• Title/Summary/Keyword: Character-net

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On-line Handwritten Character Recognition with Hidden Markov Models (통계적 방법에 의한 온라인 한글 필기 인식)

  • Sin, Bong-Kee;Kim, Jin-Hyung
    • Annual Conference on Human and Language Technology
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    • 1992.10a
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    • pp.533-542
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    • 1992
  • 손으로 쓴 글씨는 인쇄체와 달리 많은 변형이 있다는 점이 한글 필기 인식에서 가장 큰 장애물로 통한다. 본 논문에서는 이점을 해결하면서 필기에 대한 제한을 대폭 줄인 온라인 한글 인식 방법을 제시하고자 한다. 봉넷(BongNet)은 온라인 한글 필기를 인식하기 위한 네트워크 모델이다. 글씨 인식에 들어가는 여러가지 정보를 네트워크라는 틀 안에 표현한 것 인데, 기본적으로 네트워크 구조 자체가 표현하는 정적 글자 구조 정보와, 글꼴에 따라 달라지는 것으로써 노드간 확률적 이동을 나타내는 동적 정보를 포함한다. 본 모델에 따르면 한글 인식은 네트워크 안에서 최적 경로를 따라 초, 중, 종성 자소열을 찾는 문제로 변환된다. 동적 프로그래밍 기법을 이용하여 그 경로를 찾는 인식 알고리즘은 입력 데이타의 양에 정비례하는 효율성을 갖는다.

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Design of Image Generation System for DCGAN-Based Kids' Book Text

  • Cho, Jaehyeon;Moon, Nammee
    • Journal of Information Processing Systems
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    • v.16 no.6
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    • pp.1437-1446
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    • 2020
  • For the last few years, smart devices have begun to occupy an essential place in the life of children, by allowing them to access a variety of language activities and books. Various studies are being conducted on using smart devices for education. Our study extracts images and texts from kids' book with smart devices and matches the extracted images and texts to create new images that are not represented in these books. The proposed system will enable the use of smart devices as educational media for children. A deep convolutional generative adversarial network (DCGAN) is used for generating a new image. Three steps are involved in training DCGAN. Firstly, images with 11 titles and 1,164 images on ImageNet are learned. Secondly, Tesseract, an optical character recognition engine, is used to extract images and text from kids' book and classify the text using a morpheme analyzer. Thirdly, the classified word class is matched with the latent vector of the image. The learned DCGAN creates an image associated with the text.

Establishment of the Korean Standard Vocal Sound into Character Conversion Rule (한국어 음가를 한글 표기로 변환하는 표준규칙 제정)

  • 이계영;임재걸
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.41 no.2
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    • pp.51-64
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    • 2004
  • The purpose of this paper is to establish the Standard Korean Vocal Sound into Character Conversion Rule (Standard VSCC Rule) by reversely applying the Korean Standard Pronunciation Rule that regulates the way of reading written Hangeul sentences. The Standard VSCC Rule performs a crucially important role in Korean speech recognition. The general method of speech recognition is to find the most similar pattern among the standard voice patterns to the input voice pattern. Each of the standard voice patterns is an average of several sample voice patterns. If the unit of the standard voice pattern is a word, then the number of entries of the standard voice pattern will be greater than a few millions (taking inflection and postpositional particles into account). This many entries require a huge database and an impractically too many comparisons in the process of finding the most similar pattern. Therefore, the unit of the standard voice pattern should be a syllable. In this case, we have to resolve the problem of the difference between the Korean vocal sounds and the writing characters. The process of converting a sequence of Korean vocal sounds into a sequence of characters requires our Standard VSCC Rule. Making use of our Standard VSCC Rule, we have implemented a Korean vocal sounds into Hangeul character conversion system. The Korean Standard Pronunciation Rule consists of 30 items. In order to show soundness and completeness of our Standard VSCC Rule, we have tested the conversion system with various data sets reflecting all the 30 items. The test results will be presented in this paper.

