• Title/Summary/Keyword: 기술적 언어

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Design and Implementation of the ChamCham and WordChain Play Robot for Reduction of Symptoms of Depressive Disorder Patient (우울증 진단 환자의 증상 완화를 위한 참참참, 끝말잇기 놀이 로봇 설계 및 구현)

  • Eom, Hyun-Young;Seo, Dong-Yoon;Lee, Gyeong-Min;Lee, Seong-Ung;Choi, Ji-Hwan;Lee, Kang-Hee
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.2
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    • pp.561-566
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    • 2020
  • We propose to design and to implement a recreational and end - of - play robot for symptom relief in patients with depression. The main symptom of depression is the loss of interest and interest in life. The depression diagnosis patient confirms the emotional analysis revealed by his / her robot through the robot, and performs the greeting or ending play. After analyzing the emotions in the expressions after the play, the function of the embodying robot is confirmed by receiving the report. A simple play can not completely cure a patient with a diagnosis of depression, but it can contribute to symptom relief through gradual use. The design of the play-by-play robot is using Q.bo One, an open-source robot that can interact with Thecorpora. Q.bo One's system captures a user's face, takes a picture, passes the value to the Azure server, and checks the emotional analysis before and after the play with the accumulated data.Play is implemented in Rasubian, the OS of Q.bo One, using the programming language Python and interacting with external sensors. The purpose of this paper is to help the symptom relief of depressive patients in a relatively short time with a play robot.

The Behavior Economics in Storytelling (이야기하기의 행동경제학)

  • Kim, Kyung-Seop;Kim, Jeong-Lae
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.4
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    • pp.329-337
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    • 2019
  • It is true that many tales delivered in an 'Story-telling' auditorium or theater have not so much exquisite and refined forms as distorted and deteriorated ones. Furthermore, when false interpretations of tale-performers added into the category of the texts of tales, the problems can be made worse. In case of oral folk tales, there can be discordance between the standpoint of a tale-performer and the contents of a tale. This thesis is directly aimed at pointing out the 'Behavior Economics' problems concerned with the reading and interpretation of tales through investigating the missing parts of a text in reading tales. Man's rationality is meant to be confined to bounded rationality. Instead of making best choices, bounded rationality leads consumers to make a decision which they think suffices themselves to the point requiring no more consideration on the given item. It is the very Heuristic that does work in the process of this simplified decision making process. Heuristic utilizes established empirical notion and specific information, and that's why there can be cognitive 'Biases' sometimes leading to inaccurate judgment. As Oral Literature is basically based on heavy guesswork and perceptual biases of general public, it is imperative to contemplate oral literature in the framework of Heuristic of behavior economics. This thesis deals with thinking types and behavioral patterns of the general public in the perspective of heuristic by examining 'Story-tellings' on the basis of personal or public memory. In addition, heuristic involves how to deal with significant but intangible content such as the errors of oral story teller, the deviations of the story, and responses of the audience.

Evaluation and Determination of System Design Alternatives Utilizing a SysML-Based M&S Method for Achieving Functional Safety (SysML 기반 모델링 및 시뮬레이션 기법을 통한 기능안전 설계 대안들의 평가 및 결정 방법)

  • Jung, Ho-Jeon;Lee, Jae-Chon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.11
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    • pp.574-582
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    • 2018
  • In systems such as railways, automobiles, and airplanes, system malfunctions may lead to accidents, which often cause serious personal injury and economic loss. In previous studies, failure analysis has been performed, and safety measures derived using the component level information to reduce damage when a failure occurs. However, in functional safety concept, a focus is placed on lowering the frequency of occurrence of failures by performing risks analysis, setting up safety goals, and designing safety functions. Therefore, it is necessary to study how to determine the required safety function that can reduce the failure frequency to the acceptable level. To achieve this, we first studied a failure modeling method using SysML. It was then presented how several alternatives can be assessed to determine the desired safety function by simulating the generated SysML failure models and calculating the ability to reduce the failure frequency. A case study of a railway signaling system was done, demonstrating the effectiveness of the approach. We assessed whether the safety objectives were met for the alternative design of the railway signaling system through M & S. The results can be useful in that it can be applied from the early design phase and allow to choose the appropriate safety function that satisfies safety objectives among various design alternatives.

