• Title/Summary/Keyword: 개인적 이미지

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Deep Learning OCR based document processing platform and its application in financial domain (금융 특화 딥러닝 광학문자인식 기반 문서 처리 플랫폼 구축 및 금융권 내 활용)

  • Dongyoung Kim;Doohyung Kim;Myungsung Kwak;Hyunsoo Son;Dongwon Sohn;Mingi Lim;Yeji Shin;Hyeonjung Lee;Chandong Park;Mihyang Kim;Dongwon Choi
    • Journal of Intelligence and Information Systems
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    • v.29 no.1
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    • pp.143-174
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    • 2023
  • With the development of deep learning technologies, Artificial Intelligence powered Optical Character Recognition (AI-OCR) has evolved to read multiple languages from various forms of images accurately. For the financial industry, where a large number of diverse documents are processed through manpower, the potential for using AI-OCR is great. In this study, we present a configuration and a design of an AI-OCR modality for use in the financial industry and discuss the platform construction with application cases. Since the use of financial domain data is prohibited under the Personal Information Protection Act, we developed a deep learning-based data generation approach and used it to train the AI-OCR models. The AI-OCR models are trained for image preprocessing, text recognition, and language processing and are configured as a microservice architected platform to process a broad variety of documents. We have demonstrated the AI-OCR platform by applying it to financial domain tasks of document sorting, document verification, and typing assistance The demonstrations confirm the increasing work efficiency and conveniences.

A Study on 21st Century Fashion Market in Korea (21세기 한국패션시장에 대한 연구)

  • Kim, Hye-Young
    • The Journal of Natural Sciences
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    • v.10 no.1
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    • pp.209-216
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    • 1998
  • The results of the study of diving the 21st century's Korea fashion market into consumer market, fashion market, and a new marketing strategy are as follows. The 21st consumer market is First, a fashion democracy phenomenon. As many people try to leave unconditional fashion following, consumer show a phenomenon to choose and create their own fashion by subjective judgements. Second, a phenomenon of total fashion pursuit. Consumer in the future are likely to put their goals not in differentiating small item products, but considering various fashion elements based on their individuality and sense of value. Third, world quality-oriented. With the improvement of life level, it accomplishes to emphasize consumers' fashion mind on the world wide popular use of materials, quality, design and brand image. Fourth, with the entrance of neo-rationalism, consumers show increasing trends to emphasize wisdom, solidity in goods strategy pursuing high quality fashion and to demand resonable prices. Fifth, concept-oriented. Consumers are changing into pursuing concept appropriate to individual life scene. Prospecting the composition of the 21st century's fashion market, First, sportive casual zone will draw attention more than any other zone. This is because interest in sports will grow according to the increase of leisure time and the expasion of time and space in the 21st century, and also ecology will become the important issue of sports sense because of human beings's natural habit toward nature. Second, the down aging phenomenon will accelerate its speed as a big trend. Third, a retro phenomenon, a concept contrary to digital and high-tech, will become another big trend for its remake, antique, and classic concept in fashion market with ecology trend. New marketing strategy to cope with changing fashion market is as follows. First, with the trend of borderless concept, borders between apparels are becoming vague, for example, they offer custom-made products to consumers. Second, as more enterprises take the way of gorilla and guerrilla where guerrillas who aim at niche market show up will develop. Basically, they think highly of individual creative study, and pursue the scene adherence with high sensitiveness. However this polarization becomes mutually-supplementing relationship showing gorilla's guerilla movement, and guerilla's gorilla high-tech. Third with the development of value retailing, enterprises pursuing mass merchandising of groups called category killers are expanded and amplified to new product fields, and expand business' share. Fourth, using outsourcing, the trend to use exterior function leaving each enterprise's strength by inspecting its own work is gradually strong. Fifth, with the expansion of none store sale, the entrance of the internet and the CD-ROM sales added to communication sales such as catalogues are specified. An eminent American think tank expect that 5-5% of the total sale of clothes and home goods in 2010 will be done by none store sale. Accordingly, to overcome the problems, First international, global level marketing, Second, the improvement of technology, Third, knowledge-creating marketing are needed.

