• 한국실내디자인학회논문집
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• 제18권3호
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• pp.20-28
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• 2009

Recently, the interest is increased rapidly about the New Hanok as contemporary house. Therefore, the purpose of this paper is to recognize New Hanok as valuable things, which represents traditionality of urban, and to seek how it can be developed as contemporary house. This research analyze the characteristics of New Hanok is built since 2000. The result are as followings. First, many contemporary architects used only the roofing tiles and traditional Hanok elevation design as the design vocabulary of New Hanok. In future, the design vocabulary of New Hanok must be developed variously. Secondly, the construction of New Hanok is possible from the land of minimum $100m^2$ in a city can be found. Thirdly, as a result of having analyzed at the form and the spatial side, it has been analyzed that New Hanok can be divided into 3 types in the form side, which is 'the transfiguration of format', 'the motive borrowing of traditional elements', 'the vertical extension and reconstruction'. In the spatial side, it has been analyzed that New Hanok can be divided into 3 types, which is 'the center of Madang', 'the integration of circulation', 'the transfiguration of design principle'. Lastly, The contemporary architects were analyzed into having a thought that New Hanok must maintain an appearance of Hanok.

• 산업경영시스템학회지
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• 제28권3호
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• pp.133-141
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• 2005

The previous research has been mainly focused on individual technology of voice recognition, voice synthesis, translation, and bone transmission technical. Recently, commercial models have been produced using aforementioned technologies. In this research, a new automated translation support system concept has been proposed by combining established technology of bone transmission and wireless system. The proposed system has following three major components. First, the hybrid system consist of headset, bone transmission and other technologies will recognize user's voice. Second, computer recognized voice (using small server attached to the user) of the user will be converted into digital signal. Then it will be translated into other user's language by translation algorithm. Third, the translated language will be wirelessly transmitted to the other party. The transmitted signal will be converted into voice in the other party's computer using the hybrid system. This hybrid system will transmit the clear message regardless of the noise level in the environment or user's hearing ability. By using the network technology, communication between users can also be clearly transmitted despite the distance.

• 스마트미디어저널
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• 제8권2호
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• pp.74-79
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• 2019

기존의 복합명사 분해 알고리즘은 미등록어 단위명사들이 포함된 복합명사를 분해할 때 미등록어를 분리하기 어려운 문제가 발생한다. 이는 현실적으로 모든 고유명사, 신조어, 외래어 등의 모든 단위 명사를 사전에 등록하는 것은 불가능하다는 한계가 존재하기 때문이다. 이 문제를 해결하기 위하여 복합명사 분해 문제를 태그 열 부착(sequence labeling) 문제로 정의하고 음절 단위 임베딩과 딥러닝 기법을 이용하는 복합명사 분해 방법을 제안한다. 단위명사 사전을 구축하지 않고 미등록 단위명사를 인식하기 위하여 복합명사를 구성하는 각 음절들을 연속적인 벡터 공간에 표현하여 LSTM과 선형체인(linear-chain) CRF를 이용하는 방식으로 복합명사를 단위명사들로 분해한다.

• 한국안전학회지
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• 제33권6호
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• pp.128-135
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• 2018

Currently, the government selects products that are likely to cause harm to consumers as safety management targets and classifies them into three types: safety certification, safety confirmation, and supplier conformity verification. In addition, the government conducts safety surveys on products in circulation or accident products, and recalls products that are of great concern to consumer risks. In this paper, we have developed RAP (Risk Assessment method based on Probability), which is a probability based product risk assessment method, for the classification of safety management type of product and safety investigation, and have shown an application example. In this process, information is used for the CISS (Consumer Injury Surveillance System) of the Korean Consumer Agency. In addition, we apply the cluster analysis to classify the current supervised children products into three groups. Then, we confirm the effectiveness of RAP by comparing the result of RAP application, cluster analysis result and current safety management classification type. Also, we recognize the need to review the current safety management classification criteria for classifying products into three types.

• 산업융합연구
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• 제15권1호
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• pp.43-52
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• 2017

Robot refers to machines that recognize the external environment and assess the given situations in order to operate autonomously by imitating the manner in which humans behave. Although Korea still lacks global competitiveness, Korea, as the $4^{th}$ ranked robot manufacturing country in the world, is currently expanding the domains of robots from application in manufacturing to application in service provision. Accordingly, this study aims to analyze the factors for the success in entry into the cooperation robot market among various robotic markets in accordance with the literary research method in consideration for the importance of robot industry that could determine the future national competitiveness. The result of the analysis of the factors for the success in entry into the cooperation robot market, shows that factors including analysis of the trends in manufacturing robot market, strategy for benchmarking of the leading cooperation robot companies, activation of small and medium enterprise-centered cooperation robotic industry, excavation of demands for cooperation robots with focus on automobile, semiconductor and IT industries, utilization of the opportunities provided by government's robotic industry policies and standardization of cooperation robot components, etc. determine whether one will succeed in the market or not. Furthermore, it is believed that fortification of competitiveness of the manufacturing sector through the powerful policy support for the robotic industry at government level and policies on cultivation of new growth engine through specialization of the robotic areas closely related to daily life must be implemented concurrently because it is forecasted that competitiveness in robotics technology will become the criterion for national competitiveness in the future.