Characteristics of the Oropharyngeal Swallowing Impairment in Stroke Patient using the Modified Barium Swallowing Impairment Profile (MBSImP에 따른 뇌졸중 환자의 삼킴 장애 양상 분석)

  • Im, Ikjae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.7
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    • pp.36-44
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    • 2019
  • Swallowing impairment is a frequent complication following stroke. The characteristics of swallowing impairment with stork patient can facilitate identification of individuals at risk of dysphagia would be of great helpful. The present study examined oropharyngeal swallowing impairment with subacute stroke patients using the Modified Barium Swallowing Impairment Profile(MBSImP). The 49 consecutive patients with the supratentorial stroke met inclusion criteria for the present study. A retrospective review was performed of patients who underwent the videofluoroscopic swallowing study(VFSS). Of Stroke patients, 95.9% exhibited abnormal function of lip closure. 98% and 57.1 % shown abnormal tongue function and lingual motion, respectively. Oral residue was present in 51% and delayed pharyngeal response was present in 89.9%. In addition, abnormal laryngeal and hyoid excursion was seen in 42.9% and 87.8%, respectively. Abnormal function of soft palate elevation was present in 18.4% and abnormal epiglottic movement was seen in 4.1%. 30.6% of 30.6% of these patients exhibited abnormal laryngeal closure. All of the stroke patients(100%) in this study exhibited abnormal pharyngeal stripping wave and pharyngoesophageal segment opening. Abnormal tongue base retraction and oral reside were present 91.8%, respectively. The results suggest that stroke patient is more likely to exhibit reduced swallowing functions including lip closure, tongue control, initiation of pharyngeal swallow, anterior hyoid motion, tongue base retraction, pharyngeal residue and pharyngoesophageal contraction. Therefore, these data could provide valid and precise information regarding physiological evidence to delineate symptoms of dysphagia in this stroke cohort. Future studies should explore the bolus effect in the swallowing impairment.

Design and implementation of an AI-based speed quiz content for social robots interacting with users (사람과 상호작용하는 소셜 로봇을 위한 인공지능 기반 스피드 퀴즈 콘텐츠의 설계와 구현)

  • Oh, Hyun-Jung;Kang, A-Reum;Kim, Do-Yun;Jeong, Gu-Min
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.13 no.6
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    • pp.611-618
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    • 2020
  • In this paper, we propose a design and implementation method of speed quiz content that can be driven by a social robot capable of interacting with humans, and a method of developing an intelligent module necessary for implementation. In addition, we propose a method of implementing speed quiz content through the process of constructing a map by arranging and connecting intelligent module blocks. Recently, software education has become mandatory and interest in programming is increasing. However, programming is difficult for students without basic knowledge of programming languages to directly access, and interest in block-type programming platforms suitable for beginners is growing. The block-type programming platform used in this paper is a platform that supports immediate and intuitive programming by supporting interactions between humans and robots. In this paper, the intelligent module implemented for the speed quiz content was used by blocking it within a block-type programming platform. In order to implement the scenario of the speed quiz content proposed in this paper, we implement a total of three image-based artificial intelligence modules. In addition to the intelligent module, various functional blocks were placed to implement the speed quiz content. In this paper, we propose a method of designing a speed quiz content scenario and a method of implementing an intelligent module for speed quiz content.

