• Title/Summary/Keyword: paper recommendation

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Qualitative Research on Behavioral Characteristic of KSA Students That Appear to Observation Recording of Parents and Qualitative Admission Data by CAQDAS (CAQDAS에 의한 부모의 관찰 기록 및 질적 선발 자료에 나타난 한국과학영재학교 학생들의 행동 특성에 관한 질적 연구)

  • Lee, Jeong-Cheol;Kang, Soon-Min;Kim, Dong-Yeol;Huh, Hong-Wook
    • Journal of Gifted/Talented Education
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    • v.20 no.2
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    • pp.427-459
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    • 2010
  • The personal introduction of 2009 academic year Korea Science Academy (KSA) freshman, 143 persons, recommendation that is filled with giftedness cases and observation recording through observing the students by guidance teacher and professor, and Observation recording paper about students that is made by parents, were analyzed in order to investigate behavior characteristics of the Scientifically Gifted by Computer Assisted Qualitative Data Analysis System (CAQDAS). We could divide behavior characteristics of the Scientifically Gifted to 5 main categories by study results. As well as this study may make up for foreign researches and existing researches dependent on quantitative research about behavior characteristics of the Scientifically Gifted, This can be used as a useful data for development of instrument for identifying the scientifically Gifted and teaching-studying program by supporting understand behavior characteristics of the Scientifically Gifted as a specific area of giftedness.

A Review of Declarations on Appropriate Research Evaluation for Exploring Their Applications to Research Evaluation System of Korea (연구성과평가 지침 리뷰 및 국내 적용 제안을 위한 고찰)

  • Yu, So-Young;Lee, Jae Yun;Chung, EunKyung;Lee, Boram
    • Journal of the Korean Society for information Management
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    • v.32 no.4
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    • pp.249-272
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    • 2015
  • Inappropriate applications of bibliometric approach and misinterpretation on the analysis in research evaluation have been found and recognized nationally and internationally as the use of the approach has been rapidly adopted in various sectors in research evaluation systems and research funding agencies. The flood of misuse led to several numbers of declarations and statements on appropriate research evaluation, including Leiden Manifesto, DORA, IEEE Statement, etc. The similar recommendations from five different declarations, Leiden Manifest, IEEE Statement, DORA, Institut de France, and Thomson Reuters White paper were reviewed and meta-analyzed in this study and it is revealed that most of them emphasize evaluation on quality in various aspects with multiple indicators. Research evaluation with assessing multiple aspects of individual research based on the understandings of its purpose and pertinent subject area was revealed as being mostly advised in the declarations, and this recommendation can be regarded as being mostly requested in national research evaluation system. For future study, interviews with relevant stakeholders of national research evaluation system in order to explore its application are needed to confirm the findings of this review.

Effects of Korean Wave on Chinese Tourist's Korean Food Recognition and Purchasing Intention (한류문화가 중국인 관광객의 한식 인지도 및 구매의도에 미치는 영향)

  • Lee, Sang-Mi
    • The Journal of the Korea Contents Association
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    • v.15 no.5
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    • pp.515-522
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    • 2015
  • This paper is 1) to find out possibility of expansion which connect with Korea foods and Korea wave, 2) to analyze how Korea Wave effects on Korean food's recognition and purchase intention. The questionnaires are distributed 200 who had visited in Korea and used for data analysis 184. The findings are showed up as followed; The first, Korea wave showed up Korea wave culture factor, and recognition divide into two factors such as Korea food's function and Korea food's recognition. The second, Korea wave culture had strong influence on Korean food's function factor. The third, Korea wave culture had highly influence on purchase intention which is cooking food at home, visiting Korean restaurant, and recommendation to many acquaintance. The fourth, Korea food's recognition had high recognized on purchase intention.

Evaluation of Structural Behavior of Reinforced Concrete Exterior Beam-Column Joints with High-Strength Concrete (고강도 콘크리트를 사용한 철근콘크리트 외부 보-기둥 접합부의 거동 평가)

  • Lee, Bum-Sik;Kim, Kyung-Duk;Kim, Sang-Woo;Kim, Kil-Hee;Lee, Jung-Yoon
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.18 no.6
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    • pp.72-81
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    • 2014
  • This paper reports the test results of reinforced concrete exterior beam-column joints with high-strength concrete. The main parameters of eight specimens were joint failure modes, the compressive strength of concrete, and the head shapes of steel bars. All specimens were designed according to ACI 352R-02 design recommendations. Two types of failure modes were considered; J-failure and BJ-failure. The longitudinal steel bars were anchored by 90 degree standard hooks or headed reinforcement. Experimental results indicated that the current ACI design recommendation limited by the compressive strength of concrete somewhat underestimated the strength of beam-column joints with high-strength concrete. In the specimens showed joint shear failure, the strength of beam-column joints with headed bars was approximately 10 percent higher than that of joints with 90 degree standard hooks.

High Quality Audio Watermarking using Spread Spectrum and Psychoacoustic Model (대역확산과 심리음향 모델을 이용한 고음질 오디오 워터마킹)

  • Noh Jin-Soo;Rhee Kang-Hyeon
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.43 no.5 s.311
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    • pp.48-56
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    • 2006
  • In this paper, we proposed the high quality audio watermarking algorithm using MDCT/IMDCT (Modified DCT/Inverse Modified DCT) with psychoacoustic model. Generally, a digital audio watermark is embedding the frequency domain after frequency transform of the digital audio data but the digital audio quality is affected by watermarking. In our scheme, the digital audio data is spread with PN((Pseudo Noise) code and then audio watermark is embedded in MDCT processing that refers psychoacoustic model. In MDCT processing, according to the shape of filter bank output, the block switching selects a window sequence that has 256, 1,024 or 2,048 points interval for high quality audio. The author confirm that when watermark weight ${\alpha}$ is 2.5 below, the detection ratio of watermark is a satisfied to SDMI's(Secure Digital Music Initiative) recommendation 50% above and SM is $50{\sim}68dB$ range with mainly 4 kind of attacks(Compression, Cropping, FFT and Echo).