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A Study on the 'Re-appearance of Picturing ' in the On-Line Community (온라인 커뮤니티에서의 픽처링 재현에 관한 연구)

  • Son, Keum-Sun;Yoon, Jun-Sung
    • 한국HCI학회:학술대회논문집
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    • 2007.02b
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    • pp.737-742
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    • 2007
  • The concept of 'Picturing' is beyond the 'Illusion' of traditional art in the Digital Media era. It is a 'Suffering' of the 'Re-appearance' that is masquerade the 'Actual' as a 'Digital Apparition.' This study aims to concern the point of view on the above subject; the 'Picturing' through the analysis of communication problems in the digital era. To begin with, need to define the concept of 'Picturing' and how it is expected to have a role through the accessibility of medium use, intervention by body and images. Also, I suggest a new approach to 'Picturing' as a new mutual communication method. Body, Digital media, and Image. These three principles of 'Picturing' create huge benefits to our world/nature whether we want it or not. It seems to become more and more of powerful self-replicating organism. We have to be aware what sort of images are surrounding us and how transmitting it to where in/on our body via newest sophisticated media we use. 'Picturing' is an invasion of ordinary, no longer exists pleasure for body, no longer speaks intension of its next destination. It strongly self-grows and also controls us in the name of Digital media era. However, 'Picturing' is a mode of re-imaging activity and also suggestion of re-appearance practice.

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A Research on the Scenography of the Musical 『All Shook Up』 - Focusing on the Design Construction Process and Performance Application Cases - (뮤지컬 『All Shook Up』의 연출적 시노그래피 연구 - 디자인 구축 과정과 공연 적용 사례를 중심으로 -)

  • Park, Geun-Hyung;Cho, Joon-Hui
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.8
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    • pp.175-187
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    • 2020
  • The purpose of this study is to discuss the elements and meanings of the performative scenography which has been revealed through the new directorial interpretation and deconstruction process of the musical 『All Shook Up』. The performative scenography characteristics after postmodernism aim to create individual active perceptions and various social meanings through audience's voluntary and particular emergence. To this end, the theoretical foundation of scenography was examined by periods in advance. Based on this, I attempted to establish performative scenography for synthesized scenic and media design through the reconstruction process for the 『All Shook Up Travelers』. As a result, I set up visual narrative based world of 『All Shook Up Travelers』 which was produced by text-based intense images for a direct medium in order to expand actors' inner narrative and established unique performative scenography of its own: 1. enhancing the adapted one's narratives for the actors' and audience's co-existence and detachment, 2. delivering its own independent meanings which have double meanings, 3. encouraging audience's critical and active perception experiences through collage and montage of media.

Development a Measurement Scale for Analysis on Factors Influencing College Choice of College Freshman's (전문대학 신입생들의 대학선택 영향 요인 분석을 위한 측정도구 개발)

  • Kim, Myung-Eun;Jang, Won-Seok
    • The Journal of the Korea Contents Association
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    • v.16 no.7
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    • pp.50-62
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    • 2016
  • The aim of this study was to develop scale of test taker to affect on process of selection of college. The study procedures were performed as follow : establish of study model, item generation, verification of content validity, 1st and 2nd pilot test and verification of construct validity and reliability. In order to verification of validity and reliability, 230 freshman were surveyed and the data were analyzed by mean, standard deviation, skewness. kurtosis, Pearson correlation, Verimax factor analysis and Cronbach's ${\alpha}$. As result of factor analysis, the 15 factors(61 items) that explain 68.37% of the total variance were extracted and each factors were classified by attribution as follow : Information collection-mass media(4items), college activity (3items), support and environment(4items), education(5items), Influential person on decision making(3items), education quality(4items), education service(5items), reputation(3items), accessibility(2items), personal circumstances(2items), college's mass media(5items), promotion (4items), on-line(4items), person's PR (3items), College image(10items). Cronbach's ${\alpha}$ of total items was 0.916 and Cronbach's ${\alpha}$ of each factors were showed range between 0.694~0.878. Measurement scale of this study may be utilized to collect basic data be required to establish policy strategy of local college be faced with difficulty of admission recruitment.

A Research on Network Intrusion Detection based on Discrete Preprocessing Method and Convolution Neural Network (이산화 전처리 방식 및 컨볼루션 신경망을 활용한 네트워크 침입 탐지에 대한 연구)

  • Yoo, JiHoon;Min, Byeongjun;Kim, Sangsoo;Shin, Dongil;Shin, Dongkyoo
    • Journal of Internet Computing and Services
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    • v.22 no.2
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    • pp.29-39
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    • 2021
  • As damages to individuals, private sectors, and businesses increase due to newly occurring cyber attacks, the underlying network security problem has emerged as a major problem in computer systems. Therefore, NIDS using machine learning and deep learning is being studied to improve the limitations that occur in the existing Network Intrusion Detection System. In this study, a deep learning-based NIDS model study is conducted using the Convolution Neural Network (CNN) algorithm. For the image classification-based CNN algorithm learning, a discrete algorithm for continuity variables was added in the preprocessing stage used previously, and the predicted variables were expressed in a linear relationship and converted into easy-to-interpret data. Finally, the network packet processed through the above process is mapped to a square matrix structure and converted into a pixel image. For the performance evaluation of the proposed model, NSL-KDD, a representative network packet data, was used, and accuracy, precision, recall, and f1-score were used as performance indicators. As a result of the experiment, the proposed model showed the highest performance with an accuracy of 85%, and the harmonic mean (F1-Score) of the R2L class with a small number of training samples was 71%, showing very good performance compared to other models.