Convergence Reconstruction of Transition Education Model for Korean Students with Disabilities: A Feasibility View on the Development of Support System for Lifelong Education for the Disabled through the Linkage between Schools and Community (한국 장애학생 전환교육(transition education) 모델 융합 재구성: 학교-지역사회 연계 장애인평생교육지원체제 개발 타당성 관점)

  • Kim, Young-Jun;Kim, Wha-Soo;Kwon, Ryang-Hee
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.95-104
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    • 2021
  • This study was conducted for the purpose of convergence reconstruction of the transition education model for students with disabilities in Korea. Ultimately, this study was also conducted with the aim of enhancing the perspective of the development of a lifelong education support system for the disabled in connection with schools and communities. The research method consisted of a procedure with a meeting of experts based on the procedure of analyzing the previous research literature that tried to materialize the transition education model for students with disabilities from the viewpoint of connection between school age and adulthood. The contents of this study were reflected in the dimension of ensuring consistent connectivity validity based on the viewpoint of school-centered, community-centered, education, and welfare between special education and lifelong education for the disabled in order to reconstruct the conversion transition education model constructed in the current special education field. Accordingly, the transition education model for students with disabilities built in the field of special education centered on school age minimizes the tendency of a fragmented approach between school age and adulthood, and presents a standard basis and structure that can be linked to the entire adulthood. The transition education model was reconstructed convergence in terms of content.

A Study on Webtoon Background Image Generation Using CartoonGAN Algorithm (CartoonGAN 알고리즘을 이용한 웹툰(Webtoon) 배경 이미지 생성에 관한 연구)

  • Saekyu Oh;Juyoung Kang
    • The Journal of Bigdata
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    • v.7 no.1
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    • pp.173-185
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    • 2022
  • Nowadays, Korean webtoons are leading the global digital comic market. Webtoons are being serviced in various languages around the world, and dramas or movies produced with Webtoons' IP (Intellectual Property Rights) have become a big hit, and more and more webtoons are being visualized. However, with the success of these webtoons, the working environment of webtoon creators is emerging as an important issue. According to the 2021 Cartoon User Survey, webtoon creators spend 10.5 hours a day on creative activities on average. Creators have to draw large amount of pictures every week, and competition among webtoons is getting fiercer, and the amount of paintings that creators have to draw per episode is increasing. Therefore, this study proposes to generate webtoon background images using deep learning algorithms and use them for webtoon production. The main character in webtoon is an area that needs much of the originality of the creator, but the background picture is relatively repetitive and does not require originality, so it can be useful for webtoon production if it can create a background picture similar to the creator's drawing style. Background generation uses CycleGAN, which shows good performance in image-to-image translation, and CartoonGAN, which is specialized in the Cartoon style image generation. This deep learning-based image generation is expected to shorten the working hours of creators in an excessive work environment and contribute to the convergence of webtoons and technologies.

A Study on the Outside of Discourse from the Views of Foucault and Bakhtin (푸코와 바흐친을 통해 바라본 담론의 바깥)

  • Jo, Su-gyeong
    • Journal of Korean Philosophical Society
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    • v.117
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    • pp.327-354
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    • 2011
  • This study has a key assumption that 'characteristics of discouse can be found in not its inside, but its outside'. The prism through which we can see those characteristics was provided by Foucault and Bakhtin who were introduced in the study. As an effort co probe the outside of discourse, the study is briefed 'the three attributes of discourse' that were suggested by Foucault First, discourse has the principle of selection and exclusion, which is based on power relations. Second, discourse is not transparent at all since it is always offensive towards other discourses and defensive against selected ones Third, discourse which is naturally accepted because of its dailiness had a deep structure secretly hidden in it. Based on the above attributes, Foucault and Bakhtin paid their attention to the outside of discourse. Specifically, they considered discourse fundamentally and went beyond it, and reflected the procedures of discourse. This study focused on 'Socrates', something common in the two scholars' works with discourse. In dealing with discourse, Bakhtin started with 'Socratic dialogue' that is based on the dialogic nature of human thoughts which purse the truth. For Foucault, it was Socrates who had the 'courage to cell the truth' and practiced 'self-consideration'. According to Foucault, the ethics of self-practice originated from the philosopher. The ethics is neither the precise representation of individual life that is withdrawn towards the inner self, nor the skills of happiness. It is just relational and cross-sectional. For a better understanding, this study pointed out that Kafka created a variety of 'dialogic voices' focusing on the outside of discourse. Dialogues found in his writings are 'interminable dialogues' that truly 'communicate with different times and different spaces'. For example, his novel, 'Der Prozess' opens the possibility of discussing in various ways the court which is look beyond conventions and extraordinary. Kafka's novels have a structure that their starting point found at the introduction reappears at the termination, presenting multi-vocal dialogues.