Studies on the Productive Structure and the Productivity of × Populus albaglandulosa Plantation (은수원사시나무의 조림지(造林地)의 생산구조(生産構造)와 생산성(生産性))

  • Kim, Joon Ho;Sun, Soon Hwa;Lee, Suk Koo;Kim, Chung Suk
    • Journal of Korean Society of Forest Science
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    • v.35 no.1
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    • pp.9-14
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    • 1977
  • The productive structure and the productivity of ${\times}$Populus albaglandulosa plantations, where are middle parts of the Korean peninsula, were studied by means of stratifying clip technique and of allometry. The densities of stands in the sample areas were 693 trees/ha in 6 year-old plantation and 527 or 625 trees/ha in 9 year-old one. The photosynthetic part of the productive structure was not shown normal conical form but layering. So this was efficient to transmit solar radiation into the stand floor. The standing crop of the terrestrial parts of 6 year-old plantation was 18.11 ton/ha and that of 9 year-old one 38.8 to 47.3 ton/ha. The wood volume to trunk to 6 year-old was $31.3m^3/ha$ and that of 9 year-old was 68.8 to $83.9m^3/ha$. The annual net production of 6 year-old plantation was 4.8 ton/ha/year and that of 9 year-old one was 10.0 to 11.7 ton/ha/year and its wood volume of trunks was 17.9 to $21.1m^3/ha/year$. In the 9 year-old plantation the standing crop or the annual net production was different between two sample areas. This seemed that the cause was not due to chemical character but to physical character of soil.

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A Study on Printed Hangeul Recognition with Dynamic Jaso Segmentation and Neural Network (동적자소분할과 신경망을 이용한 인쇄체 한글 문자인식기에 관한 연구)

  • 이판호;장희돈;남궁재찬
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.19 no.11
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    • pp.2133-2146
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    • 1994
  • In this paper, we present a method for dynamic Jaso segmentation and Hangeul recognition using neural network. It uses the feature vector which is extracted from the mesh depending on the segmentation result. At first, each character is converted to 256 dimension feature vector by four direction contributivity and $8\times8$ mesh. And then, the character is classified into 6 class by neural network and is segmented into Jaso using the classification result the statistic vowel location information and the structural information. After Jaso segmentation, Hanguel recognition using neural network is performed. We experiment on four font of which three fonts are used for training the neural net and the rest is used of testing. Each font has the 2350 characters which are comprised in KS C 5601. The overall recognition rates for the training data and the testing data are 97,4% and 94&% respectively. This result shows the effectivness of proposed method.

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Remodeling of tuna purse seiner for improving fishing performance (조업성능 향상을 위한 선망선 개선)

  • Hong, Jin-Keun;Kang, Il-Kwon;Jeong, Seong-Jae
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.47 no.4
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    • pp.435-442
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    • 2011
  • In an attempt to respond to the increase in international oil prices and reduce operating expenses, ship remodeling was carried out on a 740ton class tuna purse seiner. To strengthen the competitiveness of the fisheries industry by improving vessel performance, a bulbous bow was newly equipped. The slipway and rudder area were also lengthened and enlarged with the propeller and main engine remained unchanged. To reduce the hull resistance, a circle type bulbous bow was attached on the hull behind bow thruster and thus the cost for exchanging electrical equipment for bow thruster was reduced. The new rudder area was expanded 15% more than the old one within the extent that the existing mechanical control part and rudder stock were not changed. To prevent fishing net damage and stabilize wake field, slipway was lengthened to the optimal position. All of the new design of remodeling parts went through the model tests in towing tank and CWC. Besides resistance test, all of necessary model test results were delivered for hydrodynamic character for the modified ship. The maneuvering simulation to verify that the remodeled ship satisfies the IMO rules was performed in both zigzag and turning tests. The estimated resistance with new bulbous bow and lengthened stern was reduced by 4.8% in the 2-dimensional analysis and 17.4% in the 3-dimensional analysis in comparison of conventional ship. The average reduction of resistance was estimated about 10%. Maneuvering character of modified hull form was found to satisfy all regulations under IMO. The remodeling of tuna purse seiner can not only improve fishing performance but also contribute to reduction of operating cost by saving energy for the fisheries industry.

MO Interpretation for Anticancer Activity of Pt-complexes (백금착물 (II) 의 항암성에 관한 분자궤도론적 해석 (제1보))

  • Byung-Kak Park;Yeo Hwhan-Jin
    • Journal of the Korean Chemical Society
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    • v.29 no.4
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    • pp.348-355
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    • 1985
  • Extended Huckel Calculation of cis-and trans-dichloro diammine platinum(II), dichloroethylene diamine platinum(II) and their N-mono, di, tri and tetra-methylated or ethylated ones were carried out to investigate their anticancer activity. It was found that the net charge of two chlorine atoms in cis-isomers are greater than those in trans-ones and Pt-Cl bond energies of the former are less than that of the latter, indicating that Pt-Cl bond in cis-isomers has greater ionic character than that in trans-ones and Cl atoms in the former are easier to dissociated as Cl- than those in the latter. Also, the values of $b_{2g}-b_{1g}$ energy difference, ${\Delta}_1$ were found to be greater in cis-isomers than in trans-one without exceptions. For the substitution of methyl for H atom in ammine and ethylenediamine Pt-Cl bond strength shows the tendency to increase with increasing in number of methyl group. Accordingly, We believe that two Cl atoms in $PtLCl_2$-complexes (L: NH$_3$, en) are dissociated in the first step of the action of anticancer.