• ETRI Journal
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• 제44권3호
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• pp.476-490
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• 2022

With the recent advances in technology, automatic speech recognition (ASR) has been widely used in real-world applications. The efficiency of converting large amounts of speech into text accurately with limited resources has become more vital than ever. In this study, we propose a method to rapidly recognize a large speech database via a transformer-based end-to-end model. Transformers have improved the state-of-the-art performance in many fields. However, they are not easy to use for long sequences. In this study, various techniques to accelerate the recognition of real-world speeches are proposed and tested, including decoding via multiple-utterance-batched beam search, detecting end of speech based on a connectionist temporal classification (CTC), restricting the CTC-prefix score, and splitting long speeches into short segments. Experiments are conducted with the Librispeech dataset and the real-world Korean ASR tasks to verify the proposed methods. From the experiments, the proposed system can convert 8 h of speeches spoken at real-world meetings into text in less than 3 min with a 10.73% character error rate, which is 27.1% relatively lower than that of conventional systems.

• Journal of Nutrition and Health
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• 제35권9호
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• pp.996-1006
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• 2002

A total of 321 salaried employees were surveyed by questionnaires during September and October 2001 in order to investigate the bases for their choices between 26 popular menu items in JinJu restaurants. The subjects were aged 20 to 61 years, and were classified into 3 age groups (ages 20-29, 30-39, and over 40) and 2 gender groups. The data were analyzed using the SAS program for factor analysis. The results of this study were as follows: 1) The 26 popular menu items were classified into 6 factors by the 20-29 age group, into 5 factors by the 30-39 age group, and into 3 factors by the over 40 age group. The younger age group had the more numbers of factor which act as choice criteria of restaurant foods according to the purpose of eating out. 2) Because subjects classified steak and fast food into the same factor named 'new generation's food', we found that steak was an unfamiliar food for most of them, 3) The 20-29 age group had an aversion to Boshintang(dog soup), while the 30-39 age group and the over 40 age group liked Boshintang as a stamina food. 4) The over 40 age group, and men in all age groups, didn't choose Buffet and Shabushabu as a dinner food because they had negative attitudes toward novel or unfamiliar foods. 5) Women distinguished between a factor called 'social drink and party food' from a facor called 'dinner food', while men integrated the factor of 'dinner food' into the factor of 'social drink and party food' 6) Men preferred Samgyetang (chicken stew with ginseng) and Yangnyeumtongdak (spicy fried chicken) as a 'social drink and party food', while women preferred Dwaejibossam (boiled pork and kimchi) and Beef Bulgogi. In conclusion, most of subjects did not recognize fast food and steak as a meal, which were introduced recently in JinJu. The choice criteria and preferences of restaurant foods were different from the age and gender groups. The over 40 age group, and men in all age groups, had more negative attitudes toward novel or unfamiliar foods than the younger age and women groups.(Korean J. Nutrition 35(9) : 996~1006, 2002)

• 한국정보시스템학회지:정보시스템연구
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• 제21권3호
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• pp.23-44
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• 2012

The first purpose of this paper is to identify factors having an effect on the user satisfaction of the SNS(Social Network Services) users and to examine causal relationships among those factors. The second is to examine how the causal relationships between the factors could be changed in the service types in SNS, which would be divided into web based SNS and mobile SNS. For achieving the purposes, we established the research model and hypotheses based on Information Success and Technology Acceptance Model. The characteristics of the SNS users consist of Individual Innovation and Social Influence while the characteristics of the SNS system consist of Information Quality and System Quality. The hypotheses were verified by analyzing data, which was collected from survey research on users of the SNS, with AMOS 18.0 statistical package. As a result, the first, we observed that more important the SNS users would consider the social relation, more useful they would recognize the function of SNS. The second, we observed that faster and easier the users could obtain hourly information in diversity, more useful they would recognize the function of SNS. The third, we observed that more innovative the mobile SNS users would become, more negative they would consider the usefulness of SNS. The fourth, we observed that more important the web based SNS users would consider the social relation, more negative they would consider the usefulness of SNS.

• 대한세포병리학회지
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• 제17권2호
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• pp.99-107
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• 2006

In the investigation of superficial lymphadenopathy of unknown cause, fine needle aspiration (FNA) cytology plays an invaluable role. It enables the differentiation of benign lymphadenopathy from lymphoid and non-lymphoid malignancies, obviating the need for open biopsy, and allowing the triage of patients. Cytopathologists should be familiar with the typical FNA patterns of benign lymphadenopathy, and recognize and differentiate among categories. In a minority of cases of benign lymphadenopathy, FNA can render a specific diagnosis. Benign lymphadenopathies are generally categorized into reactive lymphoid hyperplasia (RLH), inflammatory or infectious processes, and benign lymphoproliferative disorders. RLH characteristically presents with a heterogeneous and polymorphous smear composed of normal cellular constituents of lymph nodes, in contrast with the homogeneous or monomorphic smear of most lymphomas. The caveat is that various malignant disorders may also present with polymorphous populations. It is also important to recognize thatbenign lymphoid smears may sometimes contain atypical cells that raise the suspicion of malignancy. Clinical information should always be the integral part of the diagnostic criteria in FNA of lymphadenopathy. If there is any doubt about the benign nature of the smear, it is prudent to suggest biopsy and ancillary studies.

• 로봇학회논문지
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• 제9권3호
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• pp.185-195
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• 2014

This study aims to look into students' and teachers' recognition about learning with a humanoid robot and seek for a policy implication for the direction of education using humanoid robot. To achieve this goal, a survey with elementary school students and teachers was used as the method of analysis. The main results are as follows: There was a difference in the recognition of the teachers and the students regarding the most effective subject through the use of humanoid robot. While the students consider Physical Education as the major subject, the teachers consider Science as the one. The students recognize that the use of humanoid is most effective in helping their learning while the teachers recognize that it is most effective in helping their teaching. As an expected positive effect, both of them choose an increase in interest in learning as the main effect of the use of humanoid robot, but the students, unlike the teachers, consider the improvement of their academic achievement as its main effect as well. These results show differences in the recognition of the use of humanoid between the teachers and the students, and in addition, confirm the difference between them depending on their background.