• Title/Summary/Keyword: content selection

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Analysis of Research Trends and Learners' Preference for Subject Area of SW Education Content (SW 교육 콘텐츠의 주제 영역에 대한 연구 동향과 학습자 선호 분석)

  • Jun, SooJin
    • The Journal of Korean Association of Computer Education
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    • v.20 no.1
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    • pp.39-47
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    • 2017
  • The purpose of this study is to analyze research trends and the learners' preference for subject area of SW education content. First, we analyzed trends in the subject areas of various SW education contents in recent research literature, textbooks, and textbooks. Based on this, we defined six subject areas as storytelling, game, media art, educational learning contents, simulation. Also, we analyzed the case of college students based on the reason of SW implementation theme selection, selection method, and preference theme. As a result, the students were mainly influenced by their interests and teachers in the reason of topic selection, and they showed higher preference in game and storytelling subject area. We hope that this research will be reflected in balanced SW education contents design according to learner level in the future.

Selection Efficiency for Protein Content and Sedimentation Value in Progenies of Hybridized Wheat (밀 잡종 후기 세대에서 단백질 함량 및 경, 연질의 선발 효과)

  • 송현숙;이홍석
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.38 no.1
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    • pp.8-14
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    • 1993
  • To investigate selection efficiency for protein content and hardness in a wheat breeding program, two crosses were made between soft wheat (SW) ‘Chokwang’ and hard wheat (HW) ‘Lancota’, and between HW ‘Suwon 210’ and SW ‘Atlas 66’. F2 progeny lines from the crosses were separated into 4 groups as HW + high protein (HP), HW + low protein (LP), SW + HP and SW + LP by measuring protein content and sedimentation value in F4 generation. The subsequent populations were tested for protein content, sedimentation value, mixogram pattern and bread quality. HP group selected from F4 again had a higher protein content in F5 generation than LP group, but there was no significant difference between two groups in F6 generation. In sedimentation value, the significant difference was recognizable only between the groups of HW + HP and. SW + LP. Plant based investigation in F6 revealed that the distribution pattern for protein content and sedimentation value shifted from the low to high by the four groups with the order of SW + LP, HW + LP, SW + HP, HW + HP. Such a trend was most noticeable in the progenies of the cross between ‘Suwon 210’ and ‘Atlas 66’. Mixogram pattern that shows flour characteristics differed greatly among the groups, indicating a high selection efficiency for the traits. Bread volume in F6 of HW + HP was found to be higher than that of SW + LP, only from the cross between ‘Suwon 210’ and ‘Atlas 66’.

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Architecture and Server Selection for DHT-based Distributed CDN (해시 테이블 기반 분산형 CDN 구조 및 서버 선택 방안)

  • Jung, Jong-Hae;Oh, Gun-Young;Lee, Nam-Kyung;Yoon, Chang-Woo;Lee, Hyun-Woo;Ryu, Won;Lee, Sung-Chang
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.11 no.5
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    • pp.217-228
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    • 2011
  • In centralize CDN systems, the content server selection is performed by service node for every user request, and the selected node is notified to the user. In this paper, we present distributed CDN architecture and algorithm in which the request from a user is delivered to the content source by a P2P algorithm utilizing DHT(distributed hash table) through the overlay network and the user selects one of the source nodes based on real-time user-centric criteria. For this purpose, we propose a modified Pastry algorithm for contents registration, search and selection, in addition to the distributed architecture. The proposed architecture has the advantages of load balancing, traffic balancing, scalability, fault-tolerance due to the self-configuration, self-healing attributes of distributed architecture. Various simulation shows the feasibility of the proposed architecture and algorithm, and the performance is compared and discussed for the variations of the proposed scheme.

Selection of Azetidine-2-carboxylic Acid Resistant Cell Lines by in vitro Mutagenesis in Rice (Oryza sativa L.)