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Development of Intelligent Multi-Agent in the Game Environment (게임 환경에서의 지능형 다중 에이전트 개발)

  • Kim, DongMin;Choi, JinWoo;Woo, ChongWoo
    • Journal of Internet Computing and Services
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    • v.16 no.6
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    • pp.69-78
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    • 2015
  • Recently, research on the multi-agent system is developed actively in the various fields, especially on the control of complex system and optimization. In this study, we develop a multi-agent system for NPC simulation in game environment. The purpose of the development is to support quick and precise decision by inferencing the situation of the dynamic discrete domain, and to support an optimization process of the agent system. Our approach employed Petri-net as a basic agent model to simplify structure of the system, and used fuzzy inference engine to support decision making in various situation. Our experimentation describes situation of the virtual battlefield between the NPCs, which are divided two groups, such as fuzzy rule based agent and automata based agent. We calculate the percentage of winning and survival rate from the several simulations, and the result describes that the fuzzy rule based agent showed better performance than the automata based agent.

An Analysis of Menswear Brands in the Current Domestic Fashion Market

  • Jang, Eunyoung
    • Journal of Fashion Business
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    • v.19 no.6
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    • pp.101-111
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    • 2015
  • This study aims to analyze the current state of menswear in the domestic fashion market and the trend of new menswear brands. In addition to this, a comparative analysis of domestic and foreign menswear brands will be done to provide baseline data for the domestic brands in regards to strategic direction in the coming years. The study used reports published by Samsungdesign.net, which provided trends of 110 new brands from 2005 to 2014, in order to analyze the trends of new menswear brands launched during that period. Menswear brand information in the Korean Fashion Brand Annual, of which there were 168, were utilized to research the current state of the brands in the domestic market. As a results, menswear is expected to become more sensitive to trends and designs thanks to steady launchings of menswear brands within character casual zoning for the past 10 years and active brand launchings within contemporary zoning in the last 5 years. Also, as more brands are targeting men in their 20's as their main customers, it suggests that menswear brands are striving for a younger mindset. In terms of pricing, prestige and budget line launchings they seem to be dwindling, while bridge brands are increasing. This shows that customers are demanding luxury items at a reasonable price. Since there are higher ratio of foreign brands in dress shirts and contemporary zoning, domestic brands need to develop and produce more high quality clothes within these zonings.

Prediction of Promiscuous Epitopes in the E6 Protein of Three High Risk Human Papilloma Viruses: A Computational Approach

  • Nirmala, Subramanian;Sudandiradoss, Chinnappan
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.7
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    • pp.4167-4175
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    • 2013
  • A najor current challenge and constraint in cervical cancer research is the development of vaccines against human papilloma virus (HPV) epitopes. Although many studies are done on epitope identification on HPVs, no computational work has been carried out for high risk forms which are considered to cause cervical cancer. Of all the high risk HPVs, HPV 16, HPV 18 and HPV 45 are responsible for 94% of cervical cancers in women worldwide. In this work, we computationally predicted the promiscuous epitopes among the E6 proteins of high risk HPVs. We identified the conserved residues, HLA class I, HLA class II and B-cell epitopes along with their corresponding secondary structure conformations. We used extremely precise bioinformatics tools like ClustalW2, MAPPP, NetMHC, Epi,Jen, EpiTop 1.0, ABCpred, BCpred and PSIPred for achieving this task. Our study identified specific regions 'FAFR(K)DL' followed by 'KLPD(Q)LCTEL' fragments which proved to be promiscuous epitopes present in both human leukocyte antigen (HLA) class I, class II molecules and B cells as well. These fragments also follow every suitable character to be considered as promiscuous epitopes with supporting evidences of previously reported experimental results. Thus, we conclude that these regions should be considered as the important for design of specific therapeutic vaccines for cervical cancer.