• 스마트미디어저널
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• 제11권1호
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• pp.31-37
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• 2022

본 논문은 일상생활에서 흔히 들을 수 있는 소리(비명소리, 박수 소리, 여러 명의 박수 소리, 자동차 지나가는 소리, 배경음 등)를 감지하는 음향 인식을 위하여, 신호처리 및 딥러닝을 적용하는 연구에 관한 것이다. 제안된 음향 인식에서는, 인식 정확도의 향상을 위해서 음향 파형의 스펙트럼, 음향 데이터의 증강, 2차원(2-D) 이미지 변환에 관한 기술들이 사용되었고, 예측의 정확도를 향상을 위한 앙상블 학습, Convolution Neural Network(CNN) 딥러닝 기술들이 적용된다. 제안된 음향 인식 기술은 실험을 통해 다양한 음향을 정확하게 인식할 수 있음을 보여준다.

• International journal of advanced smart convergence
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• 제12권2호
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• pp.47-55
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• 2023

The automotive industry is undergoing a paradigm shift due to the convergence of IT and rapid digital transformation. Various components, including embedded structures and systems with complex architectures that incorporate IC semiconductors, are being integrated and modularized. As a result, there has been a significant increase in vehicle defects, raising expectations for the quality of automotive parts. As more and more data is being accumulated, there is an active effort to go beyond traditional reliability analysis methods and apply machine learning models based on the accumulated big data. However, there are still not many cases where machine learning is used in product development to identify factors of defects in performance and durability of products and incorporate feedback into the design to improve product quality. In this paper, we applied a prediction algorithm to the defects of automotive door devices equipped with automatic responsive sensors, which are commonly installed in recent electric and hydrogen vehicles. To do so, we selected test items, built a measurement emulation system for data acquisition, and conducted comparative evaluations by applying different machine learning algorithms to the measured data. The results in terms of R² score were as follows: Ordinary multiple regression 0.96, Ridge regression 0.95, Lasso regression 0.89, Elastic regression 0.91.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제9권3호
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• pp.285-294
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• 2005

The author has been teaching with an instructional module consisting of many mathematical concepts, based on designs formed by personal names or words to arouse students' interesting in learning mathematics. This module has been growing since it was first used as a supplementary lesson for calculus students. Now it consists of concepts that connect with mathematical topics such as number sense, algebraic thinking, geometry, and statistical reasoning, as well as other subjects such as art and quilt design. With its content we can provide our students the basic mathematical knowledge needed for further study in their own fields. In this article, we will demonstrate the latest development of this instructional module, which makes connections between mathematical knowledge and the design of personal quilt patterns. We will exhibit a 'Quilt of Nations' which consists of the designed quilt blocks of different countries, such as USA, Japan, Taiwan, Korea and others, as well as a quilt design using the abbreviation of this seminar. Then we will talk about how the connections are built, and how to design these mathematically rich, uniquely created, beautifully designed, and personalized quilt block patterns.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2022년도 춘계학술발표대회
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• pp.497-500
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• 2022

High-quality images and videos are being generated as technologies for deep learning-based image style translation and conversion of static images into dynamic images have developed. However, it takes a lot of time and resources to manually transform images, as well as professional knowledge due to the difficulty of natural image transformation. Therefore, in this paper, we study natural style mixing through a style conversion network using GAN and natural dynamic image generation using the First Order Motion Model network (FOMM).

• 문화기술의 융합
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• 제9권3호
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• pp.183-192
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• 2023

전 세계적으로 곳곳에서 급격하게 디지털 전환이 이루어지고 있다. 디지털 기술의 발전 속도가 매우 빨라지면서 앞으로 더 많은 정보들이 디지털화될 것으로 예상된다. 따라서 개인정보, 금융정보 등의 민감 정보가 온라인에서 전송되고 저장되는 과정에서 사이버 위협이 발생할 수 있는 가능성이 높아지고 있다. 본 논문에서는 최근 인공지능의 발전과 디지털 전환이 급속도로 이루어지고 있는 중국의 초·중등학생 대상 정보보호 교재를 비교하여 분석하였다. 관련 교재를 수집 후 분석에 적절한 교재를 선별하였으며, 교재의 외적 체제와 내적 체제를 구분하여 분석하였다. 외적 체제 분석 결과, 교재 표지는 모두 적절하게 제작되었으나, 교재 내지는 교재마다 질의 차이가 크게 나타났다. 초등학생 대상 교재의 경우 레이아웃, 내용 배치의 우수성이 두드려졌다. 내적 체제 분석 결과, 중국에서 제시한 '정보사회 책임' 학습 목표를 기준으로 학습 내용을 살펴보면, 다양한 내용이 고루 포함되어 있지 않은 경우가 있었다. 본 논문을 통해 정보보호 관련 교육 및 교재 개발 연구에 시사점을 제공하기 바란다.