  • Hyun, Do-Yoon;Lee, In-Sok;Kim, Dong-Sub;Lee, Sang-Jae;Seo, Yong-Weon;Lee, Young-Il
    • Journal of Plant Biotechnology
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    • v.5 no.1
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    • pp.43-49
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    • 2003
  • Resistant cell lines to azetidine-2-carboxylic acid (AZCA) were selected through rice embryo culture after mutagenic treatment of callus irradiated with 30,50,70,90 and 120 Gy. The optimum AZCA concentration for the selection of resistant cell lines was 3 or 4 mM AZCA considering $LD_{50}$ and the fresh weight of callus. Survival rate of the AZCA resistant callus showed remarkable increase in the callus irradiated with 50 and 70 Gy. Regeneration rate of the AZCA resistant callus was much lower on the whole. Ninety and 120 Gy increased the regeneration rate for calli selected from 3 and 4 mM AZCA, respectively. Based on fresh weight, survival rate and regeneration for selection of the AZCA resistant cell line, 50-90 Gy was considered as the optimum range of gamma irradiation. Irradiated calli selected from AZCA were more tolerant to NaCl than those from non-irradiated calli. It suggests that elevated resistance to osmotic stress resulted from mutagenic treatment. The level of free proline content in the AZCA resistant cell line was increased up to 3.5 times compared with that in the control. Proline content in the regenerant derived from the AZCA resistant cell line also increased to 1.7 times that from the control plants regenerated from callus grown in AZCA free medium. Selection of proline overproducing cell lines by in vitro mutagenesis was successful and seems to be useful for improvement of stress tolerance in this crop.

A Study on the Selection Factors of Contents Service for the Popularization of AI Speaker based on AHP (AI Speaker 대중화를 위한 콘텐츠 서비스 선택 요인에 관한 연구 - AHP(계층화 분석)를 중심으로)

  • Lee, Hweejae;Kim, Sunmoo;Byun, Hyung Gyoun
    • The Journal of the Korea Contents Association
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    • v.20 no.11
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    • pp.38-48
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    • 2020
  • The domestic AI speaker market is growing into a full-fledged early audience market beyond the innovative consumer market with 3 million domestic supply units at the end of 2018, but the reality is that for various reasons, we are not satisfied with the use. There are many previous papers on AI Speaker, but the majority of research so far tends to be biased towards the acceptance of the device's own performance. Many changes are being made, such as OTT providers trying to secure the market through collaboration with AI speaker providers. This study tried to identify the priorities for content services, which can be another major selection factor for AI speakers, excluding the factors of unsatisfactory technology. First, this study identified the priorities among AI speaker selection factors using AHP (Analytic Hierarchy Process), based on the AI speaker selection factors derived through literature research. The most important hierarchical factor are Concierge Service, Education Service, and Entertainment Service order in AI speaker selection, and the primary content among the individual factors was the one that ranked weather/temperature/fine dust (11.6%) and child caring content was in the second place (10.8%), and then music service was in the third place (9.8%). The three top priorities were derived from the items in the top tier 1, 2 and 3 priorities. Of the total 15 individual services, 6 sub-layers of Concierge Service (weather/temperature/fine dust, news, voice schedule notification) and Education Service (foreign language, toddler, reading books) were in the top 8, and two of the Entertainment Service Music service and movie service ranked third and sixth.

Intra Block Copy Analysis to Improve Coding Efficiency for HEVC Screen Content Coding (HEVC 스크린 콘텐츠 코딩 성능 향상을 위한 화면 내 블록 카피 기술 분석)

  • Ma, Jonghyun;Ahn, Yong-Jo;Sim, Donggyu
    • Journal of Broadcast Engineering
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    • v.20 no.1
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    • pp.57-67
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    • 2015
  • This paper describes and analyzes IBC (intra block copy) in HEVC (high efficiency video coding) SCC (screen content coding) to improve the coding efficiency of IBC. HEVC SCC reference software SCM 2 is employed to analyze the selection ratio of IBC which is newly adopted in HEVC SCC, and the tools for IBC such as the block vector prediction and block vector coding method are evaluated. Experimental results show the average IBC selection ratio is 31.08% and 0.33% in I-Slice and B-Slice, respectively. Based on this results, the coding efficiency of IBC could be improved by utilizing IBC selectively. In addition, analysis tests of block vector prediction and the block vector coding method show the current methods are not efficient to screen content videos, and the analysis results are presented to improve these methods.

