력에 대한 단순한 양적 증가뿐만이 아니라 해외로 생산거점을 이동한 국내 기업의 리턴을 유도하기 위해 석박사급의 고급 인력과 투자자 유치 등에 대한 내용도 포함하고 있다. 본 논문에서는 상기와 같은 노동시장의 새로운 제도인 휴먼 FTA에 대한 활성화와 원활한 운영을 위해 세계적으로 많이 사용되고 있는 트위터, 페이스북, 구글 등의 소셜 웹 데이터를 활용하여 국내 기업의 외국인 인력에 대한 고용 매칭을 위한 서비스 플랫폼을 제안한다.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.328-339
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• 2019

Shopping information contents shown on online shopping sites represent online retailer's intention to draw potential consumers' visual attention. However, unfortunately, previous studies in literature show that most of the shopping information contents are naively designed just to appeal to consumers' visual attention without systematic and logical analysis of consumers' possible different visual reactions depending on gender. To fill in the research void like this, this study proposes eye-tracking approach to investigating the research issue of how gender affects consumers' visual attention towards human brand image contents on the online shopping sites. For the sake of conducting related eye-tracking experiments, we adopted two types of products - notebook computer as a utilitarian product, and perfume as a hedonic product. Results revealed that female consumers show higher visual attention to human brand image contents than male consumers. Besides, significant gender difference exists on the human brand image contents more highly when they are attached with a hedonic product like perfume, than a utilitarian product like notebook computer. From the eye-tracking-based experiment results like this, this study suggested theoretical backgrounds about gender differences towards online shopping information contents and related human brand image contents as well.

• The Journal of the Korea Contents Association
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• v.17 no.12
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• pp.247-256
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• 2017

21st century has become an era can design human's image. By designing the each human's images it is possible to express the hidden abilities of their mind. Modern society changes rapidly where the elements such as consideration, sympathy, understandings, and female leadership of communication emerge as a spur rather than speediness or complexity.In a lot of global conglomerates, it is very common for women to be selected as CEO, and even more, the rate of woman who are the member of Congress is almost 40%. The fashion of female leader has come to the fore with an improvement of female leadership, and the fashion colour which is suitable to P.O has been developed as a significant image strategy. I am going to conduct the research and analyse the fashion of a female political leader through the colour image which is equivalent to a visual image and sensitive language. I will analyze the human image which female leaders present through fashion colors.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.2
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• pp.150-155
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• 2004

In this paper, an emotion recognition method using speech signal is presented. Six basic human emotions including happiness, sadness, anger, surprise, fear and dislike are investigated. The proposed recognizer have each codebook constructed by using the wavelet transform for the emotional state. Here, we first verify the emotional state at each filterbank and then the final recognition is obtained from a multi-decision method scheme. The database consists of 360 emotional utterances from twenty person who talk a sentence three times for six emotional states. The proposed method showed more 5% improvement of the recognition rate than previous works.

• Journal of Korean Society of Forest Science
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• v.113 no.2
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• pp.170-186
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• 2024

This study was conducted to identify the usage characteristics of the DMZ Punchbowl Trail (DPT) as a national forest trail (NFT) and to estimate its ripple effects on the local economy. The objective of this study is to provide policy implications for sustainable operational management. Out of the 500 questionnaires distributed, 215 respondents provided their complete travel itineraries and expenditures. The respondents, mainly aged 50 and above and residing in the Seoul Metropolitan Area, spend 3.5 hours of travel time to the DPT. Together with their families, the respondents typically spend approximately 4 hours for leisurely activities, primarily appreciation of scenic views and relaxation by visiting the "O-yubatgil." Furthermore, they extend their travels to other parts of Gangwon Province, where the DPT is situated. Within Gangwon Province, Yanggu County is the most visited destination. The respondents reported a notably higher average expenditure per visitor compared with the typical local walking tourists. Estimates show that the DPT generates an annual average of KRW 2.1 billion in direct expenditure (based on an average of 10,000 visitors for over five years), KRW 2.8 billion in production, and KRW 1.3 billion in added value, and it has created 40 jobs in Gangwon Province. The results of this study lies in empirically determining the specific economic scale and ripple effects of DPT as an NFT in the major sector, which occupies a significant portion of the Gangwon Province's local economy. The results will be instrumental in validating NFT policies and informing policy making for sustainable forest utilization.

• Journal of Korea Multimedia Society
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• v.15 no.7
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• pp.870-878
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• 2012

Recently, very rapid development of computer and sensor technologies induces various kinds of user interface (UI) technologies based on user experience (UX). In this study, we investigate and develop a smart touch projector system technology on the basis of IR sensor and image processing. In the proposed system, a user can control computer by understanding the control events based on gesture of IR pen as an input device. In the IR image, we extract the movement (or gesture) of the devised pen and track it for recognizing gesture pattern. Also, to correct the error between the coordinate of input image sensor and display device (projector), we propose a coordinate correction algorithm to improve the accuracy of operation. Through this system technology as the next generation human-computer interaction, we can control the events of the equipped computer on the projected image screen without manipulating the computer directly.

• Journal of Internet Computing and Services
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• v.23 no.1
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• pp.77-86
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• 2022

The Republic of Korea is a country in which coastal surveillance is an imperative national task as it is surrounded by seas on three sides under the confrontation between South and North Korea. However, due to Defense Reform 2.0, the number of R/D (Radar) operating personnel has decreased, and the period of service has also been shortened. Moreover, there is always a possibility that a human error will occur. This paper presents specific guidelines for developing an AI learning model for the intelligent coastal surveillance system. We present a three-step strategy to realize the guidelines. The first stage is a typical stage of building an AI learning model, including data collection, storage, filtering, purification, and data transformation. In the second stage, R/D signal analysis is first performed. Subsequently, AI learning model development for classifying real and false images, coastal area analysis, and vulnerable area/time analysis are performed. In the final stage, validation, visualization, and demonstration of the AI learning model are performed. Through this research, the first achievement of making the existing weapon system intelligent by applying the application of AI technology was achieved.