• 영어영문학
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• 제55권3호
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• pp.383-398
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• 2009

Based on the Greek myth of Pygmalion and the fairy tale of Cinderella, Shaw's Pygmalion demonstrates a masterful coalescence of these two narrative motifs into a coherent plot scheme. Even more significant is his keen insight into the conflicts created at the tripartite intersection of human activity concerning language/class/culture, which, as the leitmotif, revolves around lessons in language learning. This play basically deals with human transformation and by its very nature, Higgins's experimentation with transforming Eliza cannot stop at language alone. Her cultural transformation ripples over into the realms of gesture and even a unique way of living (modus vivendi) intimately associated with taste and manners, which Bourdieu terms as habitus. By acquiring a new fashion and language, Eliza is reborn as a new lady aspiring to be filled with a newly acquired habitus. While separating her from her old Cockney style, Higgins inculcates Queen's English in Eliza, in which process her changed speech styles gradually transforms and restructures her deportment and manners, finally generating new practices, perceptions and attitudes. The gist of Pygmalion is however less Eliza's ascent into the middle class than her battle for symbolic capital waged at the level of language. By problematizing his contemporary practice of habitus conventionalized and warped by class distinctions based on economic, social and cultural capitals, Shaw creates a new humanist model of man founded on spiritual and rational virtues. In conclusion, Eliza is not a frigid Galatea but a dynamic character that goes through a brilliant transformation of three stages: 1) linguistic; 2) cultural, and 3) humanist. Finally she is built into a "consort battleship" on an equal standing with her sculptor. The process of her character-building cannot be illuminated without resorting to the dynamic notion of habitus, which highlights the process of inculcation, structuring, generation and transposing. Given the overwhelming weight of the heroine's role and the dynamic process of her transformation as the major plot scheme, this play should be christened Galatea in lieu of Pygmalion.

• 유통과학연구
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• 제21권2호
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• pp.45-52
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• 2023

Purpose: The Malaysia Education Blueprint is primarily concerned with the transformation of students' minds through the curriculum offered at the school level (2013-2025). Diversity in the application of teaching and learning methods is one means of achieving the transformation of students' minds through the Secondary School Standard Curriculum. Consequently, the production of ExSheetLink's Module for Accounting Education is the primary outcome of this study, which had three objectives: the need for ExSheetLink's Module in the process of producing financial statements for Accounting Students in secondary school to the Accounting Teacher; and the design of ExSheetLink's Module that meets the entire process in the production of financial statements for Accounting Students in secondary school based on the Documents Curriculum and the Accounting Students' needs. Research design, data and methodology: This study outlines the research framework for module development in accordance with the Design and Development Research Method, which combines multiple research techniques (Mixed Method). Results: The development of ExSheetLink's Module is completed and can be used for the level of effectiveness purposes. Conclusion: The transformation of Accounting Students' minds is a success thanks to the ExSheetLink Module. Researchers also suggested that all Malaysian Secondary School accounting students test the ExSheetLink Module.

• International Journal of Computer Science & Network Security
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• 제22권5호
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• pp.127-134
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• 2022

Generally developed for medical testing, electrocardiogram (ECG) recordings seizure the cardiac electrical signals from the surface of the body. ECG study can consequently be a vital first step to support analyze, comprehend, and expect cardiac ailments accountable for 31% of deaths globally. Different tools are used to analyze ECG signals based on computational methods, and explicitly machine learning method. In all abovementioned computational simulations are prevailing tools for cataloging and clustering. This review demonstrates the different effective methods for heart disease based on computational methods for ECG analysis. The accuracy in machine learning and three-dimensional computer simulations, among medical inferences and contributions to medical developments. In the first part the classification and the methods developed to get data and cataloging between standard and abnormal cardiac activity. The second part emphases on patient analysis from entire ECG recordings due to different kind of diseases present. The last part represents the application of wearable devices and interpretation of computer simulated results. Conclusively, the discussion part plans the challenges of ECG investigation and offers a serious valuation of the approaches offered. Different approaches described in this review are a sturdy asset for medicinal encounters and their transformation to the medical world can lead to auspicious developments.

• 한국산업융합학회 논문집
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• 제25권6_3호
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• pp.1285-1291
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• 2022

In this paper, we propose a low-cost, low-power embedded environment-based deep learning lightweight model for input images to recognize laundry management codes. Laundry franchise companies mainly use barcode recognition-based systems to record laundry consignee information and laundry information for laundry collection management. Conventional laundry collection management systems using barcodes require barcode printing costs, and due to barcode damage and contamination, it is necessary to improve the cost of reprinting the barcode book in its entirety of 1 billion won annually. It is also difficult to do. Recognition performance is improved by applying the VGG model with 7 layers, which is a reduced-transformation of the VGGNet model for number recognition. As a result of the numerical recognition experiment of service parts drawings, the proposed method obtained a significantly improved result over the conventional method with an F1-Score of 0.95.

• 한국실천공학교육학회논문지
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• 제2권1호
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• pp.1-7
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• 2010

최근 유비쿼터스 환경을 교수 학습에 응용하여 학습의 효과를 높이고자 하는 이른바 u-러닝에 대한 관심이 급격이 증가하였다. u-러닝 환경에서는 학습의 장이 교실과 사이버 공간에 이어 일상생활의 현실 공간으로 확대되어 수시로 변화 하는 현실공간에서의 학습자에게 자신이 있는 위치에서 필요한 정보를 즉시 전송(push)되도록 해야 한다. 또한 u-러닝 환경은 조용한 기술을 지향하는데, 이는 학습 단말기로서 PC뿐만 아니라 다양한 무선 단말기 사용이 보편화 되어 언제 어디서나 어떤 단말기로도 자연스러운 인터페이스에서 학습이 가능함을 의미한다. 따라서 u-러닝을 효과적으로 지원하는 u-LMS의 1차적 임무는 다양한 학습 단말기에서 정보의 손실 없이 적응적인 인터페이스 기반의 학습 서비스를 제공해야 한다. 이 연구의 목적은 u-LMS를 위한 학습자의 단말 정보에 따른 인터페이스 적응화 방안을 개발환경에서 레이아웃 변환과정 중심으로 제안하는 것이다.