Studies on a Characteristic of 『About Stage Drama Arts』 (연극론 『연극예술에 대하여』의 특성 연구)

  • Kim, Jeong-Soo
    • (The) Research of the performance art and culture
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    • no.22
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    • pp.123-155
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    • 2011
  • This study aims to closely read Kim Jong-il's "About Stage Drama Arts" and disclose the new reality as evaluated by him. The study took the method by which to compare Kim Jong-il's theory on drama and North Korea's drama theory in the 1950s, and the findings of this study revealed that it was irrational to grant the adjective "new" to Kim Jong-il's drama theory. This is because tradition inheritance and newness cross each other. First, his tradition inheritance aspect was found in his playwriting method. In playwriting method, Kim Jong-il's argument about characters and language is an extension of the 1950s drama theory, and his theory on JongZa(seeds) is the transformation of the concept proposed in the 1950s. Also, the expression means of dramas and drama arts is dialogue, and his guideline to focus on the art of conversation rather than on acting is interpreted to be a reduced concept of drama arts, compared with the 1950s drama theory. On the other hand, his newness aspect can be clearly discovered in the materialization of stage. The fixed stage background, without dark change, shifts to another situation as it is, and this stage setting is clearly distinguished from the previous stage setting. The attempt is worth highly evaluating to allow the stage to reflect actors' emotional flows and let them act. Also, the attempt is distinctively distinguished from previous drama theories to allow the chorus' positive involvement in dramas so as to directly deliver characters' emotions to the audience and to trigger the audience' response as intended by creators. From the perspectives of drama evaluation, Kim Jong-il's theory and practice regarding stage and music is understood to maximize the audio-visual effects. Therefore, Kim Jeong-il's drama theory, as he argues, is not a completely new theory, but a transformational inheritance of existing drama theories, and a creation theory with focus on expansion of spectacles.

Fruit price prediction study using artificial intelligence (인공지능을 이용한 과일 가격 예측 모델 연구)

  • Im, Jin-mo;Kim, Weol-Youg;Byoun, Woo-Jin;Shin, Seung-Jung
    • The Journal of the Convergence on Culture Technology
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    • v.4 no.2
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    • pp.197-204
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    • 2018
  • One of the hottest issues in our 21st century is AI. Just as the automation of manual labor has been achieved through the Industrial Revolution in the agricultural society, the intelligence information society has come through the SW Revolution in the information society. With the advent of Google 'Alpha Go', the computer has learned and predicted its own machine learning, and now the time has come for the computer to surpass the human, even to the world of Baduk, in other words, the computer. Machine learning ML (machine learning) is a field of artificial intelligence. Machine learning ML (machine learning) is a field of artificial intelligence, which means that AI technology is developed to allow the computer to learn by itself. The time has come when computers are beyond human beings. Many companies use machine learning, for example, to keep learning images on Facebook, and then telling them who they are. We also used a neural network to build an efficient energy usage model for Google's data center optimization. As another example, Microsoft's real-time interpretation model is a more sophisticated translation model as the language-related input data increases through translation learning. As machine learning has been increasingly used in many fields, we have to jump into the AI industry to move forward in our 21st century society.