A Study for Electronic Trading Business System Using Big Data (빅데이터를 활용한 전자무역시스템에 대한 연구)

  • Lee, Cheol-Woong;Cho, Sung-Woo;Cho, Sae-Hong;Hwang, Dae-Hoon
    • Journal of Digital Contents Society
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    • v.14 no.4
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    • pp.573-580
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    • 2013
  • With the growth of the smart-devices and information & communication technology, information society has developed and information can be produced, spread and consumed at much faster pace easily. Hence, individuals can utilize wireless communication and smart-devices to create, share and consume information at anytime and anywhere. The growth of technology has allowed the large-scale transfer and sharing of image, sound and video data; it changed the users' data consumption pattern that was mainly consisted of the text. Therefore, the amount of data that an individual consumes increased significantly. The importance of finding and analyzing practical and necessary data among huge amount of data has arisen. In this study, the current status of Big Data is researched and analyzed and the method to utilize Big Data in the electronic trading field is suggested.

A Development of The Road Surface Decision Algorithm Using SVM(Support Vector Machine) Clustering Methods (SVM(Support Vector Machine) 기법을 활용한 노면상태 판별 알고리즘 개발)

  • Kim, Jong Hoon;Won, Jae Moo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.12 no.5
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    • pp.1-12
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    • 2013
  • Road's accidents caused by Ice, snow, Wet of roads surface conditions and weather conditions situations that are constantly occurring. That is, driver's negligence and safe driving ability of individuals due to lack of awareness, and Road management main agent(the government and the public, etc.) due to road conditions, if there is insufficient information. So Related research needs is a trend that is required. In this study, gather Camera(Stereo camera)'s image data, and analysis polarization coefficients and wavelet transform. And unlike traditional single-dimensional classification algorithms as multi-dimensional analysis by using SVM classification techniques, develop an algorithm to determine road conditions. Four on the road conditions (dry, wet, snow, ice) recognition success rate for the detection and analysis of experiments.

Web-based 3D Face Modeling System for Hairline Modification Surgery (헤어라인 교정 시술을 위한 웹기반 얼굴 3D 모델링)

  • Lee, Sang-Wook;Jang, Yoon-Hee;Jeong, Eun-Young
    • The Journal of the Korea Contents Association
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    • v.11 no.11
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    • pp.91-101
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    • 2011
  • This research aims to suggest web-based 3D face modeling system for hairline modification surgery. As public interests in beauty regarding face escalate with era of wide persoanl mobile smart iCT devices, need for medical information system is urgent and increasing demand. This research attempted to build 3D facing modeling library deploying conventional technology and proprietary software available. Implications from the our experiment found that problems and requirement for developing new web based standard. We suggest new system from our experiment and literature review regarding relevant technologies. Main features of our suggested systems is based on studies regarding hair loss treatment such as medical science, beauty studies and information technology. This system processes input images of 2D frontal and profile pictures of face into 3D face modeling with mesh-data. The mesh data is compatible with web standard technology including SVG and Canvas Tag supported natively by HTML5.

Public Perceptions of Public Social Workers in Comments of the Internet Media Discussion Rooms after Welfare Embezzlement Cases in 2008 (인터넷 토론방 댓글에 나타난 사회복지전담공무원에 대한 대중의 인식 -2008년에 발생한 복지지원금 횡령사건 이후를 중심으로-)

  • Park, Hyang-Kyung;Chung, Ick-Joong
    • Korean Journal of Social Welfare
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    • v.62 no.1
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    • pp.391-415
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    • 2010
  • Recently, there were some welfare embezzlement cases of public social workers. The purpose of this study is to explore public perceptions of public social workers by analysing the comments named "datgeul" in the internet media discussion rooms("toronbang") about welfare embezzlement cases of public social workers. The results show that the main discourse about public social workers to perform a dual role as the public servants and social workers on the front line of public social welfare is that they are the victims of both a public official system and welfare administration system. In addition, social workers in public sphere are still recognized as service personnels with sacrifice and commitment rather than as professionals. Finally, the implications of this study were discussed to improve public perceptions of social welfare professionals.

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