Matching Fidelity Calculation System with Weighted MBTI Match Type (MBTI 일치유형에 가중치를 부여한 매칭 적합도 산출 시스템)

  • Kim, Sung-Ho;Kwun, Ou-Bong
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.4
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    • pp.1-11
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    • 2018
  • This paper consider the MBTI match type in order to meet the customer's dating in internet and online. The MBTI match type is confirmed through appropriate surveys and identifies the appropriate type of preference for each type. The preference type is different according to each MBTI type, and even though the same preference type is used, the preference type of each of men and women is different. In order to solve these problems, the preference type of each man and woman is weighted, and the weighted weights are used to calculate the fitness between the two. The system that weights the MBTI match type is highly likely to match in an online dating system because it uses the social human nature of people, and can be used in interpersonal relationship systems and teaching and learning systems and calibration systems.

A Similarity Measure Using Rating Ranges for Memory-based Collaborative Filtering (메모리 기반 협력필터링을 위한 평가 등급 범위를 이용한 유사도 척도)

  • Lee, Soojung
    • Journal of The Korean Association of Information Education
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    • v.17 no.4
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    • pp.375-382
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    • 2013
  • Collaborative filtering has been most widely used in commercial sites to recommend items based on the history of user preferences for items. The basic idea behind this method is to find similar users whose ratings for items are incorporated to make recommendations for new items. Hence, similarity calculation is most critical in recommendation performance. This paper presents a new similarity measure that takes each rating of a user relatively to his own ratings. Extensive experiments revealed that the proposed measure is more reliable than the classic measures in that it significantly decreases generation of extreme similarity values and its performance improves when consulting neighbors with high similarites only. In particular, the results show that the proposed measure is superior to the classic ones for datasets with large rating scales.

Personalized Bookmark Recommendation System Using Tag Network (태그 네트워크를 이용한 개인화 북마크 추천시스템)

  • Eom, Tae-Young;Kim, Woo-Ju;Park, Sang-Un
    • The Journal of Society for e-Business Studies
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    • v.15 no.4
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    • pp.181-195
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    • 2010
  • The participation and share between personal users are the driving force of Web 2.0, and easily found in blog, social network, collective intelligence, social bookmarking and tagging. Among those applications, the social bookmarking lets Internet users to store bookmarks online and share them, and provides various services based on shared bookmarks which people think important.Delicious.com is the representative site of social bookmarking services, and provides a bookmark search service by using tags which users attach to the bookmarks. Our paper suggests a method re-ranking the ranks from Delicious.com based on user tags in order to provide personalized bookmark recommendations. Moreover, a method to consider bookmarks which have tags not directly related to the user query keywords is suggested by using tag network based on Jaccard similarity coefficient. The performance of suggested system is verified with experiments that compare the ranks by Delicious.com with new ranks of our system.

Regional Characteristics of the Average-Year and the Worst-Month Rain Rate Distribution in Domestic Environment (국내 지역별 연평균 및 최악월 강우율 분포 특성)

  • Kang, Woo-Geun;Kim, In-Kyum;Kim, Su-Il;Pack, Jeong-Ki
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.23 no.11
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    • pp.1272-1279
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    • 2012
  • In this paper, models for the average-year rain rate distribution and the correlation between the worst-month and the average-year rain rate distribution in domestic environment were proposed, using the rainfall measurement data with 1-minute integration time of Korea Meteorological Administration. Comparison of the proposed model with the existing ITU-R model showed that the average rain rate of the proposed model for the exceed time rate of 0.01 % is about 28 % higher than that of the ITU-R recommendation. In addition, the correlation model between the worst-month and the average-year rain rate distribution was quite different from the ITU-R model. It is recommended that the domestic rain rate distribution model should be used for calculation of the statistical characteristics of rain attenuation(exceeded-time-rate distribution of rain attenuation) which is essential for the design of wireless communication systems in domestic environment.

A Study on Electric Power Monitoring System per Appliance (기기별 전력 모니터링 시스템 개발에 관한 연구)

  • Park, Sung-Wook;Kim, Jong-Shick;Lim, Su-Jin;HwangBo, Sea-Hee;Son, Joon-Ik;Lee, In-Yong;Wang, Bo-Hyeun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.5
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    • pp.638-644
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    • 2010
  • This paper presents ideas of service scenarios for home residents using electric power monitoring system per appliance, the implementation of the monitoring system, and analysis of acquired electric power usage pattern. By acquiring and analyzing electric power usage pattern, home residents can get information of power usage pattern of every legacy (non-Demand Response-ready) appliance. Further they can get pieces of recommendation how to reduce energy consumption, intelligent standby power blocking service, and alarming service to abnormality of appliances. In order to check the feasibility of the ideas, a system that can acquire electric power pattern per appliance is implemented, and electric power pattern of some appliances are stored to a database and it was analyzed to show if auto-identification of a type of a device is possible, which is a basic required function for the scenarios presented.