Mobile Voice Web Browser for the Low Vision (저시력자를 위한 모바일 보이스 웹 브라우저 개발)

  • Park, Joo Hyun;Lee, Han Na;Shin, Ji Eun;Dong, Suh-Yeon;Lim, Soon-Bum
    • Journal of Korea Multimedia Society
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    • v.23 no.11
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    • pp.1418-1427
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    • 2020
  • The web has become indispensable in all of our daily lives. We communicate, study and get information with others through the web. This behavior also continues in the smart phone environment. The biggest problem is that the small display screen of a smart phone degrades the accuracy in selecting or manipulating content for people with low vision. To compensate for this, voice guidance services that combine touch and voice, such as VoiceOver and Talkback, are currently provided to smart phone devices. However, restrictions arise in GUI, TTS control problems, and content expansion and selection. In addition, unnecessary content is also output by voice, which causes fatigue for low vision people to use. In this study, we propose a mobile web browser interface that selects and enlarges a desired area from web browsers and contents, or outputs it as a voice so that people with low vision can easily use the mobile web browser. In this paper, we propose a context selective focusing function that enables selection for each element of web content. In addition, we intend to develop a mobile voice web browser that can enlarge the selected content or output it by voice.

Improved BVP Candidate Selection Algorithm for HEVC Screen Content Coding (HEVC기반 스크린 콘텐츠 코딩을 위한 개선된 BVP 후보 선정 방법)

  • Kim, Yu-Seon;Lee, Si-Woong
    • The Journal of the Korea Contents Association
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    • v.17 no.5
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    • pp.1-7
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    • 2017
  • Joint Collaborative Team on Video Coding (JCT-VC) of ISO/IEC MPEG and ITU-T developed the HEVC Screen Content Coding (HEVC SCC) standard as the HEVC extension for the screen content video coding. The Intra Block Copy (IBC) is the most effective tool adopted in HEVC SCC and predicts current block from already reconstructed neighboring blocks in the same picture. To reduce the amount of data in BV (Block Vector) to be transmitted, a BV predictor (BVP) is used to generate the BV differences in the IBC BV coding. In this paper, we analyze the current BV prediction process using HEVC reference software SCM-2.0 and SCM-4.0. Based on the analysis results, we propose an improved BVP candidate selection algorithm by adding a search process for adjacent BVs in addition to the existing spatial BVP candidates. Experimental results show that the BD-rate reduction of our proposed improvements ranges from 0.2% to 1%.

Development of a Constituent Prediction Model of Domestic Rice Using Near Infrared Reflectance Analyzer(II) - Prediction of Brown and Milled Rice Protein Content and Brown Rice Yield from undried Paddy - (근적외선 분석계를 이용한 국내산 쌀의 성분 예측모델 개발(II) -생벼를 이용한 현미.백미의 단백질 함량과 현미수율 예측-)

  • 한충수;연광석;고과이랑
    • Journal of Biosystems Engineering
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    • v.23 no.3
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    • pp.253-258
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    • 1998
  • The part I was for developing regression models to predict the moisture content, protein content and viscosity of brown and milled rice using Near Infrared(NIR) Reflectance analyzer. The purpose of this study(part II) is to measure fundamental data required for the prediction of rice quality, and to develop regression models to predict the protein content of brown and milled rice, brown rice yield from undried paddy powder by using Near Infrared(NIR) Reflectance analyzer. The results of this study were summarized as follows : The predicted values of protein contents obtained from the undried paddy powder were well correlated to the measured values from brown and milled rice. The predicted yields of brown rice from undried paddy powder were not well correlated to the lab measured values from dried paddy. Continuous study in wavelength selection and of constituent relationship is necessary for practical application.

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Development of a Constituent Prediction Model of Domestic Rice Using Near Infrared Reflection Analyzer (II)-Prediction of Brown and Milled Rice Protein Content and Brown Rice Yield from Undried Paddy (근적외선 분석계를 이용한 국내산 쌀의 성분예측모델 개발(II)-생벼를 이용한 현미.백미의 단백질 함량과 현미수율 예측)

  • ;;J.R. Warashina
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 1998.06b
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    • pp.171-177
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    • 1998
  • The part Ⅰ was for developing regression models to predict the moisture content, protein content and viscosity of brown and milled rice using Near Unfrared (NIR) Reflectance analyzer. The purpose of this study(part Ⅱ) is to measure fundamental data required for the prediction of rice quality , and to develop regression models to predict the protein content of brown and milled rice, brown rice yield from undreid paddy powder by using Near Infrared (NIR) Reflectance analyzer. The results of this study were summarized as follows . The predicted values of protein contents obtained from the undried paddy powder were will correlated to the measured values from brown and milled rice. The predicted yields of brown rice from undried paddy powder were not well correlated to be lab measured values from dried paddy. Continuous study in wavelength selection and of constituent relationship is necessary for practical application.

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